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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 PyObjectDoes not understand character buffer dtype format string ('%c')Cannot convert %.200s to %.200ssklearn/ensemble/_hist_gradient_boosting/histogram.cView.MemoryView.memoryview.__str__View.MemoryView.memoryview.size.__get__View.MemoryView.memoryview.nbytes.__get__View.MemoryView.memoryview.itemsize.__get__View.MemoryView.memoryview.ndim.__get__View.MemoryView.memoryview.suboffsets.__get__View.MemoryView.memoryview.shape.__get__View.MemoryView.memoryview.assign_item_from_objectView.MemoryView._memoryviewslice.assign_item_from_objectView.MemoryView.memoryview.setitem_indexedView.MemoryView.array.memview.__get__View.MemoryView.array.__getattr__View.MemoryView.array.__getitem__View.MemoryView.array.__setitem__Subscript deletion not supported by %.200ssklearn/ensemble/_hist_gradient_boosting/histogram.pyxsklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.hessians_are_constant.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.n_bins.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.n_features.__get__%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'%.200s() takes %.8s %zd positional argument%.1s (%zd given)Unexpected format string character: '%c'Expected 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 stringExpected 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 ')'__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)calling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionView.MemoryView.array.__reduce_cython__View.MemoryView.array.__setstate_cython__View.MemoryView.memoryview.__reduce_cython__View.MemoryView.memoryview.__setstate_cython__View.MemoryView.memoryview.strides.__get__View.MemoryView._memoryviewslice.__reduce_cython__View.MemoryView._memoryviewslice.__setstate_cython__PyObject_GetBuffer: view==NULL argument is obsoleteView.MemoryView.array.__getbuffer__View.MemoryView.memoryview.__getbuffer__View.MemoryView.memoryview.convert_item_to_objectView.MemoryView._memoryviewslice.convert_item_to_objectAcquisition count is %d (line %d)View.MemoryView.array.get_memviewView.MemoryView.memoryview_cwrapperBuffer has wrong number of dimensions (expected %d, got %d)Item size of buffer (%zu byte%s) does not match size of '%s' (%zu byte%s)Buffer is not indirectly contiguous in dimension %d.Buffer and memoryview are not contiguous in the same dimension.C-contiguous buffer is not contiguous in dimension %dC-contiguous buffer is not indirect in dimension %dBuffer exposes suboffsets but no stridesBuffer not compatible with direct access in dimension %d.Buffer is not indirectly accessible in dimension %d.Buffer not fortran contiguous.View.MemoryView.memoryview.is_sliceView.MemoryView.Enum.__reduce_cython__View.MemoryView.array.__cinit__Argument '%.200s' must not be Noneobject of type 'NoneType' has no len()expected bytes, NoneType foundArgument '%.200s' has incorrect type (expected %.200s, got %.200s)View.MemoryView.memoryview.__repr__c-string too long to convert to PythonStep may not be zero (axis %d)All dimensions preceding dimension %d must be indexed and not slicedView.MemoryView.slice_memviewslicevalue too large to convert to intView.MemoryView.memoryview_fromsliceView.MemoryView.memoryview_copy_from_slicelocal variable '%s' referenced before assignmenttoo many values to unpack (expected %zd)need more than %zd value%.1s to unpack'NoneType' object is not iterableView.MemoryView.memoryview.__getitem__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.ordered_hessians.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.ordered_gradients.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.hessians.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.gradients.__get__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.X_binned.__get__value too large to convert to unsigned charcan't convert negative value to unsigned charsklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.hessians_are_constant.__set__value too large to convert to unsigned intcan't convert negative value to unsigned intFromPyStructUtility.__pyx_convert__from_py_struct____pyx_t_7sklearn_8ensemble_23_hist_gradient_boosting_6common_hist_structsklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.n_features.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.n_bins.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.__reduce_cython__View.MemoryView.get_slice_from_memviewView.MemoryView.memoryview.is_f_contigView.MemoryView.memoryview.is_c_contigView.MemoryView.assert_direct_dimensionsView.MemoryView.memoryview.setitem_slice_assign_scalarsklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.ordered_gradients.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.hessians.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.gradients.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.ordered_hessians.__set__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.X_binned.__set__'NoneType' object is not subscriptablehasattr(): attribute name must be stringView.MemoryView.__pyx_unpickle_Enum__set_stateView.MemoryView.Enum.__setstate_cython___build_histogram_root_no_hessiansklearn.ensemble._hist_gradient_boosting.histogram._build_histogram_root_no_hessiancompute_histograms_subtractionsklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.compute_histograms_subtractionsklearn.ensemble._hist_gradient_boosting.histogram._build_histogram_rootsklearn.ensemble._hist_gradient_boosting.histogram._build_histogram_no_hessiansklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.compute_histograms_bruteView.MemoryView.memoryview.__setitem__View.MemoryView.memoryview.__cinit__Cannot transpose memoryview with indirect dimensionsView.MemoryView.transpose_memsliceView.MemoryView.memoryview_copyView.MemoryView.memoryview.T.__get__View.MemoryView.copy_data_to_tempView.MemoryView.memoryview_copy_contentsCannot copy memoryview slice with indirect dimensions (axis %d)View.MemoryView.array_cwrapperView.MemoryView.memoryview.copy_fortranView.MemoryView.memoryview.copyView.MemoryView.memoryview.setitem_slice_assignmentsklearn.ensemble._hist_gradient_boosting.histogram._build_histogram_naivesklearn.ensemble._hist_gradient_boosting.histogram._build_histogramsklearn.ensemble._hist_gradient_boosting.histogram.__pyx_unpickle_HistogramBuilder__set_statesklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.__setstate_cython__sklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder._compute_histogram_brute_single_featuresklearn.ensemble._hist_gradient_boosting.histogram._subtract_histogramssklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilder.__init____pyx_unpickle_HistogramBuildersklearn.ensemble._hist_gradient_boosting.histogram.__pyx_unpickle_HistogramBuilderView.MemoryView.__pyx_unpickle_Enuminteger division or modulo by zerovalue too large to perform divisionView.MemoryView.pybuffer_indexView.MemoryView.memoryview.get_item_pointersklearn.ensemble._hist_gradient_boosting.histogramcompiletime version %s of module '%.100s' does not match runtime version %sinit sklearn.ensemble._hist_gradient_boosting.histogramsklearn.ensemble._hist_gradient_boosting.histogram._memoryviewsliceInternal class for passing memoryview slices to Pythonsklearn.ensemble._hist_gradient_boosting.histogram.memoryviewsklearn.ensemble._hist_gradient_boosting.histogram.Enumsklearn.ensemble._hist_gradient_boosting.histogram.arraysklearn.ensemble._hist_gradient_boosting.histogram.HistogramBuilderA Histogram builder... used to build histograms.

    A histogram is an array with n_bins entries of type HISTOGRAM_DTYPE. Each
    feature has its own histogram. A histogram contains the sum of gradients
    and hessians of all the samples belonging to each bin.

    There are different ways to build a histogram:
    - by subtraction: hist(child) = hist(parent) - hist(sibling)
    - from scratch. In this case we have rountines that update the hessians
      or not (not useful when hessians are constant for some losses e.g.
      least squares). Also, there's a special case for the root which
      contains all the samples, leading to some possible optimizations.
      Overall all the implementations look the same, and are optimized for
      cache hit.

    Parameters
    ----------
    X_binned : ndarray of int, shape (n_samples, n_features)
        The binned input samples. Must be Fortran-aligned.
    n_bins : int
        The total number of bins, including the bin for missing values. Used
        to define the shape of the histograms.
    gradients : ndarray, shape (n_samples,)
        The gradients of each training sample. Those are the gradients of the
        loss w.r.t the predictions, evaluated at iteration i - 1.
    hessians : ndarray, shape (n_samples,)
        The hessians of each training sample. Those are the hessians of the
        loss w.r.t the predictions, evaluated at iteration i - 1.
    hessians_are_constant : bool
        Whether hessians are constant.
    €¿ð¿
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Üà"H@RÀ €1	þÿÿoP ÿÿÿoðÿÿoüùÿÿoð
 Ý"¶^Æ^Ö^æ^ö^__&_6_F_V_f_v_†_–_¦_¶_Æ_Ö_æ_ö_``&`6`F`V`f`v`†`–`¦`¶`Æ`Ö`æ`ö`aa&a6aFaVafava†a–a¦a¶aÆaÖaæaöabb&b6bFbVbfbvb†b–b¦b¶bÆbÖbæböbcc&c6cFcVcfcvc†c–c¦c¶cÆcÖcæcöcdd&d6dFdVdfdvd†d–d¦d¶dÆdÖdædödee&e6eFeVefeve†e–e¦e¶eÆeÖeæeöeff&f6fFfVfffvf†f–f¦f¶fÆfÖf@ä"Compute histogram of the root node, not updating hessians.

    Used when the hessians of the loss are constant (typically LS loss).
    Compute histogram of the root node.

    Unlike other nodes, the root node has to find the split among *all* the
    samples from the training set. binned_feature and all_gradients /
    all_hessians already have a consistent ordering.
    Return histogram for a given feature, not updating hessians.

    Used when the hessians of the loss are constant (typically LS loss).
    Return histogram for a given feature.compute (hist_a - hist_b) in outBuild histogram in a naive way, without optimizing for cache hit.

    Used in tests to compare with the optimized version.Compute the histograms of the node using the subtraction trick.

        hist(parent) = hist(left_child) + hist(right_child)

        For a given feature, the complexity is O(n_bins). This is much more
        efficient than compute_histograms_brute, but it's only possible for one
        of the siblings.

        Parameters
        ----------
        parent_histograms : ndarray of HISTOGRAM_DTYPE,                 shape (n_features, n_bins)
            The histograms of the parent.
        sibling_histograms : ndarray of HISTOGRAM_DTYPE,                 shape (n_features, n_bins)
            The histograms of the sibling.

        Returns
        -------
        histograms : ndarray of HISTOGRAM_DTYPE, shape(n_features, n_bins)
            The computed histograms of the current node.
        Compute the histograms of the node by scanning through all the data.

        For a given feature, the complexity is O(n_samples)

        Parameters
        ----------
        sample_indices : array of int, shape (n_samples_at_node,)
            The indices of the samples at the node to split.

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        histograms : ndarray of HISTOGRAM_DTYPE, shape (n_features, n_bins)
            The computed histograms of the current node.
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