From 36a818bb3a80f450e718bb59a633b88046e5210f Mon Sep 17 00:00:00 2001 From: Matthew Zeitlin <37011898+mzeitlin11@users.noreply.github.com> Date: Thu, 16 Sep 2021 18:59:27 -0400 Subject: [PATCH 1/3] Backport PR #43608: REGR: spearman corr raising on 32-bit --- doc/source/whatsnew/v1.3.4.rst | 2 ++ pandas/tests/frame/methods/test_cov_corr.py | 3 --- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/doc/source/whatsnew/v1.3.4.rst b/doc/source/whatsnew/v1.3.4.rst index 519a3ea711f54..4bbd44b395a35 100644 --- a/doc/source/whatsnew/v1.3.4.rst +++ b/doc/source/whatsnew/v1.3.4.rst @@ -15,6 +15,8 @@ including other versions of pandas. Fixed regressions ~~~~~~~~~~~~~~~~~ - Fixed regression in :meth:`merge` with integer and ``NaN`` keys failing with ``outer`` merge (:issue:`43550`) +- Fixed performance regression in :meth:`MultiIndex.equals` (:issue:`43549`) +- Fixed regression in :meth:`DataFrame.corr` raising ``ValueError`` with ``method="spearman`` on 32-bit platforms (:issue:`43588`) - .. --------------------------------------------------------------------------- diff --git a/pandas/tests/frame/methods/test_cov_corr.py b/pandas/tests/frame/methods/test_cov_corr.py index c259902ec2498..3dbf49df72558 100644 --- a/pandas/tests/frame/methods/test_cov_corr.py +++ b/pandas/tests/frame/methods/test_cov_corr.py @@ -100,7 +100,6 @@ def test_corr_scipy_method(self, float_frame, method): # --------------------------------------------------------------------- - @td.skip_if_no_scipy def test_corr_non_numeric(self, float_string_frame): # exclude non-numeric types result = float_string_frame.corr() @@ -125,11 +124,9 @@ def test_corr_nooverlap(self, meth): assert rs.loc["B", "B"] == 1 assert isna(rs.loc["C", "C"]) - @td.skip_if_no_scipy @pytest.mark.parametrize("meth", ["pearson", "spearman"]) def test_corr_constant(self, meth): # constant --> all NA - df = DataFrame( { "A": [1, 1, 1, np.nan, np.nan, np.nan], From 87a99b0ca4ecd14477588e0a4a1243ccba161c57 Mon Sep 17 00:00:00 2001 From: Matthew Zeitlin Date: Thu, 16 Sep 2021 19:24:43 -0400 Subject: [PATCH 2/3] int64 -> intp --- pandas/_libs/algos.pyx | 6 +- pandas/_libs/sparse.html | 10324 ++++++++ pandas/_libs/sparse_op_helper.html | 33878 +++++++++++++++++++++++++++ 3 files changed, 44205 insertions(+), 3 deletions(-) create mode 100644 pandas/_libs/sparse.html create mode 100644 pandas/_libs/sparse_op_helper.html diff --git a/pandas/_libs/algos.pyx b/pandas/_libs/algos.pyx index f619f09f85e66..d574df772d7e2 100644 --- a/pandas/_libs/algos.pyx +++ b/pandas/_libs/algos.pyx @@ -389,11 +389,11 @@ def nancorr_spearman(ndarray[float64_t, ndim=2] mat, Py_ssize_t minp=1) -> ndarr int64_t nobs = 0 bint no_nans float64_t vx, vy, sumx, sumxx, sumyy, mean, divisor - const int64_t[:] labels_n, labels_nobs + const intp_t[:] labels_n, labels_nobs N, K = (mat).shape # For compatibility when calling rank_1d - labels_n = np.zeros(N, dtype=np.int64) + labels_n = np.zeros(N, dtype=np.intp) # Handle the edge case where we know all results will be nan # to keep conditional logic inside loop simpler @@ -451,7 +451,7 @@ def nancorr_spearman(ndarray[float64_t, ndim=2] mat, Py_ssize_t minp=1) -> ndarr with gil: # We need to slice back to nobs because rank_1d will # require arrays of nobs length - labels_nobs = np.zeros(nobs, dtype=np.int64) + labels_nobs = np.zeros(nobs, dtype=np.intp) rankedx = rank_1d(np.array(maskedx)[:nobs], labels=labels_nobs) rankedy = rank_1d(np.array(maskedy)[:nobs], diff --git a/pandas/_libs/sparse.html b/pandas/_libs/sparse.html new file mode 100644 index 0000000000000..e027abde9657e --- /dev/null +++ b/pandas/_libs/sparse.html @@ -0,0 +1,10324 @@ + + + + + + Cython: sparse.pyx + + + +

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+481:                     yi += 1
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 482:                 else:
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      __pyx_t_16 = __pyx_v_self->__pyx_base.xi;
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 786:
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 787:
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 788: # -----------------------------------------------------------------------------
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diff --git a/pandas/_libs/sparse_op_helper.html b/pandas/_libs/sparse_op_helper.html new file mode 100644 index 0000000000000..9c7cb436b4f5a --- /dev/null +++ b/pandas/_libs/sparse_op_helper.html @@ -0,0 +1,33878 @@ + + + + + + Cython: sparse_op_helper.pxi + + + +

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 0426:                                                 BlockIndex xindex,
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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 0552:     # walk the two SparseVectors, adding matched locations...
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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 0734:
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 0735:     # walk the two SparseVectors, adding matched locations...
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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      __pyx_t_16 = __pyx_v_yi;
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      goto __pyx_L3_continue;
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    __pyx_t_16 = __pyx_v_xi;
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 1000:
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 1001:     # Wow, what a hack job. Need to do something about this
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 1002:
+
 1003:     # walk the two SparseVectors, adding matched locations...
+
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  __pyx_t_11 = __pyx_v_out_index->npoints;
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    __pyx_t_14 = ((__pyx_v_yblock == __pyx_v_yindex->nblocks) != 0);
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 1006:             # use y fill value
+
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+
      __pyx_t_15 = __pyx_v_xi;
+      __pyx_t_16 = __pyx_v_out_i;
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+
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      __pyx_v_xi = (__pyx_v_xi + 1);
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 1009:
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
+
 1016:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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 1189:             # use y fill value
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      __pyx_t_15 = __pyx_v_xi;
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 1199:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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 1201:             # use x fill value
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      __pyx_t_15 = __pyx_v_yi;
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        __pyx_v_ybp = 0;
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 1211:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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 1524:                                                 BlockIndex xindex,
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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      goto __pyx_L3_continue;
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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      __pyx_t_16 = __pyx_v_xi;
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 1828:
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 1831, __pyx_L1_error)
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 1832:
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 1833:     # walk the two SparseVectors, adding matched locations...
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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 1836:             # use x fill value
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      __pyx_t_16 = __pyx_v_yi;
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      goto __pyx_L3_continue;
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 1840:
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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 1842:             # use y fill value
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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+1845:             continue
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      goto __pyx_L3_continue;
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 1846:
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    __pyx_t_16 = __pyx_v_xi;
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    __pyx_t_16 = __pyx_v_yi;
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 1849:
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 1850:         # each index in the out_index had to come from either x, y, or both
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    __pyx_t_15 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
+
 1924:
+
 1925:             # advance x location
+
+1926:             xbp += 1
+
      __pyx_v_xbp = (__pyx_v_xbp + 1);
+
+1927:             if xbp == xindex.lenbuf[xblock]:
+
      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
+      if (__pyx_t_14) {
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
+
+1929:                 xbp = 0
+
        __pyx_v_xbp = 0;
+
+1930:             continue
+
      goto __pyx_L3_continue;
+
 1931:
+
+1932:         if xblock == xindex.nblocks:
+
    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
+    if (__pyx_t_14) {
+/* … */
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+
 1933:             # use x fill value
+
+1934:             out[out_i] = __truediv__(xfill, y[yi])
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      __pyx_t_15 = __pyx_v_yi;
+      __pyx_t_16 = __pyx_v_out_i;
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+
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+
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+
 1936:
+
 1937:             # advance y location
+
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+
+1939:             if ybp == yindex.lenbuf[yblock]:
+
      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
+
+1941:                 ybp = 0
+
        __pyx_v_ybp = 0;
+
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+
      goto __pyx_L3_continue;
+
 1943:
+
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+
    __pyx_v_yloc = ((__pyx_v_yindex->locbuf[__pyx_v_yblock]) + __pyx_v_ybp);
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+
    __pyx_v_xloc = ((__pyx_v_xindex->locbuf[__pyx_v_xblock]) + __pyx_v_xbp);
+
 1946:
+
 1947:         # each index in the out_index had to come from either x, y, or both
+
+1948:         if xloc == yloc:
+
    __pyx_t_14 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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+      goto __pyx_L9;
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+
      __pyx_t_15 = __pyx_v_xi;
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+      __pyx_t_17 = __pyx_v_out_i;
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      __pyx_v_yi = (__pyx_v_yi + 1);
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+
 1953:             # advance both locations
+
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      __pyx_v_xbp = (__pyx_v_xbp + 1);
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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 1958:
+
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      __pyx_v_ybp = (__pyx_v_ybp + 1);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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+
+1964:         elif xloc < yloc:
+
    __pyx_t_14 = ((__pyx_v_xloc < __pyx_v_yloc) != 0);
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 1965:             # use y fill value
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      __pyx_t_16 = __pyx_v_xi;
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+
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+
 1969:             # advance x location
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+1971:             if xbp == xindex.lenbuf[xblock]:
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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 1974:         else:
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 1975:             # use x fill value
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    /*else*/ {
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+      __pyx_t_15 = __pyx_v_out_i;
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+
+1977:             yi += 1
+
      __pyx_v_yi = (__pyx_v_yi + 1);
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 1979:             # advance y location
+
+1980:             ybp += 1
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      __pyx_v_ybp = (__pyx_v_ybp + 1);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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+
 1986:
+
 1987:
+
 1988: @cython.wraparound(False)
+
 1989: @cython.boundscheck(False)
+
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_truediv_float64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_float64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_float64_t __pyx_v_yfill) {
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+  __Pyx_memviewslice __pyx_v_yindices = { 0, 0, { 0 }, { 0 }, { 0 } };
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+  __Pyx_Buffer __pyx_pybuffer_out;
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+}
+
 1991:                                               IntIndex xindex,
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 1992:                                               float64_t xfill,
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 1993:                                               float64_t[:] y_,
+
 1994:                                               IntIndex yindex,
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 1995:                                               float64_t yfill):
+
 1996:     cdef:
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 1997:         IntIndex out_index
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  __pyx_v_xi = 0;
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 1999:         int32_t xloc, yloc
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 2000:         int32_t[:] xindices, yindices, out_indices
+
 2001:         float64_t[:] x, y
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 2002:         ndarray[float64_t, ndim=1] out
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 2003:
+
 2004:     # suppress Cython compiler warnings due to inlining
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+2005:     x = x_
+
  __PYX_INC_MEMVIEW(&__pyx_v_x_, 0);
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+2006:     y = y_
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  __PYX_INC_MEMVIEW(&__pyx_v_y_, 0);
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 2007:
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 2008:     # need to do this first to know size of result array
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  __pyx_t_1 = ((PyObject *)((struct __pyx_vtabstruct_6pandas_5_libs_6sparse_IntIndex *)__pyx_v_xindex->__pyx_vtab)->make_union(__pyx_v_xindex, ((struct __pyx_obj_6pandas_5_libs_6sparse_SparseIndex *)__pyx_v_yindex), 0)); if (unlikely(!__pyx_t_1)) __PYX_ERR(2, 2009, __pyx_L1_error)
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_yindex->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 2013, __pyx_L1_error)
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 2014, __pyx_L1_error)
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 2015:
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 2016:     # walk the two SparseVectors, adding matched locations...
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 2019:             # use x fill value
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+/* … */
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+
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      __pyx_t_15 = __pyx_v_xi;
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+
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+
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 2114:
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+
    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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+/* … */
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 2116:             # use x fill value
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+2117:             out[out_i] = __truediv__(xfill, y[yi])
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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      goto __pyx_L3_continue;
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 2126:
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 2262:     Binary operator on BlockIndex objects with fill values
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 2291:             # advance x location
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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 2299:             # use x fill value
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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      goto __pyx_L3_continue;
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_floordiv_float64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_float64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_float64_t __pyx_v_yfill) {
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_block_op_floordiv_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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 2439:                                                 BlockIndex xindex,
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 2440:                                                 int64_t xfill,
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 2442:                                                 BlockIndex yindex,
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 2444:     '''
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 2445:     Binary operator on BlockIndex objects with fill values
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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      goto __pyx_L3_continue;
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 2492:
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    __pyx_t_14 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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      __pyx_t_15 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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      __pyx_v_yi = (__pyx_v_yi + 1);
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 2501:
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 2502:             # advance both locations
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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    __pyx_t_14 = ((__pyx_v_xloc < __pyx_v_yloc) != 0);
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 2514:             # use y fill value
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_pow_float64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_float64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_float64_t __pyx_v_yfill) {
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 2743:
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 2746, __pyx_L1_error)
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 2747:
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 2748:     # walk the two SparseVectors, adding matched locations...
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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 2751:             # use x fill value
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      __pyx_t_16 = __pyx_v_yi;
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      __pyx_v_yi = (__pyx_v_yi + 1);
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      goto __pyx_L3_continue;
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 2755:
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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 2757:             # use y fill value
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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      goto __pyx_L3_continue;
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 2761:
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    __pyx_t_16 = __pyx_v_xi;
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    __pyx_t_16 = __pyx_v_yi;
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 2764:
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 2765:         # each index in the out_index had to come from either x, y, or both
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    __pyx_t_15 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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 3013:
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 3015:
+
 3016:     # walk the two SparseVectors, adding matched locations...
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  __pyx_t_11 = __pyx_v_out_index->npoints;
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    __pyx_t_14 = ((__pyx_v_yblock == __pyx_v_yindex->nblocks) != 0);
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 3019:             # use y fill value
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      __pyx_t_15 = __pyx_v_xi;
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 3029:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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 3212:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_block_op_ne_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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 3537:                                                 BlockIndex xindex,
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 3578:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_block_op_lt_float64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_xindex, __pyx_t_5numpy_float64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_yindex, __pyx_t_5numpy_float64_t __pyx_v_yfill) {
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_lt_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 4027, __pyx_L1_error)
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 4028:
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 4029:     # walk the two SparseVectors, adding matched locations...
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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 4032:             # use x fill value
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      __pyx_t_16 = __pyx_v_yi;
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      __pyx_v_yi = (__pyx_v_yi + 1);
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      goto __pyx_L3_continue;
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 4036:
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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      goto __pyx_L3_continue;
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 4042:
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    __pyx_t_16 = __pyx_v_xi;
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    __pyx_t_16 = __pyx_v_yi;
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 4045:
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 4046:         # each index in the out_index had to come from either x, y, or both
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    __pyx_t_15 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_gt_float64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_float64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_float64_t __pyx_v_yfill) {
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 4212:     # walk the two SparseVectors, adding matched locations...
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+    if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(2, 4293, __pyx_L1_error)
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+  __pyx_t_6 = 0;
+  __pyx_v_out = ((PyArrayObject *)__pyx_t_5);
+  __pyx_t_5 = 0;
+
 4294:
+
 4295:     # Wow, what a hack job. Need to do something about this
+
 4296:
+
 4297:     # walk the two SparseVectors, adding matched locations...
+
+4298:     for out_i in range(out_index.npoints):
+
  __pyx_t_11 = __pyx_v_out_index->npoints;
+  __pyx_t_12 = __pyx_t_11;
+  for (__pyx_t_13 = 0; __pyx_t_13 < __pyx_t_12; __pyx_t_13+=1) {
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+
+4299:         if yblock == yindex.nblocks:
+
    __pyx_t_14 = ((__pyx_v_yblock == __pyx_v_yindex->nblocks) != 0);
+    if (__pyx_t_14) {
+/* … */
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+
 4300:             # use y fill value
+
+4301:             out[out_i] = x[xi] > yfill
+
      __pyx_t_15 = __pyx_v_xi;
+      __pyx_t_16 = __pyx_v_out_i;
+      *__Pyx_BufPtrStrided1d(__pyx_t_5numpy_uint8_t *, __pyx_pybuffernd_out.rcbuffer->pybuffer.buf, __pyx_t_16, __pyx_pybuffernd_out.diminfo[0].strides) = ((*((__pyx_t_5numpy_int64_t *) ( /* dim=0 */ (__pyx_v_x.data + __pyx_t_15 * __pyx_v_x.strides[0]) ))) > __pyx_v_yfill);
+
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+
      __pyx_v_xi = (__pyx_v_xi + 1);
+
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+
 4304:             # advance x location
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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+/* … */
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
+
+4308:                 xbp = 0
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
+
 4310:
+
+4311:         if xblock == xindex.nblocks:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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      __pyx_t_15 = __pyx_v_xi;
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      goto __pyx_L3_continue;
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 4493:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 4676:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_block_op_ge_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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 5001:                                                 BlockIndex xindex,
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 5002:                                                 int64_t xfill,
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 5004:                                                 BlockIndex yindex,
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 5006:     '''
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 5007:     Binary operator on BlockIndex objects with fill values
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 5042:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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        __pyx_v_ybp = 0;
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 5057:
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 5058:         # each index in the out_index had to come from either x, y, or both
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    __pyx_t_14 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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      __pyx_v_xi = (__pyx_v_xi + 1);
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      __pyx_v_yi = (__pyx_v_yi + 1);
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 5064:             # advance both locations
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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      __pyx_v_ybp = (__pyx_v_ybp + 1);
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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        __pyx_v_yblock = (__pyx_v_yblock + 1);
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    __pyx_t_14 = ((__pyx_v_xloc < __pyx_v_yloc) != 0);
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_t_14 = ((__pyx_v_xbp == (__pyx_v_xindex->lenbuf[__pyx_v_xblock])) != 0);
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    /*else*/ {
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_block_op_and_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_BlockIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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 5184:                                                 BlockIndex xindex,
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_and_int64(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_int64_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_int64_t __pyx_v_yfill) {
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_yindex->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 5307, __pyx_L1_error)
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 5308, __pyx_L1_error)
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 5309:
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 5310:     # walk the two SparseVectors, adding matched locations...
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  __pyx_t_12 = __pyx_v_out_index->npoints;
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+5312:         if xi == xindex.npoints:
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    __pyx_t_15 = ((__pyx_v_xi == __pyx_v_xindex->npoints) != 0);
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 5313:             # use x fill value
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      __pyx_t_16 = __pyx_v_yi;
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+5315:             yi += 1
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      __pyx_v_yi = (__pyx_v_yi + 1);
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+5316:             continue
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      goto __pyx_L3_continue;
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 5317:
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+5318:         if yi == yindex.npoints:
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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 5319:             # use y fill value
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      __pyx_t_16 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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+5322:             continue
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      goto __pyx_L3_continue;
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 5323:
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+5324:         xloc = xindices[xi]
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    __pyx_t_16 = __pyx_v_xi;
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+5325:         yloc = yindices[yi]
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    __pyx_t_16 = __pyx_v_yi;
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 5326:
+
 5327:         # each index in the out_index had to come from either x, y, or both
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+5328:         if xloc == yloc:
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    __pyx_t_15 = ((__pyx_v_xloc == __pyx_v_yloc) != 0);
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+5329:             out[out_i] = x[xi] & y[yi]
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      __pyx_t_16 = __pyx_v_xi;
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+5330:             xi += 1
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      __pyx_v_yi = (__pyx_v_yi + 1);
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    __pyx_t_15 = ((__pyx_v_xloc < __pyx_v_yloc) != 0);
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 5333:             # use y fill value
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      __pyx_t_17 = __pyx_v_xi;
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      __pyx_v_xi = (__pyx_v_xi + 1);
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 5336:         else:
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 5337:             # use x fill value
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    /*else*/ {
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static CYTHON_INLINE PyObject *__pyx_f_6pandas_5_libs_6sparse_int_op_and_uint8(__Pyx_memviewslice __pyx_v_x_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_xindex, __pyx_t_5numpy_uint8_t __pyx_v_xfill, __Pyx_memviewslice __pyx_v_y_, struct __pyx_obj_6pandas_5_libs_6sparse_IntIndex *__pyx_v_yindex, __pyx_t_5numpy_uint8_t __pyx_v_yfill) {
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  __pyx_t_11 = __Pyx_PyObject_to_MemoryviewSlice_ds_nn___pyx_t_5numpy_int32_t(((PyObject *)__pyx_v_out_index->indices), PyBUF_WRITABLE); if (unlikely(!__pyx_t_11.memview)) __PYX_ERR(2, 5491, __pyx_L1_error)
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 5492:
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 5493:     # walk the two SparseVectors, adding matched locations...
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 5500:
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    __pyx_t_15 = ((__pyx_v_yi == __pyx_v_yindex->npoints) != 0);
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      goto __pyx_L3_continue;
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 5506:
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    __pyx_t_16 = __pyx_v_xi;
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 5774:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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        __pyx_v_xblock = (__pyx_v_xblock + 1);
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        __pyx_v_xbp = 0;
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      goto __pyx_L3_continue;
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 5957:
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+5958:         if xblock == xindex.nblocks:
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    __pyx_t_14 = ((__pyx_v_xblock == __pyx_v_xindex->nblocks) != 0);
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      __pyx_t_15 = __pyx_v_yi;
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      __pyx_t_14 = ((__pyx_v_ybp == (__pyx_v_yindex->lenbuf[__pyx_v_yblock])) != 0);
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From 251bea2978b095cbd530dff13e73fc5d85e94883 Mon Sep 17 00:00:00 2001 From: Matthew Zeitlin Date: Thu, 16 Sep 2021 19:31:18 -0400 Subject: [PATCH 3/3] fixups --- doc/source/whatsnew/v1.3.4.rst | 1 - pandas/_libs/sparse.html | 10324 -------- pandas/_libs/sparse_op_helper.html | 33878 --------------------------- 3 files changed, 44203 deletions(-) delete mode 100644 pandas/_libs/sparse.html delete mode 100644 pandas/_libs/sparse_op_helper.html diff --git a/doc/source/whatsnew/v1.3.4.rst b/doc/source/whatsnew/v1.3.4.rst index 4bbd44b395a35..92a3d05a7efc5 100644 --- a/doc/source/whatsnew/v1.3.4.rst +++ b/doc/source/whatsnew/v1.3.4.rst @@ -15,7 +15,6 @@ including other versions of pandas. Fixed regressions ~~~~~~~~~~~~~~~~~ - Fixed regression in :meth:`merge` with integer and ``NaN`` keys failing with ``outer`` merge (:issue:`43550`) -- Fixed performance regression in :meth:`MultiIndex.equals` (:issue:`43549`) - Fixed regression in :meth:`DataFrame.corr` raising ``ValueError`` with ``method="spearman`` on 32-bit platforms (:issue:`43588`) - diff --git a/pandas/_libs/sparse.html b/pandas/_libs/sparse.html deleted file mode 100644 index e027abde9657e..0000000000000 --- a/pandas/_libs/sparse.html +++ /dev/null @@ -1,10324 +0,0 @@ - - - - - - Cython: sparse.pyx - - - -

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-
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-
 1925:             # advance x location
-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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-
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 4294:
-
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-
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-
 4297:     # walk the two SparseVectors, adding matched locations...
-
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-
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-
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-
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-
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-
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-
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-
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-
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