Remove deps on pandas

<https://github.com/ydb-platform/ydb/pull/14418>

<https://github.com/ydb-platform/ydb/pull/14419>
\-- аналогичные правки в gh

Хочу залить в обход синка, чтобы посмотреть удалится ли pandas в нашей gh репе через piglet
commit_hash:abca127aa37d4dbb94b07e1e18cdb8eb5b711860

1 files changed, 0 insertions, 297 deletions

diff --git a/contrib/python/matplotlib/py3/src/_image_wrapper.cpp b/contrib/python/matplotlib/py3/src/_image_wrapper.cpp
deleted file mode 100644
index ca6ae8b2226..00000000000
--- a/contrib/python/matplotlib/py3/src/_image_wrapper.cpp
+++ /dev/null
@@ -1,297 +0,0 @@
-#include "mplutils.h"
-#include "_image_resample.h"
-#include "numpy_cpp.h"
-#include "py_converters.h"
-
-
-/**********************************************************************
- * Free functions
- * */
-
-const char* image_resample__doc__ =
-"resample(input_array, output_array, transform, interpolation=NEAREST, resample=False, alpha=1.0, norm=False, radius=1.0)\n"
-"--\n\n"
-
-"Resample input_array, blending it in-place into output_array, using an\n"
-"affine transformation.\n\n"
-
-"Parameters\n"
-"----------\n"
-"input_array : 2-d or 3-d NumPy array of float, double or `numpy.uint8`\n"
-"    If 2-d, the image is grayscale.  If 3-d, the image must be of size\n"
-"    4 in the last dimension and represents RGBA data.\n\n"
-
-"output_array : 2-d or 3-d NumPy array of float, double or `numpy.uint8`\n"
-"    The dtype and number of dimensions must match `input_array`.\n\n"
-
-"transform : matplotlib.transforms.Transform instance\n"
-"    The transformation from the input array to the output array.\n\n"
-
-"interpolation : int, default: NEAREST\n"
-"    The interpolation method.  Must be one of the following constants\n"
-"    defined in this module:\n\n"
-
-"      NEAREST, BILINEAR, BICUBIC, SPLINE16, SPLINE36,\n"
-"      HANNING, HAMMING, HERMITE, KAISER, QUADRIC, CATROM, GAUSSIAN,\n"
-"      BESSEL, MITCHELL, SINC, LANCZOS, BLACKMAN\n\n"
-
-"resample : bool, optional\n"
-"    When `True`, use a full resampling method.  When `False`, only\n"
-"    resample when the output image is larger than the input image.\n\n"
-
-"alpha : float, default: 1\n"
-"    The transparency level, from 0 (transparent) to 1 (opaque).\n\n"
-
-"norm : bool, default: False\n"
-"    Whether to norm the interpolation function.\n\n"
-
-"radius: float, default: 1\n"
-"    The radius of the kernel, if method is SINC, LANCZOS or BLACKMAN.\n";
-
-
-static PyArrayObject *
-_get_transform_mesh(PyObject *py_affine, npy_intp *dims)
-{
-    /* TODO: Could we get away with float, rather than double, arrays here? */
-
-    /* Given a non-affine transform object, create a mesh that maps
-    every pixel in the output image to the input image.  This is used
-    as a lookup table during the actual resampling. */
-
-    PyObject *py_inverse = NULL;
-    npy_intp out_dims[3];
-
-    out_dims[0] = dims[0] * dims[1];
-    out_dims[1] = 2;
-
-    py_inverse = PyObject_CallMethod(py_affine, "inverted", NULL);
-    if (py_inverse == NULL) {
-        return NULL;
-    }
-
-    numpy::array_view<double, 2> input_mesh(out_dims);
-    double *p = (double *)input_mesh.data();
-
-    for (npy_intp y = 0; y < dims[0]; ++y) {
-        for (npy_intp x = 0; x < dims[1]; ++x) {
-            *p++ = (double)x;
-            *p++ = (double)y;
-        }
-    }
-
-    PyObject *output_mesh = PyObject_CallMethod(
-        py_inverse, "transform", "O", input_mesh.pyobj_steal());
-
-    Py_DECREF(py_inverse);
-
-    if (output_mesh == NULL) {
-        return NULL;
-    }
-
-    PyArrayObject *output_mesh_array =
-        (PyArrayObject *)PyArray_ContiguousFromAny(
-            output_mesh, NPY_DOUBLE, 2, 2);
-
-    Py_DECREF(output_mesh);
-
-    if (output_mesh_array == NULL) {
-        return NULL;
-    }
-
-    return output_mesh_array;
-}
-
-
-static PyObject *
-image_resample(PyObject *self, PyObject* args, PyObject *kwargs)
-{
-    PyObject *py_input = NULL;
-    PyObject *py_output = NULL;
-    PyObject *py_transform = NULL;
-    resample_params_t params;
-
-    PyArrayObject *input = NULL;
-    PyArrayObject *output = NULL;
-    PyArrayObject *transform_mesh = NULL;
-    int ndim;
-    int type;
-
-    params.interpolation = NEAREST;
-    params.transform_mesh = NULL;
-    params.resample = false;
-    params.norm = false;
-    params.radius = 1.0;
-    params.alpha = 1.0;
-
-    const char *kwlist[] = {
-        "input_array", "output_array", "transform", "interpolation",
-        "resample", "alpha", "norm", "radius", NULL };
-
-    if (!PyArg_ParseTupleAndKeywords(
-            args, kwargs, "OOO|iO&dO&d:resample", (char **)kwlist,
-            &py_input, &py_output, &py_transform,
-            &params.interpolation, &convert_bool, &params.resample,
-            &params.alpha, &convert_bool, &params.norm, &params.radius)) {
-        return NULL;
-    }
-
-    if (params.interpolation < 0 || params.interpolation >= _n_interpolation) {
-        PyErr_Format(PyExc_ValueError, "Invalid interpolation value %d",
-                     params.interpolation);
-        goto error;
-    }
-
-    input = (PyArrayObject *)PyArray_FromAny(
-        py_input, NULL, 2, 3, NPY_ARRAY_C_CONTIGUOUS, NULL);
-    if (!input) {
-        goto error;
-    }
-    ndim = PyArray_NDIM(input);
-    type = PyArray_TYPE(input);
-
-    if (!PyArray_Check(py_output)) {
-        PyErr_SetString(PyExc_ValueError, "Output array must be a NumPy array");
-        goto error;
-    }
-    output = (PyArrayObject *)py_output;
-    if (PyArray_NDIM(output) != ndim) {
-        PyErr_Format(
-            PyExc_ValueError,
-            "Input (%dD) and output (%dD) have different dimensionalities.",
-            ndim, PyArray_NDIM(output));
-        goto error;
-    }
-    // PyArray_FromAny above checks that input is 2D or 3D.
-    if (ndim == 3 && (PyArray_DIM(input, 2) != 4 || PyArray_DIM(output, 2) != 4)) {
-        PyErr_Format(
-            PyExc_ValueError,
-            "If 3D, input and output arrays must be RGBA with shape (M, N, 4); "
-            "got trailing dimensions of %" NPY_INTP_FMT " and %" NPY_INTP_FMT
-            " respectively", PyArray_DIM(input, 2), PyArray_DIM(output, 2));
-        goto error;
-    }
-    if (PyArray_TYPE(output) != type) {
-        PyErr_SetString(PyExc_ValueError, "Mismatched types");
-        goto error;
-    }
-    if (!PyArray_IS_C_CONTIGUOUS(output)) {
-        PyErr_SetString(PyExc_ValueError, "Output array must be C-contiguous");
-        goto error;
-    }
-
-    if (py_transform == NULL || py_transform == Py_None) {
-        params.is_affine = true;
-    } else {
-        PyObject *py_is_affine;
-        int py_is_affine2;
-        py_is_affine = PyObject_GetAttrString(py_transform, "is_affine");
-        if (!py_is_affine) {
-            goto error;
-        }
-
-        py_is_affine2 = PyObject_IsTrue(py_is_affine);
-        Py_DECREF(py_is_affine);
-
-        if (py_is_affine2 == -1) {
-            goto error;
-        } else if (py_is_affine2) {
-            if (!convert_trans_affine(py_transform, &params.affine)) {
-                goto error;
-            }
-            params.is_affine = true;
-        } else {
-            transform_mesh = _get_transform_mesh(
-                py_transform, PyArray_DIMS(output));
-            if (!transform_mesh) {
-                goto error;
-            }
-            params.transform_mesh = (double *)PyArray_DATA(transform_mesh);
-            params.is_affine = false;
-        }
-    }
-
-    if (auto resampler =
-            (ndim == 2) ? (
-                (type == NPY_UINT8) ? resample<agg::gray8> :
-                (type == NPY_INT8) ? resample<agg::gray8> :
-                (type == NPY_UINT16) ? resample<agg::gray16> :
-                (type == NPY_INT16) ? resample<agg::gray16> :
-                (type == NPY_FLOAT32) ? resample<agg::gray32> :
-                (type == NPY_FLOAT64) ? resample<agg::gray64> :
-                nullptr) : (
-            // ndim == 3
-                (type == NPY_UINT8) ? resample<agg::rgba8> :
-                (type == NPY_INT8) ? resample<agg::rgba8> :
-                (type == NPY_UINT16) ? resample<agg::rgba16> :
-                (type == NPY_INT16) ? resample<agg::rgba16> :
-                (type == NPY_FLOAT32) ? resample<agg::rgba32> :
-                (type == NPY_FLOAT64) ? resample<agg::rgba64> :
-                nullptr)) {
-        Py_BEGIN_ALLOW_THREADS
-        resampler(
-            PyArray_DATA(input), PyArray_DIM(input, 1), PyArray_DIM(input, 0),
-            PyArray_DATA(output), PyArray_DIM(output, 1), PyArray_DIM(output, 0),
-            params);
-        Py_END_ALLOW_THREADS
-    } else {
-        PyErr_SetString(
-            PyExc_ValueError,
-            "arrays must be of dtype byte, short, float32 or float64");
-        goto error;
-    }
-
-    Py_DECREF(input);
-    Py_XDECREF(transform_mesh);
-    Py_RETURN_NONE;
-
- error:
-    Py_XDECREF(input);
-    Py_XDECREF(transform_mesh);
-    return NULL;
-}
-
-static PyMethodDef module_functions[] = {
-    {"resample", (PyCFunction)image_resample, METH_VARARGS|METH_KEYWORDS, image_resample__doc__},
-    {NULL}
-};
-
-static struct PyModuleDef moduledef = {
-    PyModuleDef_HEAD_INIT, "_image", NULL, 0, module_functions,
-};
-
-PyMODINIT_FUNC PyInit__image(void)
-{
-    PyObject *m;
-
-    import_array();
-
-    m = PyModule_Create(&moduledef);
-
-    if (m == NULL) {
-        return NULL;
-    }
-
-    if (PyModule_AddIntConstant(m, "NEAREST", NEAREST) ||
-        PyModule_AddIntConstant(m, "BILINEAR", BILINEAR) ||
-        PyModule_AddIntConstant(m, "BICUBIC", BICUBIC) ||
-        PyModule_AddIntConstant(m, "SPLINE16", SPLINE16) ||
-        PyModule_AddIntConstant(m, "SPLINE36", SPLINE36) ||
-        PyModule_AddIntConstant(m, "HANNING", HANNING) ||
-        PyModule_AddIntConstant(m, "HAMMING", HAMMING) ||
-        PyModule_AddIntConstant(m, "HERMITE", HERMITE) ||
-        PyModule_AddIntConstant(m, "KAISER", KAISER) ||
-        PyModule_AddIntConstant(m, "QUADRIC", QUADRIC) ||
-        PyModule_AddIntConstant(m, "CATROM", CATROM) ||
-        PyModule_AddIntConstant(m, "GAUSSIAN", GAUSSIAN) ||
-        PyModule_AddIntConstant(m, "BESSEL", BESSEL) ||
-        PyModule_AddIntConstant(m, "MITCHELL", MITCHELL) ||
-        PyModule_AddIntConstant(m, "SINC", SINC) ||
-        PyModule_AddIntConstant(m, "LANCZOS", LANCZOS) ||
-        PyModule_AddIntConstant(m, "BLACKMAN", BLACKMAN) ||
-        PyModule_AddIntConstant(m, "_n_interpolation", _n_interpolation)) {
-        Py_DECREF(m);
-        return NULL;
-    }
-
-    return m;
-}