xref: /libCEED/python/tests/test-2-elemrestriction.py (revision d4cc18453651bd0f94c1a2e078b2646a92dafdcc)

# Copyright (c) 2017-2026, Lawrence Livermore National Security, LLC and other CEED contributors
# All Rights Reserved. See the top-level LICENSE and NOTICE files for details.
#
# SPDX-License-Identifier: BSD-2-Clause
#
# This file is part of CEED:  http://github.com/ceed

# @file
# Test Ceed ElemRestriction functionality

import os
import libceed
import numpy as np
import check

# -------------------------------------------------------------------------------
# Test creation, use, and destruction of an element restriction
# -------------------------------------------------------------------------------


def test_200(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    x = ceed.Vector(num_elem + 1)
    a = np.arange(10, 10 + num_elem + 1, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.USE_POINTER)

    ind = np.zeros(2 * num_elem, dtype="int32")
    for i in range(num_elem):
        ind[2 * i + 0] = i
        ind[2 * i + 1] = i + 1
    r = ceed.ElemRestriction(num_elem, 2, 1, 1, num_elem + 1, ind,
                             cmode=libceed.USE_POINTER)

    y = ceed.Vector(2 * num_elem)
    y.set_value(0)

    r.apply(x, y)

    with y.array_read() as y_array:
        for i in range(2 * num_elem):
            assert 10 + (i + 1) // 2 == y_array[i]

# -------------------------------------------------------------------------------
# Test creation, use, and destruction of a strided element restriction
# -------------------------------------------------------------------------------


def test_201(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    x = ceed.Vector(2 * num_elem)
    a = np.arange(10, 10 + 2 * num_elem, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.USE_POINTER)

    strides = np.array([1, 2, 2], dtype="int32")
    r = ceed.StridedElemRestriction(num_elem, 2, 1, 2 * num_elem, strides)

    y = ceed.Vector(2 * num_elem)
    y.set_value(0)

    r.apply(x, y)

    with y.array_read() as y_array:
        for i in range(2 * num_elem):
            assert 10 + i == y_array[i]

# -------------------------------------------------------------------------------
# Test creation and destruction of a blocked element restriction
# -------------------------------------------------------------------------------


def test_202(ceed_resource, capsys):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 8
    elem_size = 2
    num_blk = 2
    blk_size = 5

    x = ceed.Vector(num_elem + 1)
    a = np.arange(10, 10 + num_elem + 1, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.COPY_VALUES)

    ind = np.zeros(2 * num_elem, dtype="int32")
    for i in range(num_elem):
        ind[2 * i + 0] = i
        ind[2 * i + 1] = i + 1
    r = ceed.BlockedElemRestriction(num_elem, elem_size, blk_size, 1, 1,
                                    num_elem + 1, ind, cmode=libceed.COPY_VALUES)

    y = ceed.Vector(num_blk * blk_size * elem_size)
    y.set_value(0)

    # NoTranspose
    r.apply(x, y)
    layout = r.get_e_layout()
    with y.array_read() as y_array:
        for i in range(elem_size):
            for j in range(1):
                for k in range(num_elem):
                    block = int(k / blk_size)
                    elem = k % blk_size
                    indx = (i * blk_size + elem) * \
                        layout[0] + j * blk_size * layout[1] + \
                        block * blk_size * layout[2]
                assert y_array[indx] == a[ind[k * elem_size + i]]

    x.set_value(0)
    r.T.apply(y, x)
    with x.array_read() as x_array:
        for i in range(num_elem + 1):
            assert x_array[i] == (10 + i) * (2.0 if i >
                                             0 and i < num_elem else 1.0)

# -------------------------------------------------------------------------------
# Test creation, use, and destruction of a blocked element restriction
# -------------------------------------------------------------------------------


def test_208(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 8
    elem_size = 2
    num_blk = 2
    blk_size = 5

    x = ceed.Vector(num_elem + 1)
    a = np.arange(10, 10 + num_elem + 1, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.COPY_VALUES)

    ind = np.zeros(2 * num_elem, dtype="int32")
    for i in range(num_elem):
        ind[2 * i + 0] = i
        ind[2 * i + 1] = i + 1
    r = ceed.BlockedElemRestriction(num_elem, elem_size, blk_size, 1, 1,
                                    num_elem + 1, ind, cmode=libceed.COPY_VALUES)

    y = ceed.Vector(blk_size * elem_size)
    y.set_value(0)

    # NoTranspose
    r.apply_block(1, x, y)
    layout = r.get_e_layout()
    with y.array_read() as y_array:
        for i in range(elem_size):
            for j in range(1):
                for k in range(blk_size, num_elem):
                    block = int(k / blk_size)
                    elem = k % blk_size
                    indx = (i * blk_size + elem) * layout[0] + j * blk_size * \
                        layout[1] + block * blk_size * \
                        layout[2] - blk_size * elem_size
                assert y_array[indx] == a[ind[k * elem_size + i]]

    x.set_value(0)
    r.T.apply_block(1, y, x)
    with x.array_read() as x_array:
        for i in range(blk_size, num_elem + 1):
            assert x_array[i] == (10 + i) * (2.0 if i >
                                             blk_size and i < num_elem else 1.0)

# -------------------------------------------------------------------------------
# Test getting the multiplicity of the indices in an element restriction
# -------------------------------------------------------------------------------


def test_209(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    ind = np.zeros(4 * num_elem, dtype="int32")
    for i in range(num_elem):
        ind[4 * i + 0] = i * 3 + 0
        ind[4 * i + 1] = i * 3 + 1
        ind[4 * i + 2] = i * 3 + 2
        ind[4 * i + 3] = i * 3 + 3
    r = ceed.ElemRestriction(num_elem, 4, 1, 1, 3 * num_elem + 1, ind,
                             cmode=libceed.USE_POINTER)

    mult = r.get_multiplicity()

    with mult.array_read() as mult_array:
        for i in range(3 * num_elem + 1):
            val = 1 + (1 if (i > 0 and i < 3 * num_elem and i % 3 == 0) else 0)
            assert val == mult_array[i]

# -------------------------------------------------------------------------------
# Test creation and view of an element restriction
# -------------------------------------------------------------------------------


def test_210(ceed_resource, capsys):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    ind = np.zeros(2 * num_elem, dtype="int32")
    for i in range(num_elem):
        ind[2 * i + 0] = i + 0
        ind[2 * i + 1] = i + 1
    r = ceed.ElemRestriction(num_elem, 2, 1, 1, num_elem + 1, ind,
                             cmode=libceed.USE_POINTER)

    print(r)

    stdout, stderr, ref_stdout = check.output(capsys)
    assert not stderr
    assert stdout == ref_stdout

# -------------------------------------------------------------------------------
# Test creation and view of a strided element restriction
# -------------------------------------------------------------------------------


def test_211(ceed_resource, capsys):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    strides = np.array([1, 2, 2], dtype="int32")
    r = ceed.StridedElemRestriction(num_elem, 2, 1, num_elem * 2, strides)

    print(r)

    stdout, stderr, ref_stdout = check.output(capsys)
    assert not stderr
    assert stdout == ref_stdout

# -------------------------------------------------------------------------------
# Test creation and view of a blocked strided element restriction
# -------------------------------------------------------------------------------


def test_212(ceed_resource, capsys):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    strides = np.array([1, 2, 2], dtype="int32")
    r = ceed.BlockedStridedElemRestriction(
        num_elem, 2, 2, 1, num_elem * 2, strides)

    print(r)

    stdout, stderr, ref_stdout = check.output(capsys)
    assert not stderr
    assert stdout == ref_stdout

# -------------------------------------------------------------------------------
# Test creation, use, and destruction of an oriented element restriction
# -------------------------------------------------------------------------------


def test_213(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    x = ceed.Vector(num_elem + 1)
    a = np.arange(10, 10 + num_elem + 1, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.USE_POINTER)

    ind = np.zeros(2 * num_elem, dtype="int32")
    orients = np.zeros(2 * num_elem, dtype="bool")
    for i in range(num_elem):
        ind[2 * i + 0] = i
        ind[2 * i + 1] = i + 1
        # flip the dofs on element 1, 3, ...
        orients[2 * i + 0] = (i % 2) > 0
        orients[2 * i + 1] = (i % 2) > 0
    r = ceed.OrientedElemRestriction(
        num_elem,
        2,
        1,
        1,
        num_elem + 1,
        ind,
        orients,
        cmode=libceed.USE_POINTER)

    y = ceed.Vector(2 * num_elem)
    y.set_value(0)

    r.apply(x, y)

    with y.array_read() as y_array:
        for i in range(num_elem):
            for j in range(2):
                k = j + 2 * i
                assert 10 + (k + 1) // 2 == y_array[k] * pow(-1, i % 2)

# -------------------------------------------------------------------------------
# Test creation, use, and destruction of a curl-oriented element restriction
# -------------------------------------------------------------------------------


def test_214(ceed_resource):
    ceed = libceed.Ceed(ceed_resource)

    num_elem = 3

    x = ceed.Vector(num_elem + 1)
    a = np.arange(10, 10 + num_elem + 1, dtype=ceed.scalar_type())
    x.set_array(a, cmode=libceed.USE_POINTER)

    ind = np.zeros(2 * num_elem, dtype="int32")
    curl_orients = np.zeros(3 * 2 * num_elem, dtype="int8")
    for i in range(num_elem):
        ind[2 * i + 0] = i
        ind[2 * i + 1] = i + 1
        curl_orients[3 * 2 * i] = curl_orients[3 * 2 * (i + 1) - 1] = 0
        if i % 2 > 0:
            # T = [0  -1]
            #     [-1  0]
            curl_orients[3 * 2 * i + 1] = 0
            curl_orients[3 * 2 * i + 2] = -1
            curl_orients[3 * 2 * i + 3] = -1
            curl_orients[3 * 2 * i + 4] = 0
        else:
            # T = I
            curl_orients[3 * 2 * i + 1] = 1
            curl_orients[3 * 2 * i + 2] = 0
            curl_orients[3 * 2 * i + 3] = 0
            curl_orients[3 * 2 * i + 4] = 1
    r = ceed.CurlOrientedElemRestriction(
        num_elem,
        2,
        1,
        1,
        num_elem + 1,
        ind,
        curl_orients,
        cmode=libceed.USE_POINTER)

    y = ceed.Vector(2 * num_elem)
    y.set_value(0)

    r.apply(x, y)

    with y.array_read() as y_array:
        for i in range(num_elem):
            for j in range(2):
                k = j + 2 * i
                if i % 2 > 0:
                    assert j != 0 or 10 + i + 1 == -y_array[k]
                    assert j != 1 or 10 + i == -y_array[k]
                else:
                    assert 10 + (k + 1) // 2 == y_array[k]

# -------------------------------------------------------------------------------