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    __copyright__ = "Copyright (C) 2009 Andreas Kloeckner"
    
    __license__ = """
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in
    all copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
    THE SOFTWARE.
    """
    
    
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    import numpy as np
    
    import numpy.linalg as la
    
    
    import pyopencl as cl
    import pyopencl.array as cl_array
    
    from pyopencl.tools import (  # noqa
            pytest_generate_tests_for_pyopencl as pytest_generate_tests)
    
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    # Are CL implementations crashy? You be the judge. :)
    try:
        import faulthandler  # noqa
    except ImportError:
        pass
    else:
        faulthandler.enable()
    
    def _skip_if_pocl(plat, msg='unsupported by pocl'):
        if plat.vendor == "The pocl project":
            import pytest
            pytest.skip(msg)
    
    def test_get_info(ctx_factory):
        ctx = ctx_factory()
        device, = ctx.devices
        platform = device.platform
    
    
        failure_count = [0]
    
        pocl_quirks = [
    
            (cl.Program, cl.program_info.BINARIES),
            (cl.Program, cl.program_info.BINARY_SIZES),
    
        ]
        if ctx._get_cl_version() >= (1, 2) and cl.get_cl_header_version() >= (1, 2):
            pocl_quirks.extend([
    
                (cl.Program, cl.program_info.KERNEL_NAMES),
                (cl.Program, cl.program_info.NUM_KERNELS),
    
        CRASH_QUIRKS = [
                (("NVIDIA Corporation", "NVIDIA CUDA",
                    "OpenCL 1.0 CUDA 3.0.1"),
                    [
    
                        (cl.Event, cl.event_info.COMMAND_QUEUE),
                        ]),
    
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.8-pre"),
    
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.8"),
    
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.9-pre"),
    
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.9"),
                    pocl_quirks),
    
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.10-pre"),
                    pocl_quirks),
                (("The pocl project", "Portable Computing Language",
                    "OpenCL 1.2 pocl 0.10"),
                    pocl_quirks),
    
                (("Apple", "Apple",
                    "OpenCL 1.2 (Apr 25 2013 18:32:06)"),
                    [
                        (cl.Program, cl.program_info.SOURCE),
                        ]),
    
        plat_quirk_key = (
                platform.vendor,
                platform.name,
                platform.version)
    
        def find_quirk(quirk_list, cl_obj, info):
            for entry_plat_key, quirks in quirk_list:
                if entry_plat_key == plat_quirk_key:
                    for quirk_cls, quirk_info in quirks:
                        if (isinstance(cl_obj, quirk_cls)
                                and quirk_info == info):
                            return True
    
        def do_test(cl_obj, info_cls, func=None, try_attr_form=True):
            if func is None:
                def func(info):
                    cl_obj.get_info(info)
    
            for info_name in dir(info_cls):
                if not info_name.startswith("_") and info_name != "to_string":
    
                    print(info_cls, info_name)
    
                    info = getattr(info_cls, info_name)
    
                    if find_quirk(CRASH_QUIRKS, cl_obj, info):
                        print("not executing get_info", type(cl_obj), info_name)
                        print("(known crash quirk for %s)" % platform.name)
                        continue
    
                    try:
                        func(info)
                    except:
                        msg = "failed get_info", type(cl_obj), info_name
    
                        if find_quirk(QUIRKS, cl_obj, info):
                            msg += ("(known quirk for %s)" % platform.name)
                        else:
                            failure_count[0] += 1
    
                    if try_attr_form:
    
                            getattr(cl_obj, info_name.lower())
    
                            print("failed attr-based get_info", type(cl_obj), info_name)
    
    
                            if find_quirk(QUIRKS, cl_obj, info):
    
                                print("(known quirk for %s)" % platform.name)
    
        do_test(platform, cl.platform_info)
        do_test(device, cl.device_info)
        do_test(ctx, cl.context_info)
    
        props = 0
        if (device.queue_properties
                & cl.command_queue_properties.PROFILING_ENABLE):
            profiling = True
            props = cl.command_queue_properties.PROFILING_ENABLE
        queue = cl.CommandQueue(ctx,
                properties=props)
        do_test(queue, cl.command_queue_info)
    
        prg = cl.Program(ctx, """
            __kernel void sum(__global float *a)
            { a[get_global_id(0)] *= 2; }
            """).build()
        do_test(prg, cl.program_info)
        do_test(prg, cl.program_build_info,
                lambda info: prg.get_build_info(device, info),
                try_attr_form=False)
    
        n = 2000
        a_buf = cl.Buffer(ctx, 0, n*4)
    
        do_test(a_buf, cl.mem_info)
    
        kernel = prg.sum
        do_test(kernel, cl.kernel_info)
    
        evt = kernel(queue, (n,), None, a_buf)
        do_test(evt, cl.event_info)
    
        if profiling:
            evt.wait()
            do_test(evt, cl.profiling_info,
                    lambda info: evt.get_profiling_info(info),
    
                    try_attr_form=False)
    
    
        # crashes on intel...
    
        # and pocl does not support CL_ADDRESS_CLAMP
    
        if device.image_support and platform.vendor not in [
                "Intel(R) Corporation",
                "The pocl project",
                ]:
            smp = cl.Sampler(ctx, False,
    
                    cl.addressing_mode.CLAMP,
                    cl.filter_mode.NEAREST)
            do_test(smp, cl.sampler_info)
    
            img_format = cl.get_supported_image_formats(
                    ctx, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)[0]
    
            img = cl.Image(ctx, cl.mem_flags.READ_ONLY, img_format, (128, 256))
            assert img.shape == (128, 256)
    
            img.depth
            img.image.depth
            do_test(img, cl.image_info,
                    lambda info: img.get_image_info(info))
    
    
    def test_int_ptr(ctx_factory):
        def do_test(obj):
            new_obj = type(obj).from_int_ptr(obj.int_ptr)
            assert obj == new_obj
            assert type(obj) is type(new_obj)
    
        ctx = ctx_factory()
        device, = ctx.devices
        platform = device.platform
        do_test(device)
        do_test(platform)
        do_test(ctx)
    
        queue = cl.CommandQueue(ctx)
        do_test(queue)
    
        evt = cl.enqueue_marker(queue)
        do_test(evt)
    
        prg = cl.Program(ctx, """
            __kernel void sum(__global float *a)
            { a[get_global_id(0)] *= 2; }
            """).build()
    
        do_test(prg)
        do_test(prg.sum)
    
        n = 2000
        a_buf = cl.Buffer(ctx, 0, n*4)
        do_test(a_buf)
    
        # crashes on intel...
    
        # and pocl does not support CL_ADDRESS_CLAMP
    
        if device.image_support and platform.vendor not in [
                "Intel(R) Corporation",
                "The pocl project",
                ]:
            smp = cl.Sampler(ctx, False,
                    cl.addressing_mode.CLAMP,
                    cl.filter_mode.NEAREST)
            do_test(smp)
    
            img_format = cl.get_supported_image_formats(
                    ctx, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)[0]
    
            img = cl.Image(ctx, cl.mem_flags.READ_ONLY, img_format, (128, 256))
            do_test(img)
    
    
    
    def test_invalid_kernel_names_cause_failures(ctx_factory):
        ctx = ctx_factory()
        device = ctx.devices[0]
    
        prg = cl.Program(ctx, """
            __kernel void sum(__global float *a)
            { a[get_global_id(0)] *= 2; }
            """).build()
    
    
        # https://bugs.launchpad.net/pocl/+bug/1184464
        _skip_if_pocl(device.platform, "pocl doesn't like invalid kernel names")
    
        try:
            prg.sam
            raise RuntimeError("invalid kernel name did not cause error")
        except AttributeError:
            pass
        except RuntimeError:
            if "Intel" in device.platform.vendor:
                from pytest import xfail
                xfail("weird exception from OpenCL implementation "
                        "on invalid kernel name--are you using "
                        "Intel's implementation? (if so, known bug in Intel CL)")
    
    def test_image_format_constructor():
        # doesn't need image support to succeed
        iform = cl.ImageFormat(cl.channel_order.RGBA, cl.channel_type.FLOAT)
    
        assert iform.channel_order == cl.channel_order.RGBA
        assert iform.channel_data_type == cl.channel_type.FLOAT
        assert not iform.__dict__
    
    def test_nonempty_supported_image_formats(ctx_factory):
    
        context = ctx_factory()
    
        device = context.devices[0]
    
    
        if device.image_support:
            assert len(cl.get_supported_image_formats(
                    context, cl.mem_flags.READ_ONLY, cl.mem_object_type.IMAGE2D)) > 0
        else:
    
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            from pytest import skip
    
            skip("images not supported on %s" % device.name)
    
    def test_that_python_args_fail(ctx_factory):
        context = ctx_factory()
    
        prg = cl.Program(context, """
            __kernel void mult(__global float *a, float b, int c)
            { a[get_global_id(0)] *= (b+c); }
            """).build()
    
        a = np.random.rand(50000)
        queue = cl.CommandQueue(context)
        mf = cl.mem_flags
        a_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=a)
    
        knl = cl.Kernel(prg, "mult")
        try:
            knl(queue, a.shape, None, a_buf, 2, 3)
            assert False, "PyOpenCL should not accept bare Python types as arguments"
        except cl.LogicError:
            pass
    
        try:
            prg.mult(queue, a.shape, None, a_buf, float(2), 3)
            assert False, "PyOpenCL should not accept bare Python types as arguments"
        except cl.LogicError:
            pass
    
        prg.mult(queue, a.shape, None, a_buf, np.float32(2), np.int32(3))
    
        a_result = np.empty_like(a)
        cl.enqueue_read_buffer(queue, a_buf, a_result).wait()
    
    def test_image_2d(ctx_factory):
        context = ctx_factory()
    
        device, = context.devices
    
        if not device.image_support:
    
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            from pytest import skip
    
            skip("images not supported on %s" % device)
    
        if "Intel" in device.vendor and "31360.31426" in device.version:
    
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            from pytest import skip
    
            skip("images crashy on %s" % device)
    
        _skip_if_pocl(device.platform, 'pocl does not support CL_ADDRESS_CLAMP')
    
        prg = cl.Program(context, """
            __kernel void copy_image(
              __global float *dest,
              __read_only image2d_t src,
              sampler_t samp,
              int stride0)
            {
              int d0 = get_global_id(0);
              int d1 = get_global_id(1);
              /*
              const sampler_t samp =
                CLK_NORMALIZED_COORDS_FALSE
                | CLK_ADDRESS_CLAMP
                | CLK_FILTER_NEAREST;
                */
              dest[d0*stride0 + d1] = read_imagef(src, samp, (float2)(d1, d0)).x;
            }
            """).build()
    
        num_channels = 1
        a = np.random.rand(1024, 512, num_channels).astype(np.float32)
        if num_channels == 1:
    
    
        queue = cl.CommandQueue(context)
        try:
            a_img = cl.image_from_array(context, a, num_channels)
        except cl.RuntimeError:
            import sys
            exc = sys.exc_info()[1]
            if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
    
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                from pytest import skip
    
                skip("required image format not supported on %s" % device.name)
            else:
                raise
    
        a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes)
    
        samp = cl.Sampler(context, False,
                cl.addressing_mode.CLAMP,
                cl.filter_mode.NEAREST)
        prg.copy_image(queue, a.shape, None, a_dest, a_img, samp,
                np.int32(a.strides[0]/a.dtype.itemsize))
    
        a_result = np.empty_like(a)
        cl.enqueue_copy(queue, a_result, a_dest)
    
        good = la.norm(a_result - a) == 0
        if not good:
    
            if queue.device.type & cl.device_type.CPU:
    
                assert good, ("The image implementation on your CPU CL platform '%s' "
    
                        "returned bad values. This is bad, but common."
                        % queue.device.platform)
    
    def test_image_3d(ctx_factory):
        #test for image_from_array for 3d image of float2
        context = ctx_factory()
    
        device, = context.devices
    
        if not device.image_support:
    
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            from pytest import skip
    
            skip("images not supported on %s" % device)
    
        if device.platform.vendor == "Intel(R) Corporation":
    
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            from pytest import skip
    
            skip("images crashy on %s" % device)
    
        _skip_if_pocl(device.platform, 'pocl does not support CL_ADDRESS_CLAMP')
    
    
        prg = cl.Program(context, """
            __kernel void copy_image_plane(
              __global float2 *dest,
              __read_only image3d_t src,
              sampler_t samp,
              int stride0,
              int stride1)
            {
              int d0 = get_global_id(0);
              int d1 = get_global_id(1);
              int d2 = get_global_id(2);
              /*
              const sampler_t samp =
                CLK_NORMALIZED_COORDS_FALSE
                | CLK_ADDRESS_CLAMP
                | CLK_FILTER_NEAREST;
                */
    
              dest[d0*stride0 + d1*stride1 + d2] = read_imagef(
                    src, samp, (float4)(d2, d1, d0, 0)).xy;
    
        num_channels = 2
    
        shape = (3, 4, 2)
        a = np.random.random(shape + (num_channels,)).astype(np.float32)
    
        queue = cl.CommandQueue(context)
        try:
            a_img = cl.image_from_array(context, a, num_channels)
        except cl.RuntimeError:
            import sys
            exc = sys.exc_info()[1]
            if exc.code == cl.status_code.IMAGE_FORMAT_NOT_SUPPORTED:
    
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                from pytest import skip
    
                skip("required image format not supported on %s" % device.name)
            else:
                raise
    
        a_dest = cl.Buffer(context, cl.mem_flags.READ_WRITE, a.nbytes)
    
        samp = cl.Sampler(context, False,
                cl.addressing_mode.CLAMP,
                cl.filter_mode.NEAREST)
        prg.copy_image_plane(queue, shape, None, a_dest, a_img, samp,
                             np.int32(a.strides[0]/a.itemsize/num_channels),
                             np.int32(a.strides[1]/a.itemsize/num_channels),
                             )
    
        a_result = np.empty_like(a)
        cl.enqueue_copy(queue, a_result, a_dest)
    
        good = la.norm(a_result - a) == 0
        if not good:
    
            if queue.device.type & cl.device_type.CPU:
    
                assert good, ("The image implementation on your CPU CL platform '%s' "
    
                        "returned bad values. This is bad, but common."
                        % queue.device.platform)
    
    def test_copy_buffer(ctx_factory):
        context = ctx_factory()
    
        queue = cl.CommandQueue(context)
        mf = cl.mem_flags
    
        a = np.random.rand(50000).astype(np.float32)
        b = np.empty_like(a)
    
        buf1 = cl.Buffer(context, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a)
        buf2 = cl.Buffer(context, mf.WRITE_ONLY, b.nbytes)
    
        cl.enqueue_copy_buffer(queue, buf1, buf2).wait()
        cl.enqueue_read_buffer(queue, buf2, b).wait()
    
        assert la.norm(a - b) == 0
    
    def test_mempool(ctx_factory):
    
        from pyopencl.tools import MemoryPool, ImmediateAllocator
    
        context = ctx_factory()
    
        queue = cl.CommandQueue(context)
    
        pool = MemoryPool(ImmediateAllocator(queue))
        alloc_queue = []
    
        for e in range(e0-6, e0-4):
            for i in range(100):
    
                alloc_queue.append(pool.allocate(1 << e))
                if len(alloc_queue) > 10:
                    alloc_queue.pop(0)
        del alloc_queue
    
        pool.stop_holding()
    
    def test_mempool_2():
        from pyopencl.tools import MemoryPool
        from random import randrange
    
        for i in range(2000):
    
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            s = randrange(1 << 31) >> randrange(32)
    
            bin_nr = MemoryPool.bin_number(s)
            asize = MemoryPool.alloc_size(bin_nr)
    
            assert asize >= s, s
            assert MemoryPool.bin_number(asize) == bin_nr, s
            assert asize < asize*(1+1/8)
    
    def test_vector_args(ctx_factory):
        context = ctx_factory()
        queue = cl.CommandQueue(context)
    
        prg = cl.Program(context, """
            __kernel void set_vec(float4 x, __global float4 *dest)
            { dest[get_global_id(0)] = x; }
            """).build()
    
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        x = cl_array.vec.make_float4(1, 2, 3, 4)
    
        dest = np.empty(50000, cl_array.vec.float4)
        mf = cl.mem_flags
        dest_buf = cl.Buffer(context, mf.READ_WRITE | mf.COPY_HOST_PTR, hostbuf=dest)
    
        prg.set_vec(queue, dest.shape, None, x, dest_buf)
    
        cl.enqueue_read_buffer(queue, dest_buf, dest).wait()
    
        assert (dest == x).all()
    
    def test_header_dep_handling(ctx_factory):
        context = ctx_factory()
    
        from os.path import exists
    
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        assert exists("empty-header.h")  # if this fails, change dir to pyopencl/test
    
        kernel_src = """
        #include <empty-header.h>
        kernel void zonk(global int *a)
        {
          *a = 5;
        }
        """
    
        cl.Program(context, kernel_src).build(["-I", os.getcwd()])
        cl.Program(context, kernel_src).build(["-I", os.getcwd()])
    
    def test_context_dep_memoize(ctx_factory):
        context = ctx_factory()
    
        from pyopencl.tools import context_dependent_memoize
    
        @context_dependent_memoize
        def do_something(ctx):
            counter[0] += 1
    
        do_something(context)
        do_something(context)
    
        assert counter[0] == 1
    
    
    def test_can_build_binary(ctx_factory):
        ctx = ctx_factory()
        device, = ctx.devices
    
        platform = device.platform
    
    
        _skip_if_pocl(platform, "pocl doesn't like getting PROGRAM_BINARIES")
    
    
        program = cl.Program(ctx, """
        __kernel void simple(__global float *in, __global float *out)
        {
            out[get_global_id(0)] = in[get_global_id(0)];
        }""")
        program.build()
        binary = program.get_info(cl.program_info.BINARIES)[0]
    
        foo = cl.Program(ctx, [device], [binary])
        foo.build()
    
    def test_enqueue_barrier_marker(ctx_factory):
        ctx = ctx_factory()
        _skip_if_pocl(ctx.devices[0].platform, 'pocl crashes on enqueue_barrier')
        queue = cl.CommandQueue(ctx)
        cl.enqueue_barrier(queue)
        evt1 = cl.enqueue_marker(queue)
        evt2 = cl.enqueue_marker(queue, wait_for=[evt1])
    
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        cl.enqueue_barrier(queue, wait_for=[evt1, evt2])
    
    
    
    def test_wait_for_events(ctx_factory):
        ctx = ctx_factory()
        queue = cl.CommandQueue(ctx)
        evt1 = cl.enqueue_marker(queue)
        evt2 = cl.enqueue_marker(queue)
        cl.wait_for_events([evt1, evt2])
    
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    def test_unload_compiler(ctx_factory):
        ctx = ctx_factory()
        platform = ctx.devices[0].platform
        if (ctx._get_cl_version() < (1, 2) or
    
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                cl.get_cl_header_version() < (1, 2)):
    
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            from pytest import skip
            skip("clUnloadPlatformCompiler is only available in OpenCL 1.2")
        _skip_if_pocl(platform, 'pocl does not support unloading compiler')
        if platform.vendor == "Intel(R) Corporation":
            from pytest import skip
            skip("Intel proprietary driver does not support unloading compiler")
        cl.unload_platform_compiler(platform)
    
    
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    def test_enqueue_task(ctx_factory):
        ctx = ctx_factory()
        queue = cl.CommandQueue(ctx)
        mf = cl.mem_flags
    
        prg = cl.Program(ctx, """
        __kernel void
        reverse(__global const float *in, __global float *out, int n)
        {
            for (int i = 0;i < n;i++) {
                out[i] = in[n - 1 - i];
            }
        }
        """).build()
        knl = prg.reverse
    
        n = 1000000
        a = np.random.rand(n).astype(np.float32)
        b = np.empty_like(a)
    
        buf1 = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a)
        buf2 = cl.Buffer(ctx, mf.WRITE_ONLY, b.nbytes)
    
        knl.set_args(buf1, buf2, np.int32(n))
        cl.enqueue_task(queue, knl)
    
        cl.enqueue_read_buffer(queue, buf2, b).wait()
        assert la.norm(a[::-1] - b) == 0
    
    
    if __name__ == "__main__":
        # make sure that import failures get reported, instead of skipping the tests.
    
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        import pyopencl  # noqa
    
            exec(sys.argv[1])
    
            from py.test.cmdline import main