pyopencl-2022.2.4.dist-info/METADATA,sha256=e2f97a48b46c4903aced8663fee10dca4292fb33e81c616e88a120795b516888,4498
pyopencl-2022.2.4.dist-info/RECORD,,
pyopencl-2022.2.4.dist-info/WHEEL,sha256=e31ac40cf73a2c95f3cee00bb866a3efd883bf59cc39686722acef1f6686977a,133
pyopencl-2022.2.4.dist-info/top_level.txt,sha256=5cf50188c42ff81c0347a0fa743a06e6edc73b360c94a887ab4ac159d00c7a05,9
pyopencl/__init__.py,sha256=c8b61497a8e31aff68c1f71406551c8d19b3d80051156cdd282806a8db5614f2,79897
pyopencl/_cl.cpython-310-aarch64-linux-gnu.so,sha256=a4421c1e11714139155555335d957b62ba76fbd61b34073f1b5faf6904e25c1c,23913296
pyopencl/_cl.cpython-311-aarch64-linux-gnu.so,sha256=f1b76b4c4dfca78939e8711bca9231e4194f78d831c741208d62b0ff993a11f4,23938760
pyopencl/_cluda.py,sha256=28a5318b30f589012e67f4e698564d27c21d5daf31f2e4fd1e00749e602560bc,2074
pyopencl/_mymako.py,sha256=028ba23a098079db52935b5a0f24017a68ecbc3064a9f031f78fd2a1b27d2542,592
pyopencl/algorithm.py,sha256=acde343d161f470d03e6a114e1ba598cf64bbd30d342cea181ad2b697fc3eeb8,51085
pyopencl/array.py,sha256=6afb2c4cade9bd45b186f0c98b76dc76c0100cef8840ab1da5fa44ec447830b6,107960
pyopencl/bitonic_sort.py,sha256=1c14defa6a1705f939fc0a12ab714ab96135610d16b83a151ca0f94fd4fb8dcb,7875
pyopencl/bitonic_sort_templates.py,sha256=9bb11d5c850a52ce32eed3ef25d20f7dacc14afd76889091ec8dc9f8131c5dda,16107
pyopencl/cache.py,sha256=324efee455966130d0be447839b2137ff1a712efa20a83ea5b6229cdc966ec76,15669
pyopencl/capture_call.py,sha256=eb538eb4bfff609e5092aecfe6a8dbcdd65538efd844f8f04ecfe22c73100d27,5660
pyopencl/characterize/__init__.py,sha256=2bfcf08620289c97ea74c517a8662f38b7eeedd7ca8e75b328796a9f9b22acf1,13696
pyopencl/characterize/performance.py,sha256=2890e6f35ebc7283753fd4e0893e3dd00c59a8c79f7fcde4847272f25506482a,6909
pyopencl/cl/pyopencl-airy.cl,sha256=4ba4bce015fabfa13d66e181ee675b17281463df4168c6a7ad631fe3b32cecd0,8122
pyopencl/cl/pyopencl-bessel-j-complex.cl,sha256=a3ed7bc8aff0045a9188681360783dc1aa284c42add520a882e3146e0d8b381d,6026
pyopencl/cl/pyopencl-bessel-j.cl,sha256=ebd7795a8a9a8d84ae6cb800e8e570630d323871adeb8cd8f7b27c8ac9ec4205,23274
pyopencl/cl/pyopencl-bessel-y.cl,sha256=543cbc978955c4ef1570947f99a786bbf4239f0dbb8f6f3307085a4ca0e10418,12297
pyopencl/cl/pyopencl-complex.h,sha256=3d230dc1c8a203668a28d718aa156de39275f75536dc157c1ffe9f0dbb96eac5,7932
pyopencl/cl/pyopencl-eval-tbl.cl,sha256=60d8bf872784e06b43c33c7798b38c4481e1f6338ecccc12bfe17617594c7af8,2616
pyopencl/cl/pyopencl-hankel-complex.cl,sha256=2529b7f0be9c39d9c3b2c56acca08d82332b20b4f9131918031cfb8bcad006d0,31561
pyopencl/cl/pyopencl-random123/array.h,sha256=9c8574cc3598bb26e574d82db21efd89c36d0d71d8743b12a4569622f0d3cb0e,17088
pyopencl/cl/pyopencl-random123/openclfeatures.h,sha256=a403db97b264420271ba54ae1867afa5a238dcfecfc221f6998c6d35f1eae7d3,2881
pyopencl/cl/pyopencl-random123/philox.cl,sha256=bd87101fb570d77437aa45b9361cb51d35036d62c62a896813560fd155a4eaf5,21740
pyopencl/cl/pyopencl-random123/threefry.cl,sha256=d969901b1c7980f4afdb650bf7f3255efd1e32e83dd64ddb0bee7fc90e309672,54699
pyopencl/cl/pyopencl-ranluxcl.cl,sha256=d210f13cff29484039935fe4a8b608cdd0fb4fef82570f68012a64a4ed720308,38528
pyopencl/clmath.py,sha256=37243022ed067b1ad4623d3a673038eb840f3a4b2bf2858b6a4371d12fbd08ec,8199
pyopencl/clrandom.py,sha256=8de3f71f0303427a997eaa2a75f0cf10771a03f771c5851add5e90ad7d8302f9,25555
pyopencl/cltypes.py,sha256=c7f728292e7f2c0737d5b13caecf6fad7a8e901ee27d3f836050208676e31776,4705
pyopencl/compyte/__init__.py,sha256=e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855,0
pyopencl/compyte/array.py,sha256=f094d809de9843fed2d4387160ead6f2a10c126451de8d9aa1b99d1c4b4f3156,7574
pyopencl/compyte/dtypes.py,sha256=e26b820089a5c9e80f7515875bb89f98755e6f3161eb01d7b083f83e20fe9f37,9809
pyopencl/compyte/ndarray/__init__.py,sha256=e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855,0
pyopencl/compyte/ndarray/gen_elemwise.py,sha256=1eb1d24b6fd8fb0f72ee470e35f33c5fe085f1dcfc7d5466a2d44802553b000f,76836
pyopencl/compyte/ndarray/gen_reduction.py,sha256=12c42bd1f0c55cc97424546a1ed7bd92d44e45f03c27e61256926d6f1d0c896f,56332
pyopencl/compyte/ndarray/setup_opencl.py,sha256=86d6b87f0b04c64e3d77ad2e537cfb783a835e024d2f77060846b45ac20f5526,3808
pyopencl/compyte/ndarray/test_gpu_elemwise.py,sha256=48c421ed29e66f2ad8b2367a0277692d1573869702e9c690bf1d78519e484131,18436
pyopencl/compyte/ndarray/test_gpu_ndarray.py,sha256=42652a8fb9d7899a45656068041656f4359f48a39ca05a853cee0583cb56c650,17782
pyopencl/elementwise.py,sha256=7df3721cb3a9f07717c41fa4496e578eb7d0ebd1c66bc875541b45e7a96d5df4,38014
pyopencl/invoker.py,sha256=9ec3496db248b90e6ee85c8587aef61905e76c2d446c5fdf91ae89aec287806e,13608
pyopencl/ipython_ext.py,sha256=c2d627960cf1cf10221fcfd9fd1c71a9ed13a06e5e148a54aeda25b9e46d1610,1916
pyopencl/reduction.py,sha256=a39585d1c1764bc67186474d54a1f55d4924fe81385b3286f71c1ef6bfefcd11,22312
pyopencl/scan.py,sha256=c5779b6ee7cbee898f46791e397d710ceaf17b0c64f5df004f4be1865cc5cabb,62698
pyopencl/tools.py,sha256=2c17d002eb06e3825068d18bebd47474409bb5c06adc493dedd03b394fd84f4e,44428
pyopencl/version.py,sha256=01ffd3e902bdfe0bd6fc412cb9b343e053694d2d86a56757c3f4d59e338d276d,109
