| /dports/science/py-h5py/h5py-3.6.0/docs/whatsnew/ |
| H A D | 2.7.rst | 1 What's new in h5py 2.7
45 .. _`#662` : https://github.com/h5py/h5py/pull/662
46 .. _`#664` : https://github.com/h5py/h5py/pull/664
47 .. _`#675` : https://github.com/h5py/h5py/pull/675
48 .. _`#680` : https://github.com/h5py/h5py/pull/680
49 .. _`#683` : https://github.com/h5py/h5py/pull/683
50 .. _`#686` : https://github.com/h5py/h5py/pull/686
51 .. _`#691` : https://github.com/h5py/h5py/pull/691
52 .. _`#692` : https://github.com/h5py/h5py/pull/692
53 .. _`#693` : https://github.com/h5py/h5py/pull/693
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| H A D | 2.6.rst | 1 What's new in h5py 2.6
59 .. _`#561` : https://github.com/h5py/h5py/pull/561
60 .. _`#562` : https://github.com/h5py/h5py/pull/562
61 .. _`#563` : https://github.com/h5py/h5py/pull/563
62 .. _`#572` : https://github.com/h5py/h5py/pull/572
63 .. _`#574` : https://github.com/h5py/h5py/pull/574
64 .. _`#576` : https://github.com/h5py/h5py/pull/576
65 .. _`#578` : https://github.com/h5py/h5py/pull/578
66 .. _`#579` : https://github.com/h5py/h5py/pull/579
67 .. _`#583` : https://github.com/h5py/h5py/pull/583
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| H A D | 2.5.rst | 47 .. _`#551` : https://github.com/h5py/h5py/pull/551
48 .. _`#541` : https://github.com/h5py/h5py/pull/541
49 .. _`#505` : https://github.com/h5py/h5py/pull/505
50 .. _`#513` : https://github.com/h5py/h5py/pull/513
51 .. _`#555` : https://github.com/h5py/h5py/pull/555
52 .. _`#560` : https://github.com/h5py/h5py/pull/560
53 .. _`#508` : https://github.com/h5py/h5py/pull/508
54 .. _`#507` : https://github.com/h5py/h5py/pull/507
55 .. _`#558` : https://github.com/h5py/h5py/pull/558
56 .. _`#546` : https://github.com/h5py/h5py/pull/546
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| H A D | 3.6.rst | 1 What's new in h5py 3.6
14 (``data = dset.astype(t)[:10]``). This works from h5py 3.0 onwards.
15 * Getting the value of ``h5py.get_config().default_file_mode`` now issues a
16 deprecation warning. This has been ``'r'`` by default from h5py 3.0, and
19 Building h5py
22 * h5py now requires the ``oldest-supported-numpy`` package at build time,
31 development (see :ref:`contrib-run-tests`), and ``pytest --pyargs h5py`` can
32 be used to test h5py after installation.
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| /dports/science/py-h5py/h5py-3.6.0/h5py/tests/ |
| H A D | test_filters.py | 16 import h5py
27 self.f = h5py.File(self.path, 'w')
29 @ut.skipUnless(h5py.h5z.filter_avail(h5py.h5z.FILTER_SZIP), 'szip filter required')
68 gzip8 = h5py.filters.Gzip(level=8)
84 gzip8 = h5py.filters.Gzip(level=8)
93 if h5py.h5z.filter_avail(h5py.h5z.FILTER_LZF):
94 res = h5py.h5z.unregister_filter(h5py.h5z.FILTER_LZF)
100 assert 'gzip' in h5py.filters.decode
101 assert 'gzip' in h5py.filters.encode
102 assert 'lzf' in h5py.filters.decode
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| H A D | test_file2.py | 14 import h5py
15 from h5py._hl.files import _drivers
25 return h5py.h5f.get_obj_count(h5py.h5f.OBJ_ALL, h5py.h5f.OBJ_FILE)
28 return h5py.h5f.get_obj_count(h5py.h5f.OBJ_ALL, h5py.h5f.OBJ_GROUP)
46 f = h5py.File(fname, 'w')
112 f = h5py.File(fname, 'w')
138 f = h5py.File(fileobj, 'w')
147 f = h5py.File(fileobj, 'r')
178 f = h5py.File(fileobj, 'w')
219 f = h5py.File(bio, 'w')
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| H A D | test_dtype.py | 8 import h5py
44 vidt = h5py.vlen_dtype(np.uint8)
91 vidt = h5py.vlen_dtype(np.uint8)
114 dt1 = h5py.vlen_dtype(h5py.enum_dtype(dict(foo=1, bar=2), 'i'))
116 with h5py.File(fname, 'w') as f:
120 with h5py.File(fname, 'r') as f:
126 self.assertEqual(h5py.check_enum_dtype(h5py.check_vlen_dtype(dt1)),
127 h5py.check_enum_dtype(h5py.check_vlen_dtype(dt2)))
189 ht = h5py.h5t.py_create(dt)
320 dt = h5py.string_dtype()
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| H A D | test_h5t.py | 12 import h5py
13 from h5py import h5t
27 dt = np.dtype([('a', h5py.ref_dtype), ('b', '<f4')])
102 fid = h5py.h5f.create(test_filename)
104 space = h5py.h5s.create_simple(dims)
114 dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata)
126 dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata2)
138 dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata2)
150 dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata2)
156 dset.write(h5py.h5s.ALL, h5py.h5s.ALL, wdata2)
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| H A D | test_dimension_scales.py | 15 from h5py import File, Group, Dataset
16 import h5py
36 h5py.h5ds.set_scale(self.f['x1'].id)
39 h5py.h5ds.set_scale(self.f['x2'].id, b'x2 name')
42 h5py.h5ds.set_scale(self.f['y1'].id, b'y1 name')
46 h5py.h5ds.set_label(self.f['data'].id, 0, b'z')
47 h5py.h5ds.set_label(self.f['data'].id, 2, b'x')
62 self.assertTrue(h5py.h5ds.is_scale(self.f['x1'].id))
89 h5py.version.hdf5_version_tuple > (2, 0, 0),
99 res = h5py.h5ds.get_scale_name(dsid)
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| H A D | test_h5d_direct_chunk.py | 1 import h5py
8 @ut.skipUnless(h5py.version.hdf5_version_tuple >= (1, 8, 11), 'Direct Chunk Writing requires HDF5 >…
13 with h5py.File(filename, "w") as filehandle:
29 with h5py.File(filename, "r") as filehandle:
35 @ut.skipUnless(h5py.version.hdf5_version_tuple >= (1, 10, 2), 'Direct Chunk Reading requires HDF5 >…
36 @ut.skipIf('gzip' not in h5py.filters.encode, "DEFLATE is not installed")
41 with h5py.File(filename, "w") as filehandle:
67 with h5py.File(filename, "w") as filehandle:
80 with h5py.File(filename, "r") as filehandle:
91 with h5py.File(filename, "w") as filehandle:
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| H A D | test_file_image.py | 1 import h5py
2 from h5py import h5f, h5p
6 @ut.skipUnless(h5py.version.hdf5_version_tuple >= (1, 8, 9), 'file image operations require HDF5 >=…
16 fapl = h5p.create(h5py.h5p.FILE_ACCESS)
20 fid = h5f.open(self.mktemp().encode(), h5py.h5f.ACC_RDONLY, fapl=fapl)
21 f = h5py.File(fid)
34 f = h5py.File(fid)
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| H A D | test_dataset.py | 28 from h5py import File, Group, Dataset
30 from h5py import h5f, h5t
32 import h5py
33 import h5py._hl.selections as sel
1065 dt = h5py.string_dtype()
1132 dt = h5py.string_dtype()
1198 dt = h5py.string_dtype()
1438 sid = h5py.h5s.create(h5py.h5s.SCALAR)
1442 ref = h5py.h5r.create(ds.id, b'.', h5py.h5r.DATASET_REGION, sid)
1447 ref = h5py.h5r.create(ds.id, b'.', h5py.h5r.DATASET_REGION, sid)
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| /dports/science/py-h5py/h5py-3.6.0/ |
| H A D | README.rst | 1 .. image:: https://travis-ci.org/h5py/h5py.png
2 :target: https://travis-ci.org/h5py/h5py
4 :target: https://ci.appveyor.com/project/h5py/h5py/branch/master
5 .. image:: https://dev.azure.com/h5pyappveyor/h5py/_apis/build/status/h5py.h5py?branchName=master
16 * Main website: https://www.h5py.org
17 * Source code: https://github.com/h5py/h5py
18 * Mailing list: https://groups.google.com/d/forum/h5py
30 MPI support, can be found at: https://docs.h5py.org/en/latest/build.html.
36 Open a bug at https://github.com/h5py/h5py/issues. For general questions, ask
37 on the HDF forum (https://forum.hdfgroup.org/c/hdf-tools/h5py).
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| /dports/devel/py-distributed/distributed-2021.11.2/distributed/protocol/ |
| H A D | h5py.py | 1 import h5py
6 @dask_serialize.register(h5py.File)
13 @dask_deserialize.register(h5py.File)
15 import h5py
17 return h5py.File(header["filename"], mode="r")
20 @dask_serialize.register((h5py.Group, h5py.Dataset))
27 @dask_deserialize.register((h5py.Group, h5py.Dataset))
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| /dports/science/py-h5py/h5py-3.6.0/docs/ |
| H A D | build.rst | 19 import h5py
20 h5py.run_tests()
43 $ enpkg h5py
54 $ pip install h5py
96 $ pip install --no-binary=h5py h5py
115 h5py git repository.
188 $ pip install --no-binary=h5py h5py
196 $ HDF5_DIR=/path/to/hdf5 pip install --no-binary=h5py h5py
197 $ HDF5_VERSION=X.Y.Z pip install --no-binary=h5py h5py
229 $ pip install --no-binary=h5py h5py
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| H A D | vds.rst | 1 .. currentmodule:: h5py
7 Starting with version 2.9, h5py includes high-level support for HDF5
36 Creating virtual datasets in h5py
39 To make a virtual dataset using h5py, you need to:
62 with h5py.File("VDS.h5", 'w', libver='latest') as f:
86 - `vds_simple.py <https://github.com/h5py/h5py/blob/master/examples/vds_simple.py>`_
89 - `dataset_concatenation.py <https://github.com/h5py/h5py/blob/master/examples/dataset_concatenatio…
94 …- `excalibur_detector_modules.py <https://github.com/h5py/h5py/blob/master/examples/excalibur_dete…
95 - `dual_pco_edge.py <https://github.com/h5py/h5py/blob/master/examples/dual_pco_edge.py>`_
96 - `eiger_use_case.py <https://github.com/h5py/h5py/blob/master/examples/eiger_use_case.py>`_
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| /dports/science/py-h5py/h5py-3.6.0/examples/ |
| H A D | percival_use_case.py | 5 import h5py
8 dtype = h5py.File('raw_file_1.h5')['data'].dtype
12 layout = h5py.VirtualLayout(shape=outshape, dtype=dtype)
15 vsource1 = h5py.VirtualSource('raw_file_1.h5', 'data', shape=(200, 2000, 2000))
16 vsource2 = h5py.VirtualSource('raw_file_2.h5', 'data', shape=(200, 2000, 2000))
17 vsource3 = h5py.VirtualSource('raw_file_3.h5', 'data', shape=(200, 2000, 2000))
18 vsource4 = h5py.VirtualSource('raw_file_4.h5', 'data', shape=(199, 2000, 2000))
27 with h5py.File('full_time_series.h5', 'w', libver='latest') as f:
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| H A D | dual_pco_edge.py | 6 import h5py
8 with h5py.File('raw_file_1.h5', 'r') as f:
15 vsource1 = h5py.VirtualSource('raw_file_1.h5', 'data', shape=in_sh)
16 vsource2 = h5py.VirtualSource('raw_file_2.h5', 'data', shape=in_sh)
18 layout = h5py.VirtualLayout((in_sh[0], 2 * in_sh[1] + gap, in_sh[3]),
24 with h5py.File('outfile.h5', 'w', libver='latest') as f:
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| H A D | vds_simple.py | 8 import h5py
16 with h5py.File(f"{n}.h5", "w") as f:
20 layout = h5py.VirtualLayout(shape=(4, 100), dtype="i4")
23 vsource = h5py.VirtualSource(filename, "data", shape=(100,))
27 with h5py.File("VDS.h5", "w", libver="latest") as f:
34 with h5py.File("VDS.h5", "r") as f:
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| /dports/science/py-h5py/h5py-3.6.0/docs/high/ |
| H A D | lowlevel.rst | 4 This documentation mostly describes the h5py high-level API, which offers the
6 h5py also provides a low-level API, which more closely follows the HDF5 C API.
10 - `h5py Low-Level API Reference <https://api.h5py.org/>`_
17 corresponding low-level objects—:class:`~low:h5py.h5f.FileID`,
18 :class:`~low:h5py.h5g.GroupID` and :class:`~low:h5py.h5d.DatasetID`::
25 :class:`~low:h5py.h5a.AttrID` object::
30 - **To the high-level**: Low-level :class:`~low:h5py.h5f.FileID`,
31 :class:`~low:h5py.h5g.GroupID` and :class:`~low:h5py.h5d.DatasetID` objects
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| /dports/archivers/vbz-compression/vbz_compression-1.0.1/python/test/ |
| H A D | test_vbz_filter.py | 1 import h5py
15 with h5py.File("test_file.h5", "w") as f:
18 with h5py.File("test_file.h5", "r") as f:
22 zip_file = h5py.File(os.path.join(TEST_DATA, "multi_fast5_zip.fast5"))
30 with h5py.File("test_file.h5", "w") as f:
33 with h5py.File("test_file.h5", "r") as f:
45 h5py.File(os.path.join(TEST_DATA, "multi_fast5_zip.fast5")),
46 h5py.File(os.path.join(TEST_DATA, "multi_fast5_vbz.fast5")),
47 h5py.File(os.path.join(TEST_DATA, "multi_fast5_vbz_v1.fast5")),
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| /dports/astro/py-astropy/astropy-5.0/astropy/io/misc/ |
| H A D | hdf5.py | 32 import h5py
55 import h5py
59 return isinstance(args[0], (h5py.File, h5py.Group, h5py.Dataset))
85 import h5py
95 if isinstance(input, (h5py.File, h5py.Group)):
110 if isinstance(input, h5py.Group):
126 elif not isinstance(input, h5py.Dataset):
140 f = h5py.File(input, 'r')
247 import h5py
262 if isinstance(output, (h5py.File, h5py.Group)):
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| /dports/math/py-yt/yt-4.0.1/.github/workflows/ |
| H A D | rules-checks.yaml | 2 # as errors in all CI jobs covering h5py.
8 h5py-bad-practices:
12 - name: check-h5py-import
13 # check that we don't alias h5py to h5
18 grep -r -n "import _h5py as h5" yt | grep -v "import _h5py as h5py" | cat > h5-imports.log
20 echo "Please do not import h5py as h5. Here are the faulty lines."
25 - name: check-h5py-filemode
27 # check that a mode argument is always present in calls to h5py.File()
30 grep -E -r -n "h5py\.File\([^,]+\)" yt | cat > h5-mode.log
32 echo "h5py.File() should never be called without an explicit mode argument."
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/io/ |
| H A D | utils.py | 23 import h5py
25 h5py = None variable
38 if isinstance(data, (np.ndarray, NDArray, h5py.Dataset)
39 if h5py else (np.ndarray, NDArray)):
53 if not isinstance(v, (NDArray, h5py.Dataset) if h5py else NDArray):
79 if (isinstance(v, h5py.Dataset) if h5py else False):
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/io/ |
| H A D | utils.py | 23 import h5py
25 h5py = None variable
38 if isinstance(data, (np.ndarray, NDArray, h5py.Dataset)
39 if h5py else (np.ndarray, NDArray)):
53 if not isinstance(v, (NDArray, h5py.Dataset) if h5py else NDArray):
79 if (isinstance(v, h5py.Dataset) if h5py else False):
|