Delete h5py/H5PY_USER_GUIDE.txt

h5py/H5PY_USER_GUIDE.txt

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-================================================================================
-  H5PY - USER GUIDE (Android Python STB) - Generated by RIMI
-================================================================================
-
-h5py 3.16.0 for Android (CPython 3.12) — read and write HDF5 files from Python.
-Built from the official PyPI sdist against HDF5 1.14.6 compiled from source
-for Android API 24. Both the low-level API (h5py.h5f, h5py.h5d, ...) and the
-high-level API (File, Group, Dataset, attrs) are included, plus the bundled
-test suite (h5py.tests).
-
-WHEELS (install exactly one, matching your device ABI)
-  h5py-3.16.0-cp312-cp312-android_24_x86_64.whl    (emulators)
-  h5py-3.16.0-cp312-cp312-android_24_arm64_v8a.whl (real phones)
-Requires: numpy>=1.21.2 (use the matching NATIVE numpy 2.5.2 wheel).
-
-WHAT IS VENDORED
-  h5py/libhdf5.so + h5py/libhdf5_hl.so — the HDF5 1.14.6 runtime built from
-  source with the NDK (16 KB pages, no RELRO, stripped). h5py/__init__.py
-  preloads both by absolute path on Android before any extension module
-  loads (same pattern as the pyarrow package), so `import h5py` just works.
-  No other native dependency: zlib comes from the Android system (libz.so).
-
-QUICK START
-  import h5py
-  import numpy as np
-  print(h5py.version.version, h5py.version.hdf5_version)  # 3.16.0 1.14.6
-
-  with h5py.File("demo.h5", "w") as f:
-      g = f.create_group("sensors")
-      d = g.create_dataset("temp", data=np.arange(100, dtype="f4"))
-      g.attrs["unit"] = "celsius"
-
-  with h5py.File("demo.h5", "r") as f:
-      print(f["sensors/temp"][...].sum(), f["sensors"].attrs["unit"])
-
-  # no storage permission? use a pure in-memory file:
-  with h5py.File("m.h5", "w", driver="core", backing_store=False) as f:
-      f.create_dataset("d", data=np.arange(10))
-
-COMPRESSION / FILTERS
-  gzip (deflate) is fully supported (system zlib):
-      f.create_dataset("z", data=data, compression="gzip", compression_opts=6)
-  shuffle + fletcher32 also work. SZIP and ROS3 (S3) drivers are NOT built
-  into this package (kept dependency-free); requesting them raises a clean
-  error, everything else is unaffected.
-
-ANDROID NOTES
-  - First import preloads ~4 MB of native HDF5; on low-RAM devices allow a
-    moment on first `import h5py`.
-  - Store files under the app's own directories (e.g. the Scripts folder or
-    getFilesDir()); shared storage may need extra permissions.
-  - Threading: the high-level API serialises HDF5 calls with its own lock
-    (OBJECTS_USE_LOCKING); the C library itself is built without the
-    experimental HDF5 threadsafe mode, same as recommended upstream.
-  - h5py 3.16 needs numpy>=1.21.2 at runtime; _npystrings needs numpy>=2
-    (numpy 2.5.2 is what these wheels were built and tested against).
-
-TESTED FEATURES (host-validated 16/16 against HDF5 1.14.6; device script
-Test_H5py.py repeats the same flow on device)
-  import + version wiring, groups, int/float/compound/vlen-string datasets,
-  file + group attributes, gzip write + read-back, chunked resizable
-  datasets, core-driver in-memory files, temp-file roundtrip.
-
-TROUBLESHOOTING
-  "numpy import" failure  -> install the NATIVE numpy wheel first.
-  "ImportError: libhdf5.so" -> reinstall this wheel (the two vendored .so
-    must sit next to __init__.py inside h5py/); do not rename them.
-  Version-mismatch warning -> should never appear (runtime == built-against
-    1.14.6); if it does, a foreign libhdf5 is shadowing the vendored one.
-
-================================================================================
-  Generated by RIMI
-================================================================================