remove remfile dependency

README.md

@@ -18,7 +18,7 @@ LINDI provides:
 - An h5py-like interface for reading from and writing to these data sources that can be used with [pynwb](https://pynwb.readthedocs.io/en/stable/).
 - A mechanism for uploading and downloading these data sources to and from cloud storage, including DANDI.
 
-This project was inspired by [kerchunk](https://github.com/fsspec/kerchunk) and [hdmf-zarr](https://hdmf-zarr.readthedocs.io/en/latest/index.html) and depends on [zarr](https://zarr.readthedocs.io/en/stable/), [h5py](https://www.h5py.org/), [remfile](https://github.com/magland/remfile) and [numcodecs](https://numcodecs.readthedocs.io/en/stable/).
+This project was inspired by [kerchunk](https://github.com/fsspec/kerchunk) and [hdmf-zarr](https://hdmf-zarr.readthedocs.io/en/latest/index.html) and depends on [zarr](https://zarr.readthedocs.io/en/stable/), [h5py](https://www.h5py.org/) and [numcodecs](https://numcodecs.readthedocs.io/en/stable/).
 
 ## Installation
 

docs/special_zarr_annotations.md

@@ -34,7 +34,7 @@ Note that we do not currently support external links.
 - `object_id`: The object_id attribute of the target object (for validation).
 - `source_object_id`: The object_id attribute of the source object (for validation).
 
-The largely follows the [convention used by hdmf-zarr](https://hdmf-zarr.readthedocs.io/en/latest/storage.html#storing-object-references-in-attributes). 
+The largely follows the [convention used by hdmf-zarr](https://hdmf-zarr.readthedocs.io/en/latest/storage.html#storing-object-references-in-attributes).
 
 HDF5 references can appear within both attributes and datasets. For attributes, the value of the attribute is a dict in the above form. For datasets, the value of an item within the dataset is a dict in the above form.
 
@@ -50,4 +50,4 @@ Zarr arrays can represent compound data types from HDF5 datasets. The `_COMPOUND
 
 ### `_EXTERNAL_ARRAY_LINK = {'link_type': 'hdf5_dataset', 'url': '...', 'name': '...'}`
 
-For datasets with an extensive number of chunks such that inclusion in the Zarr or reference file system is impractical, LINDI uses the `_EXTERNAL_ARRAY_LINK` attribute on a Zarr array. This attribute points to an external HDF5 file, specifying the `url` for remote access (or local path) and the `name` of the target dataset within that file. When slicing that dataset, the `LindiH5pyClient` will handle data retrieval, leveraging `h5py` and `remfile` for remote access.
+For datasets with an extensive number of chunks such that inclusion in the Zarr or reference file system is impractical, LINDI uses the `_EXTERNAL_ARRAY_LINK` attribute on a Zarr array. This attribute points to an external HDF5 file, specifying the `url` for remote access (or local path) and the `name` of the target dataset within that file. When slicing that dataset, the `LindiH5pyClient` will handle data retrieval, leveraging `h5py` and `LindiRemfile` for remote access.

pyproject.toml

@@ -14,7 +14,6 @@ python = "^3.8"
 numcodecs = "^0.12.1"
 zarr = "^2.16.1"
 h5py = "^3.10.0"
-remfile = "^0.1.9"
 requests = "^2.31.0"
 
 [tool.poetry.group.dev.dependencies]