Merge pull request #498 from Hind-M/fetch_datasets

Fetch datasets

13 files changed, 372 insertions, 26 deletions

diff --git a/.circleci/config.yml b/.circleci/config.yml
index f6a875dd..90737006 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -61,7 +61,7 @@ jobs:
             cmake -DUSER_VERSION_DIR=version ..
             make user_version
             cd version
-            cmake -DCMAKE_BUILD_TYPE=Release -DWITH_GUDHI_EXAMPLE=OFF -DWITH_GUDHI_UTILITIES=OFF -DWITH_GUDHI_PYTHON=ON -DPython_ADDITIONAL_VERSIONS=3 .
+            cmake -DCMAKE_BUILD_TYPE=Release -DWITH_GUDHI_EXAMPLE=OFF -DWITH_GUDHI_UTILITIES=OFF -DWITH_GUDHI_PYTHON=ON -DPython_ADDITIONAL_VERSIONS=3 -DWITH_GUDHI_REMOTE_TEST=ON .
             cd python
             python3 setup.py build_ext --inplace
             make sphinx
diff --git a/.github/for_maintainers/tests_strategy.md b/.github/for_maintainers/tests_strategy.md
index c25acf9b..338d4282 100644
--- a/.github/for_maintainers/tests_strategy.md
+++ b/.github/for_maintainers/tests_strategy.md
@@ -8,13 +8,13 @@ The aim is to help maintainers to anticipate third parties modifications, update
 
 ### Linux
 
-As all the third parties are already installed (thanks to docker), the compilations has been seperated by categories to be parallelized:
+As all the third parties are already installed (thanks to docker), the compilations have been separated in categories to be parallelized:
 
 * examples (C++)
 * tests (C++)
 * utils (C++)
 * doxygen (C++ documentation that is available in the artefacts)
-* python (including documentation and code coverage that are available in the artefacts)
+* python (including documentation and code coverage that are available in the artefacts; here the WITH_GUDHI_REMOTE_TEST option is enabled which adds datasets fetching test)
 
 (cf. `.circleci/config.yml`)
 
@@ -25,9 +25,9 @@ Without CGAL, and, with or without Eigen builds are performed inside the docker
 
 #### Update docker images
 
-C++ third parties installation are done thanks to apt on Ubuntu latest LTS.
+C++ third parties installation is done thanks to apt on Ubuntu latest LTS.
 
-Docker images need to be rebuild and push each time `.github/build-requirements`, `.github/test-requirements`, when a new third party is added, when a new CGAL version improves gudhi performances, ...
+Docker images need to be rebuilt and pushed each time `.github/build-requirements`, `.github/test-requirements`, when a new third party is added, when a new CGAL version improves gudhi performances, ...
 
 ```bash
 docker build -f Dockerfile_for_circleci_image -t gudhi/ci_for_gudhi:latest .
@@ -39,35 +39,35 @@ docker push gudhi/ci_for_gudhi_wo_cgal:latest
 
 ### Windows
 
-The compilations are not parallelized, as installation time (about 30 minutes) is too much compare to
+The compilations are not parallelized, as installation time (about 30 minutes) is too much compared to
 build and tests timings (about 30 minutes). Builds and tests include:
 
 * examples (C++)
 * tests (C++)
 * utils (C++)
-* python
+* python (here the WITH_GUDHI_REMOTE_TEST option is enabled which adds datasets fetching test)
 
 Doxygen (C++) is not generated.
 (cf. `azure-pipelines.yml`)
 
-C++ third parties installation are done thanks to [vcpkg](https://github.com/microsoft/vcpkg/).
-In case of installation issue, check in [vcpkg issues](https://github.com/microsoft/vcpkg/issues).
+C++ third parties installation is done thanks to [vcpkg](https://github.com/microsoft/vcpkg/).
+In case of an installation issue, check in [vcpkg issues](https://github.com/microsoft/vcpkg/issues).
 
 ### OSx
 
 The compilations are not parallelized, but they should, as installation time (about 4 minutes) is
-negligeable compare to build and tests timings (about 30 minutes). Builds and tests include:
+negligible compared to build and tests timings (about 30 minutes). Builds and tests include:
 
 * examples (C++)
 * tests (C++)
 * utils (C++)
-* python
+* python (here the WITH_GUDHI_REMOTE_TEST option is enabled which adds datasets fetching test)
 * Doxygen (C++)
 
 (cf. `azure-pipelines.yml`)
 
-C++ third parties installation are done thanks to [brew](https://formulae.brew.sh/formula/).
-In case of installation issue, check in formula issues.
+C++ third parties installation is done thanks to [brew](https://formulae.brew.sh/formula/).
+In case of an installation issue, check in formula issues.
 
 ## Pip packaging
 
@@ -80,9 +80,9 @@ Only the Linux pip package is based on a docker image (`gudhi/pip_for_gudhi` bas
 
 ### Update docker image
 
-C++ third parties installation are done thanks to yum on an image based on `quay.io/pypa/manylinux2014_x86_64`.
+C++ third parties installation is done thanks to yum on an image based on `quay.io/pypa/manylinux2014_x86_64`.
 
-Docker image need to be rebuild and push each time `.github/build-requirements`, when a new third party is added, when a new CGAL version improves gudhi performances, ...
+Docker image needs to be rebuilt and pushed each time `.github/build-requirements`, when a new third party is added, when a new CGAL version improves gudhi performances, ...
 As `.github/test-requirements` is not installed, no need to rebuild image when this file is modified.
 
 ```bash
diff --git a/azure-pipelines.yml b/azure-pipelines.yml
index 31264c37..e005b3be 100644
--- a/azure-pipelines.yml
+++ b/azure-pipelines.yml
@@ -30,7 +30,7 @@ jobs:
     - bash: |
         mkdir build
         cd build
-        cmake -DCMAKE_BUILD_TYPE:STRING=$(cmakeBuildType) -DWITH_GUDHI_EXAMPLE=ON -DWITH_GUDHI_TEST=ON -DWITH_GUDHI_UTILITIES=ON -DWITH_GUDHI_PYTHON=ON ..
+        cmake -DCMAKE_BUILD_TYPE:STRING=$(cmakeBuildType) -DWITH_GUDHI_EXAMPLE=ON -DWITH_GUDHI_TEST=ON -DWITH_GUDHI_UTILITIES=ON -DWITH_GUDHI_PYTHON=ON -DWITH_GUDHI_REMOTE_TEST=ON ..
         make
         make doxygen
         ctest --output-on-failure
@@ -74,7 +74,7 @@ jobs:
         IF %errorlevel% NEQ 0 exit /b %errorlevel%
         ctest --output-on-failure -C Release -E diff_files
         IF %errorlevel% NEQ 0 exit /b %errorlevel%
-        cmake  -DWITH_GUDHI_PYTHON=ON .
+        cmake  -DWITH_GUDHI_PYTHON=ON -DWITH_GUDHI_REMOTE_TEST=ON .
         IF %errorlevel% NEQ 0 exit /b %errorlevel%
         cd src\python
         copy "C:\vcpkg\installed\x64-windows\bin\mpfr*.dll" ".\gudhi\"
diff --git a/src/cmake/modules/GUDHI_options.cmake b/src/cmake/modules/GUDHI_options.cmake
index bffb3ffc..c75b72f5 100644
--- a/src/cmake/modules/GUDHI_options.cmake
+++ b/src/cmake/modules/GUDHI_options.cmake
@@ -1,5 +1,6 @@
 option(WITH_GUDHI_BENCHMARK "Activate/deactivate benchmark compilation" OFF)
 option(WITH_GUDHI_EXAMPLE "Activate/deactivate examples compilation and installation" OFF)
+option(WITH_GUDHI_REMOTE_TEST "Activate/deactivate datasets fetching test which uses the Internet" OFF)
 option(WITH_GUDHI_PYTHON "Activate/deactivate python module compilation and installation" ON)
 option(WITH_GUDHI_TEST "Activate/deactivate examples compilation and installation" ON)
 option(WITH_GUDHI_UTILITIES "Activate/deactivate utilities compilation and installation" ON)
diff --git a/src/common/doc/installation.h b/src/common/doc/installation.h
index 24a7fc7a..229c9f59 100644
--- a/src/common/doc/installation.h
+++ b/src/common/doc/installation.h
@@ -40,6 +40,8 @@ make \endverbatim
  * `make test` is using <a href="https://cmake.org/cmake/help/latest/manual/ctest.1.html">Ctest</a> (CMake test driver
  * program). If some of the tests are failing, please send us the result of the following command:
  * \verbatim ctest --output-on-failure \endverbatim
+ * Testing fetching datasets feature requires the use of the internet and is disabled by default. If you want to include this test, set WITH_GUDHI_REMOTE_TEST to ON when building in the previous step (note that this test is included in the python module):
+ * \verbatim cmake -DCMAKE_BUILD_TYPE=Release -DWITH_GUDHI_TEST=ON -DWITH_GUDHI_REMOTE_TEST=ON --DWITH_GUDHI_PYTHON=ON .. \endverbatim
  * 
  * \subsection documentationgeneration Documentation
  * To generate the documentation, <a target="_blank" href="http://www.doxygen.org/">Doxygen</a> is required.
diff --git a/src/python/CMakeLists.txt b/src/python/CMakeLists.txt
index af0b6115..c3768475 100644
--- a/src/python/CMakeLists.txt
+++ b/src/python/CMakeLists.txt
@@ -591,6 +591,11 @@ if(PYTHONINTERP_FOUND)
       add_gudhi_py_test(test_dtm_rips_complex)
     endif()
 
+    # Fetch remote datasets
+    if(WITH_GUDHI_REMOTE_TEST)
+      add_gudhi_py_test(test_remote_datasets)
+    endif()
+
     # persistence graphical tools
     if(MATPLOTLIB_FOUND)
       add_gudhi_py_test(test_persistence_graphical_tools)
diff --git a/src/python/doc/datasets_generators.inc b/src/python/doc/datasets.inc
index 8d169275..95a87678 100644
--- a/src/python/doc/datasets_generators.inc
+++ b/src/python/doc/datasets.inc
@@ -2,7 +2,7 @@
    :widths: 30 40 30
 
    +-----------------------------------+--------------------------------------------+--------------------------------------------------------------------------------------+
-   | .. figure::                       | Datasets generators (points).              | :Authors: Hind Montassif                                                             |
+   | .. figure::                       | Datasets either generated or fetched.      | :Authors: Hind Montassif                                                             |
    |     img/sphere_3d.png             |                                            |                                                                                      |
    |                                   |                                            | :Since: GUDHI 3.5.0                                                                  |
    |                                   |                                            |                                                                                      |
@@ -10,5 +10,5 @@
    |                                   |                                            |                                                                                      |
    |                                   |                                            | :Requires: `CGAL <installation.html#cgal>`_                                          |
    +-----------------------------------+--------------------------------------------+--------------------------------------------------------------------------------------+
-   | * :doc:`datasets_generators`                                                                                                                                          |
+   | * :doc:`datasets`                                                                                                                                                     |
    +-----------------------------------+-----------------------------------------------------------------------------------------------------------------------------------+
diff --git a/src/python/doc/datasets_generators.rst b/src/python/doc/datasets.rst
index 260c3882..2d11a19d 100644
--- a/src/python/doc/datasets_generators.rst
+++ b/src/python/doc/datasets.rst
@@ -3,12 +3,14 @@
 
 .. To get rid of WARNING: document isn't included in any toctree
 
-===========================
-Datasets generators manual
-===========================
+================
+Datasets manual
+================
 
-We provide the generation of different customizable datasets to use as inputs for Gudhi complexes and data structures.
+Datasets generators
+===================
 
+We provide the generation of different customizable datasets to use as inputs for Gudhi complexes and data structures.
 
 Points generators
 ------------------
@@ -103,3 +105,29 @@ Example
 
 
 .. autofunction:: gudhi.datasets.generators.points.torus
+
+
+Fetching datasets
+=================
+
+We provide some ready-to-use datasets that are not available by default when getting GUDHI, and need to be fetched explicitly.
+
+By **default**, the fetched datasets directory is set to a folder named **'gudhi_data'** in the **user home folder**.
+Alternatively, it can be set using the **'GUDHI_DATA'** environment variable.
+
+.. autofunction:: gudhi.datasets.remote.fetch_bunny
+
+.. figure:: ./img/bunny.png
+     :figclass: align-center
+
+     3D Stanford bunny with 35947 vertices.
+
+
+.. autofunction:: gudhi.datasets.remote.fetch_spiral_2d
+
+.. figure:: ./img/spiral_2d.png
+     :figclass: align-center
+
+     2D spiral with 114562 vertices.
+
+.. autofunction:: gudhi.datasets.remote.clear_data_home
diff --git a/src/python/doc/img/bunny.png b/src/python/doc/img/bunny.png
new file mode 100644
index 00000000..769aa530
--- /dev/null
+++ b/src/python/doc/img/bunny.png
diff --git a/src/python/doc/img/spiral_2d.png b/src/python/doc/img/spiral_2d.png
new file mode 100644
index 00000000..abd247cd
--- /dev/null
+++ b/src/python/doc/img/spiral_2d.png
diff --git a/src/python/doc/index.rst b/src/python/doc/index.rst
index 2d7921ae..35f4ba46 100644
--- a/src/python/doc/index.rst
+++ b/src/python/doc/index.rst
@@ -92,7 +92,7 @@ Clustering
 
 .. include:: clustering.inc
 
-Datasets generators
-*******************
+Datasets
+********
 
-.. include:: datasets_generators.inc
+.. include:: datasets.inc
diff --git a/src/python/gudhi/datasets/remote.py b/src/python/gudhi/datasets/remote.py
new file mode 100644
index 00000000..f6d3fe56
--- /dev/null
+++ b/src/python/gudhi/datasets/remote.py
@@ -0,0 +1,223 @@
+# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+# Author(s):       Hind Montassif
+#
+# Copyright (C) 2021 Inria
+#
+# Modification(s):
+#   - YYYY/MM Author: Description of the modification
+
+from os.path import join, split, exists, expanduser
+from os import makedirs, remove, environ
+
+from urllib.request import urlretrieve
+import hashlib
+import shutil
+
+import numpy as np
+
+def _get_data_home(data_home = None):
+    """
+    Return the path of the remote datasets directory.
+    This folder is used to store remotely fetched datasets.
+    By default the datasets directory is set to a folder named 'gudhi_data' in the user home folder.
+    Alternatively, it can be set by the 'GUDHI_DATA' environment variable.
+    The '~' symbol is expanded to the user home folder.
+    If the folder does not already exist, it is automatically created.
+
+    Parameters
+    ----------
+    data_home : string
+        The path to remote datasets directory.
+        Default is `None`, meaning that the data home directory will be set to "~/gudhi_data",
+        if the 'GUDHI_DATA' environment variable does not exist.
+
+    Returns
+    -------
+    data_home: string
+        The path to remote datasets directory.
+    """
+    if data_home is None:
+        data_home = environ.get("GUDHI_DATA", join("~", "gudhi_data"))
+    data_home = expanduser(data_home)
+    makedirs(data_home, exist_ok=True)
+    return data_home
+
+
+def clear_data_home(data_home = None):
+    """
+    Delete the data home cache directory and all its content.
+
+    Parameters
+    ----------
+    data_home : string, default is None.
+        The path to remote datasets directory.
+        If `None` and the 'GUDHI_DATA' environment variable does not exist,
+        the default directory to be removed is set to "~/gudhi_data".
+    """
+    data_home = _get_data_home(data_home)
+    shutil.rmtree(data_home)
+
+def _checksum_sha256(file_path):
+    """
+    Compute the file checksum using sha256.
+
+    Parameters
+    ----------
+    file_path: string
+        Full path of the created file including filename.
+
+    Returns
+    -------
+        The hex digest of file_path.
+    """
+    sha256_hash = hashlib.sha256()
+    chunk_size = 4096
+    with open(file_path,"rb") as f:
+        # Read and update hash string value in blocks of 4K
+        while True:
+            buffer = f.read(chunk_size)
+            if not buffer:
+                break
+            sha256_hash.update(buffer)
+    return sha256_hash.hexdigest()
+
+def _fetch_remote(url, file_path, file_checksum = None):
+    """
+    Fetch the wanted dataset from the given url and save it in file_path.
+
+    Parameters
+    ----------
+    url : string
+        The url to fetch the dataset from.
+    file_path : string
+        Full path of the downloaded file including filename.
+    file_checksum : string
+        The file checksum using sha256 to check against the one computed on the downloaded file.
+        Default is 'None', which means the checksum is not checked.
+
+    Raises
+    ------
+    IOError
+        If the computed SHA256 checksum of file does not match the one given by the user.
+    """
+
+    # Get the file
+    urlretrieve(url, file_path)
+
+    if file_checksum is not None:
+        checksum = _checksum_sha256(file_path)
+        if file_checksum != checksum:
+            # Remove file and raise error
+            remove(file_path)
+            raise IOError("{} has a SHA256 checksum : {}, "
+                        "different from expected : {}."
+                        "The file may be corrupted or the given url may be wrong !".format(file_path, checksum, file_checksum))
+
+def _get_archive_path(file_path, label):
+    """
+    Get archive path based on file_path given by user and label.
+
+    Parameters
+    ----------
+    file_path: string
+        Full path of the file to get including filename, or None.
+    label: string
+        Label used along with 'data_home' to get archive path, in case 'file_path' is None.
+
+    Returns
+    -------
+        Full path of archive including filename.
+    """
+    if file_path is None:
+        archive_path = join(_get_data_home(), label)
+        dirname = split(archive_path)[0]
+        makedirs(dirname, exist_ok=True)
+    else:
+        archive_path = file_path
+        dirname = split(archive_path)[0]
+        makedirs(dirname, exist_ok=True)
+
+    return archive_path
+
+def fetch_spiral_2d(file_path = None):
+    """
+    Load the spiral_2d dataset.
+
+    Note that if the dataset already exists in the target location, it is not downloaded again,
+    and the corresponding array is returned from cache.
+
+    Parameters
+    ----------
+    file_path : string
+        Full path of the downloaded file including filename.
+
+        Default is None, meaning that it's set to "data_home/points/spiral_2d/spiral_2d.npy".
+
+        The "data_home" directory is set by default to "~/gudhi_data",
+        unless the 'GUDHI_DATA' environment variable is set.
+
+    Returns
+    -------
+    points: numpy array
+        Array of shape (114562, 2).
+    """
+    file_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/spiral_2d/spiral_2d.npy"
+    file_checksum = '2226024da76c073dd2f24b884baefbfd14928b52296df41ad2d9b9dc170f2401'
+
+    archive_path = _get_archive_path(file_path, "points/spiral_2d/spiral_2d.npy")
+
+    if not exists(archive_path):
+        _fetch_remote(file_url, archive_path, file_checksum)
+
+    return np.load(archive_path, mmap_mode='r')
+
+def fetch_bunny(file_path = None, accept_license = False):
+    """
+    Load the Stanford bunny dataset.
+
+    This dataset contains 35947 vertices.
+
+    Note that if the dataset already exists in the target location, it is not downloaded again,
+    and the corresponding array is returned from cache.
+
+    Parameters
+    ----------
+    file_path : string
+        Full path of the downloaded file including filename.
+
+        Default is None, meaning that it's set to "data_home/points/bunny/bunny.npy".
+        In this case, the LICENSE file would be downloaded as "data_home/points/bunny/bunny.LICENSE".
+
+        The "data_home" directory is set by default to "~/gudhi_data",
+        unless the 'GUDHI_DATA' environment variable is set.
+
+    accept_license : boolean
+        Flag to specify if user accepts the file LICENSE and prevents from printing the corresponding license terms.
+
+        Default is False.
+
+    Returns
+    -------
+    points: numpy array
+        Array of shape (35947, 3).
+    """
+
+    file_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/bunny/bunny.npy"
+    file_checksum = 'f382482fd89df8d6444152dc8fd454444fe597581b193fd139725a85af4a6c6e'
+    license_url = "https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/bunny/bunny.LICENSE"
+    license_checksum = 'b763dbe1b2fc6015d05cbf7bcc686412a2eb100a1f2220296e3b4a644c69633a'
+
+    archive_path = _get_archive_path(file_path, "points/bunny/bunny.npy")
+
+    if not exists(archive_path):
+        _fetch_remote(file_url, archive_path, file_checksum)
+        license_path = join(split(archive_path)[0], "bunny.LICENSE")
+        _fetch_remote(license_url, license_path, license_checksum)
+        # Print license terms unless accept_license is set to True
+        if not accept_license:
+            if exists(license_path):
+                with open(license_path, 'r') as f:
+                    print(f.read())
+
+    return np.load(archive_path, mmap_mode='r')
diff --git a/src/python/test/test_remote_datasets.py b/src/python/test/test_remote_datasets.py
new file mode 100644
index 00000000..e5d2de82
--- /dev/null
+++ b/src/python/test/test_remote_datasets.py
@@ -0,0 +1,87 @@
+# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
+# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
+# Author(s):       Hind Montassif
+#
+# Copyright (C) 2021 Inria
+#
+# Modification(s):
+#   - YYYY/MM Author: Description of the modification
+
+from gudhi.datasets import remote
+
+import shutil
+import io
+import sys
+import pytest
+
+from os.path import isdir, expanduser, exists
+from os import remove, environ
+
+def test_data_home():
+    # Test _get_data_home and clear_data_home on new empty folder
+    empty_data_home = remote._get_data_home(data_home="empty_folder_for_test")
+    assert isdir(empty_data_home)
+
+    remote.clear_data_home(data_home=empty_data_home)
+    assert not isdir(empty_data_home)
+
+def test_fetch_remote():
+    # Test fetch with a wrong checksum
+    with pytest.raises(OSError):
+        remote._fetch_remote("https://raw.githubusercontent.com/GUDHI/gudhi-data/main/points/spiral_2d/spiral_2d.npy", "tmp_spiral_2d.npy", file_checksum = 'XXXXXXXXXX')
+    assert not exists("tmp_spiral_2d.npy")
+
+def _get_bunny_license_print(accept_license = False):
+    capturedOutput = io.StringIO()
+    # Redirect stdout
+    sys.stdout = capturedOutput
+
+    bunny_arr = remote.fetch_bunny("./tmp_for_test/bunny.npy", accept_license)
+    assert bunny_arr.shape == (35947, 3)
+    del bunny_arr
+    remove("./tmp_for_test/bunny.npy")
+
+    # Reset redirect
+    sys.stdout = sys.__stdout__
+    return capturedOutput
+
+def test_print_bunny_license():
+    # Test not printing bunny.npy LICENSE when accept_license = True
+    assert "" == _get_bunny_license_print(accept_license = True).getvalue()
+    # Test printing bunny.LICENSE file when fetching bunny.npy with accept_license = False (default)
+    with open("./tmp_for_test/bunny.LICENSE") as f:
+        assert f.read().rstrip("\n") == _get_bunny_license_print().getvalue().rstrip("\n")
+    shutil.rmtree("./tmp_for_test")
+
+def test_fetch_remote_datasets_wrapped():
+    # Test fetch_spiral_2d and fetch_bunny wrapping functions with data directory different from default (twice, to test case of already fetched files)
+    # Default case is not tested because it would fail in case the user sets the 'GUDHI_DATA' environment variable locally
+    for i in range(2):
+        spiral_2d_arr = remote.fetch_spiral_2d("./another_fetch_folder_for_test/spiral_2d.npy")
+        assert spiral_2d_arr.shape == (114562, 2)
+
+        bunny_arr = remote.fetch_bunny("./another_fetch_folder_for_test/bunny.npy")
+        assert bunny_arr.shape == (35947, 3)
+
+    # Check that the directory was created
+    assert isdir("./another_fetch_folder_for_test")
+    # Check downloaded files
+    assert exists("./another_fetch_folder_for_test/spiral_2d.npy")
+    assert exists("./another_fetch_folder_for_test/bunny.npy")
+    assert exists("./another_fetch_folder_for_test/bunny.LICENSE")
+
+    # Remove test folders
+    del spiral_2d_arr
+    del bunny_arr
+    shutil.rmtree("./another_fetch_folder_for_test")
+
+def test_gudhi_data_env():
+    # Set environment variable "GUDHI_DATA"
+    environ["GUDHI_DATA"] = "./test_folder_from_env_var"
+    bunny_arr = remote.fetch_bunny()
+    assert bunny_arr.shape == (35947, 3)
+    assert exists("./test_folder_from_env_var/points/bunny/bunny.npy")
+    assert exists("./test_folder_from_env_var/points/bunny/bunny.LICENSE")
+    # Remove test folder
+    del bunny_arr
+    shutil.rmtree("./test_folder_from_env_var")