AttributeError: 'lil_matrix' object has no attribute 'check_format'
self = <climada_petals.hazard.test.test_low_flow.TestLowFlowDummyData testMethod=test_events_from_clusters_default>

    def test_events_from_clusters_default(self):
        """Test events_from_clusters: creation of events and computation of intensity based on clusters,
        requires: identify_clusters, Centroids, also tests correct intensity sum"""
        haz = LowFlow()
        haz.lowflow_df = init_test_data_clustering()
        haz.identify_clusters(clus_thresh_xy=1.5, clus_thresh_t=1, min_samples=1)
        centroids = init_test_centroids(haz.lowflow_df)
>       haz.events_from_clusters(centroids)

climada_petals/hazard/test/test_low_flow.py:121: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/hazard/low_flow.py:397: in events_from_clusters
    self.intensity = self._intensity_loop(uniq_ev, centroids.coord, res_centr, num_centr)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/hazard/base.py:221: in intensity
    u_check.prune_csr_matrix(self._intensity)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

matrix = <4x36 sparse matrix of type '<class 'numpy.float64'>'
	with 11 stored elements in List of Lists format>

    def prune_csr_matrix(matrix: sparse.csr_matrix):
        """Ensure that the matrix is in the "canonical format".
    
        Depending on how the matrix was instantiated or modified, it might be in a
        "non-canonical" state. This only relates to its internal storage. In this state,
        multiple values might be stored for a single "apparent" value in the matrix.
        Also, the matrix might store zeros explicitly, which could be removed.
        Calling this function makes sure that the matrix is in the "canonical state", and
        brings it into this state, if possible.
    
        See Also
        --------
        `csr_matrix.has_canonical_format
        <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.has_canonical_format.html#scipy.sparse.csr_matrix.has_canonical_format>`_
    
        Parameters
        ----------
        matrix : csr_matrix
            The matrix to check. It will be modified *inplace*. No apparent matrix values
            will change.
    
        Raises
        ------
        ValueError
            If
            `csr_matrix.check_format
            <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format>`_
            fails
        """
>       matrix.check_format()
E       AttributeError: 'lil_matrix' object has no attribute 'check_format'

../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/util/checker.py:196: AttributeError

AttributeError: 'lil_matrix' object has no attribute 'check_format'
self = <climada_petals.hazard.test.test_low_flow.TestLowFlowNETCDF testMethod=test_combine_nc>

    def test_combine_nc(self):
        """Test combining two chunked data files (2001-2003 combined with 2004-2005)"""
>       haz = LowFlow.from_netcdf(input_dir=INPUT_DIR, percentile=2.5,
                         yearrange=(2001, 2005), yearrange_ref=(2001, 2005),
                         gh_model='h08', cl_model='gfdl-esm2m',
                         scenario='historical', scenario_ref='historical', soc='histsoc',
                         soc_ref='histsoc', fn_str_var=FN_STR_DEMO, keep_dis_data=True,
                         yearchunks=['2001_2003', '2004_2005'])

climada_petals/hazard/test/test_low_flow.py:197: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/hazard/low_flow.py:275: in from_netcdf
    haz.set_intensity_from_clusters(centroids, min_intensity, min_number_cells,
climada_petals/hazard/low_flow.py:286: in set_intensity_from_clusters
    self.events_from_clusters(centroids)
climada_petals/hazard/low_flow.py:397: in events_from_clusters
    self.intensity = self._intensity_loop(uniq_ev, centroids.coord, res_centr, num_centr)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/hazard/base.py:221: in intensity
    u_check.prune_csr_matrix(self._intensity)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

matrix = <66x513 sparse matrix of type '<class 'numpy.float64'>'
	with 793 stored elements in List of Lists format>

    def prune_csr_matrix(matrix: sparse.csr_matrix):
        """Ensure that the matrix is in the "canonical format".
    
        Depending on how the matrix was instantiated or modified, it might be in a
        "non-canonical" state. This only relates to its internal storage. In this state,
        multiple values might be stored for a single "apparent" value in the matrix.
        Also, the matrix might store zeros explicitly, which could be removed.
        Calling this function makes sure that the matrix is in the "canonical state", and
        brings it into this state, if possible.
    
        See Also
        --------
        `csr_matrix.has_canonical_format
        <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.has_canonical_format.html#scipy.sparse.csr_matrix.has_canonical_format>`_
    
        Parameters
        ----------
        matrix : csr_matrix
            The matrix to check. It will be modified *inplace*. No apparent matrix values
            will change.
    
        Raises
        ------
        ValueError
            If
            `csr_matrix.check_format
            <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format>`_
            fails
        """
>       matrix.check_format()
E       AttributeError: 'lil_matrix' object has no attribute 'check_format'

../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/util/checker.py:196: AttributeError

AttributeError: 'lil_matrix' object has no attribute 'check_format'
self = <climada_petals.hazard.test.test_low_flow.TestLowFlowNETCDF testMethod=test_filter_events>

    def test_filter_events(self):
        """test if the right events are being filtered out"""
>       haz = LowFlow.from_netcdf(input_dir=INPUT_DIR, percentile=2.5, min_intensity=10,
                        min_number_cells=10, min_days_per_month=10,
                        yearrange=(2001, 2003), yearrange_ref=(2001, 2003),
                        gh_model='h08', cl_model='gfdl-esm2m',
                        scenario='historical', scenario_ref='historical', soc='histsoc',
                        soc_ref='histsoc', fn_str_var=FN_STR_DEMO, keep_dis_data=True,
                        yearchunks=['2001_2003'])

climada_petals/hazard/test/test_low_flow.py:232: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/hazard/low_flow.py:275: in from_netcdf
    haz.set_intensity_from_clusters(centroids, min_intensity, min_number_cells,
climada_petals/hazard/low_flow.py:286: in set_intensity_from_clusters
    self.events_from_clusters(centroids)
climada_petals/hazard/low_flow.py:397: in events_from_clusters
    self.intensity = self._intensity_loop(uniq_ev, centroids.coord, res_centr, num_centr)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/hazard/base.py:221: in intensity
    u_check.prune_csr_matrix(self._intensity)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

matrix = <23x513 sparse matrix of type '<class 'numpy.float64'>'
	with 381 stored elements in List of Lists format>

    def prune_csr_matrix(matrix: sparse.csr_matrix):
        """Ensure that the matrix is in the "canonical format".
    
        Depending on how the matrix was instantiated or modified, it might be in a
        "non-canonical" state. This only relates to its internal storage. In this state,
        multiple values might be stored for a single "apparent" value in the matrix.
        Also, the matrix might store zeros explicitly, which could be removed.
        Calling this function makes sure that the matrix is in the "canonical state", and
        brings it into this state, if possible.
    
        See Also
        --------
        `csr_matrix.has_canonical_format
        <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.has_canonical_format.html#scipy.sparse.csr_matrix.has_canonical_format>`_
    
        Parameters
        ----------
        matrix : csr_matrix
            The matrix to check. It will be modified *inplace*. No apparent matrix values
            will change.
    
        Raises
        ------
        ValueError
            If
            `csr_matrix.check_format
            <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format>`_
            fails
        """
>       matrix.check_format()
E       AttributeError: 'lil_matrix' object has no attribute 'check_format'

../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/util/checker.py:196: AttributeError

AttributeError: 'lil_matrix' object has no attribute 'check_format'
self = <climada_petals.hazard.test.test_low_flow.TestLowFlowNETCDF testMethod=test_load_FR_all>

    def test_load_FR_all(self):
        """Test defining low flow hazard from demo file (France 2001-2003)
        and keep monthly data"""
    
        # init test hazard instance from trimmed ISIMIP output netcdf file
>       haz = LowFlow.from_netcdf(input_dir=INPUT_DIR, percentile=2.5,
                    yearrange=(2001, 2003), yearrange_ref=(2001, 2003),
                    gh_model='h08', cl_model='gfdl-esm2m',
                    scenario='historical', scenario_ref='historical', soc='histsoc',
                    soc_ref='histsoc', fn_str_var=FN_STR_DEMO, keep_dis_data=True,
                    yearchunks=['2001_2003'])

climada_petals/hazard/test/test_low_flow.py:164: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/hazard/low_flow.py:275: in from_netcdf
    haz.set_intensity_from_clusters(centroids, min_intensity, min_number_cells,
climada_petals/hazard/low_flow.py:286: in set_intensity_from_clusters
    self.events_from_clusters(centroids)
climada_petals/hazard/low_flow.py:397: in events_from_clusters
    self.intensity = self._intensity_loop(uniq_ev, centroids.coord, res_centr, num_centr)
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/hazard/base.py:221: in intensity
    u_check.prune_csr_matrix(self._intensity)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

matrix = <43x513 sparse matrix of type '<class 'numpy.float64'>'
	with 564 stored elements in List of Lists format>

    def prune_csr_matrix(matrix: sparse.csr_matrix):
        """Ensure that the matrix is in the "canonical format".
    
        Depending on how the matrix was instantiated or modified, it might be in a
        "non-canonical" state. This only relates to its internal storage. In this state,
        multiple values might be stored for a single "apparent" value in the matrix.
        Also, the matrix might store zeros explicitly, which could be removed.
        Calling this function makes sure that the matrix is in the "canonical state", and
        brings it into this state, if possible.
    
        See Also
        --------
        `csr_matrix.has_canonical_format
        <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.has_canonical_format.html#scipy.sparse.csr_matrix.has_canonical_format>`_
    
        Parameters
        ----------
        matrix : csr_matrix
            The matrix to check. It will be modified *inplace*. No apparent matrix values
            will change.
    
        Raises
        ------
        ValueError
            If
            `csr_matrix.check_format
            <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format>`_
            fails
        """
>       matrix.check_format()
E       AttributeError: 'lil_matrix' object has no attribute 'check_format'

../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/util/checker.py:196: AttributeError

AttributeError: 'lil_matrix' object has no attribute 'check_format'
self = <climada_petals.hazard.test.test_wildfire.TestMethodsFirms testMethod=test_calc_bright_pass>

        def test_calc_bright_pass(self):
            """ Test _calc_brightness """
    #        from pathos.pools import ProcessPool as Pool
    #        pool = Pool()
            wf = WildFire()
            firms = wf._clean_firms_df(TEST_FIRMS)
            firms['datenum'].values[100] = 7000
            firms = wf._firms_cons_days(firms)
            firms = wf._firms_clustering(firms, DEF_CENTROIDS[1]/2/15)
            wf._firms_fire(firms)
            firms.latitude[8169] = firms.loc[16]['latitude']
            firms.longitude[8169] = firms.loc[16]['longitude']
>           wf._calc_brightness(firms, DEF_CENTROIDS[0], DEF_CENTROIDS[1])

climada_petals/hazard/test/test_wildfire.py:226: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
climada_petals/hazard/wildfire.py:902: in _calc_brightness
    self.intensity = sparse.lil_matrix(np.zeros((num_ev, num_centr)))
../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/hazard/base.py:221: in intensity
    u_check.prune_csr_matrix(self._intensity)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

matrix = <7x19454 sparse matrix of type '<class 'numpy.float64'>'
	with 0 stored elements in List of Lists format>

    def prune_csr_matrix(matrix: sparse.csr_matrix):
        """Ensure that the matrix is in the "canonical format".
    
        Depending on how the matrix was instantiated or modified, it might be in a
        "non-canonical" state. This only relates to its internal storage. In this state,
        multiple values might be stored for a single "apparent" value in the matrix.
        Also, the matrix might store zeros explicitly, which could be removed.
        Calling this function makes sure that the matrix is in the "canonical state", and
        brings it into this state, if possible.
    
        See Also
        --------
        `csr_matrix.has_canonical_format
        <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.has_canonical_format.html#scipy.sparse.csr_matrix.has_canonical_format>`_
    
        Parameters
        ----------
        matrix : csr_matrix
            The matrix to check. It will be modified *inplace*. No apparent matrix values
            will change.
    
        Raises
        ------
        ValueError
            If
            `csr_matrix.check_format
            <https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.check_format.html#scipy.sparse.csr_matrix.check_format>`_
            fails
        """
>       matrix.check_format()
E       AttributeError: 'lil_matrix' object has no attribute 'check_format'

../../../../micromamba/envs/climada_env_3.10/lib/python3.10/site-packages/climada/util/checker.py:196: AttributeError