diff --git a/fied/frs/frs_extraction.py b/fied/frs/frs_extraction.py
index c1c0716..bcb55ff 100644
--- a/fied/frs/frs_extraction.py
+++ b/fied/frs/frs_extraction.py
@@ -651,7 +651,11 @@ def find_eis(acrnm):
     frs_methods.download_unzip_frs_data(combined=combined)
 
     frs_data_df = frs_methods.import_format_frs(combined=combined)
-    frs_data_df.to_csv(Path(__file__).parents[1], 'data/FRS/frs_data_formatted.csv')
+    frs_data_df.to_csv(
+        os.path.join(
+            Path(__file__).parents[1],
+            'data/FRS/frs_data_formatted.csv')
+    )
 
     # t_stop = time.perf_counter()
     # logging.info(f'Program time: {t_stop - t_start:0.2f} seconds')
diff --git a/fied/ghgrp/ghgrp_fac_unit.py b/fied/ghgrp/ghgrp_fac_unit.py
index aac318d..a06634b 100644
--- a/fied/ghgrp/ghgrp_fac_unit.py
+++ b/fied/ghgrp/ghgrp_fac_unit.py
@@ -10,74 +10,77 @@
 import logging
 
 
-class GHGRP_unit_char():
+def load_fueltype_dict():
+    """
+    Opens and loads a yaml that specifies the mapping of
+    GHGRP fuel types to standard fuel types that have
+    aready been applied to NEI data.
+
+    Returns
+    -------
+    fuel_dict : dictionary
+        Dictionary of mappings between GHGRP fuel types and
+        generic fuel types that have been applied to NEI data.
+    """
+
+    with open('./tools/type_standardization.yml', 'r') as file:
+        docs = yaml.safe_load_all(file)
+
+        for i, d in enumerate(docs):
+            if i == 0:
+                fuel_dict = d
+            else:
+                continue
 
-    def __init__(self, ghgrp_energy_file, reporting_year):
+    return fuel_dict
 
-        logging.basicConfig(level=logging.INFO)
 
-        self._ghgrp_unit_url = 'https://www.epa.gov/system/files/other-files/2022-10/emissions_by_unit_and_fuel_type_c_d_aa_10_2022.zip'
+# #TODO make into a tools method
+def harmonize_fuel_type(ghgrp_unit_data, fuel_type_column):
+    """
+    Applies fuel type mapping to fuel types reported under GHGRP.
 
-        self._data_dir = os.path.abspath('./data/GHGRP/')
+    Parameters
+    ----------
+    ghgrp_unit_data : pandas.DataFrame
 
-        self._ghgrp_energy_file = ghgrp_energy_file
+    fuel_type_column : str
+        Name of column containing fuel types.
 
-        self._data_source = 'GHGRP'
+    Returns
+    -------
+    ghgrp_unit_data : pandas.DataFrame
 
-        self._reporting_year = reporting_year
+    """
 
-    def load_fueltype_dict(self):
-        """
-        Opens and loads a yaml that specifies the mapping of
-        GHGRP fuel types to standard fuel types that have
-        aready been applied to NEI data.
+    fuel_dict = load_fueltype_dict()
 
-        Returns
-        -------
-        fuel_dict : dictionary
-            Dictionary of mappings between GHGRP fuel types and
-            generic fuel types that have been applied to NEI data.
-        """
+    ghgrp_unit_data.loc[:, 'fuelTypeStd'] = ghgrp_unit_data[fuel_type_column].map(fuel_dict)
 
-        with open('./tools/type_standardization.yml', 'r') as file:
-            docs = yaml.safe_load_all(file)
+    # drop any fuelTypes that are null
+    ghgrp_unit_data = ghgrp_unit_data.where(
+        ghgrp_unit_data[fuel_type_column] != 'None'
+        ).dropna(how='all')
 
-            for i, d in enumerate(docs):
-                if i == 0:
-                    fuel_dict = d
-                else:
-                    continue
+    return ghgrp_unit_data
 
-        return fuel_dict
 
-    # #TODO make into a tools method
-    def harmonize_fuel_type(self, ghgrp_unit_data, fuel_type_column):
-        """
-        Applies fuel type mapping to fuel types reported under GHGRP.
+class GHGRP_unit_char():
 
-        Parameters
-        ----------
-        ghgrp_unit_data : pandas.DataFrame
+    def __init__(self, ghgrp_energy_file, reporting_year):
 
-        fuel_type_column : str
-            Name of column containing fuel types.
+        logging.basicConfig(level=logging.INFO)
 
-        Returns
-        -------
-        ghgrp_unit_data : pandas.DataFrame
+        self._ghgrp_unit_url = 'https://www.epa.gov/system/files/other-files/2022-10/emissions_by_unit_and_fuel_type_c_d_aa_10_2022.zip'
 
-        """
+        self._data_dir = os.path.abspath('./data/GHGRP/')
 
-        fuel_dict = self.load_fueltype_dict()
+        self._ghgrp_energy_file = ghgrp_energy_file
 
-        ghgrp_unit_data.loc[:, 'fuelTypeStd'] = ghgrp_unit_data[fuel_type_column].map(fuel_dict)
+        self._data_source = 'GHGRP'
 
-        # drop any fuelTypes that are null
-        ghgrp_unit_data = ghgrp_unit_data.where(
-            ghgrp_unit_data[fuel_type_column] != 'None'
-            ).dropna(how='all')
+        self._reporting_year = reporting_year
 
-        return ghgrp_unit_data
 
     def download_unit_data(self):
         """
@@ -237,7 +240,7 @@ def format_ghgrp_df(self, ghgrp_df):
         ghgrp_df = ghgrp_df.query("REPORTING_YEAR==@self._reporting_year")
 
         # Harmonize fuel types for GHGRP data
-        ghgrp_df = self.harmonize_fuel_type(ghgrp_df, 'FUEL_TYPE_FINAL')
+        ghgrp_df = harmonize_fuel_type(ghgrp_df, 'FUEL_TYPE_FINAL')
 
         ghgrp_df.to_csv('ghgrp_emissions.csv')
 
diff --git a/fied/nei/nei_EF_calculations.py b/fied/nei/nei_EF_calculations.py
index 4559d15..f2f55aa 100644
--- a/fied/nei/nei_EF_calculations.py
+++ b/fied/nei/nei_EF_calculations.py
@@ -16,6 +16,154 @@
 
 logging.basicConfig(level=logging.INFO)
 
+def match_partial(full_list, partial_list):
+        """
+        The NEI file point_678910.csv contains truncated values for
+        unit types and calculation methods. This method creates a dictionary
+        that has approximate matches to each set of values based on the
+        point_12345.csv file. These are approximate matches because the
+        truncated values may have multiple matches (e.g., 'S/L/T Emis' matches
+        'S/L/T Emission Factor (no Control Efficiency used)' and
+        'S/L/T Emission Factor (pre-control) plus Control Efficiency'.
+
+        Parameters
+        ----------
+        full_list : list of str
+            List of complete unit types or calculation methods
+
+        partial_list : list of str
+            List of truncated unit types or calculation methods
+
+        Returns
+        -------
+        matching_dict : dictionary of str
+            Dictionary of {partial: match}.
+
+        """
+
+        matching_dict = {}
+
+        for k in partial_list:
+            len_k = len(k)
+            matches = [k == v[0:len_k] for v in full_list]
+            m_index = [i for i, val in enumerate(matches) if val]
+
+            try:
+                full = full_list[m_index[0]]  # use first match
+
+            except IndexError:
+                continue
+
+            else:
+                if full == k:
+                    continue
+
+                else:
+                    matching_dict[k] = full
+
+        return matching_dict
+
+
+def load_scc_unittypes(filename):
+        """
+        Load unit types (and fuel types) gleaned from SCC data.
+
+        Returns
+        -------
+        iden_scc : pandas.DataFrame
+            SCC codes with identified unit types and fuel types.
+
+        """
+
+        iden_scc = pd.read_csv(filename, index_col=0)
+        iden_scc.reset_index(drop=True, inplace=True)
+
+        iden_scc.loc[:, 'SCC'] = iden_scc.SCC.astype('int64')
+
+        iden_scc.rename(columns={
+            'unit_type': 'scc_unit_type',
+            'fuel_type': 'scc_fuel_type'}, inplace=True
+            )
+
+        return iden_scc
+
+
+def load_webfires(filename):
+        """
+        Load all EPA WebFire emissions factors, downloading from
+        https://www.epa.gov/electronic-reporting-air-emissions/webfire
+        if necessary.
+
+        Returns
+        -------
+        webfr : pandas.DataFrame
+            EPA WebFire emissions factors.
+        """
+        if filename.exists():
+
+            logging.info('Reading WebFire data from csv')
+
+            webfr = pd.read_csv(filename, low_memory=False)
+
+        else:
+
+            logging.info(
+                'Downloading WebFire data; writing webfirefactors.csv'
+                )
+
+            Path.mkdir(filename.parents[0])
+
+            r = requests.get('https://cfpub.epa.gov/webfire/download/webfirefactors.zip')
+
+            with zipfile.ZipFile(BytesIO(r.content)) as zf:
+                with zf.open(zf.namelist()[0]) as f:
+                    webfr = pd.read_csv(f, low_memory=False)
+
+                    webfr.to_csv(filename)
+
+        return webfr
+
+def match_webfire_to_nei(nei_data, webfr):
+        """
+        Match WebFire EF data to NEI data
+
+        Parameters
+        ----------
+        nei_data : pandas.DataFrame
+            NEI emissions data
+
+        webfr : pandas.DataFrame
+            WebFires Emissions Factors
+
+        Returns
+        -------
+        nei_emiss : pandas.DataFrame
+        """
+
+        # remove duplicate EFs for the same pollutant and SCC; keep max EF
+        webfr = webfr.sort_values('FACTOR').drop_duplicates(
+            subset=['SCC', 'NEI_POLLUTANT_CODE'], keep='last'
+            )
+
+        # use only NEI emissions of PM, CO, NOX, SOX, VOC, or CH4
+        nei_emiss = nei_data[
+            nei_data.pollutant_code.str.contains('PM|CO2|CO|NOX|NO3|SO2|VOC|CH4')
+            ].copy()
+
+        nei_emiss = pd.merge(
+            nei_emiss,
+            webfr[['SCC', 'NEI_POLLUTANT_CODE', 'FACTOR', 'UNIT', 'MEASURE',
+                   'MATERIAL', 'ACTION']],
+            left_on=['scc', 'pollutant_code'],
+            right_on=['SCC', 'NEI_POLLUTANT_CODE'],
+            how='left'
+            )
+
+        nei_emiss.rename(columns={'SCC': 'SCC_web'}, inplace=True)
+
+        return nei_emiss
+
+
 class NEI ():
     """
     Calculates unit throughput and energy input (later op hours?) from
@@ -315,53 +463,6 @@ def check_estimates(self, df):
 
         return df
 
-    @staticmethod
-    def match_partial(full_list, partial_list):
-        """
-        The NEI file point_678910.csv contains truncated values for
-        unit types and calculation methods. This method creates a dictionary
-        that has approximate matches to each set of values based on the
-        point_12345.csv file. These are approximate matches because the
-        truncated values may have multiple matches (e.g., 'S/L/T Emis' matches
-        'S/L/T Emission Factor (no Control Efficiency used)' and
-        'S/L/T Emission Factor (pre-control) plus Control Efficiency'.
-
-        Parameters
-        ----------
-        full_list : list of str
-            List of complete unit types or calculation methods
-
-        partial_list : list of str
-            List of truncated unit types or calculation methods
-
-        Returns
-        -------
-        matching_dict : dictionary of str
-            Dictionary of {partial: match}.
-
-        """
-
-        matching_dict = {}
-
-        for k in partial_list:
-            len_k = len(k)
-            matches = [k == v[0:len_k] for v in full_list]
-            m_index = [i for i, val in enumerate(matches) if val]
-
-            try:
-                full = full_list[m_index[0]]  # use first match
-
-            except IndexError:
-                continue
-
-            else:
-                if full == k:
-                    continue
-
-                else:
-                    matching_dict[k] = full
-
-        return matching_dict
 
     def load_nei_data(self,year):
         """
@@ -448,15 +549,15 @@ def load_nei_data(self,year):
                         nei_data = nei_data.append(data, sort=False)
 
                         if partial_unit and full_unit:
-                            unit_matches = NEI.match_partial(full_unit, partial_unit)
+                            unit_matches = match_partial(full_unit, partial_unit)
                             nei_data.replace({'unit_type': unit_matches}, inplace=True)
 
                         if partial_method and full_method:
-                            meth_matches = NEI.match_partial(full_method, partial_method)
+                            meth_matches = match_partial(full_method, partial_method)
                             nei_data.replace({'calculation_method': meth_matches}, inplace=True)
 
-                        #unit_matches = NEI.match_partial(full_unit, partial_unit)
-                        #meth_matches = NEI.match_partial(full_method, partial_method)
+                        #unit_matches = match_partial(full_unit, partial_unit)
+                        #meth_matches = match_partial(full_method, partial_method)
 
                         #nei_data.replace({'unit_type': unit_matches}, inplace=True)
                         #nei_data.replace({'calculation_method': meth_matches}, inplace=True)
@@ -516,44 +617,6 @@ def load_nei_data(self,year):
 
         return nei_data
 
-    def load_webfires(self):
-        """
-        Load all EPA WebFire emissions factors, downloading from
-        https://www.epa.gov/electronic-reporting-air-emissions/webfire
-        if necessary.
-
-        Returns
-        -------
-        webfr : pandas.DataFrame
-            EPA WebFire emissions factors. 
-        """
-
-        if self._webfires_data_path.exists():
-
-            logging.info('Reading WebFire data from csv')
-
-            webfr = pd.read_csv(self._webfires_data_path, low_memory=False)
-
-        else:
-
-            logging.info(
-                'Downloading WebFire data; writing webfirefactors.csv'
-                )
-                
-            Path.mkdir(self._webfires_data_path.parents[0])
-
-            r = requests.get(
-                'https://cfpub.epa.gov/webfire/download/webfirefactors.zip'
-                )
-
-            with zipfile.ZipFile(BytesIO(r.content)) as zf:
-                with zf.open(zf.namelist()[0]) as f:
-                    webfr = pd.read_csv(f, low_memory=False)
-
-                    webfr.to_csv(self._webfires_data_path)
-
-        return webfr
-
     def load_unit_conversions(self):
         """
         Load unit conversions and fuel dictionary
@@ -564,29 +627,7 @@ def load_unit_conversions(self):
 
         return unit_conv
 
-    def load_scc_unittypes(self):
-        """
-        Load unit types (and fuel types) gleaned from SCC data.
-
-        Returns
-        -------
-        iden_scc : pandas.DataFrame
-            SCC codes with identified unit types and fuel types.
-
-        """
-
-        iden_scc = pd.read_csv(self._scc_units_path, index_col=0)
-        iden_scc.reset_index(drop=True, inplace=True)
-
-        iden_scc.loc[:, 'SCC'] = iden_scc.SCC.astype('int64')
-
-        iden_scc.rename(columns={
-            'unit_type': 'scc_unit_type',
-            'fuel_type': 'scc_fuel_type'}, inplace=True
-            )
 
-        return iden_scc
-    
     def extract_ghg_emissions(self, nei_data):
         """
         Capture GHG emissions (i.e., CO2, CH4, N2O)
@@ -928,46 +969,6 @@ def detect_and_fix_ef_outliers(self, nei_data):
 
         return nei_data
 
-    def match_webfire_to_nei(self, nei_data, webfr):
-        """
-        Match WebFire EF data to NEI data
-
-        Parameters
-        ----------
-        nei_data : pandas.DataFrame
-            NEI emissions data
-
-        webfr : pandas.DataFrame
-            WebFires Emissions Factors
-
-        Returns
-        -------
-        nei_emiss : pandas.DataFrame
-        """
-
-        # remove duplicate EFs for the same pollutant and SCC; keep max EF
-        webfr = webfr.sort_values('FACTOR').drop_duplicates(
-            subset=['SCC', 'NEI_POLLUTANT_CODE'], keep='last'
-            )
-
-        # use only NEI emissions of PM, CO, NOX, SOX, VOC, or CH4
-        nei_emiss = nei_data[
-            nei_data.pollutant_code.str.contains('PM|CO2|CO|NOX|NO3|SO2|VOC|CH4')
-            ].copy()
-
-        nei_emiss = pd.merge(
-            nei_emiss,
-            webfr[['SCC', 'NEI_POLLUTANT_CODE', 'FACTOR', 'UNIT', 'MEASURE',
-                   'MATERIAL', 'ACTION']],
-            left_on=['scc', 'pollutant_code'],
-            right_on=['SCC', 'NEI_POLLUTANT_CODE'],
-            how='left'
-            )
-
-        nei_emiss.rename(columns={'SCC': 'SCC_web'}, inplace=True)
-
-        return nei_emiss
-    
     #TODO refactor 
     def unit_type_selection(self, series):
         """
@@ -1887,10 +1888,10 @@ def main(self):
         logging.info("Getting NEI data...")
         #initialize year argument
         nei_data = nei.load_nei_data(year=str(2020))
-        iden_scc = nei.load_scc_unittypes()
-        webfr = nei.load_webfires()
+        iden_scc = load_scc_unittypes(nei._scc_units_path)
+        webfr = load_webfires(nei._webfires_data_path)
         logging.info("Merging WebFires data...")
-        nei_char = nei.match_webfire_to_nei(nei_data, webfr)
+        nei_char = match_webfire_to_nei(nei_data, webfr)
         logging.info("Merging SCC data...")
         logging.info("Assigning unit and fuel types...")
         nei_char = nei.assign_types(nei_char, iden_scc)
diff --git a/pixi.lock b/pixi.lock
index b30b5a0..62adf04 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -10,53 +10,56 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.13-hb9d3cd8_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/arrow-cpp-9.0.0-py39h85af5f1_50_cpu.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.8-h166bdaf_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/arrow-cpp-9.0.0-py39hb256316_16_cpu.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-25.1.0-pyh71513ae_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.8-hcf8cf63_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.9-h5d48c4d_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.10-hd590300_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.17-h7f92143_7.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.3.2-h0bcb0bb_8.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.7.15-hd268abd_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.13.36-hb3b01f7_3.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.10.0-hbafccad_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.4.6-h47b1690_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.13-h7f92143_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.17-h7f92143_6.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.25.0-hfa7cc67_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.210-h0853bfa_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-core-cpp-1.10.3-h91d86a7_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-blobs-cpp-12.10.0-h00ab1b0_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/azure-storage-common-cpp-12.5.0-hb858b4b_2.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.6.21-hd93a3ba_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.5.20-hd3b2fe5_3.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.5-h166bdaf_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.16-hf5f93bc_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-event-stream-0.2.17-h57874a7_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.7.0-h96ef541_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.13.12-h57ca295_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-mqtt-0.7.13-h0b5698f_12.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.2.1-h5d7e488_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.7-hf5f93bc_0.tar.bz2
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.14-h6027aba_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.18.16-h26430d7_8.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.9.379-h56135f1_7.conda
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   - zstd >=1.5.5,<1.6.0a0
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   - snappy >=1.1.10,<1.2.0a0
   - zstd >=1.5.5,<1.6.0a0
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   license_family: BSD
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   - vc14_runtime >=14.29.30139
   - zstd >=1.5.5,<1.6.0a0
+  arch: x86_64
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   license: BSD-3-Clause
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   timestamp: 1660586705876
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+  - libbrotlicommon 1.0.9 hcfcfb64_9
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   md5: 19f3a56f68d2fd06c516076bff482c52
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   md5: 3569d6a9141adc64d2fe4797f3289e06
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   md5: 5304a31607974dfc2110dfbb662ed092
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   - libstdcxx >=13
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   - libgcc >=13
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   timestamp: 1723629552895
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+  - liblapack =3.9.0=31*_openblas
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+  platform: osx
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
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-  md5: 3d674200e7a1ee1561894501f81f821f
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-  - mkl >=2024.2.2,<2025.0a0
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-  - liblapacke =3.9.0=29*_mkl
-  - liblapack =3.9.0=29*_mkl
-  - blas =2.129=mkl
+  - blas =2.131=mkl
+  - liblapacke =3.9.0=31*_mkl
+  - liblapack =3.9.0=31*_mkl
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   license: BSD-3-Clause
-  license_family: BSD
   purls: []
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   - libgcc-ng >=12
   - libllvm15 >=15.0.7,<15.1.0a0
   - libstdcxx-ng >=12
+  arch: x86_64
+  platform: linux
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   - zstd >=1.5.5,<1.6.0a0
+  arch: x86_64
+  platform: win
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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   - libgcc-ng >=12
   - libllvm15 >=15.0.7,<15.1.0a0
   - libstdcxx-ng >=12
+  arch: x86_64
+  platform: linux
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   - zstd >=1.5.5,<1.6.0a0
+  arch: x86_64
+  platform: win
   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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   - libstdcxx-ng >=9.4.0
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   license: BSD-3-Clause
   license_family: BSD
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   depends:
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+  platform: osx
   license: BSD-3-Clause
   license_family: BSD
   purls: []
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   - vs2015_runtime >=14.16.27012
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+  platform: win
   license: BSD-3-Clause
   license_family: BSD
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   timestamp: 1633684287072
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   - libstdcxx-ng >=12
   - libzlib >=1.2.13,<2.0.0a0
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   license: Apache-2.0
   license_family: Apache
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   license: curl
   license_family: MIT
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   license: MIT
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   - libgcc >=13
   - ncurses >=6.5,<7.0a0
+  arch: x86_64
+  platform: linux
   license: BSD-2-Clause
   license_family: BSD
   purls: []
@@ -6665,6 +7271,8 @@ packages:
   - ncurses
   - __osx >=11.0
   - ncurses >=6.5,<7.0a0
+  arch: arm64
+  platform: osx
   license: BSD-2-Clause
   license_family: BSD
   purls: []
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   license: BSD-2-Clause
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+  - openssl >=1.1.1l,<1.1.2a
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   - libgcc >=13
   constrains:
   - expat 2.6.4.*
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -6742,6 +7347,8 @@ packages:
   - __osx >=11.0
   constrains:
   - expat 2.6.4.*
+  arch: arm64
+  platform: osx
   license: MIT
   license_family: MIT
   purls: []
@@ -6756,6 +7363,8 @@ packages:
   - vc14_runtime >=14.29.30139
   constrains:
   - expat 2.6.4.*
+  arch: x86_64
+  platform: win
   license: MIT
   license_family: MIT
   purls: []
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   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
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   license: MIT
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   - libstdcxx-ng >=12
+  arch: x86_64
+  platform: linux
   license: BSD-3-Clause
   license_family: BSD
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   - libgcc-ng ==14.2.0=*_1
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only WITH GCC-exception-3.1
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   timestamp: 1729027721139
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+  platform: linux
+  license: LGPL-2.1-or-later AND GPL-2.0-or-later
+  purls: []
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+  platform: linux
+  license: LGPL-2.1-or-later
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-lib-1.11.0-hb9d3cd8_2.conda
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   - libgcc >=13
   - libgpg-error >=1.51,<2.0a0
+  arch: x86_64
+  platform: linux
   license: LGPL-2.1-or-later
   purls: []
   size: 586185
   timestamp: 1732523190369
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.8.4-h9323651_0.conda
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-  md5: f0444ecc68c3f7d0855c9dd6bc3424a7
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-tools-1.11.0-hb9d3cd8_2.conda
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+  - libgpg-error >=1.51,<2.0a0
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+  platform: linux
+  license: GPL-2.0-or-later
+  license_family: GPL
+  purls: []
+  size: 33257
+  timestamp: 1732523208992
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libgdal-3.6.2-hf452d97_5.conda
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-  - zstd >=1.5.5,<1.6.0a0
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+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
-  size: 11090543
-  timestamp: 1708279552744
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgdal-3.8.4-ha86f356_0.conda
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-  - kealib >=1.5.3,<1.6.0a0
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   license: MIT
   license_family: MIT
   purls: []
-  size: 8525451
-  timestamp: 1708280934006
-- conda: https://conda.anaconda.org/conda-forge/win-64/libgdal-3.8.1-h70e2fc3_4.conda
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   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
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-  - zstd >=1.5.5,<1.6.0a0
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+  arch: x86_64
+  platform: win
   license: MIT
   license_family: MIT
   purls: []
-  size: 8630196
-  timestamp: 1702309803727
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+  timestamp: 1674117129551
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libgettextpo-0.23.1-h5888daf_0.conda
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   md5: a09ce5decdef385bcce78c32809fa794
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   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
@@ -7024,6 +7678,8 @@ packages:
   - __osx >=11.0
   - libiconv >=1.17,<2.0a0
   - libintl 0.23.1 h493aca8_0
+  arch: arm64
+  platform: osx
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
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   - libiconv >=1.17,<2.0a0
   - libintl 0.22.5 h5728263_3
+  arch: x86_64
+  platform: win
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
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   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - libgettextpo 0.23.1 h5888daf_0
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
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   - libiconv >=1.17,<2.0a0
   - libintl 0.23.1 h493aca8_0
+  arch: arm64
+  platform: osx
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
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   - libiconv >=1.17,<2.0a0
   - libintl 0.22.5 h5728263_3
+  arch: x86_64
+  platform: win
   license: GPL-3.0-or-later
   license_family: GPL
   purls: []
@@ -7084,6 +7748,8 @@ packages:
   - libgfortran5 14.2.0 hd5240d6_1
   constrains:
   - libgfortran-ng ==14.2.0=*_1
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
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   md5: 4a55d9e169114b2b90d3ec4604cd7bbf
   depends:
   - libgfortran5 13.2.0 hf226fd6_3
+  arch: arm64
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   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
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   md5: 0a7f4cd238267c88e5d69f7826a407eb
   depends:
   - libgfortran 14.2.0 h69a702a_1
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
@@ -7116,6 +7786,8 @@ packages:
   - libgcc >=14.2.0
   constrains:
   - libgfortran 14.2.0
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
@@ -7128,14 +7800,16 @@ packages:
   - llvm-openmp >=8.0.0
   constrains:
   - libgfortran 5.0.0 13_2_0_*_3
+  arch: arm64
+  platform: osx
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
   size: 997381
   timestamp: 1707330687590
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libglib-2.78.4-h783c2da_0.conda
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-  md5: d86baf8740d1a906b9716f2a0bac2f2d
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   - libstdcxx-ng >=12
   - libzlib >=1.2.13,<2.0.0a0
-  - pcre2 >=10.42,<10.43.0a0
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-  - glib 2.78.4 *_0
+  - glib 2.78.1 *_0
+  arch: x86_64
+  platform: linux
   license: LGPL-2.1-or-later
   purls: []
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+  - libcxx >=16.0.6
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   - libiconv >=1.17,<2.0a0
   - libzlib >=1.2.13,<2.0.0a0
-  - pcre2 >=10.42,<10.43.0a0
+  - pcre2 >=10.40,<10.41.0a0
   constrains:
-  - glib 2.78.4 *_0
+  - glib 2.78.1 *_0
+  arch: arm64
+  platform: osx
   license: LGPL-2.1-or-later
   purls: []
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libglib-2.78.4-h16e383f_0.conda
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   - libiconv >=1.17,<2.0a0
   - libzlib >=1.2.13,<2.0.0a0
-  - pcre2 >=10.42,<10.43.0a0
+  - pcre2 >=10.40,<10.41.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   constrains:
-  - glib 2.78.4 *_0
+  - glib 2.78.1 *_0
+  arch: x86_64
+  platform: win
   license: LGPL-2.1-or-later
   purls: []
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libgomp-14.2.0-h1383e82_1.conda
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+  md5: cc3573974587f12dda90d96e3e55a702
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-  - libwinpthread >=12.0.0.r4.gg4f2fc60ca
-  constrains:
-  - msys2-conda-epoch <0.0a0
+  - _libgcc_mutex 0.1 conda_forge
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only WITH GCC-exception-3.1
   license_family: GPL
   purls: []
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libgoogle-cloud-2.5.0-h5d50b59_1.conda
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-  - libabseil >=20230802.1,<20230803.0a0
+  - libabseil 20220623.0 cxx17*
   - libcrc32c >=1.1.2,<1.2.0a0
-  - libcurl >=8.4.0,<9.0a0
+  - libcurl >=7.86.0,<9.0a0
   - libgcc-ng >=12
-  - libgrpc >=1.59.2,<1.60.0a0
-  - libprotobuf >=4.24.4,<4.24.5.0a0
+  - libgrpc >=1.51.1,<1.52.0a0
+  - libprotobuf >=3.21.10,<3.22.0a0
   - libstdcxx-ng >=12
-  - openssl >=3.1.4,<4.0a0
+  - openssl >=1.1.1s,<1.1.2a
   constrains:
-  - google-cloud-cpp 2.12.0 *_4
+  - google-cloud-cpp 2.5.0 *_1
+  arch: x86_64
+  platform: linux
   license: Apache-2.0
   license_family: Apache
   purls: []
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-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgoogle-cloud-2.12.0-hfb399a7_4.conda
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-  md5: d62901188ab756c841cbb9a80c6c3f3c
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-  - __osx >=10.9
-  - libabseil * cxx17*
-  - libabseil >=20230802.1,<20230803.0a0
+  - libabseil 20220623.0 cxx17*
   - libcrc32c >=1.1.2,<1.2.0a0
-  - libcurl >=8.4.0,<9.0a0
-  - libcxx >=16.0.6
-  - libgrpc >=1.59.2,<1.60.0a0
-  - libprotobuf >=4.24.4,<4.24.5.0a0
-  - openssl >=3.1.4,<4.0a0
+  - libcurl >=7.86.0,<9.0a0
+  - libcxx >=14.0.6
+  - libgrpc >=1.51.1,<1.52.0a0
+  - libprotobuf >=3.21.10,<3.22.0a0
+  - openssl >=1.1.1s,<1.1.2a
   constrains:
-  - google-cloud-cpp 2.12.0 *_4
+  - google-cloud-cpp 2.5.0 *_1
+  arch: arm64
+  platform: osx
   license: Apache-2.0
   license_family: Apache
   purls: []
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-- conda: https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-2.12.0-hbc1b25b_1.conda
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-  md5: 204576c98cf2226c0423c6eeb387889e
+  size: 5471596
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+- conda: https://conda.anaconda.org/conda-forge/win-64/libgoogle-cloud-2.5.0-hd139671_1.conda
+  sha256: 4a9ea2ff2743a56976752ca600166aeeb034c6cc1771e06aad6b099e698ef152
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   depends:
-  - libabseil * cxx17*
-  - libabseil >=20230125.3,<20230126.0a0
+  - libabseil 20220623.0 cxx17*
   - libcrc32c >=1.1.2,<1.2.0a0
-  - libcurl >=8.1.2,<9.0a0
-  - libgrpc >=1.56.0,<1.57.0a0
-  - libprotobuf >=4.23.3,<4.23.4.0a0
-  - openssl >=3.1.1,<4.0a0
+  - libcurl >=7.86.0,<9.0a0
+  - libgrpc >=1.51.1,<1.52.0a0
+  - libprotobuf >=3.21.10,<3.22.0a0
+  - openssl >=1.1.1s,<1.1.2a
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vs2015_runtime >=14.29.30139
   constrains:
-  - google-cloud-cpp 2.12.0 *_1
+  - google-cloud-cpp 2.5.0 *_1
+  arch: x86_64
+  platform: win
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 13228
-  timestamp: 1688283247784
+  size: 11738
+  timestamp: 1670358036122
 - conda: https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.51-hbd13f7d_1.conda
   sha256: 9e0c09c1faf2151ade3ccb64e52d3c1f2dde85c00e37c6a3e6a8bced2aba68be
   md5: 168cc19c031482f83b23c4eebbb94e26
@@ -7264,116 +7947,118 @@ packages:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - libstdcxx >=13
+  arch: x86_64
+  platform: linux
   license: LGPL-2.1-only
   license_family: GPL
   purls: []
   size: 268740
   timestamp: 1731920927644
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.59.3-hd6c4280_0.conda
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-  md5: 896c137eaf0c22f2fef58332eb4a4b83
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libgrpc-1.51.1-h05bd8bd_0.conda
+  sha256: 7fea197142a988f0b828cfd3878f7620839e1b94b20ecdb711ee3e6f83c40e9c
+  md5: da5089a661abb9a386a196b74f31677b
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-  - c-ares >=1.21.0,<2.0a0
-  - libabseil * cxx17*
-  - libabseil >=20230802.1,<20230803.0a0
+  - c-ares >=1.18.1,<2.0a0
+  - libabseil 20220623.0 cxx17*
   - libgcc-ng >=12
-  - libprotobuf >=4.24.4,<4.24.5.0a0
-  - libre2-11 >=2023.6.2
+  - libprotobuf >=3.21.10,<3.22.0a0
   - libstdcxx-ng >=12
   - libzlib >=1.2.13,<2.0.0a0
-  - openssl >=3.1.4,<4.0a0
-  - re2
+  - openssl >=1.1.1s,<1.1.2a
+  - re2 >=2022.6.1,<2022.6.2.0a0
+  - zlib
   constrains:
-  - grpc-cpp =1.59.3
+  - grpc-cpp =1.51.1
+  arch: x86_64
+  platform: linux
   license: Apache-2.0
   license_family: APACHE
   purls: []
-  size: 6600132
-  timestamp: 1700259627150
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libgrpc-1.59.3-h9560976_0.conda
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+  md5: 76576e638a890d69ba89966a5f37badd
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-  - libabseil * cxx17*
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-  - libcxx >=16
-  - libprotobuf >=4.24.4,<4.24.5.0a0
-  - libre2-11 >=2023.6.2
+  - c-ares >=1.18.1,<2.0a0
+  - libabseil 20220623.0 cxx17*
+  - libcxx >=14.0.6
+  - libprotobuf >=3.21.10,<3.22.0a0
   - libzlib >=1.2.13,<2.0.0a0
-  - openssl >=3.2.1,<4.0a0
-  - re2
+  - openssl >=1.1.1s,<1.1.2a
+  - re2 >=2022.6.1,<2022.6.2.0a0
+  - zlib
   constrains:
-  - grpc-cpp =1.59.3
+  - grpc-cpp =1.51.1
+  arch: arm64
+  platform: osx
   license: Apache-2.0
   license_family: APACHE
   purls: []
-  size: 4762221
-  timestamp: 1707753843245
-- conda: https://conda.anaconda.org/conda-forge/win-64/libgrpc-1.56.2-hea2d5f7_1.conda
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-  - libprotobuf >=4.23.3,<4.23.4.0a0
+  - c-ares >=1.18.1,<2.0a0
+  - libabseil 20220623.0 cxx17*
+  - libprotobuf >=3.21.10,<3.22.0a0
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-  - openssl >=3.1.2,<4.0a0
-  - re2 >=2023.3.2,<2023.3.3.0a0
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   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - vs2015_runtime >=14.29.30139
+  - zlib
   constrains:
-  - grpc-cpp =1.56.2
+  - grpc-cpp =1.51.1
+  arch: x86_64
+  platform: win
   license: Apache-2.0
   license_family: APACHE
   purls: []
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.11.2-default_he43201b_1000.conda
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+  - pthreads-win32
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   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: BSD-3-Clause
   license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h4ce23a2_0.conda
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+  md5: 0743bcd51fc4e6e0367e0aaf41e9bebc
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-  - libgcc-ng >=12
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: LGPL-2.1-only
   purls: []
-  size: 705775
-  timestamp: 1702682170569
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libiconv-1.17-h0d3ecfb_2.conda
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-  md5: 69bda57310071cf6d2b86caf11573d2d
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+  timestamp: 1739866934640
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libiconv-1.18-hfe07756_0.conda
+  sha256: a7e7b90bcf2680e447aa9a17ccbebb07089d4b63d5ab53eb1cd8ddeafb4701c3
+  md5: b0e471d5d174dbbb37ff4d91647de3c0
+  depends:
+  - __osx >=11.0
+  arch: arm64
+  platform: osx
   license: LGPL-2.1-only
   purls: []
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-  timestamp: 1702682458114
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 - conda: https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-hcfcfb64_2.conda
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   md5: e1eb10b1cca179f2baa3601e4efc8712
@@ -7381,6 +8066,8 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: LGPL-2.1-only
   purls: []
   size: 636146
@@ -7391,6 +8078,8 @@ packages:
   depends:
   - __osx >=11.0
   - libiconv >=1.17,<2.0a0
+  arch: arm64
+  platform: osx
   license: LGPL-2.1-or-later
   purls: []
   size: 78921
@@ -7400,6 +8089,8 @@ packages:
   md5: 2cf0cf76cc15d360dfa2f17fd6cf9772
   depends:
   - libiconv >=1.17,<2.0a0
+  arch: x86_64
+  platform: win
   license: LGPL-2.1-or-later
   purls: []
   size: 95568
@@ -7411,6 +8102,8 @@ packages:
   - __osx >=11.0
   - libiconv >=1.17,<2.0a0
   - libintl 0.23.1 h493aca8_0
+  arch: arm64
+  platform: osx
   license: LGPL-2.1-or-later
   purls: []
   size: 39774
@@ -7421,43 +8114,12 @@ packages:
   depends:
   - libiconv >=1.17,<2.0a0
   - libintl 0.22.5 h5728263_3
+  arch: x86_64
+  platform: win
   license: LGPL-2.1-or-later
   purls: []
   size: 40746
   timestamp: 1723629745649
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda
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-  md5: ea25936bb4080d843790b586850f82b8
-  depends:
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-  license: IJG AND BSD-3-Clause AND Zlib
-  purls: []
-  size: 618575
-  timestamp: 1694474974816
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/libjpeg-turbo-3.0.0-hb547adb_1.conda
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-  md5: 3ff1e053dc3a2b8e36b9bfa4256a58d1
-  constrains:
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-  license: IJG AND BSD-3-Clause AND Zlib
-  purls: []
-  size: 547541
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   - uriparser >=0.9.8,<1.0a0
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   - libzlib >=1.3.1,<2.0a0
   - uriparser >=0.9.8,<1.0a0
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   - vc14_runtime >=14.29.30139
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   timestamp: 1724667610262
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-  - zstd >=1.5.5,<1.6.0a0
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   license: Apache-2.0 WITH LLVM-exception
   license_family: Apache
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.4-hb9d3cd8_0.conda
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   md5: 42d5b6a0f30d3c10cd88cb8584fda1cb
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   - libgcc >=13
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   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
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   - liblzma 5.6.4 hb9d3cd8_0
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   - liblzma 5.6.4 h39f12f2_0
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   - vc14_runtime >=14.29.30139
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   size: 126091
   timestamp: 1738525583264
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   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
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   license: BSD-3-Clause
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   license: BSD-3-Clause
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-  - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
+  - libzlib >=1.2.12,<2.0.0a0
+  - openssl >=1.1.1q,<1.1.2a
+  - vc >=14.1,<15
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   license: BSD-3-Clause
   license_family: BSD
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@@ -8567,6 +9317,8 @@ packages:
   - libgcc >=13
   constrains:
   - zlib 1.3.1 *_2
+  arch: x86_64
+  platform: linux
   license: Zlib
   license_family: Other
   purls: []
@@ -8579,6 +9331,8 @@ packages:
   - __osx >=11.0
   constrains:
   - zlib 1.3.1 *_2
+  arch: arm64
+  platform: osx
   license: Zlib
   license_family: Other
   purls: []
@@ -8593,23 +9347,13 @@ packages:
   - vc14_runtime >=14.29.30139
   constrains:
   - zlib 1.3.1 *_2
+  arch: x86_64
+  platform: win
   license: Zlib
   license_family: Other
   purls: []
   size: 55476
   timestamp: 1727963768015
-- conda: https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-19.1.7-h024ca30_0.conda
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   - __osx >=11.0
   constrains:
   - openmp 19.1.7|19.1.7.*
+  arch: arm64
+  platform: osx
   license: Apache-2.0 WITH LLVM-exception
   license_family: APACHE
   purls: []
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   - lz4-c >=1.9.3,<1.10.0a0
   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
+  arch: x86_64
+  platform: linux
   license: BSD-3-Clause
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   - python >=3.9,<3.10.0a0
   - python >=3.9,<3.10.0a0 *_cpython
   - python_abi 3.9.* *_cp39
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   license_family: BSD
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   - vc14_runtime >=14.29.30139
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   license: BSD-3-Clause
   license_family: BSD
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   - libstdcxx-ng >=12
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+  platform: linux
   license: BSD-2-Clause
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   - vc >=14.2,<15
   - vs2015_runtime >=14.29.30139
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+  platform: win
   license: BSD-2-Clause
   license_family: BSD
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   timestamp: 1674728465431
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+  license: LGPL3
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+- conda: https://conda.anaconda.org/conda-forge/win-64/m2w64-libwinpthread-git-5.0.0.4634.697f757-2.tar.bz2
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+  md5: 774130a326dee16f1ceb05cc687ee4f0
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 - conda: https://conda.anaconda.org/conda-forge/noarch/mapclassify-2.5.0-pyhd8ed1ab_1.conda
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@@ -8768,6 +9558,8 @@ packages:
   - python_abi 3.9.* *_cp39
   constrains:
   - jinja2 >=3.0.0
+  arch: x86_64
+  platform: linux
   license: BSD-3-Clause
   license_family: BSD
   purls:
@@ -8784,6 +9576,8 @@ packages:
   - python_abi 3.9.* *_cp39
   constrains:
   - jinja2 >=3.0.0
+  arch: arm64
+  platform: osx
   license: BSD-3-Clause
   license_family: BSD
   purls:
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   - vc14_runtime >=14.29.30139
   constrains:
   - jinja2 >=3.0.0
+  arch: x86_64
+  platform: win
   license: BSD-3-Clause
   license_family: BSD
   purls:
@@ -8816,6 +9612,8 @@ packages:
   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
   - tornado >=5
+  arch: x86_64
+  platform: linux
   license: LicenseRef-PSF-2.0 and CC0-1.0
   license_family: PSF
   purls: []
@@ -8829,6 +9627,8 @@ packages:
   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
   - tornado >=5
+  arch: arm64
+  platform: osx
   license: LicenseRef-PSF-2.0 and CC0-1.0
   license_family: PSF
   purls: []
@@ -8843,6 +9643,8 @@ packages:
   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
   - tornado >=5
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   - libgcc >=13
   - libstdcxx >=13
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   license: MIT
   license_family: MIT
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   - python >=3.9,<3.10.0a0 *_cpython
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   - toml
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   license: Python-2.0
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   constrains:
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   license: BSD-3-Clause
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   license: BSD-3-Clause
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   constrains:
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   license: BSD-3-Clause
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   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
   - yaml >=0.2.5,<0.3.0a0
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
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   - python_abi 3.9.* *_cp39
   - yaml >=0.2.5,<0.3.0a0
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   license: MIT
   license_family: MIT
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   - yaml >=0.2.5,<0.3.0a0
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   license: LGPL-3.0-only
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-  - zstd >=1.5.5,<1.6.0a0
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   license: LGPL-3.0-only
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   license: BSD-3-Clause
   license_family: BSD
   purls: []
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
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   - ncurses >=6.3,<7.0a0
+  arch: x86_64
+  platform: linux
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   license_family: GPL
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   license_family: GPL
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   - python >=3.9,<3.10.0a0
   - python_abi 3.9.* *_cp39
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+  platform: linux
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   license_family: MIT
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   - python >=3.9,<3.10.0a0 *_cpython
   - python_abi 3.9.* *_cp39
+  arch: arm64
+  platform: osx
   license: MIT
   license_family: MIT
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   - python >=3.9,<3.10.0a0
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   - libgcc >=13
@@ -10637,15 +11609,17 @@ packages:
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   license_family: MIT
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   license: MIT
   license_family: MIT
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   license: Apache-2.0
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   - scipy
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+  arch: x86_64
+  platform: linux
   license: BSD-3-Clause
   license_family: BSD
   purls:
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   - scipy
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   license: BSD-3-Clause
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   license: BSD-3-Clause
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   - python_abi 3.9.* *_cp39
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   license: BSD-3-Clause
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   - python_abi 3.9.* *_cp39
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+  platform: linux
   license: MIT
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   license: BSD-3-Clause
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   - python >=3.9,<3.10.0a0 *_cpython
   - python_abi 3.9.* *_cp39
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   license: BSD-3-Clause
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-  - vc14_runtime >=14.29.30139
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   license: BSD-3-Clause
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/sip-6.7.12-py39h3d6467e_0.conda
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   - python_abi 3.9.* *_cp39
   - tomli
+  arch: x86_64
+  platform: linux
   license: GPL-3.0-only
   license_family: GPL
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   license: GPL-3.0-only
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   purls:
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   - libstdcxx-ng >=12
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+  platform: linux
   license: BSD-3-Clause
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   license: BSD-3-Clause
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   - vc14_runtime >=14.29.30139
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   license: BSD-3-Clause
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+  - libnsl >=2.0.0,<2.1.0a0
   - libstdcxx-ng >=12
+  arch: x86_64
+  platform: linux
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1636164
-  timestamp: 1703092965257
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-hf393695_0.conda
-  sha256: 8ad901a5fe535ebd16b469cf8e46cf174f7e6e4d9b432cc8cc02666a87e7e2ee
-  md5: 5e4741a1e687aee5fc9c409a0476bef2
+  size: 1831810
+  timestamp: 1666314007492
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.4-h627aa08_1.tar.bz2
+  sha256: e943238995c5b8ae18e1ef693f95142d24fd5fbf48593d927fb59fa620d0bdb5
+  md5: e690c8c477c96c9f8ad9f7c63f1f94d2
   depends:
-  - icu >=73.2,<74.0a0
-  - libcurl >=8.5.0,<9.0a0
-  - libcxx >=15
+  - icu >=70.1,<71.0a0
+  - libcurl >=7.85.0,<9.0a0
+  - libcxx >=14.0.4
+  arch: arm64
+  platform: osx
   license: Apache-2.0
   license_family: Apache
   purls: []
-  size: 1270959
-  timestamp: 1703093076013
+  size: 1431606
+  timestamp: 1666313981529
 - conda: https://conda.anaconda.org/conda-forge/win-64/xerces-c-3.2.5-he0c23c2_2.conda
   sha256: 759ae22a0a221dc1c0ba39684b0dcf696aab4132478e17e56a0366ded519e54e
   md5: 82b6eac3c198271e98b48d52d79726d8
@@ -11763,28 +12825,33 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: Apache-2.0
   license_family: Apache
   purls: []
   size: 3574017
   timestamp: 1727734520239
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.42-h4ab18f5_0.conda
-  sha256: 240caab7d9d85154ef373ecbac3ff9fb424add2029dbb124e949c6cbab2996dd
-  md5: b193af204da1bfb8c13882d131a14bd2
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.38-h0b41bf4_0.conda
+  sha256: 0518e65929deded6afc5f91f31febb15e8c93f7ee599a18b787f9fab3f79cfd6
+  md5: 9ac34337e5101a87e5d91da05d84aa48
   depends:
   - libgcc-ng >=12
-  - xorg-libx11 >=1.8.9,<2.0a0
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
-  size: 388998
-  timestamp: 1717817668629
+  size: 882013
+  timestamp: 1676563054660
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-hb9d3cd8_1003.conda
   sha256: 849555ddf7fee334a5a6be9f159d2931c9d076ffb310a9e75b9124f789049d3e
   md5: e87bfacb110d85e1eb6099c9ed8e7236
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11796,6 +12863,8 @@ packages:
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11809,31 +12878,38 @@ packages:
   - libgcc >=13
   - libuuid >=2.38.1,<3.0a0
   - xorg-libice >=1.1.2,<2.0a0
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
   size: 27198
   timestamp: 1734229639785
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.9-h8ee46fc_0.conda
-  sha256: 3e53ba247f1ad68353f18aceba5bf8ce87e3dea930de85d36946844a7658c9fb
-  md5: 077b6e8ad6a3ddb741fce2496dd01bec
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.4-h0b41bf4_0.conda
+  sha256: 3c6862a01a39cdea3870b132706ad7256824299947a3a94ae361d863d402d704
+  md5: ea8fbfeb976ac49cbeb594e985393514
   depends:
   - libgcc-ng >=12
-  - libxcb >=1.15,<1.16.0a0
+  - libxcb 1.*
+  - libxcb >=1.13,<1.14.0a0
   - xorg-kbproto
   - xorg-xextproto >=7.3.0,<8.0a0
   - xorg-xproto
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
-  size: 828060
-  timestamp: 1712415742569
+  size: 829872
+  timestamp: 1677611125385
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.12-hb9d3cd8_0.conda
   sha256: ed10c9283974d311855ae08a16dfd7e56241fac632aec3b92e3cfe73cff31038
   md5: f6ebe2cb3f82ba6c057dde5d9debe4f7
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11844,29 +12920,34 @@ packages:
   md5: 50901e0764b7701d8ed7343496f4f301
   depends:
   - __osx >=11.0
+  arch: arm64
+  platform: osx
   license: MIT
   license_family: MIT
   purls: []
   size: 13593
   timestamp: 1734229104321
-- conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.12-h0e40799_0.conda
-  sha256: 047836241b2712aab1e29474a6f728647bff3ab57de2806b0bb0a6cf9a2d2634
-  md5: 2ffbfae4548098297c033228256eb96e
+- conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxau-1.0.11-hcd874cb_0.conda
+  sha256: 8c5b976e3b36001bdefdb41fb70415f9c07eff631f1f0155f3225a7649320e77
+  md5: c46ba8712093cb0114404ae8a7582e1a
   depends:
-  - libgcc >=13
-  - libwinpthread >=12.0.0.r4.gg4f2fc60ca
-  - ucrt >=10.0.20348.0
+  - m2w64-gcc-libs
+  - m2w64-gcc-libs-core
+  arch: x86_64
+  platform: win
   license: MIT
   license_family: MIT
   purls: []
-  size: 108013
-  timestamp: 1734229474049
+  size: 51297
+  timestamp: 1684638355740
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.5-hb9d3cd8_0.conda
   sha256: 6b250f3e59db07c2514057944a3ea2044d6a8cdde8a47b6497c254520fade1ee
   md5: 8035c64cb77ed555e3f150b7b3972480
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11877,23 +12958,25 @@ packages:
   md5: 77c447f48cab5d3a15ac224edb86a968
   depends:
   - __osx >=11.0
+  arch: arm64
+  platform: osx
   license: MIT
   license_family: MIT
   purls: []
   size: 18487
   timestamp: 1727795205022
-- conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.5-h0e40799_0.conda
-  sha256: 9075f98dcaa8e9957e4a3d9d30db05c7578a536950a31c200854c5c34e1edb2c
-  md5: 8393c0f7e7870b4eb45553326f81f0ff
+- conda: https://conda.anaconda.org/conda-forge/win-64/xorg-libxdmcp-1.1.3-hcd874cb_0.tar.bz2
+  sha256: f51205d33c07d744ec177243e5d9b874002910c731954f2c8da82459be462b93
+  md5: 46878ebb6b9cbd8afcf8088d7ef00ece
   depends:
-  - libgcc >=13
-  - libwinpthread >=12.0.0.r4.gg4f2fc60ca
-  - ucrt >=10.0.20348.0
+  - m2w64-gcc-libs
+  arch: x86_64
+  platform: win
   license: MIT
   license_family: MIT
   purls: []
-  size: 69920
-  timestamp: 1727795651979
+  size: 67908
+  timestamp: 1610072296570
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.4-h0b41bf4_2.conda
   sha256: 73e5cfbdff41ef8a844441f884412aa5a585a0f0632ec901da035a03e1fe1249
   md5: 82b6df12252e6f32402b96dacc656fec
@@ -11901,29 +12984,35 @@ packages:
   - libgcc-ng >=12
   - xorg-libx11 >=1.7.2,<2.0a0
   - xorg-xextproto
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
   size: 50143
   timestamp: 1677036907815
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.11-hd590300_0.conda
-  sha256: 26da4d1911473c965c32ce2b4ff7572349719eaacb88a066db8d968a4132c3f7
-  md5: ed67c36f215b310412b2af935bf3e530
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.10-h7f98852_1003.tar.bz2
+  sha256: 7d907ed9e2ec5af5d7498fb3ab744accc298914ae31497ab6dcc6ef8bd134d00
+  md5: f59c1242cc1dd93e72c2ee2b360979eb
   depends:
-  - libgcc-ng >=12
-  - xorg-libx11 >=1.8.6,<2.0a0
+  - libgcc-ng >=9.3.0
+  - xorg-libx11 >=1.7.0,<2.0a0
   - xorg-renderproto
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
-  size: 37770
-  timestamp: 1688300707994
+  size: 32906
+  timestamp: 1614866792944
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-renderproto-0.11.1-hb9d3cd8_1003.conda
   sha256: 54dd934b0e1c942e54759eb13672fd59b7e523fabea6e69a32d5bf483e45b329
   md5: bf90782559bce8447609933a7d45995a
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11935,28 +13024,21 @@ packages:
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
   size: 30549
   timestamp: 1726846235301
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xf86vidmodeproto-2.3.1-hb9d3cd8_1005.conda
-  sha256: d3189527c5b8e1fea2a2e391012d3e8f794e03bdabe9f4457a0ac4cb8fc7214c
-  md5: 1c08f67e3406550eef135e17263f8154
-  depends:
-  - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  license: MIT
-  license_family: MIT
-  purls: []
-  size: 26134
-  timestamp: 1731320782817
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-hb9d3cd8_1008.conda
   sha256: ea02425c898d6694167952794e9a865e02e14e9c844efb067374f90b9ce8ce33
   md5: a63f5b66876bb1ec734ab4bdc4d11e86
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -11983,6 +13065,8 @@ packages:
   - liblzma-devel 5.6.4 hb9d3cd8_0
   - xz-gpl-tools 5.6.4 hbcc6ac9_0
   - xz-tools 5.6.4 hb9d3cd8_0
+  arch: x86_64
+  platform: linux
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
   purls: []
   size: 23477
@@ -11996,6 +13080,8 @@ packages:
   - liblzma-devel 5.6.4 h39f12f2_0
   - xz-gpl-tools 5.6.4 h9a6d368_0
   - xz-tools 5.6.4 h39f12f2_0
+  arch: arm64
+  platform: osx
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
   purls: []
   size: 23661
@@ -12010,6 +13096,8 @@ packages:
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
   - xz-tools 5.6.4 h2466b09_0
+  arch: x86_64
+  platform: win
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
   purls: []
   size: 23977
@@ -12021,6 +13109,8 @@ packages:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - liblzma 5.6.4 hb9d3cd8_0
+  arch: x86_64
+  platform: linux
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
   purls: []
   size: 33285
@@ -12031,6 +13121,8 @@ packages:
   depends:
   - __osx >=11.0
   - liblzma 5.6.4 h39f12f2_0
+  arch: arm64
+  platform: osx
   license: 0BSD AND LGPL-2.1-or-later AND GPL-2.0-or-later
   purls: []
   size: 33416
@@ -12042,6 +13134,8 @@ packages:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - liblzma 5.6.4 hb9d3cd8_0
+  arch: x86_64
+  platform: linux
   license: 0BSD AND LGPL-2.1-or-later
   purls: []
   size: 89735
@@ -12052,6 +13146,8 @@ packages:
   depends:
   - __osx >=11.0
   - liblzma 5.6.4 h39f12f2_0
+  arch: arm64
+  platform: osx
   license: 0BSD AND LGPL-2.1-or-later
   purls: []
   size: 81197
@@ -12064,6 +13160,8 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: 0BSD AND LGPL-2.1-or-later
   purls: []
   size: 64183
@@ -12073,6 +13171,8 @@ packages:
   md5: 4cb3ad778ec2d5a7acbdf254eb1c42ae
   depends:
   - libgcc-ng >=9.4.0
+  arch: x86_64
+  platform: linux
   license: MIT
   license_family: MIT
   purls: []
@@ -12081,6 +13181,8 @@ packages:
 - conda: https://conda.anaconda.org/conda-forge/osx-arm64/yaml-0.2.5-h3422bc3_2.tar.bz2
   sha256: 93181a04ba8cfecfdfb162fc958436d868cc37db504c58078eab4c1a3e57fbb7
   md5: 4bb3f014845110883a3c5ee811fd84b4
+  arch: arm64
+  platform: osx
   license: MIT
   license_family: MIT
   purls: []
@@ -12092,6 +13194,8 @@ packages:
   depends:
   - vc >=14.1,<15.0a0
   - vs2015_runtime >=14.16.27012
+  arch: x86_64
+  platform: win
   license: MIT
   license_family: MIT
   purls: []
@@ -12126,6 +13230,8 @@ packages:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=13
   - libzlib 1.3.1 hb9d3cd8_2
+  arch: x86_64
+  platform: linux
   license: Zlib
   license_family: Other
   purls: []
@@ -12137,6 +13243,8 @@ packages:
   depends:
   - __osx >=11.0
   - libzlib 1.3.1 h8359307_2
+  arch: arm64
+  platform: osx
   license: Zlib
   license_family: Other
   purls: []
@@ -12150,44 +13258,50 @@ packages:
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: Zlib
   license_family: Other
   purls: []
   size: 107439
   timestamp: 1727963788936
-- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.6-ha6fb4c9_0.conda
-  sha256: c558b9cc01d9c1444031bd1ce4b9cff86f9085765f17627a6cd85fc623c8a02b
-  md5: 4d056880988120e29d75bfff282e0f45
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_0.conda
+  sha256: b8f7b4c7264e84fcedce3929239f5c55e86ae90948c9fdee666f93a70ca58e66
+  md5: 3fe5420e4da42d8110c28f21de6cc127
   depends:
-  - libgcc-ng >=12
-  - libstdcxx-ng >=12
-  - libzlib >=1.2.13,<2.0.0a0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=13
+  - libstdcxx >=13
+  - libzlib >=1.3.1,<2.0a0
+  arch: x86_64
+  platform: linux
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 554846
-  timestamp: 1714722996770
-- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda
-  sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09
-  md5: d96942c06c3e84bfcc5efb038724a7fd
+  size: 564076
+  timestamp: 1740024448267
+- conda: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.7-h6491c7d_0.conda
+  sha256: ee7bbee860b437a214fbdfb4fdf9e48982dc984ad3b0bf2d6480d94c0a8fc8c4
+  md5: 0924e073d067a32ace893528773ffded
   depends:
   - __osx >=11.0
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
+  arch: arm64
+  platform: osx
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 405089
-  timestamp: 1714723101397
-- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.6-h0ea2cb4_0.conda
-  sha256: 768e30dc513568491818fb068ee867c57c514b553915536da09e5d10b4ebf3c3
-  md5: 9a17230f95733c04dc40a2b1e5491d74
+  size: 398443
+  timestamp: 1740024500479
+- conda: https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.7-hbeecb71_0.conda
+  sha256: 0d162df20a547072234b2716bc7b5f8e8d111f70a2eff29b739761d49c63d135
+  md5: bac46723604a91de9471a5e72f4f9767
   depends:
-  - libzlib >=1.2.13,<2.0.0a0
+  - libzlib >=1.3.1,<2.0a0
   - ucrt >=10.0.20348.0
   - vc >=14.2,<15
   - vc14_runtime >=14.29.30139
+  arch: x86_64
+  platform: win
   license: BSD-3-Clause
-  license_family: BSD
   purls: []
-  size: 349143
-  timestamp: 1714723445995
+  size: 352853
+  timestamp: 1740024721160
diff --git a/pyproject.toml b/pyproject.toml
index 2a74b60..015927f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,5 +1,11 @@
 [project]
-authors = [{name = "Gui Castelao", email = "guilherme@castelao.net"}]
+authors = [
+  {name = "Colin McMillan"},
+  {name = "Gui Castelao", email = "gpimenta@nrel.gov"}
+	]
+maintainers = [
+  {name = "Gui Castelao", email = "gpimenta@nrel.gov"}
+	]
 dependencies = []
 description = "Add a short description here"
 name = "fied"
@@ -20,6 +26,7 @@ fied = { path = ".", editable = true }
 [tool.pixi.tasks]
 
 [tool.pixi.dependencies]
+python = "~=3.9.0"
 dask = ">=2023.2.0,<2024"
 geopandas = "==0.12.1"
 matplotlib = "==3.6.2"
@@ -32,7 +39,8 @@ pyxlsb = "==1.0.10"
 requests = "==2.28.1"
 seaborn = "==0.12.1"
 scikit-learn = "==1.1.3"
-python = "~=3.9.18"
+openpyxl = "==3.0.10"
+cryptography = "==36.0.2"
 
 [tool.pixi.environments]
 default = { solve-group = "default" }
@@ -124,3 +132,6 @@ max-doc-length = 72
 convention = "numpy"
 
 [tool.ruff.lint.per-file-ignores]
+"fied/nei/nei_EF_calculations.py" = [
+  "SLF001" # private-member-access
+  ]