diff --git a/pepsico/README.md b/pepsico/README.md
index 72002d35..bfa35f6f 100644
--- a/pepsico/README.md
+++ b/pepsico/README.md
@@ -2,42 +2,20 @@
 
 # Installation and Run Instructions
 
-## Creating a conda environment with this project's dependencies
+## Get Shapefiles
 
-* see enacts' README
+* Get the GAUL 2015 levels 0 and 1 from FAO at `https://data.apps.fao.org/catalog/organization/administrative-boundaries-fao?__cf_chl_f_tk=OgUUh7I4P2USfARHuVjb3Rfoqf7aqn2I9Rk18Y390T8-1782743011-1.0.1.1-K6UEdWxnYz2bczx3DjVit2KF0TaXe9b3nV.wnhusfMQ`
 
 ## Running the application in a development environment
 
-* Activate the environment
-
-    `conda activate enactsmaproom`
-
-* Create a development configuration file by copying `config-dev-sample.yaml` to `config-dev.yaml` and editing it as needed. Note that `config-dev.yaml` is in the `.gitignore` file so you won't accidentally commit changes that are specific to your development environment.
+* Create a development configuration file by copying `config-dev-sample.yaml` to `config-dev.yaml` and editing it as needed, in particular to overwrite the default configuration values set in `config-defaults.yaml` such as data files paths and names. Note that `config-dev.yaml` is in the `.gitignore` file so you won't accidentally commit changes that are specific to your development environment.
 
 * Start the development server using your development config file, e.g.:
 
-    `CONFIG=config-dev.yaml python app.py`
+    `CONFIG=config-dev.yaml pixi run python app.py`
 
 * Navigate your browser to the URL that is displayed when the server starts, e.g. `http://127.0.0.1:8050/python_maproom/`
 
 * When done using the server stop it with CTRL-C.
 
-# Development Overview
-
-see enacts' README
-
-## Adding or removing dependencies
-
-see enacts' README
-
-## Building the documentation
-
-see enacts' README
-
-# Docker Build Instructions
-
-TBD
-
-# Support
 
-* `help@iri.columbia.edu`
diff --git a/pepsico/config-defaults.yaml b/pepsico/config-defaults.yaml
index 22c64500..c909a870 100644
--- a/pepsico/config-defaults.yaml
+++ b/pepsico/config-defaults.yaml
@@ -14,75 +14,141 @@ datasets:
     shapes_adm_US-CA:
         - name: CA-US-MX
           color: black
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (46, 162, 259)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (46, 162, 259)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (46, 162, 259)
+          tolerance: 0.0025
           is_checked: True
         - name: Countries
           color: black
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (9, 11, 20, 28, 30, 32, 39, 46, 48, 63, 71, 72, 98, 100, 103, 108, 111, 123, 162, 168, 174, 176, 180, 200, 208, 210, 251, 258, 259)
+        #  sql: select adm0_code as key, adm0_name as label,
+        #    ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+        #    from g2015_2012_0 where adm0_code in (9, 11, 20, 28, 30, 32, 39, 46, 48, 63, 71, 72, 98, 100, 103, 108, 111, 123, 162, 168, 174, 176, 180, 200, 208, 210, 251, 258, 259)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (9, 11, 20, 28, 30, 32, 39, 46, 48, 63, 71, 72, 98, 100, 103, 108, 111, 123, 162, 168, 174, 176, 180, 200, 208, 210, 251, 258, 259)
+          tolerance: 0.0025
           is_checked: True
         - name: States
           color: grey
-          sql: select (adm0_code, adm1_code) as key, adm1_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2014_1 where adm0_code in (46, 162, 259)
+        #  sql: select (adm0_code, adm1_code) as key, adm1_name as label,
+        #    ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+        #    from g2015_2014_1 where adm0_code in (46, 162, 259)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_1/g2015_2014_1.shp
+          geom: geometry
+          label: ADM1_NAME
+          selector: ADM0_CODE
+          selected: (46, 162, 259)
+          tolerance: 0.0025
           is_checked: True
     
     shapes_adm_SAMER:
         - name: National
           color: black
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          tolerance: 0.0025
           is_checked: True
         - name: States
           color: grey
-          sql: select (adm0_code, adm1_code) as key, adm1_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2014_1 where adm0_code in (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          #sql: select (adm0_code, adm1_code) as key, adm1_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2014_1 where adm0_code in (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_1/g2015_2014_1.shp
+          geom: geometry
+          label: ADM1_NAME
+          selector: ADM0_CODE
+          selected: (12, 14, 24, 32, 33, 37, 51, 57, 61, 71, 73, 81, 86, 99, 100, 107, 111, 158, 176, 180, 191, 194, 195, 209, 211, 228, 233, 246, 260, 263)
+          tolerance: 0.0025
           is_checked: True
     
     shapes_adm_SASIA:
         - name: India-Pakistan
           color: black
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (115, 188)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (115, 188)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (115, 188)
+          tolerance: 0.0025
           is_checked: True
         - name: National
           color: grey
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (1, 2, 15, 23, 31, 52, 117, 132, 138, 154, 171, 175, 187, 231, 239, 250)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (1, 2, 15, 23, 31, 52, 117, 132, 138, 154, 171, 175, 187, 231, 239, 250)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (1, 2, 15, 23, 31, 52, 117, 132, 138, 154, 171, 175, 187, 231, 239, 250)
+          tolerance: 0.0025
           is_checked: True
         - name: States
           color: grey
-          sql: select (adm0_code, adm1_code) as key, adm1_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2014_1 where adm0_code in (115, 188)
+          #sql: select (adm0_code, adm1_code) as key, adm1_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2014_1 where adm0_code in (115, 188)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_1/g2015_2014_1.shp
+          geom: geometry
+          label: ADM1_NAME
+          selector: ADM0_CODE
+          selected: (115, 188)
+          tolerance: 0.0025
           is_checked: True
     
     shapes_adm_Thailand:
         - name: Thailand-Vietnam
           color: black
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (240, 264)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (240, 264)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (240, 264)
+          tolerance: 0.0025
           is_checked: True
         - name: National
           color: grey
-          sql: select adm0_code as key, adm0_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2012_0 where adm0_code in (15, 23, 31, 40, 44, 115, 116, 139, 149, 153, 171, 175, 183, 230)
+          #sql: select adm0_code as key, adm0_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2012_0 where adm0_code in (15, 23, 31, 40, 44, 115, 116, 139, 149, 153, 171, 175, 183, 230)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_0/g2015_2014_0.shp
+          geom: geometry
+          label: ADM0_NAME
+          selector: ADM0_CODE
+          selected: (15, 23, 31, 40, 44, 115, 116, 139, 149, 153, 171, 175, 183, 230)
+          tolerance: 0.0025
           is_checked: True
         - name: States
           color: grey
-          sql: select (adm0_code, adm1_code) as key, adm1_name as label,
-            ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
-            from g2015_2014_1 where adm0_code in (240, 264)
+          #sql: select (adm0_code, adm1_code) as key, adm1_name as label,
+          #  ST_AsBinary(ST_SimplifyPreserveTopology(coarse_geom, 0.0025)) as the_geom
+          #  from g2015_2014_1 where adm0_code in (240, 264)
+          path: /data/remic/mydatafiles/pepsico/g2015_2014_1/g2015_2014_1.shp
+          geom: geometry
+          label: ADM1_NAME
+          selector: ADM0_CODE
+          selected: (240, 264)
+          tolerance: 0.0025
           is_checked: True
 
 maprooms:
diff --git a/pepsico/config-dev-sample.yaml b/pepsico/config-dev-sample.yaml
index c361213a..742b123a 100644
--- a/pepsico/config-dev-sample.yaml
+++ b/pepsico/config-dev-sample.yaml
@@ -4,6 +4,7 @@ mode: debug  # debug, devel or prod
 dev_server_interface: 127.0.0.1
 dev_server_port: 8050
 dev_processes: 4
+# to query db of geoms 
 db:
     host: localhost  # at IRI, set this to dlcomputemon1.iri.columbia.edu
     password: null   # at IRI, get the password from another developer
diff --git a/pepsico/maproom_utilities.py b/pepsico/maproom_utilities.py
index be6dbadb..498c5246 100644
--- a/pepsico/maproom_utilities.py
+++ b/pepsico/maproom_utilities.py
@@ -7,6 +7,7 @@
 from shapely.geometry.multipolygon import MultiPolygon
 from shapely.geometry import Polygon
 import sqlalchemy
+import geopandas as geopd
 
 
 # Mapping Utilities
@@ -39,8 +40,18 @@ def get_geom(level, conf, shapes_adm_name):
     """
     if "bbox" in conf["datasets"] :
         return synthesize_geom(conf["datasets"]["bbox"], level=level)
-    else:
+    elif 'sql' in conf["datasets"][shapes_adm_name][level]:
         return sql2geom(conf["datasets"][shapes_adm_name][level]["sql"], conf["db"])
+    elif 'path' in conf["datasets"][shapes_adm_name][level]:
+        return shp2geom(
+            conf["datasets"][shapes_adm_name][level]["path"],
+            conf["datasets"][shapes_adm_name][level]["geom"],
+            conf["datasets"][shapes_adm_name][level]["label"],
+            conf["datasets"][shapes_adm_name][level]["selector"],
+            conf["datasets"][shapes_adm_name][level]["selected"],
+            #[int(s) for s in conf["datasets"][shapes_adm_name][level]["selected"].split()],
+            conf["datasets"][shapes_adm_name][level]["tolerance"],
+        )
 
 
 def sql2GeoJSON(shapes_sql, db_config):
@@ -75,6 +86,14 @@ def sql2GeoJSON(shapes_sql, db_config):
     return geom2GeoJSON(sql2geom(shapes_sql, db_config))
 
 
+def shp2geom(path, geom, label, selector, selected, tolerance):
+    df = geopd.read_file(
+        path, columns=[geom, label, selector], where=f'{selector} in {selected}'
+    ).rename(columns={geom: 'the_geom', label: 'label'})
+    #df['the_geom'] = df.the_geom.simplify(tolerance=tolerance)
+    return df
+
+
 def geom2GeoJSON(df):
     """ Form a GeoJSON dict from a geometric object
 
diff --git a/pepsico/pixi.lock b/pepsico/pixi.lock
index e16a13ac..325d3ce1 100644
--- a/pepsico/pixi.lock
+++ b/pepsico/pixi.lock
@@ -8,35 +8,33 @@ environments:
     packages:
       linux-64:
       - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.15.3-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.1-hac33072_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/alsa-lib-1.2.16.1-hb03c661_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/aom-3.14.1-pl5321h039972f_1.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/attrs-26.1.0-pyhcf101f3_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.10.1-h2d2dd48_2.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.9.13-h2c9d079_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.12.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.3.2-h8b1a151_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-http-0.10.12-h4bacb7b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-io-0.26.3-hc87160b_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-s3-0.11.5-h6d69fc9_5.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.2.4-h8b1a151_4.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.2.10-h8b1a151_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.3.0-py314h680f03e_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.6.0-py314h680f03e_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/blinker-1.9.0-pyhff2d567_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-1.2.0-hed03a55_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py314h3de4e8d_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hda65f42_9.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.6-hb03c661_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.2.25-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.6.17-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.4.7-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.3.2-pyhc90fa1f_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/click-8.4.1-pyhc90fa1f_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/click-plugins-1.1.1.2-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/cligj-0.7.2-pyhd8ed1ab_2.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py314h97ea11e_4.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.14.6-py314hd8ed1ab_100.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/dash-4.1.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/dash-4.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dash-bootstrap-components-2.0.4-pyhcf101f3_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/dash-leaflet-1.0.15-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda
@@ -45,137 +43,145 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_1.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.4.0-hecca717_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.3.1-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.0.1-gpl_hcddb375_914.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.1.2-gpl_h1bf8424_901.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/flask-3.1.3-pyhcf101f3_1.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda
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-- conda: https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.3.0-py314h680f03e_0.conda
+- conda: https://conda.anaconda.org/conda-forge/noarch/backports.zstd-1.6.0-py314h680f03e_0.conda
   noarch: generic
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   license: BSD-3-Clause AND MIT AND EPL-2.0
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   md5: 42834439227a4551b939beeeb8a4b085
@@ -783,6 +722,41 @@ packages:
   license_family: BSD
   size: 48427
   timestamp: 1733513201413
+- conda: https://conda.anaconda.org/conda-forge/noarch/branca-0.8.2-pyhd8ed1ab_0.conda
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+  - python >=3.10
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+  md5: 8ccf913aaba749a5496c17629d859ed1
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+  - brotli-bin 1.2.0 hb03c661_1
+  - libbrotlidec 1.2.0 hb03c661_1
+  - libbrotlienc 1.2.0 hb03c661_1
+  - libgcc >=14
+  license: MIT
+  license_family: MIT
+  size: 20103
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-bin-1.2.0-hb03c661_1.conda
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+  md5: af39b9a8711d4a8d437b52c1d78eb6a1
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+  - libbrotlidec 1.2.0 hb03c661_1
+  - libbrotlienc 1.2.0 hb03c661_1
+  - libgcc >=14
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+  license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/brotli-python-1.2.0-py314h3de4e8d_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.2.25-hbd8a1cb_0.conda
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-  md5: 4492fd26db29495f0ba23f146cd5638d
+- conda: https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2026.6.17-hbd8a1cb_0.conda
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+  md5: a9965dd99f683c5f444428f896635716
   depends:
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   license: ISC
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/cairo-1.18.4-he90730b_1.conda
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-- conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.2.25-pyhd8ed1ab_0.conda
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-  md5: 765c4d97e877cdbbb88ff33152b86125
+- conda: https://conda.anaconda.org/conda-forge/noarch/certifi-2026.6.17-pyhd8ed1ab_0.conda
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   license: ISC
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-- conda: https://conda.anaconda.org/conda-forge/noarch/click-8.3.2-pyhc90fa1f_0.conda
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   - python
   - python >=3.10
   license: BSD-3-Clause
   license_family: BSD
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@@ -909,6 +883,40 @@ packages:
   license_family: BSD
   size: 27011
   timestamp: 1733218222191
+- conda: https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.3.3-py314h97ea11e_4.conda
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+  - python
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+  - libgcc >=14
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+  - python_abi 3.14.* *_cp314
+  license: BSD-3-Clause
+  license_family: BSD
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+  timestamp: 1769155968691
+- conda: https://conda.anaconda.org/conda-forge/noarch/cpython-3.14.6-py314hd8ed1ab_100.conda
+  noarch: generic
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+  md5: b28fe35fd43d5f425c0dccbe5b5039fd
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+  - python >=3.14,<3.15.0a0
+  - python_abi * *_cp314
+  license: Python-2.0
+  size: 49333
+  timestamp: 1781254618863
+- conda: https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhcf101f3_2.conda
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+  md5: 4c2a8fef270f6c69591889b93f9f55c1
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+  - python
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 - conda: https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.28-hac629b4_1.conda
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@@ -924,12 +932,13 @@ packages:
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   size: 210103
   timestamp: 1771943128249
-- conda: https://conda.anaconda.org/conda-forge/noarch/dash-4.1.0-pyhd8ed1ab_0.conda
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-  md5: bbdfd2c9735e0367e10e941875bdf9d0
+- conda: https://conda.anaconda.org/conda-forge/noarch/dash-4.2.0-pyhd8ed1ab_0.conda
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+  md5: 3a5bbf41458303951167d7c4fb171c7f
   depends:
   - flask >=1.0.4
   - importlib-metadata
+  - janus >=1.0.0
   - nest-asyncio
   - plotly >=5.0.0
   - python >=3.10
@@ -939,13 +948,13 @@ packages:
   - typing_extensions >=4.1.1
   - werkzeug
   constrains:
+  - dash-core-components >=2.0.0
   - dash_table >=5.0.0
   - dash-html-components >=2.0.0
-  - dash-core-components >=2.0.0
   license: MIT
   license_family: MIT
-  size: 5325663
-  timestamp: 1774336225580
+  size: 4920601
+  timestamp: 1780399192294
 - conda: https://conda.anaconda.org/conda-forge/noarch/dash-bootstrap-components-2.0.4-pyhcf101f3_0.conda
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   md5: 26af33c7e6ae117319e93843e238d165
@@ -1030,43 +1039,44 @@ packages:
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   size: 21333
   timestamp: 1763918099466
-- conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.0.1-gpl_hcddb375_914.conda
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-  md5: f0e9f1452786e2b32907e8d9a6b3c752
+- conda: https://conda.anaconda.org/conda-forge/linux-64/ffmpeg-8.1.2-gpl_h1bf8424_901.conda
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+  md5: 0c457f1b2384bb0aa984831a79021a66
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-  - alsa-lib >=1.2.15.3,<1.3.0a0
-  - aom >=3.9.1,<3.10.0a0
+  - alsa-lib >=1.2.16.1,<1.3.0a0
+  - aom >=3.14.1,<3.15.0a0
   - bzip2 >=1.0.8,<2.0a0
   - dav1d >=1.2.1,<1.2.2.0a0
-  - fontconfig >=2.17.1,<3.0a0
+  - fontconfig >=2.18.1,<3.0a0
   - fonts-conda-ecosystem
   - gmp >=6.3.0,<7.0a0
-  - harfbuzz >=12.3.2
+  - harfbuzz >=14.2.1
   - lame >=3.100,<3.101.0a0
   - libass >=0.17.4,<0.17.5.0a0
-  - libexpat >=2.7.4,<3.0a0
-  - libfreetype >=2.14.2
-  - libfreetype6 >=2.14.2
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   - libgcc >=14
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   - libjxl >=0.11,<1.0a0
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-  - libopenvino-paddle-frontend >=2026.0.0,<2026.0.1.0a0
-  - libopenvino-pytorch-frontend >=2026.0.0,<2026.0.1.0a0
-  - libopenvino-tensorflow-frontend >=2026.0.0,<2026.0.1.0a0
-  - libopenvino-tensorflow-lite-frontend >=2026.0.0,<2026.0.1.0a0
+  - liblzma >=5.8.3,<6.0a0
+  - libopenvino >=2026.2.1,<2026.2.2.0a0
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+  - libopenvino-intel-cpu-plugin >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-intel-gpu-plugin >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-intel-npu-plugin >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-ir-frontend >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-onnx-frontend >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-paddle-frontend >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-pytorch-frontend >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-tensorflow-frontend >=2026.2.1,<2026.2.2.0a0
+  - libopenvino-tensorflow-lite-frontend >=2026.2.1,<2026.2.2.0a0
   - libopus >=1.6.1,<2.0a0
-  - librsvg >=2.60.2,<3.0a0
+  - libplacebo >=7.360.1,<7.361.0a0
+  - librsvg >=2.62.3,<3.0a0
   - libstdcxx >=14
   - libva >=2.23.0,<3.0a0
   - libvorbis >=1.3.7,<1.4.0a0
@@ -1077,12 +1087,12 @@ packages:
   - libxcb >=1.17.0,<2.0a0
   - libxml2
   - libxml2-16 >=2.14.6
-  - libzlib >=1.3.1,<2.0a0
+  - libzlib >=1.3.2,<2.0a0
   - openh264 >=2.6.0,<2.6.1.0a0
-  - openssl >=3.5.5,<4.0a0
+  - openssl >=3.5.7,<4.0a0
   - pulseaudio-client >=17.0,<17.1.0a0
   - sdl2 >=2.32.56,<3.0a0
-  - shaderc >=2025.5,<2025.6.0a0
+  - shaderc >=2026.2,<2026.3.0a0
   - svt-av1 >=4.0.1,<4.0.2.0a0
   - x264 >=1!164.3095,<1!165
   - x265 >=3.5,<3.6.0a0
@@ -1091,8 +1101,8 @@ packages:
   - __cuda  >=12.8
   license: GPL-2.0-or-later
   license_family: GPL
-  size: 12485347
-  timestamp: 1773008832077
+  size: 13078770
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 - conda: https://conda.anaconda.org/conda-forge/noarch/flask-3.1.3-pyhcf101f3_1.conda
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   md5: 156398929bf849da6df8f89a2c390185
@@ -1109,6 +1119,20 @@ packages:
   license_family: BSD
   size: 87428
   timestamp: 1771489274528
+- conda: https://conda.anaconda.org/conda-forge/noarch/folium-0.20.0-pyhd8ed1ab_0.conda
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+  md5: a6997a7dcd6673c0692c61dfeaea14ab
+  depends:
+  - branca >=0.6.0
+  - jinja2 >=2.9
+  - numpy
+  - python >=3.9
+  - requests
+  - xyzservices
+  license: MIT
+  license_family: MIT
+  size: 82665
+  timestamp: 1750113928159
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+  - python_abi 3.14.* *_cp314
+  license: BSD-3-Clause
+  license_family: BSD
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+  timestamp: 1773067048780
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   - libgcc >=14
   - libstdcxx >=14
-  - openssl >=3.5.5,<4.0a0
+  - openssl >=3.5.7,<4.0a0
   license: MIT
   license_family: MIT
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-  timestamp: 1769769569681
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@@ -1542,6 +1614,18 @@ packages:
   license_family: LGPL
   size: 508258
   timestamp: 1664996250081
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+  - libtiff >=4.7.1,<4.8.0a0
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   timestamp: 1773113328888
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-  - abseil-cpp =20260107.1
+  - abseil-cpp =20260526.0
+  - libabseil-static =20260526.0=cxx17*
   license: Apache-2.0
   license_family: Apache
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-  timestamp: 1770863194876
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-  md5: dbeb5c8321cb2408d406a3da16a0ff0d
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   - lz4-c >=1.10.0,<1.11.0a0
   - lzo >=2.10,<3.0a0
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   license_family: BSD
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-  timestamp: 1776096017113
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   timestamp: 1749328931930
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-  - libopenblas >=0.3.32,<1.0a0
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-  - liblapack  3.11.0   6*_openblas
-  - liblapacke 3.11.0   6*_openblas
-  - libcblas   3.11.0   6*_openblas
-  - mkl <2026
+  - blas 2.308   openblas
+  - mkl <2027
+  - libcblas   3.11.0   8*_openblas
+  - liblapack  3.11.0   8*_openblas
+  - liblapacke 3.11.0   8*_openblas
   license: BSD-3-Clause
   license_family: BSD
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-  timestamp: 1774503034895
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   timestamp: 1764017210931
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   constrains:
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-  - liblapack  3.11.0   6*_openblas
-  - liblapacke 3.11.0   6*_openblas
+  - blas 2.308   openblas
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+  - liblapack  3.11.0   8*_openblas
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   - libgcc >=14
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   - libssh2 >=1.11.1,<2.0a0
-  - libzlib >=1.3.1,<2.0a0
-  - openssl >=3.5.5,<4.0a0
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   - zstd >=1.5.7,<1.6.0a0
   license: curl
   license_family: MIT
-  size: 466704
-  timestamp: 1773218522665
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+  license: MIT
+  license_family: MIT
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+  timestamp: 1777838991858
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.127-hb03c661_0.conda
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   - libgcc >=14
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+  - libpciaccess >=0.19,<0.20.0a0
   license: MIT
   license_family: MIT
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-  timestamp: 1757212153962
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_3.conda
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+  license: LicenseRef-libglvnd
+  size: 46500
+  timestamp: 1779728188901
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libegl-devel-1.7.0-ha4b6fd6_3.conda
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+  - libegl 1.7.0 ha4b6fd6_3
+  - libgl-devel 1.7.0 ha4b6fd6_3
+  - xorg-libx11
   license: LicenseRef-libglvnd
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-  timestamp: 1731330973553
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   timestamp: 1702146165126
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.7.5-hecca717_0.conda
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-  md5: 49f570f3bc4c874a06ea69b7225753af
+- conda: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.8.1-hecca717_1.conda
+  sha256: 16feffd9ddbbe5b718515d38ee376c685ba95491cd901244e24671d20b952a77
+  md5: b24d3c612f71e7aa74158d92106318b2
   depends:
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   - libgcc >=14
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+  - expat 2.8.1.*
   license: MIT
   license_family: MIT
-  size: 76624
-  timestamp: 1774719175983
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   size: 384575
   timestamp: 1774298162622
-- conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-15.2.0-he0feb66_18.conda
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+  - cpython >=3.10
+  - libopencv 4.13.0 qt6_hf3622b9_613
+  - numpy >=1.21,<3
+  - python >=3.10
   license: Apache-2.0
   license_family: Apache
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   size: 893031
   timestamp: 1774796815820
+- conda: https://conda.anaconda.org/conda-forge/linux-64/pyogrio-0.12.1-py314hbcf5174_0.conda
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+  - libstdcxx >=14
+  - numpy
+  - packaging
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
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+  license_family: MIT
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 - conda: https://conda.anaconda.org/conda-forge/noarch/pyparsing-3.3.2-pyhcf101f3_0.conda
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   size: 110893
   timestamp: 1769003998136
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+  - certifi
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+  - python_abi 3.14.* *_cp314
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 - conda: https://conda.anaconda.org/conda-forge/noarch/pysocks-1.7.1-pyha55dd90_7.conda
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-  md5: 6a991452eadf2771952f39d43615bb3e
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   - pygments >=2.7.2
   - python >=3.10
   - iniconfig >=1.0.1
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   - pytest-faulthandler >=2
   license: MIT
   license_family: MIT
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-  timestamp: 1775644472530
-- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.4-habeac84_100_cp314.conda
+  size: 306724
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.14.6-habeac84_100_cp314.conda
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-  - openssl >=3.5.6,<4.0a0
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   - readline >=8.3,<9.0a0
   - tk >=8.6.13,<8.7.0a0
   - tzdata
   - zstd >=1.5.7,<1.6.0a0
   license: Python-2.0
-  size: 36705460
-  timestamp: 1775614357822
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   python_site_packages_path: lib/python3.14/site-packages
 - conda: https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.9.0.post0-pyhe01879c_2.conda
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   license_family: APACHE
   size: 233310
   timestamp: 1751104122689
+- conda: https://conda.anaconda.org/conda-forge/noarch/python-gil-3.14.6-h4df99d1_100.conda
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+  md5: 224f69f177eb5aae6c9a6052846bf609
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+  - python_abi * *_cp314
+  license: Python-2.0
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 - conda: https://conda.anaconda.org/conda-forge/noarch/python_abi-3.14-8_cp314.conda
   build_number: 8
   sha256: ad6d2e9ac39751cc0529dd1566a26751a0bf2542adb0c232533d32e176e21db5
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   timestamp: 1770223462836
-- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.10.2-pl5321h16c4a6b_6.conda
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-  md5: 3a00bff44c15ee37bfd5eb435e1b2a51
+- conda: https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda
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+  depends:
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+  - libgcc-ng >=12
+  - libstdcxx-ng >=12
+  license: LicenseRef-Qhull
+  size: 552937
+  timestamp: 1720813982144
+- conda: https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.11.1-pl5321h16c4a6b_1.conda
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   - xcb-util-renderutil
   - xcb-util-cursor
-  - __glibc >=2.17,<3.0.a0
+  - libgl-devel
+  - libegl-devel
   - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
   - libstdcxx >=14
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-  - libdrm >=2.4.125,<2.5.0a0
   - xcb-util >=0.4.1,<0.5.0a0
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   - libbrotlienc >=1.2.0,<1.3.0a0
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-  - zstd >=1.5.7,<1.6.0a0
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-  - libjpeg-turbo >=3.1.2,<4.0a0
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-  - fonts-conda-ecosystem
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   - xcb-util-wm >=0.4.2,<0.5.0a0
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   license_family: LGPL
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-- conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.33.1-pyhcf101f3_0.conda
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-  md5: 10afbb4dbf06ff959ad25a92ccee6e59
+- conda: https://conda.anaconda.org/conda-forge/noarch/requests-2.34.2-pyhcf101f3_0.conda
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   - python
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-  - chardet >=3.0.2,<6
+  - chardet >=3.0.2,<8
   license: Apache-2.0
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-  md5: 9d978822b57bafe72ebd3f8b527bba71
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+  - python_abi 3.14.* *_cp314
+  license: BSD-3-Clause
+  license_family: BSD
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.18.0-py314hf07bd8e_0.conda
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   - numpy <2.7
   - numpy >=1.23,<3
-  - numpy >=1.25.2
+  - numpy >=2.0.0
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   - python_abi 3.14.* *_cp314
   license: BSD-3-Clause
   license_family: BSD
-  size: 17225275
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-- conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.4.4-hdeec2a5_0.conda
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-  md5: 78f56b31513ee775c3e72a744bd26a7e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.4.10-hdeec2a5_0.conda
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-  - libvulkan-loader >=1.4.341.0,<2.0a0
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   - xorg-libxext >=1.3.7,<2.0a0
-  - xorg-libx11 >=1.8.13,<2.0a0
+  - libdrm >=2.4.127,<2.5.0a0
+  - pulseaudio-client >=17.0,<17.1.0a0
+  - libvulkan-loader >=1.4.341.0,<2.0a0
   - libegl >=1.7.0,<2.0a0
+  - xorg-libxfixes >=6.0.2,<7.0a0
+  - libudev1 >=257.13
   license: Zlib
-  size: 2143141
-  timestamp: 1775266679380
+  size: 2148830
+  timestamp: 1780262823658
 - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-82.0.1-pyh332efcf_0.conda
   sha256: 82088a6e4daa33329a30bc26dc19a98c7c1d3f05c0f73ce9845d4eab4924e9e1
   md5: 8e194e7b992f99a5015edbd4ebd38efd
@@ -3728,9 +3981,9 @@ packages:
   license_family: MIT
   size: 639697
   timestamp: 1773074868565
-- conda: https://conda.anaconda.org/conda-forge/linux-64/shaderc-2025.5-h718be3e_1.conda
-  sha256: 0c2d6f24ee2b614ee1da4d7d99cc9944ea1ace65455a47d48d8c1f726317168a
-  md5: 8dc8dda113c4c568256bdd486b6e842e
+- conda: https://conda.anaconda.org/conda-forge/linux-64/shaderc-2026.2-h718be3e_0.conda
+  sha256: c6e3280867e54c97996a4fedda0ab72c92d48d1d69258bddf910130df72c169d
+  md5: 6438976979721e2f60ec47327d8d38df
   depends:
   - __glibc >=2.17,<3.0.a0
   - glslang >=16,<17.0a0
@@ -3739,8 +3992,8 @@ packages:
   - spirv-tools >=2026,<2027.0a0
   license: Apache-2.0
   license_family: Apache
-  size: 113513
-  timestamp: 1770208767759
+  size: 113684
+  timestamp: 1777360595361
 - conda: https://conda.anaconda.org/conda-forge/linux-64/shapely-2.1.2-py314hbe3edd8_2.conda
   sha256: 17cb5cec9283f993072e8b6f5e1417d8d892cc5efa27029eae954ab06b33c7e2
   md5: 5963e6ee81772d450a35e6bc95522761
@@ -3788,47 +4041,46 @@ packages:
   license_family: MIT
   size: 11313
   timestamp: 1733818738919
-- conda: https://conda.anaconda.org/conda-forge/linux-64/spirv-tools-2026.1-hb700be7_0.conda
-  sha256: 003180b3a2e0c6490b1f3461cf9e0ed740b1bbf88ee4b73ee177b94bea0dc95d
-  md5: 8809e0bd5ec279bfe4bb6651c3ed2730
+- conda: https://conda.anaconda.org/conda-forge/linux-64/spirv-tools-2026.2-hb700be7_0.conda
+  sha256: 309d1a3317e91a03611bc960fc807cf2c0c5baacbfddea0f5636438a76c52256
+  md5: 0c2b1d811632f1f4aa923450a002ff4f
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
   - libstdcxx >=14
   constrains:
-  - spirv-headers >=1.4.341.0,<1.4.341.1.0a0
+  - spirv-headers >=1.4.350.0,<1.4.350.1.0a0
   license: Apache-2.0
   license_family: APACHE
-  size: 2296977
-  timestamp: 1770089626195
-- conda: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.49-py314h0f05182_0.conda
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-  md5: 40330dd2ec87f319b1c4dffe0db4f4e7
+  size: 2392190
+  timestamp: 1780139567779
+- conda: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.51-py314h0f05182_0.conda
+  sha256: 3c46e9af535a376c7269b61563f84c601235b00d50fc97f87ffbf3b68a51fe17
+  md5: aeb7447f3ea37b2bb32167267dcf0bfe
   depends:
   - python
   - greenlet !=0.4.17
   - typing-extensions >=4.6.0
-  - libgcc >=14
   - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
   - python_abi 3.14.* *_cp314
   license: MIT
   license_family: MIT
-  size: 4030326
-  timestamp: 1775241332871
-- conda: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.53.0-h04a0ce9_0.conda
-  sha256: a0e35087ebf0720fa758cb261583bee0a328143238524ea47625b37108280291
-  md5: dc540e5bd5616d83a1ec46af8315ff98
+  size: 4034632
+  timestamp: 1781547880247
+- conda: https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.53.3-hbc0de68_0.conda
+  sha256: ef17725138fa72aa5a0f8ccace9727831c4b333e39575f78fb5ad1755826b687
+  md5: b345ea7f13e4cae9809c69b1d1af2c99
   depends:
   - __glibc >=2.17,<3.0.a0
-  - icu >=78.3,<79.0a0
   - libgcc >=14
-  - libsqlite 3.53.0 hf4e2dac_0
+  - libsqlite 3.53.3 h0c1763c_0
   - libzlib >=1.3.2,<2.0a0
-  - ncurses >=6.5,<7.0a0
+  - ncurses >=6.6,<7.0a0
   - readline >=8.3,<9.0a0
   license: blessing
-  size: 205091
-  timestamp: 1775753763547
+  size: 206481
+  timestamp: 1782519082269
 - conda: https://conda.anaconda.org/conda-forge/linux-64/svt-av1-4.0.1-hecca717_0.conda
   sha256: 4a1d2005153b9454fc21c9bad1b539df189905be49e851ec62a6212c2e045381
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@@ -3840,18 +4092,27 @@ packages:
   license_family: BSD
   size: 2619743
   timestamp: 1769664536467
-- conda: https://conda.anaconda.org/conda-forge/linux-64/tbb-2022.3.0-hb700be7_2.conda
-  sha256: 975710e4b7f1b13c3c30b7fbf21e22f50abe0463b6b47a231582fdedcc45c961
-  md5: 8f7278ca5f7456a974992a8b34284737
+- conda: https://conda.anaconda.org/conda-forge/linux-64/tbb-2023.0.0-hab88423_2.conda
+  sha256: 30cb9355c2fefc20ff1a3d6566b9714d5614086a2524c07721fc344eb20515ae
+  md5: 7073b15f9364ebc118998601ac6ca6a6
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
-  - libhwloc >=2.12.2,<2.12.3.0a0
+  - libhwloc >=2.13.0,<2.13.1.0a0
   - libstdcxx >=14
   license: Apache-2.0
   license_family: APACHE
-  size: 181329
-  timestamp: 1767886632911
+  size: 182331
+  timestamp: 1778673758649
+- conda: https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.6.0-pyhecae5ae_0.conda
+  sha256: 6016672e0e72c4cf23c0cf7b1986283bd86a9c17e8d319212d78d8e9ae42fdfd
+  md5: 9d64911b31d57ca443e9f1e36b04385f
+  depends:
+  - python >=3.9
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 23869
+  timestamp: 1741878358548
 - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h366c992_103.conda
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@@ -3900,6 +4161,18 @@ packages:
   license: LicenseRef-Public-Domain
   size: 119135
   timestamp: 1767016325805
+- conda: https://conda.anaconda.org/conda-forge/linux-64/unicodedata2-17.0.1-py314h5bd0f2a_0.conda
+  sha256: ff1c1d7c23b91c9b0eb93a3e1380f4e2ac6c37ea2bba4f932a5484e9a55bba30
+  md5: 494fdf358c152f9fdd0673c128c2f3dd
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - python >=3.14,<3.15.0a0
+  - python_abi 3.14.* *_cp314
+  license: Apache-2.0
+  license_family: Apache
+  size: 409562
+  timestamp: 1770909102180
 - conda: https://conda.anaconda.org/conda-forge/linux-64/uriparser-0.9.8-hac33072_0.conda
   sha256: 2aad2aeff7c69a2d7eecd7b662eef756b27d6a6b96f3e2c2a7071340ce14543e
   md5: d71d3a66528853c0a1ac2c02d79a0284
@@ -3910,9 +4183,9 @@ packages:
   license_family: BSD
   size: 48270
   timestamp: 1715010035325
-- conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.6.3-pyhd8ed1ab_0.conda
-  sha256: af641ca7ab0c64525a96fd9ad3081b0f5bcf5d1cbb091afb3f6ed5a9eee6111a
-  md5: 9272daa869e03efe68833e3dc7a02130
+- conda: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.7.0-pyhd8ed1ab_0.conda
+  sha256: feff959a816f7988a0893201aa9727bbb7ee1e9cec2c4f0428269b489eb93fb4
+  md5: cbb88288f74dbe6ada1c6c7d0a97223e
   depends:
   - backports.zstd >=1.0.0
   - brotli-python >=1.2.0
@@ -3921,8 +4194,8 @@ packages:
   - python >=3.10
   license: MIT
   license_family: MIT
-  size: 103172
-  timestamp: 1767817860341
+  size: 103560
+  timestamp: 1778188657149
 - conda: https://conda.anaconda.org/conda-forge/linux-64/wayland-1.25.0-hd6090a7_0.conda
   sha256: ea374d57a8fcda281a0a89af0ee49a2c2e99cc4ac97cf2e2db7064e74e764bdb
   md5: 996583ea9c796e5b915f7d7580b51ea6
@@ -3936,13 +4209,13 @@ packages:
   license_family: MIT
   size: 334139
   timestamp: 1773959575393
-- conda: https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.47-hd8ed1ab_0.conda
-  sha256: 9ab2c12053ea8984228dd573114ffc6d63df42c501d59fda3bf3aeb1eaa1d23e
-  md5: 7da1571f560d4ba3343f7f4c48a79c76
+- conda: https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.49-hd8ed1ab_0.conda
+  sha256: 04ce686cd187d379344f9b2be7b4da5f431b265dc0944a6b764fab9da9171948
+  md5: 0839a3421140d4a9ba93fb988698fc00
   license: MIT
   license_family: MIT
-  size: 140476
-  timestamp: 1765821981856
+  size: 147954
+  timestamp: 1780946721169
 - conda: https://conda.anaconda.org/conda-forge/noarch/werkzeug-3.1.8-pyhcf101f3_0.conda
   sha256: 5108c1bf2f0512e5c9dc8191e31b144c23b7cf0e73423a246173006002368d79
   md5: 3eeca039e7316268627f4116da9df64c
@@ -3954,9 +4227,9 @@ packages:
   license_family: BSD
   size: 258232
   timestamp: 1775160081069
-- conda: https://conda.anaconda.org/conda-forge/linux-64/wrapt-2.1.2-py314h5bd0f2a_0.conda
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-  md5: ecb8efb80a3f80e096fdc95f524d54b5
+- conda: https://conda.anaconda.org/conda-forge/linux-64/wrapt-2.2.2-py314h5bd0f2a_0.conda
+  sha256: f2789ff73f60f3b740629146a64f778bbf40e26900978cb632180878a496423c
+  md5: e1e275654a6c998b7357606f5da46af7
   depends:
   - __glibc >=2.17,<3.0.a0
   - libgcc >=14
@@ -3964,8 +4237,8 @@ packages:
   - python_abi 3.14.* *_cp314
   license: BSD-2-Clause
   license_family: BSD
-  size: 88335
-  timestamp: 1772794808717
+  size: 118096
+  timestamp: 1782133651496
 - conda: https://conda.anaconda.org/conda-forge/linux-64/x264-1!164.3095-h166bdaf_2.tar.bz2
   sha256: 175315eb3d6ea1f64a6ce470be00fa2ee59980108f246d3072ab8b977cb048a5
   md5: 6c99772d483f566d59e25037fea2c4b1
@@ -4100,17 +4373,17 @@ packages:
   license_family: Apache
   size: 1660075
   timestamp: 1766327494699
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.47-hb03c661_0.conda
-  sha256: 19c2bb14bec84b0e995b56b752369775c75f1589314b43733948bb5f471a6915
-  md5: b56e0c8432b56decafae7e78c5f29ba5
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.48-h280c20c_0.conda
+  sha256: 3b04afd5d1a65d2d27ac2d49a63b01ab8bcd875776779ec63e337370ed38afdc
+  md5: b233b41be0bf210989d57160ed39b394
   depends:
-  - __glibc >=2.17,<3.0.a0
   - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
   - xorg-libx11 >=1.8.13,<2.0a0
   license: MIT
   license_family: MIT
-  size: 399291
-  timestamp: 1772021302485
+  size: 441670
+  timestamp: 1782027360439
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libice-1.1.2-hb9d3cd8_0.conda
   sha256: c12396aabb21244c212e488bbdc4abcdef0b7404b15761d9329f5a4a39113c4b
   md5: fb901ff28063514abb6046c9ec2c4a45
@@ -4224,19 +4497,19 @@ packages:
   license_family: MIT
   size: 20071
   timestamp: 1759282564045
-- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.2-hb9d3cd8_0.conda
-  sha256: 1a724b47d98d7880f26da40e45f01728e7638e6ec69f35a3e11f92acd05f9e7a
-  md5: 17dcc85db3c7886650b8908b183d6876
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxi-1.8.3-hb03c661_0.conda
+  sha256: 495f99c8eacfa4ae2d8fed2a7f2105777af89acdc204df145d2bbbc380ac631b
+  md5: adba2e334082bb218db806d4c12277c9
   depends:
   - __glibc >=2.17,<3.0.a0
-  - libgcc >=13
-  - xorg-libx11 >=1.8.10,<2.0a0
-  - xorg-libxext >=1.3.6,<2.0a0
-  - xorg-libxfixes >=6.0.1,<7.0a0
+  - libgcc >=14
+  - xorg-libx11 >=1.8.13,<2.0a0
+  - xorg-libxext >=1.3.7,<2.0a0
+  - xorg-libxfixes >=6.0.2,<7.0a0
   license: MIT
   license_family: MIT
-  size: 47179
-  timestamp: 1727799254088
+  size: 47717
+  timestamp: 1779111857071
 - conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrandr-1.5.5-hb03c661_0.conda
   sha256: 80ed047a5cb30632c3dc5804c7716131d767089f65877813d4ae855ee5c9d343
   md5: e192019153591938acf7322b6459d36e
@@ -4298,6 +4571,25 @@ packages:
   license_family: MIT
   size: 18701
   timestamp: 1769434732453
+- conda: https://conda.anaconda.org/conda-forge/linux-64/xorg-xorgproto-2025.1-hb03c661_0.conda
+  sha256: 7a8c64938428c2bfd016359f9cb3c44f94acc256c6167dbdade9f2a1f5ca7a36
+  md5: aa8d21be4b461ce612d8f5fb791decae
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  license: MIT
+  license_family: MIT
+  size: 570010
+  timestamp: 1766154256151
+- conda: https://conda.anaconda.org/conda-forge/noarch/xyzservices-2026.3.0-pyhd8ed1ab_0.conda
+  sha256: 663ea9b00d68c2da309114923924686ab6d3f59ef1b196c5029ba16799e7bb07
+  md5: 4487b9c371d0161d54b5c7bbd890c0fc
+  depends:
+  - python >=3.9
+  license: BSD-3-Clause
+  license_family: BSD
+  size: 51732
+  timestamp: 1774900074457
 - conda: https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h280c20c_3.conda
   sha256: 6d9ea2f731e284e9316d95fa61869fe7bbba33df7929f82693c121022810f4ad
   md5: a77f85f77be52ff59391544bfe73390a
@@ -4308,15 +4600,15 @@ packages:
   license_family: MIT
   size: 85189
   timestamp: 1753484064210
-- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.1.6-pyhc364b38_0.conda
-  sha256: 5b75534de2d56706bb9905cf7230e60fe4d89dcaf19095822b084c84a64a8de1
-  md5: bf5ed37ec39d366c0bc7633e1590fbdf
+- conda: https://conda.anaconda.org/conda-forge/noarch/zarr-3.2.1-pyhc364b38_0.conda
+  sha256: 88716d633ac7fdc896ce7aa00efdfc91df6363d51bebabfb60d34399c023a3d0
+  md5: b787cd1f01e24b161261438a5589df51
   depends:
-  - python >=3.11
+  - python >=3.12
   - packaging >=22.0
-  - numpy >=2.0
+  - numpy >=2
   - numcodecs >=0.14
-  - typing_extensions >=4.12
+  - typing_extensions >=4.13
   - donfig >=0.8
   - google-crc32c >=1.5
   - python
@@ -4325,18 +4617,18 @@ packages:
   - obstore >=0.5.1
   license: MIT
   license_family: MIT
-  size: 320675
-  timestamp: 1775744500266
-- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-3.23.1-pyhcf101f3_0.conda
-  sha256: 523616c0530d305d2216c2b4a8dfd3872628b60083255b89c5e0d8c42e738cca
-  md5: e1c36c6121a7c9c76f2f148f1e83b983
+  size: 367721
+  timestamp: 1777989189792
+- conda: https://conda.anaconda.org/conda-forge/noarch/zipp-4.1.0-pyhcf101f3_0.conda
+  sha256: 210bd31c22bb88f5e2a167df24c95bb5f152b2ada7502f9b8c49d1f5366db423
+  md5: ba3dcdc8584155c97c648ae9c044b7a3
   depends:
   - python >=3.10
   - python
   license: MIT
   license_family: MIT
-  size: 24461
-  timestamp: 1776131454755
+  size: 24190
+  timestamp: 1779159948016
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.2-h25fd6f3_2.conda
   sha256: 245c9ee8d688e23661b95e3c6dd7272ca936fabc03d423cdb3cdee1bbcf9f2f2
   md5: c2a01a08fc991620a74b32420e97868a
@@ -4347,6 +4639,17 @@ packages:
   license_family: Other
   size: 95931
   timestamp: 1774072620848
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.3.3-hceb46e0_1.conda
+  sha256: ea4e50c465d70236408cb0bfe0115609fd14db1adcd8bd30d8918e0291f8a75f
+  md5: 2aadb0d17215603a82a2a6b0afd9a4cb
+  depends:
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - libstdcxx >=14
+  license: Zlib
+  license_family: Other
+  size: 122618
+  timestamp: 1770167931827
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb78ec9c_6.conda
   sha256: 68f0206ca6e98fea941e5717cec780ed2873ffabc0e1ed34428c061e2c6268c7
   md5: 4a13eeac0b5c8e5b8ab496e6c4ddd829
diff --git a/pepsico/pixi.toml b/pepsico/pixi.toml
index d22812d1..eb085b04 100644
--- a/pepsico/pixi.toml
+++ b/pepsico/pixi.toml
@@ -19,6 +19,7 @@ dash-bootstrap-components = ">=2.0.4,<3"
 scipy = ">=1.17.1,<2"
 zarr = ">=3.1.6,<4"
 sqlalchemy = ">=2.0.49,<3"
+geopandas = ">=1.1.4,<2"
 
 [feature.dev.dependencies]
 pytest = "*"