manually creating new requirements.txt file

requirements.txt

@@ -152,7 +152,7 @@ dask-image==2023.3.0
     # via odc-algo
 dask-ml==1.0.0
     # via dea-tools
-datacube[performance,s3]==1.8.18
+datacube[performance,s3]==1.8.19
     # via
     #   -r requirements.in
     #   datacube-ows
@@ -162,7 +162,7 @@ datacube[performance,s3]==1.8.18
     #   odc-ui
 datacube-ows==1.8.39
     # via dea-tools
-dea-tools==0.3.2
+dea-tools==0.3.4
     # via -r requirements.in
 decorator==5.1.1
     # via ipython
@@ -178,7 +178,7 @@ distributed==2024.3.1
     #   dask-ml
     #   datacube
     #   odc-algo
-eodatasets3==0.30.5
+eodatasets3==0.30.6
     # via -r requirements.in
 exceptiongroup==1.2.0
     # via
@@ -218,7 +218,7 @@ geoalchemy2==0.14.6
     #   datacube-ows
 geographiclib==2.0
     # via geopy
-geopandas==0.14.3
+geopandas==0.14.4
     # via
     #   -r requirements.in
     #   dea-tools
@@ -308,11 +308,12 @@ lxml==5.1.0
     #   owslib
     #   pyows
     #   pytmd
+    #   timescale
 markupsafe==2.1.5
     # via
     #   jinja2
     #   werkzeug
-matplotlib==3.8.4
+matplotlib==3.9.1
     # via
     #   -r requirements.in
     #   datacube-ows
@@ -360,6 +361,7 @@ numpy==1.26.4
     #   dea-tools
     #   eodatasets3
     #   folium
+    #   geopandas
     #   h5py
     #   hdstats
     #   imageio
@@ -374,7 +376,6 @@ numpy==1.26.4
     #   pandas
     #   pims
     #   properscoring
-    #   pygeos
     #   pytmd
     #   rasterio
     #   rasterstats
@@ -387,6 +388,7 @@ numpy==1.26.4
     #   snuggs
     #   sparse
     #   tifffile
+    #   timescale
     #   timezonefinder
     #   xarray
     #   xhistogram
@@ -395,7 +397,7 @@ odc-algo==0.2.3
     # via
     #   -r requirements.in
     #   odc-ui
-odc-geo==0.4.3
+odc-geo==0.4.8
     # via
     #   -r requirements.in
     #   dea-tools
@@ -481,8 +483,6 @@ pydantic==2.6.4
     # via planetary-computer
 pydantic-core==2.16.3
     # via pydantic
-pygeos==0.14
-    # via -r requirements.in
 pygments==2.17.2
     # via ipython
 pyows==0.2.7
@@ -533,13 +533,14 @@ python-dateutil==2.9.0.post0
     #   pystac
     #   pystac-client
     #   pytmd
+    #   timescale
 python-dotenv==1.0.1
     # via planetary-computer
 python-rapidjson==1.16
     # via eodatasets3
 python-slugify==8.0.4
     # via datacube-ows
-pytmd==2.1.0
+pytmd==2.1.4
     # via
     #   -r requirements.in
     #   dea-tools
@@ -559,7 +560,7 @@ pyyaml==6.0.1
     #   datacube
     #   distributed
     #   owslib
-rasterio==1.3.8
+rasterio==1.3.10
     # via
     #   -r requirements.in
     #   datacube
@@ -587,7 +588,7 @@ requests==2.31.0
     #   owslib
     #   planetary-computer
     #   pystac-client
-rioxarray==0.15.5
+rioxarray==0.17.0
     # via
     #   -r requirements.in
     #   dea-tools
@@ -603,19 +604,19 @@ ruamel-yaml-clib==0.2.8
     # via ruamel-yaml
 s3transfer==0.10.1
     # via boto3
-scikit-image==0.22.0
+scikit-image==0.24.0
     # via
     #   -r requirements.in
     #   dea-tools
     #   odc-algo
-scikit-learn==1.4.2
+scikit-learn==1.5.1
     # via
     #   -r requirements.in
     #   dask-glm
     #   dask-ml
     #   dea-tools
     #   xskillscore
-scipy==1.13.0
+scipy==1.14.0
     # via
     #   -r requirements.in
     #   dask-glm
@@ -630,14 +631,16 @@ scipy==1.13.0
     #   scikit-image
     #   scikit-learn
     #   sparse
+    #   timescale
     #   xskillscore
 seaborn==0.13.2
     # via -r requirements.in
 setuptools-scm==8.0.4
     # via
     #   datacube-ows
     #   pytmd
-shapely==2.0.1
+    #   timescale
+shapely==2.0.5
     # via
     #   -r requirements.in
     #   datacube
@@ -681,6 +684,8 @@ tifffile==2024.2.12
     # via
     #   dask-image
     #   scikit-image
+timescale==0.0.5
+    # via pytmd
 timezonefinder==6.5.0
     # via datacube-ows
 tomli==2.0.1
@@ -699,7 +704,7 @@ toolz==0.12.1
     #   xskillscore
 tornado==6.4
     # via distributed
-tqdm==4.66.2
+tqdm==4.66.5
     # via
     #   -r requirements.in
     #   dea-tools
@@ -733,7 +738,7 @@ widgetsnbextension==4.0.10
     # via ipywidgets
 wrapt==1.16.0
     # via deprecat
-xarray==2024.3.0
+xarray==2024.7.0
     # via
     #   -r requirements.in
     #   datacube