diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 819655631..0ecbad93a 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -9,7 +9,7 @@ jobs: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: - python-version: "3.9" + python-version: "3.10" - uses: pre-commit/action@v3.0.0 test: @@ -19,7 +19,7 @@ jobs: fail-fast: false matrix: os: [ ubuntu-latest, macos-latest, windows-latest ] - python-version: [ "3.9" , "3.10", "3.11" ] + python-version: [ "3.10", "3.11" ] steps: - uses: actions/checkout@v3 @@ -40,7 +40,7 @@ jobs: run: poetry run pytest --cov-report xml - name: Upload coverage to Codecov - if: (matrix.os == 'ubuntu-latest' && matrix.python-version == '3.9') + if: (matrix.os == 'ubuntu-latest' && matrix.python-version == '3.10') uses: codecov/codecov-action@v3 docs_build: @@ -50,7 +50,7 @@ jobs: - uses: actions/checkout@v3 - uses: actions/setup-python@v4 with: - python-version: "3.9" + python-version: "3.10" - name: Install Poetry uses: abatilo/actions-poetry@v2.3.0 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index ff8f81133..707f92b16 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -27,3 +27,8 @@ repos: rev: v0.33.0 hooks: - id: markdownlint + - repo: https://github.com/asottile/pyupgrade + rev: v3.13.0 + hooks: + - id: pyupgrade + args: [--py310-plus] \ No newline at end of file diff --git a/docs/source/conf.py b/docs/source/conf.py index 410dd3eaa..49091960c 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -110,6 +110,10 @@ class MyReferenceStyle(AuthorYearReferenceStyle): ("py:class", "virtual_rainforest.models.abiotic.energy_balance.EnergyBalance"), # Something off about JSONSchema intersphinx mapping? ("py:obj", "virtual_rainforest.core.schema.ValidatorWithDefaults.ID_OF"), + # HACK - sphinx seems to thing GRID_STRUCTURE_SIG is a tuple not a type alias + ("py:obj", "virtual_rainforest.core.grid.GRID_STRUCTURE_SIG.__repr__"), + ("py:obj", "virtual_rainforest.core.grid.GRID_STRUCTURE_SIG.count"), + ("py:obj", "virtual_rainforest.core.grid.GRID_STRUCTURE_SIG.index"), ] intersphinx_mapping = { "numpy": ("https://numpy.org/doc/stable/", None), diff --git a/docs/source/data_recipes/CDS_toolbox_template.md b/docs/source/data_recipes/CDS_toolbox_template.md index 7c31eee73..021fec149 100644 --- a/docs/source/data_recipes/CDS_toolbox_template.md +++ b/docs/source/data_recipes/CDS_toolbox_template.md @@ -22,9 +22,11 @@ of the Virtual Rainforest. This document describes how to download climate data the Copernicus [Climate Data Store](https://cds.climate.copernicus.eu/) (CDS) and basic pre-processing options using the [CDS toolbox](https://cds.climate.copernicus.eu/cdsapp#!/toolbox). -At present, the pre-processing does not include scaling or topographic adjustment. +You need to create a user account to access all data and functionalities. -NOTE: You need to create a user account to access all data and functionalities. +```{note} +At present, the pre-processing does not include scaling or topographic adjustment. +``` ## Climate input variables @@ -33,7 +35,7 @@ variables (or derivatives) at each time step (default: monthly means): * Air temperature (typically 2m; mean, minimum, and maximum) * Air humidity (typically 2m; relative or specific humidity) -* Air pressure (typically mean sealevel or surface pressure) +* Air pressure (typically mean sea level or surface pressure) * Wind speed (typically 10m) * Precipitation @@ -63,12 +65,15 @@ simulations: ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5 (0.1 x 0.1 - deg resolution). + deg). The full documentation and download link can be accessed [here for hourly data](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview) and [here for monthly data](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land-monthly-means?tab=overview) + Example code to manipulate downloaded ERA5-Land data as used in the `vr_run` example + is available [here](../../../virtual_rainforest/example_data/generation_scripts/climate_example_data.py). + * WFDE5 This global dataset provides bias-corrected reconstruction of near-surface @@ -77,7 +82,9 @@ simulations: available in hourly and daily time steps for the period 1979-2019 in 0.5 x 0.5 deg resolution. - The full documentation and download link can be accessed [here](https://cds.climate.copernicus.eu/cdsapp#!/dataset/derived-near-surface-meteorological-variables?tab=overview). + The full documentation and download link can be accessed + [here](https://cds.climate.copernicus.eu/cdsapp#!/dataset/derived-near-surface-meteorological-variables?tab=overview) + . * CORDEX-SEA @@ -90,15 +97,15 @@ simulations: The full documentation and download link can be accessed [here](https://cds.climate.copernicus.eu/cdsapp#!/dataset/projections-cordex-domains-single-levels?tab=overview). -* Atmospheric CO2 +* Atmospheric $\ce{CO_{2}}$ - Observed global CO2 levels (Mauna Loa, NOAA/GML) are available in monthly or annual - resolution (1958 - present) [here](https://gml.noaa.gov/ccgg/trends/graph.html). - Monthly data derived from satellite observation (2002 - present) is available + Observed global $\ce{CO_{2}}$ levels (Mauna Loa, NOAA/GML) are available in monthly or + annual resolution (1958 - present) [here](https://gml.noaa.gov/ccgg/trends/graph.html) + . Monthly data derived from satellite observation (2002 - present) is available [here](https://cds.climate.copernicus.eu/cdsapp#!/dataset/satellite-carbon-dioxide?tab=overview) - . Alternatively, reconstructed gridded monthly CO2 data for the historical period - (1953 - 2013) and future CMIP6 scenarios (2015 - 2150) can be downloaded - [here](https://zenodo.org/record/5021361){cite:p}`cheng_wei_global_2021`. + . Alternatively, reconstructed gridded monthly $\ce{CO_{2}}$ data for the historical + period (1953 - 2013) and future CMIP6 scenarios (2015 - 2150) can be downloaded + [here](https://zenodo.org/record/5021361) {cite:p}`cheng_wei_global_2021`. ## Step-by-step example @@ -109,7 +116,7 @@ data, navigate to the tab 'Download Data'. ### Selection This is an example of a selection of tabs to download historical '2m air temperature' -from the CORDEX-SEA: +from the CORDEX-SEA (you can download multiple variables and years in one request): * Domain (South-East Asia), * Experiment (here: 'historical', RCPs available) @@ -121,10 +128,12 @@ from the CORDEX-SEA: * Ensemble member (r1i1p1) * Start year and End year (here: 2001-2005) -Once you selected the data, you can either download the dataset for further processing, -[see here](./ERA5_preprocessing_example.md) an example of how to manipulate ERA5 data -using xarray, or click on 'show Toolbox request' at the bottom of the page, copy the -code, and open the CDS toolbox editor. +Once you selected the data, you can either download the dataset for further processing +or click on 'show Toolbox request' at the bottom of the page, copy the code, and open +the CDS toolbox editor. + +The code to manipulate climate data as used in the `vr_run` example is available +[here](../../../virtual_rainforest/example_data/generation_scripts/climate_example_data.py). ### Toolbox template CORDEX-SEA diff --git a/docs/source/data_recipes/ERA5_preprocessing_example.md b/docs/source/data_recipes/ERA5_preprocessing_example.md deleted file mode 100644 index 3ffe3d174..000000000 --- a/docs/source/data_recipes/ERA5_preprocessing_example.md +++ /dev/null @@ -1,215 +0,0 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- - -# Simple climate data pre-processing example for dummy model - -This section illustrates how to perform simple manipulations to adjust ERA5-Land data to -use in the Virtual Rainforest. This includes reading climate data from netcdf, -converting the data into an input format that is suitable for the abiotic module (e.g. -Kelvin to Celsius conversion), adding further required variables, and writing the output -in a new netcdf file. -**This does not include spatially interpolating coarser resolution climate data** -**and including the effects of local topography**. - -## Dummy data set - -Example file: [ERA5_land.nc](./ERA5_land.nc) - -### Metadata - -- Muñoz-Sabater,J. et al: ERA5-Land: A state-of-the-art global reanalysis dataset for - land applications, Earth Syst. Sci. Data,13, 4349–4383, 2021. - [https://doi.org/10.5194/essd-13-4349-2021](https://doi.org/10.5194/essd-13-4349-2021) - . - -- Product type: Monthly averaged reanalysis - -- Variable: 2m dewpoint temperature, 2m temperature, Surface pressure, Total - precipitation - -- Year: 2013, 2014 - -- Month: January, February, March, April, May, June, July, August, September, October, - November, December - -- Time: 00:00 - -- Sub-region extraction: North 6°, West 116°, South 4°, East 118° - -- Format: NetCDF3 - -## Code example - -### 1. Load the data - -```{code-cell} ipython3 -import xarray as xr -import numpy as np -from xarray import DataArray - -dataset = xr.open_dataset("./ERA5_land.nc") -dataset -``` - -### 2. Convert temperatures units - -The standard output unit of ERA5-Land temperatures is Kelvin which we need to convert -to degree Celsius for the Virtual Rainforest. This includes 2m air temperature and -2m dewpoint temperature which are used to calculate relative humidity in next step. - -```{code-cell} ipython3 -dataset["t2m_C"] = dataset["t2m"]-273.15 # 2m air temperature -dataset["d2m_C"] = dataset["d2m"]-273.15 # 2m dewpoint temperature -``` - -### 3. Calculate relative humidity - -Relative humidity (RH) is not a standard output from ERA5-Land but can be calculated -from 2m dewpoint temperature (DPT) and 2m air temperature (T) as follows: - -$$ RH = \frac{100\exp(17.625 \cdot DPT)/(243.04+DPT)} - {\exp(17.625 \cdot T)/(243.04+T)} -$$ - -```{code-cell} ipython3 -dataset["rh2m"] = ( - 100.0 - * (np.exp(17.625 * dataset["d2m_C"] / (243.04 + dataset["d2m_C"])) - / np.exp(17.625 * dataset["t2m_C"] / (243.04 + dataset["t2m_C"]))) - ) -``` - -### 4. Convert precipitation units - -The standard output unit for total precipitation in ERA5-Land is meters which we need to -convert to millimeters. Further, the data represents mean daily accumulated -precipitation for the 9x9km grid box, so the value has to be scaled to monthly (here 30 -days). - -```{code-cell} ipython3 -dataset["tp_mm"] = dataset["tp"]*1000*30 -``` - -### 5. Convert surface pressure units - -The standard output unit for surface pressure in ERA5-Land is Pascal (Pa) which we need -to convert to Kilopascal (kPa). - -```{code-cell} ipython3 -dataset["sp_kPa"] = dataset["sp"]/1000 -``` - -### 6. Clean dataset and rename variables - -In this step, we delete the initial temperature variables (K), precipitation (m), and -surface pressure(Pa) and rename the remaining variables according to the Virtual -Rainforest naming convention -(see [here](../../../virtual_rainforest/data_variables.toml) ). - -```{code-cell} ipython3 -dataset_cleaned = dataset.drop_vars(["d2m",'d2m_C',"t2m","tp","sp"]) -dataset_renamed = dataset_cleaned.rename({ - 'sp_kPa':'atmospheric_pressure_ref', - 'tp_mm':'precipitation', - 't2m_C':'air_temperature_ref', - 'rh2m': 'relative_humidity_ref', - }) -dataset_renamed.data_vars -``` - -### 7. Add further required variables - -In addition to the variables from the ERA5-Land datasset, a time series of atmospheric -$\ce{CO_{2}}$ is needed. We add this here as a constant field. Mean annual temperature -is calculated from the full time series of air temperatures; in the future, this should -be done for each year. - -```{code-cell} ipython3 -dataset_renamed['atmospheric_co2_ref'] = DataArray( - np.full_like(dataset_renamed['air_temperature_ref'],400), - dims=['time', 'latitude', 'longitude'], -) -dataset_renamed['mean_annual_temperature'] = ( - dataset_renamed["air_temperature_ref"].mean(dim = 'time') - ) -dataset_renamed.data_vars -``` - -### 8. Change coordinates to x-y in meters - -The following code segment changes the coordinate names from `longitude/latitude` to -`x/y` and the units from `minutes` to `meters`. The ERA5-Land coordinates are treated as -the centre points of the grid cells which means that when setting up the grid, an offset -of 4.5 km has to be added (see Section 11). - -```{code-cell} ipython3 -dataset_xy = dataset_renamed.rename_dims({'longitude':'x','latitude':'y'}).assign_coords({'x':np.arange(0,180000,9000),'y':np.arange(0,180000,9000)}).drop({'longitude','latitude'}) -dataset_xy.coords -``` - -### 9. Scale to 90 m resolution - -The Virtual Rainforest is run on a 90 x 90 m grid. This means that some form of spatial -downscaling has to be applied to the dataset, for example by spatially interpolating -coarser resolution climate data and including the effects of local topography. -**This is not yet implemented!** - -For the purpose of a dummy simulation in the development stage, the coordinates can be -overwritten to match the Virtual Rainforest grid and we can select a smaller area. -When setting up the grid (see Section 11), an offset of 45 m has to be added. Note that -the resulting dataset does no longer match a digital elevation model for the area! - -```{code-cell} ipython3 -dataset_xy_100 = dataset_renamed.rename_dims({'longitude':'x','latitude':'y'}).assign_coords({'x':np.arange(0,1800,90),'y':np.arange(0,1800,90)}).drop({'longitude','latitude'}) -dataset_xy_dummy = dataset_xy_100.isel(x=np.arange(9),y=np.arange(9)) -dataset_xy_dummy.coords -``` - -### 10. Add time_index - -The dummy model iterates over time indices rather than real datetime. Therefore, we add -a `time_index` coordinate to the dataset: - -```{code-cell} ipython3 -dataset_xy_timeindex = dataset_xy_dummy.rename_dims({'time':'time_index'}).assign_coords({'time_index':np.arange(0,24,1)}) -dataset_xy_timeindex.coords -``` - -### 11. Save netcdf - -Once we confirmed that our dataset is complete and our calculations are correct, we save -it as a new netcdf file. This can then be fed into the code data loading system here -{mod}`~virtual_rainforest.core.data`. - -```python -dataset_xy_timeindex.to_netcdf("./ERA5_land_dummy.nc") -``` - -### 11. Update grid config `TOML` - -The final step is to add the grid information to the grid config `TOML` to load this -data correctly when setting up a Virtual Rainforest Simulation, [see here](../virtual_rainforest/core/config.md) -. Here, we can also add the 45m offset to position the coordinated at the -centre of the grid cell. - -```toml -[core.grid] -cell_nx = 9 -cell_ny = 9 -cell_area = 8100 -xoff = -45.0 -yoff = -45.0 -``` diff --git a/docs/source/data_recipes/climate_data_recipes.md b/docs/source/data_recipes/climate_data_recipes.md index 88434ba09..5f061a9bd 100644 --- a/docs/source/data_recipes/climate_data_recipes.md +++ b/docs/source/data_recipes/climate_data_recipes.md @@ -2,16 +2,97 @@ This section provides examples for climate data downloading and simple pre-processing. -The [Copernicus climate data store](./CDS_toolbox_template.md) section describes how to -download climate data from the Copernicus +The [Copernicus climate data store](./CDS_toolbox_template.md) section contains a list +of recommended data sets to run the Virtual Rainforest and describes how to download +climate data from the Copernicus [Climate Data Store](https://cds.climate.copernicus.eu/) (CDS) and basic pre-processing options using the [CDS toolbox](https://cds.climate.copernicus.eu/cdsapp#!/toolbox). + +```{note} At present, the pre-processing does not include scaling or topographic adjustment. +``` + +Metadata: + +* Muñoz-Sabater,J. et al: ERA5-Land: A state-of-the-art global reanalysis dataset for + land applications, Earth Syst. Sci. Data,13, 4349-4383, 2021. + [https://doi.org/10.5194/essd-13-4349-2021](https://doi.org/10.5194/essd-13-4349-2021) +* Product type: Monthly averaged reanalysis +* Variable: 2m dewpoint temperature, 2m temperature, Surface pressure, Total + precipitation +* Year: 2013, 2014 +* Month: January, February, March, April, May, June, July, August, September, October, + November, December +* Time: 00:00 +* Sub-region extraction: North 6°, West 116°, South 4°, East 118° +* Format: NetCDF3 + +We have used a simple recipe from this data source to create the climate data used in +the [example data](../virtual_rainforest/example_data.md). The code in that recipe is +shown below: + +````{admonition} climate_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/climate_example_data.py +``` +```` + +In more detail, that script carries out the main steps perfomed to create the following +input variables for the Virtual Rainforest: + +* air temperature, [C] +* relative humidity, [-] +* atmospheric pressure, [kPa] +* precipitation, [mm month^-1] +* atmospheric $\ce{CO_{2}}$ concentration, [ppm] +* mean annual temperature, [C] + +## Adjustment of units + +The standard output unit of ERA5-Land temperatures is Kelvin which needs to be converted +to degree Celsius for the Virtual Rainforest. This includes 2m air temperature and +2m dewpoint temperature which are used to calculate relative humidity later. +The standard output unit for total precipitation in ERA5-Land is meters which we need +to convert to millimeters. Further, the data represents mean daily accumulated +precipitation for the 9x9km grid box, so the value has to be scaled to monthly (here +30 days). +The standard output unit for surface pressure in ERA5-Land is Pascal (Pa) which we +need to convert to Kilopascal (kPa). + +## Addition of missing variables + +In addition to the variables from the ERA5-Land data, a time series of atmospheric +$\ce{CO_{2}}$ is needed. We add this here as a constant field across all grid cells and +vertical layers. Mean annual temperature is calculated from the full time series of air +temperatures; in the future, this should be done for each year. + +Relative humidity (RH) is also not a standard output from ERA5-Land but can be +calculated from 2m dewpoint temperature (DPT) and 2m air temperature (T) as follows: + +$$ RH = \frac{100\exp(17.625 \cdot DPT)/(243.04+DPT)} + {\exp(17.625 \cdot T)/(243.04+T)} +$$ + +## Matching Virtual Rainforest grid and naming conventions + +Once all input units are adjusted, the variables are re-named according to the Virtual +Rainforest naming convention. The coordinate names have to be changed from +`longitude/latitude` to `x/y` and the units from `minutes` to `meters`. The ERA5-Land +coordinates are treated as the centre points of the grid cells which means that when +setting up the grid, an offset of 4.5 km has to be added. + +```{note} +The example data is run using a 90 x 90 m grid. This means that some form of +spatial downscaling has to be applied to the dataset, for example by spatially +interpolating coarser resolution climate data and including the effects of local +topography. This is not yet implemented! +``` + +For the purpose of a example data simulation in the development stage, the script +curently selects a 9 by 9 sample of the grid and overwrites the coordinates to align to +the example grid resolution. Note that the resulting dataset does no longer match a +digital elevation model for the area! -The [Create dummy climate data](./ERA5_preprocessing_example.md) section illustrates -how to perform simple manipulations to adjust ERA5 data to use in the Virtual -Rainforest. This includes reading climate data from NetCDF, converting -the data into an input formate that is suitable for the abiotic module (e.g. Kelvin to -Celsius conversion), adding further required variables, and writing the output in a new -netcdf file. This does not include scaling or topographic adjustment. +At the moment, the dummy model iterates over time indices rather than real datetime. +Therefore, we add a `time_index` dimension and coordinate to the dataset. diff --git a/docs/source/data_recipes/create_dummy_elevation.md b/docs/source/data_recipes/create_dummy_elevation.md deleted file mode 100644 index 4975766dc..000000000 --- a/docs/source/data_recipes/create_dummy_elevation.md +++ /dev/null @@ -1,61 +0,0 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- - -# Elevation data for dummy module - -This section explains how to create a dummy elevation map from a digital elevation model -([SRTM](https://www2.jpl.nasa.gov/srtm/)) which is required to run a dummy hydrology -model. To cover an area similar to the climate dummy data, we included a step that -reduces that spatial resolution to match the 9 x 9 grid we set for the dummy model. -The initial data covers the region 4°N 116°E to 5°N 117°E, see -[SAFE wiki](https://safeproject.net/dokuwiki/safe_gis/srtm) for reference and download. - -```python -import xarray as xr -import numpy as np -from xarray import DataArray -import rioxarray - -# 1. Load DEM in 30m resolution -dem = rioxarray.open_rasterio('./SRTM_UTM50N_processed.tif') - -# 2. Resample DEM to 90 m -# Specify the original grid coordinates -x = dem['x'].values -y = dem['y'].values - -# 3. Create a new grid of longitude and latitude coordinates with higher resolution -new_resolution=26000 -new_x = np.arange(x.min(), x.max(), new_resolution) -new_y = np.arange(y.min(), y.max(), new_resolution) - -# 4. Project DEM to new mesh -dem_9x9 = dem.interp(x = new_x, y = new_y) - -# 5. Reduce the data to reuired information for netcdf -dem_cleaned= dem_9x9.drop_vars(['band','spatial_ref']).squeeze('band').drop_indexes(['x','y']).rename('elevation') - -# 6. Change coordinates to match dummy data -# How far the center of each cell is from the origin. This applies to both the x and y -# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m -# from the origin in the x direction and 270m in the y direction. -cell_displacements = [0, 90, 180, 270, 360, 450, 540, 630, 720] - -dem_placed = dem_cleaned.assign_coords({'x': cell_displacements, 'y': cell_displacements}) - -# 7. Save to netcdf -dem_placed.to_netcdf('../../../example_data/elevation_dummy.nc') -``` diff --git a/docs/source/data_recipes/litter_dummy.md b/docs/source/data_recipes/litter_dummy.md deleted file mode 100644 index 328580ed5..000000000 --- a/docs/source/data_recipes/litter_dummy.md +++ /dev/null @@ -1,81 +0,0 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- - -# Necessary litter data for dummy module - -This section explains how to generate the data required to run the litter component of -the dummy model. **It is important to note that none of this data is real data**. -Instead, the code below creates some typical values for the required input data and -generates a simple spatial pattern. Descriptions of the relevant litter pools can be -found [here](../virtual_rainforest/soil/soil_details). - -```{code-cell} ipython3 -import numpy as np -from xarray import Dataset - -# How far the center of each cell is from the origin. This applies to both the x and y -# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m -# from the origin in the x direction and 270m in the y direction. -cell_spacing = np.arange(0, 721, 90) -gradient = np.multiply.outer(cell_spacing/90, cell_spacing/90) - -# Generate a range of plausible values (0.05-0.5) for the above ground metabolic litter -# pools [kg C m^-2]. -above_metabolic_values = 0.05 + 0.45 * (gradient) / (64) - -# Generate a range of plausible values (0.05-0.5) for the above ground structural litter -# pools [kg C m^-2]. -above_structural_values = 0.05 + 0.45 * (gradient) / (64) - -# Generate a range of plausible values (4.75-12.0) for the woody litter pools [kg C m^-2]. -woody_values = 4.75 + 7.25 * (gradient) / (64) - -# Generate a range of plausible values (0.03-0.08) for the below ground metabolic litter -# pools [kg C m^-2]. -below_metabolic_values = 0.03 + 0.05 * (gradient) / (64) - -# Generate a range of plausible values (0.05-0.125) for the below ground structural litter -# pools [kg C m^-2]. -below_structural_values = 0.05 + 0.075 * (gradient) / (64) - -# Generate a range of plausible values (0.01-0.9) for lignin proportions of the pools. -lignin_values = 0.01 + 0.89 * (gradient) / (64) - -# Make dummy litter dataset -dummy_litter_data = Dataset( - data_vars=dict( - litter_pool_above_metabolic=(["x", "y"], above_metabolic_values), - litter_pool_above_structural=(["x", "y"], above_structural_values), - litter_pool_woody=(["x", "y"], woody_values), - litter_pool_below_metabolic=(["x", "y"], below_metabolic_values), - litter_pool_below_structural=(["x", "y"], below_structural_values), - lignin_above_structural=(["x", "y"], lignin_values), - lignin_woody=(["x", "y"], lignin_values), - lignin_below_structural=(["x", "y"], lignin_values), - ), - coords=dict( - x=(["x"], cell_spacing), - y=(["y"], cell_spacing), - ), - attrs=dict(description="Litter data for dummy Virtual Rainforest model."), -) -dummy_litter_data -``` - -```python -# Save the dummy litter data file as netcdf -dummy_litter_data.to_netcdf("./dummy_litter_data.nc") -``` diff --git a/docs/source/data_recipes/plant_dummy.md b/docs/source/data_recipes/plant_dummy.md deleted file mode 100644 index 8d7c132c3..000000000 --- a/docs/source/data_recipes/plant_dummy.md +++ /dev/null @@ -1,94 +0,0 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- - -# Essential plant data for dummy model - -The first dummy version of the Virtual Rainforest does not include a `plant` model. -Therefore, the variables that would be initialized by the `plant` module need to be -provided as an input to the `data` object at the configuration stage. The following code -section provides a recipe to create such an input conform with the dummy data for -[climate](./ERA5_preprocessing_example.md) and soil (add link here). - -```{code-cell} ipython3 -import numpy as np -from xarray import DataArray, Dataset - -from virtual_rainforest.core.utils import set_layer_roles - -layer_roles = set_layer_roles(10, [-0.25, -1.0]) - -# Compile a dataset - -plant_dummy_dataset = Dataset() -layer_heights = np.repeat( - a=[32.0, 30.0, 20.0, 10.0, np.nan, 1.5, 0.1, -0.1, -1.0], - repeats=[1, 1, 1, 1, 7, 1, 1, 1, 1], - ) -plant_dummy_dataset["layer_heights"] = DataArray( - np.broadcast_to(layer_heights, (81, 15)).T, - dims=["layers", "cell_id"], - coords={ - "layers": np.arange(15), - "layer_roles": ("layers", layer_roles), - "cell_id": np.arange(0,81), - }, - name="layer_heights", - ) - -leaf_area_index = np.repeat(a=[np.nan, 1.0, np.nan], repeats=[1, 3, 11]) -plant_dummy_dataset["leaf_area_index"] = DataArray( - np.broadcast_to(leaf_area_index, (81, 15)).T, - dims=["layers", "cell_id"], - coords={ - "layers": np.arange(15), - "layer_roles": ("layers", layer_roles), - "cell_id": np.arange(0,81), - }, - name="leaf_area_index", -) - -layer_leaf_mass = np.repeat(a=[np.nan, 10000.0, np.nan], repeats=[1, 3, 11]) -plant_dummy_dataset["layer_leaf_mass"] = DataArray( - np.broadcast_to(leaf_area_index, (81, 15)).T, - dims=["layers", "cell_id"], - coords={ - "layers": np.arange(15), - "layer_roles": ("layers", layer_roles), - "cell_id": np.arange(0,81), - }, - name="layer_leaf_mass", -) - - -evapotranspiration = np.repeat(a=[np.nan, 20.0, np.nan], repeats=[1, 3, 11]) -plant_dummy_dataset["evapotranspiration"] = DataArray( - np.broadcast_to(evapotranspiration, (81, 15)).T, - dims=["layers", "cell_id"], - coords={ - "layers": np.arange(15), - "layer_roles": ("layers", layer_roles), - "cell_id": np.arange(0,81), - }, - name="evapotranspiration", -) - -plant_dummy_dataset -``` - -```python -# write to NetCDF -plant_dummy_dataset.to_netcdf("./plants_dummy.nc") -``` diff --git a/docs/source/data_recipes/runoff_dummy.md b/docs/source/data_recipes/runoff_dummy.md deleted file mode 100644 index bd2bfba4c..000000000 --- a/docs/source/data_recipes/runoff_dummy.md +++ /dev/null @@ -1,48 +0,0 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- - -# Create surface runoff dummy data - -This section explains how to randomly generate normally distributed surface runoff data -to run `vr_run` with the example data installed by `vr_run --install-example` without -the SPLASH implementation. - -```{code-cell} ipython3 -import numpy as np -from xarray import DataArray - -# Randomly gnerate surface runoff with normal distribution -mu, sigma = 10, 2 # mean and standard deviation -s = np.random.default_rng(seed=42).normal(mu, sigma, 81) - -# How far the center of each cell is from the origin. This applies to both the x and y -# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m -# from the origin in the x direction and 270m in the y direction. -cell_displacements = [0, 90, 180, 270, 360, 450, 540, 630, 720] - -runoff = DataArray( - s.reshape(9,9), - dims=['x','y'], - coords={'x': cell_displacements,'y': cell_displacements}, - name='surface_runoff', - ) -runoff -``` - -``` python -# Save to netcdf -runoff.to_netcdf('../../../example_data/surface_runoff_dummy.nc') -``` diff --git a/docs/source/development/design/core.md b/docs/source/development/design/core.md index fc858fc97..df17d082c 100644 --- a/docs/source/development/design/core.md +++ b/docs/source/development/design/core.md @@ -101,9 +101,7 @@ concept that matters! ```toml [core.data.soil_depth] -values = {forest_cover.M=0.1, - forest_cover.L=0.5, - forest_cover.F=1.0} +values = {forest_cover.M=0.1, forest_cover.L=0.5, forest_cover.F=1.0} ``` These use one of the first three approaches above, which index _individual_ diff --git a/docs/source/index.md b/docs/source/index.md index 0c9600cde..d5a171b0d 100644 --- a/docs/source/index.md +++ b/docs/source/index.md @@ -65,6 +65,7 @@ team. virtual_rainforest/module_overview.md virtual_rainforest/usage.md + virtual_rainforest/example_data.md virtual_rainforest/main_simulation.md virtual_rainforest/constants.md virtual_rainforest/soil/soil_details.md @@ -161,16 +162,10 @@ team. ```{eval-rst} .. toctree:: :maxdepth: 4 - :caption: Data recipes + :caption: Climate data resources Overview climate data Copernicus climate data store - Create dummy climate data - Create dummy soil data - Create dummy litter data - Create dummy plant data - Create dummy elevation data - Create dummy surface runoff data ``` ```{eval-rst} diff --git a/docs/source/virtual_rainforest/example_data.md b/docs/source/virtual_rainforest/example_data.md new file mode 100644 index 000000000..5305fd7d1 --- /dev/null +++ b/docs/source/virtual_rainforest/example_data.md @@ -0,0 +1,340 @@ +# Virtual Rainforest example data + +Example data is included with Virtual Rainforest to provide an introduction to the file +formats and configuration. Using this data is described in the [usage](./usage.md) +documentation and this page describes the structure and contents of the example data +folder. + +It might be useful to install the `vr_example` directory to a location of your choice +when reading these notes, using the command shown below, but the contents of the key +files are also linked on this page. + +```shell +vr_run --install-example /location/path/ +``` + +## Example data directory structure + +The `vr_example` directory contains the following sub-directories: + +1. The `config` directory contains three configuration files that combine to provide a + basic complete configuration for the example data. + +1. The `data` directory contains NetCDF format files containing the variables required + to initialise the model and then iterate over a time series. + +1. The empty `out` directory is simply used as a location to store model outputs. + +1. The `generation_scripts` directory contains Python scripts that are used to generate + the contents of the `data` directory. You won't typically need to look at these, but + they provide simple recipes for creating or editing the input data files. + +1. A `source` directory that contains files used to create the input data files. + +## Configuration files + +The example configuration files are: + +* The **`vr_run.toml`** configures the models to be used in the simulation and the order + in which they are initialised and updated. + +````{admonition} config/vr_run.toml +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/config/vr_run.toml +``` +```` + +* The **`data_config.toml`** file configures the initial variables to be loaded and sets + the paths to the source files providing those variables. + +````{admonition} config/data_config.toml +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/config/data_config.toml +``` +```` + +* The **`animal_functional_groups.toml`** file provides basic configuration for the + `animals` model to set functional group definitions. + +````{admonition} config/animal_functional_groups.toml +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/config/animal_functional_groups.toml +``` +```` + +* The **`plant_config.toml`** file provides basic configuration for the + `plants` model to set functional group definitions. + +````{admonition} config/plant_config.toml +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/config/plant_config.toml +``` +```` + +## Example data files + +The [data configuration +file](../../../virtual_rainforest/example_data/config/data_config.toml) sets up the +links between the variables used in the models and the provided data file in which they +are stored. The NetCDF files in the `data` directory are all generated by the Python +scripts provided in the `generation_scripts` directory, which provide some simple +recipes for creating various kinds of input data and saving them in the required format. + +```{warning} +All of these data files currently contain artificial data to test the program flow and +data handling of the Virtual Rainforest simulation. Although some values are taken from +real source data, this is **not yet a meaningful real world example dataset**. +``` + +The **`common.py`** script file defines some common elements that are used across the +data generation scripts, primarily the spatial grid to be used and the dates for time +series data. + +````{admonition} common.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/common.py +``` +```` + +### Elevation data + +The `data/example_elevation_data.nc` file provides: + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - elevation + - `elevation` + - m + - XY +``` + +````{admonition} elevation_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/elevation_example_data.py +``` +```` + +This code creates a dummy elevation map from a digital elevation model +([SRTM](https://www2.jpl.nasa.gov/srtm/)) which is required to run, amongst others, the +{mod}`~virtual_rainforest.models.hydrology.hydrology_model`. The initial data covers the +region 4°N 116°E to 5°N 117°E, see [SAFE +wiki](https://safeproject.net/dokuwiki/safe_gis/srtm) for reference and download. We +reduce the initial 30m spatial resolution to match the 9 x 9 grid of the example +simulation while covering an area similar to the climate dummy data. + +### Climate data + +The `example_climate_data.nc` file provides: + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - air temperature + - `air_temperature_ref` + - °C + - XYT +* - relative humidity + - `relative_humidity_ref` + - unitless + - XYT +* - atmospheric pressure + - `atmospheric_pressure_ref` + - kPa + - XYT +* - precipitation + - `precipitation` + - mm $\textrm{month}^{-1}$ + - XYT +* - atmospheric $\ce{CO_{2}}$ concentration + - `atmospheric_co2_ref` + - ppm + - XYT +* - mean annual temperature + - `mean_annual_temperature` + - °C + - XY +``` + +````{admonition} climate_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/climate_example_data.py +``` +```` + +The dummy climate data for the example simulation is based on monthly ERA5-Land data +which can be downloaded from the [Copernicus climate data store](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview). +See the [climate data recipes page](../data_recipes/climate_data_recipes.md) for more +details. + +### Hydrology data + +The `example_surface_runoff_data.nc` file provides: + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - surface runoff + - `surface_runoff` + - mm + - XY +``` + +````{admonition} runoff_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/runoff_example_data.py +``` +```` + +The hydrology model requires an initial surface runoff field to calculate accumulated +surface runoff. This value is currently created using a normal distribution, and +adjusted to Virtual Rainforest conventions, but will in the future be estimated from +rainfall data using the SPLASH model. + +### Soil data + +The `example_soil_data.nc` file provides: + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - pH + - `pH` + - unitless + - XY +* - Bulk soil density + - `bulk_density` + - kg $\textrm{m}^{-3}$ + - XY +* - Soil clay fraction + - `clay_fraction` + - unitless + - XY +* - Soil low molecular weight carbon pool + - `soil_c_pool_lmwc` + - kg C $\textrm{m}^{-3}$ + - XY +* - Soil mineral associated organic matter carbon pool + - `soil_c_pool_maom` + - kg C $\textrm{m}^{-3}$ + - XY +* - Soil microbial carbon pool + - `soil_c_pool_microbe` + - kg C $\textrm{m}^{-3}$ + - XY +* - Soil particulate organic matter carbon pool + - `soil_c_pool_pom` + - kg C $\textrm{m}^{-3}$ + - XY +* - Soil particulate organic matter enzyme pool + - `soil_enzyme_pom` + - kg C $\textrm{m}^{-3}$ + - XY +* - Soil mineral associated organic matter enzyme pool + - `soil_enzyme_maom` + - kg C $\textrm{m}^{-3}$ + - XY +``` + +This code creates a set of plausible values for which the +{mod}`~virtual_rainforest.models.soil.soil_model` absolutely has to function sensibly +for. Descriptions of the soil pools can be found [here](./soil/soil_details.md). + +````{admonition} soil_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/soil_example_data.py +``` +```` + +### Litter data + +The `example_litter_data.nc` file provides: + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - above ground metabolic litter pools + - `litter_pool_above_metabolic` + - kg C $\textrm{m}^{-2}$ + - XY +* - above ground structural litter pools + - `litter_pool_above_structural` + - kg C $\textrm{m}^{-2}$ + - XY +* - woody litter pools + - `litter_pool_woody` + - kg C $\textrm{m}^{-2}$ + - XY +* - below ground metabolic litter pools + - `litter_pool_below_metabolic` + - kg C $\textrm{m}^{-2}$ + - XY +* - below ground structural litter pools + - `litter_pool_below_structural` + - kg C $\textrm{m}^{-2}$ + - XY +* - lignin proportion of above ground structural litter + - `lignin_above_structural` + - unitless + - XY +* - lignin proportion of woody litter + - `lignin_woody` + - unitless + - XY +* - lignin proportion of below ground structural litter + - `lignin_below_structural` + - unitless + - XY +``` + +The generation script creates a set of plausible values for which the {mod}`~virtual_rainforest.models.litter.litter_model` +absolutely has to function sensibly for. +Descriptions of the litter pools can be found [here](./soil/soil_details.md). + +````{admonition} litter_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/litter_example_data.py +``` +```` + +### Plant data + +The `example_plant_data.nc` file provides the following variables. Note that the plant +data introduces a new axis dimension for the cohorts of plant functional groups (C). In +this example data, a single cohort of each of the two configured functional groups is +added for each of the 81 grid cells, giving 162 entries along the cohort axis. + +```{list-table} +* - Variable + - Name + - Unit + - Dims +* - Cohort plant functional type + - `plant_cohorts_pft` + - string + - C +* - Cohort diameter at breast height + - `plant_cohorts_dbh` + - m + - C +* - Photosynthetic photon flux density + - `photosynthetic_photon_flux_density` + - µ mol m$^{-2}$ s$^{-1}$ + - XYT +``` + +````{admonition} plant_example_data.py +:class: dropdown +```{literalinclude} ../../../virtual_rainforest/example_data/generation_scripts/plant_example_data.py +``` +```` diff --git a/docs/source/virtual_rainforest/usage.md b/docs/source/virtual_rainforest/usage.md index d19d38ed1..b9406f048 100644 --- a/docs/source/virtual_rainforest/usage.md +++ b/docs/source/virtual_rainforest/usage.md @@ -21,18 +21,24 @@ access to all relevant dependencies. ## Running an example Virtual Rainforest simulation -Some example data is included with Virtual Rainforest to provide an introduction to the -file formats and configuration. To try Virtual Rainforest using this example data, you -first need to install the data to a location of your choice. The command below will -create the `vr_example` directory at the location you choose and install all of the -configuration and data files to run a model. +Some example data is included with Virtual Rainforest to provide +an introduction to the file formats and configuration. To try Virtual Rainforest using +this example data, you first need to install the data to a location of your choice. The +command below will create the `vr_example` directory at the location you choose and +install all of the configuration and data files to run a model. ```shell -vr_run --install-example /path/to/install/data +vr_run --install-example /path/ ``` -You can then investigate the files needed to run the model and run the model itself: +You can then run the model itself: ```shell -vr_run /path/to/install/data/vr_example +vr_run /path/vr_example/config \ + --outpath /path/vr_example/config/out \ + --logfile /path/vr_example/out/vr_example.log ``` + +Once you want to start digging into the structure of the model and inputs, the [example +data](./example_data.md) pages provides a detailed description of the contents of the +`vr_example` directory. diff --git a/poetry.lock b/poetry.lock index 342b0e4d9..0a7def311 100644 --- a/poetry.lock +++ b/poetry.lock @@ -16,62 +16,56 @@ python-versions = "*" [[package]] name = "asttokens" -version = "2.2.1" +version = "2.4.1" description = "Annotate AST trees with source code positions" category = "dev" optional = false python-versions = "*" [package.dependencies] -six = "*" +six = ">=1.12.0" [package.extras] -test = ["astroid", "pytest"] +astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] +test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] [[package]] name = "attrs" -version = "22.2.0" +version = "23.2.0" description = "Classes Without Boilerplate" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.extras] -cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"] -dev = ["attrs[docs,tests]"] -docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"] -tests = ["attrs[tests-no-zope]", "zope.interface"] -tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"] +tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"] [[package]] name = "autodocsumm" -version = "0.2.10" +version = "0.2.11" description = "Extended sphinx autodoc including automatic autosummaries" category = "dev" optional = false python-versions = ">=3.7" [package.dependencies] -Sphinx = ">=2.2,<7.0" +Sphinx = ">=2.2,<8.0" [[package]] name = "babel" -version = "2.11.0" +version = "2.14.0" description = "Internationalization utilities" category = "dev" optional = false -python-versions = ">=3.6" - -[package.dependencies] -pytz = ">=2015.7" +python-versions = ">=3.7" -[[package]] -name = "backcall" -version = "0.2.0" -description = "Specifications for callback functions passed in to an API" -category = "dev" -optional = false -python-versions = "*" +[package.extras] +dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] [[package]] name = "black" @@ -87,7 +81,6 @@ mypy-extensions = ">=0.4.3" pathspec = ">=0.9.0" platformdirs = ">=2" tomli = {version = ">=1.1.0", markers = "python_full_version < \"3.11.0a7\""} -typing-extensions = {version = ">=3.10.0.0", markers = "python_version < \"3.10\""} [package.extras] colorama = ["colorama (>=0.4.3)"] @@ -97,7 +90,7 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "certifi" -version = "2022.12.7" +version = "2023.11.17" description = "Python package for providing Mozilla's CA Bundle." category = "main" optional = false @@ -105,22 +98,22 @@ python-versions = ">=3.6" [[package]] name = "cffi" -version = "1.15.1" +version = "1.16.0" description = "Foreign Function Interface for Python calling C code." category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.8" [package.dependencies] pycparser = "*" [[package]] name = "cfgv" -version = "3.3.1" +version = "3.4.0" description = "Validate configuration and produce human readable error messages." category = "dev" optional = false -python-versions = ">=3.6.1" +python-versions = ">=3.8" [[package]] name = "cftime" @@ -135,15 +128,15 @@ numpy = {version = ">1.13.3", markers = "python_version < \"3.12.0.rc1\""} [[package]] name = "charset-normalizer" -version = "3.0.1" +version = "3.3.2" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.7.0" [[package]] name = "click" -version = "8.1.3" +version = "8.1.7" description = "Composable command line interface toolkit" category = "main" optional = false @@ -154,11 +147,11 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""} [[package]] name = "cloudpickle" -version = "2.2.1" -description = "Extended pickling support for Python objects" +version = "3.0.0" +description = "Pickler class to extend the standard pickle.Pickler functionality" category = "main" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" [[package]] name = "colorama" @@ -170,43 +163,43 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7 [[package]] name = "comm" -version = "0.1.2" +version = "0.2.1" description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc." category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" [package.dependencies] -traitlets = ">=5.3" +traitlets = ">=4" [package.extras] test = ["pytest"] [[package]] name = "contourpy" -version = "1.0.7" +version = "1.2.0" description = "Python library for calculating contours of 2D quadrilateral grids" category = "dev" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" [package.dependencies] -numpy = ">=1.16" +numpy = ">=1.20,<2.0" [package.extras] -bokeh = ["bokeh", "chromedriver", "selenium"] -docs = ["furo", "sphinx-copybutton"] -mypy = ["contourpy[bokeh]", "docutils-stubs", "mypy (==0.991)", "types-Pillow"] -test = ["Pillow", "matplotlib", "pytest"] -test-no-images = ["pytest"] +bokeh = ["bokeh", "selenium"] +docs = ["furo", "sphinx (>=7.2)", "sphinx-copybutton"] +mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.6.1)", "types-Pillow"] +test = ["Pillow", "contourpy[test-no-images]", "matplotlib"] +test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"] [[package]] name = "coverage" -version = "7.1.0" +version = "7.4.0" description = "Code coverage measurement for Python" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.11.0a6\" and extra == \"toml\""} @@ -216,22 +209,26 @@ toml = ["tomli"] [[package]] name = "cycler" -version = "0.11.0" +version = "0.12.1" description = "Composable style cycles" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" + +[package.extras] +docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] +tests = ["pytest", "pytest-cov", "pytest-xdist"] [[package]] name = "dask" -version = "2023.6.0" +version = "2023.12.1" description = "Parallel PyData with Task Scheduling" category = "main" optional = false python-versions = ">=3.9" [package.dependencies] -click = ">=8.0" +click = ">=8.1" cloudpickle = ">=1.5.0" fsspec = ">=2021.09.0" importlib-metadata = ">=4.13.0" @@ -242,19 +239,19 @@ toolz = ">=0.10.0" [package.extras] array = ["numpy (>=1.21)"] -complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)"] -dataframe = ["numpy (>=1.21)", "pandas (>=1.3)"] +complete = ["dask[array,dataframe,diagnostics,distributed]", "lz4 (>=4.3.2)", "pyarrow (>=7.0)", "pyarrow-hotfix"] +dataframe = ["dask[array]", "pandas (>=1.3)"] diagnostics = ["bokeh (>=2.4.2)", "jinja2 (>=2.10.3)"] -distributed = ["distributed (==2023.6.0)"] -test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-xdist"] +distributed = ["distributed (==2023.12.1)"] +test = ["pandas[test]", "pre-commit", "pytest", "pytest-cov", "pytest-rerunfailures", "pytest-timeout", "pytest-xdist"] [[package]] name = "debugpy" -version = "1.6.6" +version = "1.8.0" description = "An implementation of the Debug Adapter Protocol for Python" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [[package]] name = "decorator" @@ -266,7 +263,7 @@ python-versions = ">=3.5" [[package]] name = "distlib" -version = "0.3.6" +version = "0.3.8" description = "Distribution utilities" category = "dev" optional = false @@ -282,7 +279,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" [[package]] name = "dpath" -version = "2.1.4" +version = "2.1.6" description = "Filesystem-like pathing and searching for dictionaries" category = "main" optional = false @@ -290,7 +287,7 @@ python-versions = ">=3.7" [[package]] name = "exceptiongroup" -version = "1.1.0" +version = "1.2.0" description = "Backport of PEP 654 (exception groups)" category = "dev" optional = false @@ -301,18 +298,18 @@ test = ["pytest (>=6)"] [[package]] name = "executing" -version = "1.2.0" +version = "2.0.1" description = "Get the currently executing AST node of a frame, and other information" category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.5" [package.extras] -tests = ["asttokens", "littleutils", "pytest", "rich"] +tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"] [[package]] name = "fastjsonschema" -version = "2.16.2" +version = "2.19.1" description = "Fastest Python implementation of JSON schema" category = "dev" optional = false @@ -323,15 +320,16 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc [[package]] name = "filelock" -version = "3.9.0" +version = "3.13.1" description = "A platform independent file lock." category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.extras] -docs = ["furo (>=2022.12.7)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"] -testing = ["covdefaults (>=2.2.2)", "coverage (>=7.0.1)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-timeout (>=2.1)"] +docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.24)"] +testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)"] +typing = ["typing-extensions (>=4.8)"] [[package]] name = "flake8" @@ -360,16 +358,16 @@ pydocstyle = ">=2.1" [[package]] name = "fonttools" -version = "4.38.0" +version = "4.47.0" description = "Tools to manipulate font files" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.extras] -all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=14.0.0)", "xattr", "zopfli (>=0.1.4)"] +all = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "fs (>=2.2.0,<3)", "lxml (>=4.0,<5)", "lz4 (>=1.7.4.2)", "matplotlib", "munkres", "pycairo", "scipy", "skia-pathops (>=0.5.0)", "sympy", "uharfbuzz (>=0.23.0)", "unicodedata2 (>=15.1.0)", "xattr", "zopfli (>=0.1.4)"] graphite = ["lz4 (>=1.7.4.2)"] -interpolatable = ["munkres", "scipy"] +interpolatable = ["munkres", "pycairo", "scipy"] lxml = ["lxml (>=4.0,<5)"] pathops = ["skia-pathops (>=0.5.0)"] plot = ["matplotlib"] @@ -377,12 +375,12 @@ repacker = ["uharfbuzz (>=0.23.0)"] symfont = ["sympy"] type1 = ["xattr"] ufo = ["fs (>=2.2.0,<3)"] -unicode = ["unicodedata2 (>=14.0.0)"] +unicode = ["unicodedata2 (>=15.1.0)"] woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] [[package]] name = "fsspec" -version = "2023.6.0" +version = "2023.12.2" description = "File-system specification" category = "main" optional = false @@ -414,31 +412,31 @@ tqdm = ["tqdm"] [[package]] name = "greenlet" -version = "2.0.2" +version = "3.0.3" description = "Lightweight in-process concurrent programming" category = "dev" optional = false -python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*" +python-versions = ">=3.7" [package.extras] -docs = ["Sphinx", "docutils (<0.18)"] +docs = ["Sphinx", "furo"] test = ["objgraph", "psutil"] [[package]] name = "hypothesis" -version = "6.68.1" +version = "6.92.2" description = "A library for property-based testing" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] -attrs = ">=19.2.0" +attrs = ">=22.2.0" exceptiongroup = {version = ">=1.0.0", markers = "python_version < \"3.11\""} sortedcontainers = ">=2.1.0,<3.0.0" [package.extras] -all = ["backports.zoneinfo (>=0.2.1)", "black (>=19.10b0)", "click (>=7.0)", "django (>=3.2)", "dpcontracts (>=0.4)", "importlib-metadata (>=3.6)", "lark (>=0.10.1)", "libcst (>=0.3.16)", "numpy (>=1.9.0)", "pandas (>=1.0)", "pytest (>=4.6)", "python-dateutil (>=1.4)", "pytz (>=2014.1)", "redis (>=3.0.0)", "rich (>=9.0.0)", "tzdata (>=2022.7)"] +all = ["backports.zoneinfo (>=0.2.1)", "black (>=19.10b0)", "click (>=7.0)", "django (>=3.2)", "dpcontracts (>=0.4)", "lark (>=0.10.1)", "libcst (>=0.3.16)", "numpy (>=1.17.3)", "pandas (>=1.1)", "pytest (>=4.6)", "python-dateutil (>=1.4)", "pytz (>=2014.1)", "redis (>=3.0.0)", "rich (>=9.0.0)", "tzdata (>=2023.3)"] cli = ["black (>=19.10b0)", "click (>=7.0)", "rich (>=9.0.0)"] codemods = ["libcst (>=0.3.16)"] dateutil = ["python-dateutil (>=1.4)"] @@ -446,27 +444,27 @@ django = ["django (>=3.2)"] dpcontracts = ["dpcontracts (>=0.4)"] ghostwriter = ["black (>=19.10b0)"] lark = ["lark (>=0.10.1)"] -numpy = ["numpy (>=1.9.0)"] -pandas = ["pandas (>=1.0)"] +numpy = ["numpy (>=1.17.3)"] +pandas = ["pandas (>=1.1)"] pytest = ["pytest (>=4.6)"] pytz = ["pytz (>=2014.1)"] redis = ["redis (>=3.0.0)"] -zoneinfo = ["backports.zoneinfo (>=0.2.1)", "tzdata (>=2022.7)"] +zoneinfo = ["backports.zoneinfo (>=0.2.1)", "tzdata (>=2023.3)"] [[package]] name = "identify" -version = "2.5.17" +version = "2.5.33" description = "File identification library for Python" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.extras] license = ["ukkonen"] [[package]] name = "idna" -version = "3.4" +version = "3.6" description = "Internationalized Domain Names in Applications (IDNA)" category = "dev" optional = false @@ -482,19 +480,19 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "importlib-metadata" -version = "6.0.0" +version = "7.0.1" description = "Read metadata from Python packages" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] zipp = ">=0.5" [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] perf = ["ipython"] -testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] +testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"] [[package]] name = "iniconfig" @@ -506,7 +504,7 @@ python-versions = ">=3.7" [[package]] name = "ipykernel" -version = "6.21.1" +version = "6.28.0" description = "IPython Kernel for Jupyter" category = "dev" optional = false @@ -523,7 +521,7 @@ matplotlib-inline = ">=0.1" nest-asyncio = "*" packaging = "*" psutil = "*" -pyzmq = ">=17" +pyzmq = ">=24" tornado = ">=6.1" traitlets = ">=5.4.0" @@ -536,68 +534,63 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio" [[package]] name = "ipython" -version = "8.10.0" +version = "8.19.0" description = "IPython: Productive Interactive Computing" category = "dev" optional = false -python-versions = ">=3.8" +python-versions = ">=3.10" [package.dependencies] -appnope = {version = "*", markers = "sys_platform == \"darwin\""} -backcall = "*" colorama = {version = "*", markers = "sys_platform == \"win32\""} decorator = "*" +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} jedi = ">=0.16" matplotlib-inline = "*" pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""} -pickleshare = "*" -prompt-toolkit = ">=3.0.30,<3.1.0" +prompt-toolkit = ">=3.0.41,<3.1.0" pygments = ">=2.4.0" stack-data = "*" traitlets = ">=5" [package.extras] -all = ["black", "curio", "docrepr", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] +all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"] black = ["black"] -doc = ["docrepr", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] +doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"] kernel = ["ipykernel"] nbconvert = ["nbconvert"] nbformat = ["nbformat"] notebook = ["ipywidgets", "notebook"] parallel = ["ipyparallel"] qtconsole = ["qtconsole"] -test = ["pytest (<7.1)", "pytest-asyncio", "testpath"] -test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"] +test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"] +test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath", "trio"] [[package]] name = "isort" -version = "5.12.0" +version = "5.13.2" description = "A Python utility / library to sort Python imports." category = "dev" optional = false python-versions = ">=3.8.0" [package.extras] -colors = ["colorama (>=0.4.3)"] -pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"] -plugins = ["setuptools"] -requirements-deprecated-finder = ["pip-api", "pipreqs"] +colors = ["colorama (>=0.4.6)"] [[package]] name = "jedi" -version = "0.18.2" +version = "0.19.1" description = "An autocompletion tool for Python that can be used for text editors." category = "dev" optional = false python-versions = ">=3.6" [package.dependencies] -parso = ">=0.8.0,<0.9.0" +parso = ">=0.8.3,<0.9.0" [package.extras] docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"] -qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] -testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] +qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"] +testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] [[package]] name = "jinja2" @@ -615,54 +608,66 @@ i18n = ["Babel (>=2.7)"] [[package]] name = "jsonschema" -version = "4.17.3" +version = "4.20.0" description = "An implementation of JSON Schema validation for Python" category = "main" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] -attrs = ">=17.4.0" -pyrsistent = ">=0.14.0,<0.17.0 || >0.17.0,<0.17.1 || >0.17.1,<0.17.2 || >0.17.2" +attrs = ">=22.2.0" +jsonschema-specifications = ">=2023.03.6" +referencing = ">=0.28.4" +rpds-py = ">=0.7.1" [package.extras] format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"] format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors (>=1.11)"] +[[package]] +name = "jsonschema-specifications" +version = "2023.12.1" +description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +referencing = ">=0.31.0" + [[package]] name = "jupyter-cache" -version = "0.5.0" +version = "1.0.0" description = "A defined interface for working with a cache of jupyter notebooks." category = "dev" optional = false -python-versions = "~=3.7" +python-versions = ">=3.9" [package.dependencies] attrs = "*" click = "*" importlib-metadata = "*" -nbclient = ">=0.2,<0.6" +nbclient = ">=0.2" nbformat = "*" pyyaml = "*" -sqlalchemy = ">=1.3.12,<1.5" +sqlalchemy = ">=1.3.12,<3" tabulate = "*" [package.extras] cli = ["click-log"] -code-style = ["pre-commit (>=2.12,<3.0)"] -rtd = ["jupytext", "myst-nb (>=0.12.3,<0.13.0)", "nbdime", "sphinx-book-theme (>=0.1.1,<0.2.0)", "sphinx-copybutton"] -testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<7)", "pytest-cov", "pytest-regressions", "sympy"] +code-style = ["pre-commit (>=2.12)"] +rtd = ["ipykernel", "jupytext", "myst-nb", "nbdime", "sphinx-book-theme", "sphinx-copybutton"] +testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<8)", "pytest-cov", "pytest-regressions", "sympy"] [[package]] name = "jupyter-client" -version = "8.0.2" +version = "8.6.0" description = "Jupyter protocol implementation and client libraries" category = "dev" optional = false python-versions = ">=3.8" [package.dependencies] -importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""} jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" python-dateutil = ">=2.8.2" pyzmq = ">=23.0" @@ -671,11 +676,11 @@ traitlets = ">=5.3" [package.extras] docs = ["ipykernel", "myst-parser", "pydata-sphinx-theme", "sphinx (>=4)", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling"] -test = ["codecov", "coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] +test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-commit", "pytest", "pytest-cov", "pytest-jupyter[client] (>=0.4.1)", "pytest-timeout"] [[package]] name = "jupyter-core" -version = "5.2.0" +version = "5.7.0" description = "Jupyter core package. A base package on which Jupyter projects rely." category = "dev" optional = false @@ -683,16 +688,16 @@ python-versions = ">=3.8" [package.dependencies] platformdirs = ">=2.5" -pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} +pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} traitlets = ">=5.3" [package.extras] -docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] +docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"] test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"] [[package]] name = "kiwisolver" -version = "1.4.4" +version = "1.4.5" description = "A fast implementation of the Cassowary constraint solver" category = "dev" optional = false @@ -719,28 +724,28 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "markdown-it-py" -version = "2.1.0" +version = "3.0.0" description = "Python port of markdown-it. Markdown parsing, done right!" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] mdurl = ">=0.1,<1.0" [package.extras] -benchmarking = ["psutil", "pytest", "pytest-benchmark (>=3.2,<4.0)"] -code-style = ["pre-commit (==2.6)"] -compare = ["commonmark (>=0.9.1,<0.10.0)", "markdown (>=3.3.6,<3.4.0)", "mistletoe (>=0.8.1,<0.9.0)", "mistune (>=2.0.2,<2.1.0)", "panflute (>=2.1.3,<2.2.0)"] -linkify = ["linkify-it-py (>=1.0,<2.0)"] +benchmarking = ["psutil", "pytest", "pytest-benchmark"] +code-style = ["pre-commit (>=3.0,<4.0)"] +compare = ["commonmark (>=0.9,<1.0)", "markdown (>=3.4,<4.0)", "mistletoe (>=1.0,<2.0)", "mistune (>=2.0,<3.0)", "panflute (>=2.3,<3.0)"] +linkify = ["linkify-it-py (>=1,<3)"] plugins = ["mdit-py-plugins"] profiling = ["gprof2dot"] -rtd = ["attrs", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] +rtd = ["jupyter_sphinx", "mdit-py-plugins", "myst-parser", "pyyaml", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinx_book_theme"] testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] [[package]] name = "markupsafe" -version = "2.1.2" +version = "2.1.3" description = "Safely add untrusted strings to HTML/XML markup." category = "dev" optional = false @@ -748,23 +753,22 @@ python-versions = ">=3.7" [[package]] name = "matplotlib" -version = "3.6.3" +version = "3.8.2" description = "Python plotting package" category = "dev" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" [package.dependencies] contourpy = ">=1.0.1" cycler = ">=0.10" fonttools = ">=4.22.0" -kiwisolver = ">=1.0.1" -numpy = ">=1.19" +kiwisolver = ">=1.3.1" +numpy = ">=1.21,<2" packaging = ">=20.0" -pillow = ">=6.2.0" -pyparsing = ">=2.2.1" +pillow = ">=8" +pyparsing = ">=2.3.1" python-dateutil = ">=2.7" -setuptools_scm = ">=7" [[package]] name = "matplotlib-inline" @@ -787,15 +791,14 @@ python-versions = "*" [[package]] name = "mdformat" -version = "0.7.16" +version = "0.7.17" description = "CommonMark compliant Markdown formatter" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] -importlib-metadata = {version = ">=3.6.0", markers = "python_version < \"3.10\""} -markdown-it-py = ">=1.0.0,<3.0.0" +markdown-it-py = ">=1.0.0,<4.0.0" tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""} [[package]] @@ -831,18 +834,18 @@ test = ["coverage", "pytest (>=6.0,<7.0)", "pytest-cov"] [[package]] name = "mdit-py-plugins" -version = "0.3.3" +version = "0.4.0" description = "Collection of plugins for markdown-it-py" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] -markdown-it-py = ">=1.0.0,<3.0.0" +markdown-it-py = ">=1.0.0,<4.0.0" [package.extras] code-style = ["pre-commit"] -rtd = ["attrs", "myst-parser (>=0.16.1,<0.17.0)", "sphinx-book-theme (>=0.1.0,<0.2.0)"] +rtd = ["myst-parser", "sphinx-book-theme"] testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"] [[package]] @@ -855,7 +858,7 @@ python-versions = ">=3.7" [[package]] name = "mypy" -version = "1.5.1" +version = "1.8.0" description = "Optional static typing for Python" category = "dev" optional = false @@ -869,6 +872,7 @@ typing-extensions = ">=4.1.0" [package.extras] dmypy = ["psutil (>=4.0)"] install-types = ["pip"] +mypyc = ["setuptools (>=50)"] reports = ["lxml"] [[package]] @@ -881,78 +885,78 @@ python-versions = ">=3.5" [[package]] name = "myst-nb" -version = "0.16.0" +version = "1.0.0" description = "A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser." category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.9" [package.dependencies] importlib_metadata = "*" ipykernel = "*" ipython = "*" -jupyter-cache = ">=0.5.0,<0.6.0" -myst-parser = ">=0.18.0,<0.19.0" +jupyter-cache = ">=0.5" +myst-parser = ">=1.0.0" nbclient = "*" -nbformat = ">=5.0,<6.0" +nbformat = ">=5.0" pyyaml = "*" -sphinx = ">=4,<6" -sphinx-togglebutton = ">=0.3.0,<0.4.0" +sphinx = ">=5" typing-extensions = "*" [package.extras] -code-style = ["pre-commit (>=2.12,<3.0)"] -rtd = ["alabaster", "altair", "bokeh", "coconut (>=1.4.3,<1.5.0)", "ipykernel (>=5.5,<6.0)", "ipywidgets", "jupytext (>=1.11.2,<1.12.0)", "matplotlib", "numpy", "pandas", "plotly", "sphinx-book-theme (>=0.3.0,<0.4.0)", "sphinx-copybutton", "sphinx-design (>=0.1.0,<0.2.0)", "sphinxcontrib-bibtex", "sympy"] -testing = ["beautifulsoup4", "coverage (>=6.4,<7.0)", "ipykernel (>=5.5,<6.0)", "ipython (!=8.1.0)", "ipywidgets", "jupytext (>=1.11.2,<1.12.0)", "matplotlib", "nbdime", "numpy", "pandas", "pytest (>=7.1,<8.0)", "pytest-cov (>=3.0,<4.0)", "pytest-param-files (>=0.3.3,<0.4.0)", "pytest-regressions", "sympy"] +code-style = ["pre-commit"] +rtd = ["alabaster", "altair", "bokeh", "coconut (>=1.4.3,<3.1.0)", "ipykernel (>=5.5,<7.0)", "ipywidgets", "jupytext (>=1.11.2,<1.16.0)", "matplotlib", "numpy", "pandas", "plotly", "sphinx-book-theme (>=0.3)", "sphinx-copybutton", "sphinx-design (>=0.4.0,<0.5.0)", "sphinxcontrib-bibtex", "sympy"] +testing = ["beautifulsoup4", "coverage (>=6.4,<8.0)", "ipykernel (>=5.5,<7.0)", "ipython (!=8.1.0,<8.17)", "ipywidgets (>=8)", "jupytext (>=1.11.2,<1.16.0)", "matplotlib (>=3.7.0,<3.8.0)", "nbdime", "numpy", "pandas", "pytest (>=7.1,<8.0)", "pytest-cov (>=3,<5)", "pytest-param-files (>=0.3.3,<0.4.0)", "pytest-regressions", "sympy (>=1.10.1)"] [[package]] name = "myst-parser" -version = "0.18.1" -description = "An extended commonmark compliant parser, with bridges to docutils & sphinx." +version = "2.0.0" +description = "An extended [CommonMark](https://spec.commonmark.org/) compliant parser," category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] -docutils = ">=0.15,<0.20" +docutils = ">=0.16,<0.21" jinja2 = "*" -markdown-it-py = ">=1.0.0,<3.0.0" -mdit-py-plugins = ">=0.3.1,<0.4.0" +markdown-it-py = ">=3.0,<4.0" +mdit-py-plugins = ">=0.4,<1.0" pyyaml = "*" -sphinx = ">=4,<6" -typing-extensions = "*" +sphinx = ">=6,<8" [package.extras] -code-style = ["pre-commit (>=2.12,<3.0)"] -linkify = ["linkify-it-py (>=1.0,<2.0)"] -rtd = ["ipython", "sphinx-book-theme", "sphinx-design", "sphinxcontrib.mermaid (>=0.7.1,<0.8.0)", "sphinxext-opengraph (>=0.6.3,<0.7.0)", "sphinxext-rediraffe (>=0.2.7,<0.3.0)"] -testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=6,<7)", "pytest-cov", "pytest-param-files (>=0.3.4,<0.4.0)", "pytest-regressions", "sphinx (<5.2)", "sphinx-pytest"] +code-style = ["pre-commit (>=3.0,<4.0)"] +linkify = ["linkify-it-py (>=2.0,<3.0)"] +rtd = ["ipython", "pydata-sphinx-theme (==v0.13.0rc4)", "sphinx-autodoc2 (>=0.4.2,<0.5.0)", "sphinx-book-theme (==1.0.0rc2)", "sphinx-copybutton", "sphinx-design2", "sphinx-pyscript", "sphinx-tippy (>=0.3.1)", "sphinx-togglebutton", "sphinxext-opengraph (>=0.8.2,<0.9.0)", "sphinxext-rediraffe (>=0.2.7,<0.3.0)"] +testing = ["beautifulsoup4", "coverage[toml]", "pytest (>=7,<8)", "pytest-cov", "pytest-param-files (>=0.3.4,<0.4.0)", "pytest-regressions", "sphinx-pytest"] +testing-docutils = ["pygments", "pytest (>=7,<8)", "pytest-param-files (>=0.3.4,<0.4.0)"] [[package]] name = "nbclient" -version = "0.5.13" +version = "0.9.0" description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor." category = "dev" optional = false -python-versions = ">=3.7.0" +python-versions = ">=3.8.0" [package.dependencies] -jupyter-client = ">=6.1.5" -nbformat = ">=5.0" -nest-asyncio = "*" -traitlets = ">=5.0.0" +jupyter-client = ">=6.1.12" +jupyter-core = ">=4.12,<5.0.0 || >=5.1.0" +nbformat = ">=5.1" +traitlets = ">=5.4" [package.extras] -sphinx = ["Sphinx (>=1.7)", "mock", "moto", "myst-parser", "sphinx-book-theme"] -test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "wheel (>=0.31.0)", "xmltodict"] +dev = ["pre-commit"] +docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"] +test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"] [[package]] name = "nbformat" -version = "5.7.3" +version = "5.9.2" description = "The Jupyter Notebook format" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] fastjsonschema = "*" @@ -966,7 +970,7 @@ test = ["pep440", "pre-commit", "pytest", "testpath"] [[package]] name = "nest-asyncio" -version = "1.5.6" +version = "1.5.8" description = "Patch asyncio to allow nested event loops" category = "dev" optional = false @@ -990,7 +994,7 @@ tests = ["Cython", "packaging", "pytest"] [[package]] name = "nodeenv" -version = "1.7.0" +version = "1.8.0" description = "Node.js virtual environment builder" category = "dev" optional = false @@ -1001,15 +1005,15 @@ setuptools = "*" [[package]] name = "numpy" -version = "1.24.2" +version = "1.26.3" description = "Fundamental package for array computing in Python" category = "main" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" [[package]] name = "packaging" -version = "23.0" +version = "23.2" description = "Core utilities for Python packages" category = "main" optional = false @@ -1017,23 +1021,44 @@ python-versions = ">=3.7" [[package]] name = "pandas" -version = "1.5.3" +version = "2.1.4" description = "Powerful data structures for data analysis, time series, and statistics" category = "main" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" [package.dependencies] numpy = [ - {version = ">=1.21.0", markers = "python_version >= \"3.10\""}, - {version = ">=1.23.2", markers = "python_version >= \"3.11\""}, - {version = ">=1.20.3", markers = "python_version < \"3.10\""}, + {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""}, + {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""}, ] -python-dateutil = ">=2.8.1" +python-dateutil = ">=2.8.2" pytz = ">=2020.1" - -[package.extras] -test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] +tzdata = ">=2022.1" + +[package.extras] +all = ["PyQt5 (>=5.15.6)", "SQLAlchemy (>=1.4.36)", "beautifulsoup4 (>=4.11.1)", "bottleneck (>=1.3.4)", "dataframe-api-compat (>=0.1.7)", "fastparquet (>=0.8.1)", "fsspec (>=2022.05.0)", "gcsfs (>=2022.05.0)", "html5lib (>=1.1)", "hypothesis (>=6.46.1)", "jinja2 (>=3.1.2)", "lxml (>=4.8.0)", "matplotlib (>=3.6.1)", "numba (>=0.55.2)", "numexpr (>=2.8.0)", "odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pandas-gbq (>=0.17.5)", "psycopg2 (>=2.9.3)", "pyarrow (>=7.0.0)", "pymysql (>=1.0.2)", "pyreadstat (>=1.1.5)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)", "pyxlsb (>=1.0.9)", "qtpy (>=2.2.0)", "s3fs (>=2022.05.0)", "scipy (>=1.8.1)", "tables (>=3.7.0)", "tabulate (>=0.8.10)", "xarray (>=2022.03.0)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)", "zstandard (>=0.17.0)"] +aws = ["s3fs (>=2022.05.0)"] +clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"] +compression = ["zstandard (>=0.17.0)"] +computation = ["scipy (>=1.8.1)", "xarray (>=2022.03.0)"] +consortium-standard = ["dataframe-api-compat (>=0.1.7)"] +excel = ["odfpy (>=1.4.1)", "openpyxl (>=3.0.10)", "pyxlsb (>=1.0.9)", "xlrd (>=2.0.1)", "xlsxwriter (>=3.0.3)"] +feather = ["pyarrow (>=7.0.0)"] +fss = ["fsspec (>=2022.05.0)"] +gcp = ["gcsfs (>=2022.05.0)", "pandas-gbq (>=0.17.5)"] +hdf5 = ["tables (>=3.7.0)"] +html = ["beautifulsoup4 (>=4.11.1)", "html5lib (>=1.1)", "lxml (>=4.8.0)"] +mysql = ["SQLAlchemy (>=1.4.36)", "pymysql (>=1.0.2)"] +output-formatting = ["jinja2 (>=3.1.2)", "tabulate (>=0.8.10)"] +parquet = ["pyarrow (>=7.0.0)"] +performance = ["bottleneck (>=1.3.4)", "numba (>=0.55.2)", "numexpr (>=2.8.0)"] +plot = ["matplotlib (>=3.6.1)"] +postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"] +spss = ["pyreadstat (>=1.1.5)"] +sql-other = ["SQLAlchemy (>=1.4.36)"] +test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"] +xml = ["lxml (>=4.8.0)"] [[package]] name = "parso" @@ -1049,7 +1074,7 @@ testing = ["docopt", "pytest (<6.0.0)"] [[package]] name = "partd" -version = "1.4.0" +version = "1.4.1" description = "Appendable key-value storage" category = "main" optional = false @@ -1064,15 +1089,15 @@ complete = ["blosc", "numpy (>=1.9.0)", "pandas (>=0.19.0)", "pyzmq"] [[package]] name = "pathspec" -version = "0.11.0" +version = "0.12.1" description = "Utility library for gitignore style pattern matching of file paths." category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [[package]] name = "pexpect" -version = "4.8.0" +version = "4.9.0" description = "Pexpect allows easy control of interactive console applications." category = "dev" optional = false @@ -1081,25 +1106,21 @@ python-versions = "*" [package.dependencies] ptyprocess = ">=0.5" -[[package]] -name = "pickleshare" -version = "0.7.5" -description = "Tiny 'shelve'-like database with concurrency support" -category = "dev" -optional = false -python-versions = "*" - [[package]] name = "pillow" -version = "9.4.0" +version = "10.2.0" description = "Python Imaging Library (Fork)" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.extras] -docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-issues (>=3.0.1)", "sphinx-removed-in", "sphinxext-opengraph"] +docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"] +fpx = ["olefile"] +mic = ["olefile"] tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"] +typing = ["typing-extensions"] +xmp = ["defusedxml"] [[package]] name = "pint" @@ -1120,23 +1141,23 @@ xarray = ["xarray"] [[package]] name = "platformdirs" -version = "3.0.0" +version = "4.1.0" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.extras] -docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] -test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"] [[package]] name = "pluggy" -version = "1.0.0" +version = "1.3.0" description = "plugin and hook calling mechanisms for python" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" [package.extras] dev = ["pre-commit", "tox"] @@ -1159,22 +1180,22 @@ virtualenv = ">=20.10.0" [[package]] name = "prompt-toolkit" -version = "3.0.36" +version = "3.0.43" description = "Library for building powerful interactive command lines in Python" category = "dev" optional = false -python-versions = ">=3.6.2" +python-versions = ">=3.7.0" [package.dependencies] wcwidth = "*" [[package]] name = "psutil" -version = "5.9.4" +version = "5.9.7" description = "Cross-platform lib for process and system monitoring in Python." category = "dev" optional = false -python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*" [package.extras] test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"] @@ -1216,14 +1237,14 @@ test = ["pytest"] [[package]] name = "pybtex-docutils" -version = "1.0.2" +version = "1.0.3" description = "A docutils backend for pybtex." category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.dependencies] -docutils = ">=0.8" +docutils = ">=0.14" pybtex = ">=0.16" [[package]] @@ -1266,18 +1287,19 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" [[package]] name = "pygments" -version = "2.14.0" +version = "2.17.2" description = "Pygments is a syntax highlighting package written in Python." category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.7" [package.extras] plugins = ["importlib-metadata"] +windows-terminal = ["colorama (>=0.4.6)"] [[package]] name = "pyparsing" -version = "3.0.9" +version = "3.1.1" description = "pyparsing module - Classes and methods to define and execute parsing grammars" category = "dev" optional = false @@ -1286,24 +1308,15 @@ python-versions = ">=3.6.8" [package.extras] diagrams = ["jinja2", "railroad-diagrams"] -[[package]] -name = "pyrsistent" -version = "0.19.3" -description = "Persistent/Functional/Immutable data structures" -category = "main" -optional = false -python-versions = ">=3.7" - [[package]] name = "pytest" -version = "7.2.1" +version = "7.4.4" description = "pytest: simple powerful testing with Python" category = "dev" optional = false python-versions = ">=3.7" [package.dependencies] -attrs = ">=19.2.0" colorama = {version = "*", markers = "sys_platform == \"win32\""} exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""} iniconfig = "*" @@ -1312,7 +1325,7 @@ pluggy = ">=0.12,<2.0" tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} [package.extras] -testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "xmlschema"] +testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"] [[package]] name = "pytest-cov" @@ -1331,11 +1344,11 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale [[package]] name = "pytest-datadir" -version = "1.4.1" +version = "1.5.0" description = "pytest plugin for test data directories and files" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.8" [package.dependencies] pytest = ">=5.0" @@ -1354,11 +1367,11 @@ pytest = ">=7.0" [[package]] name = "pytest-mock" -version = "3.10.0" +version = "3.12.0" description = "Thin-wrapper around the mock package for easier use with pytest" category = "dev" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" [package.dependencies] pytest = ">=5.0" @@ -1381,10 +1394,7 @@ mypy = [ {version = ">=0.900", markers = "python_version >= \"3.11\""}, {version = ">=0.780", markers = "python_version >= \"3.9\" and python_version < \"3.11\""}, ] -pytest = [ - {version = ">=6.2", markers = "python_version >= \"3.10\""}, - {version = ">=4.6", markers = "python_version >= \"3.6\" and python_version < \"3.10\""}, -] +pytest = {version = ">=6.2", markers = "python_version >= \"3.10\""} [[package]] name = "python-dateutil" @@ -1399,7 +1409,7 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2022.7.1" +version = "2023.3.post1" description = "World timezone definitions, modern and historical" category = "main" optional = false @@ -1407,7 +1417,7 @@ python-versions = "*" [[package]] name = "pywin32" -version = "305" +version = "306" description = "Python for Window Extensions" category = "dev" optional = false @@ -1415,7 +1425,7 @@ python-versions = "*" [[package]] name = "pyyaml" -version = "6.0" +version = "6.0.1" description = "YAML parser and emitter for Python" category = "main" optional = false @@ -1423,7 +1433,7 @@ python-versions = ">=3.6" [[package]] name = "pyzmq" -version = "25.0.0" +version = "25.1.2" description = "Python bindings for 0MQ" category = "dev" optional = false @@ -1432,93 +1442,95 @@ python-versions = ">=3.6" [package.dependencies] cffi = {version = "*", markers = "implementation_name == \"pypy\""} +[[package]] +name = "referencing" +version = "0.32.0" +description = "JSON Referencing + Python" +category = "main" +optional = false +python-versions = ">=3.8" + +[package.dependencies] +attrs = ">=22.2.0" +rpds-py = ">=0.7.0" + [[package]] name = "requests" -version = "2.28.2" +version = "2.31.0" description = "Python HTTP for Humans." category = "dev" optional = false -python-versions = ">=3.7, <4" +python-versions = ">=3.7" [package.dependencies] certifi = ">=2017.4.17" charset-normalizer = ">=2,<4" idna = ">=2.5,<4" -urllib3 = ">=1.21.1,<1.27" +urllib3 = ">=1.21.1,<3" [package.extras] socks = ["PySocks (>=1.5.6,!=1.5.7)"] use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] +[[package]] +name = "rpds-py" +version = "0.16.2" +description = "Python bindings to Rust's persistent data structures (rpds)" +category = "main" +optional = false +python-versions = ">=3.8" + [[package]] name = "ruamel-yaml" -version = "0.17.21" +version = "0.18.5" description = "ruamel.yaml is a YAML parser/emitter that supports roundtrip preservation of comments, seq/map flow style, and map key order" category = "dev" optional = false -python-versions = ">=3" +python-versions = ">=3.7" [package.dependencies] -"ruamel.yaml.clib" = {version = ">=0.2.6", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""} +"ruamel.yaml.clib" = {version = ">=0.2.7", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.13\""} [package.extras] -docs = ["ryd"] +docs = ["mercurial (>5.7)", "ryd"] jinja2 = ["ruamel.yaml.jinja2 (>=0.2)"] [[package]] name = "ruamel-yaml-clib" -version = "0.2.7" +version = "0.2.8" description = "C version of reader, parser and emitter for ruamel.yaml derived from libyaml" category = "dev" optional = false -python-versions = ">=3.5" +python-versions = ">=3.6" [[package]] name = "scipy" -version = "1.10.0" +version = "1.11.4" description = "Fundamental algorithms for scientific computing in Python" category = "main" optional = false -python-versions = "<3.12,>=3.8" +python-versions = ">=3.9" [package.dependencies] -numpy = ">=1.19.5,<1.27.0" +numpy = ">=1.21.6,<1.28.0" [package.extras] -dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"] -doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] +dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"] +doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] [[package]] name = "setuptools" -version = "67.2.0" +version = "69.0.3" description = "Easily download, build, install, upgrade, and uninstall Python packages" category = "dev" optional = false -python-versions = ">=3.7" - -[package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] -testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] -testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] - -[[package]] -name = "setuptools-scm" -version = "7.1.0" -description = "the blessed package to manage your versions by scm tags" -category = "dev" -optional = false -python-versions = ">=3.7" - -[package.dependencies] -packaging = ">=20.0" -setuptools = "*" -tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""} -typing-extensions = "*" +python-versions = ">=3.8" [package.extras] -test = ["pytest (>=6.2)", "virtualenv (>20)"] -toml = ["setuptools (>=42)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] +testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] [[package]] name = "shapely" @@ -1559,39 +1571,38 @@ python-versions = "*" [[package]] name = "sphinx" -version = "5.3.0" +version = "7.2.6" description = "Python documentation generator" category = "dev" optional = false -python-versions = ">=3.6" +python-versions = ">=3.9" [package.dependencies] alabaster = ">=0.7,<0.8" babel = ">=2.9" colorama = {version = ">=0.4.5", markers = "sys_platform == \"win32\""} -docutils = ">=0.14,<0.20" +docutils = ">=0.18.1,<0.21" imagesize = ">=1.3" -importlib-metadata = {version = ">=4.8", markers = "python_version < \"3.10\""} Jinja2 = ">=3.0" packaging = ">=21.0" -Pygments = ">=2.12" -requests = ">=2.5.0" +Pygments = ">=2.14" +requests = ">=2.25.0" snowballstemmer = ">=2.0" sphinxcontrib-applehelp = "*" sphinxcontrib-devhelp = "*" sphinxcontrib-htmlhelp = ">=2.0.0" sphinxcontrib-jsmath = "*" sphinxcontrib-qthelp = "*" -sphinxcontrib-serializinghtml = ">=1.1.5" +sphinxcontrib-serializinghtml = ">=1.1.9" [package.extras] docs = ["sphinxcontrib-websupport"] -lint = ["docutils-stubs", "flake8 (>=3.5.0)", "flake8-bugbear", "flake8-comprehensions", "flake8-simplify", "isort", "mypy (>=0.981)", "sphinx-lint", "types-requests", "types-typed-ast"] -test = ["cython", "html5lib", "pytest (>=4.6)", "typed_ast"] +lint = ["docutils-stubs", "flake8 (>=3.5.0)", "flake8-simplify", "isort", "mypy (>=0.990)", "ruff", "sphinx-lint", "types-requests"] +test = ["cython (>=3.0)", "filelock", "html5lib", "pytest (>=4.6)", "setuptools (>=67.0)"] [[package]] name = "sphinx-rtd-theme" -version = "1.2.0" +version = "1.3.0" description = "Read the Docs theme for Sphinx" category = "dev" optional = false @@ -1599,36 +1610,22 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" [package.dependencies] docutils = "<0.19" -sphinx = ">=1.6,<7" -sphinxcontrib-jquery = {version = ">=2.0.0,<3.0.0 || >3.0.0", markers = "python_version > \"3\""} +sphinx = ">=1.6,<8" +sphinxcontrib-jquery = ">=4,<5" [package.extras] dev = ["bump2version", "sphinxcontrib-httpdomain", "transifex-client", "wheel"] -[[package]] -name = "sphinx-togglebutton" -version = "0.3.2" -description = "Toggle page content and collapse admonitions in Sphinx." -category = "dev" -optional = false -python-versions = "*" - -[package.dependencies] -docutils = "*" -setuptools = "*" -sphinx = "*" -wheel = "*" - -[package.extras] -sphinx = ["matplotlib", "myst-nb", "numpy", "sphinx-book-theme", "sphinx-design", "sphinx-examples"] - [[package]] name = "sphinxcontrib-applehelp" -version = "1.0.4" +version = "1.0.7" description = "sphinxcontrib-applehelp is a Sphinx extension which outputs Apple help books" category = "dev" optional = false -python-versions = ">=3.8" +python-versions = ">=3.9" + +[package.dependencies] +Sphinx = ">=5" [package.extras] lint = ["docutils-stubs", "flake8", "mypy"] @@ -1644,18 +1641,20 @@ python-versions = ">=3.6" [package.dependencies] docutils = ">=0.8" -importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""} pybtex = ">=0.24" pybtex-docutils = ">=1.0.0" Sphinx = ">=2.1" [[package]] name = "sphinxcontrib-devhelp" -version = "1.0.2" -description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document." +version = "1.0.5" +description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp documents" category = "dev" optional = false -python-versions = ">=3.5" +python-versions = ">=3.9" + +[package.dependencies] +Sphinx = ">=5" [package.extras] lint = ["docutils-stubs", "flake8", "mypy"] @@ -1663,11 +1662,14 @@ test = ["pytest"] [[package]] name = "sphinxcontrib-htmlhelp" -version = "2.0.1" +version = "2.0.4" description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files" category = "dev" optional = false 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authors = [ vr_run = "virtual_rainforest.entry_points:vr_run_cli" [tool.poetry.dependencies] -python = ">=3.9,<3.12" +python = ">=3.10,<3.12" numpy = "^1.23.0" tomli = { version = "^2.0.1", python = "<3.11" } dpath = "^2.0.6" @@ -56,9 +56,9 @@ ipykernel = "^6.15.0" matplotlib = "^3.5.2" [tool.poetry.group.docs.dependencies] -sphinx = "^5.0.0" +sphinx = "^7.0.0" sphinxcontrib-bibtex = "^2.4.2" -myst-nb = "^0.16.0" +myst-nb = "^1.0.0" sphinx-rtd-theme = "^1.0.0" autodocsumm = "^0.2.8" pydocstyle = "^6.1.1" diff --git a/tests/conftest.py b/tests/conftest.py index abb486f05..7f27d33fa 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,6 +1,6 @@ """Collection of fixtures to assist the testing scripts.""" from logging import DEBUG -from typing import Any, Optional +from typing import Any import numpy as np import pytest @@ -18,7 +18,7 @@ def log_check( caplog: pytest.LogCaptureFixture, expected_log: tuple[tuple], - subset: Optional[slice] = None, + subset: slice | None = None, ) -> None: """Helper function to check that the captured log is as expected. diff --git a/tests/core/test_config.py b/tests/core/test_config.py index e06c0c66a..d16446c10 100644 --- a/tests/core/test_config.py +++ b/tests/core/test_config.py @@ -6,9 +6,7 @@ to date. """ -import sys from contextlib import nullcontext as does_not_raise -from itertools import repeat from logging import CRITICAL, ERROR, INFO, WARNING from pathlib import Path @@ -292,7 +290,7 @@ def test_Config_init(cfg_paths, cfg_strings, expected_cfg_paths, raises, err_msg ), ], ) -def test_Config_resolve_config_paths( +def test_Config_collect_config_paths( caplog, shared_datadir, cfg_paths, @@ -309,7 +307,7 @@ def test_Config_resolve_config_paths( # Check that file resolution runs as expected with expected_exception: - cfg.resolve_config_paths() + cfg.collect_config_paths() log_check(caplog, expected_log_entries) @@ -342,7 +340,7 @@ def test_Config_load_config_toml( # Initialise the Config instance and manually resolve the config paths to toml files cfg = Config([shared_datadir / p for p in cfg_paths], auto=False) - cfg.resolve_config_paths() + cfg.collect_config_paths() caplog.clear() # Check that load_config_toml behaves as expected @@ -731,104 +729,83 @@ def test_Config_export_config(caplog, shared_datadir, auto, expected_log_entries assert outpath.is_file() -_NEW_VAR_ENTRY_PATH = Path("new/path") -_ABS_PATH = Path("C:" if sys.platform == "win32" else "/root") - - +@pytest.mark.parametrize("cfg_is_relative", (True, False)) +@pytest.mark.parametrize("filepath_is_relative", (True, False)) @pytest.mark.parametrize( - "params,expected", + "filepaths,expected", ( pytest.param( - # params - { - "core": { - "data": { - "variable": [ - {"file": "file.txt", "var_name": "my_path"}, - {"file": "file2.txt", "var_name": "my_other_path"}, - ] - } - }, - "some": {"other": {"value": 5}}, - }, - # expected - { - "core": { - "data": { - "variable": [ - { - "file": str(_NEW_VAR_ENTRY_PATH / "file.txt"), - "var_name": "my_path", - }, - { - "file": str(_NEW_VAR_ENTRY_PATH / "file2.txt"), - "var_name": "my_other_path", - }, - ] - } - }, - "some": {"other": {"value": 5}}, - }, - id="normal", - ), - pytest.param( - *repeat( - { - "core": { - "data": { - "variable": [ - { - "file": str(_ABS_PATH / "file.txt"), - "var_name": "my_path", - }, - ] - } - }, - }, - times=2, - ), - id="leave_abs_paths_unchanged", - ), - pytest.param( - *repeat( - { - "core": { - "data": { - # NB: Missing "file" key - "variable": [ - { - "var_name": "my_path", - }, - ] - } - }, - }, - times=2, - ), - id="ignore_missing_file_key", - ), - pytest.param( - *repeat( - { - "core": { - "data": { - # NB: Not a list, as it should be - "variable": { - "file": "file.txt", - "var_name": "my_path", - }, - } - }, - }, - times=2, - ), - id="variable_not_list", - ), + ["file.txt", "file2.txt"], + ["path/to/config/file.txt", "path/to/config/file2.txt"], + id="co-located", + ), + pytest.param( + ["data/file.txt", "data/file2.txt"], + ["path/to/config/data/file.txt", "path/to/config/data/file2.txt"], + id="inside_cfg_dir", + ), + pytest.param( + ["../data/file.txt", "../data/file2.txt"], + ["path/to/data/file.txt", "path/to/data/file2.txt"], + id="outside_cfg_dir", + ), + pytest.param( + ["../../../data/file.txt", "../../../data/file2.txt"], + ["data/file.txt", "data/file2.txt"], + id="moar_outside_cfg_dir", + ), + # pytest.param( + # False, + # [{"file": str(_ABS_PATH / "file.txt"), "var_name": "my_path"}], + # [{"file": str(_ABS_PATH / "file.txt"), "var_name": "my_path"}], + # id="leave_abs_paths_unchanged", + # ), + # pytest.param( + # False, + # [{"var_name": "my_path"}], + # [{"var_name": "my_path"}], + # id="ignore_missing_file_key", + # ), + # pytest.param( + # False, + # {"file": "file.txt", "var_name": "my_path"}, + # {"file": "file.txt", "var_name": "my_path"}, + # id="variable_not_list", + # ), ), ) -def test_fix_up_variable_entry_paths(params, expected): - """Test the _fix_up_variable_entry_paths() function.""" - from virtual_rainforest.core.config import _fix_up_variable_entry_paths - - _fix_up_variable_entry_paths(Path(_NEW_VAR_ENTRY_PATH), params) - assert params == expected +def test__resolve_config_paths( + tmpdir, cfg_is_relative, filepath_is_relative, filepaths, expected +): + """Test the _fix_up_variable_entry_paths() function. + + This is using tmpdir to get an OS appropriate base file path - the location is not + used for any actual file IO. + """ + from virtual_rainforest.core.config import _resolve_config_paths + + # Get the config path to be used + execution_root = Path(tmpdir) + cfg_relative = Path("path/to/config") + cfg_absolute = execution_root / cfg_relative + cfg_path = cfg_relative if cfg_is_relative else cfg_absolute + + # Package the inputs for testing + vars = [{"file": fn, "var_name": f"v_{idx}"} for idx, fn in enumerate(filepaths)] + params_dict = {"core": {"data": {"variable": vars}}} + + # For absolute file path entries, construct from the inputs + if not filepath_is_relative: + for entry in params_dict["core"]["data"]["variable"]: + entry["file"] = str( + (execution_root / cfg_relative / Path(entry["file"])).resolve() + ) + + # Run the function + _resolve_config_paths(cfg_path, params_dict) + + for result, expected in zip(params_dict["core"]["data"]["variable"], expected): + if cfg_is_relative and filepath_is_relative: + assert Path(result["file"]) == Path(expected) + else: + assert Path(result["file"]) == execution_root / expected diff --git a/tests/core/test_data.py b/tests/core/test_data.py index e982af0c3..29e3706c6 100644 --- a/tests/core/test_data.py +++ b/tests/core/test_data.py @@ -879,8 +879,7 @@ def test_save_timeslice_to_netcdf( # Check that only expected variables were added assert ( - set(saved_data.keys()) - set(["soil_c_pool_lmwc", "soil_temperature"]) - == set() + set(saved_data.keys()) - {"soil_c_pool_lmwc", "soil_temperature"} == set() ) # Finally, close the dataset saved_data.close() diff --git a/tests/core/test_schema.py b/tests/core/test_schema.py index d2620d6cd..5c3d45015 100644 --- a/tests/core/test_schema.py +++ b/tests/core/test_schema.py @@ -100,9 +100,13 @@ def test_merge_schemas(): } ) - assert set(merged_schemas["required"]) == set( - ["abiotic_simple", "animals", "plants", "soil", "core"] - ) + assert set(merged_schemas["required"]) == { + "abiotic_simple", + "animals", + "plants", + "soil", + "core", + } def test_extend_with_default(): diff --git a/tests/models/animals/test_animal_communities.py b/tests/models/animals/test_animal_communities.py index 7a033afd4..37aebc42a 100644 --- a/tests/models/animals/test_animal_communities.py +++ b/tests/models/animals/test_animal_communities.py @@ -68,7 +68,7 @@ def test_all_animal_cohorts_property( self, animal_community_instance, animal_cohort_instance ): """Test the all_animal_cohorts property.""" - from typing import Iterable + from collections.abc import Iterable # Add an animal cohort to the community animal_community_instance.animal_cohorts["herbivorous_mammal"].append( diff --git a/tests/models/plants/test_community.py b/tests/models/plants/test_community.py index 914920d57..76c950e74 100644 --- a/tests/models/plants/test_community.py +++ b/tests/models/plants/test_community.py @@ -97,7 +97,7 @@ def test_PlantCommunities__init__(caplog, flora, vars, raises, exp_log): if isinstance(raises, does_not_raise): # Check the expected contents of plants_obj assert len(plants_obj) == 4 - cids = set([0, 1, 2, 3]) + cids = {0, 1, 2, 3} assert set(plants_obj.keys()) == cids for cid in cids: assert len(plants_obj[cid]) == 1 diff --git a/tests/test_cli_integration.py b/tests/test_cli_integration.py index f4dff905a..bb36e5dc3 100644 --- a/tests/test_cli_integration.py +++ b/tests/test_cli_integration.py @@ -32,12 +32,14 @@ def test_vr_run(capsys): _ = capsys.readouterr() example_dir = Path(tempdir) / "vr_example" - logfile = example_dir / "vr_example.log" + configs = example_dir / "config" + outdir = example_dir / "out" + logfile = outdir / "vr_example.log" vr_run_cli( args_list=[ - str(example_dir), + str(configs), "--outpath", - str(example_dir), + str(outdir), "--logfile", str(logfile), ] diff --git a/virtual_rainforest/core/axes.py b/virtual_rainforest/core/axes.py index d7ebc6eac..e8b335203 100644 --- a/virtual_rainforest/core/axes.py +++ b/virtual_rainforest/core/axes.py @@ -45,7 +45,7 @@ """ # noqa: D205, D415 from abc import ABC, abstractmethod -from typing import Any, Optional, Type +from typing import Any import numpy as np from xarray import DataArray @@ -163,7 +163,7 @@ def run_validation(self, value: DataArray, grid: Grid, **kwargs: Any) -> DataArr """ -AXIS_VALIDATORS: dict[str, list[Type[AxisValidator]]] = {} +AXIS_VALIDATORS: dict[str, list[type[AxisValidator]]] = {} """A registry for different axis validators subclasses This registry contains a dictionary of lists of AxisValidator subclasses. Each list @@ -206,12 +206,12 @@ def validate_dataarray( RuntimeError: If more than one validator reports that it can validate an input. """ - validation_dict: dict[str, Optional[str]] = {} + validation_dict: dict[str, str | None] = {} to_raise: Exception # Get the validators applying to each axis for axis in AXIS_VALIDATORS: - validators: list[Type[AxisValidator]] = AXIS_VALIDATORS[axis] + validators: list[type[AxisValidator]] = AXIS_VALIDATORS[axis] # Get the set of dim names across all of the validators for this axis validator_dims = set.union(*[v.dim_names for v in validators]) diff --git a/virtual_rainforest/core/config.py b/virtual_rainforest/core/config.py index 3ebab087c..af23ad2f7 100644 --- a/virtual_rainforest/core/config.py +++ b/virtual_rainforest/core/config.py @@ -11,7 +11,7 @@ from collections.abc import Sequence from copy import deepcopy from pathlib import Path -from typing import Any, Union +from typing import Any import tomli_w from jsonschema import FormatChecker @@ -81,17 +81,20 @@ def config_merge( return dest, conflicts -def _fix_up_variable_entry_paths(config_dir: Path, params: dict[str, Any]) -> None: - """Find paths in a dict and make them relative to config_dir. +def _resolve_config_paths(config_dir: Path, params: dict[str, Any]) -> None: + """Resolve paths in a configuration file. - Check for file paths in variable entries (i.e. core.data.variable) and make them - relative to config_dir. + Takes the path of a directory containing a given configuration file and resolves any + file paths in the configuration file contents, relative to that file location. - Args: - config_dir: The new folder to use as the root for relative paths - params: The dict to examine Todo: - We may want to fix up other potential paths in config files in future. + At present, this only targets `core.data.variable` configuration entries and may + want to resolve additional paths in the future. + + Args: + config_dir: A folder containing a configuration file. + params: A dictionary of contents of the configuration file, which may contain + file paths to resolve. """ try: var_entries = params["core"]["data"]["variable"] @@ -109,7 +112,18 @@ def _fix_up_variable_entry_paths(config_dir: Path, params: dict[str, Any]) -> No if "file" in entry: file_path = Path(entry["file"]) if not file_path.is_absolute(): - entry["file"] = str(config_dir / file_path) + # The resolve method is used here because it is the only method to + # resolve ../ entries from relative file paths. However, it also makes + # all paths absolute, which lengthens paths if the config directory + # itself is relative. The approach here converts `path/to/config` and + # `../data/file1.nc` to `path/to/data/file1.nc` when both paths are + # relative + file_resolved = (config_dir / file_path).resolve() + if not config_dir.is_absolute(): + config_absolute = Path(config_dir.root).absolute() + file_resolved = file_resolved.relative_to(config_absolute) + + entry["file"] = str(file_resolved) class Config(dict): @@ -121,9 +135,9 @@ class Config(dict): paths are then run through the follow steps to resolve and load the configuration data. - * The :meth:`~virtual_rainforest.core.config.Config.resolve_config_paths` method is - used to resolve the provided paths into the set of actual TOML files to be used to - build the configuration. + * The :meth:`~virtual_rainforest.core.config.Config.collect_config_paths` method is + used to collect the actual TOML files to be used to build the configuration from + the provided paths. * The :meth:`~virtual_rainforest.core.config.Config.load_config_toml` method is then used to load the parsed contents of each resolved file into the @@ -169,20 +183,20 @@ class Config(dict): def __init__( self, - cfg_paths: Union[str, Path, Sequence[Union[str, Path]]] = [], - cfg_strings: Union[str, list[str]] = [], + cfg_paths: str | Path | Sequence[str | Path] = [], + cfg_strings: str | list[str] = [], override_params: dict[str, Any] = {}, auto: bool = True, ) -> None: # Define custom attributes self.cfg_paths: list[Path] = [] """The configuration file paths, normalised from the cfg_paths argument.""" - self.toml_files: list[Union[str, Path]] = [] + self.toml_files: list[str | Path] = [] """A list of TOML file paths resolved from the initial config paths.""" self.cfg_strings: list[str] = [] """A list of strings containing TOML content, provided by the ``cfg_strings`` argument.""" - self.toml_contents: dict[Union[str, Path], dict] = {} + self.toml_contents: dict[str | Path, dict] = {} """A dictionary of the parsed TOML contents of config files or strings, keyed by file path or string index.""" self.merge_conflicts: list = [] @@ -232,10 +246,11 @@ def __init__( # Load the TOML content self.load_config_toml_string() if cfg_paths: - # Load the TOML content from resolved paths and fix relative file paths - self.resolve_config_paths() + # Load the TOML content from resolved paths and resolve file paths + # within configuration files. + self.collect_config_paths() self.load_config_toml() - self.fix_up_file_paths() + self.resolve_config_file_paths() if auto: # Now build the merged configuration and validate it. @@ -244,14 +259,14 @@ def __init__( self.build_schema() self.validate_config() - def resolve_config_paths(self) -> None: - """Resolve config file paths into a set of TOML config files. + def collect_config_paths(self) -> None: + """Collect TOML config files from provided paths. The :class:`~virtual_rainforest.core.config.Config` class is initialised with a - set of paths to TOML config files or directories containing sets of files. This - method resolves those paths to a set of individual TOML config files and then - populates the :attr:`~virtual_rainforest.core.config.Config.toml_files` - attribute. + list of paths to either individual TOML config files or directories containing + possibly multiple config files. This method examines that list to collect all + the individual TOML config files in the provided locations and then populates + the :attr:`~virtual_rainforest.core.config.Config.toml_files` attribute. Raises: ConfigurationError: this is raised if any of the paths: do not exist, are @@ -282,9 +297,9 @@ def resolve_config_paths(self) -> None: self.toml_files.append(path) # Check that no files are resolved twice - dupl_files = set( - [str(md) for md in self.toml_files if self.toml_files.count(md) > 1] - ) + dupl_files = { + str(md) for md in self.toml_files if self.toml_files.count(md) > 1 + } if dupl_files: all_valid = False LOGGER.error(f"Repeated files in config paths: {','.join(dupl_files)}") @@ -306,7 +321,7 @@ def load_config_toml(self) -> None: :attr:`~virtual_rainforest.core.config.Config.toml_files`. That attribute is normally populated by providing a set of paths to :class:`~virtual_rainforest.core.config.Config` and running the - :meth:`~virtual_rainforest.core.config.Config.resolve_config_paths` method, but + :meth:`~virtual_rainforest.core.config.Config.collect_config_paths` method, but it can also be set directly. Raises: @@ -355,8 +370,15 @@ def load_config_toml_string(self) -> None: LOGGER.info("Config TOML loaded from config strings") - def fix_up_file_paths(self) -> None: - """Make any file paths in the configs relative to location of config files.""" + def resolve_config_file_paths(self) -> None: + """Resolve the locations of configured file paths. + + Configuration files can contain paths to other resources, such as the paths to + files containing input data variables. These paths can be absolute, but may also + be relative to the location of the configuration file itself. This method is + used to resolve the location of files to the common root of the provided set of + configuration files, typically the path where a simulation is started. + """ # Safeguard against running this when the toml_contents is from a cfg_string if self.from_cfg_strings: @@ -366,7 +388,7 @@ def fix_up_file_paths(self) -> None: for config_file, contents in self.toml_contents.items(): if isinstance(config_file, Path): - _fix_up_variable_entry_paths(config_file.parent, contents) + _resolve_config_paths(config_file.parent, contents) def build_config(self) -> None: """Build a combined configuration from the loaded files. diff --git a/virtual_rainforest/core/data.py b/virtual_rainforest/core/data.py index 525d6198f..84a0200a3 100644 --- a/virtual_rainforest/core/data.py +++ b/virtual_rainforest/core/data.py @@ -121,7 +121,7 @@ """ # noqa: D205, D415 from pathlib import Path -from typing import Any, Optional +from typing import Any import numpy as np from xarray import DataArray, Dataset, open_mfdataset @@ -160,7 +160,7 @@ def __init__(self, grid: Grid) -> None: """The configured Grid to be used in a simulation.""" self.data = Dataset() """The :class:`~xarray.Dataset` used to store data.""" - self.variable_validation: dict[str, dict[str, Optional[str]]] = {} + self.variable_validation: dict[str, dict[str, str | None]] = {} """Records validation details for loaded variables. The validation details for each variable is stored in this dictionary using the @@ -318,9 +318,9 @@ def load_data_config(self, config: Config) -> None: # for other loading problems data_var_names = [v["var_name"] for v in data_config["variable"]] - dupl_names = set( - [str(md) for md in data_var_names if data_var_names.count(md) > 1] - ) + dupl_names = { + str(md) for md in data_var_names if data_var_names.count(md) > 1 + } if dupl_names: LOGGER.error("Duplicate variable names in data configuration.") clean_load = False @@ -355,7 +355,7 @@ def load_data_config(self, config: Config) -> None: raise ConfigurationError(msg) def save_to_netcdf( - self, output_file_path: Path, variables_to_save: Optional[list[str]] = None + self, output_file_path: Path, variables_to_save: list[str] | None = None ) -> None: """Save the contents of the data object as a NetCDF file. @@ -521,7 +521,7 @@ def __init__( spatial_axis: str, temporal_axis: str, temporal_interpolation: np.timedelta64, - seed: Optional[int], + seed: int | None, method: str, # one of the numpy.random.Generator methods **kwargs: Any, ) -> None: diff --git a/virtual_rainforest/core/grid.py b/virtual_rainforest/core/grid.py index 74767a986..67244a549 100644 --- a/virtual_rainforest/core/grid.py +++ b/virtual_rainforest/core/grid.py @@ -13,7 +13,8 @@ from __future__ import annotations import json -from typing import Any, Callable, Optional, Sequence, Tuple, Union +from collections.abc import Callable, Sequence +from typing import Any, TypeAlias import numpy as np from numpy.typing import NDArray @@ -32,8 +33,8 @@ decorator. """ -GRID_STRUCTURE_SIG = Tuple[list[int], list[Polygon]] -"""Signature of the data structure to be returned from grid creator functions. +GRID_STRUCTURE_SIG: TypeAlias = tuple[list[int], list[Polygon]] +"""Type signature of the data structure to be returned from grid creator functions. The first value is a list of integer cell ids, the second is a matching list of the polygons for each cell id. Although cell ids could be a numpy array, the numpy int types @@ -105,12 +106,15 @@ def make_square_grid( cell_y = np.flipud(idx_y) * scale_factor # Get the list of polygons - cell_list = [ + cell_polygon_list: list[Polygon] = [ translate(prototype, xoff=xf, yoff=yf) for xf, yf in zip(cell_x.flatten(), cell_y.flatten()) ] - return cell_ids.flatten().tolist(), cell_list + # Get list of ids + cell_ids_list: list[int] = cell_ids.flatten().tolist() + + return cell_ids_list, cell_polygon_list @register_grid(grid_type="hexagon") @@ -168,12 +172,15 @@ def make_hex_grid( cell_y = 1.5 * side_length * np.flipud(idx_y) # Get the list of polygons - cell_list = [ + cell_polygon_list: list[Polygon] = [ translate(prototype, xoff=xf, yoff=yf) for xf, yf in zip(cell_x.flatten(), cell_y.flatten()) ] - return cell_ids.flatten().tolist(), cell_list + # Get list of ids + cell_ids_list: list[int] = cell_ids.flatten().tolist() + + return cell_ids_list, cell_polygon_list class Grid: @@ -263,10 +270,10 @@ def __init__( # Define other attributes set by methods # TODO - this might become a networkx graph - self._neighbours: Optional[list[NDArray[np.int_]]] = None + self._neighbours: list[NDArray[np.int_]] | None = None # Do not by default store the full distance matrix - self._distances: Optional[NDArray] = None + self._distances: NDArray | None = None @property def neighbours(self) -> list[NDArray[np.int_]]: @@ -381,7 +388,7 @@ def set_neighbours( self, edges: bool = True, vertices: bool = False, - distance: Optional[float] = None, + distance: float | None = None, ) -> None: """Populate the neighbour list for a Grid object. @@ -409,8 +416,8 @@ def set_neighbours( def get_distances( self, - cell_from: Optional[Union[int, Sequence[int]]], - cell_to: Optional[Union[int, Sequence[int]]], + cell_from: int | Sequence[int] | None, + cell_to: int | Sequence[int] | None, ) -> np.ndarray: """Calculate euclidean distances between cell centroids. @@ -459,7 +466,7 @@ def map_xy_to_cell_id( self, x_coords: np.ndarray, y_coords: np.ndarray, - ) -> list[list[Optional[int]]]: + ) -> list[list[int | None]]: """Map a set of coordinates onto grid cells. This function loops over points defined by pairs of x and y coordinates and maps @@ -502,8 +509,8 @@ def map_xy_to_cell_indexing( self, x_coords: np.ndarray, y_coords: np.ndarray, - x_idx: Optional[np.ndarray], - y_idx: Optional[np.ndarray], + x_idx: np.ndarray | None, + y_idx: np.ndarray | None, ) -> tuple[np.ndarray, np.ndarray]: """Returns indexing to map xy coordinates a single cell_id axis. @@ -549,7 +556,7 @@ def map_xy_to_cell_indexing( raise ValueError("Dimensions of x/y indices do not match coordinates") # Find the set of total number of cell mappings per point - cell_counts = set([len(mp) for mp in cell_map]) + cell_counts = {len(mp) for mp in cell_map} # Raise an exception where not all coords fall in a grid cell if 0 in cell_counts: diff --git a/virtual_rainforest/core/readers.py b/virtual_rainforest/core/readers.py index 4f53f0f2a..5c599da1b 100644 --- a/virtual_rainforest/core/readers.py +++ b/virtual_rainforest/core/readers.py @@ -31,8 +31,8 @@ def new_function_to_load_tif_data(...): # code to turn tif file into a data array """ # noqa: D205, D415 +from collections.abc import Callable from pathlib import Path -from typing import Callable from xarray import DataArray, load_dataset diff --git a/virtual_rainforest/core/schema.py b/virtual_rainforest/core/schema.py index 4f87c551e..a46a9ceea 100644 --- a/virtual_rainforest/core/schema.py +++ b/virtual_rainforest/core/schema.py @@ -24,8 +24,9 @@ import json +from collections.abc import Iterator from pathlib import Path -from typing import Any, Iterator +from typing import Any import dpath from jsonschema import Draft202012Validator, exceptions, validators @@ -60,13 +61,12 @@ def set_defaults( if "default" in subschema: instance.setdefault(property, subschema["default"]) - for error in Draft202012Validator.VALIDATORS["properties"]( + yield from Draft202012Validator.VALIDATORS["properties"]( validator, properties, instance, schema, - ): - yield error + ) ValidatorWithDefaults = validators.extend( diff --git a/virtual_rainforest/entry_points.py b/virtual_rainforest/entry_points.py index b9ce071f7..cc49ed66d 100644 --- a/virtual_rainforest/entry_points.py +++ b/virtual_rainforest/entry_points.py @@ -9,7 +9,7 @@ from collections.abc import Sequence from pathlib import Path from shutil import copytree, ignore_patterns -from typing import Any, Optional +from typing import Any import virtual_rainforest as vr from virtual_rainforest import example_data_path @@ -103,7 +103,7 @@ def install_example_directory(install_dir: Path) -> int: return 0 -def vr_run_cli(args_list: Optional[list[str]] = None) -> int: +def vr_run_cli(args_list: list[str] | None = None) -> int: """Configure and run a Virtual Rainforest simulation. This program sets up and runs a Virtual Rainforest simulation. The program expects @@ -159,7 +159,7 @@ def vr_run_cli(args_list: Optional[list[str]] = None) -> int: parser.add_argument( "--version", action="version", - version="%(prog)s {version}".format(version=vr.__version__), + version=f"%(prog)s {vr.__version__}", ) parser.add_argument("cfg_paths", type=str, help="Paths to config files", nargs="*") diff --git a/virtual_rainforest/example_data/ERA5_land_dummy.nc b/virtual_rainforest/example_data/ERA5_land_dummy.nc deleted file mode 100644 index 042864c94..000000000 Binary files a/virtual_rainforest/example_data/ERA5_land_dummy.nc and /dev/null differ diff --git a/virtual_rainforest/example_data/animal_functional_groups.toml b/virtual_rainforest/example_data/config/animal_functional_groups.toml similarity index 100% rename from virtual_rainforest/example_data/animal_functional_groups.toml rename to virtual_rainforest/example_data/config/animal_functional_groups.toml diff --git a/virtual_rainforest/example_data/dummy_total_config.toml b/virtual_rainforest/example_data/config/data_config.toml similarity index 56% rename from virtual_rainforest/example_data/dummy_total_config.toml rename to virtual_rainforest/example_data/config/data_config.toml index 0e902f87f..c9d7572d9 100644 --- a/virtual_rainforest/example_data/dummy_total_config.toml +++ b/virtual_rainforest/example_data/config/data_config.toml @@ -1,111 +1,104 @@ [core.data_output_options] -save_initial_state = true +save_initial_state = false +# Climate data [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "air_temperature_ref" [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "relative_humidity_ref" [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "atmospheric_pressure_ref" [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "precipitation" [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "atmospheric_co2_ref" [[core.data.variable]] -file = "ERA5_land_dummy.nc" +file = "../data/example_climate_data.nc" var_name = "mean_annual_temperature" -# [[core.data.variable]] -# file = "plants_dummy.nc" -# var_name = "layer_heights" -# [[core.data.variable]] -# file = "plants_dummy.nc" -# var_name = "leaf_area_index" -# [[core.data.variable]] -# file = "plants_dummy.nc" -# var_name = "evapotranspiration" -# [[core.data.variable]] -# file = "plants_dummy.nc" -# var_name = "layer_leaf_mass" - +# Elevation [[core.data.variable]] -file = "elevation_dummy.nc" +file = "../data/example_elevation_data.nc" var_name = "elevation" + +# Hydrology [[core.data.variable]] -file = "surface_runoff_dummy.nc" +file = "../data/example_surface_runoff_data.nc" var_name = "surface_runoff" +# Soil [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "pH" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "bulk_density" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "clay_fraction" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_c_pool_lmwc" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_c_pool_maom" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_c_pool_microbe" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_c_pool_pom" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_enzyme_pom" [[core.data.variable]] -file = "dummy_soil_data.nc" +file = "../data/example_soil_data.nc" var_name = "soil_enzyme_maom" +# Litter [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "litter_pool_above_metabolic" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "litter_pool_above_structural" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "litter_pool_woody" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "litter_pool_below_metabolic" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "litter_pool_below_structural" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "lignin_above_structural" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "lignin_woody" [[core.data.variable]] -file = "dummy_litter_data.nc" +file = "../data/example_litter_data.nc" var_name = "lignin_below_structural" - +# Plants [[core.data.variable]] -file = "example_plant_data.nc" +file = "../data/example_plant_data.nc" var_name = "plant_cohorts_n" [[core.data.variable]] -file = "example_plant_data.nc" +file = "../data/example_plant_data.nc" var_name = "plant_cohorts_pft" [[core.data.variable]] -file = "example_plant_data.nc" +file = "../data/example_plant_data.nc" var_name = "plant_cohorts_cell_id" [[core.data.variable]] -file = "example_plant_data.nc" +file = "../data/example_plant_data.nc" var_name = "plant_cohorts_dbh" [[core.data.variable]] -file = "example_plant_data.nc" +file = "../data/example_plant_data.nc" var_name = "photosynthetic_photon_flux_density" diff --git a/virtual_rainforest/example_data/config/plant_config.toml b/virtual_rainforest/example_data/config/plant_config.toml new file mode 100644 index 000000000..c8c393a47 --- /dev/null +++ b/virtual_rainforest/example_data/config/plant_config.toml @@ -0,0 +1,10 @@ +[plants] +a_plant_integer = 12 + +[[plants.ftypes]] +pft_name = "shrub" +max_height = 1.0 + +[[plants.ftypes]] +pft_name = "broadleaf" +max_height = 50.0 diff --git a/virtual_rainforest/example_data/vr_run.toml b/virtual_rainforest/example_data/config/vr_run.toml similarity index 62% rename from virtual_rainforest/example_data/vr_run.toml rename to virtual_rainforest/example_data/config/vr_run.toml index e2b362481..59597d7f7 100644 --- a/virtual_rainforest/example_data/vr_run.toml +++ b/virtual_rainforest/example_data/config/vr_run.toml @@ -1,16 +1,4 @@ [core] - -[plants] -a_plant_integer = 12 - -[[plants.ftypes]] -pft_name = "shrub" -max_height = 1.0 - -[[plants.ftypes]] -pft_name = "broadleaf" -max_height = 50.0 - [hydrology.depends] update = ['plants', 'abiotic_simple'] [abiotic_simple] diff --git a/virtual_rainforest/example_data/data/example_climate_data.nc b/virtual_rainforest/example_data/data/example_climate_data.nc new file mode 100644 index 000000000..2e421051f Binary files /dev/null and b/virtual_rainforest/example_data/data/example_climate_data.nc differ diff --git a/virtual_rainforest/example_data/data/example_elevation_data.nc b/virtual_rainforest/example_data/data/example_elevation_data.nc new file mode 100644 index 000000000..5c26c498c Binary files /dev/null and b/virtual_rainforest/example_data/data/example_elevation_data.nc differ diff --git a/virtual_rainforest/example_data/data/example_litter_data.nc b/virtual_rainforest/example_data/data/example_litter_data.nc new file mode 100644 index 000000000..44f5d5157 Binary files /dev/null and b/virtual_rainforest/example_data/data/example_litter_data.nc differ diff --git a/virtual_rainforest/example_data/example_plant_data.nc b/virtual_rainforest/example_data/data/example_plant_data.nc similarity index 100% rename from virtual_rainforest/example_data/example_plant_data.nc rename to virtual_rainforest/example_data/data/example_plant_data.nc diff --git a/virtual_rainforest/example_data/data/example_soil_data.nc b/virtual_rainforest/example_data/data/example_soil_data.nc new file mode 100644 index 000000000..ba2cee666 Binary files /dev/null and b/virtual_rainforest/example_data/data/example_soil_data.nc differ diff --git a/virtual_rainforest/example_data/data/example_surface_runoff_data.nc b/virtual_rainforest/example_data/data/example_surface_runoff_data.nc new file mode 100644 index 000000000..77f2980ec Binary files /dev/null and b/virtual_rainforest/example_data/data/example_surface_runoff_data.nc differ diff --git a/virtual_rainforest/example_data/dummy_litter_data.nc b/virtual_rainforest/example_data/dummy_litter_data.nc deleted file mode 100644 index ef79cc90b..000000000 Binary files a/virtual_rainforest/example_data/dummy_litter_data.nc and /dev/null differ diff --git a/virtual_rainforest/example_data/dummy_soil_data.nc b/virtual_rainforest/example_data/dummy_soil_data.nc deleted file mode 100644 index 5a839a471..000000000 Binary files a/virtual_rainforest/example_data/dummy_soil_data.nc and /dev/null differ diff --git a/virtual_rainforest/example_data/elevation_dummy.nc b/virtual_rainforest/example_data/elevation_dummy.nc deleted file mode 100644 index 041065689..000000000 Binary files a/virtual_rainforest/example_data/elevation_dummy.nc and /dev/null differ diff --git a/virtual_rainforest/example_data/generation_scripts/__init__.py b/virtual_rainforest/example_data/generation_scripts/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/virtual_rainforest/example_data/generation_scripts/climate_example_data.py b/virtual_rainforest/example_data/generation_scripts/climate_example_data.py new file mode 100644 index 000000000..72c893120 --- /dev/null +++ b/virtual_rainforest/example_data/generation_scripts/climate_example_data.py @@ -0,0 +1,159 @@ +"""Simple climate data pre-processing example for `vr_run` example data. + +This section illustrates how to perform simple manipulations to adjust ERA5-Land data to +use in the Virtual Rainforest. This includes reading climate data from netcdf, +converting the data into an input format that is suitable for the abiotic module (e.g. +Kelvin to Celsius conversion), adding further required variables, and writing the output +in a new netcdf file. This does not include spatially interpolating coarser resolution +climate data and including the effects of local topography. + +Input file: ERA5_land.nc + +Metadata: + +* Muñoz-Sabater,J. et al: ERA5-Land: A state-of-the-art global reanalysis dataset for + land applications, Earth Syst. Sci. Data,13, 4349-4383, 2021. + [https://doi.org/10.5194/essd-13-4349-2021](https://doi.org/10.5194/essd-13-4349-2021) +* Product type: Monthly averaged reanalysis +* Variable: 2m dewpoint temperature, 2m temperature, Surface pressure, Total + precipitation +* Year: 2013, 2014 +* Month: January, February, March, April, May, June, July, August, September, October, + November, December +* Time: 00:00 +* Sub-region extraction: North 6°, West 116°, South 4°, East 118° +* Format: NetCDF3 + +Once the new netcdf file is created, the final step is to add the grid information to +the grid config `TOML` to load this data correctly when setting up a Virtual Rainforest +Simulation. Here, we can also add the 45 m offset to position the coordinated at the +centre of the grid cell. + +[core.grid] +cell_nx = 9 +cell_ny = 9 +cell_area = 8100 +xoff = -45.0 +yoff = -45.0 +""" + +import numpy as np +import xarray as xr +from xarray import DataArray + +from virtual_rainforest.example_data.generation_scripts.common import ( + time_index, + x_cell_ids, + y_cell_ids, +) + +# 1. Load ERA5_Land data in low resolution + +dataset = xr.open_dataset("../source/ERA5_land.nc") + +# 2. Convert temperatures units +# The standard output unit of ERA5-Land temperatures is Kelvin which we need to convert +# to degree Celsius for the Virtual Rainforest. This includes 2m air temperature and +# 2m dewpoint temperature which are used to calculate relative humidity in next step. + +dataset["t2m_C"] = dataset["t2m"] - 273.15 # 2m air temperature +dataset["d2m_C"] = dataset["d2m"] - 273.15 # 2m dewpoint temperature + +# 3. Calculate relative humidity +# Relative humidity (RH) is not a standard output from ERA5-Land but can be calculated +# from 2m dewpoint temperature (DPT) and 2m air temperature (T) + +dataset["rh2m"] = 100.0 * ( + np.exp(17.625 * dataset["d2m_C"] / (243.04 + dataset["d2m_C"])) + / np.exp(17.625 * dataset["t2m_C"] / (243.04 + dataset["t2m_C"])) +) + +# 4. Convert precipitation units +# The standard output unit for total precipitation in ERA5-Land is meters which we need +# to convert to millimeters. Further, the data represents mean daily accumulated +# precipitation for the 9x9km grid box, so the value has to be scaled to monthly (here +# 30 days). TODO handel daily inputs + +dataset["tp_mm"] = dataset["tp"] * 1000 * 30 + +# 5. Convert surface pressure units +# The standard output unit for surface pressure in ERA5-Land is Pascal (Pa) which we +# need to convert to Kilopascal (kPa). + +dataset["sp_kPa"] = dataset["sp"] / 1000 + +# 6. Clean dataset and rename variables +# In this step, we delete the initial temperature variables (K), precipitation (m), and +# surface pressure(Pa) and rename the remaining variables according to the Virtual +# Rainforest naming convention. + +dataset_cleaned = dataset.drop_vars(["d2m", "d2m_C", "t2m", "tp", "sp"]) +dataset_renamed = dataset_cleaned.rename( + { + "sp_kPa": "atmospheric_pressure_ref", + "tp_mm": "precipitation", + "t2m_C": "air_temperature_ref", + "rh2m": "relative_humidity_ref", + } +) + +# 7. Add further required variables +# In addition to the variables from the ERA5-Land datasset, a time series of atmospheric +# CO2 is needed. We add this here as a constant field. Mean annual temperature +# is calculated from the full time series of air temperatures; in the future, this +# should be done for each year. + +dataset_renamed["atmospheric_co2_ref"] = DataArray( + np.full_like(dataset_renamed["air_temperature_ref"], 400), + dims=["time", "latitude", "longitude"], +) +dataset_renamed["mean_annual_temperature"] = dataset_renamed[ + "air_temperature_ref" +].mean(dim="time") + +# 8. Change coordinates to x-y in meters +# The following code segment changes the coordinate names from `longitude/latitude` to +# `x/y` and the units from `minutes` to `meters`. The ERA5-Land coordinates are treated +# as the centre points of the grid cells which means that when setting up the grid, an +# offset of 4.5 km has to be added. + +dataset_xy = ( + dataset_renamed.rename_dims({"longitude": "x", "latitude": "y"}) + .assign_coords({"x": np.arange(0, 180000, 9000), "y": np.arange(0, 180000, 9000)}) + .drop({"longitude", "latitude"}) +) + +# 9. Scale to 90 m resolution +# The Virtual Rainforest example data is run on a 90 x 90 m grid. This means that some +# form of spatial downscaling has to be applied to the dataset, for example by spatially +# interpolating coarser resolution climate data and including the effects of local +# topography. This is not yet implemented! + +# For the purpose of a example data in the development stage, the coordinates can be +# overwritten to match the Virtual Rainforest grid and we can select a smaller area. +# Note that the resulting dataset does no longer match a digital elevation model for the +# area! + +dataset_xy_100 = ( + dataset_renamed.rename_dims({"longitude": "x", "latitude": "y"}) + .assign_coords({"x": np.arange(0, 1800, 90), "y": np.arange(0, 1800, 90)}) + .drop({"longitude", "latitude"}) +) +dataset_xy_example = dataset_xy_100.isel(x=x_cell_ids, y=y_cell_ids) + +# 10. Add time_index +# At the moemnt, the example model iterates over time indices rather than real datetime. +# Therefore, we add a `time_index` coordinate to the dataset: + +dataset_xy_timeindex = ( + dataset_xy_example.rename_dims({"time": "time_index"}) + .assign_coords({"time_index": time_index}) + .drop("time") +) + +# 11. Save netcdf +# Once we confirmed that our dataset is complete and our calculations are correct, we +# save it as a new netcdf file. This can then be fed into the code data loading system +# here {mod}`~virtual_rainforest.core.data`. + +dataset_xy_timeindex.to_netcdf("../data/example_climate_data.nc") diff --git a/virtual_rainforest/example_data/generation_scripts/common.py b/virtual_rainforest/example_data/generation_scripts/common.py new file mode 100644 index 000000000..5acdcfa90 --- /dev/null +++ b/virtual_rainforest/example_data/generation_scripts/common.py @@ -0,0 +1,30 @@ +"""Common components for example data generation. + +This file defines some simple shared components used for generating the example datasets +and which will be imported by the other code in this module. +""" + +import numpy as np + +# Generate range of cell numbers in the x and y directions. Here we have a 9x9 grid, +# so cells are numbered from 0 to 8 in each direction. +nx = 9 +ny = 9 +x_cell_ids = np.arange(nx) +y_cell_ids = np.arange(ny) + +# How far the center of each cell is from the origin. This applies to both the x and y +# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m +# from the origin in the x direction and 270m in the y direction. +cell_displacements = np.arange(0, 721, 90) + +# Cell id codes +n_cells = nx * ny +cell_id = np.arange(n_cells) + +# Time dimension - a time series of 24 months. +time = np.arange(np.datetime64("2013-01"), np.datetime64("2015-01")).astype( + "datetime64[D]" +) +n_dates = len(time) +time_index = np.arange(n_dates) diff --git a/virtual_rainforest/example_data/generation_scripts/elevation_example_data.py b/virtual_rainforest/example_data/generation_scripts/elevation_example_data.py new file mode 100644 index 000000000..926166935 --- /dev/null +++ b/virtual_rainforest/example_data/generation_scripts/elevation_example_data.py @@ -0,0 +1,75 @@ +"""Elevation data for `vr_run` example. + +This code creates an example elevation map from a digital elevation model +([SRTM](https://www2.jpl.nasa.gov/srtm/)) which is required to run the example hydrology +model. + +The commented code is used to download an existing processed SRTM dataset for the SAFE +Project area, covering the region 4°N 116°E to 5°N 117°E, see [SAFE +wiki](https://safeproject.net/dokuwiki/safe_gis/srtm) for reference. The processed +datafile can be downloaded from its [Zenodo record](https://zenodo.org/records/3490488). +The dataset is then downscaled to match the required target resolution of 90m. At the +moment this does not _actually_ align with the climate data, it is simply forced to the +same coordinates and resolution. + +To save processing and to avoid adding requirements to the package, the resulting data +is simply stored here and written to an appropriate file format. +""" + +import numpy as np +from xarray import DataArray + +from virtual_rainforest.example_data.generation_scripts.common import cell_displacements + +# # Load DEM in 30m resolution +# original_data = requests.get( +# "https://zenodo.org/records/3490488/files/SRTM_UTM50N_processed.tif" +# ) + +# data_path = Path("SRTM_UTM50N_processed.tif") +# with open(data_path, "wb") as f: +# f.write(original_data.content) + +# dem = rioxarray.open_rasterio("SRTM_UTM50N_processed.tif") + +# # Specify the original grid coordinates +# x = dem.coords["x"] # type: ignore # noqa +# y = dem.coords["y"] # type: ignore # noqa + +# # Create a new grid of longitude and latitude coordinates with higher resolution +# new_resolution = 26000 +# new_x = np.arange(x.min(), x.max(), new_resolution) # type: ignore # noqa +# new_y = np.arange(y.min(), y.max(), new_resolution) # type: ignore # noqa + +# # Project DEM to new mesh +# dem_9x9 = dem.interp(x=new_x, y=new_y) # type: ignore # noqa + +# # Reduce the data to reuired information for netcdf +# dem_cleaned = ( +# dem_9x9.drop_vars( +# ["band", "spatial_ref"] +# ).squeeze("band").drop_indexes(["x", "y"]) +# ) + +dem_data = np.array( + [ + [1353.0, 583.0, 248.333, 118.0, 24.0, 35.0, 11.0, 46.333, 0.0], + [1122.667, 446.111, 404.0, 462.667, 65.444, 52.667, 40.667, 0.0, 11.222], + [928.667, 284.778, 277.222, 552.667, 655.111, 671.667, 54.667, 42.222, 831.778], + [1008.0, 992.333, 440.0, 582.0, 523.0, 338.333, 596.0, 548.0, 314.0], + [619.0, 580.778, 471.222, 271.333, 293.667, 169.0, 609.333, 301.444, 175.667], + [374.0, 415.111, 500.111, 318.667, 138.556, 91.444, 88.0, 81.0, 152.778], + [1262.0, 316.667, 606.333, 401.0, 116.0, 110.667, 107.0, 16.0, 11.667], + [159.333, 1121.778, 1207.222, 524.333, 253.889, 77.444, 76.667, 34.333, 9.889], + [0.0, 820.222, 1154.889, 850.333, 299.222, 183.556, 7.333, 8.111, 17.889], + ] +) +dem_cleaned = DataArray(name="elevation", data=dem_data, dims=("x", "y")) + +# Change coordinates to match exmple data grid +dem_placed = dem_cleaned.assign_coords( + {"x": cell_displacements, "y": cell_displacements} +) + +# Save to netcdf and remove downloaded data +dem_placed.to_netcdf("../data/example_elevation_data.nc") diff --git a/virtual_rainforest/example_data/generation_scripts/litter_example_data.py b/virtual_rainforest/example_data/generation_scripts/litter_example_data.py new file mode 100644 index 000000000..5cca08c21 --- /dev/null +++ b/virtual_rainforest/example_data/generation_scripts/litter_example_data.py @@ -0,0 +1,60 @@ +"""Necessary litter data for `vr_run` example. + +This script generates the data required to run the litter component in the example +dataset. It is important to note that none of this data is real data. Instead, the code +below creates some typical values for the required input data and generates a simple +spatial pattern. Descriptions of the relevant litter pools can be found here: +/virtual_rainforest/docs/source/virtual_rainforest/soil/soil_details.md. +""" + +import numpy as np +from xarray import Dataset + +from virtual_rainforest.example_data.generation_scripts.common import cell_displacements + +# Calculate a gradient +gradient = np.multiply.outer(cell_displacements / 90, cell_displacements / 90) + +# Generate a range of plausible values (0.05-0.5) for the above ground metabolic litter +# pools [kg C m^-2]. +above_metabolic_values = 0.05 + 0.45 * (gradient) / (64) + +# Generate a range of plausible values (0.05-0.5) for the above ground structural litter +# pools [kg C m^-2]. +above_structural_values = 0.05 + 0.45 * (gradient) / (64) + +# Generate range of plausible values (4.75-12.0) for the woody litter pools [kg C m^-2]. +woody_values = 4.75 + 7.25 * (gradient) / (64) + +# Generate a range of plausible values (0.03-0.08) for the below ground metabolic litter +# pools [kg C m^-2]. +below_metabolic_values = 0.03 + 0.05 * (gradient) / (64) + +# Generate range of plausible values (0.05-0.125) for the below ground structural litter +# pools [kg C m^-2]. +below_structural_values = 0.05 + 0.075 * (gradient) / (64) + +# Generate a range of plausible values (0.01-0.9) for lignin proportions of the pools. +lignin_values = 0.01 + 0.89 * (gradient) / (64) + +# Make example litter dataset +example_litter_data = Dataset( + data_vars=dict( + litter_pool_above_metabolic=(["x", "y"], above_metabolic_values), + litter_pool_above_structural=(["x", "y"], above_structural_values), + litter_pool_woody=(["x", "y"], woody_values), + litter_pool_below_metabolic=(["x", "y"], below_metabolic_values), + litter_pool_below_structural=(["x", "y"], below_structural_values), + lignin_above_structural=(["x", "y"], lignin_values), + lignin_woody=(["x", "y"], lignin_values), + lignin_below_structural=(["x", "y"], lignin_values), + ), + coords=dict( + x=(["x"], cell_displacements), + y=(["y"], cell_displacements), + ), + attrs=dict(description="Litter data for example Virtual Rainforest model."), +) + +# Save the dummy litter data file as netcdf +example_litter_data.to_netcdf("../data/example_litter_data.nc") diff --git a/virtual_rainforest/example_data/generation_scripts/plant_data.py b/virtual_rainforest/example_data/generation_scripts/plant_example_data.py similarity index 81% rename from virtual_rainforest/example_data/generation_scripts/plant_data.py rename to virtual_rainforest/example_data/generation_scripts/plant_example_data.py index 2539359c8..f4f19bab0 100644 --- a/virtual_rainforest/example_data/generation_scripts/plant_data.py +++ b/virtual_rainforest/example_data/generation_scripts/plant_example_data.py @@ -9,17 +9,18 @@ import numpy as np from xarray import DataArray, Dataset +from virtual_rainforest.example_data.generation_scripts.common import ( + cell_id, + n_cells, + n_dates, + time, + time_index, +) + data = Dataset() -# Dimensions -n_cells = 81 -cell_id = np.arange(n_cells) -time = np.arange(np.datetime64("2013-01"), np.datetime64("2015-01")).astype( - "datetime64[D]" -) -n_dates = len(time) +# Plant cohort dimensions n_cohorts = n_cells * 2 -time_index = np.arange(n_dates) cohort_index = np.arange(n_cohorts) @@ -46,4 +47,4 @@ data["time"] = DataArray(time, coords={"time_index": time_index}) -data.to_netcdf("../example_plant_data.nc", format="NETCDF3_64BIT") +data.to_netcdf("../data/example_plant_data.nc", format="NETCDF3_64BIT") diff --git a/virtual_rainforest/example_data/generation_scripts/runoff_example_data.py b/virtual_rainforest/example_data/generation_scripts/runoff_example_data.py new file mode 100644 index 000000000..447cc795b --- /dev/null +++ b/virtual_rainforest/example_data/generation_scripts/runoff_example_data.py @@ -0,0 +1,26 @@ +"""Example runoff data for `vr_run`. + +This code randomly generates normally distributed surface runoff data to run in the +`vr_run` example data without the SPLASH implementation. +""" + +import numpy as np +from xarray import DataArray + +from virtual_rainforest.example_data.generation_scripts.common import cell_displacements + +# Randomly generate surface runoff with normal distribution +mu, sigma = 10, 2 # mean and standard deviation +s = np.random.default_rng(seed=42).normal( + mu, sigma, (len(cell_displacements), len(cell_displacements)) +) + +runoff = DataArray( + s, + dims=["x", "y"], + coords={"x": cell_displacements, "y": cell_displacements}, + name="surface_runoff", +) + +# Save to netcdf +runoff.to_netcdf("../data/example_surface_runoff_data.nc") diff --git a/docs/source/data_recipes/soil_dummy.md b/virtual_rainforest/example_data/generation_scripts/soil_example_data.py similarity index 53% rename from docs/source/data_recipes/soil_dummy.md rename to virtual_rainforest/example_data/generation_scripts/soil_example_data.py index c040c7cf6..c357f6fee 100644 --- a/docs/source/data_recipes/soil_dummy.md +++ b/virtual_rainforest/example_data/generation_scripts/soil_example_data.py @@ -1,35 +1,17 @@ ---- -jupytext: - cell_metadata_filter: -all - formats: md:myst - main_language: python - text_representation: - extension: .md - format_name: myst - format_version: 0.13 - jupytext_version: 1.13.8 -kernelspec: - display_name: vr_python3 - language: python - name: vr_python3 ---- +"""Example soil data for `vr_run`. -# Necessary soil data for dummy module +This script generates the data required to run the soil component of the example +dataset. **It is important to note that none of this data is real data**. Instead, this +data is a set of plausible values that the soil model absolutely has to function +sensibly for. +""" -This section explains how to generate the data required to run the soil component of the -dummy model. **It is important to note that none of this data is real data**. Instead, -this data is a set of plausible values for which the soil model absolutely has to -function sensibly for. - -```{code-cell} ipython3 import numpy as np from xarray import Dataset -# How far the center of each cell is from the origin. This applies to both the x and y -# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m -# from the origin in the x direction and 270m in the y direction. -cell_spacing = np.arange(0, 721, 90) -gradient = np.multiply.outer(cell_spacing/90, cell_spacing/90) +from virtual_rainforest.example_data.generation_scripts.common import cell_displacements + +gradient = np.outer(cell_displacements / 90, cell_displacements / 90) # Generate a range of plausible values (3.5-4.5) for the soil pH [unitless]. pH_values = 3.5 + 1.00 * (gradient) / (64) @@ -59,13 +41,8 @@ # Generate a range of plausible values (0.01-0.5) for the MAOM enzyme pool [kg C m^-3]. maom_enzyme_values = 0.01 + 0.49 * (gradient) / (64) -# How far the center of each cell is from the origin. This applies to both the x and y -# direction independently, so cell (0,0) is at the origin, whereas cell (2,3) is 180m -# from the origin in the x direction and 270m in the y direction. -cell_displacements = [0, 90, 180, 270, 360, 450, 540, 630, 720] - -# Make dummy soil dataset -dummy_soil_data = Dataset( +# Make example soil dataset +example_soil_data = Dataset( data_vars=dict( pH=(["x", "y"], pH_values), bulk_density=(["x", "y"], bulk_density_values), @@ -74,8 +51,8 @@ soil_c_pool_maom=(["x", "y"], maom_values), soil_c_pool_microbe=(["x", "y"], microbial_C_values), soil_c_pool_pom=(["x", "y"], pom_values), - soil_enzyme_pom = (["x", "y"], pom_enzyme_values), - soil_enzyme_maom = (["x", "y"], maom_enzyme_values), + soil_enzyme_pom=(["x", "y"], pom_enzyme_values), + soil_enzyme_maom=(["x", "y"], maom_enzyme_values), ), coords=dict( x=(["x"], cell_displacements), @@ -83,10 +60,6 @@ ), attrs=dict(description="Soil data for dummy Virtual Rainforest model."), ) -dummy_soil_data -``` -```python -# Save the dummy soil data file as netcdf -dummy_soil_data.to_netcdf("./dummy_soil_data.nc") -``` +# Save the example soil data file as netcdf +example_soil_data.to_netcdf("../data/example_soil_data.nc") diff --git a/virtual_rainforest/example_data/plants_dummy.nc b/virtual_rainforest/example_data/plants_dummy.nc deleted file mode 100644 index 11944080f..000000000 Binary files a/virtual_rainforest/example_data/plants_dummy.nc and /dev/null differ diff --git a/docs/source/data_recipes/ERA5_land.nc b/virtual_rainforest/example_data/source/ERA5_land.nc similarity index 100% rename from docs/source/data_recipes/ERA5_land.nc rename to virtual_rainforest/example_data/source/ERA5_land.nc diff --git a/virtual_rainforest/example_data/surface_runoff_dummy.nc b/virtual_rainforest/example_data/surface_runoff_dummy.nc deleted file mode 100644 index d9f460181..000000000 Binary files a/virtual_rainforest/example_data/surface_runoff_dummy.nc and /dev/null differ diff --git a/virtual_rainforest/main.py b/virtual_rainforest/main.py index aa8b7b0a0..c266b4805 100644 --- a/virtual_rainforest/main.py +++ b/virtual_rainforest/main.py @@ -9,7 +9,7 @@ from itertools import chain from math import ceil from pathlib import Path -from typing import Any, Optional, Union +from typing import Any import pint from numpy import datetime64, timedelta64 @@ -215,10 +215,10 @@ def _get_model_sequence( def vr_run( - cfg_paths: Union[str, Path, Sequence[Union[str, Path]]] = [], - cfg_strings: Union[str, list[str]] = [], + cfg_paths: str | Path | Sequence[str | Path] = [], + cfg_strings: str | list[str] = [], override_params: dict[str, Any] = {}, - logfile: Optional[Path] = None, + logfile: Path | None = None, ) -> None: """Perform a virtual rainforest simulation. diff --git a/virtual_rainforest/models/animals/animal_cohorts.py b/virtual_rainforest/models/animals/animal_cohorts.py index 33facb677..af63acfc5 100644 --- a/virtual_rainforest/models/animals/animal_cohorts.py +++ b/virtual_rainforest/models/animals/animal_cohorts.py @@ -8,9 +8,9 @@ from __future__ import annotations +from collections.abc import Sequence from math import ceil from random import choice -from typing import Optional, Sequence from numpy import random, timedelta64 @@ -121,7 +121,7 @@ def metabolize(self, temperature: float, dt: timedelta64) -> None: temperature, self.functional_group.metabolic_rate_terms, self.functional_group.metabolic_type, - ) * float((dt / timedelta64(1, "D"))) + ) * float(dt / timedelta64(1, "D")) self.mass_current -= min(self.mass_current, mass_metabolized) @@ -256,7 +256,7 @@ def forage_cohort( animal_list: Sequence[Resource], carcass_pool: DecayPool, excrement_pool: DecayPool, - ) -> Optional[Resource]: # Note the optional here, temporary + ) -> Resource | None: # Note the optional here, temporary """This function handles selection of resources from a list of options. Currently, this function is passed a list of plant or animal resources from diff --git a/virtual_rainforest/models/animals/animal_communities.py b/virtual_rainforest/models/animals/animal_communities.py index 8c6b78abc..67f8df724 100644 --- a/virtual_rainforest/models/animals/animal_communities.py +++ b/virtual_rainforest/models/animals/animal_communities.py @@ -9,9 +9,9 @@ from __future__ import annotations +from collections.abc import Callable, Iterable from itertools import chain from random import choice -from typing import Callable, Iterable from numpy import timedelta64 @@ -43,7 +43,7 @@ def __init__( data: Data, community_key: int, neighbouring_keys: list[int], - get_destination: Callable[[int], "AnimalCommunity"], + get_destination: Callable[[int], AnimalCommunity], constants: AnimalConsts = AnimalConsts(), ) -> None: # The constructor of the AnimalCommunity class. diff --git a/virtual_rainforest/models/hydrology/above_ground.py b/virtual_rainforest/models/hydrology/above_ground.py index 37ec45c85..7336a4598 100644 --- a/virtual_rainforest/models/hydrology/above_ground.py +++ b/virtual_rainforest/models/hydrology/above_ground.py @@ -7,7 +7,6 @@ """ # noqa: D205, D415 from math import sqrt -from typing import Optional, Union import numpy as np from numpy.typing import NDArray @@ -21,13 +20,13 @@ def calculate_soil_evaporation( relative_humidity: NDArray[np.float32], atmospheric_pressure: NDArray[np.float32], soil_moisture: NDArray[np.float32], - soil_moisture_residual: Union[float, NDArray[np.float32]], - soil_moisture_capacity: Union[float, NDArray[np.float32]], + soil_moisture_residual: float | NDArray[np.float32], + soil_moisture_capacity: float | NDArray[np.float32], leaf_area_index: NDArray[np.float32], - wind_speed: Union[float, NDArray[np.float32]], + wind_speed: float | NDArray[np.float32], celsius_to_kelvin: float, - density_air: Union[float, NDArray[np.float32]], - latent_heat_vapourisation: Union[float, NDArray[np.float32]], + density_air: float | NDArray[np.float32], + latent_heat_vapourisation: float | NDArray[np.float32], gas_constant_water_vapour: float, heat_transfer_coefficient: float, extinction_coefficient_global_radiation: float, @@ -293,7 +292,7 @@ def calculate_interception( def distribute_monthly_rainfall( total_monthly_rainfall: NDArray[np.float32], num_days: int, - seed: Optional[int] = None, + seed: int | None = None, ) -> NDArray[np.float32]: """Distributes total monthly rainfall over the specified number of days. @@ -369,7 +368,7 @@ def calculate_bypass_flow( def convert_mm_flow_to_m3_per_second( river_discharge_mm: NDArray[np.float32], - area: Union[int, float], + area: int | float, days: int, seconds_to_day: float, meters_to_millimeters: float, diff --git a/virtual_rainforest/models/hydrology/below_ground.py b/virtual_rainforest/models/hydrology/below_ground.py index 011364034..decadda27 100644 --- a/virtual_rainforest/models/hydrology/below_ground.py +++ b/virtual_rainforest/models/hydrology/below_ground.py @@ -3,7 +3,6 @@ matric potential, groundwater storage, and subsurface horizontal flow. """ # noqa: D205, D415 -from typing import Union import numpy as np from numpy.typing import NDArray @@ -12,12 +11,12 @@ def calculate_vertical_flow( soil_moisture: NDArray[np.float32], soil_layer_thickness: NDArray[np.float32], - soil_moisture_capacity: Union[float, NDArray[np.float32]], - soil_moisture_residual: Union[float, NDArray[np.float32]], - hydraulic_conductivity: Union[float, NDArray[np.float32]], - hydraulic_gradient: Union[float, NDArray[np.float32]], - nonlinearily_parameter: Union[float, NDArray[np.float32]], - groundwater_capacity: Union[float, NDArray[np.float32]], + soil_moisture_capacity: float | NDArray[np.float32], + soil_moisture_residual: float | NDArray[np.float32], + hydraulic_conductivity: float | NDArray[np.float32], + hydraulic_gradient: float | NDArray[np.float32], + nonlinearily_parameter: float | NDArray[np.float32], + groundwater_capacity: float | NDArray[np.float32], seconds_to_day: float, ) -> NDArray[np.float32]: r"""Calculate vertical water flow through soil column, [mm d-1]. @@ -205,10 +204,10 @@ def update_groundwater_storge( groundwater_storage: NDArray[np.float32], vertical_flow_to_groundwater: NDArray[np.float32], bypass_flow: NDArray[np.float32], - max_percolation_rate_uzlz: Union[float, NDArray[np.float32]], - groundwater_loss: Union[float, NDArray[np.float32]], - reservoir_const_upper_groundwater: Union[float, NDArray[np.float32]], - reservoir_const_lower_groundwater: Union[float, NDArray[np.float32]], + max_percolation_rate_uzlz: float | NDArray[np.float32], + groundwater_loss: float | NDArray[np.float32], + reservoir_const_upper_groundwater: float | NDArray[np.float32], + reservoir_const_lower_groundwater: float | NDArray[np.float32], ) -> dict[str, NDArray[np.float32]]: r"""Update groundwater storage and calculate below ground horizontal flow. diff --git a/virtual_rainforest/models/hydrology/hydrology_model.py b/virtual_rainforest/models/hydrology/hydrology_model.py index 9fa260cfc..e2b473dee 100644 --- a/virtual_rainforest/models/hydrology/hydrology_model.py +++ b/virtual_rainforest/models/hydrology/hydrology_model.py @@ -20,7 +20,7 @@ class as a child of the :class:`~virtual_rainforest.core.base_model.BaseModel` c from __future__ import annotations from math import sqrt -from typing import Any, Union +from typing import Any import numpy as np from numpy.typing import NDArray @@ -397,7 +397,7 @@ def update(self, time_index: int, **kwargs: Any) -> None: days: int = 30 # Set seed for random rainfall generator - seed: Union[None, int] = kwargs.pop("seed", None) + seed: None | int = kwargs.pop("seed", None) # Select variables at relevant heights for current time step hydro_input = setup_hydrology_input_current_timestep( @@ -694,7 +694,7 @@ def setup_hydrology_input_current_timestep( data: Data, time_index: int, days: int, - seed: Union[None, int], + seed: None | int, layer_roles: list[str], soil_moisture_capacity: float, soil_moisture_residual: float, diff --git a/virtual_rainforest/models/litter/litter_pools.py b/virtual_rainforest/models/litter/litter_pools.py index 54f283fb6..199718936 100644 --- a/virtual_rainforest/models/litter/litter_pools.py +++ b/virtual_rainforest/models/litter/litter_pools.py @@ -16,8 +16,6 @@ This is tracked because litter chemistry is a major determinant of litter decay rates. """ # noqa: D205, D415 -from typing import Union - import numpy as np from numpy.typing import NDArray @@ -735,9 +733,9 @@ def calculate_carbon_mineralised( def calculate_change_in_lignin( - input_carbon: Union[float, NDArray[np.float32]], + input_carbon: float | NDArray[np.float32], updated_pool_carbon: NDArray[np.float32], - input_lignin: Union[float, NDArray[np.float32]], + input_lignin: float | NDArray[np.float32], old_pool_lignin: NDArray[np.float32], ) -> NDArray[np.float32]: """Calculate the change in the lignin concentration of a particular litter pool. diff --git a/virtual_rainforest/models/plants/canopy.py b/virtual_rainforest/models/plants/canopy.py index e205d25af..93235217c 100644 --- a/virtual_rainforest/models/plants/canopy.py +++ b/virtual_rainforest/models/plants/canopy.py @@ -34,7 +34,7 @@ class LayerStructure: soil_layers: list[float] """A list of the depths of soil layer boundaries.""" above_canopy_height_offset: float - """The height above the canopy at which reference climate variables are measured.""" + """The height above the canopy of the provided reference climate variables.""" surface_layer_height: float """The height above ground used to represent surface conditions.""" subcanopy_layer_height: float diff --git a/virtual_rainforest/models/plants/community.py b/virtual_rainforest/models/plants/community.py index 26c3484e0..e970c9b22 100644 --- a/virtual_rainforest/models/plants/community.py +++ b/virtual_rainforest/models/plants/community.py @@ -7,8 +7,8 @@ """ # noqa: D205, D415 +from collections.abc import Mapping from dataclasses import dataclass, field -from typing import Mapping import numpy as np from numpy.typing import NDArray