From 89880c3bc4990f27f2ed7f4dcb6700d8a69244db Mon Sep 17 00:00:00 2001
From: Leif Denby <leif@denby.eu>
Date: Mon, 5 Aug 2024 14:54:43 +0200
Subject: [PATCH] prepare release v0.2.0 (#14)

---
 CHANGELOG.md   | 47 ++++++++++++++++++++++++++++++-----------------
 pyproject.toml |  2 +-
 2 files changed, 31 insertions(+), 18 deletions(-)

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 9885c4f..6b4af25 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,7 +5,9 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
-## [unreleased](https://github.com/mllam/mllam-data-prep/compare/v0.1.0...HEAD)
+## [unreleased](https://github.com/mllam/mllam-data-prep/releases/tags/v0.2.0)
+
+[All changes](https://github.com/mllam/mllam-data-prep/compare/v0.2.0...v0.1.0)
 
 ### Added
 
@@ -24,24 +26,35 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Changed
 
-- split dataset creation and storage to zarr into separate functions `mllam_data_prep.create_dataset(...)` and `mllam_data_prep.create_dataset_zarr(...)` respectively ![\#7](https://github.com/mllam/mllam-data-prep/pull/7)
+- split dataset creation and storage to zarr into separate functions
+  `mllam_data_prep.create_dataset(...)` and
+  `mllam_data_prep.create_dataset_zarr(...)` respectively
+  ![\#7](https://github.com/mllam/mllam-data-prep/pull/7)
 
 - changes to spec from v0.1.0:
-  - the `architecture` section has been renamed `output` to make it clearer that this section defines the
-    properties of the output of `mllam-data-prep`
-  - `sampling_dim` removed from `output` (previously `architecture`) section of spec, this is not needed to create the training data
-  - the variables (and their dimensions) of the output definition has been renamed from `architecture.input_variables` to `output.variables`
-  - coordinate value ranges for the dimensions of the output (i.e. what that the architecture expects as input) has been renamed from
-    `architecture.input_ranges` to `output.coord_ranges` to make the use more clear
-  - selection on variable coordinates values is now set with `inputs.{dataset_name}.variables.{variable_name}.values`
-    rather than `inputs.{dataset_name}.variables.{variable_name}.sel`
-  - when dimension-mapping method `stack_variables_by_var_name` is used the formatting string for the new variable
-    is now called `name_format` rather than `name`
-  - when dimension-mapping is done by simply renaming a dimension this configuration now needs to be set by providing
-    the named method (`rename`) explicitly through the `method` key, i.e. rather than `{to_dim}: {from_dim}` it is now
-    `{to_dim}: {method: rename, dim: {from_dim}}` to match the signature of the other dimension-mapping methods.
-  - attribute `inputs.{dataset_name}.name` attribute has been removed, with the key `dataset_name` this is
-    superfluous
+  - the `architecture` section has been renamed `output` to make it clearer
+    that this section defines the properties of the output of `mllam-data-prep`
+  - `sampling_dim` removed from `output` (previously `architecture`) section of
+    spec, this is not needed to create the training data
+  - the variables (and their dimensions) of the output definition has been
+    renamed from `architecture.input_variables` to `output.variables`
+  - coordinate value ranges for the dimensions of the output (i.e. what that
+    the architecture expects as input) has been renamed from
+    `architecture.input_ranges` to `output.coord_ranges` to make the use more
+    clear
+  - selection on variable coordinates values is now set with
+    `inputs.{dataset_name}.variables.{variable_name}.values` rather than
+    `inputs.{dataset_name}.variables.{variable_name}.sel`
+  - when dimension-mapping method `stack_variables_by_var_name` is used the
+    formatting string for the new variable is now called `name_format` rather
+    than `name`
+  - when dimension-mapping is done by simply renaming a dimension this
+    configuration now needs to be set by providing the named method (`rename`)
+    explicitly through the `method` key, i.e. rather than `{to_dim}:
+    {from_dim}` it is now `{to_dim}: {method: rename, dim: {from_dim}}` to
+    match the signature of the other dimension-mapping methods.
+  - attribute `inputs.{dataset_name}.name` attribute has been removed, with the
+    key `dataset_name` this is superfluous
 
 - relax minimuim python version requirement to `>3.8` to simplify downstream
   usage ![\#13](https://github.com/mllam/mllam-data-prep/pull/13)
diff --git a/pyproject.toml b/pyproject.toml
index 5d0ef0a..8fa1cf2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "mllam-data-prep"
-version = "0.1.0"
+version = "0.2.0"
 description = "dataset preparation for data-driven weather models"
 authors = [
     {name = "Leif Denby", email = "lcd@dmi.dk"},