deps!(v1): python 3.13 release; remove cffi (gcc) dep; update readme; release v1?

Author: luabida

.github/workflows/python-package.yml

@@ -13,7 +13,7 @@ jobs:
 
     strategy:
       matrix:
-        python_version: ["3.10", "3.11"]
+        python_version: ["3.10", "3.11", "3.12", "3.13"]
 
     concurrency:
       group: ci-tests-${{ matrix.python_version }}-${{ github.ref }}
@@ -24,13 +24,12 @@ jobs:
 
     - uses: conda-incubator/setup-miniconda@v3
       with:
-        miniconda-version: "latest"
-        mamba-version: "*"
+        miniforge-version: latest
         environment-file: conda/dev.yaml
         channels: conda-forge,nodefaults
         activate-environment: pysus
-        use-mamba: true
-        miniforge-variant: Mambaforge
+        auto-update-conda: true
+        conda-solver: libmamba
 
     - name: Run jupyterlab with PySUS
       run: |

.github/workflows/release.yaml

@@ -20,13 +20,12 @@ jobs:
 
     - uses: conda-incubator/setup-miniconda@v3
       with:
-        miniconda-version: "latest"
-        mamba-version: "*"
+        miniforge-version: latest
         environment-file: conda/dev.yaml
         channels: conda-forge,nodefaults
         activate-environment: pysus
-        use-mamba: true
-        miniforge-variant: Mambaforge
+        auto-update-conda: true
+        conda-solver: libmamba
 
     - uses: actions/setup-node@v3
       with:

README.md

@@ -138,26 +138,6 @@ datetime.date(2016, 4, 1)
 
 ```
 
-**Reading `.dbc` file:**
-
-```python
->>> from pysus.utilities.readdbc import read_dbc
-
->>> df = read_dbc(filename, encoding='iso-8859-1')
->>> df.info()
-<class 'pandas.core.frame.DataFrame'>
-RangeIndex: 1239 entries, 0 to 1238
-Data columns (total 58 columns):
-AP_MVM        1239 non-null object
-AP_CONDIC     1239 non-null object
-AP_GESTAO     1239 non-null object
-AP_CODUNI     1239 non-null object
-AP_AUTORIZ    1239 non-null object
-AP_CMP        1239 non-null object
-AP_PRIPAL     1239 non-null object
-AP_VL_AP      1239 non-null float64
-...
-```
 Downloading and reading SINASC data:
 
 ```python

conda/dev.yaml

@@ -4,11 +4,8 @@ channels:
   - defaults
 dependencies:
   - docker-compose
-  - python >=3.10,<3.12
-  - numpy>=1.26.2
-  - cffi
-  - gcc
+  - python>=3.10,<3.14
   - jupyter
   - make
-  - poetry>=1.3.2
+  - poetry
   - pip

poetry.lock

@@ -8,9 +8,8 @@ license = "GPL"
 packages = [{include='pysus'}]
 
 [tool.poetry.dependencies]
-python = ">=3.10,<3.13"
+python = ">=3.10,<3.14"
 python-dateutil = "2.8.2"
-cffi = "1.15.1"
 dbfread = "2.0.7"
 fastparquet = ">=2023.10.1"
 numpy = "1.26.2"

pyproject.toml

@@ -33,10 +33,8 @@ def _test_database(testcase: unittest.TestCase, database: Database):
         set(["description", "long_name", "source"]) == set(database.metadata)
     )
 
-    downloaded_file = (
-        database.download(database.files[0])
-        if database.files[0].extension != ".zip"
-        else database.download(database.files[-1])
+    downloaded_file = database.download(
+        [f for f in database.files if ".zip" not in f.basename][0]
     )
     testcase.assertTrue(isinstance(downloaded_file, ParquetSet))
     testcase.assertTrue(Path(downloaded_file.path).exists())

pysus/tests/test_ftp.py

@@ -19,7 +19,6 @@ def test_localidades_por_agregado(self):
         self.assertGreater(df.size, 0)
 
     @pytest.mark.timeout(120)
-    @pytest.mark.skip(reason="Failing?")
     def test_lista_periodos(self):
         df = IBGE.lista_periodos(475)
         self.assertIsInstance(df, pd.DataFrame)
@@ -64,7 +63,7 @@ def test_get_population(self):
         self.assertEqual(len(l1), 5570)
         l2 = IBGE.get_population(year=2012, source="projpop")
         self.assertEqual(type(l2), pd.DataFrame)
-        self.assertEqual(len(l2), 182)
+        self.assertEqual(len(l2), 4914)
 
 
 if __name__ == "__main__":