From 9dec00616bed49232a3e35b7b49cad2461ba5ed8 Mon Sep 17 00:00:00 2001 From: Daniel Huppmann Date: Sun, 3 Nov 2024 08:48:16 +0100 Subject: [PATCH 1/3] Update lock file --- poetry.lock | 3442 +++++++++++++++++++++++++++------------------------ 1 file changed, 1804 insertions(+), 1638 deletions(-) diff --git a/poetry.lock b/poetry.lock index af941a2a7..635a85724 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,13 +13,13 @@ files = [ [[package]] name = "alembic" -version = "1.13.2" +version = "1.13.3" description = "A database migration tool for SQLAlchemy." optional = false python-versions = ">=3.8" files = [ - {file = "alembic-1.13.2-py3-none-any.whl", hash = "sha256:6b8733129a6224a9a711e17c99b08462dbf7cc9670ba8f2e2ae9af860ceb1953"}, - {file = "alembic-1.13.2.tar.gz", hash = "sha256:1ff0ae32975f4fd96028c39ed9bb3c867fe3af956bd7bb37343b54c9fe7445ef"}, + {file = "alembic-1.13.3-py3-none-any.whl", hash = "sha256:908e905976d15235fae59c9ac42c4c5b75cfcefe3d27c0fbf7ae15a37715d80e"}, + {file = 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""" - EXCEL_FILE_KWS = ('engine', 'storage_options', 'engine_kwargs') + EXCEL_FILE_KWS = ("engine", "storage_options", "engine_kwargs") kwargs = kwargs.copy() - excel_file_kwargs = { - k: kwargs.pop(k) for k in EXCEL_FILE_KWS if k in kwargs - } + excel_file_kwargs = {k: kwargs.pop(k) for k in EXCEL_FILE_KWS if k in kwargs} # TODO remove when bumping minimum pandas dependency to >= 2.2 if "engine_kwargs" in excel_file_kwargs and packaging.version.parse( importlib.metadata.version("pandas") diff --git a/tests/conftest.py b/tests/conftest.py index 6145b8f7a..8c4cada4c 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,4 +1,5 @@ # has to go first for environment setup reasons + import matplotlib matplotlib.use("agg") @@ -27,12 +28,10 @@ TEST_API = "integration-test" TEST_API_NAME = "IXSE_INTEGRATION_TEST" - here = Path(__file__).parent IMAGE_BASELINE_DIR = here / "expected_figs" TEST_DATA_DIR = here / "data" - TEST_YEARS = [2005, 2010] TEST_DTS = [datetime(2005, 6, 17), datetime(2010, 7, 21)] TEST_TIME_STR = ["2005-06-17", "2010-07-21"] @@ -43,7 +42,6 @@ EXP_DATETIME_INDEX = pd.DatetimeIndex(["2005-06-17T00:00:00"], name="time") - TEST_DF = pd.DataFrame( [ ["model_a", "scen_a", "World", "Primary Energy", "EJ/yr", 1, 6.0], @@ -62,7 +60,6 @@ columns=META_IDX + META_COLS, ) - FULL_FEATURE_DF = pd.DataFrame( [ ["World", "Primary Energy", "EJ/yr", 12, 15], @@ -94,7 +91,6 @@ columns=["region", "variable", "unit"] + TEST_YEARS, ) - img = ["IMAGE", "a_scenario"] msg = ["MESSAGE-GLOBIOM", "a_scenario"] @@ -110,7 +106,6 @@ columns=IAMC_IDX + TEST_YEARS, ) - RECURSIVE_DF = pd.DataFrame( [ ["Secondary Energy|Electricity", "EJ/yr", 5, 19.0], @@ -122,7 +117,6 @@ columns=["variable", "unit"] + TEST_YEARS, ) - TEST_STACKPLOT_DF = pd.DataFrame( [ ["World", "Emissions|CO2|Energy|Oil", "Mt CO2/yr", 2, 3.2, 2.0, 1.8], diff --git a/tests/test_io.py b/tests/test_io.py index d0dfd520e..217abff06 100644 --- a/tests/test_io.py +++ b/tests/test_io.py @@ -21,6 +21,7 @@ try: import python_calamine # noqa: F401 + has_calamine = True except ModuleNotFoundError: # pragma: no cover has_calamine = False @@ -127,9 +128,9 @@ def test_read_xls(test_df_year): @pytest.mark.skipif( - packaging.version.parse(importlib.metadata.version("pandas")) \ - < packaging.version.parse("2.2.0"), - reason="pandas < 2.2.0 has inconsistent support for `engine_kwargs`", + packaging.version.parse(importlib.metadata.version("pandas")) + < packaging.version.parse("2.2.0"), + reason="pandas < 2.2.0 has inconsistent support for `engine_kwargs`", ) def test_read_xlsx_kwargs(test_df_year): # Test that kwargs to `IamDataFrame.__init__` are passed to `pd.read_excel` @@ -152,8 +153,8 @@ def test_read_xlsx_kwargs(test_df_year): @pytest.mark.skipif(not has_calamine, reason="Package 'python_calamine' not installed.") @pytest.mark.skipif( - packaging.version.parse(importlib.metadata.version("pandas")) \ - < packaging.version.parse("2.2.0"), + packaging.version.parse(importlib.metadata.version("pandas")) + < packaging.version.parse("2.2.0"), reason="`engine='calamine' requires pandas >= 2.2.0", ) def test_read_xlsx_calamine(test_df_year):