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{ version = "^1.21.5", python = "<3.8" }, { version = ">=1.22", python = ">=3.8,<3.11"}, { version = ">=1.24", python = ">=3.11"} ] @@ -39,39 +38,21 @@ scipy = [ { version = ">=1.9", python = ">=3.11" }, # Change to >= 1.8 once this is fixed https://github.com/fraunhoferportugal/tsfel/issues/123 ] numba = [ - { version = "^0.56.4", python = "<3.8" }, { version = ">=0.57", python = ">=3.8,<3.9" }, { version = ">=0.59", python = ">=3.9" }, ] seglearn = "^1.2.3" tsfresh = "^0.20.0" # necessary to support Python 3.12 -statsmodels = [ - { version = ">=0.13", python = "<3.8" }, - { version = ">=0.14", python = ">=3.8" }, -] -tsfel = "^0.1.4" -# necessary to pin this version as tsfel for Python 3.7 does not pin gspread properly -gspread = [ - { version = "^5.12", python = "<3.8" }, - { version = ">=5.13", python = ">=3.8" } -] -#fastparquet = "0.8.0" # Lock to this version to resolve issue on macos with python 3.7 -pyarrow = [ - { version = ">=12", python = ">=3.7,<3.8" }, - { version = ">=15", python = ">=3.8"} -] +statsmodels = ">=0.14" +tsfel = ">=0.1.5" +gspread = ">=5.13" +pyarrow = ">=15" # Temporarily skip Windows to avoid install error pycatch22 = { version = ">=0.4", markers = "sys_platform != 'win32'" } -antropy = [ - { version = "^0.1.5", python = "<3.8" }, - { version = ">=0.1.6", python = ">=3.8" } -] +antropy = ">=0.1.6" nolds = "^0.5.2" -pyentrp = [ - { version = "^0.7.1", python = "<3.8" }, - { version = "^0.8.2", python = ">=3.8" } -] +pyentrp = "^0.8.2" # necessary to switch scikit-learn (as this is a dependency of tsfresh and seglearn) scikit-learn = [ { version = "<1.1.3", python = "<3.11" }, @@ -80,10 +61,7 @@ scikit-learn = [ # Linting ruff = "^0.4.1" black = "^22.12.0" -mypy = [ - { version = ">=1.4", python = "<3.8" }, - { version = ">=1.5", python = ">=3.8" } -] +mypy = ">=1.5" [tool.ruff] line-length = 88 diff --git a/tsflex/features/integrations.py b/tsflex/features/integrations.py index 405e50d4..557d3ea3 100644 --- a/tsflex/features/integrations.py +++ b/tsflex/features/integrations.py @@ -152,10 +152,6 @@ def get_output_names(config: dict) -> Union[str, List[str]]: config["parameters"][nb_outputs], int ): nb_outputs = config["parameters"][nb_outputs] - if ( - func_name == "lpcc" - ): # Because https://github.com/fraunhoferportugal/tsfel/issues/103 - nb_outputs += 1 if isinstance(nb_outputs, int): if nb_outputs == 1: return func_name diff --git a/tsflex/utils/argument_parsing.py b/tsflex/utils/argument_parsing.py index de5dd026..086c0837 100644 --- a/tsflex/utils/argument_parsing.py +++ b/tsflex/utils/argument_parsing.py @@ -10,6 +10,26 @@ def parse_n_jobs(n_jobs: Optional[int]) -> int: + """Parse the `n_jobs` argument. + + Parameters + ---------- + n_jobs : Optional[int] + The number of jobs to run in parallel. + + Returns + ------- + int + The number of jobs to run in parallel. + If `n_jobs` is specified, it is returned. + In the other case (i.e., `n_jobs` is `None`), the number of logical CPUs is + returned (if available), otherwise a warning is raised and 1 is returned. + + """ + if n_jobs is not None: + assert isinstance(n_jobs, int), "n_jobs must be an integer" + return n_jobs + # n_jobs is not specified _cpu_count = os.cpu_count() if _cpu_count is not None: n_jobs = _cpu_count