Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
123 lines
2.7 KiB
123 lines
2.7 KiB
import os
|
|
from typing import List, Optional
|
|
|
|
import pytest
|
|
|
|
from pandas import read_csv, read_table
|
|
|
|
|
|
class BaseParser:
|
|
engine: Optional[str] = None
|
|
low_memory = True
|
|
float_precision_choices: List[Optional[str]] = []
|
|
|
|
def update_kwargs(self, kwargs):
|
|
kwargs = kwargs.copy()
|
|
kwargs.update(dict(engine=self.engine, low_memory=self.low_memory))
|
|
|
|
return kwargs
|
|
|
|
def read_csv(self, *args, **kwargs):
|
|
kwargs = self.update_kwargs(kwargs)
|
|
return read_csv(*args, **kwargs)
|
|
|
|
def read_table(self, *args, **kwargs):
|
|
kwargs = self.update_kwargs(kwargs)
|
|
return read_table(*args, **kwargs)
|
|
|
|
|
|
class CParser(BaseParser):
|
|
engine = "c"
|
|
float_precision_choices = [None, "high", "round_trip"]
|
|
|
|
|
|
class CParserHighMemory(CParser):
|
|
low_memory = False
|
|
|
|
|
|
class CParserLowMemory(CParser):
|
|
low_memory = True
|
|
|
|
|
|
class PythonParser(BaseParser):
|
|
engine = "python"
|
|
float_precision_choices = [None]
|
|
|
|
|
|
@pytest.fixture
|
|
def csv_dir_path(datapath):
|
|
"""
|
|
The directory path to the data files needed for parser tests.
|
|
"""
|
|
return datapath("io", "parser", "data")
|
|
|
|
|
|
@pytest.fixture
|
|
def csv1(datapath):
|
|
"""
|
|
The path to the data file "test1.csv" needed for parser tests.
|
|
"""
|
|
return os.path.join(datapath("io", "data", "csv"), "test1.csv")
|
|
|
|
|
|
_cParserHighMemory = CParserHighMemory()
|
|
_cParserLowMemory = CParserLowMemory()
|
|
_pythonParser = PythonParser()
|
|
|
|
_py_parsers_only = [_pythonParser]
|
|
_c_parsers_only = [_cParserHighMemory, _cParserLowMemory]
|
|
_all_parsers = [*_c_parsers_only, *_py_parsers_only]
|
|
|
|
_py_parser_ids = ["python"]
|
|
_c_parser_ids = ["c_high", "c_low"]
|
|
_all_parser_ids = [*_c_parser_ids, *_py_parser_ids]
|
|
|
|
|
|
@pytest.fixture(params=_all_parsers, ids=_all_parser_ids)
|
|
def all_parsers(request):
|
|
"""
|
|
Fixture all of the CSV parsers.
|
|
"""
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=_c_parsers_only, ids=_c_parser_ids)
|
|
def c_parser_only(request):
|
|
"""
|
|
Fixture all of the CSV parsers using the C engine.
|
|
"""
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=_py_parsers_only, ids=_py_parser_ids)
|
|
def python_parser_only(request):
|
|
"""
|
|
Fixture all of the CSV parsers using the Python engine.
|
|
"""
|
|
return request.param
|
|
|
|
|
|
_utf_values = [8, 16, 32]
|
|
|
|
_encoding_seps = ["", "-", "_"]
|
|
_encoding_prefixes = ["utf", "UTF"]
|
|
|
|
_encoding_fmts = [
|
|
f"{prefix}{sep}" + "{0}" for sep in _encoding_seps for prefix in _encoding_prefixes
|
|
]
|
|
|
|
|
|
@pytest.fixture(params=_utf_values)
|
|
def utf_value(request):
|
|
"""
|
|
Fixture for all possible integer values for a UTF encoding.
|
|
"""
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=_encoding_fmts)
|
|
def encoding_fmt(request):
|
|
"""
|
|
Fixture for all possible string formats of a UTF encoding.
|
|
"""
|
|
return request.param
|
|
|