fix: remove unwanted dependenices

Author: f-allian

causal_testing/specification/variable.py

@@ -5,7 +5,6 @@
 from collections.abc import Callable
 from typing import TypeVar
 
-import lhsmdu
 from pandas import DataFrame
 from scipy.stats._distn_infrastructure import rv_generic
 
@@ -38,19 +37,6 @@ def __init__(self, name: str, datatype: T, distribution: rv_generic = None, hidd
     def __repr__(self):
         return f"{self.typestring()}: {self.name}::{self.datatype.__name__}"
 
-    def sample(self, n_samples: int) -> [T]:
-        """Generate a Latin Hypercube Sample of size n_samples according to the
-        Variable's distribution.
-
-        :param int n_samples: The number of samples to generate.
-        :return: A list of samples
-        :rtype: List[T]
-
-        """
-        assert self.distribution is not None, "Sampling requires a distribution to be specified."
-        lhs = lhsmdu.sample(1, n_samples).tolist()[0]
-        return lhsmdu.inverseTransformSample(self.distribution, lhs).tolist()
-
     def typestring(self) -> str:
         """Return the type of the Variable, e.g. INPUT, or OUTPUT. Note that
         this is NOT the datatype (int, str, etc.).

pyproject.toml

@@ -15,9 +15,7 @@ requires-python = ">=3.10"
 license = { text = "MIT" }
 keywords = ["causal inference", "verification"]
 dependencies = [
-    "fitter~=1.7",
     "lifelines~=0.29.0",
-    "lhsmdu~=1.1",
     "networkx>=3.4,<3.5",
     "numpy~=1.26",
     "pandas>=2.1",

tests/specification_tests/test_variable.py

@@ -13,10 +13,6 @@ class TestVariable(unittest.TestCase):
     def setUp(self) -> None:
         pass
 
-    def test_sample_flakey(self):
-        ip = Input("ip", float, norm)
-        self.assertGreater(kstest(ip.sample(10), norm.cdf).pvalue, 0.95)
-
     def test_typestring(self):
         class Var(Variable):
             pass