from defuzz import Defuzzer


def test_it():
    dfz = Defuzzer()
    assert dfz.defuzz((1, 2)) == (1, 2)
    assert dfz.defuzz((1, 3)) == (1, 3)
    assert dfz.defuzz((1.00000001, 2)) == (1, 2)
    assert dfz.defuzz((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)
    assert dfz.defuzz((2.00000001, 3)) == (2.00000001, 3)
    assert dfz.defuzz((2, 3)) == (2.00000001, 3)

import itertools
import math

from defuzz import Defuzzer

from hypothesis import given
from hypothesis.strategies import floats, lists, tuples

from hypo_helpers import f


def test_it():
    dfz = Defuzzer()
    assert dfz.defuzz((1, 2)) == (1, 2)
    assert dfz.defuzz((1, 3)) == (1, 3)
    assert dfz.defuzz((1.00000001, 2)) == (1, 2)
    assert dfz.defuzz((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)
    assert dfz.defuzz((2.00000001, 3)) == (2.00000001, 3)
    assert dfz.defuzz((2, 3)) == (2.00000001, 3)


@given(lists(tuples(f, f)))
def test_hypo(points):
    dfz = Defuzzer(round_digits=2)
    dfz_points = [dfz.defuzz(pt) for pt in points]

    # The output values should all be in the inputs.
    assert all(pt in points for pt in dfz_points)

    # No two unequal output values should be too close together.
    if len(points) > 1:
        for a, b in itertools.combinations(dfz_points, 2):
            if a == b:
                continue
            distance = math.hypot(a[0] - b[0], a[1] - b[1])
            assert distance > .01

Add a Hypothesis test for Defuzzer
Add a Hypothesis test for Defuzzer

+ import itertools
+ import math
+ 
  from defuzz import Defuzzer
+ 
+ from hypothesis import given
+ from hypothesis.strategies import floats, lists, tuples
+ 
+ from hypo_helpers import f
  
  
  def test_it():
      dfz = Defuzzer()
      assert dfz.defuzz((1, 2)) == (1, 2)
      assert dfz.defuzz((1, 3)) == (1, 3)
      assert dfz.defuzz((1.00000001, 2)) == (1, 2)
      assert dfz.defuzz((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)
      assert dfz.defuzz((2.00000001, 3)) == (2.00000001, 3)
      assert dfz.defuzz((2, 3)) == (2.00000001, 3)
  
+ 
+ @given(lists(tuples(f, f)))
+ def test_hypo(points):
+     dfz = Defuzzer(round_digits=2)
+     dfz_points = [dfz.defuzz(pt) for pt in points]
+ 
+     # The output values should all be in the inputs.
+     assert all(pt in points for pt in dfz_points)
+ 
+     # No two unequal output values should be too close together.
+     if len(points) > 1:
+         for a, b in itertools.combinations(dfz_points, 2):
+             if a == b:
+                 continue
+             distance = math.hypot(a[0] - b[0], a[1] - b[1])
+             assert distance > .01
+ 
Add a Hypothesis test for Defuzzer
## Code Before:
from defuzz import Defuzzer


def test_it():
    dfz = Defuzzer()
    assert dfz.defuzz((1, 2)) == (1, 2)
    assert dfz.defuzz((1, 3)) == (1, 3)
    assert dfz.defuzz((1.00000001, 2)) == (1, 2)
    assert dfz.defuzz((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)
    assert dfz.defuzz((2.00000001, 3)) == (2.00000001, 3)
    assert dfz.defuzz((2, 3)) == (2.00000001, 3)

## Instruction:
Add a Hypothesis test for Defuzzer
## Code After:
import itertools
import math

from defuzz import Defuzzer

from hypothesis import given
from hypothesis.strategies import floats, lists, tuples

from hypo_helpers import f


def test_it():
    dfz = Defuzzer()
    assert dfz.defuzz((1, 2)) == (1, 2)
    assert dfz.defuzz((1, 3)) == (1, 3)
    assert dfz.defuzz((1.00000001, 2)) == (1, 2)
    assert dfz.defuzz((1, 2, 3, 4, 5)) == (1, 2, 3, 4, 5)
    assert dfz.defuzz((2.00000001, 3)) == (2.00000001, 3)
    assert dfz.defuzz((2, 3)) == (2.00000001, 3)


@given(lists(tuples(f, f)))
def test_hypo(points):
    dfz = Defuzzer(round_digits=2)
    dfz_points = [dfz.defuzz(pt) for pt in points]

    # The output values should all be in the inputs.
    assert all(pt in points for pt in dfz_points)

    # No two unequal output values should be too close together.
    if len(points) > 1:
        for a, b in itertools.combinations(dfz_points, 2):
            if a == b:
                continue
            distance = math.hypot(a[0] - b[0], a[1] - b[1])
            assert distance > .01
