chore: removed import-boilerplate in favor of pip -e

Author: amogorkon

tests/test_caro.py

@@ -1,56 +1,50 @@
-import sys
-from pathlib import Path
-
-src = str((Path(__file__).parent / "../src").resolve())
-sys.path.insert(0, src)
-
-import numpy as np
-from fuzzylogic.classes import Domain, Rule
-from fuzzylogic.functions import R, S, trapezoid
-
-temp = Domain("Temperatur", -30, 100, res=0.0001)  # ,res=0.1)
-temp.kalt = S(-10, 30)
-temp.heiß = R(30, 70)
-temp.mittel = ~temp.heiß & ~temp.kalt
-
-
-tan = Domain("tandelta", 0, 1.3, res=0.0001)  # ,res=0.1)
-tan.klein = S(0.1, 0.5)
-tan.groß = R(0.5, 0.9)
-tan.mittel = ~tan.groß & ~tan.klein
-
-gef = Domain("Gefahrenbewertung", -0.5, 1.5, res=0.0001)  # ,res=0.1)
-gef.klein = trapezoid(-0.5, 0, 0, 0.5)
-gef.groß = trapezoid(0.5, 1, 1, 1.5)
-gef.mittel = trapezoid(0, 0.5, 0.5, 1)
-
-R1 = Rule({(temp.kalt, tan.klein): gef.klein})
-R2 = Rule({(temp.mittel, tan.klein): gef.klein})
-R3 = Rule({(temp.heiß, tan.klein): gef.klein})
-R4 = Rule({(temp.kalt, tan.mittel): gef.klein})
-R5 = Rule({(temp.mittel, tan.mittel): gef.mittel})
-R6 = Rule({(temp.heiß, tan.mittel): gef.groß})
-R7 = Rule({(temp.kalt, tan.groß): gef.mittel})
-R8 = Rule({(temp.mittel, tan.groß): gef.groß})
-R9 = Rule({(temp.heiß, tan.groß): gef.groß})
-
-
-rules = R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9
-
-table = """
-            tan.klein	tan.mittel	tan.groß
-temp.kalt	gef.klein	gef.klein	gef.mittel
-temp.mittel	gef.klein	gef.mittel	gef.groß
-temp.heiß	gef.klein	gef.groß	gef.groß
-"""
-
-from fuzzylogic.classes import rule_from_table
-
-table_rules = rule_from_table(table, globals())
-
-assert table_rules == rules
-
-value = {temp: 20, tan: 0.55}
-result = rules(value)
-assert isinstance(result, float)
-assert np.isclose(result, 0.45, atol=0.0001)
+import numpy as np
+from fuzzylogic.classes import Domain, Rule
+from fuzzylogic.functions import R, S, trapezoid
+
+temp = Domain("Temperatur", -30, 100, res=0.0001)  # ,res=0.1)
+temp.kalt = S(-10, 30)
+temp.heiß = R(30, 70)
+temp.mittel = ~temp.heiß & ~temp.kalt
+
+
+tan = Domain("tandelta", 0, 1.3, res=0.0001)  # ,res=0.1)
+tan.klein = S(0.1, 0.5)
+tan.groß = R(0.5, 0.9)
+tan.mittel = ~tan.groß & ~tan.klein
+
+gef = Domain("Gefahrenbewertung", -0.5, 1.5, res=0.0001)  # ,res=0.1)
+gef.klein = trapezoid(-0.5, 0, 0, 0.5)
+gef.groß = trapezoid(0.5, 1, 1, 1.5)
+gef.mittel = trapezoid(0, 0.5, 0.5, 1)
+
+R1 = Rule({(temp.kalt, tan.klein): gef.klein})
+R2 = Rule({(temp.mittel, tan.klein): gef.klein})
+R3 = Rule({(temp.heiß, tan.klein): gef.klein})
+R4 = Rule({(temp.kalt, tan.mittel): gef.klein})
+R5 = Rule({(temp.mittel, tan.mittel): gef.mittel})
+R6 = Rule({(temp.heiß, tan.mittel): gef.groß})
+R7 = Rule({(temp.kalt, tan.groß): gef.mittel})
+R8 = Rule({(temp.mittel, tan.groß): gef.groß})
+R9 = Rule({(temp.heiß, tan.groß): gef.groß})
+
+
+rules = R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9
+
+table = """
+            tan.klein	tan.mittel	tan.groß
+temp.kalt	gef.klein	gef.klein	gef.mittel
+temp.mittel	gef.klein	gef.mittel	gef.groß
+temp.heiß	gef.klein	gef.groß	gef.groß
+"""
+
+from fuzzylogic.classes import rule_from_table
+
+table_rules = rule_from_table(table, globals())
+
+assert table_rules == rules
+
+value = {temp: 20, tan: 0.55}
+result = rules(value)
+assert isinstance(result, float)
+assert np.isclose(result, 0.45, atol=0.0001)

tests/test_functionality.py

@@ -1,22 +1,15 @@
 """
-Functional test of the fuzzylogic lib 'fuzzy'.
+Functional tests of the fuzzylogic library.
 """
 
-import os
-import sys
-
-here = os.path.split(os.path.abspath(os.path.dirname(__file__)))
-src = os.path.join(here[0], "src")
-sys.path.insert(0, src)
-print(sys.path)
-
 import unittest
 
+from numpy import array_equal
+from pytest import fixture
+
 from fuzzylogic.classes import Domain, Set
 from fuzzylogic.functions import R, S, bounded_linear
-from fuzzylogic.rules import rescale, weighted_sum
-from numpy import array_equal
-from pytest import fixture, raises
+from fuzzylogic.rules import weighted_sum
 
 
 @fixture
@@ -39,9 +32,7 @@ def simple():
 def test_array(simple):
     assert array_equal(simple.low.array(), [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
     assert array_equal(simple.high.array(), [0, 0, 0, 0, 0, 0, 0, 0, 0, 0.5, 1.0])
-    assert (
-        len(simple.low.array()) == 11
-    )  # unlike arrays and lists, upper boundary is INCLUDED
+    assert len(simple.low.array()) == 11  # unlike arrays and lists, upper boundary is INCLUDED
 
 
 def test_value(temp):