Documentation, cleanup, multi-valued logic

tests/test_bench.py

@@ -5,7 +5,7 @@ def test_b01(mydir):
     with open(mydir / 'b01.bench', 'r') as f:
         c = bench.parse(f.read())
         assert 92 == len(c.nodes)
-    c = bench.parse(mydir / 'b01.bench')
+    c = bench.load(mydir / 'b01.bench')
     assert 92 == len(c.nodes)
 
 

tests/test_logic.py

@@ -23,6 +23,14 @@ def test_mvarray():
     assert ary.length == 1
     assert ary.width == 4
 
+    ary = lg.MVArray("1")
+    assert ary.length == 1
+    assert ary.width == 1
+
+    ary = lg.MVArray(["1"])
+    assert ary.length == 1
+    assert ary.width == 1
+
     # instantiation with multiple vectors
 
     ary = lg.MVArray([[0, 0], [0, 1], [1, 0], [1, 1]])
@@ -53,14 +61,14 @@ def test_mvarray():
 
     # casting to 4-valued logic
 
-    ary = lg.MVArray([0, 1, 2, None, 'F'])
+    ary = lg.MVArray([0, 1, 2, None, 'F'], m=4)
     assert ary.data[0] == lg.ZERO
     assert ary.data[1] == lg.ONE
     assert ary.data[2] == lg.UNKNOWN
     assert ary.data[3] == lg.UNASSIGNED
     assert ary.data[4] == lg.ZERO
 
-    ary = lg.MVArray("0-X1PRFN")
+    ary = lg.MVArray("0-X1PRFN", m=4)
     assert ary.data[0] == lg.ZERO
     assert ary.data[1] == lg.UNASSIGNED
     assert ary.data[2] == lg.UNKNOWN
@@ -77,7 +85,7 @@ def test_mvarray():
     assert ary.data[1] == lg.ONE
     assert ary.data[2] == lg.UNKNOWN
     assert ary.data[3] == lg.UNASSIGNED
-    assert ary.data[4] == lg.FALLING
+    assert ary.data[4] == lg.FALL
 
     ary = lg.MVArray("0-X1PRFN", m=8)
     assert ary.data[0] == lg.ZERO
@@ -85,8 +93,8 @@ def test_mvarray():
     assert ary.data[2] == lg.UNKNOWN
     assert ary.data[3] == lg.ONE
     assert ary.data[4] == lg.PPULSE
-    assert ary.data[5] == lg.RISING
-    assert ary.data[6] == lg.FALLING
+    assert ary.data[5] == lg.RISE
+    assert ary.data[6] == lg.FALL
     assert ary.data[7] == lg.NPULSE
 
     # copy constructor and casting
@@ -103,3 +111,28 @@ def test_mvarray():
     ary2 = lg.MVArray(ary, m=2)
     assert ary2.data[1] == lg.ZERO
     assert ary2.data[7] == lg.ONE
+
+
+def test_mv_operations():
+    x1_2v = lg.MVArray("0011", m=2)
+    x2_2v = lg.MVArray("0101", m=2)
+    x1_4v = lg.MVArray("0000XXXX----1111", m=4)
+    x2_4v = lg.MVArray("0X-10X-10X-10X-1", m=4)
+    x1_8v = lg.MVArray("00000000XXXXXXXX--------11111111PPPPPPPPRRRRRRRRFFFFFFFFNNNNNNNN", m=8)
+    x2_8v = lg.MVArray("0X-1PRFN0X-1PRFN0X-1PRFN0X-1PRFN0X-1PRFN0X-1PRFN0X-1PRFN0X-1PRFN", m=8)
+
+    assert str(lg.mv_not(x1_2v)) == "['1100']"
+    assert str(lg.mv_not(x1_4v)) == "['1111XXXXXXXX0000']"
+    assert str(lg.mv_not(x1_8v)) == "['11111111XXXXXXXXXXXXXXXX00000000NNNNNNNNFFFFFFFFRRRRRRRRPPPPPPPP']"
+
+    assert str(lg.mv_or(x1_2v, x2_2v)) == "['0111']"
+    assert str(lg.mv_or(x1_4v, x2_4v)) == "['0XX1XXX1XXX11111']"
+    assert str(lg.mv_or(x1_8v, x2_8v)) == "['0XX1PRFNXXX1XXXXXXX1XXXX11111111PXX1PRFNRXX1RRNNFXX1FNFNNXX1NNNN']"
+
+    assert str(lg.mv_and(x1_2v, x2_2v)) == "['0001']"
+    assert str(lg.mv_and(x1_4v, x2_4v)) == "['00000XXX0XXX0XX1']"
+    assert str(lg.mv_and(x1_8v, x2_8v)) == "['000000000XXXXXXX0XXXXXXX0XX1PRFN0XXPPPPP0XXRPRPR0XXFPPFF0XXNPRFN']"
+
+    assert str(lg.mv_xor(x1_2v, x2_2v)) == "['0110']"
+    assert str(lg.mv_xor(x1_4v, x2_4v)) == "['0XX1XXXXXXXX1XX0']"
+    assert str(lg.mv_xor(x1_8v, x2_8v)) == "['0XX1PRFNXXXXXXXXXXXXXXXX1XX0NFRPPXXNPRFNRXXFRPNFFXXRFNPRNXXPNFRP']"

tests/test_logic_sim.py

@@ -141,7 +141,7 @@ def test_vd3():
         
 
 def test_b01(mydir):
-    c = bench.parse(mydir / 'b01.bench')
+    c = bench.load(mydir / 'b01.bench')
 
     # 2-valued
     s = LogicSim(c, 8)

tests/test_sdf.py

@@ -74,13 +74,13 @@ def test_parse():
 
 
 def test_b14(mydir):
-    df = sdf.parse(mydir / 'b14.sdf.gz')
+    df = sdf.load(mydir / 'b14.sdf.gz')
     assert df.name == 'b14'
 
 
 def test_gates(mydir):
-    c = verilog.parse(mydir / 'gates.v')
-    df = sdf.parse(mydir / 'gates.sdf')
+    c = verilog.load(mydir / 'gates.v')
+    df = sdf.load(mydir / 'gates.sdf')
     lt = df.annotation(c, pin_index, dataset=1)
     nand_a = c.cells['nandgate'].ins[0]
     nand_b = c.cells['nandgate'].ins[1]

tests/test_stil.py

@@ -2,7 +2,7 @@ from kyupy import stil
 
 
 def test_b14(mydir):
-    s = stil.parse(mydir / 'b14.stuck.stil.gz')
+    s = stil.load(mydir / 'b14.stuck.stil.gz')
     assert 10 == len(s.signal_groups)
     assert 1 == len(s.scan_chains)
     assert 2163 == len(s.calls)

tests/test_verilog.py

@@ -5,5 +5,4 @@ def test_b01(mydir):
     with open(mydir / 'b01.v', 'r') as f:
         modules = verilog.parse(f.read())
     assert modules is not None
-    assert verilog.parse(mydir / 'b01.v') is not None
-
+    assert verilog.load(mydir / 'b01.v') is not None

tests/test_wave_sim.py

@@ -1,11 +1,10 @@
 import numpy as np
-from kyupy.wave_sim import WaveSim, wave_eval, TMIN, TMAX
+from kyupy.wave_sim import WaveSim, WaveSimCuda, wave_eval, TMIN, TMAX
 from kyupy.logic_sim import LogicSim
 from kyupy import verilog
 from kyupy import sdf
 from kyupy.saed import pin_index
 from kyupy.packed_vectors import PackedVectors
-from kyupy.wave_sim_cuda import WaveSimCuda
 
 
 def test_wave_eval():
@@ -122,24 +121,24 @@ def compare_to_logic_sim(wsim):
 
 
 def test_b14(mydir):
-    c = verilog.parse(mydir / 'b14.v.gz', branchforks=True)
-    df = sdf.parse(mydir / 'b14.sdf.gz')
+    c = verilog.load(mydir / 'b14.v.gz', branchforks=True)
+    df = sdf.load(mydir / 'b14.sdf.gz')
     lt = df.annotation(c, pin_index)
     wsim = WaveSim(c, lt, 8)
     compare_to_logic_sim(wsim)
 
 
 def test_b14_strip_forks(mydir):
-    c = verilog.parse(mydir / 'b14.v.gz', branchforks=True)
-    df = sdf.parse(mydir / 'b14.sdf.gz')
+    c = verilog.load(mydir / 'b14.v.gz', branchforks=True)
+    df = sdf.load(mydir / 'b14.sdf.gz')
     lt = df.annotation(c, pin_index)
     wsim = WaveSim(c, lt, 8, strip_forks=True)
     compare_to_logic_sim(wsim)
 
 
 def test_b14_cuda(mydir):
-    c = verilog.parse(mydir / 'b14.v.gz', branchforks=True)
-    df = sdf.parse(mydir / 'b14.sdf.gz')
+    c = verilog.load(mydir / 'b14.v.gz', branchforks=True)
+    df = sdf.load(mydir / 'b14.sdf.gz')
     lt = df.annotation(c, pin_index)
     wsim = WaveSimCuda(c, lt, 8)
     compare_to_logic_sim(wsim)