def __init__(self, scr, scanner):
"""
Create a simple pager for showing scan results. As new terms
are entered, the results will be updated with the best matches
showing a highlight over the part of the string which matched.
@param scr - ncurses screen to use
@param scanner - fzsl.Scanner object that will be used to
generate the list of possible matches
"""
self._scr = scr
self._scanner = scanner
self._show_score = False
self._fm = fzsl.FuzzyMatch()
self._selection = 0
self._search = ''
y, x = self._scr.getmaxyx()
self._prompt = curses.newwin(1, x, y - 1, 0)
self._select = curses.newwin(y - 2, x, 0, 0)
self._max_y = y - 2
self._max_x = x - 1
self._cursor_x = 0
def testeth100e(self):
files = self._scanner.scan(TESTDIR)
for search in ["drineethe100ephy", "drinete100phy.c", "e100phy.c"]:
fm = fzsl.FuzzyMatch(files=files)
pr = cProfile.Profile()
for i in range(1, len(search)):
pr.enable()
fm.update_scores(search[:i])
pr.disable()
stats = pstats.Stats(pr)
pr.clear()
self.assertLess(stats.total_tt, 10)
print("%d/%d" % (
len(fm._library),
len([
f for f in fm._library.values() if f.round_ejected == 0
]),
))
print("search for %-20s: %f" % (search[:i], stats.total_tt))
print("\n".join(fm.top_matches()))
self.assertIn(
"/usr/src/linux/drivers/net/ethernet/intel/e1000e/phy.c",
fm.top_matches(),
)
def test_prefer_shorter():
fm = fzsl.FuzzyMatch()
files = ["a/z/b/z/c", "a/b/c", "a/bbbbb/c"]
fm.add_files(files)
fm.update_scores("abc")
assert "a/b/c" == fm.top_matches(1)[0]
def test_prefer_latter():
fm = fzsl.FuzzyMatch()
files = ["prefix/abc/stuff", "abc/d", "some/prefix/abc"]
fm.add_files(files)
fm.update_scores("abc")
assert "some/prefix/abc" == fm.top_matches(1)[0]
def test_ignorecase():
fm = fzsl.FuzzyMatch()
files = ["abc/def/ghi", "abc/d", "abc/ggg", "z/1", "z/2", "zz/3"]
fm.add_files(files)
fm.update_scores("ABC")
assert 3 == fm.n_matches
def test_start_end():
fm = fzsl.FuzzyMatch()
files = ["abc/def/ghi", "ggg/a/b/ggg/c/d", "ggg/abc"]
fm.add_files(files)
fm.update_scores("abc")
assert 0 == fm.start("abc/def/ghi")
assert 2 == fm.end("abc/def/ghi")
assert 4 == fm.start("ggg/a/b/ggg/c/d")
assert 12 == fm.end("ggg/a/b/ggg/c/d")
assert 4 == fm.start("ggg/abc")
assert 6 == fm.end("ggg/abc")
def test_update_scores():
fm = fzsl.FuzzyMatch()
files = ["abc/def/ghi", "abc/d", "abc/ggg", "z/1", "z/2", "zz/3"]
fm.add_files(files)
fm.update_scores("abc")
assert 3 == fm.n_matches
matches = fm.top_matches()
fm.update_scores("abcd")
assert 2 == fm.n_matches
fm.update_scores("abc")
assert 3 == fm.n_matches
assert matches == fm.top_matches()
fm.update_scores("ab")
fm.update_scores("a")
fm.update_scores("")
assert fm.n_matches == fm.n_files
def test_library():
fm = fzsl.FuzzyMatch()
assert 0 == fm.n_matches
assert 0 == fm.n_files
assert [] == fm.top_matches()
with pytest.raises(KeyError):
fm.score("a")
fm.add_files(["a", "b", "c"])
assert 3 == fm.n_matches
assert 3 == fm.n_files
assert ["a", "b", "c"] == sorted(fm.top_matches())
assert 0 == fm.score("a")
assert 0 == fm.start("a")
assert 0 == fm.end("a")
fm.reset_files([])
assert 0 == fm.n_matches
assert 0 == fm.n_files
assert [] == fm.top_matches()
def setUp(self):
self.fm = fzsl.FuzzyMatch()
