晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。 林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。 见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝) 既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。 南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。
|
Server : Apache System : Linux srv.rainic.com 4.18.0-553.47.1.el8_10.x86_64 #1 SMP Wed Apr 2 05:45:37 EDT 2025 x86_64 User : rainic ( 1014) PHP Version : 7.4.33 Disable Function : exec,passthru,shell_exec,system Directory : /lib64/python2.7/unittest/ |
Upload File : |
"""Various utility functions."""
from collections import namedtuple, OrderedDict
__unittest = True
_MAX_LENGTH = 80
def safe_repr(obj, short=False):
try:
result = repr(obj)
except Exception:
result = object.__repr__(obj)
if not short or len(result) < _MAX_LENGTH:
return result
return result[:_MAX_LENGTH] + ' [truncated]...'
def strclass(cls):
return "%s.%s" % (cls.__module__, cls.__name__)
def sorted_list_difference(expected, actual):
"""Finds elements in only one or the other of two, sorted input lists.
Returns a two-element tuple of lists. The first list contains those
elements in the "expected" list but not in the "actual" list, and the
second contains those elements in the "actual" list but not in the
"expected" list. Duplicate elements in either input list are ignored.
"""
i = j = 0
missing = []
unexpected = []
while True:
try:
e = expected[i]
a = actual[j]
if e < a:
missing.append(e)
i += 1
while expected[i] == e:
i += 1
elif e > a:
unexpected.append(a)
j += 1
while actual[j] == a:
j += 1
else:
i += 1
try:
while expected[i] == e:
i += 1
finally:
j += 1
while actual[j] == a:
j += 1
except IndexError:
missing.extend(expected[i:])
unexpected.extend(actual[j:])
break
return missing, unexpected
def unorderable_list_difference(expected, actual, ignore_duplicate=False):
"""Same behavior as sorted_list_difference but
for lists of unorderable items (like dicts).
As it does a linear search per item (remove) it
has O(n*n) performance.
"""
missing = []
unexpected = []
while expected:
item = expected.pop()
try:
actual.remove(item)
except ValueError:
missing.append(item)
if ignore_duplicate:
for lst in expected, actual:
try:
while True:
lst.remove(item)
except ValueError:
pass
if ignore_duplicate:
while actual:
item = actual.pop()
unexpected.append(item)
try:
while True:
actual.remove(item)
except ValueError:
pass
return missing, unexpected
# anything left in actual is unexpected
return missing, actual
_Mismatch = namedtuple('Mismatch', 'actual expected value')
def _count_diff_all_purpose(actual, expected):
'Returns list of (cnt_act, cnt_exp, elem) triples where the counts differ'
# elements need not be hashable
s, t = list(actual), list(expected)
m, n = len(s), len(t)
NULL = object()
result = []
for i, elem in enumerate(s):
if elem is NULL:
continue
cnt_s = cnt_t = 0
for j in range(i, m):
if s[j] == elem:
cnt_s += 1
s[j] = NULL
for j, other_elem in enumerate(t):
if other_elem == elem:
cnt_t += 1
t[j] = NULL
if cnt_s != cnt_t:
diff = _Mismatch(cnt_s, cnt_t, elem)
result.append(diff)
for i, elem in enumerate(t):
if elem is NULL:
continue
cnt_t = 0
for j in range(i, n):
if t[j] == elem:
cnt_t += 1
t[j] = NULL
diff = _Mismatch(0, cnt_t, elem)
result.append(diff)
return result
def _ordered_count(iterable):
'Return dict of element counts, in the order they were first seen'
c = OrderedDict()
for elem in iterable:
c[elem] = c.get(elem, 0) + 1
return c
def _count_diff_hashable(actual, expected):
'Returns list of (cnt_act, cnt_exp, elem) triples where the counts differ'
# elements must be hashable
s, t = _ordered_count(actual), _ordered_count(expected)
result = []
for elem, cnt_s in s.items():
cnt_t = t.get(elem, 0)
if cnt_s != cnt_t:
diff = _Mismatch(cnt_s, cnt_t, elem)
result.append(diff)
for elem, cnt_t in t.items():
if elem not in s:
diff = _Mismatch(0, cnt_t, elem)
result.append(diff)
return result