Name	Size	Mode	Actions
abc.cpython-38.opt-1.pyc	5349	0644	editdlrm
abc.cpython-38.opt-2.pyc	3227	0644	editdlrm
abc.cpython-38.pyc	5349	0644	editdlrm
aifc.cpython-38.opt-1.pyc	25489	0644	editdlrm
aifc.cpython-38.opt-2.pyc	20282	0644	editdlrm
aifc.cpython-38.pyc	25489	0644	editdlrm
antigravity.cpython-38.opt-1.pyc	812	0644	editdlrm
antigravity.cpython-38.opt-2.pyc	668	0644	editdlrm
antigravity.cpython-38.pyc	812	0644	editdlrm
argparse.cpython-38.opt-1.pyc	62143	0644	editdlrm
argparse.cpython-38.opt-2.pyc	52902	0644	editdlrm
argparse.cpython-38.pyc	62292	0644	editdlrm
ast.cpython-38.opt-1.pyc	16743	0644	editdlrm
ast.cpython-38.opt-2.pyc	10348	0644	editdlrm
ast.cpython-38.pyc	16778	0644	editdlrm
asynchat.cpython-38.opt-1.pyc	6866	0644	editdlrm
asynchat.cpython-38.opt-2.pyc	5491	0644	editdlrm
asynchat.cpython-38.pyc	6866	0644	editdlrm
asyncore.cpython-38.opt-1.pyc	16043	0644	editdlrm
asyncore.cpython-38.opt-2.pyc	14839	0644	editdlrm
asyncore.cpython-38.pyc	16043	0644	editdlrm
base64.cpython-38.opt-1.pyc	16923	0644	editdlrm
base64.cpython-38.opt-2.pyc	11339	0644	editdlrm
base64.cpython-38.pyc	17086	0644	editdlrm
bdb.cpython-38.opt-1.pyc	24936	0644	editdlrm
bdb.cpython-38.opt-2.pyc	15898	0644	editdlrm
bdb.cpython-38.pyc	24936	0644	editdlrm
binhex.cpython-38.opt-1.pyc	12149	0644	editdlrm
binhex.cpython-38.opt-2.pyc	11616	0644	editdlrm
binhex.cpython-38.pyc	12149	0644	editdlrm
bisect.cpython-38.opt-1.pyc	2369	0644	editdlrm
bisect.cpython-38.opt-2.pyc	1057	0644	editdlrm
bisect.cpython-38.pyc	2369	0644	editdlrm
bz2.cpython-38.opt-1.pyc	11460	0644	editdlrm
bz2.cpython-38.opt-2.pyc	6402	0644	editdlrm
bz2.cpython-38.pyc	11460	0644	editdlrm
calendar.cpython-38.opt-1.pyc	27079	0644	editdlrm
calendar.cpython-38.opt-2.pyc	22487	0644	editdlrm
calendar.cpython-38.pyc	27079	0644	editdlrm
cgi.cpython-38.opt-1.pyc	26559	0644	editdlrm
cgi.cpython-38.opt-2.pyc	18133	0644	editdlrm
cgi.cpython-38.pyc	26559	0644	editdlrm
cgitb.cpython-38.opt-1.pyc	10165	0644	editdlrm
cgitb.cpython-38.opt-2.pyc	8566	0644	editdlrm
cgitb.cpython-38.pyc	10165	0644	editdlrm
chunk.cpython-38.opt-1.pyc	4854	0644	editdlrm
chunk.cpython-38.opt-2.pyc	2710	0644	editdlrm
chunk.cpython-38.pyc	4854	0644	editdlrm
cmd.cpython-38.opt-1.pyc	12641	0644	editdlrm
cmd.cpython-38.opt-2.pyc	7216	0644	editdlrm
cmd.cpython-38.pyc	12641	0644	editdlrm
code.cpython-38.opt-1.pyc	9928	0644	editdlrm
code.cpython-38.opt-2.pyc	4657	0644	editdlrm
code.cpython-38.pyc	9928	0644	editdlrm
codecs.cpython-38.opt-1.pyc	33971	0644	editdlrm
codecs.cpython-38.opt-2.pyc	18405	0644	editdlrm
codecs.cpython-38.pyc	33971	0644	editdlrm
codeop.cpython-38.opt-1.pyc	6432	0644	editdlrm
codeop.cpython-38.opt-2.pyc	2372	0644	editdlrm
codeop.cpython-38.pyc	6432	0644	editdlrm
colorsys.cpython-38.opt-1.pyc	3255	0644	editdlrm
colorsys.cpython-38.opt-2.pyc	2649	0644	editdlrm
colorsys.cpython-38.pyc	3255	0644	editdlrm
compileall.cpython-38.opt-1.pyc	9425	0644	editdlrm
compileall.cpython-38.opt-2.pyc	7050	0644	editdlrm
compileall.cpython-38.pyc	9425	0644	editdlrm
configparser.cpython-38.opt-1.pyc	45733	0644	editdlrm
configparser.cpython-38.opt-2.pyc	30807	0644	editdlrm
configparser.cpython-38.pyc	45733	0644	editdlrm
contextlib.cpython-38.opt-1.pyc	20191	0644	editdlrm
contextlib.cpython-38.opt-2.pyc	14611	0644	editdlrm
contextlib.cpython-38.pyc	20244	0644	editdlrm
contextvars.cpython-38.opt-1.pyc	258	0644	editdlrm
contextvars.cpython-38.opt-2.pyc	258	0644	editdlrm
contextvars.cpython-38.pyc	258	0644	editdlrm
copy.cpython-38.opt-1.pyc	7002	0644	editdlrm
copy.cpython-38.opt-2.pyc	4688	0644	editdlrm
copy.cpython-38.pyc	7002	0644	editdlrm
copyreg.cpython-38.opt-1.pyc	4298	0644	editdlrm
copyreg.cpython-38.opt-2.pyc	3496	0644	editdlrm
copyreg.cpython-38.pyc	4333	0644	editdlrm
cProfile.cpython-38.opt-1.pyc	5495	0644	editdlrm
cProfile.cpython-38.opt-2.pyc	5034	0644	editdlrm
cProfile.cpython-38.pyc	5495	0644	editdlrm
crypt.cpython-38.opt-1.pyc	3402	0644	editdlrm
crypt.cpython-38.opt-2.pyc	2740	0644	editdlrm
crypt.cpython-38.pyc	3402	0644	editdlrm
csv.cpython-38.opt-1.pyc	11925	0644	editdlrm
csv.cpython-38.opt-2.pyc	9886	0644	editdlrm
csv.cpython-38.pyc	11925	0644	editdlrm
dataclasses.cpython-38.opt-1.pyc	23668	0644	editdlrm
dataclasses.cpython-38.opt-2.pyc	20228	0644	editdlrm
dataclasses.cpython-38.pyc	23668	0644	editdlrm
datetime.cpython-38.opt-1.pyc	55951	0644	editdlrm
datetime.cpython-38.opt-2.pyc	47511	0644	editdlrm
datetime.cpython-38.pyc	57188	0644	editdlrm
decimal.cpython-38.opt-1.pyc	374	0644	editdlrm
decimal.cpython-38.opt-2.pyc	374	0644	editdlrm
decimal.cpython-38.pyc	374	0644	editdlrm
difflib.cpython-38.opt-1.pyc	59415	0644	editdlrm
difflib.cpython-38.opt-2.pyc	24936	0644	editdlrm
difflib.cpython-38.pyc	59453	0644	editdlrm
dis.cpython-38.opt-1.pyc	15823	0644	editdlrm
dis.cpython-38.opt-2.pyc	12016	0644	editdlrm
dis.cpython-38.pyc	15823	0644	editdlrm
doctest.cpython-38.opt-1.pyc	75746	0644	editdlrm
doctest.cpython-38.opt-2.pyc	40440	0644	editdlrm
doctest.cpython-38.pyc	75989	0644	editdlrm
dummy_threading.cpython-38.opt-1.pyc	1125	0644	editdlrm
dummy_threading.cpython-38.opt-2.pyc	752	0644	editdlrm
dummy_threading.cpython-38.pyc	1125	0644	editdlrm
enum.cpython-38.opt-1.pyc	25977	0644	editdlrm
enum.cpython-38.opt-2.pyc	21055	0644	editdlrm
enum.cpython-38.pyc	25977	0644	editdlrm
filecmp.cpython-38.opt-1.pyc	8442	0644	editdlrm
filecmp.cpython-38.opt-2.pyc	6029	0644	editdlrm
filecmp.cpython-38.pyc	8442	0644	editdlrm
fileinput.cpython-38.opt-1.pyc	13388	0644	editdlrm
fileinput.cpython-38.opt-2.pyc	7780	0644	editdlrm
fileinput.cpython-38.pyc	13388	0644	editdlrm
fnmatch.cpython-38.opt-1.pyc	3370	0644	editdlrm
fnmatch.cpython-38.opt-2.pyc	2162	0644	editdlrm
fnmatch.cpython-38.pyc	3370	0644	editdlrm
formatter.cpython-38.opt-1.pyc	17560	0644	editdlrm
formatter.cpython-38.opt-2.pyc	15120	0644	editdlrm
formatter.cpython-38.pyc	17560	0644	editdlrm
fractions.cpython-38.opt-1.pyc	18754	0644	editdlrm
fractions.cpython-38.opt-2.pyc	11370	0644	editdlrm
fractions.cpython-38.pyc	18754	0644	editdlrm
ftplib.cpython-38.opt-1.pyc	28022	0644	editdlrm
ftplib.cpython-38.opt-2.pyc	18228	0644	editdlrm
ftplib.cpython-38.pyc	28022	0644	editdlrm
functools.cpython-38.opt-1.pyc	27916	0644	editdlrm
functools.cpython-38.opt-2.pyc	21263	0644	editdlrm
functools.cpython-38.pyc	27916	0644	editdlrm
genericpath.cpython-38.opt-1.pyc	4016	0644	editdlrm
genericpath.cpython-38.opt-2.pyc	2880	0644	editdlrm
genericpath.cpython-38.pyc	4016	0644	editdlrm
getopt.cpython-38.opt-1.pyc	6252	0644	editdlrm
getopt.cpython-38.opt-2.pyc	3698	0644	editdlrm
getopt.cpython-38.pyc	6286	0644	editdlrm
getpass.cpython-38.opt-1.pyc	4193	0644	editdlrm
getpass.cpython-38.opt-2.pyc	3008	0644	editdlrm
getpass.cpython-38.pyc	4193	0644	editdlrm
gettext.cpython-38.opt-1.pyc	17898	0644	editdlrm
gettext.cpython-38.opt-2.pyc	17207	0644	editdlrm
gettext.cpython-38.pyc	17898	0644	editdlrm
glob.cpython-38.opt-1.pyc	4293	0644	editdlrm
glob.cpython-38.opt-2.pyc	3433	0644	editdlrm
glob.cpython-38.pyc	4358	0644	editdlrm
gzip.cpython-38.opt-1.pyc	18199	0644	editdlrm
gzip.cpython-38.opt-2.pyc	14331	0644	editdlrm
gzip.cpython-38.pyc	18199	0644	editdlrm
hashlib.cpython-38.opt-1.pyc	6742	0644	editdlrm
hashlib.cpython-38.opt-2.pyc	6174	0644	editdlrm
hashlib.cpython-38.pyc	6742	0644	editdlrm
heapq.cpython-38.opt-1.pyc	14085	0644	editdlrm
heapq.cpython-38.opt-2.pyc	11069	0644	editdlrm
heapq.cpython-38.pyc	14085	0644	editdlrm
hmac.cpython-38.opt-1.pyc	6403	0644	editdlrm
hmac.cpython-38.opt-2.pyc	3886	0644	editdlrm
hmac.cpython-38.pyc	6403	0644	editdlrm
imaplib.cpython-38.opt-1.pyc	39174	0644	editdlrm
imaplib.cpython-38.opt-2.pyc	27197	0644	editdlrm
imaplib.cpython-38.pyc	41357	0644	editdlrm
imghdr.cpython-38.opt-1.pyc	4133	0644	editdlrm
imghdr.cpython-38.opt-2.pyc	3818	0644	editdlrm
imghdr.cpython-38.pyc	4133	0644	editdlrm
imp.cpython-38.opt-1.pyc	9824	0644	editdlrm
imp.cpython-38.opt-2.pyc	7459	0644	editdlrm
imp.cpython-38.pyc	9824	0644	editdlrm
inspect.cpython-38.opt-1.pyc	80323	0644	editdlrm
inspect.cpython-38.opt-2.pyc	55210	0644	editdlrm
inspect.cpython-38.pyc	80608	0644	editdlrm
io.cpython-38.opt-1.pyc	3469	0644	editdlrm
io.cpython-38.opt-2.pyc	1980	0644	editdlrm
io.cpython-38.pyc	3469	0644	editdlrm
ipaddress.cpython-38.opt-1.pyc	59992	0644	editdlrm
ipaddress.cpython-38.opt-2.pyc	36152	0644	editdlrm
ipaddress.cpython-38.pyc	59992	0644	editdlrm
keyword.cpython-38.opt-1.pyc	1013	0644	editdlrm
keyword.cpython-38.opt-2.pyc	586	0644	editdlrm
keyword.cpython-38.pyc	1013	0644	editdlrm
linecache.cpython-38.opt-1.pyc	3882	0644	editdlrm
linecache.cpython-38.opt-2.pyc	2777	0644	editdlrm
linecache.cpython-38.pyc	3882	0644	editdlrm
locale.cpython-38.opt-1.pyc	34704	0644	editdlrm
locale.cpython-38.opt-2.pyc	30089	0644	editdlrm
locale.cpython-38.pyc	34704	0644	editdlrm
lzma.cpython-38.opt-1.pyc	12033	0644	editdlrm
lzma.cpython-38.opt-2.pyc	5864	0644	editdlrm
lzma.cpython-38.pyc	12033	0644	editdlrm
mailbox.cpython-38.opt-1.pyc	60199	0644	editdlrm
mailbox.cpython-38.opt-2.pyc	53597	0644	editdlrm
mailbox.cpython-38.pyc	60279	0644	editdlrm
mailcap.cpython-38.opt-1.pyc	6491	0644	editdlrm
mailcap.cpython-38.opt-2.pyc	4975	0644	editdlrm
mailcap.cpython-38.pyc	6491	0644	editdlrm
mimetypes.cpython-38.opt-1.pyc	16046	0644	editdlrm
mimetypes.cpython-38.opt-2.pyc	10031	0644	editdlrm
mimetypes.cpython-38.pyc	16046	0644	editdlrm
modulefinder.cpython-38.opt-1.pyc	16068	0644	editdlrm
modulefinder.cpython-38.opt-2.pyc	15159	0644	editdlrm
modulefinder.cpython-38.pyc	16130	0644	editdlrm
netrc.cpython-38.opt-1.pyc	3792	0644	editdlrm
netrc.cpython-38.opt-2.pyc	3554	0644	editdlrm
netrc.cpython-38.pyc	3792	0644	editdlrm
nntplib.cpython-38.opt-1.pyc	33989	0644	editdlrm
nntplib.cpython-38.opt-2.pyc	21479	0644	editdlrm
nntplib.cpython-38.pyc	33989	0644	editdlrm
ntpath.cpython-38.opt-1.pyc	14672	0644	editdlrm
ntpath.cpython-38.opt-2.pyc	12621	0644	editdlrm
ntpath.cpython-38.pyc	14672	0644	editdlrm
nturl2path.cpython-38.opt-1.pyc	1759	0644	editdlrm
nturl2path.cpython-38.opt-2.pyc	1340	0644	editdlrm
nturl2path.cpython-38.pyc	1759	0644	editdlrm
numbers.cpython-38.opt-1.pyc	12217	0644	editdlrm
numbers.cpython-38.opt-2.pyc	8354	0644	editdlrm
numbers.cpython-38.pyc	12217	0644	editdlrm
opcode.cpython-38.opt-1.pyc	5435	0644	editdlrm
opcode.cpython-38.opt-2.pyc	5295	0644	editdlrm
opcode.cpython-38.pyc	5435	0644	editdlrm
operator.cpython-38.opt-1.pyc	13706	0644	editdlrm
operator.cpython-38.opt-2.pyc	11337	0644	editdlrm
operator.cpython-38.pyc	13706	0644	editdlrm
optparse.cpython-38.opt-1.pyc	47989	0644	editdlrm
optparse.cpython-38.opt-2.pyc	35674	0644	editdlrm
optparse.cpython-38.pyc	48072	0644	editdlrm
os.cpython-38.opt-1.pyc	31380	0644	editdlrm
os.cpython-38.opt-2.pyc	19189	0644	editdlrm
os.cpython-38.pyc	31412	0644	editdlrm
pathlib.cpython-38.opt-1.pyc	44224	0644	editdlrm
pathlib.cpython-38.opt-2.pyc	35544	0644	editdlrm
pathlib.cpython-38.pyc	44224	0644	editdlrm
pdb.cpython-38.opt-1.pyc	47186	0644	editdlrm
pdb.cpython-38.opt-2.pyc	33115	0644	editdlrm
pdb.cpython-38.pyc	47241	0644	editdlrm
pickle.cpython-38.opt-1.pyc	46806	0644	editdlrm
pickle.cpython-38.opt-2.pyc	40934	0644	editdlrm
pickle.cpython-38.pyc	46923	0644	editdlrm
pickletools.cpython-38.opt-1.pyc	66329	0644	editdlrm
pickletools.cpython-38.opt-2.pyc	57236	0644	editdlrm
pickletools.cpython-38.pyc	67219	0644	editdlrm
pipes.cpython-38.opt-1.pyc	7810	0644	editdlrm
pipes.cpython-38.opt-2.pyc	4943	0644	editdlrm
pipes.cpython-38.pyc	7810	0644	editdlrm
pkgutil.cpython-38.opt-1.pyc	16351	0644	editdlrm
pkgutil.cpython-38.opt-2.pyc	11095	0644	editdlrm
pkgutil.cpython-38.pyc	16351	0644	editdlrm
platform.cpython-38.opt-1.pyc	24341	0644	editdlrm
platform.cpython-38.opt-2.pyc	16465	0644	editdlrm
platform.cpython-38.pyc	24341	0644	editdlrm
plistlib.cpython-38.opt-1.pyc	27113	0644	editdlrm
plistlib.cpython-38.opt-2.pyc	24064	0644	editdlrm
plistlib.cpython-38.pyc	27180	0644	editdlrm
poplib.cpython-38.opt-1.pyc	13474	0644	editdlrm
poplib.cpython-38.opt-2.pyc	8543	0644	editdlrm
poplib.cpython-38.pyc	13474	0644	editdlrm
posixpath.cpython-38.opt-1.pyc	10443	0644	editdlrm
posixpath.cpython-38.opt-2.pyc	8728	0644	editdlrm
posixpath.cpython-38.pyc	10443	0644	editdlrm
pprint.cpython-38.opt-1.pyc	16247	0644	editdlrm
pprint.cpython-38.opt-2.pyc	14092	0644	editdlrm
pprint.cpython-38.pyc	16296	0644	editdlrm
profile.cpython-38.opt-1.pyc	14560	0644	editdlrm
profile.cpython-38.opt-2.pyc	11582	0644	editdlrm
profile.cpython-38.pyc	14773	0644	editdlrm
pstats.cpython-38.opt-1.pyc	22081	0644	editdlrm
pstats.cpython-38.opt-2.pyc	19557	0644	editdlrm
pstats.cpython-38.pyc	22081	0644	editdlrm
pty.cpython-38.opt-1.pyc	3970	0644	editdlrm
pty.cpython-38.opt-2.pyc	3125	0644	editdlrm
pty.cpython-38.pyc	3970	0644	editdlrm
pyclbr.cpython-38.opt-1.pyc	10466	0644	editdlrm
pyclbr.cpython-38.opt-2.pyc	6865	0644	editdlrm
pyclbr.cpython-38.pyc	10466	0644	editdlrm
pydoc.cpython-38.opt-1.pyc	83447	0644	editdlrm
pydoc.cpython-38.opt-2.pyc	73902	0644	editdlrm
pydoc.cpython-38.pyc	83500	0644	editdlrm
py_compile.cpython-38.opt-1.pyc	7399	0644	editdlrm
py_compile.cpython-38.opt-2.pyc	3661	0644	editdlrm
py_compile.cpython-38.pyc	7399	0644	editdlrm
queue.cpython-38.opt-1.pyc	10641	0644	editdlrm
queue.cpython-38.opt-2.pyc	6304	0644	editdlrm
queue.cpython-38.pyc	10641	0644	editdlrm
quopri.cpython-38.opt-1.pyc	5588	0644	editdlrm
quopri.cpython-38.opt-2.pyc	4552	0644	editdlrm
quopri.cpython-38.pyc	5763	0644	editdlrm
random.cpython-38.opt-1.pyc	20123	0644	editdlrm
random.cpython-38.opt-2.pyc	13147	0644	editdlrm
random.cpython-38.pyc	20123	0644	editdlrm
re.cpython-38.opt-1.pyc	14437	0644	editdlrm
re.cpython-38.opt-2.pyc	6099	0644	editdlrm
re.cpython-38.pyc	14437	0644	editdlrm
reprlib.cpython-38.opt-1.pyc	5318	0644	editdlrm
reprlib.cpython-38.opt-2.pyc	5162	0644	editdlrm
reprlib.cpython-38.pyc	5318	0644	editdlrm
rlcompleter.cpython-38.opt-1.pyc	5770	0644	editdlrm
rlcompleter.cpython-38.opt-2.pyc	3107	0644	editdlrm
rlcompleter.cpython-38.pyc	5770	0644	editdlrm
runpy.cpython-38.opt-1.pyc	8196	0644	editdlrm
runpy.cpython-38.opt-2.pyc	6630	0644	editdlrm
runpy.cpython-38.pyc	8196	0644	editdlrm
sched.cpython-38.opt-1.pyc	6547	0644	editdlrm
sched.cpython-38.opt-2.pyc	3520	0644	editdlrm
sched.cpython-38.pyc	6547	0644	editdlrm
secrets.cpython-38.opt-1.pyc	2205	0644	editdlrm
secrets.cpython-38.opt-2.pyc	1147	0644	editdlrm
secrets.cpython-38.pyc	2205	0644	editdlrm
selectors.cpython-38.opt-1.pyc	16950	0644	editdlrm
selectors.cpython-38.opt-2.pyc	12915	0644	editdlrm
selectors.cpython-38.pyc	16950	0644	editdlrm
shelve.cpython-38.opt-1.pyc	9505	0644	editdlrm
shelve.cpython-38.opt-2.pyc	5354	0644	editdlrm
shelve.cpython-38.pyc	9505	0644	editdlrm
shlex.cpython-38.opt-1.pyc	7551	0644	editdlrm
shlex.cpython-38.opt-2.pyc	6994	0644	editdlrm
shlex.cpython-38.pyc	7551	0644	editdlrm
shutil.cpython-38.opt-1.pyc	37234	0644	editdlrm
shutil.cpython-38.opt-2.pyc	25779	0644	editdlrm
shutil.cpython-38.pyc	37234	0644	editdlrm
signal.cpython-38.opt-1.pyc	2858	0644	editdlrm
signal.cpython-38.opt-2.pyc	2634	0644	editdlrm
signal.cpython-38.pyc	2858	0644	editdlrm
site.cpython-38.opt-1.pyc	16771	0644	editdlrm
site.cpython-38.opt-2.pyc	11235	0644	editdlrm
site.cpython-38.pyc	16771	0644	editdlrm
smtpd.cpython-38.opt-1.pyc	26478	0644	editdlrm
smtpd.cpython-38.opt-2.pyc	23858	0644	editdlrm
smtpd.cpython-38.pyc	26478	0644	editdlrm
smtplib.cpython-38.opt-1.pyc	35625	0644	editdlrm
smtplib.cpython-38.opt-2.pyc	19263	0644	editdlrm
smtplib.cpython-38.pyc	35686	0644	editdlrm
sndhdr.cpython-38.opt-1.pyc	7004	0644	editdlrm
sndhdr.cpython-38.opt-2.pyc	5729	0644	editdlrm
sndhdr.cpython-38.pyc	7004	0644	editdlrm
socket.cpython-38.opt-1.pyc	27762	0644	editdlrm
socket.cpython-38.opt-2.pyc	19439	0644	editdlrm
socket.cpython-38.pyc	27802	0644	editdlrm
socketserver.cpython-38.opt-1.pyc	25376	0644	editdlrm
socketserver.cpython-38.opt-2.pyc	14660	0644	editdlrm
socketserver.cpython-38.pyc	25376	0644	editdlrm
sre_compile.cpython-38.opt-1.pyc	14931	0644	editdlrm
sre_compile.cpython-38.opt-2.pyc	14517	0644	editdlrm
sre_compile.cpython-38.pyc	15157	0644	editdlrm
sre_constants.cpython-38.opt-1.pyc	6374	0644	editdlrm
sre_constants.cpython-38.opt-2.pyc	5949	0644	editdlrm
sre_constants.cpython-38.pyc	6374	0644	editdlrm
sre_parse.cpython-38.opt-1.pyc	21615	0644	editdlrm
sre_parse.cpython-38.opt-2.pyc	21567	0644	editdlrm
sre_parse.cpython-38.pyc	21662	0644	editdlrm
ssl.cpython-38.opt-1.pyc	44611	0644	editdlrm
ssl.cpython-38.opt-2.pyc	33633	0644	editdlrm
ssl.cpython-38.pyc	44611	0644	editdlrm
stat.cpython-38.opt-1.pyc	4387	0644	editdlrm
stat.cpython-38.opt-2.pyc	3604	0644	editdlrm
stat.cpython-38.pyc	4387	0644	editdlrm
statistics.cpython-38.opt-1.pyc	33270	0644	editdlrm
statistics.cpython-38.opt-2.pyc	17583	0644	editdlrm
statistics.cpython-38.pyc	33668	0644	editdlrm
string.cpython-38.opt-1.pyc	7315	0644	editdlrm
string.cpython-38.opt-2.pyc	6209	0644	editdlrm
string.cpython-38.pyc	7315	0644	editdlrm
stringprep.cpython-38.opt-1.pyc	10974	0644	editdlrm
stringprep.cpython-38.opt-2.pyc	10754	0644	editdlrm
stringprep.cpython-38.pyc	11032	0644	editdlrm
struct.cpython-38.opt-1.pyc	345	0644	editdlrm
struct.cpython-38.opt-2.pyc	345	0644	editdlrm
struct.cpython-38.pyc	345	0644	editdlrm
subprocess.cpython-38.opt-1.pyc	41885	0644	editdlrm
subprocess.cpython-38.opt-2.pyc	29955	0644	editdlrm
subprocess.cpython-38.pyc	41982	0644	editdlrm
sunau.cpython-38.opt-1.pyc	17095	0644	editdlrm
sunau.cpython-38.opt-2.pyc	12505	0644	editdlrm
sunau.cpython-38.pyc	17095	0644	editdlrm
symbol.cpython-38.opt-1.pyc	2419	0644	editdlrm
symbol.cpython-38.opt-2.pyc	2343	0644	editdlrm
symbol.cpython-38.pyc	2419	0644	editdlrm
symtable.cpython-38.opt-1.pyc	11243	0644	editdlrm
symtable.cpython-38.opt-2.pyc	10458	0644	editdlrm
symtable.cpython-38.pyc	11337	0644	editdlrm
sysconfig.cpython-38.opt-1.pyc	15862	0644	editdlrm
sysconfig.cpython-38.opt-2.pyc	13484	0644	editdlrm
sysconfig.cpython-38.pyc	15862	0644	editdlrm
tabnanny.cpython-38.opt-1.pyc	7045	0644	editdlrm
tabnanny.cpython-38.opt-2.pyc	6112	0644	editdlrm
tabnanny.cpython-38.pyc	7045	0644	editdlrm
tarfile.cpython-38.opt-1.pyc	62645	0644	editdlrm
tarfile.cpython-38.opt-2.pyc	48755	0644	editdlrm
tarfile.cpython-38.pyc	62676	0644	editdlrm
telnetlib.cpython-38.opt-1.pyc	18252	0644	editdlrm
telnetlib.cpython-38.opt-2.pyc	10750	0644	editdlrm
telnetlib.cpython-38.pyc	18252	0644	editdlrm
tempfile.cpython-38.opt-1.pyc	23412	0644	editdlrm
tempfile.cpython-38.opt-2.pyc	16886	0644	editdlrm
tempfile.cpython-38.pyc	23412	0644	editdlrm
textwrap.cpython-38.opt-1.pyc	13460	0644	editdlrm
textwrap.cpython-38.opt-2.pyc	6251	0644	editdlrm
textwrap.cpython-38.pyc	13534	0644	editdlrm
this.cpython-38.opt-1.pyc	1276	0644	editdlrm
this.cpython-38.opt-2.pyc	1276	0644	editdlrm
this.cpython-38.pyc	1276	0644	editdlrm
threading.cpython-38.opt-1.pyc	39440	0644	editdlrm
threading.cpython-38.opt-2.pyc	22863	0644	editdlrm
threading.cpython-38.pyc	39991	0644	editdlrm
timeit.cpython-38.opt-1.pyc	11792	0644	editdlrm
timeit.cpython-38.opt-2.pyc	5938	0644	editdlrm
timeit.cpython-38.pyc	11792	0644	editdlrm
token.cpython-38.opt-1.pyc	2500	0644	editdlrm
token.cpython-38.opt-2.pyc	2467	0644	editdlrm
token.cpython-38.pyc	2500	0644	editdlrm
tokenize.cpython-38.opt-1.pyc	17131	0644	editdlrm
tokenize.cpython-38.opt-2.pyc	13367	0644	editdlrm
tokenize.cpython-38.pyc	17175	0644	editdlrm
trace.cpython-38.opt-1.pyc	20041	0644	editdlrm
trace.cpython-38.opt-2.pyc	17027	0644	editdlrm
trace.cpython-38.pyc	20041	0644	editdlrm
traceback.cpython-38.opt-1.pyc	19953	0644	editdlrm
traceback.cpython-38.opt-2.pyc	11050	0644	editdlrm
traceback.cpython-38.pyc	19953	0644	editdlrm
tracemalloc.cpython-38.opt-1.pyc	17378	0644	editdlrm
tracemalloc.cpython-38.opt-2.pyc	15965	0644	editdlrm
tracemalloc.cpython-38.pyc	17378	0644	editdlrm
tty.cpython-38.opt-1.pyc	1091	0644	editdlrm
tty.cpython-38.opt-2.pyc	982	0644	editdlrm
tty.cpython-38.pyc	1091	0644	editdlrm
types.cpython-38.opt-1.pyc	9192	0644	editdlrm
types.cpython-38.opt-2.pyc	7970	0644	editdlrm
types.cpython-38.pyc	9192	0644	editdlrm
typing.cpython-38.opt-1.pyc	62386	0644	editdlrm
typing.cpython-38.opt-2.pyc	45638	0644	editdlrm
typing.cpython-38.pyc	62435	0644	editdlrm
uu.cpython-38.opt-1.pyc	3620	0644	editdlrm
uu.cpython-38.opt-2.pyc	3376	0644	editdlrm
uu.cpython-38.pyc	3620	0644	editdlrm
uuid.cpython-38.opt-1.pyc	23564	0644	editdlrm
uuid.cpython-38.opt-2.pyc	16408	0644	editdlrm
uuid.cpython-38.pyc	23698	0644	editdlrm
warnings.cpython-38.opt-1.pyc	13207	0644	editdlrm
warnings.cpython-38.opt-2.pyc	10932	0644	editdlrm
warnings.cpython-38.pyc	13667	0644	editdlrm
wave.cpython-38.opt-1.pyc	18114	0644	editdlrm
wave.cpython-38.opt-2.pyc	12122	0644	editdlrm
wave.cpython-38.pyc	18164	0644	editdlrm
weakref.cpython-38.opt-1.pyc	19503	0644	editdlrm
weakref.cpython-38.opt-2.pyc	16219	0644	editdlrm
weakref.cpython-38.pyc	19533	0644	editdlrm
webbrowser.cpython-38.opt-1.pyc	17102	0644	editdlrm
webbrowser.cpython-38.opt-2.pyc	14692	0644	editdlrm
webbrowser.cpython-38.pyc	17135	0644	editdlrm
xdrlib.cpython-38.opt-1.pyc	8236	0644	editdlrm
xdrlib.cpython-38.opt-2.pyc	7751	0644	editdlrm
xdrlib.cpython-38.pyc	8236	0644	editdlrm
zipapp.cpython-38.opt-1.pyc	5869	0644	editdlrm
zipapp.cpython-38.opt-2.pyc	4693	0644	editdlrm
zipapp.cpython-38.pyc	5869	0644	editdlrm
zipfile.cpython-38.opt-1.pyc	58492	0644	editdlrm
zipfile.cpython-38.opt-2.pyc	49803	0644	editdlrm
zipfile.cpython-38.pyc	58529	0644	editdlrm
zipimport.cpython-38.opt-1.pyc	17186	0644	editdlrm
zipimport.cpython-38.opt-2.pyc	13668	0644	editdlrm
zipimport.cpython-38.pyc	17290	0644	editdlrm
_bootlocale.cpython-38.opt-1.pyc	1232	0644	editdlrm
_bootlocale.cpython-38.opt-2.pyc	1007	0644	editdlrm
_bootlocale.cpython-38.pyc	1258	0644	editdlrm
_collections_abc.cpython-38.opt-1.pyc	28756	0644	editdlrm
_collections_abc.cpython-38.opt-2.pyc	23697	0644	editdlrm
_collections_abc.cpython-38.pyc	28756	0644	editdlrm
_compat_pickle.cpython-38.opt-1.pyc	5458	0644	editdlrm
_compat_pickle.cpython-38.opt-2.pyc	5458	0644	editdlrm
_compat_pickle.cpython-38.pyc	5516	0644	editdlrm
_compression.cpython-38.opt-1.pyc	4161	0644	editdlrm
_compression.cpython-38.opt-2.pyc	3947	0644	editdlrm
_compression.cpython-38.pyc	4161	0644	editdlrm
_dummy_thread.cpython-38.opt-1.pyc	6052	0644	editdlrm
_dummy_thread.cpython-38.opt-2.pyc	3407	0644	editdlrm
_dummy_thread.cpython-38.pyc	6052	0644	editdlrm
_markupbase.cpython-38.opt-1.pyc	7633	0644	editdlrm
_markupbase.cpython-38.opt-2.pyc	7255	0644	editdlrm
_markupbase.cpython-38.pyc	7805	0644	editdlrm
_osx_support.cpython-38.opt-1.pyc	11608	0644	editdlrm
_osx_support.cpython-38.opt-2.pyc	8917	0644	editdlrm
_osx_support.cpython-38.pyc	11608	0644	editdlrm
_pydecimal.cpython-38.opt-1.pyc	160750	0644	editdlrm
_pydecimal.cpython-38.opt-2.pyc	79133	0644	editdlrm
_pydecimal.cpython-38.pyc	160750	0644	editdlrm
_pyio.cpython-38.opt-1.pyc	74074	0644	editdlrm
_pyio.cpython-38.opt-2.pyc	51181	0644	editdlrm
_pyio.cpython-38.pyc	74094	0644	editdlrm
_py_abc.cpython-38.opt-1.pyc	4647	0644	editdlrm
_py_abc.cpython-38.opt-2.pyc	3434	0644	editdlrm
_py_abc.cpython-38.pyc	4685	0644	editdlrm
_sitebuiltins.cpython-38.opt-1.pyc	3496	0644	editdlrm
_sitebuiltins.cpython-38.opt-2.pyc	2972	0644	editdlrm
_sitebuiltins.cpython-38.pyc	3496	0644	editdlrm
_strptime.cpython-38.opt-1.pyc	16059	0644	editdlrm
_strptime.cpython-38.opt-2.pyc	12331	0644	editdlrm
_strptime.cpython-38.pyc	16059	0644	editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-38.opt-1.pyc	28399	0644	editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-38.opt-2.pyc	28399	0644	editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-38.pyc	28399	0644	editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-38.opt-1.pyc	28535	0644	editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-38.opt-2.pyc	28535	0644	editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-38.pyc	28535	0644	editdlrm
_threading_local.cpython-38.opt-1.pyc	6461	0644	editdlrm
_threading_local.cpython-38.opt-2.pyc	3141	0644	editdlrm
_threading_local.cpython-38.pyc	6461	0644	editdlrm
_weakrefset.cpython-38.opt-1.pyc	7615	0644	editdlrm
_weakrefset.cpython-38.opt-2.pyc	7615	0644	editdlrm
_weakrefset.cpython-38.pyc	7615	0644	editdlrm
__future__.cpython-38.opt-1.pyc	4173	0644	editdlrm
__future__.cpython-38.opt-2.pyc	2201	0644	editdlrm
__future__.cpython-38.pyc	4173	0644	editdlrm
__phello__.foo.cpython-38.opt-1.pyc	142	0644	editdlrm
__phello__.foo.cpython-38.opt-2.pyc	142	0644	editdlrm
__phello__.foo.cpython-38.pyc	142	0644	editdlrm

U ��,a ��@sndZd
dddddddd d ddd ddddgZ
ddlZddlZddlZddlmZ
ddlmZ
ddl m Z
ddlmZm Z
ddlmZmZmZmZmZmZmZmZ
ddlmZ
ddlmZ
Gdd�de�Zdddd�
Zdd�Zd d!�Zd"d#�Zd$d%�Z d&d'�Z!d(d)�Z"ded+d,�
Z#d-d�Z$d.d�Z%d/d�Z&d0d�Z'd1d�Z(d2d �Z)d3d �Z*dfd5d�
Z+d6d�Z,d7d�Z-d8d9d:�d;d�Z.dgdd�
Z0did?d�
Z1djd@d�
Z2dkdAd �
Z3dBdC�Z4GdDd
�d
�Z5zddEl6m4Z4
Wne7k �
r�


YnXe8dFk�rjddGlm9Z9
ddHlm:Z:m;Z;mZ>
ddl?Z?e5dJdK�Z@e5dLdM�ZAdNZBe@�CeB�
ZDeA�CeB�
ZEe:e;fD]eJ�
��
�

�q�dSZJe:e;eeJ�
eD��
�

�q�dVdW�ZKe5dXdY�ZLe5dZd[�ZMd\ZNdNZBe5�Hd]d^�eL�CeB�
D�
�
ZOeKeLeNeO�
e5�Hd_d^�eL�CeB�
D�
�
ZOeKeLeNeO�
e5�Hd`d^�eL�CeB�
D�
�
ZOeKeLeNeO�
e5�Hdad^�eL�CeB�
D�
�
ZOeKeLeNeO�
e5�Hdbd^�ePeL�CeB�
eM�CeB�
�D�
�
ZOeKeLeMeO�
e5�Hdcd^�ePeL�CeB�
eM�CeB�
�D�
�
ZOeKeLeMeO�
eGe?�Q��

dS)lam Basic statistics module. This module provides functions for calculating statistics of data, including averages, variance, and standard deviation. Calculating averages -------------------- ================== ================================================== Function Description ================== ================================================== mean Arithmetic mean (average) of data. fmean Fast, floating point arithmetic mean. geometric_mean Geometric mean of data. harmonic_mean Harmonic mean of data. median Median (middle value) of data. median_low Low median of data. median_high High median of data. median_grouped Median, or 50th percentile, of grouped data. mode Mode (most common value) of data. multimode List of modes (most common values of data). quantiles Divide data into intervals with equal probability. ================== ================================================== Calculate the arithmetic mean ("the average") of data: >>> mean([-1.0, 2.5, 3.25, 5.75]) 2.625 Calculate the standard median of discrete data: >>> median([2, 3, 4, 5]) 3.5 Calculate the median, or 50th percentile, of data grouped into class intervals centred on the data values provided. E.g. if your data points are rounded to the nearest whole number: >>> median_grouped([2, 2, 3, 3, 3, 4]) #doctest: +ELLIPSIS 2.8333333333... This should be interpreted in this way: you have two data points in the class interval 1.5-2.5, three data points in the class interval 2.5-3.5, and one in the class interval 3.5-4.5. The median of these data points is 2.8333... Calculating variability or spread --------------------------------- ================== ============================================= Function Description ================== ============================================= pvariance Population variance of data. variance Sample variance of data. pstdev Population standard deviation of data. stdev Sample standard deviation of data. ================== ============================================= Calculate the standard deviation of sample data: >>> stdev([2.5, 3.25, 5.5, 11.25, 11.75]) #doctest: +ELLIPSIS 4.38961843444... If you have previously calculated the mean, you can pass it as the optional second argument to the four "spread" functions to avoid recalculating it: >>> data = [1, 2, 2, 4, 4, 4, 5, 6] >>> mu = mean(data) >>> pvariance(data, mu) 2.5 Exceptions ---------- A single exception is defined: StatisticsError is a subclass of ValueError. � NormalDist�StatisticsError�fmean�geometric_mean� harmonic_mean�mean�median�median_grouped�median_high� median_low�mode� multimode�pstdev� pvariance� quantiles�stdev�variance�N�
�Fraction)
�Decimal)
�groupby)�bisect_left�bisect_right)�hypot�sqrt�fabs�exp�erf�tau�log�fsum)
� itemgetter)
�Counterc
@seZ
dZd
S)rN)�__name__� __module__�__qualname__�r&r&�//opt/alt/python38/lib64/python3.8/statistics.pyrus
cCs�d
}t|
�
\}}||i
}|j
}ttt|
�
�}t|t�D]@\}} t||�}tt| �D]"\}}|d7}||d
�|||<qRq6d|kr�|d} ntdd�t|� ��
D�
�
} || |fS)aC_sum(data [, start]) -> (type, sum, count) Return a high-precision sum of the given numeric data as a fraction, together with the type to be converted to and the count of items. If optional argument ``start`` is given, it is added to the total. If ``data`` is empty, ``start`` (defaulting to 0) is returned. Examples -------- >>> _sum([3, 2.25, 4.5, -0.5, 1.0], 0.75) (, Fraction(11, 1), 5) Some sources of round-off error will be avoided: # Built-in sum returns zero. >>> _sum([1e50, 1, -1e50] * 1000) (, Fraction(1000, 1), 3000) Fractions and Decimals are also supported: >>> from fractions import Fraction as F >>> _sum([F(2, 3), F(7, 5), F(1, 4), F(5, 6)]) (, Fraction(63, 20), 4) >>> from decimal import Decimal as D >>> data = [D("0.1375"), D("0.2108"), D("0.3061"), D("0.0419")] >>> _sum(data) (, Fraction(6963, 10000), 4) Mixed types are currently treated as an error, except that int is allowed. r�
Nc
ss|]\}
}t||
�V
qdS�
Nr)�.0�
d�
nr&r&r'� �sz_sum..) �_exact_ratio�get�_coerce�int�typer�map�sum�sorted�items)�data�start�countr,r+ZpartialsZpartials_get�
T�typ�values�totalr&r&r'�_sum{s$











r>c

Cs.z |��WSt
k r(


t�|�
YSXdSr))Z is_finite�AttributeError�mathZisfinite)
�
xr&r&r'� _isfinite�s



rBcCs�||
kr|S|
tks|
t
kr |S|tkr,|
St|
|�r:|
St||
�rH|St|t�rV|
St|
t�rd|St|t�r|t|
t�r||
St|t�r�t|
t�r�|Sd
}t||j|
jf�
�
dS)z�Coerce types T and S to a common type, or raise TypeError. Coercion rules are currently an implementation detail. See the CoerceTest test class in test_statistics for details. z"don't know how to coerce %s and %sN)r1�bool� issubclassr�float� TypeErrorr#)r:�
S�msgr&r&r'r0�s(
 
 




r0c
Cs�zrt|�
t
kst|�
tkr$|��WSz|j|jfWWStk rn


z|��WYWStk rh


YnXYnXWn ttfk r�


|d
fYSXd}
t |
� t|�
j�
�
�
d
S)z�Return Real number x to exact (numerator, denominator) pair. >>> _exact_ratio(0.25) (1, 4) x is expected to be an int, Fraction, Decimal or float. Nz0can't convert type '{}' to numerator/denominator)r2rEr�as_integer_ratio� numerator�denominatorr?� OverflowError� ValueErrorrF�formatr#)rArHr&r&r'r.�s







r.cCspt|�
|
kr|St
|
t�r(|jd
kr(t}
z |
|�
WStk rj


t
|
t�rd|
|j�
|
|j�
YS�YnXdS)z&Convert value to given numeric type T.r(N)r2rDr1rKrErFrrJ)�valuer:r&r&r'�_convert�s





rPcCs.t||
�}|t
|�
kr&|||
kr&|St�
d
S)z,Locate the leftmost value exactly equal to xN)r�lenrM)�
arA�
ir&r&r'� _find_lteq
s


rTcCs>t|||
d
�}|t
|�
dkr6||d|kr6|dSt�
dS)z-Locate the rightmost value exactly equal to x)
�lor(N)rrQrM)rR�
lrArSr&r&r'� _find_rteq
s


rW�negative valueccs$|D]}|d
krt|
�
�
|V
qdS)z7Iterate over values, failing if any are less than zero.rN)
r)r<�errmsgrAr&r&r'� _fail_neg
s


rZc
CsHt|�
|krt
|�
}t|�
}
|
d
kr,td�
�
t|�
\}}}t||
|�S)a�
Return the sample arithmetic mean of data. >>> mean([1, 2, 3, 4, 4]) 2.8 >>> from fractions import Fraction as F >>> mean([F(3, 7), F(1, 21), F(5, 3), F(1, 3)]) Fraction(13, 21) >>> from decimal import Decimal as D >>> mean([D("0.5"), D("0.75"), D("0.625"), D("0.375")]) Decimal('0.5625') If ``data`` is empty, StatisticsError will be raised. r(z%mean requires at least one data point)�iter�listrQrr>rP)r7r,r:r=r9r&r&r'r'
s




c
stzt|�
�Wn0t
k r<


d
��f
dd�}
t|
|�
�
}Yn Xt|�
}z |�WStk rn


td�
d�YnXdS)z�Convert data to floats and compute the arithmetic mean. This runs faster than the mean() function and it always returns a float. If the input dataset is empty, it raises a StatisticsError. >>> fmean([3.5, 4.0, 5.25]) 4.25 rc
3s t|d
d�D]\�}
|
V
qdS)Nr()
r8)
� enumerate)�iterablerA�
r,r&r'r9O
s
zfmean..countz&fmean requires at least one data pointN)rQrFr �ZeroDivisionErrorr)r7r9r=r&r_r'rA
s 






c

Cs8ztt
tt|��
�
WStk r2


td
�
d�YnXdS)aY
Convert data to floats and compute the geometric mean. Raises a StatisticsError if the input dataset is empty, if it contains a zero, or if it contains a negative value. No special efforts are made to achieve exact results. (However, this may change in the future.) >>> round(geometric_mean([54, 24, 36]), 9) 36.0 zHgeometric mean requires a non-empty dataset containing positive numbersN)rrr3rrMr)
r7r&r&r'r\
s



�c
Cs�t|�
|krt
|�
}d
}
t|�
}|dkr2td�
�
n<|dkrn|d}t|tjtf�rf|dkrbt|
�
�
|Std�
�
z"t dd�t ||
�D�
�
\}}}Wntk r�


YdSXt|||�S)aReturn the harmonic mean of data. The harmonic mean, sometimes called the subcontrary mean, is the reciprocal of the arithmetic mean of the reciprocals of the data, and is often appropriate when averaging quantities which are rates or ratios, for example speeds. Example: Suppose an investor purchases an equal value of shares in each of three companies, with P/E (price/earning) ratios of 2.5, 3 and 10. What is the average P/E ratio for the investor's portfolio? >>> harmonic_mean([2.5, 3, 10]) # For an equal investment portfolio. 3.6 Using the arithmetic mean would give an average of about 5.167, which is too high. If ``data`` is empty, or any element is less than zero, ``harmonic_mean`` will raise ``StatisticsError``. z.harmonic mean does not support negative valuesr(z.harmonic_mean requires at least one data pointrzunsupported typec
ss|]}
d|
V
qd
S)r(Nr&�r*rAr&r&r'r-�
sz harmonic_mean..) r[r\rQr� isinstance�numbersZRealrrFr>rZr`rP)r7rYr,rAr:r=r9r&r&r'ro
s$












"

c
Cs\t|�
}t
|�
}
|
d
kr td�
�
|
ddkr8||
dS|
d}||d||dSdS)aB
Return the median (middle value) of numeric data. When the number of data points is odd, return the middle data point. When the number of data points is even, the median is interpolated by taking the average of the two middle values: >>> median([1, 3, 5]) 3 >>> median([1, 3, 5, 7]) 4.0 r�no median for empty data�r(N�r5rQr)r7r,rSr&r&r'r�
s 





c
CsLt|�
}t
|�
}
|
d
kr td�
�
|
ddkr8||
dS||
ddSdS)a
Return the low median of numeric data. When the number of data points is odd, the middle value is returned. When it is even, the smaller of the two middle values is returned. >>> median_low([1, 3, 5]) 3 >>> median_low([1, 3, 5, 7]) 3 rrdrer(Nrf�r7r,r&r&r'r �
s




c
Cs,t|�
}t
|�
}
|
d
kr td�
�
||
dS)a
Return the high median of data. When the number of data points is odd, the middle value is returned. When it is even, the larger of the two middle values is returned. >>> median_high([1, 3, 5]) 3 >>> median_high([1, 3, 5, 7]) 5 rrdrerfrgr&r&r'r �
s 



r(c Cs�t|�
}t
|�
}|d
kr"td�
�
n|dkr2|d
S||d}||
fD]}t|ttf�rFtd|�
�
qFz||
d}Wn(tk r�


t|�
t|
�
d}YnXt||�}t |||�}|}||d} ||
|d|| S)a�Return the 50th percentile (median) of grouped continuous data. >>> median_grouped([1, 2, 2, 3, 4, 4, 4, 4, 4, 5]) 3.7 >>> median_grouped([52, 52, 53, 54]) 52.5 This calculates the median as the 50th percentile, and should be used when your data is continuous and grouped. In the above example, the values 1, 2, 3, etc. actually represent the midpoint of classes 0.5-1.5, 1.5-2.5, 2.5-3.5, etc. The middle value falls somewhere in class 3.5-4.5, and interpolation is used to estimate it. Optional argument ``interval`` represents the class interval, and defaults to 1. Changing the class interval naturally will change the interpolated 50th percentile value: >>> median_grouped([1, 3, 3, 5, 7], interval=1) 3.25 >>> median_grouped([1, 3, 3, 5, 7], interval=2) 3.5 This function does not check whether the data points are at least ``interval`` apart. rrdr(rezexpected number but got %r) r5rQrrb�str�bytesrFrErTrW) r7Zintervalr,rA�obj�
L�l1�l2Zcf�
fr&r&r'r�
s&










 


c
CsHt|�
}t
|�
�d
�
}
z|
ddWStk rB


td�
d�YnXdS)axReturn the most common data point from discrete or nominal data. ``mode`` assumes discrete data, and returns a single value. This is the standard treatment of the mode as commonly taught in schools: >>> mode([1, 1, 2, 3, 3, 3, 3, 4]) 3 This also works with nominal (non-numeric) data: >>> mode(["red", "blue", "blue", "red", "green", "red", "red"]) 'red' If there are multiple modes with same frequency, return the first one encountered: >>> mode(['red', 'red', 'green', 'blue', 'blue']) 'red' If *data* is empty, ``mode``, raises StatisticsError. r(rzno mode for empty dataN)r[r"�most_common� IndexErrorr)r7Zpairsr&r&r'rs




c
Cs@tt
|�
�
��}
tt|
td
�
d�dgf�\}}tttd�
|��
S)a.
Return a list of the most frequently occurring values. Will return more than one result if there are multiple modes or an empty list if *data* is empty. >>> multimode('aabbbbbbbbcc') ['b'] >>> multimode('aabbbbccddddeeffffgg') ['b', 'd', 'f'] >>> multimode('') [] r()
�keyr)r"r[ro�nextrr!r\r3)r7ZcountsZmaxcountZ mode_itemsr&r&r'r5s 

�� exclusive)r,�methodc
 CsL
|
d
krtd�
�
t
|�
}t|�
}|dkr0td�
�
|dkr�|d
}g}td
|
�D]N}|||
}||||
}|||
|||d
||
} |�| �

qN|S|dk�
r:|d
}g}td
|
�D]r}|||
}|d
kr�d
n||d
kr�|d
n|}||||
}||d
|
|||||
} |�| �

q�|Std|���
�
dS) a�Divide *data* into *n* continuous intervals with equal probability. Returns a list of (n - 1) cut points separating the intervals. Set *n* to 4 for quartiles (the default). Set *n* to 10 for deciles. Set *n* to 100 for percentiles which gives the 99 cuts points that separate *data* in to 100 equal sized groups. The *data* can be any iterable containing sample. The cut points are linearly interpolated between data points. If *method* is set to *inclusive*, *data* is treated as population data. The minimum value is treated as the 0th percentile and the maximum value is treated as the 100th percentile. r(zn must be at least 1rez"must have at least two data pointsZ inclusivertzUnknown method: N)rr5rQ�range�appendrM) r7r,ruZld�
m�resultrS�
jZdeltaZinterpolatedr&r&r'rls4











$







$

$


cs��d
k r,t�f
dd�|D�
�
\}}}||fSt
|�
�t�f
dd�|D�
�
\}}}t�f
dd�|D�
�
\}}}||dt|�
8}||fS)a;
Return sum of square deviations of sequence data. If ``c`` is None, the mean is calculated in one pass, and the deviations from the mean are calculated in a second pass. Otherwise, deviations are calculated from ``c`` as given. Use the second case with care, as it can lead to garbage results. Nc
3s|]}
|
�dV
qd
S�reNr&ra�
�
cr&r'r-�sz_ss..c
3s|]}
|
�dV
qd
Sr{r&rar|r&r'r-�sc
3s|]}
|
�V
qdSr)r&rar|r&r'r-�sre)r>rrQ)r7r}r:r=r9�
UZtotal2Zcount2r&r|r'�_ss�s



rcCsLt|�
|krt
|�
}t|�
}|d
kr,td�
�
t||
�\}}t||d|�S)a�Return the sample variance of data. data should be an iterable of Real-valued numbers, with at least two values. The optional argument xbar, if given, should be the mean of the data. If it is missing or None, the mean is automatically calculated. Use this function when your data is a sample from a population. To calculate the variance from the entire population, see ``pvariance``. Examples: >>> data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5] >>> variance(data) 1.3720238095238095 If you have already calculated the mean of your data, you can pass it as the optional second argument ``xbar`` to avoid recalculating it: >>> m = mean(data) >>> variance(data, m) 1.3720238095238095 This function does not check that ``xbar`` is actually the mean of ``data``. Giving arbitrary values for ``xbar`` may lead to invalid or impossible results. Decimals and Fractions are supported: >>> from decimal import Decimal as D >>> variance([D("27.5"), D("30.25"), D("30.25"), D("34.5"), D("41.75")]) Decimal('31.01875') >>> from fractions import Fraction as F >>> variance([F(1, 6), F(1, 2), F(5, 3)]) Fraction(67, 108) rez*variance requires at least two data pointsr(�r[r\rQrrrP)r7�xbarr,r:�ssr&r&r'r�s&





cCsHt|�
|krt
|�
}t|�
}|d
kr,td�
�
t||
�\}}t|||�S)a,Return the population variance of ``data``. data should be a sequence or iterable of Real-valued numbers, with at least one value. The optional argument mu, if given, should be the mean of the data. If it is missing or None, the mean is automatically calculated. Use this function to calculate the variance from the entire population. To estimate the variance from a sample, the ``variance`` function is usually a better choice. Examples: >>> data = [0.0, 0.25, 0.25, 1.25, 1.5, 1.75, 2.75, 3.25] >>> pvariance(data) 1.25 If you have already calculated the mean of the data, you can pass it as the optional second argument to avoid recalculating it: >>> mu = mean(data) >>> pvariance(data, mu) 1.25 Decimals and Fractions are supported: >>> from decimal import Decimal as D >>> pvariance([D("27.5"), D("30.25"), D("30.25"), D("34.5"), D("41.75")]) Decimal('24.815') >>> from fractions import Fraction as F >>> pvariance([F(1, 4), F(5, 4), F(1, 2)]) Fraction(13, 72) r(z*pvariance requires at least one data pointr�)r7�mur,r:r�r&r&r'r�s#





cCs8t||
�}z |�
�WStk r2


t�
|�
YSXd
S)z�Return the square root of the sample variance. See ``variance`` for arguments and other details. >>> stdev([1.5, 2.5, 2.5, 2.75, 3.25, 4.75]) 1.0810874155219827 N)rrr?r@)r7r��varr&r&r'rs



cCs8t||
�}z |�
�WStk r2


t�
|�
YSXd
S)z�Return the square root of the population variance. See ``pvariance`` for arguments and other details. >>> pstdev([1.5, 2.5, 2.5, 2.75, 3.25, 4.75]) 0.986893273527251 N)rrr?r@)r7r�r�r&r&r'r &s



cCs|d
}t|�
dk
r�d||}d|d|d|d|d|d |d |d|}d|d |d|d|d|d|d|d}||}|
||S|dk
r�|nd|}t
t|�
�
}|dk
�
r^|d}d|d|d|d|d|d|d|d}d|d |d!|d"|d#|d$|d%|d}n�|d}d&|d'|d(|d)|d*|d+|d,|d-}d.|d/|d0|d1|d2|d3|d4|d}||}|dk�
r�|}|
||S)5N��?g333333�?g��Q��?g^�}o)��@g�E.k�R�@g ��Ul�@g*u��>l�@g�N����@g��"]Ξ@gnC���`@gu��@giK��~j�@gv��|E�@g��d�|1�@gfR��r��@g��u.2�@g����~y�@g�n8(E@��?�g@g�������?g鬷�ZaI?gg�El�D�?g7\�����?g�uS�S�?g�=�. @gj%b�@g���Hw�@gjR��e��?g�9dh? >g('߿��A?g��~z �?g@�3��?gɅ3��?g3fR�x��?gI�F��l@g����t��>g*�Y��n�>gESB\T?g�N;A+�?g�UR1���?gE�F���?gP�n��@g&�>���@g����i�g�tcI,\�>g�ŝ���I?g*F2�v�?g�C4��?g��O�1�?)rrr)�
pr��sigma�
q�
rZnumZdenrAr&r&r'�_normal_dist_inv_cdf9sd



�
�������������
�
������������





�
������������
�
������������ 
�
������������
�
������������


r�c@s�eZ
dZd
Zddd�Zd8dd�
Zed d ��
Zdd�
d d�Zdd�Z dd�Z dd�Zd9dd�
Zdd�Z edd��
Zedd��
Zedd��
Zed d!��
Zed"d#��
Zd$d%�Zd&d'�Zd(d)�Zd*d+�Zd,d-�Zd.d/�ZeZd0d1�ZeZd2d3�Zd4d5�Zd6d7�ZdS):r
z(Normal distribution of a random variablez(Arithmetic mean of a normal distributionz+Standard deviation of a normal distribution)�_mu�_sigmar�r�cCs(|d
krtd�
�
t
|
�
|_t
|�
|_dS)zDNormalDist where mu is the mean and sigma is the standard deviation.r�zsigma must be non-negativeN)rrEr�r�)�selfr�r�r&r&r'�__init__�s


zNormalDist.__init__cCs.t|
t
tf�st
|
�
}
t|
�
}||t|
|��S)
z5Make a normal distribution instance from sample data.)rbr\�tuplerr)�clsr7r�r&r&r'�from_samples�s


zNormalDist.from_samplesN)
�seedc
sB|d
krtj
n t�|�
j
�|j|j�
���
�fdd�t|
�
D�
S)z=Generate *n* samples for a given mean and standard deviation.Nc
sg|]}
��
���qSr&r&�r*rS��gaussr�r�r&r'� �sz&NormalDist.samples..)�randomr�ZRandomr�r�rv)r�r,r�r&r�r'�samples�s

zNormalDist.samplescCs<|jd
}|st
d�
�
t|
|jd
d|�
tt|�
S)z4Probability density function. P(x <= X < x+dx) / dx�@z$pdf() not defined when sigma is zerog�)r�rrr�rr)r�rArr&r&r'�pdf�s


zNormalDist.pdfcCs2|jst
d
�
�
ddt|
|j|jtd�
�
S)z,Cumulative distribution function. P(X <= x)z$cdf() not defined when sigma is zeror�r�r�)r�rrr�r)r�rAr&r&r'�cdf�s

zNormalDist.cdfcCs:|
d
k
s|
dkrtd�
�
|j
d
k
r*td�
�
t|
|j|j
�S)aS
Inverse cumulative distribution function. x : P(X <= x) = p Finds the value of the random variable such that the probability of the variable being less than or equal to that value equals the given probability. This function is also called the percent point function or quantile function. r�r�z$p must be in the range 0.0 < p < 1.0z-cdf() not defined when sigma at or below zero)rr�r�r�)r�r�r&r&r'�inv_cdf�s 



zNormalDist.inv_cdfrscs��
fd
d�td��D�
S)an
Divide into *n* continuous intervals with equal probability. Returns a list of (n - 1) cut points separating the intervals. Set *n* to 4 for quartiles (the default). Set *n* to 10 for deciles. Set *n* to 100 for percentiles which gives the 99 cuts points that separate the normal distribution in to 100 equal sized groups. c
sg|]}
�
�|
��
�qSr&)
r�r��r,r�r&r'r��sz(NormalDist.quantiles..r()
rv)r�r,r&r�r'r�s zNormalDist.quantilescCs
t|
t
�std
�
�
||
}}|j|jf|j|jfkr>||}}|j|j}}|rT|s\td�
�
||}t|j|j�
}|s�dt|d|jt d�
�
S|j||j|}|j|jt |d|t ||�
�
} || |} || |}dt|�| �
|�| �
�
t|�|�
|�|�
�
S)a�
Compute the overlapping coefficient (OVL) between two normal distributions. Measures the agreement between two normal probability distributions. Returns a value between 0.0 and 1.0 giving the overlapping area in the two underlying probability density functions. >>> N1 = NormalDist(2.4, 1.6) >>> N2 = NormalDist(3.2, 2.0) >>> N1.overlap(N2) 0.8035050657330205 z$Expected another NormalDist instancez(overlap() not defined when sigma is zeror�r�)rbr
rFr�r�rrrrrrr�)r��other�
X�
YZX_varZY_varZdvZdmrR�
b�x1�x2r&r&r'�overlap�s"












(


zNormalDist.overlapc


Cs|jS)
z+Arithmetic mean of the normal distribution.�
r��
r�r&r&r'r�szNormalDist.meanc


Cs|jS)
z,Return the median of the normal distributionr�r�r&r&r'r�szNormalDist.medianc


Cs|jS)
z�Return the mode of the normal distribution The mode is the value x where which the probability density function (pdf) takes its maximum value. r�r�r&r&r'r�szNormalDist.modec


Cs|jS)
z.Standard deviation of the normal distribution.�
r�r�r&r&r'r�szNormalDist.stdevc

Cs |jd
S)z!Square of the standard deviation.r�r�r�r&r&r'rszNormalDist.variancecCs8t|
t
�r&t
|j|
jt|j|
j��St
|j|
|j�S)
aj
Add a constant or another NormalDist instance. If *other* is a constant, translate mu by the constant, leaving sigma unchanged. If *other* is a NormalDist, add both the means and the variances. Mathematically, this works only if the two distributions are independent or if they are jointly normally distributed. �rbr
r�rr��r�r�r&r&r'�__add__ s

zNormalDist.__add__cCs8t|
t
�r&t
|j|
jt|j|
j��St
|j|
|j�S)
as
Subtract a constant or another NormalDist instance. If *other* is a constant, translate by the constant mu, leaving sigma unchanged. If *other* is a NormalDist, subtract the means and add the variances. Mathematically, this works only if the two distributions are independent or if they are jointly normally distributed. r�r�r&r&r'�__sub__s

zNormalDist.__sub__cCst|j
|
|jt|
�
�S)
z�Multiply both mu and sigma by a constant. Used for rescaling, perhaps to change measurement units. Sigma is scaled with the absolute value of the constant. �r
r�r�rr�r&r&r'�__mul__%szNormalDist.__mul__cCst|j
|
|jt|
�
�S)
z�Divide both mu and sigma by a constant. Used for rescaling, perhaps to change measurement units. Sigma is scaled with the absolute value of the constant. r�r�r&r&r'�__truediv__-szNormalDist.__truediv__c

Cst|j
|j�S)
zReturn a copy of the instance.�r
r�r��
r�r&r&r'�__pos__5szNormalDist.__pos__c

Cst|j
|j�S)
z(Negates mu while keeping sigma the same.r�r�r&r&r'�__neg__9szNormalDist.__neg__cCs ||
S)
zrBr0r.rPrTrWrZrrrrrr r rrrrrrrrr r�r
Z_statistics�ImportErrorr#r�r�r�r�r�r�ZdoctestZg1Zg2r,r�r�r��func�printr�r3Zconstr�r�r�r�rG�zipZtestmodr&r&r&r'�
s�S















�





(

 :  / 779  / ,  JQ


 
























� 
�