/opt/alt/python39/lib64/python3.9/__pycache__
NameSizeModeActions
abc.cpython-39.opt-1.pyc57880644editdlrm
abc.cpython-39.opt-2.pyc32290644editdlrm
abc.cpython-39.pyc57880644editdlrm
aifc.cpython-39.opt-1.pyc252790644editdlrm
aifc.cpython-39.opt-2.pyc200720644editdlrm
aifc.cpython-39.pyc252790644editdlrm
antigravity.cpython-39.opt-1.pyc8320644editdlrm
antigravity.cpython-39.opt-2.pyc6880644editdlrm
antigravity.cpython-39.pyc8320644editdlrm
argparse.cpython-39.opt-1.pyc635560644editdlrm
argparse.cpython-39.opt-2.pyc541920644editdlrm
argparse.cpython-39.pyc636670644editdlrm
ast.cpython-39.opt-1.pyc523450644editdlrm
ast.cpython-39.opt-2.pyc438000644editdlrm
ast.cpython-39.pyc523960644editdlrm
asynchat.cpython-39.opt-1.pyc68350644editdlrm
asynchat.cpython-39.opt-2.pyc54600644editdlrm
asynchat.cpython-39.pyc68350644editdlrm
asyncore.cpython-39.opt-1.pyc160490644editdlrm
asyncore.cpython-39.opt-2.pyc148450644editdlrm
asyncore.cpython-39.pyc160490644editdlrm
base64.cpython-39.opt-1.pyc163360644editdlrm
base64.cpython-39.opt-2.pyc108160644editdlrm
base64.cpython-39.pyc164680644editdlrm
bdb.cpython-39.opt-1.pyc245530644editdlrm
bdb.cpython-39.opt-2.pyc155160644editdlrm
bdb.cpython-39.pyc245530644editdlrm
binhex.cpython-39.opt-1.pyc129780644editdlrm
binhex.cpython-39.opt-2.pyc124440644editdlrm
binhex.cpython-39.pyc129780644editdlrm
bisect.cpython-39.opt-1.pyc23630644editdlrm
bisect.cpython-39.opt-2.pyc10510644editdlrm
bisect.cpython-39.pyc23630644editdlrm
bz2.cpython-39.opt-1.pyc115580644editdlrm
bz2.cpython-39.opt-2.pyc65420644editdlrm
bz2.cpython-39.pyc115580644editdlrm
calendar.cpython-39.opt-1.pyc270440644editdlrm
calendar.cpython-39.opt-2.pyc224520644editdlrm
calendar.cpython-39.pyc270440644editdlrm
cgi.cpython-39.opt-1.pyc264950644editdlrm
cgi.cpython-39.opt-2.pyc180690644editdlrm
cgi.cpython-39.pyc264950644editdlrm
cgitb.cpython-39.opt-1.pyc101990644editdlrm
cgitb.cpython-39.opt-2.pyc86000644editdlrm
cgitb.cpython-39.pyc101990644editdlrm
chunk.cpython-39.opt-1.pyc48540644editdlrm
chunk.cpython-39.opt-2.pyc27100644editdlrm
chunk.cpython-39.pyc48540644editdlrm
cmd.cpython-39.opt-1.pyc126890644editdlrm
cmd.cpython-39.opt-2.pyc72640644editdlrm
cmd.cpython-39.pyc126890644editdlrm
code.cpython-39.opt-1.pyc99290644editdlrm
code.cpython-39.opt-2.pyc46580644editdlrm
code.cpython-39.pyc99290644editdlrm
codecs.cpython-39.opt-1.pyc339010644editdlrm
codecs.cpython-39.opt-2.pyc183290644editdlrm
codecs.cpython-39.pyc339010644editdlrm
codeop.cpython-39.opt-1.pyc64710644editdlrm
codeop.cpython-39.opt-2.pyc24110644editdlrm
codeop.cpython-39.pyc64710644editdlrm
colorsys.cpython-39.opt-1.pyc32730644editdlrm
colorsys.cpython-39.opt-2.pyc26670644editdlrm
colorsys.cpython-39.pyc32730644editdlrm
compileall.cpython-39.opt-1.pyc126020644editdlrm
compileall.cpython-39.opt-2.pyc93430644editdlrm
compileall.cpython-39.pyc126020644editdlrm
configparser.cpython-39.opt-1.pyc458820644editdlrm
configparser.cpython-39.opt-2.pyc307420644editdlrm
configparser.cpython-39.pyc458820644editdlrm
contextlib.cpython-39.opt-1.pyc195410644editdlrm
contextlib.cpython-39.opt-2.pyc139560644editdlrm
contextlib.cpython-39.pyc195510644editdlrm
contextvars.cpython-39.opt-1.pyc2580644editdlrm
contextvars.cpython-39.opt-2.pyc2580644editdlrm
contextvars.cpython-39.pyc2580644editdlrm
copy.cpython-39.opt-1.pyc69760644editdlrm
copy.cpython-39.opt-2.pyc46730644editdlrm
copy.cpython-39.pyc69760644editdlrm
copyreg.cpython-39.opt-1.pyc44240644editdlrm
copyreg.cpython-39.opt-2.pyc36220644editdlrm
copyreg.cpython-39.pyc44430644editdlrm
cProfile.cpython-39.opt-1.pyc51290644editdlrm
cProfile.cpython-39.opt-2.pyc46680644editdlrm
cProfile.cpython-39.pyc51290644editdlrm
crypt.cpython-39.opt-1.pyc35260644editdlrm
crypt.cpython-39.opt-2.pyc28640644editdlrm
crypt.cpython-39.pyc35260644editdlrm
csv.cpython-39.opt-1.pyc118620644editdlrm
csv.cpython-39.opt-2.pyc98210644editdlrm
csv.cpython-39.pyc118620644editdlrm
dataclasses.cpython-39.opt-1.pyc232300644editdlrm
dataclasses.cpython-39.opt-2.pyc197910644editdlrm
dataclasses.cpython-39.pyc232300644editdlrm
datetime.cpython-39.opt-1.pyc569870644editdlrm
datetime.cpython-39.opt-2.pyc485430644editdlrm
datetime.cpython-39.pyc581280644editdlrm
decimal.cpython-39.opt-1.pyc3720644editdlrm
decimal.cpython-39.opt-2.pyc3720644editdlrm
decimal.cpython-39.pyc3720644editdlrm
difflib.cpython-39.opt-1.pyc585710644editdlrm
difflib.cpython-39.opt-2.pyc250370644editdlrm
difflib.cpython-39.pyc585930644editdlrm
dis.cpython-39.opt-1.pyc158330644editdlrm
dis.cpython-39.opt-2.pyc120260644editdlrm
dis.cpython-39.pyc158330644editdlrm
doctest.cpython-39.opt-1.pyc758450644editdlrm
doctest.cpython-39.opt-2.pyc405390644editdlrm
doctest.cpython-39.pyc760520644editdlrm
enum.cpython-39.opt-1.pyc260330644editdlrm
enum.cpython-39.opt-2.pyc211110644editdlrm
enum.cpython-39.pyc260330644editdlrm
filecmp.cpython-39.opt-1.pyc86350644editdlrm
filecmp.cpython-39.opt-2.pyc60970644editdlrm
filecmp.cpython-39.pyc86350644editdlrm
fileinput.cpython-39.opt-1.pyc138030644editdlrm
fileinput.cpython-39.opt-2.pyc81950644editdlrm
fileinput.cpython-39.pyc138030644editdlrm
fnmatch.cpython-39.opt-1.pyc38830644editdlrm
fnmatch.cpython-39.opt-2.pyc26750644editdlrm
fnmatch.cpython-39.pyc39550644editdlrm
formatter.cpython-39.opt-1.pyc175520644editdlrm
formatter.cpython-39.opt-2.pyc151120644editdlrm
formatter.cpython-39.pyc175520644editdlrm
fractions.cpython-39.opt-1.pyc180620644editdlrm
fractions.cpython-39.opt-2.pyc108620644editdlrm
fractions.cpython-39.pyc180620644editdlrm
ftplib.cpython-39.opt-1.pyc287070644editdlrm
ftplib.cpython-39.opt-2.pyc185630644editdlrm
ftplib.cpython-39.pyc287070644editdlrm
functools.cpython-39.opt-1.pyc287360644editdlrm
functools.cpython-39.opt-2.pyc220150644editdlrm
functools.cpython-39.pyc287360644editdlrm
genericpath.cpython-39.opt-1.pyc45540644editdlrm
genericpath.cpython-39.opt-2.pyc33710644editdlrm
genericpath.cpython-39.pyc45540644editdlrm
getopt.cpython-39.opt-1.pyc62550644editdlrm
getopt.cpython-39.opt-2.pyc37010644editdlrm
getopt.cpython-39.pyc62730644editdlrm
getpass.cpython-39.opt-1.pyc42130644editdlrm
getpass.cpython-39.opt-2.pyc30270644editdlrm
getpass.cpython-39.pyc42130644editdlrm
gettext.cpython-39.opt-1.pyc180860644editdlrm
gettext.cpython-39.opt-2.pyc173950644editdlrm
gettext.cpython-39.pyc180860644editdlrm
glob.cpython-39.opt-1.pyc45180644editdlrm
glob.cpython-39.opt-2.pyc36580644editdlrm
glob.cpython-39.pyc45570644editdlrm
graphlib.cpython-39.opt-1.pyc75350644editdlrm
graphlib.cpython-39.opt-2.pyc40990644editdlrm
graphlib.cpython-39.pyc75810644editdlrm
gzip.cpython-39.opt-1.pyc185070644editdlrm
gzip.cpython-39.opt-2.pyc146400644editdlrm
gzip.cpython-39.pyc185070644editdlrm
hashlib.cpython-39.opt-1.pyc67040644editdlrm
hashlib.cpython-39.opt-2.pyc61360644editdlrm
hashlib.cpython-39.pyc67040644editdlrm
heapq.cpython-39.opt-1.pyc140530644editdlrm
heapq.cpython-39.opt-2.pyc110370644editdlrm
heapq.cpython-39.pyc140530644editdlrm
hmac.cpython-39.opt-1.pyc68130644editdlrm
hmac.cpython-39.opt-2.pyc42960644editdlrm
hmac.cpython-39.pyc68130644editdlrm
imaplib.cpython-39.opt-1.pyc403980644editdlrm
imaplib.cpython-39.opt-2.pyc277150644editdlrm
imaplib.cpython-39.pyc425790644editdlrm
imghdr.cpython-39.opt-1.pyc41530644editdlrm
imghdr.cpython-39.opt-2.pyc38380644editdlrm
imghdr.cpython-39.pyc41530644editdlrm
imp.cpython-39.opt-1.pyc98640644editdlrm
imp.cpython-39.opt-2.pyc74990644editdlrm
imp.cpython-39.pyc98640644editdlrm
inspect.cpython-39.opt-1.pyc812430644editdlrm
inspect.cpython-39.opt-2.pyc561150644editdlrm
inspect.cpython-39.pyc814850644editdlrm
io.cpython-39.opt-1.pyc34210644editdlrm
io.cpython-39.opt-2.pyc19320644editdlrm
io.cpython-39.pyc34210644editdlrm
ipaddress.cpython-39.opt-1.pyc656950644editdlrm
ipaddress.cpython-39.opt-2.pyc397150644editdlrm
ipaddress.cpython-39.pyc656950644editdlrm
keyword.cpython-39.opt-1.pyc9290644editdlrm
keyword.cpython-39.opt-2.pyc5250644editdlrm
keyword.cpython-39.pyc9290644editdlrm
linecache.cpython-39.opt-1.pyc40410644editdlrm
linecache.cpython-39.opt-2.pyc28080644editdlrm
linecache.cpython-39.pyc40410644editdlrm
locale.cpython-39.opt-1.pyc347090644editdlrm
locale.cpython-39.opt-2.pyc300910644editdlrm
locale.cpython-39.pyc347090644editdlrm
lzma.cpython-39.opt-1.pyc121070644editdlrm
lzma.cpython-39.opt-2.pyc59090644editdlrm
lzma.cpython-39.pyc121070644editdlrm
mailbox.cpython-39.opt-1.pyc605590644editdlrm
mailbox.cpython-39.opt-2.pyc539550644editdlrm
mailbox.cpython-39.pyc606130644editdlrm
mailcap.cpython-39.opt-1.pyc72520644editdlrm
mailcap.cpython-39.opt-2.pyc56820644editdlrm
mailcap.cpython-39.pyc72520644editdlrm
mimetypes.cpython-39.opt-1.pyc160280644editdlrm
mimetypes.cpython-39.opt-2.pyc100130644editdlrm
mimetypes.cpython-39.pyc160280644editdlrm
modulefinder.cpython-39.opt-1.pyc160950644editdlrm
modulefinder.cpython-39.opt-2.pyc151860644editdlrm
modulefinder.cpython-39.pyc161410644editdlrm
netrc.cpython-39.opt-1.pyc37960644editdlrm
netrc.cpython-39.opt-2.pyc35580644editdlrm
netrc.cpython-39.pyc37960644editdlrm
nntplib.cpython-39.opt-1.pyc317760644editdlrm
nntplib.cpython-39.opt-2.pyc201760644editdlrm
nntplib.cpython-39.pyc317760644editdlrm
ntpath.cpython-39.opt-1.pyc148250644editdlrm
ntpath.cpython-39.opt-2.pyc127740644editdlrm
ntpath.cpython-39.pyc148250644editdlrm
nturl2path.cpython-39.opt-1.pyc17590644editdlrm
nturl2path.cpython-39.opt-2.pyc13400644editdlrm
nturl2path.cpython-39.pyc17590644editdlrm
numbers.cpython-39.opt-1.pyc123320644editdlrm
numbers.cpython-39.opt-2.pyc83750644editdlrm
numbers.cpython-39.pyc123320644editdlrm
opcode.cpython-39.opt-1.pyc52360644editdlrm
opcode.cpython-39.opt-2.pyc50950644editdlrm
opcode.cpython-39.pyc52360644editdlrm
operator.cpython-39.opt-1.pyc137970644editdlrm
operator.cpython-39.opt-2.pyc114080644editdlrm
operator.cpython-39.pyc137970644editdlrm
optparse.cpython-39.opt-1.pyc479010644editdlrm
optparse.cpython-39.opt-2.pyc355860644editdlrm
optparse.cpython-39.pyc479560644editdlrm
os.cpython-39.opt-1.pyc316430644editdlrm
os.cpython-39.opt-2.pyc194530644editdlrm
os.cpython-39.pyc316590644editdlrm
pathlib.cpython-39.opt-1.pyc435410644editdlrm
pathlib.cpython-39.opt-2.pyc346810644editdlrm
pathlib.cpython-39.pyc435410644editdlrm
pdb.cpython-39.opt-1.pyc475600644editdlrm
pdb.cpython-39.opt-2.pyc334890644editdlrm
pdb.cpython-39.pyc475990644editdlrm
pickle.cpython-39.opt-1.pyc470250644editdlrm
pickle.cpython-39.opt-2.pyc411550644editdlrm
pickle.cpython-39.pyc471110644editdlrm
pickletools.cpython-39.opt-1.pyc663060644editdlrm
pickletools.cpython-39.opt-2.pyc572130644editdlrm
pickletools.cpython-39.pyc671200644editdlrm
pipes.cpython-39.opt-1.pyc78080644editdlrm
pipes.cpython-39.opt-2.pyc49410644editdlrm
pipes.cpython-39.pyc78080644editdlrm
pkgutil.cpython-39.opt-1.pyc185790644editdlrm
pkgutil.cpython-39.opt-2.pyc118800644editdlrm
pkgutil.cpython-39.pyc185790644editdlrm
platform.cpython-39.opt-1.pyc264290644editdlrm
platform.cpython-39.opt-2.pyc183610644editdlrm
platform.cpython-39.pyc264290644editdlrm
plistlib.cpython-39.opt-1.pyc235090644editdlrm
plistlib.cpython-39.opt-2.pyc211500644editdlrm
plistlib.cpython-39.pyc235600644editdlrm
poplib.cpython-39.opt-1.pyc136700644editdlrm
poplib.cpython-39.opt-2.pyc87400644editdlrm
poplib.cpython-39.pyc136700644editdlrm
posixpath.cpython-39.opt-1.pyc106220644editdlrm
posixpath.cpython-39.opt-2.pyc89070644editdlrm
posixpath.cpython-39.pyc106220644editdlrm
pprint.cpython-39.opt-1.pyc168100644editdlrm
pprint.cpython-39.opt-2.pyc146530644editdlrm
pprint.cpython-39.pyc168430644editdlrm
profile.cpython-39.opt-1.pyc142360644editdlrm
profile.cpython-39.opt-2.pyc112580644editdlrm
profile.cpython-39.pyc144240644editdlrm
pstats.cpython-39.opt-1.pyc237650644editdlrm
pstats.cpython-39.opt-2.pyc208560644editdlrm
pstats.cpython-39.pyc237650644editdlrm
pty.cpython-39.opt-1.pyc39690644editdlrm
pty.cpython-39.opt-2.pyc31240644editdlrm
pty.cpython-39.pyc39690644editdlrm
pyclbr.cpython-39.opt-1.pyc104620644editdlrm
pyclbr.cpython-39.opt-2.pyc68610644editdlrm
pyclbr.cpython-39.pyc104620644editdlrm
pydoc.cpython-39.opt-1.pyc854410644editdlrm
pydoc.cpython-39.opt-2.pyc755590644editdlrm
pydoc.cpython-39.pyc854730644editdlrm
py_compile.cpython-39.opt-1.pyc74090644editdlrm
py_compile.cpython-39.opt-2.pyc36710644editdlrm
py_compile.cpython-39.pyc74090644editdlrm
queue.cpython-39.opt-1.pyc108890644editdlrm
queue.cpython-39.opt-2.pyc65390644editdlrm
queue.cpython-39.pyc108890644editdlrm
quopri.cpython-39.opt-1.pyc56160644editdlrm
quopri.cpython-39.opt-2.pyc45800644editdlrm
quopri.cpython-39.pyc57600644editdlrm
random.cpython-39.opt-1.pyc220560644editdlrm
random.cpython-39.opt-2.pyc146090644editdlrm
random.cpython-39.pyc220560644editdlrm
re.cpython-39.opt-1.pyc143750644editdlrm
re.cpython-39.opt-2.pyc60370644editdlrm
re.cpython-39.pyc143750644editdlrm
reprlib.cpython-39.opt-1.pyc53200644editdlrm
reprlib.cpython-39.opt-2.pyc51640644editdlrm
reprlib.cpython-39.pyc53200644editdlrm
rlcompleter.cpython-39.opt-1.pyc58190644editdlrm
rlcompleter.cpython-39.opt-2.pyc31560644editdlrm
rlcompleter.cpython-39.pyc58190644editdlrm
runpy.cpython-39.opt-1.pyc93980644editdlrm
runpy.cpython-39.opt-2.pyc69560644editdlrm
runpy.cpython-39.pyc93980644editdlrm
sched.cpython-39.opt-1.pyc66460644editdlrm
sched.cpython-39.opt-2.pyc36180644editdlrm
sched.cpython-39.pyc66460644editdlrm
secrets.cpython-39.opt-1.pyc21930644editdlrm
secrets.cpython-39.opt-2.pyc11350644editdlrm
secrets.cpython-39.pyc21930644editdlrm
selectors.cpython-39.opt-1.pyc172580644editdlrm
selectors.cpython-39.opt-2.pyc131490644editdlrm
selectors.cpython-39.pyc172580644editdlrm
shelve.cpython-39.opt-1.pyc95570644editdlrm
shelve.cpython-39.opt-2.pyc54060644editdlrm
shelve.cpython-39.pyc95570644editdlrm
shlex.cpython-39.opt-1.pyc77470644editdlrm
shlex.cpython-39.opt-2.pyc71890644editdlrm
shlex.cpython-39.pyc77470644editdlrm
shutil.cpython-39.opt-1.pyc385100644editdlrm
shutil.cpython-39.opt-2.pyc264420644editdlrm
shutil.cpython-39.pyc385100644editdlrm
signal.cpython-39.opt-1.pyc30190644editdlrm
signal.cpython-39.opt-2.pyc27950644editdlrm
signal.cpython-39.pyc30190644editdlrm
site.cpython-39.opt-1.pyc170230644editdlrm
site.cpython-39.opt-2.pyc114870644editdlrm
site.cpython-39.pyc170230644editdlrm
smtpd.cpython-39.opt-1.pyc265370644editdlrm
smtpd.cpython-39.opt-2.pyc239170644editdlrm
smtpd.cpython-39.pyc265370644editdlrm
smtplib.cpython-39.opt-1.pyc358980644editdlrm
smtplib.cpython-39.opt-2.pyc195360644editdlrm
smtplib.cpython-39.pyc359430644editdlrm
sndhdr.cpython-39.opt-1.pyc70060644editdlrm
sndhdr.cpython-39.opt-2.pyc57310644editdlrm
sndhdr.cpython-39.pyc70060644editdlrm
socket.cpython-39.opt-1.pyc289890644editdlrm
socket.cpython-39.opt-2.pyc204500644editdlrm
socket.cpython-39.pyc290130644editdlrm
socketserver.cpython-39.opt-1.pyc255280644editdlrm
socketserver.cpython-39.opt-2.pyc148120644editdlrm
socketserver.cpython-39.pyc255280644editdlrm
sre_compile.cpython-39.opt-1.pyc149720644editdlrm
sre_compile.cpython-39.opt-2.pyc145580644editdlrm
sre_compile.cpython-39.pyc151670644editdlrm
sre_constants.cpython-39.opt-1.pyc63490644editdlrm
sre_constants.cpython-39.opt-2.pyc59240644editdlrm
sre_constants.cpython-39.pyc63490644editdlrm
sre_parse.cpython-39.opt-1.pyc217850644editdlrm
sre_parse.cpython-39.opt-2.pyc217370644editdlrm
sre_parse.cpython-39.pyc218220644editdlrm
ssl.cpython-39.opt-1.pyc450700644editdlrm
ssl.cpython-39.opt-2.pyc340860644editdlrm
ssl.cpython-39.pyc450700644editdlrm
stat.cpython-39.opt-1.pyc43850644editdlrm
stat.cpython-39.opt-2.pyc36020644editdlrm
stat.cpython-39.pyc43850644editdlrm
statistics.cpython-39.opt-1.pyc317970644editdlrm
statistics.cpython-39.opt-2.pyc159240644editdlrm
statistics.cpython-39.pyc319910644editdlrm
string.cpython-39.opt-1.pyc71780644editdlrm
string.cpython-39.opt-2.pyc60720644editdlrm
string.cpython-39.pyc71780644editdlrm
stringprep.cpython-39.opt-1.pyc99590644editdlrm
stringprep.cpython-39.opt-2.pyc97410644editdlrm
stringprep.cpython-39.pyc99990644editdlrm
struct.cpython-39.opt-1.pyc3190644editdlrm
struct.cpython-39.opt-2.pyc3190644editdlrm
struct.cpython-39.pyc3190644editdlrm
subprocess.cpython-39.opt-1.pyc443230644editdlrm
subprocess.cpython-39.opt-2.pyc322850644editdlrm
subprocess.cpython-39.pyc443990644editdlrm
sunau.cpython-39.opt-1.pyc168300644editdlrm
sunau.cpython-39.opt-2.pyc122400644editdlrm
sunau.cpython-39.pyc168300644editdlrm
symbol.cpython-39.opt-1.pyc25920644editdlrm
symbol.cpython-39.opt-2.pyc25160644editdlrm
symbol.cpython-39.pyc25920644editdlrm
symtable.cpython-39.opt-1.pyc111010644editdlrm
symtable.cpython-39.opt-2.pyc103720644editdlrm
symtable.cpython-39.pyc111790644editdlrm
sysconfig.cpython-39.opt-1.pyc160800644editdlrm
sysconfig.cpython-39.opt-2.pyc137020644editdlrm
sysconfig.cpython-39.pyc160800644editdlrm
tabnanny.cpython-39.opt-1.pyc70780644editdlrm
tabnanny.cpython-39.opt-2.pyc61450644editdlrm
tabnanny.cpython-39.pyc70780644editdlrm
tarfile.cpython-39.opt-1.pyc728220644editdlrm
tarfile.cpython-39.opt-2.pyc575640644editdlrm
tarfile.cpython-39.pyc728370644editdlrm
telnetlib.cpython-39.opt-1.pyc183440644editdlrm
telnetlib.cpython-39.opt-2.pyc108420644editdlrm
telnetlib.cpython-39.pyc183440644editdlrm
tempfile.cpython-39.opt-1.pyc236690644editdlrm
tempfile.cpython-39.opt-2.pyc171430644editdlrm
tempfile.cpython-39.pyc236690644editdlrm
textwrap.cpython-39.opt-1.pyc134760644editdlrm
textwrap.cpython-39.opt-2.pyc62670644editdlrm
textwrap.cpython-39.pyc135340644editdlrm
this.cpython-39.opt-1.pyc12720644editdlrm
this.cpython-39.opt-2.pyc12720644editdlrm
this.cpython-39.pyc12720644editdlrm
threading.cpython-39.opt-1.pyc417290644editdlrm
threading.cpython-39.opt-2.pyc245420644editdlrm
threading.cpython-39.pyc421940644editdlrm
timeit.cpython-39.opt-1.pyc117690644editdlrm
timeit.cpython-39.opt-2.pyc59150644editdlrm
timeit.cpython-39.pyc117690644editdlrm
token.cpython-39.opt-1.pyc25090644editdlrm
token.cpython-39.opt-2.pyc24760644editdlrm
token.cpython-39.pyc25090644editdlrm
tokenize.cpython-39.opt-1.pyc171500644editdlrm
tokenize.cpython-39.opt-2.pyc133860644editdlrm
tokenize.cpython-39.pyc171780644editdlrm
trace.cpython-39.opt-1.pyc197720644editdlrm
trace.cpython-39.opt-2.pyc167570644editdlrm
trace.cpython-39.pyc197720644editdlrm
traceback.cpython-39.opt-1.pyc204530644editdlrm
traceback.cpython-39.opt-2.pyc115000644editdlrm
traceback.cpython-39.pyc204530644editdlrm
tracemalloc.cpython-39.opt-1.pyc179480644editdlrm
tracemalloc.cpython-39.opt-2.pyc165350644editdlrm
tracemalloc.cpython-39.pyc179480644editdlrm
tty.cpython-39.opt-1.pyc10910644editdlrm
tty.cpython-39.opt-2.pyc9820644editdlrm
tty.cpython-39.pyc10910644editdlrm
types.cpython-39.opt-1.pyc92490644editdlrm
types.cpython-39.opt-2.pyc80270644editdlrm
types.cpython-39.pyc92490644editdlrm
typing.cpython-39.opt-1.pyc718180644editdlrm
typing.cpython-39.opt-2.pyc505700644editdlrm
typing.cpython-39.pyc719480644editdlrm
uu.cpython-39.opt-1.pyc38600644editdlrm
uu.cpython-39.opt-2.pyc36160644editdlrm
uu.cpython-39.pyc38600644editdlrm
uuid.cpython-39.opt-1.pyc224100644editdlrm
uuid.cpython-39.opt-2.pyc146970644editdlrm
uuid.cpython-39.pyc225230644editdlrm
warnings.cpython-39.opt-1.pyc131790644editdlrm
warnings.cpython-39.opt-2.pyc109040644editdlrm
warnings.cpython-39.pyc136180644editdlrm
wave.cpython-39.opt-1.pyc178570644editdlrm
wave.cpython-39.opt-2.pyc118650644editdlrm
wave.cpython-39.pyc178860644editdlrm
weakref.cpython-39.opt-1.pyc202840644editdlrm
weakref.cpython-39.opt-2.pyc169990644editdlrm
weakref.cpython-39.pyc202980644editdlrm
webbrowser.cpython-39.opt-1.pyc171300644editdlrm
webbrowser.cpython-39.opt-2.pyc147200644editdlrm
webbrowser.cpython-39.pyc171470644editdlrm
xdrlib.cpython-39.opt-1.pyc82560644editdlrm
xdrlib.cpython-39.opt-2.pyc77710644editdlrm
xdrlib.cpython-39.pyc82560644editdlrm
zipapp.cpython-39.opt-1.pyc59980644editdlrm
zipapp.cpython-39.opt-2.pyc48220644editdlrm
zipapp.cpython-39.pyc59980644editdlrm
zipfile.cpython-39.opt-1.pyc595630644editdlrm
zipfile.cpython-39.opt-2.pyc505750644editdlrm
zipfile.cpython-39.pyc595840644editdlrm
zipimport.cpython-39.opt-1.pyc171720644editdlrm
zipimport.cpython-39.opt-2.pyc136540644editdlrm
zipimport.cpython-39.pyc172500644editdlrm
_aix_support.cpython-39.opt-1.pyc30590644editdlrm
_aix_support.cpython-39.opt-2.pyc17040644editdlrm
_aix_support.cpython-39.pyc30590644editdlrm
_bootlocale.cpython-39.opt-1.pyc12300644editdlrm
_bootlocale.cpython-39.opt-2.pyc10050644editdlrm
_bootlocale.cpython-39.pyc12400644editdlrm
_bootsubprocess.cpython-39.opt-1.pyc22580644editdlrm
_bootsubprocess.cpython-39.opt-2.pyc20290644editdlrm
_bootsubprocess.cpython-39.pyc22580644editdlrm
_collections_abc.cpython-39.opt-1.pyc317440644editdlrm
_collections_abc.cpython-39.opt-2.pyc262540644editdlrm
_collections_abc.cpython-39.pyc317440644editdlrm
_compat_pickle.cpython-39.opt-1.pyc54480644editdlrm
_compat_pickle.cpython-39.opt-2.pyc54480644editdlrm
_compat_pickle.cpython-39.pyc55010644editdlrm
_compression.cpython-39.opt-1.pyc42110644editdlrm
_compression.cpython-39.opt-2.pyc39970644editdlrm
_compression.cpython-39.pyc42110644editdlrm
_markupbase.cpython-39.opt-1.pyc76390644editdlrm
_markupbase.cpython-39.opt-2.pyc72610644editdlrm
_markupbase.cpython-39.pyc77900644editdlrm
_osx_support.cpython-39.opt-1.pyc115950644editdlrm
_osx_support.cpython-39.opt-2.pyc89050644editdlrm
_osx_support.cpython-39.pyc115950644editdlrm
_pydecimal.cpython-39.opt-1.pyc1606260644editdlrm
_pydecimal.cpython-39.opt-2.pyc790090644editdlrm
_pydecimal.cpython-39.pyc1606260644editdlrm
_pyio.cpython-39.opt-1.pyc743800644editdlrm
_pyio.cpython-39.opt-2.pyc515830644editdlrm
_pyio.cpython-39.pyc744000644editdlrm
_py_abc.cpython-39.opt-1.pyc46470644editdlrm
_py_abc.cpython-39.opt-2.pyc34340644editdlrm
_py_abc.cpython-39.pyc46690644editdlrm
_sitebuiltins.cpython-39.opt-1.pyc35140644editdlrm
_sitebuiltins.cpython-39.opt-2.pyc29900644editdlrm
_sitebuiltins.cpython-39.pyc35140644editdlrm
_strptime.cpython-39.opt-1.pyc160280644editdlrm
_strptime.cpython-39.opt-2.pyc123000644editdlrm
_strptime.cpython-39.pyc160280644editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-39.opt-1.pyc269610644editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-39.opt-2.pyc269610644editdlrm
_sysconfigdata_d_linux_x86_64-linux-gnu.cpython-39.pyc269610644editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-39.opt-1.pyc270070644editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-39.opt-2.pyc270070644editdlrm
_sysconfigdata__linux_x86_64-linux-gnu.cpython-39.pyc270070644editdlrm
_threading_local.cpython-39.opt-1.pyc65190644editdlrm
_threading_local.cpython-39.opt-2.pyc31990644editdlrm
_threading_local.cpython-39.pyc65190644editdlrm
_weakrefset.cpython-39.opt-1.pyc77370644editdlrm
_weakrefset.cpython-39.opt-2.pyc77370644editdlrm
_weakrefset.cpython-39.pyc77370644editdlrm
__future__.cpython-39.opt-1.pyc41390644editdlrm
__future__.cpython-39.opt-2.pyc21670644editdlrm
__future__.cpython-39.pyc41390644editdlrm
__phello__.foo.cpython-39.opt-1.pyc1420644editdlrm
__phello__.foo.cpython-39.opt-2.pyc1420644editdlrm
__phello__.foo.cpython-39.pyc1420644editdlrm
Edit: /opt/alt/python39/lib64/python3.9/__pycache__/statistics.cpython-39.pyc (31991B)
a XC?h@sdZgdZddlZddlZddlZddlmZddlmZddl m Z ddl m Z m Z ddlmZmZmZmZmZmZmZmZdd lmZdd lmZGd d d eZdGd dZddZddZddZddZ ddZ!ddZ"dHddZ#ddZ$d d!Z%d"d#Z&d$d%Z'd&d'Z(d(d)Z)d*d+Z*dId-d.Z+d/d0Z,d1d2Z-d3d4d5d6d7Z.dJd8d9Z/dKd:d;Z0dLdd?Z2dNd@dAZ3dBdCZ4zddDl5m4Z4Wne6yYn0GdEdFdFZ7dS)Oam 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. ) NormalDistStatisticsErrorfmeangeometric_mean harmonic_meanmeanmedianmedian_grouped median_high median_lowmode multimodepstdev pvariance quantilesstdevvarianceNFraction)Decimal)groupby) bisect_left bisect_right)hypotsqrtfabsexperftaulogfsum) itemgetter)Counterc@s eZdZdS)rN)__name__ __module__ __qualname__r&r&//opt/alt/python39/lib64/python3.9/statistics.pyrusrc Csd}t|\}}||i}|j}ttt|}t|tD]@\}} t||}tt| D]"\}}|d7}||d|||<qRq6d|vr|d} t| rJntddt | 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. rNcss|]\}}t||VqdSNr).0dnr&r&r' z_sum..) _exact_ratioget_coerceinttypermap _isfinitesumsorteditems) datastartcountr,r+ZpartialsZ partials_getTtypvaluestotalr&r&r'_sum{s$  r@cCs,z |WSty&t|YS0dSr))Z is_finiteAttributeErrormathZisfinite)xr&r&r'r5s  r5cCs|tusJd||ur|S|tus,|tur0|S|tur<|St||rJ|St||rX|St|trf|St|trt|St|trt|tr|St|trt|tr|Sd}t||j|jfdS)zCoerce 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. zinitial type T is boolz"don't know how to coerce %s and %sN)boolr2 issubclassrfloat TypeErrorr#)r<Smsgr&r&r'r1s  r1c Csznt|tust|tur$|WSz|j|jfWWStyjz|WYWStydYn0Yn0Wn*ttfyt |rJ|dfYS0d}t | t|j dS)zReturn Real number x to exact (numerator, denominator) pair. >>> _exact_ratio(0.25) (1, 4) x is expected to be an int, Fraction, Decimal or float. Nz0can't convert type '{}' to numerator/denominator) r3rFras_integer_ratio numerator denominatorrA OverflowError ValueErrorr5rGformatr#)rCrIr&r&r'r/s    r/cCsnt||ur|St|tr(|jdkr(t}z ||WStyht|trb||j||jYSYn0dS)z&Convert value to given numeric type T.r(N)r3rEr2rLrFrGrrK)valuer<r&r&r'_converts    rQcCs.t||}|t|kr&|||kr&|StdS)z,Locate the leftmost value exactly equal to xN)rlenrN)arCir&r&r' _find_lteq s rUcCs>t|||d}|t|dkr6||d|kr6|dStdS)z-Locate the rightmost value exactly equal to x)lor(N)rrRrN)rSlrCrTr&r&r' _find_rteqs rXnegative valueccs$|D]}|dkrt||VqdS)z7Iterate over values, failing if any are less than zero.rN)r)r>errmsgrCr&r&r' _fail_negsr[cCsTt||urt|}t|}|dkr,tdt|\}}}||ksFJt|||S)aReturn 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)iterlistrRrr@rQ)r9r,r<r?r;r&r&r'r's  rcspz t|Wn.ty:dfdd}t||}Yn 0t|}z |WStyjtddYn0dS)zConvert 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 rc3s t|ddD]\}|Vq dS)Nr()r:) enumerate)iterablerCr,r&r'r;Oszfmean..countz&fmean requires at least one data pointN)rRrGr ZeroDivisionErrorr)r9r;r?r&r`r'rAs      rcCs6ztttt|WSty0tddYn0dS)aYConvert 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 zGgeometric mean requires a non-empty dataset containing positive numbersN)rrr4rrNr)r9r&r&r'r\s  rcCst||urt|}d}t|}|dkr2tdn<|dkrn|d}t|tjtfrf|dkrbt||Stdz"t ddt ||D\}}}Wnt yYdS0||ksJt |||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 typecss|]}d|VqdS)r(Nr&r*rCr&r&r'r-r.z harmonic_mean..) r\r]rRr isinstancenumbersZRealrrGr@r[rarQ)r9rZr,rCr<r?r;r&r&r'ros&  "  rcCs\t|}t|}|dkr td|ddkr8||dS|d}||d||dSdS)aBReturn 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 rno median for empty datar(Nr7rRr)r9r,rTr&r&r'rs   rcCsLt|}t|}|dkr 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 rrerfr(Nrgr9r,r&r&r'r s   r cCs,t|}t|}|dkr td||dS)aReturn 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 rrerfrgrhr&r&r'r s r r(c Cst|}t|}|dkr"tdn|dkr2|dS||d}||fD]}t|ttfrFtd|qFz||d}Wn&tyt|t|d}Yn0t||}t |||}|}||d} |||d|| S)aReturn 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. rrer(rfzexpected number but got %r) r7rRrrcstrbytesrGrFrUrX) r9Zintervalr,rCobjLl1l2Zcffr&r&r'rs&       rcCsBtt|d}z|ddWSty<tddYn0dS)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)r9Zpairsr&r&r'r s  r cCs@tt|}tt|tdddgf\}}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\rpnextrr!r]r4)r9ZcountsZmaxcountZ mode_itemsr&r&r'r 4s r  exclusive)r,methodc CsB|dkrtdt|}t|}|dkr0td|dkr|d}g}td|D]D}t|||\}}||||||d||} || qN|S|dkr0|d}g}td|D]r}|||}|dkrdn||dkr|dn|}||||}||d||||||} || q|Std|dS) aDivide *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 1rfz"must have at least two data pointsZ inclusiveruzUnknown method: N)rr7rRrangedivmodappendrN) r9r,rvZldmresultrTjZdeltaZ interpolatedr&r&r'rks2$   $$ rcsdur,tfdd|D\}}}||fSt|tfdd|D\}}}tfdd|D\}}}||kr|||ksJ||dt|8}|dkrJd|||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. Nc3s|]}|dVqdSrfNr&rbcr&r'r-r.z_ss..c3s|]}|dVqdSr}r&rbr~r&r'r-r.c3s|]}|VqdSr)r&rbr~r&r'r-r.rfrz%negative sum of square deviations: %f)r@rrR)r9rr<r?r;UZtotal2Zcount2r&r~r'_sssrcCsLt||urt|}t|}|dkr,tdt||\}}t||d|S)aReturn 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) rfz*variance requires at least two data pointsr(r\r]rRrrrQ)r9xbarr,r<ssr&r&r'rs& rcCsHt||urt|}t|}|dkr,tdt||\}}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)r9mur,r<rr&r&r'rs# rcCs6t||}z |WSty0t|YS0dS)zReturn 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)rrrArB)r9rvarr&r&r'rs   rcCs6t||}z |WSty0t|YS0dS)zReturn 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)rrrArB)r9rrr&r&r'r $s   r cCs|d}t|dkrd||}d|d|d|d|d|d |d |d |}d |d |d|d|d|d|d|d}||}|||S|dkr|nd|}tt| }|dkr^|d}d|d|d|d|d|d|d|d}d|d |d!|d"|d#|d$|d%|d}n|d}d&|d'|d(|d)|d*|d+|d,|d-}d.|d/|d0|d1|d2|d3|d4|d}||}|dkr| }|||S)5N?g333333?gQ?g^}o)@gE.kR@g Ul@g*u>l@gN@g"]Ξ@gnC`@gu @giK~j@gv|E@gd|1@gfRr@gu.2@g~y@gn8(E@?g@g?g鬷ZaI?ggElD?g7\?guSS?g=. @gj%b@gHw@gjRe?g9dh? >g('߿A?g~z ?g@3?gɅ3?g3fRx?gIFl@gt>g*Yn>gESB\T?gN;A+?gUR1?gEF?gPn@g&>@gigtcI,\>gŝI?g*F2v?gC4?gO1?)rrr)prsigmaqrZnumZdenrCr&r&r'_normal_dist_inv_cdf7sd      r)rc@seZdZdZdddZd:ddZed d Zd d d dZddZ ddZ ddZ d;ddZ ddZ ddZeddZeddZed d!Zed"d#Zed$d%Zd&d'Zd(d)Zd*d+Zd,d-Zd.d/Zd0d1ZeZd2d3ZeZd4d5Zd6d7Zd8d9Z d S)r.z&NormalDist.samples..)randomrZRandomrrrw)rr,rr&rr'samplesszNormalDist.samplescCs<|jd}|stdt||jdd|tt|S)z4Probability density function. P(x <= X < x+dx) / dx@z$pdf() not defined when sigma is zerog)rrrrrr)rrCrr&r&r'pdfs zNormalDist.pdfcCs2|jstdddt||j|jtdS)z,Cumulative distribution function. P(X <= x)z$cdf() not defined when sigma is zerorrr)rrrrrrrCr&r&r'cdfszNormalDist.cdfcCs:|dks|dkrtd|jdkr*tdt||j|jS)aSInverse cumulative distribution function. x : P(X <= x) = p Finds the value of the random variable such that the probability of the variable being less than or equal to that value equals the given probability. This function is also called the percent point function or quantile function. rrz$p must be in the range 0.0 < p < 1.0z-cdf() not defined when sigma at or below zero)rrrr)rrr&r&r'inv_cdfs  zNormalDist.inv_cdfrtcsfddtdDS)anDivide 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. csg|]}|qSr&)rrr,rr&r'rr.z(NormalDist.quantiles..r()rw)rr,r&rr'rs zNormalDist.quantilesc Cst|tstd||}}|j|jf|j|jfkr>||}}|j|j}}|rT|s\td||}t|j|j}|sdt|d|jt dS|j||j|}|j|jt |d|t ||} || |} || |} dt| | | | t| | | | S)aCompute 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 zerorr) rcrrGrrrrrrrrr) rotherXYZX_varZY_varZdvZdmrSbx1x2r&r&r'overlaps"   (  zNormalDist.overlapcCs|jstd||j|jS)zCompute the Standard Score. (x - mean) / stdev Describes *x* in terms of the number of standard deviations above or below the mean of the normal distribution. z'zscore() not defined when sigma is zero)rrrrr&r&r'zscoreszNormalDist.zscorecCs|jS)z+Arithmetic mean of the normal distribution.rrr&r&r'rszNormalDist.meancCs|jS)z,Return the median of the normal distributionrrr&r&r'rszNormalDist.mediancCs|jS)zReturn the mode of the normal distribution The mode is the value x where which the probability density function (pdf) takes its maximum value. rrr&r&r'r szNormalDist.modecCs|jS)z.Standard deviation of the normal distribution.rrr&r&r'rszNormalDist.stdevcCs |jdS)z!Square of the standard deviation.rrrr&r&r'rszNormalDist.variancecCs8t|tr&t|j|jt|j|jSt|j||jS)ajAdd 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. rcrrrrrrr&r&r'__add__s zNormalDist.__add__cCs8t|tr&t|j|jt|j|jSt|j||jS)asSubtract 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. rrr&r&r'__sub__'s zNormalDist.__sub__cCst|j||jt|S)zMultiply 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. rrrrrr&r&r'__mul__5szNormalDist.__mul__cCst|j||jt|S)zDivide 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. rrr&r&r' __truediv__=szNormalDist.__truediv__cCst|j|jS)zReturn a copy of the instance.rrrrr&r&r'__pos__EszNormalDist.__pos__cCst|j |jS)z(Negates mu while keeping sigma the same.rrr&r&r'__neg__IszNormalDist.__neg__cCs || S)zsTR   (   :  / 778  / ,  K