repo stringlengths 7 54 | path stringlengths 4 223 | func_name stringlengths 1 134 | original_string stringlengths 75 104k | language stringclasses 1 value | code stringlengths 75 104k | code_tokens listlengths 20 28.4k | docstring stringlengths 1 46.3k | docstring_tokens listlengths 1 1.66k | sha stringlengths 40 40 | url stringlengths 87 315 | partition stringclasses 1 value | summary stringlengths 4 350 | obf_code stringlengths 7.85k 764k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
matthew-brett/delocate | delocate/delocating.py | _merge_lib_dict | def _merge_lib_dict(d1, d2):
""" Merges lib_dict `d2` into lib_dict `d1`
"""
for required, requirings in d2.items():
if required in d1:
d1[required].update(requirings)
else:
d1[required] = requirings
return None | python | def _merge_lib_dict(d1, d2):
""" Merges lib_dict `d2` into lib_dict `d1`
"""
for required, requirings in d2.items():
if required in d1:
d1[required].update(requirings)
else:
d1[required] = requirings
return None | [
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(276 - 227) + chr(666 - 618) + '\060', 58413 - 58405), nzTpIcepk0o8(chr(2227 - 2179) + chr(10342 - 10231) + chr(0b100000 + 0o26) + chr(0b110011), 51777 - 51769), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100101 + 0o16) + '\x36' + '\064', ord("\x08")), nzTpIcepk0o8(chr(1364 - 1316) + chr(111) + chr(786 - 737) + '\x36' + chr(53), 38124 - 38116), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + '\x31' + '\066', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(790 - 740), 0o10), nzTpIcepk0o8('\060' + chr(0b1101110 + 0o1) + chr(1529 - 1480) + chr(52) + chr(0b11000 + 0o35), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b1001 + 0o50) + chr(52) + '\063', 418 - 410), nzTpIcepk0o8(chr(1840 - 1792) + chr(0b100110 + 0o111) + chr(0b110010) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(7804 - 7693) + chr(0b1110 + 0o43) + chr(0b110011) + chr(0b110110), 47214 - 47206), nzTpIcepk0o8(chr(2229 - 2181) + chr(0b1101110 + 0o1) + chr(373 - 323) + chr(0b110011) + chr(55), 13231 - 13223), nzTpIcepk0o8('\x30' + chr(111) + chr(0b10010 + 0o40) + chr(54) + chr(49), 15827 - 15819), nzTpIcepk0o8(chr(845 - 797) + chr(0b110111 + 0o70) + chr(0b110010) + chr(51), 21271 - 21263), nzTpIcepk0o8('\x30' + '\157' + '\067', 0b1000), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(722 - 611) + chr(0b110001) + chr(0b101100 + 0o11) + '\x37', 0o10), nzTpIcepk0o8(chr(805 - 757) + chr(0b10010 + 0o135) + chr(53), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\063' + '\x33' + chr(48), 54010 - 54002), nzTpIcepk0o8('\060' + '\x6f' + chr(401 - 351) + chr(1548 - 1495) + '\x35', 53152 - 53144), nzTpIcepk0o8('\060' + chr(11805 - 11694) + chr(0b101001 + 0o12) + '\x33' + '\x32', ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + '\x32' + chr(798 - 744), 0o10), nzTpIcepk0o8(chr(1532 - 1484) + chr(111) + '\x32' + chr(0b10001 + 0o40) + '\062', 62148 - 62140), nzTpIcepk0o8(chr(1212 - 1164) + chr(0b1101111) + chr(0b10011 + 0o37) + '\062' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(1481 - 1433) + '\157' + chr(53) + '\067', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1001 + 0o146) + chr(902 - 851) + '\x31' + '\x33', 0o10), nzTpIcepk0o8(chr(1588 - 1540) + chr(111) + chr(2232 - 2182) + chr(0b110100) + chr(0b100100 + 0o14), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b100000 + 0o22) + chr(0b1100 + 0o47) + chr(1411 - 1363), 26930 - 26922), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b11001 + 0o32) + chr(936 - 884) + '\x31', ord("\x08")), nzTpIcepk0o8('\x30' + chr(3483 - 3372) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(390 - 342) + '\x6f' + '\x34' + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1001010 + 0o45) + chr(0b10100 + 0o35) + chr(48) + '\064', 0b1000), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b11000 + 0o33) + '\x31' + '\066', 59033 - 59025), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(53) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b11100 + 0o123) + chr(54) + '\062', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100 + 0o60) + '\060', 0o10), nzTpIcepk0o8(chr(48) + chr(3617 - 3506) + '\062' + chr(171 - 118) + chr(0b101111 + 0o1), 55511 - 55503), nzTpIcepk0o8('\060' + chr(111) + '\x33' + '\067', 23609 - 23601), nzTpIcepk0o8('\060' + chr(3478 - 3367) + chr(50) + chr(1830 - 1775) + chr(1838 - 1790), ord("\x08")), nzTpIcepk0o8(chr(0b100000 + 0o20) + '\157' + chr(50) + chr(0b110000 + 0o5) + '\063', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(52) + chr(0b110100), 0b1000), nzTpIcepk0o8('\x30' + chr(361 - 250) + '\062' + chr(1115 - 1062), 37037 - 37029)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x35' + '\060', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'n'), '\x64' + '\145' + chr(99) + chr(111) + chr(100) + chr(0b1100101))('\165' + chr(0b10000 + 0o144) + chr(3984 - 3882) + '\x2d' + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def CGsRPqsqCMjv(n6rotHTVu42X, PAfFNjUIOLoy):
for (eXn9UCMDSCqp, qdnETBpztPnY) in roI3spqORKae(PAfFNjUIOLoy, roI3spqORKae(ES5oEprVxulp(b'\x19l\x9a;\x0bp-W"(\xc7\xd8'), chr(0b1100100) + chr(5079 - 4978) + chr(0b1011000 + 0o13) + chr(111) + chr(0b101111 + 0o65) + chr(0b1100101))(chr(2642 - 2525) + chr(116) + '\146' + '\x2d' + '\x38'))():
if eXn9UCMDSCqp in n6rotHTVu42X:
roI3spqORKae(n6rotHTVu42X[eXn9UCMDSCqp], roI3spqORKae(ES5oEprVxulp(b"\nl\x9fG\x07S'Rr;\xee\xdf"), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1010111 + 0o36) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)))(qdnETBpztPnY)
else:
n6rotHTVu42X[eXn9UCMDSCqp] = qdnETBpztPnY
return None |
matthew-brett/delocate | delocate/delocating.py | delocate_wheel | def delocate_wheel(in_wheel,
out_wheel = None,
lib_sdir = '.dylibs',
lib_filt_func = None,
copy_filt_func = filter_system_libs,
require_archs = None,
check_verbose = False,
):
""" Update wheel by copying required libraries to `lib_sdir` in wheel
Create `lib_sdir` in wheel tree only if we are copying one or more
libraries.
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
out_wheel : None or str
Filename of processed wheel to write. If None, overwrite `in_wheel`
lib_sdir : str, optional
Subdirectory name in wheel package directory (or directories) to store
needed libraries.
lib_filt_func : None or str or callable, optional
If None, inspect all files for dependencies on dynamic libraries. If
callable, accepts filename as argument, returns True if we should
inspect the file, False otherwise. If str == "dylibs-only" then inspect
only files with known dynamic library extensions (``.dylib``, ``.so``).
copy_filt_func : None or callable, optional
If callable, called on each library name detected as a dependency; copy
where ``copy_filt_func(libname)`` is True, don't copy otherwise.
Default is callable rejecting only libraries beginning with
``/usr/lib`` or ``/System``. None means copy all libraries. This will
usually end up copying large parts of the system run-time.
require_archs : None or str or sequence, optional
If None, do no checks of architectures in libraries. If sequence,
sequence of architectures (output from ``lipo -info``) that every
library in the wheels should have (e.g. ``['x86_64, 'i386']``). An
empty sequence results in checks that depended libraries have the same
archs as depending libraries. If string, either "intel" (corresponds
to sequence ``['x86_64, 'i386']``) or name of required architecture
(e.g "i386" or "x86_64").
check_verbose : bool, optional
If True, print warning messages about missing required architectures
Returns
-------
copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that was copied into `lib_sdir` of the wheel packages, and
``dependings_dict`` is a dictionary with key, value pairs where the key
is a path in the wheel depending on ``copied_lib_path``, and the value
is the ``install_name`` of ``copied_lib_path`` in the depending
library. The filenames in the keys are relative to the wheel root path.
"""
if lib_filt_func == "dylibs-only":
lib_filt_func = _dylibs_only
in_wheel = abspath(in_wheel)
if out_wheel is None:
out_wheel = in_wheel
else:
out_wheel = abspath(out_wheel)
in_place = in_wheel == out_wheel
with TemporaryDirectory() as tmpdir:
all_copied = {}
wheel_dir = realpath(pjoin(tmpdir, 'wheel'))
zip2dir(in_wheel, wheel_dir)
for package_path in find_package_dirs(wheel_dir):
lib_path = pjoin(package_path, lib_sdir)
lib_path_exists = exists(lib_path)
copied_libs = delocate_path(package_path, lib_path,
lib_filt_func, copy_filt_func)
if copied_libs and lib_path_exists:
raise DelocationError(
'{0} already exists in wheel but need to copy '
'{1}'.format(lib_path, '; '.join(copied_libs)))
if len(os.listdir(lib_path)) == 0:
shutil.rmtree(lib_path)
# Check architectures
if not require_archs is None:
stop_fast = not check_verbose
bads = check_archs(copied_libs, require_archs, stop_fast)
if len(bads) != 0:
if check_verbose:
print(bads_report(bads, pjoin(tmpdir, 'wheel')))
raise DelocationError(
"Some missing architectures in wheel")
# Change install ids to be unique within Python space
install_id_root = (DLC_PREFIX +
relpath(package_path, wheel_dir) +
'/')
for lib in copied_libs:
lib_base = basename(lib)
copied_path = pjoin(lib_path, lib_base)
set_install_id(copied_path, install_id_root + lib_base)
validate_signature(copied_path)
_merge_lib_dict(all_copied, copied_libs)
if len(all_copied):
rewrite_record(wheel_dir)
if len(all_copied) or not in_place:
dir2zip(wheel_dir, out_wheel)
return stripped_lib_dict(all_copied, wheel_dir + os.path.sep) | python | def delocate_wheel(in_wheel,
out_wheel = None,
lib_sdir = '.dylibs',
lib_filt_func = None,
copy_filt_func = filter_system_libs,
require_archs = None,
check_verbose = False,
):
""" Update wheel by copying required libraries to `lib_sdir` in wheel
Create `lib_sdir` in wheel tree only if we are copying one or more
libraries.
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
out_wheel : None or str
Filename of processed wheel to write. If None, overwrite `in_wheel`
lib_sdir : str, optional
Subdirectory name in wheel package directory (or directories) to store
needed libraries.
lib_filt_func : None or str or callable, optional
If None, inspect all files for dependencies on dynamic libraries. If
callable, accepts filename as argument, returns True if we should
inspect the file, False otherwise. If str == "dylibs-only" then inspect
only files with known dynamic library extensions (``.dylib``, ``.so``).
copy_filt_func : None or callable, optional
If callable, called on each library name detected as a dependency; copy
where ``copy_filt_func(libname)`` is True, don't copy otherwise.
Default is callable rejecting only libraries beginning with
``/usr/lib`` or ``/System``. None means copy all libraries. This will
usually end up copying large parts of the system run-time.
require_archs : None or str or sequence, optional
If None, do no checks of architectures in libraries. If sequence,
sequence of architectures (output from ``lipo -info``) that every
library in the wheels should have (e.g. ``['x86_64, 'i386']``). An
empty sequence results in checks that depended libraries have the same
archs as depending libraries. If string, either "intel" (corresponds
to sequence ``['x86_64, 'i386']``) or name of required architecture
(e.g "i386" or "x86_64").
check_verbose : bool, optional
If True, print warning messages about missing required architectures
Returns
-------
copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that was copied into `lib_sdir` of the wheel packages, and
``dependings_dict`` is a dictionary with key, value pairs where the key
is a path in the wheel depending on ``copied_lib_path``, and the value
is the ``install_name`` of ``copied_lib_path`` in the depending
library. The filenames in the keys are relative to the wheel root path.
"""
if lib_filt_func == "dylibs-only":
lib_filt_func = _dylibs_only
in_wheel = abspath(in_wheel)
if out_wheel is None:
out_wheel = in_wheel
else:
out_wheel = abspath(out_wheel)
in_place = in_wheel == out_wheel
with TemporaryDirectory() as tmpdir:
all_copied = {}
wheel_dir = realpath(pjoin(tmpdir, 'wheel'))
zip2dir(in_wheel, wheel_dir)
for package_path in find_package_dirs(wheel_dir):
lib_path = pjoin(package_path, lib_sdir)
lib_path_exists = exists(lib_path)
copied_libs = delocate_path(package_path, lib_path,
lib_filt_func, copy_filt_func)
if copied_libs and lib_path_exists:
raise DelocationError(
'{0} already exists in wheel but need to copy '
'{1}'.format(lib_path, '; '.join(copied_libs)))
if len(os.listdir(lib_path)) == 0:
shutil.rmtree(lib_path)
# Check architectures
if not require_archs is None:
stop_fast = not check_verbose
bads = check_archs(copied_libs, require_archs, stop_fast)
if len(bads) != 0:
if check_verbose:
print(bads_report(bads, pjoin(tmpdir, 'wheel')))
raise DelocationError(
"Some missing architectures in wheel")
# Change install ids to be unique within Python space
install_id_root = (DLC_PREFIX +
relpath(package_path, wheel_dir) +
'/')
for lib in copied_libs:
lib_base = basename(lib)
copied_path = pjoin(lib_path, lib_base)
set_install_id(copied_path, install_id_root + lib_base)
validate_signature(copied_path)
_merge_lib_dict(all_copied, copied_libs)
if len(all_copied):
rewrite_record(wheel_dir)
if len(all_copied) or not in_place:
dir2zip(wheel_dir, out_wheel)
return stripped_lib_dict(all_copied, wheel_dir + os.path.sep) | [
"def",
"delocate_wheel",
"(",
"in_wheel",
",",
"out_wheel",
"=",
"None",
",",
"lib_sdir",
"=",
"'.dylibs'",
",",
"lib_filt_func",
"=",
"None",
",",
"copy_filt_func",
"=",
"filter_system_libs",
",",
"require_archs",
"=",
"None",
",",
"check_verbose",
"=",
"False"... | Update wheel by copying required libraries to `lib_sdir` in wheel
Create `lib_sdir` in wheel tree only if we are copying one or more
libraries.
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
out_wheel : None or str
Filename of processed wheel to write. If None, overwrite `in_wheel`
lib_sdir : str, optional
Subdirectory name in wheel package directory (or directories) to store
needed libraries.
lib_filt_func : None or str or callable, optional
If None, inspect all files for dependencies on dynamic libraries. If
callable, accepts filename as argument, returns True if we should
inspect the file, False otherwise. If str == "dylibs-only" then inspect
only files with known dynamic library extensions (``.dylib``, ``.so``).
copy_filt_func : None or callable, optional
If callable, called on each library name detected as a dependency; copy
where ``copy_filt_func(libname)`` is True, don't copy otherwise.
Default is callable rejecting only libraries beginning with
``/usr/lib`` or ``/System``. None means copy all libraries. This will
usually end up copying large parts of the system run-time.
require_archs : None or str or sequence, optional
If None, do no checks of architectures in libraries. If sequence,
sequence of architectures (output from ``lipo -info``) that every
library in the wheels should have (e.g. ``['x86_64, 'i386']``). An
empty sequence results in checks that depended libraries have the same
archs as depending libraries. If string, either "intel" (corresponds
to sequence ``['x86_64, 'i386']``) or name of required architecture
(e.g "i386" or "x86_64").
check_verbose : bool, optional
If True, print warning messages about missing required architectures
Returns
-------
copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that was copied into `lib_sdir` of the wheel packages, and
``dependings_dict`` is a dictionary with key, value pairs where the key
is a path in the wheel depending on ``copied_lib_path``, and the value
is the ``install_name`` of ``copied_lib_path`` in the depending
library. The filenames in the keys are relative to the wheel root path. | [
"Update",
"wheel",
"by",
"copying",
"required",
"libraries",
"to",
"lib_sdir",
"in",
"wheel"
] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/delocating.py#L303-L407 | train | Copy required libraries from in_wheel to out_wheel. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + chr(48) + chr(49), 54279 - 54271), nzTpIcepk0o8(chr(1088 - 1040) + chr(111) + chr(451 - 402) + chr(0b100101 + 0o14), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(51) + chr(48) + chr(0b111 + 0o60), 49480 - 49472), nzTpIcepk0o8(chr(1760 - 1712) + '\x6f' + chr(0b1100 + 0o45) + chr(721 - 668) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b101001 + 0o7) + '\x6f' + '\x32' + chr(49) + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + chr(1972 - 1921) + chr(53) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(7183 - 7072) + '\064' + chr(0b11 + 0o57), 0o10), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\x6f' + '\063' + chr(1266 - 1211) + '\062', 0o10), nzTpIcepk0o8(chr(1447 - 1399) + chr(7476 - 7365) + '\x31' + '\x34' + chr(52), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1883 - 1833) + chr(49) + '\x30', 32644 - 32636), nzTpIcepk0o8(chr(620 - 572) + '\x6f' + chr(0b110001) + '\064' + chr(55), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2202 - 2152) + chr(0b101 + 0o61) + '\x35', 0b1000), nzTpIcepk0o8('\x30' + chr(11548 - 11437) + '\063' + chr(48) + chr(0b110000), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + chr(0b101 + 0o62) + chr(208 - 157), 0o10), nzTpIcepk0o8(chr(166 - 118) + chr(0b100011 + 0o114) + chr(50) + '\061' + '\x35', 0b1000), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(111) + chr(2327 - 2277) + '\063' + chr(0b101010 + 0o7), 22628 - 22620), nzTpIcepk0o8(chr(1473 - 1425) + chr(8062 - 7951) + chr(50) + chr(0b110011) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(51) + chr(0b110010) + chr(1182 - 1130), 44135 - 44127), nzTpIcepk0o8(chr(0b110000) + chr(0b11001 + 0o126) + '\x32' + chr(0b110100 + 0o3) + chr(0b110111), 16348 - 16340), nzTpIcepk0o8(chr(313 - 265) + chr(111) + chr(0b110001) + chr(0b11011 + 0o27) + chr(0b100111 + 0o17), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(315 - 266) + chr(559 - 509) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\x6f' + chr(0b110001) + chr(0b1010 + 0o51) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1111 + 0o140) + chr(0b110001) + chr(0b110111) + chr(2474 - 2422), 14943 - 14935), nzTpIcepk0o8(chr(1488 - 1440) + chr(0b1101111) + '\061' + chr(49) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(8425 - 8314) + chr(0b110010) + chr(0b110000) + chr(0b100011 + 0o20), 0o10), nzTpIcepk0o8('\060' + chr(0b110011 + 0o74) + chr(51) + chr(52) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(477 - 422) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b10101 + 0o35) + chr(48) + chr(51), 8), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + chr(0b110100) + chr(1653 - 1600), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\x31' + chr(1228 - 1175) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(5918 - 5807) + chr(0b110100) + chr(0b1010 + 0o53), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(50) + chr(0b110110), 0o10), nzTpIcepk0o8('\060' + chr(0b1100100 + 0o13) + chr(0b110001) + chr(821 - 773) + chr(0b101010 + 0o13), 0b1000), nzTpIcepk0o8(chr(2290 - 2242) + chr(0b1101111) + '\063' + '\x31' + '\061', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b111 + 0o54) + chr(0b110010) + chr(0b110110), 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b100100 + 0o17) + chr(2022 - 1974), 0o10), nzTpIcepk0o8(chr(0b10 + 0o56) + '\x6f' + chr(0b110001) + '\067' + chr(0b1111 + 0o46), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\x32' + chr(50) + chr(55), 0o10), nzTpIcepk0o8(chr(48) + chr(8350 - 8239) + chr(0b110011) + '\x36' + chr(53), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110111) + chr(52), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(2389 - 2278) + chr(0b110011 + 0o2) + '\060', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xaf'), chr(100) + '\x65' + chr(3257 - 3158) + chr(0b1101111) + chr(3536 - 3436) + chr(0b1000000 + 0o45))('\x75' + '\164' + chr(0b111000 + 0o56) + chr(45) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def kSA5I0U3G81y(O8r2UHaa8bX1, _Tdhz81JJZki=None, QBfjQWUv1QpJ=roI3spqORKae(ES5oEprVxulp(b'\xafm\xbe\x01\xe6\x89Q'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(0b101100 + 0o1) + chr(0b110011 + 0o5)), sEMjWh2y3Zic=None, WjMcPq2nC40V=MO4mmt5gs1mD, t9e1zzLI_Pqz=None, jFBPQaXXG__h=nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(48), 0o10)):
if sEMjWh2y3Zic == roI3spqORKae(ES5oEprVxulp(b'\xe5p\xab\x04\xed\x98\x0f\x95\n\xe4\x1e'), chr(0b110110 + 0o56) + chr(101) + '\143' + '\157' + chr(100) + '\x65')(chr(0b1010101 + 0o40) + chr(116) + '\x66' + chr(799 - 754) + chr(2567 - 2511)):
sEMjWh2y3Zic = QHubtiF9S5nF
O8r2UHaa8bX1 = LSQRPdli1Fxe(O8r2UHaa8bX1)
if _Tdhz81JJZki is None:
_Tdhz81JJZki = O8r2UHaa8bX1
else:
_Tdhz81JJZki = LSQRPdli1Fxe(_Tdhz81JJZki)
dnJhq8QfGTeo = O8r2UHaa8bX1 == _Tdhz81JJZki
with FYKEAdBNsyVH() as fIL2oZNHB0Ly:
G5sdcYD8auqD = {}
tv84I75c7ILi = s0pnpDWwX0By(sl4lpVyym_WD(fIL2oZNHB0Ly, roI3spqORKae(ES5oEprVxulp(b'\xf6a\xa2\x08\xe3'), chr(0b1000000 + 0o44) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(7078 - 6978) + chr(0b1100101))(chr(0b1110101) + chr(10582 - 10466) + chr(0b1100110) + chr(834 - 789) + '\x38')))
Hfe5kdxfywcg(O8r2UHaa8bX1, tv84I75c7ILi)
for WjFjgSZEwkEL in OkYC5cFOEF95(tv84I75c7ILi):
K5ZqFdGu7ZaF = sl4lpVyym_WD(WjFjgSZEwkEL, QBfjQWUv1QpJ)
tN2VkQHpFln3 = zSIynPuEvlQ4(K5ZqFdGu7ZaF)
jPOsceUSAO8e = cwUqyxxY64UI(WjFjgSZEwkEL, K5ZqFdGu7ZaF, sEMjWh2y3Zic, WjMcPq2nC40V)
if jPOsceUSAO8e and tN2VkQHpFln3:
raise oFbIZRcBTVOJ(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xfa9\xbaM\xee\x87P\x9f\x05\xec\x1e\x95\xa5\xc3\xe4\xea\xec\xa7\x9f?9x\x0b#\xe6\x87W\xa3\x87\x1cQ\xf6+\xac\xb3|]\xe3\x9a\x1c\xe2f\xb7\x14\xaf\x90\x13\x87'), '\x64' + chr(7092 - 6991) + chr(0b101100 + 0o67) + chr(0b1101111) + chr(100) + chr(0b1010011 + 0o22))(chr(7444 - 7327) + '\x74' + chr(10106 - 10004) + chr(0b101101) + chr(0b101000 + 0o20)), roI3spqORKae(ES5oEprVxulp(b'\xf0:\xf4&\xc8\xd8D\x955\xd7$\xff'), chr(3750 - 3650) + chr(101) + '\143' + chr(534 - 423) + chr(0b1100100) + chr(247 - 146))('\x75' + '\164' + '\146' + '\055' + '\070'))(K5ZqFdGu7ZaF, roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xba)'), '\144' + chr(101) + chr(1814 - 1715) + chr(111) + chr(0b100011 + 0o101) + chr(7578 - 7477))(chr(0b1110101) + chr(0b1110 + 0o146) + chr(2675 - 2573) + chr(1353 - 1308) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xd8=\xbe \xb6\xa9A\x9c0\xcb)\xc4'), chr(7726 - 7626) + '\x65' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(7360 - 7243) + chr(10794 - 10678) + chr(102) + chr(713 - 668) + chr(0b101010 + 0o16)))(jPOsceUSAO8e)))
if ftfygxgFas5X(roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'\xed`\xb4\x19\xeb\x82P'), chr(0b1100100) + chr(0b1010010 + 0o23) + '\143' + chr(0b100101 + 0o112) + '\x64' + chr(0b1100101))(chr(117) + chr(116) + chr(0b11000 + 0o116) + chr(45) + chr(56)))(K5ZqFdGu7ZaF)) == nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(208 - 160), 8):
roI3spqORKae(zcgTfC_NSHAo, roI3spqORKae(ES5oEprVxulp(b'\xf3d\xb3\x1f\xea\x8e'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1001101 + 0o50) + chr(0b1011111 + 0o25) + chr(0b1100110) + '\055' + '\x38'))(K5ZqFdGu7ZaF)
if t9e1zzLI_Pqz is not None:
LRsMQ5BDpXvq = not jFBPQaXXG__h
kUDeOOlzhZBC = VMVqPmw_aaCE(jPOsceUSAO8e, t9e1zzLI_Pqz, LRsMQ5BDpXvq)
if ftfygxgFas5X(kUDeOOlzhZBC) != nzTpIcepk0o8('\x30' + chr(111) + chr(750 - 702), 8):
if jFBPQaXXG__h:
v8jsMqaYV6U2(BkV8Ao8AL_Z6(kUDeOOlzhZBC, sl4lpVyym_WD(fIL2oZNHB0Ly, roI3spqORKae(ES5oEprVxulp(b'\xf6a\xa2\x08\xe3'), chr(8995 - 8895) + '\145' + chr(99) + '\x6f' + chr(6840 - 6740) + chr(5953 - 5852))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(855 - 799)))))
raise oFbIZRcBTVOJ(roI3spqORKae(ES5oEprVxulp(b'\xd2f\xaa\x08\xaf\x86K\x89\x17\xe1\t\xd2\xe0\xda\xff\xfa\xf0\xbd\xcb34,\t9\xe6\x91\x1b\xea\x8bIR\xbe \xac\xba'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(8544 - 8433) + chr(6446 - 6346) + '\145')('\165' + chr(0b1101010 + 0o12) + chr(6335 - 6233) + chr(0b101101) + chr(56)))
xm03SD3TG21P = _BjMhTtwyr2L + DPVLEmaCQeyq(WjFjgSZEwkEL, tv84I75c7ILi) + roI3spqORKae(ES5oEprVxulp(b'\xae'), chr(100) + chr(101) + '\143' + chr(111) + '\x64' + '\145')(chr(0b1110101) + '\x74' + '\x66' + '\x2d' + '\070')
for YUklLfuWb1Sj in jPOsceUSAO8e:
RiQVZ5Px8xpI = pLvIyXSV7qW5(YUklLfuWb1Sj)
h7fqvJHmRso6 = sl4lpVyym_WD(K5ZqFdGu7ZaF, RiQVZ5Px8xpI)
K8X9q2d129Q7(h7fqvJHmRso6, xm03SD3TG21P + RiQVZ5Px8xpI)
a0dB3PQI7yNE(h7fqvJHmRso6)
CGsRPqsqCMjv(G5sdcYD8auqD, jPOsceUSAO8e)
if ftfygxgFas5X(G5sdcYD8auqD):
ycUaqdYtjMBr(tv84I75c7ILi)
if ftfygxgFas5X(G5sdcYD8auqD) or not dnJhq8QfGTeo:
ekOVLiW654Wi(tv84I75c7ILi, _Tdhz81JJZki)
return vhhc4AyBKqL4(G5sdcYD8auqD, tv84I75c7ILi + roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\xc4H\xb1;\xf5\xack\x8c7\xbb\x0b\xec'), '\x64' + chr(0b1000110 + 0o37) + chr(0b1000000 + 0o43) + '\x6f' + '\144' + '\x65')(chr(2518 - 2401) + '\164' + chr(102) + chr(253 - 208) + chr(0b11010 + 0o36)))) |
matthew-brett/delocate | delocate/delocating.py | patch_wheel | def patch_wheel(in_wheel, patch_fname, out_wheel=None):
""" Apply ``-p1`` style patch in `patch_fname` to contents of `in_wheel`
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
patch_fname : str
Filename of patch file. Will be applied with ``patch -p1 <
patch_fname``
out_wheel : None or str
Filename of patched wheel to write. If None, overwrite `in_wheel`
"""
in_wheel = abspath(in_wheel)
patch_fname = abspath(patch_fname)
if out_wheel is None:
out_wheel = in_wheel
else:
out_wheel = abspath(out_wheel)
if not exists(patch_fname):
raise ValueError("patch file {0} does not exist".format(patch_fname))
with InWheel(in_wheel, out_wheel):
with open(patch_fname, 'rb') as fobj:
patch_proc = Popen(['patch', '-p1'],
stdin = fobj,
stdout = PIPE,
stderr = PIPE)
stdout, stderr = patch_proc.communicate()
if patch_proc.returncode != 0:
raise RuntimeError("Patch failed with stdout:\n" +
stdout.decode('latin1')) | python | def patch_wheel(in_wheel, patch_fname, out_wheel=None):
""" Apply ``-p1`` style patch in `patch_fname` to contents of `in_wheel`
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
patch_fname : str
Filename of patch file. Will be applied with ``patch -p1 <
patch_fname``
out_wheel : None or str
Filename of patched wheel to write. If None, overwrite `in_wheel`
"""
in_wheel = abspath(in_wheel)
patch_fname = abspath(patch_fname)
if out_wheel is None:
out_wheel = in_wheel
else:
out_wheel = abspath(out_wheel)
if not exists(patch_fname):
raise ValueError("patch file {0} does not exist".format(patch_fname))
with InWheel(in_wheel, out_wheel):
with open(patch_fname, 'rb') as fobj:
patch_proc = Popen(['patch', '-p1'],
stdin = fobj,
stdout = PIPE,
stderr = PIPE)
stdout, stderr = patch_proc.communicate()
if patch_proc.returncode != 0:
raise RuntimeError("Patch failed with stdout:\n" +
stdout.decode('latin1')) | [
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"=",
"abspath",
"(",
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")",
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":",
"out_wheel",
... | Apply ``-p1`` style patch in `patch_fname` to contents of `in_wheel`
If `out_wheel` is None (the default), overwrite the wheel `in_wheel`
in-place.
Parameters
----------
in_wheel : str
Filename of wheel to process
patch_fname : str
Filename of patch file. Will be applied with ``patch -p1 <
patch_fname``
out_wheel : None or str
Filename of patched wheel to write. If None, overwrite `in_wheel` | [
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/delocating.py#L410-L443 | train | Apply - p1 style patch in patch_fname to contents of in_wheel and write out_wheel. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1681 - 1633) + chr(10596 - 10485) + chr(0b100111 + 0o12) + '\063' + chr(0b101011 + 0o13), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(0b110001) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(563 - 515) + '\x6f' + chr(49) + chr(2268 - 2217) + '\062', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\x32' + chr(1091 - 1042) + '\064', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1073 - 1023) + '\x31' + '\062', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + chr(48) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(1553 - 1505) + chr(11629 - 11518) + chr(288 - 239) + '\066' + '\x32', 0b1000), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(0b1000001 + 0o56) + chr(657 - 606) + '\x36' + '\063', 22602 - 22594), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + chr(0b101111 + 0o1) + '\061', 14614 - 14606), nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + chr(0b1 + 0o61) + chr(0b101010 + 0o13), 34596 - 34588), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(1037 - 984) + '\061', 46080 - 46072), nzTpIcepk0o8(chr(1652 - 1604) + chr(311 - 200) + '\062' + '\061' + chr(0b100101 + 0o14), 0o10), nzTpIcepk0o8(chr(2275 - 2227) + '\157' + chr(0b110010) + chr(1847 - 1797), 0o10), nzTpIcepk0o8('\060' + chr(2894 - 2783) + chr(53) + '\062', 0b1000), nzTpIcepk0o8('\060' + chr(0b1000010 + 0o55) + chr(0b100101 + 0o14) + chr(55) + chr(1848 - 1800), 19136 - 19128), nzTpIcepk0o8(chr(1665 - 1617) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(2134 - 2081), 0o10), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(0b1101111) + chr(1135 - 1084) + chr(0b100111 + 0o16) + '\060', 46675 - 46667), nzTpIcepk0o8('\x30' + chr(0b1011100 + 0o23) + chr(0b110011) + '\066' + chr(1977 - 1927), 18615 - 18607), nzTpIcepk0o8(chr(1517 - 1469) + chr(111) + '\x33' + chr(50) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + chr(10123 - 10012) + chr(0b10 + 0o60) + chr(0b111 + 0o56) + chr(0b11110 + 0o30), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110011) + '\062' + '\x34', 46749 - 46741), nzTpIcepk0o8(chr(1849 - 1801) + chr(111) + '\x32' + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b10100 + 0o36) + '\065' + chr(896 - 848), 34816 - 34808), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b110001) + chr(0b11 + 0o63), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\067' + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(1421 - 1373) + chr(9693 - 9582) + chr(0b0 + 0o62) + chr(0b110011) + chr(0b100111 + 0o17), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110 + 0o60) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b10110 + 0o32) + '\x6f' + '\063' + chr(0b101011 + 0o10), 39531 - 39523), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110010) + chr(50) + '\060', 46127 - 46119), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(472 - 423) + chr(0b1111 + 0o50) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(193 - 144) + chr(0b1101 + 0o46) + chr(54), 8), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(0b1010000 + 0o37) + chr(243 - 190) + '\064', ord("\x08")), nzTpIcepk0o8(chr(1320 - 1272) + chr(3617 - 3506) + '\063' + chr(0b101111 + 0o1) + '\065', 527 - 519), nzTpIcepk0o8(chr(145 - 97) + chr(0b1100 + 0o143) + '\062' + chr(2357 - 2302) + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1247 - 1196) + '\x37' + '\064', 63955 - 63947), nzTpIcepk0o8(chr(1851 - 1803) + '\157' + '\x31' + '\x37' + chr(52), 0o10), nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(111) + chr(49) + '\065' + chr(0b110111), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + '\067' + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + chr(6857 - 6746) + chr(0b100000 + 0o22) + '\062' + chr(0b11101 + 0o23), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(104 - 51) + chr(0b110000), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'p'), chr(0b1011101 + 0o7) + '\x65' + chr(99) + chr(3094 - 2983) + chr(100) + '\145')('\165' + chr(0b101101 + 0o107) + chr(102) + '\055' + chr(0b110001 + 0o7)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def fHfWG4k16QUT(O8r2UHaa8bX1, P7GV4Vk0ICeS, _Tdhz81JJZki=None):
O8r2UHaa8bX1 = LSQRPdli1Fxe(O8r2UHaa8bX1)
P7GV4Vk0ICeS = LSQRPdli1Fxe(P7GV4Vk0ICeS)
if _Tdhz81JJZki is None:
_Tdhz81JJZki = O8r2UHaa8bX1
else:
_Tdhz81JJZki = LSQRPdli1Fxe(_Tdhz81JJZki)
if not zSIynPuEvlQ4(P7GV4Vk0ICeS):
raise WbNHlDKpyPtQ(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'.\xac.\xef\xe2b\x14\x9a\xadp?R\xb9o\n\x1c\xb2\x8d\x81\xf0\xc0\xbbg\x88\xabE\xf7@o'), chr(0b111010 + 0o52) + '\145' + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(0b1100100) + chr(0b1000101 + 0o40))('\x75' + chr(0b1110100) + chr(102) + chr(1603 - 1558) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'/\xfei\xc7\xcdq\x14\x9c\x90J\\c'), chr(0b1011101 + 0o7) + chr(0b1100101) + chr(1447 - 1348) + chr(0b1101111) + '\144' + chr(0b110100 + 0o61))(chr(0b1110101) + '\164' + chr(5769 - 5667) + '\055' + '\070'))(P7GV4Vk0ICeS))
with jS9EXfDIjKrl(O8r2UHaa8bX1, _Tdhz81JJZki):
with DnU3Rq9N5ala(P7GV4Vk0ICeS, roI3spqORKae(ES5oEprVxulp(b',\xaf'), chr(0b101110 + 0o66) + '\145' + '\x63' + chr(0b0 + 0o157) + '\144' + '\x65')('\165' + '\x74' + '\x66' + '\x2d' + '\070')) as ur0F3xtLau25:
rsUtfMQA0fB6 = Lp1bJm77Kt5i([roI3spqORKae(ES5oEprVxulp(b'.\xac.\xef\xe2'), '\x64' + chr(0b1110 + 0o127) + chr(99) + '\x6f' + chr(0b110101 + 0o57) + chr(0b1000101 + 0o40))(chr(117) + '\x74' + '\x66' + '\x2d' + chr(56)), roI3spqORKae(ES5oEprVxulp(b's\xbdk'), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')('\x75' + '\x74' + '\x66' + '\055' + chr(1187 - 1131))], stdin=ur0F3xtLau25, stdout=fBz5PzJLazsE, stderr=fBz5PzJLazsE)
(E4teKT3YJIcH, oR3tAsnOApmF) = rsUtfMQA0fB6.do6j1SQmkVrY()
if roI3spqORKae(rsUtfMQA0fB6, roI3spqORKae(ES5oEprVxulp(b',\xa8.\xf9\xf8,\x11\x9c\xa5p'), '\144' + chr(101) + chr(99) + chr(0b10100 + 0o133) + '\144' + chr(5183 - 5082))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101000 + 0o5) + chr(0b11 + 0o65))) != nzTpIcepk0o8('\060' + '\x6f' + chr(439 - 391), 0o10):
raise _1qUu0gKi9gH(roI3spqORKae(ES5oEprVxulp(b'\x0e\xac.\xef\xe2b\x14\x92\xa8yzM\xa9eC\x0c\xb5\xc8\x81\xa4\xca\xbbf\xdc\xf47'), chr(8420 - 8320) + chr(0b1100101) + chr(0b1000000 + 0o43) + chr(111) + '\144' + chr(3231 - 3130))(chr(117) + chr(116) + chr(1275 - 1173) + chr(0b101101) + chr(1939 - 1883)) + roI3spqORKae(E4teKT3YJIcH, roI3spqORKae(ES5oEprVxulp(b'2\xab8\xca\xf9&%\x9f\x95&Rk'), chr(9733 - 9633) + chr(0b10001 + 0o124) + chr(7176 - 7077) + '\x6f' + chr(0b1100100) + '\145')(chr(7967 - 7850) + chr(116) + '\146' + '\x2d' + '\x38'))(roI3spqORKae(ES5oEprVxulp(b'2\xac.\xe5\xe4s'), '\144' + chr(6858 - 6757) + chr(0b1100011) + '\x6f' + '\144' + '\x65')('\x75' + '\164' + '\x66' + '\x2d' + chr(0b1011 + 0o55)))) |
matthew-brett/delocate | delocate/delocating.py | check_archs | def check_archs(copied_libs, require_archs=(), stop_fast=False):
""" Check compatibility of archs in `copied_libs` dict
Parameters
----------
copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that has been copied during delocation, and ``dependings_dict`` is a
dictionary with key, value pairs where the key is a path in the target
being delocated (a wheel or path) depending on ``copied_lib_path``, and
the value is the ``install_name`` of ``copied_lib_path`` in the
depending library.
require_archs : str or sequence, optional
Architectures we require to be present in all library files in wheel.
If an empty sequence, just check that depended libraries do have the
architectures of the depending libraries, with no constraints on what
these architectures are. If a sequence, then a set of required
architectures e.g. ``['i386', 'x86_64']`` to specify dual Intel
architectures. If a string, then a standard architecture name as
returned by ``lipo -info`` or the string "intel", corresponding to the
sequence ``['i386', 'x86_64']``
stop_fast : bool, optional
Whether to give up collecting errors after the first
Returns
-------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
required.
"""
if isinstance(require_archs, string_types):
require_archs = (['i386', 'x86_64'] if require_archs == 'intel'
else [require_archs])
require_archs = frozenset(require_archs)
bads = []
for depended_lib, dep_dict in copied_libs.items():
depended_archs = get_archs(depended_lib)
for depending_lib, install_name in dep_dict.items():
depending_archs = get_archs(depending_lib)
all_required = depending_archs | require_archs
all_missing = all_required.difference(depended_archs)
if len(all_missing) == 0:
continue
required_missing = require_archs.difference(depended_archs)
if len(required_missing):
bads.append((depending_lib, required_missing))
else:
bads.append((depended_lib, depending_lib, all_missing))
if stop_fast:
return set(bads)
return set(bads) | python | def check_archs(copied_libs, require_archs=(), stop_fast=False):
""" Check compatibility of archs in `copied_libs` dict
Parameters
----------
copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that has been copied during delocation, and ``dependings_dict`` is a
dictionary with key, value pairs where the key is a path in the target
being delocated (a wheel or path) depending on ``copied_lib_path``, and
the value is the ``install_name`` of ``copied_lib_path`` in the
depending library.
require_archs : str or sequence, optional
Architectures we require to be present in all library files in wheel.
If an empty sequence, just check that depended libraries do have the
architectures of the depending libraries, with no constraints on what
these architectures are. If a sequence, then a set of required
architectures e.g. ``['i386', 'x86_64']`` to specify dual Intel
architectures. If a string, then a standard architecture name as
returned by ``lipo -info`` or the string "intel", corresponding to the
sequence ``['i386', 'x86_64']``
stop_fast : bool, optional
Whether to give up collecting errors after the first
Returns
-------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
required.
"""
if isinstance(require_archs, string_types):
require_archs = (['i386', 'x86_64'] if require_archs == 'intel'
else [require_archs])
require_archs = frozenset(require_archs)
bads = []
for depended_lib, dep_dict in copied_libs.items():
depended_archs = get_archs(depended_lib)
for depending_lib, install_name in dep_dict.items():
depending_archs = get_archs(depending_lib)
all_required = depending_archs | require_archs
all_missing = all_required.difference(depended_archs)
if len(all_missing) == 0:
continue
required_missing = require_archs.difference(depended_archs)
if len(required_missing):
bads.append((depending_lib, required_missing))
else:
bads.append((depended_lib, depending_lib, all_missing))
if stop_fast:
return set(bads)
return set(bads) | [
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Parameters
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copied_libs : dict
dict containing the (key, value) pairs of (``copied_lib_path``,
``dependings_dict``), where ``copied_lib_path`` is a library real path
that has been copied during delocation, and ``dependings_dict`` is a
dictionary with key, value pairs where the key is a path in the target
being delocated (a wheel or path) depending on ``copied_lib_path``, and
the value is the ``install_name`` of ``copied_lib_path`` in the
depending library.
require_archs : str or sequence, optional
Architectures we require to be present in all library files in wheel.
If an empty sequence, just check that depended libraries do have the
architectures of the depending libraries, with no constraints on what
these architectures are. If a sequence, then a set of required
architectures e.g. ``['i386', 'x86_64']`` to specify dual Intel
architectures. If a string, then a standard architecture name as
returned by ``lipo -info`` or the string "intel", corresponding to the
sequence ``['i386', 'x86_64']``
stop_fast : bool, optional
Whether to give up collecting errors after the first
Returns
-------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b10011 + 0o134) + '\061' + chr(0b110001) + chr(0b110010 + 0o1), 59125 - 59117), nzTpIcepk0o8('\060' + '\157' + '\x32' + chr(0b110001) + chr(0b1001 + 0o53), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\062' + chr(54) + '\067', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31' + '\064' + chr(931 - 878), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + '\063' + chr(0b1110 + 0o46), 0o10), nzTpIcepk0o8(chr(48) + chr(5220 - 5109) + chr(862 - 812) + chr(1858 - 1805) + '\065', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(0b110001) + '\x30', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1100 + 0o143) + chr(50) + chr(1408 - 1356) + chr(49), 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + '\157' + '\061' + chr(0b110110) + '\065', 15330 - 15322), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010) + chr(54) + chr(54), 53376 - 53368), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31' + chr(53), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(1190 - 1136) + chr(0b1111 + 0o43), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(3349 - 3238) + chr(0b110001) + chr(0b100010 + 0o21) + chr(1315 - 1264), ord("\x08")), nzTpIcepk0o8(chr(510 - 462) + chr(2392 - 2281) + '\061' + chr(0b110101) + chr(0b1100 + 0o51), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + chr(1356 - 1307) + chr(0b10101 + 0o40), ord("\x08")), nzTpIcepk0o8(chr(1059 - 1011) + '\x6f' + chr(0b11001 + 0o30) + chr(49) + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(876 - 827) + '\x33' + chr(0b110010 + 0o0), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1100 + 0o143) + '\061' + '\x33' + chr(325 - 275), 8), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(0b110110) + chr(55), 0o10), nzTpIcepk0o8('\x30' + chr(11891 - 11780) + '\x31' + chr(0b110011) + chr(51), 8), nzTpIcepk0o8(chr(612 - 564) + chr(0b1000100 + 0o53) + chr(0b110001) + chr(0b11110 + 0o30) + chr(53), 8), nzTpIcepk0o8(chr(1030 - 982) + '\157' + chr(0b110010) + chr(52) + chr(50), 27112 - 27104), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b101011 + 0o10) + '\062' + '\061', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x34' + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + chr(5243 - 5132) + '\063' + chr(2452 - 2402) + '\067', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(212 - 163) + chr(0b110000) + chr(2944 - 2889), 0b1000), nzTpIcepk0o8(chr(1594 - 1546) + chr(6773 - 6662) + '\062' + chr(0b110011) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(1432 - 1384) + chr(8327 - 8216) + chr(0b110010) + chr(0b110010 + 0o1) + chr(343 - 292), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\062' + chr(2493 - 2440) + '\062', 46725 - 46717), nzTpIcepk0o8(chr(0b10110 + 0o32) + '\157' + '\063' + '\060' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1011111 + 0o20) + chr(1307 - 1256) + chr(0b110000) + '\x34', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101100 + 0o3) + '\x34' + chr(2059 - 2009), 60114 - 60106), nzTpIcepk0o8('\060' + '\157' + chr(0b11001 + 0o32) + '\062' + '\062', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + chr(54) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(5968 - 5857) + chr(0b101111 + 0o3) + chr(0b110011) + chr(0b110101), 0o10), nzTpIcepk0o8('\060' + chr(111) + '\063' + chr(2306 - 2254) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b101000 + 0o10) + '\x6f' + chr(290 - 239) + '\x32' + chr(1047 - 993), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + chr(0b10111 + 0o33) + chr(2521 - 2470), 16043 - 16035), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(0b110000) + chr(0b110111), 8), nzTpIcepk0o8('\060' + chr(0b110 + 0o151) + '\x31' + chr(0b11010 + 0o31) + chr(0b110111), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1111 + 0o140) + chr(199 - 146) + chr(0b1110 + 0o42), 20407 - 20399)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'e'), chr(0b1100100) + chr(0b1011101 + 0o10) + '\x63' + '\157' + chr(100) + chr(0b1100101))('\165' + chr(2714 - 2598) + chr(0b101 + 0o141) + chr(0b1110 + 0o37) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def VMVqPmw_aaCE(jPOsceUSAO8e, t9e1zzLI_Pqz=(), LRsMQ5BDpXvq=nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1101111) + '\x30', 49042 - 49034)):
if suIjIS24Zkqw(t9e1zzLI_Pqz, Q9V5WOaImAwl):
t9e1zzLI_Pqz = [roI3spqORKae(ES5oEprVxulp(b'"\xbf\x8fS'), '\144' + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(4510 - 4394) + chr(0b1100110) + chr(0b11101 + 0o20) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'3\xb4\x81:\xaa\x99'), chr(0b111001 + 0o53) + chr(0b11001 + 0o114) + chr(8586 - 8487) + '\x6f' + chr(3103 - 3003) + '\x65')(chr(0b1110101) + chr(0b1011010 + 0o32) + chr(0b1101 + 0o131) + '\055' + chr(3122 - 3066))] if t9e1zzLI_Pqz == roI3spqORKae(ES5oEprVxulp(b'"\xe2\xc3\x00\xf0'), chr(100) + '\x65' + chr(0b101101 + 0o66) + '\x6f' + chr(0b1100100) + chr(2905 - 2804))(chr(0b10001 + 0o144) + '\x74' + chr(7884 - 7782) + chr(45) + chr(56)) else [t9e1zzLI_Pqz]
t9e1zzLI_Pqz = PNaRkv8AjHWU(t9e1zzLI_Pqz)
kUDeOOlzhZBC = []
for (gaTAPPYRBXJ2, vt9K2HYWEraY) in roI3spqORKae(jPOsceUSAO8e, roI3spqORKae(ES5oEprVxulp(b'\x12\xd3\xd9+\xd9\xd7\x80\x95F\xc0U['), chr(2366 - 2266) + chr(101) + chr(5894 - 5795) + chr(111) + chr(100) + '\x65')(chr(0b110100 + 0o101) + '\164' + chr(9125 - 9023) + '\x2d' + '\x38'))():
o_N8RxuJdNv1 = g6lJAJCSDrb5(gaTAPPYRBXJ2)
for (GrZ4HWvGCBla, UKtObLqaCmKP) in roI3spqORKae(vt9K2HYWEraY, roI3spqORKae(ES5oEprVxulp(b'\x12\xd3\xd9+\xd9\xd7\x80\x95F\xc0U['), chr(0b1011011 + 0o11) + chr(0b1100101 + 0o0) + chr(99) + chr(111) + chr(100) + '\145')(chr(0b1101111 + 0o6) + chr(0b1101100 + 0o10) + chr(0b1000011 + 0o43) + chr(0b11000 + 0o25) + chr(56)))():
mlYInnT_fjpI = g6lJAJCSDrb5(GrZ4HWvGCBla)
snDRxCjadNKZ = mlYInnT_fjpI | t9e1zzLI_Pqz
_c4GsCB2N78G = snDRxCjadNKZ.difference(o_N8RxuJdNv1)
if ftfygxgFas5X(_c4GsCB2N78G) == nzTpIcepk0o8('\x30' + chr(1193 - 1082) + chr(48), 8):
continue
BkkJEMwuYvWb = t9e1zzLI_Pqz.difference(o_N8RxuJdNv1)
if ftfygxgFas5X(BkkJEMwuYvWb):
roI3spqORKae(kUDeOOlzhZBC, roI3spqORKae(ES5oEprVxulp(b'\x03\xd8\xe4Q\xe4\xca\x8f\xce\x1f\xd9X\x07'), chr(0b1100100) + '\145' + '\143' + '\x6f' + '\144' + '\x65')(chr(7775 - 7658) + '\164' + '\146' + '\x2d' + chr(223 - 167)))((GrZ4HWvGCBla, BkkJEMwuYvWb))
else:
roI3spqORKae(kUDeOOlzhZBC, roI3spqORKae(ES5oEprVxulp(b'\x03\xd8\xe4Q\xe4\xca\x8f\xce\x1f\xd9X\x07'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1010 + 0o145) + '\144' + chr(0b1100101))(chr(0b11101 + 0o130) + chr(0b1110100) + chr(9974 - 9872) + '\x2d' + chr(0b101100 + 0o14)))((gaTAPPYRBXJ2, GrZ4HWvGCBla, _c4GsCB2N78G))
if LRsMQ5BDpXvq:
return Bvi71nNyvlqO(kUDeOOlzhZBC)
return Bvi71nNyvlqO(kUDeOOlzhZBC) |
matthew-brett/delocate | delocate/delocating.py | bads_report | def bads_report(bads, path_prefix=None):
""" Return a nice report of bad architectures in `bads`
Parameters
----------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
required.
path_prefix : None or str, optional
Path prefix to strip from ``depended_lib`` and ``depending_lib``. None
means do not strip anything.
Returns
-------
report : str
A nice report for printing
"""
path_processor = ((lambda x : x) if path_prefix is None
else get_rp_stripper(path_prefix))
reports = []
for result in bads:
if len(result) == 3:
depended_lib, depending_lib, missing_archs = result
reports.append("{0} needs {1} {2} missing from {3}".format(
path_processor(depending_lib),
'archs' if len(missing_archs) > 1 else 'arch',
', '.join(sorted(missing_archs)),
path_processor(depended_lib)))
elif len(result) == 2:
depending_lib, missing_archs = result
reports.append("Required {0} {1} missing from {2}".format(
'archs' if len(missing_archs) > 1 else 'arch',
', '.join(sorted(missing_archs)),
path_processor(depending_lib)))
else:
raise ValueError('Report tuple should be length 2 or 3')
return '\n'.join(sorted(reports)) | python | def bads_report(bads, path_prefix=None):
""" Return a nice report of bad architectures in `bads`
Parameters
----------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
required.
path_prefix : None or str, optional
Path prefix to strip from ``depended_lib`` and ``depending_lib``. None
means do not strip anything.
Returns
-------
report : str
A nice report for printing
"""
path_processor = ((lambda x : x) if path_prefix is None
else get_rp_stripper(path_prefix))
reports = []
for result in bads:
if len(result) == 3:
depended_lib, depending_lib, missing_archs = result
reports.append("{0} needs {1} {2} missing from {3}".format(
path_processor(depending_lib),
'archs' if len(missing_archs) > 1 else 'arch',
', '.join(sorted(missing_archs)),
path_processor(depended_lib)))
elif len(result) == 2:
depending_lib, missing_archs = result
reports.append("Required {0} {1} missing from {2}".format(
'archs' if len(missing_archs) > 1 else 'arch',
', '.join(sorted(missing_archs)),
path_processor(depending_lib)))
else:
raise ValueError('Report tuple should be length 2 or 3')
return '\n'.join(sorted(reports)) | [
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... | Return a nice report of bad architectures in `bads`
Parameters
----------
bads : set
set of length 2 or 3 tuples. A length 2 tuple is of form
``(depending_lib, missing_archs)`` meaning that an arch in
`require_archs` was missing from ``depending_lib``. A length 3 tuple
is of form ``(depended_lib, depending_lib, missing_archs)`` where
``depended_lib`` is the filename of the library depended on,
``depending_lib`` is the library depending on ``depending_lib`` and
``missing_archs`` is a set of missing architecture strings giving
architectures present in ``depending_lib`` and missing in
``depended_lib``. An empty set means all architectures were present as
required.
path_prefix : None or str, optional
Path prefix to strip from ``depended_lib`` and ``depending_lib``. None
means do not strip anything.
Returns
-------
report : str
A nice report for printing | [
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/delocating.py#L508-L552 | train | Return a nice report of bad architectures in a set of bads. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(111) + chr(0b110010) + chr(55) + '\066', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + '\063' + '\064' + '\x34', 14295 - 14287), nzTpIcepk0o8(chr(48) + chr(4200 - 4089) + '\x32' + '\065', 2202 - 2194), nzTpIcepk0o8(chr(48) + '\x6f' + chr(2295 - 2246) + chr(1321 - 1273) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110010) + '\066' + chr(0b11001 + 0o36), 57897 - 57889), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + '\x33', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b11 + 0o57) + '\064' + chr(0b10000 + 0o47), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b100100 + 0o20) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(10539 - 10428) + chr(49) + chr(54) + chr(919 - 871), ord("\x08")), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(111) + '\x31' + chr(1690 - 1638) + '\x37', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(53), ord("\x08")), nzTpIcepk0o8('\x30' + chr(9990 - 9879) + chr(865 - 815) + '\x33', 8), nzTpIcepk0o8('\060' + '\157' + chr(1265 - 1216) + chr(0b100110 + 0o15) + '\062', 61924 - 61916), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010 + 0o3) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b100110 + 0o14) + chr(1892 - 1838) + '\x32', 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\063' + chr(50) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1010000 + 0o37) + chr(0b100011 + 0o20) + chr(0b110000) + '\x33', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + chr(53) + chr(48), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110111) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(1768 - 1720) + chr(111) + chr(0b110011) + '\x33' + chr(0b110000), 0o10), nzTpIcepk0o8(chr(1174 - 1126) + chr(111) + chr(0b110111) + chr(51), 0o10), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b1101111) + chr(49) + chr(1104 - 1049) + chr(52), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x34' + chr(0b110 + 0o56), 0b1000), nzTpIcepk0o8(chr(48) + chr(11457 - 11346) + '\x32' + chr(0b110011) + chr(1221 - 1173), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31' + chr(0b100100 + 0o15) + '\x32', 34171 - 34163), nzTpIcepk0o8(chr(60 - 12) + chr(111) + chr(0b10001 + 0o40) + '\x36' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b11110 + 0o121) + '\061' + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b10110 + 0o35) + '\x35' + chr(467 - 416), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(253 - 142) + chr(50) + '\x34' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b101010 + 0o6) + '\x6f' + chr(51) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(111) + '\x33' + chr(0b1101 + 0o44) + chr(1966 - 1916), 0b1000), nzTpIcepk0o8(chr(871 - 823) + chr(0b10011 + 0o134) + '\063' + '\063' + '\x30', 8), nzTpIcepk0o8('\060' + '\x6f' + chr(49) + chr(54) + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1100000 + 0o17) + '\x33' + '\061' + chr(1188 - 1134), 9432 - 9424), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(0b110011) + chr(51), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(757 - 703) + chr(48), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(726 - 615) + chr(0b11 + 0o64) + chr(2495 - 2441), 10457 - 10449), nzTpIcepk0o8('\x30' + chr(0b1101100 + 0o3) + chr(2766 - 2711) + chr(1832 - 1777), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + chr(0b100100 + 0o14) + chr(560 - 506), 0o10), nzTpIcepk0o8(chr(0b100011 + 0o15) + '\157' + '\063' + '\067', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1010001 + 0o36) + '\x35' + '\060', 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x90'), chr(0b1100100) + chr(101) + chr(5985 - 5886) + '\x6f' + chr(0b1100100) + chr(101))('\165' + chr(0b111101 + 0o67) + '\x66' + chr(0b101101) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def BkV8Ao8AL_Z6(kUDeOOlzhZBC, Vw0nMJ2Q3HPn=None):
OfZsT674JFgZ = (lambda bI5jsQ9OkQtj: bI5jsQ9OkQtj) if Vw0nMJ2Q3HPn is None else urmbK0K1qRPG(Vw0nMJ2Q3HPn)
A4fzgfPxyHvv = []
for POx95m7SPOVy in kUDeOOlzhZBC:
if ftfygxgFas5X(POx95m7SPOVy) == nzTpIcepk0o8('\060' + '\x6f' + '\063', 0o10):
(gaTAPPYRBXJ2, GrZ4HWvGCBla, alGVfjbH_hOR) = POx95m7SPOVy
roI3spqORKae(A4fzgfPxyHvv, roI3spqORKae(ES5oEprVxulp(b'\xf6\xb0Fp\xcft\xe0I\x1a\x08P&'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1111 + 0o126))('\x75' + chr(2263 - 2147) + chr(102) + chr(0b101101) + chr(56)))(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xc5\xd4hd\xd9v\xc2B\x03G~"\'\x08\xc9\xe7\xbeHW\xb1H\x0fM\xf6-Sm\x99\xc9u\xea\xa3E\xb3'), chr(4003 - 3903) + chr(0b1100101) + chr(99) + chr(8748 - 8637) + chr(184 - 84) + chr(0b1100101))(chr(3867 - 3750) + '\164' + '\146' + '\055' + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xcf\xd7&\x0f\xf0 \xc1I!8FY'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b111 + 0o156) + chr(116) + '\x66' + chr(0b100111 + 0o6) + '\x38'))(OfZsT674JFgZ(GrZ4HWvGCBla), roI3spqORKae(ES5oEprVxulp(b'\xdf\x96v,\xc4'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b101110 + 0o101) + chr(7760 - 7660) + chr(0b101010 + 0o73))(chr(0b1110101) + chr(0b1001 + 0o153) + chr(0b1100110) + '\055' + chr(0b111000)) if ftfygxgFas5X(alGVfjbH_hOR) > nzTpIcepk0o8('\060' + chr(616 - 505) + chr(0b110001), 0o10) else roI3spqORKae(ES5oEprVxulp(b'\xdf\x96v,'), chr(0b100001 + 0o103) + chr(2035 - 1934) + chr(0b1100011) + chr(111) + chr(0b1000111 + 0o35) + chr(101))(chr(0b1110101) + chr(12236 - 12120) + '\x66' + chr(0b101101) + '\x38'), roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\x92\xc4'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(7825 - 7714) + chr(0b11111 + 0o105) + '\x65')(chr(0b111 + 0o156) + chr(0b11110 + 0o126) + chr(0b1100110) + chr(45) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xe7\xd0l\t\x8eQ\xc4@$$Kb'), '\x64' + chr(1730 - 1629) + chr(6107 - 6008) + chr(0b100010 + 0o115) + chr(100) + chr(101))(chr(117) + chr(11983 - 11867) + chr(10056 - 9954) + chr(1481 - 1436) + chr(0b111000)))(V3OlOVg98A85(alGVfjbH_hOR)), OfZsT674JFgZ(gaTAPPYRBXJ2)))
elif ftfygxgFas5X(POx95m7SPOVy) == nzTpIcepk0o8('\060' + '\x6f' + '\062', 38140 - 38132):
(GrZ4HWvGCBla, alGVfjbH_hOR) = POx95m7SPOVy
roI3spqORKae(A4fzgfPxyHvv, roI3spqORKae(ES5oEprVxulp(b'\xf6\xb0Fp\xcft\xe0I\x1a\x08P&'), chr(100) + chr(101) + chr(2763 - 2664) + '\157' + '\x64' + chr(0b1100101))(chr(0b1000011 + 0o62) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)))(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xec\x81d1\xdea\xc2BP\x1c5nzS\x83\xa8\xe3\x05S\xabH\x15J\xffj\x15y\x84\xcb8\xb1\xea\x0b'), '\144' + '\x65' + chr(0b1000 + 0o133) + chr(1268 - 1157) + chr(0b1100100) + '\x65')(chr(117) + chr(0b1111 + 0o145) + chr(0b1100110) + chr(0b1 + 0o54) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xcf\xd7&\x0f\xf0 \xc1I!8FY'), chr(0b1100000 + 0o4) + chr(7200 - 7099) + '\143' + chr(7612 - 7501) + chr(0b111100 + 0o50) + chr(4788 - 4687))('\x75' + chr(116) + chr(0b1000111 + 0o37) + '\055' + chr(253 - 197)))(roI3spqORKae(ES5oEprVxulp(b'\xdf\x96v,\xc4'), chr(100) + chr(0b11111 + 0o106) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(2044 - 1942) + '\x2d' + chr(0b11010 + 0o36)) if ftfygxgFas5X(alGVfjbH_hOR) > nzTpIcepk0o8('\060' + chr(111) + chr(49), 8) else roI3spqORKae(ES5oEprVxulp(b'\xdf\x96v,'), chr(100) + '\145' + '\143' + '\157' + chr(2017 - 1917) + '\x65')(chr(0b1110101) + chr(10601 - 10485) + '\146' + '\055' + chr(0b111000)), roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\x92\xc4'), '\x64' + chr(101) + chr(8684 - 8585) + '\157' + '\x64' + '\x65')(chr(0b1100000 + 0o25) + '\x74' + chr(102) + chr(0b11101 + 0o20) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xe7\xd0l\t\x8eQ\xc4@$$Kb'), '\x64' + chr(0b1100101) + chr(4169 - 4070) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(0b101000 + 0o5) + '\x38'))(V3OlOVg98A85(alGVfjbH_hOR)), OfZsT674JFgZ(GrZ4HWvGCBla)))
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xec\x81e+\xc5g\x87R\x05\x17ivz[\xda\xba\xb6\x04^\xf8Y\x19\x04\xf4/\x1dl\x9f\xce8\xf8\xf8\x19\xbc\xfb\x03'), '\x64' + chr(101) + chr(0b1100011) + chr(2900 - 2789) + chr(100) + chr(3226 - 3125))(chr(117) + chr(7865 - 7749) + '\146' + chr(0b11111 + 0o16) + chr(0b111000)))
return roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xb4'), chr(0b10000 + 0o124) + chr(2939 - 2838) + '\143' + chr(10178 - 10067) + '\x64' + chr(4580 - 4479))('\x75' + chr(116) + chr(977 - 875) + chr(0b10 + 0o53) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\xe7\xd0l\t\x8eQ\xc4@$$Kb'), chr(3236 - 3136) + '\x65' + '\143' + '\157' + chr(0b110010 + 0o62) + chr(0b1100101))(chr(0b1000101 + 0o60) + '\x74' + chr(0b1010111 + 0o17) + '\x2d' + '\070'))(V3OlOVg98A85(A4fzgfPxyHvv)) |
matthew-brett/delocate | delocate/libsana.py | tree_libs | def tree_libs(start_path, filt_func=None):
""" Return analysis of library dependencies within `start_path`
Parameters
----------
start_path : str
root path of tree to search for libraries depending on other libraries.
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
file, False otherwise.
Returns
-------
lib_dict : dict
dictionary with (key, value) pairs of (``libpath``,
``dependings_dict``).
``libpath`` is canonical (``os.path.realpath``) filename of library, or
library name starting with {'@rpath', '@loader_path',
'@executable_path'}.
``dependings_dict`` is a dict with (key, value) pairs of
(``depending_libpath``, ``install_name``), where ``dependings_libpath``
is the canonical (``os.path.realpath``) filename of the library
depending on ``libpath``, and ``install_name`` is the "install_name" by
which ``depending_libpath`` refers to ``libpath``.
Notes
-----
See:
* https://developer.apple.com/library/mac/documentation/Darwin/Reference/ManPages/man1/dyld.1.html
* http://matthew-brett.github.io/pydagogue/mac_runtime_link.html
"""
lib_dict = {}
for dirpath, dirnames, basenames in os.walk(start_path):
for base in basenames:
depending_libpath = realpath(pjoin(dirpath, base))
if not filt_func is None and not filt_func(depending_libpath):
continue
rpaths = get_rpaths(depending_libpath)
for install_name in get_install_names(depending_libpath):
lib_path = (install_name if install_name.startswith('@')
else realpath(install_name))
lib_path = resolve_rpath(lib_path, rpaths)
if lib_path in lib_dict:
lib_dict[lib_path][depending_libpath] = install_name
else:
lib_dict[lib_path] = {depending_libpath: install_name}
return lib_dict | python | def tree_libs(start_path, filt_func=None):
""" Return analysis of library dependencies within `start_path`
Parameters
----------
start_path : str
root path of tree to search for libraries depending on other libraries.
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
file, False otherwise.
Returns
-------
lib_dict : dict
dictionary with (key, value) pairs of (``libpath``,
``dependings_dict``).
``libpath`` is canonical (``os.path.realpath``) filename of library, or
library name starting with {'@rpath', '@loader_path',
'@executable_path'}.
``dependings_dict`` is a dict with (key, value) pairs of
(``depending_libpath``, ``install_name``), where ``dependings_libpath``
is the canonical (``os.path.realpath``) filename of the library
depending on ``libpath``, and ``install_name`` is the "install_name" by
which ``depending_libpath`` refers to ``libpath``.
Notes
-----
See:
* https://developer.apple.com/library/mac/documentation/Darwin/Reference/ManPages/man1/dyld.1.html
* http://matthew-brett.github.io/pydagogue/mac_runtime_link.html
"""
lib_dict = {}
for dirpath, dirnames, basenames in os.walk(start_path):
for base in basenames:
depending_libpath = realpath(pjoin(dirpath, base))
if not filt_func is None and not filt_func(depending_libpath):
continue
rpaths = get_rpaths(depending_libpath)
for install_name in get_install_names(depending_libpath):
lib_path = (install_name if install_name.startswith('@')
else realpath(install_name))
lib_path = resolve_rpath(lib_path, rpaths)
if lib_path in lib_dict:
lib_dict[lib_path][depending_libpath] = install_name
else:
lib_dict[lib_path] = {depending_libpath: install_name}
return lib_dict | [
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start_path : str
root path of tree to search for libraries depending on other libraries.
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
file, False otherwise.
Returns
-------
lib_dict : dict
dictionary with (key, value) pairs of (``libpath``,
``dependings_dict``).
``libpath`` is canonical (``os.path.realpath``) filename of library, or
library name starting with {'@rpath', '@loader_path',
'@executable_path'}.
``dependings_dict`` is a dict with (key, value) pairs of
(``depending_libpath``, ``install_name``), where ``dependings_libpath``
is the canonical (``os.path.realpath``) filename of the library
depending on ``libpath``, and ``install_name`` is the "install_name" by
which ``depending_libpath`` refers to ``libpath``.
Notes
-----
See:
* https://developer.apple.com/library/mac/documentation/Darwin/Reference/ManPages/man1/dyld.1.html
* http://matthew-brett.github.io/pydagogue/mac_runtime_link.html | [
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b111010 + 0o65) + '\x35', 0o10), nzTpIcepk0o8(chr(1064 - 1016) + chr(111) + chr(0b1011 + 0o50) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(540 - 492) + chr(0b1101111) + '\062' + chr(0b110010) + '\066', 0o10), nzTpIcepk0o8(chr(0b1011 + 0o45) + '\157' + chr(0b110110) + '\064', 0b1000), nzTpIcepk0o8(chr(0b11110 + 0o22) + '\157' + '\x31' + chr(0b11110 + 0o26) + '\x37', 0b1000), nzTpIcepk0o8(chr(48) + chr(5537 - 5426) + chr(50) + chr(1255 - 1203) + '\x30', 43958 - 43950), nzTpIcepk0o8('\x30' + '\157' + '\066' + chr(0b110100), 8), nzTpIcepk0o8('\060' + chr(111) + '\x31' + chr(0b101111 + 0o5) + '\063', 62770 - 62762), nzTpIcepk0o8(chr(1063 - 1015) + '\157' + '\x33' + chr(1479 - 1431) + chr(0b100100 + 0o14), 11334 - 11326), nzTpIcepk0o8('\060' + chr(7653 - 7542) + chr(1870 - 1820) + '\x36' + chr(0b10011 + 0o37), 62023 - 62015), nzTpIcepk0o8(chr(0b110000) + chr(0b100111 + 0o110) + chr(966 - 916) + chr(57 - 9) + '\x32', 32373 - 32365), nzTpIcepk0o8('\060' + '\x6f' + chr(0b0 + 0o63) + chr(0b10010 + 0o42) + '\064', 18332 - 18324), nzTpIcepk0o8(chr(1622 - 1574) + chr(0b1101111) + '\x33' + chr(0b110011) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + '\x32' + chr(0b11100 + 0o24), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(52), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1001110 + 0o41) + '\x33' + '\x34' + chr(2495 - 2444), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(51), 0o10), nzTpIcepk0o8(chr(978 - 930) + chr(0b111100 + 0o63) + chr(0b110010) + chr(0b110011 + 0o4) + chr(49), 0b1000), nzTpIcepk0o8('\060' + chr(8385 - 8274) + chr(1202 - 1153) + chr(0b11001 + 0o36) + '\063', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1100111 + 0o10) + '\066' + chr(50), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(50) + chr(0b10 + 0o63), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(10709 - 10598) + chr(1269 - 1218) + '\063', 8), nzTpIcepk0o8(chr(48) + chr(0b111000 + 0o67) + chr(54 - 1) + chr(54), 0b1000), nzTpIcepk0o8('\x30' + chr(7414 - 7303) + chr(0b110001) + '\066' + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(2214 - 2166) + chr(111) + chr(0b110001) + chr(0b110101) + '\060', 61317 - 61309), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(111) + '\062' + chr(0b110100) + '\x35', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + chr(51) + chr(51), 39598 - 39590), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1410 - 1359) + chr(48) + chr(0b100100 + 0o16), 0b1000), nzTpIcepk0o8(chr(1868 - 1820) + '\x6f' + chr(0b1010 + 0o55), ord("\x08")), nzTpIcepk0o8(chr(1721 - 1673) + chr(111) + chr(1441 - 1392) + chr(0b110001) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(1392 - 1342) + chr(51) + '\060', 34217 - 34209), nzTpIcepk0o8(chr(0b110000) + chr(6847 - 6736) + chr(49) + chr(53) + '\x32', 0b1000), nzTpIcepk0o8(chr(1428 - 1380) + '\x6f' + chr(51) + '\x34' + chr(2244 - 2193), 8), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + chr(145 - 97) + chr(0b110100), 50080 - 50072), nzTpIcepk0o8('\x30' + '\x6f' + chr(50) + '\060' + chr(0b1010 + 0o50), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + '\066' + '\x32', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b100 + 0o153) + '\066' + '\062', 8), nzTpIcepk0o8(chr(48) + chr(7619 - 7508) + chr(49) + '\x36' + chr(0b11110 + 0o30), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + '\x31' + chr(0b110000 + 0o0), 3535 - 3527)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + chr(0b100101 + 0o20) + '\x30', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'+'), '\144' + chr(101) + chr(0b1100011) + chr(4772 - 4661) + chr(0b1100100) + chr(7537 - 7436))(chr(117) + chr(0b1110100) + '\146' + chr(153 - 108) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def xWJA49VqbPIG(PBW4r5s5mPvx, lP57pkTsBtfr=None):
qkpPYNGSWlNS = {}
for (I2SWgNJaMi9s, KIATV2KkQ1it, fW8Q55ihYiNG) in roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'rx\xfa_'), chr(0b1010000 + 0o24) + chr(101) + chr(8141 - 8042) + '\157' + chr(0b1011000 + 0o14) + '\145')(chr(117) + chr(0b1110100) + chr(1976 - 1874) + '\055' + chr(837 - 781)))(PBW4r5s5mPvx):
for xvptlew7LsBo in fW8Q55ihYiNG:
vIRvbEZfpYVV = s0pnpDWwX0By(sl4lpVyym_WD(I2SWgNJaMi9s, xvptlew7LsBo))
if lP57pkTsBtfr is not None and (not lP57pkTsBtfr(vIRvbEZfpYVV)):
continue
zySGptAL88Vo = mYf1Lm9sBO2a(vIRvbEZfpYVV)
for UKtObLqaCmKP in SJ4SS9qhxP_p(vIRvbEZfpYVV):
K5ZqFdGu7ZaF = UKtObLqaCmKP if UKtObLqaCmKP.startswith(roI3spqORKae(ES5oEprVxulp(b'E'), chr(0b1100100) + chr(3611 - 3510) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b11010 + 0o113))('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000))) else s0pnpDWwX0By(UKtObLqaCmKP)
K5ZqFdGu7ZaF = XidD7Wcg5iVb(K5ZqFdGu7ZaF, zySGptAL88Vo)
if K5ZqFdGu7ZaF in qkpPYNGSWlNS:
qkpPYNGSWlNS[K5ZqFdGu7ZaF][vIRvbEZfpYVV] = UKtObLqaCmKP
else:
qkpPYNGSWlNS[K5ZqFdGu7ZaF] = {vIRvbEZfpYVV: UKtObLqaCmKP}
return qkpPYNGSWlNS |
matthew-brett/delocate | delocate/libsana.py | resolve_rpath | def resolve_rpath(lib_path, rpaths):
""" Return `lib_path` with its `@rpath` resolved
If the `lib_path` doesn't have `@rpath` then it's returned as is.
If `lib_path` has `@rpath` then returns the first `rpaths`/`lib_path`
combination found. If the library can't be found in `rpaths` then a
detailed warning is printed and `lib_path` is returned as is.
Parameters
----------
lib_path : str
The path to a library file, which may or may not start with `@rpath`.
rpaths : sequence of str
A sequence of search paths, usually gotten from a call to `get_rpaths`.
Returns
-------
lib_path : str
A str with the resolved libraries realpath.
"""
if not lib_path.startswith('@rpath/'):
return lib_path
lib_rpath = lib_path.split('/', 1)[1]
for rpath in rpaths:
rpath_lib = realpath(pjoin(rpath, lib_rpath))
if os.path.exists(rpath_lib):
return rpath_lib
warnings.warn(
"Couldn't find {0} on paths:\n\t{1}".format(
lib_path,
'\n\t'.join(realpath(path) for path in rpaths),
)
)
return lib_path | python | def resolve_rpath(lib_path, rpaths):
""" Return `lib_path` with its `@rpath` resolved
If the `lib_path` doesn't have `@rpath` then it's returned as is.
If `lib_path` has `@rpath` then returns the first `rpaths`/`lib_path`
combination found. If the library can't be found in `rpaths` then a
detailed warning is printed and `lib_path` is returned as is.
Parameters
----------
lib_path : str
The path to a library file, which may or may not start with `@rpath`.
rpaths : sequence of str
A sequence of search paths, usually gotten from a call to `get_rpaths`.
Returns
-------
lib_path : str
A str with the resolved libraries realpath.
"""
if not lib_path.startswith('@rpath/'):
return lib_path
lib_rpath = lib_path.split('/', 1)[1]
for rpath in rpaths:
rpath_lib = realpath(pjoin(rpath, lib_rpath))
if os.path.exists(rpath_lib):
return rpath_lib
warnings.warn(
"Couldn't find {0} on paths:\n\t{1}".format(
lib_path,
'\n\t'.join(realpath(path) for path in rpaths),
)
)
return lib_path | [
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If the `lib_path` doesn't have `@rpath` then it's returned as is.
If `lib_path` has `@rpath` then returns the first `rpaths`/`lib_path`
combination found. If the library can't be found in `rpaths` then a
detailed warning is printed and `lib_path` is returned as is.
Parameters
----------
lib_path : str
The path to a library file, which may or may not start with `@rpath`.
rpaths : sequence of str
A sequence of search paths, usually gotten from a call to `get_rpaths`.
Returns
-------
lib_path : str
A str with the resolved libraries realpath. | [
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/libsana.py#L68-L104 | train | Return lib_path with its @rpath resolved. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(4866 - 4755) + chr(0b110001) + chr(0b110010) + '\060', 0o10), nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(111) + '\062' + '\064', 17868 - 17860), nzTpIcepk0o8(chr(0b101001 + 0o7) + '\x6f' + chr(50) + chr(819 - 771) + '\x37', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b1101 + 0o43) + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b10100 + 0o36) + chr(54), 0o10), nzTpIcepk0o8(chr(569 - 521) + chr(0b1101111) + chr(0b100111 + 0o14) + chr(48) + '\067', 18735 - 18727), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110010) + chr(0b1000 + 0o50) + chr(0b101000 + 0o14), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(68 - 18) + '\x32' + '\x35', 0o10), nzTpIcepk0o8(chr(0b1101 + 0o43) + '\157' + '\062' + chr(52) + '\060', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(960 - 910), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(0b1 + 0o63) + chr(1452 - 1402), 9489 - 9481), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110111) + '\x33', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\067' + chr(55), 59478 - 59470), nzTpIcepk0o8(chr(48) + chr(7292 - 7181) + chr(0b100000 + 0o21) + chr(0b100110 + 0o12) + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + '\157' + '\x33' + chr(1280 - 1229) + chr(53), 0b1000), nzTpIcepk0o8(chr(1011 - 963) + '\x6f' + '\061' + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b10000 + 0o41) + chr(365 - 311), 8), nzTpIcepk0o8(chr(710 - 662) + '\157' + chr(0b100001 + 0o22) + chr(181 - 133), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b110100) + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + chr(0b110 + 0o55) + chr(687 - 636), 0o10), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(111) + chr(1742 - 1693) + chr(48), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b0 + 0o157) + chr(582 - 532) + '\064' + chr(0b110001), 62619 - 62611), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + chr(1953 - 1898) + chr(2546 - 2495), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b10100 + 0o37) + '\x33', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32' + chr(0b110110) + chr(0b110011), 44232 - 44224), nzTpIcepk0o8('\060' + chr(6639 - 6528) + chr(0b110011) + '\066' + '\x32', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + '\x33' + chr(0b110010), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2085 - 2034) + chr(0b110100) + '\067', 0b1000), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\157' + chr(0b101011 + 0o10) + chr(553 - 505) + chr(0b101011 + 0o5), 0b1000), nzTpIcepk0o8('\x30' + chr(2486 - 2375) + '\x31' + chr(1785 - 1734) + chr(51), 26402 - 26394), nzTpIcepk0o8('\060' + chr(9633 - 9522) + '\063' + chr(0b110000) + chr(0b11101 + 0o31), 8), nzTpIcepk0o8('\x30' + chr(0b1001000 + 0o47) + chr(0b110011) + '\067' + '\x31', 4494 - 4486), nzTpIcepk0o8(chr(48) + chr(0b101101 + 0o102) + chr(49) + '\x31' + '\061', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(1768 - 1718) + chr(0b11011 + 0o25) + '\060', 0b1000), nzTpIcepk0o8(chr(0b11000 + 0o30) + chr(111) + chr(0b110011) + chr(0b100000 + 0o25) + chr(0b110100), 30553 - 30545), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061' + chr(943 - 891), ord("\x08")), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(11442 - 11331) + chr(0b110010) + '\064' + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111 + 0o0) + chr(0b110010) + chr(53) + chr(0b10001 + 0o42), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b10111 + 0o37) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110 + 0o60) + chr(0b1011 + 0o53), 26859 - 26851)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110101) + '\060', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'~'), chr(3512 - 3412) + '\x65' + chr(9535 - 9436) + '\x6f' + chr(100) + '\145')('\165' + chr(116) + chr(2593 - 2491) + '\055' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def XidD7Wcg5iVb(K5ZqFdGu7ZaF, zySGptAL88Vo):
if not roI3spqORKae(K5ZqFdGu7ZaF, roI3spqORKae(ES5oEprVxulp(b'#`\xe6\xb4b\xb4\xf3\xfc\xd4j'), '\x64' + chr(4760 - 4659) + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b1101111 + 0o6) + chr(0b1110100) + chr(2959 - 2857) + chr(0b11001 + 0o24) + chr(827 - 771)))(roI3spqORKae(ES5oEprVxulp(b'\x10f\xf7\xa7b\xaf\xab'), chr(0b110001 + 0o63) + chr(101) + chr(3370 - 3271) + chr(111) + chr(0b11000 + 0o114) + '\145')(chr(0b10 + 0o163) + chr(0b1101001 + 0o13) + '\x66' + '\055' + chr(0b111000))):
return K5ZqFdGu7ZaF
pAD75gpiW54V = K5ZqFdGu7ZaF.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\x7f'), chr(0b11001 + 0o113) + '\145' + '\143' + '\x6f' + chr(4880 - 4780) + '\145')('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(0b10011 + 0o45)), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061', 0b1000))[nzTpIcepk0o8(chr(0b101011 + 0o5) + '\x6f' + chr(49), 8)]
for v9s78iRIaK5o in zySGptAL88Vo:
iQEmHZ55C8yW = s0pnpDWwX0By(sl4lpVyym_WD(v9s78iRIaK5o, pAD75gpiW54V))
if roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'*G\xce\xbfx\x97\xf1\xd0\xd6n3\x0f'), chr(6050 - 5950) + chr(0b1110 + 0o127) + '\x63' + chr(0b1101111) + chr(0b111101 + 0o47) + '\145')('\x75' + '\x74' + chr(102) + '\x2d' + chr(0b1110 + 0o52)))(iQEmHZ55C8yW):
return iQEmHZ55C8yW
roI3spqORKae(EyN62Frii5S5, roI3spqORKae(ES5oEprVxulp(b'#^\xd6\x90I\x8f\xf5\xc6\x99d\x05A'), chr(0b1001100 + 0o30) + chr(101) + chr(1730 - 1631) + chr(0b1101111) + '\x64' + chr(8565 - 8464))(chr(0b110011 + 0o102) + '\x74' + '\146' + chr(0b101001 + 0o4) + chr(0b10001 + 0o47)))(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\x13{\xf2\xaar\xa9\xa3\xe1\x80d\x0bU[a\xa6>s8\xca\xf5(\xd1\x1ao\xdb\x81\xe0\xed\xc9 \xf7\x84'), '\144' + chr(101) + chr(6670 - 6571) + '\157' + chr(100) + chr(7769 - 7668))(chr(117) + '\164' + chr(0b1000011 + 0o43) + '\x2d' + '\x38'), roI3spqORKae(ES5oEprVxulp(b"!'\xb4\x8dQ\xf4\xe2\xfa\xf1]!q"), '\x64' + chr(520 - 419) + chr(0b1100011) + chr(111) + chr(0b110 + 0o136) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(1651 - 1606) + '\x38'))(K5ZqFdGu7ZaF, roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'Z\x1d'), chr(0b1100100) + chr(101) + chr(9002 - 8903) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\t \xfe\x8b/\x85\xe7\xf3\xf4A,J'), '\x64' + chr(0b1010100 + 0o21) + chr(0b1100011) + chr(12282 - 12171) + chr(0b1100100) + chr(0b1011100 + 0o11))(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(2692 - 2636)))((s0pnpDWwX0By(_pSYqrosNb95) for _pSYqrosNb95 in zySGptAL88Vo))))
return K5ZqFdGu7ZaF |
matthew-brett/delocate | delocate/libsana.py | get_prefix_stripper | def get_prefix_stripper(strip_prefix):
""" Return function to strip `strip_prefix` prefix from string if present
Parameters
----------
prefix : str
Prefix to strip from the beginning of string if present
Returns
-------
stripper : func
function such that ``stripper(a_string)`` will strip `prefix` from
``a_string`` if present, otherwise pass ``a_string`` unmodified
"""
n = len(strip_prefix)
def stripper(path):
return path if not path.startswith(strip_prefix) else path[n:]
return stripper | python | def get_prefix_stripper(strip_prefix):
""" Return function to strip `strip_prefix` prefix from string if present
Parameters
----------
prefix : str
Prefix to strip from the beginning of string if present
Returns
-------
stripper : func
function such that ``stripper(a_string)`` will strip `prefix` from
``a_string`` if present, otherwise pass ``a_string`` unmodified
"""
n = len(strip_prefix)
def stripper(path):
return path if not path.startswith(strip_prefix) else path[n:]
return stripper | [
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Prefix to strip from the beginning of string if present
Returns
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stripper : func
function such that ``stripper(a_string)`` will strip `prefix` from
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/libsana.py#L107-L124 | train | Returns a function that strips the prefix from the beginning of a string if present. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b101001 + 0o11) + '\x36' + chr(49), 36946 - 36938), nzTpIcepk0o8(chr(48) + chr(0b100101 + 0o112) + chr(296 - 247) + chr(0b110011 + 0o3) + '\065', 59564 - 59556), nzTpIcepk0o8(chr(48) + chr(11352 - 11241) + chr(0b1101 + 0o44) + '\x33' + chr(1657 - 1604), 0o10), nzTpIcepk0o8('\060' + chr(7053 - 6942) + chr(248 - 197) + '\062' + '\067', 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b1101111) + '\061' + chr(1470 - 1422) + '\063', 0b1000), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\157' + chr(53) + chr(0b100010 + 0o21), 54556 - 54548), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110001) + chr(0b110001) + chr(640 - 589), 0o10), nzTpIcepk0o8(chr(671 - 623) + '\x6f' + chr(368 - 319) + chr(0b110011), 14929 - 14921), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110101) + chr(2172 - 2122), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\063' + '\062' + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + chr(51) + chr(2568 - 2513), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + chr(49) + chr(0b10000 + 0o41), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\x31' + chr(51) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(2064 - 2016) + chr(0b11000 + 0o127) + chr(2253 - 2202) + chr(0b110010) + chr(201 - 148), 29050 - 29042), nzTpIcepk0o8(chr(0b100010 + 0o16) + '\157' + chr(0b110010) + '\067' + chr(1133 - 1081), 28272 - 28264), nzTpIcepk0o8(chr(48) + '\x6f' + chr(852 - 801) + '\061' + chr(0b10010 + 0o41), 18361 - 18353), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(782 - 731) + chr(0b11101 + 0o32), 8), nzTpIcepk0o8('\060' + '\x6f' + chr(146 - 96) + '\x37' + '\x33', 26219 - 26211), nzTpIcepk0o8(chr(0b110000) + chr(0b1011000 + 0o27) + chr(1066 - 1016) + chr(0b11011 + 0o27) + chr(0b10110 + 0o40), 0b1000), nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(111) + '\x31' + chr(0b110101), 12940 - 12932), nzTpIcepk0o8(chr(240 - 192) + chr(111) + chr(0b110001) + chr(0b110100) + chr(0b10100 + 0o40), 7514 - 7506), nzTpIcepk0o8(chr(48) + '\x6f' + '\x33' + chr(0b10 + 0o63) + '\063', 27298 - 27290), nzTpIcepk0o8(chr(48) + '\157' + chr(0b11110 + 0o25) + chr(0b1100 + 0o50) + chr(50), 29396 - 29388), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\x6f' + chr(2291 - 2242) + chr(0b10100 + 0o40) + '\066', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(6647 - 6536) + chr(0b110010) + chr(1799 - 1750) + chr(0b10111 + 0o37), 55527 - 55519), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(55), 8), nzTpIcepk0o8('\060' + chr(111) + chr(1033 - 979) + chr(577 - 526), 22030 - 22022), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1011 + 0o144) + chr(189 - 139), 0o10), nzTpIcepk0o8(chr(48) + chr(1240 - 1129) + chr(0b110010) + chr(0b101010 + 0o14) + '\067', 47459 - 47451), nzTpIcepk0o8('\060' + '\157' + chr(0b111 + 0o53) + chr(50) + chr(49), 0b1000), nzTpIcepk0o8(chr(2047 - 1999) + chr(0b1101111) + chr(1351 - 1301) + '\x35' + '\064', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(51) + '\066' + chr(0b110111 + 0o0), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\061' + chr(794 - 743) + '\064', 0o10), nzTpIcepk0o8('\060' + chr(4455 - 4344) + chr(0b110111) + '\066', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2141 - 2090) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1011 + 0o144) + chr(0b100001 + 0o20) + '\x34' + chr(0b110010), 0b1000), nzTpIcepk0o8('\060' + chr(0b110010 + 0o75) + '\x32' + chr(0b100011 + 0o16) + '\062', 0b1000), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(0b1101111) + '\061' + '\x30' + chr(0b1110 + 0o43), 0b1000), nzTpIcepk0o8(chr(691 - 643) + '\x6f' + chr(0b110001) + '\x30' + chr(1296 - 1245), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + '\x32' + chr(0b110011), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\157' + '\065' + '\x30', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x9f'), '\x64' + '\x65' + '\x63' + '\x6f' + '\x64' + '\x65')('\165' + '\x74' + chr(4518 - 4416) + chr(0b101010 + 0o3) + chr(0b1001 + 0o57)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def xFyt8MNrunnn(QL2Xm7n5iPds):
NoZxuO7wjArS = ftfygxgFas5X(QL2Xm7n5iPds)
def z0wNW0KvVsYi(_pSYqrosNb95):
return _pSYqrosNb95 if not roI3spqORKae(_pSYqrosNb95, roI3spqORKae(ES5oEprVxulp(b'\xc2\x01<\xa57X<b^\xb8'), chr(0b1000110 + 0o36) + '\x65' + '\143' + '\x6f' + chr(100) + '\x65')(chr(117) + '\164' + '\146' + chr(171 - 126) + chr(0b1100 + 0o54)))(QL2Xm7n5iPds) else _pSYqrosNb95[NoZxuO7wjArS:]
return z0wNW0KvVsYi |
matthew-brett/delocate | delocate/libsana.py | stripped_lib_dict | def stripped_lib_dict(lib_dict, strip_prefix):
""" Return `lib_dict` with `strip_prefix` removed from start of paths
Use to give form of `lib_dict` that appears relative to some base path
given by `strip_prefix`. Particularly useful for analyzing wheels where we
unpack to a temporary path before analyzing.
Parameters
----------
lib_dict : dict
See :func:`tree_libs` for definition. All depending and depended paths
are canonical (therefore absolute)
strip_prefix : str
Prefix to remove (if present) from all depended and depending library
paths in `lib_dict`
Returns
-------
relative_dict : dict
`lib_dict` with `strip_prefix` removed from beginning of all depended
and depending library paths.
"""
relative_dict = {}
stripper = get_prefix_stripper(strip_prefix)
for lib_path, dependings_dict in lib_dict.items():
ding_dict = {}
for depending_libpath, install_name in dependings_dict.items():
ding_dict[stripper(depending_libpath)] = install_name
relative_dict[stripper(lib_path)] = ding_dict
return relative_dict | python | def stripped_lib_dict(lib_dict, strip_prefix):
""" Return `lib_dict` with `strip_prefix` removed from start of paths
Use to give form of `lib_dict` that appears relative to some base path
given by `strip_prefix`. Particularly useful for analyzing wheels where we
unpack to a temporary path before analyzing.
Parameters
----------
lib_dict : dict
See :func:`tree_libs` for definition. All depending and depended paths
are canonical (therefore absolute)
strip_prefix : str
Prefix to remove (if present) from all depended and depending library
paths in `lib_dict`
Returns
-------
relative_dict : dict
`lib_dict` with `strip_prefix` removed from beginning of all depended
and depending library paths.
"""
relative_dict = {}
stripper = get_prefix_stripper(strip_prefix)
for lib_path, dependings_dict in lib_dict.items():
ding_dict = {}
for depending_libpath, install_name in dependings_dict.items():
ding_dict[stripper(depending_libpath)] = install_name
relative_dict[stripper(lib_path)] = ding_dict
return relative_dict | [
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Use to give form of `lib_dict` that appears relative to some base path
given by `strip_prefix`. Particularly useful for analyzing wheels where we
unpack to a temporary path before analyzing.
Parameters
----------
lib_dict : dict
See :func:`tree_libs` for definition. All depending and depended paths
are canonical (therefore absolute)
strip_prefix : str
Prefix to remove (if present) from all depended and depending library
paths in `lib_dict`
Returns
-------
relative_dict : dict
`lib_dict` with `strip_prefix` removed from beginning of all depended
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/libsana.py#L145-L175 | train | Return lib_dict with strip_prefix removed from start of paths
| GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1064 - 1016) + chr(0b1100011 + 0o14) + chr(1244 - 1189) + chr(2095 - 2041), ord("\x08")), nzTpIcepk0o8(chr(0b101111 + 0o1) + '\x6f' + chr(198 - 147) + '\067' + '\060', 0o10), nzTpIcepk0o8(chr(1894 - 1846) + chr(0b1100101 + 0o12) + '\x33' + chr(0b110111) + chr(0b110000), 8), nzTpIcepk0o8(chr(0b110000 + 0o0) + '\x6f' + chr(1684 - 1633) + '\060', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(50) + chr(0b101010 + 0o6) + '\061', 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(952 - 897) + '\064', ord("\x08")), nzTpIcepk0o8(chr(1191 - 1143) + chr(0b110100 + 0o73) + '\x31' + '\065' + '\063', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(2210 - 2155) + chr(0b110100), 1429 - 1421), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b101110 + 0o101) + chr(0b11001 + 0o32) + chr(53) + '\063', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1452 - 1403) + chr(947 - 893) + '\x35', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + '\064', 44313 - 44305), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b11000 + 0o127) + '\066' + '\066', 0b1000), nzTpIcepk0o8('\060' + chr(0b1010000 + 0o37) + chr(0b101011 + 0o7) + chr(0b110111) + chr(0b110111), 8005 - 7997), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110100) + chr(53), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2401 - 2350) + chr(49) + chr(666 - 615), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\062' + '\061' + '\066', 0o10), nzTpIcepk0o8(chr(48) + chr(0b101010 + 0o105) + '\x32' + chr(2797 - 2742) + '\062', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(50), 0o10), nzTpIcepk0o8(chr(48) + chr(8256 - 8145) + chr(50) + chr(1538 - 1487) + '\063', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(0b101000 + 0o12), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(381 - 332) + chr(0b110010), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(653 - 604) + chr(2178 - 2130), 37571 - 37563), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b100101 + 0o16) + '\x36' + '\x30', 23008 - 23000), nzTpIcepk0o8('\x30' + chr(914 - 803) + chr(1778 - 1723) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49) + chr(388 - 335) + '\065', 9530 - 9522), nzTpIcepk0o8('\060' + chr(0b1101110 + 0o1) + chr(1164 - 1113) + '\067' + chr(0b101000 + 0o17), 0o10), nzTpIcepk0o8(chr(1852 - 1804) + '\x6f' + chr(0b10111 + 0o33) + '\062' + chr(199 - 149), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b110001) + '\064', 0o10), nzTpIcepk0o8(chr(1513 - 1465) + chr(7184 - 7073) + '\x33' + '\067' + chr(53), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(49) + chr(0b110011) + chr(1248 - 1195), 20145 - 20137), nzTpIcepk0o8(chr(1707 - 1659) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(0b11000 + 0o33), 30523 - 30515), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + chr(0b1001 + 0o52), ord("\x08")), nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(0b111100 + 0o63) + '\x31' + chr(901 - 853) + chr(0b10000 + 0o42), 0o10), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1101111) + chr(50) + '\065' + chr(0b10100 + 0o40), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(1930 - 1881) + chr(642 - 587) + '\x34', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b100 + 0o57) + chr(0b10101 + 0o35) + chr(0b10000 + 0o45), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b101110 + 0o101) + '\x33' + chr(526 - 472), 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + chr(0b0 + 0o63) + chr(1974 - 1922) + '\x36', 29777 - 29769), nzTpIcepk0o8(chr(856 - 808) + '\157' + chr(0b110011) + chr(1388 - 1337) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(1946 - 1898) + chr(0b1101111) + '\x33' + '\061' + chr(1291 - 1237), 16377 - 16369)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(11974 - 11863) + chr(0b110101) + '\x30', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x10'), chr(0b111 + 0o135) + chr(0b100010 + 0o103) + chr(99) + '\x6f' + '\144' + chr(0b1001 + 0o134))(chr(0b1001110 + 0o47) + chr(0b101110 + 0o106) + '\146' + '\055' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def vhhc4AyBKqL4(qkpPYNGSWlNS, QL2Xm7n5iPds):
VpyLJ1mgl2tk = {}
z0wNW0KvVsYi = xFyt8MNrunnn(QL2Xm7n5iPds)
for (K5ZqFdGu7ZaF, MWUwDE4SV33n) in roI3spqORKae(qkpPYNGSWlNS, roI3spqORKae(ES5oEprVxulp(b'g\xa7\x96V\xc4\x86#H\xd8\x03L_'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b101111 + 0o66))(chr(3090 - 2973) + chr(116) + chr(0b1100110) + chr(45) + '\x38'))():
NyEw102aeOQ7 = {}
for (vIRvbEZfpYVV, UKtObLqaCmKP) in roI3spqORKae(MWUwDE4SV33n, roI3spqORKae(ES5oEprVxulp(b'g\xa7\x96V\xc4\x86#H\xd8\x03L_'), '\x64' + chr(7410 - 7309) + chr(0b11101 + 0o106) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(2366 - 2249) + chr(116) + chr(0b111110 + 0o50) + chr(0b1000 + 0o45) + chr(343 - 287)))():
NyEw102aeOQ7[z0wNW0KvVsYi(vIRvbEZfpYVV)] = UKtObLqaCmKP
VpyLJ1mgl2tk[z0wNW0KvVsYi(K5ZqFdGu7ZaF)] = NyEw102aeOQ7
return VpyLJ1mgl2tk |
matthew-brett/delocate | delocate/libsana.py | wheel_libs | def wheel_libs(wheel_fname, filt_func = None):
""" Return analysis of library dependencies with a Python wheel
Use this routine for a dump of the dependency tree.
Parameters
----------
wheel_fname : str
Filename of wheel
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
file, False otherwise.
Returns
-------
lib_dict : dict
dictionary with (key, value) pairs of (``libpath``,
``dependings_dict``). ``libpath`` is library being depended on,
relative to wheel root path if within wheel tree. ``dependings_dict``
is (key, value) of (``depending_lib_path``, ``install_name``). Again,
``depending_lib_path`` is library relative to wheel root path, if
within wheel tree.
"""
with TemporaryDirectory() as tmpdir:
zip2dir(wheel_fname, tmpdir)
lib_dict = tree_libs(tmpdir, filt_func)
return stripped_lib_dict(lib_dict, realpath(tmpdir) + os.path.sep) | python | def wheel_libs(wheel_fname, filt_func = None):
""" Return analysis of library dependencies with a Python wheel
Use this routine for a dump of the dependency tree.
Parameters
----------
wheel_fname : str
Filename of wheel
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
file, False otherwise.
Returns
-------
lib_dict : dict
dictionary with (key, value) pairs of (``libpath``,
``dependings_dict``). ``libpath`` is library being depended on,
relative to wheel root path if within wheel tree. ``dependings_dict``
is (key, value) of (``depending_lib_path``, ``install_name``). Again,
``depending_lib_path`` is library relative to wheel root path, if
within wheel tree.
"""
with TemporaryDirectory() as tmpdir:
zip2dir(wheel_fname, tmpdir)
lib_dict = tree_libs(tmpdir, filt_func)
return stripped_lib_dict(lib_dict, realpath(tmpdir) + os.path.sep) | [
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wheel_fname : str
Filename of wheel
filt_func : None or callable, optional
If None, inspect all files for library dependencies. If callable,
accepts filename as argument, returns True if we should inspect the
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dictionary with (key, value) pairs of (``libpath``,
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relative to wheel root path if within wheel tree. ``dependings_dict``
is (key, value) of (``depending_lib_path``, ``install_name``). Again,
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/libsana.py#L178-L205 | train | Return analysis of library dependencies with a Python wheel. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + '\x6f' + chr(50) + chr(54) + chr(0b110000), 16806 - 16798), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1101111) + chr(50) + chr(53) + chr(0b100 + 0o54), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(1609 - 1558) + chr(0b10100 + 0o40) + chr(0b101011 + 0o10), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110010) + chr(0b1000 + 0o50) + chr(0b101111 + 0o7), ord("\x08")), nzTpIcepk0o8(chr(1885 - 1837) + chr(0b1000111 + 0o50) + chr(0b110010) + '\060' + chr(0b1001 + 0o52), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b1 + 0o62) + chr(331 - 280) + chr(0b101 + 0o61), 54421 - 54413), nzTpIcepk0o8('\x30' + chr(0b1010000 + 0o37) + chr(0b110100 + 0o2), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b100011 + 0o114) + chr(53) + '\065', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + '\061' + chr(612 - 557) + '\x37', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(3879 - 3768) + '\x31' + chr(2358 - 2303) + '\061', 13068 - 13060), nzTpIcepk0o8('\060' + chr(0b1101 + 0o142) + chr(0b110001) + '\x36' + chr(55), 0b1000), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + '\x31' + chr(51) + chr(49), 0b1000), nzTpIcepk0o8(chr(0b101111 + 0o1) + '\157' + '\065' + '\060', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b101010 + 0o11) + chr(50) + '\064', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + '\x35' + '\x35', 0b1000), nzTpIcepk0o8('\060' + chr(0b1011001 + 0o26) + chr(49) + chr(53) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(48) + chr(9611 - 9500) + chr(0b11111 + 0o24) + '\x34' + '\x31', 20228 - 20220), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o50) + chr(0b110111) + chr(893 - 845), 30767 - 30759), nzTpIcepk0o8(chr(0b10011 + 0o35) + '\x6f' + '\062' + chr(50) + chr(55), 33073 - 33065), nzTpIcepk0o8('\060' + chr(11938 - 11827) + chr(0b0 + 0o66), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(0b101001 + 0o14) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(111) + chr(50) + '\x37' + chr(0b110111), 0o10), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(6371 - 6260) + '\x32' + chr(0b110010) + '\063', 9657 - 9649), nzTpIcepk0o8(chr(1864 - 1816) + '\x6f' + '\062' + chr(0b10111 + 0o33) + chr(0b101001 + 0o12), 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(1443 - 1389) + chr(897 - 842), 0b1000), nzTpIcepk0o8('\060' + chr(0b10100 + 0o133) + '\x31' + '\062' + chr(0b100 + 0o54), 0b1000), nzTpIcepk0o8('\060' + chr(5681 - 5570) + chr(0b110010) + '\064' + chr(785 - 730), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(0b101000 + 0o13) + '\x36', 8), nzTpIcepk0o8(chr(0b100111 + 0o11) + '\x6f' + chr(0b110011) + '\x36' + '\060', 27774 - 27766), nzTpIcepk0o8(chr(2279 - 2231) + chr(111) + '\062' + chr(53), 12563 - 12555), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1000011 + 0o54) + '\x33' + chr(55) + chr(0b101 + 0o61), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(51) + '\x30' + chr(1896 - 1847), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110011) + '\x34' + chr(1301 - 1248), 3190 - 3182), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b10110 + 0o34) + chr(49) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(577 - 529) + chr(0b1101111) + chr(0b1001 + 0o51) + chr(2255 - 2204) + chr(54), 0b1000), nzTpIcepk0o8(chr(1085 - 1037) + chr(0b1101111) + chr(0b110011) + chr(0b110001) + '\064', 53967 - 53959), nzTpIcepk0o8('\060' + chr(0b1010001 + 0o36) + '\x33' + '\063' + '\060', 23580 - 23572), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\063' + '\x34' + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(111) + '\063' + '\062' + chr(0b101001 + 0o16), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x36' + chr(2262 - 2213), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(1644 - 1596) + chr(0b1101111) + '\x35' + chr(0b10001 + 0o37), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x9e'), chr(0b10101 + 0o117) + '\145' + chr(99) + '\157' + '\x64' + '\x65')(chr(0b1011000 + 0o35) + chr(0b1110100) + chr(0b1000000 + 0o46) + chr(45) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def zV8EDxDQdOMI(jAnoixfnaRLj, lP57pkTsBtfr=None):
with FYKEAdBNsyVH() as fIL2oZNHB0Ly:
Hfe5kdxfywcg(jAnoixfnaRLj, fIL2oZNHB0Ly)
qkpPYNGSWlNS = xWJA49VqbPIG(fIL2oZNHB0Ly, lP57pkTsBtfr)
return vhhc4AyBKqL4(qkpPYNGSWlNS, s0pnpDWwX0By(fIL2oZNHB0Ly) + roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\xf5\xe9\x95\xd0\xf9\x99O[,J\x1b\x00'), chr(100) + '\145' + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(229 - 184) + chr(0b100 + 0o64)))) |
matthew-brett/delocate | delocate/wheeltools.py | _open_for_csv | def _open_for_csv(name, mode):
""" Deal with Python 2/3 open API differences """
if sys.version_info[0] < 3:
return open_rw(name, mode + 'b')
return open_rw(name, mode, newline='', encoding='utf-8') | python | def _open_for_csv(name, mode):
""" Deal with Python 2/3 open API differences """
if sys.version_info[0] < 3:
return open_rw(name, mode + 'b')
return open_rw(name, mode, newline='', encoding='utf-8') | [
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] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/wheeltools.py#L28-L32 | train | Open a file for CSV files. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(130 - 82) + chr(111) + chr(0b101011 + 0o14) + chr(0b11011 + 0o31), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x34', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + chr(2175 - 2126) + '\x31', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110011) + chr(55) + chr(0b110010), 20631 - 20623), nzTpIcepk0o8('\060' + '\x6f' + chr(391 - 341) + '\x34' + '\x32', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + '\061' + chr(54) + chr(0b11100 + 0o32), 0b1000), nzTpIcepk0o8(chr(106 - 58) + chr(0b1101111) + '\062' + chr(55) + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b110011 + 0o74) + '\063' + '\067' + chr(51), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(1998 - 1948) + chr(0b110000) + '\060', 0b1000), nzTpIcepk0o8(chr(1007 - 959) + chr(0b1101111) + chr(1128 - 1078) + chr(0b110010) + chr(178 - 128), 0b1000), nzTpIcepk0o8('\x30' + chr(10005 - 9894) + '\x33' + '\x31' + chr(489 - 436), ord("\x08")), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\157' + chr(62 - 12) + '\x37' + chr(0b11 + 0o62), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(50) + chr(1491 - 1443) + chr(0b110110), 7785 - 7777), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(49), 0o10), nzTpIcepk0o8(chr(0b110000 + 0o0) + '\157' + '\x31' + chr(0b110100) + '\066', 0b1000), nzTpIcepk0o8(chr(1212 - 1164) + chr(9188 - 9077) + '\x31' + chr(53) + '\063', ord("\x08")), nzTpIcepk0o8(chr(1982 - 1934) + chr(0b110110 + 0o71) + chr(0b101 + 0o54) + chr(54) + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b0 + 0o157) + '\063', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b1101 + 0o47) + '\x35', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(49) + chr(0b110100) + chr(0b110100), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110010) + '\x33' + chr(0b111 + 0o56), ord("\x08")), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(111) + '\x32' + chr(0b110100) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + '\066', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31' + chr(52) + chr(0b110000), 52851 - 52843), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(0b101111 + 0o7) + '\x34', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b10110 + 0o33) + chr(0b101100 + 0o5) + '\063', ord("\x08")), nzTpIcepk0o8(chr(1447 - 1399) + chr(0b1101111) + '\x32' + chr(262 - 207) + chr(48), 0o10), nzTpIcepk0o8(chr(1869 - 1821) + '\x6f' + chr(0b110001) + '\062' + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\067' + chr(1297 - 1247), 60828 - 60820), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + chr(0b100100 + 0o14) + '\x33', 50834 - 50826), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + chr(2214 - 2163), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(53) + chr(2981 - 2926), 0o10), nzTpIcepk0o8(chr(256 - 208) + chr(0b1101111) + chr(53) + '\x35', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b100010 + 0o115) + chr(0b11110 + 0o23) + chr(0b110010) + '\x32', 28941 - 28933), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(1302 - 1253) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(1929 - 1881) + '\157' + '\x34' + chr(0b101110 + 0o10), 0o10), nzTpIcepk0o8(chr(1709 - 1661) + '\x6f' + chr(0b100110 + 0o16) + chr(0b111 + 0o55), ord("\x08")), nzTpIcepk0o8(chr(1908 - 1860) + '\157' + chr(0b1001 + 0o52) + '\066' + chr(1133 - 1078), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(0b110000) + chr(0b101100 + 0o12), 35480 - 35472), nzTpIcepk0o8('\x30' + chr(0b1100111 + 0o10) + chr(1772 - 1722) + '\x35' + '\066', 59513 - 59505)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x35' + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x12'), chr(100) + chr(0b1100101) + chr(1853 - 1754) + '\x6f' + chr(3404 - 3304) + chr(8681 - 8580))(chr(0b1110101) + chr(7582 - 7466) + chr(0b1100110) + chr(562 - 517) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def uBdj50Cgck9W(SLVB2BPA_mIe, bmJ7SvuZE3jD):
if roI3spqORKae(bpyfpu4kTbwL, roI3spqORKae(ES5oEprVxulp(b'Ja\xbb\x89\xcb\x19\xd0\xa4\xe9\xfc\xab\xd2'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(100) + '\x65')('\x75' + chr(116) + chr(1157 - 1055) + chr(387 - 342) + '\x38'))[nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1100100 + 0o13) + '\060', ord("\x08"))] < nzTpIcepk0o8('\060' + '\x6f' + chr(965 - 914), 8):
return hWTHgxylapoI(SLVB2BPA_mIe, bmJ7SvuZE3jD + roI3spqORKae(ES5oEprVxulp(b'^'), chr(0b1011 + 0o131) + '\145' + '\143' + '\157' + '\x64' + '\145')(chr(0b1101111 + 0o6) + '\x74' + chr(3564 - 3462) + '\x2d' + chr(2615 - 2559)))
return hWTHgxylapoI(SLVB2BPA_mIe, bmJ7SvuZE3jD, newline=roI3spqORKae(ES5oEprVxulp(b''), chr(100) + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(13429 - 13313) + chr(0b1100110) + chr(0b101101) + '\x38'), encoding=roI3spqORKae(ES5oEprVxulp(b'Ip\xaf\xd7\x9a'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(0b101011 + 0o111) + chr(3063 - 2961) + '\x2d' + chr(2081 - 2025))) |
matthew-brett/delocate | delocate/wheeltools.py | rewrite_record | def rewrite_record(bdist_dir):
""" Rewrite RECORD file with hashes for all files in `wheel_sdir`
Copied from :method:`wheel.bdist_wheel.bdist_wheel.write_record`
Will also unsign wheel
Parameters
----------
bdist_dir : str
Path of unpacked wheel file
"""
info_dirs = glob.glob(pjoin(bdist_dir, '*.dist-info'))
if len(info_dirs) != 1:
raise WheelToolsError("Should be exactly one `*.dist_info` directory")
record_path = pjoin(info_dirs[0], 'RECORD')
record_relpath = relpath(record_path, bdist_dir)
# Unsign wheel - because we're invalidating the record hash
sig_path = pjoin(info_dirs[0], 'RECORD.jws')
if exists(sig_path):
os.unlink(sig_path)
def walk():
for dir, dirs, files in os.walk(bdist_dir):
for f in files:
yield pjoin(dir, f)
def skip(path):
"""Wheel hashes every possible file."""
return (path == record_relpath)
with _open_for_csv(record_path, 'w+') as record_file:
writer = csv.writer(record_file)
for path in walk():
relative_path = relpath(path, bdist_dir)
if skip(relative_path):
hash = ''
size = ''
else:
with open(path, 'rb') as f:
data = f.read()
digest = hashlib.sha256(data).digest()
hash = 'sha256=' + native(urlsafe_b64encode(digest))
size = len(data)
path_for_record = relpath(
path, bdist_dir).replace(psep, '/')
writer.writerow((path_for_record, hash, size)) | python | def rewrite_record(bdist_dir):
""" Rewrite RECORD file with hashes for all files in `wheel_sdir`
Copied from :method:`wheel.bdist_wheel.bdist_wheel.write_record`
Will also unsign wheel
Parameters
----------
bdist_dir : str
Path of unpacked wheel file
"""
info_dirs = glob.glob(pjoin(bdist_dir, '*.dist-info'))
if len(info_dirs) != 1:
raise WheelToolsError("Should be exactly one `*.dist_info` directory")
record_path = pjoin(info_dirs[0], 'RECORD')
record_relpath = relpath(record_path, bdist_dir)
# Unsign wheel - because we're invalidating the record hash
sig_path = pjoin(info_dirs[0], 'RECORD.jws')
if exists(sig_path):
os.unlink(sig_path)
def walk():
for dir, dirs, files in os.walk(bdist_dir):
for f in files:
yield pjoin(dir, f)
def skip(path):
"""Wheel hashes every possible file."""
return (path == record_relpath)
with _open_for_csv(record_path, 'w+') as record_file:
writer = csv.writer(record_file)
for path in walk():
relative_path = relpath(path, bdist_dir)
if skip(relative_path):
hash = ''
size = ''
else:
with open(path, 'rb') as f:
data = f.read()
digest = hashlib.sha256(data).digest()
hash = 'sha256=' + native(urlsafe_b64encode(digest))
size = len(data)
path_for_record = relpath(
path, bdist_dir).replace(psep, '/')
writer.writerow((path_for_record, hash, size)) | [
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Copied from :method:`wheel.bdist_wheel.bdist_wheel.write_record`
Will also unsign wheel
Parameters
----------
bdist_dir : str
Path of unpacked wheel file | [
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"in",
"wheel_sdir"
] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/wheeltools.py#L35-L81 | train | Rewrite RECORD file with hashes for all files in wheel_sdir. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(111) + '\x36' + chr(0b1000 + 0o57), 0b1000), nzTpIcepk0o8(chr(0b10 + 0o56) + '\157' + '\x32' + chr(1887 - 1832), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x32' + chr(0b100110 + 0o17) + '\060', 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + '\066' + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(2128 - 2080) + chr(111) + chr(0b100011 + 0o16) + '\066' + chr(0b10 + 0o65), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(53) + '\x33', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\063' + '\x33' + chr(0b11110 + 0o25), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110011) + chr(49) + chr(0b11111 + 0o25), 60195 - 60187), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(978 - 926), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + '\x33' + chr(760 - 705), ord("\x08")), nzTpIcepk0o8(chr(2054 - 2006) + chr(0b1001 + 0o146) + chr(0b11101 + 0o25) + chr(0b110000 + 0o6) + '\x30', 23944 - 23936), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + '\x33' + chr(49), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110011) + chr(0b110100) + '\x37', 0b1000), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(111) + chr(1129 - 1080) + chr(0b10010 + 0o42) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(111) + chr(0b10000 + 0o42) + chr(53) + chr(0b10001 + 0o46), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2021 - 1972) + chr(325 - 277) + chr(675 - 626), 54142 - 54134), nzTpIcepk0o8('\060' + '\x6f' + chr(49) + chr(50), 42099 - 42091), nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(0b110000 + 0o77) + chr(0b110001) + chr(2901 - 2847) + '\x37', 8), nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(0b1101 + 0o51) + '\066', 57397 - 57389), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(111) + '\x33' + chr(377 - 326) + '\x35', 0b1000), nzTpIcepk0o8(chr(1417 - 1369) + chr(1285 - 1174) + chr(2192 - 2141) + chr(0b110111) + '\x34', 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x33' + chr(50) + chr(1116 - 1065), 26749 - 26741), nzTpIcepk0o8('\x30' + chr(111) + '\063' + chr(1457 - 1409) + chr(51), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(908 - 859) + '\062' + chr(49), 0b1000), nzTpIcepk0o8(chr(1444 - 1396) + chr(10316 - 10205) + '\x31' + '\066', ord("\x08")), nzTpIcepk0o8(chr(1427 - 1379) + chr(0b1101111) + chr(0b10 + 0o57) + chr(197 - 145) + chr(0b11101 + 0o32), ord("\x08")), nzTpIcepk0o8(chr(845 - 797) + chr(5763 - 5652) + chr(123 - 74) + chr(319 - 265) + chr(0b110111), 8), nzTpIcepk0o8('\060' + '\157' + chr(0b101000 + 0o13) + '\x37' + chr(1515 - 1465), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\061' + '\066' + chr(52), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(50) + chr(53) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\157' + '\x35' + chr(2855 - 2801), 0o10), nzTpIcepk0o8(chr(1998 - 1950) + chr(0b101001 + 0o106) + '\x31' + '\x35', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(4940 - 4829) + chr(468 - 419), 29627 - 29619), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(492 - 442), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\x33' + '\062' + chr(1754 - 1701), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\061' + chr(666 - 613) + chr(55), 32817 - 32809), nzTpIcepk0o8('\x30' + chr(0b1011000 + 0o27) + chr(697 - 647) + '\067' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1 + 0o156) + '\063' + '\x32' + chr(50), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b11001 + 0o126) + '\x34', 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b11101 + 0o24) + chr(54) + chr(2391 - 2336), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + '\065' + '\060', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x19'), chr(2171 - 2071) + chr(0b1010100 + 0o21) + chr(0b11 + 0o140) + '\157' + chr(0b10110 + 0o116) + '\145')('\165' + chr(10498 - 10382) + '\146' + chr(984 - 939) + chr(0b111000 + 0o0)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ycUaqdYtjMBr(JEZgEBrM7DcX):
UF6DBwAXOsEb = mtVuHd9cGi1a.glob(sl4lpVyym_WD(JEZgEBrM7DcX, roI3spqORKae(ES5oEprVxulp(b'\x1d9\xcc\x1c\x04\x1f\xf6\xa5j\xb9\xdf'), '\x64' + chr(0b1100101) + '\x63' + chr(3490 - 3379) + chr(8691 - 8591) + '\145')(chr(117) + chr(116) + '\146' + chr(0b100101 + 0o10) + '\070')))
if ftfygxgFas5X(UF6DBwAXOsEb) != nzTpIcepk0o8(chr(48) + chr(0b1100110 + 0o11) + '\061', 8):
raise Zope6v6zhVH_(roI3spqORKae(ES5oEprVxulp(b'd\x7f\xc7\x00\x1b\x0f\xfb\xaea\xff\xd5\xe1\x86\x06\xdb-sW\x99\xb3\x99\xf3\xa3{ \x03\x1e\x89\x00\xf4Gcgm\xb5O\xdf\xbbv\x12Tc\xc7\x07\x0e'), chr(0b111010 + 0o52) + '\145' + chr(99) + chr(111) + chr(4657 - 4557) + chr(8105 - 8004))(chr(117) + chr(13111 - 12995) + chr(0b100111 + 0o77) + chr(0b101101) + '\070'))
udVqPzHQEjSx = sl4lpVyym_WD(UF6DBwAXOsEb[nzTpIcepk0o8(chr(0b10010 + 0o36) + '\x6f' + chr(0b110000), 0o10)], roI3spqORKae(ES5oEprVxulp(b'eR\xeb:%/'), chr(0b1010110 + 0o16) + chr(101) + chr(2806 - 2707) + chr(2864 - 2753) + '\144' + chr(0b10010 + 0o123))('\x75' + '\x74' + chr(102) + chr(0b1100 + 0o41) + '\070'))
QbUIatbX43w5 = DPVLEmaCQeyq(udVqPzHQEjSx, JEZgEBrM7DcX)
ZYwvPs03RhdL = sl4lpVyym_WD(UF6DBwAXOsEb[nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b1101111) + '\x30', 8)], roI3spqORKae(ES5oEprVxulp(b'eR\xeb:%/\xf5\xa6s\xac'), chr(0b1100100) + chr(5528 - 5427) + chr(1501 - 1402) + chr(985 - 874) + chr(100) + chr(0b1001011 + 0o32))(chr(0b11100 + 0o131) + chr(0b1110100) + '\x66' + '\055' + chr(56)))
if zSIynPuEvlQ4(ZYwvPs03RhdL):
roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'By\xc4\x1c\x19\x00'), chr(0b1100100) + '\x65' + '\143' + chr(0b1011 + 0o144) + chr(935 - 835) + chr(0b1100101))(chr(1268 - 1151) + chr(0b110001 + 0o103) + chr(2065 - 1963) + chr(0b101101) + chr(56)))(ZYwvPs03RhdL)
def JMVsj1EQTuoZ():
for (iJbw0iNQ06Xw, VNlxNzbaDsmx, wR5_YWECjaY7) in roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'}Z\xfe\x06\x1dZ\x9e\x9dP\xaa\xdf\xc3'), chr(8508 - 8408) + chr(101) + chr(5639 - 5540) + '\157' + chr(3705 - 3605) + '\x65')(chr(0b101110 + 0o107) + chr(0b101110 + 0o106) + '\146' + chr(0b111 + 0o46) + chr(2130 - 2074)))(JEZgEBrM7DcX):
for _R8IKF5IwAfX in wR5_YWECjaY7:
yield sl4lpVyym_WD(iJbw0iNQ06Xw, _R8IKF5IwAfX)
def mi8KHiEXG5cT(_pSYqrosNb95):
return _pSYqrosNb95 == QbUIatbX43w5
with uBdj50Cgck9W(udVqPzHQEjSx, roI3spqORKae(ES5oEprVxulp(b'@<'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(117) + chr(10758 - 10642) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(0b111000))) as xFr6oiY9UijU:
OobcaiV2mshj = nwjlz70oVoys.OobcaiV2mshj(xFr6oiY9UijU)
for _pSYqrosNb95 in JMVsj1EQTuoZ():
XR0frRKfeBSw = DPVLEmaCQeyq(_pSYqrosNb95, JEZgEBrM7DcX)
if mi8KHiEXG5cT(XR0frRKfeBSw):
dMJNtLk2mncQ = roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(5239 - 5138) + chr(0b111111 + 0o44) + '\x6f' + chr(100) + '\x65')(chr(0b110010 + 0o103) + '\x74' + '\146' + chr(0b10000 + 0o35) + chr(56))
e1HrJaQHACnl = roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(0b1100101) + chr(0b101011 + 0o70) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11665 - 11548) + chr(5708 - 5592) + chr(0b1100110) + chr(45) + chr(56))
else:
with DnU3Rq9N5ala(_pSYqrosNb95, roI3spqORKae(ES5oEprVxulp(b'Eu'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(1973 - 1873) + '\145')(chr(0b1010101 + 0o40) + '\x74' + chr(0b1010111 + 0o17) + '\x2d' + chr(0b111000))) as _R8IKF5IwAfX:
FfKOThdpoDTb = _R8IKF5IwAfX.eoXknH7XUn7m()
CikyTeQ_2JKj = SDv77BhJq2mr.sha256(FfKOThdpoDTb).CikyTeQ_2JKj()
dMJNtLk2mncQ = roI3spqORKae(ES5oEprVxulp(b'D\x7f\xc9GB]\xe6'), chr(100) + '\x65' + chr(0b10010 + 0o121) + '\157' + chr(0b1100100) + '\145')(chr(0b1100111 + 0o16) + '\x74' + chr(0b1100110) + '\x2d' + chr(0b110100 + 0o4)) + uGhg3bHC5rGz(i_kgZufgepzc(CikyTeQ_2JKj))
e1HrJaQHACnl = ftfygxgFas5X(FfKOThdpoDTb)
_LOW1ibghoQL = DPVLEmaCQeyq(_pSYqrosNb95, JEZgEBrM7DcX).E91dbqOZXBpJ(mEN7DKdSDKGU, roI3spqORKae(ES5oEprVxulp(b'\x18'), chr(0b1000111 + 0o35) + chr(6548 - 6447) + '\x63' + chr(937 - 826) + chr(100) + chr(0b1100101))('\165' + '\164' + chr(3428 - 3326) + chr(0b10 + 0o53) + chr(0b111000)))
roI3spqORKae(OobcaiV2mshj, roI3spqORKae(ES5oEprVxulp(b'@e\xc1\x01\x12\x19\xb4\xbb'), chr(0b1011011 + 0o11) + '\145' + chr(0b1100011) + chr(10887 - 10776) + chr(0b1100100) + '\145')('\165' + '\164' + '\146' + chr(0b11 + 0o52) + chr(0b111000)))((_LOW1ibghoQL, dMJNtLk2mncQ, e1HrJaQHACnl)) |
matthew-brett/delocate | delocate/wheeltools.py | add_platforms | def add_platforms(in_wheel, platforms, out_path=None, clobber=False):
""" Add platform tags `platforms` to `in_wheel` filename and WHEEL tags
Add any platform tags in `platforms` that are missing from `in_wheel`
filename.
Add any platform tags in `platforms` that are missing from `in_wheel`
``WHEEL`` file.
Parameters
----------
in_wheel : str
Filename of wheel to which to add platform tags
platforms : iterable
platform tags to add to wheel filename and WHEEL tags - e.g.
``('macosx_10_9_intel', 'macosx_10_9_x86_64')
out_path : None or str, optional
Directory to which to write new wheel. Default is directory containing
`in_wheel`
clobber : bool, optional
If True, overwrite existing output filename, otherwise raise error
Returns
-------
out_wheel : None or str
Absolute path of wheel file written, or None if no wheel file written.
"""
in_wheel = abspath(in_wheel)
out_path = dirname(in_wheel) if out_path is None else abspath(out_path)
wf = WheelFile(in_wheel)
info_fname = _get_wheelinfo_name(wf)
# Check what tags we have
in_fname_tags = wf.parsed_filename.groupdict()['plat'].split('.')
extra_fname_tags = [tag for tag in platforms if tag not in in_fname_tags]
in_wheel_base, ext = splitext(basename(in_wheel))
out_wheel_base = '.'.join([in_wheel_base] + list(extra_fname_tags))
out_wheel = pjoin(out_path, out_wheel_base + ext)
if exists(out_wheel) and not clobber:
raise WheelToolsError('Not overwriting {0}; set clobber=True '
'to overwrite'.format(out_wheel))
with InWheelCtx(in_wheel) as ctx:
info = read_pkg_info(info_fname)
if info['Root-Is-Purelib'] == 'true':
raise WheelToolsError('Cannot add platforms to pure wheel')
in_info_tags = [tag for name, tag in info.items() if name == 'Tag']
# Python version, C-API version combinations
pyc_apis = ['-'.join(tag.split('-')[:2]) for tag in in_info_tags]
# unique Python version, C-API version combinations
pyc_apis = unique_by_index(pyc_apis)
# Add new platform tags for each Python version, C-API combination
required_tags = ['-'.join(tup) for tup in product(pyc_apis, platforms)]
needs_write = False
for req_tag in required_tags:
if req_tag in in_info_tags: continue
needs_write = True
info.add_header('Tag', req_tag)
if needs_write:
write_pkg_info(info_fname, info)
# Tell context manager to write wheel on exit by setting filename
ctx.out_wheel = out_wheel
return ctx.out_wheel | python | def add_platforms(in_wheel, platforms, out_path=None, clobber=False):
""" Add platform tags `platforms` to `in_wheel` filename and WHEEL tags
Add any platform tags in `platforms` that are missing from `in_wheel`
filename.
Add any platform tags in `platforms` that are missing from `in_wheel`
``WHEEL`` file.
Parameters
----------
in_wheel : str
Filename of wheel to which to add platform tags
platforms : iterable
platform tags to add to wheel filename and WHEEL tags - e.g.
``('macosx_10_9_intel', 'macosx_10_9_x86_64')
out_path : None or str, optional
Directory to which to write new wheel. Default is directory containing
`in_wheel`
clobber : bool, optional
If True, overwrite existing output filename, otherwise raise error
Returns
-------
out_wheel : None or str
Absolute path of wheel file written, or None if no wheel file written.
"""
in_wheel = abspath(in_wheel)
out_path = dirname(in_wheel) if out_path is None else abspath(out_path)
wf = WheelFile(in_wheel)
info_fname = _get_wheelinfo_name(wf)
# Check what tags we have
in_fname_tags = wf.parsed_filename.groupdict()['plat'].split('.')
extra_fname_tags = [tag for tag in platforms if tag not in in_fname_tags]
in_wheel_base, ext = splitext(basename(in_wheel))
out_wheel_base = '.'.join([in_wheel_base] + list(extra_fname_tags))
out_wheel = pjoin(out_path, out_wheel_base + ext)
if exists(out_wheel) and not clobber:
raise WheelToolsError('Not overwriting {0}; set clobber=True '
'to overwrite'.format(out_wheel))
with InWheelCtx(in_wheel) as ctx:
info = read_pkg_info(info_fname)
if info['Root-Is-Purelib'] == 'true':
raise WheelToolsError('Cannot add platforms to pure wheel')
in_info_tags = [tag for name, tag in info.items() if name == 'Tag']
# Python version, C-API version combinations
pyc_apis = ['-'.join(tag.split('-')[:2]) for tag in in_info_tags]
# unique Python version, C-API version combinations
pyc_apis = unique_by_index(pyc_apis)
# Add new platform tags for each Python version, C-API combination
required_tags = ['-'.join(tup) for tup in product(pyc_apis, platforms)]
needs_write = False
for req_tag in required_tags:
if req_tag in in_info_tags: continue
needs_write = True
info.add_header('Tag', req_tag)
if needs_write:
write_pkg_info(info_fname, info)
# Tell context manager to write wheel on exit by setting filename
ctx.out_wheel = out_wheel
return ctx.out_wheel | [
"def",
"add_platforms",
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"... | Add platform tags `platforms` to `in_wheel` filename and WHEEL tags
Add any platform tags in `platforms` that are missing from `in_wheel`
filename.
Add any platform tags in `platforms` that are missing from `in_wheel`
``WHEEL`` file.
Parameters
----------
in_wheel : str
Filename of wheel to which to add platform tags
platforms : iterable
platform tags to add to wheel filename and WHEEL tags - e.g.
``('macosx_10_9_intel', 'macosx_10_9_x86_64')
out_path : None or str, optional
Directory to which to write new wheel. Default is directory containing
`in_wheel`
clobber : bool, optional
If True, overwrite existing output filename, otherwise raise error
Returns
-------
out_wheel : None or str
Absolute path of wheel file written, or None if no wheel file written. | [
"Add",
"platform",
"tags",
"platforms",
"to",
"in_wheel",
"filename",
"and",
"WHEEL",
"tags"
] | ed48de15fce31c3f52f1a9f32cae1b02fc55aa60 | https://github.com/matthew-brett/delocate/blob/ed48de15fce31c3f52f1a9f32cae1b02fc55aa60/delocate/wheeltools.py#L162-L222 | train | Add platforms to the WHEEL file. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\x6f' + chr(53) + chr(48), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b101101 + 0o6) + chr(0b101111 + 0o4), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\x33' + chr(53), ord("\x08")), nzTpIcepk0o8(chr(710 - 662) + chr(0b1101000 + 0o7) + chr(0b101100 + 0o5) + chr(616 - 563) + chr(50), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110101) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(2160 - 2112) + '\x6f' + chr(0b10101 + 0o34) + chr(0b110101) + chr(0b110110), 0o10), nzTpIcepk0o8('\060' + chr(111) + '\063' + '\x32', ord("\x08")), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1010111 + 0o30) + '\x32' + chr(48) + chr(2941 - 2886), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(55) + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(775 - 726) + '\x37' + chr(0b1111 + 0o43), 42674 - 42666), nzTpIcepk0o8('\x30' + chr(0b1010101 + 0o32) + chr(50) + chr(50) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(6982 - 6871) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(51) + chr(0b110010), 59538 - 59530), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\x6f' + chr(50) + chr(0b110111) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(54) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(111) + chr(51) + '\066' + chr(0b110111), 0o10), nzTpIcepk0o8(chr(48) + chr(5799 - 5688) + '\x32' + '\067', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11001 + 0o30) + '\x37', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + chr(50) + chr(51), 0b1000), nzTpIcepk0o8('\x30' + chr(0b11010 + 0o125) + '\062' + chr(0b110010 + 0o0) + chr(51), 27042 - 27034), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + '\060' + chr(50), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101001 + 0o6) + chr(0b110011) + chr(0b110 + 0o56) + chr(594 - 546), 8388 - 8380), nzTpIcepk0o8(chr(1432 - 1384) + chr(111) + chr(49) + '\x31' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1000 + 0o147) + '\x32' + '\064' + '\x30', 0o10), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b110100), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(5554 - 5443) + chr(1643 - 1594) + chr(0b101110 + 0o3) + '\x36', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1330 - 1279) + chr(0b100011 + 0o16) + '\x33', 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\064' + chr(0b10 + 0o64), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(318 - 266) + chr(51), 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x33' + chr(0b110011) + chr(1233 - 1182), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(0b100001 + 0o20) + chr(698 - 644), 40247 - 40239), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + '\x34' + chr(0b110010), 9249 - 9241), nzTpIcepk0o8('\x30' + chr(0b10101 + 0o132) + chr(1424 - 1374) + chr(54), 65400 - 65392), nzTpIcepk0o8('\060' + '\x6f' + chr(0b101101 + 0o5) + chr(55) + '\x34', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(2198 - 2146), 36889 - 36881), nzTpIcepk0o8(chr(48) + chr(2151 - 2040) + chr(0b110001 + 0o5) + chr(2483 - 2432), ord("\x08")), nzTpIcepk0o8(chr(2204 - 2156) + '\x6f' + chr(386 - 336) + '\061' + chr(51), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(2565 - 2514) + '\x32' + '\067', 0b1000), nzTpIcepk0o8('\x30' + chr(0b110100 + 0o73) + chr(0b10010 + 0o37) + '\x30' + '\067', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\157' + chr(0b10000 + 0o45) + chr(48), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x06'), '\x64' + chr(0b10001 + 0o124) + chr(0b100100 + 0o77) + chr(0b100101 + 0o112) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(0b110000 + 0o10)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def blR6G6cnznED(O8r2UHaa8bX1, AlU95VFwUcFu, xGwXj2YpuDB_=None, mxjy43j3vQXB=nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(111) + chr(0b110000), ord("\x08"))):
O8r2UHaa8bX1 = LSQRPdli1Fxe(O8r2UHaa8bX1)
xGwXj2YpuDB_ = qu5fsQlGSLfc(O8r2UHaa8bX1) if xGwXj2YpuDB_ is None else LSQRPdli1Fxe(xGwXj2YpuDB_)
ErU74aNRg84s = bcyYj90_XaDB(O8r2UHaa8bX1)
X3z2MFskEnkt = Ky9KoQ2Brh5X(ErU74aNRg84s)
ZeymeKRPke38 = ErU74aNRg84s.parsed_filename.groupdict()[roI3spqORKae(ES5oEprVxulp(b'X7|\x1e'), '\144' + '\x65' + '\143' + chr(7076 - 6965) + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + '\x38')].LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\x06'), '\144' + '\x65' + chr(0b1100011) + chr(5810 - 5699) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38'))
ubPqmkRfLX2g = [A0gVABhHjc3L for A0gVABhHjc3L in AlU95VFwUcFu if A0gVABhHjc3L not in ZeymeKRPke38]
(UHXBBhF51El2, MEyQziOWmxIx) = nKnjsA3UsXpY(pLvIyXSV7qW5(O8r2UHaa8bX1))
J6Nf8Y5832Mp = roI3spqORKae(ES5oEprVxulp(b'\x06'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1001 + 0o134))(chr(13525 - 13408) + chr(0b1011001 + 0o33) + '\146' + '\055' + chr(56)).Y4yM9BcfTCNq([UHXBBhF51El2] + H4NoA26ON7iG(ubPqmkRfLX2g))
_Tdhz81JJZki = sl4lpVyym_WD(xGwXj2YpuDB_, J6Nf8Y5832Mp + MEyQziOWmxIx)
if zSIynPuEvlQ4(_Tdhz81JJZki) and (not mxjy43j3vQXB):
raise Zope6v6zhVH_(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'f4iJD\x18\x7f\xf5M\x08\xfbq3\xd3U\xd7l?.\xa8\xa2\x93*\xd4dk"\xa4D\x01\xbe\xbc\xdfB\xceqV\xab\xa3(\x084k\x0fY\x19h\xeeN\x1f'), chr(100) + '\x65' + chr(0b110101 + 0o56) + '\157' + '\x64' + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b1101 + 0o40) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'Yh.!l]|\xe8k%\xd1O'), chr(9881 - 9781) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(0b11001 + 0o114))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(2288 - 2232)))(_Tdhz81JJZki))
with hx18ZVLxeK2M(O8r2UHaa8bX1) as PVjcU1K_3aBJ:
ixNx9Lw_1grO = filmhb1W5YH0(X3z2MFskEnkt)
if ixNx9Lw_1grO[roI3spqORKae(ES5oEprVxulp(b"z4r\x1e\x06'i\xaaj\x0f\xe0`6\xd4P"), chr(8914 - 8814) + '\145' + chr(0b1100011) + chr(4149 - 4038) + '\144' + chr(10102 - 10001))(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\070')] == roI3spqORKae(ES5oEprVxulp(b'\\)h\x0f'), chr(0b1001011 + 0o31) + '\145' + '\143' + chr(0b1100101 + 0o12) + chr(0b11001 + 0o113) + chr(7020 - 6919))(chr(0b1010001 + 0o44) + '\164' + chr(0b110111 + 0o57) + chr(1464 - 1419) + chr(0b110100 + 0o4)):
raise Zope6v6zhVH_(roI3spqORKae(ES5oEprVxulp(b'k:s\x04D\x1a:\xe6^\x1e\xb2u6\xdcF\x91x}>\xe0\xa2\x94 \x804}<\xae\x06\x14\xb3\xab\x87z'), chr(0b1100100) + chr(0b1100101) + chr(3382 - 3283) + '\157' + chr(0b100110 + 0o76) + '\145')(chr(12786 - 12669) + chr(0b10001 + 0o143) + '\146' + chr(0b0 + 0o55) + chr(0b110010 + 0o6)))
hjjG6Ws_kMJ8 = [A0gVABhHjc3L for (SLVB2BPA_mIe, A0gVABhHjc3L) in ixNx9Lw_1grO.Y_nNEzH43vXi() if SLVB2BPA_mIe == roI3spqORKae(ES5oEprVxulp(b'|:z'), chr(8237 - 8137) + '\145' + '\143' + chr(111) + chr(100) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(0b100100 + 0o11) + chr(0b111000))]
Tud1qKg7e9t2 = [roI3spqORKae(ES5oEprVxulp(b'\x05'), chr(9360 - 9260) + chr(0b10001 + 0o124) + chr(99) + '\157' + chr(0b100000 + 0o104) + chr(101))(chr(0b101111 + 0o106) + '\164' + chr(102) + '\x2d' + '\070').Y4yM9BcfTCNq(A0gVABhHjc3L.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\x05'), '\x64' + chr(0b1100000 + 0o5) + '\143' + chr(0b1101111) + chr(100) + chr(101))('\165' + '\x74' + '\x66' + chr(0b101101) + '\070'))[:nzTpIcepk0o8(chr(48) + chr(0b1010000 + 0o37) + '\x32', 0b1000)]) for A0gVABhHjc3L in hjjG6Ws_kMJ8]
Tud1qKg7e9t2 = OdWeCDVFTcR5(Tud1qKg7e9t2)
MfJEh8bgyXIR = [roI3spqORKae(ES5oEprVxulp(b'\x05'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(204 - 103))(chr(11981 - 11864) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)).Y4yM9BcfTCNq(WRQDInte8Ztr) for WRQDInte8Ztr in ra_6PszWds1O(Tud1qKg7e9t2, AlU95VFwUcFu)]
W1MfAMjJAAAg = nzTpIcepk0o8(chr(48) + '\x6f' + '\060', 8)
for lVGMxymSkBmY in MfJEh8bgyXIR:
if lVGMxymSkBmY in hjjG6Ws_kMJ8:
continue
W1MfAMjJAAAg = nzTpIcepk0o8(chr(2273 - 2225) + chr(111) + chr(1233 - 1184), 0o10)
roI3spqORKae(ixNx9Lw_1grO, roI3spqORKae(ES5oEprVxulp(b'I?y5C\x0b{\xe3_\x08'), chr(0b1100100) + '\145' + '\143' + chr(111) + '\x64' + chr(101))('\165' + '\164' + '\x66' + '\055' + '\070'))(roI3spqORKae(ES5oEprVxulp(b'|:z'), chr(0b1000111 + 0o35) + '\145' + chr(4054 - 3955) + chr(719 - 608) + '\144' + '\x65')(chr(9486 - 9369) + chr(10991 - 10875) + chr(0b1100110) + chr(45) + '\x38'), lVGMxymSkBmY)
if W1MfAMjJAAAg:
Zu0V0z_zFWEQ(X3z2MFskEnkt, ixNx9Lw_1grO)
PVjcU1K_3aBJ._Tdhz81JJZki = _Tdhz81JJZki
return roI3spqORKae(PVjcU1K_3aBJ, roI3spqORKae(ES5oEprVxulp(b'w\x0fy\x02QV+\xcdp \xf9l'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1010110 + 0o16) + chr(0b1100101))('\165' + chr(8375 - 8259) + '\x66' + '\055' + chr(56))) |
wiheto/teneto | teneto/networkmeasures/temporal_betweenness_centrality.py | temporal_betweenness_centrality | def temporal_betweenness_centrality(tnet=None, paths=None, calc='time'):
'''
Returns temporal betweenness centrality per node.
Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
calc : str
either 'global' or 'time'
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
normalized temporal betweenness centrality.
If calc = 'time', returns (node,time)
If calc = 'global', returns (node)
'''
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
bet = np.zeros([paths[['from', 'to']].max().max() +
1, paths['t_start'].max()+1])
for row in paths.iterrows():
if (np.isnan(row[1]['path includes'])).all():
pass
else:
nodes_in_path = np.unique(np.concatenate(
row[1]['path includes'])).astype(int).tolist()
nodes_in_path.remove(row[1]['from'])
nodes_in_path.remove(row[1]['to'])
if len(nodes_in_path) > 0:
bet[nodes_in_path, row[1]['t_start']] += 1
# Normalise bet
bet = (1/((bet.shape[0]-1)*(bet.shape[0]-2))) * bet
if calc == 'global':
bet = np.mean(bet, axis=1)
return bet | python | def temporal_betweenness_centrality(tnet=None, paths=None, calc='time'):
'''
Returns temporal betweenness centrality per node.
Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
calc : str
either 'global' or 'time'
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
normalized temporal betweenness centrality.
If calc = 'time', returns (node,time)
If calc = 'global', returns (node)
'''
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
bet = np.zeros([paths[['from', 'to']].max().max() +
1, paths['t_start'].max()+1])
for row in paths.iterrows():
if (np.isnan(row[1]['path includes'])).all():
pass
else:
nodes_in_path = np.unique(np.concatenate(
row[1]['path includes'])).astype(int).tolist()
nodes_in_path.remove(row[1]['from'])
nodes_in_path.remove(row[1]['to'])
if len(nodes_in_path) > 0:
bet[nodes_in_path, row[1]['t_start']] += 1
# Normalise bet
bet = (1/((bet.shape[0]-1)*(bet.shape[0]-2))) * bet
if calc == 'global':
bet = np.mean(bet, axis=1)
return bet | [
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Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
calc : str
either 'global' or 'time'
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
normalized temporal betweenness centrality.
If calc = 'time', returns (node,time)
If calc = 'global', returns (node) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/temporal_betweenness_centrality.py#L9-L72 | train | Returns temporal betweenness centrality per node. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(11663 - 11552) + chr(0b110011) + chr(1266 - 1216) + chr(2209 - 2159), 52704 - 52696), nzTpIcepk0o8(chr(1743 - 1695) + chr(0b10011 + 0o134) + chr(0b101101 + 0o4) + chr(0b101 + 0o53) + '\064', 0b1000), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b101100 + 0o103) + chr(970 - 920) + chr(0b110101 + 0o2) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(53) + chr(0b110000), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + chr(50) + chr(49), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1001101 + 0o42) + '\061' + chr(0b110111) + chr(48), ord("\x08")), nzTpIcepk0o8('\060' + chr(11845 - 11734) + chr(50) + chr(1254 - 1203) + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\x36' + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(731 - 683) + chr(0b111100 + 0o63) + '\062' + chr(2385 - 2332) + '\062', 0b1000), nzTpIcepk0o8(chr(1768 - 1720) + chr(111) + chr(55) + '\066', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1010100 + 0o33) + chr(0b10 + 0o57) + chr(0b101110 + 0o10) + chr(0b100110 + 0o16), 0o10), nzTpIcepk0o8('\x30' + chr(0b11010 + 0o125) + '\x32' + chr(1604 - 1549), 7465 - 7457), nzTpIcepk0o8('\060' + chr(7903 - 7792) + '\x32' + chr(0b110100) + chr(0b1111 + 0o45), 0b1000), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(5333 - 5222) + chr(952 - 901) + '\062' + '\060', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(454 - 406) + '\x6f' + '\x31' + chr(0b10101 + 0o33) + '\063', 0o10), nzTpIcepk0o8('\x30' + chr(0b10011 + 0o134) + chr(0b110011) + '\064' + chr(0b101000 + 0o13), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b100001 + 0o116) + '\063' + '\x32', 30771 - 30763), nzTpIcepk0o8('\x30' + '\x6f' + chr(90 - 40) + '\x36', 0b1000), nzTpIcepk0o8(chr(760 - 712) + '\157' + '\067' + chr(0b100010 + 0o22), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + chr(0b10000 + 0o42) + '\x34', ord("\x08")), nzTpIcepk0o8('\x30' + chr(9880 - 9769) + '\064', 0b1000), nzTpIcepk0o8('\060' + chr(10243 - 10132) + chr(0b110011) + chr(0b1110 + 0o50), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1884 - 1835) + chr(49) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x33' + chr(49) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1010010 + 0o35) + chr(51) + '\063' + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1100 + 0o143) + '\x31' + '\x30' + '\064', 8), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b1011101 + 0o22) + chr(0b10001 + 0o41) + '\065' + chr(2136 - 2085), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(626 - 572) + '\066', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(0b110110) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(231 - 181) + '\063' + chr(53), 0o10), nzTpIcepk0o8(chr(48) + chr(0b11 + 0o154) + chr(0b110001) + chr(54) + chr(133 - 82), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + chr(462 - 413), 0b1000), nzTpIcepk0o8(chr(1397 - 1349) + '\x6f' + chr(0b110010) + chr(50) + chr(0b110010), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(0b11111 + 0o24) + chr(49), 0o10), nzTpIcepk0o8('\060' + chr(111) + '\x31' + '\x37', ord("\x08")), nzTpIcepk0o8('\x30' + chr(10935 - 10824) + chr(50) + chr(542 - 493) + chr(0b110110), 19753 - 19745), nzTpIcepk0o8('\x30' + chr(7464 - 7353) + '\062' + chr(48) + chr(921 - 873), 22257 - 22249), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(209 - 159) + chr(0b110000) + chr(0b1011 + 0o45), 8), nzTpIcepk0o8('\060' + chr(0b100100 + 0o113) + chr(0b110010) + chr(0b10 + 0o62) + chr(439 - 390), 26592 - 26584)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(1191 - 1143) + '\x6f' + '\065' + chr(0b110000), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xfc'), chr(8452 - 8352) + chr(5068 - 4967) + chr(0b111101 + 0o46) + '\x6f' + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(7794 - 7692) + '\x2d' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Vn9Yvljdaotu(sHR__4_c0Uoo=None, IQFTbBEt8buE=None, hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xa6-\xd5M'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + '\070')):
if sHR__4_c0Uoo is not None and IQFTbBEt8buE is not None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x9d*\xd4Q\xf1\x16\xfdA\xddQ\x06|\x84\xbfqc\x93{bT\xf4mp:\xbe\xa9d\xcaZ\x9a\xf2\x04t\xf6w'), '\x64' + '\145' + chr(0b10 + 0o141) + chr(5880 - 5769) + chr(8520 - 8420) + chr(9013 - 8912))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(1899 - 1843)))
if sHR__4_c0Uoo is None and IQFTbBEt8buE is None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x9c+\x98A\xbf\x08\xedA\x84'), chr(0b101111 + 0o65) + '\x65' + chr(0b1100011) + '\x6f' + '\144' + '\145')(chr(0b11011 + 0o132) + '\x74' + chr(0b10010 + 0o124) + chr(1420 - 1375) + chr(0b111000)))
if sHR__4_c0Uoo is not None:
IQFTbBEt8buE = DekaYgFY7DH2(sHR__4_c0Uoo)
qN65OgviNvLR = nDF4gVNx0u9Q.UmwwEp7MzR6q([IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xb46\xd7E'), chr(0b10011 + 0o121) + chr(0b100110 + 0o77) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))('\165' + chr(0b111010 + 0o72) + chr(1715 - 1613) + chr(0b101101) + chr(288 - 232)), roI3spqORKae(ES5oEprVxulp(b'\xa6+'), chr(0b100101 + 0o77) + chr(3789 - 3688) + chr(992 - 893) + '\157' + '\x64' + '\145')('\165' + '\164' + chr(102) + chr(0b101011 + 0o2) + chr(0b10000 + 0o50))]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001), ord("\x08")), IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xa6\x1b\xcb\\\xb0\n\xec'), '\x64' + chr(101) + chr(0b1011111 + 0o4) + chr(1844 - 1733) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(56))].KV9ckIhroIia() + nzTpIcepk0o8(chr(0b110000) + chr(9245 - 9134) + chr(378 - 329), 8)])
for o6UWUO21mH25 in roI3spqORKae(IQFTbBEt8buE, roI3spqORKae(ES5oEprVxulp(b'\xbb0\xddZ\xa3\x17\xefF'), chr(0b1100100) + chr(2519 - 2418) + chr(0b101111 + 0o64) + chr(9360 - 9249) + chr(5606 - 5506) + '\145')(chr(0b1110101) + chr(116) + chr(0b1010 + 0o134) + chr(0b101101) + chr(56)))():
if roI3spqORKae(nDF4gVNx0u9Q.isnan(o6UWUO21mH25[nzTpIcepk0o8(chr(48) + chr(509 - 398) + chr(0b10111 + 0o32), 8)][roI3spqORKae(ES5oEprVxulp(b'\xa2%\xcc@\xf1\x11\xf6V\xc6K\x10r\xd7'), chr(0b111100 + 0o50) + chr(101) + '\143' + '\157' + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b101010 + 0o3) + '\x38')]), roI3spqORKae(ES5oEprVxulp(b'\xb3(\xd4'), chr(0b1011000 + 0o14) + chr(0b110001 + 0o64) + chr(7542 - 7443) + chr(10010 - 9899) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(5956 - 5854) + chr(0b101101) + chr(2663 - 2607)))():
pass
else:
yV4Arjqsj6SX = nDF4gVNx0u9Q.unique(nDF4gVNx0u9Q.concatenate(o6UWUO21mH25[nzTpIcepk0o8('\060' + chr(12001 - 11890) + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xa2%\xcc@\xf1\x11\xf6V\xc6K\x10r\xd7'), chr(2033 - 1933) + chr(9721 - 9620) + chr(99) + chr(0b11111 + 0o120) + chr(0b100010 + 0o102) + chr(0b1100101))(chr(117) + '\x74' + chr(0b100000 + 0o106) + chr(0b10110 + 0o27) + chr(1866 - 1810))])).astype(nzTpIcepk0o8).tolist()
roI3spqORKae(yV4Arjqsj6SX, roI3spqORKae(ES5oEprVxulp(b'\xa2\t\xd4}\xb9\x1c\xaa\x7f\xc7u5R'), chr(100) + chr(101) + '\143' + '\157' + chr(0b111 + 0o135) + chr(101))(chr(0b100111 + 0o116) + '\x74' + '\x66' + '\x2d' + '\x38'))(o6UWUO21mH25[nzTpIcepk0o8(chr(0b100010 + 0o16) + '\x6f' + chr(49), 8)][roI3spqORKae(ES5oEprVxulp(b'\xb46\xd7E'), chr(0b1100100) + chr(101) + '\143' + '\157' + chr(5198 - 5098) + chr(101))(chr(0b1110101) + chr(6309 - 6193) + chr(0b1100110) + chr(0b101101) + '\x38')])
roI3spqORKae(yV4Arjqsj6SX, roI3spqORKae(ES5oEprVxulp(b'\xa2\t\xd4}\xb9\x1c\xaa\x7f\xc7u5R'), chr(2312 - 2212) + chr(0b1000111 + 0o36) + '\x63' + chr(0b1101111) + chr(2077 - 1977) + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(749 - 704) + chr(0b1011 + 0o55)))(o6UWUO21mH25[nzTpIcepk0o8('\x30' + '\157' + chr(2186 - 2137), 8)][roI3spqORKae(ES5oEprVxulp(b'\xa6+'), '\x64' + chr(0b1010001 + 0o24) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(1479 - 1378))('\165' + chr(0b101110 + 0o106) + chr(102) + '\x2d' + chr(0b111000))])
if ftfygxgFas5X(yV4Arjqsj6SX) > nzTpIcepk0o8(chr(48) + '\157' + '\060', 0o10):
qN65OgviNvLR[yV4Arjqsj6SX, o6UWUO21mH25[nzTpIcepk0o8(chr(1025 - 977) + chr(111) + chr(49), 8)][roI3spqORKae(ES5oEprVxulp(b'\xa6\x1b\xcb\\\xb0\n\xec'), chr(0b1000110 + 0o36) + chr(0b1100101) + chr(3825 - 3726) + chr(111) + chr(6606 - 6506) + chr(0b1100101))(chr(2238 - 2121) + chr(0b1101000 + 0o14) + chr(0b1011100 + 0o12) + chr(0b10011 + 0o32) + chr(0b101101 + 0o13))]] += nzTpIcepk0o8('\x30' + chr(111) + '\061', 8)
qN65OgviNvLR = nzTpIcepk0o8(chr(212 - 164) + chr(0b1101111) + chr(0b10101 + 0o34), 8) / ((qN65OgviNvLR.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + '\157' + chr(0b110000), 8)] - nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(4491 - 4380) + chr(1656 - 1607), 8)) * (qN65OgviNvLR.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(0b100100 + 0o113) + chr(0b11010 + 0o26), 8)] - nzTpIcepk0o8('\x30' + '\157' + chr(0b10 + 0o60), 63352 - 63344))) * qN65OgviNvLR
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xb5(\xd7J\xb0\x14'), chr(100) + chr(0b1001101 + 0o30) + chr(0b101111 + 0o64) + '\157' + '\x64' + '\145')(chr(0b10000 + 0o145) + '\x74' + chr(0b1000010 + 0o44) + '\055' + chr(0b0 + 0o70)):
qN65OgviNvLR = nDF4gVNx0u9Q.JE1frtxECu3x(qN65OgviNvLR, axis=nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101100 + 0o5), 8))
return qN65OgviNvLR |
wiheto/teneto | teneto/networkmeasures/volatility.py | volatility | def volatility(tnet, distance_func_name='default', calc='global', communities=None, event_displacement=None):
r"""
Volatility of temporal networks.
Volatility is the average distance between consecutive time points of graphlets (difference is caclualted either globally or per edge).
Parameters
----------
tnet : array or dict
temporal network input (graphlet or contact). Nettype: 'bu','bd','wu','wd'
D : str
Distance function. Following options available: 'default', 'hamming', 'euclidean'. (Default implies hamming for binary networks, euclidean for weighted).
calc : str
Version of volaitility to caclulate. Possibilities include:
'global' - (default): the average distance of all nodes for each consecutive time point).
'edge' - average distance between consecutive time points for each edge). Takes considerably longer
'node' - (i.e. returns the average per node output when calculating volatility per 'edge').
'time' - returns volatility per time point
'communities' - returns volatility per communitieswork id (see communities). Also is returned per time-point and this may be changed in the future (with additional options)
'event_displacement' - calculates the volatility from a specified point. Returns time-series.
communities : array
Array of indicies for community (eiter (node) or (node,time) dimensions).
event_displacement : int
if calc = event_displacement specify the temporal index where all other time-points are calculated in relation too.
Notes
-----
Volatility calculates the difference between network snapshots.
.. math:: V_t = D(G_t,G_{t+1})
Where D is some distance function (e.g. Hamming distance for binary matrices).
V can be calculated for the entire network (global), but can also be calculated for individual edges, nodes or given a community vector.
Index of communities are returned "as is" with a shape of [max(communities)+1,max(communities)+1]. So if the indexes used are [1,2,3,5], V.shape==(6,6). The returning V[1,2] will correspond indexes 1 and 2. And missing index (e.g. here 0 and 4 will be NANs in rows and columns). If this behaviour is unwanted, call clean_communitiesdexes first. This will probably change.
Examples
--------
Import everything needed.
>>> import teneto
>>> import numpy
>>> np.random.seed(1)
>>> tnet = teneto.TemporalNetwork(nettype='bu')
Here we generate a binary network where edges have a 0.5 change of going "on", and once on a 0.2 change to go "off"
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,0.2))
Calculate the volatility
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.5555555555555556
If we change the probabilities to instead be certain edges disapeared the time-point after the appeared:
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,1))
This will make a more volatile network
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.1111111111111111
We can calculate the volatility per time instead
>>> vol_time = tnet.calc_networkmeasure('volatility', calc='time', distance_func_name='hamming')
>>> len(vol_time)
9
>>> vol_time[0]
0.3333333333333333
Or per node:
>>> vol_node = tnet.calc_networkmeasure('volatility', calc='node', distance_func_name='hamming')
>>> vol_node
array([0.07407407, 0.07407407, 0.07407407])
Here we see the volatility for each node was the same.
It is also possible to pass a community vector and the function will return volatility both within and between each community.
So the following has two communities:
>>> vol_com = tnet.calc_networkmeasure('volatility', calc='communities', communities=[0,1,1], distance_func_name='hamming')
>>> vol_com.shape
(2, 2, 9)
>>> vol_com[:,:,0]
array([[nan, 0.5],
[0.5, 0. ]])
And we see that, at time-point 0, there is some volatility between community 0 and 1 but no volatility within community 1. The reason for nan appearing is due to there only being 1 node in community 0.
Output
------
vol : array
"""
# Get input (C or G)
tnet, netinfo = process_input(tnet, ['C', 'G', 'TN'])
distance_func_name = check_distance_funciton_input(
distance_func_name, netinfo)
if not isinstance(distance_func_name, str):
raise ValueError('Distance metric must be a string')
# If not directional, only calc on the uppertriangle
if netinfo['nettype'][1] == 'd':
ind = np.triu_indices(tnet.shape[0], k=-tnet.shape[0])
elif netinfo['nettype'][1] == 'u':
ind = np.triu_indices(tnet.shape[0], k=1)
if calc == 'communities':
# Make sure communities is np array for indexing later on.
communities = np.array(communities)
if len(communities) != netinfo['netshape'][0]:
raise ValueError(
'When processing per network, communities vector must equal the number of nodes')
if communities.min() < 0:
raise ValueError(
'Communitiy assignments must be positive integers')
# Get chosen distance metric fucntion
distance_func = getDistanceFunction(distance_func_name)
if calc == 'global':
vol = np.mean([distance_func(tnet[ind[0], ind[1], t], tnet[ind[0], ind[1], t + 1])
for t in range(0, tnet.shape[-1] - 1)])
elif calc == 'time':
vol = [distance_func(tnet[ind[0], ind[1], t], tnet[ind[0], ind[1], t + 1])
for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'event_displacement':
vol = [distance_func(tnet[ind[0], ind[1], event_displacement],
tnet[ind[0], ind[1], t]) for t in range(0, tnet.shape[-1])]
# This takes quite a bit of time to loop through. When calculating per edge/node.
elif calc == 'edge' or calc == 'node':
vol = np.zeros([tnet.shape[0], tnet.shape[1]])
for i in ind[0]:
for j in ind[1]:
vol[i, j] = np.mean([distance_func(
tnet[i, j, t], tnet[i, j, t + 1]) for t in range(0, tnet.shape[-1] - 1)])
if netinfo['nettype'][1] == 'u':
vol = vol + np.transpose(vol)
if calc == 'node':
vol = np.mean(vol, axis=1)
elif calc == 'communities':
net_id = set(communities)
vol = np.zeros([max(net_id) + 1, max(net_id) +
1, netinfo['netshape'][-1] - 1])
for net1 in net_id:
for net2 in net_id:
if net1 != net2:
vol[net1, net2, :] = [distance_func(tnet[communities == net1][:, communities == net2, t].flatten(),
tnet[communities == net1][:, communities == net2, t + 1].flatten()) for t in range(0, tnet.shape[-1] - 1)]
else:
nettmp = tnet[communities ==
net1][:, communities == net2, :]
triu = np.triu_indices(nettmp.shape[0], k=1)
nettmp = nettmp[triu[0], triu[1], :]
vol[net1, net2, :] = [distance_func(nettmp[:, t].flatten(
), nettmp[:, t + 1].flatten()) for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'withincommunities':
withi = np.array([[ind[0][n], ind[1][n]] for n in range(
0, len(ind[0])) if communities[ind[0][n]] == communities[ind[1][n]]])
vol = [distance_func(tnet[withi[:, 0], withi[:, 1], t], tnet[withi[:, 0],
withi[:, 1], t + 1]) for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'betweencommunities':
beti = np.array([[ind[0][n], ind[1][n]] for n in range(
0, len(ind[0])) if communities[ind[0][n]] != communities[ind[1][n]]])
vol = [distance_func(tnet[beti[:, 0], beti[:, 1], t], tnet[beti[:, 0],
beti[:, 1], t + 1]) for t in range(0, tnet.shape[-1] - 1)]
return vol | python | def volatility(tnet, distance_func_name='default', calc='global', communities=None, event_displacement=None):
r"""
Volatility of temporal networks.
Volatility is the average distance between consecutive time points of graphlets (difference is caclualted either globally or per edge).
Parameters
----------
tnet : array or dict
temporal network input (graphlet or contact). Nettype: 'bu','bd','wu','wd'
D : str
Distance function. Following options available: 'default', 'hamming', 'euclidean'. (Default implies hamming for binary networks, euclidean for weighted).
calc : str
Version of volaitility to caclulate. Possibilities include:
'global' - (default): the average distance of all nodes for each consecutive time point).
'edge' - average distance between consecutive time points for each edge). Takes considerably longer
'node' - (i.e. returns the average per node output when calculating volatility per 'edge').
'time' - returns volatility per time point
'communities' - returns volatility per communitieswork id (see communities). Also is returned per time-point and this may be changed in the future (with additional options)
'event_displacement' - calculates the volatility from a specified point. Returns time-series.
communities : array
Array of indicies for community (eiter (node) or (node,time) dimensions).
event_displacement : int
if calc = event_displacement specify the temporal index where all other time-points are calculated in relation too.
Notes
-----
Volatility calculates the difference between network snapshots.
.. math:: V_t = D(G_t,G_{t+1})
Where D is some distance function (e.g. Hamming distance for binary matrices).
V can be calculated for the entire network (global), but can also be calculated for individual edges, nodes or given a community vector.
Index of communities are returned "as is" with a shape of [max(communities)+1,max(communities)+1]. So if the indexes used are [1,2,3,5], V.shape==(6,6). The returning V[1,2] will correspond indexes 1 and 2. And missing index (e.g. here 0 and 4 will be NANs in rows and columns). If this behaviour is unwanted, call clean_communitiesdexes first. This will probably change.
Examples
--------
Import everything needed.
>>> import teneto
>>> import numpy
>>> np.random.seed(1)
>>> tnet = teneto.TemporalNetwork(nettype='bu')
Here we generate a binary network where edges have a 0.5 change of going "on", and once on a 0.2 change to go "off"
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,0.2))
Calculate the volatility
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.5555555555555556
If we change the probabilities to instead be certain edges disapeared the time-point after the appeared:
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,1))
This will make a more volatile network
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.1111111111111111
We can calculate the volatility per time instead
>>> vol_time = tnet.calc_networkmeasure('volatility', calc='time', distance_func_name='hamming')
>>> len(vol_time)
9
>>> vol_time[0]
0.3333333333333333
Or per node:
>>> vol_node = tnet.calc_networkmeasure('volatility', calc='node', distance_func_name='hamming')
>>> vol_node
array([0.07407407, 0.07407407, 0.07407407])
Here we see the volatility for each node was the same.
It is also possible to pass a community vector and the function will return volatility both within and between each community.
So the following has two communities:
>>> vol_com = tnet.calc_networkmeasure('volatility', calc='communities', communities=[0,1,1], distance_func_name='hamming')
>>> vol_com.shape
(2, 2, 9)
>>> vol_com[:,:,0]
array([[nan, 0.5],
[0.5, 0. ]])
And we see that, at time-point 0, there is some volatility between community 0 and 1 but no volatility within community 1. The reason for nan appearing is due to there only being 1 node in community 0.
Output
------
vol : array
"""
# Get input (C or G)
tnet, netinfo = process_input(tnet, ['C', 'G', 'TN'])
distance_func_name = check_distance_funciton_input(
distance_func_name, netinfo)
if not isinstance(distance_func_name, str):
raise ValueError('Distance metric must be a string')
# If not directional, only calc on the uppertriangle
if netinfo['nettype'][1] == 'd':
ind = np.triu_indices(tnet.shape[0], k=-tnet.shape[0])
elif netinfo['nettype'][1] == 'u':
ind = np.triu_indices(tnet.shape[0], k=1)
if calc == 'communities':
# Make sure communities is np array for indexing later on.
communities = np.array(communities)
if len(communities) != netinfo['netshape'][0]:
raise ValueError(
'When processing per network, communities vector must equal the number of nodes')
if communities.min() < 0:
raise ValueError(
'Communitiy assignments must be positive integers')
# Get chosen distance metric fucntion
distance_func = getDistanceFunction(distance_func_name)
if calc == 'global':
vol = np.mean([distance_func(tnet[ind[0], ind[1], t], tnet[ind[0], ind[1], t + 1])
for t in range(0, tnet.shape[-1] - 1)])
elif calc == 'time':
vol = [distance_func(tnet[ind[0], ind[1], t], tnet[ind[0], ind[1], t + 1])
for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'event_displacement':
vol = [distance_func(tnet[ind[0], ind[1], event_displacement],
tnet[ind[0], ind[1], t]) for t in range(0, tnet.shape[-1])]
# This takes quite a bit of time to loop through. When calculating per edge/node.
elif calc == 'edge' or calc == 'node':
vol = np.zeros([tnet.shape[0], tnet.shape[1]])
for i in ind[0]:
for j in ind[1]:
vol[i, j] = np.mean([distance_func(
tnet[i, j, t], tnet[i, j, t + 1]) for t in range(0, tnet.shape[-1] - 1)])
if netinfo['nettype'][1] == 'u':
vol = vol + np.transpose(vol)
if calc == 'node':
vol = np.mean(vol, axis=1)
elif calc == 'communities':
net_id = set(communities)
vol = np.zeros([max(net_id) + 1, max(net_id) +
1, netinfo['netshape'][-1] - 1])
for net1 in net_id:
for net2 in net_id:
if net1 != net2:
vol[net1, net2, :] = [distance_func(tnet[communities == net1][:, communities == net2, t].flatten(),
tnet[communities == net1][:, communities == net2, t + 1].flatten()) for t in range(0, tnet.shape[-1] - 1)]
else:
nettmp = tnet[communities ==
net1][:, communities == net2, :]
triu = np.triu_indices(nettmp.shape[0], k=1)
nettmp = nettmp[triu[0], triu[1], :]
vol[net1, net2, :] = [distance_func(nettmp[:, t].flatten(
), nettmp[:, t + 1].flatten()) for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'withincommunities':
withi = np.array([[ind[0][n], ind[1][n]] for n in range(
0, len(ind[0])) if communities[ind[0][n]] == communities[ind[1][n]]])
vol = [distance_func(tnet[withi[:, 0], withi[:, 1], t], tnet[withi[:, 0],
withi[:, 1], t + 1]) for t in range(0, tnet.shape[-1] - 1)]
elif calc == 'betweencommunities':
beti = np.array([[ind[0][n], ind[1][n]] for n in range(
0, len(ind[0])) if communities[ind[0][n]] != communities[ind[1][n]]])
vol = [distance_func(tnet[beti[:, 0], beti[:, 1], t], tnet[beti[:, 0],
beti[:, 1], t + 1]) for t in range(0, tnet.shape[-1] - 1)]
return vol | [
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... | r"""
Volatility of temporal networks.
Volatility is the average distance between consecutive time points of graphlets (difference is caclualted either globally or per edge).
Parameters
----------
tnet : array or dict
temporal network input (graphlet or contact). Nettype: 'bu','bd','wu','wd'
D : str
Distance function. Following options available: 'default', 'hamming', 'euclidean'. (Default implies hamming for binary networks, euclidean for weighted).
calc : str
Version of volaitility to caclulate. Possibilities include:
'global' - (default): the average distance of all nodes for each consecutive time point).
'edge' - average distance between consecutive time points for each edge). Takes considerably longer
'node' - (i.e. returns the average per node output when calculating volatility per 'edge').
'time' - returns volatility per time point
'communities' - returns volatility per communitieswork id (see communities). Also is returned per time-point and this may be changed in the future (with additional options)
'event_displacement' - calculates the volatility from a specified point. Returns time-series.
communities : array
Array of indicies for community (eiter (node) or (node,time) dimensions).
event_displacement : int
if calc = event_displacement specify the temporal index where all other time-points are calculated in relation too.
Notes
-----
Volatility calculates the difference between network snapshots.
.. math:: V_t = D(G_t,G_{t+1})
Where D is some distance function (e.g. Hamming distance for binary matrices).
V can be calculated for the entire network (global), but can also be calculated for individual edges, nodes or given a community vector.
Index of communities are returned "as is" with a shape of [max(communities)+1,max(communities)+1]. So if the indexes used are [1,2,3,5], V.shape==(6,6). The returning V[1,2] will correspond indexes 1 and 2. And missing index (e.g. here 0 and 4 will be NANs in rows and columns). If this behaviour is unwanted, call clean_communitiesdexes first. This will probably change.
Examples
--------
Import everything needed.
>>> import teneto
>>> import numpy
>>> np.random.seed(1)
>>> tnet = teneto.TemporalNetwork(nettype='bu')
Here we generate a binary network where edges have a 0.5 change of going "on", and once on a 0.2 change to go "off"
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,0.2))
Calculate the volatility
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.5555555555555556
If we change the probabilities to instead be certain edges disapeared the time-point after the appeared:
>>> tnet.generatenetwork('rand_binomial', size=(3,10), prob=(0.5,1))
This will make a more volatile network
>>> tnet.calc_networkmeasure('volatility', distance_func_name='hamming')
0.1111111111111111
We can calculate the volatility per time instead
>>> vol_time = tnet.calc_networkmeasure('volatility', calc='time', distance_func_name='hamming')
>>> len(vol_time)
9
>>> vol_time[0]
0.3333333333333333
Or per node:
>>> vol_node = tnet.calc_networkmeasure('volatility', calc='node', distance_func_name='hamming')
>>> vol_node
array([0.07407407, 0.07407407, 0.07407407])
Here we see the volatility for each node was the same.
It is also possible to pass a community vector and the function will return volatility both within and between each community.
So the following has two communities:
>>> vol_com = tnet.calc_networkmeasure('volatility', calc='communities', communities=[0,1,1], distance_func_name='hamming')
>>> vol_com.shape
(2, 2, 9)
>>> vol_com[:,:,0]
array([[nan, 0.5],
[0.5, 0. ]])
And we see that, at time-point 0, there is some volatility between community 0 and 1 but no volatility within community 1. The reason for nan appearing is due to there only being 1 node in community 0.
Output
------
vol : array | [
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"networks",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/volatility.py#L5-L188 | train | r Returns a volatility of a temporal network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b11 + 0o55) + chr(111) + '\063' + '\x35' + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + '\060' + chr(0b111 + 0o53), 0o10), nzTpIcepk0o8(chr(989 - 941) + chr(0b1101111) + chr(0b1111 + 0o43) + '\061' + chr(1164 - 1110), 36835 - 36827), nzTpIcepk0o8('\060' + chr(8222 - 8111) + '\063' + '\x30' + chr(0b100100 + 0o20), 0b1000), nzTpIcepk0o8(chr(2219 - 2171) + chr(0b110111 + 0o70) + '\067', 0b1000), nzTpIcepk0o8(chr(48) + chr(7568 - 7457) + chr(0b110001) + chr(0b110011) + '\x33', 0b1000), nzTpIcepk0o8('\x30' + chr(0b101110 + 0o101) + '\061', ord("\x08")), nzTpIcepk0o8('\060' + chr(5668 - 5557) + '\061' + '\067', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x34', 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\x33' + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(0b1101111) + chr(1429 - 1380) + chr(0b10111 + 0o32) + '\062', 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + '\x6f' + chr(0b110100), 8), nzTpIcepk0o8('\060' + '\x6f' + '\067' + chr(0b110100), 45461 - 45453), nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(111) + chr(0b11011 + 0o30) + '\x36' + chr(2817 - 2763), 0o10), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b101010 + 0o105) + '\x32' + '\062' + chr(0b110100 + 0o2), ord("\x08")), nzTpIcepk0o8(chr(928 - 880) + chr(2482 - 2371) + '\x32' + '\063', 7852 - 7844), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061' + chr(0b1010 + 0o52) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + chr(1051 - 1001) + chr(54), 25011 - 25003), nzTpIcepk0o8(chr(0b110000) + '\157' + '\062' + '\061' + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(2274 - 2163) + '\x31' + '\x34' + chr(1140 - 1089), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(2305 - 2253) + '\061', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b110000) + chr(0b101100 + 0o13), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100101 + 0o21) + chr(51), 30120 - 30112), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(4368 - 4257) + '\x33' + chr(52) + chr(53), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b101100 + 0o5) + chr(54) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\062' + '\066' + '\x33', 11264 - 11256), nzTpIcepk0o8('\060' + '\x6f' + chr(0b10000 + 0o42) + chr(0b110110) + chr(0b110111), 0b1000), nzTpIcepk0o8('\x30' + chr(0b0 + 0o157) + chr(1592 - 1541) + chr(0b10110 + 0o33) + chr(53), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\065' + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + chr(51), 8), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(0b1010110 + 0o31) + chr(0b110010) + '\062' + chr(0b100101 + 0o20), 0b1000), nzTpIcepk0o8('\x30' + chr(10500 - 10389) + chr(1992 - 1941) + chr(1280 - 1228) + '\063', ord("\x08")), nzTpIcepk0o8(chr(289 - 241) + '\157' + '\063' + '\061' + chr(1075 - 1023), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + chr(1737 - 1685) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b101101 + 0o3) + '\157' + '\x32' + '\067' + '\067', 32580 - 32572), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b10100 + 0o43) + chr(0b110011), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(0b110100 + 0o3) + chr(0b110 + 0o56), 43186 - 43178), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + chr(0b110110) + '\064', 0o10), nzTpIcepk0o8(chr(563 - 515) + chr(0b1101000 + 0o7) + chr(50) + chr(51) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(1552 - 1501), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\x6f' + '\x35' + chr(0b100001 + 0o17), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xc6'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(116) + '\146' + chr(0b1100 + 0o41) + chr(449 - 393)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def novtLRD1YZ9z(sHR__4_c0Uoo, M8_BmcOiRPe7=roI3spqORKae(ES5oEprVxulp(b'\x8c\xa7\xe8\xa5r7u'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(6165 - 6063) + chr(0b101101) + chr(819 - 763)), hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\x8f\xae\xe1\xa6f7'), '\x64' + '\145' + '\x63' + chr(0b1110 + 0o141) + '\x64' + chr(0b100011 + 0o102))(chr(0b111000 + 0o75) + chr(0b1000 + 0o154) + chr(966 - 864) + chr(45) + chr(56)), zoiuJtv6Z4HM=None, WOAwRL1nfpg9=None):
(sHR__4_c0Uoo, CHqJ5ht8kzQa) = RMWMODhhKksQ(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b'\xab'), chr(0b1100100) + '\x65' + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(0b1110101) + chr(0b1010 + 0o152) + chr(0b1100110) + chr(1621 - 1576) + chr(1142 - 1086)), roI3spqORKae(ES5oEprVxulp(b'\xaf'), chr(100) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(2142 - 2041))(chr(117) + chr(116) + '\x66' + '\055' + chr(0b110000 + 0o10)), roI3spqORKae(ES5oEprVxulp(b'\xbc\x8c'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(8588 - 8488) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + '\070')])
M8_BmcOiRPe7 = nfgEaVzWV0cv(M8_BmcOiRPe7, CHqJ5ht8kzQa)
if not suIjIS24Zkqw(M8_BmcOiRPe7, N9zlRy29S1SS):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xac\xab\xfd\xb0f5bj$q/pN\x9f\xf53\t#\xff\x17\x01\xa5V\xc5\x11\x93\xc4\xb9^z\xfb\x84'), chr(0b1001110 + 0o26) + chr(101) + chr(99) + chr(0b11 + 0o154) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(2642 - 2526) + chr(102) + chr(1217 - 1172) + chr(1099 - 1043)))
if CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x86\xa7\xfa\xb0~+d'), chr(0b1100100) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1011 + 0o132))('\x75' + '\x74' + '\146' + chr(881 - 836) + chr(0b111000))][nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42), 8)] == roI3spqORKae(ES5oEprVxulp(b'\x8c'), chr(1065 - 965) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1000011 + 0o41) + chr(1332 - 1231))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'):
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(sHR__4_c0Uoo.lhbM092AFW8f[nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + chr(48), 62827 - 62819)], k=-sHR__4_c0Uoo.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110000 + 0o0), 8)])
elif CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x86\xa7\xfa\xb0~+d'), chr(0b1011110 + 0o6) + chr(1751 - 1650) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(0b1111 + 0o146) + chr(0b1110100) + '\146' + chr(0b10111 + 0o26) + '\x38')][nzTpIcepk0o8('\060' + chr(111) + chr(0b111 + 0o52), 8)] == roI3spqORKae(ES5oEprVxulp(b'\x9d'), chr(0b1001100 + 0o30) + '\145' + chr(0b1100011) + chr(111) + chr(0b110010 + 0o62) + chr(0b1100101))(chr(0b101101 + 0o110) + chr(0b100000 + 0o124) + chr(102) + chr(222 - 177) + '\070'):
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(sHR__4_c0Uoo.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(8443 - 8332) + chr(0b1010 + 0o46), 8)], k=nzTpIcepk0o8('\x30' + chr(0b1000011 + 0o54) + '\061', 8))
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x8b\xad\xe3\xa9r5h{my9'), '\144' + '\x65' + chr(0b1100011) + '\157' + chr(0b100101 + 0o77) + chr(0b1011000 + 0o15))('\x75' + '\164' + chr(6301 - 6199) + chr(45) + chr(0b111000)):
zoiuJtv6Z4HM = nDF4gVNx0u9Q.Tn6rGr7XTM7t(zoiuJtv6Z4HM)
if ftfygxgFas5X(zoiuJtv6Z4HM) != CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x86\xa7\xfa\xb7o:qj'), '\144' + '\x65' + chr(459 - 360) + '\x6f' + chr(1720 - 1620) + chr(3202 - 3101))(chr(117) + '\164' + chr(0b10101 + 0o121) + chr(1384 - 1339) + chr(2410 - 2354))][nzTpIcepk0o8(chr(750 - 702) + chr(9723 - 9612) + chr(0b110000), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b"\xbf\xaa\xeb\xaa'+s`gy9wU\x98\xf13\x143\xfeCO\xa2G\x92\x1f\xc1\xdc\xe1\x0cp\xfa\x8e\xa1\x13\xd1\x92\x88\x1d\xffp\xc8\xb4\xeb\xa7s4s/ii9p\x1c\x93\xe7f\x05:\xac\x17I\xa2\x13\x8b\x05\xde\xd5\xa8^3\xfa\x85\xec\x08\xd0\x9f\x99\x07"), chr(0b1100100) + '\145' + '\143' + '\157' + '\x64' + chr(0b10000 + 0o125))(chr(0b101110 + 0o107) + chr(3170 - 3054) + chr(0b1100110) + chr(0b101101) + '\070'))
if roI3spqORKae(zoiuJtv6Z4HM, roI3spqORKae(ES5oEprVxulp(b'\xb0\x97\xdc\xb4j\x0btJS_\x04B'), chr(100) + chr(101) + chr(1129 - 1030) + chr(0b110110 + 0o71) + chr(1614 - 1514) + chr(1318 - 1217))('\x75' + chr(116) + '\146' + chr(0b101101) + chr(253 - 197)))() < nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xab\xad\xe3\xa9r5h{mejeO\x85\xfft\n;\xe9\rU\xb4\x13\x88\x05\xc0\xc3\xedNv\xb5\x93\xa3\x15\xd6\x8f\x95\x02\xff#\x81\xac\xfa\xa1`>s|'), chr(100) + chr(0b1100 + 0o131) + chr(0b1100011) + chr(11372 - 11261) + chr(4903 - 4803) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(2542 - 2486)))
x0Y0R7paR9rr = EOkOw5Zeza5w(M8_BmcOiRPe7)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x8f\xae\xe1\xa6f7'), chr(100) + chr(101) + chr(0b1100010 + 0o1) + chr(0b1101001 + 0o6) + chr(100) + '\x65')('\165' + '\x74' + '\x66' + '\x2d' + chr(56)):
RPCRorQZSDUy = nDF4gVNx0u9Q.JE1frtxECu3x([x0Y0R7paR9rr(sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(392 - 344) + chr(111) + '\x31', 8)], h3Vc_4wxEbgd], sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8(chr(1558 - 1510) + '\157' + chr(0b100000 + 0o20), 8)], w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(111) + chr(0b110001), 8)], h3Vc_4wxEbgd + nzTpIcepk0o8(chr(590 - 542) + chr(0b1101111) + chr(1082 - 1033), 8)]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b10001 + 0o37) + '\157' + '\060', 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(77 - 29) + '\157' + '\x31', 8)] - nzTpIcepk0o8(chr(48) + chr(3112 - 3001) + chr(0b11110 + 0o23), 8))])
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x9c\xab\xe3\xa1'), chr(100) + '\x65' + '\x63' + chr(7243 - 7132) + '\144' + '\145')(chr(5271 - 5154) + '\x74' + chr(0b10101 + 0o121) + '\x2d' + chr(56)):
RPCRorQZSDUy = [x0Y0R7paR9rr(sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + chr(0b1011010 + 0o25) + chr(1611 - 1563), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101110 + 0o3), 8)], h3Vc_4wxEbgd], sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b101111 + 0o1) + '\157' + chr(1170 - 1122), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(1972 - 1924) + chr(111) + chr(49), 8)], h3Vc_4wxEbgd + nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001), 8)]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8('\x30' + chr(111) + '\060', 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(602 - 554) + chr(0b1101001 + 0o6) + '\061', 8)] - nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(0b1101111) + '\061', 8))]
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x8d\xb4\xeb\xaas\x04efwl&e_\x93\xfbv\n"'), chr(0b101101 + 0o67) + chr(0b1100101) + chr(0b1100011) + chr(0b101100 + 0o103) + '\144' + '\x65')('\165' + '\164' + '\x66' + '\055' + '\070'):
RPCRorQZSDUy = [x0Y0R7paR9rr(sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(0b101 + 0o152) + chr(48), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b11001 + 0o30), 8)], WOAwRL1nfpg9], sHR__4_c0Uoo[w5vcgUzFN3bF[nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)], w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49), 8)], h3Vc_4wxEbgd]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(727 - 679) + '\x6f' + chr(230 - 182), 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b1101 + 0o44), 8)])]
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x8d\xa6\xe9\xa1'), '\x64' + chr(328 - 227) + chr(0b1000000 + 0o43) + chr(111) + chr(0b1100100) + chr(4438 - 4337))(chr(117) + chr(0b1100 + 0o150) + '\x66' + '\055' + chr(0b1001 + 0o57)) or hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x86\xad\xea\xa1'), '\144' + chr(0b1100101) + chr(99) + chr(5651 - 5540) + '\144' + chr(9301 - 9200))('\x75' + '\164' + chr(7737 - 7635) + chr(45) + chr(402 - 346)):
RPCRorQZSDUy = nDF4gVNx0u9Q.UmwwEp7MzR6q([sHR__4_c0Uoo.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(9341 - 9230) + chr(1987 - 1939), 8)], sHR__4_c0Uoo.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001), 8)]])
for ZlbFMSG8gCoF in w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2283 - 2235), 8)]:
for sChW4gUsXrIC in w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b11 + 0o56), 8)]:
RPCRorQZSDUy[ZlbFMSG8gCoF, sChW4gUsXrIC] = nDF4gVNx0u9Q.JE1frtxECu3x([x0Y0R7paR9rr(sHR__4_c0Uoo[ZlbFMSG8gCoF, sChW4gUsXrIC, h3Vc_4wxEbgd], sHR__4_c0Uoo[ZlbFMSG8gCoF, sChW4gUsXrIC, h3Vc_4wxEbgd + nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(8346 - 8235) + chr(0b1011 + 0o46), 8)]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8('\060' + chr(0b1001111 + 0o40) + chr(0b101 + 0o53), 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x31', 8)] - nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001), 8))])
if CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x86\xa7\xfa\xb0~+d'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(4679 - 4562) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070')][nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(0b11010 + 0o125) + '\x31', 8)] == roI3spqORKae(ES5oEprVxulp(b'\x9d'), chr(5571 - 5471) + chr(0b1011010 + 0o13) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(983 - 938) + chr(0b1000 + 0o60)):
RPCRorQZSDUy = RPCRorQZSDUy + nDF4gVNx0u9Q.transpose(RPCRorQZSDUy)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x86\xad\xea\xa1'), chr(0b1100100) + chr(0b10011 + 0o122) + '\143' + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(6645 - 6529) + chr(0b10001 + 0o125) + chr(45) + chr(0b111000)):
RPCRorQZSDUy = nDF4gVNx0u9Q.JE1frtxECu3x(RPCRorQZSDUy, axis=nzTpIcepk0o8('\x30' + '\x6f' + chr(49), 8))
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x8b\xad\xe3\xa9r5h{my9'), '\x64' + chr(9550 - 9449) + chr(0b1100011) + chr(4937 - 4826) + chr(100) + '\x65')('\x75' + chr(1772 - 1656) + '\146' + chr(0b101101) + chr(0b1010 + 0o56)):
KDMAHzkE65H7 = Bvi71nNyvlqO(zoiuJtv6Z4HM)
RPCRorQZSDUy = nDF4gVNx0u9Q.UmwwEp7MzR6q([KV9ckIhroIia(KDMAHzkE65H7) + nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b11111 + 0o22), 8), KV9ckIhroIia(KDMAHzkE65H7) + nzTpIcepk0o8(chr(0b11010 + 0o26) + '\157' + chr(1411 - 1362), 8), CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x86\xa7\xfa\xb7o:qj'), '\x64' + '\x65' + chr(0b10010 + 0o121) + chr(0b1101111) + chr(0b1100100) + chr(8851 - 8750))(chr(0b1011001 + 0o34) + chr(0b1110100 + 0o0) + '\146' + chr(0b101011 + 0o2) + chr(1145 - 1089))][-nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001), 8)] - nzTpIcepk0o8(chr(48) + chr(2644 - 2533) + chr(713 - 664), 8)])
for Fu3lxShQYSp5 in KDMAHzkE65H7:
for CMdjTTFh19mv in KDMAHzkE65H7:
if Fu3lxShQYSp5 != CMdjTTFh19mv:
RPCRorQZSDUy[Fu3lxShQYSp5, CMdjTTFh19mv, :] = [x0Y0R7paR9rr(sHR__4_c0Uoo[zoiuJtv6Z4HM == Fu3lxShQYSp5][:, zoiuJtv6Z4HM == CMdjTTFh19mv, h3Vc_4wxEbgd].flatten(), sHR__4_c0Uoo[zoiuJtv6Z4HM == Fu3lxShQYSp5][:, zoiuJtv6Z4HM == CMdjTTFh19mv, h3Vc_4wxEbgd + nzTpIcepk0o8('\x30' + '\157' + chr(49), 8)].flatten()) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b10111 + 0o31) + '\x6f' + chr(408 - 360), 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(1663 - 1615) + chr(0b1101111) + chr(0b110001), 8)] - nzTpIcepk0o8(chr(799 - 751) + chr(0b101100 + 0o103) + '\x31', 8))]
else:
mjisOjYpuOkx = sHR__4_c0Uoo[zoiuJtv6Z4HM == Fu3lxShQYSp5][:, zoiuJtv6Z4HM == CMdjTTFh19mv, :]
TBKWC_KytB34 = nDF4gVNx0u9Q.yY6ThOiDnTjT(mjisOjYpuOkx.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110000), 8)], k=nzTpIcepk0o8(chr(863 - 815) + '\x6f' + chr(0b11001 + 0o30), 8))
mjisOjYpuOkx = mjisOjYpuOkx[TBKWC_KytB34[nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(4839 - 4728) + '\x30', 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(0b1000001 + 0o56) + chr(49), 8)], :]
RPCRorQZSDUy[Fu3lxShQYSp5, CMdjTTFh19mv, :] = [x0Y0R7paR9rr(mjisOjYpuOkx[:, h3Vc_4wxEbgd].flatten(), mjisOjYpuOkx[:, h3Vc_4wxEbgd + nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(719 - 670), 8)].flatten()) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b110000) + chr(3796 - 3685) + '\060', 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2160 - 2111), 8)] - nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49), 8))]
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\x9f\xab\xfa\xacn5b`iq?jU\x82\xffv\x17'), chr(8143 - 8043) + chr(0b100111 + 0o76) + chr(1483 - 1384) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(5363 - 5246) + chr(116) + '\146' + chr(45) + chr(2985 - 2929)):
o0ddoyddz6F2 = nDF4gVNx0u9Q.Tn6rGr7XTM7t([[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b111 + 0o51) + chr(5800 - 5689) + chr(2214 - 2166), 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(1248 - 1200) + '\x6f' + '\x31', 8)][NoZxuO7wjArS]] for NoZxuO7wjArS in bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + chr(10919 - 10808) + chr(0b0 + 0o60), 8), ftfygxgFas5X(w5vcgUzFN3bF[nzTpIcepk0o8(chr(2270 - 2222) + chr(0b1101111) + chr(586 - 538), 8)])) if zoiuJtv6Z4HM[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o15), 8)][NoZxuO7wjArS]] == zoiuJtv6Z4HM[w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(7041 - 6930) + chr(0b110001), 8)][NoZxuO7wjArS]]])
RPCRorQZSDUy = [x0Y0R7paR9rr(sHR__4_c0Uoo[o0ddoyddz6F2[:, nzTpIcepk0o8('\060' + '\x6f' + chr(0b10100 + 0o34), 8)], o0ddoyddz6F2[:, nzTpIcepk0o8('\x30' + '\x6f' + '\x31', 8)], h3Vc_4wxEbgd], sHR__4_c0Uoo[o0ddoyddz6F2[:, nzTpIcepk0o8(chr(71 - 23) + chr(111) + chr(48), 8)], o0ddoyddz6F2[:, nzTpIcepk0o8('\060' + chr(0b111100 + 0o63) + '\061', 8)], h3Vc_4wxEbgd + nzTpIcepk0o8(chr(48) + '\157' + chr(1028 - 979), 8)]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + chr(48), 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(7072 - 6961) + chr(0b110001), 8)] - nzTpIcepk0o8('\060' + '\x6f' + chr(0b101100 + 0o5), 8))]
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b"\x8a\xa7\xfa\xb3b>olkq'qR\x9f\xe2z\x01%"), chr(0b1100100) + chr(0b101110 + 0o67) + chr(1468 - 1369) + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)):
AiMpX8httJ0s = nDF4gVNx0u9Q.Tn6rGr7XTM7t([[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(111) + '\060', 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + '\x6f' + '\x31', 8)][NoZxuO7wjArS]] for NoZxuO7wjArS in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + '\x30', 8), ftfygxgFas5X(w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(6076 - 5965) + chr(0b110000), 8)])) if zoiuJtv6Z4HM[w5vcgUzFN3bF[nzTpIcepk0o8(chr(1738 - 1690) + chr(0b11001 + 0o126) + '\060', 8)][NoZxuO7wjArS]] != zoiuJtv6Z4HM[w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + chr(0b11 + 0o154) + '\061', 8)][NoZxuO7wjArS]]])
RPCRorQZSDUy = [x0Y0R7paR9rr(sHR__4_c0Uoo[AiMpX8httJ0s[:, nzTpIcepk0o8(chr(0b110000) + chr(7765 - 7654) + '\060', 8)], AiMpX8httJ0s[:, nzTpIcepk0o8(chr(48) + '\157' + '\x31', 8)], h3Vc_4wxEbgd], sHR__4_c0Uoo[AiMpX8httJ0s[:, nzTpIcepk0o8(chr(0b110000) + chr(6236 - 6125) + '\060', 8)], AiMpX8httJ0s[:, nzTpIcepk0o8('\060' + chr(11792 - 11681) + chr(0b1101 + 0o44), 8)], h3Vc_4wxEbgd + nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001), 8)]) for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(0b1100011 + 0o14) + '\060', 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(1077 - 1029) + chr(111) + chr(0b110001), 8)] - nzTpIcepk0o8('\x30' + chr(111) + '\061', 8))]
return RPCRorQZSDUy |
wiheto/teneto | teneto/temporalcommunity/allegiance.py | allegiance | def allegiance(community):
"""
Computes the allegiance matrix with values representing the probability that
nodes i and j were assigned to the same community by time-varying clustering methods.
parameters
----------
community : array
array of community assignment of size node,time
returns
-------
P : array
module allegiance matrix, with P_ij probability that area i and j are in the same community
Reference:
----------
Bassett, et al. (2013) “Robust detection of dynamic community structure in networks”, Chaos, 23, 1
"""
N = community.shape[0]
C = community.shape[1]
T = P = np.zeros([N, N])
for t in range(len(community[0, :])):
for i in range(len(community[:, 0])):
for j in range(len(community[:, 0])):
if i == j:
continue
# T_ij indicates the number of times that i and j are assigned to the same community across time
if community[i][t] == community[j][t]:
T[i, j] += 1
# module allegiance matrix, probability that ij were assigned to the same community
P = (1/C)*T
return P | python | def allegiance(community):
"""
Computes the allegiance matrix with values representing the probability that
nodes i and j were assigned to the same community by time-varying clustering methods.
parameters
----------
community : array
array of community assignment of size node,time
returns
-------
P : array
module allegiance matrix, with P_ij probability that area i and j are in the same community
Reference:
----------
Bassett, et al. (2013) “Robust detection of dynamic community structure in networks”, Chaos, 23, 1
"""
N = community.shape[0]
C = community.shape[1]
T = P = np.zeros([N, N])
for t in range(len(community[0, :])):
for i in range(len(community[:, 0])):
for j in range(len(community[:, 0])):
if i == j:
continue
# T_ij indicates the number of times that i and j are assigned to the same community across time
if community[i][t] == community[j][t]:
T[i, j] += 1
# module allegiance matrix, probability that ij were assigned to the same community
P = (1/C)*T
return P | [
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parameters
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community : array
array of community assignment of size node,time
returns
-------
P : array
module allegiance matrix, with P_ij probability that area i and j are in the same community
Reference:
----------
Bassett, et al. (2013) “Robust detection of dynamic community structure in networks”, Chaos, 23, 1 | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/temporalcommunity/allegiance.py#L3-L39 | train | Computes the allegiance matrix for a given community. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(908 - 860) + chr(0b111000 + 0o67) + chr(0b110010) + '\x37', 60987 - 60979), nzTpIcepk0o8(chr(0b110000) + chr(0b100111 + 0o110) + '\061' + '\062' + '\060', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010) + '\065' + chr(0b10111 + 0o36), 4370 - 4362), nzTpIcepk0o8('\060' + '\x6f' + chr(53) + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + '\061' + chr(55) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + '\065' + '\x37', 1560 - 1552), nzTpIcepk0o8(chr(1255 - 1207) + '\157' + '\x34' + '\066', ord("\x08")), nzTpIcepk0o8(chr(946 - 898) + chr(0b1000000 + 0o57) + chr(2001 - 1952) + chr(1023 - 975) + chr(48), 11412 - 11404), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x31' + '\062' + '\063', ord("\x08")), nzTpIcepk0o8(chr(745 - 697) + chr(0b1101111) + chr(0b110001) + chr(0b1100 + 0o44) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(2162 - 2114) + chr(8883 - 8772) + chr(0b110101) + chr(1561 - 1510), 0o10), nzTpIcepk0o8('\x30' + chr(12289 - 12178) + '\x32' + chr(0b110011) + chr(422 - 373), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(51) + chr(1705 - 1657) + chr(0b100101 + 0o14), 0o10), nzTpIcepk0o8(chr(1488 - 1440) + '\157' + chr(0b101000 + 0o13) + chr(52) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(0b100 + 0o153) + chr(932 - 877) + chr(54), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1010111 + 0o30) + chr(0b11110 + 0o25) + chr(0b100101 + 0o15) + chr(0b110010), 20075 - 20067), nzTpIcepk0o8(chr(0b11000 + 0o30) + '\157' + chr(0b110010) + chr(1128 - 1073) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + chr(0b1011 + 0o50) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110011) + chr(873 - 820) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(1523 - 1475) + chr(0b1101111) + chr(0b110001) + chr(48) + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b11001 + 0o30) + '\x35' + chr(50), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x37' + chr(0b110110), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31' + chr(0b110000) + '\066', 0b1000), nzTpIcepk0o8('\060' + chr(6988 - 6877) + chr(0b110001) + chr(53) + chr(0b1 + 0o66), 0b1000), nzTpIcepk0o8(chr(0b10110 + 0o32) + '\x6f' + chr(0b110001) + '\063', 17238 - 17230), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + chr(0b10101 + 0o33) + chr(0b110001), 13519 - 13511), nzTpIcepk0o8('\060' + chr(0b1011100 + 0o23) + chr(0b10100 + 0o37) + chr(52) + '\066', 0o10), nzTpIcepk0o8(chr(978 - 930) + '\157' + chr(0b11100 + 0o27) + chr(54) + '\060', 32950 - 32942), nzTpIcepk0o8('\060' + '\157' + '\x31' + '\060' + '\065', 0b1000), nzTpIcepk0o8(chr(1568 - 1520) + chr(281 - 170) + '\067' + chr(51), 0b1000), nzTpIcepk0o8(chr(1131 - 1083) + '\157' + chr(0b10001 + 0o40) + '\062' + '\063', 8), nzTpIcepk0o8('\060' + '\x6f' + chr(0b100010 + 0o21) + '\x35' + chr(0b110001), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b11001 + 0o32) + chr(0b110000) + chr(52), 51096 - 51088), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(111) + chr(0b110011) + chr(54) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\063' + '\x37' + chr(1703 - 1652), ord("\x08")), nzTpIcepk0o8(chr(0b101011 + 0o5) + '\x6f' + chr(0b11 + 0o57) + chr(167 - 117) + chr(54), 52253 - 52245), nzTpIcepk0o8('\x30' + chr(0b111011 + 0o64) + '\062' + chr(53), 42093 - 42085), nzTpIcepk0o8('\x30' + '\157' + '\063' + '\x33' + '\061', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\063' + chr(52) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + '\061' + chr(94 - 40), 4546 - 4538)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(0b1111 + 0o140) + '\065' + chr(48), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'9'), chr(0b1100100) + chr(4693 - 4592) + chr(0b11101 + 0o106) + '\157' + chr(3903 - 3803) + chr(0b1100101))(chr(4385 - 4268) + chr(116) + '\146' + '\x2d' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def SYo6trls4lBs(q0rd0jwx6ykB):
UtB2m8Xmgf5k = q0rd0jwx6ykB.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 0b1000)]
eb_JimPifyhR = q0rd0jwx6ykB.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(6854 - 6743) + chr(49), 15290 - 15282)]
hq6XE4_Nhd6R = mOo9OqMgUnvf = nDF4gVNx0u9Q.UmwwEp7MzR6q([UtB2m8Xmgf5k, UtB2m8Xmgf5k])
for h3Vc_4wxEbgd in bbT2xIe5pzk7(ftfygxgFas5X(q0rd0jwx6ykB[nzTpIcepk0o8(chr(0b110000) + chr(0b1001010 + 0o45) + chr(48), 8), :])):
for ZlbFMSG8gCoF in bbT2xIe5pzk7(ftfygxgFas5X(q0rd0jwx6ykB[:, nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(48), 8)])):
for sChW4gUsXrIC in bbT2xIe5pzk7(ftfygxgFas5X(q0rd0jwx6ykB[:, nzTpIcepk0o8('\x30' + '\157' + chr(0b100 + 0o54), 8)])):
if ZlbFMSG8gCoF == sChW4gUsXrIC:
continue
if q0rd0jwx6ykB[ZlbFMSG8gCoF][h3Vc_4wxEbgd] == q0rd0jwx6ykB[sChW4gUsXrIC][h3Vc_4wxEbgd]:
hq6XE4_Nhd6R[ZlbFMSG8gCoF, sChW4gUsXrIC] += nzTpIcepk0o8('\x30' + '\157' + chr(49), 8)
mOo9OqMgUnvf = nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(0b1101111) + '\061', 8) / eb_JimPifyhR * hq6XE4_Nhd6R
return mOo9OqMgUnvf |
wiheto/teneto | teneto/generatenetwork/rand_poisson.py | rand_poisson | def rand_poisson(nnodes, ncontacts, lam=1, nettype='bu', netinfo=None, netrep='graphlet'):
"""
Generate a random network where intervals between contacts are distributed by a poisson distribution
Parameters
----------
nnodes : int
Number of nodes in networks
ncontacts : int or list
Number of expected contacts (i.e. edges). If list, number of contacts for each node.
Any zeros drawn are ignored so returned degree of network can be smaller than ncontacts.
lam : int or list
Expectation of interval.
nettype : str
'bu' or 'bd'
netinfo : dict
Dictionary of additional information
netrep : str
How the output should be.
If ncontacts is a list, so should lam.
Returns
-------
net : array or dict
Random network with intervals between active edges being Poisson distributed.
"""
if isinstance(ncontacts, list):
if len(ncontacts) != nnodes:
raise ValueError(
'Number of contacts, if a list, should be one per node')
if isinstance(lam, list):
if len(lam) != nnodes:
raise ValueError(
'Lambda value of Poisson distribution, if a list, should be one per node')
if isinstance(lam, list) and not isinstance(ncontacts, list) or not isinstance(lam, list) and isinstance(ncontacts, list):
raise ValueError(
'When one of lambda or ncontacts is given as a list, the other argument must also be a list.')
if nettype == 'bu':
edgen = int((nnodes*(nnodes-1))/2)
elif nettype == 'bd':
edgen = int(nnodes*nnodes)
if not isinstance(lam, list) and not isinstance(ncontacts, list):
icts = np.random.poisson(lam, size=(edgen, ncontacts))
net = np.zeros([edgen, icts.sum(axis=1).max()+1])
for n in range(edgen):
net[n, np.unique(np.cumsum(icts[n]))] = 1
else:
icts = []
ict_max = 0
for n in range(edgen):
icts.append(np.random.poisson(lam[n], size=ncontacts[n]))
if sum(icts[-1]) > ict_max:
ict_max = sum(icts[-1])
net = np.zeros([nnodes, ict_max+1])
for n in range(nnodes):
net[n, np.unique(np.cumsum(icts[n]))] = 1
if nettype == 'bu':
nettmp = np.zeros([nnodes, nnodes, net.shape[-1]])
ind = np.triu_indices(nnodes, k=1)
nettmp[ind[0], ind[1], :] = net
net = nettmp + nettmp.transpose([1, 0, 2])
elif nettype == 'bd':
net = net.reshape([nnodes, nnodes, net.shape[-1]], order='F')
net = set_diagonal(net, 0)
if netrep == 'contact':
if not netinfo:
netinfo = {}
netinfo['nettype'] = 'b' + nettype[-1]
net = graphlet2contact(net, netinfo)
return net | python | def rand_poisson(nnodes, ncontacts, lam=1, nettype='bu', netinfo=None, netrep='graphlet'):
"""
Generate a random network where intervals between contacts are distributed by a poisson distribution
Parameters
----------
nnodes : int
Number of nodes in networks
ncontacts : int or list
Number of expected contacts (i.e. edges). If list, number of contacts for each node.
Any zeros drawn are ignored so returned degree of network can be smaller than ncontacts.
lam : int or list
Expectation of interval.
nettype : str
'bu' or 'bd'
netinfo : dict
Dictionary of additional information
netrep : str
How the output should be.
If ncontacts is a list, so should lam.
Returns
-------
net : array or dict
Random network with intervals between active edges being Poisson distributed.
"""
if isinstance(ncontacts, list):
if len(ncontacts) != nnodes:
raise ValueError(
'Number of contacts, if a list, should be one per node')
if isinstance(lam, list):
if len(lam) != nnodes:
raise ValueError(
'Lambda value of Poisson distribution, if a list, should be one per node')
if isinstance(lam, list) and not isinstance(ncontacts, list) or not isinstance(lam, list) and isinstance(ncontacts, list):
raise ValueError(
'When one of lambda or ncontacts is given as a list, the other argument must also be a list.')
if nettype == 'bu':
edgen = int((nnodes*(nnodes-1))/2)
elif nettype == 'bd':
edgen = int(nnodes*nnodes)
if not isinstance(lam, list) and not isinstance(ncontacts, list):
icts = np.random.poisson(lam, size=(edgen, ncontacts))
net = np.zeros([edgen, icts.sum(axis=1).max()+1])
for n in range(edgen):
net[n, np.unique(np.cumsum(icts[n]))] = 1
else:
icts = []
ict_max = 0
for n in range(edgen):
icts.append(np.random.poisson(lam[n], size=ncontacts[n]))
if sum(icts[-1]) > ict_max:
ict_max = sum(icts[-1])
net = np.zeros([nnodes, ict_max+1])
for n in range(nnodes):
net[n, np.unique(np.cumsum(icts[n]))] = 1
if nettype == 'bu':
nettmp = np.zeros([nnodes, nnodes, net.shape[-1]])
ind = np.triu_indices(nnodes, k=1)
nettmp[ind[0], ind[1], :] = net
net = nettmp + nettmp.transpose([1, 0, 2])
elif nettype == 'bd':
net = net.reshape([nnodes, nnodes, net.shape[-1]], order='F')
net = set_diagonal(net, 0)
if netrep == 'contact':
if not netinfo:
netinfo = {}
netinfo['nettype'] = 'b' + nettype[-1]
net = graphlet2contact(net, netinfo)
return net | [
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Parameters
----------
nnodes : int
Number of nodes in networks
ncontacts : int or list
Number of expected contacts (i.e. edges). If list, number of contacts for each node.
Any zeros drawn are ignored so returned degree of network can be smaller than ncontacts.
lam : int or list
Expectation of interval.
nettype : str
'bu' or 'bd'
netinfo : dict
Dictionary of additional information
netrep : str
How the output should be.
If ncontacts is a list, so should lam.
Returns
-------
net : array or dict
Random network with intervals between active edges being Poisson distributed. | [
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"poisson",
"distribution"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/generatenetwork/rand_poisson.py#L9-L92 | train | Generates a random network where intervals between contacts are distributed by a Poisson distribution. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110010) + '\064' + chr(49), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\064' + chr(0b1010 + 0o52), 0o10), nzTpIcepk0o8(chr(425 - 377) + chr(0b1101111) + chr(51) + chr(50), 0o10), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(8846 - 8735) + chr(0b110010) + chr(0b110010) + chr(0b11100 + 0o32), 0b1000), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(111) + chr(0b10001 + 0o40) + '\x35' + chr(50), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b111110 + 0o61) + chr(0b110010) + '\064' + chr(1911 - 1862), 8), nzTpIcepk0o8(chr(1477 - 1429) + chr(0b100101 + 0o112) + chr(0b11000 + 0o34) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(489 - 438) + '\x34', 0b1000), nzTpIcepk0o8(chr(0b101000 + 0o10) + '\157' + '\x34' + '\x32', 0b1000), nzTpIcepk0o8(chr(1107 - 1059) + chr(111) + chr(1485 - 1436) + '\061' + chr(0b10010 + 0o43), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + chr(51) + chr(0b110001 + 0o3), ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b1000010 + 0o55) + chr(753 - 704) + chr(0b110011) + chr(0b110001 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2247 - 2198) + chr(50) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b100111 + 0o110) + '\x31' + chr(0b11001 + 0o34) + chr(0b110110), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(0b110000) + chr(0b10001 + 0o44), 0b1000), nzTpIcepk0o8(chr(1866 - 1818) + chr(0b1101111) + chr(51) + chr(0b111 + 0o52) + chr(50), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(51) + chr(0b110110) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(48) + chr(11950 - 11839) + chr(1465 - 1416) + chr(54) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\061' + chr(0b10001 + 0o44), 0o10), nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b1101 + 0o44) + '\066' + chr(0b110111), 32556 - 32548), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(8420 - 8309) + chr(0b110011) + chr(899 - 844), 47882 - 47874), nzTpIcepk0o8('\x30' + '\157' + chr(49) + chr(0b10 + 0o56) + '\064', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(4961 - 4850) + chr(49) + '\065' + chr(51), 0o10), nzTpIcepk0o8(chr(48) + chr(11533 - 11422) + chr(1011 - 961) + '\063' + chr(1439 - 1387), 8), nzTpIcepk0o8(chr(48) + chr(0b1101101 + 0o2) + chr(0b1000 + 0o53) + chr(50) + chr(48), 0b1000), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(10418 - 10307) + chr(0b101 + 0o55) + '\x36' + chr(0b101110 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(95 - 44) + '\065', 25633 - 25625), nzTpIcepk0o8(chr(48) + chr(0b110101 + 0o72) + chr(0b110010) + chr(1614 - 1560) + chr(730 - 681), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(49) + chr(0b110110) + '\061', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\062' + '\062' + '\063', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(1584 - 1535) + '\065' + chr(0b101111 + 0o5), 0o10), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1011001 + 0o26) + chr(1640 - 1591) + chr(2592 - 2540) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(222 - 174) + chr(0b1101111) + '\x33' + chr(1607 - 1556) + chr(2703 - 2649), ord("\x08")), nzTpIcepk0o8(chr(1363 - 1315) + '\157' + '\062' + chr(2117 - 2067) + '\065', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101010 + 0o5) + chr(0b110010) + '\x32' + chr(0b11101 + 0o24), 0b1000), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(111) + '\061' + '\x30' + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(1542 - 1494) + chr(3217 - 3106) + chr(0b11111 + 0o23) + chr(50) + chr(0b101010 + 0o11), 8), nzTpIcepk0o8(chr(0b110000) + chr(687 - 576) + chr(0b100011 + 0o16) + '\063' + '\062', 20130 - 20122), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x31' + chr(48), 26140 - 26132), nzTpIcepk0o8(chr(1383 - 1335) + chr(0b1000111 + 0o50) + '\063' + chr(49) + chr(0b110011 + 0o2), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(111) + chr(53) + '\060', 56122 - 56114)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x8f'), chr(943 - 843) + chr(0b1100101) + chr(5286 - 5187) + chr(0b1101111) + chr(9026 - 8926) + chr(0b1000110 + 0o37))(chr(6333 - 6216) + '\164' + chr(6069 - 5967) + '\x2d' + chr(1858 - 1802)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Cax9lOzETPnn(FCPfOBY4P1Cm, jhIFgiGmhD4K, WjT46sN6H5MY=nzTpIcepk0o8(chr(518 - 470) + chr(111) + chr(1785 - 1736), 38418 - 38410), PP9awkpIfdrd=roI3spqORKae(ES5oEprVxulp(b'\xc3Q'), chr(100) + chr(101) + chr(6988 - 6889) + chr(0b1100010 + 0o15) + '\x64' + '\145')(chr(0b110100 + 0o101) + chr(0b1110100) + '\146' + '\x2d' + chr(56)), CHqJ5ht8kzQa=None, WaWG2I_mboxB=roI3spqORKae(ES5oEprVxulp(b'\xc6V{\xe6\x02\xcdC('), chr(0b1100100) + chr(0b1100101) + chr(0b100011 + 0o100) + chr(2105 - 1994) + '\x64' + chr(101))(chr(0b10110 + 0o137) + '\x74' + chr(0b1011 + 0o133) + chr(0b101101) + '\070')):
if suIjIS24Zkqw(jhIFgiGmhD4K, H4NoA26ON7iG):
if ftfygxgFas5X(jhIFgiGmhD4K) != FCPfOBY4P1Cm:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xefQw\xf4\x0f\xd3\x063Dm\xff2=\x1a\xe4\xa9\x83\x06!Wv"K\xfd\xf0\xdet\xc2\x05\xbfL\x13\xb6\xfa\xe4.\xf7zj\xa8\x81Kt\xf3J\xd1C.\x02#\xf396'), chr(5003 - 4903) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(0b1001011 + 0o32))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1565 - 1520) + '\x38'))
if suIjIS24Zkqw(WjT46sN6H5MY, H4NoA26ON7iG):
if ftfygxgFas5X(WjT46sN6H5MY) != FCPfOBY4P1Cm:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xedEw\xf4\x0e\xc0\x06*C!\xe98s\x01\xe3\xea\xa7\x1ad\x04l+\x05\xbc\xb4\xdbn\xc5\x03\xfa\x0e\x15\xaa\xfc\xfe,\xbfza\xab\x81E:\xfa\x03\xd2Rp\x02>\xf42&\x02\xe1\xea\x95\x10-\x18q!K\xec\xb5\xc0=\xdf\x1e\xf7\t'), '\x64' + chr(0b1100101) + '\143' + chr(0b1 + 0o156) + '\144' + '\145')('\x75' + '\164' + chr(102) + chr(1705 - 1660) + '\070'))
if suIjIS24Zkqw(WjT46sN6H5MY, H4NoA26ON7iG) and (not suIjIS24Zkqw(jhIFgiGmhD4K, H4NoA26ON7iG)) or (not suIjIS24Zkqw(WjT46sN6H5MY, H4NoA26ON7iG) and suIjIS24Zkqw(jhIFgiGmhD4K, H4NoA26ON7iG)):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xf6L\x7f\xf8J\xceH9\x02"\xfa}?\x0f\xe8\xa8\x93\x14-\x18md\x05\xff\xbf\xdci\xd0\x12\xe7\x1f@\xb7\xe6\xb1%\xfa,m\xa3\x81Ei\xb6\x0b\x81J5Q9\xb0}\'\x06\xe0\xea\x98\x01e\x12md\n\xee\xb7\xc7p\xd4\x1f\xe7L\r\xab\xe6\xe5b\xf26{\xa2\x81F\x7f\xb6\x0b\x81J5Q9\xb2'), chr(0b1100100) + chr(0b1000 + 0o135) + chr(0b1100011) + chr(3444 - 3333) + chr(0b1100100) + '\x65')('\x75' + chr(0b1000101 + 0o57) + '\x66' + chr(0b11110 + 0o17) + '\070'))
if PP9awkpIfdrd == roI3spqORKae(ES5oEprVxulp(b'\xc3Q'), chr(100) + '\145' + chr(0b110111 + 0o54) + '\x6f' + chr(0b1011000 + 0o14) + '\145')(chr(0b1110101) + chr(1299 - 1183) + chr(0b1100110) + '\x2d' + chr(0b100001 + 0o27)):
L02daVFM0i4g = nzTpIcepk0o8(FCPfOBY4P1Cm * (FCPfOBY4P1Cm - nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49), 8)) / nzTpIcepk0o8(chr(48) + '\157' + '\062', 0b1000))
elif PP9awkpIfdrd == roI3spqORKae(ES5oEprVxulp(b'\xc3@'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1011001 + 0o14))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + '\x38'):
L02daVFM0i4g = nzTpIcepk0o8(FCPfOBY4P1Cm * FCPfOBY4P1Cm)
if not suIjIS24Zkqw(WjT46sN6H5MY, H4NoA26ON7iG) and (not suIjIS24Zkqw(jhIFgiGmhD4K, H4NoA26ON7iG)):
rnq2cqbLqSKU = nDF4gVNx0u9Q.random.poisson(WjT46sN6H5MY, size=(L02daVFM0i4g, jhIFgiGmhD4K))
AGZr9pNUmyNf = nDF4gVNx0u9Q.UmwwEp7MzR6q([L02daVFM0i4g, rnq2cqbLqSKU.sum(axis=nzTpIcepk0o8('\x30' + '\157' + chr(0b11010 + 0o27), 8)).KV9ckIhroIia() + nzTpIcepk0o8(chr(1882 - 1834) + chr(111) + chr(0b110001), 8)])
for NoZxuO7wjArS in bbT2xIe5pzk7(L02daVFM0i4g):
AGZr9pNUmyNf[NoZxuO7wjArS, nDF4gVNx0u9Q.G3de2eWQaS0D(nDF4gVNx0u9Q.hThNUJrwvDVJ(rnq2cqbLqSKU[NoZxuO7wjArS]))] = nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + chr(0b110001), 8)
else:
rnq2cqbLqSKU = []
tOPCkljbohGq = nzTpIcepk0o8(chr(48) + chr(3404 - 3293) + chr(0b110000), 0b1000)
for NoZxuO7wjArS in bbT2xIe5pzk7(L02daVFM0i4g):
roI3spqORKae(rnq2cqbLqSKU, roI3spqORKae(ES5oEprVxulp(b'\xe9pI\xa2\x12\xc6a3H"\xc9h'), chr(0b1100100) + chr(10021 - 9920) + '\143' + chr(0b1010101 + 0o32) + chr(0b1100 + 0o130) + chr(101))('\165' + chr(0b10011 + 0o141) + chr(1681 - 1579) + chr(0b101101) + chr(0b101010 + 0o16)))(roI3spqORKae(nDF4gVNx0u9Q.random, roI3spqORKae(ES5oEprVxulp(b'\xd1Ks\xe5\x19\xceH'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1011 + 0o131) + chr(0b1100101))(chr(0b1110101) + chr(0b101010 + 0o112) + chr(4595 - 4493) + chr(1935 - 1890) + '\x38'))(WjT46sN6H5MY[NoZxuO7wjArS], size=jhIFgiGmhD4K[NoZxuO7wjArS]))
if oclC8DLjA_lV(rnq2cqbLqSKU[-nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(0b1101111) + '\x31', 8)]) > tOPCkljbohGq:
tOPCkljbohGq = oclC8DLjA_lV(rnq2cqbLqSKU[-nzTpIcepk0o8(chr(48) + chr(2195 - 2084) + '\061', 8)])
AGZr9pNUmyNf = nDF4gVNx0u9Q.UmwwEp7MzR6q([FCPfOBY4P1Cm, tOPCkljbohGq + nzTpIcepk0o8(chr(0b110000) + chr(9590 - 9479) + '\x31', 8)])
for NoZxuO7wjArS in bbT2xIe5pzk7(FCPfOBY4P1Cm):
AGZr9pNUmyNf[NoZxuO7wjArS, nDF4gVNx0u9Q.G3de2eWQaS0D(nDF4gVNx0u9Q.hThNUJrwvDVJ(rnq2cqbLqSKU[NoZxuO7wjArS]))] = nzTpIcepk0o8(chr(381 - 333) + '\x6f' + chr(0b11111 + 0o22), 8)
if PP9awkpIfdrd == roI3spqORKae(ES5oEprVxulp(b'\xc3Q'), chr(0b1001101 + 0o27) + chr(0b10100 + 0o121) + chr(0b1100011) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(1579 - 1534) + chr(56)):
mjisOjYpuOkx = nDF4gVNx0u9Q.UmwwEp7MzR6q([FCPfOBY4P1Cm, FCPfOBY4P1Cm, AGZr9pNUmyNf.lhbM092AFW8f[-nzTpIcepk0o8(chr(48) + '\157' + chr(1225 - 1176), 8)]])
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(FCPfOBY4P1Cm, k=nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8))
mjisOjYpuOkx[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b111 + 0o51) + chr(5190 - 5079) + '\x30', 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(0b1101111) + chr(0b110001), 8)], :] = AGZr9pNUmyNf
AGZr9pNUmyNf = mjisOjYpuOkx + mjisOjYpuOkx.transpose([nzTpIcepk0o8(chr(60 - 12) + chr(0b100011 + 0o114) + '\061', 8), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(111) + chr(0b10101 + 0o33), 8), nzTpIcepk0o8('\060' + '\157' + chr(0b11111 + 0o23), 8)])
elif PP9awkpIfdrd == roI3spqORKae(ES5oEprVxulp(b'\xc3@'), '\144' + chr(101) + chr(0b1001011 + 0o30) + chr(10836 - 10725) + chr(100) + chr(101))('\x75' + '\x74' + chr(10167 - 10065) + chr(0b101 + 0o50) + chr(0b111000)):
AGZr9pNUmyNf = AGZr9pNUmyNf.reshape([FCPfOBY4P1Cm, FCPfOBY4P1Cm, AGZr9pNUmyNf.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(7023 - 6912) + chr(0b101111 + 0o2), 8)]], order=roI3spqORKae(ES5oEprVxulp(b'\xe7'), '\144' + chr(101) + chr(4369 - 4270) + '\157' + chr(0b1100100) + chr(0b1010111 + 0o16))(chr(0b100011 + 0o122) + '\164' + '\x66' + chr(0b1101 + 0o40) + chr(1775 - 1719)))
AGZr9pNUmyNf = VK1Zu4D37FTM(AGZr9pNUmyNf, nzTpIcepk0o8('\060' + '\157' + chr(1996 - 1948), 8))
if WaWG2I_mboxB == roI3spqORKae(ES5oEprVxulp(b'\xc2Kt\xe2\x0b\xc2R'), chr(7421 - 7321) + chr(0b1100101) + '\x63' + chr(12255 - 12144) + '\x64' + chr(0b1100101))(chr(13554 - 13437) + '\x74' + chr(10329 - 10227) + chr(300 - 255) + chr(56)):
if not CHqJ5ht8kzQa:
CHqJ5ht8kzQa = {}
CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\xcfAn\xe2\x13\xd1C'), '\x64' + '\x65' + chr(99) + '\157' + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(0b111001 + 0o55) + chr(1816 - 1771) + chr(0b111000))] = roI3spqORKae(ES5oEprVxulp(b'\xc3'), chr(0b11 + 0o141) + '\145' + chr(0b101101 + 0o66) + '\157' + chr(0b1100100) + '\x65')(chr(0b100 + 0o161) + '\164' + chr(0b1100110 + 0o0) + chr(261 - 216) + chr(0b111000)) + PP9awkpIfdrd[-nzTpIcepk0o8(chr(0b11001 + 0o27) + '\x6f' + chr(49), 8)]
AGZr9pNUmyNf = VWj208wHyNiD(AGZr9pNUmyNf, CHqJ5ht8kzQa)
return AGZr9pNUmyNf |
wiheto/teneto | teneto/networkmeasures/temporal_participation_coeff.py | temporal_participation_coeff | def temporal_participation_coeff(tnet, communities=None, decay=None, removeneg=False):
r'''
Temporal participation coefficient is a measure of diversity of connections across communities for individual nodes.
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Only positive matrices considered.
communities : array
community vector. Either 1D (node) community index or 2D (node,time).
removeneg : bool (default false)
If true, all values < 0 are made to be 0.
Returns
-------
P : array
participation coefficient
Notes
-----
Static participatoin coefficient is:
.. math:: P_i = 1 - \sum_s^{N_M}({{k_{is}}\over{k_i}})^2
Where s is the index of each community (:math:`N_M`). :math:`k_i` is total degree of node. And :math:`k_{is}` is degree of connections within community.[part-1]_
This "temporal" version only loops through temporal snapshots and calculates :math:`P_i` for each t.
If directed, function sums axis=1, so tnet may need to be transposed before hand depending on what type of directed part_coef you are interested in.
References
----------
.. [part-1] Guimera et al (2005) Functional cartography of complex metabolic networks. Nature. 433: 7028, p895-900. [`Link <http://doi.org/10.1038/nature03288>`_]
'''
if communities is None:
if isinstance(tnet, dict):
if 'communities' in tnet.keys():
communities = tnet['communities']
else:
raise ValueError('Community index not found')
else:
raise ValueError('Community must be provided for graphlet input')
# Get input in right format
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
if tnet.nettype[0] == 'w':
# TODO add contingency when hdf5 data has negative edges
if tnet.hdf5 == False:
if sum(tnet.network['weight'] < 0) > 0 and not removeneg:
print(
'TENETO WARNING: negative edges exist when calculating participation coefficient.')
else:
tnet.network['weight'][tnet.network['weight'] < 0] = 0
part = np.zeros([tnet.netshape[0], tnet.netshape[1]])
if len(communities.shape) == 1:
for t in np.arange(0, tnet.netshape[1]):
C = communities
snapshot = tnet.get_network_when(t=t)
if tnet.nettype[1] == 'd':
i_at_t = snapshot['i'].values
else:
i_at_t = np.concatenate(
[snapshot['i'].values, snapshot['j'].values])
i_at_t = np.unique(i_at_t).tolist()
i_at_t = list(map(int, i_at_t))
for i in i_at_t:
# Calculate degree of node
if tnet.nettype[1] == 'd':
df = tnet.get_network_when(i=i, t=t)
j_at_t = df['j'].values
if tnet.nettype == 'wd':
k_i = df['weight'].sum()
elif tnet.nettype == 'bd':
k_i = len(df)
elif tnet.nettype[1] == 'u':
df = tnet.get_network_when(ij=i, t=t)
j_at_t = np.concatenate([df['i'].values, df['j'].values])
if tnet.nettype == 'wu':
k_i = df['weight'].sum()
elif tnet.nettype == 'bu':
k_i = len(df)
j_at_t = list(map(int, j_at_t))
for c in np.unique(C[j_at_t]):
ci = np.where(C == c)[0].tolist()
k_is = tnet.get_network_when(i=i, j=ci, t=t)
if tnet.nettype[1] == 'u':
k_is2 = tnet.get_network_when(j=i, i=ci, t=t)
k_is = pd.concat([k_is, k_is2])
if len(k_is) > 0:
if tnet.nettype[0] == 'b':
k_is = len(k_is)
else:
k_is = k_is['weight'].sum()
part[i, t] += np.square(k_is/k_i)
part[i_at_t, t] = 1 - part[i_at_t, t]
if decay is not None and t > 0:
part[i_at_t, t] += decay*part[i_at_t, t-1]
else:
for t in np.arange(0, tnet.netshape[1]):
snapshot = tnet.get_network_when(t=t)
if tnet.nettype[1] == 'd':
i_at_t = snapshot['i'].values
else:
i_at_t = np.concatenate(
[snapshot['i'].values, snapshot['j'].values])
i_at_t = np.unique(i_at_t).tolist()
i_at_t = list(map(int, i_at_t))
for i in i_at_t:
for tc in np.arange(0, tnet.netshape[1]):
C = communities[:, tc]
# Calculate degree of node
if tnet.nettype[1] == 'd':
df = tnet.get_network_when(i=i, t=t)
j_at_t = df['j'].values
if tnet.nettype == 'wd':
k_i = df['weight'].sum()
elif tnet.nettype == 'bd':
k_i = len(df)
elif tnet.nettype[1] == 'u':
df = tnet.get_network_when(ij=i, t=t)
j_at_t = np.concatenate(
[df['i'].values, df['j'].values])
if tnet.nettype == 'wu':
k_i = df['weight'].sum()
elif tnet.nettype == 'bu':
k_i = len(df)
j_at_t = list(map(int, j_at_t))
for c in np.unique(C[j_at_t]):
ci = np.where(C == c)[0].tolist()
k_is = tnet.get_network_when(i=i, j=ci, t=t)
if tnet.nettype[1] == 'u':
k_is2 = tnet.get_network_when(j=i, i=ci, t=t)
k_is = pd.concat([k_is, k_is2])
if tnet.nettype[0] == 'b':
k_is = len(k_is)
else:
k_is = k_is['weight'].sum()
part[i, t] += np.square(k_is/k_i)
part[i, t] = part[i, t] / tnet.netshape[1]
part[i_at_t, t] = 1 - part[i_at_t, t]
if decay is not None and t > 0:
part[i_at_t, t] += decay*part[i_at_t, t-1]
# Set any division by 0 to 0
part[np.isnan(part) == 1] = 0
return part | python | def temporal_participation_coeff(tnet, communities=None, decay=None, removeneg=False):
r'''
Temporal participation coefficient is a measure of diversity of connections across communities for individual nodes.
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Only positive matrices considered.
communities : array
community vector. Either 1D (node) community index or 2D (node,time).
removeneg : bool (default false)
If true, all values < 0 are made to be 0.
Returns
-------
P : array
participation coefficient
Notes
-----
Static participatoin coefficient is:
.. math:: P_i = 1 - \sum_s^{N_M}({{k_{is}}\over{k_i}})^2
Where s is the index of each community (:math:`N_M`). :math:`k_i` is total degree of node. And :math:`k_{is}` is degree of connections within community.[part-1]_
This "temporal" version only loops through temporal snapshots and calculates :math:`P_i` for each t.
If directed, function sums axis=1, so tnet may need to be transposed before hand depending on what type of directed part_coef you are interested in.
References
----------
.. [part-1] Guimera et al (2005) Functional cartography of complex metabolic networks. Nature. 433: 7028, p895-900. [`Link <http://doi.org/10.1038/nature03288>`_]
'''
if communities is None:
if isinstance(tnet, dict):
if 'communities' in tnet.keys():
communities = tnet['communities']
else:
raise ValueError('Community index not found')
else:
raise ValueError('Community must be provided for graphlet input')
# Get input in right format
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
if tnet.nettype[0] == 'w':
# TODO add contingency when hdf5 data has negative edges
if tnet.hdf5 == False:
if sum(tnet.network['weight'] < 0) > 0 and not removeneg:
print(
'TENETO WARNING: negative edges exist when calculating participation coefficient.')
else:
tnet.network['weight'][tnet.network['weight'] < 0] = 0
part = np.zeros([tnet.netshape[0], tnet.netshape[1]])
if len(communities.shape) == 1:
for t in np.arange(0, tnet.netshape[1]):
C = communities
snapshot = tnet.get_network_when(t=t)
if tnet.nettype[1] == 'd':
i_at_t = snapshot['i'].values
else:
i_at_t = np.concatenate(
[snapshot['i'].values, snapshot['j'].values])
i_at_t = np.unique(i_at_t).tolist()
i_at_t = list(map(int, i_at_t))
for i in i_at_t:
# Calculate degree of node
if tnet.nettype[1] == 'd':
df = tnet.get_network_when(i=i, t=t)
j_at_t = df['j'].values
if tnet.nettype == 'wd':
k_i = df['weight'].sum()
elif tnet.nettype == 'bd':
k_i = len(df)
elif tnet.nettype[1] == 'u':
df = tnet.get_network_when(ij=i, t=t)
j_at_t = np.concatenate([df['i'].values, df['j'].values])
if tnet.nettype == 'wu':
k_i = df['weight'].sum()
elif tnet.nettype == 'bu':
k_i = len(df)
j_at_t = list(map(int, j_at_t))
for c in np.unique(C[j_at_t]):
ci = np.where(C == c)[0].tolist()
k_is = tnet.get_network_when(i=i, j=ci, t=t)
if tnet.nettype[1] == 'u':
k_is2 = tnet.get_network_when(j=i, i=ci, t=t)
k_is = pd.concat([k_is, k_is2])
if len(k_is) > 0:
if tnet.nettype[0] == 'b':
k_is = len(k_is)
else:
k_is = k_is['weight'].sum()
part[i, t] += np.square(k_is/k_i)
part[i_at_t, t] = 1 - part[i_at_t, t]
if decay is not None and t > 0:
part[i_at_t, t] += decay*part[i_at_t, t-1]
else:
for t in np.arange(0, tnet.netshape[1]):
snapshot = tnet.get_network_when(t=t)
if tnet.nettype[1] == 'd':
i_at_t = snapshot['i'].values
else:
i_at_t = np.concatenate(
[snapshot['i'].values, snapshot['j'].values])
i_at_t = np.unique(i_at_t).tolist()
i_at_t = list(map(int, i_at_t))
for i in i_at_t:
for tc in np.arange(0, tnet.netshape[1]):
C = communities[:, tc]
# Calculate degree of node
if tnet.nettype[1] == 'd':
df = tnet.get_network_when(i=i, t=t)
j_at_t = df['j'].values
if tnet.nettype == 'wd':
k_i = df['weight'].sum()
elif tnet.nettype == 'bd':
k_i = len(df)
elif tnet.nettype[1] == 'u':
df = tnet.get_network_when(ij=i, t=t)
j_at_t = np.concatenate(
[df['i'].values, df['j'].values])
if tnet.nettype == 'wu':
k_i = df['weight'].sum()
elif tnet.nettype == 'bu':
k_i = len(df)
j_at_t = list(map(int, j_at_t))
for c in np.unique(C[j_at_t]):
ci = np.where(C == c)[0].tolist()
k_is = tnet.get_network_when(i=i, j=ci, t=t)
if tnet.nettype[1] == 'u':
k_is2 = tnet.get_network_when(j=i, i=ci, t=t)
k_is = pd.concat([k_is, k_is2])
if tnet.nettype[0] == 'b':
k_is = len(k_is)
else:
k_is = k_is['weight'].sum()
part[i, t] += np.square(k_is/k_i)
part[i, t] = part[i, t] / tnet.netshape[1]
part[i_at_t, t] = 1 - part[i_at_t, t]
if decay is not None and t > 0:
part[i_at_t, t] += decay*part[i_at_t, t-1]
# Set any division by 0 to 0
part[np.isnan(part) == 1] = 0
return part | [
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Temporal participation coefficient is a measure of diversity of connections across communities for individual nodes.
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Only positive matrices considered.
communities : array
community vector. Either 1D (node) community index or 2D (node,time).
removeneg : bool (default false)
If true, all values < 0 are made to be 0.
Returns
-------
P : array
participation coefficient
Notes
-----
Static participatoin coefficient is:
.. math:: P_i = 1 - \sum_s^{N_M}({{k_{is}}\over{k_i}})^2
Where s is the index of each community (:math:`N_M`). :math:`k_i` is total degree of node. And :math:`k_{is}` is degree of connections within community.[part-1]_
This "temporal" version only loops through temporal snapshots and calculates :math:`P_i` for each t.
If directed, function sums axis=1, so tnet may need to be transposed before hand depending on what type of directed part_coef you are interested in.
References
----------
.. [part-1] Guimera et al (2005) Functional cartography of complex metabolic networks. Nature. 433: 7028, p895-900. [`Link <http://doi.org/10.1038/nature03288>`_] | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/temporal_participation_coeff.py#L7-L162 | train | r Returns a sequence of temporal participation coefficient values for a given graphlet or contact sequence input. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\157' + chr(2110 - 2056) + chr(1710 - 1655), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(54) + '\x36', 0o10), nzTpIcepk0o8(chr(1548 - 1500) + '\x6f' + chr(307 - 256) + '\x31' + chr(878 - 829), 0o10), nzTpIcepk0o8('\060' + chr(4581 - 4470) + chr(0b101110 + 0o3) + '\x34' + chr(0b11010 + 0o34), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(1265 - 1216) + '\x36' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(111) + '\x33' + chr(0b101111 + 0o4) + '\x33', 19051 - 19043), nzTpIcepk0o8('\x30' + '\x6f' + chr(728 - 679) + '\x34' + '\x31', 45203 - 45195), nzTpIcepk0o8(chr(48) + '\157' + chr(0b1100 + 0o47) + '\060' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110100) + chr(0b101 + 0o54), ord("\x08")), nzTpIcepk0o8(chr(2304 - 2256) + chr(11389 - 11278) + chr(0b1110 + 0o43) + '\x36' + '\061', 0b1000), nzTpIcepk0o8('\x30' + chr(0b11001 + 0o126) + chr(0b10011 + 0o36) + '\060', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b100011 + 0o17) + '\x37' + chr(0b110100), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + '\x34', 48909 - 48901), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b1010 + 0o145) + '\x35' + chr(0b1110 + 0o45), 54330 - 54322), nzTpIcepk0o8('\x30' + chr(111) + '\063' + chr(0b110101 + 0o0) + chr(53), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + chr(0b11111 + 0o27) + chr(0b110101), 14797 - 14789), nzTpIcepk0o8('\x30' + chr(0b111001 + 0o66) + chr(0b110010) + chr(0b110101) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(7576 - 7465) + '\063' + chr(52), 8), nzTpIcepk0o8(chr(0b11010 + 0o26) + '\x6f' + chr(0b110010) + chr(53) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b101011 + 0o14), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110110) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(48) + chr(1320 - 1209) + '\061' + chr(1471 - 1422) + '\062', 8282 - 8274), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b110101 + 0o72) + '\x33' + chr(0b10111 + 0o34) + chr(0b110011), 8), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + chr(0b110111) + chr(2129 - 2079), 0o10), nzTpIcepk0o8(chr(0b101000 + 0o10) + '\157' + '\061' + '\x35' + '\x30', 0b1000), nzTpIcepk0o8(chr(722 - 674) + chr(0b1101111) + '\063' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\157' + '\x37' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001 + 0o2) + '\062' + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(828 - 780) + chr(111) + chr(0b110010) + chr(0b100110 + 0o17) + chr(49), 42511 - 42503), nzTpIcepk0o8('\060' + chr(111) + chr(49), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\066' + '\063', 6706 - 6698), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(111) + chr(51) + '\067' + chr(0b10010 + 0o41), 56492 - 56484), nzTpIcepk0o8(chr(0b110000) + chr(0b111 + 0o150) + '\x31' + chr(1659 - 1608) + chr(49), 0b1000), nzTpIcepk0o8(chr(521 - 473) + chr(0b1101111) + '\x31' + '\067', 0b1000), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b11101 + 0o122) + chr(49) + chr(0b110010) + chr(49), 0o10), nzTpIcepk0o8(chr(715 - 667) + chr(5242 - 5131) + chr(0b110001) + chr(49), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b11011 + 0o27) + chr(0b11011 + 0o26) + chr(0b101010 + 0o13), 47568 - 47560), nzTpIcepk0o8(chr(0b11111 + 0o21) + '\x6f' + chr(51) + chr(0b110001 + 0o3) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1001010 + 0o45) + chr(49) + chr(0b11101 + 0o27) + '\x36', 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(596 - 547) + chr(0b1011 + 0o54) + '\x37', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(1676 - 1628) + chr(864 - 753) + chr(0b1010 + 0o53) + chr(0b110000), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x19'), chr(0b1100100) + chr(101) + chr(99) + '\157' + '\144' + chr(0b1011101 + 0o10))(chr(0b1110101) + '\x74' + chr(0b100101 + 0o101) + chr(0b1011 + 0o42) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def _TYBDCeJdEuO(sHR__4_c0Uoo, zoiuJtv6Z4HM=None, zYAN6XjDtf07=None, LmW_hbTUDgzE=nzTpIcepk0o8('\x30' + chr(0b1011010 + 0o25) + '\060', 37234 - 37226)):
if zoiuJtv6Z4HM is None:
if suIjIS24Zkqw(sHR__4_c0Uoo, znjnJWK64FDT):
if roI3spqORKae(ES5oEprVxulp(b'TY\xa4\x0b\x03\xb5\x08\xb0H\x14{'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(5117 - 5017) + '\x65')(chr(117) + chr(0b1101 + 0o147) + chr(2987 - 2885) + chr(0b101101) + chr(0b11001 + 0o37)) in roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'\\S\xb0\x15'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(116) + chr(102) + chr(595 - 550) + chr(0b111000)))():
zoiuJtv6Z4HM = sHR__4_c0Uoo[roI3spqORKae(ES5oEprVxulp(b'TY\xa4\x0b\x03\xb5\x08\xb0H\x14{'), chr(0b1000111 + 0o35) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1000 + 0o134) + chr(0b1100101))('\165' + chr(8754 - 8638) + chr(494 - 392) + '\055' + chr(0b1001 + 0o57))]
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b"tY\xa4\x0b\x03\xb5\x08\xb0XQa\xd2xN\x95\xd5\xc1s\xdf'S%\xae\x94\x0c"), chr(0b1100100) + '\145' + '\143' + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'tY\xa4\x0b\x03\xb5\x08\xb0XQe\xc9o_\xcd\x97\xca<\xdbuZ<\xb2\x9e\r~\x1b\xb1\xc6s\x13\x9c+n!a\xe1\x83\x12_^X\xb9\x13\x02'), chr(0b1011001 + 0o13) + '\x65' + chr(7023 - 6924) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(116) + chr(102) + '\x2d' + chr(0b111000)))
sHR__4_c0Uoo = RMWMODhhKksQ(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b't'), chr(0b110 + 0o136) + '\x65' + '\x63' + chr(2517 - 2406) + '\144' + chr(101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'p'), chr(6479 - 6379) + chr(101) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b100010 + 0o122) + chr(0b1000110 + 0o40) + chr(0b101101) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'cx'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1011101 + 0o22) + '\144' + chr(4512 - 4411))('\165' + chr(294 - 178) + chr(1765 - 1663) + chr(0b1111 + 0o36) + chr(0b111000))], roI3spqORKae(ES5oEprVxulp(b'cx'), chr(0b110001 + 0o63) + chr(7009 - 6908) + '\143' + chr(0b1101111) + chr(6110 - 6010) + '\x65')(chr(6055 - 5938) + chr(0b100101 + 0o117) + chr(0b110 + 0o140) + chr(0b101101) + chr(56)))
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), '\x64' + chr(0b101110 + 0o67) + chr(99) + chr(0b1001001 + 0o46) + '\144' + chr(0b1100101))(chr(0b1101001 + 0o14) + chr(116) + '\146' + chr(45) + '\070'))[nzTpIcepk0o8(chr(48) + chr(111) + chr(1713 - 1665), 8)] == roI3spqORKae(ES5oEprVxulp(b'@'), '\x64' + chr(101) + chr(99) + chr(0b110 + 0o151) + '\144' + chr(0b1000110 + 0o37))(chr(2731 - 2614) + chr(116) + '\146' + chr(1539 - 1494) + '\070'):
if not roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b"hf\xae2N\xeb'\x86X\x03P\xc9"), chr(0b1010111 + 0o15) + '\x65' + '\143' + chr(0b111111 + 0o60) + chr(100) + '\x65')(chr(12544 - 12427) + chr(0b100001 + 0o123) + chr(3134 - 3032) + chr(0b101101) + chr(0b111000))):
if oclC8DLjA_lV(roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'~g\xf0#\x1f\x9a\x19\xa7i!n\xea'), chr(0b110011 + 0o61) + chr(101) + chr(0b110100 + 0o57) + chr(0b111010 + 0o65) + '\x64' + chr(101))(chr(117) + chr(0b1001 + 0o153) + '\146' + chr(45) + chr(0b100 + 0o64)))[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), '\144' + '\x65' + chr(99) + chr(8916 - 8805) + '\144' + chr(0b1100101))(chr(0b1000100 + 0o61) + chr(11328 - 11212) + chr(0b1100110) + chr(0b10001 + 0o34) + '\x38')] < nzTpIcepk0o8('\060' + chr(0b1101111) + chr(48), 8)) > nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b111 + 0o51), 8) and (not LmW_hbTUDgzE):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'cs\x87#"\x94A\x93`#F\xf5Rl\xd7\xd5\xc1y\xccfA#\xad\x9fH\x7f_\xb0\xccr\x13\x9e!f"}\xad\x91\x0e\x1aY\x16\xaa\x07\x1a\xb8\x14\xa8@\x05a\xd2{\x0b\x9d\x94\xddh\xc2d\\:\xba\x8e\x01uU\xf7\xcanV\x9d?f2`\xe8\x88\x12Q'), chr(100) + chr(0b1010001 + 0o24) + chr(0b100010 + 0o101) + '\157' + '\144' + chr(4636 - 4535))('\165' + chr(11843 - 11727) + chr(0b10111 + 0o117) + chr(1828 - 1783) + '\x38'))
else:
sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), '\144' + chr(6526 - 6425) + '\143' + '\157' + chr(7314 - 7214) + chr(0b1010110 + 0o17))(chr(1539 - 1422) + chr(3836 - 3720) + chr(6270 - 6168) + chr(0b101101) + '\x38')][sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), '\144' + '\x65' + '\143' + '\157' + chr(0b1000111 + 0o35) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b110101 + 0o61) + chr(0b1001 + 0o44) + chr(0b111000))] < nzTpIcepk0o8(chr(0b101100 + 0o4) + '\x6f' + chr(0b10101 + 0o33), 8)] = nzTpIcepk0o8(chr(48) + chr(9622 - 9511) + chr(0b100000 + 0o20), 8)
vBy4LaCHhegz = nDF4gVNx0u9Q.UmwwEp7MzR6q([sHR__4_c0Uoo.netshape[nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(111) + chr(1196 - 1148), 8)], sHR__4_c0Uoo.netshape[nzTpIcepk0o8(chr(194 - 146) + chr(0b101011 + 0o104) + '\x31', 8)]])
if ftfygxgFas5X(roI3spqORKae(zoiuJtv6Z4HM, roI3spqORKae(ES5oEprVxulp(b'[^\xab+F\xe2S\x85g&0\xda'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b100101 + 0o77) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b100001 + 0o27)))) == nzTpIcepk0o8(chr(0b110000) + chr(6008 - 5897) + chr(0b110001), 8):
for h3Vc_4wxEbgd in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'T^\xa4/)\x9c,\x91~\x02M\xd5'), chr(5133 - 5033) + chr(0b1100101) + '\x63' + chr(8977 - 8866) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(56)))(nzTpIcepk0o8('\060' + chr(111) + chr(0b110000), 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x15\x1e\xba\x11\xa1'), '\x64' + chr(0b1001111 + 0o26) + '\143' + chr(0b1101111) + chr(0b11011 + 0o111) + chr(101))(chr(7392 - 7275) + '\x74' + chr(102) + chr(45) + '\x38'))[nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1039 - 990), 8)]):
eb_JimPifyhR = zoiuJtv6Z4HM
LI6vCZvGABEo = sHR__4_c0Uoo.get_network_when(t=h3Vc_4wxEbgd)
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + '\x64' + '\x65')('\x75' + chr(0b111000 + 0o74) + chr(0b100 + 0o142) + chr(0b101101) + chr(0b11101 + 0o33)))[nzTpIcepk0o8(chr(1938 - 1890) + chr(2283 - 2172) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'S'), '\x64' + chr(101) + '\x63' + '\x6f' + chr(8148 - 8048) + '\x65')(chr(0b1110101) + chr(467 - 351) + '\146' + '\055' + chr(0b111000)):
ILJ4Off_mfIC = LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b'^'), chr(0b1100100) + '\x65' + '\143' + chr(0b11 + 0o154) + chr(100) + chr(0b1101 + 0o130))(chr(0b1110101) + chr(116) + chr(0b100111 + 0o77) + chr(0b100100 + 0o11) + '\070')].CsodZJH6x9Tx
else:
ILJ4Off_mfIC = nDF4gVNx0u9Q.concatenate([LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b'^'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + chr(101))(chr(5132 - 5015) + chr(6981 - 6865) + '\x66' + '\x2d' + '\070')].CsodZJH6x9Tx, LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b']'), chr(100) + '\145' + '\143' + chr(0b1001011 + 0o44) + '\144' + '\145')(chr(7992 - 7875) + '\x74' + chr(0b0 + 0o146) + '\055' + chr(56))].CsodZJH6x9Tx])
ILJ4Off_mfIC = nDF4gVNx0u9Q.unique(ILJ4Off_mfIC).tolist()
ILJ4Off_mfIC = H4NoA26ON7iG(VVP82lOIz6CD(nzTpIcepk0o8, ILJ4Off_mfIC))
for ZlbFMSG8gCoF in ILJ4Off_mfIC:
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b101101 + 0o67) + chr(5478 - 5377) + chr(0b110101 + 0o56) + '\x6f' + chr(4882 - 4782) + chr(0b10110 + 0o117))(chr(0b1100001 + 0o24) + chr(10821 - 10705) + chr(0b1111 + 0o127) + chr(0b11100 + 0o21) + '\070'))[nzTpIcepk0o8(chr(0b110000) + chr(8606 - 8495) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'S'), '\144' + chr(0b1 + 0o144) + chr(0b1100011) + '\x6f' + chr(100) + chr(9160 - 9059))(chr(117) + chr(0b1110100) + '\x66' + chr(2017 - 1972) + '\x38'):
jpOn8DNZxbbx = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, t=h3Vc_4wxEbgd)
AQfIhJiYl7ag = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b']'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1000100 + 0o53) + chr(0b1100100) + '\x65')('\x75' + chr(0b11001 + 0o133) + chr(0b1100110) + chr(0b1011 + 0o42) + chr(56))].CsodZJH6x9Tx
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(100) + chr(101) + chr(5622 - 5523) + '\x6f' + '\144' + '\145')('\x75' + chr(0b1101111 + 0o5) + chr(0b1011010 + 0o14) + chr(470 - 425) + chr(0b1 + 0o67))) == roI3spqORKae(ES5oEprVxulp(b'@R'), chr(100) + chr(0b11101 + 0o110) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b101111 + 0o106) + chr(0b1110100) + chr(0b1100110) + chr(0b101101 + 0o0) + '\x38'):
GHk_G50fP8gW = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), chr(0b1011011 + 0o11) + '\145' + chr(0b1100011) + chr(111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1000110 + 0o56) + '\146' + chr(834 - 789) + chr(0b111000))].oclC8DLjA_lV()
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(0b10010 + 0o33) + chr(1036 - 980))) == roI3spqORKae(ES5oEprVxulp(b'UR'), chr(7475 - 7375) + chr(0b11110 + 0o107) + '\x63' + chr(111) + '\x64' + chr(101))('\x75' + '\x74' + '\146' + chr(45) + chr(1271 - 1215)):
GHk_G50fP8gW = ftfygxgFas5X(jpOn8DNZxbbx)
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(7334 - 7234) + chr(0b1100101) + '\143' + chr(9779 - 9668) + '\x64' + chr(101))('\165' + chr(10203 - 10087) + chr(102) + '\x2d' + '\070'))[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b11 + 0o56), 8)] == roI3spqORKae(ES5oEprVxulp(b'B'), '\x64' + chr(0b1100101) + '\143' + chr(0b10100 + 0o133) + chr(0b111001 + 0o53) + chr(101))(chr(3328 - 3211) + chr(0b110101 + 0o77) + chr(0b10011 + 0o123) + chr(45) + chr(2908 - 2852)):
jpOn8DNZxbbx = sHR__4_c0Uoo.get_network_when(ij=ZlbFMSG8gCoF, t=h3Vc_4wxEbgd)
AQfIhJiYl7ag = nDF4gVNx0u9Q.concatenate([jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'^'), chr(9449 - 9349) + chr(0b1100101) + '\143' + chr(111) + chr(0b1000 + 0o134) + chr(101))(chr(5153 - 5036) + chr(0b1110100) + '\146' + chr(0b101101) + chr(2655 - 2599))].CsodZJH6x9Tx, jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b']'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(6027 - 5916) + '\144' + '\145')('\165' + '\x74' + chr(0b1100110) + '\055' + chr(2043 - 1987))].CsodZJH6x9Tx])
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1010 + 0o132) + chr(101) + chr(99) + chr(0b0 + 0o157) + chr(10000 - 9900) + chr(0b101110 + 0o67))('\165' + chr(605 - 489) + '\x66' + '\055' + chr(3002 - 2946))) == roI3spqORKae(ES5oEprVxulp(b'@C'), chr(0b1100100) + chr(0b1011110 + 0o7) + '\143' + '\x6f' + chr(100) + chr(101))('\165' + '\x74' + chr(0b101110 + 0o70) + '\x2d' + chr(0b111000)):
GHk_G50fP8gW = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), '\144' + chr(0b1100101) + chr(0b110101 + 0o56) + chr(115 - 4) + chr(8815 - 8715) + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(1767 - 1722) + '\070')].oclC8DLjA_lV()
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b1000110 + 0o36) + '\x65')(chr(117) + chr(1997 - 1881) + chr(102) + chr(188 - 143) + '\070')) == roI3spqORKae(ES5oEprVxulp(b'UC'), '\x64' + chr(101) + '\x63' + chr(7336 - 7225) + '\144' + '\145')(chr(8240 - 8123) + '\x74' + chr(9218 - 9116) + chr(0b101101 + 0o0) + chr(0b111000)):
GHk_G50fP8gW = ftfygxgFas5X(jpOn8DNZxbbx)
AQfIhJiYl7ag = H4NoA26ON7iG(VVP82lOIz6CD(nzTpIcepk0o8, AQfIhJiYl7ag))
for teUmM7cKWZUa in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'p\x05\xad\x03D\xbe6\x95@"8\xf8'), chr(0b10100 + 0o120) + chr(0b1011011 + 0o12) + chr(99) + chr(3618 - 3507) + chr(0b100101 + 0o77) + chr(101))(chr(0b100011 + 0o122) + '\x74' + chr(102) + '\x2d' + '\x38'))(eb_JimPifyhR[AQfIhJiYl7ag]):
cjIqqAi052T8 = nDF4gVNx0u9Q.where(eb_JimPifyhR == teUmM7cKWZUa)[nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(12185 - 12074) + '\060', 8)].tolist()
oF3O9MwHweIR = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, j=cjIqqAi052T8, t=h3Vc_4wxEbgd)
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + chr(7997 - 7896) + '\x63' + chr(111) + chr(0b1001 + 0o133) + chr(635 - 534))(chr(6891 - 6774) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000)))[nzTpIcepk0o8(chr(1333 - 1285) + chr(0b1101111) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'B'), chr(100) + chr(0b110110 + 0o57) + chr(0b1010001 + 0o22) + chr(111) + chr(0b1100100) + chr(7710 - 7609))(chr(0b1110101) + '\x74' + '\146' + chr(1036 - 991) + chr(0b111000)):
dXdecbxnjyVX = sHR__4_c0Uoo.get_network_when(j=ZlbFMSG8gCoF, i=cjIqqAi052T8, t=h3Vc_4wxEbgd)
oF3O9MwHweIR = HLKt4sa1j9hm.concat([oF3O9MwHweIR, dXdecbxnjyVX])
if ftfygxgFas5X(oF3O9MwHweIR) > nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8):
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + '\145' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b1100100 + 0o21) + chr(0b11011 + 0o131) + chr(1274 - 1172) + chr(45) + chr(1920 - 1864)))[nzTpIcepk0o8(chr(0b110000) + chr(0b1010100 + 0o33) + '\x30', 8)] == roI3spqORKae(ES5oEprVxulp(b'U'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(3270 - 3169))('\x75' + '\164' + '\146' + chr(0b101101) + chr(0b111000)):
oF3O9MwHweIR = ftfygxgFas5X(oF3O9MwHweIR)
else:
oF3O9MwHweIR = oF3O9MwHweIR[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\x65')('\x75' + '\x74' + chr(280 - 178) + chr(0b100111 + 0o6) + chr(0b111000))].oclC8DLjA_lV()
vBy4LaCHhegz[ZlbFMSG8gCoF, h3Vc_4wxEbgd] += nDF4gVNx0u9Q.square(oF3O9MwHweIR / GHk_G50fP8gW)
vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd] = nzTpIcepk0o8('\060' + '\157' + chr(0b101011 + 0o6), 8) - vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd]
if zYAN6XjDtf07 is not None and h3Vc_4wxEbgd > nzTpIcepk0o8('\x30' + chr(0b10000 + 0o137) + chr(0b110000), 8):
vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd] += zYAN6XjDtf07 * vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd - nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001), 8)]
else:
for h3Vc_4wxEbgd in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'T^\xa4/)\x9c,\x91~\x02M\xd5'), chr(0b101110 + 0o66) + chr(8523 - 8422) + '\143' + '\x6f' + chr(0b1010100 + 0o20) + chr(0b101001 + 0o74))(chr(117) + chr(116) + '\x66' + chr(45) + '\x38'))(nzTpIcepk0o8('\060' + chr(111) + chr(0b110000), 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x15\x1e\xba\x11\xa1'), chr(100) + chr(0b110000 + 0o65) + '\x63' + chr(111) + '\144' + '\145')('\165' + chr(0b1101010 + 0o12) + chr(102) + chr(45) + '\x38'))[nzTpIcepk0o8(chr(210 - 162) + '\157' + '\x31', 8)]):
LI6vCZvGABEo = sHR__4_c0Uoo.get_network_when(t=h3Vc_4wxEbgd)
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + '\x65' + chr(8021 - 7922) + chr(0b10 + 0o155) + '\144' + '\145')('\x75' + chr(0b1010111 + 0o35) + chr(9403 - 9301) + chr(0b10110 + 0o27) + chr(56)))[nzTpIcepk0o8(chr(1810 - 1762) + '\x6f' + chr(0b100010 + 0o17), 8)] == roI3spqORKae(ES5oEprVxulp(b'S'), chr(100) + chr(2240 - 2139) + chr(2481 - 2382) + chr(10407 - 10296) + chr(100) + chr(5047 - 4946))(chr(0b1011101 + 0o30) + '\x74' + '\x66' + '\x2d' + '\x38'):
ILJ4Off_mfIC = LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b'^'), chr(8299 - 8199) + '\145' + chr(0b1100011) + chr(6434 - 6323) + chr(0b1000011 + 0o41) + chr(1647 - 1546))(chr(117) + chr(116) + '\146' + '\055' + chr(56))].CsodZJH6x9Tx
else:
ILJ4Off_mfIC = nDF4gVNx0u9Q.concatenate([LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b'^'), chr(0b1100100) + chr(9177 - 9076) + chr(0b1010101 + 0o16) + chr(111) + '\x64' + chr(101))(chr(117) + chr(2492 - 2376) + chr(0b1011010 + 0o14) + '\x2d' + chr(0b101111 + 0o11))].CsodZJH6x9Tx, LI6vCZvGABEo[roI3spqORKae(ES5oEprVxulp(b']'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1010110 + 0o16) + chr(0b1000100 + 0o41))('\x75' + '\x74' + '\x66' + '\x2d' + chr(56))].CsodZJH6x9Tx])
ILJ4Off_mfIC = nDF4gVNx0u9Q.unique(ILJ4Off_mfIC).tolist()
ILJ4Off_mfIC = H4NoA26ON7iG(VVP82lOIz6CD(nzTpIcepk0o8, ILJ4Off_mfIC))
for ZlbFMSG8gCoF in ILJ4Off_mfIC:
for ybHc9x_PUc9I in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'T^\xa4/)\x9c,\x91~\x02M\xd5'), chr(4804 - 4704) + chr(7296 - 7195) + chr(0b111100 + 0o47) + chr(111) + chr(0b11001 + 0o113) + chr(0b1011000 + 0o15))(chr(117) + chr(0b110 + 0o156) + chr(102) + chr(45) + '\x38'))(nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + '\x30', 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x15\x1e\xba\x11\xa1'), chr(0b111101 + 0o47) + '\x65' + chr(7023 - 6924) + chr(111) + chr(0b10110 + 0o116) + chr(0b1100101))(chr(0b1111 + 0o146) + chr(5168 - 5052) + chr(102) + chr(0b101101) + '\070'))[nzTpIcepk0o8(chr(1401 - 1353) + '\x6f' + chr(49), 8)]):
eb_JimPifyhR = zoiuJtv6Z4HM[:, ybHc9x_PUc9I]
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b110111 + 0o55) + '\x65' + '\143' + '\x6f' + '\144' + chr(101))(chr(2613 - 2496) + chr(0b100 + 0o160) + chr(8531 - 8429) + '\055' + chr(0b1001 + 0o57)))[nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'S'), chr(0b1100100) + chr(3357 - 3256) + chr(99) + chr(0b1101111) + chr(8000 - 7900) + chr(0b100 + 0o141))(chr(0b1010110 + 0o37) + '\164' + '\146' + chr(0b1010 + 0o43) + chr(0b101 + 0o63)):
jpOn8DNZxbbx = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, t=h3Vc_4wxEbgd)
AQfIhJiYl7ag = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b']'), chr(100) + chr(7230 - 7129) + '\x63' + chr(2417 - 2306) + chr(0b1000 + 0o134) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000))].CsodZJH6x9Tx
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(5488 - 5388) + chr(0b1100101) + chr(0b1100001 + 0o2) + chr(0b1011111 + 0o20) + chr(100) + chr(0b101010 + 0o73))('\165' + chr(0b111101 + 0o67) + chr(0b110100 + 0o62) + '\x2d' + '\x38')) == roI3spqORKae(ES5oEprVxulp(b'@R'), chr(0b1100100) + '\145' + chr(0b11100 + 0o107) + chr(2111 - 2000) + '\144' + chr(0b1000101 + 0o40))('\165' + chr(116) + '\146' + chr(45) + chr(840 - 784)):
GHk_G50fP8gW = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), chr(100) + chr(101) + '\x63' + chr(2157 - 2046) + chr(100) + chr(0b101111 + 0o66))(chr(0b1010001 + 0o44) + '\164' + chr(0b1100110) + chr(0b100 + 0o51) + chr(56))].oclC8DLjA_lV()
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), '\144' + chr(101) + chr(0b10110 + 0o115) + chr(0b1101111) + chr(0b1100100) + chr(101))('\x75' + '\x74' + chr(9148 - 9046) + chr(0b101101) + chr(56))) == roI3spqORKae(ES5oEprVxulp(b'UR'), chr(100) + chr(0b10000 + 0o125) + chr(4496 - 4397) + chr(5922 - 5811) + chr(0b100010 + 0o102) + '\x65')('\x75' + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)):
GHk_G50fP8gW = ftfygxgFas5X(jpOn8DNZxbbx)
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b10 + 0o142) + chr(0b1100001 + 0o4) + '\143' + chr(0b1101111) + '\144' + chr(0b101010 + 0o73))(chr(117) + chr(0b1110100) + '\146' + chr(45) + '\x38'))[nzTpIcepk0o8(chr(48) + chr(0b1 + 0o156) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'B'), chr(100) + chr(1828 - 1727) + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b101000 + 0o76) + chr(0b11001 + 0o24) + chr(56)):
jpOn8DNZxbbx = sHR__4_c0Uoo.get_network_when(ij=ZlbFMSG8gCoF, t=h3Vc_4wxEbgd)
AQfIhJiYl7ag = nDF4gVNx0u9Q.concatenate([jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'^'), chr(0b1100100) + chr(101) + chr(8861 - 8762) + chr(111) + chr(100) + '\145')(chr(117) + chr(0b1001101 + 0o47) + chr(102) + chr(0b101101) + chr(0b100011 + 0o25))].CsodZJH6x9Tx, jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b']'), chr(0b1100100) + '\x65' + chr(99) + chr(0b11010 + 0o125) + '\144' + chr(0b1100101))(chr(12847 - 12730) + '\164' + '\146' + chr(0b101101) + chr(56))].CsodZJH6x9Tx])
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), '\144' + '\145' + chr(7143 - 7044) + chr(0b1011101 + 0o22) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + '\x38')) == roI3spqORKae(ES5oEprVxulp(b'@C'), chr(0b1011000 + 0o14) + '\145' + chr(9764 - 9665) + chr(0b111 + 0o150) + chr(0b1010111 + 0o15) + chr(0b1100101))(chr(0b1110101) + chr(1635 - 1519) + '\146' + chr(460 - 415) + chr(1912 - 1856)):
GHk_G50fP8gW = jpOn8DNZxbbx[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), chr(8003 - 7903) + chr(9796 - 9695) + '\143' + '\x6f' + chr(5703 - 5603) + chr(0b1100101))(chr(13647 - 13530) + '\164' + chr(102) + '\055' + '\x38')].oclC8DLjA_lV()
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(1890 - 1790) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b1 + 0o67))) == roI3spqORKae(ES5oEprVxulp(b'UC'), chr(100) + '\145' + chr(99) + chr(111) + '\144' + '\145')('\165' + chr(316 - 200) + chr(4188 - 4086) + '\055' + chr(0b111000)):
GHk_G50fP8gW = ftfygxgFas5X(jpOn8DNZxbbx)
AQfIhJiYl7ag = H4NoA26ON7iG(VVP82lOIz6CD(nzTpIcepk0o8, AQfIhJiYl7ag))
for teUmM7cKWZUa in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'p\x05\xad\x03D\xbe6\x95@"8\xf8'), chr(5837 - 5737) + chr(8815 - 8714) + chr(0b1100011) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110 + 0o147) + chr(8291 - 8175) + '\x66' + chr(277 - 232) + chr(546 - 490)))(eb_JimPifyhR[AQfIhJiYl7ag]):
cjIqqAi052T8 = nDF4gVNx0u9Q.where(eb_JimPifyhR == teUmM7cKWZUa)[nzTpIcepk0o8('\060' + chr(10938 - 10827) + '\x30', 8)].tolist()
oF3O9MwHweIR = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, j=cjIqqAi052T8, t=h3Vc_4wxEbgd)
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + chr(9208 - 9107) + chr(3437 - 3338) + '\x6f' + '\x64' + chr(0b1011111 + 0o6))(chr(0b1110101) + chr(116) + chr(9702 - 9600) + '\x2d' + '\x38'))[nzTpIcepk0o8('\x30' + chr(3169 - 3058) + chr(0b110000 + 0o1), 8)] == roI3spqORKae(ES5oEprVxulp(b'B'), chr(7848 - 7748) + chr(101) + chr(8041 - 7942) + '\157' + '\x64' + '\145')(chr(3034 - 2917) + '\x74' + chr(0b1100110) + '\x2d' + '\x38'):
dXdecbxnjyVX = sHR__4_c0Uoo.get_network_when(j=ZlbFMSG8gCoF, i=cjIqqAi052T8, t=h3Vc_4wxEbgd)
oF3O9MwHweIR = HLKt4sa1j9hm.concat([oF3O9MwHweIR, dXdecbxnjyVX])
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'YS\xbd\x12\x0f\xab\x04'), chr(0b1100100) + chr(0b1000000 + 0o45) + chr(0b101010 + 0o71) + chr(111) + chr(0b1100100) + '\145')('\165' + '\x74' + '\x66' + chr(861 - 816) + chr(2783 - 2727)))[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110000), 8)] == roI3spqORKae(ES5oEprVxulp(b'U'), '\144' + chr(0b100001 + 0o104) + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(0b11011 + 0o132) + chr(0b110011 + 0o101) + '\146' + '\055' + chr(0b101001 + 0o17)):
oF3O9MwHweIR = ftfygxgFas5X(oF3O9MwHweIR)
else:
oF3O9MwHweIR = oF3O9MwHweIR[roI3spqORKae(ES5oEprVxulp(b'@S\xa0\x01\x1e\xaf'), '\x64' + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(399 - 298))(chr(683 - 566) + chr(3245 - 3129) + chr(5981 - 5879) + chr(442 - 397) + chr(56))].oclC8DLjA_lV()
vBy4LaCHhegz[ZlbFMSG8gCoF, h3Vc_4wxEbgd] += nDF4gVNx0u9Q.square(oF3O9MwHweIR / GHk_G50fP8gW)
vBy4LaCHhegz[ZlbFMSG8gCoF, h3Vc_4wxEbgd] = vBy4LaCHhegz[ZlbFMSG8gCoF, h3Vc_4wxEbgd] / sHR__4_c0Uoo.netshape[nzTpIcepk0o8(chr(174 - 126) + chr(5892 - 5781) + chr(49), 8)]
vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd] = nzTpIcepk0o8('\x30' + chr(0b110110 + 0o71) + chr(49), 8) - vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd]
if zYAN6XjDtf07 is not None and h3Vc_4wxEbgd > nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(111) + '\x30', 8):
vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd] += zYAN6XjDtf07 * vBy4LaCHhegz[ILJ4Off_mfIC, h3Vc_4wxEbgd - nzTpIcepk0o8(chr(278 - 230) + '\157' + chr(0b101101 + 0o4), 8)]
vBy4LaCHhegz[nDF4gVNx0u9Q.w1q0TwtATQ6X(vBy4LaCHhegz) == nzTpIcepk0o8('\060' + '\x6f' + chr(0b100 + 0o55), 8)] = nzTpIcepk0o8('\060' + '\157' + chr(48), 8)
return vBy4LaCHhegz |
wiheto/teneto | teneto/plot/graphlet_stack_plot.py | graphlet_stack_plot | def graphlet_stack_plot(netin, ax, q=10, cmap='Reds', gridcolor='k', borderwidth=2, bordercolor=None, Fs=1, timeunit='', t0=1, sharpen='yes', vminmax='minmax'):
r'''
Returns matplotlib axis handle for graphlet_stack_plot. This is a row of transformed connectivity matrices to look like a 3D stack.
Parameters
----------
netin : array, dict
network input (graphlet or contact)
ax : matplotlib ax handles.
q : int
Quality. Increaseing this will lead to smoother axis but take up more memory.
cmap : str
Colormap (matplotlib) of graphlets
Fs : int
Sampling rate. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
timeunit : str
Unit of time for xlabel. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
t0 : int
What should the first time point be called. Should be integer. Default 1.
gridcolor : str
The color of the grid section of the graphlets. Set to 'none' if not wanted.
borderwidth : int
Scales the size of border. (at the moment it cannot be set to 0.)
bordorcolor :
color of the border (at the moment it must be in RGB values between 0 and 1 -> this will be changed sometime in the future). Default: black.
vminmax : str
'maxabs', 'minmax' (default), or list/array with length of 2. Specifies the min and max colormap value of graphlets. Maxabs entails [-max(abs(G)),max(abs(G))], minmax entails [min(G), max(G)].
Returns
--------
ax : matplotlib ax handle
Note
------
This function can require a lot of RAM with larger networks.
Note
------
At the momenet bordercolor cannot be set to zero. To remove border, set bordorwidth=1 and bordercolor=[1,1,1] for temporay workaround.
Examples
-------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap='Greys')
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Greys'
ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap=cmap)
fig.show()
'''
# Get input type (C, G, TO)
inputType = checkInput(netin)
# Convert TO to C representation
if inputType == 'TO':
netin = netin.contact
inputType = 'C'
# Convert C representation to G
if inputType == 'C':
if timeunit == '':
timeunit = netin['timeunit']
if t0 == 1:
t0 = netin['t0']
if Fs == 1:
Fs = netin['Fs']
netin = contact2graphlet(netin)
if timeunit != '':
timeunit = ' (' + timeunit + ')'
if bordercolor == None:
bordercolor = [0, 0, 0]
if not isinstance(borderwidth, int):
borderwidth = int(borderwidth)
print('Warning: borderwidth should be an integer. Converting to integer.')
# x and y ranges for each of the graphlet plots
v = np.arange(0, netin.shape[0] + 1)
vr = np.arange(netin.shape[0], -1, -1)
# Preallocatie matrix
if vminmax == '' or vminmax == 'absmax' or vminmax == 'maxabs':
vminmax = [-np.nanmax(np.abs(netin)), np.nanmax(np.abs(netin))]
elif vminmax == 'minmax':
vminmax = [np.nanmin(netin), np.nanmax(netin)]
qb = q * borderwidth
figmat = np.zeros([80 * q + (qb * 2), int(((netin.shape[-1]) *
(80 * q) + (qb * 2)) - ((netin.shape[-1] - 1) * q * 80) / 2), 4])
for n in range(0, netin.shape[-1]):
# Create graphlet
figtmp, axtmp = plt.subplots(
1, facecolor='white', figsize=(q, q), dpi=80)
axtmp.pcolormesh(v, vr, netin[:, :, n], cmap=cmap, edgecolor=gridcolor,
linewidth=q * 2, vmin=vminmax[0], vmax=vminmax[1])
axtmp.set_xticklabels('')
axtmp.set_yticklabels('')
axtmp.set_xticks([])
axtmp.set_yticks([])
x0, x1 = axtmp.get_xlim()
y0, y1 = axtmp.get_ylim()
axtmp.set_aspect((x1 - x0) / (y1 - y0))
axtmp.spines['left'].set_visible(False)
axtmp.spines['right'].set_visible(False)
axtmp.spines['top'].set_visible(False)
axtmp.spines['bottom'].set_visible(False)
plt.subplots_adjust(left=0, bottom=0, right=1,
top=1, wspace=0, hspace=0)
# Convert graphlet to RGB values
figtmp.canvas.draw()
figmattmp = np.fromstring(
figtmp.canvas.tostring_rgb(), dtype=np.uint8, sep='')
figmattmp = figmattmp.reshape(
figtmp.canvas.get_width_height()[::-1] + (3,))
# Close figure for memory
plt.close(figtmp)
# Manually add a border
figmattmp_withborder = np.zeros(
[figmattmp.shape[0] + (qb * 2), figmattmp.shape[1] + (qb * 2), 3]) + (np.array(bordercolor) * 255)
figmattmp_withborder[qb:-qb, qb:-qb, :] = figmattmp
# Make corners rounded. First make a circle and then take the relevant quarter for each corner.
y, x = np.ogrid[-qb: qb + 1, -qb: qb + 1]
mask = x * x + y * y <= qb * qb
# A little clumsy. Should improve
Mq1 = np.vstack([[mask[:qb, :qb] == 0], [mask[:qb, :qb] == 0], [
mask[:qb, :qb] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[:qb, :qb, :][Mq1] = 255
Mq1 = np.vstack([[mask[:qb, -qb:] == 0], [mask[:qb, -qb:]
== 0], [mask[:qb, -qb:] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[:qb, -qb:, :][Mq1] = 255
Mq1 = np.vstack([[mask[-qb:, :qb] == 0], [mask[-qb:, :qb]
== 0], [mask[-qb:, :qb] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[-qb:, :qb, :][Mq1] = 255
Mq1 = np.vstack([[mask[-qb:, -qb:] == 0], [mask[-qb:, -qb:]
== 0], [mask[-qb:, -qb:] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[-qb:, -qb:, :][Mq1] = 255
#scale and sheer
scale = np.matrix([[1.5, 0, 0], [0, 3, 0], [0, 0, 1]])
sheer = np.matrix([[1, np.tan(np.pi / 12), 0], [0, 1, 0], [0, 0, 1]])
# apply affine transformation
figmattmp = ndimage.affine_transform(
figmattmp_withborder, sheer * (scale), offset=[-35 * q, 0, 0], cval=255)
# At the moment the alpha part does not work if the background colour is anything but white.
# Also used for detecting where the graphlets are in the image.
trans = np.where(np.sum(figmattmp, axis=2) == 255 * 3)
alphamat = np.ones([figmattmp.shape[0], figmattmp.shape[0]])
alphamat[trans[0], trans[1]] = 0
figmattmp = np.dstack([figmattmp, alphamat])
# Add graphlet to matrix
if n == 0:
figmat[:, n * (80 * q):((n + 1) * (80 * q) + (qb * 2))] = figmattmp
else:
figmat[:, n * (80 * q) - int((n * q * 80) / 2):int(((n + 1)
* (80 * q) + (qb * 2)) - (n * q * 80) / 2)] = figmattmp
# Fix colours - due to imshows weirdness when taking nxnx3
figmat[:, :, 0:3] = figmat[:, :, 0:3] / 255
# Cut end of matrix off that isn't need
figmat = figmat[:, :-int((q / 2) * 80), :]
fid = np.where(figmat[:, :, -1] > 0)
fargmin = np.argmin(fid[0])
ymax = np.max(fid[0])
yright = np.max(np.where(figmat[:, fid[1][fargmin], -1] > 0))
xtickloc = np.where(figmat[ymax, :, -1] > 0)[0]
# In case there are multiple cases of xtickloc in same graphlet (i.e. they all have the same lowest value)
xtickloc = np.delete(xtickloc, np.where(np.diff(xtickloc) == 1)[0] + 1)
fid = np.where(figmat[:, :, -1] > 0)
ymin = np.min(fid[0])
topfig = np.where(figmat[ymin, :, -1] > 0)[0]
topfig = topfig[0:len(topfig):int(len(topfig) / netin.shape[-1])]
# Make squares of non transparency around each figure (this fixes transparency issues when white is in the colormap)
# for n in range(0,len(topfig)):
# fid=np.where(figmat[ymin:ymax,xtickloc[n]:topfig[n],-1]==0)
# figmat[ymin:ymax,xtickloc[n]:topfig[n],:3][fid[0],fid[1]]=1
# figmat[ymin+q:ymax-q,xtickloc[n]+q:topfig[n]-q,-1]=1
# Create figure
# Sharped edges of figure with median filter
if sharpen == 'yes':
figmat[:, :, :-1] = ndimage.median_filter(figmat[:, :, :-1], 3)
ax.imshow(figmat[:, :, :-1], zorder=1)
ax.spines['left'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.set_xticklabels('')
ax.set_yticklabels('')
ax.set_xticks([])
ax.set_yticks([])
L = int((((netin.shape[-1] - 3) + 1) * (80 * q) +
(qb * 2)) - ((netin.shape[-1] - 3) * q * 80) / 2 - q)
_ = [ax.plot(range(topfig[i], xt), np.zeros(len(range(topfig[i], xt))) + yright,
color='k', linestyle=':', zorder=2) for i, xt in enumerate(xtickloc[1:])]
ax.plot(range(0, L), np.zeros(L) + ymax,
color='k', linestyle=':', zorder=2)
_ = [ax.plot(np.zeros(q * 10) + xt, np.arange(ymax, ymax + q * 10),
color='k', linestyle=':', zorder=2) for xt in xtickloc]
_ = [ax.text(xt, ymax + q * 20, str(round((i + t0) * Fs, 5)),
horizontalalignment='center',) for i, xt in enumerate(xtickloc)]
ylim = ax.axes.get_ylim()
xlim = ax.axes.get_xlim()
ax.set_ylim(ylim[0] + q * 15, 0)
ax.set_xlim(xlim[0] - q * 20, xlim[1])
ax.set_xlabel('Time' + timeunit)
return ax | python | def graphlet_stack_plot(netin, ax, q=10, cmap='Reds', gridcolor='k', borderwidth=2, bordercolor=None, Fs=1, timeunit='', t0=1, sharpen='yes', vminmax='minmax'):
r'''
Returns matplotlib axis handle for graphlet_stack_plot. This is a row of transformed connectivity matrices to look like a 3D stack.
Parameters
----------
netin : array, dict
network input (graphlet or contact)
ax : matplotlib ax handles.
q : int
Quality. Increaseing this will lead to smoother axis but take up more memory.
cmap : str
Colormap (matplotlib) of graphlets
Fs : int
Sampling rate. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
timeunit : str
Unit of time for xlabel. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
t0 : int
What should the first time point be called. Should be integer. Default 1.
gridcolor : str
The color of the grid section of the graphlets. Set to 'none' if not wanted.
borderwidth : int
Scales the size of border. (at the moment it cannot be set to 0.)
bordorcolor :
color of the border (at the moment it must be in RGB values between 0 and 1 -> this will be changed sometime in the future). Default: black.
vminmax : str
'maxabs', 'minmax' (default), or list/array with length of 2. Specifies the min and max colormap value of graphlets. Maxabs entails [-max(abs(G)),max(abs(G))], minmax entails [min(G), max(G)].
Returns
--------
ax : matplotlib ax handle
Note
------
This function can require a lot of RAM with larger networks.
Note
------
At the momenet bordercolor cannot be set to zero. To remove border, set bordorwidth=1 and bordercolor=[1,1,1] for temporay workaround.
Examples
-------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap='Greys')
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Greys'
ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap=cmap)
fig.show()
'''
# Get input type (C, G, TO)
inputType = checkInput(netin)
# Convert TO to C representation
if inputType == 'TO':
netin = netin.contact
inputType = 'C'
# Convert C representation to G
if inputType == 'C':
if timeunit == '':
timeunit = netin['timeunit']
if t0 == 1:
t0 = netin['t0']
if Fs == 1:
Fs = netin['Fs']
netin = contact2graphlet(netin)
if timeunit != '':
timeunit = ' (' + timeunit + ')'
if bordercolor == None:
bordercolor = [0, 0, 0]
if not isinstance(borderwidth, int):
borderwidth = int(borderwidth)
print('Warning: borderwidth should be an integer. Converting to integer.')
# x and y ranges for each of the graphlet plots
v = np.arange(0, netin.shape[0] + 1)
vr = np.arange(netin.shape[0], -1, -1)
# Preallocatie matrix
if vminmax == '' or vminmax == 'absmax' or vminmax == 'maxabs':
vminmax = [-np.nanmax(np.abs(netin)), np.nanmax(np.abs(netin))]
elif vminmax == 'minmax':
vminmax = [np.nanmin(netin), np.nanmax(netin)]
qb = q * borderwidth
figmat = np.zeros([80 * q + (qb * 2), int(((netin.shape[-1]) *
(80 * q) + (qb * 2)) - ((netin.shape[-1] - 1) * q * 80) / 2), 4])
for n in range(0, netin.shape[-1]):
# Create graphlet
figtmp, axtmp = plt.subplots(
1, facecolor='white', figsize=(q, q), dpi=80)
axtmp.pcolormesh(v, vr, netin[:, :, n], cmap=cmap, edgecolor=gridcolor,
linewidth=q * 2, vmin=vminmax[0], vmax=vminmax[1])
axtmp.set_xticklabels('')
axtmp.set_yticklabels('')
axtmp.set_xticks([])
axtmp.set_yticks([])
x0, x1 = axtmp.get_xlim()
y0, y1 = axtmp.get_ylim()
axtmp.set_aspect((x1 - x0) / (y1 - y0))
axtmp.spines['left'].set_visible(False)
axtmp.spines['right'].set_visible(False)
axtmp.spines['top'].set_visible(False)
axtmp.spines['bottom'].set_visible(False)
plt.subplots_adjust(left=0, bottom=0, right=1,
top=1, wspace=0, hspace=0)
# Convert graphlet to RGB values
figtmp.canvas.draw()
figmattmp = np.fromstring(
figtmp.canvas.tostring_rgb(), dtype=np.uint8, sep='')
figmattmp = figmattmp.reshape(
figtmp.canvas.get_width_height()[::-1] + (3,))
# Close figure for memory
plt.close(figtmp)
# Manually add a border
figmattmp_withborder = np.zeros(
[figmattmp.shape[0] + (qb * 2), figmattmp.shape[1] + (qb * 2), 3]) + (np.array(bordercolor) * 255)
figmattmp_withborder[qb:-qb, qb:-qb, :] = figmattmp
# Make corners rounded. First make a circle and then take the relevant quarter for each corner.
y, x = np.ogrid[-qb: qb + 1, -qb: qb + 1]
mask = x * x + y * y <= qb * qb
# A little clumsy. Should improve
Mq1 = np.vstack([[mask[:qb, :qb] == 0], [mask[:qb, :qb] == 0], [
mask[:qb, :qb] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[:qb, :qb, :][Mq1] = 255
Mq1 = np.vstack([[mask[:qb, -qb:] == 0], [mask[:qb, -qb:]
== 0], [mask[:qb, -qb:] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[:qb, -qb:, :][Mq1] = 255
Mq1 = np.vstack([[mask[-qb:, :qb] == 0], [mask[-qb:, :qb]
== 0], [mask[-qb:, :qb] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[-qb:, :qb, :][Mq1] = 255
Mq1 = np.vstack([[mask[-qb:, -qb:] == 0], [mask[-qb:, -qb:]
== 0], [mask[-qb:, -qb:] == 0]]).transpose([1, 2, 0])
figmattmp_withborder[-qb:, -qb:, :][Mq1] = 255
#scale and sheer
scale = np.matrix([[1.5, 0, 0], [0, 3, 0], [0, 0, 1]])
sheer = np.matrix([[1, np.tan(np.pi / 12), 0], [0, 1, 0], [0, 0, 1]])
# apply affine transformation
figmattmp = ndimage.affine_transform(
figmattmp_withborder, sheer * (scale), offset=[-35 * q, 0, 0], cval=255)
# At the moment the alpha part does not work if the background colour is anything but white.
# Also used for detecting where the graphlets are in the image.
trans = np.where(np.sum(figmattmp, axis=2) == 255 * 3)
alphamat = np.ones([figmattmp.shape[0], figmattmp.shape[0]])
alphamat[trans[0], trans[1]] = 0
figmattmp = np.dstack([figmattmp, alphamat])
# Add graphlet to matrix
if n == 0:
figmat[:, n * (80 * q):((n + 1) * (80 * q) + (qb * 2))] = figmattmp
else:
figmat[:, n * (80 * q) - int((n * q * 80) / 2):int(((n + 1)
* (80 * q) + (qb * 2)) - (n * q * 80) / 2)] = figmattmp
# Fix colours - due to imshows weirdness when taking nxnx3
figmat[:, :, 0:3] = figmat[:, :, 0:3] / 255
# Cut end of matrix off that isn't need
figmat = figmat[:, :-int((q / 2) * 80), :]
fid = np.where(figmat[:, :, -1] > 0)
fargmin = np.argmin(fid[0])
ymax = np.max(fid[0])
yright = np.max(np.where(figmat[:, fid[1][fargmin], -1] > 0))
xtickloc = np.where(figmat[ymax, :, -1] > 0)[0]
# In case there are multiple cases of xtickloc in same graphlet (i.e. they all have the same lowest value)
xtickloc = np.delete(xtickloc, np.where(np.diff(xtickloc) == 1)[0] + 1)
fid = np.where(figmat[:, :, -1] > 0)
ymin = np.min(fid[0])
topfig = np.where(figmat[ymin, :, -1] > 0)[0]
topfig = topfig[0:len(topfig):int(len(topfig) / netin.shape[-1])]
# Make squares of non transparency around each figure (this fixes transparency issues when white is in the colormap)
# for n in range(0,len(topfig)):
# fid=np.where(figmat[ymin:ymax,xtickloc[n]:topfig[n],-1]==0)
# figmat[ymin:ymax,xtickloc[n]:topfig[n],:3][fid[0],fid[1]]=1
# figmat[ymin+q:ymax-q,xtickloc[n]+q:topfig[n]-q,-1]=1
# Create figure
# Sharped edges of figure with median filter
if sharpen == 'yes':
figmat[:, :, :-1] = ndimage.median_filter(figmat[:, :, :-1], 3)
ax.imshow(figmat[:, :, :-1], zorder=1)
ax.spines['left'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['top'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.set_xticklabels('')
ax.set_yticklabels('')
ax.set_xticks([])
ax.set_yticks([])
L = int((((netin.shape[-1] - 3) + 1) * (80 * q) +
(qb * 2)) - ((netin.shape[-1] - 3) * q * 80) / 2 - q)
_ = [ax.plot(range(topfig[i], xt), np.zeros(len(range(topfig[i], xt))) + yright,
color='k', linestyle=':', zorder=2) for i, xt in enumerate(xtickloc[1:])]
ax.plot(range(0, L), np.zeros(L) + ymax,
color='k', linestyle=':', zorder=2)
_ = [ax.plot(np.zeros(q * 10) + xt, np.arange(ymax, ymax + q * 10),
color='k', linestyle=':', zorder=2) for xt in xtickloc]
_ = [ax.text(xt, ymax + q * 20, str(round((i + t0) * Fs, 5)),
horizontalalignment='center',) for i, xt in enumerate(xtickloc)]
ylim = ax.axes.get_ylim()
xlim = ax.axes.get_xlim()
ax.set_ylim(ylim[0] + q * 15, 0)
ax.set_xlim(xlim[0] - q * 20, xlim[1])
ax.set_xlabel('Time' + timeunit)
return ax | [
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",... | r'''
Returns matplotlib axis handle for graphlet_stack_plot. This is a row of transformed connectivity matrices to look like a 3D stack.
Parameters
----------
netin : array, dict
network input (graphlet or contact)
ax : matplotlib ax handles.
q : int
Quality. Increaseing this will lead to smoother axis but take up more memory.
cmap : str
Colormap (matplotlib) of graphlets
Fs : int
Sampling rate. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
timeunit : str
Unit of time for xlabel. Same as contact-representation (if netin is contact, and input is unset, contact dictionary is used)
t0 : int
What should the first time point be called. Should be integer. Default 1.
gridcolor : str
The color of the grid section of the graphlets. Set to 'none' if not wanted.
borderwidth : int
Scales the size of border. (at the moment it cannot be set to 0.)
bordorcolor :
color of the border (at the moment it must be in RGB values between 0 and 1 -> this will be changed sometime in the future). Default: black.
vminmax : str
'maxabs', 'minmax' (default), or list/array with length of 2. Specifies the min and max colormap value of graphlets. Maxabs entails [-max(abs(G)),max(abs(G))], minmax entails [min(G), max(G)].
Returns
--------
ax : matplotlib ax handle
Note
------
This function can require a lot of RAM with larger networks.
Note
------
At the momenet bordercolor cannot be set to zero. To remove border, set bordorwidth=1 and bordercolor=[1,1,1] for temporay workaround.
Examples
-------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap='Greys')
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Greys'
ax = teneto.plot.graphlet_stack_plot(C,ax,q=10,cmap=cmap)
fig.show() | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/plot/graphlet_stack_plot.py#L9-L271 | train | r Plot a 3D stack of graphlets. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(81 - 33) + chr(7404 - 7293) + chr(51) + chr(0b10110 + 0o33) + '\062', 55349 - 55341), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + '\x34' + chr(0b101110 + 0o4), 0o10), nzTpIcepk0o8(chr(48) + chr(11581 - 11470) + chr(994 - 945) + chr(1918 - 1864) + chr(0b100001 + 0o20), ord("\x08")), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(1375 - 1264) + chr(0b1000 + 0o53) + chr(49) + chr(0b1110 + 0o44), 8), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(111) + chr(393 - 344) + chr(1858 - 1806) + chr(2987 - 2932), ord("\x08")), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b10000 + 0o43) + '\x37' + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + '\x6f' + '\067' + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1877 - 1827) + '\060' + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(1905 - 1794) + chr(1754 - 1704) + chr(747 - 697) + chr(0b100110 + 0o12), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(4748 - 4637) + chr(1087 - 1035) + chr(0b110010 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(9360 - 9249) + chr(334 - 285) + chr(249 - 199) + chr(0b1011 + 0o52), ord("\x08")), nzTpIcepk0o8(chr(1784 - 1736) + chr(0b1000000 + 0o57) + chr(49) + chr(0b10101 + 0o41) + chr(55), 0o10), nzTpIcepk0o8(chr(2090 - 2042) + chr(111) + chr(0b110011) + '\061' + chr(0b101010 + 0o11), 0b1000), nzTpIcepk0o8(chr(156 - 108) + chr(111) + chr(0b101100 + 0o6) + chr(788 - 735) + chr(0b1010 + 0o51), 0b1000), nzTpIcepk0o8(chr(1177 - 1129) + chr(111) + '\x31' + chr(54) + '\x34', 37680 - 37672), nzTpIcepk0o8(chr(48) + '\x6f' + '\064' + chr(52), ord("\x08")), nzTpIcepk0o8(chr(1105 - 1057) + '\x6f' + chr(0b11110 + 0o25) + '\x34' + chr(0b110010), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32' + '\x30' + chr(49), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1480 - 1427) + '\x35', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(49) + chr(0b110011 + 0o2) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(2017 - 1969) + '\x6f' + chr(2301 - 2251) + chr(652 - 602) + chr(0b11100 + 0o33), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\064' + chr(51), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(5361 - 5250) + chr(51) + chr(0b110111) + '\065', 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(50) + chr(0b110000), 26259 - 26251), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b11 + 0o60) + chr(1506 - 1457), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\062' + '\063' + chr(54), 61973 - 61965), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b11001 + 0o31), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(11598 - 11487) + '\x32' + chr(0b11111 + 0o21), 8), nzTpIcepk0o8(chr(48) + chr(0b1100100 + 0o13) + chr(0b11111 + 0o25) + '\063', 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(0b100010 + 0o16) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(111) + chr(783 - 728) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1240 - 1189) + chr(53) + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b110100 + 0o73) + chr(0b110010) + chr(0b110110) + chr(0b11011 + 0o25), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b10111 + 0o130) + chr(0b0 + 0o63) + '\062' + chr(0b11 + 0o63), 36096 - 36088), nzTpIcepk0o8('\x30' + '\157' + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(170 - 122) + chr(0b111111 + 0o60) + '\061' + chr(0b11111 + 0o26) + chr(0b110100), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110110 + 0o1) + chr(1642 - 1592), 8), nzTpIcepk0o8(chr(1441 - 1393) + chr(0b1001011 + 0o44) + chr(0b110001) + chr(0b10001 + 0o42) + '\060', ord("\x08")), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(111) + chr(2771 - 2718) + chr(2943 - 2888), 46793 - 46785)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\157' + chr(53) + chr(48), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1100100) + '\145' + chr(0b1010 + 0o131) + chr(0b110110 + 0o71) + '\x64' + chr(4212 - 4111))(chr(5605 - 5488) + chr(0b1101100 + 0o10) + '\146' + '\x2d' + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def rvSa9wIabXV5(i6T3RZXpABN6, ZtB7KOLCW2Hk, P1yWu4gF7vxH=nzTpIcepk0o8(chr(2059 - 2011) + chr(5248 - 5137) + chr(2233 - 2184) + chr(0b1011 + 0o47), ord("\x08")), Yd7Rjip5B5Mk=roI3spqORKae(ES5oEprVxulp(b'\x98\x87\x15\xb9'), chr(1079 - 979) + '\145' + '\143' + '\x6f' + chr(5776 - 5676) + '\x65')('\165' + '\164' + '\146' + '\055' + chr(0b111000)), y1RoWUIJlYRJ=roI3spqORKae(ES5oEprVxulp(b'\xa1'), '\x64' + '\x65' + '\143' + chr(1188 - 1077) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(12372 - 12256) + '\x66' + chr(678 - 633) + chr(56)), _FgTWjKGDsIN=nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2321 - 2271), 8), EcXZXKjcp16p=None, BVDpbFyb9Kc_=nzTpIcepk0o8(chr(1811 - 1763) + '\x6f' + chr(0b110001), 0b1000), GXcYqZxGZEUW=roI3spqORKae(ES5oEprVxulp(b''), '\144' + chr(3103 - 3002) + chr(99) + chr(111) + chr(5904 - 5804) + '\145')('\x75' + chr(8353 - 8237) + chr(0b1100110) + chr(45) + chr(0b11011 + 0o35)), ZQD_k7DUYnCx=nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(4089 - 3978) + chr(0b110001), 8), h9bcHoftLpdS=roI3spqORKae(ES5oEprVxulp(b'\xb3\x87\x02'), '\x64' + chr(0b1010001 + 0o24) + chr(99) + chr(11820 - 11709) + chr(0b1100100) + chr(0b1110 + 0o127))(chr(117) + '\164' + chr(0b1100110) + '\055' + '\x38'), HFc9OjZZI4q1=roI3spqORKae(ES5oEprVxulp(b'\xa7\x8b\x1f\xa7\x06\x80'), chr(0b100100 + 0o100) + chr(101) + '\143' + '\157' + chr(0b100111 + 0o75) + chr(0b1100001 + 0o4))(chr(0b1110101) + chr(116) + '\146' + chr(1238 - 1193) + chr(1210 - 1154))):
bRKqEoZovmfD = dYZ8bkky6RkX(i6T3RZXpABN6)
if bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'\x9e\xad'), '\x64' + chr(5112 - 5011) + chr(99) + chr(0b1010000 + 0o37) + chr(100) + chr(0b1011010 + 0o13))(chr(117) + chr(116) + chr(1917 - 1815) + chr(0b100110 + 0o7) + '\x38'):
i6T3RZXpABN6 = i6T3RZXpABN6.contact
bRKqEoZovmfD = roI3spqORKae(ES5oEprVxulp(b'\x89'), chr(100) + chr(101) + '\143' + chr(111) + chr(100) + chr(101))(chr(117) + '\x74' + '\146' + chr(0b100000 + 0o15) + '\070')
if bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'\x89'), chr(0b1100100 + 0o0) + chr(0b10001 + 0o124) + chr(0b1011011 + 0o10) + chr(10992 - 10881) + chr(0b110 + 0o136) + chr(0b1100101))(chr(8091 - 7974) + chr(4957 - 4841) + chr(102) + '\055' + '\x38'):
if GXcYqZxGZEUW == roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(9680 - 9579) + '\x63' + chr(111) + chr(0b11 + 0o141) + '\145')(chr(0b1110101) + '\164' + chr(0b1010000 + 0o26) + chr(0b1110 + 0o37) + chr(0b111000)):
GXcYqZxGZEUW = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xbe\x8b\x1c\xaf\x12\x96R\xf4'), chr(2128 - 2028) + '\145' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b11101 + 0o130) + '\164' + chr(0b1100 + 0o132) + '\x2d' + '\070')]
if ZQD_k7DUYnCx == nzTpIcepk0o8(chr(48) + chr(733 - 622) + chr(0b1111 + 0o42), 8):
ZQD_k7DUYnCx = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xbe\xd2'), chr(100) + chr(0b1100011 + 0o2) + chr(99) + '\x6f' + chr(0b1010 + 0o132) + chr(1453 - 1352))(chr(0b1000100 + 0o61) + '\164' + chr(0b1100110) + '\055' + chr(0b11111 + 0o31))]
if BVDpbFyb9Kc_ == nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1927 - 1878), 8):
BVDpbFyb9Kc_ = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\x8c\x91'), '\144' + chr(10020 - 9919) + chr(99) + '\x6f' + chr(2332 - 2232) + chr(101))(chr(0b1110101) + chr(12985 - 12869) + '\146' + chr(45) + '\070')]
i6T3RZXpABN6 = dkLrNqu3wQ0d(i6T3RZXpABN6)
if GXcYqZxGZEUW != roI3spqORKae(ES5oEprVxulp(b''), '\x64' + chr(10052 - 9951) + chr(99) + chr(11629 - 11518) + chr(9024 - 8924) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1100011 + 0o3) + '\055' + chr(0b111000)):
GXcYqZxGZEUW = roI3spqORKae(ES5oEprVxulp(b'\xea\xca'), chr(100) + chr(0b1100101) + chr(99) + chr(6230 - 6119) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + '\070') + GXcYqZxGZEUW + roI3spqORKae(ES5oEprVxulp(b'\xe3'), '\x64' + chr(101) + chr(99) + chr(0b1010 + 0o145) + chr(2841 - 2741) + chr(101))('\x75' + chr(0b1110100) + chr(10336 - 10234) + chr(514 - 469) + chr(56))
if EcXZXKjcp16p is None:
EcXZXKjcp16p = [nzTpIcepk0o8(chr(48) + chr(2643 - 2532) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(577 - 529), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110000), 8)]
if not suIjIS24Zkqw(_FgTWjKGDsIN, nzTpIcepk0o8):
_FgTWjKGDsIN = nzTpIcepk0o8(_FgTWjKGDsIN)
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\x9d\x83\x03\xa4\x0e\x96\\\xba\xb0D:\x05\xaf\xce\x06S\x8b\xe5Y\x02\xb7P\x95\x7fl\xf2f0A \x1a\x8b\xde\xcc\xbfm\x18_?J\xb8\xccQ\x89\x08\x96M\xe5\xe2R<\x19\xac\x8b\x00K\xc2\xe8C\x1e\xf2D\x98b7'), chr(0b1100100) + chr(0b1100101) + chr(8752 - 8653) + chr(0b1101111) + chr(100) + '\145')(chr(117) + '\164' + chr(2572 - 2470) + '\x2d' + chr(0b1110 + 0o52)))
r7AA1pbLjb44 = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(48) + chr(10533 - 10422) + chr(48), 8), i6T3RZXpABN6.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + '\x6f' + chr(2077 - 2029), 8)] + nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(9798 - 9687) + chr(0b101000 + 0o11), 8))
x5AuUCQlRnuf = nDF4gVNx0u9Q.chmI_GMU_sEi(i6T3RZXpABN6.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x30', 8)], -nzTpIcepk0o8('\x30' + chr(9030 - 8919) + '\x31', 8), -nzTpIcepk0o8('\x30' + chr(0b111110 + 0o61) + chr(0b101010 + 0o7), 8))
if HFc9OjZZI4q1 == roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(0b111111 + 0o46) + chr(127 - 28) + chr(0b100110 + 0o111) + chr(0b1100100) + chr(9733 - 9632))(chr(0b1110101) + chr(0b1101101 + 0o7) + chr(874 - 772) + chr(297 - 252) + '\x38') or HFc9OjZZI4q1 == roI3spqORKae(ES5oEprVxulp(b'\xab\x80\x02\xa7\x06\x80'), '\x64' + chr(0b11110 + 0o107) + '\x63' + '\157' + '\x64' + chr(0b1100101))('\165' + chr(0b1011001 + 0o33) + chr(102) + chr(45) + chr(0b110110 + 0o2)) or HFc9OjZZI4q1 == roI3spqORKae(ES5oEprVxulp(b'\xa7\x83\t\xab\x05\x8b'), '\144' + chr(0b100011 + 0o102) + chr(99) + chr(0b1101111) + '\144' + '\x65')('\165' + '\x74' + '\146' + chr(0b10100 + 0o31) + chr(0b1011 + 0o55)):
HFc9OjZZI4q1 = [-nDF4gVNx0u9Q.nanmax(nDF4gVNx0u9Q.zQBGwUT7UU8L(i6T3RZXpABN6)), nDF4gVNx0u9Q.nanmax(nDF4gVNx0u9Q.zQBGwUT7UU8L(i6T3RZXpABN6))]
elif HFc9OjZZI4q1 == roI3spqORKae(ES5oEprVxulp(b'\xa7\x8b\x1f\xa7\x06\x80'), chr(0b100010 + 0o102) + '\145' + '\x63' + chr(111) + chr(0b111000 + 0o54) + '\x65')(chr(0b1011010 + 0o33) + chr(0b1110100) + chr(0b101001 + 0o75) + chr(45) + chr(56)):
HFc9OjZZI4q1 = [nDF4gVNx0u9Q.nanmin(i6T3RZXpABN6), nDF4gVNx0u9Q.nanmax(i6T3RZXpABN6)]
RxjtIqQt982H = P1yWu4gF7vxH * _FgTWjKGDsIN
R_0avuRXd80h = nDF4gVNx0u9Q.UmwwEp7MzR6q([nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + '\x32' + chr(48), ord("\x08")) * P1yWu4gF7vxH + RxjtIqQt982H * nzTpIcepk0o8(chr(48) + '\157' + '\x32', 8), nzTpIcepk0o8(i6T3RZXpABN6.lhbM092AFW8f[-nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8)] * (nzTpIcepk0o8(chr(48) + chr(6582 - 6471) + '\061' + chr(50) + chr(2147 - 2099), 8) * P1yWu4gF7vxH) + RxjtIqQt982H * nzTpIcepk0o8('\060' + '\157' + chr(0b110010), 8) - (i6T3RZXpABN6.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + chr(0b1010000 + 0o37) + '\x31', 8)] - nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31', 8)) * P1yWu4gF7vxH * nzTpIcepk0o8(chr(48) + '\x6f' + chr(1451 - 1402) + '\062' + chr(0b10110 + 0o32), 8) / nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x32', 8)), nzTpIcepk0o8('\x30' + chr(6316 - 6205) + chr(1329 - 1277), 0o10)])
for NoZxuO7wjArS in bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(460 - 412), 8), roI3spqORKae(i6T3RZXpABN6, roI3spqORKae(ES5oEprVxulp(b'\xa6\x8a\x13\x87W\xc1\t\xc1\xd6qm\x11'), chr(0b1100100) + '\x65' + chr(8437 - 8338) + '\x6f' + chr(0b1100100) + chr(7390 - 7289))(chr(0b1100000 + 0o25) + chr(116) + chr(0b1100110) + '\x2d' + '\070'))[-nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001), 8)]):
(kuTs4g4qrYHT, IguoIVbGuNOC) = Z7HGgmIyegqz.subplots(nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b11 + 0o154) + '\061', 8), facecolor=roI3spqORKae(ES5oEprVxulp(b'\xbd\x8a\x18\xbe\x02'), chr(0b10111 + 0o115) + '\x65' + chr(0b101011 + 0o70) + chr(0b1101111) + '\144' + chr(0b100101 + 0o100))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\055' + '\070'), figsize=(P1yWu4gF7vxH, P1yWu4gF7vxH), dpi=nzTpIcepk0o8(chr(1607 - 1559) + '\157' + chr(0b110001) + '\062' + chr(0b1101 + 0o43), 8))
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xba\x81\x1e\xa6\x08\x8aV\xe5\xe3N'), '\x64' + chr(0b11111 + 0o106) + chr(99) + chr(0b1101111) + chr(9372 - 9272) + chr(0b1100101))(chr(0b1110101) + chr(0b101 + 0o157) + chr(7610 - 7508) + chr(45) + chr(0b111000)))(r7AA1pbLjb44, x5AuUCQlRnuf, i6T3RZXpABN6[:, :, NoZxuO7wjArS], cmap=Yd7Rjip5B5Mk, edgecolor=y1RoWUIJlYRJ, linewidth=P1yWu4gF7vxH * nzTpIcepk0o8(chr(1991 - 1943) + chr(111) + chr(0b100101 + 0o15), 8), vmin=HFc9OjZZI4q1[nzTpIcepk0o8('\060' + chr(0b11001 + 0o126) + '\x30', 8)], vmax=HFc9OjZZI4q1[nzTpIcepk0o8(chr(856 - 808) + '\x6f' + chr(802 - 753), 8)])
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x8cR\xe3\xfbJ4\x15\xae\xc7\x07'), '\x64' + chr(0b1100101) + chr(0b101110 + 0o65) + chr(4843 - 4732) + chr(0b1010010 + 0o22) + '\145')(chr(2525 - 2408) + chr(0b101111 + 0o105) + chr(7129 - 7027) + chr(0b11011 + 0o22) + chr(0b111000)))(roI3spqORKae(ES5oEprVxulp(b''), '\144' + chr(101) + chr(99) + chr(0b101000 + 0o107) + chr(0b1100100) + chr(3810 - 3709))('\165' + chr(0b1110100) + chr(0b10100 + 0o122) + chr(0b101101) + chr(0b110111 + 0o1)))
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1e\x8cR\xe3\xfbJ4\x15\xae\xc7\x07'), '\x64' + chr(0b1100101) + '\143' + chr(111) + chr(1157 - 1057) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b101000 + 0o76) + chr(876 - 831) + chr(0b10111 + 0o41)))(roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(0b1100101) + '\x63' + chr(111) + chr(0b100101 + 0o77) + chr(9520 - 9419))(chr(2696 - 2579) + chr(0b1110 + 0o146) + '\x66' + chr(308 - 263) + '\x38'))
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x8cR\xe3\xfbU'), chr(0b1001100 + 0o30) + chr(101) + chr(0b11 + 0o140) + chr(0b1101111) + chr(100) + '\145')('\165' + chr(116) + chr(102) + '\x2d' + '\070'))([])
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1e\x8cR\xe3\xfbU'), chr(0b1100100) + '\145' + chr(99) + chr(0b110000 + 0o77) + '\x64' + chr(0b1100101))(chr(117) + chr(1847 - 1731) + chr(0b1100110) + chr(1746 - 1701) + chr(56)))([])
(oS9ptP4AxZuT, yZDwVNk0Rmbq) = IguoIVbGuNOC.get_xlim()
(_TQBZ9osXv1N, zZzCuXvNcn0e) = IguoIVbGuNOC.get_ylim()
roI3spqORKae(IguoIVbGuNOC, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x06\x8bK\xe5\xf3R'), chr(0b1100100) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(45) + '\070'))((yZDwVNk0Rmbq - oS9ptP4AxZuT) / (zZzCuXvNcn0e - _TQBZ9osXv1N))
roI3spqORKae(IguoIVbGuNOC.spines[roI3spqORKae(ES5oEprVxulp(b'\xa6\x87\x17\xbe'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(100) + chr(0b110001 + 0o64))('\165' + chr(1678 - 1562) + chr(0b110111 + 0o57) + '\055' + chr(0b10010 + 0o46))], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\145')('\x75' + chr(6121 - 6005) + chr(102) + chr(567 - 522) + chr(0b110100 + 0o4)))(nzTpIcepk0o8(chr(0b110000) + chr(0b100111 + 0o110) + chr(186 - 138), 8))
roI3spqORKae(IguoIVbGuNOC.spines[roI3spqORKae(ES5oEprVxulp(b'\xb8\x8b\x16\xa2\x13'), chr(100) + '\x65' + '\x63' + chr(8939 - 8828) + chr(100) + chr(540 - 439))('\165' + '\x74' + '\146' + chr(1024 - 979) + '\x38')], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), chr(100) + chr(101) + '\143' + '\157' + '\144' + chr(0b1100101))('\165' + chr(0b110001 + 0o103) + '\146' + '\055' + chr(196 - 140)))(nzTpIcepk0o8(chr(0b110000) + chr(10213 - 10102) + '\x30', 8))
roI3spqORKae(IguoIVbGuNOC.spines[roI3spqORKae(ES5oEprVxulp(b'\xbe\x8d\x01'), chr(0b110100 + 0o60) + chr(0b11010 + 0o113) + chr(99) + chr(0b1101111) + chr(0b1010011 + 0o21) + chr(0b1100101 + 0o0))(chr(0b1110101) + '\x74' + chr(0b100101 + 0o101) + chr(0b101101) + '\x38')], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), chr(0b1100100) + chr(0b1100101) + chr(2737 - 2638) + '\x6f' + '\x64' + chr(5358 - 5257))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\x38'))(nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(7403 - 7292) + chr(1376 - 1328), 8))
roI3spqORKae(IguoIVbGuNOC.spines[roI3spqORKae(ES5oEprVxulp(b'\xa8\x8d\x05\xbe\x08\x95'), chr(1512 - 1412) + chr(7844 - 7743) + chr(8149 - 8050) + '\x6f' + chr(9617 - 9517) + chr(5161 - 5060))(chr(0b1110101) + '\164' + '\146' + chr(146 - 101) + chr(56))], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), chr(6764 - 6664) + chr(0b111000 + 0o55) + '\x63' + chr(0b1101011 + 0o4) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(45) + '\070'))(nzTpIcepk0o8(chr(48) + chr(111) + chr(48), 8))
roI3spqORKae(Z7HGgmIyegqz, roI3spqORKae(ES5oEprVxulp(b'\xb9\x97\x13\xba\x0b\x97O\xf3\xcfG1\x1d\xbe\xd8\x00'), chr(7452 - 7352) + chr(101) + '\x63' + chr(2731 - 2620) + chr(3609 - 3509) + '\x65')('\x75' + '\x74' + chr(9155 - 9053) + chr(0b10001 + 0o34) + '\x38'))(left=nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110000), 8), bottom=nzTpIcepk0o8(chr(479 - 431) + '\x6f' + '\x30', 8), right=nzTpIcepk0o8(chr(0b110000) + chr(0b1011110 + 0o21) + chr(0b110001), 8), top=nzTpIcepk0o8('\x30' + '\x6f' + chr(1054 - 1005), 8), wspace=nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x30', 8), hspace=nzTpIcepk0o8('\x30' + '\x6f' + chr(48), 8))
roI3spqORKae(kuTs4g4qrYHT.canvas, roI3spqORKae(ES5oEprVxulp(b'\xae\x90\x10\xbd'), '\144' + '\x65' + chr(99) + chr(6493 - 6382) + '\x64' + chr(0b1100101))(chr(492 - 375) + chr(116) + chr(0b1100110) + chr(0b101100 + 0o1) + chr(1063 - 1007)))()
J13wkphVdOtX = nDF4gVNx0u9Q.fromstring(kuTs4g4qrYHT.canvas.tostring_rgb(), dtype=nDF4gVNx0u9Q.uint8, sep=roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(0b1000111 + 0o36) + chr(0b1100011) + chr(0b1100010 + 0o15) + chr(100) + '\145')('\x75' + '\x74' + '\x66' + chr(0b1001 + 0o44) + chr(0b111000)))
J13wkphVdOtX = J13wkphVdOtX.reshape(kuTs4g4qrYHT.canvas.get_width_height()[::-nzTpIcepk0o8(chr(0b110000) + chr(0b1100101 + 0o12) + chr(0b110001), 8)] + (nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(517 - 466), 8),))
roI3spqORKae(Z7HGgmIyegqz, roI3spqORKae(ES5oEprVxulp(b'\x90\x87\x00\xfd$\x9b]\xb9\xc5Bm\x1d'), chr(100) + '\x65' + '\143' + chr(0b100100 + 0o113) + '\144' + chr(4864 - 4763))('\165' + chr(9823 - 9707) + chr(0b1100110) + chr(45) + chr(1712 - 1656)))(kuTs4g4qrYHT)
ld0C6lEmKjHY = nDF4gVNx0u9Q.UmwwEp7MzR6q([J13wkphVdOtX.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(11374 - 11263) + '\x30', 8)] + RxjtIqQt982H * nzTpIcepk0o8('\060' + chr(7762 - 7651) + '\x32', 8), J13wkphVdOtX.lhbM092AFW8f[nzTpIcepk0o8('\060' + chr(0b1001 + 0o146) + chr(0b101101 + 0o4), 8)] + RxjtIqQt982H * nzTpIcepk0o8(chr(2221 - 2173) + chr(1439 - 1328) + chr(0b110001 + 0o1), 8), nzTpIcepk0o8('\x30' + chr(7982 - 7871) + '\063', 8)]) + nDF4gVNx0u9Q.Tn6rGr7XTM7t(EcXZXKjcp16p) * nzTpIcepk0o8('\060' + chr(11664 - 11553) + chr(51) + chr(724 - 669) + chr(55), 0b1000)
ld0C6lEmKjHY[RxjtIqQt982H:-RxjtIqQt982H, RxjtIqQt982H:-RxjtIqQt982H, :] = J13wkphVdOtX
(Fi3yzxctM1zW, bI5jsQ9OkQtj) = nDF4gVNx0u9Q.ogrid[-RxjtIqQt982H:RxjtIqQt982H + nzTpIcepk0o8(chr(1783 - 1735) + chr(9586 - 9475) + chr(0b1000 + 0o51), 8), -RxjtIqQt982H:RxjtIqQt982H + nzTpIcepk0o8('\060' + chr(0b1100011 + 0o14) + chr(49), 8)]
BBM8dxm7YWge = bI5jsQ9OkQtj * bI5jsQ9OkQtj + Fi3yzxctM1zW * Fi3yzxctM1zW <= RxjtIqQt982H * RxjtIqQt982H
aVpMOACDy_EP = nDF4gVNx0u9Q.vstack([[BBM8dxm7YWge[:RxjtIqQt982H, :RxjtIqQt982H] == nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8)], [BBM8dxm7YWge[:RxjtIqQt982H, :RxjtIqQt982H] == nzTpIcepk0o8(chr(1343 - 1295) + chr(0b1101111) + chr(0b110000), 8)], [BBM8dxm7YWge[:RxjtIqQt982H, :RxjtIqQt982H] == nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 8)]]).transpose([nzTpIcepk0o8(chr(0b110000) + chr(0b11010 + 0o125) + '\x31', 8), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\x6f' + chr(50), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + '\x30', 8)])
ld0C6lEmKjHY[:RxjtIqQt982H, :RxjtIqQt982H, :][aVpMOACDy_EP] = nzTpIcepk0o8(chr(1223 - 1175) + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b110010 + 0o5), 8)
aVpMOACDy_EP = nDF4gVNx0u9Q.vstack([[BBM8dxm7YWge[:RxjtIqQt982H, -RxjtIqQt982H:] == nzTpIcepk0o8(chr(0b110000) + chr(111) + '\060', 8)], [BBM8dxm7YWge[:RxjtIqQt982H, -RxjtIqQt982H:] == nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(111) + chr(0b110000), 8)], [BBM8dxm7YWge[:RxjtIqQt982H, -RxjtIqQt982H:] == nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)]]).transpose([nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(622 - 573), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(50), 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8)])
ld0C6lEmKjHY[:RxjtIqQt982H, -RxjtIqQt982H:, :][aVpMOACDy_EP] = nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b101011 + 0o14) + chr(55), 8)
aVpMOACDy_EP = nDF4gVNx0u9Q.vstack([[BBM8dxm7YWge[-RxjtIqQt982H:, :RxjtIqQt982H] == nzTpIcepk0o8('\x30' + chr(111) + '\x30', 8)], [BBM8dxm7YWge[-RxjtIqQt982H:, :RxjtIqQt982H] == nzTpIcepk0o8(chr(473 - 425) + '\x6f' + chr(0b110000), 8)], [BBM8dxm7YWge[-RxjtIqQt982H:, :RxjtIqQt982H] == nzTpIcepk0o8('\x30' + chr(0b1010 + 0o145) + '\060', 8)]]).transpose([nzTpIcepk0o8(chr(0b101 + 0o53) + chr(4693 - 4582) + '\061', 8), nzTpIcepk0o8('\060' + chr(111) + chr(0b110010), 8), nzTpIcepk0o8(chr(48) + chr(0b1110 + 0o141) + chr(113 - 65), 8)])
ld0C6lEmKjHY[-RxjtIqQt982H:, :RxjtIqQt982H, :][aVpMOACDy_EP] = nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(111) + chr(51) + '\x37' + '\x37', 8)
aVpMOACDy_EP = nDF4gVNx0u9Q.vstack([[BBM8dxm7YWge[-RxjtIqQt982H:, -RxjtIqQt982H:] == nzTpIcepk0o8(chr(1269 - 1221) + '\157' + chr(1432 - 1384), 8)], [BBM8dxm7YWge[-RxjtIqQt982H:, -RxjtIqQt982H:] == nzTpIcepk0o8(chr(0b101 + 0o53) + '\157' + '\060', 8)], [BBM8dxm7YWge[-RxjtIqQt982H:, -RxjtIqQt982H:] == nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8)]]).transpose([nzTpIcepk0o8('\060' + chr(2048 - 1937) + chr(0b110001), 8), nzTpIcepk0o8(chr(129 - 81) + '\157' + '\062', 8), nzTpIcepk0o8('\060' + '\x6f' + chr(1101 - 1053), 8)])
ld0C6lEmKjHY[-RxjtIqQt982H:, -RxjtIqQt982H:, :][aVpMOACDy_EP] = nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10100 + 0o37) + chr(0b110111) + chr(55), 8)
r4zeu1khcH7g = nDF4gVNx0u9Q.kcnyYx1RySWO([[1.5, nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110000 + 0o0), 8), nzTpIcepk0o8(chr(48) + chr(8820 - 8709) + '\x30', 8)], [nzTpIcepk0o8('\x30' + '\x6f' + '\060', 8), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(0b110011), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\060', 8)], [nzTpIcepk0o8(chr(0b110000) + chr(6006 - 5895) + chr(48), 8), nzTpIcepk0o8(chr(94 - 46) + chr(0b1101111) + chr(1202 - 1154), 8), nzTpIcepk0o8(chr(48) + chr(12293 - 12182) + chr(172 - 123), 8)]])
jydHPR4Sxae2 = nDF4gVNx0u9Q.kcnyYx1RySWO([[nzTpIcepk0o8(chr(0b11000 + 0o30) + chr(8084 - 7973) + chr(1913 - 1864), 8), nDF4gVNx0u9Q.tan(nDF4gVNx0u9Q.nMrXkRpTQ9Oo / nzTpIcepk0o8(chr(0b110000) + chr(0b1001001 + 0o46) + '\x31' + chr(0b1110 + 0o46), 24946 - 24938)), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)], [nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8), nzTpIcepk0o8(chr(48) + chr(0b1001111 + 0o40) + '\061', 8), nzTpIcepk0o8('\x30' + chr(111) + '\x30', 8)], [nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(111) + '\060', 8), nzTpIcepk0o8(chr(809 - 761) + chr(0b1101111) + '\060', 8), nzTpIcepk0o8('\x30' + chr(111) + chr(49), 8)]])
J13wkphVdOtX = hM6LYlTnu8xe.affine_transform(ld0C6lEmKjHY, jydHPR4Sxae2 * r4zeu1khcH7g, offset=[-nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b1110 + 0o46) + chr(0b110011), 8) * P1yWu4gF7vxH, nzTpIcepk0o8(chr(1966 - 1918) + '\157' + chr(0b100 + 0o54), 8), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(8886 - 8775) + chr(48), 8)], cval=nzTpIcepk0o8(chr(576 - 528) + chr(8940 - 8829) + chr(910 - 859) + chr(55) + chr(55), 8))
LfvO36Vo32Xq = nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.oclC8DLjA_lV(J13wkphVdOtX, axis=nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b10011 + 0o37), 8)) == nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(55) + chr(0b101111 + 0o10), 8) * nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\063', 8))
e_w1bPPcWUOi = nDF4gVNx0u9Q.rYPkZ8_2D0X1([J13wkphVdOtX.lhbM092AFW8f[nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(7945 - 7834) + chr(48), 8)], J13wkphVdOtX.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + '\x6f' + '\x30', 8)]])
e_w1bPPcWUOi[LfvO36Vo32Xq[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110000), 8)], LfvO36Vo32Xq[nzTpIcepk0o8('\x30' + '\157' + chr(0b110 + 0o53), 8)]] = nzTpIcepk0o8(chr(48) + chr(111) + '\060', 8)
J13wkphVdOtX = nDF4gVNx0u9Q.dstack([J13wkphVdOtX, e_w1bPPcWUOi])
if NoZxuO7wjArS == nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110000), 8):
R_0avuRXd80h[:, NoZxuO7wjArS * (nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + '\x32' + chr(1831 - 1783), 8) * P1yWu4gF7vxH):(NoZxuO7wjArS + nzTpIcepk0o8('\x30' + chr(8925 - 8814) + chr(49), 8)) * (nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + chr(2408 - 2358) + '\060', 8) * P1yWu4gF7vxH) + RxjtIqQt982H * nzTpIcepk0o8('\x30' + chr(0b11111 + 0o120) + chr(0b10011 + 0o37), 8)] = J13wkphVdOtX
else:
R_0avuRXd80h[:, NoZxuO7wjArS * (nzTpIcepk0o8(chr(48) + '\157' + '\x31' + '\x32' + chr(48), 8) * P1yWu4gF7vxH) - nzTpIcepk0o8(NoZxuO7wjArS * P1yWu4gF7vxH * nzTpIcepk0o8(chr(48) + chr(111) + chr(0b10011 + 0o36) + '\x32' + chr(0b110000), 8) / nzTpIcepk0o8(chr(0b0 + 0o60) + chr(111) + '\062', 8)):nzTpIcepk0o8((NoZxuO7wjArS + nzTpIcepk0o8('\060' + '\157' + chr(0b110001), 8)) * (nzTpIcepk0o8(chr(1678 - 1630) + chr(9869 - 9758) + '\061' + chr(0b1 + 0o61) + chr(0b100011 + 0o15), 8) * P1yWu4gF7vxH) + RxjtIqQt982H * nzTpIcepk0o8('\x30' + chr(3836 - 3725) + chr(1378 - 1328), 8) - NoZxuO7wjArS * P1yWu4gF7vxH * nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + chr(0b110010) + chr(48), 8) / nzTpIcepk0o8('\x30' + chr(5732 - 5621) + chr(0b100 + 0o56), 8))] = J13wkphVdOtX
R_0avuRXd80h[:, :, nzTpIcepk0o8(chr(48) + chr(0b100100 + 0o113) + '\x30', 8):nzTpIcepk0o8(chr(428 - 380) + chr(0b1101101 + 0o2) + chr(1023 - 972), 8)] = R_0avuRXd80h[:, :, nzTpIcepk0o8('\x30' + chr(111) + chr(0b110000), 8):nzTpIcepk0o8(chr(48) + chr(111) + '\x33', 8)] / nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(2352 - 2301) + chr(0b110111) + '\067', 8)
R_0avuRXd80h = R_0avuRXd80h[:, :-nzTpIcepk0o8(P1yWu4gF7vxH / nzTpIcepk0o8('\060' + chr(5939 - 5828) + chr(0b100101 + 0o15), 8) * nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + chr(1562 - 1513) + '\062' + '\060', 8)), :]
zyiQEwtLNIor = nDF4gVNx0u9Q.xWH4M7K6Qbd3(R_0avuRXd80h[:, :, -nzTpIcepk0o8('\060' + chr(7651 - 7540) + chr(568 - 519), 8)] > nzTpIcepk0o8(chr(48) + chr(111) + '\060', 8))
gFHQgZpwkPWg = nDF4gVNx0u9Q.argmin(zyiQEwtLNIor[nzTpIcepk0o8('\060' + chr(0b1101010 + 0o5) + chr(0b110000), 8)])
QkDkhkOaO1Wm = nDF4gVNx0u9Q.KV9ckIhroIia(zyiQEwtLNIor[nzTpIcepk0o8(chr(1851 - 1803) + chr(111) + chr(2063 - 2015), 8)])
DOAF7EKPyUtq = nDF4gVNx0u9Q.KV9ckIhroIia(nDF4gVNx0u9Q.xWH4M7K6Qbd3(R_0avuRXd80h[:, zyiQEwtLNIor[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49), 8)][gFHQgZpwkPWg], -nzTpIcepk0o8(chr(48) + chr(111) + chr(788 - 739), 8)] > nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x30', 8)))
inaf3S6k7nIe = nDF4gVNx0u9Q.xWH4M7K6Qbd3(R_0avuRXd80h[QkDkhkOaO1Wm, :, -nzTpIcepk0o8(chr(1231 - 1183) + chr(0b1101111) + chr(0b110001), 8)] > nzTpIcepk0o8('\x30' + chr(111) + chr(0b110000), 8))[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b11110 + 0o22), 8)]
inaf3S6k7nIe = nDF4gVNx0u9Q.gNQxGQmbJXBt(inaf3S6k7nIe, nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.H5XQ4iF_jpSm(inaf3S6k7nIe) == nzTpIcepk0o8(chr(1697 - 1649) + '\x6f' + chr(1051 - 1002), 8))[nzTpIcepk0o8('\060' + chr(111) + chr(0b110000), 8)] + nzTpIcepk0o8('\060' + '\157' + '\061', 8))
zyiQEwtLNIor = nDF4gVNx0u9Q.xWH4M7K6Qbd3(R_0avuRXd80h[:, :, -nzTpIcepk0o8(chr(48) + '\x6f' + '\061', 8)] > nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(0b1101111) + '\060', 8))
mCaMyVzpRrSv = nDF4gVNx0u9Q.XURpmPuEWCNF(zyiQEwtLNIor[nzTpIcepk0o8('\060' + chr(0b1100101 + 0o12) + '\060', 8)])
lr9nmPLasp8E = nDF4gVNx0u9Q.xWH4M7K6Qbd3(R_0avuRXd80h[mCaMyVzpRrSv, :, -nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o40), 8)] > nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b1101111) + chr(0b1000 + 0o50), 8))[nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\060', 8)]
lr9nmPLasp8E = lr9nmPLasp8E[nzTpIcepk0o8(chr(0b110000) + chr(0b111010 + 0o65) + '\060', 8):ftfygxgFas5X(lr9nmPLasp8E):nzTpIcepk0o8(ftfygxgFas5X(lr9nmPLasp8E) / i6T3RZXpABN6.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(11635 - 11524) + chr(0b110001), 8)])]
if h9bcHoftLpdS == roI3spqORKae(ES5oEprVxulp(b'\xb3\x87\x02'), '\144' + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100001 + 0o4))(chr(117) + chr(11769 - 11653) + chr(5469 - 5367) + '\x2d' + chr(0b1010 + 0o56)):
R_0avuRXd80h[:, :, :-nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31', 8)] = hM6LYlTnu8xe.median_filter(R_0avuRXd80h[:, :, :-nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(111) + '\061', 8)], nzTpIcepk0o8('\060' + chr(9382 - 9271) + chr(0b101001 + 0o12), 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa3\x8f\x02\xa2\x08\x8f'), '\144' + chr(4190 - 4089) + chr(0b1100011) + chr(111) + chr(3514 - 3414) + '\x65')('\x75' + '\164' + chr(1598 - 1496) + '\055' + '\x38'))(R_0avuRXd80h[:, :, :-nzTpIcepk0o8('\060' + '\157' + chr(0b110001), 8)], zorder=nzTpIcepk0o8(chr(2209 - 2161) + chr(111) + chr(49), 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xa6\x87\x17\xbe'), '\144' + chr(0b1100101) + chr(99) + chr(111) + chr(2766 - 2666) + '\145')(chr(0b1010000 + 0o45) + '\x74' + chr(102) + '\055' + '\070')], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), chr(0b11000 + 0o114) + '\145' + chr(6448 - 6349) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(0b1111 + 0o127) + chr(185 - 140) + chr(56)))(nzTpIcepk0o8('\060' + chr(0b1101111) + '\060', 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xb8\x8b\x16\xa2\x13'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b100001 + 0o103) + chr(0b1100101))(chr(0b1110 + 0o147) + '\164' + chr(8732 - 8630) + chr(379 - 334) + chr(0b11011 + 0o35))], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), '\144' + chr(101) + chr(0b110000 + 0o63) + '\x6f' + chr(0b1000 + 0o134) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(1056 - 1011) + '\070'))(nzTpIcepk0o8(chr(0b110 + 0o52) + '\157' + '\x30', 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xbe\x8d\x01'), chr(6370 - 6270) + '\x65' + '\x63' + '\157' + '\x64' + '\x65')(chr(2646 - 2529) + chr(11952 - 11836) + '\146' + chr(54 - 9) + chr(2354 - 2298))], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), '\144' + '\145' + chr(8441 - 8342) + chr(111) + '\x64' + '\x65')(chr(0b1101001 + 0o14) + '\x74' + '\x66' + '\x2d' + chr(2940 - 2884)))(nzTpIcepk0o8('\x30' + chr(0b1001100 + 0o43) + chr(48), 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xa8\x8d\x05\xbe\x08\x95'), chr(3459 - 3359) + chr(6218 - 6117) + chr(99) + chr(0b11 + 0o154) + '\x64' + chr(0b1011100 + 0o11))(chr(0b1110101) + chr(116) + '\x66' + chr(521 - 476) + chr(2514 - 2458))], roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x11\x91H\xe9\xf2J0'), chr(8570 - 8470) + '\145' + '\143' + chr(0b1101110 + 0o1) + '\x64' + '\x65')(chr(0b1000100 + 0o61) + chr(0b101111 + 0o105) + chr(0b1100110) + chr(0b101101 + 0o0) + chr(0b111000)))(nzTpIcepk0o8('\060' + '\x6f' + '\060', 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x8cR\xe3\xfbJ4\x15\xae\xc7\x07'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101100 + 0o3) + chr(100) + chr(0b1100101))(chr(4283 - 4166) + chr(116) + chr(0b1001010 + 0o34) + '\x2d' + '\x38'))(roI3spqORKae(ES5oEprVxulp(b''), '\144' + '\x65' + chr(99) + '\157' + '\x64' + chr(101))(chr(0b111010 + 0o73) + '\164' + chr(102) + chr(1977 - 1932) + chr(0b110111 + 0o1)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1e\x8cR\xe3\xfbJ4\x15\xae\xc7\x07'), chr(100) + chr(10092 - 9991) + chr(99) + chr(0b101000 + 0o107) + '\x64' + chr(0b10011 + 0o122))(chr(12472 - 12355) + chr(0b1110100) + chr(0b11111 + 0o107) + '\x2d' + '\070'))(roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(3054 - 2953) + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(1226 - 1109) + chr(116) + '\146' + chr(0b101101) + chr(3117 - 3061)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x8cR\xe3\xfbU'), chr(0b1011110 + 0o6) + chr(101) + '\x63' + chr(0b1011000 + 0o27) + chr(0b1100100) + chr(101))(chr(0b10000 + 0o145) + '\164' + chr(0b1001001 + 0o35) + '\055' + chr(56)))([])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1e\x8cR\xe3\xfbU'), chr(3737 - 3637) + '\x65' + chr(6185 - 6086) + chr(0b100101 + 0o112) + chr(0b1000001 + 0o43) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1010011 + 0o23) + chr(0b10010 + 0o33) + chr(0b101110 + 0o12)))([])
QkRI2ibxeUAu = nzTpIcepk0o8((i6T3RZXpABN6.lhbM092AFW8f[-nzTpIcepk0o8(chr(1379 - 1331) + chr(0b1101111) + '\061', 8)] - nzTpIcepk0o8(chr(48) + '\157' + '\063', 8) + nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49), 8)) * (nzTpIcepk0o8('\x30' + chr(111) + '\x31' + '\062' + chr(48), 8) * P1yWu4gF7vxH) + RxjtIqQt982H * nzTpIcepk0o8(chr(48) + '\157' + chr(0b1111 + 0o43), 8) - (i6T3RZXpABN6.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + '\157' + '\061', 8)] - nzTpIcepk0o8('\x30' + chr(4068 - 3957) + chr(208 - 157), 8)) * P1yWu4gF7vxH * nzTpIcepk0o8(chr(2164 - 2116) + chr(4408 - 4297) + '\061' + '\062' + chr(48), 8) / nzTpIcepk0o8(chr(48) + chr(2434 - 2323) + '\062', 8) - P1yWu4gF7vxH)
zIqcgNgQ9U6F = [ZtB7KOLCW2Hk.plot(bbT2xIe5pzk7(lr9nmPLasp8E[ZlbFMSG8gCoF], x2gjnXC4daVc), nDF4gVNx0u9Q.UmwwEp7MzR6q(ftfygxgFas5X(bbT2xIe5pzk7(lr9nmPLasp8E[ZlbFMSG8gCoF], x2gjnXC4daVc))) + DOAF7EKPyUtq, color=roI3spqORKae(ES5oEprVxulp(b'\xa1'), chr(3417 - 3317) + '\x65' + '\143' + chr(111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070'), linestyle=roI3spqORKae(ES5oEprVxulp(b'\xf0'), chr(100) + chr(101) + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(8365 - 8248) + '\x74' + chr(4310 - 4208) + '\x2d' + chr(0b11 + 0o65)), zorder=nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1001011 + 0o44) + chr(0b110010), 8)) for (ZlbFMSG8gCoF, x2gjnXC4daVc) in _kV_Bomx8PZ4(inaf3S6k7nIe[nzTpIcepk0o8('\x30' + chr(111) + chr(0b110001), 8):])]
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xba\x8e\x1e\xbe'), '\x64' + '\x65' + '\x63' + chr(111) + '\144' + '\145')(chr(117) + '\x74' + '\146' + '\x2d' + chr(0b100011 + 0o25)))(bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x30', 8), QkRI2ibxeUAu), roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x9f\x8f\x06\xbd"\x88\x0c\xcd\xeatc\x06'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1100011 + 0o2))(chr(0b1110011 + 0o2) + chr(116) + '\x66' + chr(0b1000 + 0o45) + '\070'))(QkRI2ibxeUAu) + QkDkhkOaO1Wm, color=roI3spqORKae(ES5oEprVxulp(b'\xa1'), chr(9675 - 9575) + chr(0b110001 + 0o64) + chr(99) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + chr(8223 - 8121) + chr(45) + chr(0b111000)), linestyle=roI3spqORKae(ES5oEprVxulp(b'\xf0'), chr(0b101101 + 0o67) + '\x65' + '\143' + chr(111) + '\144' + chr(0b1010000 + 0o25))(chr(0b1100 + 0o151) + '\x74' + chr(0b1100110) + '\055' + '\070'), zorder=nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110010), 8))
zIqcgNgQ9U6F = [ZtB7KOLCW2Hk.plot(nDF4gVNx0u9Q.UmwwEp7MzR6q(P1yWu4gF7vxH * nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(0b110010), 8)) + x2gjnXC4daVc, nDF4gVNx0u9Q.chmI_GMU_sEi(QkDkhkOaO1Wm, QkDkhkOaO1Wm + P1yWu4gF7vxH * nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(111) + chr(0b110001) + '\062', 8)), color=roI3spqORKae(ES5oEprVxulp(b'\xa1'), chr(100) + '\x65' + chr(9639 - 9540) + chr(0b1001001 + 0o46) + chr(7454 - 7354) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(45) + '\x38'), linestyle=roI3spqORKae(ES5oEprVxulp(b'\xf0'), chr(0b1100100) + chr(6448 - 6347) + '\143' + chr(5624 - 5513) + chr(100) + chr(101))(chr(0b1001110 + 0o47) + chr(116) + '\146' + chr(45) + chr(0b10000 + 0o50)), zorder=nzTpIcepk0o8(chr(2244 - 2196) + chr(0b1101101 + 0o2) + chr(50), 8)) for x2gjnXC4daVc in inaf3S6k7nIe]
zIqcgNgQ9U6F = [ZtB7KOLCW2Hk.cpStk7cY1TJd(x2gjnXC4daVc, QkDkhkOaO1Wm + P1yWu4gF7vxH * nzTpIcepk0o8(chr(674 - 626) + chr(0b1010000 + 0o37) + '\062' + chr(52), 13632 - 13624), N9zlRy29S1SS(sOS7b2Ofrbne((ZlbFMSG8gCoF + ZQD_k7DUYnCx) * BVDpbFyb9Kc_, nzTpIcepk0o8('\x30' + chr(111) + chr(0b110100 + 0o1), 0b1000))), horizontalalignment=roI3spqORKae(ES5oEprVxulp(b'\xa9\x87\x1f\xbe\x02\x8a'), chr(6378 - 6278) + '\145' + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(1881 - 1825))) for (ZlbFMSG8gCoF, x2gjnXC4daVc) in _kV_Bomx8PZ4(inaf3S6k7nIe)]
cP7gPxzM_yKK = ZtB7KOLCW2Hk.axes.get_ylim()
_vVNM0xXb3x0 = ZtB7KOLCW2Hk.axes.get_xlim()
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1e\x94R\xed'), '\144' + chr(0b1100101) + chr(8195 - 8096) + '\157' + chr(0b110010 + 0o62) + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(0b10011 + 0o32) + chr(0b111000)))(cP7gPxzM_yKK[nzTpIcepk0o8(chr(48) + chr(0b1011000 + 0o27) + chr(1486 - 1438), 8)] + P1yWu4gF7vxH * nzTpIcepk0o8(chr(97 - 49) + chr(2468 - 2357) + chr(0b100011 + 0o16) + chr(1054 - 999), 0b1000), nzTpIcepk0o8(chr(48) + chr(4857 - 4746) + '\x30', 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x94R\xed'), chr(0b1100100) + '\x65' + chr(0b1011101 + 0o6) + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(6205 - 6103) + chr(0b101101) + chr(0b101111 + 0o11)))(_vVNM0xXb3x0[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b101110 + 0o2), 8)] - P1yWu4gF7vxH * nzTpIcepk0o8('\060' + chr(6726 - 6615) + '\x32' + chr(52), 8), _vVNM0xXb3x0[nzTpIcepk0o8(chr(0b101 + 0o53) + '\x6f' + chr(49), 8)])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xb9\x87\x05\x95\x1f\x94Z\xe2\xf5J'), chr(3763 - 3663) + '\145' + chr(99) + '\157' + chr(100) + '\145')('\x75' + chr(0b110 + 0o156) + '\x66' + '\055' + chr(0b101100 + 0o14)))(roI3spqORKae(ES5oEprVxulp(b'\x9e\x8b\x1c\xaf'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1000 + 0o134) + '\x65')(chr(11814 - 11697) + chr(116) + chr(3443 - 3341) + chr(0b101101) + chr(0b111000)) + GXcYqZxGZEUW)
return ZtB7KOLCW2Hk |
wiheto/teneto | teneto/communitydetection/tctc.py | partition_inference | def partition_inference(tctc_mat, comp, tau, sigma, kappa):
r"""
Takes tctc trajectory matrix and returns dataframe where all multi-label communities are listed
Can take a little bit of time with large datasets and optimizaiton could remove some for loops.
"""
communityinfo = {}
communityinfo['community'] = []
communityinfo['start'] = np.empty(0)
communityinfo['end'] = np.empty(0)
communityinfo['size'] = np.empty(0)
for i, tcomp in enumerate(comp):
# This can go in parallel loop
if len(tcomp) > 0:
for traj in tcomp:
# Check it does not already exist.
ignore = 0
preexisting = 0
if i != 0:
cutoff = i-1-kappa
if cutoff < 0:
cutoff = 0
if np.any(np.sum(np.sum(tctc_mat[traj, :, cutoff:i][:, traj], axis=0), axis=0) == np.power(len(traj), 2)):
# Make sure that a small trajectory could exist
for checknode in np.where(communityinfo['end']>=cutoff)[0]:
if traj == communityinfo['community'][checknode]:
ignore = 1
if ignore == 0:
for checknode in np.where(communityinfo['end']>=cutoff)[0]:
if set(communityinfo['community'][checknode]).issuperset(traj):
preexisting = 1
if ignore == 0:
# Check how long it continues
# For efficiency, increase in blocks
approxmaxlength = tau*2
a = np.sum(
np.sum(tctc_mat[traj, :, i:i+approxmaxlength][:, traj], axis=0), axis=0)
if len(traj)*len(traj)*approxmaxlength == a.sum():
ok = 0
ii = 1
while ok == 0:
b = np.sum(np.sum(
tctc_mat[traj, :, i+(approxmaxlength*ii):i+(approxmaxlength*(ii+1))][:, traj], axis=0), axis=0)
a = np.append(a, b)
if len(traj)*len(traj)*approxmaxlength != b.sum():
ok = 1
if i+(approxmaxlength*(ii+1)) > tctc_mat.shape[-1]:
ok = 1
ii += 1
a = np.where(a == np.power(len(traj), 2))[0]
# Add an additional value that is false in case end of time series
if len(a) == 1:
stopind = i + 1
else:
a = np.append(a, a.max()+kappa+2)
# Find the stop index (if stopind = 4 and start = 0, then tctc_mat[:,:,start:stopind]==1)
stopind = i + np.split(a, np.where(
np.diff(a) > kappa+1)[0]+1)[0][-1] + 1
# Add trajectory to dictionary
if ((stopind - i) >= tau or preexisting == 1) and len(traj) >= sigma:
communityinfo['community'].append(sorted(traj))
communityinfo['start'] = np.append(communityinfo['start'], int(i))
communityinfo['end'] = np.append(
communityinfo['end'], int(stopind))
communityinfo['size'] = np.append(communityinfo['size'], len(traj))
communityinfo = pd.DataFrame(communityinfo)
communityinfo['start'] = communityinfo['start'].astype(int)
communityinfo['end'] = communityinfo['end'].astype(int)
# First check that there is not already a trajectory that is ongoing
badrows = []
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] == v[1]['end'])
for u in communityinfo[skipselrule].iterrows():
a = 1
if u[1]['start'] > v[1]['start'] and sorted(u[1]['community']) == sorted(v[1]['community']):
badrows.append(u[0])
communityinfo = communityinfo.drop(badrows)
# Then see if any subset trajectory can be placed earlier in time.
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] <= v[1]['start']) & (
communityinfo['end']+kappa >= v[1]['start'])
for u in communityinfo[skipselrule].iterrows():
a = 1
if set(u[1]['community']).issuperset(v[1]['community']):
communityinfo.loc[v[0], 'start'] = u[1]['start']
# It is possible to make the condition below effective_length
communityinfo['length'] = np.array(communityinfo['end']) - np.array(communityinfo['start'])
communityinfo = communityinfo[communityinfo['length'] >= tau]
communityinfo = communityinfo[communityinfo['size'] >= sigma]
# Make sure that the traj is not completely enguled by another
badrows = []
if kappa > 0:
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] == v[1]['end']) & (
communityinfo['start'] < v[1]['start'])
for u in communityinfo[skipselrule].iterrows():
if set(v[1]['community']).issubset(u[1]['community']):
badrows.append(v[0])
communityinfo = communityinfo.drop(badrows)
return communityinfo | python | def partition_inference(tctc_mat, comp, tau, sigma, kappa):
r"""
Takes tctc trajectory matrix and returns dataframe where all multi-label communities are listed
Can take a little bit of time with large datasets and optimizaiton could remove some for loops.
"""
communityinfo = {}
communityinfo['community'] = []
communityinfo['start'] = np.empty(0)
communityinfo['end'] = np.empty(0)
communityinfo['size'] = np.empty(0)
for i, tcomp in enumerate(comp):
# This can go in parallel loop
if len(tcomp) > 0:
for traj in tcomp:
# Check it does not already exist.
ignore = 0
preexisting = 0
if i != 0:
cutoff = i-1-kappa
if cutoff < 0:
cutoff = 0
if np.any(np.sum(np.sum(tctc_mat[traj, :, cutoff:i][:, traj], axis=0), axis=0) == np.power(len(traj), 2)):
# Make sure that a small trajectory could exist
for checknode in np.where(communityinfo['end']>=cutoff)[0]:
if traj == communityinfo['community'][checknode]:
ignore = 1
if ignore == 0:
for checknode in np.where(communityinfo['end']>=cutoff)[0]:
if set(communityinfo['community'][checknode]).issuperset(traj):
preexisting = 1
if ignore == 0:
# Check how long it continues
# For efficiency, increase in blocks
approxmaxlength = tau*2
a = np.sum(
np.sum(tctc_mat[traj, :, i:i+approxmaxlength][:, traj], axis=0), axis=0)
if len(traj)*len(traj)*approxmaxlength == a.sum():
ok = 0
ii = 1
while ok == 0:
b = np.sum(np.sum(
tctc_mat[traj, :, i+(approxmaxlength*ii):i+(approxmaxlength*(ii+1))][:, traj], axis=0), axis=0)
a = np.append(a, b)
if len(traj)*len(traj)*approxmaxlength != b.sum():
ok = 1
if i+(approxmaxlength*(ii+1)) > tctc_mat.shape[-1]:
ok = 1
ii += 1
a = np.where(a == np.power(len(traj), 2))[0]
# Add an additional value that is false in case end of time series
if len(a) == 1:
stopind = i + 1
else:
a = np.append(a, a.max()+kappa+2)
# Find the stop index (if stopind = 4 and start = 0, then tctc_mat[:,:,start:stopind]==1)
stopind = i + np.split(a, np.where(
np.diff(a) > kappa+1)[0]+1)[0][-1] + 1
# Add trajectory to dictionary
if ((stopind - i) >= tau or preexisting == 1) and len(traj) >= sigma:
communityinfo['community'].append(sorted(traj))
communityinfo['start'] = np.append(communityinfo['start'], int(i))
communityinfo['end'] = np.append(
communityinfo['end'], int(stopind))
communityinfo['size'] = np.append(communityinfo['size'], len(traj))
communityinfo = pd.DataFrame(communityinfo)
communityinfo['start'] = communityinfo['start'].astype(int)
communityinfo['end'] = communityinfo['end'].astype(int)
# First check that there is not already a trajectory that is ongoing
badrows = []
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] == v[1]['end'])
for u in communityinfo[skipselrule].iterrows():
a = 1
if u[1]['start'] > v[1]['start'] and sorted(u[1]['community']) == sorted(v[1]['community']):
badrows.append(u[0])
communityinfo = communityinfo.drop(badrows)
# Then see if any subset trajectory can be placed earlier in time.
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] <= v[1]['start']) & (
communityinfo['end']+kappa >= v[1]['start'])
for u in communityinfo[skipselrule].iterrows():
a = 1
if set(u[1]['community']).issuperset(v[1]['community']):
communityinfo.loc[v[0], 'start'] = u[1]['start']
# It is possible to make the condition below effective_length
communityinfo['length'] = np.array(communityinfo['end']) - np.array(communityinfo['start'])
communityinfo = communityinfo[communityinfo['length'] >= tau]
communityinfo = communityinfo[communityinfo['size'] >= sigma]
# Make sure that the traj is not completely enguled by another
badrows = []
if kappa > 0:
for v in communityinfo.iterrows():
skipselrule = (communityinfo['end'] == v[1]['end']) & (
communityinfo['start'] < v[1]['start'])
for u in communityinfo[skipselrule].iterrows():
if set(v[1]['community']).issubset(u[1]['community']):
badrows.append(v[0])
communityinfo = communityinfo.drop(badrows)
return communityinfo | [
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... | r"""
Takes tctc trajectory matrix and returns dataframe where all multi-label communities are listed
Can take a little bit of time with large datasets and optimizaiton could remove some for loops. | [
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"are",
"listed"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/communitydetection/tctc.py#L8-L114 | train | r This function takes a tctc trajectory matrix and returns dataframe where all multi - label communities are listed. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1100001 + 0o16) + chr(50) + chr(0b11000 + 0o37) + chr(53), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x35' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(4842 - 4731) + chr(0b110011) + chr(50) + chr(1898 - 1847), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b100 + 0o57) + '\x36', 18034 - 18026), nzTpIcepk0o8('\060' + '\x6f' + chr(50), 0b1000), nzTpIcepk0o8(chr(88 - 40) + chr(0b1101111) + chr(966 - 913) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110011) + chr(669 - 616), 0o10), nzTpIcepk0o8(chr(48) + chr(5611 - 5500) + '\061' + chr(55) + chr(1179 - 1127), 56477 - 56469), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(54) + '\x32', 0o10), nzTpIcepk0o8(chr(48) + chr(0b10100 + 0o133) + chr(50) + chr(281 - 233) + chr(0b110100), 4520 - 4512), nzTpIcepk0o8(chr(288 - 240) + chr(6131 - 6020) + '\x33' + '\x33', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + '\x34' + '\064', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(50) + chr(615 - 566) + '\062', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110111) + chr(48), 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b1001100 + 0o43) + chr(51) + chr(51) + chr(0b110101 + 0o1), 4260 - 4252), nzTpIcepk0o8(chr(0b10111 + 0o31) + '\x6f' + chr(1400 - 1351) + chr(0b10110 + 0o34) + '\x30', 0o10), nzTpIcepk0o8(chr(48) + chr(0b111 + 0o150) + chr(2199 - 2144) + chr(0b10010 + 0o41), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(50) + chr(0b10010 + 0o41), 62557 - 62549), nzTpIcepk0o8('\060' + chr(7420 - 7309) + chr(0b100000 + 0o23) + chr(0b110110) + '\x37', 0o10), nzTpIcepk0o8('\060' + chr(4241 - 4130) + chr(51) + '\060' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(1660 - 1612) + chr(0b1101111) + '\x33' + '\060' + chr(55), 53811 - 53803), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + chr(0b1100 + 0o44) + chr(55), 8), nzTpIcepk0o8('\x30' + '\157' + chr(711 - 660) + chr(0b110100 + 0o0) + chr(0b110001), 26727 - 26719), nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(0b1101111) + chr(1554 - 1503) + '\x30' + '\x33', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(1216 - 1164) + chr(0b10011 + 0o41), 0b1000), nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(111) + chr(0b110011) + chr(0b111 + 0o56) + chr(0b110100 + 0o2), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\063' + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + '\061' + chr(836 - 788) + chr(53), 0o10), nzTpIcepk0o8(chr(1759 - 1711) + '\x6f' + chr(0b1111 + 0o42) + chr(0b110011) + '\066', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1001011 + 0o44) + chr(329 - 278) + '\x31' + chr(811 - 761), ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b1000000 + 0o57) + chr(0b110011) + chr(0b110100) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + '\x33' + '\060', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(0b110001) + chr(48), 0o10), nzTpIcepk0o8(chr(1994 - 1946) + '\x6f' + '\063' + '\063' + chr(50), 37566 - 37558), nzTpIcepk0o8(chr(0b110000) + chr(0b1000111 + 0o50) + chr(1038 - 987) + chr(0b1 + 0o66) + chr(150 - 102), 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x32' + chr(1464 - 1413) + '\x31', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + chr(48) + chr(2333 - 2279), ord("\x08")), nzTpIcepk0o8(chr(69 - 21) + chr(0b1101111) + chr(0b10000 + 0o43) + chr(53) + chr(51), 53517 - 53509)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110101) + chr(1263 - 1215), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x93'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))('\165' + '\x74' + chr(4303 - 4201) + '\x2d' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def hrcMvZ0lS_zD(fqIduMb3Vdpe, B881keGOXOsp, OzjfUPwYt9n6, uc4gGmjAvJP3, LpU5RQpmJtzj):
L_jdjp26dtJx = {}
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(0b0 + 0o144) + chr(140 - 39) + '\143' + chr(111) + chr(0b1000100 + 0o40) + chr(0b1000 + 0o135))(chr(0b1110101) + '\164' + '\146' + '\x2d' + chr(2454 - 2398))] = []
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(0b101111 + 0o65) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\x65')(chr(0b1001 + 0o154) + '\164' + '\x66' + chr(932 - 887) + chr(0b111000))] = nDF4gVNx0u9Q.EEl0Pry8vzTp(nzTpIcepk0o8('\060' + chr(0b110101 + 0o72) + chr(0b110000), 8))
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(100) + '\145' + chr(99) + '\x6f' + '\x64' + '\145')('\x75' + '\164' + chr(3416 - 3314) + chr(0b100011 + 0o12) + chr(384 - 328))] = nDF4gVNx0u9Q.EEl0Pry8vzTp(nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110000), 8))
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xceC\xa9{'), '\144' + chr(0b110 + 0o137) + chr(99) + '\157' + chr(0b1100100) + chr(0b110111 + 0o56))(chr(0b1110101) + '\164' + '\x66' + chr(0b11000 + 0o25) + '\070')] = nDF4gVNx0u9Q.EEl0Pry8vzTp(nzTpIcepk0o8(chr(660 - 612) + chr(0b1101111) + '\x30', 8))
for (ZlbFMSG8gCoF, FBmGF1X_jcbr) in _kV_Bomx8PZ4(B881keGOXOsp):
if ftfygxgFas5X(FBmGF1X_jcbr) > nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8):
for K2_k76fE7zBl in FBmGF1X_jcbr:
NTpppS5XYPvK = nzTpIcepk0o8('\060' + '\x6f' + chr(0b110 + 0o52), 8)
K6C3xbAbEP0D = nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\060', 8)
if ZlbFMSG8gCoF != nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110000), 8):
y_m39_E8rwSf = ZlbFMSG8gCoF - nzTpIcepk0o8('\060' + chr(111) + chr(0b110001), 881 - 873) - LpU5RQpmJtzj
if y_m39_E8rwSf < nzTpIcepk0o8(chr(0b101 + 0o53) + chr(0b101110 + 0o101) + chr(0b110000), 8):
y_m39_E8rwSf = nzTpIcepk0o8(chr(623 - 575) + chr(0b1000101 + 0o52) + chr(0b11011 + 0o25), 8)
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xebl\xe7nIgO?\x08\xde\xd4x'), chr(0b11101 + 0o107) + chr(0b1100 + 0o131) + '\x63' + chr(7100 - 6989) + chr(100) + '\145')(chr(904 - 787) + '\x74' + chr(2451 - 2349) + chr(0b101101) + '\070'))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xd2I\xbf]:lL7=\xed\xe8M'), '\x64' + chr(0b110111 + 0o56) + '\x63' + chr(2524 - 2413) + chr(892 - 792) + chr(327 - 226))(chr(0b1110101) + chr(0b1010101 + 0o37) + '\x66' + chr(0b101101) + chr(2577 - 2521)))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xd2I\xbf]:lL7=\xed\xe8M'), chr(100) + chr(0b1100101) + chr(0b10010 + 0o121) + chr(111) + '\144' + chr(7430 - 7329))(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(0b11101 + 0o33)))(fqIduMb3Vdpe[K2_k76fE7zBl, :, y_m39_E8rwSf:ZlbFMSG8gCoF][:, K2_k76fE7zBl], axis=nzTpIcepk0o8(chr(48) + '\157' + chr(48), 8)), axis=nzTpIcepk0o8('\060' + '\x6f' + '\060', 8)) == roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xcdE\xa4{p'), chr(0b1010001 + 0o23) + chr(101) + '\143' + '\x6f' + chr(8250 - 8150) + chr(101))('\165' + '\x74' + '\x66' + '\055' + chr(0b111000)))(ftfygxgFas5X(K2_k76fE7zBl), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32', 8))):
for HXS494ddzi3Z in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xc5}\x9b*O\x1fKk-\xd0\xe0('), '\x64' + '\145' + chr(2806 - 2707) + '\157' + chr(100) + '\x65')(chr(0b1101100 + 0o11) + chr(6953 - 6837) + chr(0b100110 + 0o100) + chr(45) + chr(3110 - 3054)))(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(0b1100100) + '\x65' + chr(0b1100000 + 0o3) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(6740 - 6638) + chr(0b100000 + 0o15) + '\070')] >= y_m39_E8rwSf)[nzTpIcepk0o8(chr(305 - 257) + chr(111) + chr(316 - 268), 8)]:
if K2_k76fE7zBl == L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(7392 - 7292) + chr(3624 - 3523) + chr(0b1100011) + chr(0b1101111) + chr(0b100001 + 0o103) + chr(0b1010 + 0o133))(chr(207 - 90) + chr(4987 - 4871) + chr(6112 - 6010) + chr(0b101101) + '\070')][HXS494ddzi3Z]:
NTpppS5XYPvK = nzTpIcepk0o8(chr(0b110000) + chr(2192 - 2081) + chr(257 - 208), 8)
if NTpppS5XYPvK == nzTpIcepk0o8(chr(0b1101 + 0o43) + '\x6f' + '\x30', 8):
for HXS494ddzi3Z in roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xc5}\x9b*O\x1fKk-\xd0\xe0('), '\x64' + '\145' + chr(8933 - 8834) + chr(0b1100000 + 0o17) + chr(7977 - 7877) + '\x65')('\165' + '\164' + chr(0b1000011 + 0o43) + chr(45) + chr(0b10000 + 0o50)))(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), '\144' + chr(101) + chr(3678 - 3579) + '\x6f' + chr(0b1110 + 0o126) + chr(0b1100101))('\x75' + '\x74' + '\146' + '\x2d' + '\x38')] >= y_m39_E8rwSf)[nzTpIcepk0o8(chr(48) + chr(0b10011 + 0o134) + '\x30', 8)]:
if roI3spqORKae(Bvi71nNyvlqO(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(0b101 + 0o137) + chr(0b11011 + 0o112) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b11001 + 0o134) + chr(116) + '\x66' + '\055' + '\x38')][HXS494ddzi3Z]), roI3spqORKae(ES5oEprVxulp(b'\xd4Y\xa0krMr.\x19\xc6'), chr(9168 - 9068) + '\x65' + '\x63' + chr(1193 - 1082) + chr(470 - 370) + chr(101))(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b111000)))(K2_k76fE7zBl):
K6C3xbAbEP0D = nzTpIcepk0o8(chr(1560 - 1512) + chr(11166 - 11055) + chr(1852 - 1803), 8)
if NTpppS5XYPvK == nzTpIcepk0o8('\060' + chr(0b1101111) + chr(48), 8):
LYRMhD4hYAiP = OzjfUPwYt9n6 * nzTpIcepk0o8(chr(0b101000 + 0o10) + '\x6f' + chr(0b110010), 8)
AQ9ceR9AaoT1 = nDF4gVNx0u9Q.oclC8DLjA_lV(nDF4gVNx0u9Q.oclC8DLjA_lV(fqIduMb3Vdpe[K2_k76fE7zBl, :, ZlbFMSG8gCoF:ZlbFMSG8gCoF + LYRMhD4hYAiP][:, K2_k76fE7zBl], axis=nzTpIcepk0o8(chr(482 - 434) + '\157' + chr(758 - 710), 8)), axis=nzTpIcepk0o8(chr(176 - 128) + '\157' + chr(48), 8))
if ftfygxgFas5X(K2_k76fE7zBl) * ftfygxgFas5X(K2_k76fE7zBl) * LYRMhD4hYAiP == roI3spqORKae(AQ9ceR9AaoT1, roI3spqORKae(ES5oEprVxulp(b'\xd2I\xbf]:lL7=\xed\xe8M'), chr(0b11111 + 0o105) + '\145' + chr(0b1100011) + chr(111) + chr(3162 - 3062) + '\145')('\x75' + chr(116) + chr(1541 - 1439) + '\055' + '\x38'))():
arcyz8y9ckuT = nzTpIcepk0o8('\x30' + chr(111) + '\x30', 8)
p8Ou2emaDF7Z = nzTpIcepk0o8(chr(268 - 220) + '\157' + chr(0b110001), 8)
while arcyz8y9ckuT == nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b111 + 0o51), 8):
xFDEVQn5qSdh = nDF4gVNx0u9Q.oclC8DLjA_lV(nDF4gVNx0u9Q.oclC8DLjA_lV(fqIduMb3Vdpe[K2_k76fE7zBl, :, ZlbFMSG8gCoF + LYRMhD4hYAiP * p8Ou2emaDF7Z:ZlbFMSG8gCoF + LYRMhD4hYAiP * (p8Ou2emaDF7Z + nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49), 8))][:, K2_k76fE7zBl], axis=nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(48), 8)), axis=nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101110 + 0o2), 8))
AQ9ceR9AaoT1 = nDF4gVNx0u9Q.HTS4xgGojoU5(AQ9ceR9AaoT1, xFDEVQn5qSdh)
if ftfygxgFas5X(K2_k76fE7zBl) * ftfygxgFas5X(K2_k76fE7zBl) * LYRMhD4hYAiP != roI3spqORKae(xFDEVQn5qSdh, roI3spqORKae(ES5oEprVxulp(b'\xd2I\xbf]:lL7=\xed\xe8M'), '\x64' + chr(101) + '\143' + '\157' + chr(0b1100100) + chr(0b11101 + 0o110))(chr(1315 - 1198) + '\164' + '\x66' + '\x2d' + chr(0b101110 + 0o12)))():
arcyz8y9ckuT = nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(0b1101111) + '\061', 8)
if ZlbFMSG8gCoF + LYRMhD4hYAiP * (p8Ou2emaDF7Z + nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001), 8)) > roI3spqORKae(fqIduMb3Vdpe, roI3spqORKae(ES5oEprVxulp(b'\xd1B\xb1S2\x112\x1c:\xe5\xbc}'), chr(100) + '\145' + '\143' + chr(111) + '\144' + chr(101))(chr(117) + chr(0b110111 + 0o75) + chr(2238 - 2136) + '\055' + '\070'))[-nzTpIcepk0o8('\060' + chr(0b1011 + 0o144) + chr(0b11001 + 0o30), 8)]:
arcyz8y9ckuT = nzTpIcepk0o8('\x30' + chr(0b111110 + 0o61) + '\x31', 8)
p8Ou2emaDF7Z += nzTpIcepk0o8(chr(794 - 746) + chr(9257 - 9146) + chr(0b110001), 8)
AQ9ceR9AaoT1 = nDF4gVNx0u9Q.xWH4M7K6Qbd3(AQ9ceR9AaoT1 == nDF4gVNx0u9Q.power(ftfygxgFas5X(K2_k76fE7zBl), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(111) + chr(50), 8)))[nzTpIcepk0o8(chr(0b0 + 0o60) + '\x6f' + chr(1014 - 966), 8)]
if ftfygxgFas5X(AQ9ceR9AaoT1) == nzTpIcepk0o8(chr(48) + '\157' + chr(49), 8):
CxOMcatS85Ab = ZlbFMSG8gCoF + nzTpIcepk0o8(chr(758 - 710) + chr(0b1101111) + chr(49), 8)
else:
AQ9ceR9AaoT1 = nDF4gVNx0u9Q.HTS4xgGojoU5(AQ9ceR9AaoT1, AQ9ceR9AaoT1.KV9ckIhroIia() + LpU5RQpmJtzj + nzTpIcepk0o8(chr(0b1 + 0o57) + chr(6364 - 6253) + chr(225 - 175), 8))
CxOMcatS85Ab = ZlbFMSG8gCoF + nDF4gVNx0u9Q.LfRrQOxuDvnC(AQ9ceR9AaoT1, nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.H5XQ4iF_jpSm(AQ9ceR9AaoT1) > LpU5RQpmJtzj + nzTpIcepk0o8(chr(1543 - 1495) + chr(6514 - 6403) + chr(0b110001), 8))[nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b1101111) + chr(48), 8)] + nzTpIcepk0o8('\x30' + chr(9581 - 9470) + chr(49), 8))[nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\060', 8)][-nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001), 8)] + nzTpIcepk0o8(chr(48) + chr(856 - 745) + chr(0b110001), 8)
if (CxOMcatS85Ab - ZlbFMSG8gCoF >= OzjfUPwYt9n6 or K6C3xbAbEP0D == nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110001), 8)) and ftfygxgFas5X(K2_k76fE7zBl) >= uc4gGmjAvJP3:
roI3spqORKae(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(0b110100 + 0o60) + chr(101) + chr(9617 - 9518) + chr(111) + chr(0b101111 + 0o65) + chr(101))(chr(10903 - 10786) + '\x74' + '\x66' + chr(0b101101) + '\x38')], roI3spqORKae(ES5oEprVxulp(b'\xf5~\x80*zOG2\x16\xdd\xd1.'), '\x64' + '\145' + '\x63' + '\x6f' + chr(7209 - 7109) + chr(512 - 411))('\x75' + chr(0b1100011 + 0o21) + '\146' + chr(0b101101) + '\070'))(V3OlOVg98A85(K2_k76fE7zBl))
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(0b1100100) + chr(6971 - 6870) + '\143' + '\x6f' + chr(0b10001 + 0o123) + chr(0b1100101))(chr(6507 - 6390) + chr(889 - 773) + chr(0b1000000 + 0o46) + chr(293 - 248) + chr(0b111000))] = nDF4gVNx0u9Q.HTS4xgGojoU5(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\144' + chr(2275 - 2174) + '\143' + '\x6f' + chr(0b1100100) + '\145')('\x75' + chr(4001 - 3885) + chr(7503 - 7401) + '\055' + chr(0b111000))], nzTpIcepk0o8(ZlbFMSG8gCoF))
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(0b1011011 + 0o11) + chr(101) + chr(7980 - 7881) + chr(111) + '\144' + chr(101))(chr(0b1110101) + chr(0b1010010 + 0o42) + '\x66' + chr(0b101010 + 0o3) + chr(0b111000))] = nDF4gVNx0u9Q.HTS4xgGojoU5(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(0b1100100) + '\x65' + chr(5342 - 5243) + chr(111) + chr(0b110000 + 0o64) + '\145')('\165' + '\x74' + '\146' + chr(0b100000 + 0o15) + chr(2805 - 2749))], nzTpIcepk0o8(CxOMcatS85Ab))
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xceC\xa9{'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1011010 + 0o12) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(2500 - 2398) + '\055' + '\x38')] = nDF4gVNx0u9Q.HTS4xgGojoU5(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xceC\xa9{'), chr(0b1100100) + chr(101) + '\143' + chr(111) + '\144' + '\145')(chr(0b1110101) + chr(2346 - 2230) + '\146' + chr(0b101101) + chr(1328 - 1272))], ftfygxgFas5X(K2_k76fE7zBl))
L_jdjp26dtJx = HLKt4sa1j9hm.DataFrame(L_jdjp26dtJx)
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(100) + chr(101) + chr(9204 - 9105) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(413 - 368) + chr(0b111000 + 0o0))] = L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\x64' + chr(101) + chr(7297 - 7198) + chr(0b110100 + 0o73) + '\144' + '\145')('\165' + '\x74' + chr(0b10010 + 0o124) + '\x2d' + chr(0b111000))].astype(nzTpIcepk0o8)
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(0b1011000 + 0o14) + chr(101) + chr(0b1100011) + chr(4431 - 4320) + chr(0b1100100) + chr(0b10101 + 0o120))(chr(8342 - 8225) + chr(0b110101 + 0o77) + chr(5387 - 5285) + '\055' + chr(0b1010 + 0o56))] = L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(7697 - 7597) + chr(0b10100 + 0o121) + chr(99) + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(116) + chr(7850 - 7748) + '\055' + '\x38')].astype(nzTpIcepk0o8)
PzBPr6VGVsGE = []
for r7AA1pbLjb44 in roI3spqORKae(L_jdjp26dtJx, roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), chr(642 - 542) + chr(0b1100101) + chr(99) + chr(0b1010011 + 0o34) + chr(0b1100100) + '\145')('\165' + chr(116) + '\x66' + chr(0b11101 + 0o20) + chr(0b101101 + 0o13)))():
MpTx1mcEK_J0 = L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), '\x64' + '\x65' + '\143' + chr(0b1011 + 0o144) + chr(5304 - 5204) + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(56))] == r7AA1pbLjb44[nzTpIcepk0o8(chr(48) + chr(2052 - 1941) + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(5409 - 5309) + chr(101))(chr(117) + '\x74' + '\x66' + chr(1475 - 1430) + chr(56))]
for GRbsaHW8BT5I in roI3spqORKae(L_jdjp26dtJx[MpTx1mcEK_J0], roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), chr(100) + '\145' + chr(5807 - 5708) + chr(111) + '\144' + chr(0b101 + 0o140))('\x75' + chr(11238 - 11122) + chr(10337 - 10235) + chr(45) + chr(2751 - 2695)))():
AQ9ceR9AaoT1 = nzTpIcepk0o8('\x30' + chr(0b11101 + 0o122) + '\061', 8)
if GRbsaHW8BT5I[nzTpIcepk0o8(chr(0b1100 + 0o44) + '\x6f' + '\x31', 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(2530 - 2430) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b101011 + 0o72))('\x75' + chr(0b11010 + 0o132) + chr(102) + '\x2d' + chr(0b111000))] > r7AA1pbLjb44[nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\144' + chr(0b1011001 + 0o14) + chr(2485 - 2386) + '\x6f' + chr(0b1100100) + chr(0b1000001 + 0o44))(chr(9821 - 9704) + '\x74' + '\x66' + chr(0b0 + 0o55) + chr(0b1 + 0o67))] and V3OlOVg98A85(GRbsaHW8BT5I[nzTpIcepk0o8(chr(0b101101 + 0o3) + '\157' + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))('\165' + '\164' + chr(0b1100110) + chr(0b101101) + '\x38')]) == V3OlOVg98A85(r7AA1pbLjb44[nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31', 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), '\x64' + chr(9166 - 9065) + chr(5753 - 5654) + chr(0b1100101 + 0o12) + chr(0b1100100) + chr(1595 - 1494))(chr(117) + '\x74' + chr(0b100011 + 0o103) + chr(856 - 811) + chr(2241 - 2185))]):
roI3spqORKae(PzBPr6VGVsGE, roI3spqORKae(ES5oEprVxulp(b'\xf5~\x80*zOG2\x16\xdd\xd1.'), chr(9448 - 9348) + chr(101) + chr(99) + '\x6f' + '\144' + '\145')('\165' + '\164' + '\146' + chr(45) + chr(0b111000)))(GRbsaHW8BT5I[nzTpIcepk0o8('\060' + '\x6f' + chr(0b1010 + 0o46), 8)])
L_jdjp26dtJx = L_jdjp26dtJx.drop(PzBPr6VGVsGE)
for r7AA1pbLjb44 in roI3spqORKae(L_jdjp26dtJx, roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(45) + chr(0b11101 + 0o33)))():
MpTx1mcEK_J0 = (L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(4961 - 4861) + chr(101) + chr(1479 - 1380) + chr(0b1101111) + chr(0b1100100) + chr(0b1011001 + 0o14))(chr(117) + chr(0b1110100) + chr(9370 - 9268) + chr(878 - 833) + chr(0b100101 + 0o23))] <= r7AA1pbLjb44[nzTpIcepk0o8(chr(48) + '\157' + chr(1143 - 1094), 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\x64' + chr(0b1100101) + '\143' + chr(0b1010010 + 0o35) + chr(3612 - 3512) + chr(7056 - 6955))(chr(0b110100 + 0o101) + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')]) & (L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), '\144' + '\145' + chr(0b1 + 0o142) + chr(111) + chr(8420 - 8320) + '\145')('\x75' + chr(501 - 385) + '\x66' + '\x2d' + chr(1104 - 1048))] + LpU5RQpmJtzj >= r7AA1pbLjb44[nzTpIcepk0o8(chr(0b10110 + 0o32) + '\157' + chr(49), 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(8418 - 8318) + chr(101) + chr(0b1000100 + 0o37) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(5833 - 5731) + chr(45) + chr(853 - 797))])
for GRbsaHW8BT5I in roI3spqORKae(L_jdjp26dtJx[MpTx1mcEK_J0], roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), '\144' + chr(7171 - 7070) + '\143' + chr(4700 - 4589) + '\x64' + '\x65')(chr(6959 - 6842) + chr(0b1101 + 0o147) + chr(4867 - 4765) + chr(45) + chr(1156 - 1100)))():
AQ9ceR9AaoT1 = nzTpIcepk0o8(chr(662 - 614) + '\157' + chr(49), 8)
if roI3spqORKae(Bvi71nNyvlqO(GRbsaHW8BT5I[nzTpIcepk0o8(chr(799 - 751) + chr(0b101111 + 0o100) + '\x31', 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), '\144' + chr(3610 - 3509) + '\143' + chr(2172 - 2061) + chr(2986 - 2886) + chr(101))(chr(0b1110101) + chr(0b1000010 + 0o62) + chr(102) + '\x2d' + chr(0b111000))]), roI3spqORKae(ES5oEprVxulp(b'\xd4Y\xa0krMr.\x19\xc6'), '\x64' + '\145' + '\143' + chr(0b1101111) + '\x64' + '\x65')(chr(0b111110 + 0o67) + chr(116) + '\146' + chr(45) + chr(971 - 915)))(r7AA1pbLjb44[nzTpIcepk0o8(chr(0b110000) + chr(0b1011011 + 0o24) + chr(979 - 930), 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), '\144' + '\145' + chr(0b101100 + 0o67) + chr(0b1101111) + chr(2479 - 2379) + chr(0b1001010 + 0o33))(chr(0b1110101) + '\x74' + '\146' + chr(45) + chr(0b101011 + 0o15))]):
L_jdjp26dtJx.UQ8hRiBoHcn5[r7AA1pbLjb44[nzTpIcepk0o8('\x30' + '\x6f' + '\060', 8)], roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\144' + chr(0b1001011 + 0o32) + chr(2855 - 2756) + '\157' + chr(789 - 689) + '\x65')('\165' + '\164' + chr(102) + chr(0b101101) + chr(0b110111 + 0o1))] = GRbsaHW8BT5I[nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31', 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\x64' + '\x65' + chr(0b1100011) + '\157' + '\x64' + chr(6943 - 6842))(chr(13575 - 13458) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000))]
L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd1O\xbdyv@'), chr(0b11010 + 0o112) + chr(0b1000001 + 0o44) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(4170 - 4069))('\x75' + chr(116) + '\146' + '\055' + chr(0b1000 + 0o60))] = nDF4gVNx0u9Q.Tn6rGr7XTM7t(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), chr(6103 - 6003) + chr(3914 - 3813) + chr(99) + '\157' + '\144' + '\145')(chr(10534 - 10417) + '\164' + '\146' + chr(0b1100 + 0o41) + chr(0b111000))]) - nDF4gVNx0u9Q.Tn6rGr7XTM7t(L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), chr(7796 - 7696) + chr(101) + '\x63' + '\157' + '\x64' + '\x65')(chr(0b1000100 + 0o61) + '\164' + chr(102) + chr(0b101101) + chr(56))])
L_jdjp26dtJx = L_jdjp26dtJx[L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd1O\xbdyv@'), '\x64' + chr(3962 - 3861) + '\143' + chr(111) + chr(0b111 + 0o135) + chr(0b10111 + 0o116))('\x75' + chr(116) + chr(0b1011010 + 0o14) + chr(0b11111 + 0o16) + chr(0b111000))] >= OzjfUPwYt9n6]
L_jdjp26dtJx = L_jdjp26dtJx[L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xceC\xa9{'), chr(4100 - 4000) + chr(0b101000 + 0o75) + chr(4773 - 4674) + chr(111) + chr(9640 - 9540) + chr(101))(chr(11490 - 11373) + '\x74' + chr(102) + '\055' + chr(2096 - 2040))] >= uc4gGmjAvJP3]
PzBPr6VGVsGE = []
if LpU5RQpmJtzj > nzTpIcepk0o8(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b110000), 8):
for r7AA1pbLjb44 in roI3spqORKae(L_jdjp26dtJx, roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), '\x64' + '\145' + chr(7004 - 6905) + chr(8307 - 8196) + chr(100) + '\x65')('\x75' + '\164' + '\146' + chr(45) + '\070'))():
MpTx1mcEK_J0 = (L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), '\144' + chr(0b1100101) + chr(99) + chr(0b1111 + 0o140) + chr(2080 - 1980) + '\145')(chr(0b10110 + 0o137) + '\164' + chr(0b1011001 + 0o15) + '\x2d' + '\x38')] == r7AA1pbLjb44[nzTpIcepk0o8('\060' + chr(4264 - 4153) + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xd8D\xb7'), '\144' + '\145' + '\143' + '\157' + chr(0b1001111 + 0o25) + chr(0b1000011 + 0o42))(chr(6511 - 6394) + chr(2692 - 2576) + '\146' + '\x2d' + '\x38')]) & (L_jdjp26dtJx[roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\144' + chr(101) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b1010 + 0o153) + '\x74' + '\x66' + chr(184 - 139) + chr(0b11110 + 0o32))] < r7AA1pbLjb44[nzTpIcepk0o8('\060' + '\x6f' + '\061', 8)][roI3spqORKae(ES5oEprVxulp(b'\xce^\xb2lv'), '\x64' + '\145' + chr(2417 - 2318) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(6344 - 6227) + chr(0b1000110 + 0o56) + '\x66' + '\055' + chr(0b1100 + 0o54))])
for GRbsaHW8BT5I in roI3spqORKae(L_jdjp26dtJx[MpTx1mcEK_J0], roI3spqORKae(ES5oEprVxulp(b'\xd4^\xb6lpGw.'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(4590 - 4479) + '\x64' + chr(1683 - 1582))('\165' + chr(6774 - 6658) + chr(0b1100110) + chr(94 - 49) + '\x38'))():
if roI3spqORKae(Bvi71nNyvlqO(r7AA1pbLjb44[nzTpIcepk0o8(chr(48) + '\x6f' + chr(1802 - 1753), 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), '\144' + chr(0b1100101) + '\143' + chr(6183 - 6072) + chr(0b101101 + 0o67) + chr(9644 - 9543))('\x75' + '\164' + '\146' + chr(1265 - 1220) + chr(56))]), roI3spqORKae(ES5oEprVxulp(b'\xd4Y\xa0k`[e)'), chr(3022 - 2922) + '\x65' + '\x63' + '\157' + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(9593 - 9491) + chr(0b11110 + 0o17) + chr(0b111000)))(GRbsaHW8BT5I[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001), 8)][roI3spqORKae(ES5oEprVxulp(b'\xdeE\xbeswFi)\x05'), chr(0b1001101 + 0o27) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1001110 + 0o26) + chr(0b1100101))('\165' + chr(0b1110100 + 0o0) + '\146' + chr(0b101101) + chr(0b111000))]):
roI3spqORKae(PzBPr6VGVsGE, roI3spqORKae(ES5oEprVxulp(b'\xf5~\x80*zOG2\x16\xdd\xd1.'), '\144' + chr(0b1100101) + chr(1552 - 1453) + chr(0b1100010 + 0o15) + chr(0b1100010 + 0o2) + chr(9655 - 9554))(chr(0b100 + 0o161) + chr(116) + '\146' + '\x2d' + '\070'))(r7AA1pbLjb44[nzTpIcepk0o8(chr(48) + chr(0b1100100 + 0o13) + chr(0b100100 + 0o14), 8)])
L_jdjp26dtJx = L_jdjp26dtJx.drop(PzBPr6VGVsGE)
return L_jdjp26dtJx |
wiheto/teneto | teneto/communitydetection/tctc.py | tctc | def tctc(data, tau, epsilon, sigma, kappa=0, largedataset=False, rule='flock', noise=None, raw_signal='amplitude', output='array', tempdir=None, njobs=1, largestonly=False):
r"""
Runs TCTC community detection
Parameters
----------
data : array
Multiariate series with dimensions: "time, node" that belong to a network.
tau : int
tau specifies the minimum number of time-points of each temporal community must last.
epsilon : float
epsilon specifies the distance points in a community can be away from each other.
sigma : int
sigma specifies the minimum number of nodes that must be in a community.
kappa : int
kappa specifies the number of consecutive time-points that can break the distance or size rules.
largedataset : bool
If true, runs with HDF5 (beta)
rule : str
Can be 'convoy' or 'flock'.
- flock entials all nodes are max epsilon apart in a communiy.
- convoy entails that there is at least one node that is epsilon apart.
noise : array (defauly None)
Timeseries of dimensions "time, N" where N is the number of noise time series added. Any community that contains this time series is excluded.
raw_signal : str
Can be amplitude or phase
output : str
Can be array or df or None
tempdir : str
Specify where the temporary directory is if largedataset is True
njobs : int
number of jobs (not implemented yet)
largestonly : bool (default False)
If True only considers largest communities in rule application (should generally be false)
Returns
-----------
tctc : array, df
"""
# Get distance matrix
if largedataset:
raise NotImplementedError(
'HDF5 implementation for large datasets is not available yet')
else:
N_data = data.shape[1]
if noise is not None:
if len(noise.shape) == 1:
noise = np.array(noise, ndmin=2).transpose()
N_data = data.shape[1]
data = np.hstack([data, noise])
N = data.shape[1]
#T = data.shape[0]
if raw_signal == 'amplitude':
d = np.array([np.abs(data[:, n]-data[:, m])
for n in range(data.shape[-1]) for m in range(data.shape[-1])])
d = np.reshape(d, [data.shape[-1], data.shape[-1], data.shape[0]])
elif raw_signal == 'phase':
analytic_signal = hilbert(data.transpose())
instantaneous_phase = np.angle(analytic_signal)
d = np.zeros([data.shape[1], data.shape[1], data.shape[0]])
for n in range(data.shape[1]):
for m in range(data.shape[1]):
d[n, m, :] = np.remainder(
np.abs(instantaneous_phase[n, :] - instantaneous_phase[m, :]), np.pi)
# Shape of datin (with any addiitonal 0s or noise added to nodes)
dat_shape = [int(d.shape[-1]), int(d.shape[0])]
# Make trajectory matrix 1 where distance critera is kept
tctc_mat = np.zeros([dat_shape[1], dat_shape[1], dat_shape[0]])
tctc_mat[:, :, :][d <= epsilon] = 1
t1 = 1
t2 = 2
# The next two rules have to be run iteratively until it converges. i.e. when applying the sigma and tau parameters, if nothing more is pruned, then this is complete
# There may be a case where running it in this order could through some value that is unwanted due to the skipping mechanic.
# Doing it in the other order does create possible bad values.
while t1 != t2:
t1 = tctc_mat.sum()
cliques = []
if tctc_mat.sum() > 0:
# Run the trajectory clustering rule
if rule == 'flock':
cliques = [list(filter(lambda x: (len(x) >= sigma) and (len(set(x).intersection(np.arange(N_data, N+1))) == 0), nx.find_cliques(
nx.Graph(tctc_mat[:, :, t])))) for t in range(tctc_mat.shape[-1])]
#cliques = []
# with ProcessPoolExecutor(max_workers=njobs) as executor:
# job = {executor.submit(_cluster_flocks,tctc_mat[:,:,t],sigma) for t in range(tctc_mat.shape[-1])}
# for j in as_completed(job):
# cliques.append(j.result()[0])
elif rule == 'convoy':
cliques = [list(map(list, filter(lambda x: (len(x) >= sigma) and (len(set(x).intersection(np.arange(N_data, N+1))) == 0), nx.connected_components(
nx.Graph(tctc_mat[:, :, t]))))) for t in range(tctc_mat.shape[-1])]
# Reset the trajectory matrix (since info is now in "cliques").
# Add the infomation from clique into tctc_mat (i.e sigma is now implemented)
tctc_mat = np.zeros([dat_shape[1], dat_shape[1], dat_shape[0]])
# Due to advanced index copy, I've done this with too many forloops
for t in range(dat_shape[0]):
for c in cliques[t]:
# Make one of index communitytors a list.
cv = [[i] for i in c]
tctc_mat[cv, c, t] = 1
if tctc_mat.sum() > 0:
# Now impose tau criteria. This is done by flattening and (since tau has been added to the final dimension)
# Add some padding as this is going to be needed when flattening (ie different lines must have at least tau+kappa spacing between them)
tctc_mat = np.dstack([np.zeros([dat_shape[1], dat_shape[1], 1]), tctc_mat, np.zeros(
[dat_shape[1], dat_shape[1], tau+kappa])])
# Make to singular communitytor
tctc_mat_community = np.array(tctc_mat.flatten())
# Add an extra 0
tctc_mat_dif = np.append(tctc_mat_community, 0)
# Use diff. Where there is a 1 trajectory starts, where -1 trajectory ends
tctc_mat_dif = np.diff(tctc_mat_dif)
start_ones = np.where(tctc_mat_dif == 1)[0]
end_ones = np.where(tctc_mat_dif == -1)[0]
skip_ind = np.where(start_ones[1:]-end_ones[:-1] <= kappa)[0]
start_ones = np.delete(start_ones, skip_ind+1)
end_ones = np.delete(end_ones, skip_ind)
traj_len = end_ones - start_ones
# whereever traj_len is not long enough, loop through ind+t and make these 0
ind = start_ones[traj_len >= tau] + 1
l2 = traj_len[traj_len >= tau]
# for t in range(tau-1): # this didn't work (but was quicker) because of tau bug
# tctc_mat[ind+t] = 0
# Looping over each valid trajectory instance is slower but the safest was to impose tau restrain and reinserting it.
tctc_mat = np.zeros(tctc_mat_community.shape)
for i in range(len(ind)):
tctc_mat[ind[i]:ind[i]+l2[i]] = 1
tctc_mat = tctc_mat.reshape(
dat_shape[1], dat_shape[1], dat_shape[0]+kappa+tau+1)
# remove padding
tctc_mat = tctc_mat[:, :, 1:dat_shape[0]+1]
t2 = tctc_mat.sum()
# remove noise
tctc_mat = tctc_mat[:N_data, :N_data]
if output == 'array':
return tctc_mat
elif output == 'df':
if np.sum(tctc_mat) != 0:
df = partition_inference(
tctc_mat, cliques, tau, sigma, kappa)
return df
else:
return [] | python | def tctc(data, tau, epsilon, sigma, kappa=0, largedataset=False, rule='flock', noise=None, raw_signal='amplitude', output='array', tempdir=None, njobs=1, largestonly=False):
r"""
Runs TCTC community detection
Parameters
----------
data : array
Multiariate series with dimensions: "time, node" that belong to a network.
tau : int
tau specifies the minimum number of time-points of each temporal community must last.
epsilon : float
epsilon specifies the distance points in a community can be away from each other.
sigma : int
sigma specifies the minimum number of nodes that must be in a community.
kappa : int
kappa specifies the number of consecutive time-points that can break the distance or size rules.
largedataset : bool
If true, runs with HDF5 (beta)
rule : str
Can be 'convoy' or 'flock'.
- flock entials all nodes are max epsilon apart in a communiy.
- convoy entails that there is at least one node that is epsilon apart.
noise : array (defauly None)
Timeseries of dimensions "time, N" where N is the number of noise time series added. Any community that contains this time series is excluded.
raw_signal : str
Can be amplitude or phase
output : str
Can be array or df or None
tempdir : str
Specify where the temporary directory is if largedataset is True
njobs : int
number of jobs (not implemented yet)
largestonly : bool (default False)
If True only considers largest communities in rule application (should generally be false)
Returns
-----------
tctc : array, df
"""
# Get distance matrix
if largedataset:
raise NotImplementedError(
'HDF5 implementation for large datasets is not available yet')
else:
N_data = data.shape[1]
if noise is not None:
if len(noise.shape) == 1:
noise = np.array(noise, ndmin=2).transpose()
N_data = data.shape[1]
data = np.hstack([data, noise])
N = data.shape[1]
#T = data.shape[0]
if raw_signal == 'amplitude':
d = np.array([np.abs(data[:, n]-data[:, m])
for n in range(data.shape[-1]) for m in range(data.shape[-1])])
d = np.reshape(d, [data.shape[-1], data.shape[-1], data.shape[0]])
elif raw_signal == 'phase':
analytic_signal = hilbert(data.transpose())
instantaneous_phase = np.angle(analytic_signal)
d = np.zeros([data.shape[1], data.shape[1], data.shape[0]])
for n in range(data.shape[1]):
for m in range(data.shape[1]):
d[n, m, :] = np.remainder(
np.abs(instantaneous_phase[n, :] - instantaneous_phase[m, :]), np.pi)
# Shape of datin (with any addiitonal 0s or noise added to nodes)
dat_shape = [int(d.shape[-1]), int(d.shape[0])]
# Make trajectory matrix 1 where distance critera is kept
tctc_mat = np.zeros([dat_shape[1], dat_shape[1], dat_shape[0]])
tctc_mat[:, :, :][d <= epsilon] = 1
t1 = 1
t2 = 2
# The next two rules have to be run iteratively until it converges. i.e. when applying the sigma and tau parameters, if nothing more is pruned, then this is complete
# There may be a case where running it in this order could through some value that is unwanted due to the skipping mechanic.
# Doing it in the other order does create possible bad values.
while t1 != t2:
t1 = tctc_mat.sum()
cliques = []
if tctc_mat.sum() > 0:
# Run the trajectory clustering rule
if rule == 'flock':
cliques = [list(filter(lambda x: (len(x) >= sigma) and (len(set(x).intersection(np.arange(N_data, N+1))) == 0), nx.find_cliques(
nx.Graph(tctc_mat[:, :, t])))) for t in range(tctc_mat.shape[-1])]
#cliques = []
# with ProcessPoolExecutor(max_workers=njobs) as executor:
# job = {executor.submit(_cluster_flocks,tctc_mat[:,:,t],sigma) for t in range(tctc_mat.shape[-1])}
# for j in as_completed(job):
# cliques.append(j.result()[0])
elif rule == 'convoy':
cliques = [list(map(list, filter(lambda x: (len(x) >= sigma) and (len(set(x).intersection(np.arange(N_data, N+1))) == 0), nx.connected_components(
nx.Graph(tctc_mat[:, :, t]))))) for t in range(tctc_mat.shape[-1])]
# Reset the trajectory matrix (since info is now in "cliques").
# Add the infomation from clique into tctc_mat (i.e sigma is now implemented)
tctc_mat = np.zeros([dat_shape[1], dat_shape[1], dat_shape[0]])
# Due to advanced index copy, I've done this with too many forloops
for t in range(dat_shape[0]):
for c in cliques[t]:
# Make one of index communitytors a list.
cv = [[i] for i in c]
tctc_mat[cv, c, t] = 1
if tctc_mat.sum() > 0:
# Now impose tau criteria. This is done by flattening and (since tau has been added to the final dimension)
# Add some padding as this is going to be needed when flattening (ie different lines must have at least tau+kappa spacing between them)
tctc_mat = np.dstack([np.zeros([dat_shape[1], dat_shape[1], 1]), tctc_mat, np.zeros(
[dat_shape[1], dat_shape[1], tau+kappa])])
# Make to singular communitytor
tctc_mat_community = np.array(tctc_mat.flatten())
# Add an extra 0
tctc_mat_dif = np.append(tctc_mat_community, 0)
# Use diff. Where there is a 1 trajectory starts, where -1 trajectory ends
tctc_mat_dif = np.diff(tctc_mat_dif)
start_ones = np.where(tctc_mat_dif == 1)[0]
end_ones = np.where(tctc_mat_dif == -1)[0]
skip_ind = np.where(start_ones[1:]-end_ones[:-1] <= kappa)[0]
start_ones = np.delete(start_ones, skip_ind+1)
end_ones = np.delete(end_ones, skip_ind)
traj_len = end_ones - start_ones
# whereever traj_len is not long enough, loop through ind+t and make these 0
ind = start_ones[traj_len >= tau] + 1
l2 = traj_len[traj_len >= tau]
# for t in range(tau-1): # this didn't work (but was quicker) because of tau bug
# tctc_mat[ind+t] = 0
# Looping over each valid trajectory instance is slower but the safest was to impose tau restrain and reinserting it.
tctc_mat = np.zeros(tctc_mat_community.shape)
for i in range(len(ind)):
tctc_mat[ind[i]:ind[i]+l2[i]] = 1
tctc_mat = tctc_mat.reshape(
dat_shape[1], dat_shape[1], dat_shape[0]+kappa+tau+1)
# remove padding
tctc_mat = tctc_mat[:, :, 1:dat_shape[0]+1]
t2 = tctc_mat.sum()
# remove noise
tctc_mat = tctc_mat[:N_data, :N_data]
if output == 'array':
return tctc_mat
elif output == 'df':
if np.sum(tctc_mat) != 0:
df = partition_inference(
tctc_mat, cliques, tau, sigma, kappa)
return df
else:
return [] | [
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"'arra... | r"""
Runs TCTC community detection
Parameters
----------
data : array
Multiariate series with dimensions: "time, node" that belong to a network.
tau : int
tau specifies the minimum number of time-points of each temporal community must last.
epsilon : float
epsilon specifies the distance points in a community can be away from each other.
sigma : int
sigma specifies the minimum number of nodes that must be in a community.
kappa : int
kappa specifies the number of consecutive time-points that can break the distance or size rules.
largedataset : bool
If true, runs with HDF5 (beta)
rule : str
Can be 'convoy' or 'flock'.
- flock entials all nodes are max epsilon apart in a communiy.
- convoy entails that there is at least one node that is epsilon apart.
noise : array (defauly None)
Timeseries of dimensions "time, N" where N is the number of noise time series added. Any community that contains this time series is excluded.
raw_signal : str
Can be amplitude or phase
output : str
Can be array or df or None
tempdir : str
Specify where the temporary directory is if largedataset is True
njobs : int
number of jobs (not implemented yet)
largestonly : bool (default False)
If True only considers largest communities in rule application (should generally be false)
Returns
-----------
tctc : array, df | [
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"community",
"detection"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/communitydetection/tctc.py#L117-L271 | train | r This function returns the TCTC community detection of a multi - class network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1532 - 1484) + chr(0b11001 + 0o126) + '\x33' + chr(0b1101 + 0o52) + chr(0b110100), 21849 - 21841), nzTpIcepk0o8(chr(1180 - 1132) + chr(7405 - 7294) + chr(51) + chr(48) + '\x30', 0b1000), nzTpIcepk0o8('\x30' + chr(7510 - 7399) + chr(0b11011 + 0o30) + '\x31' + chr(0b10001 + 0o44), 35294 - 35286), nzTpIcepk0o8('\x30' + chr(0b101100 + 0o103) + '\063' + chr(2182 - 2132) + '\065', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b100101 + 0o112) + '\x33' + chr(52) + chr(49), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + chr(0b11110 + 0o27) + '\x33', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(1244 - 1194) + chr(0b0 + 0o60) + chr(1174 - 1125), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\062' + chr(1632 - 1584) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(2157 - 2109) + chr(0b1101111) + '\x33' + chr(0b110001) + '\x32', 51309 - 51301), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + chr(52) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x33' + '\x35' + '\x36', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(50) + '\062' + chr(54), 55230 - 55222), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(111) + chr(0b110010) + chr(53), 6712 - 6704), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1716 - 1667) + chr(0b10010 + 0o44) + '\062', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + '\x34' + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\x32' + '\065' + chr(0b100101 + 0o20), 0b1000), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(11009 - 10898) + chr(499 - 450) + '\061' + chr(1156 - 1104), 0b1000), nzTpIcepk0o8(chr(1934 - 1886) + '\x6f' + '\061' + chr(1273 - 1219) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(233 - 183) + chr(0b110000) + '\061', 8), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(8977 - 8866) + '\x31' + chr(49) + chr(52), 8), nzTpIcepk0o8('\x30' + chr(111) + '\x32' + chr(53) + chr(1299 - 1245), ord("\x08")), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(0b100011 + 0o16) + '\066' + '\x34', 36067 - 36059), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + '\x35' + '\x30', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b101011 + 0o104) + '\x32' + '\x33' + chr(50), 0o10), nzTpIcepk0o8(chr(48) + chr(3912 - 3801) + '\061' + chr(50) + chr(0b100010 + 0o25), 15497 - 15489), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061' + chr(0b110011) + chr(53), 0b1000), nzTpIcepk0o8(chr(181 - 133) + chr(0b110110 + 0o71) + '\x34' + '\060', 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\x6f' + chr(0b101101 + 0o5) + '\x33' + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o23) + chr(0b10000 + 0o40) + '\x31', 8), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(0b110000) + chr(0b1001 + 0o53), 0b1000), nzTpIcepk0o8(chr(0b11000 + 0o30) + chr(0b1101111) + chr(1411 - 1360) + '\x37' + '\x35', 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(111) + chr(50) + '\060' + '\x37', 0b1000), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b10000 + 0o137) + chr(0b110011) + chr(52) + chr(1761 - 1713), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(0b110000) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1011011 + 0o24) + '\x35' + '\064', 0b1000), nzTpIcepk0o8('\x30' + chr(0b100111 + 0o110) + chr(0b1 + 0o62) + chr(251 - 201) + '\x32', 0o10), nzTpIcepk0o8(chr(2288 - 2240) + chr(0b11101 + 0o122) + chr(0b11000 + 0o32) + chr(55) + '\x35', 38060 - 38052), nzTpIcepk0o8(chr(1766 - 1718) + '\x6f' + '\063' + chr(1772 - 1723) + '\063', 0o10), nzTpIcepk0o8(chr(0b10011 + 0o35) + '\x6f' + chr(50) + chr(54) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(1512 - 1464) + '\x6f' + chr(52) + chr(0b110100), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(111) + '\065' + '\x30', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd2'), chr(992 - 892) + '\x65' + chr(99) + chr(0b101001 + 0o106) + chr(4926 - 4826) + '\x65')('\165' + chr(0b111100 + 0o70) + chr(0b1100110) + chr(158 - 113) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def o2xR69s7rtLk(FfKOThdpoDTb, OzjfUPwYt9n6, rXBwt_pDlRRu, uc4gGmjAvJP3, LpU5RQpmJtzj=nzTpIcepk0o8(chr(695 - 647) + chr(11785 - 11674) + chr(48), 0b1000), lsUDqEXm90sO=nzTpIcepk0o8('\x30' + chr(111) + '\x30', 8), H1Nadj97ALZ5=roI3spqORKae(ES5oEprVxulp(b'\x9a\xac\xa2\xb6\x8a'), chr(100) + chr(1305 - 1204) + chr(5632 - 5533) + chr(0b1101111) + chr(4695 - 4595) + chr(3066 - 2965))(chr(0b1110101) + chr(13014 - 12898) + chr(102) + chr(0b101101) + '\070'), k8WZBdx_S5n8=None, w1UIKNUqeK1b=roI3spqORKae(ES5oEprVxulp(b'\x9d\xad\xbd\xb9\x88\xdf\xf4\xe7\xaf'), chr(1554 - 1454) + chr(3187 - 3086) + chr(0b11010 + 0o111) + '\157' + chr(8858 - 8758) + '\145')(chr(0b1110101) + chr(0b10111 + 0o135) + chr(102) + chr(0b11000 + 0o25) + chr(0b100100 + 0o24)), toKQXlEvBKaK=roI3spqORKae(ES5oEprVxulp(b'\x9d\xb2\xbf\xb4\x98'), chr(100) + chr(101) + chr(0b110000 + 0o63) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(0b1100 + 0o41) + chr(56)), KBB7A0ocQUrE=None, em5eAK7ynp6O=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49), 62645 - 62637), SQoE5O8OFw9K=nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8)):
if lsUDqEXm90sO:
raise Y1otPTwLRJvi(roI3spqORKae(ES5oEprVxulp(b'\xb4\x84\x8b\xe0\xc1\xc2\xec\xf3\xa6\xc5\x83\xf3{\x06\x01\xd9%\x1f\xefl\xc8\x1b\xda\xba;<R\xf9\xe4\xe4\x99\xe6\x94#_\xb7\xc9\xb8\x93M\x8f\xe0\xa3\xba\x95\x8b\xe0\xf5\xab\xc9\x82\xf7w\x1e\x05\x8d5\x15\xf5'), chr(100) + '\145' + chr(0b1100011) + chr(11279 - 11168) + chr(0b1011110 + 0o6) + chr(0b11011 + 0o112))(chr(117) + chr(116) + chr(102) + chr(0b101101) + '\x38'))
else:
erNGqQjolMxN = FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(6094 - 5983) + '\x31', 8)]
if k8WZBdx_S5n8 is not None:
if ftfygxgFas5X(roI3spqORKae(k8WZBdx_S5n8, roI3spqORKae(ES5oEprVxulp(b'\x90\xa8\xaf\x98\xd1\x92\xb3\xc2\x8c\xf7\xd6\xf0'), chr(0b100001 + 0o103) + chr(1492 - 1391) + chr(5845 - 5746) + chr(0b1101111) + chr(4599 - 4499) + '\145')(chr(0b1011 + 0o152) + '\164' + chr(0b11011 + 0o113) + chr(637 - 592) + '\070'))) == nzTpIcepk0o8(chr(0b110000) + '\157' + '\061', 8):
k8WZBdx_S5n8 = nDF4gVNx0u9Q.array(k8WZBdx_S5n8, ndmin=nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010), 0b1000)).transpose()
erNGqQjolMxN = FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(1051 - 1003) + '\157' + '\x31', 8)]
FfKOThdpoDTb = nDF4gVNx0u9Q.hstack([FfKOThdpoDTb, k8WZBdx_S5n8])
UtB2m8Xmgf5k = FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(0b1011 + 0o45) + '\157' + chr(49), 8)]
if w1UIKNUqeK1b == roI3spqORKae(ES5oEprVxulp(b'\x9d\xad\xbd\xb9\x88\xdf\xf4\xe7\xaf'), chr(0b10000 + 0o124) + '\145' + chr(99) + '\x6f' + chr(3548 - 3448) + chr(0b101011 + 0o72))(chr(117) + '\x74' + chr(0b1100110) + chr(0b111 + 0o46) + chr(56)):
vPPlOXQgR3SM = nDF4gVNx0u9Q.Tn6rGr7XTM7t([nDF4gVNx0u9Q.zQBGwUT7UU8L(FfKOThdpoDTb[:, NoZxuO7wjArS] - FfKOThdpoDTb[:, tF75nqoNENFL]) for NoZxuO7wjArS in bbT2xIe5pzk7(FfKOThdpoDTb.lhbM092AFW8f[-nzTpIcepk0o8(chr(1241 - 1193) + '\x6f' + chr(0b10100 + 0o35), 8)]) for tF75nqoNENFL in bbT2xIe5pzk7(FfKOThdpoDTb.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + chr(0b1001 + 0o50), 8)])])
vPPlOXQgR3SM = nDF4gVNx0u9Q.reshape(vPPlOXQgR3SM, [FfKOThdpoDTb.lhbM092AFW8f[-nzTpIcepk0o8('\060' + chr(111) + chr(167 - 118), 8)], FfKOThdpoDTb.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + chr(0b10101 + 0o132) + chr(2239 - 2190), 8)], FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b10101 + 0o132) + chr(0b10 + 0o56), 8)]])
elif w1UIKNUqeK1b == roI3spqORKae(ES5oEprVxulp(b'\x8c\xa8\xac\xa6\x84'), chr(1297 - 1197) + chr(101) + '\143' + chr(3051 - 2940) + chr(0b1100100) + chr(9515 - 9414))(chr(0b1110101) + chr(7900 - 7784) + '\146' + chr(45) + chr(56)):
voN6kGTy3WNb = UPS_IX4YR6k6(FfKOThdpoDTb.transpose())
vZyrA9plR5TK = nDF4gVNx0u9Q.aO7VavFy3Xvk(voN6kGTy3WNb)
vPPlOXQgR3SM = nDF4gVNx0u9Q.UmwwEp7MzR6q([FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8('\060' + '\157' + chr(490 - 441), 8)], FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061', 8)], FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(2303 - 2255) + '\x6f' + '\x30', 8)]])
for NoZxuO7wjArS in bbT2xIe5pzk7(roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'\x90\xa8\xaf\x98\xd1\x92\xb3\xc2\x8c\xf7\xd6\xf0'), '\144' + chr(101) + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(0b101110 + 0o107) + '\164' + chr(0b1100110) + chr(827 - 782) + '\x38'))[nzTpIcepk0o8(chr(635 - 587) + '\x6f' + chr(0b10001 + 0o40), 8)]):
for tF75nqoNENFL in bbT2xIe5pzk7(roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'\x90\xa8\xaf\x98\xd1\x92\xb3\xc2\x8c\xf7\xd6\xf0'), chr(344 - 244) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(3451 - 3335) + '\146' + chr(1914 - 1869) + '\x38'))[nzTpIcepk0o8(chr(1186 - 1138) + '\157' + '\061', 8)]):
vPPlOXQgR3SM[NoZxuO7wjArS, tF75nqoNENFL, :] = nDF4gVNx0u9Q.remainder(nDF4gVNx0u9Q.zQBGwUT7UU8L(vZyrA9plR5TK[NoZxuO7wjArS, :] - vZyrA9plR5TK[tF75nqoNENFL, :]), nDF4gVNx0u9Q.nMrXkRpTQ9Oo)
koHSxAxwGgIB = [nzTpIcepk0o8(vPPlOXQgR3SM.lhbM092AFW8f[-nzTpIcepk0o8('\060' + chr(196 - 85) + chr(0b10100 + 0o35), 8)]), nzTpIcepk0o8(vPPlOXQgR3SM.lhbM092AFW8f[nzTpIcepk0o8(chr(1828 - 1780) + chr(0b1101111) + chr(0b100010 + 0o16), 8)])]
fqIduMb3Vdpe = nDF4gVNx0u9Q.UmwwEp7MzR6q([koHSxAxwGgIB[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001), 8)], koHSxAxwGgIB[nzTpIcepk0o8('\x30' + chr(1638 - 1527) + chr(49), 8)], koHSxAxwGgIB[nzTpIcepk0o8(chr(48) + chr(0b101010 + 0o105) + '\060', 8)]])
fqIduMb3Vdpe[:, :, :][vPPlOXQgR3SM <= rXBwt_pDlRRu] = nzTpIcepk0o8(chr(0b100100 + 0o14) + '\x6f' + chr(1345 - 1296), 8)
Ro8rYvaBXnpq = nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1101111) + chr(49), 8)
JxuoNpiaD8tS = nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50), 8)
while Ro8rYvaBXnpq != JxuoNpiaD8tS:
Ro8rYvaBXnpq = fqIduMb3Vdpe.oclC8DLjA_lV()
j1XL3PrVb4x0 = []
if roI3spqORKae(fqIduMb3Vdpe, roI3spqORKae(ES5oEprVxulp(b'\x93\xa3\xa1\x96\xd9\xef\xcd\xe9\x8b\xff\x82\xc0'), chr(0b1100100) + '\145' + chr(0b111101 + 0o46) + '\x6f' + chr(100) + chr(0b10111 + 0o116))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b1100 + 0o54)))() > nzTpIcepk0o8(chr(0b110000) + chr(0b1000100 + 0o53) + chr(0b100101 + 0o13), 8):
if H1Nadj97ALZ5 == roI3spqORKae(ES5oEprVxulp(b'\x9a\xac\xa2\xb6\x8a'), chr(2215 - 2115) + '\x65' + '\x63' + '\157' + '\144' + '\145')(chr(0b1011 + 0o152) + chr(0b1110100) + chr(7256 - 7154) + chr(45) + chr(0b11101 + 0o33)):
j1XL3PrVb4x0 = [H4NoA26ON7iG(qEahrGEDF7Tq(lambda bI5jsQ9OkQtj: ftfygxgFas5X(bI5jsQ9OkQtj) >= uc4gGmjAvJP3 and ftfygxgFas5X(Bvi71nNyvlqO(bI5jsQ9OkQtj).intersection(nDF4gVNx0u9Q.chmI_GMU_sEi(erNGqQjolMxN, UtB2m8Xmgf5k + nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b10110 + 0o131) + chr(0b10111 + 0o32), 8)))) == nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8), zKtrBMPw45Ns.find_cliques(zKtrBMPw45Ns.Graph(fqIduMb3Vdpe[:, :, h3Vc_4wxEbgd])))) for h3Vc_4wxEbgd in bbT2xIe5pzk7(fqIduMb3Vdpe.lhbM092AFW8f[-nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001), 8)])]
elif H1Nadj97ALZ5 == roI3spqORKae(ES5oEprVxulp(b'\x9f\xaf\xa3\xa3\x8e\xd2'), chr(0b1100100) + chr(0b1100 + 0o131) + chr(0b111101 + 0o46) + chr(111) + '\x64' + chr(101))(chr(7482 - 7365) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b110010 + 0o6)):
j1XL3PrVb4x0 = [H4NoA26ON7iG(VVP82lOIz6CD(H4NoA26ON7iG, qEahrGEDF7Tq(lambda bI5jsQ9OkQtj: ftfygxgFas5X(bI5jsQ9OkQtj) >= uc4gGmjAvJP3 and ftfygxgFas5X(Bvi71nNyvlqO(bI5jsQ9OkQtj).intersection(nDF4gVNx0u9Q.chmI_GMU_sEi(erNGqQjolMxN, UtB2m8Xmgf5k + nzTpIcepk0o8('\060' + chr(4791 - 4680) + chr(2359 - 2310), 8)))) == nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + chr(0b1100 + 0o44), 8), zKtrBMPw45Ns.connected_components(zKtrBMPw45Ns.Graph(fqIduMb3Vdpe[:, :, h3Vc_4wxEbgd]))))) for h3Vc_4wxEbgd in bbT2xIe5pzk7(fqIduMb3Vdpe.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b1 + 0o57) + chr(6810 - 6699) + chr(0b110001), 8)])]
fqIduMb3Vdpe = nDF4gVNx0u9Q.UmwwEp7MzR6q([koHSxAxwGgIB[nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061', 8)], koHSxAxwGgIB[nzTpIcepk0o8('\x30' + chr(3135 - 3024) + chr(0b1000 + 0o51), 8)], koHSxAxwGgIB[nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(48), 8)]])
for h3Vc_4wxEbgd in bbT2xIe5pzk7(koHSxAxwGgIB[nzTpIcepk0o8('\060' + chr(0b1001000 + 0o47) + '\060', 8)]):
for teUmM7cKWZUa in j1XL3PrVb4x0[h3Vc_4wxEbgd]:
hwMAXhr2FY1_ = [[ZlbFMSG8gCoF] for ZlbFMSG8gCoF in teUmM7cKWZUa]
fqIduMb3Vdpe[hwMAXhr2FY1_, teUmM7cKWZUa, h3Vc_4wxEbgd] = nzTpIcepk0o8(chr(1164 - 1116) + '\157' + chr(49), 8)
if roI3spqORKae(fqIduMb3Vdpe, roI3spqORKae(ES5oEprVxulp(b'\x93\xa3\xa1\x96\xd9\xef\xcd\xe9\x8b\xff\x82\xc0'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(0b1000 + 0o135))('\x75' + '\164' + chr(0b10111 + 0o117) + '\055' + chr(0b111 + 0o61)))() > nzTpIcepk0o8('\060' + chr(2708 - 2597) + '\x30', 8):
fqIduMb3Vdpe = nDF4gVNx0u9Q.dstack([nDF4gVNx0u9Q.UmwwEp7MzR6q([koHSxAxwGgIB[nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + '\061', 8)], koHSxAxwGgIB[nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1101111) + chr(49), 8)], nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1001011 + 0o44) + chr(0b111 + 0o52), 8)]), fqIduMb3Vdpe, nDF4gVNx0u9Q.UmwwEp7MzR6q([koHSxAxwGgIB[nzTpIcepk0o8('\x30' + '\x6f' + '\061', 8)], koHSxAxwGgIB[nzTpIcepk0o8(chr(208 - 160) + chr(0b1101111) + chr(1990 - 1941), 8)], OzjfUPwYt9n6 + LpU5RQpmJtzj])])
fAGELAoRQpBD = nDF4gVNx0u9Q.Tn6rGr7XTM7t(fqIduMb3Vdpe.flatten())
L7J1RTBy92nd = nDF4gVNx0u9Q.HTS4xgGojoU5(fAGELAoRQpBD, nzTpIcepk0o8(chr(1427 - 1379) + chr(111) + chr(48), 8))
L7J1RTBy92nd = nDF4gVNx0u9Q.H5XQ4iF_jpSm(L7J1RTBy92nd)
y4yIS0kz3nWV = nDF4gVNx0u9Q.xWH4M7K6Qbd3(L7J1RTBy92nd == nzTpIcepk0o8('\x30' + chr(0b10110 + 0o131) + chr(49), 8))[nzTpIcepk0o8('\060' + chr(0b1101111) + '\060', 8)]
EapGR3t8rNqe = nDF4gVNx0u9Q.xWH4M7K6Qbd3(L7J1RTBy92nd == -nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(0b110000 + 0o1), 8))[nzTpIcepk0o8('\060' + chr(0b111101 + 0o62) + '\060', 8)]
lKf4zDsUf5hP = nDF4gVNx0u9Q.xWH4M7K6Qbd3(y4yIS0kz3nWV[nzTpIcepk0o8(chr(0b10 + 0o56) + chr(111) + chr(256 - 207), 8):] - EapGR3t8rNqe[:-nzTpIcepk0o8(chr(150 - 102) + chr(0b1101111) + chr(1297 - 1248), 8)] <= LpU5RQpmJtzj)[nzTpIcepk0o8('\060' + '\157' + chr(0b110000), 8)]
y4yIS0kz3nWV = nDF4gVNx0u9Q.gNQxGQmbJXBt(y4yIS0kz3nWV, lKf4zDsUf5hP + nzTpIcepk0o8(chr(48) + '\x6f' + chr(205 - 156), 8))
EapGR3t8rNqe = nDF4gVNx0u9Q.gNQxGQmbJXBt(EapGR3t8rNqe, lKf4zDsUf5hP)
bVAciobLlmKv = EapGR3t8rNqe - y4yIS0kz3nWV
w5vcgUzFN3bF = y4yIS0kz3nWV[bVAciobLlmKv >= OzjfUPwYt9n6] + nzTpIcepk0o8(chr(571 - 523) + chr(1230 - 1119) + chr(49), 8)
Iz9ShXZXw2p3 = bVAciobLlmKv[bVAciobLlmKv >= OzjfUPwYt9n6]
fqIduMb3Vdpe = nDF4gVNx0u9Q.UmwwEp7MzR6q(fAGELAoRQpBD.lhbM092AFW8f)
for ZlbFMSG8gCoF in bbT2xIe5pzk7(ftfygxgFas5X(w5vcgUzFN3bF)):
fqIduMb3Vdpe[w5vcgUzFN3bF[ZlbFMSG8gCoF]:w5vcgUzFN3bF[ZlbFMSG8gCoF] + Iz9ShXZXw2p3[ZlbFMSG8gCoF]] = nzTpIcepk0o8('\060' + '\x6f' + chr(879 - 830), 8)
fqIduMb3Vdpe = fqIduMb3Vdpe.reshape(koHSxAxwGgIB[nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x31', 8)], koHSxAxwGgIB[nzTpIcepk0o8(chr(1957 - 1909) + chr(111) + chr(49), 8)], koHSxAxwGgIB[nzTpIcepk0o8('\060' + chr(0b100011 + 0o114) + chr(0b110000), 8)] + LpU5RQpmJtzj + OzjfUPwYt9n6 + nzTpIcepk0o8('\x30' + chr(0b1011101 + 0o22) + chr(734 - 685), 8))
fqIduMb3Vdpe = fqIduMb3Vdpe[:, :, nzTpIcepk0o8('\x30' + chr(0b1000100 + 0o53) + '\061', 8):koHSxAxwGgIB[nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)] + nzTpIcepk0o8(chr(0b110000) + chr(11243 - 11132) + chr(0b110001), 8)]
JxuoNpiaD8tS = fqIduMb3Vdpe.oclC8DLjA_lV()
fqIduMb3Vdpe = fqIduMb3Vdpe[:erNGqQjolMxN, :erNGqQjolMxN]
if toKQXlEvBKaK == roI3spqORKae(ES5oEprVxulp(b'\x9d\xb2\xbf\xb4\x98'), '\x64' + chr(101) + '\143' + chr(111) + chr(0b1100100) + chr(5436 - 5335))('\x75' + chr(116) + '\x66' + '\055' + chr(0b111000)):
return fqIduMb3Vdpe
elif toKQXlEvBKaK == roI3spqORKae(ES5oEprVxulp(b'\x98\xa6'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(1461 - 1345) + '\146' + chr(0b101101) + chr(56)):
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x93\xa3\xa1\x96\xd9\xef\xcd\xe9\x8b\xff\x82\xc0'), chr(0b11010 + 0o112) + chr(0b111000 + 0o55) + '\143' + chr(0b1101 + 0o142) + chr(0b110001 + 0o63) + chr(4534 - 4433))(chr(0b10100 + 0o141) + chr(116) + chr(0b1100011 + 0o3) + chr(1504 - 1459) + chr(1815 - 1759)))(fqIduMb3Vdpe) != nzTpIcepk0o8(chr(931 - 883) + chr(111) + '\060', 8):
jpOn8DNZxbbx = hrcMvZ0lS_zD(fqIduMb3Vdpe, j1XL3PrVb4x0, OzjfUPwYt9n6, uc4gGmjAvJP3, LpU5RQpmJtzj)
return jpOn8DNZxbbx
else:
return [] |
wiheto/teneto | teneto/networkmeasures/temporal_efficiency.py | temporal_efficiency | def temporal_efficiency(tnet=None, paths=None, calc='global'):
r"""
Returns temporal efficiency estimate. BU networks only.
Parameters
----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
calc : str
Options: 'global' (default) - measure averages over time and nodes;
'node' or 'node_from' average over nodes (i) and time. Giving average efficiency for i to j;
'node_to' measure average over nodes j and time;
Giving average efficiency using paths to j from i;
Returns
-------
E : array
Global temporal efficiency
"""
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
# Calculate efficiency which is 1 over the mean path.
if calc == 'global':
eff = 1 / np.nanmean(pathmat)
elif calc == 'node' or calc == 'node_from':
eff = 1 / np.nanmean(np.nanmean(pathmat, axis=2), axis=1)
elif calc == 'node_to':
eff = 1 / np.nanmean(np.nanmean(pathmat, axis=2), axis=0)
return eff | python | def temporal_efficiency(tnet=None, paths=None, calc='global'):
r"""
Returns temporal efficiency estimate. BU networks only.
Parameters
----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
calc : str
Options: 'global' (default) - measure averages over time and nodes;
'node' or 'node_from' average over nodes (i) and time. Giving average efficiency for i to j;
'node_to' measure average over nodes j and time;
Giving average efficiency using paths to j from i;
Returns
-------
E : array
Global temporal efficiency
"""
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
# Calculate efficiency which is 1 over the mean path.
if calc == 'global':
eff = 1 / np.nanmean(pathmat)
elif calc == 'node' or calc == 'node_from':
eff = 1 / np.nanmean(np.nanmean(pathmat, axis=2), axis=1)
elif calc == 'node_to':
eff = 1 / np.nanmean(np.nanmean(pathmat, axis=2), axis=0)
return eff | [
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Returns temporal efficiency estimate. BU networks only.
Parameters
----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
calc : str
Options: 'global' (default) - measure averages over time and nodes;
'node' or 'node_from' average over nodes (i) and time. Giving average efficiency for i to j;
'node_to' measure average over nodes j and time;
Giving average efficiency using paths to j from i;
Returns
-------
E : array
Global temporal efficiency | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/temporal_efficiency.py#L9-L60 | train | r Estimates the temporal efficiency of a given set of nodes and paths. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(389 - 341) + chr(9376 - 9265) + chr(2282 - 2232) + chr(0b0 + 0o64) + chr(0b1000 + 0o53), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b1011 + 0o47) + chr(0b101101 + 0o6) + chr(574 - 519), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110001 + 0o0) + '\x31' + '\x35', 48457 - 48449), nzTpIcepk0o8(chr(932 - 884) + chr(0b111101 + 0o62) + chr(0b110011) + chr(0b110011) + '\x37', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(1038 - 987) + chr(49), 0o10), nzTpIcepk0o8(chr(48) + chr(0b100 + 0o153) + chr(0b1001 + 0o52) + '\x31' + chr(1598 - 1546), 40142 - 40134), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b11101 + 0o24) + chr(1312 - 1264) + chr(0b110 + 0o56), 0b1000), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(0b1101111) + chr(49) + chr(0b110101) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x33' + chr(53) + chr(0b110000), 55495 - 55487), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(1063 - 1013) + chr(0b110101) + chr(0b11111 + 0o27), 0o10), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(8349 - 8238) + chr(0b101110 + 0o4) + chr(53) + chr(0b101111 + 0o5), 0b1000), nzTpIcepk0o8(chr(48) + chr(10045 - 9934) + chr(49) + chr(0b11111 + 0o22) + chr(0b100110 + 0o20), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + '\062' + chr(50) + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(7433 - 7322) + '\062' + chr(999 - 949), 0o10), nzTpIcepk0o8(chr(1250 - 1202) + chr(111) + chr(51) + '\064' + '\067', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1011001 + 0o26) + '\061' + '\x34' + '\x35', 0o10), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b1101111) + chr(54 - 4) + chr(2552 - 2501) + chr(113 - 61), 0b1000), nzTpIcepk0o8(chr(455 - 407) + chr(176 - 65) + '\062' + '\x30' + chr(50), 0o10), nzTpIcepk0o8('\060' + chr(7954 - 7843) + '\061' + chr(232 - 181) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b1000 + 0o53) + '\063' + '\067', 8), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(1488 - 1437) + chr(49), 8), nzTpIcepk0o8('\060' + '\x6f' + chr(50) + '\x32' + '\061', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(474 - 425) + chr(52), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1111 + 0o140) + '\x31' + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(3460 - 3349) + chr(2154 - 2105) + '\x34' + '\x35', 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(0b110000 + 0o1) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(1501 - 1451) + '\061', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110011) + '\x35' + chr(514 - 459), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(1640 - 1585) + chr(49), 20186 - 20178), nzTpIcepk0o8(chr(0b11011 + 0o25) + '\157' + chr(1156 - 1106) + '\x35' + chr(48), 10657 - 10649), nzTpIcepk0o8('\060' + chr(0b1000000 + 0o57) + '\063' + '\x35' + chr(51), ord("\x08")), nzTpIcepk0o8('\x30' + chr(2550 - 2439) + chr(0b110001) + chr(1262 - 1209) + chr(0b110000), 16056 - 16048), nzTpIcepk0o8(chr(653 - 605) + chr(0b111000 + 0o67) + chr(1418 - 1369) + chr(50) + chr(0b110111), 0o10), nzTpIcepk0o8('\060' + chr(0b101010 + 0o105) + chr(292 - 243) + chr(0b1100 + 0o52), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(1130 - 1081) + chr(0b1000 + 0o55) + chr(0b101001 + 0o14), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1011101 + 0o22) + '\x31' + chr(0b1100 + 0o50) + '\064', 3401 - 3393), nzTpIcepk0o8(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110111) + chr(51), 5368 - 5360), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + chr(0b1100 + 0o44) + '\x36', 0b1000), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1010010 + 0o35) + chr(0b10001 + 0o41) + chr(1544 - 1494) + '\060', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1663 - 1613) + '\x37' + chr(0b100111 + 0o16), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(224 - 176) + '\x6f' + chr(876 - 823) + '\x30', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x8d'), chr(0b1001000 + 0o34) + '\x65' + chr(0b11000 + 0o113) + chr(9247 - 9136) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(159 - 114) + chr(862 - 806)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def BalLCsQOZneF(sHR__4_c0Uoo=None, IQFTbBEt8buE=None, hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xc4\xf3"\xbd8\xa0'), chr(100) + chr(5606 - 5505) + chr(99) + chr(0b1101111) + chr(100) + chr(0b100011 + 0o102))('\165' + chr(0b1011101 + 0o27) + chr(102) + chr(1259 - 1214) + chr(0b1010 + 0o56))):
if sHR__4_c0Uoo is not None and IQFTbBEt8buE is not None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xec\xf1!\xa6y\xa2!\x19\x9f\xc1\xde%\xb4}\x95E\xec\xe3)\xb7y\xf8b{\x10<\xf1\x8eU\xc4\x84\x1f2jC'), '\x64' + chr(2450 - 2349) + chr(7165 - 7066) + chr(0b1001111 + 0o40) + chr(100) + '\145')(chr(11358 - 11241) + '\x74' + '\x66' + chr(45) + chr(524 - 468)))
if sHR__4_c0Uoo is None and IQFTbBEt8buE is None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xed\xf0m\xb67\xbc1\x19\xc6'), '\x64' + chr(101) + chr(99) + chr(111) + chr(100) + chr(8272 - 8171))(chr(117) + '\x74' + chr(102) + chr(0b101101) + chr(0b110010 + 0o6)))
if sHR__4_c0Uoo is not None:
IQFTbBEt8buE = DekaYgFY7DH2(sHR__4_c0Uoo)
gU7xbNSvlcoW = nDF4gVNx0u9Q.UmwwEp7MzR6q([IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xc5\xed"\xb2'), chr(0b11000 + 0o114) + '\x65' + '\x63' + '\157' + chr(0b111100 + 0o50) + chr(101))(chr(0b1001000 + 0o55) + '\164' + chr(0b1001111 + 0o27) + chr(0b11111 + 0o16) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xd7\xf0'), chr(100) + '\145' + chr(489 - 390) + '\x6f' + chr(100) + chr(5943 - 5842))(chr(0b1101100 + 0o11) + chr(116) + chr(801 - 699) + '\x2d' + chr(0b111000))]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001 + 0o0), 0o10), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xc5\xed"\xb2'), chr(100) + chr(101) + chr(2259 - 2160) + chr(0b1011 + 0o144) + '\x64' + '\145')(chr(117) + chr(11326 - 11210) + '\146' + '\x2d' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\xd7\xf0'), chr(0b1000 + 0o134) + chr(4593 - 4492) + chr(99) + '\157' + chr(6193 - 6093) + '\145')(chr(0b110100 + 0o101) + chr(8346 - 8230) + chr(102) + chr(0b100 + 0o51) + chr(66 - 10))]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110001), 8), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xd7\xc0>\xab8\xbe0'), chr(2773 - 2673) + chr(101) + chr(0b1100011) + chr(11546 - 11435) + chr(100) + chr(0b11 + 0o142))(chr(117) + chr(116) + '\146' + chr(1953 - 1908) + chr(56))]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(48) + chr(0b1011000 + 0o27) + '\061', 8)]) * nDF4gVNx0u9Q.nan
gU7xbNSvlcoW[IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xc5\xed"\xb2'), chr(0b1100100) + chr(1705 - 1604) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(3303 - 3186) + '\164' + chr(0b1001001 + 0o35) + chr(0b1 + 0o54) + '\x38')].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xd7\xf0'), '\x64' + chr(101) + '\143' + chr(111) + chr(0b100010 + 0o102) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(0b111000))].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xd7\xc0>\xab8\xbe0'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(9466 - 9355) + chr(0b1001111 + 0o25) + '\x65')('\165' + '\164' + chr(8986 - 8884) + chr(0b10101 + 0o30) + '\x38')].CsodZJH6x9Tx] = IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xd7\xfa \xaf6\xbe%\x01\xc5\xca\xc5=\xe0s\x89\x06\xf9'), chr(0b1100100) + chr(101) + chr(2216 - 2117) + '\157' + chr(7826 - 7726) + '\x65')('\165' + chr(116) + chr(2754 - 2652) + chr(45) + chr(56))]
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xc4\xf3"\xbd8\xa0'), '\x64' + chr(101) + '\143' + chr(0b101111 + 0o100) + chr(0b1001100 + 0o30) + chr(0b1100101))(chr(117) + '\x74' + '\146' + '\x2d' + '\x38'):
jRzZgiLa821M = nzTpIcepk0o8('\x30' + chr(0b110000 + 0o77) + '\061', 8) / nDF4gVNx0u9Q.nanmean(gU7xbNSvlcoW)
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xcd\xf0)\xba'), chr(0b1100100) + chr(0b1011 + 0o132) + '\x63' + '\157' + chr(0b1100 + 0o130) + chr(4728 - 4627))(chr(0b1011110 + 0o27) + chr(116) + '\x66' + '\055' + '\070') or hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xcd\xf0)\xba\x06\xaa6\x02\x85'), '\x64' + chr(101) + chr(7487 - 7388) + chr(111) + '\144' + chr(0b10111 + 0o116))(chr(0b11001 + 0o134) + chr(116) + chr(102) + '\x2d' + chr(56)):
jRzZgiLa821M = nzTpIcepk0o8(chr(258 - 210) + chr(111) + chr(0b110001), 8) / nDF4gVNx0u9Q.nanmean(nDF4gVNx0u9Q.nanmean(gU7xbNSvlcoW, axis=nzTpIcepk0o8(chr(0b11011 + 0o25) + '\157' + chr(50), 0b1000)), axis=nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11010 + 0o27), 8))
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xcd\xf0)\xba\x06\xb8+'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(0b1101 + 0o147) + chr(4413 - 4311) + chr(45) + '\x38'):
jRzZgiLa821M = nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101111) + '\x31', 8) / nDF4gVNx0u9Q.nanmean(nDF4gVNx0u9Q.nanmean(gU7xbNSvlcoW, axis=nzTpIcepk0o8(chr(0b101 + 0o53) + chr(7856 - 7745) + chr(1328 - 1278), 8)), axis=nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x30', 0b1000))
return jRzZgiLa821M |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.network_from_array | def network_from_array(self, array):
"""impo
Defines a network from an array.
Parameters
----------
array : array
3D numpy array.
"""
if len(array.shape) == 2:
array = np.array(array, ndmin=3).transpose([1, 2, 0])
teneto.utils.check_TemporalNetwork_input(array, 'array')
uvals = np.unique(array)
if len(uvals) == 2 and 1 in uvals and 0 in uvals:
i, j, t = np.where(array == 1)
self.network = pd.DataFrame(data={'i': i, 'j': j, 't': t})
else:
i, j, t = np.where(array != 0)
w = array[array != 0]
self.network = pd.DataFrame(
data={'i': i, 'j': j, 't': t, 'weight': w})
self.N = int(array.shape[0])
self.T = int(array.shape[-1])
self._update_network() | python | def network_from_array(self, array):
"""impo
Defines a network from an array.
Parameters
----------
array : array
3D numpy array.
"""
if len(array.shape) == 2:
array = np.array(array, ndmin=3).transpose([1, 2, 0])
teneto.utils.check_TemporalNetwork_input(array, 'array')
uvals = np.unique(array)
if len(uvals) == 2 and 1 in uvals and 0 in uvals:
i, j, t = np.where(array == 1)
self.network = pd.DataFrame(data={'i': i, 'j': j, 't': t})
else:
i, j, t = np.where(array != 0)
w = array[array != 0]
self.network = pd.DataFrame(
data={'i': i, 'j': j, 't': t, 'weight': w})
self.N = int(array.shape[0])
self.T = int(array.shape[-1])
self._update_network() | [
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Defines a network from an array.
Parameters
----------
array : array
3D numpy array. | [
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"array",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L179-L202 | train | This method creates a pandas DataFrame from an array. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b1 + 0o57) + chr(0b1101111) + chr(0b110100) + chr(0b101000 + 0o15), 0o10), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\157' + chr(0b110111) + '\x31', 0o10), nzTpIcepk0o8(chr(703 - 655) + chr(7606 - 7495) + chr(1129 - 1078) + chr(0b110101) + chr(54), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(0b1 + 0o62) + chr(537 - 484), 1074 - 1066), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + chr(0b110101) + chr(2230 - 2182), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110100) + chr(567 - 515), ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b1101111) + chr(430 - 379) + chr(0b101010 + 0o12), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b100001 + 0o20), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(4258 - 4147) + chr(1830 - 1780) + chr(1002 - 953) + '\x34', 5980 - 5972), nzTpIcepk0o8(chr(1908 - 1860) + '\x6f' + chr(0b110110) + '\064', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110011) + '\063' + chr(1557 - 1507), ord("\x08")), nzTpIcepk0o8(chr(579 - 531) + chr(111) + '\x35' + chr(54), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + '\x31' + chr(52), 0b1000), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1011100 + 0o23) + '\x33' + chr(0b1011 + 0o50) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(2087 - 2039) + chr(0b1001000 + 0o47) + chr(0b110001) + chr(54) + chr(594 - 542), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\x31' + chr(0b100011 + 0o16) + chr(2102 - 2053), 59673 - 59665), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + chr(2238 - 2189), 2133 - 2125), nzTpIcepk0o8('\x30' + '\157' + chr(0b1 + 0o60) + chr(50) + chr(0b100110 + 0o13), 17706 - 17698), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(111) + chr(100 - 49) + chr(49) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(728 - 680) + '\157' + chr(2973 - 2918) + '\063', 33286 - 33278), nzTpIcepk0o8(chr(0b110000) + chr(0b1010 + 0o145) + chr(1297 - 1247) + '\x33' + chr(0b101011 + 0o6), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b110101) + chr(0b110001), 37781 - 37773), nzTpIcepk0o8(chr(48) + '\x6f' + '\x36' + '\067', 0b1000), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(2051 - 1940) + '\x31' + '\x30' + chr(0b110001), 0b1000), nzTpIcepk0o8('\060' + chr(0b110111 + 0o70) + chr(0b110010) + chr(2038 - 1983) + chr(0b101011 + 0o10), 22100 - 22092), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1332 - 1282) + '\x37' + chr(55), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b10111 + 0o130) + chr(2130 - 2079) + chr(0b110011 + 0o1) + '\062', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(269 - 218) + chr(189 - 141) + chr(55), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1100100 + 0o13) + chr(50) + '\061', 8), nzTpIcepk0o8('\060' + chr(7332 - 7221) + chr(0b100000 + 0o22) + chr(0b110010) + chr(213 - 162), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(50) + chr(51) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + '\x31' + '\067' + '\x36', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1100000 + 0o17) + '\061' + chr(2042 - 1992) + '\x32', 10643 - 10635), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + '\x37' + chr(0b10100 + 0o37), 0o10), nzTpIcepk0o8(chr(1375 - 1327) + chr(0b1101101 + 0o2) + chr(0b11110 + 0o23) + chr(0b1011 + 0o54) + chr(1653 - 1599), 8), nzTpIcepk0o8('\060' + '\x6f' + chr(1909 - 1860) + '\061' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(8389 - 8278) + chr(50) + '\062', 0o10), nzTpIcepk0o8(chr(2165 - 2117) + chr(111) + chr(0b101 + 0o54) + chr(0b10100 + 0o34) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101001 + 0o12) + '\066' + chr(0b11101 + 0o30), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(964 - 914) + chr(0b100111 + 0o14) + chr(0b100 + 0o55), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + chr(0b1 + 0o64) + '\x30', 37696 - 37688)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x0b'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(6315 - 6204) + '\144' + chr(0b1011010 + 0o13))(chr(0b1010100 + 0o41) + chr(7019 - 6903) + chr(0b1010001 + 0o25) + chr(0b1101 + 0o40) + chr(1686 - 1630)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def JG1jZSbbKiFt(hXMPsSrOQzbh, Tn6rGr7XTM7t):
if ftfygxgFas5X(roI3spqORKae(Tn6rGr7XTM7t, roI3spqORKae(ES5oEprVxulp(b'IQ\x8c\x90\xd8\x1d.X\xcac\xe2H'), chr(7217 - 7117) + '\x65' + chr(0b1100011) + chr(0b111011 + 0o64) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(4537 - 4435) + chr(258 - 213) + chr(0b1000 + 0o60)))) == nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1240 - 1190), ord("\x08")):
Tn6rGr7XTM7t = nDF4gVNx0u9Q.array(Tn6rGr7XTM7t, ndmin=nzTpIcepk0o8('\x30' + '\x6f' + chr(51), 0o10)).transpose([nzTpIcepk0o8(chr(2118 - 2070) + chr(111) + chr(0b10 + 0o57), 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(6082 - 5971) + '\x32', 8), nzTpIcepk0o8('\060' + chr(0b1000111 + 0o50) + chr(238 - 190), ord("\x08"))])
roI3spqORKae(mfNgQb_vYBmS.utils, roI3spqORKae(ES5oEprVxulp(b'FQ\x8b\xbe\x83{H|\xe1D\xb5\\m\xb7:,e&\xa2I\xf26^/\xcb\xca\x96'), chr(0b1100100) + chr(0b110110 + 0o57) + '\143' + chr(0b11110 + 0o121) + chr(0b101 + 0o137) + chr(0b1100101))('\x75' + '\164' + chr(0b1111 + 0o127) + '\x2d' + '\x38'))(Tn6rGr7XTM7t, roI3spqORKae(ES5oEprVxulp(b'DK\x9c\xbc\x91'), chr(696 - 596) + chr(0b11 + 0o142) + '\x63' + '\157' + chr(6351 - 6251) + '\145')('\165' + chr(6978 - 6862) + chr(0b110100 + 0o62) + chr(472 - 427) + chr(805 - 749)))
NubLkJQlYM3M = nDF4gVNx0u9Q.G3de2eWQaS0D(Tn6rGr7XTM7t)
if ftfygxgFas5X(NubLkJQlYM3M) == nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50), 8) and nzTpIcepk0o8('\060' + '\157' + chr(0b101001 + 0o10), 8) in NubLkJQlYM3M and (nzTpIcepk0o8(chr(2224 - 2176) + chr(111) + chr(48), 8) in NubLkJQlYM3M):
(ZlbFMSG8gCoF, sChW4gUsXrIC, h3Vc_4wxEbgd) = nDF4gVNx0u9Q.xWH4M7K6Qbd3(Tn6rGr7XTM7t == nzTpIcepk0o8(chr(0b110000 + 0o0) + '\x6f' + '\x31', 8))
hXMPsSrOQzbh.IQ9EiAxcHPfV = HLKt4sa1j9hm.DataFrame(data={roI3spqORKae(ES5oEprVxulp(b'L'), chr(0b1100100 + 0o0) + chr(0b1100101) + chr(0b1100011) + chr(1921 - 1810) + '\144' + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(0b111000 + 0o0)): ZlbFMSG8gCoF, roI3spqORKae(ES5oEprVxulp(b'O'), chr(100) + chr(1059 - 958) + chr(99) + chr(111) + '\x64' + chr(101))(chr(3652 - 3535) + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + chr(0b101001 + 0o17)): sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'Q'), '\x64' + chr(0b1100101) + chr(0b111100 + 0o47) + chr(12296 - 12185) + '\144' + chr(7130 - 7029))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101 + 0o0) + chr(0b11010 + 0o36)): h3Vc_4wxEbgd})
else:
(ZlbFMSG8gCoF, sChW4gUsXrIC, h3Vc_4wxEbgd) = nDF4gVNx0u9Q.xWH4M7K6Qbd3(Tn6rGr7XTM7t != nzTpIcepk0o8('\x30' + chr(4030 - 3919) + chr(1046 - 998), 8))
sm7_CLmeWGR7 = Tn6rGr7XTM7t[Tn6rGr7XTM7t != nzTpIcepk0o8(chr(693 - 645) + chr(111) + '\060', 8)]
hXMPsSrOQzbh.IQ9EiAxcHPfV = HLKt4sa1j9hm.DataFrame(data={roI3spqORKae(ES5oEprVxulp(b'L'), chr(0b111101 + 0o47) + chr(0b10 + 0o143) + '\x63' + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)): ZlbFMSG8gCoF, roI3spqORKae(ES5oEprVxulp(b'O'), chr(0b1000100 + 0o40) + chr(0b1100101) + '\143' + '\157' + '\x64' + '\145')(chr(0b1101101 + 0o10) + chr(10072 - 9956) + chr(102) + chr(0b101101) + chr(56)): sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'Q'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(10489 - 10372) + '\164' + '\x66' + '\x2d' + '\x38'): h3Vc_4wxEbgd, roI3spqORKae(ES5oEprVxulp(b'R\\\x87\xba\x80P'), '\x64' + '\145' + '\143' + chr(111) + chr(497 - 397) + chr(0b1100101))(chr(7096 - 6979) + chr(0b101101 + 0o107) + chr(0b111100 + 0o52) + chr(0b101101) + chr(56)): sm7_CLmeWGR7})
hXMPsSrOQzbh.UtB2m8Xmgf5k = nzTpIcepk0o8(Tn6rGr7XTM7t.lhbM092AFW8f[nzTpIcepk0o8(chr(2299 - 2251) + chr(0b1001010 + 0o45) + chr(48), 8)])
hXMPsSrOQzbh.hq6XE4_Nhd6R = nzTpIcepk0o8(Tn6rGr7XTM7t.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o47), 8)])
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'zL\x9e\xb9\x89PyF\xe2Q\xaeYc\xa9\x1f'), '\x64' + '\145' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(2841 - 2785)))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.network_from_df | def network_from_df(self, df):
"""
Defines a network from an array.
Parameters
----------
array : array
Pandas dataframe. Should have columns: \'i\', \'j\', \'t\' where i and j are node indicies and t is the temporal index.
If weighted, should also include \'weight\'. Each row is an edge.
"""
teneto.utils.check_TemporalNetwork_input(df, 'df')
self.network = df
self._update_network() | python | def network_from_df(self, df):
"""
Defines a network from an array.
Parameters
----------
array : array
Pandas dataframe. Should have columns: \'i\', \'j\', \'t\' where i and j are node indicies and t is the temporal index.
If weighted, should also include \'weight\'. Each row is an edge.
"""
teneto.utils.check_TemporalNetwork_input(df, 'df')
self.network = df
self._update_network() | [
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array : array
Pandas dataframe. Should have columns: \'i\', \'j\', \'t\' where i and j are node indicies and t is the temporal index.
If weighted, should also include \'weight\'. Each row is an edge. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L213-L225 | train | Defines a network from a pandas dataframe. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(3315 - 3204) + chr(0b110011) + chr(0b101110 + 0o3) + chr(0b110110), 13987 - 13979), nzTpIcepk0o8(chr(48) + chr(0b1100000 + 0o17) + chr(0b10010 + 0o43) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\062' + chr(55), 45455 - 45447), nzTpIcepk0o8(chr(1520 - 1472) + chr(0b1101111) + chr(0b100000 + 0o23) + chr(0b10011 + 0o35) + '\x31', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(2312 - 2261) + chr(0b110 + 0o53) + chr(0b110000), 33250 - 33242), nzTpIcepk0o8('\060' + chr(111) + chr(0b11110 + 0o25) + '\061' + '\x35', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110010) + '\x33' + '\064', 40143 - 40135), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + '\062' + '\x31', 0o10), nzTpIcepk0o8('\x30' + chr(0b100110 + 0o111) + chr(0b100000 + 0o23) + chr(51) + '\062', 17008 - 17000), nzTpIcepk0o8('\x30' + '\157' + chr(0b100110 + 0o15) + chr(51) + '\x35', 5491 - 5483), nzTpIcepk0o8(chr(0b1011 + 0o45) + '\157' + chr(0b110001 + 0o1) + chr(51) + chr(0b101000 + 0o13), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + chr(0b110110) + chr(0b110011), 42493 - 42485), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1 + 0o156) + chr(50) + chr(0b1011 + 0o46) + chr(518 - 465), 31371 - 31363), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(2059 - 2004) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(1453 - 1405) + '\x6f' + '\063' + '\060' + chr(0b1011 + 0o53), 37159 - 37151), nzTpIcepk0o8(chr(0b110000) + chr(9906 - 9795) + chr(0b101111 + 0o2) + '\065' + chr(0b110110), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110111) + '\065', 0b1000), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b101011 + 0o104) + '\062' + chr(1651 - 1597) + chr(0b10000 + 0o43), 0o10), nzTpIcepk0o8(chr(0b101101 + 0o3) + '\x6f' + chr(0b110011) + chr(0b100011 + 0o20) + chr(52), 0o10), nzTpIcepk0o8('\060' + chr(3045 - 2934) + chr(49) + chr(51) + chr(0b101000 + 0o11), 0b1000), nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(664 - 553) + '\062' + chr(1735 - 1684) + chr(48), 0o10), nzTpIcepk0o8(chr(48) + chr(0b101101 + 0o102) + chr(0b110001) + '\062' + chr(441 - 393), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1100111 + 0o10) + chr(0b110011) + chr(0b10110 + 0o32) + chr(1403 - 1349), 8), nzTpIcepk0o8('\060' + chr(8652 - 8541) + '\x31' + '\067' + '\x31', 24906 - 24898), nzTpIcepk0o8('\060' + chr(111) + chr(49) + chr(569 - 521) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(1507 - 1459) + chr(0b10111 + 0o130) + chr(0b110010) + '\064' + '\060', 12271 - 12263), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b110010) + chr(0b10110 + 0o32) + '\066', 60582 - 60574), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x36' + chr(0b101100 + 0o13), 0b1000), nzTpIcepk0o8(chr(2016 - 1968) + chr(0b1010101 + 0o32) + chr(54) + chr(0b11 + 0o55), 48458 - 48450), nzTpIcepk0o8('\x30' + chr(1354 - 1243) + '\x31' + chr(0b101010 + 0o12) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(11246 - 11135) + chr(49) + '\061' + chr(0b101110 + 0o11), 26531 - 26523), nzTpIcepk0o8(chr(2116 - 2068) + '\x6f' + '\x37' + chr(0b10000 + 0o44), 0b1000), nzTpIcepk0o8('\x30' + chr(10165 - 10054) + '\063' + chr(0b1101 + 0o45), 0b1000), nzTpIcepk0o8(chr(630 - 582) + '\157' + '\x32' + chr(0b110111) + '\x32', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b111 + 0o55) + chr(0b10001 + 0o40), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(2041 - 1990) + chr(0b10111 + 0o35), 54309 - 54301), nzTpIcepk0o8(chr(1275 - 1227) + chr(0b1101111) + chr(49) + chr(55) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(2109 - 2061) + chr(4989 - 4878) + '\063' + chr(0b1001 + 0o54) + chr(0b1000 + 0o52), 38556 - 38548), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\x6f' + chr(0b110001) + chr(599 - 546) + chr(0b10 + 0o64), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31' + chr(2152 - 2100) + chr(1535 - 1480), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + '\x6f' + '\x35' + chr(0b1100 + 0o44), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(4112 - 4012) + chr(0b1100101) + chr(0b1110 + 0o125) + '\x6f' + chr(5810 - 5710) + chr(0b10000 + 0o125))(chr(9662 - 9545) + chr(6887 - 6771) + chr(0b101101 + 0o71) + '\055' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def tTjDvNtMPW4K(hXMPsSrOQzbh, jpOn8DNZxbbx):
roI3spqORKae(mfNgQb_vYBmS.utils, roI3spqORKae(ES5oEprVxulp(b'\xadEr\xa2\xa3\x92\xc8\xf4\xb7\xad\xf4\x01\xec\x17\x88\x0bI\xc4\xb3+\xf3\x0f\xaf\x173\xd5\xf2'), '\144' + chr(4711 - 4610) + chr(9117 - 9018) + chr(0b1101111) + '\144' + chr(0b1010100 + 0o21))(chr(0b1110101) + '\x74' + chr(0b1001001 + 0o35) + '\055' + '\x38'))(jpOn8DNZxbbx, roI3spqORKae(ES5oEprVxulp(b'\xaaK'), '\144' + '\145' + chr(0b10 + 0o141) + '\157' + chr(100) + chr(0b1000111 + 0o36))(chr(5073 - 4956) + chr(12376 - 12260) + chr(102) + '\055' + '\070'))
hXMPsSrOQzbh.IQ9EiAxcHPfV = jpOn8DNZxbbx
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x91Xg\xa5\xa9\xb9\xf9\xce\xb4\xb8\xef\x04\xe2\t\xad'), chr(0b1010110 + 0o16) + chr(0b101111 + 0o66) + chr(5493 - 5394) + chr(111) + '\144' + chr(0b100110 + 0o77))(chr(0b1101101 + 0o10) + chr(116) + chr(6321 - 6219) + '\x2d' + chr(0b110 + 0o62)))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.network_from_edgelist | def network_from_edgelist(self, edgelist):
"""
Defines a network from an array.
Parameters
----------
edgelist : list of lists.
A list of lists which are 3 or 4 in length. For binary networks each sublist should be [i, j ,t] where i and j are node indicies and t is the temporal index.
For weighted networks each sublist should be [i, j, t, weight].
"""
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if len(edgelist[0]) == 4:
colnames = ['i', 'j', 't', 'weight']
elif len(edgelist[0]) == 3:
colnames = ['i', 'j', 't']
self.network = pd.DataFrame(edgelist, columns=colnames)
self._update_network() | python | def network_from_edgelist(self, edgelist):
"""
Defines a network from an array.
Parameters
----------
edgelist : list of lists.
A list of lists which are 3 or 4 in length. For binary networks each sublist should be [i, j ,t] where i and j are node indicies and t is the temporal index.
For weighted networks each sublist should be [i, j, t, weight].
"""
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if len(edgelist[0]) == 4:
colnames = ['i', 'j', 't', 'weight']
elif len(edgelist[0]) == 3:
colnames = ['i', 'j', 't']
self.network = pd.DataFrame(edgelist, columns=colnames)
self._update_network() | [
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Parameters
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edgelist : list of lists.
A list of lists which are 3 or 4 in length. For binary networks each sublist should be [i, j ,t] where i and j are node indicies and t is the temporal index.
For weighted networks each sublist should be [i, j, t, weight]. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L227-L243 | train | Defines a network from an array of lists. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\157' + chr(49) + '\x31' + '\065', 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x32' + chr(1250 - 1202) + chr(0b10111 + 0o31), ord("\x08")), nzTpIcepk0o8('\060' + chr(7679 - 7568) + chr(0b100111 + 0o15) + chr(0b101101 + 0o5), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + chr(50) + '\061', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(2161 - 2112) + '\x34' + '\x30', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32' + '\x35', 0o10), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(9070 - 8959) + chr(49) + chr(0b11001 + 0o33) + chr(2524 - 2469), 53332 - 53324), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b101000 + 0o12) + chr(2004 - 1951) + '\x33', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b110 + 0o54) + chr(941 - 893) + chr(50), 30665 - 30657), nzTpIcepk0o8('\060' + chr(111) + chr(292 - 242) + chr(1451 - 1402), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + chr(51) + chr(1113 - 1063) + chr(104 - 51), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b1100 + 0o45) + chr(0b11 + 0o57), 0o10), nzTpIcepk0o8('\x30' + chr(0b1011011 + 0o24) + '\x37' + '\061', 19563 - 19555), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(564 - 515) + chr(50) + '\x37', 37473 - 37465), nzTpIcepk0o8('\060' + chr(0b1011010 + 0o25) + '\x36' + '\x32', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(55) + '\061', 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110100) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b101010 + 0o105) + chr(0b110011) + '\x33' + '\x33', 0o10), nzTpIcepk0o8(chr(0b10001 + 0o37) + '\157' + chr(0b10010 + 0o37) + chr(0b100111 + 0o16) + chr(55), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111 + 0o0) + chr(0b110010 + 0o0) + chr(0b101111 + 0o4), 49586 - 49578), nzTpIcepk0o8(chr(421 - 373) + chr(3623 - 3512) + chr(0b11100 + 0o32) + chr(0b110001), 27536 - 27528), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(2858 - 2803) + chr(0b11010 + 0o31), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1000101 + 0o52) + chr(0b110010) + '\x35' + chr(0b1100 + 0o47), 8), nzTpIcepk0o8(chr(48) + chr(12031 - 11920) + '\x35' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + chr(53) + chr(1228 - 1177), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(54) + chr(0b101001 + 0o7), 0b1000), nzTpIcepk0o8('\x30' + chr(6855 - 6744) + chr(0b110011) + chr(217 - 163) + '\x35', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2137 - 2088) + '\060' + chr(2703 - 2651), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1011011 + 0o24) + '\063', 0o10), nzTpIcepk0o8(chr(2037 - 1989) + '\x6f' + '\062' + chr(0b110111) + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(0b110110 + 0o71) + chr(2250 - 2200) + '\x37', 47843 - 47835), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + '\062' + chr(2112 - 2061), 0o10), nzTpIcepk0o8(chr(0b11110 + 0o22) + '\x6f' + chr(228 - 179) + chr(0b110111) + chr(0b11110 + 0o22), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b111000 + 0o67) + chr(2385 - 2336) + chr(2443 - 2392) + chr(48), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000 + 0o3) + '\x34' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(2110 - 2062) + chr(0b1101111) + '\063' + chr(1457 - 1409) + '\065', 22553 - 22545), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(0b1010 + 0o47) + '\060', ord("\x08")), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(10513 - 10402) + chr(0b110001) + chr(48) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\x6f' + chr(0b110001) + chr(0b11111 + 0o23) + chr(0b100001 + 0o21), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101000 + 0o7) + '\x33' + chr(220 - 169) + '\066', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(733 - 685) + '\157' + '\x35' + chr(48), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'c'), chr(0b101101 + 0o67) + '\145' + '\x63' + chr(0b100000 + 0o117) + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(0b1010100 + 0o22) + '\055' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def WCL6QulBujAl(hXMPsSrOQzbh, UwDIl_oH9ZGj):
roI3spqORKae(mfNgQb_vYBmS.utils, roI3spqORKae(ES5oEprVxulp(b'.\xe8G\xb2\x0bJ3\xce\xefa\xbaxX;|\\U\xac\x00aZ$\xc2@\x9b\x85\x81'), chr(7568 - 7468) + chr(101) + chr(0b10101 + 0o116) + chr(10904 - 10793) + chr(100) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(0b101101) + chr(56)))(UwDIl_oH9ZGj, roI3spqORKae(ES5oEprVxulp(b'(\xe4E\xb4\x0c|\x14\xdf'), chr(0b1100100) + '\145' + chr(0b111011 + 0o50) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(4041 - 3925) + chr(102) + '\x2d' + chr(56)))
if ftfygxgFas5X(UwDIl_oH9ZGj[nzTpIcepk0o8(chr(1296 - 1248) + chr(111) + '\060', 0o10)]) == nzTpIcepk0o8('\060' + chr(0b1101111) + '\x34', 0o10):
xJ9exNhutQDZ = [roI3spqORKae(ES5oEprVxulp(b'$'), chr(0b1100100) + chr(0b1100101) + chr(6624 - 6525) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000 + 0o0)), roI3spqORKae(ES5oEprVxulp(b"'"), chr(9600 - 9500) + chr(101) + chr(99) + '\x6f' + chr(0b0 + 0o144) + chr(101))(chr(0b100001 + 0o124) + chr(12669 - 12553) + '\x66' + '\055' + chr(206 - 150)), roI3spqORKae(ES5oEprVxulp(b'9'), chr(100) + '\x65' + chr(0b101110 + 0o65) + '\157' + chr(4892 - 4792) + chr(0b10000 + 0o125))('\x75' + chr(0b1110100) + chr(7531 - 7429) + chr(0b11000 + 0o25) + '\x38'), roI3spqORKae(ES5oEprVxulp(b':\xe5K\xb6\x08a'), '\x64' + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + '\x74' + '\x66' + chr(45) + chr(56))]
elif ftfygxgFas5X(UwDIl_oH9ZGj[nzTpIcepk0o8('\060' + '\157' + '\060', 8)]) == nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b100001 + 0o22), 8):
xJ9exNhutQDZ = [roI3spqORKae(ES5oEprVxulp(b'$'), chr(100) + chr(0b1001 + 0o134) + chr(99) + chr(0b1101100 + 0o3) + chr(0b1100100) + chr(3737 - 3636))('\x75' + chr(0b1001101 + 0o47) + chr(6722 - 6620) + chr(66 - 21) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b"'"), chr(0b111111 + 0o45) + chr(0b1100101) + chr(0b1100011) + chr(0b11100 + 0o123) + chr(100) + chr(0b100101 + 0o100))(chr(0b1110101) + chr(9262 - 9146) + chr(7844 - 7742) + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'9'), chr(3184 - 3084) + chr(960 - 859) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000))]
hXMPsSrOQzbh.IQ9EiAxcHPfV = HLKt4sa1j9hm.DataFrame(UwDIl_oH9ZGj, columns=xJ9exNhutQDZ)
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x12\xf5R\xb5\x01a\x02\xf4\xect\xa1}V%Y'), chr(100) + chr(8517 - 8416) + chr(4482 - 4383) + '\157' + chr(8532 - 8432) + chr(0b1100101))(chr(117) + '\164' + chr(102) + chr(0b101101) + chr(2144 - 2088)))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork._drop_duplicate_ij | def _drop_duplicate_ij(self):
"""
Drops duplicate entries from the network dataframe.
"""
self.network['ij'] = list(map(lambda x: tuple(sorted(x)), list(
zip(*[self.network['i'].values, self.network['j'].values]))))
self.network.drop_duplicates(['ij', 't'], inplace=True)
self.network.reset_index(inplace=True, drop=True)
self.network.drop('ij', inplace=True, axis=1) | python | def _drop_duplicate_ij(self):
"""
Drops duplicate entries from the network dataframe.
"""
self.network['ij'] = list(map(lambda x: tuple(sorted(x)), list(
zip(*[self.network['i'].values, self.network['j'].values]))))
self.network.drop_duplicates(['ij', 't'], inplace=True)
self.network.reset_index(inplace=True, drop=True)
self.network.drop('ij', inplace=True, axis=1) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L260-L268 | train | Drops duplicate entries from the network dataframe. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110000) + chr(0b101111 + 0o3), 0o10), nzTpIcepk0o8(chr(1076 - 1028) + '\x6f' + chr(0b110000 + 0o2) + chr(54) + '\x34', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b100111 + 0o110) + chr(0b10110 + 0o34) + '\061' + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + chr(0b10101 + 0o37) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(2434 - 2323) + chr(0b100110 + 0o21) + chr(0b110011), 0b1000), nzTpIcepk0o8('\060' + chr(0b1011101 + 0o22) + chr(0b110011) + '\065' + chr(0b1101 + 0o47), 54056 - 54048), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + chr(0b110011) + chr(2177 - 2126), 0b1000), nzTpIcepk0o8('\060' + chr(9485 - 9374) + '\x35' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(565 - 517) + chr(0b0 + 0o157) + '\x31' + chr(1285 - 1235) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(48) + chr(0b10100 + 0o133) + chr(49) + chr(2293 - 2240) + chr(0b100100 + 0o20), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(51), 0o10), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(12043 - 11932) + '\067' + '\x37', 0o10), nzTpIcepk0o8(chr(1599 - 1551) + '\157' + chr(0b1001 + 0o50) + chr(0b110000) + '\x31', 45941 - 45933), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + '\x35' + '\062', 0b1000), nzTpIcepk0o8(chr(1219 - 1171) + chr(0b1001111 + 0o40) + '\x31' + '\064' + chr(52), 14634 - 14626), nzTpIcepk0o8('\x30' + chr(2764 - 2653) + '\062' + chr(0b111 + 0o55) + chr(50), 0b1000), nzTpIcepk0o8(chr(102 - 54) + chr(11558 - 11447) + chr(51) + chr(0b110001) + chr(54), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(797 - 746) + chr(0b100010 + 0o24) + chr(0b10011 + 0o43), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(0b101100 + 0o11) + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1672 - 1621) + chr(51) + chr(1968 - 1917), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1512 - 1462) + chr(0b110110), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b10100 + 0o40) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(6417 - 6306) + chr(0b101100 + 0o5) + chr(0b10 + 0o56) + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(5115 - 5004) + chr(0b110010) + chr(0b1111 + 0o43) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1000001 + 0o56) + chr(0b10001 + 0o41) + chr(0b10011 + 0o37) + '\x35', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b10110 + 0o33) + '\062' + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b1 + 0o156) + chr(49) + chr(2453 - 2403) + '\x36', 0b1000), nzTpIcepk0o8(chr(272 - 224) + '\157' + '\x33' + '\066' + chr(350 - 296), 8), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(655 - 606) + chr(0b110111) + chr(0b110101), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + chr(0b110110) + chr(48), 39133 - 39125), nzTpIcepk0o8('\060' + chr(111) + '\x31' + chr(871 - 819) + chr(53), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(2519 - 2468), 8), nzTpIcepk0o8('\x30' + '\157' + '\067' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b100010 + 0o17) + chr(52) + chr(0b101000 + 0o16), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + '\067', 0o10), nzTpIcepk0o8(chr(146 - 98) + chr(0b1101111) + chr(50) + '\065' + '\x33', 25535 - 25527), nzTpIcepk0o8(chr(0b110000) + chr(10850 - 10739) + chr(0b10110 + 0o34) + chr(50), 37481 - 37473), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x31' + chr(0b110010), 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x33' + '\x30' + '\x37', 0b1000), nzTpIcepk0o8('\060' + chr(2517 - 2406) + '\062' + '\x32' + '\061', 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + chr(944 - 891) + chr(1688 - 1640), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xec'), chr(0b101100 + 0o70) + chr(101) + chr(99) + chr(0b1100001 + 0o16) + chr(5388 - 5288) + chr(3416 - 3315))('\165' + chr(4652 - 4536) + '\x66' + chr(0b101101) + chr(0b11010 + 0o36)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def SYYH0jWx8Q5Y(hXMPsSrOQzbh):
hXMPsSrOQzbh.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\xab\xde'), chr(4473 - 4373) + chr(101) + chr(0b1100011) + '\x6f' + '\x64' + '\145')('\x75' + chr(0b111000 + 0o74) + chr(102) + '\055' + '\x38')] = H4NoA26ON7iG(VVP82lOIz6CD(lambda bI5jsQ9OkQtj: nfNqtJL5aRaY(V3OlOVg98A85(bI5jsQ9OkQtj)), H4NoA26ON7iG(TxMFWa_Xzviv(*[hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'\xab'), '\144' + chr(5718 - 5617) + chr(99) + chr(0b101011 + 0o104) + chr(9286 - 9186) + chr(3692 - 3591))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(56))].CsodZJH6x9Tx, hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'\xa8'), '\144' + chr(0b1001000 + 0o35) + chr(0b100111 + 0o74) + chr(4583 - 4472) + '\144' + chr(0b1100101))(chr(13354 - 13237) + '\x74' + chr(102) + '\x2d' + '\070')].CsodZJH6x9Tx]))))
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b'\xa6\xc6\xe7\x94d\x88\xaeY=\x05`^5\x0f\x17'), chr(0b1100100) + chr(0b1011100 + 0o11) + '\x63' + '\157' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(1082 - 980) + chr(0b1010 + 0o43) + chr(0b0 + 0o70)))([roI3spqORKae(ES5oEprVxulp(b'\xab\xde'), '\x64' + '\x65' + '\x63' + chr(0b101001 + 0o106) + chr(0b1100100) + '\145')(chr(2533 - 2416) + chr(0b11 + 0o161) + chr(0b11011 + 0o113) + '\x2d' + chr(1690 - 1634)), roI3spqORKae(ES5oEprVxulp(b'\xb6'), '\144' + chr(0b10001 + 0o124) + chr(0b1100010 + 0o1) + '\157' + chr(100) + chr(0b1001110 + 0o27))(chr(117) + chr(116) + chr(0b100000 + 0o106) + chr(0b111 + 0o46) + '\070')], inplace=nzTpIcepk0o8(chr(0b101010 + 0o6) + '\157' + chr(790 - 741), 0b1000))
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b'\xb0\xd1\xfb\x81O\xb3\xb2G5\t{'), chr(0b1100100) + chr(4604 - 4503) + chr(5340 - 5241) + chr(0b111010 + 0o65) + chr(100) + chr(0b1000100 + 0o41))(chr(0b10101 + 0o140) + chr(0b1110100) + chr(0b1101 + 0o131) + chr(876 - 831) + chr(0b111000)))(inplace=nzTpIcepk0o8('\060' + chr(8762 - 8651) + chr(1060 - 1011), 8), drop=nzTpIcepk0o8('\x30' + '\x6f' + '\x31', 8))
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b'\xa6\xc6\xe7\x94'), chr(279 - 179) + chr(0b100011 + 0o102) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(10994 - 10878) + '\x66' + chr(45) + '\070'))(roI3spqORKae(ES5oEprVxulp(b'\xab\xde'), '\144' + '\x65' + chr(0b1010101 + 0o16) + chr(0b1101111) + '\144' + chr(7587 - 7486))(chr(5007 - 4890) + '\164' + '\146' + chr(0b11001 + 0o24) + chr(56)), inplace=nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061', 8), axis=nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101101 + 0o4), 8)) |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork._drop_diagonal | def _drop_diagonal(self):
"""
Drops self-contacts from the network dataframe.
"""
self.network = self.network.where(
self.network['i'] != self.network['j']).dropna()
self.network.reset_index(inplace=True, drop=True) | python | def _drop_diagonal(self):
"""
Drops self-contacts from the network dataframe.
"""
self.network = self.network.where(
self.network['i'] != self.network['j']).dropna()
self.network.reset_index(inplace=True, drop=True) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L270-L276 | train | Drops self - contacts from the network dataframe. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b10 + 0o57), ord("\x08")), nzTpIcepk0o8(chr(1541 - 1493) + chr(7516 - 7405) + chr(0b11101 + 0o26) + chr(0b110011) + chr(1828 - 1773), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + '\x36' + '\x32', 0b1000), nzTpIcepk0o8(chr(48) + chr(6521 - 6410) + '\062' + chr(0b1011 + 0o54) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(313 - 265) + chr(0b100001 + 0o116) + chr(0b1 + 0o61) + chr(0b110011) + chr(52), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b101111 + 0o100) + chr(2565 - 2510) + '\x31', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(1278 - 1227) + '\065' + '\064', 49190 - 49182), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110100) + chr(336 - 283), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010) + '\062', 57122 - 57114), nzTpIcepk0o8('\060' + '\x6f' + '\x31' + '\065' + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b10101 + 0o132) + '\x32' + chr(54) + chr(0b110011), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(51) + '\061', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b111 + 0o53) + chr(2329 - 2279), 8), nzTpIcepk0o8(chr(1993 - 1945) + '\157' + chr(0b110011) + '\x37', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(709 - 654) + chr(0b110000), 28337 - 28329), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x34' + chr(0b101100 + 0o11), 8), nzTpIcepk0o8(chr(2149 - 2101) + chr(0b10 + 0o155) + '\x31' + chr(1561 - 1508) + chr(1503 - 1450), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010) + chr(0b10100 + 0o34) + chr(0b110011), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b110010) + chr(50) + chr(879 - 829), 30525 - 30517), nzTpIcepk0o8(chr(48) + chr(111) + chr(1040 - 989) + chr(49) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(111) + chr(2455 - 2404) + chr(0b110001 + 0o4), 0b1000), nzTpIcepk0o8('\x30' + chr(8422 - 8311) + '\x31' + '\064' + chr(0b1 + 0o62), 0b1000), nzTpIcepk0o8(chr(1587 - 1539) + chr(0b10000 + 0o137) + chr(49) + chr(0b110011) + '\x30', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(1593 - 1542) + '\x34' + chr(0b1011 + 0o51), ord("\x08")), nzTpIcepk0o8(chr(1343 - 1295) + chr(111) + chr(0b11101 + 0o25) + '\x36' + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1421 - 1371) + '\067' + chr(0b110110), 20283 - 20275), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\065' + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(0b110010) + chr(1021 - 969), 46985 - 46977), nzTpIcepk0o8(chr(617 - 569) + chr(0b1101111) + chr(49) + chr(0b1000 + 0o52) + chr(2287 - 2234), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + '\063' + chr(0b110001) + chr(0b11000 + 0o36), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110010) + '\063' + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + chr(4427 - 4316) + '\x32' + chr(0b10001 + 0o43) + '\x36', 0o10), nzTpIcepk0o8(chr(48) + chr(0b10000 + 0o137) + chr(51) + chr(51) + '\063', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + '\x37' + chr(1619 - 1564), 57263 - 57255), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1614 - 1565) + chr(0b11011 + 0o34), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001) + chr(48) + chr(0b110110 + 0o1), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(53) + chr(0b100110 + 0o13), 8), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b10011 + 0o134) + '\064' + '\x36', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(111) + '\x35' + chr(0b110000), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'/'), chr(100) + '\145' + chr(4699 - 4600) + chr(0b101111 + 0o100) + chr(100) + chr(0b100101 + 0o100))('\x75' + chr(0b11000 + 0o134) + '\146' + chr(45) + chr(0b10010 + 0o46)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def cbwwJ6Cs2osp(hXMPsSrOQzbh):
hXMPsSrOQzbh.IQ9EiAxcHPfV = hXMPsSrOQzbh.network.where(hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'h'), chr(0b110011 + 0o61) + chr(2998 - 2897) + chr(99) + '\157' + chr(100) + chr(101))('\x75' + chr(8853 - 8737) + '\146' + '\055' + chr(0b111000))] != hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'k'), chr(0b1100100) + chr(0b100101 + 0o100) + chr(5469 - 5370) + chr(0b111111 + 0o60) + chr(7348 - 7248) + chr(0b111111 + 0o46))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + '\x38')]).dropna()
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b's\xba\x01\xdf\xe8f\x85Kv\x0b\xcb'), chr(8490 - 8390) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(6694 - 6593))(chr(131 - 14) + chr(0b10111 + 0o135) + chr(1157 - 1055) + '\x2d' + chr(56)))(inplace=nzTpIcepk0o8('\060' + '\157' + '\x31', 8), drop=nzTpIcepk0o8(chr(2074 - 2026) + '\x6f' + chr(0b110001), 8)) |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.add_edge | def add_edge(self, edgelist):
"""
Adds an edge from network.
Parameters
----------
edgelist : list
a list (or list of lists) containing the i,j and t indicies to be added. For weighted networks list should also contain a 'weight' key.
Returns
--------
Updates TenetoBIDS.network dataframe with new edge
"""
if not isinstance(edgelist[0], list):
edgelist = [edgelist]
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if len(edgelist[0]) == 4:
colnames = ['i', 'j', 't', 'weight']
elif len(edgelist[0]) == 3:
colnames = ['i', 'j', 't']
if self.hdf5:
with pd.HDFStore(self.network) as hdf:
rows = hdf.get_storer('network').nrows
hdf.append('network', pd.DataFrame(edgelist, columns=colnames, index=np.arange(
rows, rows+len(edgelist))), format='table', data_columns=True)
edgelist = np.array(edgelist)
if np.max(edgelist[:, :2]) > self.netshape[0]:
self.netshape[0] = np.max(edgelist[:, :2])
if np.max(edgelist[:, 2]) > self.netshape[1]:
self.netshape[1] = np.max(edgelist[:, 2])
else:
newedges = pd.DataFrame(edgelist, columns=colnames)
self.network = pd.concat(
[self.network, newedges], ignore_index=True, sort=True)
self._update_network() | python | def add_edge(self, edgelist):
"""
Adds an edge from network.
Parameters
----------
edgelist : list
a list (or list of lists) containing the i,j and t indicies to be added. For weighted networks list should also contain a 'weight' key.
Returns
--------
Updates TenetoBIDS.network dataframe with new edge
"""
if not isinstance(edgelist[0], list):
edgelist = [edgelist]
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if len(edgelist[0]) == 4:
colnames = ['i', 'j', 't', 'weight']
elif len(edgelist[0]) == 3:
colnames = ['i', 'j', 't']
if self.hdf5:
with pd.HDFStore(self.network) as hdf:
rows = hdf.get_storer('network').nrows
hdf.append('network', pd.DataFrame(edgelist, columns=colnames, index=np.arange(
rows, rows+len(edgelist))), format='table', data_columns=True)
edgelist = np.array(edgelist)
if np.max(edgelist[:, :2]) > self.netshape[0]:
self.netshape[0] = np.max(edgelist[:, :2])
if np.max(edgelist[:, 2]) > self.netshape[1]:
self.netshape[1] = np.max(edgelist[:, 2])
else:
newedges = pd.DataFrame(edgelist, columns=colnames)
self.network = pd.concat(
[self.network, newedges], ignore_index=True, sort=True)
self._update_network() | [
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Parameters
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edgelist : list
a list (or list of lists) containing the i,j and t indicies to be added. For weighted networks list should also contain a 'weight' key.
Returns
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Updates TenetoBIDS.network dataframe with new edge | [
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"network",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L297-L332 | train | Adds an edge from the network to the TenetoBIDS. network dataframe. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(6150 - 6039) + '\x31' + chr(0b101 + 0o53) + '\065', 0b1000), nzTpIcepk0o8(chr(1852 - 1804) + chr(111) + '\063' + chr(0b101110 + 0o5) + chr(646 - 593), 0o10), nzTpIcepk0o8(chr(0b101110 + 0o2) + '\x6f' + chr(0b100000 + 0o26) + '\062', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o15) + '\067' + chr(0b110000), 46174 - 46166), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\157' + chr(0b1101 + 0o51) + chr(0b101100 + 0o13), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\062' + chr(682 - 631) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + '\x35' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110001) + chr(0b110101) + chr(0b101110 + 0o2), 0o10), nzTpIcepk0o8(chr(1785 - 1737) + chr(2242 - 2131) + chr(0b110011) + chr(48) + chr(0b110011), 0o10), nzTpIcepk0o8('\x30' + chr(2556 - 2445) + chr(50) + chr(0b110101) + chr(0b11110 + 0o27), ord("\x08")), nzTpIcepk0o8(chr(552 - 504) + '\157' + chr(50) + chr(0b10 + 0o56) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111 + 0o0) + chr(884 - 834) + '\061' + chr(55), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(49) + chr(0b110001 + 0o2), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + chr(280 - 231) + chr(433 - 381), 61738 - 61730), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + '\061' + chr(0b110110) + '\x35', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31' + chr(48), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + '\x32' + chr(51), 63170 - 63162), nzTpIcepk0o8(chr(0b110000) + chr(6534 - 6423) + chr(0b110001) + chr(0b101111 + 0o4) + chr(1573 - 1518), 59219 - 59211), nzTpIcepk0o8(chr(0b101100 + 0o4) + '\157' + chr(0b101011 + 0o7) + '\x30' + chr(2166 - 2117), 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1101111) + '\061' + '\x31' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b101111 + 0o1) + '\x6f' + chr(0b110001) + chr(936 - 883) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + '\064' + chr(0b110110), 0o10), nzTpIcepk0o8(chr(48) + chr(749 - 638) + chr(0b110011) + chr(0b110001) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(0b1101111) + '\063' + '\x34' + chr(2447 - 2397), 23107 - 23099), nzTpIcepk0o8('\060' + chr(111) + chr(738 - 687) + chr(0b110100) + chr(0b110111), 17143 - 17135), nzTpIcepk0o8(chr(65 - 17) + chr(0b1101111) + chr(51) + '\063', 46126 - 46118), nzTpIcepk0o8(chr(1584 - 1536) + '\x6f' + '\062' + '\x32' + '\x37', 58980 - 58972), nzTpIcepk0o8('\060' + chr(11443 - 11332) + chr(51) + chr(0b11000 + 0o36) + chr(0b110000 + 0o5), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b101110 + 0o3) + '\x35' + '\065', 36137 - 36129), nzTpIcepk0o8(chr(48) + '\x6f' + chr(263 - 209) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(1217 - 1106) + chr(50) + '\x34' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b100111 + 0o12) + chr(55), 59419 - 59411), nzTpIcepk0o8(chr(48) + chr(0b1010 + 0o145) + chr(50) + chr(0b11 + 0o63) + chr(0b101000 + 0o12), 53951 - 53943), nzTpIcepk0o8(chr(1541 - 1493) + chr(0b1101111) + chr(51) + '\060' + chr(1774 - 1722), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + '\061' + chr(54), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + '\x33' + chr(0b110011) + chr(0b10100 + 0o35), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + chr(645 - 595) + chr(1112 - 1058), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x36' + chr(1527 - 1475), 33062 - 33054), nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(111) + chr(50) + '\x37' + '\x33', 0b1000), nzTpIcepk0o8('\x30' + chr(3849 - 3738) + chr(2024 - 1974) + chr(0b110100) + chr(778 - 723), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b10000 + 0o40) + '\157' + chr(53) + '\x30', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'k'), chr(0b1010000 + 0o24) + chr(10062 - 9961) + chr(99) + chr(0b1100011 + 0o14) + chr(100) + '\145')('\x75' + '\x74' + '\x66' + chr(1821 - 1776) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ZrvlvK9XL0Ci(hXMPsSrOQzbh, UwDIl_oH9ZGj):
if not suIjIS24Zkqw(UwDIl_oH9ZGj[nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(111) + chr(337 - 289), 0o10)], H4NoA26ON7iG):
UwDIl_oH9ZGj = [UwDIl_oH9ZGj]
roI3spqORKae(mfNgQb_vYBmS.utils, roI3spqORKae(ES5oEprVxulp(b'&\xb5W\xdb\\\xc1\xbd\r\xae\xdd\xef\xfdj ;m\xa7(\xee;\x059\xa5\x8c\x97n\xe3'), '\144' + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(5126 - 5025))(chr(0b1001011 + 0o52) + '\x74' + chr(0b110111 + 0o57) + chr(572 - 527) + chr(0b111000)))(UwDIl_oH9ZGj, roI3spqORKae(ES5oEprVxulp(b' \xb9U\xdd[\xf7\x9a\x1c'), chr(3087 - 2987) + chr(0b1001010 + 0o33) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b10111 + 0o116))(chr(1686 - 1569) + chr(0b1011011 + 0o31) + chr(102) + chr(0b10011 + 0o32) + chr(0b10101 + 0o43)))
if ftfygxgFas5X(UwDIl_oH9ZGj[nzTpIcepk0o8('\x30' + chr(111) + chr(457 - 409), 8)]) == nzTpIcepk0o8('\x30' + chr(0b1101111) + '\064', 0o10):
xJ9exNhutQDZ = [roI3spqORKae(ES5oEprVxulp(b','), chr(100) + chr(0b11010 + 0o113) + chr(0b1100011) + chr(0b1101111) + chr(0b1010010 + 0o22) + '\x65')('\165' + chr(12163 - 12047) + '\x66' + '\055' + chr(56)), roI3spqORKae(ES5oEprVxulp(b'/'), chr(6209 - 6109) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(3783 - 3682))('\165' + chr(0b101010 + 0o112) + chr(0b1100110) + chr(0b111 + 0o46) + chr(0b1010 + 0o56)), roI3spqORKae(ES5oEprVxulp(b'1'), '\x64' + chr(0b1101 + 0o130) + '\143' + '\157' + chr(100) + '\x65')(chr(0b1000100 + 0o61) + '\164' + '\146' + chr(0b101101) + '\070'), roI3spqORKae(ES5oEprVxulp(b'2\xb8[\xdf_\xea'), chr(0b100010 + 0o102) + '\x65' + chr(99) + chr(6842 - 6731) + '\x64' + chr(0b110100 + 0o61))('\x75' + chr(0b1110100) + chr(3283 - 3181) + chr(1130 - 1085) + chr(0b111000))]
elif ftfygxgFas5X(UwDIl_oH9ZGj[nzTpIcepk0o8('\x30' + '\x6f' + chr(2033 - 1985), 8)]) == nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(0b101101 + 0o102) + '\x33', 0o10):
xJ9exNhutQDZ = [roI3spqORKae(ES5oEprVxulp(b','), '\144' + chr(0b1100101) + chr(847 - 748) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + '\x74' + '\146' + chr(0b1 + 0o54) + '\070'), roI3spqORKae(ES5oEprVxulp(b'/'), chr(0b1100100) + chr(101) + '\x63' + chr(6601 - 6490) + '\x64' + '\145')('\165' + chr(0b1100011 + 0o21) + chr(102) + '\055' + chr(56)), roI3spqORKae(ES5oEprVxulp(b'1'), chr(6274 - 6174) + '\145' + chr(0b111011 + 0o50) + chr(111) + chr(5445 - 5345) + chr(4176 - 4075))(chr(0b1110100 + 0o1) + '\164' + '\146' + chr(45) + '\x38')]
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x1a\x8dU\xec\x0f\xae\xaf*\xba\xdf\xd8\xfa'), chr(942 - 842) + chr(101) + chr(99) + chr(7410 - 7299) + chr(0b111011 + 0o51) + chr(101))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000))):
with roI3spqORKae(HLKt4sa1j9hm, roI3spqORKae(ES5oEprVxulp(b'\r\x99t\xebC\xf1\x9b\r'), chr(0b1000001 + 0o43) + chr(7762 - 7661) + '\143' + chr(0b110101 + 0o72) + '\x64' + chr(2728 - 2627))('\x75' + chr(11755 - 11639) + '\146' + chr(45) + chr(0b100001 + 0o27)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x0c\x8c\x0b\xfd^\xdf\x91\x0b\x8b\xfd\xe6\xd9'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(7260 - 7160) + chr(0b1001100 + 0o31))(chr(0b101110 + 0o107) + '\x74' + chr(0b1100110) + chr(981 - 936) + chr(0b111000)))) as Hh6Wq1vyuArc:
AUW_CJJJXKka = Hh6Wq1vyuArc.get_storer(roI3spqORKae(ES5oEprVxulp(b'+\xb8F\xcfX\xec\x82'), chr(100) + chr(101) + chr(0b110111 + 0o54) + chr(111) + chr(0b1100010 + 0o2) + chr(0b1010001 + 0o24))(chr(1801 - 1684) + chr(116) + chr(102) + chr(0b100001 + 0o14) + chr(56))).nrows
roI3spqORKae(Hh6Wq1vyuArc, roI3spqORKae(ES5oEprVxulp(b'\r\x89a\x8cO\xf9\xae\x07\xa9\xc2\xd5\xba'), chr(5927 - 5827) + chr(0b1011011 + 0o12) + '\x63' + '\157' + chr(0b1100010 + 0o2) + chr(0b1000101 + 0o40))(chr(5130 - 5013) + chr(116) + '\146' + chr(45) + chr(3076 - 3020)))(roI3spqORKae(ES5oEprVxulp(b'+\xb8F\xcfX\xec\x82'), chr(4534 - 4434) + chr(101) + chr(3830 - 3731) + '\157' + chr(0b1001001 + 0o33) + chr(0b1011110 + 0o7))('\165' + chr(0b1011000 + 0o34) + chr(102) + chr(45) + chr(0b100001 + 0o27)), roI3spqORKae(HLKt4sa1j9hm, roI3spqORKae(ES5oEprVxulp(b'\x01\xbcF\xd9q\xec\x88\x05\xa6'), '\x64' + '\x65' + chr(0b110 + 0o135) + chr(1449 - 1338) + chr(0b1100100) + '\x65')('\x75' + '\x74' + chr(0b1100110) + chr(45) + '\070'))(UwDIl_oH9ZGj, columns=xJ9exNhutQDZ, index=roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'&\xb5_\xf1h\xd9\xa4=\x9c\xde\xc5\xe6'), chr(0b1100100) + '\145' + chr(0b1100011) + '\157' + chr(0b1000 + 0o134) + chr(4263 - 4162))('\x75' + chr(0b1110100) + chr(2620 - 2518) + '\055' + '\x38'))(AUW_CJJJXKka, AUW_CJJJXKka + ftfygxgFas5X(UwDIl_oH9ZGj))), format=roI3spqORKae(ES5oEprVxulp(b'1\xbcP\xd4R'), chr(0b10100 + 0o120) + chr(0b1001101 + 0o30) + chr(99) + chr(0b1101111) + chr(0b100011 + 0o101) + '\145')('\x75' + chr(9434 - 9318) + chr(0b110000 + 0o66) + chr(0b1111 + 0o36) + chr(552 - 496)), data_columns=nzTpIcepk0o8(chr(48) + chr(111) + chr(1445 - 1396), ord("\x08")))
UwDIl_oH9ZGj = nDF4gVNx0u9Q.Tn6rGr7XTM7t(UwDIl_oH9ZGj)
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x0e\x8b\x0b\xdb\\\xd7\x81\x1a\xac\xe4\xe9\xee'), chr(100) + chr(101) + chr(7865 - 7766) + chr(0b1101111) + '\144' + chr(0b11000 + 0o115))(chr(5607 - 5490) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b11010 + 0o36)))(UwDIl_oH9ZGj[:, :nzTpIcepk0o8(chr(326 - 278) + chr(0b1110 + 0o141) + '\x32', 0b1000)]) > roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'+\xb8F\xcb_\xff\x99\r'), chr(0b1101 + 0o127) + chr(0b1011111 + 0o6) + chr(0b1100 + 0o127) + chr(111) + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1011101 + 0o11) + chr(0b101101) + chr(56)))[nzTpIcepk0o8('\x30' + '\157' + chr(0b100010 + 0o16), 8)]:
hXMPsSrOQzbh.k_hzkZorywiQ[nzTpIcepk0o8('\x30' + chr(3982 - 3871) + chr(48), 8)] = nDF4gVNx0u9Q.KV9ckIhroIia(UwDIl_oH9ZGj[:, :nzTpIcepk0o8('\060' + '\x6f' + chr(50), 8)])
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x0e\x8b\x0b\xdb\\\xd7\x81\x1a\xac\xe4\xe9\xee'), chr(0b1100001 + 0o3) + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b101101) + chr(56)))(UwDIl_oH9ZGj[:, nzTpIcepk0o8('\060' + chr(0b110011 + 0o74) + chr(0b10110 + 0o34), 8)]) > roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'.\x82Z\xc2\\\xc4\x86\x1a\xba\xda\xe9\xde'), chr(0b1100001 + 0o3) + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b10111 + 0o135) + chr(3713 - 3611) + '\x2d' + '\x38'))[nzTpIcepk0o8('\060' + '\x6f' + '\061', 8)]:
hXMPsSrOQzbh.k_hzkZorywiQ[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b1101 + 0o44), 8)] = nDF4gVNx0u9Q.KV9ckIhroIia(UwDIl_oH9ZGj[:, nzTpIcepk0o8('\060' + '\x6f' + chr(0b11110 + 0o24), 8)])
else:
vUElL9_8MdSo = HLKt4sa1j9hm.DataFrame(UwDIl_oH9ZGj, columns=xJ9exNhutQDZ)
hXMPsSrOQzbh.IQ9EiAxcHPfV = HLKt4sa1j9hm.concat([hXMPsSrOQzbh.IQ9EiAxcHPfV, vUElL9_8MdSo], ignore_index=nzTpIcepk0o8(chr(0b110000) + '\157' + chr(2197 - 2148), 8), sort=nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2206 - 2157), 8))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x1a\xa8B\xdcV\xea\x8c7\xad\xc8\xf4\xf8d>\x1e'), chr(100) + '\145' + '\143' + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(5587 - 5471) + chr(5948 - 5846) + chr(45) + chr(0b10000 + 0o50)))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.drop_edge | def drop_edge(self, edgelist):
"""
Removes an edge from network.
Parameters
----------
edgelist : list
a list (or list of lists) containing the i,j and t indicies to be removes.
Returns
--------
Updates TenetoBIDS.network dataframe
"""
if not isinstance(edgelist[0], list):
edgelist = [edgelist]
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if self.hdf5:
with pd.HDFStore(self.network) as hdf:
for e in edgelist:
hdf.remove(
'network', 'i == ' + str(e[0]) + ' & ' + 'j == ' + str(e[1]) + ' & ' + 't == ' + str(e[2]))
print('HDF5 delete warning. This will not reduce the size of the file.')
else:
for e in edgelist:
idx = self.network[(self.network['i'] == e[0]) & (
self.network['j'] == e[1]) & (self.network['t'] == e[2])].index
self.network.drop(idx, inplace=True)
self.network.reset_index(inplace=True, drop=True)
self._update_network() | python | def drop_edge(self, edgelist):
"""
Removes an edge from network.
Parameters
----------
edgelist : list
a list (or list of lists) containing the i,j and t indicies to be removes.
Returns
--------
Updates TenetoBIDS.network dataframe
"""
if not isinstance(edgelist[0], list):
edgelist = [edgelist]
teneto.utils.check_TemporalNetwork_input(edgelist, 'edgelist')
if self.hdf5:
with pd.HDFStore(self.network) as hdf:
for e in edgelist:
hdf.remove(
'network', 'i == ' + str(e[0]) + ' & ' + 'j == ' + str(e[1]) + ' & ' + 't == ' + str(e[2]))
print('HDF5 delete warning. This will not reduce the size of the file.')
else:
for e in edgelist:
idx = self.network[(self.network['i'] == e[0]) & (
self.network['j'] == e[1]) & (self.network['t'] == e[2])].index
self.network.drop(idx, inplace=True)
self.network.reset_index(inplace=True, drop=True)
self._update_network() | [
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"edgelis... | Removes an edge from network.
Parameters
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edgelist : list
a list (or list of lists) containing the i,j and t indicies to be removes.
Returns
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Updates TenetoBIDS.network dataframe | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L334-L363 | train | Removes an edge from the TenetoBIDS. network dataframe. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(0b110010 + 0o75) + chr(191 - 140) + chr(0b110111) + '\x30', 0o10), nzTpIcepk0o8(chr(0b111 + 0o51) + '\x6f' + '\x32' + chr(52) + '\065', 62112 - 62104), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(385 - 337) + '\157' + chr(0b110110) + chr(0b101000 + 0o16), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(49) + '\x32' + chr(49), 0o10), nzTpIcepk0o8(chr(984 - 936) + chr(0b1101111) + '\062' + chr(0b110000 + 0o0), 0o10), nzTpIcepk0o8(chr(2251 - 2203) + chr(0b1101111) + chr(2709 - 2655) + chr(48), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(0b110101) + chr(0b0 + 0o62), 28030 - 28022), nzTpIcepk0o8('\060' + chr(0b11100 + 0o123) + chr(0b11011 + 0o26) + chr(0b110001) + chr(1423 - 1373), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(1159 - 1110) + chr(49), 59388 - 59380), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1058 - 1009) + '\060' + chr(0b11110 + 0o25), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(2210 - 2099) + chr(0b11000 + 0o31) + '\x30' + chr(0b11110 + 0o22), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\062' + '\x35' + '\x30', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\067' + chr(49), 0b1000), nzTpIcepk0o8(chr(2013 - 1965) + chr(8090 - 7979) + '\x32' + chr(192 - 139) + chr(0b110001 + 0o1), 26675 - 26667), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110101) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + '\x31' + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1001110 + 0o41) + '\062' + '\x34' + chr(0b110101), 8), nzTpIcepk0o8(chr(0b11001 + 0o27) + '\x6f' + chr(880 - 830) + '\067' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1149 - 1100) + chr(2257 - 2205) + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(49) + chr(1390 - 1339) + chr(0b110101), 20285 - 20277), nzTpIcepk0o8(chr(1265 - 1217) + '\157' + chr(0b110001) + chr(1856 - 1807) + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(891 - 842) + chr(1118 - 1068) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(437 - 389) + '\x6f' + chr(0b110001) + chr(50) + chr(48), 63690 - 63682), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110101) + '\x31', 38910 - 38902), nzTpIcepk0o8(chr(48) + chr(0b100110 + 0o111) + chr(49) + chr(0b110001) + chr(51), 0o10), nzTpIcepk0o8('\060' + '\157' + '\x33' + '\x33' + chr(52), 9108 - 9100), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1377 - 1325) + chr(0b110111), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + '\060' + chr(0b100101 + 0o17), 18644 - 18636), nzTpIcepk0o8(chr(2078 - 2030) + '\157' + chr(0b100 + 0o56) + chr(51) + '\063', 0o10), nzTpIcepk0o8('\060' + chr(3484 - 3373) + chr(0b110010) + chr(0b110111) + '\x32', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b1110 + 0o45) + '\061' + '\066', ord("\x08")), nzTpIcepk0o8(chr(1928 - 1880) + chr(0b100 + 0o153) + chr(0b110010) + chr(0b1001 + 0o56) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\066' + chr(52), 0o10), nzTpIcepk0o8('\060' + '\157' + '\065' + chr(0b11101 + 0o27), ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(10571 - 10460) + chr(699 - 648) + chr(49) + chr(2082 - 2033), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(0b110001) + chr(0b110101), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + '\x33' + chr(55), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(2638 - 2584), 0b1000), nzTpIcepk0o8(chr(1036 - 988) + chr(0b100110 + 0o111) + chr(0b1 + 0o62) + chr(0b100000 + 0o27), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + chr(53) + chr(48), 15138 - 15130)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd6'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def r7TqQEw5pDhV(hXMPsSrOQzbh, UwDIl_oH9ZGj):
if not suIjIS24Zkqw(UwDIl_oH9ZGj[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110000), 37927 - 37919)], H4NoA26ON7iG):
UwDIl_oH9ZGj = [UwDIl_oH9ZGj]
roI3spqORKae(mfNgQb_vYBmS.utils, roI3spqORKae(ES5oEprVxulp(b"\x9b\xcdvU:Od\x0f'9,2\xc9U\xe4K\xb9\xd2\xd0\x126\x10:>Y>\xa8"), chr(100) + chr(0b1100101) + '\x63' + '\157' + '\144' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))(UwDIl_oH9ZGj, roI3spqORKae(ES5oEprVxulp(b'\x9d\xc1tS=yC\x1e'), chr(0b1011001 + 0o13) + chr(0b100001 + 0o104) + chr(99) + chr(0b100010 + 0o115) + chr(4011 - 3911) + '\x65')('\165' + chr(0b1001110 + 0o46) + chr(1132 - 1030) + chr(0b101101) + '\x38'))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xa7\xf5tbi v(3;\x1b5'), chr(5151 - 5051) + chr(0b11110 + 0o107) + chr(0b1100011) + chr(111) + '\x64' + '\x65')(chr(8974 - 8857) + '\x74' + chr(1207 - 1105) + chr(0b1111 + 0o36) + '\070')):
with roI3spqORKae(HLKt4sa1j9hm, roI3spqORKae(ES5oEprVxulp(b'\xb0\xe1Ue%\x7fB\x0f'), chr(0b111101 + 0o47) + '\x65' + chr(99) + chr(111) + '\x64' + chr(101))(chr(12411 - 12294) + '\x74' + '\146' + chr(45) + chr(1878 - 1822)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xb1\xf4*s8QH\t\x02\x19%\x16'), chr(0b1100100) + chr(0b1001001 + 0o34) + '\143' + chr(111) + chr(1620 - 1520) + chr(2877 - 2776))(chr(0b1110101) + chr(0b100111 + 0o115) + chr(0b1100110) + '\x2d' + chr(0b111000)))) as Hh6Wq1vyuArc:
for wgf0sgcu_xPL in UwDIl_oH9ZGj:
roI3spqORKae(Hh6Wq1vyuArc, roI3spqORKae(ES5oEprVxulp(b"\x88\xe8\x7fc9t\x02 '\x02\x02\x05"), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1010 + 0o132) + chr(101))(chr(9607 - 9490) + chr(0b1110100) + '\146' + '\x2d' + chr(56)))(roI3spqORKae(ES5oEprVxulp(b'\x96\xc0gA>b['), '\144' + chr(0b1100101) + chr(0b111100 + 0o47) + chr(111) + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(1078 - 1033) + chr(2617 - 2561)), roI3spqORKae(ES5oEprVxulp(b'\x91\x85.\x0bq'), '\x64' + '\145' + chr(6071 - 5972) + '\x6f' + '\144' + chr(4255 - 4154))(chr(0b1000100 + 0o61) + '\164' + chr(102) + '\055' + chr(0b111000)) + N9zlRy29S1SS(wgf0sgcu_xPL[nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(0b110000), 8)]) + roI3spqORKae(ES5oEprVxulp(b'\xd8\x833'), '\x64' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(693 - 592))(chr(0b11010 + 0o133) + chr(10772 - 10656) + chr(102) + chr(0b101101) + '\070') + roI3spqORKae(ES5oEprVxulp(b'\x92\x85.\x0bq'), '\144' + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + chr(0b110101 + 0o77) + '\x66' + '\x2d' + '\070') + N9zlRy29S1SS(wgf0sgcu_xPL[nzTpIcepk0o8(chr(1486 - 1438) + '\x6f' + chr(839 - 790), 64285 - 64277)]) + roI3spqORKae(ES5oEprVxulp(b'\xd8\x833'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1000100 + 0o53) + chr(0b10101 + 0o117) + chr(0b1100101))(chr(0b1100011 + 0o22) + chr(4151 - 4035) + '\x66' + '\x2d' + '\x38') + roI3spqORKae(ES5oEprVxulp(b'\x8c\x85.\x0bq'), chr(8693 - 8593) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(101))('\165' + chr(6769 - 6653) + chr(102) + chr(1391 - 1346) + chr(0b111000)) + N9zlRy29S1SS(wgf0sgcu_xPL[nzTpIcepk0o8('\060' + chr(111) + chr(419 - 369), 0o10)]))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xb0\xe1U\x03qtU\x06/=&`\xdfX\xd8@\xa4\xcb\xd8N}\x1b;9Zk\xabN\xa8\xf7\x9a\xa0\xd6@\x0c\xbb\xa8\xfbs|\x9d\x85g^40C\x030,c/\xce\x19\xdeF\xa8\x85\xd9\t1*}'), '\x64' + '\145' + chr(0b1100011) + chr(0b1010010 + 0o35) + chr(0b1100100) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(45) + chr(56)))
else:
for wgf0sgcu_xPL in UwDIl_oH9ZGj:
At3kbMoXzzmV = hXMPsSrOQzbh.network[(hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'\x91'), chr(9110 - 9010) + chr(0b1010111 + 0o16) + '\x63' + '\x6f' + chr(100) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b1101 + 0o40) + chr(0b111000))] == wgf0sgcu_xPL[nzTpIcepk0o8('\x30' + chr(111) + chr(0b1 + 0o57), 8)]) & (hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'\x92'), chr(0b1011100 + 0o10) + '\x65' + '\x63' + chr(111) + '\144' + chr(0b1000011 + 0o42))('\165' + chr(116) + chr(0b1100110) + chr(45) + '\x38')] == wgf0sgcu_xPL[nzTpIcepk0o8(chr(48) + chr(7563 - 7452) + chr(0b101000 + 0o11), 8)]) & (hXMPsSrOQzbh.network[roI3spqORKae(ES5oEprVxulp(b'\x8c'), chr(0b1100100) + '\x65' + chr(3253 - 3154) + chr(10352 - 10241) + '\x64' + chr(0b1100101))('\165' + chr(0b111010 + 0o72) + '\x66' + '\055' + '\x38')] == wgf0sgcu_xPL[nzTpIcepk0o8('\060' + '\x6f' + chr(1353 - 1303), 8)])].ZpfN5tSLaZze
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b'\x9c\xd7|F'), '\144' + chr(0b110 + 0o137) + chr(7235 - 7136) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1101111 + 0o6) + chr(0b101 + 0o157) + chr(0b1100110) + '\x2d' + '\070'))(At3kbMoXzzmV, inplace=nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(1278 - 1229), 8))
roI3spqORKae(hXMPsSrOQzbh.network, roI3spqORKae(ES5oEprVxulp(b'\x8a\xc0`S%OY\x04.,;'), chr(0b10110 + 0o116) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(2638 - 2522) + chr(10340 - 10238) + chr(0b100110 + 0o7) + chr(56)))(inplace=nzTpIcepk0o8(chr(0b110000) + chr(11788 - 11677) + chr(0b100000 + 0o21), 8), drop=nzTpIcepk0o8(chr(381 - 333) + chr(111) + chr(0b110001), 8))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xa7\xd0cR0dU5$,77\xc7K\xc1'), chr(0b1100100) + chr(0b1100101) + chr(8022 - 7923) + chr(0b111110 + 0o61) + chr(0b110000 + 0o64) + chr(101))(chr(0b1010111 + 0o36) + chr(1697 - 1581) + '\146' + '\055' + chr(0b111000)))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.calc_networkmeasure | def calc_networkmeasure(self, networkmeasure, **measureparams):
"""
Calculate network measure.
Parameters
-----------
networkmeasure : str
Function to call. Functions available are in teneto.networkmeasures
measureparams : kwargs
kwargs for teneto.networkmeasure.[networkmeasure]
"""
availablemeasures = [f for f in dir(
teneto.networkmeasures) if not f.startswith('__')]
if networkmeasure not in availablemeasures:
raise ValueError(
'Unknown network measure. Available network measures are: ' + ', '.join(availablemeasures))
funs = inspect.getmembers(teneto.networkmeasures)
funs = {m[0]: m[1] for m in funs if not m[0].startswith('__')}
measure = funs[networkmeasure](self, **measureparams)
return measure | python | def calc_networkmeasure(self, networkmeasure, **measureparams):
"""
Calculate network measure.
Parameters
-----------
networkmeasure : str
Function to call. Functions available are in teneto.networkmeasures
measureparams : kwargs
kwargs for teneto.networkmeasure.[networkmeasure]
"""
availablemeasures = [f for f in dir(
teneto.networkmeasures) if not f.startswith('__')]
if networkmeasure not in availablemeasures:
raise ValueError(
'Unknown network measure. Available network measures are: ' + ', '.join(availablemeasures))
funs = inspect.getmembers(teneto.networkmeasures)
funs = {m[0]: m[1] for m in funs if not m[0].startswith('__')}
measure = funs[networkmeasure](self, **measureparams)
return measure | [
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Parameters
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networkmeasure : str
Function to call. Functions available are in teneto.networkmeasures
measureparams : kwargs
kwargs for teneto.networkmeasure.[networkmeasure] | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L365-L385 | train | Calculates the network measure. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(4532 - 4421) + chr(0b110011) + chr(0b101100 + 0o10) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(1068 - 957) + '\x31' + chr(1498 - 1447) + chr(96 - 43), 2056 - 2048), nzTpIcepk0o8('\060' + '\157' + '\063' + chr(1606 - 1558) + '\x31', 0o10), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(0b10011 + 0o36), 58363 - 58355), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(0b110110) + chr(586 - 535), 58736 - 58728), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11011 + 0o30) + chr(0b110100) + chr(0b10001 + 0o41), 8), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + '\065' + chr(2134 - 2083), 0b1000), nzTpIcepk0o8('\x30' + chr(5288 - 5177) + chr(51) + chr(682 - 630) + chr(1702 - 1650), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\067' + '\x30', 20205 - 20197), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(0b110010) + chr(48), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + '\063' + chr(0b110000), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(54), 8571 - 8563), nzTpIcepk0o8(chr(2170 - 2122) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b1001 + 0o50) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\064' + '\067', 21513 - 21505), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o3) + '\x31' + chr(0b110000), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b11011 + 0o26) + chr(0b110111) + '\x34', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b10101 + 0o36) + chr(1306 - 1255) + chr(55), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(53) + chr(0b11 + 0o64), 9929 - 9921), nzTpIcepk0o8(chr(48) + chr(0b110100 + 0o73) + chr(0b11000 + 0o32) + chr(0b110100) + '\x32', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110111) + '\x30', 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110101) + '\x36', 11914 - 11906), nzTpIcepk0o8(chr(1556 - 1508) + chr(111) + chr(49) + chr(1811 - 1761) + chr(0b1111 + 0o50), 38118 - 38110), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + '\x31' + '\x36', 0o10), nzTpIcepk0o8(chr(48) + chr(8741 - 8630) + chr(1325 - 1276) + '\060' + chr(0b110001), 30644 - 30636), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + '\065' + chr(55), 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b111111 + 0o60) + chr(976 - 927) + '\x37' + chr(1611 - 1563), 23422 - 23414), nzTpIcepk0o8(chr(48) + '\x6f' + '\x33' + '\x31' + chr(1700 - 1652), 8), nzTpIcepk0o8(chr(1478 - 1430) + '\x6f' + chr(931 - 881) + chr(0b10011 + 0o44) + chr(0b110000 + 0o1), ord("\x08")), nzTpIcepk0o8(chr(60 - 12) + chr(0b1101111) + chr(51) + chr(53) + '\067', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + chr(0b110110) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + chr(0b101 + 0o53) + '\061', 0o10), nzTpIcepk0o8(chr(580 - 532) + chr(0b110111 + 0o70) + chr(2117 - 2067) + '\065' + '\x34', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(946 - 895) + chr(0b110000) + '\064', 0o10), nzTpIcepk0o8(chr(472 - 424) + chr(111) + chr(0b110100) + chr(51), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(175 - 64) + chr(0b1 + 0o60) + chr(0b110001 + 0o1) + chr(50), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1810 - 1761) + chr(53), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\065' + chr(1058 - 1010), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110001 + 0o1) + chr(541 - 491) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(0b101101 + 0o3) + '\x6f' + chr(51) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(1873 - 1762) + '\061' + '\x31' + chr(0b101001 + 0o15), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b11101 + 0o122) + '\x35' + chr(0b110000), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xcc'), '\x64' + '\x65' + chr(3753 - 3654) + chr(0b11101 + 0o122) + '\x64' + '\x65')(chr(117) + chr(0b1001 + 0o153) + chr(8670 - 8568) + '\055' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def m2BEcxndHm4A(hXMPsSrOQzbh, DkDiQZO1cyd2, **A_ygj0lYzeBp):
SVQ7t4ZcLQi6 = [_R8IKF5IwAfX for _R8IKF5IwAfX in iJbw0iNQ06Xw(mfNgQb_vYBmS.networkmeasures) if not _R8IKF5IwAfX.startswith(roI3spqORKae(ES5oEprVxulp(b'\xbd\x02'), chr(0b110010 + 0o62) + chr(5115 - 5014) + '\143' + chr(0b1010100 + 0o33) + chr(0b1100100) + '\145')('\x75' + '\164' + chr(6477 - 6375) + chr(0b101101) + chr(56)))]
if DkDiQZO1cyd2 not in SVQ7t4ZcLQi6:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xb73\xaao\xdc\x95\x85\xc4V5,q#U\xa3\\\xb2\n\xc3K[%+o\x8f9\xbe\xd8\x86\x9a\xe0\xce\xa8FrcM\xe2m!\x906\xe1l\xd6\x83\x98\x91J5+&-U\xadF\xff'), chr(0b1100100) + '\x65' + '\x63' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + '\x66' + chr(45) + chr(0b110000 + 0o10)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xce}'), '\x64' + '\145' + chr(2972 - 2873) + chr(0b1101111) + chr(3875 - 3775) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\xbbi\xb8L\x8a\xa0\x88\x82l\x13\x16w'), chr(100) + chr(101) + chr(0b110001 + 0o62) + chr(0b1101111) + chr(3335 - 3235) + chr(1562 - 1461))(chr(0b10001 + 0o144) + chr(4281 - 4165) + '\146' + '\x2d' + chr(56)))(SVQ7t4ZcLQi6))
EHkO5nB076wR = fqyA_Zm6qdLB.getmembers(mfNgQb_vYBmS.networkmeasures)
EHkO5nB076wR = {tF75nqoNENFL[nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1101111) + '\x30', 4025 - 4017)]: tF75nqoNENFL[nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b101000 + 0o107) + '\x31', 8)] for tF75nqoNENFL in EHkO5nB076wR if not tF75nqoNENFL[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10111 + 0o31), 8)].startswith(roI3spqORKae(ES5oEprVxulp(b'\xbd\x02'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(10490 - 10373) + '\x74' + '\x66' + chr(0b101101) + chr(0b101111 + 0o11)))}
eD5Jw5KZkmIm = EHkO5nB076wR[DkDiQZO1cyd2](hXMPsSrOQzbh, **A_ygj0lYzeBp)
return eD5Jw5KZkmIm |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.generatenetwork | def generatenetwork(self, networktype, **networkparams):
"""
Generate a network
Parameters
-----------
networktype : str
Function to call. Functions available are in teneto.generatenetwork
measureparams : kwargs
kwargs for teneto.generatenetwork.[networktype]
Returns
--------
TenetoBIDS.network is made with the generated network.
"""
availabletypes = [f for f in dir(
teneto.generatenetwork) if not f.startswith('__')]
if networktype not in availabletypes:
raise ValueError(
'Unknown network measure. Available networks to generate are: ' + ', '.join(availabletypes))
funs = inspect.getmembers(teneto.generatenetwork)
funs = {m[0]: m[1] for m in funs if not m[0].startswith('__')}
network = funs[networktype](**networkparams)
self.network_from_array(network)
if self.nettype[1] == 'u':
self._drop_duplicate_ij() | python | def generatenetwork(self, networktype, **networkparams):
"""
Generate a network
Parameters
-----------
networktype : str
Function to call. Functions available are in teneto.generatenetwork
measureparams : kwargs
kwargs for teneto.generatenetwork.[networktype]
Returns
--------
TenetoBIDS.network is made with the generated network.
"""
availabletypes = [f for f in dir(
teneto.generatenetwork) if not f.startswith('__')]
if networktype not in availabletypes:
raise ValueError(
'Unknown network measure. Available networks to generate are: ' + ', '.join(availabletypes))
funs = inspect.getmembers(teneto.generatenetwork)
funs = {m[0]: m[1] for m in funs if not m[0].startswith('__')}
network = funs[networktype](**networkparams)
self.network_from_array(network)
if self.nettype[1] == 'u':
self._drop_duplicate_ij() | [
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Parameters
-----------
networktype : str
Function to call. Functions available are in teneto.generatenetwork
measureparams : kwargs
kwargs for teneto.generatenetwork.[networktype]
Returns
--------
TenetoBIDS.network is made with the generated network. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L387-L413 | train | Generate a network from a function. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\065' + '\x34', 2753 - 2745), nzTpIcepk0o8('\x30' + chr(9044 - 8933) + '\064' + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b10 + 0o61) + '\x34' + '\x36', 0b1000), nzTpIcepk0o8('\x30' + chr(11075 - 10964) + chr(0b110011) + '\063' + '\067', 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110111) + chr(0b1 + 0o65), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1200 - 1151) + chr(53) + chr(0b10000 + 0o41), 17833 - 17825), nzTpIcepk0o8(chr(0b110000) + chr(9753 - 9642) + chr(51) + chr(827 - 779) + chr(733 - 682), 35628 - 35620), nzTpIcepk0o8('\060' + '\157' + '\x31' + chr(0b10000 + 0o45) + chr(0b110001), 8), nzTpIcepk0o8(chr(1431 - 1383) + '\x6f' + chr(51) + chr(1291 - 1239) + '\060', 16348 - 16340), nzTpIcepk0o8(chr(713 - 665) + '\157' + chr(2097 - 2047) + '\063' + '\060', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b110100) + chr(55), 8), nzTpIcepk0o8('\x30' + '\157' + '\061' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + '\x37' + chr(0b101111 + 0o5), 46571 - 46563), nzTpIcepk0o8(chr(870 - 822) + '\x6f' + chr(0b100011 + 0o17) + chr(0b100010 + 0o22) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(11474 - 11363) + chr(50) + chr(724 - 673) + chr(0b10101 + 0o40), 0o10), nzTpIcepk0o8('\060' + chr(9116 - 9005) + '\x31' + chr(0b10101 + 0o37) + chr(0b110100), 22503 - 22495), nzTpIcepk0o8(chr(992 - 944) + '\x6f' + '\x31' + chr(1868 - 1815) + '\067', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31' + chr(315 - 267) + '\065', 30973 - 30965), nzTpIcepk0o8('\x30' + chr(0b1010110 + 0o31) + chr(2419 - 2369) + '\065' + chr(0b101101 + 0o3), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + chr(53) + chr(49), 27504 - 27496), nzTpIcepk0o8(chr(1645 - 1597) + chr(0b110011 + 0o74) + '\x33', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1011010 + 0o25) + chr(0b10110 + 0o34), ord("\x08")), nzTpIcepk0o8(chr(0b100 + 0o54) + '\157' + chr(0b110011) + '\065' + chr(51), 0b1000), nzTpIcepk0o8('\x30' + chr(2922 - 2811) + chr(0b110011) + '\x33' + '\x37', 8), nzTpIcepk0o8(chr(1670 - 1622) + '\x6f' + '\066' + '\x31', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + '\064' + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(1933 - 1884) + '\x35' + chr(0b10100 + 0o41), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(9168 - 9057) + chr(0b110101) + chr(52), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1110 + 0o141) + '\x33' + chr(0b110111) + '\x33', 5455 - 5447), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(1961 - 1850) + chr(51) + chr(346 - 292) + chr(2313 - 2263), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(433 - 384) + chr(53) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x35' + chr(0b0 + 0o63), 24181 - 24173), nzTpIcepk0o8(chr(930 - 882) + chr(0b11000 + 0o127) + '\x32' + chr(0b110010) + '\063', 9148 - 9140), nzTpIcepk0o8(chr(0b110000) + chr(0b1100111 + 0o10) + chr(1278 - 1228) + chr(1330 - 1280) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(111) + chr(0b110010) + '\064' + chr(49), 8), nzTpIcepk0o8('\x30' + chr(1588 - 1477) + '\066' + chr(0b110010), 0o10), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1101111) + chr(199 - 150) + chr(0b110010) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\062' + chr(0b111 + 0o55) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + chr(48) + chr(0b11010 + 0o33), 0o10), nzTpIcepk0o8(chr(1621 - 1573) + '\x6f' + chr(0b110001) + chr(53) + chr(0b110111), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(111) + '\x35' + chr(0b110000), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x02'), '\144' + chr(0b100101 + 0o100) + '\143' + chr(12283 - 12172) + chr(3987 - 3887) + chr(0b100110 + 0o77))('\x75' + chr(116) + '\x66' + '\055' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def DPAzrjrcr3_u(hXMPsSrOQzbh, vY4yvO3pJaEK, **cNNhcRRTt1_c):
aH7ZE4KyIB3i = [_R8IKF5IwAfX for _R8IKF5IwAfX in iJbw0iNQ06Xw(mfNgQb_vYBmS.generatenetwork) if not _R8IKF5IwAfX.startswith(roI3spqORKae(ES5oEprVxulp(b'sx'), '\144' + chr(2500 - 2399) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(2133 - 2017) + '\146' + '\055' + chr(0b100110 + 0o22)))]
if vY4yvO3pJaEK not in aH7ZE4KyIB3i:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'yI\x8d\xb1Q\x1e\xadI\x8e\xfdS}\x13\xd3\xf6D\x02 \xc9\x9avp\x8e\xf1\x11\xa6\x1bM\x92\x9e\tI\xff\xf7\x81\\0\xd7\xf2\x00^L\x95\xffJ\x06\xe3\x0e\x85\xf6Bx\x1d\xd5\xf8D\x0e7\xcd\xd3#'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(8984 - 8873) + chr(2706 - 2606) + chr(0b10111 + 0o116))(chr(9912 - 9795) + chr(7253 - 7137) + '\146' + '\055' + '\070') + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\x00\x07'), chr(0b1100100) + '\x65' + chr(0b11101 + 0o106) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(8422 - 8305) + chr(0b1101000 + 0o14) + '\x66' + '\x2d' + chr(132 - 76)), roI3spqORKae(ES5oEprVxulp(b'u\x13\x9f\x92\x07+\xa0\x0f\xb4\xdbi{'), chr(978 - 878) + chr(0b110100 + 0o61) + chr(99) + '\157' + '\144' + chr(0b1001 + 0o134))(chr(0b1100 + 0o151) + '\164' + '\x66' + chr(45) + chr(56)))(aH7ZE4KyIB3i))
EHkO5nB076wR = fqyA_Zm6qdLB.getmembers(mfNgQb_vYBmS.generatenetwork)
EHkO5nB076wR = {tF75nqoNENFL[nzTpIcepk0o8(chr(0b10001 + 0o37) + '\x6f' + chr(0b110000), 63068 - 63060)]: tF75nqoNENFL[nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31', 25087 - 25079)] for tF75nqoNENFL in EHkO5nB076wR if not tF75nqoNENFL[nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)].startswith(roI3spqORKae(ES5oEprVxulp(b'sx'), chr(0b1100100) + chr(101) + chr(99) + chr(0b11001 + 0o126) + chr(100) + chr(101))(chr(8246 - 8129) + chr(0b1100010 + 0o22) + chr(6398 - 6296) + chr(272 - 227) + chr(2594 - 2538)))}
IQ9EiAxcHPfV = EHkO5nB076wR[vY4yvO3pJaEK](**cNNhcRRTt1_c)
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'BB\x92\xa8Q\x1b\xa86\x86\xeaHg#\xc0\xef\x16\x0e<'), chr(4982 - 4882) + '\x65' + chr(0b1100011) + chr(795 - 684) + '\144' + chr(101))('\165' + '\x74' + chr(3900 - 3798) + '\055' + '\070'))(IQ9EiAxcHPfV)
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'BB\x92\xabG\x19\xa6'), chr(100) + '\x65' + chr(0b1100011) + chr(2838 - 2727) + '\x64' + '\145')(chr(0b11 + 0o162) + '\164' + chr(102) + '\055' + chr(1293 - 1237)))[nzTpIcepk0o8(chr(1723 - 1675) + chr(111) + '\061', 8)] == roI3spqORKae(ES5oEprVxulp(b'Y'), '\144' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b101100 + 0o70) + chr(0b1010011 + 0o22))(chr(0b1110101) + '\x74' + '\146' + chr(1367 - 1322) + '\x38'):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'sC\x94\xb0N6\xa7\x1c\x90\xf4Ni\x1d\xd5\xf8;\x06/'), chr(0b1100100) + chr(5981 - 5880) + chr(0b1100011) + chr(3704 - 3593) + chr(4884 - 4784) + chr(1599 - 1498))(chr(1687 - 1570) + '\164' + chr(467 - 365) + chr(45) + '\070'))() |
wiheto/teneto | teneto/classes/network.py | TemporalNetwork.save_aspickle | def save_aspickle(self, fname):
"""
Saves object as pickle.
fname : str
file path.
"""
if fname[-4:] != '.pkl':
fname += '.pkl'
with open(fname, 'wb') as f:
pickle.dump(self, f, pickle.HIGHEST_PROTOCOL) | python | def save_aspickle(self, fname):
"""
Saves object as pickle.
fname : str
file path.
"""
if fname[-4:] != '.pkl':
fname += '.pkl'
with open(fname, 'wb') as f:
pickle.dump(self, f, pickle.HIGHEST_PROTOCOL) | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/network.py#L441-L451 | train | Saves object as pickle. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(570 - 522) + '\x6f' + '\x33' + chr(48) + chr(0b111 + 0o60), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(48) + '\063', 0b1000), nzTpIcepk0o8(chr(1583 - 1535) + '\x6f' + '\x32' + '\064' + chr(0b11101 + 0o26), 0o10), nzTpIcepk0o8(chr(567 - 519) + chr(0b1101001 + 0o6) + chr(0b110001) + '\x37' + chr(222 - 171), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(806 - 758) + '\x30', 0b1000), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(6082 - 5971) + chr(706 - 657) + '\x36' + '\067', 0o10), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b100001 + 0o116) + chr(0b110010) + chr(0b110001) + chr(2318 - 2268), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2099 - 2049) + chr(52) + chr(0b10110 + 0o40), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + chr(53) + chr(1073 - 1022), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1001111 + 0o40) + '\067', 0b1000), nzTpIcepk0o8(chr(48) + chr(11576 - 11465) + chr(2354 - 2304) + '\061' + '\x37', 42804 - 42796), nzTpIcepk0o8('\x30' + chr(0b100101 + 0o112) + '\062' + '\067' + '\x32', 28523 - 28515), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(0b11011 + 0o25) + '\x31', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2271 - 2220) + chr(51) + chr(0b0 + 0o66), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(310 - 259) + '\060' + chr(0b110001), 8), nzTpIcepk0o8(chr(384 - 336) + '\x6f' + chr(543 - 494) + '\063', 25718 - 25710), nzTpIcepk0o8('\060' + '\x6f' + chr(1106 - 1055) + '\x37' + chr(296 - 246), 0o10), nzTpIcepk0o8('\x30' + chr(3210 - 3099) + chr(0b11110 + 0o25) + chr(0b1100 + 0o47) + chr(0b110000 + 0o0), 47818 - 47810), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110011) + chr(668 - 620) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(864 - 816) + chr(111) + chr(1194 - 1139) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(1471 - 1423) + chr(0b11110 + 0o121) + chr(2175 - 2124) + chr(0b110100) + chr(2209 - 2154), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31' + '\063' + '\066', 36802 - 36794), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + chr(0b101 + 0o56) + chr(1186 - 1138), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(52) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(816 - 765) + chr(0b110010) + chr(52), 0b1000), nzTpIcepk0o8('\x30' + chr(6369 - 6258) + chr(0b110011) + '\x31' + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(250 - 201) + chr(0b110000 + 0o5), 0b1000), nzTpIcepk0o8('\x30' + chr(0b110001 + 0o76) + '\061' + '\x30' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(1458 - 1410) + chr(0b1101111) + '\x31' + chr(48) + chr(49), 49432 - 49424), nzTpIcepk0o8('\x30' + '\x6f' + '\x32' + chr(0b100000 + 0o25) + chr(2366 - 2317), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b10 + 0o62) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(111) + '\x31' + '\x30' + '\x37', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\x32' + chr(0b10100 + 0o37) + '\x33', 13138 - 13130), nzTpIcepk0o8(chr(834 - 786) + chr(111) + '\x35' + '\067', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1589 - 1539) + chr(2145 - 2090) + chr(0b100000 + 0o21), 5950 - 5942), nzTpIcepk0o8(chr(48) + '\157' + chr(0b1010 + 0o51) + chr(54) + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\x6f' + '\x32' + '\x35' + chr(0b110011), 8), nzTpIcepk0o8(chr(1170 - 1122) + chr(0b1101111) + chr(0b110001) + chr(0b1000 + 0o51), 33583 - 33575), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b10000 + 0o41) + chr(0b110001) + chr(0b1101 + 0o52), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\061' + chr(0b110001) + chr(660 - 606), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + chr(53) + chr(0b101011 + 0o5), 40195 - 40187)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe9'), '\x64' + chr(0b101011 + 0o72) + chr(0b1100011) + chr(0b1101111) + chr(1567 - 1467) + chr(101))(chr(0b1110000 + 0o5) + '\164' + chr(0b1100110) + chr(1973 - 1928) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def b5PfwE8slfQt(hXMPsSrOQzbh, jXqxEQuu_5DD):
if jXqxEQuu_5DD[-nzTpIcepk0o8(chr(874 - 826) + '\157' + '\x34', 9084 - 9076):] != roI3spqORKae(ES5oEprVxulp(b'\xe93\xc8\x17'), '\x64' + chr(0b111100 + 0o51) + chr(472 - 373) + chr(10195 - 10084) + chr(0b1100100) + '\145')(chr(117) + chr(0b10001 + 0o143) + chr(9145 - 9043) + '\055' + chr(2264 - 2208)):
jXqxEQuu_5DD += roI3spqORKae(ES5oEprVxulp(b'\xe93\xc8\x17'), chr(0b100010 + 0o102) + chr(101) + chr(0b1010001 + 0o22) + chr(0b1101111) + chr(5223 - 5123) + chr(101))(chr(0b1011110 + 0o27) + '\x74' + '\146' + '\x2d' + chr(0b111000))
with DnU3Rq9N5ala(jXqxEQuu_5DD, roI3spqORKae(ES5oEprVxulp(b'\xb0!'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(101))('\x75' + chr(0b1101001 + 0o13) + chr(0b1011000 + 0o16) + chr(45) + chr(56))) as _R8IKF5IwAfX:
roI3spqORKae(crHBwl6R77Za, roI3spqORKae(ES5oEprVxulp(b'\xa36\xce\x0b'), '\144' + '\x65' + chr(0b1010011 + 0o20) + chr(111) + chr(0b1100100) + chr(9561 - 9460))('\x75' + '\x74' + chr(9701 - 9599) + chr(0b1000 + 0o45) + '\x38'))(hXMPsSrOQzbh, _R8IKF5IwAfX, roI3spqORKae(crHBwl6R77Za, roI3spqORKae(ES5oEprVxulp(b'\x8f\n\xe43\x85$\xde\xf9\xfbU\xc0\xee\x8e\x9d\x8eG'), chr(100) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(0b1000110 + 0o37))(chr(0b1000100 + 0o61) + '\x74' + chr(102) + chr(0b101101) + chr(0b10 + 0o66)))) |
wiheto/teneto | teneto/timeseries/postprocess.py | postpro_fisher | def postpro_fisher(data, report=None):
"""
Performs fisher transform on everything in data.
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# Due to rounding errors
data[data < -0.99999999999999] = -1
data[data > 0.99999999999999] = 1
fisher_data = 0.5 * np.log((1 + data) / (1 - data))
report['fisher'] = {}
report['fisher']['performed'] = 'yes'
#report['fisher']['diagonal'] = 'zeroed'
return fisher_data, report | python | def postpro_fisher(data, report=None):
"""
Performs fisher transform on everything in data.
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# Due to rounding errors
data[data < -0.99999999999999] = -1
data[data > 0.99999999999999] = 1
fisher_data = 0.5 * np.log((1 + data) / (1 - data))
report['fisher'] = {}
report['fisher']['performed'] = 'yes'
#report['fisher']['diagonal'] = 'zeroed'
return fisher_data, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/postprocess.py#L10-L25 | train | Performs fisher transform on everything in data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(2177 - 2126) + chr(48), 37346 - 37338), nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(0b10110 + 0o131) + chr(1304 - 1254) + chr(1510 - 1459) + '\062', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110101) + '\060', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(11235 - 11124) + '\x31' + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o44) + chr(54) + chr(1973 - 1925), 0b1000), nzTpIcepk0o8(chr(562 - 514) + '\157' + chr(911 - 862) + chr(2443 - 2391), 18590 - 18582), nzTpIcepk0o8(chr(48) + chr(0b1011001 + 0o26) + '\x32' + chr(2540 - 2488) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(268 - 220) + chr(0b1001 + 0o146) + '\x33' + chr(2220 - 2168) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1100010 + 0o15) + chr(1962 - 1911) + chr(1099 - 1051) + chr(53), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(53) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(4123 - 4012) + chr(2016 - 1967) + chr(51) + chr(979 - 924), 19483 - 19475), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x33' + chr(948 - 895) + chr(0b101110 + 0o4), 55426 - 55418), nzTpIcepk0o8('\x30' + '\157' + chr(0b110001) + '\067' + chr(0b110111), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(386 - 336) + chr(306 - 256) + '\060', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101100 + 0o3) + chr(0b110001 + 0o1) + chr(0b101100 + 0o4) + chr(2257 - 2204), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b101011 + 0o7) + chr(49) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(1876 - 1828) + chr(111) + '\x33' + chr(0b101101 + 0o4) + chr(0b110000 + 0o1), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110111) + chr(0b110100), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110101) + chr(1504 - 1454), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(810 - 760) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + chr(55) + chr(0b110101), 24617 - 24609), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(51) + '\067' + '\x37', 52274 - 52266), nzTpIcepk0o8(chr(48) + chr(111) + chr(609 - 559) + chr(54) + chr(1670 - 1616), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b1111 + 0o43) + '\063' + chr(0b100100 + 0o22), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(0b110101) + chr(0b1110 + 0o47), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1000001 + 0o56) + chr(0b10010 + 0o37) + '\x30' + '\064', 3532 - 3524), nzTpIcepk0o8(chr(1163 - 1115) + '\x6f' + chr(1536 - 1487) + chr(0b110011) + '\064', 0o10), nzTpIcepk0o8(chr(773 - 725) + chr(111) + chr(655 - 602) + '\067', 0o10), nzTpIcepk0o8(chr(1659 - 1611) + '\x6f' + '\062' + chr(1511 - 1458) + '\067', 20220 - 20212), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + '\x30' + '\061', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(0b11111 + 0o21) + '\064', 0b1000), nzTpIcepk0o8(chr(2168 - 2120) + '\x6f' + '\x33' + chr(49) + '\x37', 41704 - 41696), nzTpIcepk0o8(chr(0b0 + 0o60) + '\157' + chr(927 - 877) + chr(0b110101) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b10 + 0o155) + chr(0b101111 + 0o4), 9972 - 9964), nzTpIcepk0o8('\x30' + '\157' + chr(0b110001) + chr(53) + chr(52), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(0b100001 + 0o20) + '\x35', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b1101 + 0o44) + chr(53) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b10 + 0o61) + chr(0b110111) + chr(2582 - 2528), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + chr(0b101010 + 0o7) + chr(1336 - 1281), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + chr(1873 - 1822) + chr(0b11000 + 0o35), 57312 - 57304)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(0b101000 + 0o107) + chr(481 - 428) + chr(48), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb6'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(5675 - 5575) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + '\055' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def d_JXHXtHjXEX(FfKOThdpoDTb, v850snntN8PO=None):
if not v850snntN8PO:
v850snntN8PO = {}
FfKOThdpoDTb[FfKOThdpoDTb < -0.99999999999999] = -nzTpIcepk0o8('\x30' + chr(111) + chr(1448 - 1399), ord("\x08"))
FfKOThdpoDTb[FfKOThdpoDTb > 0.99999999999999] = nzTpIcepk0o8(chr(48) + chr(480 - 369) + '\x31', 8)
xQtCjB_PbhmP = 0.5 * nDF4gVNx0u9Q.lmiGj7TonZgV((nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100101 + 0o14), 8) + FfKOThdpoDTb) / (nzTpIcepk0o8(chr(0b110000) + chr(0b1010011 + 0o34) + chr(0b110001), 8) - FfKOThdpoDTb))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xfe\xf3[e\x15~'), '\x64' + chr(101) + '\143' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1001101 + 0o50) + '\164' + chr(0b1100110) + chr(0b1 + 0o54) + '\x38')] = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xfe\xf3[e\x15~'), '\144' + '\145' + chr(0b110000 + 0o63) + chr(0b1101111) + '\144' + chr(0b110110 + 0o57))(chr(6489 - 6372) + chr(981 - 865) + '\146' + chr(45) + chr(56))][roI3spqORKae(ES5oEprVxulp(b'\xe8\xffZk\x1f~\xcc\x81\xa1'), '\144' + '\x65' + chr(99) + '\x6f' + chr(0b1000101 + 0o37) + '\145')(chr(117) + chr(1876 - 1760) + chr(0b1100 + 0o132) + chr(0b101101) + chr(0b100100 + 0o24))] = roI3spqORKae(ES5oEprVxulp(b'\xe1\xff['), chr(100) + chr(101) + '\x63' + chr(7119 - 7008) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b100001 + 0o27))
return (xQtCjB_PbhmP, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/postprocess.py | postpro_boxcox | def postpro_boxcox(data, report=None):
"""
Performs box cox transform on everything in data.
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# Note the min value of all time series will now be at least 1.
mindata = 1 - np.nanmin(data)
data = data + mindata
ind = np.triu_indices(data.shape[0], k=1)
boxcox_list = np.array([sp.stats.boxcox(np.squeeze(
data[ind[0][n], ind[1][n], :])) for n in range(0, len(ind[0]))])
boxcox_data = np.zeros(data.shape)
boxcox_data[ind[0], ind[1], :] = np.vstack(boxcox_list[:, 0])
boxcox_data[ind[1], ind[0], :] = np.vstack(boxcox_list[:, 0])
bccheck = np.array(np.transpose(boxcox_data, [2, 0, 1]))
bccheck = (bccheck - bccheck.mean(axis=0)) / bccheck.std(axis=0)
bccheck = np.squeeze(np.mean(bccheck, axis=0))
np.fill_diagonal(bccheck, 0)
report['boxcox'] = {}
report['boxcox']['performed'] = 'yes'
report['boxcox']['lambda'] = [
tuple([ind[0][n], ind[1][n], boxcox_list[n, -1]]) for n in range(0, len(ind[0]))]
report['boxcox']['shift'] = mindata
report['boxcox']['shited_to'] = 1
if np.sum(np.isnan(bccheck)) > 0:
report['boxcox'] = {}
report['boxcox']['performed'] = 'FAILED'
report['boxcox']['failure_reason'] = (
'Box cox transform is returning edges with uniform values through time. '
'This is probabaly due to one or more outliers or a very skewed distribution. '
'Have you corrected for sources of noise (e.g. movement)? '
'If yes, some time-series might need additional transforms to approximate to Gaussian.'
)
report['boxcox']['failure_consequence'] = (
'Box cox transform was skipped from the postprocess pipeline.'
)
boxcox_data = data - mindata
error_msg = ('TENETO WARNING: Box Cox transform problem. \n'
'Box Cox transform not performed. \n'
'See report for more details.')
print(error_msg)
return boxcox_data, report | python | def postpro_boxcox(data, report=None):
"""
Performs box cox transform on everything in data.
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# Note the min value of all time series will now be at least 1.
mindata = 1 - np.nanmin(data)
data = data + mindata
ind = np.triu_indices(data.shape[0], k=1)
boxcox_list = np.array([sp.stats.boxcox(np.squeeze(
data[ind[0][n], ind[1][n], :])) for n in range(0, len(ind[0]))])
boxcox_data = np.zeros(data.shape)
boxcox_data[ind[0], ind[1], :] = np.vstack(boxcox_list[:, 0])
boxcox_data[ind[1], ind[0], :] = np.vstack(boxcox_list[:, 0])
bccheck = np.array(np.transpose(boxcox_data, [2, 0, 1]))
bccheck = (bccheck - bccheck.mean(axis=0)) / bccheck.std(axis=0)
bccheck = np.squeeze(np.mean(bccheck, axis=0))
np.fill_diagonal(bccheck, 0)
report['boxcox'] = {}
report['boxcox']['performed'] = 'yes'
report['boxcox']['lambda'] = [
tuple([ind[0][n], ind[1][n], boxcox_list[n, -1]]) for n in range(0, len(ind[0]))]
report['boxcox']['shift'] = mindata
report['boxcox']['shited_to'] = 1
if np.sum(np.isnan(bccheck)) > 0:
report['boxcox'] = {}
report['boxcox']['performed'] = 'FAILED'
report['boxcox']['failure_reason'] = (
'Box cox transform is returning edges with uniform values through time. '
'This is probabaly due to one or more outliers or a very skewed distribution. '
'Have you corrected for sources of noise (e.g. movement)? '
'If yes, some time-series might need additional transforms to approximate to Gaussian.'
)
report['boxcox']['failure_consequence'] = (
'Box cox transform was skipped from the postprocess pipeline.'
)
boxcox_data = data - mindata
error_msg = ('TENETO WARNING: Box Cox transform problem. \n'
'Box Cox transform not performed. \n'
'See report for more details.')
print(error_msg)
return boxcox_data, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/postprocess.py#L28-L78 | train | Performs box cox transform on everything in data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b110 + 0o151) + chr(0b101110 + 0o3) + chr(0b10110 + 0o40) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b11010 + 0o125) + chr(1736 - 1686) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + chr(1470 - 1422) + '\060', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(1351 - 1301) + chr(53), 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1101111) + '\x34' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100 + 0o57) + chr(653 - 603) + chr(48), 63068 - 63060), nzTpIcepk0o8(chr(48) + chr(7668 - 7557) + '\x32' + chr(782 - 734) + chr(49), 0b1000), nzTpIcepk0o8(chr(2216 - 2168) + chr(0b1101111) + chr(50) + chr(0b1110 + 0o43) + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1359 - 1309) + chr(0b101000 + 0o17) + '\x37', 0o10), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(6386 - 6275) + chr(0b110110) + chr(1902 - 1849), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2054 - 2004) + '\066' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(2110 - 1999) + chr(972 - 921) + chr(0b110100) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + '\x30' + '\x33', 0o10), nzTpIcepk0o8(chr(1312 - 1264) + chr(8314 - 8203) + chr(0b101101 + 0o7) + '\066', 0b1000), nzTpIcepk0o8(chr(831 - 783) + chr(111) + chr(50) + chr(53) + chr(0b11000 + 0o31), 0b1000), nzTpIcepk0o8(chr(0b100011 + 0o15) + '\x6f' + '\x36' + chr(2280 - 2229), 0b1000), nzTpIcepk0o8(chr(614 - 566) + chr(0b1010100 + 0o33) + chr(0b110011) + '\x30' + '\x31', 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + '\157' + chr(0b110010) + chr(48) + chr(50), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + '\061' + chr(0b110001), 17951 - 17943), nzTpIcepk0o8(chr(0b11111 + 0o21) + '\x6f' + '\x31' + '\x37' + chr(0b10100 + 0o36), 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(111) + '\x31' + chr(49) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(4747 - 4636) + chr(49) + '\x32' + chr(0b10011 + 0o44), 55479 - 55471), nzTpIcepk0o8('\060' + chr(9201 - 9090) + chr(0b110001) + chr(905 - 856) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(1517 - 1406) + chr(51) + chr(335 - 285) + '\x31', 34717 - 34709), nzTpIcepk0o8(chr(1154 - 1106) + chr(0b1010010 + 0o35) + '\x32' + chr(53) + chr(0b11110 + 0o30), 13414 - 13406), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + chr(0b110010) + chr(52) + '\062', 15567 - 15559), nzTpIcepk0o8('\x30' + chr(0b1101111 + 0o0) + chr(430 - 381) + chr(597 - 546) + chr(51), 47252 - 47244), nzTpIcepk0o8('\060' + '\157' + '\062' + chr(53) + chr(54), 8), nzTpIcepk0o8('\060' + chr(111) + '\062' + chr(966 - 913) + '\x31', 8), nzTpIcepk0o8(chr(0b110000) + '\157' + '\064', 0b1000), nzTpIcepk0o8(chr(48) + chr(499 - 388) + '\x32' + chr(0b1110 + 0o50) + '\x35', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + '\x33' + chr(0b110000) + '\x33', 8), nzTpIcepk0o8(chr(48) + chr(7476 - 7365) + chr(0b110101) + chr(51), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1824 - 1774) + chr(48) + chr(0b1011 + 0o52), 27846 - 27838), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110010) + chr(48) + chr(938 - 888), 8), nzTpIcepk0o8('\060' + chr(0b1001000 + 0o47) + chr(0b110101) + chr(53), 44361 - 44353), nzTpIcepk0o8(chr(1436 - 1388) + '\x6f' + chr(0b10001 + 0o40) + chr(0b11100 + 0o25) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(0b101 + 0o53) + chr(9004 - 8893) + '\066' + '\066', 0o10), nzTpIcepk0o8('\x30' + chr(0b100011 + 0o114) + chr(50) + chr(0b110111) + chr(49), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1 + 0o156) + chr(0b110011) + chr(0b10000 + 0o45) + chr(0b110111), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\157' + chr(53) + chr(0b110000), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'^'), chr(4061 - 3961) + chr(0b1100101) + chr(2006 - 1907) + chr(0b1011111 + 0o20) + chr(0b1100100) + '\x65')(chr(10620 - 10503) + chr(116) + chr(102) + chr(45) + chr(2718 - 2662)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def BMCyjC9Exv_s(FfKOThdpoDTb, v850snntN8PO=None):
if not v850snntN8PO:
v850snntN8PO = {}
Ybtm1dnPfSW2 = nzTpIcepk0o8('\x30' + chr(111) + '\x31', 0b1000) - nDF4gVNx0u9Q.nanmin(FfKOThdpoDTb)
FfKOThdpoDTb = FfKOThdpoDTb + Ybtm1dnPfSW2
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8('\060' + chr(0b100110 + 0o111) + chr(1711 - 1663), 0b1000)], k=nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b10100 + 0o35), 8))
dspGm0mccnYo = nDF4gVNx0u9Q.Tn6rGr7XTM7t([JprLHFcL8aB0.stats.boxcox(nDF4gVNx0u9Q.squeeze(FfKOThdpoDTb[w5vcgUzFN3bF[nzTpIcepk0o8(chr(1617 - 1569) + chr(5326 - 5215) + chr(0b100110 + 0o12), 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8('\x30' + chr(111) + chr(49), 8)][NoZxuO7wjArS], :])) for NoZxuO7wjArS in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + chr(48), 8), ftfygxgFas5X(w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + '\x6f' + '\x30', 8)]))])
bYJN9VNQL41O = nDF4gVNx0u9Q.UmwwEp7MzR6q(FfKOThdpoDTb.lhbM092AFW8f)
bYJN9VNQL41O[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b100100 + 0o14) + '\157' + chr(48), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(0b0 + 0o157) + chr(49), 8)], :] = nDF4gVNx0u9Q.vstack(dspGm0mccnYo[:, nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000), 8)])
bYJN9VNQL41O[w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + '\157' + chr(49), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(808 - 697) + '\x30', 8)], :] = nDF4gVNx0u9Q.vstack(dspGm0mccnYo[:, nzTpIcepk0o8(chr(0b110000) + chr(5467 - 5356) + chr(0b110000), 8)])
uGKImZfeDlZw = nDF4gVNx0u9Q.Tn6rGr7XTM7t(nDF4gVNx0u9Q.transpose(bYJN9VNQL41O, [nzTpIcepk0o8(chr(48) + chr(111) + chr(0b11011 + 0o27), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(48), 8), nzTpIcepk0o8(chr(0b110000) + chr(10616 - 10505) + chr(52 - 3), 8)]))
uGKImZfeDlZw = (uGKImZfeDlZw - uGKImZfeDlZw.JE1frtxECu3x(axis=nzTpIcepk0o8('\x30' + chr(111) + '\x30', 8))) / uGKImZfeDlZw.AFfTx5xLlh3B(axis=nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(0b110010 + 0o75) + chr(0b110000), 8))
uGKImZfeDlZw = nDF4gVNx0u9Q.squeeze(nDF4gVNx0u9Q.JE1frtxECu3x(uGKImZfeDlZw, axis=nzTpIcepk0o8('\060' + '\x6f' + '\x30', 8)))
roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x16z\xac9~\xb4\xe8\xec\xd8Z\xdc\x80\xaf'), '\x64' + chr(0b100111 + 0o76) + chr(0b1100011) + '\157' + chr(0b1011 + 0o131) + chr(0b1011 + 0o132))(chr(8012 - 7895) + chr(0b1110100) + chr(1923 - 1821) + '\x2d' + '\x38'))(uGKImZfeDlZw, nzTpIcepk0o8('\060' + chr(5484 - 5373) + chr(0b100 + 0o54), 8))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), '\144' + '\145' + chr(0b1011100 + 0o7) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\164' + chr(4206 - 4104) + chr(0b101101) + chr(205 - 149))] = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(0b1100100) + chr(9371 - 9270) + '\x63' + chr(8635 - 8524) + chr(7017 - 6917) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(411 - 366) + '\x38')][roI3spqORKae(ES5oEprVxulp(b'\x00v\xb23N\xa2\xec\xe8\xdb'), chr(100) + '\x65' + '\143' + chr(111) + chr(100) + chr(101))(chr(13545 - 13428) + chr(116) + chr(0b1010001 + 0o25) + chr(45) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'\tv\xb3'), chr(9687 - 9587) + '\145' + '\x63' + chr(111) + chr(7427 - 7327) + chr(8032 - 7931))(chr(3696 - 3579) + chr(10492 - 10376) + chr(102) + chr(45) + '\x38')
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), '\x64' + '\145' + '\x63' + '\157' + chr(100) + '\x65')(chr(12804 - 12687) + '\164' + chr(102) + '\x2d' + '\070')][roI3spqORKae(ES5oEprVxulp(b'\x1cr\xad7E\xb1'), chr(0b1100100) + chr(0b11010 + 0o113) + chr(99) + chr(111) + '\144' + chr(0b10010 + 0o123))(chr(4810 - 4693) + chr(0b1101100 + 0o10) + chr(0b10001 + 0o125) + '\055' + chr(56))] = [nfNqtJL5aRaY([w5vcgUzFN3bF[nzTpIcepk0o8(chr(241 - 193) + chr(8738 - 8627) + chr(0b110000), 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(2211 - 2163) + '\157' + '\x31', 8)][NoZxuO7wjArS], dspGm0mccnYo[NoZxuO7wjArS, -nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49), 8)]]) for NoZxuO7wjArS in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\060', 8), ftfygxgFas5X(w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b100100 + 0o14) + '\157' + chr(0b110000), 8)]))]
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(0b1001110 + 0o26) + chr(0b110101 + 0o60) + chr(0b1100011) + chr(0b1011111 + 0o20) + chr(0b1100100) + chr(0b1100101))(chr(5821 - 5704) + chr(0b111010 + 0o72) + '\x66' + chr(45) + chr(1598 - 1542))][roI3spqORKae(ES5oEprVxulp(b'\x03{\xa93U'), chr(100) + chr(5241 - 5140) + chr(0b1100011) + chr(0b1101111) + chr(8261 - 8161) + chr(0b1100101))(chr(0b1001110 + 0o47) + chr(0b1110100) + chr(0b1000110 + 0o40) + chr(0b11101 + 0o20) + chr(2001 - 1945))] = Ybtm1dnPfSW2
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(100) + '\145' + '\x63' + '\x6f' + chr(4216 - 4116) + chr(1396 - 1295))(chr(0b1110101) + '\164' + '\146' + chr(0b1000 + 0o45) + chr(0b11111 + 0o31))][roI3spqORKae(ES5oEprVxulp(b'\x03{\xa9!D\xb4\xde\xf9\xd0'), '\x64' + chr(5758 - 5657) + chr(99) + chr(0b100101 + 0o112) + chr(0b110101 + 0o57) + chr(101))(chr(0b1101001 + 0o14) + '\x74' + chr(102) + chr(0b101101) + chr(0b100010 + 0o26))] = nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001), 8)
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x1fp\xac\x16\x19\x94\xcd\xe7\xfej\xde\xb7'), '\x64' + chr(101) + chr(0b10000 + 0o123) + chr(0b1110 + 0o141) + chr(0b1110 + 0o126) + chr(838 - 737))('\165' + '\164' + chr(0b1100110) + chr(45) + '\x38'))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x07"\xb1eu\xa7\xf5\xcc\xebd\x84\xb9'), chr(0b1010001 + 0o23) + '\145' + '\143' + chr(0b1100111 + 0o10) + chr(0b1000100 + 0o40) + '\145')(chr(117) + chr(5190 - 5074) + chr(102) + chr(0b10111 + 0o26) + chr(0b100111 + 0o21)))(uGKImZfeDlZw)) > nzTpIcepk0o8('\060' + chr(111) + '\x30', 8):
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(0b10 + 0o142) + '\x65' + chr(0b1100001 + 0o2) + '\157' + chr(0b11010 + 0o112) + '\145')(chr(0b1011111 + 0o26) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000))] = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(0b1001101 + 0o27) + chr(101) + '\143' + '\157' + chr(100) + chr(0b10111 + 0o116))(chr(0b1110101 + 0o0) + '\x74' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(56))][roI3spqORKae(ES5oEprVxulp(b'\x00v\xb23N\xa2\xec\xe8\xdb'), '\144' + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b100100 + 0o101))(chr(0b1110101) + chr(116) + chr(102) + chr(1582 - 1537) + chr(634 - 578))] = roI3spqORKae(ES5oEprVxulp(b'6R\x89\x19d\x94'), '\144' + '\x65' + chr(0b100001 + 0o102) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(3121 - 3004) + chr(0b1011 + 0o151) + chr(0b1100110) + '\055' + chr(56))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(0b1100100) + chr(0b1100101) + chr(0b10101 + 0o116) + chr(444 - 333) + '\x64' + chr(101))(chr(0b1101111 + 0o6) + '\164' + '\146' + chr(0b101 + 0o50) + '\070')][roI3spqORKae(ES5oEprVxulp(b'\x16r\xa99T\xa2\xe4\xd2\xcdP\xd3\x92\xacH'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(0b1 + 0o144))(chr(0b111101 + 0o70) + chr(116) + '\146' + chr(45) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'2|\xb8uB\xbf\xf9\xad\xcbG\xd3\x8f\xb0@\xc6A\xac\xa2\xa0\tj%,\xa5\xdb\xd05\xc7\xc7c\x95\xa6O\xe2\xe7^lA\xd0\x9b\x183\xb5;H\xb6\xee\xff\xd2\x15\xc4\x80\xafS\xcc@\xe1\xf6\xa1\x08%".\xb9\x8e\xd62\xc3\xcc*\x95\x97C\xec\xf1\r%E\x99\x9f\x02|\xa24C\xb1\xed\xf4\x9fQ\xc7\x84\xe3R\xc6\x13\xae\xec\xacZ%%i\xbc\xc1\xd0>\x8e\xc6q\xc1\xafB\xe0\xf0^lY\xcb\xcf\x113\xb60S\xa9\xa1\xfe\xd4P\xc5\x84\xa7\x06\xcdZ\xb2\xf6\xbb\x13("=\xb8\xc1\xccu\x8e\xe1e\xc3\xa6\x0b\xfc\xedXlU\xd6\x9d\x02v\xa3!D\xb4\xa1\xeb\xd0G\x92\x92\xacS\xdbP\xa4\xf1\xe9\x15,w\'\xbe\xc7\xd1>\x8e\x81a\x9b\xa4\x05\xa5\xefB:S\xd4\x8a\x1eg\xe9j\x01\x99\xe7\xad\xc6P\xc1\xcd\xe3U\xc6^\xa4\xa2\xbd\x13\'2d\xa2\xcb\xd02\xcb\xda$\xd8\xaaL\xed\xf6\r"S\xdc\x8bPr\xa41H\xa4\xe8\xe2\xd1T\xde\xc1\xb7T\xc8]\xb2\xe4\xa6\x08\'$i\xa5\xc1\x82:\xde\xd9v\xda\xbbB\xe8\xe3Y)\x16\xcd\x80PT\xa1 R\xa3\xe8\xec\xd1\x1b'), chr(100) + chr(0b111111 + 0o46) + chr(0b110101 + 0o56) + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + chr(102) + chr(0b10 + 0o53) + '\070')
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x12|\xb86N\xa8'), chr(1595 - 1495) + chr(0b1100101) + '\143' + chr(111) + chr(0b110111 + 0o55) + chr(9590 - 9489))(chr(2870 - 2753) + chr(0b1110100) + chr(0b1100110) + chr(1589 - 1544) + chr(0b111000))][roI3spqORKae(ES5oEprVxulp(b'\x16r\xa99T\xa2\xe4\xd2\xdcZ\xdc\x92\xa6W\xdcV\xaf\xe1\xac'), chr(4379 - 4279) + '\x65' + chr(3003 - 2904) + '\157' + chr(1556 - 1456) + chr(101))(chr(0b1110101) + chr(0b1011111 + 0o25) + chr(0b1100110) + chr(45) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'2|\xb8uB\xbf\xf9\xad\xcbG\xd3\x8f\xb0@\xc6A\xac\xa2\xbe\x1b9w:\xba\xc7\xd2+\xcb\xcd$\xd3\xb1D\xe8\xa2Y$S\x99\x9f\x1f`\xb4%S\xbf\xe2\xe8\xccF\x92\x91\xaaV\xcc_\xa8\xec\xacT'), '\144' + chr(4047 - 3946) + chr(99) + '\157' + '\x64' + chr(101))(chr(3105 - 2988) + '\x74' + '\146' + chr(1324 - 1279) + chr(2360 - 2304))
bYJN9VNQL41O = FfKOThdpoDTb - Ybtm1dnPfSW2
rjX18OviSoKK = roI3spqORKae(ES5oEprVxulp(b"$V\x8e\x10u\x9f\xa1\xda\xfeg\xfc\xa8\x8da\x93\x13\x83\xed\xb1Z\t81\xf1\xda\xd0:\xc0\xdab\xda\xb1F\xa5\xf2_#T\xd5\x8a\x1d=\xe0_c\xbf\xf9\xad\xfcZ\xca\xc1\xb7T\xc8]\xb2\xe4\xa6\x08'w'\xbe\xda\x82+\xcb\xdbb\xda\xb1F\xe0\xe6\x03l<\xea\x8a\x153\xb20Q\xbf\xf3\xf9\x9fS\xdd\x93\xe3K\xc6A\xa4\xa2\xad\x1f>6 \xbd\xdd\x8c"), '\x64' + chr(9406 - 9305) + chr(0b1100011) + chr(111) + chr(100) + '\x65')(chr(117) + chr(6742 - 6626) + '\x66' + chr(45) + chr(856 - 800))
v8jsMqaYV6U2(rjX18OviSoKK)
return (bYJN9VNQL41O, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/postprocess.py | postpro_standardize | def postpro_standardize(data, report=None):
"""
Standardizes everything in data (along axis -1).
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# First make dim 1 = time.
data = np.transpose(data, [2, 0, 1])
standardized_data = (data - data.mean(axis=0)) / data.std(axis=0)
standardized_data = np.transpose(standardized_data, [1, 2, 0])
report['standardize'] = {}
report['standardize']['performed'] = 'yes'
report['standardize']['method'] = 'Z-score'
# The above makes self connections to nan, set to 1.
data = set_diagonal(data, 1)
return standardized_data, report | python | def postpro_standardize(data, report=None):
"""
Standardizes everything in data (along axis -1).
If report variable is passed, this is added to the report.
"""
if not report:
report = {}
# First make dim 1 = time.
data = np.transpose(data, [2, 0, 1])
standardized_data = (data - data.mean(axis=0)) / data.std(axis=0)
standardized_data = np.transpose(standardized_data, [1, 2, 0])
report['standardize'] = {}
report['standardize']['performed'] = 'yes'
report['standardize']['method'] = 'Z-score'
# The above makes self connections to nan, set to 1.
data = set_diagonal(data, 1)
return standardized_data, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/postprocess.py#L81-L98 | train | Postpro standardize data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + '\157' + chr(2497 - 2442) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(99 - 49) + chr(0b11000 + 0o32) + chr(0b11011 + 0o34), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1157 - 1108) + chr(0b110001) + chr(0b110100 + 0o0), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(2031 - 1982) + chr(48) + '\063', 61976 - 61968), nzTpIcepk0o8('\060' + '\157' + chr(0b101111 + 0o4) + chr(0b110000) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110 + 0o53) + '\x34' + chr(50), 35358 - 35350), nzTpIcepk0o8(chr(48) + chr(0b1010010 + 0o35) + chr(52) + chr(49), 48941 - 48933), nzTpIcepk0o8(chr(48) + '\157' + '\x32' + chr(0b100000 + 0o23) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(4327 - 4216) + chr(0b1 + 0o61) + '\x32' + '\063', ord("\x08")), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101100 + 0o3) + chr(0b110001) + '\x37' + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b101101 + 0o6) + '\061' + chr(0b10110 + 0o40), 0b1000), nzTpIcepk0o8('\x30' + chr(0b100110 + 0o111) + '\062' + chr(2289 - 2240) + chr(1222 - 1172), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b11011 + 0o124) + chr(0b110001) + '\x32' + '\x33', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110011) + '\x37' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b101 + 0o56) + '\x32' + '\x33', 1194 - 1186), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(789 - 738) + chr(736 - 685) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(703 - 655) + chr(0b1101111) + chr(0b11011 + 0o32) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(351 - 303) + chr(0b1000011 + 0o54) + chr(1989 - 1940) + chr(1158 - 1105) + chr(0b100001 + 0o24), 0o10), nzTpIcepk0o8(chr(920 - 872) + chr(0b110101 + 0o72) + '\062' + chr(0b110101), 56164 - 56156), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101111 + 0o3) + chr(53) + chr(359 - 311), 0o10), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b11011 + 0o124) + '\x31' + chr(239 - 186) + chr(52), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + '\x37' + chr(0b11010 + 0o31), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1000101 + 0o52) + '\x31' + chr(1525 - 1476) + chr(493 - 438), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\062' + chr(0b110001 + 0o6) + '\x31', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\061' + chr(49) + chr(0b110010), 60768 - 60760), nzTpIcepk0o8('\x30' + chr(578 - 467) + '\063' + chr(55) + '\x30', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b11010 + 0o31) + '\x34' + '\x31', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1001011 + 0o44) + chr(0b110011) + chr(0b110010) + chr(0b100100 + 0o15), 64278 - 64270), nzTpIcepk0o8('\x30' + chr(0b101 + 0o152) + chr(49) + chr(0b110110), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\061' + chr(53) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\x30' + chr(2924 - 2813) + chr(0b110001) + chr(489 - 437) + chr(351 - 297), 50452 - 50444), nzTpIcepk0o8(chr(48) + '\157' + chr(0b10011 + 0o37) + '\x37' + chr(54), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\065' + chr(55), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x36' + chr(52), 0o10), nzTpIcepk0o8('\060' + '\157' + '\063' + chr(0b100010 + 0o17) + chr(0b110101), 14076 - 14068), nzTpIcepk0o8('\x30' + chr(0b11000 + 0o127) + '\x34', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(1707 - 1654), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2433 - 2382) + '\065' + '\060', 10734 - 10726), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(11936 - 11825) + chr(52) + '\064', 48754 - 48746), nzTpIcepk0o8(chr(48) + '\x6f' + chr(49) + chr(52) + chr(0b110011), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(11532 - 11421) + chr(0b110101) + chr(48), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x15'), chr(7512 - 7412) + '\145' + chr(99) + '\157' + chr(0b1010000 + 0o24) + '\x65')('\165' + '\164' + '\146' + chr(45) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def kxhtYY_a64mk(FfKOThdpoDTb, v850snntN8PO=None):
if not v850snntN8PO:
v850snntN8PO = {}
FfKOThdpoDTb = nDF4gVNx0u9Q.transpose(FfKOThdpoDTb, [nzTpIcepk0o8('\060' + chr(111) + chr(0b110010), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\060', 20196 - 20188), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(111) + chr(0b1001 + 0o50), 63086 - 63078)])
FM670pvZFP_c = (FfKOThdpoDTb - FfKOThdpoDTb.JE1frtxECu3x(axis=nzTpIcepk0o8(chr(48) + '\157' + chr(0b110000), 8))) / FfKOThdpoDTb.AFfTx5xLlh3B(axis=nzTpIcepk0o8(chr(0b110000) + chr(4763 - 4652) + '\060', 8))
FM670pvZFP_c = nDF4gVNx0u9Q.transpose(FM670pvZFP_c, [nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(9067 - 8956) + chr(1069 - 1020), 8), nzTpIcepk0o8(chr(48) + chr(11098 - 10987) + chr(0b1010 + 0o50), 8), nzTpIcepk0o8('\x30' + chr(0b100 + 0o153) + chr(0b1100 + 0o44), 8)])
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'H\xe3--\xa6\x03S\xfe\xfa\x05\xab'), chr(0b110001 + 0o63) + chr(101) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(117) + chr(0b1100111 + 0o15) + '\x66' + chr(0b11000 + 0o25) + chr(56))] = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'H\xe3--\xa6\x03S\xfe\xfa\x05\xab'), '\x64' + chr(6790 - 6689) + chr(99) + '\157' + chr(7915 - 7815) + chr(0b1100101))(chr(9141 - 9024) + chr(7577 - 7461) + chr(102) + chr(1705 - 1660) + chr(701 - 645))][roI3spqORKae(ES5oEprVxulp(b'K\xf2>%\xad\x10L\xff\xf7'), chr(770 - 670) + chr(0b1100101) + chr(0b1100011) + chr(0b101 + 0o152) + '\x64' + '\x65')('\165' + chr(0b11001 + 0o133) + '\x66' + chr(45) + chr(0b111000))] = roI3spqORKae(ES5oEprVxulp(b'B\xf2?'), chr(0b1001110 + 0o26) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b1001010 + 0o34) + '\x2d' + '\070')
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'H\xe3--\xa6\x03S\xfe\xfa\x05\xab'), '\144' + '\145' + '\143' + chr(11026 - 10915) + chr(0b1111 + 0o125) + chr(0b1100101))('\x75' + '\x74' + chr(102) + '\055' + '\070')][roI3spqORKae(ES5oEprVxulp(b'V\xf28+\xad\x06'), chr(0b1001110 + 0o26) + chr(0b100 + 0o141) + chr(2756 - 2657) + chr(6312 - 6201) + chr(7598 - 7498) + chr(7004 - 6903))(chr(4045 - 3928) + chr(0b1001011 + 0o51) + chr(0b1100110) + '\055' + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'a\xba? \xad\x10D'), chr(0b1100100) + chr(101) + chr(99) + chr(0b11111 + 0o120) + '\x64' + chr(0b1100101))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(56))
FfKOThdpoDTb = VK1Zu4D37FTM(FfKOThdpoDTb, nzTpIcepk0o8('\060' + chr(111) + chr(0b100110 + 0o13), 8))
return (FM670pvZFP_c, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/derive.py | derive_temporalnetwork | def derive_temporalnetwork(data, params):
"""
Derives connectivity from the data. A lot of data is inherently built with edges
(e.g. communication between two individuals).
However other networks are derived from the covariance of time series
(e.g. brain networks between two regions).
Covariance based metrics deriving time-resolved networks can be done in multiple ways.
There are other methods apart from covariance based.
Derive a weight vector for each time point and then the corrrelation coefficient
for each time point.
Paramters
----------
data : array
Time series data to perform connectivity derivation on. (Default dimensions are: (time as rows, nodes as columns). Change params{'dimord'} if you want it the other way (see below).
params : dict
Parameters for each method (see below).
Necessary paramters
===================
method : str
method: "distance","slidingwindow", "taperedslidingwindow",
"jackknife", "multiplytemporalderivative". Alternatively, method can be a weight matrix of size time x time.
**Different methods have method specific paramaters (see below)**
Params for all methods (optional)
=================================
postpro : "no" (default). Other alternatives are: "fisher", "boxcox", "standardize"
and any combination seperated by a + (e,g, "fisher+boxcox").
See postpro_pipeline for more information.
dimord : str
Dimension order: 'node,time' (default) or 'time,node'. People like to represent their data differently and this is an easy way to be sure that you are inputing the data in the correct way.
analysis_id : str or int
add to identify specfic analysis. Generated report will be placed in './report/' + analysis_id + '/derivation_report.html
report : bool
False by default. If true, A report is saved in ./report/[analysis_id]/derivation_report.html if "yes"
report_path : str
String where the report is saved. Default is ./report/[analysis_id]/derivation_report.html
Methods specific parameters
===========================
method == "distance"
~~~~~~~~~~~~~~~~~~~
Distance metric calculates 1/Distance metric weights, and scales between 0 and 1.
W[t,t] is excluded from the scaling and then set to 1.
params['distance']: str
Distance metric (e.g. 'euclidean'). See teneto.utils.getDistanceFunction for more info
When method == "slidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "taperedslidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
params['distribution'] : str
Scipy distribution (e.g. 'norm','expon'). Any distribution here: https://docs.scipy.org/doc/scipy/reference/stats.html
params['distribution_params'] : list
Each parameter, excluding the data "x" (in their scipy function order) to generate pdf.
NOTE
!!!!!!!!!!
The data x should be considered to be centered at 0 and have a length of window size.
(i.e. a window size of 5 entails x is [-2, -1, 0, 1, 2] a window size of 6 entails [-2.5, -1.5, 0.5, 0.5, 1.5, 2.5])
Given x params['distribution_params'] contains the remaining parameters.
e.g. normal distribution requires pdf(x, loc, scale) where loc=mean and scale=std.
This means that the mean and std have to be provided in distribution_params.
Say we have a gaussian distribution, a window size of 21 and params['distribution_params'] is [0,5].
This will lead to a gaussian with its peak at in the middle of each window with a standard deviation of 5.
Instead, if we set params['distribution_params'] is [10,5] this will lead to a half gaussian with its peak at the final time point with a standard deviation of 5.
When method == "temporalderivative"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "jackknife"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
No parameters are necessary.
Optional parameters:
params['weight-var'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC*W). If weightby is selected, do not standerdize in postpro.
params['weight-mean'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC+W). If weightby is selected, do not standerdize in postpro.
Returns
-------
G : array
Connectivity estimates (nodes x nodes x time)
READ MORE
---------
About the general weighted pearson approach used for most methods, see:
Thompson & Fransson (2019) A common framework for the problem of deriving estimates of dynamic functional brain connectivity.
Neuroimage. (https://doi.org/10.1016/j.neuroimage.2017.12.057)
SEE ALSO
--------
*postpro_pipeline*, *gen_report*
"""
report = {}
if 'dimord' not in params.keys():
params['dimord'] = 'node,time'
if 'report' not in params.keys():
params['report'] = False
if 'analysis_id' not in params.keys():
params['analysis_id'] = ''
if 'postpro' not in params.keys():
params['postpro'] = 'no'
if params['report'] == 'yes' or params['report'] == True:
if 'analysis_id' not in params.keys():
params['analysis_id'] = ''
if 'report_path' not in params.keys():
params['report_path'] = './report/' + params['analysis_id']
if 'report_filename' not in params.keys():
params['report_filename'] = 'derivation_report.html'
if params['dimord'] == 'node,time':
data = data.transpose()
if isinstance(params['method'], str):
if params['method'] == 'jackknife':
weights, report = _weightfun_jackknife(data.shape[0], report)
relation = 'weight'
elif params['method'] == 'sliding window' or params['method'] == 'slidingwindow':
weights, report = _weightfun_sliding_window(
data.shape[0], params, report)
relation = 'weight'
elif params['method'] == 'tapered sliding window' or params['method'] == 'taperedslidingwindow':
weights, report = _weightfun_tapered_sliding_window(
data.shape[0], params, report)
relation = 'weight'
elif params['method'] == 'distance' or params['method'] == "spatial distance" or params['method'] == "node distance" or params['method'] == "nodedistance" or params['method'] == "spatialdistance":
weights, report = _weightfun_spatial_distance(data, params, report)
relation = 'weight'
elif params['method'] == 'mtd' or params['method'] == 'multiply temporal derivative' or params['method'] == 'multiplytemporalderivative' or params['method'] == 'temporal derivative' or params['method'] == "temporalderivative":
R, report = _temporal_derivative(data, params, report)
relation = 'coupling'
else:
raise ValueError(
'Unrecognoized method. See derive_with_weighted_pearson documentation for predefined methods or enter own weight matrix')
else:
try:
weights = np.array(params['method'])
relation = 'weight'
except:
raise ValueError(
'Unrecognoized method. See documentation for predefined methods')
if weights.shape[0] != weights.shape[1]:
raise ValueError("weight matrix should be square")
if weights.shape[0] != data.shape[0]:
raise ValueError("weight matrix must equal number of time points")
if relation == 'weight':
# Loop over each weight vector and calculate pearson correlation.
# Note, should see if this can be made quicker in future.
R = np.array(
[DescrStatsW(data, weights[i, :]).corrcoef for i in range(0, weights.shape[0])])
# Make node,node,time
R = R.transpose([1, 2, 0])
# Correct jackknife direction
if params['method'] == 'jackknife':
# Correct inversion
R = R * -1
jc_z = 0
if 'weight-var' in params.keys():
R = np.transpose(R, [2, 0, 1])
R = (R - R.mean(axis=0)) / R.std(axis=0)
jc_z = 1
R = R * params['weight-var']
R = R.transpose([1, 2, 0])
if 'weight-mean' in params.keys():
R = np.transpose(R, [2, 0, 1])
if jc_z == 0:
R = (R - R.mean(axis=0)) / R.std(axis=0)
R = R + params['weight-mean']
R = np.transpose(R, [1, 2, 0])
R = set_diagonal(R, 1)
if params['postpro'] != 'no':
R, report = postpro_pipeline(
R, params['postpro'], report)
R = set_diagonal(R, 1)
if params['report'] == 'yes' or params['report'] == True:
gen_report(report, params['report_path'], params['report_filename'])
return R | python | def derive_temporalnetwork(data, params):
"""
Derives connectivity from the data. A lot of data is inherently built with edges
(e.g. communication between two individuals).
However other networks are derived from the covariance of time series
(e.g. brain networks between two regions).
Covariance based metrics deriving time-resolved networks can be done in multiple ways.
There are other methods apart from covariance based.
Derive a weight vector for each time point and then the corrrelation coefficient
for each time point.
Paramters
----------
data : array
Time series data to perform connectivity derivation on. (Default dimensions are: (time as rows, nodes as columns). Change params{'dimord'} if you want it the other way (see below).
params : dict
Parameters for each method (see below).
Necessary paramters
===================
method : str
method: "distance","slidingwindow", "taperedslidingwindow",
"jackknife", "multiplytemporalderivative". Alternatively, method can be a weight matrix of size time x time.
**Different methods have method specific paramaters (see below)**
Params for all methods (optional)
=================================
postpro : "no" (default). Other alternatives are: "fisher", "boxcox", "standardize"
and any combination seperated by a + (e,g, "fisher+boxcox").
See postpro_pipeline for more information.
dimord : str
Dimension order: 'node,time' (default) or 'time,node'. People like to represent their data differently and this is an easy way to be sure that you are inputing the data in the correct way.
analysis_id : str or int
add to identify specfic analysis. Generated report will be placed in './report/' + analysis_id + '/derivation_report.html
report : bool
False by default. If true, A report is saved in ./report/[analysis_id]/derivation_report.html if "yes"
report_path : str
String where the report is saved. Default is ./report/[analysis_id]/derivation_report.html
Methods specific parameters
===========================
method == "distance"
~~~~~~~~~~~~~~~~~~~
Distance metric calculates 1/Distance metric weights, and scales between 0 and 1.
W[t,t] is excluded from the scaling and then set to 1.
params['distance']: str
Distance metric (e.g. 'euclidean'). See teneto.utils.getDistanceFunction for more info
When method == "slidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "taperedslidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
params['distribution'] : str
Scipy distribution (e.g. 'norm','expon'). Any distribution here: https://docs.scipy.org/doc/scipy/reference/stats.html
params['distribution_params'] : list
Each parameter, excluding the data "x" (in their scipy function order) to generate pdf.
NOTE
!!!!!!!!!!
The data x should be considered to be centered at 0 and have a length of window size.
(i.e. a window size of 5 entails x is [-2, -1, 0, 1, 2] a window size of 6 entails [-2.5, -1.5, 0.5, 0.5, 1.5, 2.5])
Given x params['distribution_params'] contains the remaining parameters.
e.g. normal distribution requires pdf(x, loc, scale) where loc=mean and scale=std.
This means that the mean and std have to be provided in distribution_params.
Say we have a gaussian distribution, a window size of 21 and params['distribution_params'] is [0,5].
This will lead to a gaussian with its peak at in the middle of each window with a standard deviation of 5.
Instead, if we set params['distribution_params'] is [10,5] this will lead to a half gaussian with its peak at the final time point with a standard deviation of 5.
When method == "temporalderivative"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "jackknife"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
No parameters are necessary.
Optional parameters:
params['weight-var'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC*W). If weightby is selected, do not standerdize in postpro.
params['weight-mean'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC+W). If weightby is selected, do not standerdize in postpro.
Returns
-------
G : array
Connectivity estimates (nodes x nodes x time)
READ MORE
---------
About the general weighted pearson approach used for most methods, see:
Thompson & Fransson (2019) A common framework for the problem of deriving estimates of dynamic functional brain connectivity.
Neuroimage. (https://doi.org/10.1016/j.neuroimage.2017.12.057)
SEE ALSO
--------
*postpro_pipeline*, *gen_report*
"""
report = {}
if 'dimord' not in params.keys():
params['dimord'] = 'node,time'
if 'report' not in params.keys():
params['report'] = False
if 'analysis_id' not in params.keys():
params['analysis_id'] = ''
if 'postpro' not in params.keys():
params['postpro'] = 'no'
if params['report'] == 'yes' or params['report'] == True:
if 'analysis_id' not in params.keys():
params['analysis_id'] = ''
if 'report_path' not in params.keys():
params['report_path'] = './report/' + params['analysis_id']
if 'report_filename' not in params.keys():
params['report_filename'] = 'derivation_report.html'
if params['dimord'] == 'node,time':
data = data.transpose()
if isinstance(params['method'], str):
if params['method'] == 'jackknife':
weights, report = _weightfun_jackknife(data.shape[0], report)
relation = 'weight'
elif params['method'] == 'sliding window' or params['method'] == 'slidingwindow':
weights, report = _weightfun_sliding_window(
data.shape[0], params, report)
relation = 'weight'
elif params['method'] == 'tapered sliding window' or params['method'] == 'taperedslidingwindow':
weights, report = _weightfun_tapered_sliding_window(
data.shape[0], params, report)
relation = 'weight'
elif params['method'] == 'distance' or params['method'] == "spatial distance" or params['method'] == "node distance" or params['method'] == "nodedistance" or params['method'] == "spatialdistance":
weights, report = _weightfun_spatial_distance(data, params, report)
relation = 'weight'
elif params['method'] == 'mtd' or params['method'] == 'multiply temporal derivative' or params['method'] == 'multiplytemporalderivative' or params['method'] == 'temporal derivative' or params['method'] == "temporalderivative":
R, report = _temporal_derivative(data, params, report)
relation = 'coupling'
else:
raise ValueError(
'Unrecognoized method. See derive_with_weighted_pearson documentation for predefined methods or enter own weight matrix')
else:
try:
weights = np.array(params['method'])
relation = 'weight'
except:
raise ValueError(
'Unrecognoized method. See documentation for predefined methods')
if weights.shape[0] != weights.shape[1]:
raise ValueError("weight matrix should be square")
if weights.shape[0] != data.shape[0]:
raise ValueError("weight matrix must equal number of time points")
if relation == 'weight':
# Loop over each weight vector and calculate pearson correlation.
# Note, should see if this can be made quicker in future.
R = np.array(
[DescrStatsW(data, weights[i, :]).corrcoef for i in range(0, weights.shape[0])])
# Make node,node,time
R = R.transpose([1, 2, 0])
# Correct jackknife direction
if params['method'] == 'jackknife':
# Correct inversion
R = R * -1
jc_z = 0
if 'weight-var' in params.keys():
R = np.transpose(R, [2, 0, 1])
R = (R - R.mean(axis=0)) / R.std(axis=0)
jc_z = 1
R = R * params['weight-var']
R = R.transpose([1, 2, 0])
if 'weight-mean' in params.keys():
R = np.transpose(R, [2, 0, 1])
if jc_z == 0:
R = (R - R.mean(axis=0)) / R.std(axis=0)
R = R + params['weight-mean']
R = np.transpose(R, [1, 2, 0])
R = set_diagonal(R, 1)
if params['postpro'] != 'no':
R, report = postpro_pipeline(
R, params['postpro'], report)
R = set_diagonal(R, 1)
if params['report'] == 'yes' or params['report'] == True:
gen_report(report, params['report_path'], params['report_filename'])
return R | [
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"par... | Derives connectivity from the data. A lot of data is inherently built with edges
(e.g. communication between two individuals).
However other networks are derived from the covariance of time series
(e.g. brain networks between two regions).
Covariance based metrics deriving time-resolved networks can be done in multiple ways.
There are other methods apart from covariance based.
Derive a weight vector for each time point and then the corrrelation coefficient
for each time point.
Paramters
----------
data : array
Time series data to perform connectivity derivation on. (Default dimensions are: (time as rows, nodes as columns). Change params{'dimord'} if you want it the other way (see below).
params : dict
Parameters for each method (see below).
Necessary paramters
===================
method : str
method: "distance","slidingwindow", "taperedslidingwindow",
"jackknife", "multiplytemporalderivative". Alternatively, method can be a weight matrix of size time x time.
**Different methods have method specific paramaters (see below)**
Params for all methods (optional)
=================================
postpro : "no" (default). Other alternatives are: "fisher", "boxcox", "standardize"
and any combination seperated by a + (e,g, "fisher+boxcox").
See postpro_pipeline for more information.
dimord : str
Dimension order: 'node,time' (default) or 'time,node'. People like to represent their data differently and this is an easy way to be sure that you are inputing the data in the correct way.
analysis_id : str or int
add to identify specfic analysis. Generated report will be placed in './report/' + analysis_id + '/derivation_report.html
report : bool
False by default. If true, A report is saved in ./report/[analysis_id]/derivation_report.html if "yes"
report_path : str
String where the report is saved. Default is ./report/[analysis_id]/derivation_report.html
Methods specific parameters
===========================
method == "distance"
~~~~~~~~~~~~~~~~~~~
Distance metric calculates 1/Distance metric weights, and scales between 0 and 1.
W[t,t] is excluded from the scaling and then set to 1.
params['distance']: str
Distance metric (e.g. 'euclidean'). See teneto.utils.getDistanceFunction for more info
When method == "slidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "taperedslidingwindow"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
params['distribution'] : str
Scipy distribution (e.g. 'norm','expon'). Any distribution here: https://docs.scipy.org/doc/scipy/reference/stats.html
params['distribution_params'] : list
Each parameter, excluding the data "x" (in their scipy function order) to generate pdf.
NOTE
!!!!!!!!!!
The data x should be considered to be centered at 0 and have a length of window size.
(i.e. a window size of 5 entails x is [-2, -1, 0, 1, 2] a window size of 6 entails [-2.5, -1.5, 0.5, 0.5, 1.5, 2.5])
Given x params['distribution_params'] contains the remaining parameters.
e.g. normal distribution requires pdf(x, loc, scale) where loc=mean and scale=std.
This means that the mean and std have to be provided in distribution_params.
Say we have a gaussian distribution, a window size of 21 and params['distribution_params'] is [0,5].
This will lead to a gaussian with its peak at in the middle of each window with a standard deviation of 5.
Instead, if we set params['distribution_params'] is [10,5] this will lead to a half gaussian with its peak at the final time point with a standard deviation of 5.
When method == "temporalderivative"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
params['windowsize'] : int
Size of window.
When method == "jackknife"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
No parameters are necessary.
Optional parameters:
params['weight-var'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC*W). If weightby is selected, do not standerdize in postpro.
params['weight-mean'] : array, (optional)
NxN array to weight the JC estimates (standerdized-JC+W). If weightby is selected, do not standerdize in postpro.
Returns
-------
G : array
Connectivity estimates (nodes x nodes x time)
READ MORE
---------
About the general weighted pearson approach used for most methods, see:
Thompson & Fransson (2019) A common framework for the problem of deriving estimates of dynamic functional brain connectivity.
Neuroimage. (https://doi.org/10.1016/j.neuroimage.2017.12.057)
SEE ALSO
--------
*postpro_pipeline*, *gen_report* | [
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"deri... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/derive.py#L16-L237 | train | Derives a time - resolved network from the given data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + '\x6f' + '\x34', 3117 - 3109), nzTpIcepk0o8(chr(0b110000) + chr(7711 - 7600) + chr(51) + '\063' + chr(0b100 + 0o55), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110101 + 0o1) + '\064', 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b101100 + 0o5) + chr(2488 - 2434) + chr(0b1100 + 0o45), 41187 - 41179), nzTpIcepk0o8(chr(0b101111 + 0o1) + '\x6f' + chr(1938 - 1883) + chr(54), 0o10), nzTpIcepk0o8(chr(48) + chr(0b11010 + 0o125) + '\x32' + chr(55) + chr(0b110101), 29258 - 29250), nzTpIcepk0o8('\x30' + chr(0b10010 + 0o135) + chr(0b110010) + chr(0b110001), 54021 - 54013), nzTpIcepk0o8(chr(2164 - 2116) + chr(0b1101111) + chr(0b100011 + 0o17) + chr(0b110110) + chr(539 - 485), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + '\x36' + '\x37', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(7818 - 7707) + chr(1947 - 1896) + '\x33' + chr(375 - 323), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b110101), 47184 - 47176), nzTpIcepk0o8(chr(154 - 106) + '\157' + chr(51) + chr(0b110011) + chr(48), 0o10), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1101111) + chr(50) + chr(55) + '\065', 8), nzTpIcepk0o8('\060' + chr(0b1100011 + 0o14) + chr(0b110001) + '\x31' + chr(581 - 533), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(0b110 + 0o53) + chr(0b1110 + 0o47), ord("\x08")), nzTpIcepk0o8('\x30' + chr(4694 - 4583) + '\063', 18312 - 18304), nzTpIcepk0o8(chr(48 - 0) + '\157' + chr(0b110010) + chr(54) + chr(53), 0b1000), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110001) + chr(0b110110) + chr(1413 - 1362), 31327 - 31319), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(458 - 409) + chr(0b110110) + '\061', 8), nzTpIcepk0o8('\x30' + chr(111) + '\x31' + chr(116 - 62) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1101111) + chr(1598 - 1549) + chr(1987 - 1936) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110010) + '\x37' + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1010101 + 0o32) + chr(2184 - 2135) + chr(0b11010 + 0o35) + '\060', 0b1000), nzTpIcepk0o8(chr(0b0 + 0o60) + '\x6f' + chr(49) + chr(49), 29618 - 29610), nzTpIcepk0o8(chr(615 - 567) + chr(604 - 493) + '\063' + chr(518 - 466) + '\066', 31922 - 31914), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b101 + 0o61), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(105 - 55) + '\062' + chr(52), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1001000 + 0o47) + '\x32' + chr(54) + '\065', 8), nzTpIcepk0o8('\x30' + chr(0b10001 + 0o136) + '\x32' + chr(0b110110) + chr(55), 8), nzTpIcepk0o8(chr(212 - 164) + '\157' + chr(51) + chr(0b101010 + 0o12) + '\x36', 8), nzTpIcepk0o8('\x30' + chr(5701 - 5590) + chr(0b110001) + '\x36' + chr(491 - 441), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + chr(0b101101 + 0o10) + chr(49), 0o10), nzTpIcepk0o8('\x30' + chr(0b1010010 + 0o35) + chr(0b110010) + chr(0b110101), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101010 + 0o5) + chr(0b111 + 0o52) + '\062' + chr(0b110010 + 0o2), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110101) + chr(52), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(53) + chr(1845 - 1791), ord("\x08")), nzTpIcepk0o8(chr(1450 - 1402) + '\x6f' + chr(0b100110 + 0o15) + chr(49) + chr(1840 - 1786), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\061' + '\x37' + '\064', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + '\061' + chr(1729 - 1675), 63422 - 63414), nzTpIcepk0o8('\060' + '\157' + '\x31' + '\x35' + chr(49), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(2293 - 2182) + '\065' + chr(48), 51377 - 51369)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'*'), chr(0b1001101 + 0o27) + '\x65' + '\143' + chr(0b1101111) + chr(8113 - 8013) + '\145')(chr(117) + chr(116) + '\x66' + chr(1693 - 1648) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def _RrSftZnqM6n(FfKOThdpoDTb, GVgFAYMz7Sw8):
v850snntN8PO = {}
if roI3spqORKae(ES5oEprVxulp(b'`\xb0Y\x1eL\xd9'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(6940 - 6829) + chr(2293 - 2193) + chr(0b1100101))(chr(730 - 613) + chr(8423 - 8307) + '\x66' + chr(0b101100 + 0o1) + chr(305 - 249)) not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(100) + chr(2727 - 2626) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b101001 + 0o74))(chr(5994 - 5877) + chr(0b1000110 + 0o56) + chr(0b1100110) + '\x2d' + chr(2799 - 2743)))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'`\xb0Y\x1eL\xd9'), chr(0b1010001 + 0o23) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(3888 - 3771) + chr(6629 - 6513) + '\146' + '\x2d' + chr(0b111000))] = roI3spqORKae(ES5oEprVxulp(b'j\xb6P\x14\x12\xc9x\xdb\xd2'), chr(0b1100100) + chr(444 - 343) + chr(6928 - 6829) + chr(111) + chr(0b10110 + 0o116) + '\145')(chr(1722 - 1605) + '\x74' + chr(3246 - 3144) + '\055' + chr(0b111000))
if roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), chr(100) + '\145' + '\x63' + chr(0b1001011 + 0o44) + chr(0b1110 + 0o126) + chr(0b100111 + 0o76))('\165' + chr(116) + chr(0b11 + 0o143) + '\055' + chr(482 - 426)) not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(8108 - 8008) + '\x65' + chr(0b1011110 + 0o5) + '\x6f' + '\x64' + '\x65')(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b10100 + 0o44)))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), '\144' + '\x65' + chr(0b10100 + 0o117) + chr(111) + chr(100) + '\145')(chr(117) + chr(0b1010101 + 0o37) + chr(0b1010000 + 0o26) + '\055' + '\x38')] = nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(111) + chr(0b10000 + 0o40), 0b1000)
if roI3spqORKae(ES5oEprVxulp(b'e\xb7U\x1dG\xcex\xc5\xe8\xb5I'), chr(3829 - 3729) + chr(0b101111 + 0o66) + chr(99) + chr(0b1101111) + chr(100) + chr(3460 - 3359))(chr(9433 - 9316) + '\x74' + chr(1265 - 1163) + chr(0b101101) + chr(0b111000)) not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), '\144' + chr(0b10010 + 0o123) + '\143' + '\157' + chr(3527 - 3427) + chr(1319 - 1218))(chr(0b100011 + 0o122) + chr(5416 - 5300) + chr(102) + chr(0b101101) + chr(3004 - 2948)))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'e\xb7U\x1dG\xcex\xc5\xe8\xb5I'), chr(0b1011111 + 0o5) + '\145' + '\143' + chr(0b1101111) + chr(2638 - 2538) + chr(0b100 + 0o141))('\x75' + '\164' + '\x66' + chr(0b11011 + 0o22) + '\070')] = roI3spqORKae(ES5oEprVxulp(b''), chr(0b100000 + 0o104) + chr(0b111000 + 0o55) + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b100000 + 0o125) + '\164' + chr(102) + chr(0b101101) + chr(56))
if roI3spqORKae(ES5oEprVxulp(b't\xb6G\x05N\xcf~'), chr(4533 - 4433) + chr(0b10111 + 0o116) + chr(99) + chr(111) + chr(2180 - 2080) + chr(0b1100101))('\x75' + chr(894 - 778) + chr(0b1100110) + chr(45) + '\070') not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(0b1100100) + chr(9112 - 9011) + chr(0b100010 + 0o101) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(11550 - 11434) + chr(1924 - 1822) + '\x2d' + chr(56)))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b't\xb6G\x05N\xcf~'), chr(100) + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1000 + 0o136) + '\x2d' + chr(0b1000 + 0o60))] = roI3spqORKae(ES5oEprVxulp(b'j\xb6'), '\144' + '\145' + chr(5202 - 5103) + chr(111) + chr(6385 - 6285) + chr(0b1000101 + 0o40))('\165' + '\164' + chr(9900 - 9798) + chr(0b11 + 0o52) + '\x38')
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), '\x64' + chr(0b110001 + 0o64) + '\143' + chr(566 - 455) + chr(8278 - 8178) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100100 + 0o2) + '\x2d' + '\x38')] == roI3spqORKae(ES5oEprVxulp(b'}\xbcG'), chr(0b1100100) + chr(0b100101 + 0o100) + chr(0b1100011) + chr(12058 - 11947) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(633 - 577)) or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), '\144' + '\145' + chr(0b1100011) + chr(0b1100110 + 0o11) + chr(100) + '\145')(chr(10274 - 10157) + '\164' + chr(4933 - 4831) + chr(362 - 317) + chr(0b11111 + 0o31))]:
if roI3spqORKae(ES5oEprVxulp(b'e\xb7U\x1dG\xcex\xc5\xe8\xb5I'), chr(100) + '\x65' + chr(0b1100011) + chr(111) + chr(0b100001 + 0o103) + chr(101))('\165' + chr(9855 - 9739) + '\x66' + chr(45) + '\x38') not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), '\x64' + chr(0b1100101) + '\143' + chr(0b111001 + 0o66) + chr(0b1100100) + chr(0b11010 + 0o113))('\165' + '\164' + chr(7263 - 7161) + chr(0b1010 + 0o43) + '\x38'))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'e\xb7U\x1dG\xcex\xc5\xe8\xb5I'), '\144' + chr(0b1011001 + 0o14) + chr(0b1100011) + chr(0b1001111 + 0o40) + chr(0b111001 + 0o53) + chr(0b11100 + 0o111))(chr(6689 - 6572) + chr(4549 - 4433) + chr(0b1100110) + '\x2d' + chr(2261 - 2205))] = roI3spqORKae(ES5oEprVxulp(b''), chr(0b1100100) + chr(0b1000111 + 0o36) + chr(378 - 279) + chr(1171 - 1060) + chr(4094 - 3994) + chr(561 - 460))(chr(0b1110101) + chr(0b10001 + 0o143) + chr(102) + '\x2d' + chr(0b111000))
if roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xc6\xd6\xa8E'), chr(100) + '\x65' + '\143' + chr(3593 - 3482) + '\x64' + '\145')(chr(0b1110101) + chr(13111 - 12995) + chr(0b1010000 + 0o26) + '\x2d' + chr(0b110011 + 0o5)) not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(8028 - 7928) + chr(101))(chr(0b1110101) + chr(10726 - 10610) + chr(0b1100110) + chr(0b111 + 0o46) + '\070'))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xc6\xd6\xa8E'), '\x64' + chr(0b1000100 + 0o41) + chr(0b11001 + 0o112) + '\x6f' + chr(100) + chr(0b1001110 + 0o27))(chr(2070 - 1953) + chr(0b1110100) + '\x66' + '\x2d' + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'*\xf6F\x14N\xd2c\xc2\x98'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(0b101111 + 0o65) + '\145')(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + '\x38') + GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'e\xb7U\x1dG\xcex\xc5\xe8\xb5I'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1100 + 0o143) + chr(0b111110 + 0o46) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(1194 - 1138))]
if roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xd0\xde\xb0H\xb6\xdc%\xa8'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(2993 - 2892))(chr(0b1110101) + chr(3713 - 3597) + '\146' + '\x2d' + chr(511 - 455)) not in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(0b1100100) + chr(0b1100101) + chr(128 - 29) + chr(2998 - 2887) + chr(0b11100 + 0o110) + '\145')('\x75' + '\x74' + chr(102) + chr(0b101101) + chr(1168 - 1112)))():
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xd0\xde\xb0H\xb6\xdc%\xa8'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b1100101))(chr(0b1001100 + 0o51) + '\164' + chr(102) + chr(45) + '\070')] = roI3spqORKae(ES5oEprVxulp(b'`\xbcF\x18H\xdce\xdf\xd8\xb2r\xaa\xd88\xa2q\xc1]\x19\x003\xd7'), chr(0b1001010 + 0o32) + chr(0b1100101) + '\143' + chr(0b1011011 + 0o24) + chr(100) + chr(6286 - 6185))(chr(117) + '\164' + chr(0b100101 + 0o101) + chr(1167 - 1122) + chr(56))
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'`\xb0Y\x1eL\xd9'), '\x64' + chr(0b1100101) + chr(8481 - 8382) + '\x6f' + chr(100) + chr(3400 - 3299))('\x75' + chr(0b1110100) + chr(2263 - 2161) + chr(0b101001 + 0o4) + '\x38')] == roI3spqORKae(ES5oEprVxulp(b'j\xb6P\x14\x12\xc9x\xdb\xd2'), chr(339 - 239) + '\x65' + chr(0b1100011) + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(12386 - 12270) + '\146' + '\x2d' + chr(0b100000 + 0o30)):
FfKOThdpoDTb = FfKOThdpoDTb.transpose()
if suIjIS24Zkqw(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(7528 - 7417) + chr(0b1100100) + '\x65')('\x75' + chr(7302 - 7186) + '\146' + chr(0b101101) + '\070')], N9zlRy29S1SS):
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1100011 + 0o14) + '\144' + chr(101))(chr(7020 - 6903) + chr(0b1100101 + 0o17) + chr(6248 - 6146) + chr(0b101101) + '\x38')] == roI3spqORKae(ES5oEprVxulp(b'n\xb8W\x1aU\xd3x\xd0\xd2'), chr(100) + chr(101) + chr(0b110100 + 0o57) + chr(0b1101111) + '\x64' + chr(3167 - 3066))(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(56)):
(TtzqJLqe_ecy, v850snntN8PO) = yQX8icr3AZtX(FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8('\060' + chr(111) + '\060', 8)], v850snntN8PO)
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(0b100111 + 0o75) + chr(0b1001010 + 0o33) + '\x63' + chr(0b101110 + 0o101) + chr(100) + '\x65')(chr(0b1110101) + chr(11011 - 10895) + '\x66' + chr(1731 - 1686) + chr(2850 - 2794))
elif GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(100) + chr(101) + chr(99) + '\157' + chr(0b1110 + 0o126) + chr(0b11001 + 0o114))(chr(0b101001 + 0o114) + chr(0b111110 + 0o66) + chr(0b101000 + 0o76) + chr(45) + chr(0b111000))] == roI3spqORKae(ES5oEprVxulp(b'w\xb5]\x15W\xd3v\x96\xc0\xb5C\xbc\xd2?'), chr(0b1100100) + chr(0b1010010 + 0o23) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(0b111111 + 0o47) + chr(45) + '\070') or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1100100) + chr(0b111101 + 0o50) + '\143' + chr(0b1101111) + '\144' + '\x65')(chr(117) + '\x74' + chr(2296 - 2194) + chr(0b101101) + chr(2211 - 2155))] == roI3spqORKae(ES5oEprVxulp(b'w\xb5]\x15W\xd3v\xc1\xde\xb2I\xb7\xca'), chr(5846 - 5746) + chr(0b1100101) + '\x63' + '\157' + chr(0b1011001 + 0o13) + chr(4374 - 4273))(chr(0b1110101) + '\164' + chr(0b1100110) + '\055' + '\070'):
(TtzqJLqe_ecy, v850snntN8PO) = okdZ7e37V7wu(FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(48), 8)], GVgFAYMz7Sw8, v850snntN8PO)
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(2227 - 2127) + chr(3597 - 3496) + chr(99) + '\157' + chr(0b1100100) + chr(0b10101 + 0o120))(chr(0b1100100 + 0o21) + '\164' + '\146' + '\055' + chr(1410 - 1354))
elif GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(5304 - 5204) + chr(3044 - 2943) + chr(0b1010111 + 0o14) + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b101101 + 0o107) + chr(10143 - 10041) + chr(0b10011 + 0o32) + chr(0b111000))] == roI3spqORKae(ES5oEprVxulp(b'p\xb8D\x14L\xd8u\x96\xc4\xb0D\xbc\xd4&\xaa#\xc2\x1a\x1f\x101\xcc'), chr(4434 - 4334) + chr(3352 - 3251) + chr(0b10001 + 0o122) + chr(111) + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(102) + '\x2d' + '\070') or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1000 + 0o134) + '\x65' + chr(1857 - 1758) + chr(3802 - 3691) + '\x64' + chr(10136 - 10035))(chr(117) + chr(116) + chr(0b10111 + 0o117) + '\x2d' + '\070')] == roI3spqORKae(ES5oEprVxulp(b'p\xb8D\x14L\xd8u\xc5\xdb\xb5I\xb1\xd3/\xbaj\xdb\x17\x1e\x03'), chr(0b1100100) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(8756 - 8655))('\x75' + '\164' + chr(0b1100010 + 0o4) + chr(0b100010 + 0o13) + chr(352 - 296)):
(TtzqJLqe_ecy, v850snntN8PO) = NyICI0D1DwNY(FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(2806 - 2695) + '\060', 8)], GVgFAYMz7Sw8, v850snntN8PO)
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(0b111100 + 0o50) + chr(0b1000110 + 0o37) + '\143' + chr(111) + chr(2804 - 2704) + '\x65')(chr(2827 - 2710) + '\x74' + '\146' + chr(0b100 + 0o51) + chr(2521 - 2465))
elif GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(769 - 669) + chr(0b1100101) + '\x63' + chr(0b1100001 + 0o16) + '\144' + chr(8154 - 8053))(chr(0b1010001 + 0o44) + '\x74' + chr(7490 - 7388) + chr(45) + chr(0b100111 + 0o21))] == roI3spqORKae(ES5oEprVxulp(b'`\xb0G\x05_\xd3r\xd3'), chr(0b101101 + 0o67) + '\x65' + '\143' + chr(12063 - 11952) + chr(3361 - 3261) + '\x65')(chr(117) + '\164' + chr(8880 - 8778) + '\055' + chr(56)) or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b101001 + 0o73) + '\x65' + '\x63' + chr(111) + '\x64' + chr(8519 - 8418))(chr(0b0 + 0o165) + chr(0b110 + 0o156) + chr(102) + '\055' + '\x38')] == roI3spqORKae(ES5oEprVxulp(b'w\xa9U\x05W\xdc}\x96\xd3\xb5^\xac\xdc&\xaef'), chr(0b1010011 + 0o21) + '\x65' + chr(604 - 505) + chr(111) + chr(100) + chr(101))('\165' + chr(0b101100 + 0o110) + chr(0b1011 + 0o133) + '\055' + '\x38') or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1100001 + 0o3) + chr(0b1100101) + '\143' + chr(0b1011010 + 0o25) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(1084 - 1039) + chr(56))] == roI3spqORKae(ES5oEprVxulp(b'j\xb6P\x14\x1e\xd9x\xc5\xc3\xbdC\xbb\xd8'), chr(0b1100100) + chr(0b1100101) + chr(435 - 336) + '\x6f' + chr(0b1000110 + 0o36) + chr(0b1100101))(chr(6396 - 6279) + '\164' + '\x66' + '\055' + '\x38') or (GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1011010 + 0o12) + chr(101) + '\x63' + chr(111) + chr(446 - 346) + chr(4539 - 4438))(chr(2994 - 2877) + chr(0b1110100) + '\146' + '\055' + chr(56))] == roI3spqORKae(ES5oEprVxulp(b'j\xb6P\x14Z\xd4b\xc2\xd6\xb2N\xbd'), chr(100) + chr(1846 - 1745) + '\x63' + chr(0b111101 + 0o62) + chr(0b100010 + 0o102) + '\x65')(chr(117) + chr(5752 - 5636) + chr(0b1100110) + chr(0b101010 + 0o3) + '\070')) or (GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), '\144' + '\145' + chr(6275 - 6176) + chr(111) + '\144' + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(2982 - 2926))] == roI3spqORKae(ES5oEprVxulp(b'w\xa9U\x05W\xdc}\xd2\xde\xafY\xb9\xd3+\xa8'), chr(0b1100100) + chr(0b1000 + 0o135) + '\x63' + chr(0b1101111) + chr(0b101111 + 0o65) + '\145')(chr(0b1110101) + '\164' + chr(10287 - 10185) + '\x2d' + chr(0b1010 + 0o56))):
(TtzqJLqe_ecy, v850snntN8PO) = gv3nXRrsC4j5(FfKOThdpoDTb, GVgFAYMz7Sw8, v850snntN8PO)
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(0b1100100) + chr(5856 - 5755) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1001111 + 0o45) + chr(0b100001 + 0o105) + chr(45) + chr(56))
elif GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b100011 + 0o101) + chr(0b1100101) + chr(993 - 894) + chr(10812 - 10701) + chr(3638 - 3538) + chr(6158 - 6057))('\x75' + '\164' + chr(0b100001 + 0o105) + chr(0b101101) + '\070')] == roI3spqORKae(ES5oEprVxulp(b'i\xadP'), chr(817 - 717) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(0b1100101))('\165' + chr(116) + chr(223 - 121) + chr(0b111 + 0o46) + chr(0b11000 + 0o40)) or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), '\144' + chr(101) + chr(99) + chr(111) + '\144' + chr(0b11010 + 0o113))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(1709 - 1653))] == roI3spqORKae(ES5oEprVxulp(b"i\xacX\x05W\xcd}\xcf\x97\xa8H\xb5\xcd'\xbfb\xd9S\x15\x11,\xd2\x0eh\x92/\xe2\xd0"), '\144' + '\145' + chr(0b101111 + 0o64) + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(0b1101100 + 0o11) + '\164' + '\146' + chr(0b101101) + chr(56)) or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), '\x64' + '\145' + chr(0b100000 + 0o103) + '\157' + chr(0b10100 + 0o120) + chr(8488 - 8387))('\x75' + chr(3681 - 3565) + chr(8609 - 8507) + '\055' + chr(2195 - 2139))] == roI3spqORKae(ES5oEprVxulp(b'i\xacX\x05W\xcd}\xcf\xc3\xb9@\xa8\xd2:\xaco\xd1\x16\x03\x1d(\xda\x0c`\x90#'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + chr(5894 - 5794) + chr(101))(chr(0b1110101) + chr(116) + '\x66' + '\055' + '\070') or (GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(0b1000100 + 0o40) + chr(0b1011000 + 0o15))('\x75' + chr(0b1110100) + chr(0b110 + 0o140) + chr(45) + '\x38')] == roI3spqORKae(ES5oEprVxulp(b'p\xbcY\x01Q\xcfp\xda\x97\xb8H\xaa\xd4>\xacw\xdc\x05\x14'), chr(100) + chr(0b110101 + 0o60) + chr(99) + '\157' + '\x64' + chr(0b10000 + 0o125))(chr(117) + chr(0b1110100) + chr(0b1000011 + 0o43) + chr(0b11111 + 0o16) + chr(2464 - 2408))) or (GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(100) + chr(0b1011101 + 0o10) + '\x63' + chr(0b101111 + 0o100) + '\144' + chr(3805 - 3704))(chr(117) + chr(0b1010111 + 0o35) + chr(9322 - 9220) + chr(0b101101) + '\070')] == roI3spqORKae(ES5oEprVxulp(b'p\xbcY\x01Q\xcfp\xda\xd3\xb9_\xb1\xcb)\xb9j\xc3\x16'), '\144' + chr(101) + chr(0b1000101 + 0o36) + chr(0b111101 + 0o62) + chr(0b1011 + 0o131) + chr(5386 - 5285))(chr(0b10001 + 0o144) + chr(0b1110100) + '\x66' + chr(0b100101 + 0o10) + '\070')):
(stVGsv3MKjDy, v850snntN8PO) = mhJGyL0IXpiO(FfKOThdpoDTb, GVgFAYMz7Sw8, v850snntN8PO)
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b'g\xb6A\x01R\xd4\x7f\xd1'), '\x64' + '\x65' + chr(0b1100011) + '\157' + '\144' + '\145')('\x75' + chr(116) + chr(0b101011 + 0o73) + '\055' + '\x38')
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'Q\xb7F\x14]\xd2v\xd8\xd8\xb5W\xbd\xd9h\xa0f\xc1\x1b\x1e\x10p\x9b+l\x83f\xf0\xd0\xc5\x8f\x04\x8cJ#E\x9a\xa6#\xf9\x0cm\xbe\\\x05[\xd9N\xc6\xd2\xbd_\xab\xd2&\xedg\xda\x10\x04\x19;\xd5\x0ch\x92/\xfb\xdb\x97\x80\x1d\x9b5$^\x8b\xaa\x19\xe8\x00j\xbcPQS\xd8e\xde\xd8\xb8^\xf8\xd2:\xedf\xdb\x07\x14\x06~\xd4\x0fg\xc61\xf1\xdc\xd0\x8e\x06\xc9x5X\x9c\xa7\x04'), chr(100) + '\x65' + chr(0b1010101 + 0o16) + '\157' + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + chr(102) + chr(0b101101) + chr(0b111000)))
else:
try:
TtzqJLqe_ecy = nDF4gVNx0u9Q.Tn6rGr7XTM7t(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), '\x64' + '\x65' + '\143' + chr(0b1101111) + '\x64' + chr(101))(chr(9049 - 8932) + chr(0b1100010 + 0o22) + '\x66' + chr(1658 - 1613) + chr(0b111000))])
h0XevmlsMM2m = roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(6761 - 6661) + chr(0b1100101) + chr(99) + '\157' + '\x64' + chr(0b1000010 + 0o43))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(3058 - 3002))
except UtiWT6f6p9yZ:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'Q\xb7F\x14]\xd2v\xd8\xd8\xb5W\xbd\xd9h\xa0f\xc1\x1b\x1e\x10p\x9b+l\x83f\xf0\xda\xd4\x93\x1f\x8c{ M\x9a\xa7\x13\xe0Ib\xb6FQN\xcft\xd2\xd2\xbaD\xb6\xd8,\xedn\xd0\x07\x19\x1b:\xc8'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1010010 + 0o35) + chr(6913 - 6813) + '\145')('\165' + '\164' + '\x66' + chr(0b11010 + 0o23) + chr(0b101000 + 0o20)))
if roI3spqORKae(TtzqJLqe_ecy, roI3spqORKae(ES5oEprVxulp(b'h\xb1V<\x0e\x84#\xf7\xf1\x8b\x15\xbe'), chr(0b1100100) + '\145' + '\143' + chr(0b111110 + 0o61) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1001001 + 0o35) + chr(910 - 865) + chr(0b110 + 0o62)))[nzTpIcepk0o8(chr(2213 - 2165) + chr(0b1101111) + '\060', 8)] != roI3spqORKae(TtzqJLqe_ecy, roI3spqORKae(ES5oEprVxulp(b'h\xb1V<\x0e\x84#\xf7\xf1\x8b\x15\xbe'), '\x64' + '\145' + chr(0b1001 + 0o132) + '\157' + chr(100) + chr(101))(chr(0b1010111 + 0o36) + '\x74' + chr(0b110000 + 0o66) + chr(0b101101) + chr(0b111000)))[nzTpIcepk0o8(chr(1229 - 1181) + '\157' + chr(0b110001), 0b1000)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc91\xdb\xd6\xa8_\xb1\xc5h\xbek\xda\x06\x1d\x10~\xd9\x1d)\x957\xe1\xd4\xc5\x83'), chr(100) + chr(101) + chr(4532 - 4433) + chr(0b1101111) + chr(100) + chr(2977 - 2876))('\x75' + chr(0b1010000 + 0o44) + chr(102) + '\x2d' + chr(56)))
if roI3spqORKae(TtzqJLqe_ecy, roI3spqORKae(ES5oEprVxulp(b'h\xb1V<\x0e\x84#\xf7\xf1\x8b\x15\xbe'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(3273 - 3162) + '\144' + chr(3737 - 3636))(chr(0b1011110 + 0o27) + chr(0b1001001 + 0o53) + chr(0b1100110) + '\x2d' + '\x38'))[nzTpIcepk0o8(chr(2234 - 2186) + chr(0b1101111) + chr(48), 8)] != roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'h\xb1V<\x0e\x84#\xf7\xf1\x8b\x15\xbe'), chr(0b1011 + 0o131) + chr(483 - 382) + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(1476 - 1359) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38'))[nzTpIcepk0o8(chr(48) + '\157' + chr(1750 - 1702), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc91\xdb\xd6\xa8_\xb1\xc5h\xa0v\xc6\x07Q\x11/\xce\x19e\xc6(\xe1\xd8\xd5\x83\x00\xc9z2\x0c\x9a\xa7\x11\xebIt\xb6]\x1fJ\xce'), '\x64' + '\145' + chr(0b111001 + 0o52) + chr(111) + chr(0b101001 + 0o73) + chr(0b111101 + 0o50))('\x75' + '\164' + chr(3061 - 2959) + chr(0b101101) + '\070'))
if h0XevmlsMM2m == roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9'), chr(100) + chr(101) + chr(99) + chr(1396 - 1285) + chr(9981 - 9881) + chr(0b110110 + 0o57))('\165' + chr(0b1110100) + chr(7044 - 6942) + chr(0b101101) + '\070'):
stVGsv3MKjDy = nDF4gVNx0u9Q.Tn6rGr7XTM7t([i5cwjk9s0Osn(FfKOThdpoDTb, TtzqJLqe_ecy[ZlbFMSG8gCoF, :]).corrcoef for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(2209 - 2161) + chr(111) + '\060', 8), TtzqJLqe_ecy.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110000), 8)])])
stVGsv3MKjDy = stVGsv3MKjDy.transpose([nzTpIcepk0o8(chr(0b11 + 0o55) + chr(1391 - 1280) + chr(0b1010 + 0o47), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010), 53069 - 53061), nzTpIcepk0o8(chr(48) + '\157' + '\060', 8)])
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'i\xbc@\x19Q\xd9'), chr(0b1100100) + chr(0b1000001 + 0o44) + chr(0b1100011) + '\157' + '\144' + chr(4663 - 4562))(chr(0b1110101) + chr(151 - 35) + '\x66' + chr(45) + '\070')] == roI3spqORKae(ES5oEprVxulp(b'n\xb8W\x1aU\xd3x\xd0\xd2'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\157' + chr(0b11001 + 0o113) + chr(0b1100101))(chr(0b101011 + 0o112) + chr(116) + chr(102) + chr(0b101001 + 0o4) + chr(1481 - 1425)):
stVGsv3MKjDy = stVGsv3MKjDy * -nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + '\061', 8)
JUQrMk0_dQei = nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110000), 8)
if roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9<\xc0\xd6\xae'), '\144' + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1010111 + 0o16))('\165' + chr(0b111001 + 0o73) + chr(0b1100110) + chr(45) + chr(0b10001 + 0o47)) in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(0b1100100) + chr(0b1000011 + 0o42) + '\x63' + chr(0b0 + 0o157) + '\144' + chr(0b1100101))('\165' + chr(0b100000 + 0o124) + chr(0b1001100 + 0o32) + chr(1797 - 1752) + chr(0b111000)))():
stVGsv3MKjDy = nDF4gVNx0u9Q.transpose(stVGsv3MKjDy, [nzTpIcepk0o8('\x30' + chr(0b1110 + 0o141) + '\062', 8), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110000), 8), nzTpIcepk0o8(chr(48) + chr(4220 - 4109) + chr(1193 - 1144), 8)])
stVGsv3MKjDy = (stVGsv3MKjDy - stVGsv3MKjDy.JE1frtxECu3x(axis=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000), 8))) / stVGsv3MKjDy.AFfTx5xLlh3B(axis=nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8))
JUQrMk0_dQei = nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49), 8)
stVGsv3MKjDy = stVGsv3MKjDy * GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9<\xc0\xd6\xae'), chr(0b1000010 + 0o42) + '\x65' + chr(1429 - 1330) + chr(7136 - 7025) + '\144' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(45) + chr(56))]
stVGsv3MKjDy = stVGsv3MKjDy.transpose([nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(12068 - 11957) + chr(941 - 892), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010), 8), nzTpIcepk0o8('\060' + chr(578 - 467) + chr(1337 - 1289), 8)])
if roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9<\xdb\xd2\xbdC'), chr(0b1100100) + '\145' + '\143' + chr(111) + '\x64' + chr(101))('\x75' + chr(0b1000000 + 0o64) + chr(0b101 + 0o141) + chr(802 - 757) + '\x38') in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'o\xbcM\x02'), chr(0b1100100) + chr(6669 - 6568) + chr(99) + chr(111) + chr(100) + chr(4447 - 4346))(chr(2611 - 2494) + '\x74' + chr(2794 - 2692) + chr(0b100101 + 0o10) + '\x38'))():
stVGsv3MKjDy = nDF4gVNx0u9Q.transpose(stVGsv3MKjDy, [nzTpIcepk0o8('\060' + chr(10570 - 10459) + chr(0b110010), 8), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(48), 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b11010 + 0o27), 8)])
if JUQrMk0_dQei == nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(48), 8):
stVGsv3MKjDy = (stVGsv3MKjDy - stVGsv3MKjDy.JE1frtxECu3x(axis=nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110000), 8))) / stVGsv3MKjDy.AFfTx5xLlh3B(axis=nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 8))
stVGsv3MKjDy = stVGsv3MKjDy + GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b's\xbc]\x16V\xc9<\xdb\xd2\xbdC'), chr(0b1001 + 0o133) + '\145' + chr(9466 - 9367) + chr(111) + chr(0b1001011 + 0o31) + '\145')('\165' + chr(8853 - 8737) + '\146' + chr(0b101000 + 0o5) + '\070')]
stVGsv3MKjDy = nDF4gVNx0u9Q.transpose(stVGsv3MKjDy, [nzTpIcepk0o8(chr(0b110000) + chr(2787 - 2676) + chr(0b101101 + 0o4), 8), nzTpIcepk0o8(chr(331 - 283) + '\x6f' + '\062', 8), nzTpIcepk0o8(chr(1853 - 1805) + chr(0b1101111) + '\x30', 8)])
stVGsv3MKjDy = VK1Zu4D37FTM(stVGsv3MKjDy, nzTpIcepk0o8(chr(1966 - 1918) + chr(8744 - 8633) + '\x31', 8))
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b't\xb6G\x05N\xcf~'), '\144' + chr(0b101100 + 0o71) + chr(8084 - 7985) + '\x6f' + '\144' + chr(101))(chr(0b1101011 + 0o12) + chr(0b1110100) + chr(8546 - 8444) + chr(0b10010 + 0o33) + chr(0b11 + 0o65))] != roI3spqORKae(ES5oEprVxulp(b'j\xb6'), '\x64' + chr(0b101000 + 0o75) + chr(0b100110 + 0o75) + '\x6f' + '\x64' + chr(101))(chr(0b110000 + 0o105) + chr(0b1110100) + chr(2521 - 2419) + chr(0b101101) + chr(0b110101 + 0o3)):
(stVGsv3MKjDy, v850snntN8PO) = LbAysAFaq7Cg(stVGsv3MKjDy, GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b't\xb6G\x05N\xcf~'), chr(1296 - 1196) + chr(0b111011 + 0o52) + chr(0b1000110 + 0o35) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(6496 - 6380) + chr(0b1100110) + chr(0b101101) + '\x38')], v850snntN8PO)
stVGsv3MKjDy = VK1Zu4D37FTM(stVGsv3MKjDy, nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001), 8))
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), chr(7705 - 7605) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(0b101001 + 0o74))('\165' + chr(116) + '\x66' + chr(45) + chr(56))] == roI3spqORKae(ES5oEprVxulp(b'}\xbcG'), '\x64' + chr(0b1110 + 0o127) + chr(0b1100011) + chr(8763 - 8652) + chr(4424 - 4324) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b100 + 0o51) + '\x38') or GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9'), '\x64' + '\x65' + chr(0b1011 + 0o130) + chr(0b1101111) + '\144' + chr(101))(chr(117) + '\x74' + chr(0b1100011 + 0o3) + '\x2d' + '\070')]:
Wf7IFTQq3mmv(v850snntN8PO, GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xc6\xd6\xa8E'), chr(100) + chr(868 - 767) + chr(99) + chr(0b1001000 + 0o47) + chr(0b1100100) + chr(0b1100101))(chr(12796 - 12679) + chr(12679 - 12563) + chr(102) + chr(0b101101) + chr(1728 - 1672))], GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'v\xbcD\x1eL\xc9N\xd0\xde\xb0H\xb6\xdc%\xa8'), '\144' + chr(7070 - 6969) + chr(1295 - 1196) + '\157' + '\x64' + chr(101))(chr(117) + chr(0b11111 + 0o125) + chr(361 - 259) + '\055' + chr(56))])
return stVGsv3MKjDy |
wiheto/teneto | teneto/timeseries/derive.py | _weightfun_jackknife | def _weightfun_jackknife(T, report):
"""
Creates the weights for the jackknife method. See func: teneto.derive.derive.
"""
weights = np.ones([T, T])
np.fill_diagonal(weights, 0)
report['method'] = 'jackknife'
report['jackknife'] = ''
return weights, report | python | def _weightfun_jackknife(T, report):
"""
Creates the weights for the jackknife method. See func: teneto.derive.derive.
"""
weights = np.ones([T, T])
np.fill_diagonal(weights, 0)
report['method'] = 'jackknife'
report['jackknife'] = ''
return weights, report | [
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110011) + chr(0b110001) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(11580 - 11469) + chr(0b110011) + chr(0b110110) + '\064', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(1696 - 1647) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1000100 + 0o53) + chr(49) + '\063' + '\x33', 41239 - 41231), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + chr(584 - 534), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(1573 - 1521) + '\064', 42930 - 42922), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b11111 + 0o23) + chr(0b110110) + chr(2114 - 2059), 0b1000), nzTpIcepk0o8(chr(1776 - 1728) + chr(111) + chr(93 - 42) + chr(2475 - 2420) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(2838 - 2784) + chr(0b100101 + 0o21), 28665 - 28657), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2263 - 2212) + '\061' + '\065', ord("\x08")), nzTpIcepk0o8(chr(1250 - 1202) + '\157' + chr(0b110010) + '\x33' + chr(0b101110 + 0o10), 0o10), nzTpIcepk0o8(chr(48) + chr(10873 - 10762) + chr(0b110001) + chr(2265 - 2211) + '\065', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110011) + chr(408 - 353) + chr(1982 - 1933), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110000 + 0o2) + chr(0b10010 + 0o41), ord("\x08")), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(0b111001 + 0o66) + '\063' + chr(49) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b1101111) + chr(50) + chr(0b10 + 0o64) + chr(0b11101 + 0o32), 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b11000 + 0o34) + chr(0b101010 + 0o13), 44555 - 44547), nzTpIcepk0o8(chr(48) + chr(0b11111 + 0o120) + chr(0b110001) + '\x32' + chr(0b0 + 0o64), ord("\x08")), nzTpIcepk0o8(chr(1718 - 1670) + chr(111) + chr(1743 - 1692) + chr(0b110 + 0o56), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + '\x31' + chr(0b11001 + 0o34), 5599 - 5591), nzTpIcepk0o8(chr(1627 - 1579) + '\157' + chr(769 - 719) + chr(0b110100) + chr(1267 - 1216), 48525 - 48517), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + chr(0b1011 + 0o54) + chr(50), 39509 - 39501), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + '\x36' + chr(0b101111 + 0o10), 0o10), nzTpIcepk0o8(chr(1168 - 1120) + chr(0b1101111) + chr(313 - 262) + chr(2143 - 2094), ord("\x08")), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b11 + 0o56) + chr(2652 - 2599), 5640 - 5632), nzTpIcepk0o8('\060' + chr(4609 - 4498) + chr(0b110011) + '\x32' + '\060', 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(50) + chr(248 - 194), 0b1000), nzTpIcepk0o8(chr(2277 - 2229) + '\x6f' + chr(0b111 + 0o53) + chr(2012 - 1961) + chr(0b10010 + 0o44), 8), nzTpIcepk0o8(chr(1535 - 1487) + chr(0b1101111) + chr(0b110010 + 0o5) + chr(0b100010 + 0o24), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1100011 + 0o14) + chr(0b110100) + chr(0b110101), 8), nzTpIcepk0o8(chr(543 - 495) + chr(0b110 + 0o151) + chr(51) + chr(0b101010 + 0o15) + chr(53), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001) + '\061' + chr(0b101000 + 0o12), 20871 - 20863), nzTpIcepk0o8(chr(48) + chr(6996 - 6885) + chr(723 - 672), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(687 - 638) + chr(209 - 157) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(2035 - 1987) + chr(3311 - 3200) + chr(880 - 829) + '\x37' + '\061', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + '\062' + chr(0b101 + 0o54) + '\x37', 0o10), nzTpIcepk0o8('\x30' + '\157' + '\061' + '\061' + chr(0b101100 + 0o6), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + chr(0b10110 + 0o40) + chr(0b11101 + 0o25), 0o10), nzTpIcepk0o8(chr(1274 - 1226) + chr(0b1101111) + chr(0b11000 + 0o35) + chr(0b101001 + 0o14), 45636 - 45628)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + chr(53) + chr(1873 - 1825), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe5'), chr(0b1100100) + chr(3413 - 3312) + chr(0b111000 + 0o53) + chr(0b1101111) + chr(100) + '\x65')('\165' + '\x74' + '\x66' + chr(153 - 108) + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def yQX8icr3AZtX(hq6XE4_Nhd6R, v850snntN8PO):
TtzqJLqe_ecy = nDF4gVNx0u9Q.rYPkZ8_2D0X1([hq6XE4_Nhd6R, hq6XE4_Nhd6R])
roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xad\x9dd7M\x80\xde\x9fQl\xa3\xff\x19'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(0b111001 + 0o53) + '\x65')(chr(117) + '\164' + '\x66' + '\055' + '\070'))(TtzqJLqe_ecy, nzTpIcepk0o8(chr(48) + chr(111) + chr(0b1111 + 0o41), 0o10))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xa6\x91|3}\x80'), chr(100) + chr(1047 - 946) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(7595 - 7478) + chr(0b100000 + 0o124) + chr(0b1100101 + 0o1) + '\055' + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'\xa1\x95k0y\x8a\xde\x98S'), '\x64' + chr(0b111001 + 0o54) + chr(0b11 + 0o140) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(7381 - 7265) + chr(0b0 + 0o146) + '\055' + chr(0b111000 + 0o0))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xa1\x95k0y\x8a\xde\x98S'), chr(0b1100100) + chr(0b1100011 + 0o2) + chr(9657 - 9558) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1010001 + 0o25) + chr(0b101101) + chr(0b111000))] = roI3spqORKae(ES5oEprVxulp(b''), chr(5957 - 5857) + chr(101) + chr(6994 - 6895) + chr(0b1101111) + chr(100) + chr(0b11000 + 0o115))(chr(117) + chr(116) + chr(2653 - 2551) + chr(45) + chr(0b10001 + 0o47))
return (TtzqJLqe_ecy, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/derive.py | _weightfun_sliding_window | def _weightfun_sliding_window(T, params, report):
"""
Creates the weights for the sliding window method. See func: teneto.derive.derive.
"""
weightat0 = np.zeros(T)
weightat0[0:params['windowsize']] = np.ones(params['windowsize'])
weights = np.array([np.roll(weightat0, i)
for i in range(0, T + 1 - params['windowsize'])])
report['method'] = 'slidingwindow'
report['slidingwindow'] = params
report['slidingwindow']['taper'] = 'untapered/uniform'
return weights, report | python | def _weightfun_sliding_window(T, params, report):
"""
Creates the weights for the sliding window method. See func: teneto.derive.derive.
"""
weightat0 = np.zeros(T)
weightat0[0:params['windowsize']] = np.ones(params['windowsize'])
weights = np.array([np.roll(weightat0, i)
for i in range(0, T + 1 - params['windowsize'])])
report['method'] = 'slidingwindow'
report['slidingwindow'] = params
report['slidingwindow']['taper'] = 'untapered/uniform'
return weights, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/derive.py#L252-L263 | train | Create the weights for the sliding window method. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(974 - 926) + '\x6f' + chr(1780 - 1731) + chr(1773 - 1718) + '\x33', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + '\x32' + chr(0b110000) + '\x31', 0b1000), nzTpIcepk0o8('\x30' + chr(0b11111 + 0o120) + chr(1270 - 1220) + chr(0b0 + 0o60) + chr(52), 0o10), nzTpIcepk0o8(chr(1689 - 1641) + chr(0b1101111) + chr(0b1101 + 0o47), 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\157' + chr(0b110001) + chr(0b1010 + 0o55), ord("\x08")), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1010001 + 0o36) + chr(0b1011 + 0o50) + chr(259 - 208) + '\x37', 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b101011 + 0o104) + chr(2249 - 2199) + chr(641 - 591), 0o10), nzTpIcepk0o8(chr(1168 - 1120) + chr(0b110111 + 0o70) + '\062' + '\x32' + chr(65 - 17), 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + '\157' + chr(53) + chr(2297 - 2246), 0b1000), nzTpIcepk0o8(chr(333 - 285) + '\x6f' + chr(0b110011) + chr(0b11011 + 0o32) + '\x31', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\062' + chr(55) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(7223 - 7112) + chr(0b110011) + '\x36' + chr(52), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(2087 - 1976) + chr(1020 - 971) + chr(1171 - 1116) + chr(49), 17391 - 17383), nzTpIcepk0o8('\060' + chr(111) + chr(52) + '\067', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + '\061' + '\063', 26271 - 26263), nzTpIcepk0o8('\x30' + '\157' + '\x37' + chr(0b10000 + 0o41), 0o10), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\157' + chr(0b110011) + chr(48) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(416 - 367) + '\066' + '\066', 0b1000), nzTpIcepk0o8(chr(561 - 513) + chr(9578 - 9467) + chr(0b11011 + 0o26) + chr(0b110101) + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b111101 + 0o62) + '\x33' + '\067' + chr(0b101100 + 0o11), 0b1000), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110110) + chr(410 - 359), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1001110 + 0o41) + chr(1912 - 1863) + chr(51) + '\x33', 5368 - 5360), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b10110 + 0o34) + chr(0b110011) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31' + chr(55) + chr(0b1110 + 0o45), 8), nzTpIcepk0o8(chr(1850 - 1802) + chr(0b1101111) + chr(0b110010) + chr(0b100110 + 0o12) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(260 - 207) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\062' + chr(262 - 207) + chr(2039 - 1989), 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(9802 - 9691) + chr(51) + chr(0b110001) + chr(0b11011 + 0o34), ord("\x08")), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(0b1101111) + chr(1335 - 1286) + '\061' + chr(0b110011), 8), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + '\x33' + '\065' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061' + chr(52) + '\x31', 52271 - 52263), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x32' + chr(0b11001 + 0o32) + chr(1878 - 1826), 0b1000), nzTpIcepk0o8(chr(48) + chr(8619 - 8508) + chr(567 - 516) + chr(0b11011 + 0o32) + chr(1064 - 1012), 34052 - 34044), nzTpIcepk0o8(chr(48) + '\157' + chr(1173 - 1118) + chr(2155 - 2104), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(2164 - 2114) + '\x30' + chr(2092 - 2040), 8), nzTpIcepk0o8(chr(2205 - 2157) + chr(0b111101 + 0o62) + chr(0b10100 + 0o43) + chr(55), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110010) + chr(0b110010 + 0o3) + chr(0b1001 + 0o52), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(0b110101) + '\063', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(11475 - 11364) + '\x31' + chr(2276 - 2225) + '\065', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\157' + '\065' + '\x30', 22660 - 22652)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'U'), chr(0b1100100) + chr(0b1100010 + 0o3) + chr(3325 - 3226) + '\x6f' + chr(6048 - 5948) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(959 - 914) + chr(65 - 9)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def okdZ7e37V7wu(hq6XE4_Nhd6R, GVgFAYMz7Sw8, v850snntN8PO):
XrHv8Tvh616s = nDF4gVNx0u9Q.UmwwEp7MzR6q(hq6XE4_Nhd6R)
XrHv8Tvh616s[nzTpIcepk0o8('\060' + chr(2082 - 1971) + '\060', 0o10):GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\x0c\xe8\xea``\xa8a\xf9Q\x8c'), chr(0b10011 + 0o121) + chr(1133 - 1032) + chr(0b1100011) + chr(111) + chr(0b1011000 + 0o14) + chr(0b1100000 + 0o5))(chr(4445 - 4328) + '\x74' + chr(8609 - 8507) + chr(45) + '\070')]] = nDF4gVNx0u9Q.rYPkZ8_2D0X1(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\x0c\xe8\xea``\xa8a\xf9Q\x8c'), chr(7852 - 7752) + chr(0b1001111 + 0o26) + chr(99) + '\157' + '\144' + chr(0b101111 + 0o66))(chr(117) + chr(116) + '\x66' + '\055' + '\070')])
TtzqJLqe_ecy = nDF4gVNx0u9Q.Tn6rGr7XTM7t([nDF4gVNx0u9Q.roll(XrHv8Tvh616s, ZlbFMSG8gCoF) for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100110 + 0o12), 8), hq6XE4_Nhd6R + nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\061', 0b1000) - GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\x0c\xe8\xea``\xa8a\xf9Q\x8c'), chr(100) + chr(0b10110 + 0o117) + '\143' + chr(111) + '\144' + '\x65')('\165' + '\x74' + chr(0b11 + 0o143) + '\x2d' + chr(0b111000))])])
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x16\xe4\xf0l`\xbb'), chr(100) + chr(0b1000100 + 0o41) + '\x63' + '\x6f' + chr(0b11000 + 0o114) + chr(101))(chr(10563 - 10446) + chr(116) + chr(0b1001101 + 0o31) + '\x2d' + chr(2032 - 1976))] = roI3spqORKae(ES5oEprVxulp(b'\x08\xed\xed`f\xb1u\xe7B\x87\xdd\x9bh'), chr(5516 - 5416) + chr(0b1100010 + 0o3) + chr(7902 - 7803) + chr(0b1101111) + chr(0b1000000 + 0o44) + '\145')(chr(0b101000 + 0o115) + chr(116) + chr(0b1100 + 0o132) + chr(45) + chr(2039 - 1983))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x08\xed\xed`f\xb1u\xe7B\x87\xdd\x9bh'), chr(100) + '\145' + chr(0b111101 + 0o46) + '\157' + chr(0b1011010 + 0o12) + '\x65')(chr(0b1010001 + 0o44) + chr(116) + chr(841 - 739) + chr(0b101101) + '\070')] = GVgFAYMz7Sw8
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x08\xed\xed`f\xb1u\xe7B\x87\xdd\x9bh'), '\144' + chr(4806 - 4705) + '\x63' + '\x6f' + chr(0b11101 + 0o107) + '\145')(chr(12068 - 11951) + chr(116) + chr(0b1100110) + chr(0b10010 + 0o33) + '\x38')][roI3spqORKae(ES5oEprVxulp(b'\x0f\xe0\xf4a}'), chr(7269 - 7169) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(9546 - 9430) + '\146' + '\055' + chr(365 - 309))] = roI3spqORKae(ES5oEprVxulp(b'\x0e\xef\xf0e\x7f\xba`\xf5O\xc6\xcc\x9av\x1fH9T'), '\144' + chr(8647 - 8546) + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(1585 - 1485) + '\145')(chr(0b1011010 + 0o33) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000))
return (TtzqJLqe_ecy, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/derive.py | _weightfun_tapered_sliding_window | def _weightfun_tapered_sliding_window(T, params, report):
"""
Creates the weights for the tapered method. See func: teneto.derive.derive.
"""
x = np.arange(-(params['windowsize'] - 1) / 2, (params['windowsize']) / 2)
distribution_parameters = ','.join(map(str, params['distribution_params']))
taper = eval('sps.' + params['distribution'] +
'.pdf(x,' + distribution_parameters + ')')
weightat0 = np.zeros(T)
weightat0[0:params['windowsize']] = taper
weights = np.array([np.roll(weightat0, i)
for i in range(0, T + 1 - params['windowsize'])])
report['method'] = 'slidingwindow'
report['slidingwindow'] = params
report['slidingwindow']['taper'] = taper
report['slidingwindow']['taper_window'] = x
return weights, report | python | def _weightfun_tapered_sliding_window(T, params, report):
"""
Creates the weights for the tapered method. See func: teneto.derive.derive.
"""
x = np.arange(-(params['windowsize'] - 1) / 2, (params['windowsize']) / 2)
distribution_parameters = ','.join(map(str, params['distribution_params']))
taper = eval('sps.' + params['distribution'] +
'.pdf(x,' + distribution_parameters + ')')
weightat0 = np.zeros(T)
weightat0[0:params['windowsize']] = taper
weights = np.array([np.roll(weightat0, i)
for i in range(0, T + 1 - params['windowsize'])])
report['method'] = 'slidingwindow'
report['slidingwindow'] = params
report['slidingwindow']['taper'] = taper
report['slidingwindow']['taper_window'] = x
return weights, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/derive.py#L266-L283 | train | Function to create the weights for the tapered method. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + chr(1629 - 1580) + '\x34', 0o10), nzTpIcepk0o8('\060' + chr(12003 - 11892) + chr(2202 - 2153) + '\x35' + chr(52), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(7166 - 7055) + chr(0b110010) + chr(0b110101) + chr(644 - 590), 53345 - 53337), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1101111) + chr(1695 - 1644) + '\062' + chr(0b100011 + 0o21), 1726 - 1718), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(111) + chr(0b100010 + 0o25) + '\064', 0b1000), nzTpIcepk0o8(chr(232 - 184) + '\x6f' + chr(0b110011) + chr(683 - 634) + chr(1919 - 1870), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x33' + chr(0b110101), 64082 - 64074), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(111) + '\x31' + chr(894 - 839) + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1000100 + 0o53) + '\062' + chr(0b0 + 0o67) + '\061', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001) + chr(0b100010 + 0o16) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(420 - 372) + chr(0b1101111) + chr(0b110001) + chr(0b10101 + 0o33) + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(719 - 665), 11756 - 11748), nzTpIcepk0o8(chr(48) + '\157' + chr(0b11001 + 0o31) + chr(54) + '\066', 62753 - 62745), nzTpIcepk0o8(chr(1753 - 1705) + chr(0b1010010 + 0o35) + '\065' + '\062', 0b1000), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(2821 - 2710) + '\062' + chr(0b110001) + '\x33', 0b1000), nzTpIcepk0o8('\060' + chr(0b1111 + 0o140) + chr(52) + chr(0b110001 + 0o0), 0o10), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\x6f' + '\062' + '\x35' + chr(55), 1220 - 1212), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b0 + 0o61) + chr(0b110110) + chr(334 - 286), 44730 - 44722), nzTpIcepk0o8('\x30' + chr(111) + chr(1483 - 1434) + chr(50) + '\x37', 0b1000), nzTpIcepk0o8('\060' + chr(0b10101 + 0o132) + chr(0b110001 + 0o1) + '\x34' + chr(0b100110 + 0o20), 0o10), nzTpIcepk0o8('\060' + '\157' + '\062' + chr(1301 - 1250) + chr(2301 - 2251), 0o10), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1101111) + '\x33' + '\064' + '\067', 42927 - 42919), nzTpIcepk0o8('\x30' + chr(0b1001100 + 0o43) + '\x35' + '\060', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(1954 - 1905) + '\x32' + chr(48), 0b1000), nzTpIcepk0o8('\x30' + chr(3731 - 3620) + chr(0b110011) + chr(1576 - 1527) + chr(52), 8), nzTpIcepk0o8('\060' + chr(1902 - 1791) + chr(216 - 163) + chr(2833 - 2779), 53491 - 53483), nzTpIcepk0o8(chr(373 - 325) + chr(0b101011 + 0o104) + chr(391 - 342) + '\063' + chr(0b11111 + 0o27), 0o10), nzTpIcepk0o8(chr(220 - 172) + '\157' + '\x33' + chr(0b110011) + chr(1086 - 1033), ord("\x08")), nzTpIcepk0o8(chr(2103 - 2055) + chr(0b1101111) + chr(52) + chr(53), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(0b111 + 0o55) + '\x35', 0o10), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\x6f' + chr(0b110011) + '\x34' + chr(0b100100 + 0o22), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\062' + '\067' + '\x31', 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1082 - 1031) + '\x30' + '\067', 60679 - 60671), nzTpIcepk0o8(chr(302 - 254) + chr(0b101001 + 0o106) + chr(0b110111) + chr(0b101001 + 0o11), 37534 - 37526), nzTpIcepk0o8(chr(0b110000) + chr(9825 - 9714) + chr(53) + chr(54), 8), nzTpIcepk0o8('\x30' + chr(1610 - 1499) + chr(50) + chr(0b110010 + 0o3) + chr(49), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1001100 + 0o43) + '\062' + chr(54) + chr(50), 0b1000), nzTpIcepk0o8('\060' + chr(0b1011001 + 0o26) + chr(0b111 + 0o52) + chr(0b11110 + 0o22) + chr(55), 8), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(1386 - 1338) + '\x30', 24494 - 24486), nzTpIcepk0o8('\060' + '\x6f' + '\x32' + chr(0b110101) + chr(1658 - 1604), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101001 + 0o6) + chr(53) + chr(2071 - 2023), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe2'), chr(0b111 + 0o135) + '\145' + chr(99) + '\157' + chr(100) + chr(8413 - 8312))(chr(0b1010 + 0o153) + chr(116) + '\146' + chr(45) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def NyICI0D1DwNY(hq6XE4_Nhd6R, GVgFAYMz7Sw8, v850snntN8PO):
bI5jsQ9OkQtj = nDF4gVNx0u9Q.chmI_GMU_sEi(-(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xbb\x05\xc0\xb0S\xben\x15\xc3#'), chr(100) + chr(0b100110 + 0o77) + chr(0b1100011) + chr(0b10101 + 0o132) + chr(100) + '\x65')(chr(117) + chr(0b1011001 + 0o33) + chr(0b1100110) + chr(1448 - 1403) + chr(0b101110 + 0o12))] - nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(111) + chr(0b10110 + 0o33), 0o10)) / nzTpIcepk0o8(chr(48) + chr(5438 - 5327) + '\062', 0b1000), GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xbb\x05\xc0\xb0S\xben\x15\xc3#'), chr(0b1100100) + chr(0b100001 + 0o104) + '\x63' + chr(111) + '\144' + chr(101))(chr(0b101 + 0o160) + '\x74' + chr(0b1100110) + chr(45) + chr(0b110110 + 0o2))] / nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32', 8))
LOtrNanu7dR6 = roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(0b11001 + 0o113) + chr(4907 - 4806) + chr(0b1100011) + chr(0b1101111) + chr(4780 - 4680) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\x2d' + '\x38').Y4yM9BcfTCNq(VVP82lOIz6CD(N9zlRy29S1SS, GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xa8\x05\xdd\xa0N\xa0\x7f\t\xcd/(h\xe9Z\xeaS\xce\x1d$'), chr(0b1100010 + 0o2) + '\145' + chr(0b1100011) + chr(6020 - 5909) + chr(0b111010 + 0o52) + chr(7703 - 7602))(chr(0b11110 + 0o127) + '\x74' + chr(0b1011111 + 0o7) + '\x2d' + '\x38')]))
X4hAlWVob9Ax = Z5xOfqIptFuc(roI3spqORKae(ES5oEprVxulp(b'\xbf\x1c\xdd\xfa'), '\x64' + '\145' + chr(0b100001 + 0o102) + '\x6f' + '\144' + chr(10138 - 10037))('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)) + GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xa8\x05\xdd\xa0N\xa0\x7f\t\xcd/(h'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + '\144' + '\x65')(chr(11574 - 11457) + '\164' + '\146' + chr(800 - 755) + '\070')] + roI3spqORKae(ES5oEprVxulp(b'\xe2\x1c\xca\xb2\x14\xb11'), chr(0b1100100) + chr(4840 - 4739) + chr(4689 - 4590) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b110010 + 0o102) + chr(0b1011000 + 0o16) + '\x2d' + chr(0b110100 + 0o4)) + LOtrNanu7dR6 + roI3spqORKae(ES5oEprVxulp(b'\xe5'), chr(2669 - 2569) + chr(0b1100101) + chr(0b1011011 + 0o10) + chr(5565 - 5454) + '\x64' + '\145')(chr(9544 - 9427) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b11110 + 0o32)))
XrHv8Tvh616s = nDF4gVNx0u9Q.UmwwEp7MzR6q(hq6XE4_Nhd6R)
XrHv8Tvh616s[nzTpIcepk0o8(chr(48) + chr(5218 - 5107) + '\x30', 0o10):GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xbb\x05\xc0\xb0S\xben\x15\xc3#'), chr(4107 - 4007) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(5388 - 5287))(chr(117) + chr(1898 - 1782) + chr(102) + chr(0b101101) + chr(56))]] = X4hAlWVob9Ax
TtzqJLqe_ecy = nDF4gVNx0u9Q.Tn6rGr7XTM7t([nDF4gVNx0u9Q.roll(XrHv8Tvh616s, ZlbFMSG8gCoF) for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8('\x30' + chr(0b1001110 + 0o41) + '\x30', 8), hq6XE4_Nhd6R + nzTpIcepk0o8('\x30' + chr(0b101101 + 0o102) + chr(0b110001), 8) - GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xbb\x05\xc0\xb0S\xben\x15\xc3#'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(3924 - 3824) + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\x2d' + chr(56))])])
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xa1\t\xda\xbcS\xad'), chr(0b1011010 + 0o12) + chr(0b1100101) + chr(4277 - 4178) + '\157' + chr(0b1100100) + '\x65')(chr(0b1100011 + 0o22) + chr(116) + '\146' + chr(0b1011 + 0o42) + chr(0b111000))] = roI3spqORKae(ES5oEprVxulp(b'\xbf\x00\xc7\xb0U\xa7z\x0b\xd0(#i\xc1'), '\144' + chr(0b1001001 + 0o34) + '\143' + chr(4008 - 3897) + chr(8335 - 8235) + '\145')('\x75' + chr(116) + chr(0b1100110) + chr(0b1111 + 0o36) + '\070')
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xbf\x00\xc7\xb0U\xa7z\x0b\xd0(#i\xc1'), chr(9035 - 8935) + chr(0b1100101) + '\x63' + '\157' + chr(6972 - 6872) + '\145')('\x75' + chr(116) + '\146' + chr(1475 - 1430) + '\x38')] = GVgFAYMz7Sw8
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xbf\x00\xc7\xb0U\xa7z\x0b\xd0(#i\xc1'), '\x64' + chr(0b101101 + 0o70) + chr(369 - 270) + chr(0b110011 + 0o74) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070')][roI3spqORKae(ES5oEprVxulp(b'\xb8\r\xde\xb1N'), chr(0b1100000 + 0o4) + '\145' + chr(0b1100011) + chr(329 - 218) + chr(8108 - 8008) + chr(101))(chr(117) + '\164' + chr(6524 - 6422) + '\x2d' + '\070')] = X4hAlWVob9Ax
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xbf\x00\xc7\xb0U\xa7z\x0b\xd0(#i\xc1'), '\x64' + chr(0b111110 + 0o47) + chr(0b1100011) + '\x6f' + chr(0b1000001 + 0o43) + chr(0b101011 + 0o72))('\x75' + '\164' + chr(1261 - 1159) + '\x2d' + '\x38')][roI3spqORKae(ES5oEprVxulp(b'\xb8\r\xde\xb1N\x96j\x15\xd7"(q'), chr(0b1011010 + 0o12) + chr(0b1100101) + '\x63' + chr(0b111111 + 0o60) + '\x64' + '\145')(chr(0b11001 + 0o134) + chr(116) + chr(0b1100110) + '\055' + chr(0b110101 + 0o3))] = bI5jsQ9OkQtj
return (TtzqJLqe_ecy, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/derive.py | _weightfun_spatial_distance | def _weightfun_spatial_distance(data, params, report):
"""
Creates the weights for the spatial distance method. See func: teneto.derive.derive.
"""
distance = getDistanceFunction(params['distance'])
weights = np.array([distance(data[n, :], data[t, :]) for n in np.arange(
0, data.shape[0]) for t in np.arange(0, data.shape[0])])
weights = np.reshape(weights, [data.shape[0], data.shape[0]])
np.fill_diagonal(weights, np.nan)
weights = 1 / weights
weights = (weights - np.nanmin(weights)) / \
(np.nanmax(weights) - np.nanmin(weights))
np.fill_diagonal(weights, 1)
return weights, report | python | def _weightfun_spatial_distance(data, params, report):
"""
Creates the weights for the spatial distance method. See func: teneto.derive.derive.
"""
distance = getDistanceFunction(params['distance'])
weights = np.array([distance(data[n, :], data[t, :]) for n in np.arange(
0, data.shape[0]) for t in np.arange(0, data.shape[0])])
weights = np.reshape(weights, [data.shape[0], data.shape[0]])
np.fill_diagonal(weights, np.nan)
weights = 1 / weights
weights = (weights - np.nanmin(weights)) / \
(np.nanmax(weights) - np.nanmin(weights))
np.fill_diagonal(weights, 1)
return weights, report | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/derive.py#L286-L299 | train | Create the weights for the spatial distance method. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\x6f' + chr(0b101011 + 0o6) + chr(1471 - 1423) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(1970 - 1922) + chr(0b1000110 + 0o51) + '\x32' + chr(0b110010) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(1602 - 1553) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(1268 - 1220) + '\157' + chr(0b110001) + chr(0b110111) + chr(1620 - 1569), 25086 - 25078), nzTpIcepk0o8('\x30' + chr(0b1001100 + 0o43) + chr(863 - 814), 0o10), nzTpIcepk0o8('\x30' + chr(0b111111 + 0o60) + '\x33' + chr(0b110100) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b11111 + 0o23) + '\066' + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1011 + 0o144) + chr(2286 - 2232) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1780 - 1731) + '\066', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\066' + chr(0b110111), 11234 - 11226), nzTpIcepk0o8(chr(2072 - 2024) + '\157' + '\x32' + '\062' + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1011111 + 0o20) + chr(0b101101 + 0o4) + chr(53) + chr(0b110010), 3245 - 3237), nzTpIcepk0o8('\060' + chr(11812 - 11701) + chr(0b100111 + 0o13) + '\066', 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(50) + chr(0b100 + 0o60), 43713 - 43705), nzTpIcepk0o8(chr(48) + chr(0b1000110 + 0o51) + chr(0b110110) + '\064', 44471 - 44463), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + chr(1082 - 1030) + chr(0b101101 + 0o4), 0b1000), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(51) + '\063' + chr(55), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(348 - 297) + chr(2407 - 2352) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + chr(53) + '\061', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11000 + 0o36), 0o10), nzTpIcepk0o8(chr(0b101001 + 0o7) + '\157' + '\x32' + '\062' + chr(641 - 588), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101110 + 0o3) + chr(836 - 787) + chr(1351 - 1296), 52396 - 52388), nzTpIcepk0o8(chr(0b110000) + chr(11158 - 11047) + chr(51) + '\061' + chr(0b1111 + 0o44), 0b1000), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(0b10101 + 0o132) + chr(648 - 598) + chr(0b110000) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31' + chr(53) + chr(373 - 322), 9770 - 9762), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(6372 - 6261) + '\x33' + chr(0b101010 + 0o11) + chr(0b101011 + 0o5), 0b1000), nzTpIcepk0o8(chr(1263 - 1215) + chr(3051 - 2940) + chr(50) + chr(0b10100 + 0o34) + chr(0b1010 + 0o52), 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x32' + '\064' + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + '\061' + chr(0b10110 + 0o35), 8), nzTpIcepk0o8(chr(0b110000) + chr(10069 - 9958) + chr(51) + '\065' + chr(0b1110 + 0o44), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b100110 + 0o13) + chr(55) + chr(54), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\x32' + chr(0b110000 + 0o6) + '\x36', 4594 - 4586), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011 + 0o0) + chr(0b11110 + 0o25) + chr(1087 - 1036), 50156 - 50148), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b101010 + 0o7) + chr(54) + chr(0b110000 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x31' + chr(0b110011) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(2791 - 2680) + chr(54) + '\065', 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + '\x6f' + chr(732 - 677) + chr(0b1101 + 0o52), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\063' + '\066' + chr(0b10000 + 0o40), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(1845 - 1796) + '\x34' + chr(0b110011), 0o10), nzTpIcepk0o8(chr(2012 - 1964) + '\x6f' + chr(505 - 456) + chr(55) + '\x35', 28163 - 28155)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + chr(2656 - 2603) + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'j'), chr(100) + '\x65' + '\143' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def gv3nXRrsC4j5(FfKOThdpoDTb, GVgFAYMz7Sw8, v850snntN8PO):
cWxJ9qIyBuTI = EOkOw5Zeza5w(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b' \xfe\xbb\x0f`\x89\xd3T'), chr(8975 - 8875) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + '\x65')('\x75' + chr(10572 - 10456) + chr(0b101011 + 0o73) + chr(45) + chr(0b101 + 0o63))])
TtzqJLqe_ecy = nDF4gVNx0u9Q.Tn6rGr7XTM7t([cWxJ9qIyBuTI(FfKOThdpoDTb[NoZxuO7wjArS, :], FfKOThdpoDTb[h3Vc_4wxEbgd, :]) for NoZxuO7wjArS in nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(0b110000) + chr(7648 - 7537) + chr(0b110000), 0o10), FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1905 - 1857), 8)]) for h3Vc_4wxEbgd in nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(900 - 852) + '\157' + chr(0b0 + 0o60), 8), FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(1606 - 1558) + '\x6f' + chr(1893 - 1845), 8)])])
TtzqJLqe_ecy = nDF4gVNx0u9Q.reshape(TtzqJLqe_ecy, [FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(795 - 747) + chr(0b11010 + 0o125) + chr(0b11011 + 0o25), 8)], FfKOThdpoDTb.lhbM092AFW8f[nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(4678 - 4567) + '\060', 8)]])
roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'"\xfe\xa4\x17^\x83\xd9PiX\xfc\x0bz'), '\144' + chr(0b1001 + 0o134) + '\x63' + chr(111) + '\x64' + chr(101))('\165' + chr(0b1110100) + '\x66' + chr(141 - 96) + chr(0b100110 + 0o22)))(TtzqJLqe_ecy, roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'*\xf6\xa6'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(0b1001111 + 0o25) + chr(101))(chr(0b11100 + 0o131) + chr(7129 - 7013) + chr(3363 - 3261) + '\055' + chr(1009 - 953))))
TtzqJLqe_ecy = nzTpIcepk0o8('\060' + '\x6f' + chr(49), 8) / TtzqJLqe_ecy
TtzqJLqe_ecy = (TtzqJLqe_ecy - nDF4gVNx0u9Q.nanmin(TtzqJLqe_ecy)) / (nDF4gVNx0u9Q.nanmax(TtzqJLqe_ecy) - nDF4gVNx0u9Q.nanmin(TtzqJLqe_ecy))
roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'"\xfe\xa4\x17^\x83\xd9PiX\xfc\x0bz'), chr(0b1100100) + chr(101) + chr(9021 - 8922) + '\157' + '\144' + '\x65')(chr(149 - 32) + '\x74' + chr(3941 - 3839) + chr(45) + chr(0b111000)))(TtzqJLqe_ecy, nzTpIcepk0o8(chr(48) + '\157' + chr(0b101101 + 0o4), 8))
return (TtzqJLqe_ecy, v850snntN8PO) |
wiheto/teneto | teneto/timeseries/derive.py | _temporal_derivative | def _temporal_derivative(data, params, report):
"""
Performs mtd method. See func: teneto.derive.derive.
"""
# Data should be timexnode
report = {}
# Derivative
tdat = data[1:, :] - data[:-1, :]
# Normalize
tdat = tdat / np.std(tdat, axis=0)
# Coupling
coupling = np.array([tdat[:, i] * tdat[:, j] for i in np.arange(0,
tdat.shape[1]) for j in np.arange(0, tdat.shape[1])])
coupling = np.reshape(
coupling, [tdat.shape[1], tdat.shape[1], tdat.shape[0]])
# Average over window using strides
shape = coupling.shape[:-1] + (coupling.shape[-1] -
params['windowsize'] + 1, params['windowsize'])
strides = coupling.strides + (coupling.strides[-1],)
coupling_windowed = np.mean(np.lib.stride_tricks.as_strided(
coupling, shape=shape, strides=strides), -1)
report = {}
report['method'] = 'temporalderivative'
report['temporalderivative'] = {}
report['temporalderivative']['windowsize'] = params['windowsize']
return coupling_windowed, report | python | def _temporal_derivative(data, params, report):
"""
Performs mtd method. See func: teneto.derive.derive.
"""
# Data should be timexnode
report = {}
# Derivative
tdat = data[1:, :] - data[:-1, :]
# Normalize
tdat = tdat / np.std(tdat, axis=0)
# Coupling
coupling = np.array([tdat[:, i] * tdat[:, j] for i in np.arange(0,
tdat.shape[1]) for j in np.arange(0, tdat.shape[1])])
coupling = np.reshape(
coupling, [tdat.shape[1], tdat.shape[1], tdat.shape[0]])
# Average over window using strides
shape = coupling.shape[:-1] + (coupling.shape[-1] -
params['windowsize'] + 1, params['windowsize'])
strides = coupling.strides + (coupling.strides[-1],)
coupling_windowed = np.mean(np.lib.stride_tricks.as_strided(
coupling, shape=shape, strides=strides), -1)
report = {}
report['method'] = 'temporalderivative'
report['temporalderivative'] = {}
report['temporalderivative']['windowsize'] = params['windowsize']
return coupling_windowed, report | [
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"derive",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/derive.py#L302-L330 | train | Performs mtd method. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(8466 - 8355) + '\062' + chr(51) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(2043 - 1995) + chr(0b1101111) + '\x33' + chr(0b111 + 0o55) + '\x37', 39851 - 39843), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + chr(0b100 + 0o57), 0o10), nzTpIcepk0o8(chr(1170 - 1122) + chr(0b1011110 + 0o21) + chr(54) + chr(1392 - 1342), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b1110 + 0o42) + chr(53), 23625 - 23617), nzTpIcepk0o8('\060' + chr(11187 - 11076) + chr(51) + chr(54) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(1083 - 1035) + chr(0b1101111) + chr(2269 - 2218) + '\062' + chr(0b110001 + 0o1), 0b1000), nzTpIcepk0o8(chr(1365 - 1317) + chr(0b1001101 + 0o42) + '\062' + chr(49) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(51) + '\064' + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(1000 - 952) + chr(111) + chr(0b110011) + chr(2930 - 2875), 42330 - 42322), nzTpIcepk0o8(chr(0b111 + 0o51) + '\x6f' + chr(50) + '\x34' + chr(0b11011 + 0o27), 52187 - 52179), nzTpIcepk0o8('\060' + chr(0b1011 + 0o144) + chr(0b11010 + 0o33) + chr(1720 - 1672), ord("\x08")), nzTpIcepk0o8(chr(71 - 23) + chr(0b11110 + 0o121) + '\x34', 28526 - 28518), nzTpIcepk0o8(chr(48) + chr(5365 - 5254) + chr(0b110001) + '\060' + chr(2395 - 2345), ord("\x08")), nzTpIcepk0o8(chr(0b11111 + 0o21) + '\157' + chr(50) + chr(52) + '\x30', 0b1000), nzTpIcepk0o8('\x30' + chr(1708 - 1597) + chr(0b110001) + '\066' + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b101 + 0o152) + '\062' + chr(0b101010 + 0o11) + chr(1771 - 1717), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b1100 + 0o46) + chr(52) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(6222 - 6111) + '\063' + chr(51) + chr(0b1000 + 0o50), 0o10), nzTpIcepk0o8('\060' + chr(3811 - 3700) + chr(51) + chr(0b110000) + '\061', 0o10), nzTpIcepk0o8('\060' + chr(0b1111 + 0o140) + chr(0b110010) + chr(0b101000 + 0o13) + chr(573 - 520), 0b1000), nzTpIcepk0o8(chr(2182 - 2134) + chr(0b101111 + 0o100) + chr(0b11000 + 0o32) + chr(0b110011) + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + chr(1330 - 1276) + '\x36', 47631 - 47623), nzTpIcepk0o8('\x30' + '\157' + '\x33' + chr(0b110000) + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\x31' + '\063' + chr(733 - 681), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(881 - 831) + chr(0b11111 + 0o27) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b101 + 0o152) + chr(1090 - 1036) + chr(0b11011 + 0o31), 0b1000), nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(0b1101111) + chr(50) + '\067' + chr(747 - 692), 0o10), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + chr(0b110010) + chr(2212 - 2161), 30456 - 30448), nzTpIcepk0o8(chr(1927 - 1879) + chr(0b1101111) + chr(0b110011) + chr(52) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(11953 - 11842) + chr(2540 - 2489) + '\x32' + chr(255 - 206), 0o10), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\157' + '\061' + chr(48) + chr(0b110011), 28867 - 28859), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(274 - 163) + chr(0b100011 + 0o23), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32' + '\061' + '\063', 8), nzTpIcepk0o8(chr(1850 - 1802) + '\157' + chr(51) + chr(0b10001 + 0o37) + '\064', 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b11000 + 0o31) + chr(53) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(1005 - 894) + chr(49) + chr(52) + chr(49), 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + '\157' + chr(1391 - 1340) + chr(0b101010 + 0o13) + chr(0b111 + 0o56), 0o10), nzTpIcepk0o8(chr(48) + chr(0b10101 + 0o132) + chr(0b101001 + 0o10) + '\066', ord("\x08")), nzTpIcepk0o8(chr(483 - 435) + chr(0b1101111) + chr(2184 - 2135) + chr(0b11101 + 0o30) + chr(0b110010), 8966 - 8958)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\x6f' + '\065' + '\060', 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb5'), chr(5221 - 5121) + chr(101) + chr(3889 - 3790) + '\157' + chr(1913 - 1813) + chr(0b1100101))('\165' + chr(0b1110100) + '\x66' + chr(340 - 295) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def mhJGyL0IXpiO(FfKOThdpoDTb, GVgFAYMz7Sw8, v850snntN8PO):
v850snntN8PO = {}
Pu6zdobBjuOr = FfKOThdpoDTb[nzTpIcepk0o8(chr(0b110000) + chr(6408 - 6297) + chr(0b110001), 60118 - 60110):, :] - FfKOThdpoDTb[:-nzTpIcepk0o8('\x30' + chr(10792 - 10681) + chr(0b101001 + 0o10), 8), :]
Pu6zdobBjuOr = Pu6zdobBjuOr / nDF4gVNx0u9Q.AFfTx5xLlh3B(Pu6zdobBjuOr, axis=nzTpIcepk0o8(chr(48) + chr(7161 - 7050) + chr(0b110000), 0b1000))
T7NZ1nZpTAtE = nDF4gVNx0u9Q.Tn6rGr7XTM7t([Pu6zdobBjuOr[:, ZlbFMSG8gCoF] * Pu6zdobBjuOr[:, sChW4gUsXrIC] for ZlbFMSG8gCoF in nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(0b110000) + chr(0b1100 + 0o143) + chr(0b10010 + 0o36), 8), Pu6zdobBjuOr.lhbM092AFW8f[nzTpIcepk0o8(chr(2215 - 2167) + chr(111) + '\x31', 8)]) for sChW4gUsXrIC in nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11010 + 0o26), 8), Pu6zdobBjuOr.lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(111) + '\061', 8)])])
T7NZ1nZpTAtE = nDF4gVNx0u9Q.reshape(T7NZ1nZpTAtE, [Pu6zdobBjuOr.lhbM092AFW8f[nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1100100 + 0o13) + chr(2010 - 1961), 8)], Pu6zdobBjuOr.lhbM092AFW8f[nzTpIcepk0o8('\060' + '\x6f' + chr(1042 - 993), 8)], Pu6zdobBjuOr.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(48), 8)]])
lhbM092AFW8f = T7NZ1nZpTAtE.lhbM092AFW8f[:-nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001 + 0o0), 8)] + (T7NZ1nZpTAtE.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b10101 + 0o33) + '\x6f' + chr(363 - 314), 8)] - GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xec\x8emV\xaa\x84\xa1\xe2\x99z'), '\x64' + chr(101) + chr(0b1010110 + 0o15) + chr(0b1101111) + '\144' + chr(0b10011 + 0o122))('\165' + chr(0b101110 + 0o106) + chr(102) + chr(45) + '\x38')] + nzTpIcepk0o8('\060' + chr(111) + chr(49), 8), GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xec\x8emV\xaa\x84\xa1\xe2\x99z'), '\144' + '\145' + '\143' + '\x6f' + '\x64' + chr(4753 - 4652))('\165' + chr(0b1110100) + chr(0b110010 + 0o64) + chr(739 - 694) + chr(1145 - 1089))])
bkvSfGFi2cL4 = T7NZ1nZpTAtE.strides + (T7NZ1nZpTAtE.strides[-nzTpIcepk0o8('\060' + chr(0b11100 + 0o123) + '\061', 8)],)
YaNWenipwHRp = nDF4gVNx0u9Q.JE1frtxECu3x(nDF4gVNx0u9Q.lib.stride_tricks.as_strided(T7NZ1nZpTAtE, shape=lhbM092AFW8f, strides=bkvSfGFi2cL4), -nzTpIcepk0o8(chr(48) + '\157' + chr(0b11101 + 0o24), 8))
v850snntN8PO = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xf6\x82wZ\xaa\x97'), chr(6606 - 6506) + '\x65' + chr(0b101 + 0o136) + '\x6f' + chr(0b1010111 + 0o15) + chr(351 - 250))('\165' + '\x74' + chr(102) + chr(1488 - 1443) + '\070')] = roI3spqORKae(ES5oEprVxulp(b'\xef\x82nB\xaa\x81\xb3\xe7\x87z\xd0Ar#\xd4\x1f\xe8\xc2'), chr(1400 - 1300) + chr(629 - 528) + '\143' + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1011011 + 0o13) + '\055' + chr(56))
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xef\x82nB\xaa\x81\xb3\xe7\x87z\xd0Ar#\xd4\x1f\xe8\xc2'), '\144' + chr(0b1100101) + chr(8421 - 8322) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1011011 + 0o32) + '\164' + chr(102) + chr(0b1000 + 0o45) + '\x38')] = {}
v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\xef\x82nB\xaa\x81\xb3\xe7\x87z\xd0Ar#\xd4\x1f\xe8\xc2'), chr(9371 - 9271) + '\145' + chr(2060 - 1961) + chr(0b1101111 + 0o0) + '\144' + chr(7565 - 7464))('\x75' + chr(116) + chr(102) + chr(0b11000 + 0o25) + '\070')][roI3spqORKae(ES5oEprVxulp(b'\xec\x8emV\xaa\x84\xa1\xe2\x99z'), chr(841 - 741) + '\145' + '\143' + chr(111) + '\x64' + '\x65')('\x75' + '\x74' + chr(0b1011111 + 0o7) + chr(0b101101) + chr(242 - 186))] = GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'\xec\x8emV\xaa\x84\xa1\xe2\x99z'), chr(0b1100100) + '\x65' + chr(8766 - 8667) + chr(111) + chr(3323 - 3223) + chr(3094 - 2993))(chr(5805 - 5688) + chr(0b1110100) + chr(102) + chr(45) + chr(0b11110 + 0o32))]
return (YaNWenipwHRp, v850snntN8PO) |
wiheto/teneto | teneto/utils/utils.py | binarize_percent | def binarize_percent(netin, level, sign='pos', axis='time'):
"""
Binarizes a network proprtionally. When axis='time' (only one available at the moment) then the top values for each edge time series are considered.
Parameters
----------
netin : array or dict
network (graphlet or contact representation),
level : float
Percent to keep (expressed as decimal, e.g. 0.1 = top 10%)
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str, default='time'
Specify which dimension thresholding is applied against. Can be 'time' (takes top % for each edge time-series) or 'graphlet' (takes top % for each graphlet)
Returns
-------
netout : array or dict (depending on input)
Binarized network
"""
netin, netinfo = process_input(netin, ['C', 'G', 'TO'])
# Set diagonal to 0
netin = set_diagonal(netin, 0)
if axis == 'graphlet' and netinfo['nettype'][-1] == 'u':
triu = np.triu_indices(netinfo['netshape'][0], k=1)
netin = netin[triu[0], triu[1], :]
netin = netin.transpose()
if sign == 'both':
net_sorted = np.argsort(np.abs(netin), axis=-1)
elif sign == 'pos':
net_sorted = np.argsort(netin, axis=-1)
elif sign == 'neg':
net_sorted = np.argsort(-1*netin, axis=-1)
else:
raise ValueError('Unknown value for parameter: sign')
# Predefine
netout = np.zeros(netinfo['netshape'])
if axis == 'time':
# These for loops can probabaly be removed for speed
for i in range(netinfo['netshape'][0]):
for j in range(netinfo['netshape'][1]):
netout[i, j, net_sorted[i, j, -
int(round(net_sorted.shape[-1])*level):]] = 1
elif axis == 'graphlet':
netout_tmp = np.zeros(netin.shape)
for i in range(netout_tmp.shape[0]):
netout_tmp[i, net_sorted[i, -
int(round(net_sorted.shape[-1])*level):]] = 1
netout_tmp = netout_tmp.transpose()
netout[triu[0], triu[1], :] = netout_tmp
netout[triu[1], triu[0], :] = netout_tmp
netout = set_diagonal(netout, 0)
# If input is contact, output contact
if netinfo['inputtype'] == 'C':
netinfo['nettype'] = 'b' + netinfo['nettype'][1]
netout = graphlet2contact(netout, netinfo)
netout.pop('inputtype')
netout.pop('values')
netout['diagonal'] = 0
return netout | python | def binarize_percent(netin, level, sign='pos', axis='time'):
"""
Binarizes a network proprtionally. When axis='time' (only one available at the moment) then the top values for each edge time series are considered.
Parameters
----------
netin : array or dict
network (graphlet or contact representation),
level : float
Percent to keep (expressed as decimal, e.g. 0.1 = top 10%)
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str, default='time'
Specify which dimension thresholding is applied against. Can be 'time' (takes top % for each edge time-series) or 'graphlet' (takes top % for each graphlet)
Returns
-------
netout : array or dict (depending on input)
Binarized network
"""
netin, netinfo = process_input(netin, ['C', 'G', 'TO'])
# Set diagonal to 0
netin = set_diagonal(netin, 0)
if axis == 'graphlet' and netinfo['nettype'][-1] == 'u':
triu = np.triu_indices(netinfo['netshape'][0], k=1)
netin = netin[triu[0], triu[1], :]
netin = netin.transpose()
if sign == 'both':
net_sorted = np.argsort(np.abs(netin), axis=-1)
elif sign == 'pos':
net_sorted = np.argsort(netin, axis=-1)
elif sign == 'neg':
net_sorted = np.argsort(-1*netin, axis=-1)
else:
raise ValueError('Unknown value for parameter: sign')
# Predefine
netout = np.zeros(netinfo['netshape'])
if axis == 'time':
# These for loops can probabaly be removed for speed
for i in range(netinfo['netshape'][0]):
for j in range(netinfo['netshape'][1]):
netout[i, j, net_sorted[i, j, -
int(round(net_sorted.shape[-1])*level):]] = 1
elif axis == 'graphlet':
netout_tmp = np.zeros(netin.shape)
for i in range(netout_tmp.shape[0]):
netout_tmp[i, net_sorted[i, -
int(round(net_sorted.shape[-1])*level):]] = 1
netout_tmp = netout_tmp.transpose()
netout[triu[0], triu[1], :] = netout_tmp
netout[triu[1], triu[0], :] = netout_tmp
netout = set_diagonal(netout, 0)
# If input is contact, output contact
if netinfo['inputtype'] == 'C':
netinfo['nettype'] = 'b' + netinfo['nettype'][1]
netout = graphlet2contact(netout, netinfo)
netout.pop('inputtype')
netout.pop('values')
netout['diagonal'] = 0
return netout | [
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"# Set diagonal to ... | Binarizes a network proprtionally. When axis='time' (only one available at the moment) then the top values for each edge time series are considered.
Parameters
----------
netin : array or dict
network (graphlet or contact representation),
level : float
Percent to keep (expressed as decimal, e.g. 0.1 = top 10%)
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str, default='time'
Specify which dimension thresholding is applied against. Can be 'time' (takes top % for each edge time-series) or 'graphlet' (takes top % for each graphlet)
Returns
-------
netout : array or dict (depending on input)
Binarized network | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L214-L279 | train | Binarizes a network according to a given thresholding. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(514 - 466) + '\157' + '\061' + '\063' + chr(0b110100), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110100) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b10111 + 0o130) + '\062' + chr(53) + chr(0b110 + 0o60), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b11111 + 0o24) + chr(373 - 324) + chr(0b100111 + 0o16), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2467 - 2414) + chr(0b101100 + 0o6), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2227 - 2172) + chr(2055 - 2006), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1100010 + 0o15) + chr(1834 - 1783) + chr(625 - 576) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(0b1011101 + 0o22) + '\x33' + chr(758 - 707) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(279 - 231) + chr(0b111110 + 0o61) + '\063' + chr(111 - 63), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(2033 - 1984) + chr(54) + chr(943 - 892), 0o10), nzTpIcepk0o8(chr(1823 - 1775) + '\x6f' + chr(0b110011) + '\x30', 8), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\x6f' + chr(51) + '\x33' + '\060', 8), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + '\x36' + '\065', 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x37' + chr(50), 49811 - 49803), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1011111 + 0o20) + chr(0b11001 + 0o32) + chr(0b101 + 0o53) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + '\062' + chr(0b110011), 47306 - 47298), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b10011 + 0o40) + chr(0b101011 + 0o12) + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b10110 + 0o34) + chr(54) + '\x36', 13170 - 13162), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(111) + '\063' + chr(0b1 + 0o57) + chr(51), 8), nzTpIcepk0o8('\x30' + chr(0b1000000 + 0o57) + chr(0b110001) + chr(2239 - 2190) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110010 + 0o0) + '\067' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(257 - 209) + chr(0b1001100 + 0o43) + chr(0b110100) + '\x32', 8), nzTpIcepk0o8(chr(0b10111 + 0o31) + '\157' + '\065' + '\x35', ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110010) + chr(1581 - 1530) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b101 + 0o53) + chr(12132 - 12021) + chr(0b110110) + chr(0b110011), 9078 - 9070), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(655 - 606) + '\x30' + chr(2161 - 2109), 0o10), nzTpIcepk0o8(chr(0b11110 + 0o22) + '\x6f' + chr(0b110111) + chr(0b110011), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(50) + '\x37' + '\063', 8), nzTpIcepk0o8('\060' + chr(0b1001101 + 0o42) + chr(0b110011) + chr(0b110111) + chr(49), ord("\x08")), nzTpIcepk0o8('\060' + chr(5836 - 5725) + chr(648 - 599) + chr(0b100001 + 0o22) + chr(51), 0b1000), nzTpIcepk0o8(chr(2126 - 2078) + '\x6f' + '\067' + '\066', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b10001 + 0o40) + '\x30', 38157 - 38149), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(6719 - 6608) + chr(1184 - 1130) + chr(53), 457 - 449), nzTpIcepk0o8('\060' + chr(8656 - 8545) + chr(0b110001) + '\x34' + chr(0b110011), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110010) + '\x31' + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + chr(1693 - 1582) + chr(0b110001) + chr(52) + '\x35', 0o10), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110011) + '\066' + '\066', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1100011 + 0o14) + chr(0b100110 + 0o17) + '\x37', 32175 - 32167), nzTpIcepk0o8(chr(542 - 494) + chr(111) + '\x31' + chr(54) + chr(0b110001), 30272 - 30264)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b1011001 + 0o26) + '\065' + '\x30', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'r'), chr(100) + '\x65' + chr(3085 - 2986) + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b11110 + 0o107))('\x75' + chr(0b1010111 + 0o35) + '\x66' + chr(135 - 90) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def fWolEQ_jAEDK(i6T3RZXpABN6, OHMe9lml54lU, kkYdZa5PRs5b=roI3spqORKae(ES5oEprVxulp(b',M\xdd'), chr(0b1011110 + 0o6) + chr(0b111011 + 0o52) + chr(0b1100011) + '\157' + '\144' + chr(4324 - 4223))(chr(7232 - 7115) + chr(11820 - 11704) + chr(102) + chr(1684 - 1639) + '\x38'), JD902pvyCLH1=roI3spqORKae(ES5oEprVxulp(b'(K\xc3\xa8'), chr(0b100111 + 0o75) + chr(101) + '\x63' + '\x6f' + chr(100) + chr(5877 - 5776))(chr(0b1110101) + chr(116) + chr(263 - 161) + '\055' + chr(0b111000))):
(i6T3RZXpABN6, CHqJ5ht8kzQa) = RMWMODhhKksQ(i6T3RZXpABN6, [roI3spqORKae(ES5oEprVxulp(b'\x1f'), '\x64' + '\x65' + '\x63' + '\x6f' + chr(8038 - 7938) + chr(0b101010 + 0o73))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\x1b'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(9499 - 9388) + chr(0b1100100) + '\145')(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(2799 - 2743)), roI3spqORKae(ES5oEprVxulp(b'\x08m'), '\x64' + chr(0b1011000 + 0o15) + '\x63' + '\x6f' + '\x64' + chr(0b1010 + 0o133))('\x75' + chr(0b1110100) + chr(0b11000 + 0o116) + chr(0b11110 + 0o17) + chr(0b111000))])
i6T3RZXpABN6 = VK1Zu4D37FTM(i6T3RZXpABN6, nzTpIcepk0o8('\x30' + chr(0b11011 + 0o124) + chr(464 - 416), 0b1000))
if JD902pvyCLH1 == roI3spqORKae(ES5oEprVxulp(b';P\xcf\xbdBU\xa9\xac'), chr(100) + chr(8051 - 7950) + chr(0b10011 + 0o120) + chr(0b1101111) + chr(3056 - 2956) + '\145')('\165' + '\x74' + chr(102) + chr(523 - 478) + chr(56)) and CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xb9SI\xa9'), chr(3862 - 3762) + chr(101) + '\x63' + '\157' + '\144' + chr(0b1011110 + 0o7))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38')][-nzTpIcepk0o8(chr(2123 - 2075) + chr(0b1101111) + chr(328 - 279), 0b1000)] == roI3spqORKae(ES5oEprVxulp(b')'), '\x64' + chr(0b1100101) + '\143' + chr(9095 - 8984) + chr(0b1100100) + '\145')('\x75' + '\164' + chr(0b11 + 0o143) + chr(0b101101) + chr(424 - 368)):
TBKWC_KytB34 = nDF4gVNx0u9Q.yY6ThOiDnTjT(CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xbeBX\xbc\xbd'), chr(0b1100100) + chr(0b1100101) + '\x63' + '\x6f' + '\144' + chr(0b111101 + 0o50))('\165' + chr(116) + chr(0b1001 + 0o135) + chr(45) + '\070')][nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b11001 + 0o27), 8)], k=nzTpIcepk0o8(chr(0b110000) + '\157' + chr(252 - 203), 8))
i6T3RZXpABN6 = i6T3RZXpABN6[TBKWC_KytB34[nzTpIcepk0o8(chr(48) + '\157' + '\x30', 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + chr(49), 8)], :]
i6T3RZXpABN6 = i6T3RZXpABN6.transpose()
if kkYdZa5PRs5b == roI3spqORKae(ES5oEprVxulp(b'>M\xda\xa5'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(5411 - 5311) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(0b10000 + 0o35) + chr(0b10000 + 0o50)):
GKU89hZ2Byh2 = nDF4gVNx0u9Q.argsort(nDF4gVNx0u9Q.zQBGwUT7UU8L(i6T3RZXpABN6), axis=-nzTpIcepk0o8('\x30' + '\157' + chr(964 - 915), 8))
elif kkYdZa5PRs5b == roI3spqORKae(ES5oEprVxulp(b',M\xdd'), '\144' + '\x65' + chr(99) + '\x6f' + chr(7090 - 6990) + '\x65')(chr(5272 - 5155) + '\164' + chr(0b1000011 + 0o43) + chr(981 - 936) + chr(2199 - 2143)):
GKU89hZ2Byh2 = nDF4gVNx0u9Q.argsort(i6T3RZXpABN6, axis=-nzTpIcepk0o8('\060' + '\157' + chr(511 - 462), 8))
elif kkYdZa5PRs5b == roI3spqORKae(ES5oEprVxulp(b'2G\xc9'), '\x64' + chr(0b100100 + 0o101) + chr(6782 - 6683) + '\157' + chr(6757 - 6657) + '\145')(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b1000100 + 0o42) + chr(0b100000 + 0o15) + '\x38'):
GKU89hZ2Byh2 = nDF4gVNx0u9Q.argsort(-nzTpIcepk0o8(chr(0b1101 + 0o43) + '\x6f' + '\x31', 8) * i6T3RZXpABN6, axis=-nzTpIcepk0o8(chr(0b110000) + chr(0b110011 + 0o74) + chr(1468 - 1419), 8))
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\tL\xc5\xa3EN\xa2\xf8n\x12t\xad\x10\x1a\xa5<\x9e\x96\xb3(\xc9C@\xfeG\x016\x01\x9b\x8a2Yf'), chr(0b1100100) + chr(0b1100101) + chr(9629 - 9530) + chr(111) + chr(0b1100100) + chr(0b1100101))('\165' + '\x74' + chr(4477 - 4375) + chr(0b101010 + 0o3) + chr(0b111000)))
oavqEyJaKorb = nDF4gVNx0u9Q.UmwwEp7MzR6q(CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xbeBX\xbc\xbd'), chr(0b1101 + 0o127) + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))(chr(1684 - 1567) + chr(116) + '\x66' + chr(0b101101) + chr(0b111000))])
if JD902pvyCLH1 == roI3spqORKae(ES5oEprVxulp(b'(K\xc3\xa8'), chr(0b1100100) + chr(0b101101 + 0o70) + chr(99) + chr(0b1101111) + chr(100) + chr(7693 - 7592))('\165' + chr(0b1110100) + chr(0b1011111 + 0o7) + chr(432 - 387) + chr(0b111000)):
for ZlbFMSG8gCoF in bbT2xIe5pzk7(CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xbeBX\xbc\xbd'), chr(0b1100100) + chr(0b1001011 + 0o32) + chr(5878 - 5779) + chr(5254 - 5143) + chr(3488 - 3388) + chr(5578 - 5477))(chr(117) + chr(116) + chr(0b1100110) + chr(0b1000 + 0o45) + chr(0b0 + 0o70))][nzTpIcepk0o8(chr(469 - 421) + chr(0b1101111) + '\060', 8)]):
for sChW4gUsXrIC in bbT2xIe5pzk7(CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xbeBX\xbc\xbd'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(6379 - 6262) + chr(116) + '\x66' + chr(0b100101 + 0o10) + chr(977 - 921))][nzTpIcepk0o8(chr(0b110000) + chr(3536 - 3425) + chr(2225 - 2176), 8)]):
oavqEyJaKorb[ZlbFMSG8gCoF, sChW4gUsXrIC, GKU89hZ2Byh2[ZlbFMSG8gCoF, sChW4gUsXrIC, -nzTpIcepk0o8(sOS7b2Ofrbne(GKU89hZ2Byh2.lhbM092AFW8f[-nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49), 8)]) * OHMe9lml54lU):]] = nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b1101111) + '\061', 8)
elif JD902pvyCLH1 == roI3spqORKae(ES5oEprVxulp(b';P\xcf\xbdBU\xa9\xac'), chr(9831 - 9731) + '\x65' + chr(0b100000 + 0o103) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(275 - 230) + '\070'):
ia7vo2SUuMgF = nDF4gVNx0u9Q.UmwwEp7MzR6q(i6T3RZXpABN6.lhbM092AFW8f)
for ZlbFMSG8gCoF in bbT2xIe5pzk7(roI3spqORKae(ia7vo2SUuMgF, roI3spqORKae(ES5oEprVxulp(b'0J\xcc\x80\x1a\x00\xfe\x99^$ \xbe'), chr(100) + chr(3690 - 3589) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(4063 - 3962))(chr(5292 - 5175) + chr(116) + '\x66' + chr(0b1000 + 0o45) + chr(56)))[nzTpIcepk0o8(chr(0b110000) + '\157' + chr(48), 8)]):
ia7vo2SUuMgF[ZlbFMSG8gCoF, GKU89hZ2Byh2[ZlbFMSG8gCoF, -nzTpIcepk0o8(sOS7b2Ofrbne(GKU89hZ2Byh2.lhbM092AFW8f[-nzTpIcepk0o8(chr(0b11111 + 0o21) + '\x6f' + chr(0b110001), 8)]) * OHMe9lml54lU):]] = nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b100101 + 0o112) + '\061', 8)
ia7vo2SUuMgF = ia7vo2SUuMgF.transpose()
oavqEyJaKorb[TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b101011 + 0o5), 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(0b101010 + 0o105) + '\061', 8)], :] = ia7vo2SUuMgF
oavqEyJaKorb[TBKWC_KytB34[nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001), 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(48) + chr(7405 - 7294) + '\x30', 8)], :] = ia7vo2SUuMgF
oavqEyJaKorb = VK1Zu4D37FTM(oavqEyJaKorb, nzTpIcepk0o8('\060' + '\x6f' + chr(48), 8))
if CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'5L\xde\xb8^M\xb5\xa8}'), chr(100) + chr(0b10011 + 0o122) + chr(0b1100011) + chr(111) + '\144' + '\145')('\x75' + chr(6908 - 6792) + chr(0b1100110) + '\x2d' + chr(2815 - 2759))] == roI3spqORKae(ES5oEprVxulp(b'\x1f'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + '\144' + '\x65')('\165' + chr(0b10011 + 0o141) + chr(102) + chr(0b101011 + 0o2) + chr(0b111000)):
CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xb9SI\xa9'), chr(0b1100100) + '\x65' + chr(99) + '\157' + chr(0b100110 + 0o76) + chr(3749 - 3648))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'>'), '\144' + '\x65' + '\x63' + chr(11358 - 11247) + '\144' + chr(5274 - 5173))('\165' + '\x74' + chr(0b1010111 + 0o17) + '\x2d' + chr(1194 - 1138)) + CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'2G\xda\xb9SI\xa9'), chr(0b1011101 + 0o7) + chr(0b1100101) + chr(0b10000 + 0o123) + '\157' + chr(100) + chr(0b100010 + 0o103))(chr(117) + chr(116) + chr(2460 - 2358) + chr(0b101101) + chr(1362 - 1306))][nzTpIcepk0o8(chr(848 - 800) + chr(111) + chr(0b1110 + 0o43), 8)]
oavqEyJaKorb = VWj208wHyNiD(oavqEyJaKorb, CHqJ5ht8kzQa)
roI3spqORKae(oavqEyJaKorb, roI3spqORKae(ES5oEprVxulp(b')a\xf1\x94E@\xae\xa0/9(\x91'), chr(2995 - 2895) + chr(0b100011 + 0o102) + chr(99) + chr(1922 - 1811) + '\144' + chr(0b110 + 0o137))(chr(117) + '\164' + chr(102) + '\055' + '\070'))(roI3spqORKae(ES5oEprVxulp(b'5L\xde\xb8^M\xb5\xa8}'), '\144' + chr(3438 - 3337) + '\143' + chr(111) + chr(0b101100 + 0o70) + '\145')(chr(0b1110101) + chr(116) + chr(2242 - 2140) + chr(0b101101) + '\x38'))
roI3spqORKae(oavqEyJaKorb, roI3spqORKae(ES5oEprVxulp(b')a\xf1\x94E@\xae\xa0/9(\x91'), '\x64' + chr(3674 - 3573) + '\x63' + chr(0b1000011 + 0o54) + chr(0b10110 + 0o116) + chr(0b110000 + 0o65))(chr(0b1000110 + 0o57) + '\x74' + '\x66' + chr(0b101101) + chr(0b101011 + 0o15)))(roI3spqORKae(ES5oEprVxulp(b'*C\xc2\xb8OJ'), '\144' + chr(0b100110 + 0o77) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b111101 + 0o50))('\x75' + chr(116) + '\146' + chr(0b101101) + chr(0b100111 + 0o21)))
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'8K\xcf\xaaEW\xad\xb4'), '\144' + chr(0b1010000 + 0o25) + '\143' + '\x6f' + chr(0b100101 + 0o77) + '\x65')('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56))] = nzTpIcepk0o8(chr(0b100001 + 0o17) + '\157' + chr(0b110000), 8)
return oavqEyJaKorb |
wiheto/teneto | teneto/utils/utils.py | binarize_rdp | def binarize_rdp(netin, level, sign='pos', axis='time'):
"""
Binarizes a network based on RDP compression.
Parameters
----------
netin : array or dict
Network (graphlet or contact representation),
level : float
Delta parameter which is the tolorated error in RDP compression.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
Returns
-------
netout : array or dict (dependning on input)
Binarized network
"""
netin, netinfo = process_input(netin, ['C', 'G', 'TO'])
trajectory = rdp(netin, level)
contacts = []
# Use the trajectory points as threshold
for n in range(trajectory['index'].shape[0]):
if sign == 'pos':
sel = trajectory['trajectory_points'][n][trajectory['trajectory']
[n][trajectory['trajectory_points'][n]] > 0]
elif sign == 'neg':
sel = trajectory['trajectory_points'][n][trajectory['trajectory']
[n][trajectory['trajectory_points'][n]] < 0]
else:
sel = trajectory['trajectory_points']
i_ind = np.repeat(trajectory['index'][n, 0], len(sel))
j_ind = np.repeat(trajectory['index'][n, 1], len(sel))
contacts.append(np.array([i_ind, j_ind, sel]).transpose())
contacts = np.concatenate(contacts)
# Create output dictionary
netout = dict(netinfo)
netout['contacts'] = contacts
netout['nettype'] = 'b' + netout['nettype'][1]
netout['dimord'] = 'node,node,time'
netout['timetype'] = 'discrete'
netout['diagonal'] = 0
# If input is graphlet, output graphlet
if netinfo['inputtype'] == 'G':
netout = contact2graphlet(netout)
else:
netout.pop('inputtype')
return netout | python | def binarize_rdp(netin, level, sign='pos', axis='time'):
"""
Binarizes a network based on RDP compression.
Parameters
----------
netin : array or dict
Network (graphlet or contact representation),
level : float
Delta parameter which is the tolorated error in RDP compression.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
Returns
-------
netout : array or dict (dependning on input)
Binarized network
"""
netin, netinfo = process_input(netin, ['C', 'G', 'TO'])
trajectory = rdp(netin, level)
contacts = []
# Use the trajectory points as threshold
for n in range(trajectory['index'].shape[0]):
if sign == 'pos':
sel = trajectory['trajectory_points'][n][trajectory['trajectory']
[n][trajectory['trajectory_points'][n]] > 0]
elif sign == 'neg':
sel = trajectory['trajectory_points'][n][trajectory['trajectory']
[n][trajectory['trajectory_points'][n]] < 0]
else:
sel = trajectory['trajectory_points']
i_ind = np.repeat(trajectory['index'][n, 0], len(sel))
j_ind = np.repeat(trajectory['index'][n, 1], len(sel))
contacts.append(np.array([i_ind, j_ind, sel]).transpose())
contacts = np.concatenate(contacts)
# Create output dictionary
netout = dict(netinfo)
netout['contacts'] = contacts
netout['nettype'] = 'b' + netout['nettype'][1]
netout['dimord'] = 'node,node,time'
netout['timetype'] = 'discrete'
netout['diagonal'] = 0
# If input is graphlet, output graphlet
if netinfo['inputtype'] == 'G':
netout = contact2graphlet(netout)
else:
netout.pop('inputtype')
return netout | [
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... | Binarizes a network based on RDP compression.
Parameters
----------
netin : array or dict
Network (graphlet or contact representation),
level : float
Delta parameter which is the tolorated error in RDP compression.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
Returns
-------
netout : array or dict (dependning on input)
Binarized network | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L283-L335 | train | Binarizes a network based on RDP compression. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + chr(0b0 + 0o61) + '\x35' + chr(53), 47305 - 47297), nzTpIcepk0o8('\x30' + '\157' + chr(445 - 396) + chr(0b10110 + 0o35) + chr(1179 - 1126), 60172 - 60164), nzTpIcepk0o8(chr(0b110000) + chr(0b101110 + 0o101) + chr(0b11011 + 0o26) + chr(0b110100) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(959 - 911) + chr(11901 - 11790) + chr(0b110010) + chr(0b10011 + 0o40) + '\060', 22299 - 22291), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + '\064', ord("\x08")), nzTpIcepk0o8(chr(755 - 707) + '\157' + chr(55) + chr(2642 - 2587), 60852 - 60844), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + chr(0b11011 + 0o31) + chr(49), 0o10), nzTpIcepk0o8(chr(48) + chr(7110 - 6999) + chr(50) + chr(0b110110) + '\x36', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110011) + '\x37' + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b11011 + 0o124) + chr(0b110011) + chr(53) + chr(0b1101 + 0o51), 0b1000), nzTpIcepk0o8(chr(2118 - 2070) + '\157' + chr(0b110010) + chr(0b110000) + chr(50), 0o10), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(4949 - 4838) + chr(1557 - 1506) + chr(0b100011 + 0o17) + chr(2616 - 2561), ord("\x08")), nzTpIcepk0o8(chr(1333 - 1285) + chr(111) + '\x31' + '\x32' + '\x35', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b11110 + 0o121) + chr(0b101100 + 0o5) + '\x31' + chr(53), 42911 - 42903), nzTpIcepk0o8(chr(0b11100 + 0o24) + '\157' + '\063' + chr(0b1100 + 0o50), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b100000 + 0o117) + '\063' + chr(0b100111 + 0o13) + chr(0b110100), 0o10), nzTpIcepk0o8('\060' + chr(0b111010 + 0o65) + chr(1354 - 1303) + chr(53) + '\x36', 8), nzTpIcepk0o8('\060' + chr(0b111111 + 0o60) + '\061' + '\067' + '\061', 0o10), nzTpIcepk0o8(chr(221 - 173) + chr(111) + chr(0b11110 + 0o24) + chr(1454 - 1399) + chr(51), 0b1000), nzTpIcepk0o8(chr(189 - 141) + chr(111) + '\061' + chr(52) + '\067', 33323 - 33315), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b10110 + 0o35) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(2078 - 2030) + chr(0b1101111) + chr(852 - 802) + chr(49) + '\060', 0o10), nzTpIcepk0o8(chr(2073 - 2025) + chr(0b11001 + 0o126) + chr(0b1100 + 0o46) + chr(52) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(111) + chr(1566 - 1516) + chr(631 - 583) + chr(0b110010), 8), nzTpIcepk0o8('\060' + chr(4546 - 4435) + '\067' + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(7446 - 7335) + chr(0b1101 + 0o47) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(52) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(2051 - 2003) + '\x6f' + chr(0b11 + 0o60) + chr(2361 - 2310) + chr(0b101000 + 0o13), ord("\x08")), nzTpIcepk0o8('\x30' + chr(11179 - 11068) + chr(0b110010) + '\062' + chr(304 - 252), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(454 - 400) + chr(0b110 + 0o61), 27171 - 27163), nzTpIcepk0o8('\x30' + chr(0b1101100 + 0o3) + chr(50) + chr(0b11010 + 0o33) + '\x32', 36198 - 36190), nzTpIcepk0o8('\x30' + chr(0b1010000 + 0o37) + chr(0b110001) + '\x32' + chr(0b11101 + 0o32), 58192 - 58184), nzTpIcepk0o8(chr(48) + chr(0b11011 + 0o124) + chr(0b110011) + chr(465 - 417) + chr(1219 - 1171), 0o10), nzTpIcepk0o8(chr(1495 - 1447) + '\x6f' + chr(0b110100) + chr(2185 - 2136), 0b1000), nzTpIcepk0o8('\060' + chr(1898 - 1787) + chr(0b110011) + '\x31' + chr(255 - 201), 0b1000), nzTpIcepk0o8(chr(1226 - 1178) + chr(1330 - 1219) + '\063' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(1638 - 1590) + chr(111) + '\x37', 0o10), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + chr(1702 - 1647) + chr(0b100 + 0o54), 52509 - 52501), nzTpIcepk0o8(chr(0b11100 + 0o24) + '\157' + '\067' + '\066', 0o10), nzTpIcepk0o8(chr(48) + chr(2464 - 2353) + chr(49) + '\x36' + '\x36', 48293 - 48285)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(3208 - 3097) + chr(53) + '\x30', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'C'), chr(100) + chr(0b1100101) + chr(8623 - 8524) + '\x6f' + chr(1885 - 1785) + chr(7834 - 7733))('\x75' + chr(0b100001 + 0o123) + chr(5249 - 5147) + '\055' + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def UpTkiDnhqtLG(i6T3RZXpABN6, OHMe9lml54lU, kkYdZa5PRs5b=roI3spqORKae(ES5oEprVxulp(b'\x1d2\x10'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(2668 - 2568) + '\x65')(chr(1158 - 1041) + chr(0b1110100) + '\146' + '\x2d' + '\x38'), JD902pvyCLH1=roI3spqORKae(ES5oEprVxulp(b'\x194\x0e\xfd'), '\x64' + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(0b111100 + 0o63) + chr(100) + chr(0b1100101))(chr(5051 - 4934) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b10011 + 0o45))):
(i6T3RZXpABN6, CHqJ5ht8kzQa) = RMWMODhhKksQ(i6T3RZXpABN6, [roI3spqORKae(ES5oEprVxulp(b'.'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + chr(0b100100 + 0o101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101010 + 0o3) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'*'), '\x64' + chr(0b1010100 + 0o21) + '\143' + chr(0b10000 + 0o137) + chr(100) + chr(101))('\165' + chr(7723 - 7607) + '\x66' + chr(45) + chr(2964 - 2908)), roI3spqORKae(ES5oEprVxulp(b'9\x12'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(8984 - 8884) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b101011 + 0o73) + chr(0b101 + 0o50) + '\070')])
ndbDr0PsK4UG = caeaTUdOo87p(i6T3RZXpABN6, OHMe9lml54lU)
AAopxL2OQh5W = []
for NoZxuO7wjArS in bbT2xIe5pzk7(roI3spqORKae(ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x043\x07\xfdd'), chr(100) + chr(1210 - 1109) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(2850 - 2734) + chr(0b1100001 + 0o5) + chr(0b101101) + '\070')], roI3spqORKae(ES5oEprVxulp(b'\x015\x01\xd5,\x06S\xf7\xbe\xb9\xba\xb1'), '\144' + chr(0b1100001 + 0o4) + chr(99) + chr(0b1011111 + 0o20) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1010110 + 0o36) + '\x66' + chr(0b101101) + '\x38'))[nzTpIcepk0o8(chr(48) + '\x6f' + chr(204 - 156), ord("\x08"))]):
if kkYdZa5PRs5b == roI3spqORKae(ES5oEprVxulp(b'\x1d2\x10'), chr(7518 - 7418) + chr(0b101111 + 0o66) + chr(1972 - 1873) + '\x6f' + '\144' + chr(3031 - 2930))('\165' + chr(0b1111 + 0o145) + chr(0b1100000 + 0o6) + chr(0b101101) + chr(0b111000)):
CDi4Ik7DuaGz = ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97\xdd\xa7:$r\xa0\x9d'), '\x64' + chr(7168 - 7067) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\x74' + chr(7123 - 7021) + chr(0b101101) + chr(0b111000))][NoZxuO7wjArS][ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97'), chr(0b110011 + 0o61) + chr(0b11000 + 0o115) + chr(6578 - 6479) + chr(111) + chr(0b11010 + 0o112) + '\x65')(chr(0b1100000 + 0o25) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(1629 - 1573))][NoZxuO7wjArS][ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97\xdd\xa7:$r\xa0\x9d'), '\144' + '\x65' + chr(0b1000100 + 0o37) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(5208 - 5106) + '\055' + chr(56))][NoZxuO7wjArS]] > nzTpIcepk0o8('\060' + chr(8381 - 8270) + chr(1741 - 1693), 8)]
elif kkYdZa5PRs5b == roI3spqORKae(ES5oEprVxulp(b'\x038\x04'), chr(8197 - 8097) + '\x65' + '\143' + chr(0b101111 + 0o100) + chr(100) + chr(9607 - 9506))(chr(790 - 673) + '\x74' + chr(102) + chr(0b101101) + chr(0b111000)):
CDi4Ik7DuaGz = ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97\xdd\xa7:$r\xa0\x9d'), '\144' + '\x65' + '\143' + chr(5911 - 5800) + chr(100) + chr(2359 - 2258))(chr(117) + chr(8341 - 8225) + chr(0b10000 + 0o126) + chr(656 - 611) + '\x38')][NoZxuO7wjArS][ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97'), chr(0b111010 + 0o52) + chr(0b10101 + 0o120) + chr(99) + chr(0b1000110 + 0o51) + chr(5217 - 5117) + chr(10086 - 9985))(chr(3273 - 3156) + chr(116) + chr(0b1000 + 0o136) + chr(45) + chr(0b100 + 0o64))][NoZxuO7wjArS][ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97\xdd\xa7:$r\xa0\x9d'), chr(4027 - 3927) + chr(0b1100101) + chr(0b101110 + 0o65) + chr(8261 - 8150) + '\x64' + '\x65')(chr(0b101101 + 0o110) + chr(116) + chr(7003 - 6901) + chr(45) + chr(0b110010 + 0o6))][NoZxuO7wjArS]] < nzTpIcepk0o8('\x30' + chr(0b100111 + 0o110) + chr(0b11110 + 0o22), 8)]
else:
CDi4Ik7DuaGz = ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf2y\\\x15\xd9\x8a\x97\xdd\xa7:$r\xa0\x9d'), '\144' + chr(5608 - 5507) + '\143' + chr(10293 - 10182) + chr(0b1010 + 0o132) + chr(101))(chr(117) + chr(0b1000 + 0o154) + chr(0b100000 + 0o106) + '\055' + '\070')]
qUDbnMG6HjYU = nDF4gVNx0u9Q.repeat(ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x043\x07\xfdd'), chr(100) + chr(367 - 266) + '\143' + chr(10430 - 10319) + chr(8732 - 8632) + chr(0b1100101))(chr(797 - 680) + '\164' + chr(102) + chr(0b101101) + '\x38')][NoZxuO7wjArS, nzTpIcepk0o8(chr(0b11000 + 0o30) + '\157' + '\060', 8)], ftfygxgFas5X(CDi4Ik7DuaGz))
n0M1mYIWe3HB = nDF4gVNx0u9Q.repeat(ndbDr0PsK4UG[roI3spqORKae(ES5oEprVxulp(b'\x043\x07\xfdd'), chr(2737 - 2637) + chr(0b1010 + 0o133) + chr(0b1000 + 0o133) + chr(111) + '\x64' + '\x65')(chr(13011 - 12894) + chr(6075 - 5959) + chr(0b101000 + 0o76) + chr(692 - 647) + chr(0b111000))][NoZxuO7wjArS, nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b11101 + 0o24), ord("\x08"))], ftfygxgFas5X(CDi4Ik7DuaGz))
roI3spqORKae(AAopxL2OQh5W, roI3spqORKae(ES5oEprVxulp(b'%\t0\xacdX&\xd9\x92\x81\xd7\xe2'), chr(1849 - 1749) + chr(9217 - 9116) + '\143' + chr(0b1001 + 0o146) + '\144' + '\145')(chr(0b1110 + 0o147) + chr(5801 - 5685) + '\x66' + chr(0b101101) + chr(0b111000)))(roI3spqORKae(nDF4gVNx0u9Q.array([qUDbnMG6HjYU, n0M1mYIWe3HB, CDi4Ik7DuaGz]), roI3spqORKae(ES5oEprVxulp(b'\x19/\x02\xf6oO\x0e\xc5\x9d'), '\144' + chr(6874 - 6773) + chr(0b100110 + 0o75) + chr(0b1001111 + 0o40) + '\144' + '\145')('\x75' + '\x74' + chr(6542 - 6440) + chr(45) + chr(903 - 847)))())
AAopxL2OQh5W = nDF4gVNx0u9Q.concatenate(AAopxL2OQh5W)
oavqEyJaKorb = znjnJWK64FDT(CHqJ5ht8kzQa)
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\x0e2\r\xec}\\\x15\xc5'), chr(7921 - 7821) + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(11716 - 11600) + chr(8921 - 8819) + chr(622 - 577) + chr(2163 - 2107))] = AAopxL2OQh5W
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\x038\x17\xeceO\x04'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1010100 + 0o33) + chr(0b1100100) + '\x65')(chr(3790 - 3673) + chr(0b1 + 0o163) + chr(0b1100110) + chr(0b100 + 0o51) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'\x0f'), chr(0b1010 + 0o132) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(10105 - 9989) + chr(0b1100110) + '\055' + chr(0b111000)) + oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\x038\x17\xeceO\x04'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(7106 - 7005))(chr(3004 - 2887) + chr(116) + chr(102) + chr(0b100110 + 0o7) + '\x38')][nzTpIcepk0o8(chr(1997 - 1949) + '\x6f' + '\x31', 8)]
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\t4\x0e\xf7n['), '\144' + chr(0b1100101) + chr(99) + chr(0b11110 + 0o121) + chr(0b111 + 0o135) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1011100 + 0o12) + chr(0b1100 + 0o41) + chr(56))] = roI3spqORKae(ES5oEprVxulp(b'\x032\x07\xfd0Q\x0e\xd2\x9d\xc2\xf6\xbe8('), chr(0b1100100) + chr(101) + chr(8164 - 8065) + chr(0b11000 + 0o127) + '\x64' + chr(0b11111 + 0o106))(chr(11996 - 11879) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38')
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\x194\x0e\xfdhF\x11\xd3'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(0b10000 + 0o125))('\165' + chr(0b1010000 + 0o44) + '\146' + '\x2d' + '\070')] = roI3spqORKae(ES5oEprVxulp(b'\t4\x10\xfbnZ\x15\xd3'), chr(3748 - 3648) + chr(0b111 + 0o136) + chr(99) + chr(111) + chr(0b1100100) + chr(0b1010010 + 0o23))(chr(0b1110101) + chr(1125 - 1009) + chr(102) + chr(45) + chr(1190 - 1134))
oavqEyJaKorb[roI3spqORKae(ES5oEprVxulp(b'\t4\x02\xffsQ\x00\xda'), '\x64' + chr(4652 - 4551) + chr(0b1100011) + chr(111) + '\144' + chr(0b11 + 0o142))('\165' + chr(0b1110100) + chr(0b110110 + 0o60) + chr(45) + '\070')] = nzTpIcepk0o8('\x30' + chr(111) + '\060', 8)
if CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\x043\x13\xedhK\x18\xc6\x9d'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1001010 + 0o34) + chr(0b11001 + 0o24) + chr(56))] == roI3spqORKae(ES5oEprVxulp(b'*'), '\x64' + chr(0b110010 + 0o63) + '\x63' + chr(111) + chr(0b10111 + 0o115) + chr(101))(chr(0b1110101) + chr(5965 - 5849) + chr(102) + '\x2d' + chr(754 - 698)):
oavqEyJaKorb = dkLrNqu3wQ0d(oavqEyJaKorb)
else:
roI3spqORKae(oavqEyJaKorb, roI3spqORKae(ES5oEprVxulp(b'\x18\x1e<\xc1sF\x03\xce\xcf\xa4\xb2\x9e'), chr(0b1001101 + 0o27) + chr(6254 - 6153) + '\143' + chr(0b1101111) + '\144' + chr(0b111011 + 0o52))(chr(0b1110101) + '\164' + chr(747 - 645) + '\055' + chr(0b10 + 0o66)))(roI3spqORKae(ES5oEprVxulp(b'\x043\x13\xedhK\x18\xc6\x9d'), chr(3843 - 3743) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1001010 + 0o53) + chr(116) + chr(0b1100110) + chr(45) + chr(0b110010 + 0o6)))
return oavqEyJaKorb |
wiheto/teneto | teneto/utils/utils.py | binarize | def binarize(netin, threshold_type, threshold_level, sign='pos', axis='time'):
"""
Binarizes a network, returning the network. General wrapper function for different binarization functions.
Parameters
----------
netin : array or dict
Network (graphlet or contact representation),
threshold_type : str
What type of thresholds to make binarization. Options: 'rdp', 'percent', 'magnitude'.
threshold_level : str
Paramter dependent on threshold type.
If 'rdp', it is the delta (i.e. error allowed in compression).
If 'percent', it is the percentage to keep (e.g. 0.1, means keep 10% of signal).
If 'magnitude', it is the amplitude of signal to keep.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str
Threshold over specfied axis. Valid for percent and rdp. Can be time or graphlet.
Returns
-------
netout : array or dict (depending on input)
Binarized network
"""
if threshold_type == 'percent':
netout = binarize_percent(netin, threshold_level, sign, axis)
elif threshold_type == 'magnitude':
netout = binarize_magnitude(netin, threshold_level, sign)
elif threshold_type == 'rdp':
netout = binarize_rdp(netin, threshold_level, sign, axis)
else:
raise ValueError('Unknown value to parameter: threshold_type.')
return netout | python | def binarize(netin, threshold_type, threshold_level, sign='pos', axis='time'):
"""
Binarizes a network, returning the network. General wrapper function for different binarization functions.
Parameters
----------
netin : array or dict
Network (graphlet or contact representation),
threshold_type : str
What type of thresholds to make binarization. Options: 'rdp', 'percent', 'magnitude'.
threshold_level : str
Paramter dependent on threshold type.
If 'rdp', it is the delta (i.e. error allowed in compression).
If 'percent', it is the percentage to keep (e.g. 0.1, means keep 10% of signal).
If 'magnitude', it is the amplitude of signal to keep.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str
Threshold over specfied axis. Valid for percent and rdp. Can be time or graphlet.
Returns
-------
netout : array or dict (depending on input)
Binarized network
"""
if threshold_type == 'percent':
netout = binarize_percent(netin, threshold_level, sign, axis)
elif threshold_type == 'magnitude':
netout = binarize_magnitude(netin, threshold_level, sign)
elif threshold_type == 'rdp':
netout = binarize_rdp(netin, threshold_level, sign, axis)
else:
raise ValueError('Unknown value to parameter: threshold_type.')
return netout | [
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netin : array or dict
Network (graphlet or contact representation),
threshold_type : str
What type of thresholds to make binarization. Options: 'rdp', 'percent', 'magnitude'.
threshold_level : str
Paramter dependent on threshold type.
If 'rdp', it is the delta (i.e. error allowed in compression).
If 'percent', it is the percentage to keep (e.g. 0.1, means keep 10% of signal).
If 'magnitude', it is the amplitude of signal to keep.
sign : str, default='pos'
States the sign of the thresholding. Can be 'pos', 'neg' or 'both'. If "neg", only negative values are thresholded and vice versa.
axis : str
Threshold over specfied axis. Valid for percent and rdp. Can be time or graphlet.
Returns
-------
netout : array or dict (depending on input)
Binarized network | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L382-L422 | train | Binarizes a network and returns the network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1886 - 1838) + chr(9016 - 8905) + '\x32' + chr(0b110011 + 0o1) + '\064', 0b1000), nzTpIcepk0o8(chr(2273 - 2225) + '\x6f' + '\x33' + '\062' + chr(0b110111), 62653 - 62645), nzTpIcepk0o8(chr(854 - 806) + chr(1429 - 1318) + chr(2174 - 2125) + '\x34' + chr(0b110011 + 0o3), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061' + chr(367 - 315) + '\x30', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b10100 + 0o37) + chr(1233 - 1183) + '\x33', 0b1000), nzTpIcepk0o8('\060' + '\157' + '\x33' + chr(53) + '\x37', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110010) + '\x36', 0b1000), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b110001 + 0o76) + '\x33' + '\067' + chr(49), ord("\x08")), nzTpIcepk0o8('\x30' + chr(10164 - 10053) + chr(0b110001) + '\x32' + chr(631 - 583), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(1218 - 1170), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\063' + chr(0b110011) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(111) + chr(0b101001 + 0o10) + chr(0b110010) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + '\064' + chr(51), 50237 - 50229), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(10656 - 10545) + chr(0b110001) + chr(0b110111) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b10011 + 0o35) + '\x6f' + chr(0b110001) + '\060' + chr(0b11010 + 0o34), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + '\x30' + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1001100 + 0o43) + chr(50) + chr(0b100110 + 0o14) + '\062', 10465 - 10457), nzTpIcepk0o8(chr(2074 - 2026) + chr(111) + '\x32' + '\060' + '\x35', 11744 - 11736), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b10111 + 0o32) + chr(50) + chr(103 - 53), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(50) + chr(0b110100) + '\060', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\x33' + chr(0b110111) + chr(1117 - 1065), 0b1000), nzTpIcepk0o8('\x30' + chr(9478 - 9367) + chr(0b101110 + 0o6) + chr(0b1111 + 0o46), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b110111 + 0o70) + '\x32' + chr(0b110010) + chr(0b110110), 45995 - 45987), nzTpIcepk0o8(chr(0b11110 + 0o22) + '\x6f' + chr(0b10010 + 0o45), 35972 - 35964), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(50) + chr(620 - 568), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110010) + chr(50) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + '\064' + chr(0b10000 + 0o47), ord("\x08")), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\157' + chr(196 - 144) + chr(0b11101 + 0o27), 0b1000), nzTpIcepk0o8(chr(917 - 869) + chr(0b1101111) + chr(0b10100 + 0o35) + '\x37', 0o10), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(111) + chr(0b110110), 21753 - 21745), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2350 - 2299) + chr(614 - 566), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + '\065' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(712 - 664) + chr(0b1101111) + chr(0b110110) + chr(54), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b101010 + 0o14), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(7290 - 7179) + chr(55) + chr(0b110011), 21803 - 21795), nzTpIcepk0o8('\060' + chr(9311 - 9200) + '\061' + chr(0b100001 + 0o25), ord("\x08")), nzTpIcepk0o8(chr(0b111 + 0o51) + '\x6f' + chr(0b110011) + '\x30', 8), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(111) + '\x32' + chr(1660 - 1606) + '\x36', 61184 - 61176), nzTpIcepk0o8(chr(0b110000) + chr(4030 - 3919) + chr(212 - 162) + chr(0b111 + 0o51) + chr(49), 42199 - 42191), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\x6f' + chr(1590 - 1540) + chr(0b101 + 0o56) + '\064', 60905 - 60897)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1000001 + 0o56) + chr(53) + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x8a'), '\144' + chr(5358 - 5257) + '\x63' + '\x6f' + chr(0b1100011 + 0o1) + chr(0b1001000 + 0o35))(chr(1554 - 1437) + chr(9814 - 9698) + chr(0b1100110) + chr(0b101101) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Oj5Un0LVKvqY(i6T3RZXpABN6, mOHRn759XvTW, i9YRfja_NV9K, kkYdZa5PRs5b=roI3spqORKae(ES5oEprVxulp(b'\xd4\xb8\x15'), '\144' + chr(0b1100101) + '\x63' + chr(0b1000 + 0o147) + chr(0b1100100) + '\145')('\x75' + chr(116) + '\146' + chr(45) + chr(0b10 + 0o66)), JD902pvyCLH1=roI3spqORKae(ES5oEprVxulp(b'\xd0\xbe\x0b\x05'), '\144' + chr(0b110110 + 0o57) + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b1100001 + 0o3) + chr(0b111 + 0o136))(chr(117) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(56))):
if mOHRn759XvTW == roI3spqORKae(ES5oEprVxulp(b'\xd4\xb2\x14\x03\xb6\x81\xa2'), '\x64' + chr(4586 - 4485) + chr(0b101 + 0o136) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b110101 + 0o100) + chr(0b1110100) + '\146' + chr(45) + '\x38'):
oavqEyJaKorb = fWolEQ_jAEDK(i6T3RZXpABN6, i9YRfja_NV9K, kkYdZa5PRs5b, JD902pvyCLH1)
elif mOHRn759XvTW == roI3spqORKae(ES5oEprVxulp(b'\xc9\xb6\x01\x0e\xba\x9b\xa3\x9d5'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(0b100011 + 0o101) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + '\055' + '\x38'):
oavqEyJaKorb = EcUUQ1JARGJr(i6T3RZXpABN6, i9YRfja_NV9K, kkYdZa5PRs5b)
elif mOHRn759XvTW == roI3spqORKae(ES5oEprVxulp(b'\xd6\xb3\x16'), chr(0b1100100) + '\x65' + chr(3002 - 2903) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(0b111010 + 0o72) + '\146' + '\055' + chr(1867 - 1811)):
oavqEyJaKorb = UpTkiDnhqtLG(i6T3RZXpABN6, i9YRfja_NV9K, kkYdZa5PRs5b, JD902pvyCLH1)
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xf1\xb9\r\x0e\xbc\x98\xb8\xd9&\x01\xb1#\xc6Y2\xaf\xb2\xf53\xd2\x9dH\xf3s\xb1\xe7\x1d\x04{nj\x8eE~Tb|\xe9\xf5\xe5\xd4\xb2H'), chr(2335 - 2235) + chr(0b1100101) + chr(5565 - 5466) + chr(0b1101111) + chr(1647 - 1547) + chr(0b10111 + 0o116))(chr(1520 - 1403) + chr(0b1110100) + '\x66' + chr(0b100 + 0o51) + chr(56)))
return oavqEyJaKorb |
wiheto/teneto | teneto/utils/utils.py | process_input | def process_input(netIn, allowedformats, outputformat='G'):
"""
Takes input network and checks what the input is.
Parameters
----------
netIn : array, dict, or TemporalNetwork
Network (graphlet, contact or object)
allowedformats : str
Which format of network objects that are allowed. Options: 'C', 'TN', 'G'.
outputformat: str, default=G
Target output format. Options: 'C' or 'G'.
Returns
-------
C : dict
OR
G : array
Graphlet representation.
netInfo : dict
Metainformation about network.
OR
tnet : object
object of TemporalNetwork class
"""
inputtype = checkInput(netIn)
# Convert TN to G representation
if inputtype == 'TN' and 'TN' in allowedformats and outputformat != 'TN':
G = netIn.df_to_array()
netInfo = {'nettype': netIn.nettype, 'netshape': netIn.netshape}
elif inputtype == 'TN' and 'TN' in allowedformats and outputformat == 'TN':
TN = netIn
elif inputtype == 'C' and 'C' in allowedformats and outputformat == 'G':
G = contact2graphlet(netIn)
netInfo = dict(netIn)
netInfo.pop('contacts')
elif inputtype == 'C' and 'C' in allowedformats and outputformat == 'TN':
TN = TemporalNetwork(from_dict=netIn)
elif inputtype == 'G' and 'G' in allowedformats and outputformat == 'TN':
TN = TemporalNetwork(from_array=netIn)
# Get network type if not set yet
elif inputtype == 'G' and 'G' in allowedformats:
netInfo = {}
netInfo['netshape'] = netIn.shape
netInfo['nettype'] = gen_nettype(netIn)
G = netIn
elif inputtype == 'C' and outputformat == 'C':
pass
else:
raise ValueError('Input invalid.')
if outputformat == 'TN' and not isinstance(TN.network, str):
TN.network['i'] = TN.network['i'].astype(int)
TN.network['j'] = TN.network['j'].astype(int)
TN.network['t'] = TN.network['t'].astype(int)
if outputformat == 'C' or outputformat == 'G':
netInfo['inputtype'] = inputtype
if inputtype != 'C' and outputformat == 'C':
C = graphlet2contact(G, netInfo)
if outputformat == 'G':
return G, netInfo
elif outputformat == 'C':
return C
elif outputformat == 'TN':
return TN | python | def process_input(netIn, allowedformats, outputformat='G'):
"""
Takes input network and checks what the input is.
Parameters
----------
netIn : array, dict, or TemporalNetwork
Network (graphlet, contact or object)
allowedformats : str
Which format of network objects that are allowed. Options: 'C', 'TN', 'G'.
outputformat: str, default=G
Target output format. Options: 'C' or 'G'.
Returns
-------
C : dict
OR
G : array
Graphlet representation.
netInfo : dict
Metainformation about network.
OR
tnet : object
object of TemporalNetwork class
"""
inputtype = checkInput(netIn)
# Convert TN to G representation
if inputtype == 'TN' and 'TN' in allowedformats and outputformat != 'TN':
G = netIn.df_to_array()
netInfo = {'nettype': netIn.nettype, 'netshape': netIn.netshape}
elif inputtype == 'TN' and 'TN' in allowedformats and outputformat == 'TN':
TN = netIn
elif inputtype == 'C' and 'C' in allowedformats and outputformat == 'G':
G = contact2graphlet(netIn)
netInfo = dict(netIn)
netInfo.pop('contacts')
elif inputtype == 'C' and 'C' in allowedformats and outputformat == 'TN':
TN = TemporalNetwork(from_dict=netIn)
elif inputtype == 'G' and 'G' in allowedformats and outputformat == 'TN':
TN = TemporalNetwork(from_array=netIn)
# Get network type if not set yet
elif inputtype == 'G' and 'G' in allowedformats:
netInfo = {}
netInfo['netshape'] = netIn.shape
netInfo['nettype'] = gen_nettype(netIn)
G = netIn
elif inputtype == 'C' and outputformat == 'C':
pass
else:
raise ValueError('Input invalid.')
if outputformat == 'TN' and not isinstance(TN.network, str):
TN.network['i'] = TN.network['i'].astype(int)
TN.network['j'] = TN.network['j'].astype(int)
TN.network['t'] = TN.network['t'].astype(int)
if outputformat == 'C' or outputformat == 'G':
netInfo['inputtype'] = inputtype
if inputtype != 'C' and outputformat == 'C':
C = graphlet2contact(G, netInfo)
if outputformat == 'G':
return G, netInfo
elif outputformat == 'C':
return C
elif outputformat == 'TN':
return TN | [
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Parameters
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netIn : array, dict, or TemporalNetwork
Network (graphlet, contact or object)
allowedformats : str
Which format of network objects that are allowed. Options: 'C', 'TN', 'G'.
outputformat: str, default=G
Target output format. Options: 'C' or 'G'.
Returns
-------
C : dict
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Graphlet representation.
netInfo : dict
Metainformation about network.
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L575-L646 | train | Takes input network and checks what the input is. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b1000 + 0o50) + '\x6f' + chr(0b1000 + 0o52) + '\064' + chr(0b101000 + 0o17), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(648 - 597) + '\x35', 4126 - 4118), nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(0b100010 + 0o115) + chr(0b110110) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010) + chr(623 - 569) + chr(0b11100 + 0o31), ord("\x08")), nzTpIcepk0o8(chr(1791 - 1743) + '\x6f' + chr(0b110111) + chr(2045 - 1992), 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + chr(51) + chr(0b110101) + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(8882 - 8771) + chr(0b10000 + 0o41) + '\x35' + chr(0b1101 + 0o45), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(775 - 725) + chr(54) + chr(0b110101), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1 + 0o156) + chr(49) + chr(0b100111 + 0o11) + chr(884 - 834), ord("\x08")), nzTpIcepk0o8(chr(486 - 438) + chr(0b10101 + 0o132) + chr(52) + chr(0b11001 + 0o27), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\061' + chr(49) + chr(0b101001 + 0o15), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b0 + 0o157) + chr(0b110011) + chr(904 - 852) + chr(52), 0o10), nzTpIcepk0o8(chr(733 - 685) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(49), 13037 - 13029), nzTpIcepk0o8('\060' + '\x6f' + '\x32' + '\x32' + chr(0b110111), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(55) + '\x37', 0b1000), nzTpIcepk0o8('\x30' + chr(0b0 + 0o157) + chr(51) + '\061', ord("\x08")), nzTpIcepk0o8('\060' + chr(10841 - 10730) + chr(0b1111 + 0o42) + chr(53) + '\063', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(207 - 156) + '\066' + chr(2717 - 2662), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1100110 + 0o11) + chr(51) + chr(0b100110 + 0o12), 30189 - 30181), nzTpIcepk0o8(chr(873 - 825) + '\x6f' + chr(50), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + chr(151 - 98) + chr(1717 - 1664), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(51) + '\x32' + chr(0b110000), 21224 - 21216), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + chr(1066 - 1018), 8), nzTpIcepk0o8('\060' + chr(111) + '\061' + chr(0b111 + 0o53) + '\063', 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(439 - 388) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(1788 - 1740) + '\x6f' + '\x32' + '\x33' + chr(0b110001), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\061' + chr(774 - 720) + chr(0b10000 + 0o41), 43460 - 43452), nzTpIcepk0o8(chr(951 - 903) + chr(7549 - 7438) + '\x36' + '\x33', 0o10), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(0b111101 + 0o62) + chr(0b10101 + 0o35) + chr(48) + chr(0b10100 + 0o36), ord("\x08")), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\x6f' + chr(0b110010) + '\x32', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + '\063' + '\064', 0o10), nzTpIcepk0o8(chr(771 - 723) + '\x6f' + chr(0b10011 + 0o36) + chr(2781 - 2728) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(111) + chr(51) + chr(488 - 433) + chr(0b100100 + 0o23), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\062' + '\x37' + chr(0b110100), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b1110 + 0o43) + '\x34' + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b10101 + 0o35) + chr(0b10001 + 0o40) + chr(0b1 + 0o61), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b1110 + 0o43) + chr(1285 - 1232) + chr(0b110000 + 0o1), 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(111) + chr(0b11110 + 0o24) + chr(53) + chr(0b110100), 36511 - 36503), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b1101111) + chr(0b110 + 0o53) + chr(0b100101 + 0o16) + '\064', 8), nzTpIcepk0o8(chr(48) + '\157' + chr(51) + '\x33' + '\066', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\157' + chr(0b110101) + '\060', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x89'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(2689 - 2589) + chr(4397 - 4296))(chr(3938 - 3821) + chr(116) + chr(0b1000001 + 0o45) + chr(0b101101) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def RMWMODhhKksQ(iiDq3qYD297g, KZNqP69W062V, cKi6gEkSDsm9=roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(100) + chr(7782 - 7681) + '\x63' + '\x6f' + '\144' + chr(101))(chr(0b1001101 + 0o50) + '\164' + chr(0b1100110) + '\x2d' + '\070')):
CTEC1ZzUVhFv = dYZ8bkky6RkX(iiDq3qYD297g)
if CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), '\144' + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))('\165' + '\164' + '\x66' + '\x2d' + chr(0b111000)) and roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(0b1100100) + '\x65' + '\143' + '\157' + chr(0b110101 + 0o57) + '\145')('\x75' + '\164' + chr(102) + '\x2d' + chr(0b11001 + 0o37)) in KZNqP69W062V and (cKi6gEkSDsm9 != roI3spqORKae(ES5oEprVxulp(b'\xf3S'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b11001 + 0o126) + '\144' + chr(2911 - 2810))('\165' + chr(1708 - 1592) + chr(0b100101 + 0o101) + '\x2d' + chr(2721 - 2665))):
lmLTjtHGkU5F = iiDq3qYD297g.df_to_array()
oiEg9Rynad4x = {roI3spqORKae(ES5oEprVxulp(b'\xc9xC\xc1D\x9f\x0f'), chr(100) + chr(0b1100 + 0o131) + chr(2420 - 2321) + chr(0b1101111) + chr(100) + chr(0b111110 + 0o47))('\x75' + chr(1946 - 1830) + '\x66' + chr(1399 - 1354) + chr(56)): iiDq3qYD297g.nettype, roI3spqORKae(ES5oEprVxulp(b'\xc9xC\xc6U\x8e\x1a\xd0'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(0b101011 + 0o71) + '\145')('\x75' + chr(0b1110100) + chr(3344 - 3242) + '\055' + '\x38'): iiDq3qYD297g.k_hzkZorywiQ}
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(100) + chr(101) + '\143' + '\x6f' + '\144' + '\x65')(chr(117) + chr(3169 - 3053) + chr(102) + '\055' + chr(111 - 55)) and roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(100) + chr(3696 - 3595) + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + chr(0b101 + 0o157) + chr(0b110011 + 0o63) + '\x2d' + '\070') in KZNqP69W062V and (cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(100) + chr(0b1100101) + chr(9204 - 9105) + '\157' + chr(0b1001 + 0o133) + chr(101))(chr(117) + '\x74' + chr(2337 - 2235) + '\x2d' + chr(709 - 653))):
XOToZthRPbmb = iiDq3qYD297g
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xe4'), '\x64' + '\x65' + '\143' + chr(0b11110 + 0o121) + chr(0b1100100) + '\145')('\165' + '\x74' + chr(0b1010101 + 0o21) + '\x2d' + chr(2922 - 2866)) and roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1100010 + 0o2) + chr(0b1100101) + '\x63' + chr(4072 - 3961) + chr(100) + chr(0b100110 + 0o77))(chr(0b1110101) + chr(0b1 + 0o163) + chr(0b1100110) + '\x2d' + '\x38') in KZNqP69W062V and (cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(0b1100100) + chr(101) + chr(0b1100001 + 0o2) + chr(0b1101111) + chr(6751 - 6651) + chr(4542 - 4441))('\x75' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))):
lmLTjtHGkU5F = dkLrNqu3wQ0d(iiDq3qYD297g)
oiEg9Rynad4x = znjnJWK64FDT(iiDq3qYD297g)
roI3spqORKae(oiEg9Rynad4x, roI3spqORKae(ES5oEprVxulp(b'\xd2^h\xecR\x96\x08\xcduj~\xad'), '\144' + chr(101) + '\143' + '\157' + chr(100) + chr(4366 - 4265))(chr(117) + chr(116) + chr(102) + chr(59 - 14) + chr(56)))(roI3spqORKae(ES5oEprVxulp(b'\xc4rY\xc1\\\x8c\x1e\xc6'), chr(0b1100100) + chr(1611 - 1510) + chr(99) + chr(111) + '\144' + chr(101))(chr(0b10110 + 0o137) + '\164' + '\146' + chr(0b10010 + 0o33) + chr(56)))
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1100100) + '\x65' + chr(5147 - 5048) + chr(4678 - 4567) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(6791 - 6689) + '\x2d' + '\x38') and roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1000001 + 0o43) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1011101 + 0o27) + '\x66' + chr(45) + '\x38') in KZNqP69W062V and (cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), '\x64' + chr(0b11110 + 0o107) + '\143' + chr(0b1101111) + chr(0b10110 + 0o116) + chr(0b1100101))('\165' + chr(9317 - 9201) + chr(102) + '\055' + '\x38')):
XOToZthRPbmb = uPwqW7cqOnfp(from_dict=iiDq3qYD297g)
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(0b1110 + 0o126) + chr(0b1100000 + 0o5) + '\x63' + '\x6f' + '\x64' + chr(101))('\x75' + '\164' + chr(0b111101 + 0o51) + '\x2d' + chr(0b11010 + 0o36)) and roI3spqORKae(ES5oEprVxulp(b'\xe0'), '\x64' + chr(101) + '\143' + chr(4323 - 4212) + chr(0b1011001 + 0o13) + chr(4597 - 4496))(chr(0b1110101) + chr(116) + chr(6876 - 6774) + chr(0b1 + 0o54) + chr(2786 - 2730)) in KZNqP69W062V and (cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), '\144' + '\145' + chr(546 - 447) + '\x6f' + '\144' + chr(0b1001100 + 0o31))('\165' + '\164' + chr(0b1100110) + chr(0b101100 + 0o1) + chr(56))):
XOToZthRPbmb = uPwqW7cqOnfp(from_array=iiDq3qYD297g)
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(2520 - 2420) + '\x65')(chr(0b1110101) + chr(0b1001110 + 0o46) + '\146' + chr(0b101101) + chr(0b11100 + 0o34)) and roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(100) + '\145' + chr(0b11001 + 0o112) + chr(3735 - 3624) + chr(100) + chr(101))(chr(0b1110101 + 0o0) + chr(10583 - 10467) + chr(0b10011 + 0o123) + chr(0b101101) + chr(0b1100 + 0o54)) in KZNqP69W062V:
oiEg9Rynad4x = {}
oiEg9Rynad4x[roI3spqORKae(ES5oEprVxulp(b'\xc9xC\xc6U\x8e\x1a\xd0'), chr(6973 - 6873) + chr(0b1100101) + '\143' + chr(11516 - 11405) + chr(100) + chr(0b1100101))('\x75' + '\164' + '\146' + chr(45) + chr(56))] = iiDq3qYD297g.lhbM092AFW8f
oiEg9Rynad4x[roI3spqORKae(ES5oEprVxulp(b'\xc9xC\xc1D\x9f\x0f'), chr(0b1100100) + '\145' + chr(658 - 559) + chr(111) + '\x64' + '\145')(chr(117) + '\164' + chr(7624 - 7522) + '\055' + '\x38')] = _jWaJirKxPF2(iiDq3qYD297g)
lmLTjtHGkU5F = iiDq3qYD297g
elif CTEC1ZzUVhFv == roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(6427 - 6327) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110001 + 0o4) + '\164' + '\146' + chr(0b100110 + 0o7) + chr(0b111000)) and cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(100) + chr(0b1100101) + chr(0b11101 + 0o106) + chr(0b111011 + 0o64) + chr(0b100010 + 0o102) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(0b100000 + 0o15) + chr(0b111000)):
pass
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xeesG\xc0I\xcf\x03\xdb4A"\x8d\xbd\xb9'), chr(0b1100100) + chr(6948 - 6847) + '\143' + chr(10463 - 10352) + chr(100) + chr(0b1100101))(chr(0b1110000 + 0o5) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))
if cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(0b1011001 + 0o13) + chr(0b1100101) + chr(6899 - 6800) + chr(0b101010 + 0o105) + chr(0b1100100) + '\145')(chr(117) + chr(116) + chr(7930 - 7828) + chr(45) + chr(0b11010 + 0o36)) and (not suIjIS24Zkqw(roI3spqORKae(XOToZthRPbmb, roI3spqORKae(ES5oEprVxulp(b'\xeeL\x0e\xf0T\xae\x12\xd6\np(\xb2'), '\x64' + chr(6262 - 6161) + chr(8878 - 8779) + chr(5558 - 5447) + '\144' + '\145')(chr(0b10100 + 0o141) + chr(0b1110100) + chr(102) + '\x2d' + '\070')), N9zlRy29S1SS)):
XOToZthRPbmb.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\xce'), chr(0b1100100) + '\x65' + chr(0b110110 + 0o55) + '\x6f' + chr(100) + chr(3041 - 2940))(chr(0b1110101) + chr(4257 - 4141) + chr(0b1100110) + chr(1083 - 1038) + chr(0b111000))] = XOToZthRPbmb.network[roI3spqORKae(ES5oEprVxulp(b'\xce'), chr(0b1100100) + chr(7802 - 7701) + '\143' + '\x6f' + chr(0b110010 + 0o62) + '\x65')('\165' + chr(11808 - 11692) + chr(102) + chr(1246 - 1201) + '\x38')].astype(nzTpIcepk0o8)
XOToZthRPbmb.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\xcd'), '\x64' + '\145' + chr(7043 - 6944) + chr(11910 - 11799) + chr(100) + chr(0b1100101))(chr(13156 - 13039) + '\164' + chr(124 - 22) + chr(0b101101) + chr(0b10101 + 0o43))] = XOToZthRPbmb.network[roI3spqORKae(ES5oEprVxulp(b'\xcd'), '\x64' + chr(0b1100101) + '\143' + chr(111) + '\144' + '\145')('\x75' + chr(2485 - 2369) + '\146' + '\055' + '\x38')].astype(nzTpIcepk0o8)
XOToZthRPbmb.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\xd3'), chr(3799 - 3699) + '\x65' + chr(0b1100011) + chr(0b1010 + 0o145) + chr(0b111001 + 0o53) + chr(4719 - 4618))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(440 - 384))] = XOToZthRPbmb.network[roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + '\x65' + chr(99) + chr(111) + '\144' + chr(4657 - 4556))(chr(9055 - 8938) + chr(0b1010000 + 0o44) + chr(102) + chr(0b101101) + '\070')].astype(nzTpIcepk0o8)
if cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + chr(1293 - 1192))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b11010 + 0o36)) or cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(0b101 + 0o137) + '\145' + chr(99) + chr(111) + chr(100) + chr(0b111010 + 0o53))(chr(0b1110101) + chr(0b1001010 + 0o52) + chr(102) + chr(0b110 + 0o47) + chr(0b10000 + 0o50)):
oiEg9Rynad4x[roI3spqORKae(ES5oEprVxulp(b"\xcesG\xc0I\x9b\x13\xc5'"), chr(0b1100100) + '\x65' + '\x63' + '\157' + chr(0b1010011 + 0o21) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(0b101001 + 0o4) + chr(0b111000))] = CTEC1ZzUVhFv
if CTEC1ZzUVhFv != roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1010111 + 0o15) + chr(101) + chr(99) + chr(0b1101111) + '\144' + '\145')('\165' + '\164' + chr(7323 - 7221) + '\x2d' + chr(56)) and cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe4'), chr(0b1100100) + chr(0b110000 + 0o65) + '\x63' + chr(0b100101 + 0o112) + chr(1556 - 1456) + chr(0b1100101))(chr(0b1100010 + 0o23) + chr(2533 - 2417) + chr(0b1100110) + chr(0b101101) + '\070'):
eb_JimPifyhR = VWj208wHyNiD(lmLTjtHGkU5F, oiEg9Rynad4x)
if cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe0'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b1011100 + 0o10) + chr(9378 - 9277))(chr(117) + chr(0b1110100) + chr(5215 - 5113) + '\x2d' + '\x38'):
return (lmLTjtHGkU5F, oiEg9Rynad4x)
elif cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xe4'), '\144' + '\x65' + '\143' + chr(8946 - 8835) + chr(0b1100100) + chr(101))('\x75' + chr(116) + chr(102) + chr(0b1111 + 0o36) + '\x38'):
return eb_JimPifyhR
elif cKi6gEkSDsm9 == roI3spqORKae(ES5oEprVxulp(b'\xf3S'), chr(0b1100100) + chr(4845 - 4744) + '\143' + '\157' + '\x64' + '\x65')(chr(0b1110010 + 0o3) + chr(4601 - 4485) + '\146' + '\055' + '\070'):
return XOToZthRPbmb |
wiheto/teneto | teneto/utils/utils.py | clean_community_indexes | def clean_community_indexes(communityID):
"""
Takes input of community assignments. Returns reindexed community assignment by using smallest numbers possible.
Parameters
----------
communityID : array-like
list or array of integers. Output from community detection algorithems.
Returns
-------
new_communityID : array
cleaned list going from 0 to len(np.unique(communityID))-1
Note
-----
Behaviour of funciton entails that the lowest community integer in communityID will recieve the lowest integer in new_communityID.
"""
communityID = np.array(communityID)
cid_shape = communityID.shape
if len(cid_shape) > 1:
communityID = communityID.flatten()
new_communityID = np.zeros(len(communityID))
for i, n in enumerate(np.unique(communityID)):
new_communityID[communityID == n] = i
if len(cid_shape) > 1:
new_communityID = new_communityID.reshape(cid_shape)
return new_communityID | python | def clean_community_indexes(communityID):
"""
Takes input of community assignments. Returns reindexed community assignment by using smallest numbers possible.
Parameters
----------
communityID : array-like
list or array of integers. Output from community detection algorithems.
Returns
-------
new_communityID : array
cleaned list going from 0 to len(np.unique(communityID))-1
Note
-----
Behaviour of funciton entails that the lowest community integer in communityID will recieve the lowest integer in new_communityID.
"""
communityID = np.array(communityID)
cid_shape = communityID.shape
if len(cid_shape) > 1:
communityID = communityID.flatten()
new_communityID = np.zeros(len(communityID))
for i, n in enumerate(np.unique(communityID)):
new_communityID[communityID == n] = i
if len(cid_shape) > 1:
new_communityID = new_communityID.reshape(cid_shape)
return new_communityID | [
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communityID : array-like
list or array of integers. Output from community detection algorithems.
Returns
-------
new_communityID : array
cleaned list going from 0 to len(np.unique(communityID))-1
Note
-----
Behaviour of funciton entails that the lowest community integer in communityID will recieve the lowest integer in new_communityID. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L649-L680 | train | Takes input of community assignments. Returns reindexed community assignment by using smallest numbers possible. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\x6f' + '\061' + chr(0b110011) + chr(0b110101), 63764 - 63756), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10 + 0o63) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\066' + '\064', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + chr(55) + '\x35', 45229 - 45221), nzTpIcepk0o8(chr(212 - 164) + chr(10657 - 10546) + chr(0b110001) + chr(0b110101) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + chr(0b11100 + 0o33), 0b1000), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(111) + '\063' + '\x31' + chr(0b110000), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1173 - 1123) + chr(1434 - 1382) + '\064', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(2264 - 2214) + chr(54) + chr(0b10111 + 0o34), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1011001 + 0o26) + chr(0b100110 + 0o17) + chr(0b101111 + 0o6), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(1342 - 1292) + chr(0b110110) + chr(0b110011), 8), nzTpIcepk0o8(chr(1853 - 1805) + chr(111) + chr(1991 - 1942) + '\x35' + '\061', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\061' + chr(51) + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\066' + '\x30', 0b1000), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1101101 + 0o2) + chr(0b110001) + '\064' + '\x32', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(50) + chr(1547 - 1492), 0o10), nzTpIcepk0o8('\060' + chr(0b1000100 + 0o53) + chr(0b100111 + 0o14) + '\x31' + '\x34', 54346 - 54338), nzTpIcepk0o8(chr(48) + chr(111) + '\x37' + chr(1442 - 1391), 0o10), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b1101111) + '\x31' + chr(49) + '\064', 22047 - 22039), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\066' + '\064', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1001010 + 0o45) + chr(0b110000 + 0o4) + chr(54), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b10000 + 0o137) + chr(0b111 + 0o56) + '\060', 8), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(2343 - 2293) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(111) + chr(0b110010) + '\062' + chr(620 - 569), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2040 - 1985) + chr(0b1100 + 0o53), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\064' + chr(0b101000 + 0o13), 24935 - 24927), nzTpIcepk0o8('\060' + chr(111) + chr(1082 - 1032), 18809 - 18801), nzTpIcepk0o8('\060' + '\x6f' + chr(0b1000 + 0o51) + '\064' + chr(50), 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b1 + 0o62) + '\x30', 0o10), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(1087 - 1038) + chr(0b1111 + 0o50) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(6153 - 6042) + chr(0b101001 + 0o13) + chr(54), 8), nzTpIcepk0o8(chr(2231 - 2183) + '\157' + chr(2201 - 2150) + chr(54) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(393 - 345) + '\x6f' + chr(0b110010) + chr(54) + '\063', 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\061' + chr(0b110100) + chr(2184 - 2133), 57059 - 57051), nzTpIcepk0o8(chr(0b110000) + chr(2201 - 2090) + chr(0b110010) + chr(2066 - 2016) + chr(52), 21533 - 21525), nzTpIcepk0o8('\x30' + chr(4732 - 4621) + '\064' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(8647 - 8536) + chr(0b11110 + 0o25) + chr(0b110011) + chr(0b10100 + 0o41), 3509 - 3501), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001) + '\065' + chr(0b10100 + 0o43), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\x32' + '\060' + chr(1727 - 1678), 45781 - 45773), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110011) + chr(823 - 772) + chr(1199 - 1146), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + '\x35' + chr(0b110000), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b's'), '\x64' + chr(5828 - 5727) + chr(99) + chr(0b1101111) + chr(9263 - 9163) + '\x65')(chr(117) + chr(116) + '\146' + chr(0b101101) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def QH7D3zo935E_(kkvYyl9Vxi1J):
kkvYyl9Vxi1J = nDF4gVNx0u9Q.Tn6rGr7XTM7t(kkvYyl9Vxi1J)
drVmBNbwQQ4K = kkvYyl9Vxi1J.lhbM092AFW8f
if ftfygxgFas5X(drVmBNbwQQ4K) > nzTpIcepk0o8('\060' + chr(0b1000100 + 0o53) + chr(49), 0o10):
kkvYyl9Vxi1J = kkvYyl9Vxi1J.flatten()
YflxqLDflHS0 = nDF4gVNx0u9Q.UmwwEp7MzR6q(ftfygxgFas5X(kkvYyl9Vxi1J))
for (ZlbFMSG8gCoF, NoZxuO7wjArS) in _kV_Bomx8PZ4(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x1a\x1bP\x18_r\x9f\xf5\xd2~\x83-'), chr(100) + '\145' + '\x63' + chr(0b110100 + 0o73) + '\144' + chr(1793 - 1692))(chr(0b1110101) + chr(116) + chr(5219 - 5117) + chr(0b11001 + 0o24) + '\x38'))(kkvYyl9Vxi1J)):
YflxqLDflHS0[kkvYyl9Vxi1J == NoZxuO7wjArS] = ZlbFMSG8gCoF
if ftfygxgFas5X(drVmBNbwQQ4K) > nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b11110 + 0o23), 8):
YflxqLDflHS0 = YflxqLDflHS0.reshape(drVmBNbwQQ4K)
return YflxqLDflHS0 |
wiheto/teneto | teneto/utils/utils.py | multiple_contacts_get_values | def multiple_contacts_get_values(C):
"""
Given an contact representation with repeated contacts, this function removes duplicates and creates a value
Parameters
----------
C : dict
contact representation with multiple repeated contacts.
Returns
-------
:C_out: dict
Contact representation with duplicate contacts removed and the number of duplicates is now in the 'values' field.
"""
d = collections.OrderedDict()
for c in C['contacts']:
ct = tuple(c)
if ct in d:
d[ct] += 1
else:
d[ct] = 1
new_contacts = []
new_values = []
for (key, value) in d.items():
new_values.append(value)
new_contacts.append(key)
C_out = C
C_out['contacts'] = new_contacts
C_out['values'] = new_values
return C_out | python | def multiple_contacts_get_values(C):
"""
Given an contact representation with repeated contacts, this function removes duplicates and creates a value
Parameters
----------
C : dict
contact representation with multiple repeated contacts.
Returns
-------
:C_out: dict
Contact representation with duplicate contacts removed and the number of duplicates is now in the 'values' field.
"""
d = collections.OrderedDict()
for c in C['contacts']:
ct = tuple(c)
if ct in d:
d[ct] += 1
else:
d[ct] = 1
new_contacts = []
new_values = []
for (key, value) in d.items():
new_values.append(value)
new_contacts.append(key)
C_out = C
C_out['contacts'] = new_contacts
C_out['values'] = new_values
return C_out | [
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Parameters
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C : dict
contact representation with multiple repeated contacts.
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Contact representation with duplicate contacts removed and the number of duplicates is now in the 'values' field. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L683-L718 | train | This function removes duplicates and creates a value
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(11474 - 11363) + '\x31' + chr(0b10100 + 0o35) + chr(54), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(2326 - 2276) + '\065' + chr(0b110 + 0o52), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + '\x35' + '\x33', 12814 - 12806), nzTpIcepk0o8('\x30' + '\x6f' + chr(1308 - 1259) + chr(507 - 453) + '\065', 40831 - 40823), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b1001111 + 0o40) + '\x31' + '\x33' + '\x37', 0b1000), nzTpIcepk0o8('\x30' + chr(10076 - 9965) + chr(0b110001) + chr(0b110001) + '\064', 0b1000), nzTpIcepk0o8(chr(1243 - 1195) + chr(0b111010 + 0o65) + '\061' + chr(48) + chr(0b10001 + 0o46), 0b1000), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + chr(1898 - 1848) + chr(2032 - 1978) + chr(282 - 234), 5505 - 5497), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1598 - 1545) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(4946 - 4835) + chr(0b110010) + chr(50) + chr(54), 0b1000), nzTpIcepk0o8(chr(2202 - 2154) + '\x6f' + chr(0b110011) + '\x35' + chr(0b11100 + 0o27), 8), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b110100) + chr(0b1100 + 0o53), 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + '\x6f' + '\x31' + chr(0b100001 + 0o24) + chr(148 - 100), 928 - 920), nzTpIcepk0o8(chr(0b100 + 0o54) + '\157' + '\x32' + chr(0b10111 + 0o36) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(49) + chr(53), 0o10), nzTpIcepk0o8(chr(0b100110 + 0o12) + '\x6f' + chr(2261 - 2210) + chr(2011 - 1956) + chr(53), 23474 - 23466), nzTpIcepk0o8('\x30' + chr(5608 - 5497) + chr(0b100001 + 0o21) + '\061' + chr(53), 62436 - 62428), nzTpIcepk0o8('\x30' + chr(111) + chr(1951 - 1900) + chr(0b100 + 0o54), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(1724 - 1613) + chr(0b10111 + 0o32) + chr(0b110000 + 0o6) + chr(0b110101), 8), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + '\x31' + '\x34', 8), nzTpIcepk0o8('\060' + chr(5725 - 5614) + '\x34' + chr(54), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b11 + 0o154) + chr(0b101010 + 0o10) + chr(0b110010) + '\x36', 8), nzTpIcepk0o8('\x30' + chr(0b1010010 + 0o35) + chr(0b110110) + '\x31', 0b1000), nzTpIcepk0o8(chr(1904 - 1856) + '\157' + chr(49) + chr(0b110110) + '\x30', 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b1101111) + chr(51) + chr(51) + chr(52), 60475 - 60467), nzTpIcepk0o8(chr(766 - 718) + chr(0b1101111) + chr(49) + chr(48) + chr(0b110111), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b100000 + 0o22) + chr(0b11000 + 0o34) + chr(0b110101), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\063' + chr(0b1101 + 0o44) + chr(54), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + chr(0b110100) + '\x30', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\x32' + chr(0b110100 + 0o1) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(0b100110 + 0o12) + '\157' + chr(0b110010) + '\066' + chr(0b101111 + 0o4), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(0b110110) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(2042 - 1994) + '\157' + '\063' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(1068 - 1020) + chr(111) + '\x36' + '\x31', 8), nzTpIcepk0o8(chr(595 - 547) + chr(1762 - 1651) + chr(0b10101 + 0o35) + chr(0b101110 + 0o6) + chr(891 - 842), 52303 - 52295), nzTpIcepk0o8('\060' + '\157' + chr(0b110 + 0o55) + chr(0b110010) + chr(0b10000 + 0o41), 13174 - 13166), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b1010001 + 0o36) + '\x33' + '\060' + '\060', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110101) + chr(0b110010 + 0o0), 0b1000), nzTpIcepk0o8('\060' + chr(1089 - 978) + chr(0b110011) + chr(278 - 223) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(1046 - 993) + chr(0b110000), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + '\157' + chr(0b110101) + chr(919 - 871), 38022 - 38014)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'`'), chr(100) + '\x65' + '\x63' + chr(0b1011010 + 0o25) + chr(6597 - 6497) + '\145')('\x75' + chr(0b1100001 + 0o23) + chr(0b1100110) + chr(1602 - 1557) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ksVPCIWWHsME(eb_JimPifyhR):
vPPlOXQgR3SM = VmGquQq8pzNa.OrderedDict()
for teUmM7cKWZUa in eb_JimPifyhR[roI3spqORKae(ES5oEprVxulp(b'-\xc7\x85\x01>/3\xc3'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1011010 + 0o25) + '\144' + chr(6359 - 6258))(chr(117) + chr(116) + '\x66' + chr(787 - 742) + '\070')]:
yuO9YgOQNAWK = nfNqtJL5aRaY(teUmM7cKWZUa)
if yuO9YgOQNAWK in vPPlOXQgR3SM:
vPPlOXQgR3SM[yuO9YgOQNAWK] += nzTpIcepk0o8(chr(0b110000) + '\157' + chr(331 - 282), 0o10)
else:
vPPlOXQgR3SM[yuO9YgOQNAWK] = nzTpIcepk0o8('\060' + chr(0b1011010 + 0o25) + chr(0b110001), 8)
QWOTQY2AzRaQ = []
QSg0UR7saJQ5 = []
for (QYodcsDtoGq7, uV9iBiw0y_Mp) in roI3spqORKae(vPPlOXQgR3SM, roI3spqORKae(ES5oEprVxulp(b'\x17\xf7\x85;\x1a6\x0f\x84\x1d\xe0\xb3N'), chr(0b1001001 + 0o33) + chr(3243 - 3142) + '\143' + chr(0b1100001 + 0o16) + '\144' + chr(0b1100101))(chr(0b11100 + 0o131) + chr(116) + chr(0b11 + 0o143) + chr(0b1110 + 0o37) + '\070'))():
roI3spqORKae(QSg0UR7saJQ5, roI3spqORKae(ES5oEprVxulp(b"\x06\xfc\xb8A'+\x00\xdfD\xf9\xbe\x12"), chr(0b101 + 0o137) + chr(0b1100101) + '\143' + chr(111) + chr(0b110101 + 0o57) + chr(8778 - 8677))('\165' + chr(0b1110100) + chr(6997 - 6895) + '\055' + chr(0b100111 + 0o21)))(uV9iBiw0y_Mp)
roI3spqORKae(QWOTQY2AzRaQ, roI3spqORKae(ES5oEprVxulp(b"\x06\xfc\xb8A'+\x00\xdfD\xf9\xbe\x12"), chr(0b1100011 + 0o1) + chr(0b111111 + 0o46) + chr(0b1100001 + 0o2) + chr(0b11001 + 0o126) + chr(100) + '\x65')(chr(0b1001001 + 0o54) + '\164' + '\146' + chr(285 - 240) + chr(0b111000)))(QYodcsDtoGq7)
p3jkHQvzPXNr = eb_JimPifyhR
p3jkHQvzPXNr[roI3spqORKae(ES5oEprVxulp(b'-\xc7\x85\x01>/3\xc3'), chr(0b1100100) + chr(9171 - 9070) + chr(99) + chr(2541 - 2430) + '\144' + chr(0b1100101))(chr(13133 - 13016) + '\164' + chr(0b1100110) + '\055' + chr(0b110011 + 0o5))] = QWOTQY2AzRaQ
p3jkHQvzPXNr[roI3spqORKae(ES5oEprVxulp(b'8\xc9\x87\x00:?'), '\144' + '\x65' + chr(0b1100001 + 0o2) + chr(111) + chr(0b1110 + 0o126) + chr(2616 - 2515))('\x75' + chr(116) + chr(0b100110 + 0o100) + chr(0b101101) + chr(56))] = QSg0UR7saJQ5
return p3jkHQvzPXNr |
wiheto/teneto | teneto/utils/utils.py | df_to_array | def df_to_array(df, netshape, nettype):
"""
Returns a numpy array (snapshot representation) from thedataframe contact list
Parameters:
df : pandas df
pandas df with columns, i,j,t.
netshape : tuple
network shape, format: (node, time)
nettype : str
'wu', 'wd', 'bu', 'bd'
Returns:
--------
G : array
(node,node,time) array for the network
"""
if len(df) > 0:
idx = np.array(list(map(list, df.values)))
G = np.zeros([netshape[0], netshape[0], netshape[1]])
if idx.shape[1] == 3:
if nettype[-1] == 'u':
idx = np.vstack([idx, idx[:, [1, 0, 2]]])
idx = idx.astype(int)
G[idx[:, 0], idx[:, 1], idx[:, 2]] = 1
elif idx.shape[1] == 4:
if nettype[-1] == 'u':
idx = np.vstack([idx, idx[:, [1, 0, 2, 3]]])
weights = idx[:, 3]
idx = np.array(idx[:, :3], dtype=int)
G[idx[:, 0], idx[:, 1], idx[:, 2]] = weights
else:
G = np.zeros([netshape[0], netshape[0], netshape[1]])
return G | python | def df_to_array(df, netshape, nettype):
"""
Returns a numpy array (snapshot representation) from thedataframe contact list
Parameters:
df : pandas df
pandas df with columns, i,j,t.
netshape : tuple
network shape, format: (node, time)
nettype : str
'wu', 'wd', 'bu', 'bd'
Returns:
--------
G : array
(node,node,time) array for the network
"""
if len(df) > 0:
idx = np.array(list(map(list, df.values)))
G = np.zeros([netshape[0], netshape[0], netshape[1]])
if idx.shape[1] == 3:
if nettype[-1] == 'u':
idx = np.vstack([idx, idx[:, [1, 0, 2]]])
idx = idx.astype(int)
G[idx[:, 0], idx[:, 1], idx[:, 2]] = 1
elif idx.shape[1] == 4:
if nettype[-1] == 'u':
idx = np.vstack([idx, idx[:, [1, 0, 2, 3]]])
weights = idx[:, 3]
idx = np.array(idx[:, :3], dtype=int)
G[idx[:, 0], idx[:, 1], idx[:, 2]] = weights
else:
G = np.zeros([netshape[0], netshape[0], netshape[1]])
return G | [
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pandas df with columns, i,j,t.
netshape : tuple
network shape, format: (node, time)
nettype : str
'wu', 'wd', 'bu', 'bd'
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L721-L754 | train | Returns a numpy array representation of the contact list of the specified network type | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\x6f' + '\x32' + '\x33' + chr(51), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x32' + chr(1644 - 1594), 0b1000), nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + chr(2038 - 1989) + chr(54) + chr(794 - 744), 0b1000), nzTpIcepk0o8('\060' + chr(1599 - 1488) + chr(0b110011) + '\067' + '\063', 0b1000), nzTpIcepk0o8(chr(192 - 144) + chr(0b110111 + 0o70) + '\061' + '\067' + chr(2750 - 2696), 51554 - 51546), nzTpIcepk0o8('\x30' + chr(111) + '\066' + '\065', 65533 - 65525), nzTpIcepk0o8(chr(1918 - 1870) + '\x6f' + chr(0b110011 + 0o2) + chr(209 - 157), 0o10), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1101111) + '\063' + '\060' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(0b1100101 + 0o12) + chr(764 - 715) + chr(0b110110), 49189 - 49181), nzTpIcepk0o8('\060' + chr(111) + chr(0b110010) + chr(0b110110) + '\061', 0o10), nzTpIcepk0o8('\060' + chr(0b1001101 + 0o42) + '\x33' + chr(0b110010) + chr(54), 0b1000), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(0b1101111) + '\x31' + '\x34' + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(9058 - 8947) + '\x33' + '\x35' + chr(0b10000 + 0o46), ord("\x08")), nzTpIcepk0o8(chr(1579 - 1531) + '\x6f' + chr(0b110010) + '\060' + chr(54), 47078 - 47070), nzTpIcepk0o8(chr(0b110000) + chr(0b1010001 + 0o36) + chr(1882 - 1832) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(2429 - 2375) + chr(0b100 + 0o62), ord("\x08")), nzTpIcepk0o8(chr(1182 - 1134) + chr(0b111011 + 0o64) + chr(0b110111) + '\x36', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110110) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b1101111) + chr(51) + chr(0b11110 + 0o27) + chr(0b110100), 1840 - 1832), nzTpIcepk0o8('\060' + chr(111) + '\x32' + chr(55) + '\x34', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001) + '\x34' + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(11265 - 11154) + '\x32' + chr(54), 8), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + chr(0b110001) + '\062' + chr(1062 - 1013), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(2053 - 2000) + chr(1513 - 1463), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x32' + chr(0b110111) + chr(471 - 422), ord("\x08")), nzTpIcepk0o8('\x30' + chr(8996 - 8885) + '\x33' + chr(0b11100 + 0o27) + '\064', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b10100 + 0o43) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(0b1101111) + '\x32' + '\066' + chr(48), ord("\x08")), nzTpIcepk0o8(chr(96 - 48) + chr(0b1101111) + '\x33' + chr(52) + chr(50), 10385 - 10377), nzTpIcepk0o8(chr(1106 - 1058) + '\157' + chr(0b110010) + chr(1519 - 1465) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(111) + chr(506 - 457) + chr(0b110001) + chr(961 - 912), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(50) + '\064' + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(0b110100) + chr(52), 11324 - 11316), nzTpIcepk0o8('\x30' + chr(111) + chr(2043 - 1992) + chr(55) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110010) + '\066' + chr(0b110101), 0o10), nzTpIcepk0o8(chr(1365 - 1317) + chr(3717 - 3606) + chr(1638 - 1587) + chr(0b11010 + 0o27) + chr(0b10100 + 0o41), 0o10), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(111) + chr(0b11 + 0o56) + '\067' + chr(50), 6388 - 6380), nzTpIcepk0o8('\060' + chr(0b1101011 + 0o4) + '\062' + '\x33' + chr(0b1 + 0o64), 49695 - 49687), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1101100 + 0o3) + chr(0b110 + 0o53) + chr(892 - 844) + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(6290 - 6179) + chr(0b100111 + 0o12) + '\066' + chr(54), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(2678 - 2567) + chr(0b11 + 0o62) + '\060', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb5'), '\144' + '\145' + chr(0b100001 + 0o102) + chr(0b1101111) + '\x64' + '\145')(chr(10116 - 9999) + chr(0b111110 + 0o66) + '\146' + chr(0b101101) + chr(1810 - 1754)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def BCpq18T_f7hG(jpOn8DNZxbbx, k_hzkZorywiQ, PP9awkpIfdrd):
if ftfygxgFas5X(jpOn8DNZxbbx) > nzTpIcepk0o8('\060' + '\x6f' + chr(1589 - 1541), 0o10):
At3kbMoXzzmV = nDF4gVNx0u9Q.Tn6rGr7XTM7t(H4NoA26ON7iG(VVP82lOIz6CD(H4NoA26ON7iG, jpOn8DNZxbbx.CsodZJH6x9Tx)))
lmLTjtHGkU5F = nDF4gVNx0u9Q.UmwwEp7MzR6q([k_hzkZorywiQ[nzTpIcepk0o8(chr(1955 - 1907) + '\157' + chr(1427 - 1379), 8)], k_hzkZorywiQ[nzTpIcepk0o8(chr(1754 - 1706) + '\x6f' + chr(0b10101 + 0o33), 8)], k_hzkZorywiQ[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001), 0b1000)]])
if roI3spqORKae(At3kbMoXzzmV, roI3spqORKae(ES5oEprVxulp(b'\xf7z\x10\xb6N\x0c\x1e\x87H\xe6\xee\x04'), chr(100) + chr(0b11010 + 0o113) + chr(0b110111 + 0o54) + chr(11597 - 11486) + chr(0b1100100) + chr(0b110100 + 0o61))(chr(12047 - 11930) + chr(0b1110100) + '\146' + '\x2d' + '\x38'))[nzTpIcepk0o8(chr(0b110000) + chr(0b1001011 + 0o44) + '\061', 8)] == nzTpIcepk0o8('\060' + '\157' + chr(0b100000 + 0o23), 0o10):
if PP9awkpIfdrd[-nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xee'), '\x64' + chr(0b101010 + 0o73) + chr(0b1100011) + chr(1364 - 1253) + '\x64' + '\x65')('\165' + chr(0b1110010 + 0o2) + chr(0b10010 + 0o124) + chr(0b101000 + 0o5) + '\x38'):
At3kbMoXzzmV = nDF4gVNx0u9Q.vstack([At3kbMoXzzmV, At3kbMoXzzmV[:, [nzTpIcepk0o8('\x30' + chr(6514 - 6403) + chr(0b100111 + 0o12), 8), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\x6f' + chr(0b101011 + 0o5), 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(667 - 617), 43111 - 43103)]]])
At3kbMoXzzmV = At3kbMoXzzmV.astype(nzTpIcepk0o8)
lmLTjtHGkU5F[At3kbMoXzzmV[:, nzTpIcepk0o8('\060' + chr(0b101101 + 0o102) + chr(0b110000), 8)], At3kbMoXzzmV[:, nzTpIcepk0o8(chr(1031 - 983) + '\x6f' + chr(0b110 + 0o53), 8)], At3kbMoXzzmV[:, nzTpIcepk0o8('\060' + '\x6f' + chr(50), 8)]] = nzTpIcepk0o8(chr(907 - 859) + chr(111) + chr(0b101111 + 0o2), 8)
elif roI3spqORKae(At3kbMoXzzmV, roI3spqORKae(ES5oEprVxulp(b'\xf7z\x10\xb6N\x0c\x1e\x87H\xe6\xee\x04'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(0b110000 + 0o65))('\165' + '\164' + chr(102) + '\055' + '\070'))[nzTpIcepk0o8('\060' + chr(111) + chr(0b110001), 8)] == nzTpIcepk0o8('\x30' + '\157' + chr(2520 - 2468), 0b1000):
if PP9awkpIfdrd[-nzTpIcepk0o8(chr(0b110 + 0o52) + chr(2607 - 2496) + '\061', 8)] == roI3spqORKae(ES5oEprVxulp(b'\xee'), chr(100) + chr(0b1100101) + chr(0b110110 + 0o55) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(4836 - 4720) + '\x66' + '\055' + chr(0b111000)):
At3kbMoXzzmV = nDF4gVNx0u9Q.vstack([At3kbMoXzzmV, At3kbMoXzzmV[:, [nzTpIcepk0o8(chr(0b1 + 0o57) + '\157' + chr(0b110001), 8), nzTpIcepk0o8(chr(1577 - 1529) + '\157' + '\060', 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(50), 8), nzTpIcepk0o8(chr(0b110000) + chr(11121 - 11010) + chr(0b110011), 8)]]])
TtzqJLqe_ecy = At3kbMoXzzmV[:, nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(6668 - 6557) + '\063', 8)]
At3kbMoXzzmV = nDF4gVNx0u9Q.Tn6rGr7XTM7t(At3kbMoXzzmV[:, :nzTpIcepk0o8('\060' + '\x6f' + chr(805 - 754), 8)], dtype=nzTpIcepk0o8)
lmLTjtHGkU5F[At3kbMoXzzmV[:, nzTpIcepk0o8(chr(1593 - 1545) + '\x6f' + chr(0b1100 + 0o44), 8)], At3kbMoXzzmV[:, nzTpIcepk0o8('\x30' + chr(0b100101 + 0o112) + '\x31', 8)], At3kbMoXzzmV[:, nzTpIcepk0o8(chr(1598 - 1550) + '\157' + chr(0b11110 + 0o24), 8)]] = TtzqJLqe_ecy
else:
lmLTjtHGkU5F = nDF4gVNx0u9Q.UmwwEp7MzR6q([k_hzkZorywiQ[nzTpIcepk0o8('\060' + '\157' + chr(48), 8)], k_hzkZorywiQ[nzTpIcepk0o8(chr(48) + chr(10771 - 10660) + '\060', 8)], k_hzkZorywiQ[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b100100 + 0o15), 8)]])
return lmLTjtHGkU5F |
wiheto/teneto | teneto/utils/utils.py | check_distance_funciton_input | def check_distance_funciton_input(distance_func_name, netinfo):
"""
Funciton checks distance_func_name, if it is specified as 'default'. Then given the type of the network selects a default distance function.
Parameters
----------
distance_func_name : str
distance function name.
netinfo : dict
the output of utils.process_input
Returns
-------
distance_func_name : str
distance function name.
"""
if distance_func_name == 'default' and netinfo['nettype'][0] == 'b':
print('Default distance funciton specified. As network is binary, using Hamming')
distance_func_name = 'hamming'
elif distance_func_name == 'default' and netinfo['nettype'][0] == 'w':
distance_func_name = 'euclidean'
print(
'Default distance funciton specified. '
'As network is weighted, using Euclidean')
return distance_func_name | python | def check_distance_funciton_input(distance_func_name, netinfo):
"""
Funciton checks distance_func_name, if it is specified as 'default'. Then given the type of the network selects a default distance function.
Parameters
----------
distance_func_name : str
distance function name.
netinfo : dict
the output of utils.process_input
Returns
-------
distance_func_name : str
distance function name.
"""
if distance_func_name == 'default' and netinfo['nettype'][0] == 'b':
print('Default distance funciton specified. As network is binary, using Hamming')
distance_func_name = 'hamming'
elif distance_func_name == 'default' and netinfo['nettype'][0] == 'w':
distance_func_name = 'euclidean'
print(
'Default distance funciton specified. '
'As network is weighted, using Euclidean')
return distance_func_name | [
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distance function name.
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distance function name. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L757-L786 | train | Function that checks distance_func_name given the type of the network and returns the distance function name. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(2168 - 2120) + chr(111) + chr(0b101111 + 0o4) + chr(0b1001 + 0o47) + chr(180 - 125), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101000 + 0o13), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(437 - 387) + '\062' + chr(52), 0o10), nzTpIcepk0o8('\060' + chr(11581 - 11470) + '\065' + '\061', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1 + 0o156) + '\x32' + '\060' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(1445 - 1397) + chr(0b1010010 + 0o35) + chr(50) + '\x35' + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(455 - 404) + chr(1715 - 1661) + chr(55), 43830 - 43822), nzTpIcepk0o8('\x30' + chr(0b100010 + 0o115) + chr(0b1101 + 0o44) + chr(52) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(111) + chr(0b11010 + 0o27) + chr(0b11100 + 0o24) + '\x32', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(51) + chr(0b110110) + '\x31', 0b1000), nzTpIcepk0o8('\x30' + chr(6660 - 6549) + chr(0b1111 + 0o42) + chr(0b110001) + chr(2281 - 2233), 17106 - 17098), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b1101 + 0o45) + chr(0b10001 + 0o42) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(0b1101111) + chr(55) + chr(0b10000 + 0o47), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(0b110110) + '\067', 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1101111) + chr(0b100101 + 0o14) + chr(0b110011) + chr(50), 31928 - 31920), nzTpIcepk0o8(chr(383 - 335) + chr(1009 - 898) + '\x33' + chr(55), 0b1000), nzTpIcepk0o8(chr(329 - 281) + chr(0b11101 + 0o122) + chr(0b110111) + chr(0b110111), 8), nzTpIcepk0o8('\060' + chr(111) + chr(0b11111 + 0o27) + '\062', 47200 - 47192), nzTpIcepk0o8(chr(1220 - 1172) + '\157' + '\x31' + chr(1606 - 1553) + chr(0b101001 + 0o13), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b1111 + 0o42) + '\067' + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + '\062' + '\x30' + chr(1517 - 1466), 10415 - 10407), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1010110 + 0o31) + '\061' + '\060' + '\x34', 0b1000), nzTpIcepk0o8(chr(1598 - 1550) + '\157' + chr(0b110001) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x36', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1001010 + 0o45) + '\062' + chr(0b110111) + '\067', 0b1000), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(111) + chr(1740 - 1691) + chr(0b110000) + '\060', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(2038 - 1987) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(2420 - 2309) + '\x36' + chr(0b1111 + 0o41), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(51) + '\063' + chr(49), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(50) + '\x34' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110010) + '\060' + chr(48), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(49) + chr(421 - 370) + chr(1959 - 1911), 0o10), nzTpIcepk0o8(chr(1295 - 1247) + '\x6f' + chr(1769 - 1719) + chr(53) + chr(0b0 + 0o60), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + '\060' + chr(0b110011 + 0o4), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(392 - 339) + chr(52), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b110100) + '\x30', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1677 - 1626) + chr(51) + chr(0b111 + 0o52), 8), nzTpIcepk0o8(chr(48) + chr(0b10011 + 0o134) + chr(0b110001) + '\061' + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + '\065' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101011 + 0o14) + chr(53), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\157' + '\065' + chr(0b110000), 53463 - 53455)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe9'), chr(0b101101 + 0o67) + chr(101) + '\x63' + chr(0b1100 + 0o143) + chr(100) + chr(101))(chr(117) + chr(0b10011 + 0o141) + chr(0b1010011 + 0o23) + chr(1720 - 1675) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def nfgEaVzWV0cv(M8_BmcOiRPe7, CHqJ5ht8kzQa):
if M8_BmcOiRPe7 == roI3spqORKae(ES5oEprVxulp(b'\xa3f\xf2H\xf2\xc3\x83'), chr(0b1100100) + chr(0b1111 + 0o126) + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(100) + chr(0b1100010 + 0o3))('\x75' + '\x74' + chr(0b101 + 0o141) + '\x2d' + chr(56)) and CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\xa9f\xe0]\xfe\xdf\x92'), chr(2232 - 2132) + '\145' + chr(99) + '\157' + chr(100) + '\x65')(chr(117) + chr(0b101000 + 0o114) + chr(0b1100110) + '\x2d' + chr(56))][nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\060', 0b1000)] == roI3spqORKae(ES5oEprVxulp(b'\xa5'), chr(6878 - 6778) + chr(101) + '\x63' + chr(111) + '\144' + '\145')('\165' + chr(0b1110100) + chr(102) + '\x2d' + '\x38'):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\x83f\xf2H\xf2\xc3\x83E&\x98;\xe8^\x199z\x1fT\x19\x17\xe0-|i\xd1`\xae@\xbc\xc4\xe9>\xc1"H\x0e\xf9\x0e\x19\x1d\xa9f\xe0^\xe8\xdd\x9cE+\x82h\xfeV\x19;mF\x1eL\x0c\xf0-fa\x9f\x08\xbc]\xb4\xce\xee?'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\144' + '\145')(chr(5225 - 5108) + chr(5119 - 5003) + chr(7530 - 7428) + chr(45) + chr(0b10110 + 0o42)))
M8_BmcOiRPe7 = roI3spqORKae(ES5oEprVxulp(b'\xafb\xf9D\xee\xc1\x90'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(1326 - 1224) + chr(45) + chr(56))
elif M8_BmcOiRPe7 == roI3spqORKae(ES5oEprVxulp(b'\xa3f\xf2H\xf2\xc3\x83'), chr(2729 - 2629) + chr(0b10111 + 0o116) + chr(6290 - 6191) + chr(5571 - 5460) + '\x64' + chr(3274 - 3173))(chr(7552 - 7435) + chr(0b1110100) + chr(102) + chr(274 - 229) + chr(1496 - 1440)) and CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\xa9f\xe0]\xfe\xdf\x92'), chr(100) + chr(101) + chr(8716 - 8617) + chr(0b1101111) + chr(9553 - 9453) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(0b11001 + 0o24) + '\070')][nzTpIcepk0o8('\x30' + chr(0b1000 + 0o147) + '\060', 8)] == roI3spqORKae(ES5oEprVxulp(b'\xb0'), '\144' + '\145' + chr(0b1100011) + chr(8357 - 8246) + chr(0b110001 + 0o63) + '\x65')(chr(6923 - 6806) + '\164' + chr(102) + chr(45) + chr(56)):
M8_BmcOiRPe7 = roI3spqORKae(ES5oEprVxulp(b'\xa2v\xf7E\xee\xcb\x92\x04,'), chr(0b1100100) + chr(101) + '\x63' + chr(848 - 737) + '\144' + '\145')('\x75' + chr(116) + chr(3397 - 3295) + chr(1572 - 1527) + '\070')
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\x83f\xf2H\xf2\xc3\x83E&\x98;\xe8^\x199z\x1fT\x19\x17\xe0-|i\xd1`\xae@\xbc\xc4\xe9>\xc1"H\x0e\xf9\x0e\x19\x1d\xa9f\xe0^\xe8\xdd\x9cE+\x82h\xebZ\x1e=wKW\x08U\xa31{o\xd1\'\xfdu\xac\xc4\xec1\xcc"MN'), chr(2818 - 2718) + '\145' + '\x63' + chr(0b1101111) + chr(0b1101 + 0o127) + chr(6718 - 6617))('\165' + chr(7661 - 7545) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
return M8_BmcOiRPe7 |
wiheto/teneto | teneto/utils/utils.py | load_parcellation_coords | def load_parcellation_coords(parcellation_name):
"""
Loads coordinates of included parcellations.
Parameters
----------
parcellation_name : str
options: 'gordon2014_333', 'power2012_264', 'shen2013_278'.
Returns
-------
parc : array
parcellation cordinates
"""
path = tenetopath[0] + '/data/parcellation/' + parcellation_name + '.csv'
parc = np.loadtxt(path, skiprows=1, delimiter=',', usecols=[1, 2, 3])
return parc | python | def load_parcellation_coords(parcellation_name):
"""
Loads coordinates of included parcellations.
Parameters
----------
parcellation_name : str
options: 'gordon2014_333', 'power2012_264', 'shen2013_278'.
Returns
-------
parc : array
parcellation cordinates
"""
path = tenetopath[0] + '/data/parcellation/' + parcellation_name + '.csv'
parc = np.loadtxt(path, skiprows=1, delimiter=',', usecols=[1, 2, 3])
return parc | [
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Parameters
----------
parcellation_name : str
options: 'gordon2014_333', 'power2012_264', 'shen2013_278'.
Returns
-------
parc : array
parcellation cordinates | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L789-L809 | train | Loads coordinates of included parcellations. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(0b1011000 + 0o27) + chr(0b110010) + chr(2249 - 2200), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b100100 + 0o15) + '\x33' + '\x36', 26867 - 26859), nzTpIcepk0o8('\x30' + chr(0b101011 + 0o104) + chr(0b110011) + chr(48) + chr(0b100110 + 0o13), 35940 - 35932), nzTpIcepk0o8(chr(1869 - 1821) + '\157' + chr(2201 - 2151) + '\064' + '\x32', 0b1000), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(5242 - 5131) + chr(0b1011 + 0o51) + chr(0b110111), 32024 - 32016), nzTpIcepk0o8('\x30' + chr(0b101001 + 0o106) + '\066' + chr(524 - 476), 0b1000), nzTpIcepk0o8(chr(1656 - 1608) + '\x6f' + '\x32' + chr(0b1010 + 0o52) + chr(0b10101 + 0o41), 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + '\x6f' + '\065' + '\x33', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1011110 + 0o21) + '\063' + '\x36' + '\x36', 0b1000), nzTpIcepk0o8(chr(48) + chr(8849 - 8738) + chr(0b110010) + chr(52) + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + '\x34' + '\x35', 27391 - 27383), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(111) + chr(0b10001 + 0o45) + chr(49), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1010001 + 0o36) + '\066' + chr(108 - 54), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\066' + chr(53), 8562 - 8554), nzTpIcepk0o8(chr(1831 - 1783) + chr(0b1101111) + chr(2103 - 2054) + chr(0b110101) + chr(0b1000 + 0o50), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(491 - 442) + '\x30' + chr(1476 - 1421), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b11100 + 0o33), 0o10), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(0b1101111) + '\x33' + chr(49) + chr(0b100101 + 0o21), 10704 - 10696), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + chr(0b110110) + '\x31', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(1775 - 1724) + chr(0b110111) + '\x35', 0o10), nzTpIcepk0o8(chr(1479 - 1431) + chr(0b1101111) + chr(51) + chr(0b101000 + 0o15) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(1849 - 1801) + chr(0b1101111) + chr(0b11000 + 0o33) + chr(53) + chr(2061 - 2010), 0b1000), nzTpIcepk0o8(chr(0b0 + 0o60) + '\x6f' + '\x32' + chr(0b11101 + 0o23) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(332 - 284) + chr(0b10111 + 0o130) + chr(49) + '\x32' + chr(0b1101 + 0o50), ord("\x08")), nzTpIcepk0o8(chr(0b110000 + 0o0) + chr(1303 - 1192) + chr(0b110001) + chr(0b110011) + chr(0b100111 + 0o15), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(49) + '\062' + '\x30', 0o10), nzTpIcepk0o8('\x30' + chr(0b101000 + 0o107) + '\061' + '\x33' + chr(0b110001), 23718 - 23710), nzTpIcepk0o8('\060' + '\157' + chr(0b110100) + '\063', 0b1000), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(5700 - 5589) + chr(0b101 + 0o56) + '\061' + '\063', 0o10), nzTpIcepk0o8(chr(0b10111 + 0o31) + '\x6f' + chr(124 - 73) + chr(0b11100 + 0o33) + chr(1329 - 1275), 42907 - 42899), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1944 - 1894) + '\x34' + '\x32', 8), nzTpIcepk0o8('\060' + '\x6f' + chr(2189 - 2139) + chr(2389 - 2339) + '\061', 25514 - 25506), nzTpIcepk0o8(chr(533 - 485) + '\157' + chr(0b110001) + '\x31' + '\062', 0b1000), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b1001010 + 0o45) + '\x33' + chr(0b11001 + 0o27) + chr(964 - 916), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110010) + '\x35' + chr(812 - 761), 8080 - 8072), nzTpIcepk0o8('\x30' + chr(11451 - 11340) + '\061' + chr(1645 - 1593), 54828 - 54820), nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(0b1101111) + chr(2499 - 2449) + chr(0b1000 + 0o53) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(178 - 128) + chr(0b101101 + 0o7) + '\061', 8), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b1000 + 0o147) + chr(380 - 329) + chr(51) + chr(0b101110 + 0o5), 2741 - 2733), nzTpIcepk0o8(chr(469 - 421) + chr(7856 - 7745) + chr(1080 - 1030) + chr(1879 - 1824) + chr(0b1100 + 0o44), 51138 - 51130)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(1739 - 1628) + chr(53) + chr(0b110000), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'?'), chr(2659 - 2559) + '\145' + '\143' + '\157' + '\144' + chr(101))('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(0b110100 + 0o4)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def YURYBWjXnsMA(KQGohp6m7weJ):
_pSYqrosNb95 = BrPOYJe3pzz1[nzTpIcepk0o8('\060' + chr(111) + chr(1458 - 1410), ord("\x08"))] + roI3spqORKae(ES5oEprVxulp(b'>:\xa0\xd6F\x1f\xd6J\x84\xc2@]ZT\x1c.h\xa0\x9e'), chr(0b1100100) + chr(0b1011001 + 0o14) + chr(0b1000001 + 0o42) + chr(0b1101111) + '\144' + '\x65')(chr(9983 - 9866) + '\164' + chr(8614 - 8512) + chr(0b101101) + chr(0b110110 + 0o2)) + KQGohp6m7weJ + roI3spqORKae(ES5oEprVxulp(b'?=\xb2\xd4'), '\x64' + chr(0b1010010 + 0o23) + '\143' + chr(1389 - 1278) + '\144' + chr(101))('\165' + chr(8682 - 8566) + chr(102) + '\x2d' + chr(0b11110 + 0o32))
QsBwHdjCKsfY = nDF4gVNx0u9Q.loadtxt(_pSYqrosNb95, skiprows=nzTpIcepk0o8(chr(1070 - 1022) + chr(0b1101111) + chr(67 - 18), 5438 - 5430), delimiter=roI3spqORKae(ES5oEprVxulp(b'='), '\144' + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(0b1101000 + 0o15) + '\x74' + chr(5696 - 5594) + '\x2d' + chr(0b111000)), usecols=[nzTpIcepk0o8(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b11 + 0o56), 8), nzTpIcepk0o8('\x30' + chr(111) + '\062', 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b111001 + 0o66) + chr(0b110011), 0b1000)])
return QsBwHdjCKsfY |
wiheto/teneto | teneto/utils/utils.py | make_parcellation | def make_parcellation(data_path, parcellation, parc_type=None, parc_params=None):
"""
Performs a parcellation which reduces voxel space to regions of interest (brain data).
Parameters
----------
data_path : str
Path to .nii image.
parcellation : str
Specify which parcellation that you would like to use. For MNI: 'gordon2014_333', 'power2012_264', For TAL: 'shen2013_278'.
It is possible to add the OH subcotical atlas on top of a cortical atlas (e.g. gordon) by adding:
'+OH' (for oxford harvard subcortical atlas) and '+SUIT' for SUIT cerebellar atlas.
e.g.: gordon2014_333+OH+SUIT'
parc_type : str
Can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
Returns
-------
data : array
Data after the parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton.
"""
if isinstance(parcellation, str):
parcin = ''
if '+' in parcellation:
parcin = parcellation
parcellation = parcellation.split('+')[0]
if '+OH' in parcin:
subcortical = True
else:
subcortical = None
if '+SUIT' in parcin:
cerebellar = True
else:
cerebellar = None
if not parc_type or not parc_params:
path = tenetopath[0] + '/data/parcellation_defaults/defaults.json'
with open(path) as data_file:
defaults = json.load(data_file)
if not parc_type:
parc_type = defaults[parcellation]['type']
print('Using default parcellation type')
if not parc_params:
parc_params = defaults[parcellation]['params']
print('Using default parameters')
if parc_type == 'sphere':
parcellation = load_parcellation_coords(parcellation)
seed = NiftiSpheresMasker(np.array(parcellation), **parc_params)
data = seed.fit_transform(data_path)
elif parc_type == 'region':
path = tenetopath[0] + '/data/parcellation/' + parcellation + '.nii.gz'
region = NiftiLabelsMasker(path, **parc_params)
data = region.fit_transform(data_path)
else:
raise ValueError('Unknown parc_type specified')
if subcortical:
subatlas = fetch_atlas_harvard_oxford('sub-maxprob-thr0-2mm')['maps']
region = NiftiLabelsMasker(subatlas, **parc_params)
data_sub = region.fit_transform(data_path)
data = np.hstack([data, data_sub])
if cerebellar:
path = tenetopath[0] + '/data/parcellation/Cerebellum-SUIT_space-MNI152NLin2009cAsym.nii.gz'
region = NiftiLabelsMasker(path, **parc_params)
data_cerebellar = region.fit_transform(data_path)
data = np.hstack([data, data_cerebellar])
return data | python | def make_parcellation(data_path, parcellation, parc_type=None, parc_params=None):
"""
Performs a parcellation which reduces voxel space to regions of interest (brain data).
Parameters
----------
data_path : str
Path to .nii image.
parcellation : str
Specify which parcellation that you would like to use. For MNI: 'gordon2014_333', 'power2012_264', For TAL: 'shen2013_278'.
It is possible to add the OH subcotical atlas on top of a cortical atlas (e.g. gordon) by adding:
'+OH' (for oxford harvard subcortical atlas) and '+SUIT' for SUIT cerebellar atlas.
e.g.: gordon2014_333+OH+SUIT'
parc_type : str
Can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
Returns
-------
data : array
Data after the parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton.
"""
if isinstance(parcellation, str):
parcin = ''
if '+' in parcellation:
parcin = parcellation
parcellation = parcellation.split('+')[0]
if '+OH' in parcin:
subcortical = True
else:
subcortical = None
if '+SUIT' in parcin:
cerebellar = True
else:
cerebellar = None
if not parc_type or not parc_params:
path = tenetopath[0] + '/data/parcellation_defaults/defaults.json'
with open(path) as data_file:
defaults = json.load(data_file)
if not parc_type:
parc_type = defaults[parcellation]['type']
print('Using default parcellation type')
if not parc_params:
parc_params = defaults[parcellation]['params']
print('Using default parameters')
if parc_type == 'sphere':
parcellation = load_parcellation_coords(parcellation)
seed = NiftiSpheresMasker(np.array(parcellation), **parc_params)
data = seed.fit_transform(data_path)
elif parc_type == 'region':
path = tenetopath[0] + '/data/parcellation/' + parcellation + '.nii.gz'
region = NiftiLabelsMasker(path, **parc_params)
data = region.fit_transform(data_path)
else:
raise ValueError('Unknown parc_type specified')
if subcortical:
subatlas = fetch_atlas_harvard_oxford('sub-maxprob-thr0-2mm')['maps']
region = NiftiLabelsMasker(subatlas, **parc_params)
data_sub = region.fit_transform(data_path)
data = np.hstack([data, data_sub])
if cerebellar:
path = tenetopath[0] + '/data/parcellation/Cerebellum-SUIT_space-MNI152NLin2009cAsym.nii.gz'
region = NiftiLabelsMasker(path, **parc_params)
data_cerebellar = region.fit_transform(data_path)
data = np.hstack([data, data_cerebellar])
return data | [
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Parameters
----------
data_path : str
Path to .nii image.
parcellation : str
Specify which parcellation that you would like to use. For MNI: 'gordon2014_333', 'power2012_264', For TAL: 'shen2013_278'.
It is possible to add the OH subcotical atlas on top of a cortical atlas (e.g. gordon) by adding:
'+OH' (for oxford harvard subcortical atlas) and '+SUIT' for SUIT cerebellar atlas.
e.g.: gordon2014_333+OH+SUIT'
parc_type : str
Can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
Returns
-------
data : array
Data after the parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton. | [
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")",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L812-L890 | train | This function creates a parcellation for a single site. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(1238 - 1188) + chr(2221 - 2167), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b101000 + 0o107) + chr(50) + chr(0b110000 + 0o5) + chr(0b1110 + 0o50), 22251 - 22243), nzTpIcepk0o8(chr(48) + chr(111) + '\x31' + chr(0b11 + 0o63), 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + '\x31' + chr(54) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b110010 + 0o75) + chr(50) + chr(1386 - 1331) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(0b101110 + 0o2) + '\064', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b110 + 0o151) + chr(49) + '\066' + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(1085 - 1037) + chr(0b1100101 + 0o12) + chr(49) + chr(0b1010 + 0o46) + chr(1414 - 1364), 0o10), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\157' + chr(627 - 578) + chr(48) + chr(0b110001), 53514 - 53506), nzTpIcepk0o8(chr(48) + chr(0b1001 + 0o146) + chr(2088 - 2037) + chr(0b100000 + 0o22) + chr(0b11 + 0o61), 62182 - 62174), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x33' + chr(280 - 227) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11 + 0o57) + chr(1506 - 1451) + '\x31', 47657 - 47649), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(0b110010) + chr(0b101001 + 0o10), ord("\x08")), nzTpIcepk0o8(chr(1958 - 1910) + chr(0b1011101 + 0o22) + chr(51), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010 + 0o4) + '\060', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(48) + '\060', 0o10), nzTpIcepk0o8('\x30' + chr(0b10010 + 0o135) + chr(51) + chr(0b1011 + 0o51) + chr(50), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(51) + chr(0b101111 + 0o6) + chr(50), 0b1000), nzTpIcepk0o8(chr(1839 - 1791) + '\x6f' + chr(593 - 542) + chr(2193 - 2141) + chr(53), 6521 - 6513), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061' + chr(0b10110 + 0o41) + '\x36', 13199 - 13191), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(94 - 44) + chr(305 - 250) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(429 - 378) + chr(1260 - 1205) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(0b110011) + chr(0b110101), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\063' + '\065' + chr(50), 8), nzTpIcepk0o8('\060' + chr(0b1010 + 0o145) + chr(50) + '\064' + chr(0b10111 + 0o40), 20396 - 20388), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(51) + chr(0b101000 + 0o10) + '\066', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + '\x36' + chr(595 - 540), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\062' + '\065' + chr(50), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b1101 + 0o46) + chr(51) + chr(147 - 95), 29234 - 29226), nzTpIcepk0o8(chr(1252 - 1204) + chr(0b1101111) + chr(56 - 7) + '\x34' + chr(659 - 607), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + chr(1695 - 1645) + chr(1641 - 1593), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\062' + chr(0b110011), 52025 - 52017), nzTpIcepk0o8(chr(48) + chr(8906 - 8795) + chr(0b10111 + 0o32) + '\060' + chr(52), 32508 - 32500), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(7600 - 7489) + chr(0b110001) + chr(51) + '\x30', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b11111 + 0o22) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(10117 - 10006) + '\x36' + chr(0b101001 + 0o15), ord("\x08")), nzTpIcepk0o8(chr(0b11100 + 0o24) + '\x6f' + chr(0b110010) + chr(279 - 225) + chr(0b110000), 32920 - 32912), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(0b1101111) + chr(49) + chr(892 - 837) + '\063', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1010011 + 0o34) + '\063' + chr(1886 - 1831) + '\x30', 0o10), nzTpIcepk0o8(chr(1299 - 1251) + '\x6f' + '\x31' + chr(0b110 + 0o55) + chr(0b101010 + 0o7), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + '\x35' + '\x30', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'x'), chr(5295 - 5195) + chr(0b1000001 + 0o44) + chr(9641 - 9542) + chr(111) + chr(2552 - 2452) + chr(0b111 + 0o136))(chr(1982 - 1865) + '\x74' + chr(8676 - 8574) + '\055' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def CYYxS3qeo7jy(LX04APwPl1a5, DcUiGA8VbBwg, PQK26459sb_5=None, pGmyM3ixtHf7=None):
if suIjIS24Zkqw(DcUiGA8VbBwg, N9zlRy29S1SS):
pxs7lcz8_fl2 = roI3spqORKae(ES5oEprVxulp(b''), '\144' + chr(6818 - 6717) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(0b1110011 + 0o2) + chr(0b1001001 + 0o53) + chr(0b1100110) + chr(1686 - 1641) + chr(56))
if roI3spqORKae(ES5oEprVxulp(b'}'), '\144' + chr(8768 - 8667) + '\x63' + chr(10736 - 10625) + chr(0b1011010 + 0o12) + chr(0b1100101))(chr(7765 - 7648) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b11110 + 0o32)) in DcUiGA8VbBwg:
pxs7lcz8_fl2 = DcUiGA8VbBwg
DcUiGA8VbBwg = DcUiGA8VbBwg.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'}'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1010111 + 0o15) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + '\070'))[nzTpIcepk0o8(chr(0b101100 + 0o4) + '\157' + '\060', 22097 - 22089)]
if roI3spqORKae(ES5oEprVxulp(b'}\xe1F'), '\144' + chr(2055 - 1954) + chr(99) + chr(0b1101111) + '\x64' + chr(0b100 + 0o141))(chr(8136 - 8019) + chr(0b11100 + 0o130) + chr(6905 - 6803) + '\055' + '\070') in pxs7lcz8_fl2:
nMuoLdOzuakD = nzTpIcepk0o8('\x30' + '\x6f' + '\x31', 20978 - 20970)
else:
nMuoLdOzuakD = None
if roI3spqORKae(ES5oEprVxulp(b'}\xfd[:\xe9'), '\144' + chr(6512 - 6411) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(5307 - 5205) + chr(1468 - 1423) + chr(0b111000)) in pxs7lcz8_fl2:
igiywTNv8KeR = nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1101111) + '\x31', 8)
else:
igiywTNv8KeR = None
if not PQK26459sb_5 or not pGmyM3ixtHf7:
_pSYqrosNb95 = BrPOYJe3pzz1[nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11110 + 0o22), 8)] + roI3spqORKae(ES5oEprVxulp(b'y\xcao\x07\xdc\xeb\x02#3\xb7\x8d\xd5\xbdbD\xa9\x8d\x84\xba\x1a\xdf\x9b|\x9f\xcb\xb2\x84\x85\xb8\x01\xb6r14xE\x9e\x11\x8b68'), '\x64' + chr(101) + chr(0b111110 + 0o45) + chr(0b10 + 0o155) + '\x64' + '\145')('\165' + chr(0b111000 + 0o74) + '\146' + chr(72 - 27) + chr(56))
with DnU3Rq9N5ala(_pSYqrosNb95) as r3idvNZpl17m:
Qi1RvNpMkhoJ = LNUKEwZDIbyb.ZERsdc7c1d8E(r3idvNZpl17m)
if not PQK26459sb_5:
PQK26459sb_5 = Qi1RvNpMkhoJ[DcUiGA8VbBwg][roI3spqORKae(ES5oEprVxulp(b'"\xd7~\x16'), '\144' + chr(0b1100101) + '\x63' + chr(0b1010000 + 0o37) + chr(0b1100100) + chr(0b1011010 + 0o13))(chr(0b1100010 + 0o23) + '\x74' + chr(0b1000101 + 0o41) + chr(0b10 + 0o53) + chr(0b1 + 0o67))]
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b"\x03\xddg\x1d\xda\xe4\x16''\xb5\x9d\xd5\xa5#@\xa1\x90\x89\x80\x12\xd6\x9ci\x83\xc8\xa8\xd7\xde\xa5\x14\xb5"), chr(1925 - 1825) + '\x65' + '\143' + '\157' + chr(0b1000000 + 0o44) + '\x65')(chr(0b100010 + 0o123) + chr(451 - 335) + chr(0b110110 + 0o60) + chr(0b1001 + 0o44) + '\x38'))
if not pGmyM3ixtHf7:
pGmyM3ixtHf7 = Qi1RvNpMkhoJ[DcUiGA8VbBwg][roI3spqORKae(ES5oEprVxulp(b'&\xcf|\x12\xd0\xb7'), chr(0b1100100) + '\x65' + chr(0b1011011 + 0o10) + chr(111) + '\x64' + '\145')(chr(0b1000011 + 0o62) + chr(0b1110100) + chr(9974 - 9872) + chr(0b101101) + chr(3082 - 3026))]
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b"\x03\xddg\x1d\xda\xe4\x16''\xb5\x9d\xd5\xa5#@\xa1\x90\x8b\x88\x1b\xce\x98o\x99"), chr(100) + '\x65' + chr(0b1100011) + chr(11712 - 11601) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(102) + chr(0b100 + 0o51) + chr(0b1110 + 0o52)))
if PQK26459sb_5 == roI3spqORKae(ES5oEprVxulp(b'%\xdef\x16\xcf\xa1'), chr(8453 - 8353) + '\145' + chr(7529 - 7430) + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(116) + chr(102) + chr(0b100111 + 0o6) + chr(2149 - 2093)):
DcUiGA8VbBwg = YURYBWjXnsMA(DcUiGA8VbBwg)
jQIWQc63TBX6 = UwYIOaMcO_kZ(nDF4gVNx0u9Q.Tn6rGr7XTM7t(DcUiGA8VbBwg), **pGmyM3ixtHf7)
FfKOThdpoDTb = jQIWQc63TBX6.fit_transform(LX04APwPl1a5)
elif PQK26459sb_5 == roI3spqORKae(ES5oEprVxulp(b'$\xcbi\x1a\xd2\xaa'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(597 - 486) + chr(0b1100100) + chr(7155 - 7054))(chr(7699 - 7582) + chr(116) + chr(0b1100110) + '\x2d' + chr(127 - 71)):
_pSYqrosNb95 = BrPOYJe3pzz1[nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + chr(732 - 684), 8)] + roI3spqORKae(ES5oEprVxulp(b'y\xcao\x07\xdc\xeb\x02#3\xb7\x8d\xd5\xbdbD\xa9\x8d\x84\xca'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(111) + chr(4074 - 3974) + chr(0b1100101))(chr(117) + chr(6927 - 6811) + chr(4223 - 4121) + '\x2d' + '\x38') + DcUiGA8VbBwg + roI3spqORKae(ES5oEprVxulp(b'x\xc0g\x1a\x93\xa3\x08'), chr(0b1100100) + '\145' + '\x63' + chr(0b1100000 + 0o17) + chr(0b1100100) + chr(101))(chr(0b101010 + 0o113) + '\x74' + chr(0b110000 + 0o66) + chr(0b101000 + 0o5) + chr(0b111000))
SiTpDn8thAb3 = tH6e9as36ufA(_pSYqrosNb95, **pGmyM3ixtHf7)
FfKOThdpoDTb = SiTpDn8thAb3.fit_transform(LX04APwPl1a5)
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x03\xc0e\x1d\xd2\xb3\x1cb1\xb5\x9a\xda\x8ewI\xb0\x87\xca\x96\x0e\xdf\x9et\x8c\xce\xa3\x93'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + chr(8741 - 8641) + chr(2911 - 2810))(chr(117) + chr(12135 - 12019) + chr(2446 - 2344) + chr(45) + '\x38'))
if nMuoLdOzuakD:
DC57UkfO7U9C = aeyuIQbVuZuV(roI3spqORKae(ES5oEprVxulp(b'%\xdbl^\xd0\xa5\n23\xbb\x8a\x94\xa5kB\xf0\xcf\xd8\x88\x13'), chr(5308 - 5208) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1000 + 0o155) + chr(0b1110100) + chr(3047 - 2945) + '\055' + '\x38'))[roI3spqORKae(ES5oEprVxulp(b';\xcf~\x00'), '\144' + '\145' + chr(3603 - 3504) + '\x6f' + '\144' + chr(0b1000010 + 0o43))(chr(2863 - 2746) + chr(0b10011 + 0o141) + chr(0b110000 + 0o66) + '\055' + '\070')]
SiTpDn8thAb3 = tH6e9as36ufA(DC57UkfO7U9C, **pGmyM3ixtHf7)
BfDGCfqlar0t = SiTpDn8thAb3.fit_transform(LX04APwPl1a5)
FfKOThdpoDTb = nDF4gVNx0u9Q.hstack([FfKOThdpoDTb, BfDGCfqlar0t])
if igiywTNv8KeR:
_pSYqrosNb95 = BrPOYJe3pzz1[nzTpIcepk0o8(chr(48) + chr(0b1000000 + 0o57) + chr(2007 - 1959), 8)] + roI3spqORKae(ES5oEprVxulp(b'y\xcao\x07\xdc\xeb\x02#3\xb7\x8d\xd5\xbdbD\xa9\x8d\x84\xca=\xdf\x8fx\x88\xc2\xaa\x9b\xdf\xb1I\x83F\r\x0cSE\xc0\x1a\x9b<{\xe3@:\x8c\xf1@\x0c\r\xbd\x86\x8b\xe13\t\xa3\xa3\x99\x9c\x13\x94\x93t\x83\x89\xa1\x8d'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b101011 + 0o104) + chr(0b1100100 + 0o0) + chr(0b1100101))('\x75' + '\x74' + chr(245 - 143) + chr(0b10100 + 0o31) + '\070')
SiTpDn8thAb3 = tH6e9as36ufA(_pSYqrosNb95, **pGmyM3ixtHf7)
hYlZo6QIa0Vf = SiTpDn8thAb3.fit_transform(LX04APwPl1a5)
FfKOThdpoDTb = nDF4gVNx0u9Q.hstack([FfKOThdpoDTb, hYlZo6QIa0Vf])
return FfKOThdpoDTb |
wiheto/teneto | teneto/utils/utils.py | create_traj_ranges | def create_traj_ranges(start, stop, N):
"""
Fills in the trajectory range.
# Adapted from https://stackoverflow.com/a/40624614
"""
steps = (1.0/(N-1)) * (stop - start)
if np.isscalar(steps):
return steps*np.arange(N) + start
else:
return steps[:, None]*np.arange(N) + start[:, None] | python | def create_traj_ranges(start, stop, N):
"""
Fills in the trajectory range.
# Adapted from https://stackoverflow.com/a/40624614
"""
steps = (1.0/(N-1)) * (stop - start)
if np.isscalar(steps):
return steps*np.arange(N) + start
else:
return steps[:, None]*np.arange(N) + start[:, None] | [
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(0b110 + 0o151) + chr(0b11001 + 0o33) + chr(0b110011 + 0o3), 0b1000), nzTpIcepk0o8('\060' + chr(6686 - 6575) + '\x32' + chr(0b1011 + 0o54) + chr(1825 - 1771), 50446 - 50438), nzTpIcepk0o8(chr(1992 - 1944) + chr(0b101101 + 0o102) + chr(0b110011) + chr(187 - 135) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(781 - 733) + '\x6f' + chr(0b110001) + '\x37' + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + '\x32' + '\x33' + chr(49), 43607 - 43599), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\066' + '\x34', 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\062' + '\x33' + chr(1344 - 1290), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110 + 0o54) + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(7417 - 7306) + '\063' + chr(0b101100 + 0o6) + '\062', 0o10), nzTpIcepk0o8('\060' + chr(8552 - 8441) + '\063' + chr(2879 - 2824) + chr(0b10100 + 0o40), 0o10), nzTpIcepk0o8(chr(50 - 2) + chr(0b101111 + 0o100) + '\x31' + '\067' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(0b1000011 + 0o54) + '\063' + '\x31' + chr(0b110111), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(493 - 443) + '\x35' + chr(0b10111 + 0o32), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(51) + chr(2050 - 1997) + chr(48), 0o10), nzTpIcepk0o8('\060' + chr(111) + '\x33' + chr(586 - 533), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2066 - 2017) + chr(0b100011 + 0o20) + chr(0b110011), 0o10), nzTpIcepk0o8('\060' + chr(0b1010010 + 0o35) + '\x33' + chr(780 - 725) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\157' + chr(0b0 + 0o62) + '\063' + chr(0b110001), 8), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(111) + '\x33' + '\062' + '\x30', 37597 - 37589), nzTpIcepk0o8('\060' + chr(111) + chr(0b101 + 0o61), 0o10), nzTpIcepk0o8('\x30' + chr(1290 - 1179) + chr(0b10000 + 0o43) + chr(0b1111 + 0o44) + '\067', 41349 - 41341), nzTpIcepk0o8('\x30' + chr(0b1001011 + 0o44) + chr(0b110011) + chr(55) + chr(356 - 302), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(184 - 132) + '\x36', 45832 - 45824), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + '\061' + chr(0b10 + 0o60), 34166 - 34158), nzTpIcepk0o8(chr(0b110000) + chr(5664 - 5553) + '\061' + chr(0b110000 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(1890 - 1842) + chr(0b1100001 + 0o16) + chr(0b10001 + 0o42) + '\061' + chr(49), 60013 - 60005), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(0b11000 + 0o33) + chr(0b110001), 8), nzTpIcepk0o8('\060' + '\157' + chr(50) + chr(53) + chr(54), 25633 - 25625), nzTpIcepk0o8(chr(894 - 846) + chr(0b1101111) + chr(49) + chr(51) + '\062', 0b1000), nzTpIcepk0o8(chr(1565 - 1517) + '\x6f' + chr(0b110 + 0o54) + chr(48) + chr(54), 0o10), nzTpIcepk0o8(chr(1253 - 1205) + '\157' + '\x33' + chr(1068 - 1014) + chr(589 - 535), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1011011 + 0o24) + '\x33' + '\x33' + chr(0b110101 + 0o2), 8), nzTpIcepk0o8('\x30' + chr(111) + chr(0b101001 + 0o12) + '\x37' + '\x34', 8), nzTpIcepk0o8(chr(0b110000) + chr(2669 - 2558) + chr(1519 - 1470) + chr(52), 8), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\x6f' + chr(0b100 + 0o57) + chr(1345 - 1294) + '\x35', 0o10), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + chr(0b11011 + 0o26) + '\064', 63035 - 63027), nzTpIcepk0o8(chr(1801 - 1753) + chr(0b101001 + 0o106) + '\x31' + chr(1800 - 1746) + '\x30', 52475 - 52467), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b1111 + 0o44) + '\x37', 0b1000), nzTpIcepk0o8('\060' + chr(0b101011 + 0o104) + chr(92 - 42) + chr(0b1010 + 0o52) + chr(0b110011), 53246 - 53238), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(1861 - 1811) + chr(0b110000), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b101 + 0o53) + '\157' + '\065' + chr(224 - 176), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x08'), '\x64' + '\x65' + '\x63' + '\157' + chr(0b1100100) + '\145')('\x75' + '\164' + chr(4982 - 4880) + '\055' + chr(2100 - 2044)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Ht2eCYENDufA(KQbHFTcl_LKy, dYJbBiYO_nGE, UtB2m8Xmgf5k):
wDOFglvkLFk0 = 1.0 / (UtB2m8Xmgf5k - nzTpIcepk0o8('\060' + chr(5529 - 5418) + chr(0b101010 + 0o7), ord("\x08"))) * (dYJbBiYO_nGE - KQbHFTcl_LKy)
if roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'O\xcd\x91\x1c\xf8\x98\xff\xe6'), chr(0b110000 + 0o64) + '\145' + chr(99) + chr(0b1101111) + chr(5258 - 5158) + chr(4924 - 4823))(chr(0b1110101) + chr(0b1110100) + chr(1712 - 1610) + chr(0b11 + 0o52) + '\070'))(wDOFglvkLFk0):
return wDOFglvkLFk0 * roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'E\xd6\x8f6\xc6\xb3\xd3\xc1\x8d\x8f<\xa6'), chr(1965 - 1865) + chr(0b11 + 0o142) + chr(0b1100011) + chr(0b111000 + 0o67) + chr(100) + '\145')(chr(3395 - 3278) + chr(0b10101 + 0o137) + '\146' + chr(1798 - 1753) + '\x38'))(UtB2m8Xmgf5k) + KQbHFTcl_LKy
else:
return wDOFglvkLFk0[:, None] * roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'E\xd6\x8f6\xc6\xb3\xd3\xc1\x8d\x8f<\xa6'), chr(0b1100100) + chr(1392 - 1291) + chr(0b1100011) + chr(4364 - 4253) + '\144' + chr(101))(chr(10347 - 10230) + chr(116) + chr(102) + chr(45) + chr(0b1110 + 0o52)))(UtB2m8Xmgf5k) + KQbHFTcl_LKy[:, None] |
wiheto/teneto | teneto/utils/utils.py | get_dimord | def get_dimord(measure, calc=None, community=None):
"""
Get the dimension order of a network measure.
Parameters
----------
measure : str
Name of funciton in teneto.networkmeasures.
calc : str, default=None
Calc parameter for the function
community : bool, default=None
If not null, then community property is assumed to be believed.
Returns
-------
dimord : str
Dimension order. So "node,node,time" would define the dimensions of the network measure.
"""
if not calc:
calc = ''
else:
calc = '_' + calc
if not community:
community = ''
else:
community = 'community'
if 'community' in calc and 'community' in community:
community = ''
if calc == 'community_avg' or calc == 'community_pairs':
community = ''
dimord_dict = {
'temporal_closeness_centrality': 'node',
'temporal_degree_centrality': 'node',
'temporal_degree_centralit_avg': 'node',
'temporal_degree_centrality_time': 'node,time',
'temporal_efficiency': 'global',
'temporal_efficiency_global': 'global',
'temporal_efficiency_node': 'node',
'temporal_efficiency_to': 'node',
'sid_global': 'global,time',
'community_pairs': 'community,community,time',
'community_avg': 'community,time',
'sid': 'community,community,time',
'reachability_latency_global': 'global',
'reachability_latency': 'global',
'reachability_latency_node': 'node',
'fluctuability': 'node',
'fluctuability_global': 'global',
'bursty_coeff': 'edge,edge',
'bursty_coeff_edge': 'edge,edge',
'bursty_coeff_node': 'node',
'bursty_coeff_meanEdgePerNode': 'node',
'volatility_global': 'time',
}
if measure + calc + community in dimord_dict:
return dimord_dict[measure + calc + community]
else:
print('WARNINGL: get_dimord() returned unknown dimension labels')
return 'unknown' | python | def get_dimord(measure, calc=None, community=None):
"""
Get the dimension order of a network measure.
Parameters
----------
measure : str
Name of funciton in teneto.networkmeasures.
calc : str, default=None
Calc parameter for the function
community : bool, default=None
If not null, then community property is assumed to be believed.
Returns
-------
dimord : str
Dimension order. So "node,node,time" would define the dimensions of the network measure.
"""
if not calc:
calc = ''
else:
calc = '_' + calc
if not community:
community = ''
else:
community = 'community'
if 'community' in calc and 'community' in community:
community = ''
if calc == 'community_avg' or calc == 'community_pairs':
community = ''
dimord_dict = {
'temporal_closeness_centrality': 'node',
'temporal_degree_centrality': 'node',
'temporal_degree_centralit_avg': 'node',
'temporal_degree_centrality_time': 'node,time',
'temporal_efficiency': 'global',
'temporal_efficiency_global': 'global',
'temporal_efficiency_node': 'node',
'temporal_efficiency_to': 'node',
'sid_global': 'global,time',
'community_pairs': 'community,community,time',
'community_avg': 'community,time',
'sid': 'community,community,time',
'reachability_latency_global': 'global',
'reachability_latency': 'global',
'reachability_latency_node': 'node',
'fluctuability': 'node',
'fluctuability_global': 'global',
'bursty_coeff': 'edge,edge',
'bursty_coeff_edge': 'edge,edge',
'bursty_coeff_node': 'node',
'bursty_coeff_meanEdgePerNode': 'node',
'volatility_global': 'time',
}
if measure + calc + community in dimord_dict:
return dimord_dict[measure + calc + community]
else:
print('WARNINGL: get_dimord() returned unknown dimension labels')
return 'unknown' | [
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measure : str
Name of funciton in teneto.networkmeasures.
calc : str, default=None
Calc parameter for the function
community : bool, default=None
If not null, then community property is assumed to be believed.
Returns
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dimord : str
Dimension order. So "node,node,time" would define the dimensions of the network measure. | [
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"measure",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L906-L969 | train | Returns the dimension order of a network measure. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(3432 - 3321) + chr(0b110001) + '\060' + chr(658 - 603), ord("\x08")), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b101010 + 0o105) + chr(1323 - 1272) + chr(54), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b110011) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(11716 - 11605) + '\061' + chr(772 - 717) + chr(0b110111), 55446 - 55438), nzTpIcepk0o8(chr(299 - 251) + chr(0b1101111) + '\062' + '\065', 0o10), nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(0b111111 + 0o60) + chr(51) + '\060' + chr(2668 - 2614), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + chr(0b110101) + '\066', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + '\064' + chr(67 - 13), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(1792 - 1743) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b1101 + 0o142) + chr(50) + chr(0b110001) + chr(0b110110), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010) + chr(426 - 376) + '\065', ord("\x08")), nzTpIcepk0o8(chr(458 - 410) + '\157' + chr(0b1110 + 0o45) + chr(0b110001) + '\x31', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b10010 + 0o37), 25031 - 25023), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + '\x35' + chr(0b111 + 0o54), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(1250 - 1201) + chr(0b10111 + 0o33), 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\157' + '\061' + chr(0b110011 + 0o4) + '\067', 8), nzTpIcepk0o8(chr(1279 - 1231) + '\x6f' + '\063' + chr(0b101010 + 0o11) + chr(754 - 704), 18614 - 18606), nzTpIcepk0o8(chr(48) + chr(7081 - 6970) + '\067' + '\065', ord("\x08")), nzTpIcepk0o8(chr(1130 - 1082) + chr(0b1101011 + 0o4) + '\x32' + chr(0b101100 + 0o5) + '\063', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\x37', 0o10), nzTpIcepk0o8(chr(2047 - 1999) + '\157' + chr(0b110010) + '\x30' + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1001000 + 0o47) + '\x37', 0o10), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(2018 - 1965) + chr(0b1111 + 0o42), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1100000 + 0o17) + '\062' + chr(53) + chr(0b101000 + 0o11), 0b1000), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\x6f' + chr(0b1010 + 0o50) + '\x35' + '\x37', 22199 - 22191), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(0b110101) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b100101 + 0o112) + chr(49) + chr(51) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + '\x30' + chr(0b100001 + 0o20), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(6941 - 6830) + '\062' + chr(0b101110 + 0o6) + chr(0b110111), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\063' + chr(53) + '\065', 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\x6f' + chr(0b1 + 0o62) + '\063' + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b110001) + '\x37' + '\x31', 60810 - 60802), nzTpIcepk0o8(chr(1478 - 1430) + chr(2076 - 1965) + chr(0b100 + 0o55) + '\062', 8), nzTpIcepk0o8(chr(2136 - 2088) + chr(180 - 69) + '\x31' + chr(0b11111 + 0o22), 24464 - 24456), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2265 - 2214) + chr(50) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b10010 + 0o135) + '\x32' + chr(0b101001 + 0o16) + chr(53), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1591 - 1539), 0o10), nzTpIcepk0o8(chr(2129 - 2081) + chr(0b1101001 + 0o6) + chr(0b11100 + 0o26) + '\x33' + chr(0b10010 + 0o45), 0o10), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1101111) + chr(51) + chr(1695 - 1644) + '\x37', 8), nzTpIcepk0o8(chr(2095 - 2047) + '\x6f' + '\x33' + chr(50) + chr(0b110110), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b100101 + 0o112) + '\065' + chr(0b101011 + 0o5), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'i'), chr(100) + chr(101) + chr(0b1100011) + '\157' + '\144' + chr(7056 - 6955))(chr(13080 - 12963) + chr(0b111 + 0o155) + chr(102) + chr(45) + chr(2279 - 2223)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def SmtcwZCSea6K(eD5Jw5KZkmIm, hLs7grTEJvDJ=None, q0rd0jwx6ykB=None):
if not hLs7grTEJvDJ:
hLs7grTEJvDJ = roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(101) + chr(7572 - 7473) + '\157' + '\x64' + chr(0b11010 + 0o113))(chr(117) + chr(1616 - 1500) + chr(0b1011110 + 0o10) + '\x2d' + '\x38')
else:
hLs7grTEJvDJ = roI3spqORKae(ES5oEprVxulp(b'\x18'), chr(100) + chr(0b101100 + 0o71) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1101100 + 0o10) + chr(0b111110 + 0o50) + chr(45) + chr(1325 - 1269)) + hLs7grTEJvDJ
if not q0rd0jwx6ykB:
q0rd0jwx6ykB = roI3spqORKae(ES5oEprVxulp(b''), chr(9759 - 9659) + chr(0b1100101) + chr(3047 - 2948) + '\157' + chr(100) + chr(0b1100101))(chr(0b101100 + 0o111) + chr(0b100 + 0o160) + '\146' + chr(0b1101 + 0o40) + '\070')
else:
q0rd0jwx6ykB = roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt'), chr(100) + '\145' + chr(0b1100011) + chr(2956 - 2845) + chr(1354 - 1254) + '\145')(chr(0b1100011 + 0o22) + '\x74' + '\x66' + '\x2d' + '\x38')
if roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt'), '\144' + '\145' + chr(99) + chr(0b1011100 + 0o23) + '\144' + chr(4110 - 4009))(chr(0b1101011 + 0o12) + chr(116) + chr(102) + '\055' + '\x38') in hLs7grTEJvDJ and roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt'), chr(0b1000100 + 0o40) + '\x65' + chr(8877 - 8778) + '\x6f' + chr(3590 - 3490) + chr(101))('\x75' + chr(9633 - 9517) + chr(0b11111 + 0o107) + chr(45) + chr(2512 - 2456)) in q0rd0jwx6ykB:
q0rd0jwx6ykB = roI3spqORKae(ES5oEprVxulp(b''), chr(100) + '\x65' + '\x63' + chr(111) + chr(100) + chr(4623 - 4522))(chr(0b110011 + 0o102) + chr(0b1011 + 0o151) + chr(0b1100110) + chr(726 - 681) + '\x38')
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xd1\xf4\xbff'), chr(100) + chr(0b1001011 + 0o32) + '\143' + '\157' + chr(1814 - 1714) + chr(101))(chr(0b1001011 + 0o52) + '\164' + '\146' + '\x2d' + '\070') or hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xd1\xe5\xa8h\xd9y'), chr(6788 - 6688) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\165' + chr(2501 - 2385) + chr(9506 - 9404) + chr(0b100001 + 0o14) + chr(0b111000)):
q0rd0jwx6ykB = roI3spqORKae(ES5oEprVxulp(b''), '\x64' + chr(101) + chr(0b1100011) + chr(4721 - 4610) + chr(100) + '\x65')(chr(5041 - 4924) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(56))
f0dZnnCsK9Ki = {roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xed\xf9\xa6r\xced\x1a\xa9N\xd4t\xe5i\x9d\xdb\xce\x0205\xde'), chr(8207 - 8107) + '\145' + chr(99) + chr(0b1011110 + 0o21) + chr(0b1100001 + 0o3) + '\145')(chr(0b1010101 + 0o40) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(0b1100100) + '\x65' + chr(8958 - 8859) + chr(6812 - 6701) + chr(0b110000 + 0o64) + '\x65')(chr(890 - 773) + chr(6762 - 6646) + chr(6927 - 6825) + chr(0b11110 + 0o17) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xea\xf0\xaes\xceo \xb9X\xe5c\xf2f\x85\xc0\xdb\x17'), '\x64' + '\x65' + '\143' + chr(0b1101111) + chr(8840 - 8740) + '\x65')('\x75' + '\164' + chr(0b110 + 0o140) + chr(0b101101) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(378 - 278) + chr(0b1100101) + chr(0b1100011) + chr(11373 - 11262) + '\144' + chr(0b1100101))(chr(5401 - 5284) + chr(0b1110100) + chr(6380 - 6278) + chr(45) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xea\xf0\xaes\xceo \xb9X\xe5c\xf2f\x85\xc0\xdb187\xc0'), chr(0b110101 + 0o57) + '\145' + '\143' + '\157' + chr(8834 - 8734) + chr(0b100000 + 0o105))(chr(0b110110 + 0o77) + '\164' + chr(2242 - 2140) + chr(45) + '\x38'): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(0b1100100) + chr(0b111110 + 0o47) + '\x63' + chr(111) + '\144' + chr(0b10100 + 0o121))('\165' + chr(0b1011000 + 0o34) + chr(0b1100110) + chr(1655 - 1610) + chr(0b1000 + 0o60)), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xea\xf0\xaes\xceo \xb9X\xe5c\xf2f\x85\xc0\xdb\x17\x065\xce\x80\xba'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + '\145')(chr(0b0 + 0o165) + '\x74' + '\146' + chr(0b100001 + 0o14) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a9\xb2\xc7Kh'), '\x64' + chr(0b1001010 + 0o33) + chr(1776 - 1677) + chr(1566 - 1455) + chr(799 - 699) + chr(0b1011010 + 0o13))(chr(0b1110101) + chr(7921 - 7805) + chr(102) + chr(0b101101) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xeb\xf3\xafh\xc8c\x1a\xb4^\xf2'), '\144' + '\145' + chr(0b111100 + 0o47) + chr(0b111 + 0o150) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(9300 - 9198) + chr(0b101000 + 0o5) + chr(56)): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(2742 - 2626) + chr(9827 - 9725) + chr(0b1110 + 0o37) + chr(0b10101 + 0o43)), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xeb\xf3\xafh\xc8c\x1a\xb4^\xf2H\xe7k\x86\xcb\xce\x02'), chr(0b1100100) + chr(0b110111 + 0o56) + '\143' + chr(0b1000110 + 0o51) + chr(0b1100100) + chr(0b10011 + 0o122))(chr(2492 - 2375) + '\164' + chr(6716 - 6614) + '\x2d' + chr(0b110 + 0o62)): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa'), chr(0b1100100) + '\145' + chr(0b1001 + 0o132) + chr(9167 - 9056) + chr(100) + '\145')(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + '\070'), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xeb\xf3\xafh\xc8c\x1a\xb4^\xf2H\xeeh\x8d\xcc'), chr(100) + chr(0b1010011 + 0o22) + chr(412 - 313) + chr(1921 - 1810) + chr(100) + '\x65')('\x75' + chr(3267 - 3151) + chr(0b1100110) + chr(45) + '\070'): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(5381 - 5281) + chr(0b1001011 + 0o32) + chr(99) + chr(111) + chr(0b1100100) + chr(3572 - 3471))(chr(0b1110101) + chr(0b1001 + 0o153) + '\146' + chr(45) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'3{\xf4\x0fz\xb4\xcfJR\xeb\xf3\xafh\xc8c\x1a\xb4^\xf2H\xf4h'), chr(6242 - 6142) + '\x65' + chr(0b1 + 0o142) + chr(7747 - 7636) + chr(4001 - 3901) + '\x65')('\165' + chr(0b11001 + 0o133) + '\146' + '\055' + chr(1666 - 1610)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(9960 - 9849) + '\x64' + chr(0b1011010 + 0o13))(chr(117) + chr(0b1110100) + chr(9003 - 8901) + '\x2d' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'4w\xfd r\xaa\xc1Dl\xe2'), '\144' + chr(7352 - 7251) + chr(0b1100011) + chr(0b1000011 + 0o54) + chr(1150 - 1050) + '\x65')(chr(117) + chr(11628 - 11512) + chr(0b100111 + 0o77) + chr(45) + chr(546 - 490)): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa\x82Rd\xe3\xf0'), '\144' + '\145' + '\143' + '\x6f' + chr(0b100001 + 0o103) + '\x65')('\x75' + chr(0b110100 + 0o100) + chr(102) + '\055' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xd1\xe5\xa8h\xd9y'), chr(3616 - 3516) + '\145' + chr(99) + chr(0b1101111) + chr(100) + '\x65')(chr(117) + chr(116) + chr(102) + '\x2d' + chr(2112 - 2056)): roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xa2\xf6\xa6l\xc6\x7f\x11\xb3I\xf2;\xf4n\x84\xcc'), chr(0b1100100) + chr(101) + '\x63' + chr(0b11100 + 0o123) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + '\x38'), roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xd1\xf4\xbff'), chr(7125 - 7025) + chr(0b1000 + 0o135) + '\x63' + chr(6999 - 6888) + chr(0b1100100) + '\145')(chr(0b111011 + 0o72) + '\x74' + '\x66' + chr(0b100100 + 0o11) + '\x38'): roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xa2\xe1\xa0l\xce'), '\x64' + chr(101) + chr(0b1001 + 0o132) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(6299 - 6182) + chr(0b1110100) + chr(3485 - 3383) + chr(45) + '\070'), roI3spqORKae(ES5oEprVxulp(b'4w\xfd'), '\x64' + chr(0b1100101) + chr(8213 - 8114) + chr(0b1101111) + '\x64' + chr(5759 - 5658))(chr(0b1111 + 0o146) + chr(116) + chr(5281 - 5179) + chr(0b100100 + 0o11) + chr(56)): roI3spqORKae(ES5oEprVxulp(b'$q\xf4\x12`\xa8\xc7Rt\xa2\xf6\xa6l\xc6\x7f\x11\xb3I\xf2;\xf4n\x84\xcc'), chr(0b1100100) + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b10 + 0o66)), roI3spqORKae(ES5oEprVxulp(b'5{\xf8\x1c}\xa7\xccOa\xe7\xe1\xb0^\xc7k\x0b\xbfS\xe8n\xdf`\x85\xc6\xcd\x0f5'), chr(0b101111 + 0o65) + chr(0b0 + 0o145) + chr(0b110001 + 0o62) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + '\070'): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa'), '\x64' + '\145' + '\x63' + chr(111) + chr(5430 - 5330) + chr(0b1100101))('\165' + '\x74' + '\146' + chr(0b101101) + chr(2182 - 2126)), roI3spqORKae(ES5oEprVxulp(b'5{\xf8\x1c}\xa7\xccOa\xe7\xe1\xb0^\xc7k\x0b\xbfS\xe8n'), chr(2285 - 2185) + chr(7893 - 7792) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(1488 - 1388) + '\145')(chr(117) + chr(0b10000 + 0o144) + chr(2785 - 2683) + chr(0b101101) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa'), '\x64' + chr(6490 - 6389) + chr(99) + chr(3321 - 3210) + chr(8523 - 8423) + '\145')(chr(0b100010 + 0o123) + chr(0b1001101 + 0o47) + '\x66' + '\055' + chr(1492 - 1436)), roI3spqORKae(ES5oEprVxulp(b'5{\xf8\x1c}\xa7\xccOa\xe7\xe1\xb0^\xc7k\x0b\xbfS\xe8n\xdfi\x86\xcd\xca'), chr(4238 - 4138) + chr(0b1001110 + 0o27) + '\143' + chr(0b101000 + 0o107) + chr(2834 - 2734) + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), chr(0b1000011 + 0o41) + chr(101) + '\143' + chr(5111 - 5000) + '\x64' + chr(6973 - 6872))(chr(0b1000101 + 0o60) + chr(0b101 + 0o157) + chr(0b1010100 + 0o22) + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'!r\xec\x1ca\xb3\xcfDd\xe2\xfc\xbdx'), '\x64' + '\x65' + chr(99) + '\157' + chr(0b1011000 + 0o14) + chr(0b1100101))(chr(10478 - 10361) + chr(116) + chr(7750 - 7648) + chr(45) + chr(1276 - 1220)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), '\x64' + '\145' + chr(99) + chr(0b1101111) + '\144' + '\x65')('\165' + chr(0b1010110 + 0o36) + '\x66' + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'!r\xec\x1ca\xb3\xcfDd\xe2\xfc\xbdx\xf4m\x13\xb5_\xea{'), '\x64' + chr(0b11000 + 0o115) + '\143' + chr(921 - 810) + chr(100) + chr(0b1100101))(chr(0b1101001 + 0o14) + chr(9119 - 9003) + '\x66' + '\x2d' + chr(1346 - 1290)): roI3spqORKae(ES5oEprVxulp(b' r\xf6\x1dt\xaa'), chr(0b11111 + 0o105) + chr(0b1100101) + chr(0b1100011) + chr(7806 - 7695) + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(0b1000101 + 0o41) + chr(591 - 546) + chr(0b11010 + 0o36)), roI3spqORKae(ES5oEprVxulp(b'%k\xeb\x0ca\xbf\xf1Eb\xeb\xf3\xaf'), '\x64' + chr(0b1011 + 0o132) + '\x63' + chr(10617 - 10506) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'): roI3spqORKae(ES5oEprVxulp(b'"z\xfe\x1a9\xa3\xcaAh'), chr(5496 - 5396) + '\145' + chr(5919 - 5820) + '\157' + chr(0b1100100) + chr(101))(chr(537 - 420) + chr(116) + chr(0b1100110) + chr(45) + '\070'), roI3spqORKae(ES5oEprVxulp(b'%k\xeb\x0ca\xbf\xf1Eb\xeb\xf3\xaf^\xcen\x18\xbf'), chr(100) + chr(0b100001 + 0o104) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101 + 0o0) + '\x74' + chr(0b111011 + 0o53) + chr(0b10011 + 0o32) + '\x38'): roI3spqORKae(ES5oEprVxulp(b'"z\xfe\x1a9\xa3\xcaAh'), '\x64' + chr(3381 - 3280) + chr(6717 - 6618) + '\157' + chr(1356 - 1256) + chr(0b1100101))('\165' + chr(12080 - 11964) + chr(0b1100110) + chr(0b101101) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'%k\xeb\x0ca\xbf\xf1Eb\xeb\xf3\xaf^\xc5e\x1b\xbf'), '\x64' + '\145' + chr(2140 - 2041) + chr(111) + chr(0b1100100) + '\145')('\165' + '\164' + '\146' + chr(0b1111 + 0o36) + '\x38'): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), '\144' + '\145' + chr(8603 - 8504) + '\x6f' + chr(0b111 + 0o135) + '\x65')(chr(0b1110101) + '\164' + chr(0b10100 + 0o122) + chr(0b101101) + chr(0b101010 + 0o16)), roI3spqORKae(ES5oEprVxulp(b'%k\xeb\x0ca\xbf\xf1Eb\xeb\xf3\xaf^\xc6o\x1e\xb4x\xefp\xe5W\x8c\xdb\xe1\x01=$'), chr(0b1100100) + chr(0b1100101) + chr(3475 - 3376) + chr(0b1101111) + chr(0b100111 + 0o75) + chr(101))(chr(0b1110101) + chr(5120 - 5004) + chr(102) + chr(0b11100 + 0o21) + chr(0b111000)): roI3spqORKae(ES5oEprVxulp(b')q\xfd\x1a'), '\x64' + chr(0b1100101) + chr(0b1101 + 0o126) + chr(1255 - 1144) + '\144' + chr(101))(chr(2714 - 2597) + chr(0b1001111 + 0o45) + '\146' + chr(45) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'1q\xf5\x1ea\xaf\xc2Oy\xf7\xca\xaem\xc4h\x1e\xb6'), chr(0b1100011 + 0o1) + chr(0b1010101 + 0o20) + chr(99) + chr(0b1010001 + 0o36) + chr(0b1100100) + chr(0b11100 + 0o111))(chr(0b1000001 + 0o64) + chr(0b1000000 + 0o64) + '\x66' + chr(0b101101) + chr(893 - 837)): roI3spqORKae(ES5oEprVxulp(b'3w\xf4\x1a'), '\144' + chr(0b10001 + 0o124) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(0b1110 + 0o52))}
if eD5Jw5KZkmIm + hLs7grTEJvDJ + q0rd0jwx6ykB in f0dZnnCsK9Ki:
return f0dZnnCsK9Ki[eD5Jw5KZkmIm + hLs7grTEJvDJ + q0rd0jwx6ykB]
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\x10_\xcb1\\\x88\xe9j7\xae\xf2\xacu\xf4n\x16\xb7R\xf9s\xa8.\xc9\xdb\xca\x1a,3\xc9\x88\xbbY\x7fg\xb8\xd3k\xe8\xb1\xf6#w\xf4\x1a{\xb5\xc7Ic\xae\xf9\xa8c\xcef\x0c'), '\x64' + chr(0b1100101) + chr(0b101000 + 0o73) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + chr(3735 - 3633) + chr(45) + chr(2843 - 2787)))
return roI3spqORKae(ES5oEprVxulp(b'2p\xf2\x11z\xb1\xc0'), chr(2646 - 2546) + chr(3227 - 3126) + '\x63' + '\x6f' + chr(9717 - 9617) + chr(5796 - 5695))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(45) + '\x38') |
wiheto/teneto | teneto/utils/utils.py | get_network_when | def get_network_when(tnet, i=None, j=None, t=None, ij=None, logic='and', copy=False, asarray=False):
"""
Returns subset of dataframe that matches index
Parameters
----------
tnet : df or TemporalNetwork
TemporalNetwork object or pandas dataframe edgelist
i : list or int
get nodes in column i (source nodes in directed networks)
j : list or int
get nodes in column j (target nodes in directed networks)
t : list or int
get edges at this time-points.
ij : list or int
get nodes for column i or j (logic and can still persist for t). Cannot be specified along with i or j
logic : str
options: \'and\' or \'or\'. If \'and\', functions returns rows that corrspond that match all i,j,t arguments. If \'or\', only has to match one of them
copy : bool
default False. If True, returns a copy of the dataframe. Note relevant if hd5 data.
asarray : bool
default False. If True, returns the list of edges as an array.
Returns
-------
df : pandas dataframe
Unless asarray are set to true.
"""
if isinstance(tnet, pd.DataFrame):
network = tnet
hdf5 = False
# Can add hdfstore
elif isinstance(tnet, object):
network = tnet.network
hdf5 = tnet.hdf5
if ij is not None and (i is not None or j is not None):
raise ValueError('ij cannoed be specifed along with i or j')
# Make non list inputs a list
if i is not None and not isinstance(i, list):
i = [i]
if j is not None and not isinstance(j, list):
j = [j]
if t is not None and not isinstance(t, list):
t = [t]
if ij is not None and not isinstance(ij, list):
ij = [ij]
if hdf5:
if i is not None and j is not None and t is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 'j in ' + \
str(j) + ' & ' + 't in ' + str(t)
elif ij is not None and t is not None and logic == 'and':
isinstr = '(i in ' + str(ij) + ' | ' + 'j in ' + \
str(ij) + ') & ' + 't in ' + str(t)
elif ij is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(ij) + ' | ' + 'j in ' + \
str(ij) + ' | ' + 't in ' + str(t)
elif i is not None and j is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 'j in ' + str(j)
elif i is not None and t is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 't in ' + str(t)
elif j is not None and t is not None and logic == 'and':
isinstr = 'j in ' + str(j) + ' & ' + 't in ' + str(t)
elif i is not None and j is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 'j in ' + \
str(j) + ' | ' + 't in ' + str(t)
elif i is not None and j is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 'j in ' + str(j)
elif i is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 't in ' + str(t)
elif j is not None and t is not None and logic == 'or':
isinstr = 'j in ' + str(j) + ' | ' + 't in ' + str(t)
elif i is not None:
isinstr = 'i in ' + str(i)
elif j is not None:
isinstr = 'j in ' + str(j)
elif t is not None:
isinstr = 't in ' + str(t)
elif ij is not None:
isinstr = 'i in ' + str(ij) + ' | ' + 'j in ' + str(ij)
df = pd.read_hdf(network, where=isinstr)
else:
if i is not None and j is not None and t is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (
network['j'].isin(j)) & (network['t'].isin(t))]
elif ij is not None and t is not None and logic == 'and':
df = network[((network['i'].isin(ij)) | (
network['j'].isin(ij))) & (network['t'].isin(t))]
elif ij is not None and t is not None and logic == 'or':
df = network[((network['i'].isin(ij)) | (
network['j'].isin(ij))) | (network['t'].isin(t))]
elif i is not None and j is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (network['j'].isin(j))]
elif i is not None and t is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (network['t'].isin(t))]
elif j is not None and t is not None and logic == 'and':
df = network[(network['j'].isin(j)) & (network['t'].isin(t))]
elif i is not None and j is not None and t is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (
network['j'].isin(j)) | (network['t'].isin(t))]
elif i is not None and j is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (network['j'].isin(j))]
elif i is not None and t is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (network['t'].isin(t))]
elif j is not None and t is not None and logic == 'or':
df = network[(network['j'].isin(j)) | (network['t'].isin(t))]
elif i is not None:
df = network[network['i'].isin(i)]
elif j is not None:
df = network[network['j'].isin(j)]
elif t is not None:
df = network[network['t'].isin(t)]
elif ij is not None:
df = network[(network['i'].isin(ij)) | (network['j'].isin(ij))]
if copy:
df = df.copy()
if asarray:
df = df.values
return df | python | def get_network_when(tnet, i=None, j=None, t=None, ij=None, logic='and', copy=False, asarray=False):
"""
Returns subset of dataframe that matches index
Parameters
----------
tnet : df or TemporalNetwork
TemporalNetwork object or pandas dataframe edgelist
i : list or int
get nodes in column i (source nodes in directed networks)
j : list or int
get nodes in column j (target nodes in directed networks)
t : list or int
get edges at this time-points.
ij : list or int
get nodes for column i or j (logic and can still persist for t). Cannot be specified along with i or j
logic : str
options: \'and\' or \'or\'. If \'and\', functions returns rows that corrspond that match all i,j,t arguments. If \'or\', only has to match one of them
copy : bool
default False. If True, returns a copy of the dataframe. Note relevant if hd5 data.
asarray : bool
default False. If True, returns the list of edges as an array.
Returns
-------
df : pandas dataframe
Unless asarray are set to true.
"""
if isinstance(tnet, pd.DataFrame):
network = tnet
hdf5 = False
# Can add hdfstore
elif isinstance(tnet, object):
network = tnet.network
hdf5 = tnet.hdf5
if ij is not None and (i is not None or j is not None):
raise ValueError('ij cannoed be specifed along with i or j')
# Make non list inputs a list
if i is not None and not isinstance(i, list):
i = [i]
if j is not None and not isinstance(j, list):
j = [j]
if t is not None and not isinstance(t, list):
t = [t]
if ij is not None and not isinstance(ij, list):
ij = [ij]
if hdf5:
if i is not None and j is not None and t is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 'j in ' + \
str(j) + ' & ' + 't in ' + str(t)
elif ij is not None and t is not None and logic == 'and':
isinstr = '(i in ' + str(ij) + ' | ' + 'j in ' + \
str(ij) + ') & ' + 't in ' + str(t)
elif ij is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(ij) + ' | ' + 'j in ' + \
str(ij) + ' | ' + 't in ' + str(t)
elif i is not None and j is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 'j in ' + str(j)
elif i is not None and t is not None and logic == 'and':
isinstr = 'i in ' + str(i) + ' & ' + 't in ' + str(t)
elif j is not None and t is not None and logic == 'and':
isinstr = 'j in ' + str(j) + ' & ' + 't in ' + str(t)
elif i is not None and j is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 'j in ' + \
str(j) + ' | ' + 't in ' + str(t)
elif i is not None and j is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 'j in ' + str(j)
elif i is not None and t is not None and logic == 'or':
isinstr = 'i in ' + str(i) + ' | ' + 't in ' + str(t)
elif j is not None and t is not None and logic == 'or':
isinstr = 'j in ' + str(j) + ' | ' + 't in ' + str(t)
elif i is not None:
isinstr = 'i in ' + str(i)
elif j is not None:
isinstr = 'j in ' + str(j)
elif t is not None:
isinstr = 't in ' + str(t)
elif ij is not None:
isinstr = 'i in ' + str(ij) + ' | ' + 'j in ' + str(ij)
df = pd.read_hdf(network, where=isinstr)
else:
if i is not None and j is not None and t is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (
network['j'].isin(j)) & (network['t'].isin(t))]
elif ij is not None and t is not None and logic == 'and':
df = network[((network['i'].isin(ij)) | (
network['j'].isin(ij))) & (network['t'].isin(t))]
elif ij is not None and t is not None and logic == 'or':
df = network[((network['i'].isin(ij)) | (
network['j'].isin(ij))) | (network['t'].isin(t))]
elif i is not None and j is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (network['j'].isin(j))]
elif i is not None and t is not None and logic == 'and':
df = network[(network['i'].isin(i)) & (network['t'].isin(t))]
elif j is not None and t is not None and logic == 'and':
df = network[(network['j'].isin(j)) & (network['t'].isin(t))]
elif i is not None and j is not None and t is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (
network['j'].isin(j)) | (network['t'].isin(t))]
elif i is not None and j is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (network['j'].isin(j))]
elif i is not None and t is not None and logic == 'or':
df = network[(network['i'].isin(i)) | (network['t'].isin(t))]
elif j is not None and t is not None and logic == 'or':
df = network[(network['j'].isin(j)) | (network['t'].isin(t))]
elif i is not None:
df = network[network['i'].isin(i)]
elif j is not None:
df = network[network['j'].isin(j)]
elif t is not None:
df = network[network['t'].isin(t)]
elif ij is not None:
df = network[(network['i'].isin(ij)) | (network['j'].isin(ij))]
if copy:
df = df.copy()
if asarray:
df = df.values
return df | [
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"isinstance"... | Returns subset of dataframe that matches index
Parameters
----------
tnet : df or TemporalNetwork
TemporalNetwork object or pandas dataframe edgelist
i : list or int
get nodes in column i (source nodes in directed networks)
j : list or int
get nodes in column j (target nodes in directed networks)
t : list or int
get edges at this time-points.
ij : list or int
get nodes for column i or j (logic and can still persist for t). Cannot be specified along with i or j
logic : str
options: \'and\' or \'or\'. If \'and\', functions returns rows that corrspond that match all i,j,t arguments. If \'or\', only has to match one of them
copy : bool
default False. If True, returns a copy of the dataframe. Note relevant if hd5 data.
asarray : bool
default False. If True, returns the list of edges as an array.
Returns
-------
df : pandas dataframe
Unless asarray are set to true. | [
"Returns",
"subset",
"of",
"dataframe",
"that",
"matches",
"index"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L972-L1089 | train | Returns a subset of dataframe that matches index i j t and ij. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\x6f' + chr(0b110110 + 0o0) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(1388 - 1340) + chr(0b1101111) + '\x32' + chr(0b110100) + chr(1705 - 1655), ord("\x08")), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(9769 - 9658) + chr(55) + '\067', 2773 - 2765), nzTpIcepk0o8('\060' + chr(0b1101100 + 0o3) + '\062' + '\x31' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110111) + '\x35', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(1764 - 1653) + chr(0b11011 + 0o34) + chr(0b1001 + 0o55), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1011011 + 0o24) + chr(2026 - 1975) + '\062' + chr(48), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1000 + 0o147) + chr(493 - 442) + chr(0b100111 + 0o12) + chr(624 - 574), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11001 + 0o33), 0o10), nzTpIcepk0o8(chr(1593 - 1545) + chr(1124 - 1013) + chr(308 - 258) + chr(0b10000 + 0o46), 2773 - 2765), nzTpIcepk0o8('\060' + chr(5357 - 5246) + chr(55) + '\x36', 8), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(841 - 791) + chr(774 - 720), 8), nzTpIcepk0o8('\060' + '\157' + chr(861 - 810) + chr(2278 - 2225) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(1898 - 1850) + chr(111) + chr(0b100001 + 0o22) + chr(0b10101 + 0o33) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1010011 + 0o34) + chr(0b101011 + 0o7) + chr(49) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(1707 - 1659) + chr(111) + chr(49) + chr(1207 - 1159) + '\x36', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1729 - 1679) + '\x32' + '\x37', 18017 - 18009), nzTpIcepk0o8(chr(1421 - 1373) + chr(4004 - 3893) + chr(0b10011 + 0o37), 28949 - 28941), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1010110 + 0o31) + chr(51) + chr(911 - 861), 0o10), nzTpIcepk0o8('\060' + chr(2907 - 2796) + '\x33' + chr(0b110110) + chr(511 - 461), ord("\x08")), nzTpIcepk0o8('\x30' + chr(11691 - 11580) + '\x30', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(1304 - 1255) + '\x32' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110010) + '\x32' + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(0b1110 + 0o141) + chr(0b100101 + 0o16) + chr(1795 - 1747) + chr(0b1010 + 0o54), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110010) + chr(0b110100) + '\066', 0o10), nzTpIcepk0o8('\060' + chr(2490 - 2379) + chr(51) + chr(0b100111 + 0o15) + '\067', 0b1000), nzTpIcepk0o8(chr(1299 - 1251) + chr(0b1101111) + chr(630 - 579) + '\060' + chr(971 - 922), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + '\x33' + '\x31', 37027 - 37019), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(0b11110 + 0o121) + chr(50) + chr(49), 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + chr(0b110010) + chr(0b110101) + '\x31', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + chr(49) + chr(2701 - 2648), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(577 - 528) + chr(0b110110) + chr(1632 - 1581), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1011010 + 0o25) + chr(2304 - 2254) + chr(0b1100 + 0o44) + chr(54), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(51) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x34' + '\067', ord("\x08")), nzTpIcepk0o8(chr(636 - 588) + chr(10362 - 10251) + chr(599 - 549) + '\x35' + chr(55), 59794 - 59786), nzTpIcepk0o8(chr(0b110000) + chr(0b10111 + 0o130) + '\061' + chr(49) + '\064', ord("\x08")), nzTpIcepk0o8(chr(571 - 523) + chr(8868 - 8757) + chr(0b110001) + chr(51), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b11110 + 0o23) + '\x32', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x33' + chr(0b110001) + '\x35', 8)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(9958 - 9847) + chr(0b101101 + 0o10) + chr(0b1001 + 0o47), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x1e'), chr(0b1100100) + chr(0b1001101 + 0o30) + chr(9224 - 9125) + '\157' + chr(100) + chr(3401 - 3300))(chr(117) + chr(116) + '\x66' + '\x2d' + chr(0b10100 + 0o44)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def SRaqXca7V3kK(sHR__4_c0Uoo, ZlbFMSG8gCoF=None, sChW4gUsXrIC=None, h3Vc_4wxEbgd=None, RrR6hYOvbpgP=None, KblUOhV3P3V_=roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(100) + chr(5545 - 5444) + chr(5467 - 5368) + chr(9831 - 9720) + chr(0b1100100) + '\x65')(chr(822 - 705) + chr(0b1010001 + 0o43) + chr(0b101001 + 0o75) + chr(154 - 109) + chr(0b111000)), aZTCj4v5QdfO=nzTpIcepk0o8(chr(437 - 389) + chr(111) + chr(48), 8), mrDms3tcRyeh=nzTpIcepk0o8(chr(0b110000) + chr(1330 - 1219) + chr(0b110000), 8)):
if suIjIS24Zkqw(sHR__4_c0Uoo, roI3spqORKae(HLKt4sa1j9hm, roI3spqORKae(ES5oEprVxulp(b't\xc3K\xee{L\xb1\xa7a'), '\144' + '\x65' + chr(0b1100011) + chr(6089 - 5978) + chr(0b100000 + 0o104) + chr(451 - 350))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b101100 + 0o14)))):
IQ9EiAxcHPfV = sHR__4_c0Uoo
_PgT80FByrXu = nzTpIcepk0o8(chr(1520 - 1472) + '\157' + '\x30', 8)
elif suIjIS24Zkqw(sHR__4_c0Uoo, mxgO6GAb3Xup):
IQ9EiAxcHPfV = sHR__4_c0Uoo.IQ9EiAxcHPfV
_PgT80FByrXu = sHR__4_c0Uoo._PgT80FByrXu
if RrR6hYOvbpgP is not None and (ZlbFMSG8gCoF is not None or sChW4gUsXrIC is not None):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'Y\xc8\x1f\xec\\P\xbe\xa5ar\x1et\x8e\xe3\xff6\xf2as\x94e2\xb0\xa7\xca\x88\xaf>1\xde\xa4\x07\xee\xbfN\x8f#y*\xa7'), chr(100) + '\145' + '\x63' + chr(0b110110 + 0o71) + '\144' + chr(6023 - 5922))(chr(6866 - 6749) + '\164' + chr(0b1100110) + '\x2d' + chr(56)))
if ZlbFMSG8gCoF is not None and (not suIjIS24Zkqw(ZlbFMSG8gCoF, H4NoA26ON7iG)):
ZlbFMSG8gCoF = [ZlbFMSG8gCoF]
if sChW4gUsXrIC is not None and (not suIjIS24Zkqw(sChW4gUsXrIC, H4NoA26ON7iG)):
sChW4gUsXrIC = [sChW4gUsXrIC]
if h3Vc_4wxEbgd is not None and (not suIjIS24Zkqw(h3Vc_4wxEbgd, H4NoA26ON7iG)):
h3Vc_4wxEbgd = [h3Vc_4wxEbgd]
if RrR6hYOvbpgP is not None and (not suIjIS24Zkqw(RrR6hYOvbpgP, H4NoA26ON7iG)):
RrR6hYOvbpgP = [RrR6hYOvbpgP]
if _PgT80FByrXu:
if ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (h3Vc_4wxEbgd is not None) and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), '\x64' + '\145' + '\x63' + chr(0b111001 + 0o66) + chr(100) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(1402 - 1357) + chr(0b111000))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), '\144' + chr(0b100110 + 0o77) + chr(0b1100011) + chr(0b1101111) + chr(4637 - 4537) + chr(1223 - 1122))(chr(117) + '\x74' + chr(0b1010 + 0o134) + chr(45) + '\070') + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\x84\x1f'), chr(0b1100100) + '\x65' + '\x63' + '\x6f' + chr(100) + '\145')(chr(1449 - 1332) + chr(0b111110 + 0o66) + chr(102) + chr(45) + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), '\x64' + '\145' + '\143' + '\x6f' + chr(5689 - 5589) + chr(0b1100101))(chr(0b1100010 + 0o23) + chr(0b1110100) + chr(7659 - 7557) + chr(1672 - 1627) + '\x38') + N9zlRy29S1SS(sChW4gUsXrIC) + roI3spqORKae(ES5oEprVxulp(b'\x10\x84\x1f'), '\144' + chr(6373 - 6272) + '\143' + chr(0b11001 + 0o126) + chr(100) + chr(0b1011000 + 0o15))(chr(117) + '\x74' + chr(102) + chr(0b10110 + 0o27) + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(100) + chr(0b101110 + 0o67) + chr(8998 - 8899) + chr(0b1001101 + 0o42) + chr(0b1100100) + '\145')(chr(10610 - 10493) + chr(116) + '\x66' + chr(45) + chr(0b101111 + 0o11)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif RrR6hYOvbpgP is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(100) + chr(8370 - 8269) + chr(0b1100011) + '\x6f' + chr(100) + chr(8568 - 8467))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070')):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'\x18\xcb\x1f\xe6S\x1e'), '\144' + chr(0b1100010 + 0o3) + chr(0b1000101 + 0o36) + chr(0b1001101 + 0o42) + chr(100) + chr(2980 - 2879))(chr(11420 - 11303) + chr(10397 - 10281) + chr(1422 - 1320) + chr(1541 - 1496) + chr(56)) + N9zlRy29S1SS(RrR6hYOvbpgP) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(0b1100000 + 0o4) + chr(0b1100101) + '\x63' + '\157' + chr(2896 - 2796) + chr(0b10011 + 0o122))('\x75' + '\164' + chr(0b1100110) + chr(0b1110 + 0o37) + '\070') + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), chr(6884 - 6784) + '\x65' + chr(99) + '\157' + chr(0b11 + 0o141) + chr(0b1100101))('\x75' + '\x74' + '\146' + chr(0b101101) + '\x38') + N9zlRy29S1SS(RrR6hYOvbpgP) + roI3spqORKae(ES5oEprVxulp(b'\x19\x82\x19\xaf'), chr(2159 - 2059) + '\145' + '\x63' + chr(0b1 + 0o156) + '\x64' + '\x65')(chr(0b110110 + 0o77) + chr(0b1101111 + 0o5) + '\x66' + chr(0b100111 + 0o6) + chr(0b10100 + 0o44)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(120 - 20) + chr(101) + chr(0b1100011) + chr(0b110101 + 0o72) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1000001 + 0o63) + chr(0b100011 + 0o103) + chr(0b111 + 0o46) + chr(0b11010 + 0o36)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif RrR6hYOvbpgP is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), chr(0b1000111 + 0o35) + '\145' + chr(0b0 + 0o143) + chr(0b1101111) + chr(100) + chr(0b1011010 + 0o13))(chr(0b1110101) + chr(116) + chr(2081 - 1979) + chr(0b1100 + 0o41) + '\070')):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), '\x64' + chr(0b1100101) + chr(0b1011110 + 0o5) + chr(10346 - 10235) + chr(4705 - 4605) + chr(0b1011010 + 0o13))(chr(117) + chr(116) + chr(3575 - 3473) + chr(45) + chr(0b110000 + 0o10)) + N9zlRy29S1SS(RrR6hYOvbpgP) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(100) + chr(0b1010000 + 0o25) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(117) + chr(3557 - 3441) + chr(3756 - 3654) + chr(0b101101) + chr(2905 - 2849)) + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), '\x64' + chr(1403 - 1302) + chr(99) + chr(111) + '\144' + chr(101))(chr(117) + chr(0b1010010 + 0o42) + chr(0b11010 + 0o114) + '\055' + chr(3072 - 3016)) + N9zlRy29S1SS(RrR6hYOvbpgP) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), '\x64' + '\145' + chr(2496 - 2397) + chr(0b10101 + 0o132) + chr(3647 - 3547) + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b101111 + 0o11)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(5229 - 5129) + chr(101) + '\143' + chr(111) + chr(7679 - 7579) + '\145')(chr(117) + chr(0b100100 + 0o120) + '\146' + chr(45) + '\x38') + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(0b111011 + 0o51) + chr(9315 - 9214) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(8639 - 8538))('\x75' + '\x74' + chr(0b100010 + 0o104) + chr(45) + '\070')):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b101000 + 0o74) + chr(0b101000 + 0o75))('\165' + chr(0b1110100) + chr(0b11011 + 0o113) + chr(0b101101) + chr(288 - 232)) + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\x84\x1f'), '\x64' + chr(101) + chr(0b1100010 + 0o1) + '\157' + chr(7087 - 6987) + '\x65')(chr(0b110001 + 0o104) + chr(11976 - 11860) + chr(0b1100110) + '\x2d' + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), chr(0b101111 + 0o65) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b11010 + 0o133) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b101011 + 0o15)) + N9zlRy29S1SS(sChW4gUsXrIC)
elif ZlbFMSG8gCoF is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(100) + '\x65' + chr(0b1011000 + 0o13) + '\x6f' + chr(3143 - 3043) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1011101 + 0o11) + chr(0b11000 + 0o25) + chr(56))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b1000010 + 0o55) + chr(100) + chr(0b101111 + 0o66))('\x75' + chr(0b1110100) + chr(102) + '\x2d' + '\070') + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\x84\x1f'), '\x64' + chr(101) + chr(99) + chr(9743 - 9632) + chr(5831 - 5731) + chr(101))(chr(5099 - 4982) + chr(0b1110100) + chr(0b11 + 0o143) + '\x2d' + chr(1318 - 1262)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), '\x64' + chr(0b1110 + 0o127) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(102) + chr(1296 - 1251) + chr(1309 - 1253)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif sChW4gUsXrIC is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(0b1000111 + 0o35) + '\x65' + chr(4180 - 4081) + chr(111) + chr(100) + chr(5315 - 5214))('\165' + chr(0b101000 + 0o114) + '\x66' + chr(45) + chr(56))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), chr(0b1001100 + 0o30) + chr(101) + chr(8876 - 8777) + '\157' + chr(5886 - 5786) + '\145')('\165' + '\164' + chr(0b1000 + 0o136) + chr(45) + chr(1899 - 1843)) + N9zlRy29S1SS(sChW4gUsXrIC) + roI3spqORKae(ES5oEprVxulp(b'\x10\x84\x1f'), '\144' + chr(0b111000 + 0o55) + chr(0b110011 + 0o60) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(0b1101 + 0o127) + chr(5897 - 5796) + '\143' + chr(111) + '\144' + chr(101))(chr(117) + '\x74' + '\x66' + chr(45) + chr(2348 - 2292)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (h3Vc_4wxEbgd is not None) and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\144' + chr(0b110111 + 0o56) + '\x63' + '\x6f' + chr(0b100110 + 0o76) + chr(0b1100101))(chr(117) + chr(0b1101110 + 0o6) + chr(0b1100110) + chr(45) + chr(2366 - 2310))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), '\x64' + chr(0b1100101) + chr(4771 - 4672) + chr(0b1101111) + chr(100) + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + '\x38') + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), '\x64' + '\x65' + '\143' + '\157' + '\144' + chr(8193 - 8092))(chr(0b1110101) + chr(116) + chr(102) + chr(457 - 412) + '\070') + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), '\x64' + chr(0b1001011 + 0o32) + chr(0b1011101 + 0o6) + '\x6f' + chr(0b10 + 0o142) + '\x65')(chr(0b100100 + 0o121) + '\164' + chr(102) + chr(0b101000 + 0o5) + chr(3022 - 2966)) + N9zlRy29S1SS(sChW4gUsXrIC) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(0b101001 + 0o73) + chr(101) + chr(0b1111 + 0o124) + '\x6f' + chr(0b100100 + 0o100) + chr(101))(chr(117) + chr(0b101100 + 0o110) + chr(0b1100110) + chr(45) + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(100) + chr(5983 - 5882) + '\143' + chr(111) + '\x64' + chr(0b1011111 + 0o6))(chr(0b111001 + 0o74) + chr(0b1110100) + '\x66' + '\055' + '\x38') + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\x64' + chr(9822 - 9721) + '\143' + '\157' + chr(0b1100100) + '\145')('\165' + chr(0b1110100) + chr(9006 - 8904) + chr(0b101101) + chr(56))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), chr(3912 - 3812) + chr(101) + chr(99) + '\157' + chr(0b10000 + 0o124) + chr(6643 - 6542))(chr(9552 - 9435) + '\164' + '\x66' + chr(0b100101 + 0o10) + chr(56)) + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(0b0 + 0o145))(chr(0b111011 + 0o72) + chr(0b1100101 + 0o17) + chr(0b10111 + 0o117) + chr(0b101101) + '\x38') + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), chr(0b1001101 + 0o27) + '\145' + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(1056 - 940) + '\x66' + chr(45) + '\x38') + N9zlRy29S1SS(sChW4gUsXrIC)
elif ZlbFMSG8gCoF is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + '\145')(chr(0b110111 + 0o76) + chr(116) + chr(0b10111 + 0o117) + '\055' + '\070')):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), chr(100) + chr(0b100001 + 0o104) + '\143' + chr(0b1011001 + 0o26) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(0b100 + 0o51) + chr(1281 - 1225)) + N9zlRy29S1SS(ZlbFMSG8gCoF) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(9728 - 9628) + '\145' + chr(99) + '\157' + chr(7784 - 7684) + chr(0b1100101))(chr(0b1110101) + chr(6098 - 5982) + chr(0b1101 + 0o131) + '\x2d' + '\070') + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(0b1100100) + chr(762 - 661) + chr(1597 - 1498) + chr(111) + chr(0b1100100) + chr(0b101011 + 0o72))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(0b1 + 0o67)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif sChW4gUsXrIC is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\144' + chr(9899 - 9798) + '\143' + chr(0b100 + 0o153) + '\144' + chr(0b1000100 + 0o41))('\165' + chr(116) + '\x66' + '\055' + chr(56))):
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), '\x64' + chr(0b1100101) + chr(9680 - 9581) + chr(0b110100 + 0o73) + chr(8156 - 8056) + '\145')(chr(0b1110101) + '\164' + chr(7483 - 7381) + chr(0b101101) + '\x38') + N9zlRy29S1SS(sChW4gUsXrIC) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(100) + '\x65')(chr(117) + chr(116) + chr(0b111110 + 0o50) + chr(0b101101) + chr(0b111000)) + roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), '\x64' + chr(0b1100001 + 0o4) + chr(99) + chr(111) + chr(7783 - 7683) + chr(0b1100101))(chr(10336 - 10219) + '\164' + chr(102) + '\x2d' + chr(2452 - 2396)) + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif ZlbFMSG8gCoF is not None:
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), chr(0b1100100) + chr(1327 - 1226) + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')('\x75' + chr(4859 - 4743) + '\146' + chr(0b101101) + chr(0b110100 + 0o4)) + N9zlRy29S1SS(ZlbFMSG8gCoF)
elif sChW4gUsXrIC is not None:
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), '\144' + chr(0b1100101) + chr(99) + '\157' + chr(5118 - 5018) + chr(0b1010000 + 0o25))(chr(0b1110101) + chr(7614 - 7498) + chr(102) + chr(1557 - 1512) + chr(265 - 209)) + N9zlRy29S1SS(sChW4gUsXrIC)
elif h3Vc_4wxEbgd is not None:
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'D\x82V\xe1\x1d'), chr(0b1100100) + '\145' + '\143' + chr(3174 - 3063) + chr(100) + chr(101))(chr(0b10010 + 0o143) + '\164' + '\x66' + chr(0b100100 + 0o11) + '\070') + N9zlRy29S1SS(h3Vc_4wxEbgd)
elif RrR6hYOvbpgP is not None:
mxuNDxAkdoUm = roI3spqORKae(ES5oEprVxulp(b'Y\x82V\xe1\x1d'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\145')('\165' + chr(116) + '\146' + chr(45) + chr(1461 - 1405)) + N9zlRy29S1SS(RrR6hYOvbpgP) + roI3spqORKae(ES5oEprVxulp(b'\x10\xde\x1f'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + chr(102) + '\055' + '\x38') + roI3spqORKae(ES5oEprVxulp(b'Z\x82V\xe1\x1d'), chr(0b1100100) + '\145' + chr(6171 - 6072) + chr(0b1001011 + 0o44) + '\144' + chr(0b10011 + 0o122))('\x75' + chr(10633 - 10517) + chr(102) + '\x2d' + '\070') + N9zlRy29S1SS(RrR6hYOvbpgP)
jpOn8DNZxbbx = HLKt4sa1j9hm.read_hdf(IQ9EiAxcHPfV, where=mxuNDxAkdoUm)
else:
if ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (h3Vc_4wxEbgd is not None) and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(0b1100100) + chr(0b1000 + 0o135) + '\143' + chr(5745 - 5634) + chr(0b1100100) + '\x65')(chr(117) + chr(0b10 + 0o162) + chr(0b1100110) + '\x2d' + chr(2040 - 1984))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), '\144' + chr(0b100010 + 0o103) + '\x63' + chr(0b1101101 + 0o2) + '\x64' + chr(4906 - 4805))(chr(117) + '\164' + chr(0b1100110) + chr(858 - 813) + chr(0b111000 + 0o0))].isin(ZlbFMSG8gCoF) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\144' + chr(8504 - 8403) + '\143' + '\157' + chr(0b1100010 + 0o2) + chr(101))('\165' + chr(116) + '\x66' + chr(45) + '\070')].isin(sChW4gUsXrIC) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(100) + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + '\x66' + chr(1917 - 1872) + chr(56))].isin(h3Vc_4wxEbgd)]
elif RrR6hYOvbpgP is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(4099 - 3999) + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b110110 + 0o57))(chr(1265 - 1148) + '\x74' + '\146' + chr(45) + chr(0b100000 + 0o30))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[(IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(1080 - 980) + chr(0b1001000 + 0o35) + chr(99) + chr(0b0 + 0o157) + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1000100 + 0o42) + '\055' + chr(56))].isin(RrR6hYOvbpgP) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\144' + chr(101) + chr(9549 - 9450) + chr(0b111011 + 0o64) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1011010 + 0o14) + chr(45) + '\x38')].isin(RrR6hYOvbpgP)) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), '\144' + chr(6872 - 6771) + '\x63' + '\157' + chr(4129 - 4029) + chr(101))('\165' + chr(0b1000110 + 0o56) + chr(0b1100110) + '\055' + chr(698 - 642))].isin(h3Vc_4wxEbgd)]
elif RrR6hYOvbpgP is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101 + 0o142) + chr(0b10000 + 0o124) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(2216 - 2160))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(0b11010 + 0o112) + chr(101) + chr(0b1100011) + chr(2228 - 2117) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\146' + '\055' + chr(805 - 749))].isin(RrR6hYOvbpgP) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), chr(0b1100100) + chr(5882 - 5781) + chr(1957 - 1858) + '\x6f' + chr(0b1010110 + 0o16) + chr(0b1100101))(chr(11307 - 11190) + '\x74' + '\146' + chr(0b100101 + 0o10) + chr(56))].isin(RrR6hYOvbpgP) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(0b10110 + 0o116) + '\x65' + chr(0b11100 + 0o107) + chr(3727 - 3616) + chr(100) + chr(3237 - 3136))(chr(9531 - 9414) + '\164' + chr(0b1100110) + chr(45) + chr(0b11100 + 0o34))].isin(h3Vc_4wxEbgd)]
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), chr(4015 - 3915) + chr(0b1100101) + '\143' + chr(5844 - 5733) + chr(100) + '\145')('\165' + '\x74' + '\x66' + '\x2d' + chr(56))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(4106 - 4006) + chr(0b11101 + 0o110) + '\x63' + chr(0b1101111) + chr(4778 - 4678) + '\x65')(chr(0b1110101) + chr(0b1001000 + 0o54) + '\x66' + chr(0b101101) + '\070')].isin(ZlbFMSG8gCoF) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\x64' + chr(101) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1011111 + 0o26) + '\x74' + chr(102) + '\x2d' + chr(0b110010 + 0o6))].isin(sChW4gUsXrIC)]
elif ZlbFMSG8gCoF is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), '\144' + chr(0b1100101) + '\143' + chr(8202 - 8091) + '\x64' + chr(101))(chr(117) + chr(0b1110010 + 0o2) + chr(4217 - 4115) + chr(45) + chr(0b11100 + 0o34))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(0b1100100) + chr(7401 - 7300) + chr(2470 - 2371) + chr(111) + '\x64' + chr(101))('\165' + chr(7954 - 7838) + chr(2229 - 2127) + chr(371 - 326) + chr(0b111000))].isin(ZlbFMSG8gCoF) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(0b1100100) + chr(4730 - 4629) + '\x63' + chr(0b1101111) + '\144' + chr(3397 - 3296))(chr(117) + chr(116) + chr(0b111101 + 0o51) + '\x2d' + chr(0b101110 + 0o12))].isin(h3Vc_4wxEbgd)]
elif sChW4gUsXrIC is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'Q\xcc['), '\x64' + chr(101) + chr(4337 - 4238) + '\x6f' + chr(0b11101 + 0o107) + '\x65')(chr(117) + chr(0b1110100) + '\146' + chr(0b100000 + 0o15) + chr(0b110110 + 0o2))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), chr(6845 - 6745) + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b1100010 + 0o3))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38')].isin(sChW4gUsXrIC) & IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), '\144' + '\145' + chr(99) + chr(0b1001101 + 0o42) + chr(0b1100100) + chr(101))('\x75' + chr(0b110001 + 0o103) + '\146' + '\x2d' + '\x38')].isin(h3Vc_4wxEbgd)]
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (h3Vc_4wxEbgd is not None) and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), chr(100) + chr(1255 - 1154) + '\143' + '\157' + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(0b1000000 + 0o46) + '\055' + chr(0b100100 + 0o24))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(100) + '\x65' + chr(0b1100011) + chr(0b101110 + 0o101) + chr(0b1100100) + chr(2431 - 2330))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))].isin(ZlbFMSG8gCoF) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\x64' + chr(7996 - 7895) + '\143' + chr(10441 - 10330) + chr(5499 - 5399) + chr(7264 - 7163))(chr(117) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000))].isin(sChW4gUsXrIC) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(100) + chr(6475 - 6374) + chr(99) + '\157' + '\x64' + '\x65')('\165' + chr(0b100110 + 0o116) + chr(0b100110 + 0o100) + chr(0b100000 + 0o15) + chr(0b11110 + 0o32))].isin(h3Vc_4wxEbgd)]
elif ZlbFMSG8gCoF is not None and sChW4gUsXrIC is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\144' + chr(101) + chr(0b110 + 0o135) + chr(111) + chr(0b1000011 + 0o41) + '\x65')('\x75' + chr(0b1011101 + 0o27) + '\x66' + '\x2d' + chr(2833 - 2777))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(0b1011010 + 0o12) + chr(101) + chr(0b1010001 + 0o22) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(10402 - 10286) + chr(0b1100110) + chr(0b101101) + '\x38')].isin(ZlbFMSG8gCoF) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\144' + '\x65' + chr(0b1100011) + chr(0b10101 + 0o132) + chr(100) + chr(497 - 396))('\x75' + chr(116) + chr(102) + '\x2d' + '\x38')].isin(sChW4gUsXrIC)]
elif ZlbFMSG8gCoF is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), '\144' + chr(2220 - 2119) + chr(99) + chr(0b111011 + 0o64) + chr(0b110001 + 0o63) + '\145')('\165' + chr(0b1011000 + 0o34) + '\146' + chr(556 - 511) + '\x38')):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(100) + '\145' + chr(7239 - 7140) + chr(111) + chr(100) + chr(101))(chr(0b1110010 + 0o3) + '\x74' + '\146' + chr(0b10110 + 0o27) + chr(0b111000))].isin(ZlbFMSG8gCoF) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(3373 - 3273) + '\x65' + chr(9498 - 9399) + chr(919 - 808) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1101010 + 0o12) + chr(3101 - 2999) + chr(0b101101) + chr(1502 - 1446))].isin(h3Vc_4wxEbgd)]
elif sChW4gUsXrIC is not None and h3Vc_4wxEbgd is not None and (KblUOhV3P3V_ == roI3spqORKae(ES5oEprVxulp(b'_\xd0'), chr(100) + '\x65' + chr(0b1000101 + 0o36) + chr(11574 - 11463) + chr(298 - 198) + chr(0b100000 + 0o105))('\x75' + chr(0b1110100) + chr(0b1011101 + 0o11) + chr(0b10101 + 0o30) + chr(56))):
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), chr(100) + chr(101) + '\143' + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))].isin(sChW4gUsXrIC) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(0b110011 + 0o61) + chr(0b1100101) + chr(99) + '\157' + chr(0b1011100 + 0o10) + '\145')('\165' + chr(0b1110100) + '\x66' + chr(45) + '\070')].isin(h3Vc_4wxEbgd)]
elif ZlbFMSG8gCoF is not None:
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), '\x64' + chr(0b1010 + 0o133) + chr(99) + '\x6f' + chr(100) + chr(101))('\165' + chr(6508 - 6392) + '\x66' + chr(0b101101) + chr(0b111000))].isin(ZlbFMSG8gCoF)]
elif sChW4gUsXrIC is not None:
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1100101 + 0o12) + chr(5266 - 5166) + '\145')('\165' + chr(116) + chr(6142 - 6040) + chr(1001 - 956) + '\070')].isin(sChW4gUsXrIC)]
elif h3Vc_4wxEbgd is not None:
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'D'), chr(0b1100001 + 0o3) + chr(0b1100101) + '\x63' + chr(4658 - 4547) + '\x64' + chr(0b111101 + 0o50))(chr(7683 - 7566) + '\x74' + chr(9329 - 9227) + '\x2d' + chr(0b101011 + 0o15))].isin(h3Vc_4wxEbgd)]
elif RrR6hYOvbpgP is not None:
jpOn8DNZxbbx = IQ9EiAxcHPfV[IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Y'), chr(6555 - 6455) + chr(1640 - 1539) + chr(5064 - 4965) + chr(111) + '\x64' + chr(6641 - 6540))(chr(5589 - 5472) + '\x74' + chr(0b10 + 0o144) + '\055' + chr(0b1001 + 0o57))].isin(RrR6hYOvbpgP) | IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'Z'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + chr(0b10101 + 0o117) + chr(0b1010111 + 0o16))(chr(13131 - 13014) + '\x74' + chr(0b1100110) + chr(0b1111 + 0o36) + '\070')].isin(RrR6hYOvbpgP)]
if aZTCj4v5QdfO:
jpOn8DNZxbbx = jpOn8DNZxbbx.copy()
if mrDms3tcRyeh:
jpOn8DNZxbbx = jpOn8DNZxbbx.CsodZJH6x9Tx
return jpOn8DNZxbbx |
wiheto/teneto | teneto/utils/utils.py | create_supraadjacency_matrix | def create_supraadjacency_matrix(tnet, intersliceweight=1):
"""
Returns a supraadjacency matrix from a temporal network structure
Parameters
--------
tnet : TemporalNetwork
Temporal network (any network type)
intersliceweight : int
Weight that links the same node from adjacent time-points
Returns
--------
supranet : dataframe
Supraadjacency matrix
"""
newnetwork = tnet.network.copy()
newnetwork['i'] = (tnet.network['i']) + \
((tnet.netshape[0]) * (tnet.network['t']))
newnetwork['j'] = (tnet.network['j']) + \
((tnet.netshape[0]) * (tnet.network['t']))
if 'weight' not in newnetwork.columns:
newnetwork['weight'] = 1
newnetwork.drop('t', axis=1, inplace=True)
timepointconns = pd.DataFrame()
timepointconns['i'] = np.arange(0, (tnet.N*tnet.T)-tnet.N)
timepointconns['j'] = np.arange(tnet.N, (tnet.N*tnet.T))
timepointconns['weight'] = intersliceweight
supranet = pd.concat([newnetwork, timepointconns]).reset_index(drop=True)
return supranet | python | def create_supraadjacency_matrix(tnet, intersliceweight=1):
"""
Returns a supraadjacency matrix from a temporal network structure
Parameters
--------
tnet : TemporalNetwork
Temporal network (any network type)
intersliceweight : int
Weight that links the same node from adjacent time-points
Returns
--------
supranet : dataframe
Supraadjacency matrix
"""
newnetwork = tnet.network.copy()
newnetwork['i'] = (tnet.network['i']) + \
((tnet.netshape[0]) * (tnet.network['t']))
newnetwork['j'] = (tnet.network['j']) + \
((tnet.netshape[0]) * (tnet.network['t']))
if 'weight' not in newnetwork.columns:
newnetwork['weight'] = 1
newnetwork.drop('t', axis=1, inplace=True)
timepointconns = pd.DataFrame()
timepointconns['i'] = np.arange(0, (tnet.N*tnet.T)-tnet.N)
timepointconns['j'] = np.arange(tnet.N, (tnet.N*tnet.T))
timepointconns['weight'] = intersliceweight
supranet = pd.concat([newnetwork, timepointconns]).reset_index(drop=True)
return supranet | [
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"+... | Returns a supraadjacency matrix from a temporal network structure
Parameters
--------
tnet : TemporalNetwork
Temporal network (any network type)
intersliceweight : int
Weight that links the same node from adjacent time-points
Returns
--------
supranet : dataframe
Supraadjacency matrix | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/utils.py#L1092-L1121 | train | Creates a supraadjacency matrix from a temporal network structure. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(552 - 504) + chr(0b1011100 + 0o23) + chr(0b1000 + 0o51) + chr(0b110111) + chr(0b1110 + 0o42), 16042 - 16034), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(111) + chr(369 - 319) + chr(0b11001 + 0o35) + '\x36', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\061' + '\x32' + '\065', 8809 - 8801), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + '\x30' + chr(0b100100 + 0o21), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + '\x31' + chr(49) + chr(51), 0o10), nzTpIcepk0o8(chr(0b0 + 0o60) + '\x6f' + chr(0b110010) + chr(1564 - 1512) + chr(0b110 + 0o56), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b100010 + 0o115) + chr(0b1 + 0o64) + chr(0b100011 + 0o24), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + '\065' + '\x37', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b11010 + 0o125) + chr(0b110001) + chr(54) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(4578 - 4467) + chr(0b11001 + 0o32) + chr(0b110011) + chr(0b1100 + 0o45), 0b1000), nzTpIcepk0o8(chr(61 - 13) + chr(0b1101111) + chr(50) + '\x36' + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(8934 - 8823) + '\061' + '\062' + '\x34', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(316 - 266) + '\x32' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(48) + chr(0b11111 + 0o120) + '\x34' + chr(0b1111 + 0o46), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100101 + 0o15) + chr(53) + '\x30', 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(50), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1551 - 1502) + chr(0b110000) + chr(52), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + '\x37', 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b1100 + 0o53) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(111) + chr(0b110011) + '\x31' + '\x36', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + chr(1232 - 1178) + chr(0b110001 + 0o2), ord("\x08")), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\x6f' + chr(0b101110 + 0o5) + chr(51) + '\066', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b11000 + 0o31) + chr(0b110000) + '\x34', 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1512 - 1463) + '\x37' + chr(0b101011 + 0o7), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b111000 + 0o67) + chr(50) + chr(0b1010 + 0o50) + chr(54), 0b1000), nzTpIcepk0o8('\060' + chr(11683 - 11572) + chr(1977 - 1926) + '\061' + chr(48), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b101000 + 0o107) + '\063' + chr(0b110110) + chr(49), 0b1000), nzTpIcepk0o8(chr(499 - 451) + chr(111) + chr(0b100 + 0o56) + chr(50) + chr(0b110110), 8), nzTpIcepk0o8(chr(720 - 672) + chr(9766 - 9655) + chr(0b10011 + 0o36) + chr(54) + '\x30', 8), nzTpIcepk0o8('\060' + chr(2230 - 2119) + '\x37' + chr(0b10001 + 0o46), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(1903 - 1852) + chr(0b110011) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(867 - 819) + chr(111) + chr(0b101010 + 0o10) + '\x34' + chr(574 - 524), 4501 - 4493), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x32' + chr(2021 - 1973) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(59 - 10) + chr(2322 - 2273) + '\x30', 38230 - 38222), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + '\x31' + chr(54), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(8976 - 8865) + chr(416 - 366) + '\067' + '\062', 0b1000), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(11020 - 10909) + chr(1364 - 1314) + chr(0b110111) + chr(2651 - 2599), 1604 - 1596), nzTpIcepk0o8('\060' + chr(0b1010111 + 0o30) + '\063' + chr(0b110111) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(0b101110 + 0o2) + chr(111) + '\x31' + chr(2886 - 2831) + '\060', 8), nzTpIcepk0o8(chr(48) + chr(0b10011 + 0o134) + chr(0b11111 + 0o23) + chr(983 - 930) + chr(2141 - 2092), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(2186 - 2138) + chr(0b111110 + 0o61) + chr(0b110101) + chr(48), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'V'), '\x64' + chr(5064 - 4963) + chr(1534 - 1435) + '\157' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1011100 + 0o30) + '\146' + '\x2d' + chr(0b100100 + 0o24)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def EBcqyWh5tMcZ(sHR__4_c0Uoo, tv3AoaZL_khu=nzTpIcepk0o8('\060' + chr(111) + chr(368 - 319), ord("\x08"))):
d6yGiLL5djbE = sHR__4_c0Uoo.network.copy()
d6yGiLL5djbE[roI3spqORKae(ES5oEprVxulp(b'\x11'), '\144' + chr(0b111101 + 0o50) + '\x63' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(12435 - 12319) + '\146' + '\055' + chr(0b111000))] = sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\x11'), '\144' + chr(0b1100101) + chr(0b111101 + 0o46) + chr(2079 - 1968) + chr(0b1100100) + chr(0b1100101))(chr(7642 - 7525) + chr(116) + chr(0b101011 + 0o73) + chr(0b101101) + chr(631 - 575))] + sHR__4_c0Uoo.k_hzkZorywiQ[nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100001 + 0o17), 0b1000)] * sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\x0c'), chr(100) + chr(0b1000110 + 0o37) + chr(7480 - 7381) + chr(111) + chr(0b1100100) + chr(0b1001001 + 0o34))('\x75' + chr(116) + '\x66' + chr(0b101101) + '\070')]
d6yGiLL5djbE[roI3spqORKae(ES5oEprVxulp(b'\x12'), chr(100) + chr(101) + chr(0b1100011) + chr(2708 - 2597) + '\x64' + chr(0b110010 + 0o63))(chr(0b1110101) + '\164' + chr(9810 - 9708) + '\055' + chr(0b111000))] = sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\x12'), chr(100) + chr(8429 - 8328) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1000010 + 0o44) + chr(0b101101) + '\x38')] + sHR__4_c0Uoo.k_hzkZorywiQ[nzTpIcepk0o8(chr(1264 - 1216) + '\x6f' + chr(48), 8)] * sHR__4_c0Uoo.IQ9EiAxcHPfV[roI3spqORKae(ES5oEprVxulp(b'\x0c'), '\x64' + chr(0b1100101) + chr(99) + chr(4331 - 4220) + '\144' + chr(0b1100101))(chr(0b111 + 0o156) + chr(116) + '\x66' + '\x2d' + chr(56))]
if roI3spqORKae(ES5oEprVxulp(b'\x0f\xd3<"#\xd0'), chr(0b1100100) + chr(0b11011 + 0o112) + chr(0b1100011) + chr(9788 - 9677) + chr(0b1100100) + '\145')(chr(0b1010100 + 0o41) + chr(0b1110100) + chr(9082 - 8980) + chr(1984 - 1939) + '\x38') not in roI3spqORKae(d6yGiLL5djbE, roI3spqORKae(ES5oEprVxulp(b'-\x85l/\x18\xcdf\xdaD\x94\xdc$'), '\x64' + chr(6900 - 6799) + chr(99) + chr(0b100 + 0o153) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b11010 + 0o132) + chr(0b110110 + 0o60) + chr(0b101000 + 0o5) + '\x38')):
d6yGiLL5djbE[roI3spqORKae(ES5oEprVxulp(b'\x0f\xd3<"#\xd0'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + chr(0b1100101))('\165' + chr(116) + chr(0b1010001 + 0o25) + chr(0b101101) + chr(0b111000))] = nzTpIcepk0o8(chr(0b100100 + 0o14) + '\157' + '\061', 8)
roI3spqORKae(d6yGiLL5djbE, roI3spqORKae(ES5oEprVxulp(b'\x1c\xc4:5'), chr(100) + '\145' + '\143' + chr(111) + chr(4090 - 3990) + chr(0b1011010 + 0o13))(chr(0b1110101) + '\x74' + chr(5679 - 5577) + '\055' + '\070'))(roI3spqORKae(ES5oEprVxulp(b'\x0c'), chr(4852 - 4752) + chr(2923 - 2822) + chr(0b1010110 + 0o15) + chr(0b1000000 + 0o57) + chr(100) + chr(101))(chr(0b1010101 + 0o40) + '\164' + '\146' + chr(45) + '\x38'), axis=nzTpIcepk0o8(chr(48) + chr(111) + '\061', 8), inplace=nzTpIcepk0o8('\060' + '\157' + chr(1144 - 1095), 8))
VWxJBwlBy7CW = HLKt4sa1j9hm.DataFrame()
VWxJBwlBy7CW[roI3spqORKae(ES5oEprVxulp(b'\x11'), '\144' + chr(0b1100101) + chr(2526 - 2427) + '\x6f' + chr(0b1000101 + 0o37) + chr(0b1100101))(chr(0b1110101) + chr(1782 - 1666) + '\146' + chr(0b11010 + 0o23) + '\070')] = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b100010 + 0o16), 8), sHR__4_c0Uoo.UtB2m8Xmgf5k * sHR__4_c0Uoo.hq6XE4_Nhd6R - sHR__4_c0Uoo.UtB2m8Xmgf5k)
VWxJBwlBy7CW[roI3spqORKae(ES5oEprVxulp(b'\x12'), '\x64' + chr(0b1001010 + 0o33) + '\x63' + chr(7728 - 7617) + chr(475 - 375) + '\x65')(chr(0b1101010 + 0o13) + chr(7133 - 7017) + '\x66' + '\x2d' + chr(0b11101 + 0o33))] = nDF4gVNx0u9Q.chmI_GMU_sEi(sHR__4_c0Uoo.UtB2m8Xmgf5k, sHR__4_c0Uoo.UtB2m8Xmgf5k * sHR__4_c0Uoo.hq6XE4_Nhd6R)
VWxJBwlBy7CW[roI3spqORKae(ES5oEprVxulp(b'\x0f\xd3<"#\xd0'), chr(223 - 123) + chr(101) + '\x63' + '\157' + '\144' + chr(101))(chr(117) + chr(116) + '\x66' + '\x2d' + chr(539 - 483))] = tv3AoaZL_khu
AChKhpcHGwC7 = HLKt4sa1j9hm.concat([d6yGiLL5djbE, VWxJBwlBy7CW]).reset_index(drop=nzTpIcepk0o8('\060' + chr(11918 - 11807) + '\x31', 8))
return AChKhpcHGwC7 |
wiheto/teneto | teneto/utils/io.py | tnet_to_nx | def tnet_to_nx(df, t=None):
"""
Creates undirected networkx object
"""
if t is not None:
df = get_network_when(df, t=t)
if 'weight' in df.columns:
nxobj = nx.from_pandas_edgelist(
df, source='i', target='j', edge_attr='weight')
else:
nxobj = nx.from_pandas_edgelist(df, source='i', target='j')
return nxobj | python | def tnet_to_nx(df, t=None):
"""
Creates undirected networkx object
"""
if t is not None:
df = get_network_when(df, t=t)
if 'weight' in df.columns:
nxobj = nx.from_pandas_edgelist(
df, source='i', target='j', edge_attr='weight')
else:
nxobj = nx.from_pandas_edgelist(df, source='i', target='j')
return nxobj | [
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"networkx",
"object"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/io.py#L5-L16 | train | Converts a TNET dataframe to a NetworkX object. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(111) + chr(1390 - 1336) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\062' + '\x34' + '\x36', 60105 - 60097), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + '\062' + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1101111) + chr(0b110011) + chr(48) + '\067', 0o10), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(0b11101 + 0o122) + '\063' + '\062', ord("\x08")), nzTpIcepk0o8(chr(2066 - 2018) + chr(0b100100 + 0o113) + chr(0b101001 + 0o11) + '\x37' + '\x30', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110111) + chr(0b1110 + 0o45), 0o10), nzTpIcepk0o8(chr(1723 - 1675) + '\157' + chr(0b110010) + '\064' + chr(0b10101 + 0o42), 60989 - 60981), nzTpIcepk0o8(chr(0b110000) + chr(0b0 + 0o157) + chr(0b110001) + chr(2636 - 2582) + chr(1409 - 1359), 62730 - 62722), nzTpIcepk0o8('\060' + chr(0b1101010 + 0o5) + chr(0b101110 + 0o4) + chr(0b110111) + '\x37', 0o10), nzTpIcepk0o8(chr(1227 - 1179) + chr(111) + chr(0b110010) + chr(640 - 586) + '\064', 0o10), nzTpIcepk0o8(chr(1549 - 1501) + chr(0b1101111) + '\061' + '\x32' + chr(2376 - 2325), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + '\064' + chr(0b101001 + 0o11), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b1001 + 0o52) + chr(0b110110) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\062' + chr(52) + '\066', 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2450 - 2400) + '\x34' + chr(0b110110), 8), nzTpIcepk0o8(chr(0b100110 + 0o12) + '\x6f' + '\062' + '\066' + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(111) + '\064' + chr(1946 - 1895), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + '\060', 0o10), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(2522 - 2411) + chr(51) + '\062' + chr(0b110100), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110011) + chr(0b110111) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b101110 + 0o2) + '\157' + '\x33' + '\065' + chr(431 - 379), 14934 - 14926), nzTpIcepk0o8(chr(700 - 652) + chr(5712 - 5601) + '\x37' + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(967 - 917) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(2718 - 2607) + chr(0b110010) + '\x36' + chr(50), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1101 + 0o44) + '\x34' + chr(53), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(52) + chr(0b110111), 8), nzTpIcepk0o8(chr(293 - 245) + chr(4368 - 4257) + chr(0b101001 + 0o12) + chr(52) + chr(54), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b101101 + 0o4) + chr(49) + chr(50), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(0b10001 + 0o42) + chr(51), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110001) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(1878 - 1830) + chr(2246 - 2135) + '\063' + chr(337 - 288) + chr(1144 - 1090), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x32' + '\x33' + '\061', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b1100 + 0o46) + chr(1996 - 1946), 15423 - 15415), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x33' + chr(0b100110 + 0o17) + '\x31', 59329 - 59321), nzTpIcepk0o8('\060' + chr(0b110110 + 0o71) + chr(0b110000 + 0o1) + '\061' + '\x36', 8), nzTpIcepk0o8(chr(48) + '\x6f' + chr(117 - 68) + '\060' + chr(0b10110 + 0o35), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b10010 + 0o40) + '\060', 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x33' + chr(0b1100 + 0o53) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(1417 - 1369) + chr(5479 - 5368) + chr(967 - 917) + chr(0b101111 + 0o5) + chr(0b110010), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11100 + 0o31) + chr(0b110000), 2623 - 2615)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x18'), chr(0b100011 + 0o101) + '\x65' + chr(0b110110 + 0o55) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b11110 + 0o126) + chr(7033 - 6931) + chr(0b101101) + chr(2282 - 2226)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def laJqTkxqHYVx(jpOn8DNZxbbx, h3Vc_4wxEbgd=None):
if h3Vc_4wxEbgd is not None:
jpOn8DNZxbbx = SRaqXca7V3kK(jpOn8DNZxbbx, t=h3Vc_4wxEbgd)
if roI3spqORKae(ES5oEprVxulp(b'A\xc3\xfe\xa0r\xcc'), '\144' + '\145' + '\143' + chr(111) + chr(0b101111 + 0o65) + '\145')(chr(0b111110 + 0o67) + chr(116) + chr(7269 - 7167) + '\055' + '\070') in roI3spqORKae(jpOn8DNZxbbx, roI3spqORKae(ES5oEprVxulp(b'c\x95\xae\xadI\xd1r\x92F\xf2\xd8#'), chr(3151 - 3051) + chr(0b101100 + 0o71) + '\x63' + chr(8312 - 8201) + chr(0b1100100) + chr(8826 - 8725))(chr(0b11101 + 0o130) + chr(116) + chr(4249 - 4147) + '\055' + '\070')):
W256aBxPoYHG = zKtrBMPw45Ns.from_pandas_edgelist(jpOn8DNZxbbx, source=roI3spqORKae(ES5oEprVxulp(b'_'), '\144' + chr(0b1000000 + 0o45) + '\143' + '\x6f' + chr(8071 - 7971) + chr(0b1100101))('\165' + chr(6254 - 6138) + chr(8402 - 8300) + chr(0b1 + 0o54) + '\070'), target=roI3spqORKae(ES5oEprVxulp(b'\\'), '\144' + chr(3086 - 2985) + chr(3624 - 3525) + chr(8227 - 8116) + '\x64' + '\145')(chr(117) + '\164' + chr(2807 - 2705) + chr(0b101101) + '\x38'), edge_attr=roI3spqORKae(ES5oEprVxulp(b'A\xc3\xfe\xa0r\xcc'), chr(0b1100100) + chr(101) + chr(0b1010101 + 0o16) + '\x6f' + chr(5328 - 5228) + chr(0b1100101))(chr(0b1001101 + 0o50) + chr(11654 - 11538) + '\146' + chr(0b101101) + chr(0b111000)))
else:
W256aBxPoYHG = zKtrBMPw45Ns.from_pandas_edgelist(jpOn8DNZxbbx, source=roI3spqORKae(ES5oEprVxulp(b'_'), chr(4492 - 4392) + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))('\165' + chr(116) + chr(0b1011011 + 0o13) + chr(45) + chr(0b111000)), target=roI3spqORKae(ES5oEprVxulp(b'\\'), chr(100) + '\145' + chr(0b1010 + 0o131) + '\x6f' + '\144' + chr(0b1100010 + 0o3))('\x75' + chr(0b1001100 + 0o50) + chr(0b1100110) + '\055' + chr(56)))
return W256aBxPoYHG |
wiheto/teneto | teneto/communitydetection/louvain.py | temporal_louvain | def temporal_louvain(tnet, resolution=1, intersliceweight=1, n_iter=100, negativeedge='ignore', randomseed=None, consensus_threshold=0.5, temporal_consensus=True, njobs=1):
r"""
Louvain clustering for a temporal network.
Parameters
-----------
tnet : array, dict, TemporalNetwork
Input network
resolution : int
resolution of Louvain clustering ($\gamma$)
intersliceweight : int
interslice weight of multilayer clustering ($\omega$). Must be positive.
n_iter : int
Number of iterations to run louvain for
randomseed : int
Set for reproduceability
negativeedge : str
If there are negative edges, what should be done with them.
Options: 'ignore' (i.e. set to 0). More options to be added.
consensus : float (0.5 default)
When creating consensus matrix to average over number of iterations, keep values when the consensus is this amount.
Returns
-------
communities : array (node,time)
node,time array of community assignment
Notes
-------
References
----------
"""
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
# Divide resolution by the number of timepoints
resolution = resolution / tnet.T
supranet = create_supraadjacency_matrix(
tnet, intersliceweight=intersliceweight)
if negativeedge == 'ignore':
supranet = supranet[supranet['weight'] > 0]
nxsupra = tnet_to_nx(supranet)
np.random.seed(randomseed)
while True:
comtmp = []
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(_run_louvain, nxsupra, resolution, tnet.N, tnet.T) for n in range(n_iter)}
for j in as_completed(job):
comtmp.append(j.result())
comtmp = np.stack(comtmp)
comtmp = comtmp.transpose()
comtmp = np.reshape(comtmp, [tnet.N, tnet.T, n_iter], order='F')
if n_iter == 1:
break
nxsupra_old = nxsupra
nxsupra = make_consensus_matrix(comtmp, consensus_threshold)
# If there was no consensus, there are no communities possible, return
if nxsupra is None:
break
if (nx.to_numpy_array(nxsupra, nodelist=np.arange(tnet.N*tnet.T)) == nx.to_numpy_array(nxsupra_old, nodelist=np.arange(tnet.N*tnet.T))).all():
break
communities = comtmp[:, :, 0]
if temporal_consensus == True:
communities = make_temporal_consensus(communities)
return communities | python | def temporal_louvain(tnet, resolution=1, intersliceweight=1, n_iter=100, negativeedge='ignore', randomseed=None, consensus_threshold=0.5, temporal_consensus=True, njobs=1):
r"""
Louvain clustering for a temporal network.
Parameters
-----------
tnet : array, dict, TemporalNetwork
Input network
resolution : int
resolution of Louvain clustering ($\gamma$)
intersliceweight : int
interslice weight of multilayer clustering ($\omega$). Must be positive.
n_iter : int
Number of iterations to run louvain for
randomseed : int
Set for reproduceability
negativeedge : str
If there are negative edges, what should be done with them.
Options: 'ignore' (i.e. set to 0). More options to be added.
consensus : float (0.5 default)
When creating consensus matrix to average over number of iterations, keep values when the consensus is this amount.
Returns
-------
communities : array (node,time)
node,time array of community assignment
Notes
-------
References
----------
"""
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
# Divide resolution by the number of timepoints
resolution = resolution / tnet.T
supranet = create_supraadjacency_matrix(
tnet, intersliceweight=intersliceweight)
if negativeedge == 'ignore':
supranet = supranet[supranet['weight'] > 0]
nxsupra = tnet_to_nx(supranet)
np.random.seed(randomseed)
while True:
comtmp = []
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(_run_louvain, nxsupra, resolution, tnet.N, tnet.T) for n in range(n_iter)}
for j in as_completed(job):
comtmp.append(j.result())
comtmp = np.stack(comtmp)
comtmp = comtmp.transpose()
comtmp = np.reshape(comtmp, [tnet.N, tnet.T, n_iter], order='F')
if n_iter == 1:
break
nxsupra_old = nxsupra
nxsupra = make_consensus_matrix(comtmp, consensus_threshold)
# If there was no consensus, there are no communities possible, return
if nxsupra is None:
break
if (nx.to_numpy_array(nxsupra, nodelist=np.arange(tnet.N*tnet.T)) == nx.to_numpy_array(nxsupra_old, nodelist=np.arange(tnet.N*tnet.T))).all():
break
communities = comtmp[:, :, 0]
if temporal_consensus == True:
communities = make_temporal_consensus(communities)
return communities | [
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Louvain clustering for a temporal network.
Parameters
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tnet : array, dict, TemporalNetwork
Input network
resolution : int
resolution of Louvain clustering ($\gamma$)
intersliceweight : int
interslice weight of multilayer clustering ($\omega$). Must be positive.
n_iter : int
Number of iterations to run louvain for
randomseed : int
Set for reproduceability
negativeedge : str
If there are negative edges, what should be done with them.
Options: 'ignore' (i.e. set to 0). More options to be added.
consensus : float (0.5 default)
When creating consensus matrix to average over number of iterations, keep values when the consensus is this amount.
Returns
-------
communities : array (node,time)
node,time array of community assignment
Notes
-------
References
---------- | [
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"network",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/communitydetection/louvain.py#L11-L75 | train | r This function creates a Louvain clustering for a temporal network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b1 + 0o57) + chr(471 - 360) + chr(0b110010) + '\x31' + chr(0b101001 + 0o12), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1000001 + 0o56) + chr(50) + chr(0b110001) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + chr(3216 - 3105) + chr(0b110 + 0o57), 52464 - 52456), nzTpIcepk0o8(chr(0b110000) + chr(0b110001 + 0o76) + '\061' + chr(0b110100), 30406 - 30398), nzTpIcepk0o8(chr(0b101010 + 0o6) + '\x6f' + chr(0b110001) + chr(0b100110 + 0o12), 0b1000), nzTpIcepk0o8('\x30' + chr(0b11 + 0o154) + chr(2049 - 1999) + chr(0b1000 + 0o56), 57062 - 57054), nzTpIcepk0o8('\060' + '\x6f' + chr(2301 - 2250) + '\066' + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b100010 + 0o115) + chr(855 - 806) + chr(48) + chr(0b110101), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + chr(0b110110) + chr(0b1100 + 0o47), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31' + chr(52) + chr(50), 18273 - 18265), nzTpIcepk0o8(chr(99 - 51) + chr(0b1101111) + chr(0b110001) + '\x30' + '\060', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111 + 0o0) + chr(2569 - 2518) + chr(0b110010) + chr(0b10000 + 0o46), 0o10), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(111) + chr(880 - 830) + '\x30' + chr(0b110110), 6832 - 6824), nzTpIcepk0o8('\060' + chr(0b10110 + 0o131) + chr(1268 - 1217) + chr(0b110010) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + '\x36' + chr(0b10011 + 0o35), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b110001) + chr(0b1000 + 0o50) + chr(51), 20565 - 20557), nzTpIcepk0o8(chr(688 - 640) + '\x6f' + '\065' + chr(0b11010 + 0o32), 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(111) + chr(90 - 40) + '\x36', 8), nzTpIcepk0o8(chr(0b101001 + 0o7) + '\x6f' + chr(0b110010) + chr(51) + chr(0b110011), 5194 - 5186), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(0b101111 + 0o4) + '\x32', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(623 - 574) + chr(0b1011 + 0o54) + chr(980 - 930), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1131 - 1080) + chr(49) + chr(0b11000 + 0o35), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(231 - 180) + chr(2570 - 2515) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b11010 + 0o125) + chr(0b10101 + 0o40) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b10000 + 0o47) + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1000010 + 0o55) + chr(1335 - 1285) + chr(54) + chr(0b100 + 0o60), 0o10), nzTpIcepk0o8(chr(1405 - 1357) + chr(0b1101110 + 0o1) + chr(0b110001) + chr(0b1000 + 0o55) + '\063', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110011) + chr(1239 - 1185) + chr(0b10010 + 0o41), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1485 - 1436) + chr(264 - 215) + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + '\060' + chr(2109 - 2056), 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(50) + chr(1550 - 1495) + '\x30', 14473 - 14465), nzTpIcepk0o8('\x30' + chr(0b1001001 + 0o46) + '\061' + '\x37' + chr(1715 - 1665), 8), nzTpIcepk0o8('\060' + chr(10465 - 10354) + chr(0b110011) + '\062' + '\x32', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b101101 + 0o102) + chr(2093 - 2043) + '\062' + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + chr(0b11101 + 0o25) + chr(0b110001), 16820 - 16812), nzTpIcepk0o8('\x30' + '\157' + chr(1596 - 1545) + chr(50) + chr(0b10111 + 0o34), 0b1000), nzTpIcepk0o8('\060' + '\157' + '\x31' + chr(0b100111 + 0o14), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(253 - 203) + '\067' + chr(1326 - 1278), 8), nzTpIcepk0o8('\060' + chr(0b1001111 + 0o40) + chr(0b100110 + 0o15) + chr(0b110000 + 0o2) + chr(52), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b10111 + 0o31) + '\x6f' + '\065' + chr(0b110000), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xa5'), chr(1068 - 968) + '\145' + '\x63' + chr(0b1000010 + 0o55) + '\144' + '\145')(chr(0b1110101) + '\164' + '\x66' + chr(1913 - 1868) + chr(829 - 773)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def l7M02Q0wwWPr(sHR__4_c0Uoo, Q9AnJyBnHGPb=nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001), ord("\x08")), tv3AoaZL_khu=nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8), Js8it_bs9kk4=nzTpIcepk0o8('\x30' + chr(11018 - 10907) + '\061' + '\x34' + chr(240 - 188), 0o10), qbz8N1KCCb1L=roI3spqORKae(ES5oEprVxulp(b'\xe2\xe9kczs'), '\x64' + chr(101) + '\143' + '\x6f' + chr(0b101000 + 0o74) + chr(101))('\x75' + chr(283 - 167) + chr(3905 - 3803) + chr(45) + chr(0b111000)), pSigApo8BbWn=None, zWWV0laYuEdB=0.5, cr5_TP4Ujoz9=nzTpIcepk0o8(chr(765 - 717) + '\x6f' + chr(0b10010 + 0o37), 8), em5eAK7ynp6O=nzTpIcepk0o8(chr(0b1000 + 0o50) + '\x6f' + chr(249 - 200), 8)):
sHR__4_c0Uoo = RMWMODhhKksQ(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b'\xc8'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b100111 + 0o110) + chr(100) + chr(0b1000000 + 0o45))(chr(117) + chr(12222 - 12106) + chr(0b110101 + 0o61) + chr(0b1001 + 0o44) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xcc'), '\x64' + chr(101) + chr(0b110010 + 0o61) + chr(0b1101111) + chr(100) + chr(0b1111 + 0o126))(chr(0b1110101) + chr(116) + chr(9940 - 9838) + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xdf\xc0'), '\x64' + chr(0b111110 + 0o47) + chr(0b1100011) + chr(111) + chr(0b101000 + 0o74) + '\x65')(chr(2835 - 2718) + '\164' + chr(7444 - 7342) + chr(0b101101) + chr(0b111000))], roI3spqORKae(ES5oEprVxulp(b'\xdf\xc0'), '\x64' + chr(0b1100101) + chr(7965 - 7866) + chr(0b1101111) + '\x64' + chr(0b110110 + 0o57))(chr(0b1110101) + chr(5236 - 5120) + chr(0b11101 + 0o111) + chr(175 - 130) + chr(0b100100 + 0o24)))
Q9AnJyBnHGPb = Q9AnJyBnHGPb / sHR__4_c0Uoo.hq6XE4_Nhd6R
AChKhpcHGwC7 = EBcqyWh5tMcZ(sHR__4_c0Uoo, intersliceweight=tv3AoaZL_khu)
if qbz8N1KCCb1L == roI3spqORKae(ES5oEprVxulp(b'\xe2\xe9kczs'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1001 + 0o146) + chr(6748 - 6648) + '\145')(chr(0b1 + 0o164) + chr(0b1110100) + '\x66' + chr(45) + '\x38'):
AChKhpcHGwC7 = AChKhpcHGwC7[AChKhpcHGwC7[roI3spqORKae(ES5oEprVxulp(b'\xfc\xeblk`b'), chr(3551 - 3451) + '\x65' + '\143' + chr(0b1000110 + 0o51) + chr(0b11111 + 0o105) + '\x65')(chr(0b111010 + 0o73) + '\x74' + '\x66' + chr(0b101011 + 0o2) + chr(2382 - 2326))] > nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(111) + chr(1372 - 1324), ord("\x08"))]
OImQyV3HLG_j = laJqTkxqHYVx(AChKhpcHGwC7)
roI3spqORKae(nDF4gVNx0u9Q.random, roI3spqORKae(ES5oEprVxulp(b'\xe1\xdfL[Yu\xc1v\xa7 \x18\xe0'), chr(288 - 188) + chr(0b1100101) + '\143' + '\157' + '\144' + chr(4706 - 4605))(chr(0b1001 + 0o154) + chr(8843 - 8727) + chr(0b1100110) + '\x2d' + chr(2586 - 2530)))(pSigApo8BbWn)
while nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + '\061', 8):
WkekHcJmWxWO = []
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(Ah6wHBo1R0_v, OImQyV3HLG_j, Q9AnJyBnHGPb, sHR__4_c0Uoo.UtB2m8Xmgf5k, sHR__4_c0Uoo.hq6XE4_Nhd6R) for NoZxuO7wjArS in bbT2xIe5pzk7(Js8it_bs9kk4)}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(WkekHcJmWxWO, roI3spqORKae(ES5oEprVxulp(b'\xc3\xdaV8pq\xb0*\x99\r\x15\xe3'), chr(100) + '\145' + chr(5208 - 5109) + chr(0b110 + 0o151) + chr(0b1100000 + 0o4) + chr(3230 - 3129))(chr(0b1110101) + chr(116) + chr(0b10100 + 0o122) + '\055' + chr(0b11110 + 0o32)))(roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'\xdb\xc1}5={\xc0\x16\xa3-\x16\xaf'), chr(0b11001 + 0o113) + '\x65' + chr(3679 - 3580) + chr(0b100110 + 0o111) + chr(3771 - 3671) + chr(0b1100101))(chr(0b1110101) + chr(5440 - 5324) + '\146' + '\055' + chr(0b101101 + 0o13)))())
WkekHcJmWxWO = nDF4gVNx0u9Q.GmJYyzXaQAzC(WkekHcJmWxWO)
WkekHcJmWxWO = WkekHcJmWxWO.transpose()
WkekHcJmWxWO = nDF4gVNx0u9Q.reshape(WkekHcJmWxWO, [sHR__4_c0Uoo.UtB2m8Xmgf5k, sHR__4_c0Uoo.hq6XE4_Nhd6R, Js8it_bs9kk4], order=roI3spqORKae(ES5oEprVxulp(b'\xcd'), chr(5833 - 5733) + chr(0b1100101) + chr(2904 - 2805) + chr(7665 - 7554) + chr(100) + chr(2321 - 2220))('\x75' + '\x74' + chr(0b1100110) + chr(1525 - 1480) + '\x38'))
if Js8it_bs9kk4 == nzTpIcepk0o8(chr(48) + chr(111) + chr(49), 8):
break
nMidbHmuFPOe = OImQyV3HLG_j
OImQyV3HLG_j = i2O5_SBTdbdn(WkekHcJmWxWO, zWWV0laYuEdB)
if OImQyV3HLG_j is None:
break
if roI3spqORKae(zKtrBMPw45Ns.to_numpy_array(OImQyV3HLG_j, nodelist=nDF4gVNx0u9Q.arange(sHR__4_c0Uoo.N * sHR__4_c0Uoo.T)) == zKtrBMPw45Ns.to_numpy_array(nMidbHmuFPOe, nodelist=nDF4gVNx0u9Q.arange(sHR__4_c0Uoo.N * sHR__4_c0Uoo.T)), roI3spqORKae(ES5oEprVxulp(b'\xea\xe2i'), chr(1592 - 1492) + chr(101) + chr(0b11101 + 0o106) + '\x6f' + '\144' + '\145')(chr(0b1110101) + chr(0b1001111 + 0o45) + '\146' + chr(45) + chr(56)))():
break
zoiuJtv6Z4HM = WkekHcJmWxWO[:, :, nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8)]
if cr5_TP4Ujoz9:
zoiuJtv6Z4HM = utkWp7qXrdhG(zoiuJtv6Z4HM)
return zoiuJtv6Z4HM |
wiheto/teneto | teneto/communitydetection/louvain.py | make_consensus_matrix | def make_consensus_matrix(com_membership, th=0.5):
r"""
Makes the consensus matrix
.
Parameters
----------
com_membership : array
Shape should be node, time, iteration.
th : float
threshold to cancel noisey edges
Returns
-------
D : array
consensus matrix
"""
com_membership = np.array(com_membership)
D = []
for i in range(com_membership.shape[0]):
for j in range(i+1, com_membership.shape[0]):
con = np.sum((com_membership[i, :] - com_membership[j, :])
== 0, axis=-1) / com_membership.shape[-1]
twhere = np.where(con > th)[0]
D += list(zip(*[np.repeat(i, len(twhere)).tolist(), np.repeat(j,
len(twhere)).tolist(), twhere.tolist(), con[twhere].tolist()]))
if len(D) > 0:
D = pd.DataFrame(D, columns=['i', 'j', 't', 'weight'])
D = TemporalNetwork(from_df=D)
D = create_supraadjacency_matrix(D, intersliceweight=0)
Dnx = tnet_to_nx(D)
else:
Dnx = None
return Dnx | python | def make_consensus_matrix(com_membership, th=0.5):
r"""
Makes the consensus matrix
.
Parameters
----------
com_membership : array
Shape should be node, time, iteration.
th : float
threshold to cancel noisey edges
Returns
-------
D : array
consensus matrix
"""
com_membership = np.array(com_membership)
D = []
for i in range(com_membership.shape[0]):
for j in range(i+1, com_membership.shape[0]):
con = np.sum((com_membership[i, :] - com_membership[j, :])
== 0, axis=-1) / com_membership.shape[-1]
twhere = np.where(con > th)[0]
D += list(zip(*[np.repeat(i, len(twhere)).tolist(), np.repeat(j,
len(twhere)).tolist(), twhere.tolist(), con[twhere].tolist()]))
if len(D) > 0:
D = pd.DataFrame(D, columns=['i', 'j', 't', 'weight'])
D = TemporalNetwork(from_df=D)
D = create_supraadjacency_matrix(D, intersliceweight=0)
Dnx = tnet_to_nx(D)
else:
Dnx = None
return Dnx | [
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... | r"""
Makes the consensus matrix
.
Parameters
----------
com_membership : array
Shape should be node, time, iteration.
th : float
threshold to cancel noisey edges
Returns
-------
D : array
consensus matrix | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/communitydetection/louvain.py#L84-L120 | train | r Creates the consensus matrix for a single noisey node. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b111000 + 0o67) + '\067' + chr(1098 - 1048), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(1041 - 991) + chr(0b110011) + chr(0b1000 + 0o50), ord("\x08")), nzTpIcepk0o8(chr(269 - 221) + chr(111) + chr(1215 - 1166) + chr(50) + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110000 + 0o3) + chr(53) + '\x36', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010 + 0o3) + '\x34', 0o10), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(9400 - 9289) + chr(538 - 489) + chr(0b101 + 0o61) + '\x36', 0b1000), nzTpIcepk0o8(chr(48) + chr(12111 - 12000) + chr(905 - 856) + chr(51) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(2831 - 2777) + '\x33', 43495 - 43487), nzTpIcepk0o8('\x30' + chr(0b1001001 + 0o46) + '\062' + chr(416 - 364) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(858 - 810) + chr(0b110000 + 0o77) + chr(1882 - 1831) + '\x34', 11156 - 11148), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b11110 + 0o121) + '\062' + '\x35' + chr(1478 - 1429), 41169 - 41161), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + '\062' + '\063' + chr(51), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(2318 - 2269) + chr(54) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(111) + '\061' + '\067' + chr(1540 - 1490), 58945 - 58937), nzTpIcepk0o8('\060' + chr(111) + '\063' + '\066' + chr(50), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\060', 0o10), nzTpIcepk0o8('\060' + chr(111) + '\061' + chr(0b110101) + '\060', 52291 - 52283), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061', 47450 - 47442), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101100 + 0o3) + chr(1456 - 1407) + '\x37' + chr(0b101001 + 0o16), 4782 - 4774), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(7814 - 7703) + '\x32' + chr(0b110101) + chr(0b110100), 37883 - 37875), nzTpIcepk0o8('\x30' + '\x6f' + chr(583 - 534) + chr(0b110111) + '\063', 14437 - 14429), nzTpIcepk0o8(chr(512 - 464) + chr(4704 - 4593) + chr(1208 - 1157) + '\x36' + '\x30', 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(51) + '\061' + chr(50), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b101111 + 0o100) + chr(435 - 386) + '\x37' + '\x37', 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(51) + '\x33' + chr(0b110111), 18989 - 18981), nzTpIcepk0o8(chr(48) + chr(0b1101 + 0o142) + chr(49) + chr(280 - 228) + '\x33', 24690 - 24682), nzTpIcepk0o8('\x30' + chr(111) + chr(766 - 716) + chr(0b1111 + 0o41) + '\062', 40685 - 40677), nzTpIcepk0o8(chr(1792 - 1744) + chr(0b1101111) + '\063' + chr(53) + chr(0b101101 + 0o6), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + '\063' + chr(0b110011), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1841 - 1791) + chr(49) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + '\x33' + chr(1943 - 1890) + chr(0b1101 + 0o47), 46454 - 46446), nzTpIcepk0o8('\x30' + '\x6f' + '\x33' + '\x35' + chr(52), 8), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + '\061' + chr(0b110011), 6968 - 6960), nzTpIcepk0o8('\x30' + '\x6f' + '\x32' + chr(0b110111) + chr(51), 9264 - 9256), nzTpIcepk0o8('\x30' + chr(0b100010 + 0o115) + '\063' + chr(419 - 364) + '\061', 0b1000), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1011010 + 0o25) + chr(1093 - 1044) + chr(0b110100) + '\x36', 0o10), nzTpIcepk0o8(chr(48) + chr(8148 - 8037) + chr(0b110000 + 0o3) + chr(158 - 106) + chr(0b100000 + 0o27), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(52) + chr(0b100110 + 0o15), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(53) + chr(1558 - 1510), 8509 - 8501), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b101000 + 0o16) + '\065', 61236 - 61228)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + chr(53) + '\060', 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x14'), chr(100) + '\x65' + chr(99) + chr(111) + '\144' + '\x65')(chr(2994 - 2877) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(684 - 628)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def i2O5_SBTdbdn(xHWR7LZkzoap, zW5xXJ77YZDm=0.5):
xHWR7LZkzoap = nDF4gVNx0u9Q.Tn6rGr7XTM7t(xHWR7LZkzoap)
hOjrMKpaybfC = []
for ZlbFMSG8gCoF in bbT2xIe5pzk7(roI3spqORKae(xHWR7LZkzoap, roI3spqORKae(ES5oEprVxulp(b'V\xf05\xa3\x1cOo2\xe0K\x91\xfd'), chr(100) + chr(0b100011 + 0o102) + chr(7105 - 7006) + chr(0b1101111) + chr(8087 - 7987) + chr(0b1100101))(chr(0b1001000 + 0o55) + '\164' + chr(0b1010011 + 0o23) + chr(0b100000 + 0o15) + '\x38'))[nzTpIcepk0o8(chr(48) + '\x6f' + '\060', 8)]):
for sChW4gUsXrIC in bbT2xIe5pzk7(ZlbFMSG8gCoF + nzTpIcepk0o8('\x30' + chr(3423 - 3312) + '\x31', 8), roI3spqORKae(xHWR7LZkzoap, roI3spqORKae(ES5oEprVxulp(b'V\xf05\xa3\x1cOo2\xe0K\x91\xfd'), chr(2067 - 1967) + chr(0b111110 + 0o47) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b111 + 0o156) + '\164' + chr(102) + '\055' + chr(0b11110 + 0o32)))[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b100101 + 0o13), 8)]):
D3H9MFOOog2W = nDF4gVNx0u9Q.oclC8DLjA_lV(xHWR7LZkzoap[ZlbFMSG8gCoF, :] - xHWR7LZkzoap[sChW4gUsXrIC, :] == nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(0b100011 + 0o114) + chr(0b110000), 8), axis=-nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(111) + chr(0b110001), 8)) / xHWR7LZkzoap.lhbM092AFW8f[-nzTpIcepk0o8('\060' + chr(0b110011 + 0o74) + chr(0b11110 + 0o23), 8)]
vTvareIEzGq0 = nDF4gVNx0u9Q.xWH4M7K6Qbd3(D3H9MFOOog2W > zW5xXJ77YZDm)[nzTpIcepk0o8(chr(48) + chr(111) + '\x30', 8)]
hOjrMKpaybfC += H4NoA26ON7iG(TxMFWa_Xzviv(*[nDF4gVNx0u9Q.repeat(ZlbFMSG8gCoF, ftfygxgFas5X(vTvareIEzGq0)).tolist(), nDF4gVNx0u9Q.repeat(sChW4gUsXrIC, ftfygxgFas5X(vTvareIEzGq0)).tolist(), vTvareIEzGq0.tolist(), D3H9MFOOog2W[vTvareIEzGq0].tolist()]))
if ftfygxgFas5X(hOjrMKpaybfC) > nzTpIcepk0o8('\x30' + chr(0b1010011 + 0o34) + chr(1869 - 1821), 8):
hOjrMKpaybfC = HLKt4sa1j9hm.DataFrame(hOjrMKpaybfC, columns=[roI3spqORKae(ES5oEprVxulp(b'S'), '\144' + chr(3301 - 3200) + chr(0b101100 + 0o67) + chr(0b1101111) + '\144' + chr(0b10000 + 0o125))(chr(0b1110101) + chr(2068 - 1952) + chr(0b1010 + 0o134) + chr(45) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'P'), '\144' + chr(6232 - 6131) + '\143' + chr(0b1110 + 0o141) + chr(100) + chr(693 - 592))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b10110 + 0o27) + chr(0b11100 + 0o34)), roI3spqORKae(ES5oEprVxulp(b'N'), chr(0b1100100) + chr(101) + chr(5030 - 4931) + '\x6f' + chr(100) + chr(0b100110 + 0o77))(chr(165 - 48) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'M\xfd>\x89D\x02'), '\144' + '\x65' + '\x63' + chr(111) + chr(0b101000 + 0o74) + chr(0b101011 + 0o72))(chr(12074 - 11957) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))])
hOjrMKpaybfC = uPwqW7cqOnfp(from_df=hOjrMKpaybfC)
hOjrMKpaybfC = EBcqyWh5tMcZ(hOjrMKpaybfC, intersliceweight=nzTpIcepk0o8(chr(48) + '\157' + '\x30', 8))
FbfWpcFl9Ahy = laJqTkxqHYVx(hOjrMKpaybfC)
else:
FbfWpcFl9Ahy = None
return FbfWpcFl9Ahy |
wiheto/teneto | teneto/communitydetection/louvain.py | make_temporal_consensus | def make_temporal_consensus(com_membership):
r"""
Matches community labels accross time-points
Jaccard matching is in a greedy fashiong. Matching the largest community at t with the community at t-1.
Parameters
----------
com_membership : array
Shape should be node, time.
Returns
-------
D : array
temporal consensus matrix using Jaccard distance
"""
com_membership = np.array(com_membership)
# make first indicies be between 0 and 1.
com_membership[:, 0] = clean_community_indexes(com_membership[:, 0])
# loop over all timepoints, get jacccard distance in greedy manner for largest community to time period before
for t in range(1, com_membership.shape[1]):
ct, counts_t = np.unique(com_membership[:, t], return_counts=True)
ct = ct[np.argsort(counts_t)[::-1]]
c1back = np.unique(com_membership[:, t-1])
new_index = np.zeros(com_membership.shape[0])
for n in ct:
if len(c1back) > 0:
d = np.ones(int(c1back.max())+1)
for m in c1back:
v1 = np.zeros(com_membership.shape[0])
v2 = np.zeros(com_membership.shape[0])
v1[com_membership[:, t] == n] = 1
v2[com_membership[:, t-1] == m] = 1
d[int(m)] = jaccard(v1, v2)
bestval = np.argmin(d)
else:
bestval = new_index.max() + 1
new_index[com_membership[:, t] == n] = bestval
c1back = np.array(np.delete(c1back, np.where(c1back == bestval)))
com_membership[:, t] = new_index
return com_membership | python | def make_temporal_consensus(com_membership):
r"""
Matches community labels accross time-points
Jaccard matching is in a greedy fashiong. Matching the largest community at t with the community at t-1.
Parameters
----------
com_membership : array
Shape should be node, time.
Returns
-------
D : array
temporal consensus matrix using Jaccard distance
"""
com_membership = np.array(com_membership)
# make first indicies be between 0 and 1.
com_membership[:, 0] = clean_community_indexes(com_membership[:, 0])
# loop over all timepoints, get jacccard distance in greedy manner for largest community to time period before
for t in range(1, com_membership.shape[1]):
ct, counts_t = np.unique(com_membership[:, t], return_counts=True)
ct = ct[np.argsort(counts_t)[::-1]]
c1back = np.unique(com_membership[:, t-1])
new_index = np.zeros(com_membership.shape[0])
for n in ct:
if len(c1back) > 0:
d = np.ones(int(c1back.max())+1)
for m in c1back:
v1 = np.zeros(com_membership.shape[0])
v2 = np.zeros(com_membership.shape[0])
v1[com_membership[:, t] == n] = 1
v2[com_membership[:, t-1] == m] = 1
d[int(m)] = jaccard(v1, v2)
bestval = np.argmin(d)
else:
bestval = new_index.max() + 1
new_index[com_membership[:, t] == n] = bestval
c1back = np.array(np.delete(c1back, np.where(c1back == bestval)))
com_membership[:, t] = new_index
return com_membership | [
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Matches community labels accross time-points
Jaccard matching is in a greedy fashiong. Matching the largest community at t with the community at t-1.
Parameters
----------
com_membership : array
Shape should be node, time.
Returns
-------
D : array
temporal consensus matrix using Jaccard distance | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/communitydetection/louvain.py#L123-L167 | train | r Creates a temporal consensus matrix for the given community labels accross time - points. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\157' + '\x31' + chr(0b1 + 0o60) + chr(2218 - 2166), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(2189 - 2141) + '\157' + chr(0b110011) + '\060' + '\x34', 0b1000), nzTpIcepk0o8(chr(1259 - 1211) + '\157' + chr(0b110011) + chr(0b1010 + 0o52) + chr(0b10111 + 0o37), ord("\x08")), nzTpIcepk0o8(chr(0b1101 + 0o43) + '\157' + '\061' + chr(0b110100) + chr(0b100111 + 0o17), ord("\x08")), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(1197 - 1086) + chr(1416 - 1362), 1648 - 1640), nzTpIcepk0o8(chr(1433 - 1385) + chr(0b1101111) + chr(231 - 181) + '\065', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(50) + chr(0b110101) + '\x33', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(49) + '\060' + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(49), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(460 - 410) + '\x33' + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(55) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1010 + 0o145) + chr(51) + '\x37', ord("\x08")), nzTpIcepk0o8(chr(1666 - 1618) + chr(0b1101111) + chr(0b110110), 8), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11100 + 0o32) + chr(0b1001 + 0o52), ord("\x08")), nzTpIcepk0o8(chr(1965 - 1917) + chr(0b101101 + 0o102) + chr(50) + '\067', 23905 - 23897), nzTpIcepk0o8(chr(48) + '\157' + '\062' + chr(0b110011) + chr(53), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(174 - 123) + '\x34' + chr(53), 0b1000), nzTpIcepk0o8(chr(0b110 + 0o52) + '\157' + chr(0b1111 + 0o44) + chr(53) + '\062', 0o10), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b1101111) + chr(0b101111 + 0o2) + '\x33' + chr(55), 0o10), nzTpIcepk0o8(chr(1498 - 1450) + chr(0b1111 + 0o140) + chr(552 - 500) + chr(0b110000 + 0o6), 0o10), nzTpIcepk0o8(chr(994 - 946) + chr(11625 - 11514) + '\x31' + '\x36' + chr(2879 - 2824), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + '\063' + '\x31', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(54) + chr(55), 8), nzTpIcepk0o8('\060' + '\157' + chr(50) + '\x37' + chr(0b110101), 12519 - 12511), nzTpIcepk0o8('\060' + chr(1622 - 1511) + chr(0b110 + 0o55) + chr(1637 - 1588) + chr(0b110001), 34025 - 34017), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11000 + 0o31) + '\063' + '\x37', 8), nzTpIcepk0o8('\060' + '\157' + chr(466 - 417) + chr(2020 - 1972) + chr(912 - 863), 0b1000), nzTpIcepk0o8(chr(589 - 541) + chr(3230 - 3119) + chr(2348 - 2297) + chr(51) + chr(962 - 907), 0o10), nzTpIcepk0o8('\x30' + chr(0b100100 + 0o113) + chr(0b110110) + chr(1335 - 1284), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + chr(2234 - 2184) + chr(0b110010 + 0o5), 3120 - 3112), nzTpIcepk0o8(chr(91 - 43) + chr(0b10100 + 0o133) + chr(0b100011 + 0o16) + chr(53), 0b1000), nzTpIcepk0o8(chr(48) + chr(804 - 693) + chr(0b1100 + 0o47) + '\x31' + chr(0b11001 + 0o32), ord("\x08")), nzTpIcepk0o8('\060' + chr(1569 - 1458) + chr(0b11110 + 0o23) + chr(48) + '\x34', 8), nzTpIcepk0o8(chr(48) + chr(2675 - 2564) + '\x31' + chr(1011 - 957) + '\x35', 198 - 190), nzTpIcepk0o8('\060' + chr(111) + chr(326 - 277) + chr(2358 - 2304) + '\x30', 0b1000), nzTpIcepk0o8(chr(48) + chr(7289 - 7178) + '\063' + '\067' + chr(562 - 511), 37266 - 37258), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(6131 - 6020) + chr(0b110110) + chr(0b101 + 0o61), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(51) + '\062' + chr(49), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(2498 - 2387) + chr(0b110001) + '\062' + '\x31', 64887 - 64879)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1034 - 981) + chr(0b110000), 7690 - 7682)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'b'), chr(0b101100 + 0o70) + chr(101) + chr(0b1100011) + chr(0b1000001 + 0o56) + '\144' + '\145')(chr(0b1110101) + '\164' + chr(0b1100110) + chr(45) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def utkWp7qXrdhG(xHWR7LZkzoap):
xHWR7LZkzoap = nDF4gVNx0u9Q.Tn6rGr7XTM7t(xHWR7LZkzoap)
xHWR7LZkzoap[:, nzTpIcepk0o8('\x30' + chr(111) + chr(1500 - 1452), ord("\x08"))] = QH7D3zo935E_(xHWR7LZkzoap[:, nzTpIcepk0o8(chr(1572 - 1524) + chr(0b101001 + 0o106) + '\060', 8)])
for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8(chr(926 - 878) + chr(0b10011 + 0o134) + '\061', 0o10), roI3spqORKae(xHWR7LZkzoap, roI3spqORKae(ES5oEprVxulp(b" \xf3\xa6\xabV?'\xea\x02.\xa5\\"), chr(9339 - 9239) + chr(0b1010100 + 0o21) + chr(99) + chr(0b10000 + 0o137) + chr(3853 - 3753) + '\145')(chr(9296 - 9179) + chr(11859 - 11743) + chr(2961 - 2859) + chr(168 - 123) + chr(0b10000 + 0o50)))[nzTpIcepk0o8(chr(48) + chr(111) + chr(0b100 + 0o55), 8)]):
(yuO9YgOQNAWK, x6ASmi7keNfk) = nDF4gVNx0u9Q.G3de2eWQaS0D(xHWR7LZkzoap[:, h3Vc_4wxEbgd], return_counts=nzTpIcepk0o8(chr(731 - 683) + chr(0b1101111) + chr(49), 8))
yuO9YgOQNAWK = yuO9YgOQNAWK[nDF4gVNx0u9Q.argsort(x6ASmi7keNfk)[::-nzTpIcepk0o8(chr(48) + chr(111) + chr(49), 8)]]
BipuzekAjSud = nDF4gVNx0u9Q.G3de2eWQaS0D(xHWR7LZkzoap[:, h3Vc_4wxEbgd - nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001), 8)])
rk70SgGzAAom = nDF4gVNx0u9Q.UmwwEp7MzR6q(xHWR7LZkzoap.lhbM092AFW8f[nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b100111 + 0o110) + '\x30', 8)])
for NoZxuO7wjArS in yuO9YgOQNAWK:
if ftfygxgFas5X(BipuzekAjSud) > nzTpIcepk0o8(chr(0b110000) + chr(0b1011 + 0o144) + chr(0b0 + 0o60), 8):
vPPlOXQgR3SM = nDF4gVNx0u9Q.rYPkZ8_2D0X1(nzTpIcepk0o8(BipuzekAjSud.KV9ckIhroIia()) + nzTpIcepk0o8('\060' + chr(0b101100 + 0o103) + chr(1436 - 1387), 8))
for tF75nqoNENFL in BipuzekAjSud:
pDhUq4x6UMmH = nDF4gVNx0u9Q.UmwwEp7MzR6q(xHWR7LZkzoap.lhbM092AFW8f[nzTpIcepk0o8(chr(48) + chr(3538 - 3427) + chr(48), 8)])
uFA9Lk4IxvMH = nDF4gVNx0u9Q.UmwwEp7MzR6q(xHWR7LZkzoap.lhbM092AFW8f[nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + '\x30', 8)])
pDhUq4x6UMmH[xHWR7LZkzoap[:, h3Vc_4wxEbgd] == NoZxuO7wjArS] = nzTpIcepk0o8('\x30' + chr(10018 - 9907) + chr(0b11000 + 0o31), 8)
uFA9Lk4IxvMH[xHWR7LZkzoap[:, h3Vc_4wxEbgd - nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b10101 + 0o34), 8)] == tF75nqoNENFL] = nzTpIcepk0o8(chr(48) + '\157' + '\061', 8)
vPPlOXQgR3SM[nzTpIcepk0o8(tF75nqoNENFL)] = fsTn2nT4Vx1e(pDhUq4x6UMmH, uFA9Lk4IxvMH)
GDOejdWqMznk = nDF4gVNx0u9Q.argmin(vPPlOXQgR3SM)
else:
GDOejdWqMznk = rk70SgGzAAom.KV9ckIhroIia() + nzTpIcepk0o8('\x30' + chr(2513 - 2402) + chr(0b110001), 8)
rk70SgGzAAom[xHWR7LZkzoap[:, h3Vc_4wxEbgd] == NoZxuO7wjArS] = GDOejdWqMznk
BipuzekAjSud = nDF4gVNx0u9Q.Tn6rGr7XTM7t(nDF4gVNx0u9Q.gNQxGQmbJXBt(BipuzekAjSud, nDF4gVNx0u9Q.xWH4M7K6Qbd3(BipuzekAjSud == GDOejdWqMznk)))
xHWR7LZkzoap[:, h3Vc_4wxEbgd] = rk70SgGzAAom
return xHWR7LZkzoap |
wiheto/teneto | teneto/temporalcommunity/flexibility.py | flexibility | def flexibility(communities):
"""
Amount a node changes community
Parameters
----------
communities : array
Community array of shape (node,time)
Returns
--------
flex : array
Size with the flexibility of each node.
Notes
-----
Flexbility calculates the number of times a node switches its community label during a time series. It is normalized by the number of possible changes which could occur. It is important to make sure that the different community labels accross time points are not artbirary.
References
-----------
Bassett, DS, Wymbs N, Porter MA, Mucha P, Carlson JM, Grafton ST. Dynamic reconfiguration of human brain networks during learning. PNAS, 2011, 108(18):7641-6.
"""
# Preallocate
flex = np.zeros(communities.shape[0])
# Go from the second time point to last, compare with time-point before
for t in range(1, communities.shape[1]):
flex[communities[:, t] != communities[:, t-1]] += 1
# Normalize
flex = flex / (communities.shape[1] - 1)
return flex | python | def flexibility(communities):
"""
Amount a node changes community
Parameters
----------
communities : array
Community array of shape (node,time)
Returns
--------
flex : array
Size with the flexibility of each node.
Notes
-----
Flexbility calculates the number of times a node switches its community label during a time series. It is normalized by the number of possible changes which could occur. It is important to make sure that the different community labels accross time points are not artbirary.
References
-----------
Bassett, DS, Wymbs N, Porter MA, Mucha P, Carlson JM, Grafton ST. Dynamic reconfiguration of human brain networks during learning. PNAS, 2011, 108(18):7641-6.
"""
# Preallocate
flex = np.zeros(communities.shape[0])
# Go from the second time point to last, compare with time-point before
for t in range(1, communities.shape[1]):
flex[communities[:, t] != communities[:, t-1]] += 1
# Normalize
flex = flex / (communities.shape[1] - 1)
return flex | [
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Parameters
----------
communities : array
Community array of shape (node,time)
Returns
--------
flex : array
Size with the flexibility of each node.
Notes
-----
Flexbility calculates the number of times a node switches its community label during a time series. It is normalized by the number of possible changes which could occur. It is important to make sure that the different community labels accross time points are not artbirary.
References
-----------
Bassett, DS, Wymbs N, Porter MA, Mucha P, Carlson JM, Grafton ST. Dynamic reconfiguration of human brain networks during learning. PNAS, 2011, 108(18):7641-6. | [
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"changes",
"community"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/temporalcommunity/flexibility.py#L4-L34 | train | Returns the flexibility of a node changes community. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10110 + 0o32) + '\157' + chr(0b110101) + '\x37', 58390 - 58382), nzTpIcepk0o8(chr(48) + chr(111) + chr(51) + chr(54) + chr(2764 - 2710), 0o10), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(8796 - 8685) + chr(1397 - 1347) + chr(0b11101 + 0o23) + '\x32', 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + '\x34' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b1110 + 0o43) + '\063', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1000010 + 0o55) + '\065' + chr(77 - 22), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010) + chr(48) + chr(2403 - 2350), 0o10), nzTpIcepk0o8('\x30' + chr(11066 - 10955) + '\062' + chr(0b110110) + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\157' + chr(52) + chr(910 - 861), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b10010 + 0o42), 0o10), nzTpIcepk0o8('\060' + chr(4254 - 4143) + chr(196 - 147) + chr(50) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1810 - 1760) + '\062' + '\x31', 0o10), nzTpIcepk0o8(chr(2010 - 1962) + chr(0b11111 + 0o120) + '\063' + chr(1829 - 1779), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(1636 - 1525) + chr(50) + chr(2461 - 2411) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101010 + 0o5) + chr(0b110011) + chr(1371 - 1319) + chr(593 - 544), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b101111 + 0o100) + chr(0b110001) + chr(0b110000) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1100110 + 0o11) + chr(1314 - 1265) + chr(52) + chr(0b1011 + 0o45), 0b1000), nzTpIcepk0o8(chr(1084 - 1036) + chr(0b1101111) + chr(0b101010 + 0o7) + chr(49) + chr(0b110000 + 0o0), ord("\x08")), nzTpIcepk0o8(chr(1004 - 956) + chr(0b100 + 0o153) + chr(2220 - 2171) + chr(0b1100 + 0o45) + '\060', 8), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(111) + '\x31' + chr(0b10100 + 0o41) + '\063', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110001) + chr(1408 - 1357) + chr(1283 - 1234), ord("\x08")), nzTpIcepk0o8('\x30' + chr(2715 - 2604) + chr(0b110001) + '\x35' + '\065', 0b1000), nzTpIcepk0o8(chr(2239 - 2191) + '\x6f' + '\061' + '\x32' + chr(664 - 610), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b0 + 0o62) + chr(55) + '\x31', 0b1000), nzTpIcepk0o8(chr(1763 - 1715) + '\x6f' + chr(1592 - 1538), 0o10), nzTpIcepk0o8(chr(48) + chr(0b101100 + 0o103) + chr(0b110010) + chr(0b110101) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(1784 - 1736) + '\x6f' + chr(50) + chr(0b110110) + chr(1356 - 1305), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110010) + chr(0b1 + 0o57) + '\x32', 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + '\065', 0b1000), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(5543 - 5432) + '\064' + chr(0b101000 + 0o14), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010) + chr(52), 7460 - 7452), nzTpIcepk0o8('\060' + chr(0b1000001 + 0o56) + chr(49) + '\066' + chr(49), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b100001 + 0o21) + chr(0b101100 + 0o5), 17924 - 17916), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31' + chr(0b110010) + chr(2276 - 2223), 8), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(1604 - 1556), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + '\061' + chr(1638 - 1588), 0b1000), nzTpIcepk0o8(chr(48) + chr(7351 - 7240) + chr(206 - 157) + chr(1275 - 1222) + chr(1991 - 1940), 8), nzTpIcepk0o8(chr(0b100111 + 0o11) + '\157' + '\x31' + chr(0b101001 + 0o16), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110001) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31' + chr(1085 - 1031) + '\x31', 8)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(676 - 565) + chr(0b110101) + chr(0b110000), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x01'), chr(0b1100100) + '\145' + '\x63' + chr(111) + chr(0b1100100) + '\x65')('\165' + '\164' + chr(0b1100110) + chr(0b11010 + 0o23) + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def FJI4EH468nFP(zoiuJtv6Z4HM):
hbIU6n7Hce8p = nDF4gVNx0u9Q.UmwwEp7MzR6q(zoiuJtv6Z4HM.lhbM092AFW8f[nzTpIcepk0o8('\x30' + '\x6f' + chr(0b10001 + 0o37), 0o10)])
for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8('\060' + '\157' + '\061', 41821 - 41813), roI3spqORKae(zoiuJtv6Z4HM, roI3spqORKae(ES5oEprVxulp(b'C\x9e\xe0\xaa;\x16\xb7\xf6g\x83m\xf7'), chr(100) + chr(0b1100101) + chr(2877 - 2778) + '\x6f' + chr(2680 - 2580) + chr(0b100100 + 0o101))(chr(0b1010000 + 0o45) + chr(1071 - 955) + chr(0b11111 + 0o107) + '\x2d' + chr(0b1110 + 0o52)))[nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(0b110110 + 0o71) + chr(49), 8)]):
hbIU6n7Hce8p[zoiuJtv6Z4HM[:, h3Vc_4wxEbgd] != zoiuJtv6Z4HM[:, h3Vc_4wxEbgd - nzTpIcepk0o8(chr(2060 - 2012) + chr(0b1101111) + chr(0b100101 + 0o14), 8)]] += nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8)
hbIU6n7Hce8p = hbIU6n7Hce8p / (zoiuJtv6Z4HM.lhbM092AFW8f[nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b101010 + 0o105) + '\x31', 8)] - nzTpIcepk0o8('\060' + chr(0b10 + 0o155) + chr(0b101110 + 0o3), 8))
return hbIU6n7Hce8p |
wiheto/teneto | teneto/plot/slice_plot.py | slice_plot | def slice_plot(netin, ax, nodelabels=None, timelabels=None, communities=None, plotedgeweights=False, edgeweightscalar=1, timeunit='', linestyle='k-', cmap=None, nodesize=100, nodekwargs=None, edgekwargs=None):
r'''
Fuction draws "slice graph" and exports axis handles
Parameters
----------
netin : array, dict
temporal network input (graphlet or contact)
ax : matplotlib figure handles.
nodelabels : list
nodes labels. List of strings.
timelabels : list
labels of dimension Graph is expressed across. List of strings.
communities : array
array of size: (time) or (node,time). Nodes will be coloured accordingly.
plotedgeweights : bool
if True, edges will vary in size (default False)
edgeweightscalar : int
scalar to multiply all edges if tweaking is needed.
timeunit : string
unit time axis is in.
linestyle : string
line style of Bezier curves.
nodesize : int
size of nodes
nodekwargs : dict
any additional kwargs for matplotlib.plt.scatter for the nodes
edgekwargs : dict
any additional kwargs for matplotlib.plt.plots for the edges
Returns
---------
ax : axis handle of slice graph
Examples
---------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot'] # Node names
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.slice_plot(C, ax, cmap='Pastel2')
>>> plt.tight_layout()
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot']
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Pastel2'
ax = teneto.plot.slice_plot(C,ax,cmap=cmap)
plt.tight_layout()
fig.show()
'''
# Get input type (C or G)
inputType = checkInput(netin)
# Convert C representation to G
if inputType == 'G':
netin = graphlet2contact(netin)
inputType = 'C'
edgelist = [tuple(np.array(e[0:2]) + e[2] * netin['netshape'][0])
for e in netin['contacts']]
if nodelabels is not None and len(nodelabels) == netin['netshape'][0]:
pass
elif nodelabels is not None and len(nodelabels) != netin['netshape'][0]:
raise ValueError('specified node label length does not match netshape')
elif nodelabels is None and netin['nodelabels'] == '':
nodelabels = np.arange(1, netin['netshape'][0] + 1)
else:
nodelabels = netin['nodelabels']
if timelabels is not None and len(timelabels) == netin['netshape'][-1]:
pass
elif timelabels is not None and len(timelabels) != netin['netshape'][-1]:
raise ValueError('specified time label length does not match netshape')
elif timelabels is None and str(netin['t0']) == '':
timelabels = np.arange(1, netin['netshape'][-1] + 1)
else:
timelabels = np.arange(netin['t0'], netin['Fs'] *
netin['netshape'][-1] + netin['t0'], netin['Fs'])
if timeunit is None:
timeunit = netin['timeunit']
timeNum = len(timelabels)
nodeNum = len(nodelabels)
posy = np.tile(list(range(0, nodeNum)), timeNum)
posx = np.repeat(list(range(0, timeNum)), nodeNum)
if nodekwargs is None:
nodekwargs = {}
if edgekwargs is None:
edgekwargs = {}
if cmap:
nodekwargs['cmap'] = cmap
if 'c' not in nodekwargs:
nodekwargs['c'] = posy
if communities is not None:
# check if temporal or static
if len(communities.shape) == 1:
nodekwargs['c'] = np.tile(communities, timeNum)
else:
nodekwargs['c'] = communities.flatten(order='F')
# plt.plot(points)
# Draw Bezier vectors around egde positions
for ei, edge in enumerate(edgelist):
if plotedgeweights == True and netin['nettype'][0] == 'w':
edgekwargs['linewidth'] = netin['values'][ei] * edgeweightscalar
bvx, bvy = bezier_points(
(posx[edge[0]], posy[edge[0]]), (posx[edge[1]], posy[edge[1]]), nodeNum, 20)
ax.plot(bvx, bvy, linestyle, **edgekwargs)
ax.set_yticks(range(0, len(nodelabels)))
ax.set_xticks(range(0, len(timelabels)))
ax.set_yticklabels(nodelabels)
ax.set_xticklabels(timelabels)
ax.grid()
ax.set_frame_on(False)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
ax.set_xlim([min(posx) - 1, max(posx) + 1])
ax.set_ylim([min(posy) - 1, max(posy) + 1])
ax.scatter(posx, posy, s=nodesize, zorder=10, **nodekwargs)
if timeunit != '':
timeunit = ' (' + timeunit + ')'
ax.set_xlabel('Time' + timeunit)
return ax | python | def slice_plot(netin, ax, nodelabels=None, timelabels=None, communities=None, plotedgeweights=False, edgeweightscalar=1, timeunit='', linestyle='k-', cmap=None, nodesize=100, nodekwargs=None, edgekwargs=None):
r'''
Fuction draws "slice graph" and exports axis handles
Parameters
----------
netin : array, dict
temporal network input (graphlet or contact)
ax : matplotlib figure handles.
nodelabels : list
nodes labels. List of strings.
timelabels : list
labels of dimension Graph is expressed across. List of strings.
communities : array
array of size: (time) or (node,time). Nodes will be coloured accordingly.
plotedgeweights : bool
if True, edges will vary in size (default False)
edgeweightscalar : int
scalar to multiply all edges if tweaking is needed.
timeunit : string
unit time axis is in.
linestyle : string
line style of Bezier curves.
nodesize : int
size of nodes
nodekwargs : dict
any additional kwargs for matplotlib.plt.scatter for the nodes
edgekwargs : dict
any additional kwargs for matplotlib.plt.plots for the edges
Returns
---------
ax : axis handle of slice graph
Examples
---------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot'] # Node names
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.slice_plot(C, ax, cmap='Pastel2')
>>> plt.tight_layout()
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot']
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Pastel2'
ax = teneto.plot.slice_plot(C,ax,cmap=cmap)
plt.tight_layout()
fig.show()
'''
# Get input type (C or G)
inputType = checkInput(netin)
# Convert C representation to G
if inputType == 'G':
netin = graphlet2contact(netin)
inputType = 'C'
edgelist = [tuple(np.array(e[0:2]) + e[2] * netin['netshape'][0])
for e in netin['contacts']]
if nodelabels is not None and len(nodelabels) == netin['netshape'][0]:
pass
elif nodelabels is not None and len(nodelabels) != netin['netshape'][0]:
raise ValueError('specified node label length does not match netshape')
elif nodelabels is None and netin['nodelabels'] == '':
nodelabels = np.arange(1, netin['netshape'][0] + 1)
else:
nodelabels = netin['nodelabels']
if timelabels is not None and len(timelabels) == netin['netshape'][-1]:
pass
elif timelabels is not None and len(timelabels) != netin['netshape'][-1]:
raise ValueError('specified time label length does not match netshape')
elif timelabels is None and str(netin['t0']) == '':
timelabels = np.arange(1, netin['netshape'][-1] + 1)
else:
timelabels = np.arange(netin['t0'], netin['Fs'] *
netin['netshape'][-1] + netin['t0'], netin['Fs'])
if timeunit is None:
timeunit = netin['timeunit']
timeNum = len(timelabels)
nodeNum = len(nodelabels)
posy = np.tile(list(range(0, nodeNum)), timeNum)
posx = np.repeat(list(range(0, timeNum)), nodeNum)
if nodekwargs is None:
nodekwargs = {}
if edgekwargs is None:
edgekwargs = {}
if cmap:
nodekwargs['cmap'] = cmap
if 'c' not in nodekwargs:
nodekwargs['c'] = posy
if communities is not None:
# check if temporal or static
if len(communities.shape) == 1:
nodekwargs['c'] = np.tile(communities, timeNum)
else:
nodekwargs['c'] = communities.flatten(order='F')
# plt.plot(points)
# Draw Bezier vectors around egde positions
for ei, edge in enumerate(edgelist):
if plotedgeweights == True and netin['nettype'][0] == 'w':
edgekwargs['linewidth'] = netin['values'][ei] * edgeweightscalar
bvx, bvy = bezier_points(
(posx[edge[0]], posy[edge[0]]), (posx[edge[1]], posy[edge[1]]), nodeNum, 20)
ax.plot(bvx, bvy, linestyle, **edgekwargs)
ax.set_yticks(range(0, len(nodelabels)))
ax.set_xticks(range(0, len(timelabels)))
ax.set_yticklabels(nodelabels)
ax.set_xticklabels(timelabels)
ax.grid()
ax.set_frame_on(False)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.get_xaxis().tick_bottom()
ax.get_yaxis().tick_left()
ax.set_xlim([min(posx) - 1, max(posx) + 1])
ax.set_ylim([min(posy) - 1, max(posy) + 1])
ax.scatter(posx, posy, s=nodesize, zorder=10, **nodekwargs)
if timeunit != '':
timeunit = ' (' + timeunit + ')'
ax.set_xlabel('Time' + timeunit)
return ax | [
"def",
"slice_plot",
"(",
"netin",
",",
"ax",
",",
"nodelabels",
"=",
"None",
",",
"timelabels",
"=",
"None",
",",
"communities",
"=",
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"=",
"False",
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"edgeweightscalar",
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",",
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",",
"line... | r'''
Fuction draws "slice graph" and exports axis handles
Parameters
----------
netin : array, dict
temporal network input (graphlet or contact)
ax : matplotlib figure handles.
nodelabels : list
nodes labels. List of strings.
timelabels : list
labels of dimension Graph is expressed across. List of strings.
communities : array
array of size: (time) or (node,time). Nodes will be coloured accordingly.
plotedgeweights : bool
if True, edges will vary in size (default False)
edgeweightscalar : int
scalar to multiply all edges if tweaking is needed.
timeunit : string
unit time axis is in.
linestyle : string
line style of Bezier curves.
nodesize : int
size of nodes
nodekwargs : dict
any additional kwargs for matplotlib.plt.scatter for the nodes
edgekwargs : dict
any additional kwargs for matplotlib.plt.plots for the edges
Returns
---------
ax : axis handle of slice graph
Examples
---------
Create a network with some metadata
>>> import numpy as np
>>> import teneto
>>> import matplotlib.pyplot as plt
>>> np.random.seed(2017) # For reproduceability
>>> N = 5 # Number of nodes
>>> T = 10 # Number of timepoints
>>> # Probability of edge activation
>>> birth_rate = 0.2
>>> death_rate = .9
>>> # Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
>>> cfg={}
>>> cfg['Fs'] = 1
>>> cfg['timeunit'] = 'Years'
>>> cfg['t0'] = 2007 #First year in network
>>> cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot'] # Node names
>>> #Generate network
>>> C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
Now this network can be plotted
>>> fig,ax = plt.subplots(figsize=(10,3))
>>> ax = teneto.plot.slice_plot(C, ax, cmap='Pastel2')
>>> plt.tight_layout()
>>> fig.show()
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
np.random.seed(2017) # For reproduceability
N = 5 # Number of nodes
T = 10 # Number of timepoints
# Probability of edge activation
birth_rate = 0.2
death_rate = .9
# Add node names into the network and say time units are years, go 1 year per graphlet and startyear is 2007
cfg={}
cfg['Fs'] = 1
cfg['timeunit'] = 'Years'
cfg['t0'] = 2007 #First year in network
cfg['nodelabels'] = ['Ashley','Blake','Casey','Dylan','Elliot']
#Generate network
C = teneto.generatenetwork.rand_binomial([N,T],[birth_rate, death_rate],'contact','bu',netinfo=cfg)
fig,ax = plt.subplots(figsize=(10,3))
cmap = 'Pastel2'
ax = teneto.plot.slice_plot(C,ax,cmap=cmap)
plt.tight_layout()
fig.show() | [
"r"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/plot/slice_plot.py#L6-L181 | train | r Draws a slice graph and exports axis handles | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(111) + '\x33' + chr(51) + '\x32', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1100011 + 0o14) + chr(0b110100 + 0o1) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(111) + chr(0b100110 + 0o14) + chr(1666 - 1612) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(1294 - 1246) + chr(0b1101111) + chr(51) + chr(0b100101 + 0o16) + chr(1321 - 1266), 0b1000), nzTpIcepk0o8(chr(1751 - 1703) + '\157' + chr(1530 - 1477) + chr(1012 - 961), 0b1000), nzTpIcepk0o8('\060' + chr(0b100001 + 0o116) + chr(51) + chr(0b110101) + chr(0b1010 + 0o54), 13129 - 13121), nzTpIcepk0o8(chr(1488 - 1440) + chr(8551 - 8440) + chr(0b101011 + 0o6) + chr(2273 - 2223) + chr(50), 13727 - 13719), nzTpIcepk0o8(chr(1536 - 1488) + chr(0b1101111) + chr(1911 - 1861) + chr(51) + chr(2618 - 2565), ord("\x08")), nzTpIcepk0o8(chr(0b101 + 0o53) + chr(0b1101111) + chr(125 - 74) + chr(54) + chr(0b110100), 0b1000), nzTpIcepk0o8('\060' + chr(0b1011100 + 0o23) + chr(0b11001 + 0o30) + '\063' + '\062', 60624 - 60616), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1000000 + 0o57) + chr(0b1001 + 0o51) + chr(50), 45843 - 45835), nzTpIcepk0o8('\x30' + chr(111) + chr(866 - 811) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\x6f' + '\x31' + '\x36' + '\064', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b101000 + 0o107) + '\x31' + '\x36' + chr(1667 - 1612), 31604 - 31596), nzTpIcepk0o8(chr(790 - 742) + '\157' + '\x33' + '\060' + '\x30', 23864 - 23856), nzTpIcepk0o8('\x30' + chr(0b1011111 + 0o20) + '\x31' + chr(50) + chr(52), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b1101 + 0o46) + chr(0b1011 + 0o52) + '\x34', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\063' + chr(0b110100), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110011) + chr(0b101110 + 0o2) + chr(1075 - 1023), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(52) + chr(1642 - 1591), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1011 + 0o144) + '\062' + chr(0b110011) + '\065', 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b11001 + 0o30) + chr(0b10110 + 0o40) + chr(1939 - 1891), 0o10), nzTpIcepk0o8('\060' + chr(0b100010 + 0o115) + chr(2360 - 2309) + chr(54) + chr(52), 8), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + chr(0b110011) + chr(55), 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(0b100111 + 0o12) + chr(0b100111 + 0o20), 51221 - 51213), nzTpIcepk0o8(chr(1048 - 1000) + chr(111) + '\x31' + chr(2103 - 2053) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(11163 - 11052) + chr(0b110001 + 0o1) + chr(52) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(111) + chr(1950 - 1900) + '\x37' + chr(0b101110 + 0o2), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b10 + 0o56) + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(629 - 574) + chr(0b1110 + 0o46), 0o10), nzTpIcepk0o8(chr(735 - 687) + '\157' + chr(0b1110 + 0o43) + '\064' + chr(1491 - 1440), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(1432 - 1382) + chr(0b1 + 0o57), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x35' + chr(998 - 943), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(904 - 854) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(2016 - 1968) + '\157' + '\066' + chr(0b10011 + 0o40), 0b1000), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(111) + chr(2229 - 2179) + chr(50) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(2252 - 2204) + chr(111) + '\x33' + chr(0b11 + 0o60) + '\x34', ord("\x08")), nzTpIcepk0o8('\x30' + chr(9599 - 9488) + '\061' + chr(54) + chr(2316 - 2263), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b101 + 0o56) + '\060' + chr(0b110001 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(671 - 623) + '\x6f' + chr(0b11100 + 0o32) + '\x30', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x35' + '\x30', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xf4'), '\144' + '\145' + chr(0b1100011) + chr(111) + '\144' + '\145')(chr(386 - 269) + '\x74' + chr(102) + chr(45) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def wHOrokjaVUUT(i6T3RZXpABN6, ZtB7KOLCW2Hk, peceWFd8zCeQ=None, UGU26qKeqciJ=None, zoiuJtv6Z4HM=None, m0ajBnt0Lzgy=nzTpIcepk0o8(chr(0b10 + 0o56) + '\157' + '\060', 0o10), iRWm_sXhyyNh=nzTpIcepk0o8(chr(48) + '\x6f' + '\x31', 43140 - 43132), GXcYqZxGZEUW=roI3spqORKae(ES5oEprVxulp(b''), '\144' + chr(101) + chr(4690 - 4591) + chr(111) + chr(100) + chr(101))(chr(0b1110000 + 0o5) + chr(116) + chr(102) + chr(0b101101) + '\070'), uOQjmwOyVJkK=roI3spqORKae(ES5oEprVxulp(b'\xb1\x01'), chr(100) + chr(6399 - 6298) + chr(0b111100 + 0o47) + '\x6f' + '\x64' + '\x65')('\165' + chr(3248 - 3132) + '\146' + '\055' + chr(0b111000)), Yd7Rjip5B5Mk=None, VFoip5XnYYgn=nzTpIcepk0o8(chr(151 - 103) + '\157' + chr(0b110001) + '\x34' + chr(52), 0b1000), NJDYRbCMpEUN=None, WTYQoDW8BkPp=None):
bRKqEoZovmfD = dYZ8bkky6RkX(i6T3RZXpABN6)
if bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'\x9d'), chr(6193 - 6093) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100001 + 0o4))('\x75' + '\164' + '\146' + chr(0b10011 + 0o32) + chr(578 - 522)):
i6T3RZXpABN6 = VWj208wHyNiD(i6T3RZXpABN6)
bRKqEoZovmfD = roI3spqORKae(ES5oEprVxulp(b'\x99'), '\144' + chr(0b1100101) + chr(99) + chr(0b101100 + 0o103) + chr(5448 - 5348) + chr(0b1100101))(chr(5468 - 5351) + '\x74' + chr(102) + '\x2d' + '\x38')
UwDIl_oH9ZGj = [nfNqtJL5aRaY(nDF4gVNx0u9Q.Tn6rGr7XTM7t(wgf0sgcu_xPL[nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(10051 - 9940) + chr(0b11110 + 0o22), 8):nzTpIcepk0o8('\060' + '\x6f' + chr(721 - 671), ord("\x08"))]) + wgf0sgcu_xPL[nzTpIcepk0o8('\x30' + '\157' + '\x32', 8)] * i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), '\x64' + '\x65' + chr(0b1001110 + 0o25) + chr(2655 - 2544) + '\x64' + chr(535 - 434))('\165' + '\x74' + chr(1676 - 1574) + chr(0b110 + 0o47) + chr(0b11 + 0o65))][nzTpIcepk0o8(chr(0b110000) + chr(111) + '\060', 8)]) for wgf0sgcu_xPL in i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb9C\xdf\xabJ\x8d&\xee'), chr(0b10011 + 0o121) + chr(0b1001101 + 0o30) + chr(0b1100011) + chr(1335 - 1224) + '\x64' + '\x65')('\165' + chr(0b1110100) + chr(102) + chr(0b10110 + 0o27) + chr(1041 - 985))]]
if peceWFd8zCeQ is not None and ftfygxgFas5X(peceWFd8zCeQ) == i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), chr(6567 - 6467) + chr(0b1100101) + chr(0b101000 + 0o73) + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b111000 + 0o75) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38')][nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b111 + 0o51), 8)]:
pass
elif peceWFd8zCeQ is not None and ftfygxgFas5X(peceWFd8zCeQ) != i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), '\144' + chr(0b1100101) + '\143' + chr(0b1000110 + 0o51) + chr(100) + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(0b11110 + 0o17) + chr(2028 - 1972))][nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xa9\\\xd4\xbcB\x88;\xf8\x90z|T\x10\x12\xe08\x8d~\xa1\x8f\xbd\x1c\x91\xb1(!\xcb\x98\xa6S\x06c\x0fx\\\xe1\xfc\x18\xa4D\xb9D\x91\xb1N\x9a!\xf5\x95*w'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(4747 - 4646))(chr(0b1110101) + '\164' + chr(8003 - 7901) + '\055' + '\070'))
elif peceWFd8zCeQ is None and i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4C\xd5\xbaG\x8f0\xf8\x98)'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(101))(chr(13097 - 12980) + '\164' + chr(0b1100110) + chr(45) + chr(56))] == roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(0b1010011 + 0o22) + '\x63' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(5031 - 4914) + chr(4246 - 4130) + chr(0b1011 + 0o133) + chr(0b101101) + '\x38'):
peceWFd8zCeQ = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(48) + chr(111) + '\061', 8), i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), '\x64' + chr(0b1100101) + chr(6868 - 6769) + chr(111) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(102) + '\x2d' + '\070')][nzTpIcepk0o8(chr(1892 - 1844) + chr(0b1101111) + chr(0b100110 + 0o12), 8)] + nzTpIcepk0o8('\x30' + '\157' + '\061', 8))
else:
peceWFd8zCeQ = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4C\xd5\xbaG\x8f0\xf8\x98)'), '\x64' + '\145' + chr(0b1100011) + '\157' + '\x64' + chr(8342 - 8241))('\x75' + '\164' + chr(0b100110 + 0o100) + chr(45) + chr(87 - 31))]
if UGU26qKeqciJ is not None and ftfygxgFas5X(UGU26qKeqciJ) == i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), chr(0b1100100) + '\x65' + chr(99) + chr(0b100011 + 0o114) + chr(100) + chr(4207 - 4106))('\165' + chr(0b1110100) + chr(2822 - 2720) + chr(0b101100 + 0o1) + '\070')][-nzTpIcepk0o8(chr(0b110000) + chr(4283 - 4172) + '\061', 8)]:
pass
elif UGU26qKeqciJ is not None and ftfygxgFas5X(UGU26qKeqciJ) != i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), chr(7630 - 7530) + chr(6029 - 5928) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(2217 - 2161))][-nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xa9\\\xd4\xbcB\x88;\xf8\x90zfR\x19\x12\xe08\x8d~\xa1\x8f\xbd\x1c\x91\xb1(!\xcb\x98\xa6S\x06c\x0fx\\\xe1\xfc\x18\xa4D\xb9D\x91\xb1N\x9a!\xf5\x95*w'), chr(0b1100100) + chr(101) + chr(0b111000 + 0o53) + chr(0b1101111) + '\144' + chr(0b111010 + 0o53))('\x75' + chr(116) + chr(102) + chr(45) + chr(740 - 684)))
elif UGU26qKeqciJ is None and N9zlRy29S1SS(i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xae\x1c'), chr(100) + chr(4877 - 4776) + chr(99) + chr(111) + chr(0b111010 + 0o52) + chr(101))(chr(12006 - 11889) + chr(0b1010001 + 0o43) + chr(102) + chr(1034 - 989) + chr(56))]) == roI3spqORKae(ES5oEprVxulp(b''), chr(9370 - 9270) + chr(3147 - 3046) + '\x63' + chr(0b110111 + 0o70) + chr(0b1011011 + 0o11) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(0b101001 + 0o17)):
UGU26qKeqciJ = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8), i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), '\144' + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(0b1100 + 0o131))(chr(0b1110101) + '\x74' + '\146' + chr(1170 - 1125) + chr(0b10001 + 0o47))][-nzTpIcepk0o8(chr(48) + '\x6f' + '\x31', 8)] + nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b1111 + 0o42), 8))
else:
UGU26qKeqciJ = nDF4gVNx0u9Q.chmI_GMU_sEi(i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xae\x1c'), chr(100) + chr(1694 - 1593) + chr(0b1100011) + '\x6f' + chr(0b100001 + 0o103) + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(3041 - 2985))], i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\x9c_'), chr(0b101110 + 0o66) + chr(0b1100101) + chr(0b10 + 0o141) + chr(4311 - 4200) + chr(0b1100100) + '\145')(chr(0b100111 + 0o116) + chr(0b10101 + 0o137) + chr(0b1100110) + chr(45) + chr(56))] * i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xacC\x8f"\xf8'), '\x64' + '\x65' + chr(99) + chr(0b1101111) + chr(3253 - 3153) + chr(0b1100101))('\x75' + '\164' + '\146' + chr(1967 - 1922) + chr(1177 - 1121))][-nzTpIcepk0o8('\x30' + chr(111) + '\061', 8)] + i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xae\x1c'), '\x64' + '\x65' + chr(1345 - 1246) + chr(111) + chr(4591 - 4491) + '\145')(chr(3810 - 3693) + chr(5079 - 4963) + chr(7044 - 6942) + '\055' + chr(56))], i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\x9c_'), chr(0b1100100) + '\x65' + chr(7557 - 7458) + chr(0b1101111) + chr(0b1101 + 0o127) + chr(0b1100101))(chr(0b1110101) + chr(1754 - 1638) + '\x66' + '\x2d' + '\x38')])
if GXcYqZxGZEUW is None:
GXcYqZxGZEUW = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xaeE\xdc\xba^\x80;\xe9'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(101))('\x75' + chr(116) + chr(2752 - 2650) + chr(0b101101) + '\x38')]
VerTtAIFO5hX = ftfygxgFas5X(UGU26qKeqciJ)
B4HMMzTn9mnB = ftfygxgFas5X(peceWFd8zCeQ)
ps0ChIddb6Cv = nDF4gVNx0u9Q.tile(H4NoA26ON7iG(bbT2xIe5pzk7(nzTpIcepk0o8(chr(456 - 408) + chr(111) + chr(48), 8), B4HMMzTn9mnB)), VerTtAIFO5hX)
wtrtU8euwW6u = nDF4gVNx0u9Q.repeat(H4NoA26ON7iG(bbT2xIe5pzk7(nzTpIcepk0o8(chr(2188 - 2140) + '\x6f' + chr(0b100010 + 0o16), 8), VerTtAIFO5hX)), B4HMMzTn9mnB)
if NJDYRbCMpEUN is None:
NJDYRbCMpEUN = {}
if WTYQoDW8BkPp is None:
WTYQoDW8BkPp = {}
if Yd7Rjip5B5Mk:
NJDYRbCMpEUN[roI3spqORKae(ES5oEprVxulp(b'\xb9A\xd0\xaf'), '\144' + '\x65' + chr(5149 - 5050) + chr(111) + chr(0b1100100) + chr(0b110101 + 0o60))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(528 - 472))] = Yd7Rjip5B5Mk
if roI3spqORKae(ES5oEprVxulp(b'\xb9'), chr(2076 - 1976) + chr(101) + chr(0b1100011) + chr(0b101100 + 0o103) + chr(100) + chr(101))('\x75' + chr(9539 - 9423) + '\x66' + chr(45) + chr(56)) not in NJDYRbCMpEUN:
NJDYRbCMpEUN[roI3spqORKae(ES5oEprVxulp(b'\xb9'), chr(0b1100100) + chr(101) + chr(99) + chr(7607 - 7496) + chr(0b10001 + 0o123) + chr(101))('\165' + chr(0b1110100) + chr(9218 - 9116) + chr(0b1101 + 0o40) + chr(0b111000))] = ps0ChIddb6Cv
if zoiuJtv6Z4HM is not None:
if ftfygxgFas5X(roI3spqORKae(zoiuJtv6Z4HM, roI3spqORKae(ES5oEprVxulp(b'\xb6D\xd3\x92\x1b\xd7`\xdc\xb2\r*]'), chr(100) + chr(1735 - 1634) + chr(99) + '\157' + chr(0b1100100) + chr(0b1011 + 0o132))('\x75' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'))) == nzTpIcepk0o8(chr(48) + chr(11727 - 11616) + '\061', 8):
NJDYRbCMpEUN[roI3spqORKae(ES5oEprVxulp(b'\xb9'), '\144' + chr(101) + chr(5738 - 5639) + chr(0b1000001 + 0o56) + chr(100) + chr(6997 - 6896))('\165' + '\164' + '\x66' + chr(0b101101) + '\070')] = nDF4gVNx0u9Q.tile(zoiuJtv6Z4HM, VerTtAIFO5hX)
else:
NJDYRbCMpEUN[roI3spqORKae(ES5oEprVxulp(b'\xb9'), '\144' + '\145' + '\x63' + chr(0b111110 + 0o61) + chr(0b11100 + 0o110) + chr(0b1100101))(chr(0b1110101) + chr(0b1100001 + 0o23) + chr(0b1000101 + 0o41) + chr(0b10010 + 0o33) + chr(56))] = zoiuJtv6Z4HM.flatten(order=roI3spqORKae(ES5oEprVxulp(b'\x9c'), chr(0b10100 + 0o120) + chr(101) + chr(0b1000001 + 0o42) + chr(0b10001 + 0o136) + '\x64' + '\x65')('\x75' + '\164' + chr(102) + chr(1329 - 1284) + chr(0b11111 + 0o31)))
for (FT6a6NKARB4g, gMt_geOSZhSi) in _kV_Bomx8PZ4(UwDIl_oH9ZGj):
if m0ajBnt0Lzgy and i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xb4I\xc5\xabR\x9e7'), chr(7208 - 7108) + chr(101) + chr(99) + chr(0b1001 + 0o146) + '\144' + chr(101))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + chr(56))][nzTpIcepk0o8('\060' + '\157' + chr(904 - 856), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xad'), '\x64' + '\145' + chr(0b1100011) + chr(0b1 + 0o156) + chr(100) + '\x65')(chr(117) + '\x74' + '\146' + chr(45) + '\070'):
WTYQoDW8BkPp[roI3spqORKae(ES5oEprVxulp(b'\xb6E\xdf\xba\\\x876\xe9\x9c'), chr(1502 - 1402) + chr(101) + chr(99) + chr(0b1101111) + chr(2675 - 2575) + chr(101))('\165' + chr(0b1000110 + 0o56) + '\146' + chr(45) + '\x38')] = i6T3RZXpABN6[roI3spqORKae(ES5oEprVxulp(b'\xacM\xdd\xaaN\x9d'), chr(1400 - 1300) + chr(0b1100101) + chr(0b111101 + 0o46) + '\x6f' + '\144' + chr(101))(chr(0b101001 + 0o114) + chr(116) + chr(102) + '\055' + chr(0b111000))][FT6a6NKARB4g] * iRWm_sXhyyNh
(EibuIlKuPc1E, mYduPZj32ixv) = wc8tKwJMzE3b((wtrtU8euwW6u[gMt_geOSZhSi[nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101111) + chr(0b110000), 8)]], ps0ChIddb6Cv[gMt_geOSZhSi[nzTpIcepk0o8(chr(48) + chr(111) + '\060', 8)]]), (wtrtU8euwW6u[gMt_geOSZhSi[nzTpIcepk0o8('\x30' + chr(111) + '\x31', 8)]], ps0ChIddb6Cv[gMt_geOSZhSi[nzTpIcepk0o8('\x30' + '\157' + chr(0b110001), 8)]]), B4HMMzTn9mnB, nzTpIcepk0o8(chr(48) + chr(0b111 + 0o150) + chr(0b110010) + chr(0b110100), 0b1000))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xaa@\xde\xab'), '\x64' + chr(1291 - 1190) + '\143' + chr(0b1101111 + 0o0) + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(8056 - 7954) + chr(0b101 + 0o50) + chr(312 - 256)))(EibuIlKuPc1E, mYduPZj32ixv, uOQjmwOyVJkK, **WTYQoDW8BkPp)
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80R\x9a;\xfe\x9f)'), '\144' + chr(0b11110 + 0o107) + chr(837 - 738) + chr(0b1100001 + 0o16) + '\x64' + chr(0b10101 + 0o120))('\165' + chr(116) + chr(0b1100110) + chr(0b101101) + chr(58 - 2)))(bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b11111 + 0o21) + '\157' + chr(48), 8), ftfygxgFas5X(peceWFd8zCeQ)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80S\x9a;\xfe\x9f)'), chr(0b1100100) + chr(8600 - 8499) + chr(0b1000001 + 0o42) + chr(2892 - 2781) + chr(3016 - 2916) + '\x65')(chr(0b110000 + 0o105) + chr(0b1110100) + '\146' + chr(1590 - 1545) + chr(1619 - 1563)))(bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + '\x6f' + chr(998 - 950), 8), ftfygxgFas5X(UGU26qKeqciJ)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80R\x9a;\xfe\x9f6sY\x11\x1b\xb3'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(100) + '\x65')(chr(8013 - 7896) + chr(13423 - 13307) + '\146' + '\055' + chr(0b100101 + 0o23)))(peceWFd8zCeQ)
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80S\x9a;\xfe\x9f6sY\x11\x1b\xb3'), chr(100) + '\145' + chr(99) + '\x6f' + chr(0b1100001 + 0o3) + chr(101))('\165' + chr(0b1110100) + chr(0b111101 + 0o51) + chr(0b101101) + '\x38'))(UGU26qKeqciJ)
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xbd^\xd8\xbb'), chr(0b110010 + 0o62) + chr(9986 - 9885) + '\x63' + '\157' + chr(100) + chr(101))(chr(0b1110101) + '\x74' + chr(0b1011100 + 0o12) + chr(0b11101 + 0o20) + '\x38'))()
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80M\x9c3\xf0\x91\x05}U'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1011011 + 0o24) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(3653 - 3551) + chr(0b101101) + chr(2775 - 2719)))(nzTpIcepk0o8(chr(882 - 834) + chr(111) + chr(0b110000), 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xaeC\xc1'), chr(0b1011100 + 0o10) + '\x65' + chr(0b10111 + 0o114) + '\x6f' + chr(0b10010 + 0o122) + chr(6629 - 6528))(chr(117) + chr(0b1110100) + chr(5691 - 5589) + chr(1255 - 1210) + chr(56))], roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80]\x87!\xf4\x966w'), '\144' + chr(0b1010000 + 0o25) + chr(0b1001001 + 0o32) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1000011 + 0o62) + chr(116) + chr(102) + chr(0b1 + 0o54) + '\070'))(nzTpIcepk0o8('\060' + '\157' + '\x30', 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'\xa8E\xd6\xb7_'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + '\144' + '\145')(chr(9962 - 9845) + chr(0b1100110 + 0o16) + '\146' + chr(1408 - 1363) + chr(0b111000))], roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80]\x87!\xf4\x966w'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(9743 - 9642))(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000)))(nzTpIcepk0o8(chr(0b110000) + '\157' + '\060', 8))
roI3spqORKae(ZtB7KOLCW2Hk.get_xaxis(), roI3spqORKae(ES5oEprVxulp(b'\xaeE\xd2\xb4t\x8c=\xe9\x805\x7f'), '\x64' + chr(101) + chr(0b100001 + 0o102) + chr(0b1101111) + chr(2595 - 2495) + '\145')(chr(5494 - 5377) + '\x74' + chr(0b1010000 + 0o26) + chr(0b101101) + chr(315 - 259)))()
roI3spqORKae(ZtB7KOLCW2Hk.get_yaxis(), roI3spqORKae(ES5oEprVxulp(b'\xaeE\xd2\xb4t\x827\xfb\x80'), chr(904 - 804) + chr(0b1011001 + 0o14) + chr(0b1011100 + 0o7) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(0b111001 + 0o73) + chr(4444 - 4342) + chr(0b100 + 0o51) + chr(0b111000)))()
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80S\x82;\xf0'), '\144' + chr(2731 - 2630) + chr(7172 - 7073) + '\157' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + chr(8062 - 7960) + '\055' + '\x38'))([XURpmPuEWCNF(wtrtU8euwW6u) - nzTpIcepk0o8(chr(0b110000) + chr(11496 - 11385) + '\x31', 8), KV9ckIhroIia(wtrtU8euwW6u) + nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\061', 8)])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80R\x82;\xf0'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1100100 + 0o13) + chr(100) + chr(0b1100101))('\165' + '\164' + chr(0b1100101 + 0o1) + chr(45) + '\070'))([XURpmPuEWCNF(ps0ChIddb6Cv) - nzTpIcepk0o8(chr(1236 - 1188) + '\157' + chr(1669 - 1620), 8), KV9ckIhroIia(ps0ChIddb6Cv) + nzTpIcepk0o8('\060' + chr(5898 - 5787) + chr(0b110000 + 0o1), 8)])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9O\xd0\xab_\x8b '), chr(2684 - 2584) + chr(5719 - 5618) + '\143' + chr(111) + chr(100) + chr(2474 - 2373))('\165' + chr(0b1111 + 0o145) + chr(102) + chr(1811 - 1766) + chr(56)))(wtrtU8euwW6u, ps0ChIddb6Cv, s=VFoip5XnYYgn, zorder=nzTpIcepk0o8(chr(1900 - 1852) + '\x6f' + chr(2085 - 2036) + '\062', 0o10), **NJDYRbCMpEUN)
if GXcYqZxGZEUW != roI3spqORKae(ES5oEprVxulp(b''), chr(0b1001000 + 0o34) + '\145' + chr(99) + chr(0b1101111) + '\144' + '\145')('\165' + chr(116) + chr(1779 - 1677) + chr(0b101101) + '\070'):
GXcYqZxGZEUW = roI3spqORKae(ES5oEprVxulp(b'\xfa\x04'), chr(0b111 + 0o135) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b111011 + 0o52))(chr(2622 - 2505) + chr(7168 - 7052) + chr(0b1100110) + chr(0b101101) + chr(2920 - 2864)) + GXcYqZxGZEUW + roI3spqORKae(ES5oEprVxulp(b'\xf3'), '\144' + chr(8761 - 8660) + '\143' + chr(0b101011 + 0o104) + chr(0b1100100) + '\145')(chr(0b10 + 0o163) + chr(0b1011100 + 0o30) + '\x66' + '\055' + chr(56))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\xa9I\xc5\x80S\x823\xff\x916'), '\144' + chr(101) + chr(671 - 572) + '\157' + '\x64' + chr(4338 - 4237))(chr(3328 - 3211) + chr(0b1110100) + chr(102) + chr(724 - 679) + chr(0b1100 + 0o54)))(roI3spqORKae(ES5oEprVxulp(b'\x8eE\xdc\xba'), '\144' + chr(0b110010 + 0o63) + chr(0b110111 + 0o54) + chr(0b1001011 + 0o44) + chr(0b11100 + 0o110) + chr(498 - 397))('\165' + chr(8142 - 8026) + chr(102) + '\055' + chr(56)) + GXcYqZxGZEUW)
return ZtB7KOLCW2Hk |
wiheto/teneto | teneto/networkmeasures/local_variation.py | local_variation | def local_variation(data):
r"""
Calculates the local variaiont of inter-contact times. [LV-1]_, [LV-2]_
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
Returns
-------
LV : array
Local variation per edge.
Notes
------
The local variation is like the bursty coefficient and quantifies if a series of inter-contact times are periodic, random or Poisson distributed or bursty.
It is defined as:
.. math:: LV = {3 \over {n-1}}\sum_{i=1}^{n-1}{{{\iota_i - \iota_{i+1}} \over {\iota_i + \iota_{i+1}}}^2}
Where :math:`\iota` are inter-contact times and i is the index of the inter-contact time (not a node index). n is the number of events, making n-1 the number of inter-contact times.
The possible range is: :math:`0 \geq LV \gt 3`.
When periodic, LV=0, Poisson, LV=1 Larger LVs indicate bursty process.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
Now we call local variation for each edge.
>>> LV_periodic = teneto.networkmeasures.local_variation(G_periodic)
>>> LV_periodic
array([[nan, 0.],
[ 0., nan]])
Above we can see that between node 0 and 1, LV=0 (the diagonal is nan).
This is indicative of a periodic contacts (which is what we defined).
Doing the same for the second example:
>>> LV_bursty = teneto.networkmeasures.local_variation(G_bursty)
>>> LV_bursty
array([[ nan, 1.28748748],
[1.28748748, nan]])
When the value is greater than 1, it indicates a bursty process.
nans are returned if there are no intercontacttimes
References
----------
.. [LV-1] Shinomoto et al (2003) Differences in spiking patterns among cortical neurons. Neural Computation 15.12 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/089976603322518759>`_]
.. [LV-2] Followed eq., 4.34 in Masuda N & Lambiotte (2016) A guide to temporal networks. World Scientific. Series on Complex Networks. Vol 4 [`Link <https://www.worldscientific.com/doi/abs/10.1142/9781786341150_0001>`_]
"""
ict = 0 # are ict present
if isinstance(data, dict):
# This could be done better
if [k for k in list(data.keys()) if k == 'intercontacttimes'] == ['intercontacttimes']:
ict = 1
# if shortest paths are not calculated, calculate them
if ict == 0:
data = intercontacttimes(data)
if data['nettype'][1] == 'u':
ind = np.triu_indices(data['intercontacttimes'].shape[0], k=1)
if data['nettype'][1] == 'd':
triu = np.triu_indices(data['intercontacttimes'].shape[0], k=1)
tril = np.tril_indices(data['intercontacttimes'].shape[0], k=-1)
ind = [[], []]
ind[0] = np.concatenate([tril[0], triu[0]])
ind[1] = np.concatenate([tril[1], triu[1]])
ind = tuple(ind)
ict_shape = data['intercontacttimes'].shape
lv = np.zeros(ict_shape)
for n in range(len(ind[0])):
icts = data['intercontacttimes'][ind[0][n], ind[1][n]]
# make sure there is some contact
if len(icts) > 0:
lv_nonnorm = np.sum(
np.power((icts[:-1] - icts[1:]) / (icts[:-1] + icts[1:]), 2))
lv[ind[0][n], ind[1][n]] = (3/len(icts)) * lv_nonnorm
else:
lv[ind[0][n], ind[1][n]] = np.nan
# Make symetric if undirected
if data['nettype'][1] == 'u':
lv = lv + lv.transpose()
for n in range(lv.shape[0]):
lv[n, n] = np.nan
return lv | python | def local_variation(data):
r"""
Calculates the local variaiont of inter-contact times. [LV-1]_, [LV-2]_
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
Returns
-------
LV : array
Local variation per edge.
Notes
------
The local variation is like the bursty coefficient and quantifies if a series of inter-contact times are periodic, random or Poisson distributed or bursty.
It is defined as:
.. math:: LV = {3 \over {n-1}}\sum_{i=1}^{n-1}{{{\iota_i - \iota_{i+1}} \over {\iota_i + \iota_{i+1}}}^2}
Where :math:`\iota` are inter-contact times and i is the index of the inter-contact time (not a node index). n is the number of events, making n-1 the number of inter-contact times.
The possible range is: :math:`0 \geq LV \gt 3`.
When periodic, LV=0, Poisson, LV=1 Larger LVs indicate bursty process.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
Now we call local variation for each edge.
>>> LV_periodic = teneto.networkmeasures.local_variation(G_periodic)
>>> LV_periodic
array([[nan, 0.],
[ 0., nan]])
Above we can see that between node 0 and 1, LV=0 (the diagonal is nan).
This is indicative of a periodic contacts (which is what we defined).
Doing the same for the second example:
>>> LV_bursty = teneto.networkmeasures.local_variation(G_bursty)
>>> LV_bursty
array([[ nan, 1.28748748],
[1.28748748, nan]])
When the value is greater than 1, it indicates a bursty process.
nans are returned if there are no intercontacttimes
References
----------
.. [LV-1] Shinomoto et al (2003) Differences in spiking patterns among cortical neurons. Neural Computation 15.12 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/089976603322518759>`_]
.. [LV-2] Followed eq., 4.34 in Masuda N & Lambiotte (2016) A guide to temporal networks. World Scientific. Series on Complex Networks. Vol 4 [`Link <https://www.worldscientific.com/doi/abs/10.1142/9781786341150_0001>`_]
"""
ict = 0 # are ict present
if isinstance(data, dict):
# This could be done better
if [k for k in list(data.keys()) if k == 'intercontacttimes'] == ['intercontacttimes']:
ict = 1
# if shortest paths are not calculated, calculate them
if ict == 0:
data = intercontacttimes(data)
if data['nettype'][1] == 'u':
ind = np.triu_indices(data['intercontacttimes'].shape[0], k=1)
if data['nettype'][1] == 'd':
triu = np.triu_indices(data['intercontacttimes'].shape[0], k=1)
tril = np.tril_indices(data['intercontacttimes'].shape[0], k=-1)
ind = [[], []]
ind[0] = np.concatenate([tril[0], triu[0]])
ind[1] = np.concatenate([tril[1], triu[1]])
ind = tuple(ind)
ict_shape = data['intercontacttimes'].shape
lv = np.zeros(ict_shape)
for n in range(len(ind[0])):
icts = data['intercontacttimes'][ind[0][n], ind[1][n]]
# make sure there is some contact
if len(icts) > 0:
lv_nonnorm = np.sum(
np.power((icts[:-1] - icts[1:]) / (icts[:-1] + icts[1:]), 2))
lv[ind[0][n], ind[1][n]] = (3/len(icts)) * lv_nonnorm
else:
lv[ind[0][n], ind[1][n]] = np.nan
# Make symetric if undirected
if data['nettype'][1] == 'u':
lv = lv + lv.transpose()
for n in range(lv.shape[0]):
lv[n, n] = np.nan
return lv | [
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Calculates the local variaiont of inter-contact times. [LV-1]_, [LV-2]_
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
Returns
-------
LV : array
Local variation per edge.
Notes
------
The local variation is like the bursty coefficient and quantifies if a series of inter-contact times are periodic, random or Poisson distributed or bursty.
It is defined as:
.. math:: LV = {3 \over {n-1}}\sum_{i=1}^{n-1}{{{\iota_i - \iota_{i+1}} \over {\iota_i + \iota_{i+1}}}^2}
Where :math:`\iota` are inter-contact times and i is the index of the inter-contact time (not a node index). n is the number of events, making n-1 the number of inter-contact times.
The possible range is: :math:`0 \geq LV \gt 3`.
When periodic, LV=0, Poisson, LV=1 Larger LVs indicate bursty process.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
Now we call local variation for each edge.
>>> LV_periodic = teneto.networkmeasures.local_variation(G_periodic)
>>> LV_periodic
array([[nan, 0.],
[ 0., nan]])
Above we can see that between node 0 and 1, LV=0 (the diagonal is nan).
This is indicative of a periodic contacts (which is what we defined).
Doing the same for the second example:
>>> LV_bursty = teneto.networkmeasures.local_variation(G_bursty)
>>> LV_bursty
array([[ nan, 1.28748748],
[1.28748748, nan]])
When the value is greater than 1, it indicates a bursty process.
nans are returned if there are no intercontacttimes
References
----------
.. [LV-1] Shinomoto et al (2003) Differences in spiking patterns among cortical neurons. Neural Computation 15.12 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/089976603322518759>`_]
.. [LV-2] Followed eq., 4.34 in Masuda N & Lambiotte (2016) A guide to temporal networks. World Scientific. Series on Complex Networks. Vol 4 [`Link <https://www.worldscientific.com/doi/abs/10.1142/9781786341150_0001>`_] | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/local_variation.py#L9-L131 | train | r Calculates the local variation of the given data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\x6f' + chr(0b1010 + 0o50) + chr(48) + '\x30', 48498 - 48490), nzTpIcepk0o8(chr(0b110000) + chr(5521 - 5410) + chr(0b110011) + '\x32' + chr(55), 0o10), nzTpIcepk0o8(chr(0b11000 + 0o30) + chr(0b1101 + 0o142) + chr(0b1001 + 0o50) + chr(0b110111) + chr(0b101101 + 0o7), 0o10), nzTpIcepk0o8(chr(824 - 776) + chr(0b1100111 + 0o10) + '\062' + chr(0b1011 + 0o50) + chr(0b110101), 0b1000), nzTpIcepk0o8('\x30' + chr(8677 - 8566) + chr(0b110011) + chr(1290 - 1238) + '\x30', 0o10), nzTpIcepk0o8(chr(1695 - 1647) + chr(0b1000 + 0o147) + chr(0b110011) + chr(717 - 669) + '\063', 0o10), nzTpIcepk0o8(chr(48) + chr(2995 - 2884) + '\x35' + chr(1809 - 1754), 0o10), nzTpIcepk0o8(chr(186 - 138) + chr(111) + chr(51) + '\061' + chr(55), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + '\x36' + chr(1815 - 1763), 0b1000), nzTpIcepk0o8(chr(48) + chr(5574 - 5463) + chr(0b110000 + 0o2) + chr(53) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(0b11 + 0o55) + '\157' + chr(50) + chr(49) + '\064', 60779 - 60771), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + '\x36' + chr(55), 60162 - 60154), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\066' + chr(51), 22609 - 22601), nzTpIcepk0o8(chr(0b110000) + chr(0b1100101 + 0o12) + chr(0b110011) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(111) + chr(0b11110 + 0o23) + chr(0b100101 + 0o20) + chr(662 - 607), 0o10), nzTpIcepk0o8('\060' + '\157' + '\061' + '\x31' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(760 - 708) + chr(2267 - 2212), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + chr(55), 893 - 885), nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + chr(2034 - 1984) + '\063' + chr(511 - 460), 0b1000), nzTpIcepk0o8(chr(0b10011 + 0o35) + '\157' + chr(49) + chr(0b101010 + 0o10) + chr(0b11010 + 0o35), 0b1000), nzTpIcepk0o8('\x30' + chr(0b101101 + 0o102) + '\x31' + chr(1806 - 1754), ord("\x08")), nzTpIcepk0o8(chr(923 - 875) + '\157' + chr(51) + chr(49) + chr(0b100011 + 0o20), 0b1000), nzTpIcepk0o8(chr(2302 - 2254) + chr(0b1101011 + 0o4) + chr(0b1001 + 0o51) + '\x37', 8), nzTpIcepk0o8(chr(0b0 + 0o60) + '\157' + '\062' + '\x30' + '\064', 33265 - 33257), nzTpIcepk0o8('\x30' + chr(5138 - 5027) + '\x37' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b1100000 + 0o17) + '\x36' + '\x31', 1458 - 1450), nzTpIcepk0o8('\060' + chr(111) + '\062' + '\x35' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\x6f' + chr(0b100101 + 0o14) + chr(1570 - 1515), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b11111 + 0o120) + chr(893 - 842) + chr(1993 - 1942) + '\x31', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1100101 + 0o12) + chr(1175 - 1126) + '\066', 65385 - 65377), nzTpIcepk0o8(chr(1975 - 1927) + chr(11434 - 11323) + chr(0b11010 + 0o30) + '\x32' + '\x37', 6809 - 6801), nzTpIcepk0o8('\060' + chr(0b101101 + 0o102) + chr(49) + '\x37' + '\x37', 55151 - 55143), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1259 - 1207) + chr(52), 15003 - 14995), nzTpIcepk0o8('\x30' + '\157' + chr(222 - 172) + '\066' + '\063', 26456 - 26448), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + '\x35' + '\064', 0o10), nzTpIcepk0o8(chr(1568 - 1520) + '\x6f' + chr(286 - 236) + chr(49) + chr(0b10 + 0o56), 0o10), nzTpIcepk0o8(chr(151 - 103) + chr(0b1101111) + '\x32' + chr(50) + '\x36', 0o10), nzTpIcepk0o8(chr(2274 - 2226) + chr(0b1101111) + chr(55) + '\x32', 50843 - 50835), nzTpIcepk0o8(chr(500 - 452) + chr(0b1011100 + 0o23) + '\x32' + '\x34' + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001) + chr(50) + chr(0b110101), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b0 + 0o157) + chr(0b10001 + 0o44) + '\060', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xae'), chr(2885 - 2785) + chr(101) + chr(0b1011010 + 0o11) + chr(9207 - 9096) + chr(0b110011 + 0o61) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b1111 + 0o36) + chr(2672 - 2616)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def OzSTjXU7wTJM(FfKOThdpoDTb):
C82J6faOUNrQ = nzTpIcepk0o8('\x30' + chr(4748 - 4637) + chr(0b101010 + 0o6), 58824 - 58816)
if suIjIS24Zkqw(FfKOThdpoDTb, znjnJWK64FDT):
if [B6UAF1zReOyJ for B6UAF1zReOyJ in H4NoA26ON7iG(roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'\xeb\xb2\x05\xee'), chr(100) + chr(9402 - 9301) + chr(99) + chr(111) + '\144' + '\x65')('\165' + chr(0b1111 + 0o145) + chr(0b1000110 + 0o40) + '\x2d' + chr(56)))()) if B6UAF1zReOyJ == roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(8473 - 8373) + chr(2830 - 2729) + '\143' + chr(0b1011001 + 0o26) + '\x64' + chr(0b100001 + 0o104))('\165' + '\164' + chr(0b1100110) + chr(0b101101 + 0o0) + chr(0b1111 + 0o51))] == [roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11980 - 11863) + chr(12546 - 12430) + '\146' + chr(588 - 543) + '\x38')]:
C82J6faOUNrQ = nzTpIcepk0o8('\060' + '\x6f' + '\061', 0o10)
if C82J6faOUNrQ == nzTpIcepk0o8(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b110000), 8):
FfKOThdpoDTb = ThYnc0_3rIPv(FfKOThdpoDTb)
if FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xee\xb2\x08\xe9\x99\xb3J'), chr(2331 - 2231) + chr(0b11011 + 0o112) + chr(0b1100011) + '\x6f' + chr(100) + '\145')('\165' + '\164' + chr(9711 - 9609) + chr(45) + '\x38')][nzTpIcepk0o8(chr(0b110000) + chr(0b1011000 + 0o27) + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xf5'), chr(1138 - 1038) + chr(0b0 + 0o145) + chr(99) + chr(0b1101111) + '\144' + chr(0b1001001 + 0o34))(chr(0b1110101) + chr(6801 - 6685) + '\146' + '\055' + '\070'):
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(0b10110 + 0o116) + '\145' + chr(8490 - 8391) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + '\x38')].lhbM092AFW8f[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110000), 8)], k=nzTpIcepk0o8('\060' + chr(111) + chr(0b100100 + 0o15), 8))
if FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xee\xb2\x08\xe9\x99\xb3J'), chr(3714 - 3614) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\145')('\165' + '\164' + chr(0b1100110) + '\055' + '\x38')][nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xe4'), '\144' + chr(101) + chr(0b1100011) + '\157' + '\x64' + '\145')(chr(7963 - 7846) + '\164' + chr(102) + '\055' + '\070'):
TBKWC_KytB34 = nDF4gVNx0u9Q.yY6ThOiDnTjT(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(0b1100100) + chr(0b10101 + 0o120) + chr(0b1000011 + 0o40) + '\x6f' + chr(3519 - 3419) + chr(0b1100101))(chr(0b1110000 + 0o5) + chr(0b1110100) + '\146' + chr(45) + '\x38')].lhbM092AFW8f[nzTpIcepk0o8(chr(1598 - 1550) + '\x6f' + '\x30', 8)], k=nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b1011011 + 0o24) + chr(0b110001), 8))
GToybaJguBLh = nDF4gVNx0u9Q.kE1_yhEnb8Kw(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(5264 - 5164) + '\145' + '\143' + chr(0b1101111) + '\x64' + chr(2637 - 2536))(chr(0b1110101) + chr(116) + '\x66' + chr(0b11101 + 0o20) + '\070')].lhbM092AFW8f[nzTpIcepk0o8('\x30' + '\157' + chr(1813 - 1765), 8)], k=-nzTpIcepk0o8(chr(0b110000) + chr(0b1000100 + 0o53) + '\061', 8))
w5vcgUzFN3bF = [[], []]
w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(8372 - 8261) + chr(668 - 620), 8)] = nDF4gVNx0u9Q.concatenate([GToybaJguBLh[nzTpIcepk0o8(chr(48) + '\157' + '\x30', 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110000), 8)]])
w5vcgUzFN3bF[nzTpIcepk0o8(chr(2154 - 2106) + chr(111) + '\x31', 8)] = nDF4gVNx0u9Q.concatenate([GToybaJguBLh[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001), 8)], TBKWC_KytB34[nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b101010 + 0o7), 8)]])
w5vcgUzFN3bF = nfNqtJL5aRaY(w5vcgUzFN3bF)
jnBhi3fFDXwa = FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), chr(1889 - 1789) + chr(0b1100101) + chr(1554 - 1455) + '\x6f' + chr(100) + chr(0b100111 + 0o76))(chr(10136 - 10019) + '\x74' + chr(102) + chr(0b101101) + chr(659 - 603))].lhbM092AFW8f
IX9xj7MBOoEQ = nDF4gVNx0u9Q.UmwwEp7MzR6q(jnBhi3fFDXwa)
for NoZxuO7wjArS in bbT2xIe5pzk7(ftfygxgFas5X(w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(4119 - 4008) + chr(0b100100 + 0o14), 8)])):
rnq2cqbLqSKU = FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xe9\xb9\x08\xf8\x92\xa0@\xa1\xc0\xcb\xef\x03Gt\x02.T'), '\x64' + chr(6710 - 6609) + chr(9764 - 9665) + '\x6f' + chr(100) + '\145')(chr(0b1001 + 0o154) + '\164' + chr(102) + '\055' + '\070')][w5vcgUzFN3bF[nzTpIcepk0o8('\060' + chr(252 - 141) + chr(0b110000), 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(5896 - 5785) + '\x31', 8)][NoZxuO7wjArS]]
if ftfygxgFas5X(rnq2cqbLqSKU) > nzTpIcepk0o8('\060' + '\157' + chr(0b110000), 8):
Rf_a1RDfmhjN = nDF4gVNx0u9Q.oclC8DLjA_lV(nDF4gVNx0u9Q.power((rnq2cqbLqSKU[:-nzTpIcepk0o8('\x30' + '\157' + chr(49), 8)] - rnq2cqbLqSKU[nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + '\061', 8):]) / (rnq2cqbLqSKU[:-nzTpIcepk0o8(chr(48) + '\157' + '\061', 8)] + rnq2cqbLqSKU[nzTpIcepk0o8(chr(1371 - 1323) + '\x6f' + '\x31', 8):]), nzTpIcepk0o8('\060' + chr(0b10 + 0o155) + chr(2045 - 1995), 16145 - 16137)))
IX9xj7MBOoEQ[w5vcgUzFN3bF[nzTpIcepk0o8('\x30' + '\x6f' + '\060', 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(1747 - 1699) + '\x6f' + '\061', 8)][NoZxuO7wjArS]] = nzTpIcepk0o8('\060' + chr(0b1010111 + 0o30) + chr(0b110011), ord("\x08")) / ftfygxgFas5X(rnq2cqbLqSKU) * Rf_a1RDfmhjN
else:
IX9xj7MBOoEQ[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(48), 8)][NoZxuO7wjArS], w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + '\157' + '\x31', 8)][NoZxuO7wjArS]] = nDF4gVNx0u9Q.nan
if FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xee\xb2\x08\xe9\x99\xb3J'), chr(0b1100100) + '\145' + chr(7576 - 7477) + '\x6f' + chr(9978 - 9878) + chr(101))('\165' + chr(0b1110100) + chr(8997 - 8895) + '\055' + '\x38')][nzTpIcepk0o8(chr(0b110000) + chr(0b1000010 + 0o55) + chr(49), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xf5'), chr(0b10 + 0o142) + chr(0b1100100 + 0o1) + chr(99) + chr(0b1101111) + chr(100) + '\145')(chr(117) + chr(116) + '\x66' + chr(0b101101) + chr(1284 - 1228)):
IX9xj7MBOoEQ = IX9xj7MBOoEQ + IX9xj7MBOoEQ.transpose()
for NoZxuO7wjArS in bbT2xIe5pzk7(roI3spqORKae(IX9xj7MBOoEQ, roI3spqORKae(ES5oEprVxulp(b'\xec\xbf\x1e\xd0\xd0\xfa\x1d\x8e\xf2\xfd\xb4\x11'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b1100000 + 0o5))('\165' + chr(0b1110100) + chr(0b101110 + 0o70) + chr(0b101100 + 0o1) + '\070'))[nzTpIcepk0o8('\060' + chr(0b1101111) + chr(712 - 664), 8)]):
IX9xj7MBOoEQ[NoZxuO7wjArS, NoZxuO7wjArS] = nDF4gVNx0u9Q.nan
return IX9xj7MBOoEQ |
wiheto/teneto | teneto/utils/bidsutils.py | drop_bids_suffix | def drop_bids_suffix(fname):
"""
Given a filename sub-01_run-01_preproc.nii.gz, it will return ['sub-01_run-01', '.nii.gz']
Parameters
----------
fname : str
BIDS filename with suffice. Directories should not be included.
Returns
-------
fname_head : str
BIDS filename with
fileformat : str
The file format (text after suffix)
Note
------
This assumes that there are no periods in the filename
"""
if '/' in fname:
split = fname.split('/')
dirnames = '/'.join(split[:-1]) + '/'
fname = split[-1]
else:
dirnames = ''
tags = [tag for tag in fname.split('_') if '-' in tag]
fname_head = '_'.join(tags)
fileformat = '.' + '.'.join(fname.split('.')[1:])
return dirnames + fname_head, fileformat | python | def drop_bids_suffix(fname):
"""
Given a filename sub-01_run-01_preproc.nii.gz, it will return ['sub-01_run-01', '.nii.gz']
Parameters
----------
fname : str
BIDS filename with suffice. Directories should not be included.
Returns
-------
fname_head : str
BIDS filename with
fileformat : str
The file format (text after suffix)
Note
------
This assumes that there are no periods in the filename
"""
if '/' in fname:
split = fname.split('/')
dirnames = '/'.join(split[:-1]) + '/'
fname = split[-1]
else:
dirnames = ''
tags = [tag for tag in fname.split('_') if '-' in tag]
fname_head = '_'.join(tags)
fileformat = '.' + '.'.join(fname.split('.')[1:])
return dirnames + fname_head, fileformat | [
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Parameters
----------
fname : str
BIDS filename with suffice. Directories should not be included.
Returns
-------
fname_head : str
BIDS filename with
fileformat : str
The file format (text after suffix)
Note
------
This assumes that there are no periods in the filename | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/bidsutils.py#L24-L54 | train | Given a filename sub - 01_run - 01. gz it will return a list of filenames with the suffix. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + chr(96 - 45) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(4626 - 4515) + chr(2541 - 2490) + chr(0b110000) + '\063', 13202 - 13194), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(586 - 475) + chr(0b100111 + 0o12) + '\065' + chr(0b110011), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(52) + chr(54), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110100) + '\065', 22283 - 22275), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + '\x32' + chr(0b110001) + chr(0b110100), 0o10), nzTpIcepk0o8('\060' + chr(6308 - 6197) + chr(0b100001 + 0o20) + chr(0b110000 + 0o3) + chr(2004 - 1955), 638 - 630), nzTpIcepk0o8(chr(0b0 + 0o60) + '\x6f' + chr(0b101110 + 0o5) + '\x33' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1101 + 0o46) + chr(1222 - 1174) + chr(51), 8), nzTpIcepk0o8(chr(1366 - 1318) + chr(0b11010 + 0o125) + '\x31' + chr(2122 - 2068) + chr(0b110010), 19736 - 19728), nzTpIcepk0o8('\x30' + chr(0b1011 + 0o144) + chr(0b110101) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1348 - 1297) + '\x35' + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49) + chr(0b100011 + 0o20), 18321 - 18313), nzTpIcepk0o8(chr(1424 - 1376) + chr(111) + '\x32' + chr(0b110001) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b1 + 0o57) + '\x6f' + chr(0b100011 + 0o20) + chr(1064 - 1012) + '\x35', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + '\x33' + '\067', 39435 - 39427), nzTpIcepk0o8(chr(943 - 895) + chr(4133 - 4022) + '\x31' + chr(53) + chr(55), 52944 - 52936), nzTpIcepk0o8(chr(0b110000) + chr(6901 - 6790) + chr(0b110011), 53264 - 53256), nzTpIcepk0o8(chr(48) + '\157' + chr(0b100101 + 0o14) + '\064' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(875 - 827) + chr(0b100010 + 0o115) + '\061' + '\064' + chr(894 - 843), 8), nzTpIcepk0o8(chr(48) + chr(2471 - 2360) + chr(0b110001) + '\x36' + chr(476 - 428), 2295 - 2287), nzTpIcepk0o8(chr(881 - 833) + chr(0b1101111) + chr(0b110001) + chr(0b101100 + 0o7) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(1022 - 974) + '\157' + chr(49) + chr(52) + chr(0b100000 + 0o27), 0o10), nzTpIcepk0o8(chr(1089 - 1041) + chr(0b1001001 + 0o46) + chr(0b110010) + chr(0b110000 + 0o5) + chr(55), 35683 - 35675), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\065' + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1101111) + chr(0b110010) + '\x34' + chr(0b110111), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(1628 - 1577) + chr(0b110101), 60325 - 60317), nzTpIcepk0o8(chr(1124 - 1076) + chr(0b1101111) + chr(0b10000 + 0o42) + '\063' + chr(0b11001 + 0o31), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110011) + '\x33' + chr(52), 23056 - 23048), nzTpIcepk0o8('\x30' + '\157' + chr(1048 - 999) + chr(1662 - 1609) + chr(48), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + '\x30' + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b111 + 0o53) + chr(1892 - 1838), ord("\x08")), nzTpIcepk0o8('\x30' + chr(7501 - 7390) + chr(83 - 30) + chr(0b110010), 0b1000), nzTpIcepk0o8('\060' + chr(0b1010110 + 0o31) + chr(0b110010) + chr(0b100110 + 0o16) + '\065', 0b1000), nzTpIcepk0o8('\x30' + chr(0b0 + 0o157) + '\x31' + chr(0b110011) + chr(2002 - 1954), 0b1000), nzTpIcepk0o8(chr(153 - 105) + chr(0b1101111) + chr(0b110 + 0o53) + '\062' + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(8934 - 8823) + '\x32' + chr(1802 - 1754) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\062' + chr(53) + chr(0b110111), 8), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(111) + chr(0b110011) + chr(51) + chr(0b110000 + 0o1), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b1 + 0o61) + '\064' + '\x33', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(111) + chr(2796 - 2743) + chr(48), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb3'), '\144' + '\x65' + chr(7674 - 7575) + '\x6f' + chr(0b10101 + 0o117) + chr(8211 - 8110))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def rc3WuU7Dnqt_(jXqxEQuu_5DD):
if roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(871 - 771) + chr(0b1100101))(chr(0b1110101) + chr(9831 - 9715) + chr(4187 - 4085) + chr(0b1100 + 0o41) + chr(0b1110 + 0o52)) in jXqxEQuu_5DD:
LfRrQOxuDvnC = jXqxEQuu_5DD.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(0b1001010 + 0o32) + '\x65')(chr(0b1110101) + chr(0b1000101 + 0o57) + chr(0b101010 + 0o74) + '\x2d' + chr(0b111000)))
KIATV2KkQ1it = roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(0b111 + 0o135) + '\145' + '\143' + chr(343 - 232) + '\144' + '\145')(chr(0b1110011 + 0o2) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)).Y4yM9BcfTCNq(LfRrQOxuDvnC[:-nzTpIcepk0o8(chr(0b10000 + 0o40) + '\157' + '\061', 0b1000)]) + roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(0b1010010 + 0o22) + chr(101) + '\143' + chr(0b110101 + 0o72) + chr(320 - 220) + chr(830 - 729))(chr(0b10110 + 0o137) + chr(0b1110100) + chr(6292 - 6190) + chr(45) + '\x38')
jXqxEQuu_5DD = LfRrQOxuDvnC[-nzTpIcepk0o8('\060' + chr(111) + chr(0b11111 + 0o22), 8)]
else:
KIATV2KkQ1it = roI3spqORKae(ES5oEprVxulp(b''), chr(2281 - 2181) + chr(4427 - 4326) + chr(0b1100011) + chr(0b1101010 + 0o5) + chr(0b100100 + 0o100) + chr(0b10101 + 0o120))('\165' + chr(0b1110100) + chr(0b111111 + 0o47) + '\055' + chr(0b111000))
TFpYP2_05oSC = [A0gVABhHjc3L for A0gVABhHjc3L in jXqxEQuu_5DD.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xc2'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(0b1100011) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(0b100101 + 0o117) + chr(2293 - 2191) + chr(0b10111 + 0o26) + chr(56))) if roI3spqORKae(ES5oEprVxulp(b'\xb0'), '\144' + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)) in A0gVABhHjc3L]
Z4cQi3h5TztS = roI3spqORKae(ES5oEprVxulp(b'\xc2'), '\144' + '\145' + chr(99) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(435 - 379)).Y4yM9BcfTCNq(TFpYP2_05oSC)
OiittUnPrN7p = roI3spqORKae(ES5oEprVxulp(b'\xb3'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(8099 - 7999) + chr(991 - 890))('\165' + '\164' + chr(0b11000 + 0o116) + chr(45) + '\x38') + roI3spqORKae(ES5oEprVxulp(b'\xb3'), chr(100) + chr(101) + chr(0b1100011) + chr(0b111100 + 0o63) + chr(8160 - 8060) + '\x65')('\x75' + '\164' + chr(102) + chr(1254 - 1209) + chr(0b11100 + 0o34)).Y4yM9BcfTCNq(jXqxEQuu_5DD.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xb3'), chr(100) + chr(101) + chr(0b110101 + 0o56) + chr(9760 - 9649) + chr(100) + chr(0b110101 + 0o60))('\165' + '\x74' + chr(0b1100110) + chr(727 - 682) + chr(154 - 98)))[nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001), 8):])
return (KIATV2KkQ1it + Z4cQi3h5TztS, OiittUnPrN7p) |
wiheto/teneto | teneto/utils/bidsutils.py | load_tabular_file | def load_tabular_file(fname, return_meta=False, header=True, index_col=True):
"""
Given a file name loads as a pandas data frame
Parameters
----------
fname : str
file name and path. Must be tsv.
return_meta :
header : bool (default True)
if there is a header in the tsv file, true will use first row in file.
index_col : bool (default None)
if there is an index column in the csv or tsv file, true will use first row in file.
Returns
-------
df : pandas
The loaded file
info : pandas, if return_meta=True
Meta infomration in json file (if specified)
"""
if index_col:
index_col = 0
else:
index_col = None
if header:
header = 0
else:
header = None
df = pd.read_csv(fname, header=header, index_col=index_col, sep='\t')
if return_meta:
json_fname = fname.replace('tsv', 'json')
meta = pd.read_json(json_fname)
return df, meta
else:
return df | python | def load_tabular_file(fname, return_meta=False, header=True, index_col=True):
"""
Given a file name loads as a pandas data frame
Parameters
----------
fname : str
file name and path. Must be tsv.
return_meta :
header : bool (default True)
if there is a header in the tsv file, true will use first row in file.
index_col : bool (default None)
if there is an index column in the csv or tsv file, true will use first row in file.
Returns
-------
df : pandas
The loaded file
info : pandas, if return_meta=True
Meta infomration in json file (if specified)
"""
if index_col:
index_col = 0
else:
index_col = None
if header:
header = 0
else:
header = None
df = pd.read_csv(fname, header=header, index_col=index_col, sep='\t')
if return_meta:
json_fname = fname.replace('tsv', 'json')
meta = pd.read_json(json_fname)
return df, meta
else:
return df | [
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... | Given a file name loads as a pandas data frame
Parameters
----------
fname : str
file name and path. Must be tsv.
return_meta :
header : bool (default True)
if there is a header in the tsv file, true will use first row in file.
index_col : bool (default None)
if there is an index column in the csv or tsv file, true will use first row in file.
Returns
-------
df : pandas
The loaded file
info : pandas, if return_meta=True
Meta infomration in json file (if specified) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/bidsutils.py#L77-L115 | train | Loads a single tab - delimited file into a pandas dataframe | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(83 - 35) + chr(0b11101 + 0o122) + '\063' + chr(0b110011) + '\x36', 62366 - 62358), nzTpIcepk0o8('\060' + '\x6f' + '\067' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(6645 - 6534) + chr(379 - 327), 60624 - 60616), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110011) + '\061' + chr(0b110001), 62375 - 62367), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(0b110011) + chr(49), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1000101 + 0o52) + chr(0b110101) + chr(51), 0o10), nzTpIcepk0o8(chr(2213 - 2165) + chr(0b111001 + 0o66) + '\063' + chr(1000 - 951) + '\061', 8), nzTpIcepk0o8(chr(48) + chr(0b1101110 + 0o1) + chr(49) + chr(0b11000 + 0o36) + '\x37', 45617 - 45609), nzTpIcepk0o8(chr(630 - 582) + '\x6f' + chr(0b110010) + '\064' + '\060', 0b1000), nzTpIcepk0o8(chr(48) + chr(11252 - 11141) + '\x31' + chr(1071 - 1021) + chr(2351 - 2301), 0o10), nzTpIcepk0o8('\x30' + chr(0b1100010 + 0o15) + chr(0b110001) + chr(0b110001) + chr(1843 - 1790), 0o10), nzTpIcepk0o8('\060' + chr(1923 - 1812) + '\062' + chr(0b10011 + 0o43) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(2261 - 2213) + chr(0b1101111) + chr(0b10111 + 0o34) + chr(0b110100) + chr(994 - 943), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + '\x36' + '\x36', 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b100001 + 0o20) + '\x31' + chr(0b110011), 38474 - 38466), nzTpIcepk0o8(chr(48) + '\157' + '\064', 8), nzTpIcepk0o8(chr(102 - 54) + chr(0b1101111) + chr(51) + chr(0b110111) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b101011 + 0o12) + chr(0b11100 + 0o26), 63866 - 63858), nzTpIcepk0o8(chr(364 - 316) + chr(0b10101 + 0o132) + chr(52 - 0) + '\x31', 0o10), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(8423 - 8312) + chr(69 - 20) + chr(0b10001 + 0o40) + '\065', 8), nzTpIcepk0o8('\x30' + chr(9328 - 9217) + chr(0b11011 + 0o33) + chr(0b11001 + 0o36), ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(49) + chr(0b10000 + 0o43) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b10011 + 0o134) + '\x33' + '\061' + '\065', 61362 - 61354), nzTpIcepk0o8(chr(48) + chr(0b100010 + 0o115) + chr(49) + chr(0b100011 + 0o22) + '\061', ord("\x08")), nzTpIcepk0o8(chr(1559 - 1511) + chr(0b1000000 + 0o57) + chr(0b100011 + 0o16) + '\x34' + '\065', 0b1000), nzTpIcepk0o8(chr(0b110000 + 0o0) + '\157' + '\x32' + chr(0b110101) + chr(0b110001), 0o10), nzTpIcepk0o8('\060' + chr(6206 - 6095) + chr(55) + chr(50), 0o10), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b1000101 + 0o52) + chr(954 - 905) + chr(51) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b1011 + 0o47) + chr(51) + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(0b111100 + 0o63) + '\x32' + chr(819 - 766) + chr(0b1010 + 0o53), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b10001 + 0o40) + chr(52) + chr(2668 - 2616), 52617 - 52609), nzTpIcepk0o8('\060' + chr(0b110001 + 0o76) + chr(0b10101 + 0o35) + '\067' + chr(0b10001 + 0o42), 0o10), nzTpIcepk0o8('\x30' + chr(0b1110 + 0o141) + '\x31' + chr(1372 - 1317) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110011) + chr(0b110101) + chr(1160 - 1109), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(2434 - 2323) + chr(51) + chr(54) + chr(0b10011 + 0o36), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\066' + chr(55), 8), nzTpIcepk0o8(chr(1384 - 1336) + '\x6f' + chr(934 - 883) + chr(52) + chr(51), 8), nzTpIcepk0o8(chr(0b101101 + 0o3) + '\x6f' + chr(0b110011) + '\065' + '\061', 0o10), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(0b1000 + 0o147) + chr(0b110 + 0o55) + '\063' + chr(0b101000 + 0o10), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b1 + 0o62) + chr(0b110111) + '\x32', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + '\157' + chr(0b10 + 0o63) + chr(0b10000 + 0o40), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xf0'), chr(0b1100100) + chr(4415 - 4314) + chr(0b1100011) + chr(0b1011010 + 0o25) + chr(8646 - 8546) + chr(5105 - 5004))(chr(8645 - 8528) + chr(0b1110100) + chr(6653 - 6551) + '\x2d' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Tv1n_fmB7cly(jXqxEQuu_5DD, KdAzAncctjVZ=nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(111) + '\060', 0o10), jkp_M8Pp8CIt=nzTpIcepk0o8('\x30' + '\157' + '\061', ord("\x08")), n6IclUo4f3VC=nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10 + 0o57), 8)):
if n6IclUo4f3VC:
n6IclUo4f3VC = nzTpIcepk0o8(chr(0b111 + 0o51) + chr(8097 - 7986) + chr(112 - 64), 8)
else:
n6IclUo4f3VC = None
if jkp_M8Pp8CIt:
jkp_M8Pp8CIt = nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(10724 - 10613) + '\x30', 8)
else:
jkp_M8Pp8CIt = None
jpOn8DNZxbbx = HLKt4sa1j9hm.read_csv(jXqxEQuu_5DD, header=jkp_M8Pp8CIt, index_col=n6IclUo4f3VC, sep=roI3spqORKae(ES5oEprVxulp(b'\xd7'), chr(0b1100100) + chr(0b1101 + 0o130) + chr(99) + chr(111) + chr(2620 - 2520) + '\145')(chr(117) + chr(0b1100101 + 0o17) + chr(0b101101 + 0o71) + chr(1612 - 1567) + '\x38'))
if KdAzAncctjVZ:
YWmBTOd8oS9p = jXqxEQuu_5DD.E91dbqOZXBpJ(roI3spqORKae(ES5oEprVxulp(b'\xaaOr'), chr(0b1011001 + 0o13) + chr(101) + chr(0b1011001 + 0o12) + chr(0b1101111) + '\144' + chr(0b101 + 0o140))('\x75' + chr(0b1100110 + 0o16) + chr(0b1100110) + chr(45) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xb4Ok\xa7'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(101))(chr(0b100 + 0o161) + chr(0b101100 + 0o110) + chr(0b1100110) + chr(0b101101) + chr(56)))
DCKHhI6xLX9g = HLKt4sa1j9hm.read_json(YWmBTOd8oS9p)
return (jpOn8DNZxbbx, DCKHhI6xLX9g)
else:
return jpOn8DNZxbbx |
wiheto/teneto | teneto/utils/bidsutils.py | get_sidecar | def get_sidecar(fname, allowedfileformats='default'):
"""
Loads sidecar or creates one
"""
if allowedfileformats == 'default':
allowedfileformats = ['.tsv', '.nii.gz']
for f in allowedfileformats:
fname = fname.split(f)[0]
fname += '.json'
if os.path.exists(fname):
with open(fname) as fs:
sidecar = json.load(fs)
else:
sidecar = {}
if 'filestatus' not in sidecar:
sidecar['filestatus'] = {}
sidecar['filestatus']['reject'] = False
sidecar['filestatus']['reason'] = []
return sidecar | python | def get_sidecar(fname, allowedfileformats='default'):
"""
Loads sidecar or creates one
"""
if allowedfileformats == 'default':
allowedfileformats = ['.tsv', '.nii.gz']
for f in allowedfileformats:
fname = fname.split(f)[0]
fname += '.json'
if os.path.exists(fname):
with open(fname) as fs:
sidecar = json.load(fs)
else:
sidecar = {}
if 'filestatus' not in sidecar:
sidecar['filestatus'] = {}
sidecar['filestatus']['reject'] = False
sidecar['filestatus']['reason'] = []
return sidecar | [
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... | Loads sidecar or creates one | [
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"creates",
"one"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/bidsutils.py#L118-L136 | train | Loads a single object from a file. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(0b1101111) + chr(569 - 519) + chr(0b110000) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(2955 - 2844) + chr(0b1110 + 0o45) + chr(51) + chr(1512 - 1458), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2067 - 2017) + '\064', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2566 - 2515) + '\x36' + '\x34', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + '\062' + '\x36' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + '\x32' + chr(0b101011 + 0o14), 24823 - 24815), nzTpIcepk0o8('\060' + chr(111) + '\x32' + chr(0b110101) + '\062', 31773 - 31765), nzTpIcepk0o8(chr(1007 - 959) + chr(0b100000 + 0o117) + chr(0b110010) + chr(0b101010 + 0o10) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\062', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + chr(2000 - 1950) + chr(1710 - 1661), 0o10), nzTpIcepk0o8(chr(1079 - 1031) + chr(0b1101111) + chr(0b110011) + '\064' + chr(0b101101 + 0o4), 34225 - 34217), nzTpIcepk0o8(chr(0b110000) + chr(0b11 + 0o154) + chr(0b100010 + 0o20) + '\x36' + '\060', ord("\x08")), nzTpIcepk0o8(chr(1465 - 1417) + '\x6f' + chr(0b110011) + '\x34' + chr(2645 - 2592), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(540 - 490) + chr(0b110101) + '\065', 14968 - 14960), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b100011 + 0o16) + chr(0b1010 + 0o47) + chr(53), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(50) + '\x36' + '\067', 22866 - 22858), nzTpIcepk0o8('\060' + chr(0b1011000 + 0o27) + chr(1384 - 1335) + chr(942 - 890) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b11011 + 0o27) + chr(50) + chr(1541 - 1492), 8), nzTpIcepk0o8('\x30' + '\157' + chr(93 - 43) + chr(0b11110 + 0o25) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(949 - 901) + '\x6f' + chr(0b10110 + 0o34) + '\066' + '\x31', ord("\x08")), nzTpIcepk0o8(chr(0b100011 + 0o15) + '\157' + '\x37' + chr(802 - 747), 51674 - 51666), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + chr(0b110001) + chr(0b10 + 0o62), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(5472 - 5361) + chr(0b110 + 0o55) + '\x35' + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x31' + '\060' + chr(1783 - 1735), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\062' + chr(54) + '\067', 8), nzTpIcepk0o8('\x30' + chr(111) + '\063' + chr(1217 - 1167) + '\065', 22760 - 22752), nzTpIcepk0o8(chr(48) + chr(7187 - 7076) + '\x33' + chr(444 - 391), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + '\064' + '\067', ord("\x08")), nzTpIcepk0o8('\060' + chr(5568 - 5457) + '\x31' + chr(1900 - 1848), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + chr(0b101 + 0o56) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(1752 - 1704) + '\157' + '\062' + '\x33' + '\x30', 0b1000), nzTpIcepk0o8(chr(48) + chr(2094 - 1983) + chr(0b110010) + chr(927 - 877) + chr(54), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1001110 + 0o41) + '\062' + '\067' + '\063', ord("\x08")), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b1010101 + 0o32) + chr(1328 - 1279) + chr(1243 - 1194) + chr(0b110100), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + chr(0b11111 + 0o26) + '\063', 0o10), nzTpIcepk0o8('\060' + '\157' + '\x33' + '\x36' + '\065', ord("\x08")), nzTpIcepk0o8(chr(1571 - 1523) + '\157' + '\061' + chr(0b100001 + 0o25) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(826 - 778) + '\157' + chr(0b10010 + 0o37) + chr(0b110001) + chr(2357 - 2302), 25508 - 25500), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b10000 + 0o137) + chr(0b11011 + 0o27) + chr(2543 - 2488), 41558 - 41550), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(0b1011010 + 0o25) + chr(0b110001) + chr(49), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\x6f' + chr(1980 - 1927) + chr(0b11010 + 0o26), 18363 - 18355)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xab'), chr(6817 - 6717) + chr(0b101100 + 0o71) + chr(0b1010101 + 0o16) + chr(0b1101111) + chr(100) + '\x65')(chr(0b10 + 0o163) + chr(2058 - 1942) + chr(9044 - 8942) + chr(0b10011 + 0o32) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def TF0IQUrPKP4z(jXqxEQuu_5DD, n8koCrNdYpkM=roI3spqORKae(ES5oEprVxulp(b'\xe1\xbbr\x95\xc3;\xde'), chr(0b1000100 + 0o40) + '\x65' + chr(6850 - 6751) + '\x6f' + chr(0b1100100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b11100 + 0o112) + '\055' + chr(56))):
if n8koCrNdYpkM == roI3spqORKae(ES5oEprVxulp(b'\xe1\xbbr\x95\xc3;\xde'), '\144' + chr(1403 - 1302) + '\x63' + '\x6f' + chr(100) + chr(0b10011 + 0o122))('\x75' + chr(0b1110100) + '\146' + '\055' + '\070'):
n8koCrNdYpkM = [roI3spqORKae(ES5oEprVxulp(b'\xab\xaag\x82'), chr(100) + chr(6089 - 5988) + chr(0b100 + 0o137) + chr(0b1101111) + '\x64' + '\x65')('\x75' + '\x74' + chr(8584 - 8482) + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xab\xb0}\x9d\x980\xd0'), chr(100) + chr(0b111010 + 0o53) + '\143' + '\x6f' + chr(0b1100100) + '\145')(chr(13042 - 12925) + chr(116) + '\x66' + chr(1960 - 1915) + chr(0b111000))]
for _R8IKF5IwAfX in n8koCrNdYpkM:
jXqxEQuu_5DD = jXqxEQuu_5DD.LfRrQOxuDvnC(_R8IKF5IwAfX)[nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(6791 - 6680) + chr(0b110000), 19488 - 19480)]
jXqxEQuu_5DD += roI3spqORKae(ES5oEprVxulp(b'\xab\xb4g\x9b\xd8'), chr(0b1100100) + '\145' + chr(0b1000111 + 0o34) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1011111 + 0o26) + chr(116) + '\x66' + chr(0b101101) + chr(0b11011 + 0o35))
if roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\xff\x8d]\x8d\xd8\x07\xdf\xd1t\xfd\xb0\x84'), chr(0b1100100) + chr(9259 - 9158) + chr(3007 - 2908) + '\157' + chr(268 - 168) + chr(0b11010 + 0o113))('\x75' + chr(116) + '\146' + chr(0b101101) + '\070'))(jXqxEQuu_5DD):
with DnU3Rq9N5ala(jXqxEQuu_5DD) as ANVmZzFk_RHC:
lnb5q1rSO8Sz = LNUKEwZDIbyb.ZERsdc7c1d8E(ANVmZzFk_RHC)
else:
lnb5q1rSO8Sz = {}
if roI3spqORKae(ES5oEprVxulp(b'\xe3\xb7x\x91\xc5#\xcb\xe0w\xe2'), '\144' + '\x65' + chr(8647 - 8548) + chr(111) + '\x64' + chr(189 - 88))(chr(0b110001 + 0o104) + chr(0b1000011 + 0o61) + chr(0b101110 + 0o70) + chr(45) + chr(0b111000)) not in lnb5q1rSO8Sz:
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'\xe3\xb7x\x91\xc5#\xcb\xe0w\xe2'), chr(100) + chr(0b110101 + 0o60) + chr(99) + chr(111) + chr(0b1011011 + 0o11) + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(45) + chr(726 - 670))] = {}
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'\xe3\xb7x\x91\xc5#\xcb\xe0w\xe2'), '\x64' + chr(7017 - 6916) + chr(99) + chr(0b10001 + 0o136) + chr(9186 - 9086) + chr(0b1100101))(chr(117) + '\x74' + chr(0b100100 + 0o102) + '\x2d' + chr(56))][roI3spqORKae(ES5oEprVxulp(b'\xf7\xbb~\x91\xd5#'), '\144' + chr(9206 - 9105) + chr(0b1100011) + chr(5710 - 5599) + chr(6050 - 5950) + chr(101))(chr(117) + chr(12642 - 12526) + chr(9211 - 9109) + '\055' + chr(1551 - 1495))] = nzTpIcepk0o8('\060' + chr(8516 - 8405) + chr(0b110000), 8)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'\xe3\xb7x\x91\xc5#\xcb\xe0w\xe2'), chr(0b1100100) + '\145' + chr(0b100101 + 0o76) + chr(0b110011 + 0o74) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000))][roI3spqORKae(ES5oEprVxulp(b'\xf7\xbbu\x87\xd99'), '\144' + chr(2456 - 2355) + chr(9143 - 9044) + chr(111) + chr(100) + chr(101))('\x75' + '\164' + chr(102) + chr(45) + '\x38')] = []
return lnb5q1rSO8Sz |
wiheto/teneto | teneto/utils/bidsutils.py | process_exclusion_criteria | def process_exclusion_criteria(exclusion_criteria):
"""
Parses an exclusion critera string to get the function and threshold.
Parameters
----------
exclusion_criteria : list
list of strings where each string is of the format [relation][threshold]. E.g. \'<0.5\' or \'>=1\'
Returns
-------
relfun : list
list of numpy functions for the exclusion criteria
threshold : list
list of floats for threshold for each relfun
"""
relfun = []
threshold = []
for ec in exclusion_criteria:
if ec[0:2] == '>=':
relfun.append(np.greater_equal)
threshold.append(float(ec[2:]))
elif ec[0:2] == '<=':
relfun.append(np.less_equal)
threshold.append(float(ec[2:]))
elif ec[0] == '>':
relfun.append(np.greater)
threshold.append(float(ec[1:]))
elif ec[0] == '<':
relfun.append(np.less)
threshold.append(float(ec[1:]))
else:
raise ValueError('exclusion crieria must being with >,<,>= or <=')
return relfun, threshold | python | def process_exclusion_criteria(exclusion_criteria):
"""
Parses an exclusion critera string to get the function and threshold.
Parameters
----------
exclusion_criteria : list
list of strings where each string is of the format [relation][threshold]. E.g. \'<0.5\' or \'>=1\'
Returns
-------
relfun : list
list of numpy functions for the exclusion criteria
threshold : list
list of floats for threshold for each relfun
"""
relfun = []
threshold = []
for ec in exclusion_criteria:
if ec[0:2] == '>=':
relfun.append(np.greater_equal)
threshold.append(float(ec[2:]))
elif ec[0:2] == '<=':
relfun.append(np.less_equal)
threshold.append(float(ec[2:]))
elif ec[0] == '>':
relfun.append(np.greater)
threshold.append(float(ec[1:]))
elif ec[0] == '<':
relfun.append(np.less)
threshold.append(float(ec[1:]))
else:
raise ValueError('exclusion crieria must being with >,<,>= or <=')
return relfun, threshold | [
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exclusion_criteria : list
list of strings where each string is of the format [relation][threshold]. E.g. \'<0.5\' or \'>=1\'
Returns
-------
relfun : list
list of numpy functions for the exclusion criteria
threshold : list
list of floats for threshold for each relfun | [
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"threshold",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/utils/bidsutils.py#L166-L201 | train | Takes an exclusion criteria string and returns the function and threshold for the exclusion criteria. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + '\x33' + '\x35', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(53) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\157' + chr(50) + '\x35' + chr(0b1100 + 0o44), ord("\x08")), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b1001 + 0o53) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(4406 - 4295) + chr(51 - 0) + '\064' + '\x36', 64888 - 64880), nzTpIcepk0o8(chr(210 - 162) + '\157' + '\062' + chr(0b110101) + chr(0b101110 + 0o2), 8), nzTpIcepk0o8(chr(1465 - 1417) + chr(5900 - 5789) + chr(50) + '\064' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(2363 - 2313) + chr(48) + '\x30', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + chr(0b10100 + 0o35) + chr(0b101110 + 0o2), 0o10), nzTpIcepk0o8(chr(617 - 569) + '\157' + chr(989 - 938) + '\x35' + chr(54), 63075 - 63067), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110010) + chr(52) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\157' + '\062', 41553 - 41545), nzTpIcepk0o8('\060' + '\x6f' + chr(51) + '\x35', 6892 - 6884), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b1101111) + chr(2228 - 2178) + '\x32' + '\066', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + '\065' + chr(2896 - 2842), 0o10), nzTpIcepk0o8(chr(1118 - 1070) + '\157' + '\062' + '\x34' + chr(458 - 410), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(0b101001 + 0o10) + '\065' + '\063', 4155 - 4147), nzTpIcepk0o8('\060' + chr(0b1111 + 0o140) + '\x31' + '\x35' + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + chr(5207 - 5096) + chr(51) + chr(48), ord("\x08")), nzTpIcepk0o8('\060' + chr(11901 - 11790) + chr(52) + chr(1277 - 1227), ord("\x08")), nzTpIcepk0o8('\060' + chr(4316 - 4205) + chr(0b110011 + 0o0) + chr(0b110011) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b11100 + 0o27) + chr(0b1111 + 0o47) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(111) + chr(0b11001 + 0o35) + chr(930 - 876), 0b1000), nzTpIcepk0o8(chr(48) + chr(3076 - 2965) + chr(0b100101 + 0o16) + '\062', 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + '\x6f' + chr(51) + '\x36' + chr(51), 0b1000), nzTpIcepk0o8(chr(1962 - 1914) + chr(111) + chr(0b100001 + 0o22) + chr(1157 - 1108) + chr(0b1001 + 0o53), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(51) + chr(0b110110) + chr(882 - 827), 8), nzTpIcepk0o8(chr(301 - 253) + chr(111) + chr(51) + '\067' + chr(0b100000 + 0o21), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b111110 + 0o61) + chr(0b11100 + 0o26) + chr(0b100110 + 0o12) + chr(1735 - 1684), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(206 - 157) + chr(54) + chr(54), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\063' + '\x35' + '\067', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1100011 + 0o14) + chr(0b101111 + 0o2) + chr(55) + chr(53), 941 - 933), nzTpIcepk0o8(chr(48) + '\157' + chr(51) + chr(1870 - 1817) + chr(0b1 + 0o60), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x35' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(10138 - 10027) + '\061' + chr(2462 - 2407) + chr(0b110001), 53167 - 53159), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(11879 - 11768) + chr(51) + chr(0b101110 + 0o10) + chr(50), 34867 - 34859), nzTpIcepk0o8('\x30' + chr(0b110000 + 0o77) + '\062' + chr(0b1000 + 0o52) + chr(2229 - 2181), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110001) + '\x36' + '\061', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + '\x35' + chr(311 - 262), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b0 + 0o61) + chr(587 - 535) + '\060', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + '\065' + chr(0b110000), 29061 - 29053)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b's'), chr(0b111 + 0o135) + chr(0b110000 + 0o65) + chr(0b1001011 + 0o30) + chr(0b1101111) + chr(100) + '\x65')(chr(12320 - 12203) + '\164' + chr(102) + chr(0b1001 + 0o44) + chr(0b1011 + 0o55)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def O2lMmBOJBwIN(idvOrSTt9JpQ):
fDZmcYd3lJMP = []
klmSpxrzsw3P = []
for PuClr07Ni98U in idvOrSTt9JpQ:
if PuClr07Ni98U[nzTpIcepk0o8('\x30' + chr(0b11001 + 0o126) + chr(0b1 + 0o57), 0b1000):nzTpIcepk0o8(chr(1882 - 1834) + '\x6f' + chr(50), 8)] == roI3spqORKae(ES5oEprVxulp(b'cP'), chr(0b110010 + 0o62) + chr(0b1100101) + chr(4445 - 4346) + chr(0b1101111) + '\x64' + chr(1075 - 974))('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b10110 + 0o42)):
roI3spqORKae(fDZmcYd3lJMP, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), '\x64' + chr(0b1001010 + 0o33) + chr(8436 - 8337) + chr(0b1101000 + 0o7) + chr(100) + '\145')('\x75' + chr(0b1110100) + chr(102) + chr(1701 - 1656) + '\x38'))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b':\x1f\xcd\xc4\x92\xcd\xd6\xdf-\x9f\xd5cq'), '\144' + '\145' + chr(99) + chr(0b110 + 0o151) + chr(8977 - 8877) + '\145')(chr(0b111011 + 0o72) + chr(0b1110100) + '\146' + '\x2d' + chr(0b110110 + 0o2))))
roI3spqORKae(klmSpxrzsw3P, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(100) + '\x65' + '\143' + chr(0b1001 + 0o146) + chr(0b101000 + 0o74) + chr(0b1100001 + 0o4))(chr(5518 - 5401) + '\164' + '\x66' + chr(860 - 815) + '\070'))(jLW6pRf2DSRk(PuClr07Ni98U[nzTpIcepk0o8('\x30' + '\x6f' + chr(50), 8):]))
elif PuClr07Ni98U[nzTpIcepk0o8(chr(48) + chr(111) + chr(48), 8):nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32', 8)] == roI3spqORKae(ES5oEprVxulp(b'aP'), '\144' + '\145' + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(117) + chr(11347 - 11231) + '\146' + chr(0b101101) + '\070'):
roI3spqORKae(fDZmcYd3lJMP, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b100000 + 0o104) + '\x65' + '\x63' + '\157' + chr(7215 - 7115) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\070'))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'1\x08\xdb\xd6\xb9\xcd\xd5\xf5)\x82'), chr(2430 - 2330) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b101100 + 0o72) + chr(45) + chr(0b111000))))
roI3spqORKae(klmSpxrzsw3P, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b1100100) + chr(101) + chr(7195 - 7096) + chr(3672 - 3561) + chr(9836 - 9736) + chr(2733 - 2632))(chr(11909 - 11792) + '\x74' + chr(0b1100110) + '\055' + chr(56)))(jLW6pRf2DSRk(PuClr07Ni98U[nzTpIcepk0o8(chr(48) + chr(111) + chr(2248 - 2198), 8):]))
elif PuClr07Ni98U[nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(0b101110 + 0o101) + '\060', 8)] == roI3spqORKae(ES5oEprVxulp(b'c'), '\144' + chr(5019 - 4918) + '\x63' + '\157' + chr(100) + '\145')(chr(8724 - 8607) + chr(116) + chr(0b1000000 + 0o46) + chr(0b101001 + 0o4) + '\x38'):
roI3spqORKae(fDZmcYd3lJMP, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b1100100) + chr(0b1000101 + 0o40) + chr(5834 - 5735) + chr(3682 - 3571) + chr(0b1100100) + '\x65')(chr(0b1000111 + 0o56) + chr(116) + chr(102) + chr(0b101010 + 0o3) + '\x38'))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x155\xe7\x94\x90\xfe\xe2\xd9|\x9e\xed`'), chr(0b1001101 + 0o27) + chr(4053 - 3952) + chr(99) + '\x6f' + '\144' + chr(0b111 + 0o136))(chr(0b1110101) + '\x74' + chr(7680 - 7578) + '\055' + chr(0b10001 + 0o47))))
roI3spqORKae(klmSpxrzsw3P, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b1001000 + 0o34) + chr(0b1100101) + chr(99) + chr(11059 - 10948) + '\144' + '\x65')('\165' + '\164' + chr(102) + '\x2d' + '\x38'))(jLW6pRf2DSRk(PuClr07Ni98U[nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b1101010 + 0o5) + '\x31', ord("\x08")):]))
elif PuClr07Ni98U[nzTpIcepk0o8(chr(933 - 885) + chr(111) + chr(0b110000), 8)] == roI3spqORKae(ES5oEprVxulp(b'a'), chr(100) + '\x65' + chr(0b101101 + 0o66) + '\157' + chr(0b111000 + 0o54) + chr(0b1100101))(chr(0b110100 + 0o101) + chr(0b110010 + 0o102) + chr(102) + chr(45) + '\x38'):
roI3spqORKae(fDZmcYd3lJMP, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(0b11111 + 0o120) + chr(0b1100100) + chr(658 - 557))(chr(13528 - 13411) + '\x74' + '\x66' + chr(1289 - 1244) + chr(56)))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'1\x08\xdb\xd6'), '\144' + chr(0b11111 + 0o106) + chr(0b101010 + 0o71) + chr(0b1101111) + chr(8292 - 8192) + chr(0b100001 + 0o104))('\165' + chr(0b11010 + 0o132) + chr(102) + '\055' + chr(0b111000))))
roI3spqORKae(klmSpxrzsw3P, roI3spqORKae(ES5oEprVxulp(b'\x159\xfb\x91\x9e\xcf\xe3\xef"\x81\xf57'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1011 + 0o152) + '\x74' + chr(2579 - 2477) + chr(45) + chr(1221 - 1165)))(jLW6pRf2DSRk(PuClr07Ni98U[nzTpIcepk0o8('\060' + chr(111) + chr(1165 - 1116), 8):]))
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'8\x15\xcb\xc9\x93\xdb\xcd\xef&\xce\xc3pt\xf3\x1c\xc9\nOuW\xab\x83\x16x\x96\xa5\x99\x9e\xa3\x01\x86\t\x81\x0eG\xde\xac]\xd7]}\x02\xda\x85\xda\x95'), chr(6545 - 6445) + chr(6078 - 5977) + chr(99) + '\x6f' + chr(100) + chr(101))('\165' + '\x74' + chr(0b1011100 + 0o12) + chr(0b101101) + '\x38'))
return (fDZmcYd3lJMP, klmSpxrzsw3P) |
wiheto/teneto | teneto/networkmeasures/reachability_latency.py | reachability_latency | def reachability_latency(tnet=None, paths=None, rratio=1, calc='global'):
"""
Reachability latency. This is the r-th longest temporal path.
Parameters
---------
data : array or dict
Can either be a network (graphlet or contact), binary unidrected only. Alternative can be a paths dictionary (output of teneto.networkmeasure.shortest_temporal_path)
rratio: float (default: 1)
reachability ratio that the latency is calculated in relation to.
Value must be over 0 and up to 1.
1 (default) - all nodes must be reached.
Other values (e.g. .5 imply that 50% of nodes are reached)
This is rounded to the nearest node inter.
E.g. if there are 6 nodes [1,2,3,4,5,6], it will be node 4 (due to round upwards)
calc : str
what to calculate. Alternatives: 'global' entire network; 'nodes': for each node.
Returns
--------
reach_lat : array
Reachability latency
Notes
------
Reachability latency calculates the time it takes for the paths.
"""
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
netshape = pathmat.shape
edges_to_reach = netshape[0] - np.round(netshape[0] * rratio)
reach_lat = np.zeros([netshape[1], netshape[2]]) * np.nan
for t_ind in range(0, netshape[2]):
paths_sort = -np.sort(-pathmat[:, :, t_ind], axis=1)
reach_lat[:, t_ind] = paths_sort[:, edges_to_reach]
if calc == 'global':
reach_lat = np.nansum(reach_lat)
reach_lat = reach_lat / ((netshape[0]) * netshape[2])
elif calc == 'nodes':
reach_lat = np.nansum(reach_lat, axis=1)
reach_lat = reach_lat / (netshape[2])
return reach_lat | python | def reachability_latency(tnet=None, paths=None, rratio=1, calc='global'):
"""
Reachability latency. This is the r-th longest temporal path.
Parameters
---------
data : array or dict
Can either be a network (graphlet or contact), binary unidrected only. Alternative can be a paths dictionary (output of teneto.networkmeasure.shortest_temporal_path)
rratio: float (default: 1)
reachability ratio that the latency is calculated in relation to.
Value must be over 0 and up to 1.
1 (default) - all nodes must be reached.
Other values (e.g. .5 imply that 50% of nodes are reached)
This is rounded to the nearest node inter.
E.g. if there are 6 nodes [1,2,3,4,5,6], it will be node 4 (due to round upwards)
calc : str
what to calculate. Alternatives: 'global' entire network; 'nodes': for each node.
Returns
--------
reach_lat : array
Reachability latency
Notes
------
Reachability latency calculates the time it takes for the paths.
"""
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
netshape = pathmat.shape
edges_to_reach = netshape[0] - np.round(netshape[0] * rratio)
reach_lat = np.zeros([netshape[1], netshape[2]]) * np.nan
for t_ind in range(0, netshape[2]):
paths_sort = -np.sort(-pathmat[:, :, t_ind], axis=1)
reach_lat[:, t_ind] = paths_sort[:, edges_to_reach]
if calc == 'global':
reach_lat = np.nansum(reach_lat)
reach_lat = reach_lat / ((netshape[0]) * netshape[2])
elif calc == 'nodes':
reach_lat = np.nansum(reach_lat, axis=1)
reach_lat = reach_lat / (netshape[2])
return reach_lat | [
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"... | Reachability latency. This is the r-th longest temporal path.
Parameters
---------
data : array or dict
Can either be a network (graphlet or contact), binary unidrected only. Alternative can be a paths dictionary (output of teneto.networkmeasure.shortest_temporal_path)
rratio: float (default: 1)
reachability ratio that the latency is calculated in relation to.
Value must be over 0 and up to 1.
1 (default) - all nodes must be reached.
Other values (e.g. .5 imply that 50% of nodes are reached)
This is rounded to the nearest node inter.
E.g. if there are 6 nodes [1,2,3,4,5,6], it will be node 4 (due to round upwards)
calc : str
what to calculate. Alternatives: 'global' entire network; 'nodes': for each node.
Returns
--------
reach_lat : array
Reachability latency
Notes
------
Reachability latency calculates the time it takes for the paths. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/reachability_latency.py#L9-L72 | train | Returns the reachability latency for a given set of nodes. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10011 + 0o37) + '\x30' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\157' + '\x33' + chr(0b11 + 0o61), 33334 - 33326), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + chr(2265 - 2210), 10092 - 10084), nzTpIcepk0o8(chr(425 - 377) + chr(6797 - 6686) + chr(0b110001) + chr(0b110111) + chr(1033 - 980), 10442 - 10434), nzTpIcepk0o8(chr(0b110000) + chr(0b1010101 + 0o32) + chr(54) + chr(53), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1010110 + 0o31) + chr(0b110111) + chr(53), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\063' + chr(239 - 190), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + chr(52) + chr(51), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\065' + chr(0b110001), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(2499 - 2448) + chr(0b110111) + chr(2270 - 2222), 332 - 324), nzTpIcepk0o8('\060' + '\x6f' + chr(0b1100 + 0o47) + chr(0b11 + 0o55) + '\064', 0o10), nzTpIcepk0o8(chr(0b1010 + 0o46) + '\157' + '\x33' + chr(1787 - 1736) + '\x30', 0b1000), nzTpIcepk0o8(chr(48) + chr(11471 - 11360) + chr(0b10 + 0o60) + chr(54) + chr(725 - 671), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(49) + chr(1208 - 1153) + '\062', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b11110 + 0o22) + '\x34', 0b1000), nzTpIcepk0o8('\060' + chr(0b100101 + 0o112) + chr(0b100100 + 0o16) + '\060' + '\x33', 14054 - 14046), nzTpIcepk0o8(chr(48) + chr(0b1101110 + 0o1) + '\062' + chr(0b110100) + '\x36', 64767 - 64759), nzTpIcepk0o8('\060' + chr(3378 - 3267) + chr(51) + '\060' + chr(1343 - 1293), 0b1000), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\x6f' + chr(88 - 37) + chr(0b110001) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b100110 + 0o15) + chr(0b110000 + 0o0) + '\x33', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1000011 + 0o54) + chr(849 - 799) + '\060' + chr(0b1100 + 0o52), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\062' + chr(0b110000) + '\x36', 8), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b100000 + 0o117) + '\063' + chr(0b11001 + 0o34) + '\063', 5805 - 5797), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b101110 + 0o2) + '\063', 8), nzTpIcepk0o8(chr(1648 - 1600) + chr(11879 - 11768) + '\064' + chr(1833 - 1782), ord("\x08")), nzTpIcepk0o8(chr(1469 - 1421) + chr(0b1101111) + '\062' + '\064' + chr(0b10011 + 0o43), 8), nzTpIcepk0o8(chr(1146 - 1098) + chr(3931 - 3820) + chr(0b110001) + chr(48) + chr(0b110101), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b1 + 0o61) + chr(0b101101 + 0o10) + chr(1162 - 1114), 62718 - 62710), nzTpIcepk0o8('\x30' + '\157' + '\061' + chr(544 - 489) + '\060', 42304 - 42296), nzTpIcepk0o8(chr(0b11101 + 0o23) + '\x6f' + chr(51) + chr(0b110100) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(5723 - 5612) + '\x31' + '\x34' + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(10697 - 10586) + chr(0b110010) + chr(0b110111) + chr(1935 - 1886), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(51) + '\x31' + chr(50), 879 - 871), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + '\062' + chr(0b10000 + 0o46), 0o10), nzTpIcepk0o8(chr(48) + chr(9918 - 9807) + chr(1461 - 1410) + chr(55) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(48) + chr(569 - 458) + chr(0b10001 + 0o42) + chr(1190 - 1135) + chr(2002 - 1950), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(5077 - 4966) + '\x33' + '\x35' + '\063', 8), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(6291 - 6180) + chr(692 - 638) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(228 - 177) + chr(0b110100) + chr(51), 0o10), nzTpIcepk0o8('\060' + chr(0b1011011 + 0o24) + '\x32' + chr(2521 - 2466) + chr(0b101010 + 0o13), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100111 + 0o16) + chr(0b1000 + 0o50), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xaf'), chr(4357 - 4257) + chr(0b1100101) + chr(0b1100011 + 0o0) + chr(111) + chr(0b101101 + 0o67) + chr(101))('\165' + chr(0b1000 + 0o154) + chr(102) + '\x2d' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ysHwcKLD_KTt(sHR__4_c0Uoo=None, IQFTbBEt8buE=None, gtsL8rpucId5=nzTpIcepk0o8(chr(0b100110 + 0o12) + '\x6f' + chr(67 - 18), 0o10), hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xe6px\x1fTQ'), '\x64' + chr(1810 - 1709) + chr(0b1110 + 0o125) + '\x6f' + chr(0b1100100) + chr(0b100011 + 0o102))(chr(117) + chr(116) + '\x66' + chr(0b10010 + 0o33) + chr(56))):
if sHR__4_c0Uoo is not None and IQFTbBEt8buE is not None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xcer{\x04\x15S<\xd7^\x97\xb6\xb3\x96\x156\xa3\xd6\xa3\xbc\xab\xa6\xef\x85\xb3V\xd2e\xc9\x14\x8e\x0c\xce\xaf2\xd5'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\x65')('\165' + chr(0b100010 + 0o122) + chr(0b11 + 0o143) + '\055' + chr(0b101110 + 0o12)))
if sHR__4_c0Uoo is None and IQFTbBEt8buE is None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xcfs7\x14[M,\xd7\x07'), chr(100) + chr(8806 - 8705) + '\x63' + chr(111) + chr(0b1100100) + chr(4096 - 3995))('\x75' + '\x74' + '\146' + '\x2d' + chr(56)))
if sHR__4_c0Uoo is not None:
IQFTbBEt8buE = DekaYgFY7DH2(sHR__4_c0Uoo)
gU7xbNSvlcoW = nDF4gVNx0u9Q.UmwwEp7MzR6q([IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xe7nx\x10'), chr(100) + '\145' + chr(0b1001101 + 0o26) + chr(0b1101111) + chr(8459 - 8359) + chr(0b1010111 + 0o16))('\x75' + '\x74' + '\146' + chr(45) + chr(0b10111 + 0o41)), roI3spqORKae(ES5oEprVxulp(b'\xf5s'), chr(0b1100100) + chr(101) + '\143' + '\157' + '\144' + chr(4282 - 4181))('\x75' + chr(0b111111 + 0o65) + '\x66' + chr(45) + chr(56))]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(1090 - 1042) + '\157' + chr(2071 - 2022), 8), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xe7nx\x10'), chr(100) + chr(6113 - 6012) + '\143' + chr(0b1101111) + chr(100) + chr(0b1010000 + 0o25))(chr(11736 - 11619) + chr(0b1110100) + '\146' + chr(0b100 + 0o51) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xf5s'), chr(0b110110 + 0o56) + chr(0b1100101) + chr(1880 - 1781) + chr(0b11010 + 0o125) + chr(100) + chr(0b1100101))(chr(117) + chr(10176 - 10060) + chr(102) + chr(0b101001 + 0o4) + chr(0b111000))]].max().KV9ckIhroIia() + nzTpIcepk0o8('\x30' + '\157' + chr(1771 - 1722), 8), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'\xf5Cd\tTO-'), '\x64' + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b1001110 + 0o27))(chr(117) + '\x74' + chr(0b111000 + 0o56) + chr(1141 - 1096) + '\x38')]].max().KV9ckIhroIia() + nzTpIcepk0o8('\060' + '\157' + '\x31', 8)]) * nDF4gVNx0u9Q.nan
gU7xbNSvlcoW[IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xe7nx\x10'), chr(0b1100100) + chr(101) + chr(4271 - 4172) + chr(0b1101111) + '\144' + chr(0b10001 + 0o124))(chr(0b1110101) + '\x74' + chr(0b11010 + 0o114) + '\055' + chr(0b11011 + 0o35))].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xf5s'), '\144' + '\145' + chr(7833 - 7734) + chr(9442 - 9331) + chr(2390 - 2290) + chr(101))(chr(8962 - 8845) + chr(0b1101100 + 0o10) + chr(0b1100110) + '\055' + '\x38')].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xf5Cd\tTO-'), chr(6653 - 6553) + chr(101) + '\143' + chr(0b101100 + 0o103) + chr(3593 - 3493) + chr(0b1100101))(chr(0b1000110 + 0o57) + chr(3644 - 3528) + chr(0b1100110) + chr(45) + chr(56))].CsodZJH6x9Tx] = IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'\xf5yz\rZO8\xcf\x04\x9c\xad\xab\xc2\x1b*\xe0\xc3'), chr(0b1100100) + '\x65' + '\x63' + '\157' + '\144' + chr(4989 - 4888))(chr(0b1101110 + 0o7) + chr(116) + chr(858 - 756) + chr(137 - 92) + '\070')]
k_hzkZorywiQ = gU7xbNSvlcoW.lhbM092AFW8f
cdnQYMd18Q0e = k_hzkZorywiQ[nzTpIcepk0o8(chr(1288 - 1240) + chr(1443 - 1332) + chr(0b110000), 0o10)] - nDF4gVNx0u9Q.round(k_hzkZorywiQ[nzTpIcepk0o8('\060' + chr(0b101011 + 0o104) + chr(0b110000), 8)] * gtsL8rpucId5)
JB0h8eyWp03l = nDF4gVNx0u9Q.UmwwEp7MzR6q([k_hzkZorywiQ[nzTpIcepk0o8(chr(1848 - 1800) + chr(0b110010 + 0o75) + '\061', 8)], k_hzkZorywiQ[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b101000 + 0o12), 0b1000)]]) * nDF4gVNx0u9Q.nan
for pKMFtg4XSmTp in bbT2xIe5pzk7(nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 8), k_hzkZorywiQ[nzTpIcepk0o8(chr(746 - 698) + '\157' + chr(50), 8)]):
X_h2PP0PmGj5 = -nDF4gVNx0u9Q.sort(-gU7xbNSvlcoW[:, :, pKMFtg4XSmTp], axis=nzTpIcepk0o8('\x30' + chr(0b1011011 + 0o24) + chr(49), 8))
JB0h8eyWp03l[:, pKMFtg4XSmTp] = X_h2PP0PmGj5[:, cdnQYMd18Q0e]
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xe6px\x1fTQ'), chr(0b1100100) + chr(101) + chr(5414 - 5315) + chr(1295 - 1184) + '\144' + '\145')('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(56)):
JB0h8eyWp03l = nDF4gVNx0u9Q.nansum(JB0h8eyWp03l)
JB0h8eyWp03l = JB0h8eyWp03l / (k_hzkZorywiQ[nzTpIcepk0o8(chr(1710 - 1662) + chr(10531 - 10420) + chr(1945 - 1897), 8)] * k_hzkZorywiQ[nzTpIcepk0o8(chr(0b1 + 0o57) + chr(0b1000010 + 0o55) + '\x32', 8)])
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xefss\x18F'), chr(0b10 + 0o142) + chr(101) + '\143' + '\157' + chr(8554 - 8454) + '\x65')(chr(5541 - 5424) + '\164' + chr(102) + chr(1059 - 1014) + chr(0b100111 + 0o21)):
JB0h8eyWp03l = nDF4gVNx0u9Q.nansum(JB0h8eyWp03l, axis=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1195 - 1146), 8))
JB0h8eyWp03l = JB0h8eyWp03l / k_hzkZorywiQ[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b10010 + 0o40), 8)]
return JB0h8eyWp03l |
wiheto/teneto | teneto/networkmeasures/fluctuability.py | fluctuability | def fluctuability(netin, calc='global'):
r"""
Fluctuability of temporal networks. This is the variation of the network's edges over time. [fluct-1]_
This is the unique number of edges through time divided by the overall number of edges.
Parameters
----------
netin : array or dict
Temporal network input (graphlet or contact) (nettype: 'bd', 'bu', 'wu', 'wd')
calc : str
Version of fluctuabiility to calcualte. 'global'
Returns
-------
fluct : array
Fluctuability
Notes
------
Fluctuability quantifies the variability of edges.
Given x number of edges, F is higher when those are repeated edges among a smaller set of edges
and lower when there are distributed across more edges.
.. math:: F = {{\sum_{i,j} H_{i,j}} \over {\sum_{i,j,t} G_{i,j,t}}}
where :math:`H_{i,j}` is a binary matrix where it is 1 if there is at least one t such that G_{i,j,t} = 1 (i.e. at least one temporal edge exists).
F is not normalized which makes comparisions of F across very different networks difficult (could be added).
Examples
--------
This example compares the fluctability of two different networks with the same number of edges.
Below two temporal networks, both with 3 nodes and 3 time-points.
Both get 3 connections.
>>> import teneto
>>> import numpy as np
>>> # Manually specify node (i,j) and temporal (t) indicies.
>>> ind_highF_i = [0,0,1]
>>> ind_highF_j = [1,2,2]
>>> ind_highF_t = [1,2,2]
>>> ind_lowF_i = [0,0,0]
>>> ind_lowF_j = [1,1,1]
>>> ind_lowF_t = [0,1,2]
>>> # Define 2 networks below and set above edges to 1
>>> G_highF = np.zeros([3,3,3])
>>> G_lowF = np.zeros([3,3,3])
>>> G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
>>> G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
The two different networks look like this:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
# Manually specify node (i,j) and temporal (t) indicies.
ind_highF_i = [0,0,1]
ind_highF_j = [1,2,2]
ind_highF_t = [1,2,2]
ind_lowF_i = [0,0,0]
ind_lowF_j = [1,1,1]
ind_lowF_t = [0,1,2]
# Define 2 networks below and set above edges to 1
G_highF = np.zeros([3,3,3])
G_lowF = np.zeros([3,3,3])
G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
fig, ax = plt.subplots(1,2)
teneto.plot.slice_plot(G_highF, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
teneto.plot.slice_plot(G_lowF, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
ax[0].set_title('G_highF')
ax[1].set_title('G_lowF')
ax[0].set_ylim([-0.25,2.25])
ax[1].set_ylim([-0.25,2.25])
plt.tight_layout()
fig.show()
Now calculate the fluctability of the two networks above.
>>> F_high = teneto.networkmeasures.fluctuability(G_highF)
>>> F_high
1.0
>>> F_low = teneto.networkmeasures.fluctuability(G_lowF)
>>> F_low
0.3333333333333333
Here we see that the network with more unique connections has the higher fluctuability.
Reference
---------
.. [fluct-1] Thompson et al (2017) "From static to temporal network theory applications to functional brain connectivity." Network Neuroscience, 2: 1. p.69-99 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00011>`_]
"""
# Get input type (C or G)
netin, _ = process_input(netin, ['C', 'G', 'TN'])
netin[netin != 0] = 1
unique_edges = np.sum(netin, axis=2)
unique_edges[unique_edges > 0] = 1
unique_edges[unique_edges == 0] = 0
fluct = (np.sum(unique_edges)) / np.sum(netin)
return fluct | python | def fluctuability(netin, calc='global'):
r"""
Fluctuability of temporal networks. This is the variation of the network's edges over time. [fluct-1]_
This is the unique number of edges through time divided by the overall number of edges.
Parameters
----------
netin : array or dict
Temporal network input (graphlet or contact) (nettype: 'bd', 'bu', 'wu', 'wd')
calc : str
Version of fluctuabiility to calcualte. 'global'
Returns
-------
fluct : array
Fluctuability
Notes
------
Fluctuability quantifies the variability of edges.
Given x number of edges, F is higher when those are repeated edges among a smaller set of edges
and lower when there are distributed across more edges.
.. math:: F = {{\sum_{i,j} H_{i,j}} \over {\sum_{i,j,t} G_{i,j,t}}}
where :math:`H_{i,j}` is a binary matrix where it is 1 if there is at least one t such that G_{i,j,t} = 1 (i.e. at least one temporal edge exists).
F is not normalized which makes comparisions of F across very different networks difficult (could be added).
Examples
--------
This example compares the fluctability of two different networks with the same number of edges.
Below two temporal networks, both with 3 nodes and 3 time-points.
Both get 3 connections.
>>> import teneto
>>> import numpy as np
>>> # Manually specify node (i,j) and temporal (t) indicies.
>>> ind_highF_i = [0,0,1]
>>> ind_highF_j = [1,2,2]
>>> ind_highF_t = [1,2,2]
>>> ind_lowF_i = [0,0,0]
>>> ind_lowF_j = [1,1,1]
>>> ind_lowF_t = [0,1,2]
>>> # Define 2 networks below and set above edges to 1
>>> G_highF = np.zeros([3,3,3])
>>> G_lowF = np.zeros([3,3,3])
>>> G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
>>> G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
The two different networks look like this:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
# Manually specify node (i,j) and temporal (t) indicies.
ind_highF_i = [0,0,1]
ind_highF_j = [1,2,2]
ind_highF_t = [1,2,2]
ind_lowF_i = [0,0,0]
ind_lowF_j = [1,1,1]
ind_lowF_t = [0,1,2]
# Define 2 networks below and set above edges to 1
G_highF = np.zeros([3,3,3])
G_lowF = np.zeros([3,3,3])
G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
fig, ax = plt.subplots(1,2)
teneto.plot.slice_plot(G_highF, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
teneto.plot.slice_plot(G_lowF, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
ax[0].set_title('G_highF')
ax[1].set_title('G_lowF')
ax[0].set_ylim([-0.25,2.25])
ax[1].set_ylim([-0.25,2.25])
plt.tight_layout()
fig.show()
Now calculate the fluctability of the two networks above.
>>> F_high = teneto.networkmeasures.fluctuability(G_highF)
>>> F_high
1.0
>>> F_low = teneto.networkmeasures.fluctuability(G_lowF)
>>> F_low
0.3333333333333333
Here we see that the network with more unique connections has the higher fluctuability.
Reference
---------
.. [fluct-1] Thompson et al (2017) "From static to temporal network theory applications to functional brain connectivity." Network Neuroscience, 2: 1. p.69-99 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00011>`_]
"""
# Get input type (C or G)
netin, _ = process_input(netin, ['C', 'G', 'TN'])
netin[netin != 0] = 1
unique_edges = np.sum(netin, axis=2)
unique_edges[unique_edges > 0] = 1
unique_edges[unique_edges == 0] = 0
fluct = (np.sum(unique_edges)) / np.sum(netin)
return fluct | [
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Fluctuability of temporal networks. This is the variation of the network's edges over time. [fluct-1]_
This is the unique number of edges through time divided by the overall number of edges.
Parameters
----------
netin : array or dict
Temporal network input (graphlet or contact) (nettype: 'bd', 'bu', 'wu', 'wd')
calc : str
Version of fluctuabiility to calcualte. 'global'
Returns
-------
fluct : array
Fluctuability
Notes
------
Fluctuability quantifies the variability of edges.
Given x number of edges, F is higher when those are repeated edges among a smaller set of edges
and lower when there are distributed across more edges.
.. math:: F = {{\sum_{i,j} H_{i,j}} \over {\sum_{i,j,t} G_{i,j,t}}}
where :math:`H_{i,j}` is a binary matrix where it is 1 if there is at least one t such that G_{i,j,t} = 1 (i.e. at least one temporal edge exists).
F is not normalized which makes comparisions of F across very different networks difficult (could be added).
Examples
--------
This example compares the fluctability of two different networks with the same number of edges.
Below two temporal networks, both with 3 nodes and 3 time-points.
Both get 3 connections.
>>> import teneto
>>> import numpy as np
>>> # Manually specify node (i,j) and temporal (t) indicies.
>>> ind_highF_i = [0,0,1]
>>> ind_highF_j = [1,2,2]
>>> ind_highF_t = [1,2,2]
>>> ind_lowF_i = [0,0,0]
>>> ind_lowF_j = [1,1,1]
>>> ind_lowF_t = [0,1,2]
>>> # Define 2 networks below and set above edges to 1
>>> G_highF = np.zeros([3,3,3])
>>> G_lowF = np.zeros([3,3,3])
>>> G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
>>> G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
The two different networks look like this:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
# Manually specify node (i,j) and temporal (t) indicies.
ind_highF_i = [0,0,1]
ind_highF_j = [1,2,2]
ind_highF_t = [1,2,2]
ind_lowF_i = [0,0,0]
ind_lowF_j = [1,1,1]
ind_lowF_t = [0,1,2]
# Define 2 networks below and set above edges to 1
G_highF = np.zeros([3,3,3])
G_lowF = np.zeros([3,3,3])
G_highF[ind_highF_i,ind_highF_j,ind_highF_t] = 1
G_lowF[ind_lowF_i,ind_lowF_j,ind_lowF_t] = 1
fig, ax = plt.subplots(1,2)
teneto.plot.slice_plot(G_highF, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
teneto.plot.slice_plot(G_lowF, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1', '2'])
ax[0].set_title('G_highF')
ax[1].set_title('G_lowF')
ax[0].set_ylim([-0.25,2.25])
ax[1].set_ylim([-0.25,2.25])
plt.tight_layout()
fig.show()
Now calculate the fluctability of the two networks above.
>>> F_high = teneto.networkmeasures.fluctuability(G_highF)
>>> F_high
1.0
>>> F_low = teneto.networkmeasures.fluctuability(G_lowF)
>>> F_low
0.3333333333333333
Here we see that the network with more unique connections has the higher fluctuability.
Reference
---------
.. [fluct-1] Thompson et al (2017) "From static to temporal network theory applications to functional brain connectivity." Network Neuroscience, 2: 1. p.69-99 [`Link <https://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00011>`_] | [
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"through",
"... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/fluctuability.py#L8-L121 | train | r Returns the fluctuability of a temporal network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(0b1010110 + 0o31) + chr(0b10011 + 0o37) + chr(0b101101 + 0o12) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + chr(1296 - 1243) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(436 - 388) + chr(111) + chr(0b110010 + 0o0) + chr(0b11111 + 0o23) + chr(0b110010), ord("\x08")), nzTpIcepk0o8('\x30' + chr(5981 - 5870) + '\061' + '\065' + '\061', ord("\x08")), nzTpIcepk0o8(chr(1388 - 1340) + chr(2681 - 2570) + chr(50) + '\x30' + chr(1613 - 1560), 16357 - 16349), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + '\x31' + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + chr(1643 - 1590) + chr(0b110100), 6475 - 6467), nzTpIcepk0o8('\060' + '\157' + '\061' + chr(0b1011 + 0o47) + '\x31', 0o10), nzTpIcepk0o8(chr(1806 - 1758) + chr(111) + chr(0b10000 + 0o43) + '\x30' + chr(1169 - 1120), 0o10), nzTpIcepk0o8('\060' + chr(10132 - 10021) + chr(0b110010) + chr(1051 - 999) + '\x33', 54363 - 54355), nzTpIcepk0o8(chr(0b10110 + 0o32) + '\x6f' + chr(0b101101 + 0o5) + '\062' + chr(1577 - 1526), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b111110 + 0o61) + chr(0b110101) + chr(0b111 + 0o54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(48), 0o10), nzTpIcepk0o8('\x30' + chr(0b101010 + 0o105) + chr(0b11 + 0o57) + chr(0b110000) + chr(149 - 100), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(136 - 86) + chr(54) + '\060', 39777 - 39769), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b11001 + 0o126) + chr(0b110111) + chr(0b100001 + 0o24), 0b1000), nzTpIcepk0o8(chr(0b10000 + 0o40) + '\157' + chr(1335 - 1284), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1000 + 0o51) + '\x34' + chr(0b110110), 0b1000), nzTpIcepk0o8('\x30' + chr(7915 - 7804) + chr(0b110 + 0o54) + chr(0b110101) + '\060', 3107 - 3099), nzTpIcepk0o8(chr(450 - 402) + chr(4883 - 4772) + '\063' + chr(1703 - 1653) + chr(50), 65417 - 65409), nzTpIcepk0o8('\060' + chr(11515 - 11404) + chr(1973 - 1922) + '\x35' + chr(50), ord("\x08")), nzTpIcepk0o8('\060' + chr(8827 - 8716) + chr(49) + '\063' + chr(50), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110011) + chr(0b110111) + chr(530 - 477), ord("\x08")), nzTpIcepk0o8(chr(1578 - 1530) + '\x6f' + chr(0b110011) + '\x32' + '\066', 0b1000), nzTpIcepk0o8('\x30' + chr(5903 - 5792) + '\x33' + chr(0b110011) + '\065', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(0b100000 + 0o20) + '\067', 62358 - 62350), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x33' + chr(711 - 663) + chr(1590 - 1536), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b110001) + chr(0b110100), 22910 - 22902), nzTpIcepk0o8('\x30' + chr(111) + '\x31' + '\x30' + '\x33', 0b1000), nzTpIcepk0o8(chr(703 - 655) + chr(0b1101111) + chr(0b110010) + chr(0b0 + 0o62) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101011 + 0o10) + chr(0b1100 + 0o45) + chr(0b11 + 0o62), 0b1000), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(0b1011101 + 0o22) + '\x32' + chr(55) + chr(0b100 + 0o60), 965 - 957), nzTpIcepk0o8('\x30' + '\157' + '\x31' + chr(0b110110) + chr(0b10000 + 0o40), 24105 - 24097), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110011) + '\064' + '\x34', 38564 - 38556), nzTpIcepk0o8(chr(48) + chr(9595 - 9484) + chr(0b11011 + 0o26) + chr(0b110101) + chr(50), ord("\x08")), nzTpIcepk0o8(chr(1777 - 1729) + chr(111) + chr(1321 - 1272) + chr(0b110000) + '\065', 21568 - 21560), nzTpIcepk0o8('\x30' + '\157' + chr(2045 - 1995) + '\067', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(0b1100 + 0o53) + chr(0b110010), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(1312 - 1258) + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100110 + 0o13) + chr(808 - 758), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(758 - 710) + chr(5533 - 5422) + '\x35' + chr(0b101011 + 0o5), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x97'), '\x64' + '\145' + '\x63' + chr(0b1101111 + 0o0) + chr(0b111011 + 0o51) + '\x65')(chr(2545 - 2428) + chr(0b1110100) + chr(102) + '\055' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def krCmeZME5I18(i6T3RZXpABN6, hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xde\x04\xfd\x0b\xe4\xe2'), chr(6200 - 6100) + '\x65' + chr(0b1001111 + 0o24) + chr(2878 - 2767) + chr(2165 - 2065) + '\x65')('\x75' + chr(0b110 + 0o156) + chr(1949 - 1847) + chr(129 - 84) + chr(0b101011 + 0o15))):
(i6T3RZXpABN6, zIqcgNgQ9U6F) = RMWMODhhKksQ(i6T3RZXpABN6, [roI3spqORKae(ES5oEprVxulp(b'\xfa'), chr(0b1100100) + '\145' + chr(99) + '\x6f' + chr(100) + chr(0b111110 + 0o47))(chr(117) + chr(116) + chr(0b101111 + 0o67) + '\x2d' + chr(0b100000 + 0o30)), roI3spqORKae(ES5oEprVxulp(b'\xfe'), chr(0b1100100) + '\145' + chr(0b11 + 0o140) + '\157' + '\144' + '\145')(chr(0b1001010 + 0o53) + '\164' + chr(102) + '\055' + chr(1700 - 1644)), roI3spqORKae(ES5oEprVxulp(b'\xed&'), '\x64' + chr(101) + '\143' + chr(2098 - 1987) + chr(0b100101 + 0o77) + chr(0b10 + 0o143))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b10110 + 0o27) + chr(2060 - 2004))])
i6T3RZXpABN6[i6T3RZXpABN6 != nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(111) + '\x30', 8)] = nzTpIcepk0o8(chr(399 - 351) + chr(0b1101111) + '\x31', 23454 - 23446)
qhJYWF6bpBW2 = nDF4gVNx0u9Q.oclC8DLjA_lV(i6T3RZXpABN6, axis=nzTpIcepk0o8(chr(48) + '\157' + '\x32', 0o10))
qhJYWF6bpBW2[qhJYWF6bpBW2 > nzTpIcepk0o8('\060' + '\x6f' + chr(0b101000 + 0o10), 8)] = nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(10949 - 10838) + chr(0b110001), 8)
qhJYWF6bpBW2[qhJYWF6bpBW2 == nzTpIcepk0o8('\x30' + '\157' + chr(0b110000), 8)] = nzTpIcepk0o8('\x30' + chr(10518 - 10407) + '\060', 8)
jEeBWLvlw6PP = nDF4gVNx0u9Q.oclC8DLjA_lV(qhJYWF6bpBW2) / nDF4gVNx0u9Q.oclC8DLjA_lV(i6T3RZXpABN6)
return jEeBWLvlw6PP |
wiheto/teneto | teneto/networkmeasures/topological_overlap.py | topological_overlap | def topological_overlap(tnet, calc='time'):
r"""
Topological overlap quantifies the persistency of edges through time. If two consequtive time-points have similar edges, this becomes high (max 1). If there is high change, this becomes 0.
References: [topo-1]_, [topo-2]_
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Nettype: 'bu'.
calc: str
which version of topological overlap to calculate:
'node' - calculates for each node, averaging over time.
'time' - (default) calculates for each node per time points.
'global' - (default) calculates for each node per time points.
Returns
-------
topo_overlap : array
if calc = 'time', array is (node,time) in size.
if calc = 'node', array is (node) in size.
if calc = 'global', array is (1) in size. The final time point returns as nan.
Notes
------
When edges persist over time, the topological overlap increases. It can be calculated as a global valu, per node, per node-time.
When calc='time', then the topological overlap is:
.. math:: TopoOverlap_{i,t} = {\sum_j G_{i,j,t} G_{i,j,t+1} \over \sqrt{\sum_j G_{i,j,t} \sum_j G_{i,j,t+1}}}
When calc='node', then the topological overlap is the mean of math:`TopoOverlap_{i,t}`:
.. math:: AvgTopoOverlap_{i} = {1 \over T-1} \sum_t TopoOverlap_{i,t}
where T is the number of time-points. This is called the *average topological overlap*.
When calc='global', the *temporal-correlation coefficient* is calculated
.. math:: TempCorrCoeff = {1 \over N} \sum_i AvgTopoOverlap_i
where N is the number of nodes.
For all the three measures above, the value is between 0 and 1 where 0 entails "all edges changes" and 1 entails "no edges change".
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Then make an temporal network with 3 nodes and 4 time-points.
>>> G = np.zeros([3, 3, 3])
>>> i_ind = np.array([0, 0, 0, 0,])
>>> j_ind = np.array([1, 1, 1, 2,])
>>> t_ind = np.array([0, 1, 2, 2,])
>>> G[i_ind, j_ind, t_ind] = 1
>>> G = G + G.transpose([1,0,2]) # Make symmetric
Now the topological overlap can be calculated:
>>> topo_overlap = teneto.networkmeasures.topological_overlap(G)
This returns *topo_overlap* which is a (node,time) array. Looking above at how we defined G,
when t = 0, there is only the edge (0,1). When t = 1, this edge still remains. This means
topo_overlap should equal 1 for node 0 at t=0 and 0 for node 2:
>>> topo_overlap[0,0]
1.0
>>> topo_overlap[2,0]
0.0
At t=2, there is now also an edge between (0,2), this means node 0's topological overlap at t=1 decreases as
its edges have decreased in their persistency at the next time point (i.e. some change has occured). It equals ca. 0.71
>>> topo_overlap[0,1]
0.7071067811865475
If we want the average topological overlap, we simply add the calc argument to be 'node'.
>>> avg_topo_overlap = teneto.networkmeasures.topological_overlap(G, calc='node')
Now this is an array with a length of 3 (one per node).
>>> avg_topo_overlap
array([0.85355339, 1. , 0. ])
Here we see that node 1 had all its connections persist, node 2 had no connections persisting, and node 0 was in between.
To calculate the temporal correlation coefficient,
>>> temp_corr_coeff = teneto.networkmeasures.topological_overlap(G, calc='global')
This produces one value reflecting all of G
>>> temp_corr_coeff
0.617851130197758
References
----------
.. [topo-1] Tang et al (2010) Small-world behavior in time-varying graphs. Phys. Rev. E 81, 055101(R) [`arxiv link <https://arxiv.org/pdf/0909.1712.pdf>`_]
.. [topo-2] Nicosia et al (2013) "Graph Metrics for Temporal Networks" In: Holme P., Saramäki J. (eds) Temporal Networks. Understanding Complex Systems. Springer.
[`arxiv link <https://arxiv.org/pdf/1306.0493.pdf>`_]
"""
tnet = process_input(tnet, ['C', 'G', 'TN'])[0]
numerator = np.sum(tnet[:, :, :-1] * tnet[:, :, 1:], axis=1)
denominator = np.sqrt(
np.sum(tnet[:, :, :-1], axis=1) * np.sum(tnet[:, :, 1:], axis=1))
topo_overlap = numerator / denominator
topo_overlap[np.isnan(topo_overlap)] = 0
if calc == 'time':
# Add missing timepoint as nan to end of time series
topo_overlap = np.hstack(
[topo_overlap, np.zeros([topo_overlap.shape[0], 1])*np.nan])
else:
topo_overlap = np.mean(topo_overlap, axis=1)
if calc == 'node':
pass
elif calc == 'global':
topo_overlap = np.mean(topo_overlap)
return topo_overlap | python | def topological_overlap(tnet, calc='time'):
r"""
Topological overlap quantifies the persistency of edges through time. If two consequtive time-points have similar edges, this becomes high (max 1). If there is high change, this becomes 0.
References: [topo-1]_, [topo-2]_
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Nettype: 'bu'.
calc: str
which version of topological overlap to calculate:
'node' - calculates for each node, averaging over time.
'time' - (default) calculates for each node per time points.
'global' - (default) calculates for each node per time points.
Returns
-------
topo_overlap : array
if calc = 'time', array is (node,time) in size.
if calc = 'node', array is (node) in size.
if calc = 'global', array is (1) in size. The final time point returns as nan.
Notes
------
When edges persist over time, the topological overlap increases. It can be calculated as a global valu, per node, per node-time.
When calc='time', then the topological overlap is:
.. math:: TopoOverlap_{i,t} = {\sum_j G_{i,j,t} G_{i,j,t+1} \over \sqrt{\sum_j G_{i,j,t} \sum_j G_{i,j,t+1}}}
When calc='node', then the topological overlap is the mean of math:`TopoOverlap_{i,t}`:
.. math:: AvgTopoOverlap_{i} = {1 \over T-1} \sum_t TopoOverlap_{i,t}
where T is the number of time-points. This is called the *average topological overlap*.
When calc='global', the *temporal-correlation coefficient* is calculated
.. math:: TempCorrCoeff = {1 \over N} \sum_i AvgTopoOverlap_i
where N is the number of nodes.
For all the three measures above, the value is between 0 and 1 where 0 entails "all edges changes" and 1 entails "no edges change".
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Then make an temporal network with 3 nodes and 4 time-points.
>>> G = np.zeros([3, 3, 3])
>>> i_ind = np.array([0, 0, 0, 0,])
>>> j_ind = np.array([1, 1, 1, 2,])
>>> t_ind = np.array([0, 1, 2, 2,])
>>> G[i_ind, j_ind, t_ind] = 1
>>> G = G + G.transpose([1,0,2]) # Make symmetric
Now the topological overlap can be calculated:
>>> topo_overlap = teneto.networkmeasures.topological_overlap(G)
This returns *topo_overlap* which is a (node,time) array. Looking above at how we defined G,
when t = 0, there is only the edge (0,1). When t = 1, this edge still remains. This means
topo_overlap should equal 1 for node 0 at t=0 and 0 for node 2:
>>> topo_overlap[0,0]
1.0
>>> topo_overlap[2,0]
0.0
At t=2, there is now also an edge between (0,2), this means node 0's topological overlap at t=1 decreases as
its edges have decreased in their persistency at the next time point (i.e. some change has occured). It equals ca. 0.71
>>> topo_overlap[0,1]
0.7071067811865475
If we want the average topological overlap, we simply add the calc argument to be 'node'.
>>> avg_topo_overlap = teneto.networkmeasures.topological_overlap(G, calc='node')
Now this is an array with a length of 3 (one per node).
>>> avg_topo_overlap
array([0.85355339, 1. , 0. ])
Here we see that node 1 had all its connections persist, node 2 had no connections persisting, and node 0 was in between.
To calculate the temporal correlation coefficient,
>>> temp_corr_coeff = teneto.networkmeasures.topological_overlap(G, calc='global')
This produces one value reflecting all of G
>>> temp_corr_coeff
0.617851130197758
References
----------
.. [topo-1] Tang et al (2010) Small-world behavior in time-varying graphs. Phys. Rev. E 81, 055101(R) [`arxiv link <https://arxiv.org/pdf/0909.1712.pdf>`_]
.. [topo-2] Nicosia et al (2013) "Graph Metrics for Temporal Networks" In: Holme P., Saramäki J. (eds) Temporal Networks. Understanding Complex Systems. Springer.
[`arxiv link <https://arxiv.org/pdf/1306.0493.pdf>`_]
"""
tnet = process_input(tnet, ['C', 'G', 'TN'])[0]
numerator = np.sum(tnet[:, :, :-1] * tnet[:, :, 1:], axis=1)
denominator = np.sqrt(
np.sum(tnet[:, :, :-1], axis=1) * np.sum(tnet[:, :, 1:], axis=1))
topo_overlap = numerator / denominator
topo_overlap[np.isnan(topo_overlap)] = 0
if calc == 'time':
# Add missing timepoint as nan to end of time series
topo_overlap = np.hstack(
[topo_overlap, np.zeros([topo_overlap.shape[0], 1])*np.nan])
else:
topo_overlap = np.mean(topo_overlap, axis=1)
if calc == 'node':
pass
elif calc == 'global':
topo_overlap = np.mean(topo_overlap)
return topo_overlap | [
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"... | r"""
Topological overlap quantifies the persistency of edges through time. If two consequtive time-points have similar edges, this becomes high (max 1). If there is high change, this becomes 0.
References: [topo-1]_, [topo-2]_
Parameters
----------
tnet : array, dict
graphlet or contact sequence input. Nettype: 'bu'.
calc: str
which version of topological overlap to calculate:
'node' - calculates for each node, averaging over time.
'time' - (default) calculates for each node per time points.
'global' - (default) calculates for each node per time points.
Returns
-------
topo_overlap : array
if calc = 'time', array is (node,time) in size.
if calc = 'node', array is (node) in size.
if calc = 'global', array is (1) in size. The final time point returns as nan.
Notes
------
When edges persist over time, the topological overlap increases. It can be calculated as a global valu, per node, per node-time.
When calc='time', then the topological overlap is:
.. math:: TopoOverlap_{i,t} = {\sum_j G_{i,j,t} G_{i,j,t+1} \over \sqrt{\sum_j G_{i,j,t} \sum_j G_{i,j,t+1}}}
When calc='node', then the topological overlap is the mean of math:`TopoOverlap_{i,t}`:
.. math:: AvgTopoOverlap_{i} = {1 \over T-1} \sum_t TopoOverlap_{i,t}
where T is the number of time-points. This is called the *average topological overlap*.
When calc='global', the *temporal-correlation coefficient* is calculated
.. math:: TempCorrCoeff = {1 \over N} \sum_i AvgTopoOverlap_i
where N is the number of nodes.
For all the three measures above, the value is between 0 and 1 where 0 entails "all edges changes" and 1 entails "no edges change".
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Then make an temporal network with 3 nodes and 4 time-points.
>>> G = np.zeros([3, 3, 3])
>>> i_ind = np.array([0, 0, 0, 0,])
>>> j_ind = np.array([1, 1, 1, 2,])
>>> t_ind = np.array([0, 1, 2, 2,])
>>> G[i_ind, j_ind, t_ind] = 1
>>> G = G + G.transpose([1,0,2]) # Make symmetric
Now the topological overlap can be calculated:
>>> topo_overlap = teneto.networkmeasures.topological_overlap(G)
This returns *topo_overlap* which is a (node,time) array. Looking above at how we defined G,
when t = 0, there is only the edge (0,1). When t = 1, this edge still remains. This means
topo_overlap should equal 1 for node 0 at t=0 and 0 for node 2:
>>> topo_overlap[0,0]
1.0
>>> topo_overlap[2,0]
0.0
At t=2, there is now also an edge between (0,2), this means node 0's topological overlap at t=1 decreases as
its edges have decreased in their persistency at the next time point (i.e. some change has occured). It equals ca. 0.71
>>> topo_overlap[0,1]
0.7071067811865475
If we want the average topological overlap, we simply add the calc argument to be 'node'.
>>> avg_topo_overlap = teneto.networkmeasures.topological_overlap(G, calc='node')
Now this is an array with a length of 3 (one per node).
>>> avg_topo_overlap
array([0.85355339, 1. , 0. ])
Here we see that node 1 had all its connections persist, node 2 had no connections persisting, and node 0 was in between.
To calculate the temporal correlation coefficient,
>>> temp_corr_coeff = teneto.networkmeasures.topological_overlap(G, calc='global')
This produces one value reflecting all of G
>>> temp_corr_coeff
0.617851130197758
References
----------
.. [topo-1] Tang et al (2010) Small-world behavior in time-varying graphs. Phys. Rev. E 81, 055101(R) [`arxiv link <https://arxiv.org/pdf/0909.1712.pdf>`_]
.. [topo-2] Nicosia et al (2013) "Graph Metrics for Temporal Networks" In: Holme P., Saramäki J. (eds) Temporal Networks. Understanding Complex Systems. Springer.
[`arxiv link <https://arxiv.org/pdf/1306.0493.pdf>`_] | [
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"i... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/topological_overlap.py#L5-L137 | train | r Returns a new topological overlap of the given time - points. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110100) + chr(0b11001 + 0o27), ord("\x08")), nzTpIcepk0o8('\x30' + chr(1066 - 955) + '\066' + '\x33', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(213 - 162) + '\063' + '\067', 0o10), nzTpIcepk0o8('\060' + chr(0b110010 + 0o75) + chr(2147 - 2098) + chr(49) + chr(0b110100), 17255 - 17247), nzTpIcepk0o8(chr(0b100000 + 0o20) + '\x6f' + chr(51) + '\067' + chr(0b110111), 30447 - 30439), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + '\x34' + chr(52), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(49) + '\x33', 0o10), nzTpIcepk0o8('\060' + chr(0b111110 + 0o61) + chr(78 - 27) + chr(55) + chr(0b100111 + 0o12), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061' + chr(49) + '\x35', 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(111) + '\x31' + chr(0b110000) + chr(0b110100), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110010) + '\x35' + '\061', 28661 - 28653), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + chr(48) + chr(0b110101 + 0o1), 0b1000), nzTpIcepk0o8('\060' + chr(5828 - 5717) + chr(1522 - 1472) + chr(0b101101 + 0o5), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110110) + chr(0b110101), 26878 - 26870), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2008 - 1959) + chr(51) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b101010 + 0o105) + chr(0b110011) + chr(54) + chr(153 - 101), 18608 - 18600), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(1879 - 1830) + '\067', 0o10), nzTpIcepk0o8(chr(48) + chr(0b100110 + 0o111) + chr(51) + '\064' + chr(0b110001), 58966 - 58958), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110101 + 0o0) + chr(745 - 690), 40970 - 40962), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111 + 0o0) + chr(0b100110 + 0o13) + '\062' + chr(51), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101001 + 0o11) + chr(49) + chr(2402 - 2350), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x32' + chr(0b110010) + chr(0b11110 + 0o23), 0b1000), nzTpIcepk0o8(chr(48) + chr(10203 - 10092) + '\x31' + chr(0b101010 + 0o11) + chr(777 - 728), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + chr(0b110110) + chr(0b11111 + 0o23), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b100001 + 0o26) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(0b110 + 0o54) + chr(0b10111 + 0o40) + '\x31', 14669 - 14661), nzTpIcepk0o8(chr(643 - 595) + chr(111) + chr(0b10000 + 0o42) + chr(53) + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(51) + '\x31', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101001 + 0o6) + chr(0b100101 + 0o14) + chr(49) + chr(2698 - 2646), 8), nzTpIcepk0o8(chr(0b10 + 0o56) + '\x6f' + chr(0b110001) + chr(0b11 + 0o63) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\061' + chr(0b110001) + chr(397 - 343), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(50) + chr(55) + chr(53), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(51) + chr(1785 - 1737) + chr(2691 - 2636), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(1277 - 1166) + chr(792 - 742) + chr(0b110010) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(55) + '\064', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(1120 - 1070) + '\x30' + chr(0b110001), 52012 - 52004), nzTpIcepk0o8(chr(629 - 581) + chr(111) + '\063' + chr(50) + chr(1863 - 1808), 61675 - 61667), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b1101011 + 0o4) + '\061' + chr(0b110111) + '\x31', 63166 - 63158), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + chr(0b101101 + 0o11) + chr(0b1011 + 0o46), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110101) + '\061', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101101 + 0o10) + chr(0b110000), 9470 - 9462)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x8e'), '\144' + chr(2234 - 2133) + '\143' + chr(111) + chr(100) + chr(0b1100101))(chr(7629 - 7512) + chr(9445 - 9329) + chr(1653 - 1551) + '\x2d' + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def O6FbZugontic(sHR__4_c0Uoo, hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xd4Z\xb2)'), chr(0b1011011 + 0o11) + chr(0b111110 + 0o47) + chr(0b1100011) + chr(111) + '\x64' + chr(101))('\x75' + chr(116) + chr(0b1001000 + 0o36) + chr(45) + chr(56))):
sHR__4_c0Uoo = RMWMODhhKksQ(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b'\xe3'), '\x64' + chr(5532 - 5431) + '\143' + '\x6f' + '\x64' + chr(1575 - 1474))(chr(117) + chr(116) + '\146' + chr(0b10 + 0o53) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xe7'), '\x64' + '\x65' + chr(5106 - 5007) + chr(111) + chr(100) + chr(0b110111 + 0o56))(chr(117) + chr(11524 - 11408) + chr(5412 - 5310) + chr(0b1011 + 0o42) + chr(0b101100 + 0o14)), roI3spqORKae(ES5oEprVxulp(b'\xf4}'), chr(4502 - 4402) + '\145' + chr(6622 - 6523) + chr(0b110010 + 0o75) + '\144' + '\x65')(chr(117) + '\164' + chr(102) + chr(2023 - 1978) + '\070')])[nzTpIcepk0o8(chr(48) + '\157' + chr(0b100110 + 0o12), 58844 - 58836)]
VrZJJDJJ0rBs = nDF4gVNx0u9Q.oclC8DLjA_lV(sHR__4_c0Uoo[:, :, :-nzTpIcepk0o8(chr(0b110000) + '\157' + chr(356 - 307), 0b1000)] * sHR__4_c0Uoo[:, :, nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1350 - 1301), 8):], axis=nzTpIcepk0o8('\060' + '\157' + chr(0b110001), 8))
V6AuPMl7aatS = nDF4gVNx0u9Q.sqrt(nDF4gVNx0u9Q.oclC8DLjA_lV(sHR__4_c0Uoo[:, :, :-nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(393 - 344), 8)], axis=nzTpIcepk0o8(chr(48) + '\157' + '\061', 8)) * nDF4gVNx0u9Q.oclC8DLjA_lV(sHR__4_c0Uoo[:, :, nzTpIcepk0o8(chr(1224 - 1176) + '\157' + chr(0b110001), 8):], axis=nzTpIcepk0o8('\x30' + chr(111) + '\061', 8)))
cimD9jZ7x3Ic = VrZJJDJJ0rBs / V6AuPMl7aatS
cimD9jZ7x3Ic[nDF4gVNx0u9Q.w1q0TwtATQ6X(cimD9jZ7x3Ic)] = nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110000), 8)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xd4Z\xb2)'), '\x64' + '\145' + '\x63' + '\x6f' + '\x64' + chr(0b1100101))(chr(0b111011 + 0o72) + chr(0b1011001 + 0o33) + '\146' + chr(0b101101) + chr(56)):
cimD9jZ7x3Ic = nDF4gVNx0u9Q.hstack([cimD9jZ7x3Ic, nDF4gVNx0u9Q.UmwwEp7MzR6q([cimD9jZ7x3Ic.lhbM092AFW8f[nzTpIcepk0o8('\060' + '\x6f' + chr(0b110000), 8)], nzTpIcepk0o8(chr(0b110000) + chr(9696 - 9585) + '\x31', 8)]) * nDF4gVNx0u9Q.nan])
else:
cimD9jZ7x3Ic = nDF4gVNx0u9Q.JE1frtxECu3x(cimD9jZ7x3Ic, axis=nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(49), 8))
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xce\\\xbb)'), chr(1049 - 949) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(2576 - 2475))(chr(117) + chr(0b1110100) + '\x66' + chr(1487 - 1442) + '\070'):
pass
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xc7_\xb0.\x9e\xc8'), chr(1024 - 924) + chr(0b1000110 + 0o37) + chr(0b0 + 0o143) + chr(0b1101111) + chr(9144 - 9044) + chr(0b1100101))(chr(0b10101 + 0o140) + chr(1532 - 1416) + chr(0b1100110) + chr(195 - 150) + chr(1753 - 1697)):
cimD9jZ7x3Ic = nDF4gVNx0u9Q.JE1frtxECu3x(cimD9jZ7x3Ic)
return cimD9jZ7x3Ic |
wiheto/teneto | teneto/temporalcommunity/recruitment.py | recruitment | def recruitment(temporalcommunities, staticcommunities):
"""
Calculates recruitment coefficient for each node. Recruitment coefficient is the average probability of nodes from the
same static communities being in the same temporal communities at other time-points or during different tasks.
Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Rcoeff : array
recruitment coefficient for each node
References:
-----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett. A Functional
Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec 2;11(12):e1004533.
"""
# make sure the static and temporal communities have the same number of nodes
if staticcommunities.shape[0] != temporalcommunities.shape[0]:
raise ValueError(
'Temporal and static communities have different dimensions')
alleg = allegiance(temporalcommunities)
Rcoeff = np.zeros(len(staticcommunities))
for i, statcom in enumerate(staticcommunities):
Rcoeff[i] = np.mean(alleg[i, staticcommunities == statcom])
return Rcoeff | python | def recruitment(temporalcommunities, staticcommunities):
"""
Calculates recruitment coefficient for each node. Recruitment coefficient is the average probability of nodes from the
same static communities being in the same temporal communities at other time-points or during different tasks.
Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Rcoeff : array
recruitment coefficient for each node
References:
-----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett. A Functional
Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec 2;11(12):e1004533.
"""
# make sure the static and temporal communities have the same number of nodes
if staticcommunities.shape[0] != temporalcommunities.shape[0]:
raise ValueError(
'Temporal and static communities have different dimensions')
alleg = allegiance(temporalcommunities)
Rcoeff = np.zeros(len(staticcommunities))
for i, statcom in enumerate(staticcommunities):
Rcoeff[i] = np.mean(alleg[i, staticcommunities == statcom])
return Rcoeff | [
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same static communities being in the same temporal communities at other time-points or during different tasks.
Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Rcoeff : array
recruitment coefficient for each node
References:
-----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett. A Functional
Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec 2;11(12):e1004533. | [
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"at... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/temporalcommunity/recruitment.py#L5-L44 | train | Calculates the recruitment coefficient for each node in the tree. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(55), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + '\x33', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\067' + chr(0b110100), 56387 - 56379), nzTpIcepk0o8(chr(141 - 93) + chr(0b1101111) + chr(0b110 + 0o53), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b10011 + 0o37) + chr(0b1010 + 0o55) + chr(795 - 744), ord("\x08")), nzTpIcepk0o8(chr(792 - 744) + chr(0b1101111) + chr(50) + '\063' + '\x30', 0o10), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(4004 - 3893) + chr(0b110011) + chr(608 - 554) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001 + 0o4) + '\066', 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(76 - 27) + chr(0b110010) + chr(2500 - 2450), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b11000 + 0o31) + chr(0b110011 + 0o0), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(720 - 671) + chr(0b11 + 0o55) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101100 + 0o3) + '\061' + '\x32' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(52) + chr(50), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + chr(0b110011) + chr(0b100011 + 0o23), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\062' + chr(0b11 + 0o60), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b1100 + 0o45) + '\064', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(1957 - 1906) + chr(0b110000) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b1000 + 0o55) + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110100) + chr(48), 0o10), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(11334 - 11223) + chr(0b100110 + 0o15) + '\061' + '\x32', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2230 - 2181) + chr(680 - 630) + '\x37', 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + '\063' + chr(1713 - 1661), 0b1000), nzTpIcepk0o8('\060' + chr(3433 - 3322) + chr(0b11100 + 0o26) + chr(0b110110) + '\066', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b100100 + 0o113) + '\x31' + chr(0b10010 + 0o45) + chr(55), 33762 - 33754), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1101111) + '\062' + '\x32' + chr(0b110100), 10306 - 10298), nzTpIcepk0o8(chr(48) + chr(4332 - 4221) + '\x33' + '\x37' + chr(0b10110 + 0o37), ord("\x08")), nzTpIcepk0o8(chr(413 - 365) + chr(111) + chr(184 - 135) + '\064' + chr(0b110001), 34504 - 34496), nzTpIcepk0o8(chr(48) + chr(11265 - 11154) + '\062' + chr(1465 - 1413) + '\067', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x37' + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(362 - 314) + chr(0b1101111) + chr(0b110001) + chr(785 - 730), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + '\060' + chr(2611 - 2556), 0b1000), nzTpIcepk0o8(chr(48) + chr(5629 - 5518) + chr(0b110011) + chr(0b110000 + 0o4) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(1540 - 1492) + '\x6f' + '\x32' + chr(0b110000) + chr(1707 - 1653), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1010000 + 0o37) + chr(501 - 446) + '\x34', 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + chr(0b110110) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1410 - 1359) + chr(49) + '\x32', 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b111 + 0o53) + '\x35' + chr(513 - 459), 0o10), nzTpIcepk0o8('\060' + '\157' + '\x31' + chr(0b11 + 0o55) + '\062', 43018 - 43010), nzTpIcepk0o8(chr(565 - 517) + chr(5317 - 5206) + chr(0b1001 + 0o52) + chr(0b110111) + chr(0b1 + 0o65), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(49) + '\x34' + '\x32', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + chr(0b110101) + chr(74 - 26), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'Y'), chr(0b11010 + 0o112) + chr(0b1000000 + 0o45) + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b10011 + 0o142) + chr(116) + '\146' + '\x2d' + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def FeKJSpf7DpzC(skMibVZw0AzJ, gdYBwPOuZcN2):
if roI3spqORKae(gdYBwPOuZcN2, roI3spqORKae(ES5oEprVxulp(b'\x1b{^L\x8b\xa1\xc6o\x14\\x1'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(100) + chr(6734 - 6633))('\165' + '\164' + chr(0b111 + 0o137) + chr(0b101101) + chr(0b100001 + 0o27)))[nzTpIcepk0o8('\x30' + '\x6f' + chr(1185 - 1137), 14910 - 14902)] != roI3spqORKae(skMibVZw0AzJ, roI3spqORKae(ES5oEprVxulp(b'\x1b{^L\x8b\xa1\xc6o\x14\\x1'), '\144' + '\145' + chr(0b1010010 + 0o21) + '\157' + '\144' + '\x65')(chr(117) + chr(9781 - 9665) + chr(102) + chr(673 - 628) + '\070'))[nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101101 + 0o3), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'#vQq\xd4\xea\x95Brj.3\x02\xedgm\xb5\x07C\xea4\xb3\xdb\x12\xe1\x93\x08\xd3Wj\xf4\xc6\xee]\x83\xaf\x8e&\x97\x04\x11vNd\xd5\xec\xd4J;f%9Q\xf7|b\xb2'), chr(0b1011010 + 0o12) + chr(2305 - 2204) + chr(1319 - 1220) + chr(1936 - 1825) + '\x64' + '\145')(chr(7093 - 6976) + chr(3272 - 3156) + chr(0b1001111 + 0o27) + chr(1435 - 1390) + chr(0b1 + 0o67)))
ZdqkC4eb_1iG = SYo6trls4lBs(skMibVZw0AzJ)
miF3VLYKMF4C = nDF4gVNx0u9Q.UmwwEp7MzR6q(ftfygxgFas5X(gdYBwPOuZcN2))
for (ZlbFMSG8gCoF, FttBGY5yyc4Q) in _kV_Bomx8PZ4(gdYBwPOuZcN2):
miF3VLYKMF4C[ZlbFMSG8gCoF] = nDF4gVNx0u9Q.JE1frtxECu3x(ZdqkC4eb_1iG[ZlbFMSG8gCoF, gdYBwPOuZcN2 == FttBGY5yyc4Q])
return miF3VLYKMF4C |
wiheto/teneto | teneto/plot/circle_plot.py | circle_plot | def circle_plot(netIn, ax, nodelabels=None, linestyle='k-', nodesize=1000, cmap='Set2'):
r'''
Function draws "circle plot" and exports axis handles
Parameters
-------------
netIn : temporal network input (graphlet or contact)
ax : matplotlib ax handles.
nodelabels : list
nodes labels. List of strings
linestyle : str
line style
nodesize : int
size of nodes
cmap : str
matplotlib colormap
Returns
-------
ax : axis handle
Example
-------
>>> import teneto
>>> import numpy
>>> import matplotlib.pyplot as plt
>>> G = np.zeros([6, 6])
>>> i = [0, 0, 0, 1, 2, 3, 4]
>>> j = [3, 4, 5, 5, 4, 5, 5]
>>> G[i, j] = 1
>>> fig, ax = plt.subplots(1)
>>> ax = teneto.plot.circle_plot(G, ax)
>>> fig.show()
.. plot::
import teneto
import numpy
import matplotlib.pyplot as plt
G = np.zeros([6, 6])
i = [0, 0, 0, 1, 2, 3, 4]
j = [3, 4, 5, 5, 4, 5, 5]
G[i, j] = 1
fig, ax = plt.subplots(1)
teneto.plot.circle_plot(G, ax)
fig.show()
'''
# Get input type (C or G)
inputType = checkInput(netIn, conMat=1)
if nodelabels is None:
nodelabels = []
# Convert C representation to G
if inputType == 'M':
shape = np.shape(netIn)
edg = np.where(np.abs(netIn) > 0)
contacts = [tuple([edg[0][i], edg[1][i]])
for i in range(0, len(edg[0]))]
netIn = {}
netIn['contacts'] = contacts
netIn['netshape'] = shape
elif inputType == 'G':
netIn = graphlet2contact(netIn)
inputType = 'C'
if inputType == 'C':
edgeList = [tuple(np.array(e[0:2]) + e[2] * netIn['netshape'][0])
for e in netIn['contacts']]
elif inputType == 'M':
edgeList = netIn['contacts']
n = netIn['netshape'][0]
# Get positions of node on unit circle
posx = [math.cos((2 * math.pi * i) / n) for i in range(0, n)]
posy = [math.sin((2 * math.pi * i) / n) for i in range(0, n)]
# Get Bezier lines in a circle
cmap = cm.get_cmap(cmap)(np.linspace(0, 1, n))
for edge in edgeList:
bvx, bvy = bezier_circle(
(posx[edge[0]], posy[edge[0]]), (posx[edge[1]], posy[edge[1]]), 20)
ax.plot(bvx, bvy, linestyle, zorder=0)
for i in range(n):
ax.scatter(posx[i], posy[i], s=nodesize, c=cmap[i], zorder=1)
# Remove things that make plot unpretty
ax.set_yticklabels([])
ax.set_xticklabels([])
ax.set_yticks([])
ax.set_xticks([])
ax.set_frame_on(False)
# make plot a square
x0, x1 = ax.get_xlim()
y0, y1 = ax.get_ylim()
ax.set_aspect((x1 - x0) / (y1 - y0))
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)
return ax | python | def circle_plot(netIn, ax, nodelabels=None, linestyle='k-', nodesize=1000, cmap='Set2'):
r'''
Function draws "circle plot" and exports axis handles
Parameters
-------------
netIn : temporal network input (graphlet or contact)
ax : matplotlib ax handles.
nodelabels : list
nodes labels. List of strings
linestyle : str
line style
nodesize : int
size of nodes
cmap : str
matplotlib colormap
Returns
-------
ax : axis handle
Example
-------
>>> import teneto
>>> import numpy
>>> import matplotlib.pyplot as plt
>>> G = np.zeros([6, 6])
>>> i = [0, 0, 0, 1, 2, 3, 4]
>>> j = [3, 4, 5, 5, 4, 5, 5]
>>> G[i, j] = 1
>>> fig, ax = plt.subplots(1)
>>> ax = teneto.plot.circle_plot(G, ax)
>>> fig.show()
.. plot::
import teneto
import numpy
import matplotlib.pyplot as plt
G = np.zeros([6, 6])
i = [0, 0, 0, 1, 2, 3, 4]
j = [3, 4, 5, 5, 4, 5, 5]
G[i, j] = 1
fig, ax = plt.subplots(1)
teneto.plot.circle_plot(G, ax)
fig.show()
'''
# Get input type (C or G)
inputType = checkInput(netIn, conMat=1)
if nodelabels is None:
nodelabels = []
# Convert C representation to G
if inputType == 'M':
shape = np.shape(netIn)
edg = np.where(np.abs(netIn) > 0)
contacts = [tuple([edg[0][i], edg[1][i]])
for i in range(0, len(edg[0]))]
netIn = {}
netIn['contacts'] = contacts
netIn['netshape'] = shape
elif inputType == 'G':
netIn = graphlet2contact(netIn)
inputType = 'C'
if inputType == 'C':
edgeList = [tuple(np.array(e[0:2]) + e[2] * netIn['netshape'][0])
for e in netIn['contacts']]
elif inputType == 'M':
edgeList = netIn['contacts']
n = netIn['netshape'][0]
# Get positions of node on unit circle
posx = [math.cos((2 * math.pi * i) / n) for i in range(0, n)]
posy = [math.sin((2 * math.pi * i) / n) for i in range(0, n)]
# Get Bezier lines in a circle
cmap = cm.get_cmap(cmap)(np.linspace(0, 1, n))
for edge in edgeList:
bvx, bvy = bezier_circle(
(posx[edge[0]], posy[edge[0]]), (posx[edge[1]], posy[edge[1]]), 20)
ax.plot(bvx, bvy, linestyle, zorder=0)
for i in range(n):
ax.scatter(posx[i], posy[i], s=nodesize, c=cmap[i], zorder=1)
# Remove things that make plot unpretty
ax.set_yticklabels([])
ax.set_xticklabels([])
ax.set_yticks([])
ax.set_xticks([])
ax.set_frame_on(False)
# make plot a square
x0, x1 = ax.get_xlim()
y0, y1 = ax.get_ylim()
ax.set_aspect((x1 - x0) / (y1 - y0))
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_visible(False)
return ax | [
"def",
"circle_plot",
"(",
"netIn",
",",
"ax",
",",
"nodelabels",
"=",
"None",
",",
"linestyle",
"=",
"'k-'",
",",
"nodesize",
"=",
"1000",
",",
"cmap",
"=",
"'Set2'",
")",
":",
"# Get input type (C or G)",
"inputType",
"=",
"checkInput",
"(",
"netIn",
","... | r'''
Function draws "circle plot" and exports axis handles
Parameters
-------------
netIn : temporal network input (graphlet or contact)
ax : matplotlib ax handles.
nodelabels : list
nodes labels. List of strings
linestyle : str
line style
nodesize : int
size of nodes
cmap : str
matplotlib colormap
Returns
-------
ax : axis handle
Example
-------
>>> import teneto
>>> import numpy
>>> import matplotlib.pyplot as plt
>>> G = np.zeros([6, 6])
>>> i = [0, 0, 0, 1, 2, 3, 4]
>>> j = [3, 4, 5, 5, 4, 5, 5]
>>> G[i, j] = 1
>>> fig, ax = plt.subplots(1)
>>> ax = teneto.plot.circle_plot(G, ax)
>>> fig.show()
.. plot::
import teneto
import numpy
import matplotlib.pyplot as plt
G = np.zeros([6, 6])
i = [0, 0, 0, 1, 2, 3, 4]
j = [3, 4, 5, 5, 4, 5, 5]
G[i, j] = 1
fig, ax = plt.subplots(1)
teneto.plot.circle_plot(G, ax)
fig.show() | [
"r"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/plot/circle_plot.py#L9-L108 | train | r Draws a circle plot of the current state of the node. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(1611 - 1500) + chr(53) + chr(49), 22405 - 22397), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b1011001 + 0o26) + chr(54) + '\062', ord("\x08")), nzTpIcepk0o8(chr(2067 - 2019) + chr(1956 - 1845) + chr(0b10011 + 0o37) + chr(1736 - 1681) + chr(0b110001), 47127 - 47119), nzTpIcepk0o8(chr(48) + chr(7601 - 7490) + '\x33' + chr(0b10000 + 0o43) + chr(0b101100 + 0o4), 25077 - 25069), nzTpIcepk0o8('\x30' + chr(0b101100 + 0o103) + chr(0b1011 + 0o47) + chr(48) + '\064', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(1555 - 1506) + chr(0b110100), 34589 - 34581), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(55) + '\x37', 20025 - 20017), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b10001 + 0o41) + chr(51) + chr(494 - 445), 0o10), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b11101 + 0o122) + '\x31' + '\060' + chr(0b101110 + 0o4), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b100101 + 0o14) + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + '\x32' + chr(0b110100) + '\x34', 0b1000), nzTpIcepk0o8(chr(1770 - 1722) + '\x6f' + chr(0b110100) + chr(0b100010 + 0o17), 0b1000), nzTpIcepk0o8('\060' + chr(0b101111 + 0o100) + '\063' + chr(0b11001 + 0o27) + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\064' + chr(55), ord("\x08")), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(111) + chr(2188 - 2139) + chr(528 - 479) + chr(0b10110 + 0o33), 8), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(8731 - 8620) + chr(51) + '\065' + chr(53), 38644 - 38636), nzTpIcepk0o8('\x30' + '\x6f' + '\061' + chr(0b11010 + 0o34) + chr(0b110110), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\063' + chr(0b11100 + 0o25) + chr(0b110001), 0b1000), nzTpIcepk0o8('\060' + chr(3082 - 2971) + '\x31' + '\x34', 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b110011) + chr(0b110101) + chr(0b100011 + 0o24), 21686 - 21678), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x33' + chr(0b110000) + chr(0b110 + 0o55), 47026 - 47018), nzTpIcepk0o8(chr(0b101110 + 0o2) + '\x6f' + '\x31' + chr(0b110001) + '\067', 0b1000), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(111) + chr(0b10101 + 0o35) + chr(0b110110) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111 + 0o0) + chr(0b110010) + chr(1035 - 980), 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(0b110001) + chr(0b101011 + 0o14) + '\064', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(1787 - 1738) + chr(0b1 + 0o63) + '\x31', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(1922 - 1872) + chr(0b110001) + chr(53), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(0b110000) + chr(51), 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(49) + chr(52), 0o10), nzTpIcepk0o8(chr(1905 - 1857) + chr(111) + chr(1758 - 1707) + chr(49) + chr(2826 - 2771), 0b1000), nzTpIcepk0o8(chr(48) + chr(350 - 239) + chr(1673 - 1622) + chr(53) + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(5132 - 5021) + '\062' + '\x31' + '\x32', 5350 - 5342), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + '\x37' + '\066', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(2568 - 2457) + '\x34' + chr(50), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + chr(744 - 690) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(11192 - 11081) + chr(51) + chr(54) + chr(0b110011), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(2383 - 2330), ord("\x08")), nzTpIcepk0o8(chr(1136 - 1088) + chr(4045 - 3934) + '\x33' + chr(0b110100), 49416 - 49408), nzTpIcepk0o8('\x30' + '\157' + '\x31' + '\064' + '\062', 51700 - 51692), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101111) + chr(51) + chr(2120 - 2069) + '\x33', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + '\x35' + '\x30', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x07'), '\144' + chr(0b1011010 + 0o13) + chr(0b1100011) + '\x6f' + chr(0b1100011 + 0o1) + chr(101))(chr(8906 - 8789) + chr(116) + chr(0b1011110 + 0o10) + chr(45) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ginFAITU_T9u(iiDq3qYD297g, ZtB7KOLCW2Hk, peceWFd8zCeQ=None, uOQjmwOyVJkK=roI3spqORKae(ES5oEprVxulp(b'B\x1f'), '\x64' + chr(0b101001 + 0o74) + '\x63' + '\x6f' + chr(0b1100100) + chr(0b110000 + 0o65))(chr(1534 - 1417) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000)), VFoip5XnYYgn=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100100 + 0o15) + chr(1837 - 1782) + '\x35' + '\x30', 0b1000), Yd7Rjip5B5Mk=roI3spqORKae(ES5oEprVxulp(b'zW\xcd\xea'), chr(100) + chr(673 - 572) + '\x63' + chr(0b1001 + 0o146) + '\x64' + chr(101))('\x75' + '\x74' + '\x66' + '\x2d' + '\070')):
bRKqEoZovmfD = dYZ8bkky6RkX(iiDq3qYD297g, conMat=nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b101100 + 0o5), 5152 - 5144))
if peceWFd8zCeQ is None:
peceWFd8zCeQ = []
if bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'd'), chr(0b1101 + 0o127) + chr(101) + chr(0b101 + 0o136) + chr(0b1111 + 0o140) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(206 - 161) + '\x38'):
lhbM092AFW8f = nDF4gVNx0u9Q.lhbM092AFW8f(iiDq3qYD297g)
By5_KcHTns73 = nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.zQBGwUT7UU8L(iiDq3qYD297g) > nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b10001 + 0o136) + chr(2125 - 2077), 0b1000))
AAopxL2OQh5W = [nfNqtJL5aRaY([By5_KcHTns73[nzTpIcepk0o8('\x30' + '\157' + '\060', 8)][ZlbFMSG8gCoF], By5_KcHTns73[nzTpIcepk0o8(chr(2010 - 1962) + '\157' + '\061', 8)][ZlbFMSG8gCoF]]) for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8('\060' + '\x6f' + chr(48), 8), ftfygxgFas5X(By5_KcHTns73[nzTpIcepk0o8('\x30' + '\157' + '\x30', 8)]))]
iiDq3qYD297g = {}
iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'J]\xd7\xac\xe5o\x0b\xea'), chr(0b1100100) + chr(101) + chr(1275 - 1176) + '\157' + '\x64' + chr(0b101100 + 0o71))('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(2147 - 2091))] = AAopxL2OQh5W
iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'GW\xcd\xab\xecm\x0f\xfc'), chr(100) + '\x65' + '\143' + chr(0b1100111 + 0o10) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(7241 - 7125) + '\146' + chr(877 - 832) + '\070')] = lhbM092AFW8f
elif bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'n'), chr(0b1000 + 0o134) + chr(0b11110 + 0o107) + chr(6079 - 5980) + '\x6f' + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + '\055' + chr(1099 - 1043)):
iiDq3qYD297g = VWj208wHyNiD(iiDq3qYD297g)
bRKqEoZovmfD = roI3spqORKae(ES5oEprVxulp(b'j'), chr(2668 - 2568) + chr(7431 - 7330) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(8931 - 8830))(chr(3685 - 3568) + '\x74' + chr(102) + chr(45) + '\070')
if bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'j'), chr(0b10010 + 0o122) + '\145' + '\x63' + '\x6f' + chr(5562 - 5462) + chr(101))('\x75' + chr(0b1100011 + 0o21) + chr(102) + chr(45) + chr(56)):
Samr5AsGKqEg = [nfNqtJL5aRaY(nDF4gVNx0u9Q.Tn6rGr7XTM7t(wgf0sgcu_xPL[nzTpIcepk0o8(chr(1048 - 1000) + chr(111) + chr(48), 8):nzTpIcepk0o8(chr(1922 - 1874) + '\157' + chr(50), ord("\x08"))]) + wgf0sgcu_xPL[nzTpIcepk0o8(chr(2275 - 2227) + chr(6604 - 6493) + chr(0b110010), 8)] * iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'GW\xcd\xab\xecm\x0f\xfc'), chr(0b1100 + 0o130) + '\145' + chr(99) + chr(10431 - 10320) + chr(0b1011101 + 0o7) + chr(0b1100101))(chr(117) + chr(0b1100010 + 0o22) + chr(0b100010 + 0o104) + '\055' + '\070')][nzTpIcepk0o8(chr(1975 - 1927) + chr(6336 - 6225) + chr(0b110000), 8)]) for wgf0sgcu_xPL in iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'J]\xd7\xac\xe5o\x0b\xea'), '\x64' + chr(101) + '\x63' + '\157' + '\144' + chr(3976 - 3875))('\165' + '\x74' + chr(0b11010 + 0o114) + '\x2d' + chr(0b1101 + 0o53))]]
elif bRKqEoZovmfD == roI3spqORKae(ES5oEprVxulp(b'd'), '\x64' + chr(3706 - 3605) + '\x63' + chr(7265 - 7154) + chr(100) + chr(0b100001 + 0o104))('\165' + '\164' + chr(102) + chr(0b101101) + chr(0b111000)):
Samr5AsGKqEg = iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'J]\xd7\xac\xe5o\x0b\xea'), '\x64' + chr(0b110011 + 0o62) + chr(0b1100011) + chr(4753 - 4642) + chr(0b111110 + 0o46) + chr(101))(chr(0b1110101) + chr(116) + '\146' + chr(0b11010 + 0o23) + '\x38')]
NoZxuO7wjArS = iiDq3qYD297g[roI3spqORKae(ES5oEprVxulp(b'GW\xcd\xab\xecm\x0f\xfc'), chr(521 - 421) + chr(101) + chr(99) + '\157' + chr(0b100 + 0o140) + chr(101))(chr(0b1011110 + 0o27) + chr(116) + chr(0b1100110) + chr(1545 - 1500) + '\x38')][nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000), 8)]
wtrtU8euwW6u = [aQg01EfWg1cd.mLriLohwQ9NU(nzTpIcepk0o8(chr(48) + '\x6f' + chr(1840 - 1790), 8) * aQg01EfWg1cd.nMrXkRpTQ9Oo * ZlbFMSG8gCoF / NoZxuO7wjArS) for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b101 + 0o53) + chr(111) + chr(0b110000), 8), NoZxuO7wjArS)]
ps0ChIddb6Cv = [aQg01EfWg1cd.TMleLVztqSLZ(nzTpIcepk0o8('\x30' + chr(0b110110 + 0o71) + chr(0b110010), 8) * aQg01EfWg1cd.nMrXkRpTQ9Oo * ZlbFMSG8gCoF / NoZxuO7wjArS) for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(1031 - 983) + '\157' + '\x30', 8), NoZxuO7wjArS)]
Yd7Rjip5B5Mk = SirlEfSWE39q.get_cmap(Yd7Rjip5B5Mk)(nDF4gVNx0u9Q.G2CdtdchVPQE(nzTpIcepk0o8('\060' + '\x6f' + '\060', 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(254 - 205), 8), NoZxuO7wjArS))
for gMt_geOSZhSi in Samr5AsGKqEg:
(EibuIlKuPc1E, mYduPZj32ixv) = GiJ1TCTxmMvq((wtrtU8euwW6u[gMt_geOSZhSi[nzTpIcepk0o8(chr(0b110000) + chr(11382 - 11271) + chr(0b1001 + 0o47), 8)]], ps0ChIddb6Cv[gMt_geOSZhSi[nzTpIcepk0o8(chr(0b110000) + chr(0b1101010 + 0o5) + chr(0b11001 + 0o27), 8)]]), (wtrtU8euwW6u[gMt_geOSZhSi[nzTpIcepk0o8(chr(48) + '\x6f' + '\061', 8)]], ps0ChIddb6Cv[gMt_geOSZhSi[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(773 - 724), 8)]]), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + '\x34', ord("\x08")))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'Y^\xd6\xac'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(8630 - 8513) + chr(116) + '\x66' + '\055' + chr(0b111000)))(EibuIlKuPc1E, mYduPZj32ixv, uOQjmwOyVJkK, zorder=nzTpIcepk0o8(chr(48) + '\157' + chr(2056 - 2008), 8))
for ZlbFMSG8gCoF in bbT2xIe5pzk7(NoZxuO7wjArS):
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZQ\xd8\xac\xf0i\r'), '\144' + chr(6850 - 6749) + chr(9081 - 8982) + '\x6f' + '\144' + '\145')(chr(0b1001100 + 0o51) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(wtrtU8euwW6u[ZlbFMSG8gCoF], ps0ChIddb6Cv[ZlbFMSG8gCoF], s=VFoip5XnYYgn, c=Yd7Rjip5B5Mk[ZlbFMSG8gCoF], zorder=nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31', 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xfdx\x16\xfa)%\xc5C\xa0\xcb:'), chr(3509 - 3409) + '\x65' + chr(99) + chr(5739 - 5628) + '\144' + chr(0b1100101))('\165' + '\x74' + '\x66' + chr(0b11011 + 0o22) + chr(0b111000)))([])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xfcx\x16\xfa)%\xc5C\xa0\xcb:'), chr(0b10011 + 0o121) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(10014 - 9913))('\165' + chr(0b11101 + 0o127) + '\x66' + chr(45) + chr(56)))([])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xfdx\x16\xfa):'), '\x64' + chr(3306 - 3205) + '\x63' + chr(111) + chr(100) + '\145')('\x75' + '\164' + chr(0b1100110) + chr(823 - 778) + '\070'))([])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xfcx\x16\xfa):'), chr(100) + chr(1063 - 962) + chr(409 - 310) + chr(7497 - 7386) + chr(100) + '\145')(chr(0b1110101) + '\x74' + '\146' + '\x2d' + '\x38'))([])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b"ZW\xcd\x87\xe2~\x1e\xf4'\x16\xcbO"), chr(3962 - 3862) + chr(0b10110 + 0o117) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1000110 + 0o37))('\165' + '\164' + '\x66' + chr(0b11001 + 0o24) + '\070'))(nzTpIcepk0o8('\060' + '\x6f' + chr(1644 - 1596), 8))
(oS9ptP4AxZuT, yZDwVNk0Rmbq) = ZtB7KOLCW2Hk.get_xlim()
(_TQBZ9osXv1N, zZzCuXvNcn0e) = ZtB7KOLCW2Hk.get_ylim()
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xe5\x7f\x0f\xfc!='), '\144' + chr(101) + chr(0b110111 + 0o54) + '\x6f' + chr(5926 - 5826) + chr(101))('\x75' + chr(8685 - 8569) + chr(10186 - 10084) + chr(0b1001 + 0o44) + '\070'))((yZDwVNk0Rmbq - oS9ptP4AxZuT) / (zZzCuXvNcn0e - _TQBZ9osXv1N))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b']]\xc9'), '\x64' + chr(7782 - 7681) + chr(9062 - 8963) + '\x6f' + chr(100) + chr(101))(chr(0b110000 + 0o105) + chr(0b1110100) + chr(102) + chr(0b0 + 0o55) + chr(2448 - 2392))], roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xf2e\x0c\xf0 %\xc1'), chr(0b1100100) + chr(0b1001001 + 0o34) + '\x63' + chr(0b100 + 0o153) + '\144' + '\145')(chr(117) + '\164' + '\x66' + '\055' + chr(0b100010 + 0o26)))(nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x30', 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'[[\xde\xb0\xf0'), '\144' + '\x65' + chr(3563 - 3464) + chr(0b10011 + 0o134) + chr(0b1100100) + '\x65')('\x75' + chr(13270 - 13154) + chr(102) + chr(45) + chr(0b111000))], roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xf2e\x0c\xf0 %\xc1'), '\144' + chr(0b1100101) + chr(0b111001 + 0o52) + chr(5442 - 5331) + '\144' + chr(0b110010 + 0o63))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(1323 - 1267)))(nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b10100 + 0o34), 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'EW\xdf\xac'), '\144' + chr(441 - 340) + '\x63' + chr(5008 - 4897) + '\144' + chr(2736 - 2635))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(45) + chr(56))], roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xf2e\x0c\xf0 %\xc1'), chr(0b10000 + 0o124) + '\145' + '\143' + '\x6f' + chr(3048 - 2948) + '\x65')(chr(2423 - 2306) + chr(0b11101 + 0o127) + '\x66' + '\055' + chr(2405 - 2349)))(nzTpIcepk0o8('\x30' + chr(0b11110 + 0o121) + chr(2119 - 2071), 8))
roI3spqORKae(ZtB7KOLCW2Hk.spines[roI3spqORKae(ES5oEprVxulp(b'K]\xcd\xac\xeba'), '\x64' + chr(101) + chr(8566 - 8467) + '\157' + chr(0b1001101 + 0o27) + chr(1377 - 1276))(chr(0b10 + 0o163) + '\164' + '\x66' + '\055' + chr(0b111000))], roI3spqORKae(ES5oEprVxulp(b'ZW\xcd\x87\xf2e\x0c\xf0 %\xc1'), chr(0b1100100) + chr(0b10100 + 0o121) + chr(0b1100011) + chr(0b101101 + 0o102) + '\144' + chr(101))(chr(0b101110 + 0o107) + '\x74' + chr(8288 - 8186) + chr(0b101101) + chr(0b100001 + 0o27)))(nzTpIcepk0o8(chr(939 - 891) + '\157' + chr(0b1110 + 0o42), 8))
return ZtB7KOLCW2Hk |
wiheto/teneto | teneto/temporalcommunity/integration.py | integration | def integration(temporalcommunities, staticcommunities):
"""
Calculates the integration coefficient for each node. Measures the average probability
that a node is in the same community as nodes from other systems.
Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Icoeff : array
integration coefficient for each node
References:
----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett.
A Functional Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec
2;11(12):e1004533.
"""
# make sure the static and temporal communities have the same number of nodes
if staticcommunities.shape[0] != temporalcommunities.shape[0]:
raise ValueError(
'Temporal and static communities have different dimensions')
alleg = allegiance(temporalcommunities)
Icoeff = np.zeros(len(staticcommunities))
# calc integration for each node
for i, statcom in enumerate(len(staticcommunities)):
Icoeff[i] = np.mean(alleg[i, staticcommunities != statcom])
return Icoeff | python | def integration(temporalcommunities, staticcommunities):
"""
Calculates the integration coefficient for each node. Measures the average probability
that a node is in the same community as nodes from other systems.
Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Icoeff : array
integration coefficient for each node
References:
----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett.
A Functional Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec
2;11(12):e1004533.
"""
# make sure the static and temporal communities have the same number of nodes
if staticcommunities.shape[0] != temporalcommunities.shape[0]:
raise ValueError(
'Temporal and static communities have different dimensions')
alleg = allegiance(temporalcommunities)
Icoeff = np.zeros(len(staticcommunities))
# calc integration for each node
for i, statcom in enumerate(len(staticcommunities)):
Icoeff[i] = np.mean(alleg[i, staticcommunities != statcom])
return Icoeff | [
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Parameters:
------------
temporalcommunities : array
temporal communities vector (node,time)
staticcommunities : array
Static communities vector for each node
Returns:
-------
Icoeff : array
integration coefficient for each node
References:
----------
Danielle S. Bassett, Muzhi Yang, Nicholas F. Wymbs, Scott T. Grafton.
Learning-Induced Autonomy of Sensorimotor Systems. Nat Neurosci. 2015 May;18(5):744-51.
Marcelo Mattar, Michael W. Cole, Sharon Thompson-Schill, Danielle S. Bassett.
A Functional Cartography of Cognitive Systems. PLoS Comput Biol. 2015 Dec
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/temporalcommunity/integration.py#L5-L45 | train | Calculates the integration coefficient for each node. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + '\062', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1011 + 0o144) + chr(0b110011) + chr(0b110110) + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\061' + chr(0b110100) + chr(1343 - 1289), 61879 - 61871), nzTpIcepk0o8('\060' + chr(7778 - 7667) + chr(0b100101 + 0o16) + chr(48) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b1111 + 0o44) + chr(54) + chr(1631 - 1576), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110010) + chr(212 - 161) + chr(649 - 596), 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\062' + chr(1309 - 1256) + '\066', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b111011 + 0o64) + '\x31' + '\065' + '\x31', 16902 - 16894), nzTpIcepk0o8('\060' + '\157' + '\x32' + chr(1173 - 1122) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(2202 - 2154) + chr(111) + chr(1749 - 1695) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(208 - 160) + chr(0b11110 + 0o121) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b100000 + 0o117) + '\065' + chr(0b10 + 0o57), 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(54) + '\x37', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b101011 + 0o104) + '\x31' + '\061' + '\061', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(612 - 563) + '\x37' + chr(844 - 796), 0o10), nzTpIcepk0o8('\060' + chr(6591 - 6480) + chr(0b11101 + 0o25) + '\067' + chr(49), 12836 - 12828), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + chr(54) + chr(52), 53625 - 53617), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x37' + '\060', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(1402 - 1353) + chr(0b110001), 4500 - 4492), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(0b11110 + 0o121) + chr(0b110011) + chr(54) + '\063', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b110010 + 0o75) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(2063 - 2013) + chr(0b100100 + 0o15) + chr(0b110100), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + '\063', 46878 - 46870), nzTpIcepk0o8(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b1100 + 0o45) + '\x31' + chr(0b110011), 56392 - 56384), nzTpIcepk0o8('\060' + chr(111) + chr(2082 - 2033) + chr(55) + chr(510 - 459), 0o10), nzTpIcepk0o8('\x30' + chr(3592 - 3481) + '\x31' + '\x35' + chr(0b11000 + 0o37), 37410 - 37402), nzTpIcepk0o8(chr(1200 - 1152) + '\x6f' + '\062' + chr(0b101 + 0o56) + '\064', 29879 - 29871), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b100111 + 0o15) + chr(54), 8), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b110010), 8), nzTpIcepk0o8('\060' + '\157' + chr(0b10110 + 0o35) + chr(48) + chr(0b110110), 8), nzTpIcepk0o8('\x30' + chr(1641 - 1530) + chr(0b110010) + '\x36' + '\x33', ord("\x08")), nzTpIcepk0o8(chr(2131 - 2083) + chr(111) + chr(2290 - 2239) + chr(1164 - 1113) + '\063', 39424 - 39416), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(51) + chr(0b110001) + chr(0b110111), 34606 - 34598), nzTpIcepk0o8(chr(48) + chr(111) + chr(746 - 691) + '\x32', 36543 - 36535), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(3483 - 3372) + chr(0b110001) + chr(0b100 + 0o55) + chr(51), 8), nzTpIcepk0o8('\060' + chr(0b111010 + 0o65) + chr(0b1001 + 0o52) + chr(0b110101) + '\063', 0o10), nzTpIcepk0o8(chr(48) + chr(0b100010 + 0o115) + '\x33' + chr(49) + chr(55), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b100001 + 0o20) + chr(48), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\064' + chr(1910 - 1858), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32', 48052 - 48044)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(0b1101111) + '\065' + chr(48), 26361 - 26353)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'4'), chr(0b1001011 + 0o31) + chr(0b1100101) + chr(0b101010 + 0o71) + '\157' + chr(100) + chr(5531 - 5430))('\165' + chr(0b1010011 + 0o41) + '\x66' + chr(746 - 701) + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def SxmzYwdeCeaQ(skMibVZw0AzJ, gdYBwPOuZcN2):
if roI3spqORKae(gdYBwPOuZcN2, roI3spqORKae(ES5oEprVxulp(b'v\x9e\x04\x8b\xc7\xa4\x9c(\xd8a>O'), chr(0b1100100) + '\x65' + '\143' + chr(9263 - 9152) + '\144' + chr(101))('\165' + chr(5150 - 5034) + '\146' + chr(0b101101) + chr(56)))[nzTpIcepk0o8('\060' + chr(111) + chr(48), 42131 - 42123)] != roI3spqORKae(skMibVZw0AzJ, roI3spqORKae(ES5oEprVxulp(b'v\x9e\x04\x8b\xc7\xa4\x9c(\xd8a>O'), '\144' + chr(0b1100101) + chr(3845 - 3746) + '\157' + chr(0b1011001 + 0o13) + chr(2991 - 2890))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b100101 + 0o10) + chr(0b1011 + 0o55)))[nzTpIcepk0o8('\060' + chr(0b110000 + 0o77) + chr(0b1010 + 0o46), 8)]:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'N\x93\x0b\xb6\x98\xef\xcf\x05\xbeWhM\xd7:\x0c\xd8\xc0Qj\xd3b\xe3n&\x0e\x01\xf5\x12s\xa3\xc0\xfb\xa7[=\x8e\xeflMd|\x93\x14\xa3\x99\xe9\x8e\r\xf7[cG\x84 \x17\xd7\xc7'), chr(3579 - 3479) + chr(0b1100101) + chr(0b1011011 + 0o10) + '\157' + '\144' + chr(0b100001 + 0o104))('\165' + chr(116) + chr(0b1100110) + chr(0b0 + 0o55) + chr(443 - 387)))
ZdqkC4eb_1iG = SYo6trls4lBs(skMibVZw0AzJ)
cGf8dIDOK50_ = nDF4gVNx0u9Q.UmwwEp7MzR6q(ftfygxgFas5X(gdYBwPOuZcN2))
for (ZlbFMSG8gCoF, FttBGY5yyc4Q) in _kV_Bomx8PZ4(ftfygxgFas5X(gdYBwPOuZcN2)):
cGf8dIDOK50_[ZlbFMSG8gCoF] = nDF4gVNx0u9Q.JE1frtxECu3x(ZdqkC4eb_1iG[ZlbFMSG8gCoF, gdYBwPOuZcN2 != FttBGY5yyc4Q])
return cGf8dIDOK50_ |
wiheto/teneto | teneto/networkmeasures/intercontacttimes.py | intercontacttimes | def intercontacttimes(tnet):
"""
Calculates the intercontacttimes of each edge in a network.
Parameters
-----------
tnet : array, dict
Temporal network (craphlet or contact). Nettype: 'bu', 'bd'
Returns
---------
contacts : dict
Intercontact times as numpy array in dictionary. contacts['intercontacttimes']
Notes
------
The inter-contact times is calculated by the time between consequecutive "active" edges (where active means
that the value is 1 in a binary network).
Examples
--------
This example goes through how inter-contact times are calculated.
>>> import teneto
>>> import numpy as np
Make a network with 2 nodes and 4 time-points with 4 edges spaced out.
>>> G = np.zeros([2,2,10])
>>> edge_on = [1,3,5,9]
>>> G[0,1,edge_on] = 1
The network visualised below make it clear what the inter-contact times are between the two nodes:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
G = np.zeros([2,2,10])
edge_on = [1,3,5,9]
G[0,1,edge_on] = 1
fig, ax = plt.subplots(1, figsize=(4,2))
teneto.plot.slice_plot(G, ax=ax, cmap='Pastel2')
ax.set_ylim(-0.25, 1.25)
plt.tight_layout()
fig.show()
Calculating the inter-contact times of these edges becomes: 2,2,4 between nodes 0 and 1.
>>> ict = teneto.networkmeasures.intercontacttimes(G)
The function returns a dictionary with the icts in the key: intercontacttimes. This is of the size NxN.
So the icts between nodes 0 and 1 are found by:
>>> ict['intercontacttimes'][0,1]
array([2, 2, 4])
"""
# Process input
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
if tnet.nettype[0] == 'w':
print('WARNING: assuming connections to be binary when computing intercontacttimes')
# Each time series is padded with a 0 at the start and end. Then t[0:-1]-[t:].
# Then discard the noninformative ones (done automatically)
# Finally return back as np array
contacts = np.array([[None] * tnet.netshape[0]] * tnet.netshape[0])
if tnet.nettype[1] == 'u':
for i in range(0, tnet.netshape[0]):
for j in range(i + 1, tnet.netshape[0]):
edge_on = tnet.get_network_when(i=i, j=j)['t'].values
if len(edge_on) > 0:
edge_on_diff = edge_on[1:] - edge_on[:-1]
contacts[i, j] = np.array(edge_on_diff)
contacts[j, i] = np.array(edge_on_diff)
else:
contacts[i, j] = []
contacts[j, i] = []
elif tnet.nettype[1] == 'd':
for i in range(0, tnet.netshape[0]):
for j in range(0, tnet.netshape[0]):
edge_on = tnet.get_network_when(i=i, j=j)['t'].values
if len(edge_on) > 0:
edge_on_diff = edge_on[1:] - edge_on[:-1]
contacts[i, j] = np.array(edge_on_diff)
else:
contacts[i, j] = []
out = {}
out['intercontacttimes'] = contacts
out['nettype'] = tnet.nettype
return out | python | def intercontacttimes(tnet):
"""
Calculates the intercontacttimes of each edge in a network.
Parameters
-----------
tnet : array, dict
Temporal network (craphlet or contact). Nettype: 'bu', 'bd'
Returns
---------
contacts : dict
Intercontact times as numpy array in dictionary. contacts['intercontacttimes']
Notes
------
The inter-contact times is calculated by the time between consequecutive "active" edges (where active means
that the value is 1 in a binary network).
Examples
--------
This example goes through how inter-contact times are calculated.
>>> import teneto
>>> import numpy as np
Make a network with 2 nodes and 4 time-points with 4 edges spaced out.
>>> G = np.zeros([2,2,10])
>>> edge_on = [1,3,5,9]
>>> G[0,1,edge_on] = 1
The network visualised below make it clear what the inter-contact times are between the two nodes:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
G = np.zeros([2,2,10])
edge_on = [1,3,5,9]
G[0,1,edge_on] = 1
fig, ax = plt.subplots(1, figsize=(4,2))
teneto.plot.slice_plot(G, ax=ax, cmap='Pastel2')
ax.set_ylim(-0.25, 1.25)
plt.tight_layout()
fig.show()
Calculating the inter-contact times of these edges becomes: 2,2,4 between nodes 0 and 1.
>>> ict = teneto.networkmeasures.intercontacttimes(G)
The function returns a dictionary with the icts in the key: intercontacttimes. This is of the size NxN.
So the icts between nodes 0 and 1 are found by:
>>> ict['intercontacttimes'][0,1]
array([2, 2, 4])
"""
# Process input
tnet = process_input(tnet, ['C', 'G', 'TN'], 'TN')
if tnet.nettype[0] == 'w':
print('WARNING: assuming connections to be binary when computing intercontacttimes')
# Each time series is padded with a 0 at the start and end. Then t[0:-1]-[t:].
# Then discard the noninformative ones (done automatically)
# Finally return back as np array
contacts = np.array([[None] * tnet.netshape[0]] * tnet.netshape[0])
if tnet.nettype[1] == 'u':
for i in range(0, tnet.netshape[0]):
for j in range(i + 1, tnet.netshape[0]):
edge_on = tnet.get_network_when(i=i, j=j)['t'].values
if len(edge_on) > 0:
edge_on_diff = edge_on[1:] - edge_on[:-1]
contacts[i, j] = np.array(edge_on_diff)
contacts[j, i] = np.array(edge_on_diff)
else:
contacts[i, j] = []
contacts[j, i] = []
elif tnet.nettype[1] == 'd':
for i in range(0, tnet.netshape[0]):
for j in range(0, tnet.netshape[0]):
edge_on = tnet.get_network_when(i=i, j=j)['t'].values
if len(edge_on) > 0:
edge_on_diff = edge_on[1:] - edge_on[:-1]
contacts[i, j] = np.array(edge_on_diff)
else:
contacts[i, j] = []
out = {}
out['intercontacttimes'] = contacts
out['nettype'] = tnet.nettype
return out | [
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... | Calculates the intercontacttimes of each edge in a network.
Parameters
-----------
tnet : array, dict
Temporal network (craphlet or contact). Nettype: 'bu', 'bd'
Returns
---------
contacts : dict
Intercontact times as numpy array in dictionary. contacts['intercontacttimes']
Notes
------
The inter-contact times is calculated by the time between consequecutive "active" edges (where active means
that the value is 1 in a binary network).
Examples
--------
This example goes through how inter-contact times are calculated.
>>> import teneto
>>> import numpy as np
Make a network with 2 nodes and 4 time-points with 4 edges spaced out.
>>> G = np.zeros([2,2,10])
>>> edge_on = [1,3,5,9]
>>> G[0,1,edge_on] = 1
The network visualised below make it clear what the inter-contact times are between the two nodes:
.. plot::
import teneto
import numpy as np
import matplotlib.pyplot as plt
G = np.zeros([2,2,10])
edge_on = [1,3,5,9]
G[0,1,edge_on] = 1
fig, ax = plt.subplots(1, figsize=(4,2))
teneto.plot.slice_plot(G, ax=ax, cmap='Pastel2')
ax.set_ylim(-0.25, 1.25)
plt.tight_layout()
fig.show()
Calculating the inter-contact times of these edges becomes: 2,2,4 between nodes 0 and 1.
>>> ict = teneto.networkmeasures.intercontacttimes(G)
The function returns a dictionary with the icts in the key: intercontacttimes. This is of the size NxN.
So the icts between nodes 0 and 1 are found by:
>>> ict['intercontacttimes'][0,1]
array([2, 2, 4]) | [
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"network",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/intercontacttimes.py#L9-L108 | train | This function calculates the inter - contact times of each edge in a network. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(9537 - 9426) + chr(55 - 6) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(496 - 448) + '\x6f' + '\063' + chr(0b110111) + chr(0b1010 + 0o50), 0b1000), nzTpIcepk0o8(chr(48) + chr(1815 - 1704) + '\066' + '\066', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b101 + 0o56) + chr(0b110 + 0o57) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(522 - 474) + chr(0b1110 + 0o141) + chr(0b110001) + chr(253 - 202) + '\062', 35011 - 35003), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(2433 - 2383) + chr(0b10001 + 0o44) + chr(0b110000 + 0o3), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + chr(638 - 586) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(1889 - 1838) + '\x36', 21653 - 21645), nzTpIcepk0o8('\x30' + '\157' + chr(0b11111 + 0o27) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + '\x31' + '\066', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b11000 + 0o127) + chr(0b110110) + '\x32', ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + '\x30' + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(4703 - 4592) + chr(0b1101 + 0o44) + '\x35' + chr(0b1001 + 0o54), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1000110 + 0o51) + '\x34' + chr(0b110010 + 0o0), 15824 - 15816), nzTpIcepk0o8(chr(741 - 693) + chr(0b1101111) + chr(50) + chr(49), 37679 - 37671), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x33' + chr(51) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(2345 - 2294) + '\061' + '\065', 0o10), nzTpIcepk0o8(chr(48) + chr(0b111111 + 0o60) + '\062' + chr(2401 - 2352), 8), nzTpIcepk0o8('\x30' + chr(0b10 + 0o155) + chr(1394 - 1344) + chr(49) + chr(1569 - 1515), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(774 - 724) + chr(54), 0b1000), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(111) + chr(0b110001) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + '\x31' + '\x33', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + '\061' + chr(0b1110 + 0o43), 0o10), nzTpIcepk0o8('\x30' + chr(0b1000001 + 0o56) + chr(0b110010) + chr(1019 - 970) + chr(2059 - 2006), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(1895 - 1843) + chr(50), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b1111 + 0o44) + chr(692 - 642) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b111 + 0o54) + chr(49) + '\x30', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(368 - 257) + chr(1532 - 1481) + chr(48) + chr(0b10 + 0o63), 0o10), nzTpIcepk0o8('\060' + chr(8123 - 8012) + '\x33' + '\x33' + chr(2585 - 2533), 0b1000), nzTpIcepk0o8(chr(1406 - 1358) + '\x6f' + chr(2340 - 2285) + chr(48), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1001000 + 0o47) + chr(0b110011) + chr(51) + chr(999 - 951), 60205 - 60197), nzTpIcepk0o8('\060' + chr(111) + chr(2377 - 2328) + chr(852 - 802) + chr(145 - 96), 55193 - 55185), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + chr(50) + '\066' + chr(2478 - 2423), 4540 - 4532), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(2085 - 2034) + chr(0b110100) + '\066', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b100 + 0o57) + chr(49) + '\066', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(52), 0o10), nzTpIcepk0o8('\060' + chr(9188 - 9077) + '\x31' + chr(0b110100) + chr(0b1001 + 0o53), 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b101010 + 0o105) + '\x31' + chr(2498 - 2445), 8), nzTpIcepk0o8(chr(48) + '\x6f' + chr(51) + '\x32' + '\067', 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(111) + chr(0b110001) + chr(0b10010 + 0o43) + '\063', ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b1100 + 0o51) + chr(48), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'#'), chr(0b1100100) + '\x65' + '\143' + chr(0b1100111 + 0o10) + '\x64' + chr(101))('\x75' + '\164' + chr(102) + '\x2d' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ThYnc0_3rIPv(sHR__4_c0Uoo):
sHR__4_c0Uoo = RMWMODhhKksQ(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b'N'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(6676 - 6575))(chr(0b1110101) + chr(0b1110100) + chr(9054 - 8952) + chr(584 - 539) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'J'), chr(100) + chr(0b1100101) + chr(99) + chr(9084 - 8973) + chr(0b1100100) + '\x65')(chr(0b1 + 0o164) + '\164' + chr(0b1100110) + '\x2d' + chr(0b1 + 0o67)), roI3spqORKae(ES5oEprVxulp(b'Y\xb4'), chr(4249 - 4149) + chr(1028 - 927) + chr(0b1001 + 0o132) + chr(0b0 + 0o157) + '\144' + chr(0b1100101))(chr(0b110000 + 0o105) + chr(0b1001011 + 0o51) + chr(3759 - 3657) + chr(45) + chr(236 - 180))], roI3spqORKae(ES5oEprVxulp(b'Y\xb4'), '\144' + chr(0b1011101 + 0o10) + chr(0b1000010 + 0o41) + chr(0b1000000 + 0o57) + chr(100) + chr(0b101001 + 0o74))(chr(0b1011111 + 0o26) + chr(0b1110100) + '\x66' + chr(0b101 + 0o50) + '\070'))
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'c\x9fB\x9b#\xdb\xc1'), chr(100) + '\145' + chr(1475 - 1376) + '\x6f' + chr(7675 - 7575) + chr(101))('\x75' + '\x74' + '\146' + chr(0b10 + 0o53) + chr(0b111000)))[nzTpIcepk0o8(chr(1431 - 1383) + chr(0b1000100 + 0o53) + '\060', 0o10)] == roI3spqORKae(ES5oEprVxulp(b'z'), '\x64' + '\x65' + chr(2117 - 2018) + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(10486 - 10370) + chr(0b1100110) + chr(1544 - 1499) + chr(0b100 + 0o64)):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'Z\xbbd\xa1\x13\xe5\xe3\xe4\x10/A7\x18Ox\xb7\xaa1\xedyd\xa5\xac\xeeV\xbc\xa7\xab\xaf\x18\xac>\x97\x84\xab,\x06d\xb9\n\x7f\x83\x16\x982\xce\xca\xfeS!_4\x18Vx\xb7\xaa1\xe7x~\xae\xbb\xeeM\xbb\xbc\xa4\xbfL\xac8\xda\x83\xbd'), chr(0b100001 + 0o103) + chr(9250 - 9149) + chr(590 - 491) + '\x6f' + chr(3481 - 3381) + chr(101))(chr(0b1100010 + 0o23) + chr(116) + chr(102) + '\x2d' + chr(56)))
AAopxL2OQh5W = nDF4gVNx0u9Q.Tn6rGr7XTM7t([[None] * sHR__4_c0Uoo.k_hzkZorywiQ[nzTpIcepk0o8(chr(48) + '\157' + '\x30', 8)]] * sHR__4_c0Uoo.k_hzkZorywiQ[nzTpIcepk0o8(chr(48) + '\x6f' + chr(1617 - 1569), 8)])
if roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'c\x9fB\x9b#\xdb\xc1'), chr(6585 - 6485) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1010111 + 0o15) + '\x65')(chr(7644 - 7527) + chr(0b10100 + 0o140) + '\146' + '\x2d' + chr(0b100101 + 0o23)))[nzTpIcepk0o8('\060' + chr(0b1101111) + '\061', ord("\x08"))] == roI3spqORKae(ES5oEprVxulp(b'x'), chr(100) + chr(0b1000001 + 0o44) + chr(99) + chr(235 - 124) + '\x64' + chr(101))('\165' + chr(116) + '\x66' + '\x2d' + chr(0b101000 + 0o20)):
for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1001010 + 0o45) + chr(48), 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'f\xa5^\x951\xf1\xcb\xacI9[\x15'), chr(5903 - 5803) + chr(7074 - 6973) + '\x63' + '\157' + chr(7166 - 7066) + chr(0b10110 + 0o117))('\x75' + chr(0b10011 + 0o141) + chr(4475 - 4373) + chr(0b101101) + chr(56)))[nzTpIcepk0o8(chr(0b11000 + 0o30) + '\157' + '\x30', 8)]):
for sChW4gUsXrIC in bbT2xIe5pzk7(ZlbFMSG8gCoF + nzTpIcepk0o8('\x30' + '\157' + chr(49), 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'f\xa5^\x951\xf1\xcb\xacI9[\x15'), '\144' + chr(0b1100101) + chr(0b11010 + 0o111) + chr(111) + chr(100) + chr(0b11100 + 0o111))(chr(1208 - 1091) + '\x74' + chr(743 - 641) + chr(45) + '\x38'))[nzTpIcepk0o8('\x30' + chr(1600 - 1489) + '\060', 8)]):
g_7a8hU0TW9N = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, j=sChW4gUsXrIC)[roI3spqORKae(ES5oEprVxulp(b'y'), chr(7715 - 7615) + chr(101) + '\143' + chr(0b1000110 + 0o51) + '\144' + chr(101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(679 - 623))].CsodZJH6x9Tx
if ftfygxgFas5X(g_7a8hU0TW9N) > nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(48), 8):
mUjtlnPBcZhk = g_7a8hU0TW9N[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110001), 8):] - g_7a8hU0TW9N[:-nzTpIcepk0o8('\x30' + chr(0b111 + 0o150) + '\x31', 8)]
AAopxL2OQh5W[ZlbFMSG8gCoF, sChW4gUsXrIC] = nDF4gVNx0u9Q.Tn6rGr7XTM7t(mUjtlnPBcZhk)
AAopxL2OQh5W[sChW4gUsXrIC, ZlbFMSG8gCoF] = nDF4gVNx0u9Q.Tn6rGr7XTM7t(mUjtlnPBcZhk)
else:
AAopxL2OQh5W[ZlbFMSG8gCoF, sChW4gUsXrIC] = []
AAopxL2OQh5W[sChW4gUsXrIC, ZlbFMSG8gCoF] = []
elif roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'c\x9fB\x9b#\xdb\xc1'), chr(0b1100100) + chr(5270 - 5169) + chr(0b1100011) + chr(1596 - 1485) + '\x64' + chr(0b110101 + 0o60))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b1011 + 0o55)))[nzTpIcepk0o8('\x30' + '\x6f' + chr(49), 8)] == roI3spqORKae(ES5oEprVxulp(b'i'), chr(7388 - 7288) + chr(6033 - 5932) + chr(9686 - 9587) + chr(0b1101111) + chr(100) + chr(5504 - 5403))(chr(117) + '\x74' + chr(102) + '\055' + chr(2973 - 2917)):
for ZlbFMSG8gCoF in bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + '\157' + chr(0b110000), 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'f\xa5^\x951\xf1\xcb\xacI9[\x15'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1000101 + 0o52) + chr(0b110001 + 0o63) + chr(0b1100101))(chr(0b11001 + 0o134) + chr(0b1110100) + chr(0b11010 + 0o114) + chr(0b101101) + chr(0b100110 + 0o22)))[nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1000000 + 0o57) + chr(1207 - 1159), 8)]):
for sChW4gUsXrIC in bbT2xIe5pzk7(nzTpIcepk0o8(chr(48) + '\157' + '\x30', 8), roI3spqORKae(sHR__4_c0Uoo, roI3spqORKae(ES5oEprVxulp(b'f\xa5^\x951\xf1\xcb\xacI9[\x15'), chr(0b1100100) + '\x65' + '\143' + chr(12173 - 12062) + '\x64' + '\145')('\x75' + chr(9276 - 9160) + '\146' + chr(0b10000 + 0o35) + chr(0b111000)))[nzTpIcepk0o8(chr(48) + '\157' + chr(0b110000), 8)]):
g_7a8hU0TW9N = sHR__4_c0Uoo.get_network_when(i=ZlbFMSG8gCoF, j=sChW4gUsXrIC)[roI3spqORKae(ES5oEprVxulp(b'y'), chr(0b1010010 + 0o22) + chr(0b1100101) + chr(5185 - 5086) + chr(0b1101001 + 0o6) + '\x64' + chr(9727 - 9626))(chr(3953 - 3836) + '\x74' + chr(0b1000010 + 0o44) + '\x2d' + chr(0b111000))].CsodZJH6x9Tx
if ftfygxgFas5X(g_7a8hU0TW9N) > nzTpIcepk0o8(chr(0b110000) + chr(10355 - 10244) + chr(0b1000 + 0o50), 8):
mUjtlnPBcZhk = g_7a8hU0TW9N[nzTpIcepk0o8(chr(507 - 459) + chr(0b1101111) + chr(0b110001), 8):] - g_7a8hU0TW9N[:-nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(0b1101111) + chr(49), 8)]
AAopxL2OQh5W[ZlbFMSG8gCoF, sChW4gUsXrIC] = nDF4gVNx0u9Q.Tn6rGr7XTM7t(mUjtlnPBcZhk)
else:
AAopxL2OQh5W[ZlbFMSG8gCoF, sChW4gUsXrIC] = []
VwOu8WkJ9cpc = {}
VwOu8WkJ9cpc[roI3spqORKae(ES5oEprVxulp(b'd\x94B\x8a(\xc8\xcb\xb0D/Q0\x19K|\xbc\xbe'), '\144' + '\x65' + chr(0b100000 + 0o103) + chr(622 - 511) + chr(7168 - 7068) + '\x65')(chr(0b1000100 + 0o61) + chr(0b100001 + 0o123) + '\x66' + chr(45) + '\x38')] = AAopxL2OQh5W
VwOu8WkJ9cpc[roI3spqORKae(ES5oEprVxulp(b'c\x9fB\x9b#\xdb\xc1'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1101 + 0o130))(chr(5510 - 5393) + '\x74' + '\x66' + '\055' + '\x38')] = sHR__4_c0Uoo.nettype
return VwOu8WkJ9cpc |
wiheto/teneto | teneto/timeseries/report.py | gen_report | def gen_report(report, sdir='./', report_name='report.html'):
"""
Generates report of derivation and postprocess steps in teneto.derive
"""
# Create report directory
if not os.path.exists(sdir):
os.makedirs(sdir)
# Add a slash to file directory if not included to avoid DirNameFleName
# instead of DirName/FileName being creaated
if sdir[-1] != '/':
sdir += '/'
report_html = '<html><body>'
if 'method' in report.keys():
report_html += "<h1>Method: " + report['method'] + "</h1><p>"
for i in report[report['method']]:
if i == 'taper_window':
fig, ax = plt.subplots(1)
ax.plot(report[report['method']]['taper_window'],
report[report['method']]['taper'])
ax.set_xlabel('Window (time). 0 in middle of window.')
ax.set_title(
'Taper from ' + report[report['method']]['distribution'] + ' distribution (PDF).')
fig.savefig(sdir + 'taper.png')
report_html += "<img src='./taper.png' width=500>" + "<p>"
else:
report_html += "- <b>" + i + "</b>: " + \
str(report[report['method']][i]) + "<br>"
if 'postprocess' in report.keys():
report_html += "<p><h2>Postprocessing:</h2><p>"
report_html += "<b>Pipeline: </b>"
for i in report['postprocess']:
report_html += " " + i + ","
for i in report['postprocess']:
report_html += "<p><h3>" + i + "</h3><p>"
for j in report[i]:
if j == 'lambda':
report_html += "- <b>" + j + "</b>: " + "<br>"
lambda_val = np.array(report['boxcox']['lambda'])
fig, ax = plt.subplots(1)
ax.hist(lambda_val[:, -1])
ax.set_xlabel('lambda')
ax.set_ylabel('frequency')
ax.set_title('Histogram of lambda parameter')
fig.savefig(sdir + 'boxcox_lambda.png')
report_html += "<img src='./boxcox_lambda.png' width=500>" + "<p>"
report_html += "Data located in " + sdir + "boxcox_lambda.csv <p>"
np.savetxt(sdir + "boxcox_lambda.csv",
lambda_val, delimiter=",")
else:
report_html += "- <b>" + j + "</b>: " + \
str(report[i][j]) + "<br>"
report_html += '</body></html>'
with open(sdir + report_name, 'w') as file:
file.write(report_html)
file.close() | python | def gen_report(report, sdir='./', report_name='report.html'):
"""
Generates report of derivation and postprocess steps in teneto.derive
"""
# Create report directory
if not os.path.exists(sdir):
os.makedirs(sdir)
# Add a slash to file directory if not included to avoid DirNameFleName
# instead of DirName/FileName being creaated
if sdir[-1] != '/':
sdir += '/'
report_html = '<html><body>'
if 'method' in report.keys():
report_html += "<h1>Method: " + report['method'] + "</h1><p>"
for i in report[report['method']]:
if i == 'taper_window':
fig, ax = plt.subplots(1)
ax.plot(report[report['method']]['taper_window'],
report[report['method']]['taper'])
ax.set_xlabel('Window (time). 0 in middle of window.')
ax.set_title(
'Taper from ' + report[report['method']]['distribution'] + ' distribution (PDF).')
fig.savefig(sdir + 'taper.png')
report_html += "<img src='./taper.png' width=500>" + "<p>"
else:
report_html += "- <b>" + i + "</b>: " + \
str(report[report['method']][i]) + "<br>"
if 'postprocess' in report.keys():
report_html += "<p><h2>Postprocessing:</h2><p>"
report_html += "<b>Pipeline: </b>"
for i in report['postprocess']:
report_html += " " + i + ","
for i in report['postprocess']:
report_html += "<p><h3>" + i + "</h3><p>"
for j in report[i]:
if j == 'lambda':
report_html += "- <b>" + j + "</b>: " + "<br>"
lambda_val = np.array(report['boxcox']['lambda'])
fig, ax = plt.subplots(1)
ax.hist(lambda_val[:, -1])
ax.set_xlabel('lambda')
ax.set_ylabel('frequency')
ax.set_title('Histogram of lambda parameter')
fig.savefig(sdir + 'boxcox_lambda.png')
report_html += "<img src='./boxcox_lambda.png' width=500>" + "<p>"
report_html += "Data located in " + sdir + "boxcox_lambda.csv <p>"
np.savetxt(sdir + "boxcox_lambda.csv",
lambda_val, delimiter=",")
else:
report_html += "- <b>" + j + "</b>: " + \
str(report[i][j]) + "<br>"
report_html += '</body></html>'
with open(sdir + report_name, 'w') as file:
file.write(report_html)
file.close() | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/timeseries/report.py#L10-L92 | train | Generates a report of derivation and postprocessing steps in teneto. derive
| GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1839 - 1791) + '\157' + chr(0b1000 + 0o53) + '\x37' + chr(1918 - 1866), 0o10), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + '\067' + chr(0b110 + 0o56), 8), nzTpIcepk0o8(chr(48) + chr(111) + chr(51) + chr(0b110100) + chr(0b100010 + 0o25), 12616 - 12608), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + chr(0b110011) + chr(0b1001 + 0o53), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\063' + '\x32' + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(53) + '\064', 0o10), nzTpIcepk0o8('\060' + chr(0b1000001 + 0o56) + chr(0b110010) + '\060' + chr(0b101 + 0o60), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(2195 - 2145) + chr(0b11010 + 0o33) + chr(52), 0b1000), nzTpIcepk0o8(chr(1208 - 1160) + chr(3156 - 3045) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(11487 - 11376) + '\x32' + chr(0b10111 + 0o33), 39269 - 39261), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b101100 + 0o103) + chr(0b110000 + 0o4) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101100 + 0o5) + '\062' + '\061', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001) + '\062' + '\063', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110011) + '\x30' + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(1019 - 971) + chr(111) + chr(0b11111 + 0o27) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b1011 + 0o52) + '\x35', 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(366 - 317) + '\x34', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1135 - 1085) + chr(2439 - 2388) + '\066', 0b1000), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1010111 + 0o30) + chr(49) + chr(1115 - 1064) + '\x37', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\062' + '\060' + chr(0b110100), 0o10), nzTpIcepk0o8('\060' + chr(0b11111 + 0o120) + chr(0b110011) + '\061', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + chr(2249 - 2201) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(1534 - 1486) + '\x6f' + chr(50) + '\062' + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(930 - 819) + '\x32' + chr(0b1 + 0o65) + '\064', 11624 - 11616), nzTpIcepk0o8(chr(1530 - 1482) + chr(9752 - 9641) + '\062' + '\x33' + chr(0b100101 + 0o14), 53739 - 53731), nzTpIcepk0o8('\x30' + chr(0b1100010 + 0o15) + chr(49) + chr(1961 - 1910) + '\066', 0o10), nzTpIcepk0o8(chr(301 - 253) + chr(0b110111 + 0o70) + chr(69 - 18) + '\x34' + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(0b1010010 + 0o35) + chr(0b110001) + chr(168 - 114), 0o10), nzTpIcepk0o8(chr(48) + chr(11979 - 11868) + '\x33' + '\067' + chr(55), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b11110 + 0o121) + chr(978 - 927) + chr(0b110010) + chr(0b110001), 0b1000), nzTpIcepk0o8('\060' + chr(0b1100011 + 0o14) + chr(0b110011) + '\x37' + chr(1698 - 1644), 0o10), nzTpIcepk0o8('\060' + chr(0b11100 + 0o123) + chr(49) + chr(1382 - 1333) + chr(0b100111 + 0o12), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b101010 + 0o10) + chr(49) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(10943 - 10832) + '\x33' + '\065' + chr(51), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b101010 + 0o105) + chr(50) + '\x34' + '\066', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(513 - 464) + '\061' + chr(0b11111 + 0o27), 0o10), nzTpIcepk0o8(chr(1529 - 1481) + chr(111) + '\061' + chr(558 - 506) + chr(52), 49767 - 49759), nzTpIcepk0o8(chr(0b11001 + 0o27) + '\x6f' + '\063' + chr(1580 - 1525) + '\064', 8), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + chr(0b11111 + 0o27) + '\060', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + chr(0b110110) + '\061', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(410 - 299) + chr(53) + chr(1008 - 960), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd2'), '\144' + chr(0b1100101) + chr(99) + chr(0b1000001 + 0o56) + chr(100) + chr(7293 - 7192))(chr(117) + chr(0b1110100) + chr(102) + '\x2d' + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Wf7IFTQq3mmv(v850snntN8PO, bZpMR4WgIDJi=roI3spqORKae(ES5oEprVxulp(b'\xd2\xd3'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1001100 + 0o30) + '\145')('\x75' + chr(0b1000 + 0o154) + chr(102) + chr(70 - 25) + chr(56)), _Q0oy10JtLFd=roI3spqORKae(ES5oEprVxulp(b'\x8e\x99\x97\xb3\xa6\x98\xab\xc4q\x7fL'), chr(0b1100100) + chr(101) + chr(99) + '\157' + chr(7436 - 7336) + chr(6925 - 6824))('\x75' + chr(0b111 + 0o155) + chr(8523 - 8421) + '\055' + chr(0b1011 + 0o55))):
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\x86\xaf\xae\xa5\xba\xbc\xf0\xe9s~qe'), chr(7981 - 7881) + chr(0b11101 + 0o110) + chr(0b1100011) + '\x6f' + chr(0b1001101 + 0o27) + chr(6456 - 6355))('\x75' + chr(116) + chr(0b110001 + 0o65) + chr(0b101101) + chr(56)))(bZpMR4WgIDJi):
roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'\x91\x9d\x8c\xb9\xb0\x85\xf7\xdf'), '\144' + chr(0b1100101) + chr(6802 - 6703) + chr(8029 - 7918) + '\x64' + '\x65')('\165' + chr(116) + chr(0b10011 + 0o123) + chr(45) + chr(1306 - 1250)))(bZpMR4WgIDJi)
if bZpMR4WgIDJi[-nzTpIcepk0o8(chr(1333 - 1285) + '\157' + chr(0b100011 + 0o16), ord("\x08"))] != roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + '\x65' + '\143' + '\x6f' + chr(100) + '\145')('\165' + chr(5215 - 5099) + '\146' + chr(0b101101) + chr(0b11001 + 0o37)):
bZpMR4WgIDJi += roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + '\x65' + '\143' + '\157' + chr(100) + chr(101))(chr(5039 - 4922) + '\164' + '\146' + chr(0b11001 + 0o24) + chr(0b111000))
P86jWb9AzDn1 = roI3spqORKae(ES5oEprVxulp(b'\xc0\x94\x93\xb1\xb8\xd2\xb9\xcejvYo'), chr(8618 - 8518) + chr(101) + chr(0b1000000 + 0o43) + '\157' + chr(2546 - 2446) + chr(0b110000 + 0o65))('\165' + chr(116) + '\x66' + chr(45) + chr(56))
if roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)) in roI3spqORKae(v850snntN8PO, roI3spqORKae(ES5oEprVxulp(b'\x97\x99\x9e\xaf'), chr(0b1000110 + 0o36) + chr(0b1100101) + chr(0b1100011) + chr(6432 - 6321) + chr(5583 - 5483) + '\145')(chr(8730 - 8613) + chr(116) + chr(102) + '\x2d' + '\070'))():
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\x94\xd6\xe2\x99\x89\xf1\xc4jv\x1aq'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))('\165' + chr(0b1000001 + 0o63) + '\x66' + chr(728 - 683) + '\x38') + v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), '\144' + chr(0b1011 + 0o132) + chr(8104 - 8005) + chr(111) + '\144' + '\145')(chr(3386 - 3269) + chr(0b101 + 0o157) + '\146' + chr(0b101101) + chr(0b110111 + 0o1))] + roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x8f\xed\xea\xd0\xf5\x92'), '\x64' + chr(0b101111 + 0o66) + chr(99) + '\157' + '\x64' + '\x65')('\165' + chr(9768 - 9652) + chr(102) + chr(369 - 324) + chr(2654 - 2598))
for ZlbFMSG8gCoF in v850snntN8PO[v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), chr(0b101111 + 0o65) + chr(0b1100101) + '\143' + chr(0b1011110 + 0o21) + chr(0b1100100) + chr(0b1100101))(chr(0b11111 + 0o126) + chr(0b110111 + 0o75) + '\146' + chr(558 - 513) + '\x38')]]:
if ZlbFMSG8gCoF == roI3spqORKae(ES5oEprVxulp(b'\x88\x9d\x97\xb9\xa6\xb3\xf2\xc5kvO&'), chr(4657 - 4557) + chr(0b1100101) + chr(6300 - 6201) + chr(8682 - 8571) + '\144' + '\145')(chr(0b1110101) + chr(12944 - 12828) + chr(0b101101 + 0o71) + chr(871 - 826) + '\x38'):
(ux0XlXMUdKbX, ZtB7KOLCW2Hk) = Z7HGgmIyegqz.subplots(nzTpIcepk0o8('\x30' + '\157' + chr(0b1100 + 0o45), 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8c\x90\x88\xa8'), '\144' + '\x65' + chr(8275 - 8176) + '\x6f' + chr(8341 - 8241) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))(v850snntN8PO[v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), '\x64' + chr(101) + chr(0b1100011) + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(4594 - 4478) + '\146' + chr(45) + chr(2314 - 2258))]][roI3spqORKae(ES5oEprVxulp(b'\x88\x9d\x97\xb9\xa6\xb3\xf2\xc5kvO&'), chr(100) + '\145' + chr(8634 - 8535) + chr(0b1101111) + chr(0b1100100) + chr(790 - 689))('\165' + '\164' + chr(0b1100110) + '\055' + '\070')], v850snntN8PO[v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), '\x64' + chr(0b1100101) + chr(0b1001110 + 0o25) + chr(0b1101111) + chr(0b1011001 + 0o13) + chr(0b1010000 + 0o25))(chr(3466 - 3349) + chr(2625 - 2509) + chr(102) + chr(45) + chr(0b111000))]][roI3spqORKae(ES5oEprVxulp(b'\x88\x9d\x97\xb9\xa6'), chr(0b1000100 + 0o40) + chr(0b1100101) + chr(0b11101 + 0o106) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(963 - 847) + '\146' + chr(1498 - 1453) + chr(0b111 + 0o61))])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8f\x99\x93\x83\xac\x80\xe4\xce`~'), chr(0b1100100) + '\145' + chr(5190 - 5091) + chr(111) + '\x64' + '\145')(chr(0b1110101) + chr(116) + '\146' + '\x2d' + '\x38'))(roI3spqORKae(ES5oEprVxulp(b'\xab\x95\x89\xb8\xbb\x9b\xa5\x84q{M4z\xeb\x10],\xf71\xa4t\xee\xf0\xd0\xf5;\xc1a\x99\xf1\x89 \xe4\x8f\xc99J'), '\x64' + chr(0b101110 + 0o67) + chr(99) + chr(10206 - 10095) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + '\070'))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8f\x99\x93\x83\xa0\x85\xf1\xc0`'), '\144' + chr(0b1100101) + chr(99) + chr(0b1001111 + 0o40) + chr(0b1100100) + '\145')(chr(0b101001 + 0o114) + '\164' + chr(3162 - 3060) + chr(0b101101) + chr(1981 - 1925)))(roI3spqORKae(ES5oEprVxulp(b'\xa8\x9d\x97\xb9\xa6\xcc\xe3\xdej\x7f\x00'), chr(100) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(2981 - 2865) + chr(0b100010 + 0o104) + '\055' + chr(0b1 + 0o67)) + v850snntN8PO[v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b110010 + 0o75) + '\x64' + chr(2252 - 2151))(chr(0b1010001 + 0o44) + chr(0b1110100) + chr(237 - 135) + chr(0b101101) + '\070')]][roI3spqORKae(ES5oEprVxulp(b'\x98\x95\x94\xa8\xa6\x85\xe7\xd9q{O?'), chr(0b10110 + 0o116) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(8021 - 7921) + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + chr(56))] + roI3spqORKae(ES5oEprVxulp(b'\xdc\x98\x8e\xaf\xa0\x9e\xec\xcepfI>=\xe5\x18=H\xd8v\xaa'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110010 + 0o3) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b101 + 0o63)))
roI3spqORKae(ux0XlXMUdKbX, roI3spqORKae(ES5oEprVxulp(b'\x8f\x9d\x91\xb9\xb2\x85\xe2'), chr(0b1101 + 0o127) + chr(0b101100 + 0o71) + chr(99) + chr(0b1100001 + 0o16) + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + chr(1761 - 1716) + chr(0b10011 + 0o45)))(bZpMR4WgIDJi + roI3spqORKae(ES5oEprVxulp(b'\x88\x9d\x97\xb9\xa6\xc2\xf5\xc2b'), '\x64' + '\145' + chr(5122 - 5023) + chr(0b1101111) + chr(289 - 189) + chr(0b1000110 + 0o37))('\165' + '\x74' + chr(2744 - 2642) + chr(0b101101) + chr(0b111000)))
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b"\xc0\x95\x8a\xbb\xf4\x9f\xf7\xcf85\x0e~'\xa4@\x08~\xb0/\xea~\xa0\xb4\xc3\xf0:\x95f\xc2\xe4\xcey\xb4"), '\144' + chr(7891 - 7790) + chr(1398 - 1299) + chr(1147 - 1036) + '\144' + chr(101))('\165' + chr(0b1010111 + 0o35) + chr(102) + chr(1036 - 991) + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'\xc0\x8c\xd9'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b100000 + 0o105))('\165' + '\164' + chr(9549 - 9447) + chr(45) + chr(56))
else:
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xd1\xdc\xdb\xbe\xea'), '\x64' + chr(0b111001 + 0o54) + '\x63' + chr(0b10100 + 0o133) + '\144' + '\x65')('\x75' + '\x74' + chr(4463 - 4361) + chr(0b101101) + '\070') + ZlbFMSG8gCoF + roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x85\xe2\xee\xcc'), chr(100) + '\145' + '\x63' + chr(0b101000 + 0o107) + chr(0b1000010 + 0o42) + chr(0b101010 + 0o73))(chr(0b101100 + 0o111) + '\x74' + chr(4771 - 4669) + '\055' + '\x38') + N9zlRy29S1SS(v850snntN8PO[v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x91\x99\x93\xb4\xbb\x88'), chr(100) + chr(7947 - 7846) + chr(99) + '\x6f' + chr(2751 - 2651) + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(2167 - 2111))]][ZlbFMSG8gCoF]) + roI3spqORKae(ES5oEprVxulp(b'\xc0\x9e\x95\xe2'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(0b110010 + 0o63))(chr(0b1101 + 0o150) + '\164' + '\x66' + chr(0b11110 + 0o17) + chr(0b101101 + 0o13))
if roI3spqORKae(ES5oEprVxulp(b'\x8c\x93\x94\xa8\xa4\x9e\xea\xcf`aS'), chr(100) + chr(0b1100101) + chr(0b111010 + 0o51) + chr(111) + '\144' + '\145')('\x75' + chr(2915 - 2799) + chr(102) + '\x2d' + chr(56)) in roI3spqORKae(v850snntN8PO, roI3spqORKae(ES5oEprVxulp(b'\x97\x99\x9e\xaf'), chr(100) + chr(101) + '\143' + chr(4540 - 4429) + chr(0b1100100) + chr(101))('\165' + '\x74' + '\x66' + '\x2d' + chr(56)))():
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\x8c\xd9\xe0\xbc\xde\xbb\xfcjaT!!\xaaS\x08\x7f\xed6\xea~\xbd\xa8\x9b\xf1l\xdf2\x8f\xef'), chr(0b1100100) + '\x65' + '\x63' + chr(0b1101111) + chr(8397 - 8297) + chr(7544 - 7443))(chr(0b1100010 + 0o23) + chr(0b1110100) + chr(0b1100110) + chr(0b101010 + 0o3) + chr(0b111000))
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\x9e\xd9\x8c\xbd\x9c\xe0\xc0l|Eks\xf9\x1f\x0f2'), chr(5043 - 4943) + chr(0b11000 + 0o115) + chr(0b1100011) + chr(0b1011100 + 0o23) + chr(0b1100100) + '\x65')(chr(0b101101 + 0o110) + chr(0b1110100) + '\146' + chr(0b10110 + 0o27) + '\x38')
for ZlbFMSG8gCoF in v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x8c\x93\x94\xa8\xa4\x9e\xea\xcf`aS'), '\144' + chr(0b1100001 + 0o4) + chr(0b100110 + 0o75) + '\x6f' + '\x64' + chr(101))('\x75' + '\x74' + chr(0b1100011 + 0o3) + chr(1915 - 1870) + chr(56))]:
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xdc'), chr(0b1000000 + 0o44) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1011001 + 0o13) + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(0b100110 + 0o7) + chr(0b100000 + 0o30)) + ZlbFMSG8gCoF + roI3spqORKae(ES5oEprVxulp(b'\xd0'), chr(0b1100100) + '\145' + chr(0b101101 + 0o66) + '\x6f' + chr(0b1110 + 0o126) + chr(0b1100101))(chr(117) + chr(0b100111 + 0o115) + chr(0b1010101 + 0o21) + chr(0b1000 + 0o45) + chr(56))
for ZlbFMSG8gCoF in v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x8c\x93\x94\xa8\xa4\x9e\xea\xcf`aS'), '\x64' + '\x65' + chr(8252 - 8153) + '\x6f' + '\x64' + chr(0b111001 + 0o54))('\165' + chr(1538 - 1422) + chr(0b101000 + 0o76) + chr(0b101101) + '\070')]:
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\x8c\xd9\xe0\xbc\xdf\xbb'), chr(0b101110 + 0o66) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(543 - 442))(chr(0b111 + 0o156) + '\x74' + chr(102) + '\x2d' + '\070') + ZlbFMSG8gCoF + roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x8f\xef\xea\xd0\xf5\x92'), '\144' + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(9322 - 9220) + '\x2d' + chr(0b111000))
for sChW4gUsXrIC in v850snntN8PO[ZlbFMSG8gCoF]:
if sChW4gUsXrIC == roI3spqORKae(ES5oEprVxulp(b'\x90\x9d\x8a\xbe\xb0\x8d'), '\x64' + chr(0b1100101) + '\x63' + chr(11727 - 11616) + chr(100) + '\x65')(chr(3354 - 3237) + chr(13105 - 12989) + '\x66' + chr(0b101101) + '\x38'):
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xd1\xdc\xdb\xbe\xea'), '\144' + chr(0b100011 + 0o102) + chr(99) + chr(4764 - 4653) + '\x64' + chr(0b110000 + 0o65))('\x75' + '\164' + chr(0b111011 + 0o53) + chr(1065 - 1020) + chr(56)) + sChW4gUsXrIC + roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x85\xe2\xee\xcc'), chr(2023 - 1923) + '\145' + '\x63' + chr(0b1010001 + 0o36) + chr(0b1100100) + chr(0b1100101))(chr(2258 - 2141) + '\164' + chr(0b1100110) + chr(0b11001 + 0o24) + '\070') + roI3spqORKae(ES5oEprVxulp(b'\xc0\x9e\x95\xe2'), chr(0b1011110 + 0o6) + chr(0b1100101) + chr(0b111000 + 0o53) + '\157' + chr(100) + chr(101))(chr(12476 - 12359) + chr(116) + '\146' + chr(0b1010 + 0o43) + chr(0b111000))
cWEVyV3Ak_kP = nDF4gVNx0u9Q.Tn6rGr7XTM7t(v850snntN8PO[roI3spqORKae(ES5oEprVxulp(b'\x9e\x93\x9f\xbf\xbb\x94'), '\x64' + chr(6539 - 6438) + chr(0b11111 + 0o104) + '\157' + '\144' + chr(101))(chr(0b100101 + 0o120) + chr(0b1110100) + chr(102) + chr(0b100011 + 0o12) + '\070')][roI3spqORKae(ES5oEprVxulp(b'\x90\x9d\x8a\xbe\xb0\x8d'), chr(100) + chr(0b1011010 + 0o13) + '\143' + '\x6f' + chr(1398 - 1298) + '\x65')(chr(0b1101011 + 0o12) + chr(116) + chr(4316 - 4214) + chr(0b101101) + chr(1391 - 1335))])
(ux0XlXMUdKbX, ZtB7KOLCW2Hk) = Z7HGgmIyegqz.subplots(nzTpIcepk0o8(chr(48) + chr(0b1101101 + 0o2) + '\061', 8))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8a\xbb\x92\xba\x9a\xdb\xf6\xe0NX\x14\x18'), chr(1660 - 1560) + chr(4904 - 4803) + chr(99) + chr(1872 - 1761) + '\144' + '\x65')(chr(0b1110101) + chr(4603 - 4487) + '\146' + chr(0b101101) + '\070'))(cWEVyV3Ak_kP[:, -nzTpIcepk0o8(chr(1751 - 1703) + chr(12206 - 12095) + chr(49), 8)])
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8f\x99\x93\x83\xac\x80\xe4\xce`~'), chr(3827 - 3727) + chr(0b1100101) + chr(8678 - 8579) + chr(0b10011 + 0o134) + chr(0b11000 + 0o114) + chr(1425 - 1324))(chr(10266 - 10149) + chr(11176 - 11060) + chr(0b111101 + 0o51) + chr(0b101101) + chr(1404 - 1348)))(roI3spqORKae(ES5oEprVxulp(b'\x90\x9d\x8a\xbe\xb0\x8d'), chr(0b1000000 + 0o44) + '\145' + chr(0b1100011) + chr(9920 - 9809) + '\x64' + chr(0b1100101))(chr(6398 - 6281) + chr(12297 - 12181) + chr(102) + chr(45) + chr(2701 - 2645)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8f\x99\x93\x83\xad\x80\xe4\xce`~'), '\x64' + chr(0b1110 + 0o127) + '\x63' + chr(111) + chr(100) + chr(101))('\165' + chr(0b11111 + 0o125) + chr(102) + '\x2d' + '\070'))(roI3spqORKae(ES5oEprVxulp(b'\x9a\x8e\x82\xad\xa1\x89\xeb\xcf|'), chr(2299 - 2199) + chr(101) + chr(5675 - 5576) + chr(0b110101 + 0o72) + '\x64' + '\x65')(chr(0b111100 + 0o71) + '\x74' + '\146' + chr(0b11100 + 0o21) + chr(0b10101 + 0o43)))
roI3spqORKae(ZtB7KOLCW2Hk, roI3spqORKae(ES5oEprVxulp(b'\x8f\x99\x93\x83\xa0\x85\xf1\xc0`'), chr(0b111001 + 0o53) + chr(101) + '\x63' + chr(0b10000 + 0o137) + chr(0b100001 + 0o103) + '\x65')(chr(0b1011 + 0o152) + chr(116) + chr(0b1100110) + chr(45) + chr(0b11 + 0o65)))(roI3spqORKae(ES5oEprVxulp(b'\xb4\x95\x94\xa8\xbb\x8b\xf7\xcdh2O7s\xa9Q\x00n\xfa>\xa4i\xe6\xe6\xd5\xf4;\x95k\x8d'), '\144' + chr(101) + '\143' + '\x6f' + chr(100) + '\x65')('\165' + '\x74' + chr(0b11100 + 0o112) + chr(0b11010 + 0o23) + chr(2815 - 2759)))
roI3spqORKae(ux0XlXMUdKbX, roI3spqORKae(ES5oEprVxulp(b'\x8f\x9d\x91\xb9\xb2\x85\xe2'), chr(9684 - 9584) + '\x65' + chr(1638 - 1539) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110000 + 0o5) + '\x74' + chr(0b1100110) + chr(828 - 783) + chr(0b101100 + 0o14)))(bZpMR4WgIDJi + roI3spqORKae(ES5oEprVxulp(b'\x9e\x93\x9f\xbf\xbb\x94\xda\xc0d\x7fB52\xeb@\x03k'), '\x64' + chr(1295 - 1194) + chr(0b111100 + 0o47) + chr(0b1001000 + 0o47) + chr(100) + chr(7052 - 6951))('\x75' + chr(6535 - 6419) + '\146' + chr(0b101101) + chr(0b111000)))
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\x95\x8a\xbb\xf4\x9f\xf7\xcf85\x0e~1\xaaH\x0ec\xe6\x00\xe8x\xea\xf6\xd0\xf8p\x91`\x98\xf6\xde>\xe3\x8f\xd2&Y\xc9\xc0A\xc2'), chr(0b1000100 + 0o40) + '\x65' + chr(4248 - 4149) + chr(111) + chr(0b101 + 0o137) + chr(0b10000 + 0o125))(chr(0b1110101) + '\164' + chr(0b1100110) + '\x2d' + chr(0b101110 + 0o12)) + roI3spqORKae(ES5oEprVxulp(b'\xc0\x8c\xd9'), chr(0b1100100) + chr(6665 - 6564) + chr(3709 - 3610) + chr(111) + '\x64' + '\145')(chr(7276 - 7159) + chr(9793 - 9677) + chr(0b101101 + 0o71) + chr(0b11110 + 0o17) + chr(56))
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xb8\x9d\x93\xbd\xf4\x80\xea\xcfdfE5s\xac^M'), '\x64' + '\145' + '\x63' + '\x6f' + '\x64' + '\145')(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(56)) + bZpMR4WgIDJi + roI3spqORKae(ES5oEprVxulp(b"\x9e\x93\x9f\xbf\xbb\x94\xda\xc0d\x7fB52\xebS\x1ez\xbec\xf4'"), '\144' + chr(0b1010110 + 0o17) + chr(2251 - 2152) + '\x6f' + chr(100) + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101100 + 0o1) + chr(56))
roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\x8f\x9d\x91\xb9\xa0\x94\xf1'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + chr(0b11011 + 0o111) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + '\055' + '\070'))(bZpMR4WgIDJi + roI3spqORKae(ES5oEprVxulp(b'\x9e\x93\x9f\xbf\xbb\x94\xda\xc0d\x7fB52\xebS\x1ez'), '\x64' + '\x65' + chr(99) + '\x6f' + chr(5673 - 5573) + '\x65')(chr(0b101001 + 0o114) + chr(0b1110100) + chr(102) + chr(844 - 799) + chr(0b101001 + 0o17)), cWEVyV3Ak_kP, delimiter=roI3spqORKae(ES5oEprVxulp(b'\xd0'), '\x64' + chr(1857 - 1756) + chr(99) + chr(0b1101111) + chr(872 - 772) + chr(101))('\x75' + '\x74' + chr(102) + chr(45) + chr(56)))
else:
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xd1\xdc\xdb\xbe\xea'), chr(3345 - 3245) + chr(0b1010101 + 0o20) + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(0b111000 + 0o75) + chr(2960 - 2844) + chr(8974 - 8872) + chr(0b10000 + 0o35) + chr(0b10000 + 0o50)) + sChW4gUsXrIC + roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x85\xe2\xee\xcc'), chr(8863 - 8763) + '\145' + '\143' + '\157' + '\144' + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(1393 - 1348) + chr(0b101010 + 0o16)) + N9zlRy29S1SS(v850snntN8PO[ZlbFMSG8gCoF][sChW4gUsXrIC]) + roI3spqORKae(ES5oEprVxulp(b'\xc0\x9e\x95\xe2'), '\x64' + chr(0b11110 + 0o107) + chr(99) + chr(7616 - 7505) + chr(0b0 + 0o144) + chr(101))(chr(0b1110101) + '\164' + chr(102) + chr(1474 - 1429) + '\x38')
P86jWb9AzDn1 += roI3spqORKae(ES5oEprVxulp(b'\xc0\xd3\x85\xb3\xb0\x95\xbb\x90*zT<?\xfb'), chr(863 - 763) + '\145' + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(12055 - 11938) + chr(0b1110100) + '\x66' + '\055' + chr(1144 - 1088))
with DnU3Rq9N5ala(bZpMR4WgIDJi + _Q0oy10JtLFd, roI3spqORKae(ES5oEprVxulp(b'\x8b'), chr(0b1001011 + 0o31) + chr(101) + chr(0b1011100 + 0o7) + '\157' + '\144' + '\145')('\x75' + chr(0b1110100) + '\146' + chr(1370 - 1325) + chr(0b110100 + 0o4))) as GtsVUCYulgYX:
roI3spqORKae(GtsVUCYulgYX, roI3spqORKae(ES5oEprVxulp(b'\x91\x90\xd7\xb4\xbc\x9c\xf3\x9dIbQc'), chr(0b1000010 + 0o42) + '\145' + '\x63' + chr(0b1001111 + 0o40) + '\x64' + chr(9131 - 9030))(chr(0b100 + 0o161) + '\164' + chr(10387 - 10285) + '\055' + chr(0b111000)))(P86jWb9AzDn1)
roI3spqORKae(GtsVUCYulgYX, roI3spqORKae(ES5oEprVxulp(b'\xa6\x99\x96\xeb\x97\x8f\xe3\x95Pv\x18;'), chr(0b1100100) + chr(0b1011101 + 0o10) + '\x63' + '\157' + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b111010 + 0o54) + chr(45) + chr(0b10000 + 0o50)))() |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.add_history | def add_history(self, fname, fargs, init=0):
"""
Adds a processing step to TenetoBIDS.history.
"""
if init == 1:
self.history = []
self.history.append([fname, fargs]) | python | def add_history(self, fname, fargs, init=0):
"""
Adds a processing step to TenetoBIDS.history.
"""
if init == 1:
self.history = []
self.history.append([fname, fargs]) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L129-L135 | train | Adds a processing step to TenetoBIDS. history. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10101 + 0o33) + '\157' + '\x33' + chr(2783 - 2728) + chr(1002 - 950), 0b1000), nzTpIcepk0o8(chr(594 - 546) + '\157' + chr(49) + '\061' + chr(1111 - 1062), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(51) + chr(0b110100) + chr(50), 0o10), nzTpIcepk0o8('\060' + '\157' + '\061' + chr(0b110011) + '\065', ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b1000 + 0o55) + chr(0b11110 + 0o26), 0b1000), nzTpIcepk0o8(chr(0b1100 + 0o44) + '\157' + chr(1486 - 1435) + '\066' + chr(53), 11218 - 11210), nzTpIcepk0o8('\060' + chr(9056 - 8945) + chr(1451 - 1401) + chr(772 - 718) + chr(0b1011 + 0o46), ord("\x08")), nzTpIcepk0o8('\x30' + chr(6204 - 6093) + '\061' + chr(0b101 + 0o60) + chr(0b101 + 0o53), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b11100 + 0o33) + chr(0b110110), 47611 - 47603), nzTpIcepk0o8('\x30' + chr(7627 - 7516) + chr(0b1 + 0o61) + '\062' + chr(53), 50238 - 50230), nzTpIcepk0o8('\060' + chr(111) + chr(1766 - 1716) + chr(0b11101 + 0o31) + chr(53), 58644 - 58636), nzTpIcepk0o8(chr(464 - 416) + '\157' + chr(51) + '\x33', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b100000 + 0o117) + chr(0b101110 + 0o3) + chr(50) + '\x31', 0b1000), nzTpIcepk0o8(chr(423 - 375) + '\157' + chr(51) + '\x35', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(3394 - 3283) + chr(0b110010) + chr(55) + '\x37', 14867 - 14859), nzTpIcepk0o8('\x30' + chr(0b1 + 0o156) + chr(0b10101 + 0o35) + chr(48) + chr(50), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b11101 + 0o26) + '\x37', 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(459 - 411) + chr(0b110010), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + '\x37' + '\x34', 0b1000), nzTpIcepk0o8(chr(1914 - 1866) + chr(0b1101111) + '\x32' + chr(52) + chr(53), 34454 - 34446), nzTpIcepk0o8(chr(661 - 613) + '\x6f' + '\x33' + chr(50) + chr(0b100110 + 0o14), 0o10), nzTpIcepk0o8(chr(1842 - 1794) + chr(1646 - 1535) + chr(0b110011) + chr(607 - 553) + chr(0b11010 + 0o35), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(0b110111) + '\061', 18178 - 18170), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + '\060', 48495 - 48487), nzTpIcepk0o8(chr(1488 - 1440) + chr(111) + '\x31' + '\065' + '\x30', 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(49) + chr(0b11 + 0o61), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(7820 - 7709) + chr(0b110011 + 0o0) + chr(992 - 943) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(1723 - 1675) + chr(111) + chr(726 - 676) + '\066' + chr(0b100100 + 0o23), 8256 - 8248), nzTpIcepk0o8(chr(1132 - 1084) + chr(0b1101111) + chr(0b1001 + 0o56), ord("\x08")), nzTpIcepk0o8(chr(221 - 173) + '\157' + '\063' + chr(1189 - 1137) + '\x36', 0b1000), nzTpIcepk0o8(chr(0b101 + 0o53) + '\157' + chr(50) + '\x34' + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(8569 - 8458) + '\x32', 32177 - 32169), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b1101111) + chr(2052 - 2003) + chr(1866 - 1815) + '\067', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(48) + chr(51), ord("\x08")), nzTpIcepk0o8('\x30' + chr(3732 - 3621) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + '\063' + '\x34' + '\062', 8), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + chr(51) + '\x33', 15782 - 15774), nzTpIcepk0o8(chr(48) + chr(5630 - 5519) + chr(329 - 278) + chr(0b110000) + chr(0b101111 + 0o4), 45079 - 45071), nzTpIcepk0o8('\x30' + '\157' + '\067', 8), nzTpIcepk0o8('\x30' + chr(0b10 + 0o155) + chr(863 - 812) + chr(0b110110) + chr(52), 6890 - 6882)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x35' + chr(0b100101 + 0o13), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd2'), chr(100) + '\x65' + chr(677 - 578) + chr(4604 - 4493) + '\144' + '\x65')('\165' + chr(7758 - 7642) + chr(0b1100110) + chr(0b10101 + 0o30) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def ylq1RQNW2ssZ(hXMPsSrOQzbh, jXqxEQuu_5DD, gMS1WnlCnxA3, pp8xR9RCeTI4=nzTpIcepk0o8(chr(1288 - 1240) + '\157' + chr(0b110000), 0o10)):
if pp8xR9RCeTI4 == nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49), 0b1000):
hXMPsSrOQzbh.v7fOR4wOhUN2 = []
roI3spqORKae(hXMPsSrOQzbh.history, roI3spqORKae(ES5oEprVxulp(b'\xb4\x1d\xb1iT\x92\xf6\x07T\xfa\xe0.'), chr(100) + chr(0b1100101) + '\x63' + chr(1743 - 1632) + '\144' + '\145')(chr(0b1110010 + 0o3) + chr(0b101100 + 0o110) + chr(0b1001011 + 0o33) + '\x2d' + '\070'))([jXqxEQuu_5DD, gMS1WnlCnxA3]) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.export_history | def export_history(self, dirname):
"""
Exports TenetoBIDShistory.py, tenetoinfo.json, requirements.txt (modules currently imported) to dirname
Parameters
---------
dirname : str
directory to export entire TenetoBIDS history.
"""
mods = [(m.__name__, m.__version__)
for m in sys.modules.values() if m if hasattr(m, '__version__')]
with open(dirname + '/requirements.txt', 'w') as f:
for m in mods:
m = list(m)
if not isinstance(m[1], str):
m[1] = m[1].decode("utf-8")
f.writelines(m[0] + ' == ' + m[1] + '\n')
with open(dirname + '/TenetoBIDShistory.py', 'w') as f:
f.writelines('import teneto\n')
for func, args in self.history:
f.writelines(func + '(**' + str(args) + ')\n')
with open(dirname + '/tenetoinfo.json', 'w') as f:
json.dump(self.tenetoinfo, f) | python | def export_history(self, dirname):
"""
Exports TenetoBIDShistory.py, tenetoinfo.json, requirements.txt (modules currently imported) to dirname
Parameters
---------
dirname : str
directory to export entire TenetoBIDS history.
"""
mods = [(m.__name__, m.__version__)
for m in sys.modules.values() if m if hasattr(m, '__version__')]
with open(dirname + '/requirements.txt', 'w') as f:
for m in mods:
m = list(m)
if not isinstance(m[1], str):
m[1] = m[1].decode("utf-8")
f.writelines(m[0] + ' == ' + m[1] + '\n')
with open(dirname + '/TenetoBIDShistory.py', 'w') as f:
f.writelines('import teneto\n')
for func, args in self.history:
f.writelines(func + '(**' + str(args) + ')\n')
with open(dirname + '/tenetoinfo.json', 'w') as f:
json.dump(self.tenetoinfo, f) | [
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"m"... | Exports TenetoBIDShistory.py, tenetoinfo.json, requirements.txt (modules currently imported) to dirname
Parameters
---------
dirname : str
directory to export entire TenetoBIDS history. | [
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"to",
"dirname"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L137-L162 | train | Exports the history of the current TenetoBIDS instance to dirname | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + '\x6f' + chr(2278 - 2224) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(111) + chr(0b110001) + chr(55) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + '\x33' + chr(50) + chr(2333 - 2280), 53612 - 53604), nzTpIcepk0o8('\x30' + '\157' + '\062' + '\x32' + chr(48), 3618 - 3610), nzTpIcepk0o8(chr(48) + '\x6f' + '\x32' + '\x36' + chr(54), 0b1000), nzTpIcepk0o8('\060' + chr(7303 - 7192) + '\x31' + chr(2194 - 2139) + '\x30', 0b1000), nzTpIcepk0o8(chr(58 - 10) + chr(0b1100100 + 0o13) + chr(0b110010) + '\064', ord("\x08")), nzTpIcepk0o8(chr(305 - 257) + chr(0b1101111) + chr(0b110010) + chr(0b101110 + 0o6) + chr(2210 - 2157), 0o10), nzTpIcepk0o8(chr(1921 - 1873) + chr(111) + chr(1199 - 1149) + '\064', 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + chr(0b110011) + chr(53), 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b101111 + 0o3) + chr(0b110000) + chr(50), 0o10), nzTpIcepk0o8(chr(1969 - 1921) + '\157' + '\067' + '\062', 9878 - 9870), nzTpIcepk0o8(chr(0b110000) + chr(7058 - 6947) + '\x31' + chr(0b110110), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100011 + 0o17) + chr(0b110011) + '\065', 8), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + chr(559 - 508) + chr(641 - 587), 59027 - 59019), nzTpIcepk0o8(chr(0b110000) + chr(3578 - 3467) + chr(53) + '\x32', 55920 - 55912), nzTpIcepk0o8('\060' + '\x6f' + chr(860 - 811) + chr(2278 - 2227) + chr(0b110001), 0b1000), nzTpIcepk0o8('\x30' + chr(0b110000 + 0o77) + '\063' + chr(1594 - 1540) + chr(910 - 861), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(10540 - 10429) + chr(1833 - 1778) + '\061', ord("\x08")), nzTpIcepk0o8(chr(1223 - 1175) + chr(111) + '\x33' + chr(48) + chr(0b11100 + 0o32), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b10100 + 0o37) + chr(0b101 + 0o55) + '\x35', 8), nzTpIcepk0o8(chr(0b100110 + 0o12) + chr(3838 - 3727) + '\x36' + chr(0b10111 + 0o33), 0b1000), nzTpIcepk0o8(chr(48) + chr(7529 - 7418) + '\x33' + chr(0b11001 + 0o27) + chr(0b10011 + 0o42), 0b1000), nzTpIcepk0o8(chr(2113 - 2065) + '\157' + chr(0b110010) + chr(0b100101 + 0o15), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(1031 - 980) + chr(0b101011 + 0o10) + chr(1871 - 1817), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(6360 - 6249) + '\x33' + chr(0b110111) + chr(50), 58519 - 58511), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b1101 + 0o50) + chr(0b110010), 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b100 + 0o56) + chr(0b110111) + chr(0b110010), 38945 - 38937), nzTpIcepk0o8(chr(0b110000) + chr(0b1101 + 0o142) + chr(901 - 852) + chr(1593 - 1544) + chr(277 - 229), 0o10), nzTpIcepk0o8('\x30' + chr(0b100010 + 0o115) + chr(52) + chr(49), 0o10), nzTpIcepk0o8(chr(2015 - 1967) + chr(0b1001111 + 0o40) + '\x31' + chr(0b11111 + 0o27) + chr(2059 - 2009), ord("\x08")), nzTpIcepk0o8(chr(169 - 121) + chr(111) + chr(50) + '\x33' + chr(49), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(6919 - 6808) + chr(516 - 467) + chr(0b1100 + 0o51) + '\x37', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b1011 + 0o46) + chr(55) + chr(1744 - 1694), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(0b110100) + chr(1921 - 1869), 17728 - 17720), nzTpIcepk0o8(chr(48) + chr(0b101001 + 0o106) + '\x31' + chr(0b1100 + 0o52), 8), nzTpIcepk0o8(chr(1760 - 1712) + '\157' + chr(50) + '\061', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(0b10101 + 0o36) + chr(953 - 898), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + '\066' + chr(0b110100), 59662 - 59654), nzTpIcepk0o8('\x30' + chr(0b1010011 + 0o34) + '\063', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(0b1101000 + 0o7) + chr(1401 - 1348) + chr(0b10 + 0o56), 50898 - 50890)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x1f'), chr(0b10110 + 0o116) + chr(0b10000 + 0o125) + chr(3062 - 2963) + chr(3058 - 2947) + chr(100) + chr(0b1100101))(chr(1454 - 1337) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def pp2snCuWzZQV(hXMPsSrOQzbh, qu5fsQlGSLfc):
RGJZK8urk44b = [(tF75nqoNENFL.AYtDRlqeP0tq, tF75nqoNENFL.__version__) for tF75nqoNENFL in bpyfpu4kTbwL.modules.CsodZJH6x9Tx() if tF75nqoNENFL if dRKdVnHPFq7C(tF75nqoNENFL, roI3spqORKae(ES5oEprVxulp(b'n%\xa3\xf5\xc4\x0b}\xcaz\xc2\xdd'), chr(100) + '\x65' + '\x63' + chr(0b1010011 + 0o34) + chr(7918 - 7818) + '\x65')(chr(9205 - 9088) + chr(9061 - 8945) + '\146' + '\055' + chr(0b111000)))]
with DnU3Rq9N5ala(qu5fsQlGSLfc + roI3spqORKae(ES5oEprVxulp(b'\x1e\x08\xb0\xe1\xc3\x11f\xc0y\xf8\xecN}\xb3*R-'), chr(0b1100100) + chr(4249 - 4148) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100 + 0o0) + chr(0b100011 + 0o103) + chr(45) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'F'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1010101 + 0o17) + '\x65')(chr(8857 - 8740) + '\x74' + chr(0b1011000 + 0o16) + '\055' + chr(0b100 + 0o64))) as _R8IKF5IwAfX:
for tF75nqoNENFL in RGJZK8urk44b:
tF75nqoNENFL = H4NoA26ON7iG(tF75nqoNENFL)
if not suIjIS24Zkqw(tF75nqoNENFL[nzTpIcepk0o8(chr(1441 - 1393) + chr(9964 - 9853) + chr(1311 - 1262), ord("\x08"))], N9zlRy29S1SS):
tF75nqoNENFL[nzTpIcepk0o8(chr(1610 - 1562) + '\x6f' + '\061', 8)] = tF75nqoNENFL[nzTpIcepk0o8(chr(1340 - 1292) + chr(5213 - 5102) + chr(49), 8)].lfbFsdWlT3MB(roI3spqORKae(ES5oEprVxulp(b'D\x0e\xb3\xbd\x8e'), chr(100) + chr(101) + chr(7648 - 7549) + chr(0b1101111) + chr(100) + chr(0b1001100 + 0o31))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b101101) + chr(56)))
roI3spqORKae(_R8IKF5IwAfX, roI3spqORKae(ES5oEprVxulp(b'F\x08\xbc\xe4\xd3\x14}\xcbq\xee'), chr(0b1010111 + 0o15) + chr(0b1100101) + '\143' + chr(0b11011 + 0o124) + chr(0b1100100) + '\145')(chr(117) + chr(116) + '\x66' + '\055' + '\070'))(tF75nqoNENFL[nzTpIcepk0o8('\060' + '\157' + '\060', ord("\x08"))] + roI3spqORKae(ES5oEprVxulp(b'\x11G\xe8\xb0'), chr(0b1100100) + chr(0b1011011 + 0o12) + '\143' + chr(0b1101111) + chr(0b100010 + 0o102) + '\x65')('\x75' + chr(116) + chr(4513 - 4411) + chr(0b100110 + 0o7) + '\070') + tF75nqoNENFL[nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001), 8)] + roI3spqORKae(ES5oEprVxulp(b';'), '\144' + chr(3393 - 3292) + '\143' + '\x6f' + chr(0b1001 + 0o133) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b11 + 0o143) + chr(0b101101) + chr(0b111000)))
with DnU3Rq9N5ala(qu5fsQlGSLfc + roI3spqORKae(ES5oEprVxulp(b'\x1e.\xb0\xfe\xd3\x0c{\xe7]\xd9\xd1Rg\xee*E+\x88\x17\xb6\xac'), chr(0b1001111 + 0o25) + chr(0b1100101) + chr(99) + chr(111) + chr(0b100100 + 0o100) + chr(572 - 471))(chr(4841 - 4724) + chr(116) + '\x66' + chr(0b101100 + 0o1) + '\070'), roI3spqORKae(ES5oEprVxulp(b'F'), chr(0b1001 + 0o133) + chr(101) + chr(4672 - 4573) + chr(0b1100001 + 0o16) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + '\x2d' + chr(56))) as _R8IKF5IwAfX:
roI3spqORKae(_R8IKF5IwAfX, roI3spqORKae(ES5oEprVxulp(b'F\x08\xbc\xe4\xd3\x14}\xcbq\xee'), '\x64' + chr(101) + '\x63' + chr(0b1101011 + 0o4) + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070'))(roI3spqORKae(ES5oEprVxulp(b'X\x17\xa5\xff\xc4\x0c4\xd1q\xf3\xe7Na\x97'), chr(0b1100100) + '\145' + chr(0b1010010 + 0o21) + chr(0b1101111) + chr(3408 - 3308) + '\145')(chr(117) + '\164' + chr(102) + chr(0b10000 + 0o35) + '\070'))
for (h0klhChk4Vv6, eemPYp2vtTSr) in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'GM\xb3\xdf\xe4Lc\xea|\xc8\xcc\x08'), chr(5156 - 5056) + chr(0b1001101 + 0o30) + chr(0b10 + 0o141) + chr(944 - 833) + chr(0b10101 + 0o117) + chr(101))('\x75' + chr(0b1001000 + 0o54) + chr(102) + '\x2d' + '\x38')):
roI3spqORKae(_R8IKF5IwAfX, roI3spqORKae(ES5oEprVxulp(b'F\x08\xbc\xe4\xd3\x14}\xcbq\xee'), chr(100) + chr(0b10110 + 0o117) + chr(7030 - 6931) + chr(0b1101111) + chr(0b111110 + 0o46) + '\145')(chr(117) + chr(0b1100100 + 0o20) + chr(0b10110 + 0o120) + chr(0b101101) + chr(0b111000)))(h0klhChk4Vv6 + roI3spqORKae(ES5oEprVxulp(b'\x19P\xff'), chr(0b100011 + 0o101) + chr(0b1001100 + 0o31) + chr(5131 - 5032) + chr(111) + chr(0b1100100) + chr(0b110110 + 0o57))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(157 - 112) + chr(0b111000)) + N9zlRy29S1SS(eemPYp2vtTSr) + roI3spqORKae(ES5oEprVxulp(b'\x18p'), '\144' + chr(0b1100101) + chr(0b101010 + 0o71) + chr(0b1101111) + '\x64' + '\145')(chr(6972 - 6855) + chr(0b1011111 + 0o25) + chr(9021 - 8919) + '\055' + chr(0b111000)))
with DnU3Rq9N5ala(qu5fsQlGSLfc + roI3spqORKae(ES5oEprVxulp(b'\x1e\x0e\xb0\xfe\xd3\x0c{\xccz\xfb\xed\x14d\xee1D'), chr(0b1001111 + 0o25) + chr(101) + '\x63' + '\157' + chr(0b1100100) + '\x65')('\x75' + '\x74' + '\x66' + '\055' + chr(742 - 686)), roI3spqORKae(ES5oEprVxulp(b'F'), chr(0b1100100) + chr(6909 - 6808) + '\143' + chr(10051 - 9940) + '\144' + '\x65')(chr(0b1110101) + chr(0b1001111 + 0o45) + chr(0b10100 + 0o122) + chr(45) + chr(56))) as _R8IKF5IwAfX:
roI3spqORKae(LNUKEwZDIbyb, roI3spqORKae(ES5oEprVxulp(b'U\x0f\xb8\xe0'), chr(3257 - 3157) + chr(0b1100101) + chr(0b1100011) + '\157' + '\x64' + '\x65')('\x75' + '\164' + '\146' + '\055' + '\070'))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'E\x1f\xbb\xf5\xc2\x17}\xcbr\xf2'), chr(0b1100100) + chr(101) + chr(4619 - 4520) + '\157' + chr(0b1100100) + chr(2454 - 2353))(chr(0b11101 + 0o130) + chr(0b110000 + 0o104) + chr(0b1110 + 0o130) + chr(45) + chr(0b11000 + 0o40))), _R8IKF5IwAfX) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.derive_temporalnetwork | def derive_temporalnetwork(self, params, update_pipeline=True, tag=None, njobs=1, confound_corr_report=True):
"""
Derive time-varying connectivity on the selected files.
Parameters
----------
params : dict.
See teneto.timeseries.derive_temporalnetwork for the structure of the param dictionary. Assumes dimord is time,node (output of other TenetoBIDS funcitons)
update_pipeline : bool
If true, the object updates the selected files with those derived here.
njobs : int
How many parallel jobs to run
confound_corr_report : bool
If true, histograms and summary statistics of TVC and confounds are plotted in a report directory.
tag : str
any additional tag that will be placed in the saved file name. Will be placed as 'desc-[tag]'
Returns
-------
dfc : files
saved in .../derivatives/teneto/sub-xxx/tvc/..._tvc.npy
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
files = self.get_selected_files(quiet=1)
confound_files = self.get_selected_files(quiet=1, pipeline='confound')
if confound_files:
confounds_exist = True
else:
confounds_exist = False
if not confound_corr_report:
confounds_exist = False
if not tag:
tag = ''
else:
tag = 'desc-' + tag
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._derive_temporalnetwork, f, i, tag, params,
confounds_exist, confound_files) for i, f in enumerate(files) if f}
for j in as_completed(job):
j.result()
if update_pipeline == True:
if not self.confound_pipeline and len(self.get_selected_files(quiet=1, pipeline='confound')) > 0:
self.set_confound_pipeline = self.pipeline
self.set_pipeline('teneto_' + teneto.__version__)
self.set_pipeline_subdir('tvc')
self.set_bids_suffix('tvcconn') | python | def derive_temporalnetwork(self, params, update_pipeline=True, tag=None, njobs=1, confound_corr_report=True):
"""
Derive time-varying connectivity on the selected files.
Parameters
----------
params : dict.
See teneto.timeseries.derive_temporalnetwork for the structure of the param dictionary. Assumes dimord is time,node (output of other TenetoBIDS funcitons)
update_pipeline : bool
If true, the object updates the selected files with those derived here.
njobs : int
How many parallel jobs to run
confound_corr_report : bool
If true, histograms and summary statistics of TVC and confounds are plotted in a report directory.
tag : str
any additional tag that will be placed in the saved file name. Will be placed as 'desc-[tag]'
Returns
-------
dfc : files
saved in .../derivatives/teneto/sub-xxx/tvc/..._tvc.npy
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
files = self.get_selected_files(quiet=1)
confound_files = self.get_selected_files(quiet=1, pipeline='confound')
if confound_files:
confounds_exist = True
else:
confounds_exist = False
if not confound_corr_report:
confounds_exist = False
if not tag:
tag = ''
else:
tag = 'desc-' + tag
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._derive_temporalnetwork, f, i, tag, params,
confounds_exist, confound_files) for i, f in enumerate(files) if f}
for j in as_completed(job):
j.result()
if update_pipeline == True:
if not self.confound_pipeline and len(self.get_selected_files(quiet=1, pipeline='confound')) > 0:
self.set_confound_pipeline = self.pipeline
self.set_pipeline('teneto_' + teneto.__version__)
self.set_pipeline_subdir('tvc')
self.set_bids_suffix('tvcconn') | [
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... | Derive time-varying connectivity on the selected files.
Parameters
----------
params : dict.
See teneto.timeseries.derive_temporalnetwork for the structure of the param dictionary. Assumes dimord is time,node (output of other TenetoBIDS funcitons)
update_pipeline : bool
If true, the object updates the selected files with those derived here.
njobs : int
How many parallel jobs to run
confound_corr_report : bool
If true, histograms and summary statistics of TVC and confounds are plotted in a report directory.
tag : str
any additional tag that will be placed in the saved file name. Will be placed as 'desc-[tag]'
Returns
-------
dfc : files
saved in .../derivatives/teneto/sub-xxx/tvc/..._tvc.npy | [
"Derive",
"time",
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"varying",
"connectivity",
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L164-L219 | train | Derive time - vary connectivity on the selected files. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(111) + chr(558 - 507) + chr(52) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\067' + '\063', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(0b10111 + 0o35), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(52) + chr(2316 - 2263), 44754 - 44746), nzTpIcepk0o8('\x30' + chr(6875 - 6764) + '\x31' + chr(0b1101 + 0o47) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x32' + chr(53) + chr(0b110111), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(53) + chr(0b110101), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(1299 - 1248) + '\065' + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b100 + 0o153) + chr(0b1010 + 0o47) + chr(0b110010) + '\x35', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(193 - 141) + chr(55), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\063' + '\x37', 54775 - 54767), nzTpIcepk0o8(chr(48) + chr(0b11010 + 0o125) + '\x32' + chr(0b110010) + chr(0b10101 + 0o34), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(0b100100 + 0o16) + '\061', 23021 - 23013), nzTpIcepk0o8(chr(0b10110 + 0o32) + '\157' + chr(0b110011) + '\062' + chr(0b110010 + 0o1), 61689 - 61681), nzTpIcepk0o8(chr(0b10 + 0o56) + '\157' + chr(0b10101 + 0o36) + chr(0b110001) + chr(0b110011 + 0o0), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + chr(502 - 453) + chr(2683 - 2629), 0b1000), nzTpIcepk0o8('\060' + chr(6240 - 6129) + chr(1265 - 1214) + chr(50) + chr(1321 - 1272), 8), nzTpIcepk0o8(chr(2257 - 2209) + chr(0b1000000 + 0o57) + chr(0b11110 + 0o23) + chr(52) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b110100 + 0o73) + chr(49) + '\x35' + chr(291 - 238), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100 + 0o56) + chr(1375 - 1326) + '\x31', 0b1000), nzTpIcepk0o8(chr(48) + chr(8113 - 8002) + '\066' + '\x32', 46328 - 46320), nzTpIcepk0o8(chr(1589 - 1541) + '\x6f' + '\062' + chr(0b101111 + 0o6) + chr(0b110000), 50527 - 50519), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x31' + chr(0b110010) + chr(55), ord("\x08")), nzTpIcepk0o8(chr(2186 - 2138) + chr(0b1100000 + 0o17) + chr(782 - 733) + chr(0b110101) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(2055 - 2007) + '\157' + '\061' + chr(136 - 82) + '\x36', 0o10), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110011) + chr(0b10110 + 0o35) + chr(0b10111 + 0o31), 16765 - 16757), nzTpIcepk0o8('\x30' + chr(0b10101 + 0o132) + '\x32' + chr(0b1100 + 0o53) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(1190 - 1142) + '\x6f' + chr(0b10001 + 0o41) + '\066' + '\x34', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\x33', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x32' + chr(2765 - 2712), 0b1000), nzTpIcepk0o8('\x30' + chr(10743 - 10632) + chr(0b110011) + chr(51) + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + '\x34' + '\x30', 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(1954 - 1904) + chr(0b110000) + chr(51), ord("\x08")), nzTpIcepk0o8(chr(917 - 869) + chr(8725 - 8614) + chr(392 - 339) + '\x32', 0o10), nzTpIcepk0o8(chr(1904 - 1856) + '\x6f' + chr(49) + chr(0b101011 + 0o6) + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001 + 0o1) + '\061' + '\x37', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(50) + '\061' + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1101111) + chr(1579 - 1530) + '\067' + chr(0b110001 + 0o5), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + chr(0b110110) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11 + 0o60) + '\x31' + chr(55), 63595 - 63587)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + '\065' + chr(76 - 28), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xc9'), chr(100) + '\x65' + chr(99) + chr(1209 - 1098) + chr(0b1001010 + 0o32) + chr(101))(chr(11459 - 11342) + '\164' + '\x66' + chr(528 - 483) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def _RrSftZnqM6n(hXMPsSrOQzbh, GVgFAYMz7Sw8, sAfvewKOcMW4=nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31', 0o10), A0gVABhHjc3L=None, em5eAK7ynp6O=nzTpIcepk0o8('\060' + '\x6f' + '\x31', 8), ZGfdi3PUzeJX=nzTpIcepk0o8('\060' + chr(0b111011 + 0o64) + chr(0b110001), 8)):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x86_pz\r\xc6^\x9b:\x15f'), chr(0b1100100) + chr(0b1011110 + 0o7) + '\143' + chr(0b11100 + 0o123) + chr(0b1100100) + chr(101))(chr(117) + chr(8540 - 8424) + chr(4534 - 4432) + chr(0b101101) + '\070'))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'\xa0V^|\x1c\xd5u\x8e\x04&e\xd2'), chr(100) + chr(6735 - 6634) + chr(99) + chr(8697 - 8586) + chr(6814 - 6714) + chr(0b101000 + 0o75))(chr(0b1110101) + chr(0b1100111 + 0o15) + chr(0b1100110) + chr(0b101101) + chr(982 - 926)))()[nzTpIcepk0o8(chr(334 - 286) + '\x6f' + chr(48), 12111 - 12103)][nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(0b1101111) + chr(672 - 621), 8)], y0cCpS6dh4OT(), nzTpIcepk0o8('\060' + chr(111) + chr(0b10011 + 0o36), 8))
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(642 - 594) + chr(111) + '\x31', 8))
WY6lh1o4QBLb = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b1101111) + '\x31', 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'\x84TzC\n\xdaC\x8b'), chr(0b100101 + 0o77) + chr(0b10100 + 0o121) + '\143' + chr(8865 - 8754) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1010000 + 0o44) + chr(0b1100110) + chr(0b101101) + '\070'))
if WY6lh1o4QBLb:
wQLP3l_xAIR2 = nzTpIcepk0o8('\060' + '\157' + '\061', 8)
else:
wQLP3l_xAIR2 = nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(48), 8)
if not ZGfdi3PUzeJX:
wQLP3l_xAIR2 = nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(48), 8)
if not A0gVABhHjc3L:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b''), chr(2437 - 2337) + chr(1633 - 1532) + '\143' + chr(7553 - 7442) + '\x64' + '\145')('\165' + chr(4098 - 3982) + '\x66' + chr(0b1000 + 0o45) + chr(0b10 + 0o66))
else:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b'\x83^gFH'), '\x64' + '\x65' + chr(0b110110 + 0o55) + chr(3873 - 3762) + chr(5024 - 4924) + chr(3454 - 3353))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)) + A0gVABhHjc3L
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._derive_temporalnetwork, _R8IKF5IwAfX, ZlbFMSG8gCoF, A0gVABhHjc3L, GVgFAYMz7Sw8, wQLP3l_xAIR2, WY6lh1o4QBLb) for (ZlbFMSG8gCoF, _R8IKF5IwAfX) in _kV_Bomx8PZ4(wR5_YWECjaY7) if _R8IKF5IwAfX}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'\xb7tl\x1cP\xc2\x1a\xbc\x05(I\xe8'), chr(0b1100100) + chr(0b1101 + 0o130) + chr(9705 - 9606) + chr(0b1100110 + 0o11) + chr(100) + chr(2767 - 2666))('\x75' + '\x74' + '\x66' + '\055' + chr(2851 - 2795)))()
if sAfvewKOcMW4:
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x84TzC\n\xdaC\x8b\n\x17v\xe1\xb4\xbf\xa2\xe0\xb4'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1010001 + 0o23) + chr(0b100000 + 0o105))(chr(8727 - 8610) + chr(116) + '\x66' + chr(71 - 26) + chr(0b111000))) and ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x80^`z\x16\xcaA\x8a6\x13z\xf5\x8e\xb5\xa2\xe2\xb4\x15'), '\144' + chr(1308 - 1207) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b1011111 + 0o26) + '\x74' + chr(102) + '\x2d' + chr(0b10000 + 0o50)))(quiet=nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31', 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'\x84TzC\n\xdaC\x8b'), '\144' + chr(101) + chr(0b1101 + 0o126) + chr(6263 - 6152) + chr(100) + '\145')(chr(5679 - 5562) + chr(116) + chr(0b1011101 + 0o11) + chr(0b101101) + '\x38'))) > nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\060', 8):
hXMPsSrOQzbh.jcMjMO4LX8Op = hXMPsSrOQzbh.pipeline
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x94^`z\x15\xc6]\x8a9\x0eq\xf4'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\x64' + '\x65')('\x75' + chr(116) + chr(0b111110 + 0o50) + chr(0b100000 + 0o15) + '\x38'))(roI3spqORKae(ES5oEprVxulp(b'\x93^z@\x11\xc0r'), '\x64' + chr(0b1100011 + 0o2) + chr(0b10011 + 0o120) + chr(0b1101111) + '\144' + '\145')(chr(0b1010111 + 0o36) + chr(0b1110100) + '\146' + chr(45) + chr(56)) + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'\xb8db@\x17\xdcD\x80;8@'), '\144' + chr(5860 - 5759) + chr(99) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1101100 + 0o11) + chr(116) + chr(7777 - 7675) + '\055' + chr(0b100101 + 0o23))))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x94^`z\x15\xc6]\x8a9\x0eq\xf4\x8e\xa0\xbe\xec\xb5\x0f\x1f'), chr(3901 - 3801) + chr(0b11100 + 0o111) + chr(99) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b11110 + 0o126) + '\146' + chr(0b101101) + chr(1631 - 1575)))(roI3spqORKae(ES5oEprVxulp(b'\x93Mw'), chr(100) + chr(101) + chr(2751 - 2652) + chr(0b1100111 + 0o10) + '\144' + chr(0b1100101))(chr(117) + chr(0b11111 + 0o125) + '\x66' + chr(45) + chr(56)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x94^`z\x07\xc6I\x9c\n\x14j\xf7\xb7\xba\xb3'), chr(0b1100100) + chr(0b101010 + 0o73) + chr(99) + chr(6860 - 6749) + chr(0b1100100) + '\x65')('\x75' + chr(0b11101 + 0o127) + '\146' + '\055' + chr(812 - 756)))(roI3spqORKae(ES5oEprVxulp(b'\x93MwF\n\xc1C'), chr(1036 - 936) + chr(0b1001010 + 0o33) + '\x63' + chr(0b100111 + 0o110) + chr(100) + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(45) + '\070')) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS._derive_temporalnetwork | def _derive_temporalnetwork(self, f, i, tag, params, confounds_exist, confound_files):
"""
Funciton called by TenetoBIDS.derive_temporalnetwork for concurrent processing.
"""
data = load_tabular_file(f, index_col=True, header=True)
fs, _ = drop_bids_suffix(f)
save_name, save_dir, _ = self._save_namepaths_bids_derivatives(
fs, tag, 'tvc', 'tvcconn')
if 'weight-var' in params.keys():
if params['weight-var'] == 'from-subject-fc':
fc_files = self.get_selected_files(
quiet=1, pipeline='functionalconnectivity', forfile=f)
if len(fc_files) == 1:
# Could change to load_data call
params['weight-var'] = load_tabular_file(
fc_files[0]).values
else:
raise ValueError('Cannot correctly find FC files')
if 'weight-mean' in params.keys():
if params['weight-mean'] == 'from-subject-fc':
fc_files = self.get_selected_files(
quiet=1, pipeline='functionalconnectivity', forfile=f)
if len(fc_files) == 1:
# Could change to load_data call
params['weight-mean'] = load_tabular_file(
fc_files[0]).values
else:
raise ValueError('Cannot correctly find FC files')
params['report'] = 'yes'
params['report_path'] = save_dir + '/report/'
params['report_filename'] = save_name + '_derivationreport.html'
if not os.path.exists(params['report_path']):
os.makedirs(params['report_path'])
if 'dimord' not in params:
params['dimord'] = 'time,node'
dfc = teneto.timeseries.derive_temporalnetwork(data.values, params)
dfc_net = TemporalNetwork(from_array=dfc, nettype='wu')
dfc_net.network.to_csv(save_dir + save_name + '.tsv', sep='\t')
sidecar = get_sidecar(f)
sidecar['tvc'] = params
if 'weight-var' in sidecar['tvc']:
sidecar['tvc']['weight-var'] = True
sidecar['tvc']['fc source'] = fc_files
if 'weight-mean' in sidecar['tvc']:
sidecar['tvc']['weight-mean'] = True
sidecar['tvc']['fc source'] = fc_files
sidecar['tvc']['inputfile'] = f
sidecar['tvc']['description'] = 'Time varying connectivity information.'
with open(save_dir + save_name + '.json', 'w') as fs:
json.dump(sidecar, fs)
if confounds_exist:
analysis_step = 'tvc-derive'
df = pd.read_csv(confound_files[i], sep='\t')
df = df.fillna(df.median())
ind = np.triu_indices(dfc.shape[0], k=1)
dfc_df = pd.DataFrame(dfc[ind[0], ind[1], :].transpose())
# If windowed, prune df so that it matches with dfc_df
if len(df) != len(dfc_df):
df = df.iloc[int(np.round((params['windowsize']-1)/2)): int(np.round((params['windowsize']-1)/2)+len(dfc_df))]
df.reset_index(inplace=True, drop=True)
# NOW CORRELATE DF WITH DFC BUT ALONG INDEX NOT DF.
dfc_df_z = (dfc_df - dfc_df.mean())
df_z = (df - df.mean())
R_df = dfc_df_z.T.dot(df_z).div(len(dfc_df)).div(
df_z.std(ddof=0)).div(dfc_df_z.std(ddof=0), axis=0)
R_df_describe = R_df.describe()
desc_index = R_df_describe.index
confound_report_dir = params['report_path'] + \
'/' + save_name + '_confoundcorr/'
confound_report_figdir = confound_report_dir + 'figures/'
if not os.path.exists(confound_report_figdir):
os.makedirs(confound_report_figdir)
report = '<html><body>'
report += '<h1> Correlation of ' + analysis_step + ' and confounds.</h1>'
for c in R_df.columns:
fig, ax = plt.subplots(1)
ax = sns.distplot(
R_df[c], hist=False, color='m', ax=ax, kde_kws={"shade": True})
fig.savefig(confound_report_figdir + c + '.png')
plt.close(fig)
report += '<h2>' + c + '</h2>'
for ind_name, r in enumerate(R_df_describe[c]):
report += str(desc_index[ind_name]) + ': '
report += str(r) + '<br>'
report += 'Distribution of corrlation values:'
report += '<img src=' + \
os.path.abspath(confound_report_figdir) + \
'/' + c + '.png><br><br>'
report += '</body></html>'
with open(confound_report_dir + save_name + '_confoundcorr.html', 'w') as file:
file.write(report) | python | def _derive_temporalnetwork(self, f, i, tag, params, confounds_exist, confound_files):
"""
Funciton called by TenetoBIDS.derive_temporalnetwork for concurrent processing.
"""
data = load_tabular_file(f, index_col=True, header=True)
fs, _ = drop_bids_suffix(f)
save_name, save_dir, _ = self._save_namepaths_bids_derivatives(
fs, tag, 'tvc', 'tvcconn')
if 'weight-var' in params.keys():
if params['weight-var'] == 'from-subject-fc':
fc_files = self.get_selected_files(
quiet=1, pipeline='functionalconnectivity', forfile=f)
if len(fc_files) == 1:
# Could change to load_data call
params['weight-var'] = load_tabular_file(
fc_files[0]).values
else:
raise ValueError('Cannot correctly find FC files')
if 'weight-mean' in params.keys():
if params['weight-mean'] == 'from-subject-fc':
fc_files = self.get_selected_files(
quiet=1, pipeline='functionalconnectivity', forfile=f)
if len(fc_files) == 1:
# Could change to load_data call
params['weight-mean'] = load_tabular_file(
fc_files[0]).values
else:
raise ValueError('Cannot correctly find FC files')
params['report'] = 'yes'
params['report_path'] = save_dir + '/report/'
params['report_filename'] = save_name + '_derivationreport.html'
if not os.path.exists(params['report_path']):
os.makedirs(params['report_path'])
if 'dimord' not in params:
params['dimord'] = 'time,node'
dfc = teneto.timeseries.derive_temporalnetwork(data.values, params)
dfc_net = TemporalNetwork(from_array=dfc, nettype='wu')
dfc_net.network.to_csv(save_dir + save_name + '.tsv', sep='\t')
sidecar = get_sidecar(f)
sidecar['tvc'] = params
if 'weight-var' in sidecar['tvc']:
sidecar['tvc']['weight-var'] = True
sidecar['tvc']['fc source'] = fc_files
if 'weight-mean' in sidecar['tvc']:
sidecar['tvc']['weight-mean'] = True
sidecar['tvc']['fc source'] = fc_files
sidecar['tvc']['inputfile'] = f
sidecar['tvc']['description'] = 'Time varying connectivity information.'
with open(save_dir + save_name + '.json', 'w') as fs:
json.dump(sidecar, fs)
if confounds_exist:
analysis_step = 'tvc-derive'
df = pd.read_csv(confound_files[i], sep='\t')
df = df.fillna(df.median())
ind = np.triu_indices(dfc.shape[0], k=1)
dfc_df = pd.DataFrame(dfc[ind[0], ind[1], :].transpose())
# If windowed, prune df so that it matches with dfc_df
if len(df) != len(dfc_df):
df = df.iloc[int(np.round((params['windowsize']-1)/2)): int(np.round((params['windowsize']-1)/2)+len(dfc_df))]
df.reset_index(inplace=True, drop=True)
# NOW CORRELATE DF WITH DFC BUT ALONG INDEX NOT DF.
dfc_df_z = (dfc_df - dfc_df.mean())
df_z = (df - df.mean())
R_df = dfc_df_z.T.dot(df_z).div(len(dfc_df)).div(
df_z.std(ddof=0)).div(dfc_df_z.std(ddof=0), axis=0)
R_df_describe = R_df.describe()
desc_index = R_df_describe.index
confound_report_dir = params['report_path'] + \
'/' + save_name + '_confoundcorr/'
confound_report_figdir = confound_report_dir + 'figures/'
if not os.path.exists(confound_report_figdir):
os.makedirs(confound_report_figdir)
report = '<html><body>'
report += '<h1> Correlation of ' + analysis_step + ' and confounds.</h1>'
for c in R_df.columns:
fig, ax = plt.subplots(1)
ax = sns.distplot(
R_df[c], hist=False, color='m', ax=ax, kde_kws={"shade": True})
fig.savefig(confound_report_figdir + c + '.png')
plt.close(fig)
report += '<h2>' + c + '</h2>'
for ind_name, r in enumerate(R_df_describe[c]):
report += str(desc_index[ind_name]) + ': '
report += str(r) + '<br>'
report += 'Distribution of corrlation values:'
report += '<img src=' + \
os.path.abspath(confound_report_figdir) + \
'/' + c + '.png><br><br>'
report += '</body></html>'
with open(confound_report_dir + save_name + '_confoundcorr.html', 'w') as file:
file.write(report) | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L221-L320 | train | Function called by TenetoBIDS. derive_temporalnetwork for concurrent processing. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1448 - 1400) + chr(0b1000 + 0o147) + chr(0b110001) + chr(1262 - 1212) + chr(54), 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(0b1101111) + chr(606 - 556) + '\x35' + chr(0b110001 + 0o3), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\064' + '\x36', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010) + chr(3019 - 2964) + chr(0b100101 + 0o20), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b101 + 0o54) + chr(0b110101), 0b1000), nzTpIcepk0o8('\x30' + chr(4804 - 4693) + chr(50) + chr(0b110101) + chr(50), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(0b110011) + '\064', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(1895 - 1845) + '\060' + chr(0b1 + 0o64), 51167 - 51159), nzTpIcepk0o8('\060' + '\x6f' + '\x32' + chr(0b101010 + 0o7) + chr(0b110011), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1229 - 1180) + chr(1791 - 1742), 5171 - 5163), nzTpIcepk0o8('\x30' + chr(0b1011110 + 0o21) + '\x31' + chr(818 - 767) + chr(0b11001 + 0o27), ord("\x08")), nzTpIcepk0o8(chr(0b111 + 0o51) + '\157' + '\063' + '\064' + chr(0b10100 + 0o36), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\062' + chr(0b110 + 0o61) + '\x31', 0o10), nzTpIcepk0o8('\060' + chr(0b110000 + 0o77) + '\x33' + chr(351 - 298) + '\x32', 0o10), nzTpIcepk0o8(chr(0b100 + 0o54) + '\x6f' + chr(50) + '\064' + chr(0b101100 + 0o5), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b100010 + 0o17) + chr(52) + chr(0b111 + 0o53), ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + '\x33' + chr(52) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1001110 + 0o41) + '\063' + chr(2900 - 2846) + chr(48), 25702 - 25694), nzTpIcepk0o8('\x30' + chr(111) + '\061' + chr(49), 8), nzTpIcepk0o8(chr(2135 - 2087) + chr(0b111111 + 0o60) + chr(1213 - 1158) + chr(0b10101 + 0o34), 0o10), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + chr(916 - 866) + '\060' + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(6269 - 6158) + '\063' + chr(53) + chr(2056 - 2006), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + chr(0b100111 + 0o11) + chr(0b101101 + 0o5), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b1001 + 0o50) + chr(53) + chr(0b101011 + 0o12), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1001110 + 0o41) + chr(50) + chr(53) + '\x31', 0o10), nzTpIcepk0o8('\060' + chr(0b110010 + 0o75) + chr(51) + '\x30' + chr(1261 - 1210), 25005 - 24997), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(7490 - 7379) + '\063' + '\060' + chr(0b10100 + 0o41), 0o10), nzTpIcepk0o8('\060' + '\157' + '\063' + '\x31' + chr(0b110110), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + chr(127 - 76) + chr(0b1001 + 0o51), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(1185 - 1136) + chr(55) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(0b110000 + 0o0) + '\x6f' + chr(0b110011) + chr(0b1111 + 0o43) + chr(203 - 150), 0b1000), nzTpIcepk0o8(chr(48) + chr(6900 - 6789) + '\x31' + chr(0b110101) + chr(53), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + '\x32' + chr(0b100 + 0o57), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b110100) + '\060', 0o10), nzTpIcepk0o8(chr(0b11000 + 0o30) + '\157' + '\061' + chr(50) + '\066', 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(50) + chr(0b10101 + 0o33) + '\064', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + chr(0b110010), 29047 - 29039), nzTpIcepk0o8(chr(48) + chr(0b11100 + 0o123) + chr(50) + chr(0b110100) + chr(49), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(0b110001) + chr(0b110000 + 0o7), 24918 - 24910), nzTpIcepk0o8(chr(0b1111 + 0o41) + '\x6f' + chr(0b110001) + chr(0b110000 + 0o0) + chr(0b110001), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(4375 - 4264) + '\x35' + chr(606 - 558), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'x'), '\144' + chr(0b1011000 + 0o15) + '\x63' + '\157' + chr(100) + chr(7201 - 7100))('\x75' + '\164' + chr(8600 - 8498) + '\x2d' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def kj9QDzf0pqMV(hXMPsSrOQzbh, _R8IKF5IwAfX, ZlbFMSG8gCoF, A0gVABhHjc3L, GVgFAYMz7Sw8, wQLP3l_xAIR2, WY6lh1o4QBLb):
FfKOThdpoDTb = Tv1n_fmB7cly(_R8IKF5IwAfX, index_col=nzTpIcepk0o8(chr(48) + chr(111) + chr(0b10100 + 0o35), ord("\x08")), header=nzTpIcepk0o8(chr(0b110000) + chr(0b11110 + 0o121) + chr(0b1100 + 0o45), 8))
(ANVmZzFk_RHC, zIqcgNgQ9U6F) = rc3WuU7Dnqt_(_R8IKF5IwAfX)
(VR8aY7ued3Ju, tDZBQJxWlNck, zIqcgNgQ9U6F) = hXMPsSrOQzbh._save_namepaths_bids_derivatives(ANVmZzFk_RHC, A0gVABhHjc3L, roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), '\144' + chr(0b100100 + 0o101) + chr(7330 - 7231) + '\x6f' + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + '\055' + chr(0b100110 + 0o22)), roI3spqORKae(ES5oEprVxulp(b'"\xda\x05\xdeb\xc4\xb2'), '\144' + '\x65' + chr(728 - 629) + chr(0b1101111) + chr(100) + chr(5979 - 5878))(chr(117) + '\x74' + chr(0b1100110) + '\x2d' + '\070'))
if roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xf3\xea{'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(360 - 244) + chr(0b1100110) + chr(45) + chr(2603 - 2547)) in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'=\xc9\x1f\xce'), chr(5466 - 5366) + '\x65' + chr(0b101000 + 0o73) + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110011 + 0o2) + '\164' + chr(0b1011 + 0o133) + '\055' + chr(0b110010 + 0o6)))():
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xf3\xea{'), chr(0b1100100) + '\x65' + chr(0b10110 + 0o115) + '\x6f' + '\x64' + chr(0b1100101))(chr(117) + '\164' + '\146' + '\x2d' + chr(56))] == roI3spqORKae(ES5oEprVxulp(b'0\xde\t\xd0 \xd9\xa9\xe7\xe1l;\x96\x94\x8c\xc2'), '\x64' + '\145' + '\x63' + chr(0b110000 + 0o77) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38'):
fTtqnL4xIshB = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b101111 + 0o1) + chr(0b111110 + 0o61) + chr(2377 - 2328), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'0\xd9\x08\xdey\xc3\xb3\xeb\xeae;\x8d\xd7\x84\xc4\x01\x91\x99\x7fP\xf4\x93'), chr(0b11010 + 0o112) + chr(0b1100101) + '\143' + chr(0b10011 + 0o134) + chr(0b101000 + 0o74) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b11100 + 0o34)), forfile=_R8IKF5IwAfX)
if ftfygxgFas5X(fTtqnL4xIshB) == nzTpIcepk0o8(chr(1363 - 1315) + chr(111) + chr(1543 - 1494), 8):
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xf3\xea{'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1000001 + 0o56) + chr(100) + chr(0b1011011 + 0o12))(chr(0b1001001 + 0o54) + chr(116) + '\146' + chr(45) + chr(56))] = Tv1n_fmB7cly(fTtqnL4xIshB[nzTpIcepk0o8('\x30' + '\x6f' + chr(1675 - 1627), 50508 - 50500)]).CsodZJH6x9Tx
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x15\xcd\x08\xd3b\xde\xfc\xe6\xe4{*\x87\xda\x9e\xcd\x1b\xc5\x96`W\xe4\xca\xc4.\x89\xa5\xac\xa2\xbf\x0c'), chr(0b1100100) + chr(0b1100101) + chr(0b101 + 0o136) + chr(0b1101111) + chr(3416 - 3316) + chr(1229 - 1128))('\x75' + '\x74' + '\146' + chr(0b101101) + '\x38'))
if roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xe8\xeeh6'), '\x64' + chr(0b1100 + 0o131) + '\143' + chr(0b11100 + 0o123) + chr(0b1001001 + 0o33) + '\x65')(chr(0b100000 + 0o125) + '\x74' + chr(4060 - 3958) + '\055' + chr(3093 - 3037)) in roI3spqORKae(GVgFAYMz7Sw8, roI3spqORKae(ES5oEprVxulp(b'=\xc9\x1f\xce'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(5137 - 5020) + '\x74' + chr(102) + '\055' + chr(1886 - 1830)))():
if GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xe8\xeeh6'), chr(0b11001 + 0o113) + chr(0b111101 + 0o50) + chr(6910 - 6811) + chr(0b1000000 + 0o57) + chr(0b1100100) + '\145')(chr(0b1110101) + '\164' + '\146' + chr(0b1000 + 0o45) + chr(0b11010 + 0o36))] == roI3spqORKae(ES5oEprVxulp(b'0\xde\t\xd0 \xd9\xa9\xe7\xe1l;\x96\x94\x8c\xc2'), chr(5526 - 5426) + '\145' + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(117) + chr(116) + chr(102) + '\055' + chr(56)):
fTtqnL4xIshB = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'0\xd9\x08\xdey\xc3\xb3\xeb\xeae;\x8d\xd7\x84\xc4\x01\x91\x99\x7fP\xf4\x93'), '\144' + chr(940 - 839) + chr(5514 - 5415) + '\157' + chr(0b1100000 + 0o4) + chr(0b1011011 + 0o12))('\x75' + '\x74' + chr(0b101110 + 0o70) + chr(0b101011 + 0o2) + '\x38'), forfile=_R8IKF5IwAfX)
if ftfygxgFas5X(fTtqnL4xIshB) == nzTpIcepk0o8(chr(1996 - 1948) + '\157' + chr(0b110001), 8):
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xe8\xeeh6'), chr(0b1100100) + chr(2120 - 2019) + chr(99) + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(0b1 + 0o163) + '\x66' + chr(1252 - 1207) + '\x38')] = Tv1n_fmB7cly(fTtqnL4xIshB[nzTpIcepk0o8(chr(1936 - 1888) + '\157' + '\x30', 8)]).CsodZJH6x9Tx
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x15\xcd\x08\xd3b\xde\xfc\xe6\xe4{*\x87\xda\x9e\xcd\x1b\xc5\x96`W\xe4\xca\xc4.\x89\xa5\xac\xa2\xbf\x0c'), chr(0b100 + 0o140) + chr(101) + chr(0b1000011 + 0o40) + chr(111) + chr(0b1010010 + 0o22) + chr(101))(chr(3558 - 3441) + '\x74' + '\146' + chr(0b101101) + '\070'))
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde'), chr(4296 - 4196) + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(111) + chr(6242 - 6142) + chr(0b1100010 + 0o3))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'/\xc9\x15'), chr(100) + chr(101) + '\x63' + chr(0b1101111) + chr(1678 - 1578) + chr(0b11001 + 0o114))(chr(117) + '\164' + chr(8896 - 8794) + chr(0b11000 + 0o25) + '\070')
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde\x83\xf5\xea}0'), '\x64' + chr(9434 - 9333) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b10110 + 0o117))(chr(4599 - 4482) + '\x74' + '\x66' + chr(0b10011 + 0o32) + '\x38')] = tDZBQJxWlNck + roI3spqORKae(ES5oEprVxulp(b'y\xde\x03\xcdb\xd8\xa8\xaa'), chr(9851 - 9751) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(102) + '\x2d' + '\070')
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde\x83\xe3\xe2e=\x8c\xd8\x87\xc4'), '\144' + '\x65' + chr(0b100100 + 0o77) + chr(111) + chr(7379 - 7279) + chr(268 - 167))(chr(0b1110101) + chr(0b1101111 + 0o5) + '\x66' + '\055' + chr(56))] = VR8aY7ued3Ju + roI3spqORKae(ES5oEprVxulp(b'\t\xc8\x03\xcfd\xdc\xbd\xf1\xe2f6\x90\xdc\x9a\xce\x10\x91\xdeaM\xed\x86'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(8575 - 8475) + chr(101))('\x75' + '\x74' + chr(102) + chr(0b100111 + 0o6) + chr(3104 - 3048))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b',\xff/\xc4c\xfa\xa9\xc0\xfde\t\xd6'), chr(0b1000101 + 0o37) + chr(0b110001 + 0o64) + chr(0b1100011) + chr(0b1000001 + 0o56) + chr(4797 - 4697) + chr(0b111101 + 0o50))('\x75' + chr(0b100 + 0o160) + '\x66' + chr(1570 - 1525) + chr(56)))(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde\x83\xf5\xea}0'), '\x64' + '\x65' + chr(7833 - 7734) + '\157' + chr(100) + chr(0b100001 + 0o104))('\x75' + '\x74' + chr(0b10000 + 0o126) + chr(1962 - 1917) + chr(249 - 193))]):
roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b';\xcd\r\xd8i\xc3\xae\xf6'), chr(0b1001100 + 0o30) + chr(0b101000 + 0o75) + chr(2269 - 2170) + chr(0b101000 + 0o107) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b1100 + 0o54)))(GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde\x83\xf5\xea}0'), '\x64' + chr(101) + chr(8906 - 8807) + chr(0b101110 + 0o101) + chr(100) + '\x65')(chr(0b1110101) + chr(10659 - 10543) + '\146' + chr(0b1010 + 0o43) + chr(0b0 + 0o70))])
if roI3spqORKae(ES5oEprVxulp(b'2\xc5\x0b\xd2\x7f\xce'), chr(0b111001 + 0o53) + '\x65' + chr(0b1100011) + '\x6f' + '\144' + '\145')('\165' + chr(8134 - 8018) + chr(102) + chr(45) + '\070') not in GVgFAYMz7Sw8:
GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'2\xc5\x0b\xd2\x7f\xce'), chr(0b1100100) + chr(5845 - 5744) + chr(0b1100011) + chr(0b101011 + 0o104) + '\x64' + '\145')('\165' + chr(12487 - 12371) + '\x66' + chr(45) + '\070')] = roI3spqORKae(ES5oEprVxulp(b'"\xc5\x0b\xd8!\xc4\xb3\xe1\xee'), chr(0b1100100) + chr(6117 - 6016) + chr(6607 - 6508) + chr(0b100011 + 0o114) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000))
_LEDd0zbNJfs = mfNgQb_vYBmS.timeseries.derive_temporalnetwork(FfKOThdpoDTb.CsodZJH6x9Tx, GVgFAYMz7Sw8)
hTT18l3mgJnY = uPwqW7cqOnfp(from_array=_LEDd0zbNJfs, nettype=roI3spqORKae(ES5oEprVxulp(b'!\xd9'), chr(0b1001010 + 0o32) + chr(0b111100 + 0o51) + chr(5478 - 5379) + chr(0b1101111) + chr(100) + chr(0b1 + 0o144))('\x75' + chr(1150 - 1034) + chr(0b1100000 + 0o6) + chr(0b10001 + 0o34) + '\x38'))
roI3spqORKae(hTT18l3mgJnY.network, roI3spqORKae(ES5oEprVxulp(b'"\xc39\xde~\xdc'), chr(0b1100100) + chr(9553 - 9452) + '\x63' + '\157' + '\x64' + chr(101))(chr(0b11111 + 0o126) + '\164' + chr(0b1100110) + chr(304 - 259) + chr(0b111000)))(tDZBQJxWlNck + VR8aY7ued3Ju + roI3spqORKae(ES5oEprVxulp(b'x\xd8\x15\xcb'), chr(0b1011001 + 0o13) + '\145' + chr(493 - 394) + '\x6f' + chr(6432 - 6332) + chr(0b1000010 + 0o43))('\x75' + chr(0b1110100) + chr(102) + chr(1603 - 1558) + chr(56)), sep=roI3spqORKae(ES5oEprVxulp(b'_'), '\144' + chr(101) + '\x63' + chr(0b111010 + 0o65) + chr(100) + '\x65')('\x75' + chr(0b1000000 + 0o64) + chr(0b10001 + 0o125) + '\055' + chr(56)))
lnb5q1rSO8Sz = TF0IQUrPKP4z(_R8IKF5IwAfX)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(100) + chr(0b1100101) + chr(0b101001 + 0o72) + chr(8900 - 8789) + '\x64' + chr(0b11010 + 0o113))('\165' + chr(0b1000 + 0o154) + chr(0b1000 + 0o136) + chr(1622 - 1577) + '\070')] = GVgFAYMz7Sw8
if roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xf3\xea{'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(7739 - 7639) + chr(0b101001 + 0o74))('\165' + chr(547 - 431) + chr(102) + '\x2d' + '\x38') in lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(4664 - 4564) + '\x65' + chr(6995 - 6896) + chr(8403 - 8292) + '\x64' + chr(0b101101 + 0o70))(chr(0b1101000 + 0o15) + chr(0b101110 + 0o106) + chr(0b100000 + 0o106) + '\x2d' + chr(2136 - 2080))]:
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), '\x64' + chr(1676 - 1575) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(0b10100 + 0o141) + '\x74' + chr(226 - 124) + chr(0b101101) + '\070')][roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xf3\xea{'), '\144' + chr(3066 - 2965) + chr(8643 - 8544) + chr(0b1101111) + chr(0b110010 + 0o62) + chr(1913 - 1812))(chr(11152 - 11035) + chr(116) + chr(2422 - 2320) + chr(0b101101) + chr(56))] = nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(7370 - 7259) + chr(0b110 + 0o53), 8)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(0b1001010 + 0o32) + '\145' + chr(0b11010 + 0o111) + '\157' + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(0b110110 + 0o60) + chr(0b10 + 0o53) + chr(655 - 599))][roI3spqORKae(ES5oEprVxulp(b'0\xcfF\xceb\xdf\xae\xe6\xee'), chr(100) + chr(0b111100 + 0o51) + '\x63' + chr(4108 - 3997) + chr(100) + '\x65')('\165' + chr(116) + chr(102) + '\x2d' + chr(0b111000 + 0o0))] = fTtqnL4xIshB
if roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xe8\xeeh6'), chr(5846 - 5746) + chr(0b100111 + 0o76) + chr(5179 - 5080) + chr(0b1010101 + 0o32) + chr(100) + '\145')(chr(117) + chr(116) + chr(0b101101 + 0o71) + chr(1344 - 1299) + chr(0b101011 + 0o15)) in lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), '\x64' + chr(8101 - 8000) + chr(2841 - 2742) + chr(0b1101111) + chr(805 - 705) + chr(0b111111 + 0o46))(chr(4624 - 4507) + chr(3750 - 3634) + chr(102) + '\x2d' + '\x38')]:
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(0b1000101 + 0o37) + chr(101) + chr(0b1100011) + chr(1036 - 925) + chr(0b1100100) + chr(1826 - 1725))(chr(117) + chr(12112 - 11996) + '\146' + chr(0b101101) + chr(0b100011 + 0o25))][roI3spqORKae(ES5oEprVxulp(b'!\xc9\x0f\xdae\xde\xf1\xe8\xeeh6'), chr(0b1100100) + chr(7790 - 7689) + chr(6852 - 6753) + chr(0b1101010 + 0o5) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(11442 - 11326) + chr(102) + chr(0b101101) + '\x38')] = nzTpIcepk0o8('\x30' + '\157' + '\x31', 8)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), '\144' + '\x65' + '\x63' + '\157' + chr(100) + chr(0b10010 + 0o123))(chr(0b1110101) + chr(0b11 + 0o161) + '\x66' + chr(0b111 + 0o46) + chr(2056 - 2000))][roI3spqORKae(ES5oEprVxulp(b'0\xcfF\xceb\xdf\xae\xe6\xee'), '\144' + '\x65' + chr(0b1000101 + 0o36) + chr(111) + chr(0b1000101 + 0o37) + '\x65')('\165' + chr(9525 - 9409) + chr(102) + '\055' + '\x38')] = fTtqnL4xIshB
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(1268 - 1168) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + chr(0b1000110 + 0o37))(chr(0b1110010 + 0o3) + '\164' + '\146' + chr(1520 - 1475) + chr(0b100 + 0o64))][roI3spqORKae(ES5oEprVxulp(b'?\xc2\x16\xc8y\xcc\xb5\xe9\xee'), '\x64' + chr(0b1100101) + chr(6566 - 6467) + '\157' + chr(0b0 + 0o144) + chr(0b1100101))('\165' + chr(11837 - 11721) + chr(1686 - 1584) + '\x2d' + chr(0b111000))] = _R8IKF5IwAfX
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'"\xda\x05'), chr(100) + chr(5323 - 5222) + chr(99) + '\x6f' + '\x64' + '\145')('\x75' + chr(116) + chr(3806 - 3704) + chr(0b101101) + chr(1346 - 1290))][roI3spqORKae(ES5oEprVxulp(b'2\xc9\x15\xde\x7f\xc3\xac\xf1\xe2f6'), '\x64' + chr(101) + '\143' + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b100010 + 0o122) + '\146' + '\x2d' + chr(0b10011 + 0o45))] = roI3spqORKae(ES5oEprVxulp(b'\x02\xc5\x0b\xd8-\xdc\xbd\xf7\xf2`6\x85\x99\x89\xce\x0c\x8b\x95jM\xe9\x9c\xeb\x19\xd0\xe3\xac\xa0\xbc\x10\xa7\x002\xd4?\xebt\x8f'), '\144' + chr(101) + chr(0b1 + 0o142) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(5098 - 4982) + chr(102) + chr(0b101101) + '\070')
with DnU3Rq9N5ala(tDZBQJxWlNck + VR8aY7ued3Ju + roI3spqORKae(ES5oEprVxulp(b'x\xc6\x15\xd2c'), '\x64' + chr(9887 - 9786) + '\143' + '\157' + '\x64' + chr(4764 - 4663))(chr(0b1110101) + chr(1043 - 927) + chr(102) + '\055' + '\x38'), roI3spqORKae(ES5oEprVxulp(b'!'), chr(0b1100100) + '\x65' + chr(0b100011 + 0o100) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + '\070')) as ANVmZzFk_RHC:
roI3spqORKae(LNUKEwZDIbyb, roI3spqORKae(ES5oEprVxulp(b'2\xd9\x0b\xcd'), '\x64' + '\x65' + chr(0b1100011) + chr(5733 - 5622) + '\144' + chr(0b110101 + 0o60))(chr(117) + chr(8042 - 7926) + '\x66' + chr(0b11010 + 0o23) + chr(0b110 + 0o62)))(lnb5q1rSO8Sz, ANVmZzFk_RHC)
if wQLP3l_xAIR2:
ai5sg7ulQowg = roI3spqORKae(ES5oEprVxulp(b'"\xda\x05\x90i\xcf\xae\xec\xfdl'), chr(0b1100100) + chr(0b111111 + 0o46) + chr(99) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(6966 - 6849) + chr(515 - 399) + chr(4567 - 4465) + '\x2d' + chr(3068 - 3012))
jpOn8DNZxbbx = HLKt4sa1j9hm.read_csv(WY6lh1o4QBLb[ZlbFMSG8gCoF], sep=roI3spqORKae(ES5oEprVxulp(b'_'), chr(9247 - 9147) + '\x65' + chr(0b101 + 0o136) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b100100 + 0o120) + chr(0b1011 + 0o133) + chr(0b1001 + 0o44) + chr(0b111000)))
jpOn8DNZxbbx = jpOn8DNZxbbx.fillna(jpOn8DNZxbbx.FvpUlOwKdj9t())
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(_LEDd0zbNJfs.lhbM092AFW8f[nzTpIcepk0o8('\060' + '\x6f' + chr(1963 - 1915), 8)], k=nzTpIcepk0o8(chr(1855 - 1807) + chr(111) + chr(403 - 354), 8))
yrsWzD2D2eD8 = HLKt4sa1j9hm.DataFrame(_LEDd0zbNJfs[w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(528 - 480), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(1141 - 1093) + '\157' + '\061', 8)], :].transpose())
if ftfygxgFas5X(jpOn8DNZxbbx) != ftfygxgFas5X(yrsWzD2D2eD8):
jpOn8DNZxbbx = jpOn8DNZxbbx.mj4jMnYn3A2l[nzTpIcepk0o8(nDF4gVNx0u9Q.round((GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc5\x08\xd9b\xdd\xaf\xec\xf1l'), chr(100) + chr(0b1100101) + chr(0b1010101 + 0o16) + chr(111) + chr(0b1000000 + 0o44) + chr(101))(chr(0b111111 + 0o66) + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000))] - nzTpIcepk0o8(chr(48) + chr(0b1101001 + 0o6) + '\x31', 8)) / nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b100111 + 0o13), 0b1000))):nzTpIcepk0o8(nDF4gVNx0u9Q.round((GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'!\xc5\x08\xd9b\xdd\xaf\xec\xf1l'), chr(5761 - 5661) + '\145' + chr(0b1101 + 0o126) + chr(3058 - 2947) + '\x64' + chr(2913 - 2812))('\x75' + chr(116) + chr(102) + chr(0b10010 + 0o33) + '\x38')] - nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001), 8)) / nzTpIcepk0o8('\x30' + '\x6f' + '\062', 8)) + ftfygxgFas5X(yrsWzD2D2eD8))]
roI3spqORKae(jpOn8DNZxbbx, roI3spqORKae(ES5oEprVxulp(b'$\xc9\x15\xd8y\xf5\xb5\xeb\xefl '), chr(2812 - 2712) + chr(0b1100101) + chr(0b1011111 + 0o4) + '\x6f' + '\x64' + chr(101))('\165' + '\164' + chr(0b1010101 + 0o21) + chr(45) + chr(668 - 612)))(inplace=nzTpIcepk0o8(chr(0b110000) + chr(0b111101 + 0o62) + chr(0b101001 + 0o10), 8), drop=nzTpIcepk0o8(chr(1651 - 1603) + '\157' + chr(49), 8))
maSMi1TsCssj = yrsWzD2D2eD8 - yrsWzD2D2eD8.JE1frtxECu3x()
D5xxQIY7_GnL = jpOn8DNZxbbx - jpOn8DNZxbbx.JE1frtxECu3x()
BOLg3Ysz8pkm = maSMi1TsCssj.T.dot(D5xxQIY7_GnL).div(ftfygxgFas5X(yrsWzD2D2eD8)).div(D5xxQIY7_GnL.std(ddof=nzTpIcepk0o8('\060' + '\157' + chr(48), 8))).div(maSMi1TsCssj.AFfTx5xLlh3B(ddof=nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110000), 8)), axis=nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x30', 8))
GkqB1VMclGNJ = BOLg3Ysz8pkm.describe()
rYo1jCHCpRNi = GkqB1VMclGNJ.ZpfN5tSLaZze
TwFspCgGViyB = GVgFAYMz7Sw8[roI3spqORKae(ES5oEprVxulp(b'$\xc9\x16\xd2\x7f\xde\x83\xf5\xea}0'), '\144' + chr(0b1100 + 0o131) + chr(0b1100011) + chr(0b1010011 + 0o34) + chr(0b1100100) + chr(101))('\165' + '\x74' + chr(102) + chr(0b100010 + 0o13) + chr(0b111000))] + roI3spqORKae(ES5oEprVxulp(b'y'), chr(3796 - 3696) + '\x65' + chr(99) + chr(2589 - 2478) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(782 - 680) + chr(0b100110 + 0o7) + chr(2478 - 2422)) + VR8aY7ued3Ju + roI3spqORKae(ES5oEprVxulp(b'\t\xcf\t\xd3k\xc5\xa9\xeb\xefj7\x90\xcb\xc5'), chr(100) + chr(0b1100101) + chr(0b1100010 + 0o1) + chr(0b101000 + 0o107) + chr(100) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38')
zLl2NNMcOmcH = TwFspCgGViyB + roI3spqORKae(ES5oEprVxulp(b'0\xc5\x01\xc8\x7f\xcf\xaf\xaa'), chr(0b1100100) + chr(0b10010 + 0o123) + chr(5955 - 5856) + '\x6f' + chr(100) + chr(2007 - 1906))(chr(12789 - 12672) + chr(0b100 + 0o160) + chr(1131 - 1029) + chr(0b101101) + chr(56))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b',\xff/\xc4c\xfa\xa9\xc0\xfde\t\xd6'), '\x64' + '\145' + chr(99) + chr(111) + '\x64' + chr(0b1011111 + 0o6))('\x75' + '\164' + chr(0b1101 + 0o131) + chr(45) + chr(0b111000)))(zLl2NNMcOmcH):
roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b';\xcd\r\xd8i\xc3\xae\xf6'), '\x64' + '\x65' + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))('\165' + chr(0b1010001 + 0o43) + chr(0b1000 + 0o136) + chr(312 - 267) + chr(2758 - 2702)))(zLl2NNMcOmcH)
v850snntN8PO = roI3spqORKae(ES5oEprVxulp(b'j\xc4\x12\xd0a\x94\xe0\xe7\xe4m!\xdc'), chr(2987 - 2887) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(1896 - 1851) + '\070')
v850snntN8PO += roI3spqORKae(ES5oEprVxulp(b'j\xc4W\x83-\xe9\xb3\xf7\xf9l4\x83\xcd\x83\xce\x0c\xc5\x9fo\x19'), chr(0b110100 + 0o60) + chr(101) + chr(8235 - 8136) + chr(111) + '\x64' + '\145')('\x75' + chr(0b101110 + 0o106) + chr(1752 - 1650) + chr(45) + '\x38') + ai5sg7ulQowg + roI3spqORKae(ES5oEprVxulp(b'v\xcd\x08\xd9-\xc9\xb3\xeb\xedf-\x8c\xdd\x99\x8f^\xca\x988\x07'), chr(100) + '\145' + chr(0b1011011 + 0o10) + '\x6f' + '\x64' + '\x65')(chr(6547 - 6430) + '\x74' + '\x66' + '\x2d' + chr(2763 - 2707))
for teUmM7cKWZUa in roI3spqORKae(BOLg3Ysz8pkm, roI3spqORKae(ES5oEprVxulp(b'\x03\x9f_\xd7^\xc3\x95\xb0\xbfD4\x92'), '\x64' + '\145' + '\143' + '\157' + chr(0b1 + 0o143) + chr(0b11011 + 0o112))('\x75' + chr(7802 - 7686) + chr(0b1011001 + 0o15) + chr(385 - 340) + '\070')):
(ux0XlXMUdKbX, ZtB7KOLCW2Hk) = Z7HGgmIyegqz.subplots(nzTpIcepk0o8('\060' + chr(0b1001000 + 0o47) + '\061', 8))
ZtB7KOLCW2Hk = JuLVGZWgvn4O.distplot(BOLg3Ysz8pkm[teUmM7cKWZUa], hist=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000), 8), color=roI3spqORKae(ES5oEprVxulp(b';'), '\144' + chr(3257 - 3156) + chr(0b1000100 + 0o37) + chr(0b10 + 0o155) + '\144' + '\x65')(chr(0b1110101) + '\x74' + chr(0b1100110) + '\055' + chr(205 - 149)), ax=ZtB7KOLCW2Hk, kde_kws={roI3spqORKae(ES5oEprVxulp(b'%\xc4\x07\xd9h'), '\144' + chr(888 - 787) + chr(6881 - 6782) + '\157' + chr(5994 - 5894) + '\145')(chr(4266 - 4149) + chr(0b10011 + 0o141) + chr(0b10 + 0o144) + '\x2d' + chr(0b111000)): nzTpIcepk0o8(chr(336 - 288) + chr(0b10000 + 0o137) + chr(0b101111 + 0o2), 8)})
roI3spqORKae(ux0XlXMUdKbX, roI3spqORKae(ES5oEprVxulp(b'%\xcd\x10\xd8k\xc3\xbb'), chr(2023 - 1923) + chr(101) + chr(0b1011111 + 0o4) + chr(3403 - 3292) + chr(0b111000 + 0o54) + chr(0b110010 + 0o63))(chr(0b101001 + 0o114) + '\x74' + '\x66' + '\055' + chr(56)))(zLl2NNMcOmcH + teUmM7cKWZUa + roI3spqORKae(ES5oEprVxulp(b'x\xdc\x08\xda'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(5082 - 4982) + '\x65')(chr(0b100011 + 0o122) + chr(0b11011 + 0o131) + chr(0b1100110) + chr(0b11101 + 0o20) + chr(3017 - 2961)))
roI3spqORKae(Z7HGgmIyegqz, roI3spqORKae(ES5oEprVxulp(b'\x0c\xc9\x17\x8aN\xc9\xba\xbc\xdem`\x88'), chr(0b1100100) + '\145' + chr(99) + '\157' + chr(5110 - 5010) + chr(0b1100101))(chr(117) + '\x74' + chr(3603 - 3501) + chr(45) + '\x38'))(ux0XlXMUdKbX)
v850snntN8PO += roI3spqORKae(ES5oEprVxulp(b'j\xc4T\x83'), chr(100) + chr(10149 - 10048) + chr(0b1100011) + chr(12112 - 12001) + chr(0b101110 + 0o66) + '\145')(chr(887 - 770) + chr(7529 - 7413) + '\146' + chr(1654 - 1609) + chr(56)) + teUmM7cKWZUa + roI3spqORKae(ES5oEprVxulp(b'j\x83\x0e\x8f3'), chr(0b101000 + 0o74) + chr(0b100 + 0o141) + '\143' + chr(0b100111 + 0o110) + chr(0b1001 + 0o133) + chr(0b1100101))(chr(7325 - 7208) + '\164' + chr(102) + chr(0b101001 + 0o4) + chr(0b1111 + 0o51))
for (gHHXKvgG1XFo, LCrwg7lcbmU9) in _kV_Bomx8PZ4(GkqB1VMclGNJ[teUmM7cKWZUa]):
v850snntN8PO += N9zlRy29S1SS(rYo1jCHCpRNi[gHHXKvgG1XFo]) + roI3spqORKae(ES5oEprVxulp(b'l\x8c'), '\144' + '\145' + chr(0b11111 + 0o104) + chr(8394 - 8283) + '\144' + '\x65')(chr(6180 - 6063) + chr(4608 - 4492) + chr(0b1100110) + chr(0b101101) + chr(56))
v850snntN8PO += N9zlRy29S1SS(LCrwg7lcbmU9) + roI3spqORKae(ES5oEprVxulp(b'j\xce\x14\x83'), chr(100) + '\145' + chr(6895 - 6796) + chr(111) + chr(0b1100100) + '\x65')('\x75' + chr(0b111 + 0o155) + chr(0b1100110) + chr(0b101101) + chr(56))
v850snntN8PO += roI3spqORKae(ES5oEprVxulp(b'\x12\xc5\x15\xc9\x7f\xc3\xbe\xf0\xff`7\x8c\x99\x85\xc7B\x86\x9f{K\xec\x8b\xf6\x04\xc6\xad\xe5\xb8\xbb\x13\xa0\x08 \x9a'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(4831 - 4731) + chr(0b110011 + 0o62))(chr(0b1110101) + chr(0b1100000 + 0o24) + chr(0b111010 + 0o54) + chr(1379 - 1334) + '\070')
v850snntN8PO += roI3spqORKae(ES5oEprVxulp(b'j\xc5\x0b\xda-\xd9\xae\xe6\xb6'), chr(100) + chr(101) + '\x63' + chr(0b1001010 + 0o45) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b1100100 + 0o2) + chr(0b100010 + 0o13) + chr(56)) + aHUqKstZLeS6.path.abspath(zLl2NNMcOmcH) + roI3spqORKae(ES5oEprVxulp(b'y'), chr(0b101101 + 0o67) + chr(8257 - 8156) + chr(0b101001 + 0o72) + chr(6436 - 6325) + '\144' + chr(3884 - 3783))(chr(3546 - 3429) + chr(9743 - 9627) + '\x66' + '\055' + chr(0b101110 + 0o12)) + teUmM7cKWZUa + roI3spqORKae(ES5oEprVxulp(b'x\xdc\x08\xda3\x96\xbe\xf7\xb55:\x90\x87'), '\144' + '\145' + chr(0b101011 + 0o70) + chr(11624 - 11513) + '\x64' + '\x65')('\x75' + chr(0b1110100) + '\146' + '\x2d' + chr(0b111000))
v850snntN8PO += roI3spqORKae(ES5oEprVxulp(b'j\x83\x04\xd2i\xd3\xe2\xb9\xa4a,\x8f\xd5\xd4'), chr(4393 - 4293) + chr(0b1011100 + 0o11) + '\143' + chr(0b1101111) + '\144' + '\x65')('\x75' + '\x74' + chr(102) + chr(45) + chr(1436 - 1380))
with DnU3Rq9N5ala(TwFspCgGViyB + VR8aY7ued3Ju + roI3spqORKae(ES5oEprVxulp(b'\t\xcf\t\xd3k\xc5\xa9\xeb\xefj7\x90\xcb\xc4\xc9\x16\x88\x9c'), '\144' + '\145' + '\143' + chr(0b1011100 + 0o23) + chr(100) + chr(0b1100011 + 0o2))(chr(0b110010 + 0o103) + chr(0b1110100) + chr(0b101 + 0o141) + chr(0b11100 + 0o21) + '\070'), roI3spqORKae(ES5oEprVxulp(b'!'), '\144' + chr(247 - 146) + chr(0b111110 + 0o45) + chr(0b1101111) + chr(2336 - 2236) + chr(0b1100101))(chr(0b1000101 + 0o60) + '\164' + chr(0b1000110 + 0o40) + chr(0b101001 + 0o4) + chr(56))) as GtsVUCYulgYX:
roI3spqORKae(GtsVUCYulgYX, roI3spqORKae(ES5oEprVxulp(b';\xc0V\xd5e\xda\xaa\xb4\xc7y)\xd0'), chr(0b1001001 + 0o33) + chr(0b11011 + 0o112) + chr(1190 - 1091) + chr(0b100001 + 0o116) + chr(100) + '\x65')(chr(0b1110101) + chr(7398 - 7282) + '\146' + chr(0b10000 + 0o35) + chr(0b110111 + 0o1)))(v850snntN8PO) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.make_functional_connectivity | def make_functional_connectivity(self, njobs=None, returngroup=False, file_hdr=None, file_idx=None):
"""
Makes connectivity matrix for each of the subjects.
Parameters
----------
returngroup : bool, default=False
If true, returns the group average connectivity matrix.
njobs : int
How many parallel jobs to run
file_idx : bool
Default False, true if to ignore index column in loaded file.
file_hdr : bool
Default False, true if to ignore header row in loaded file.
Returns
-------
Saves data in derivatives/teneto_<version>/.../fc/
R_group : array
if returngroup is true, the average connectivity matrix is returned.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
files = self.get_selected_files(quiet=1)
R_group = []
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_make_functional_connectivity, f, file_hdr, file_idx) for f in files}
for j in as_completed(job):
R_group.append(j.result())
if returngroup:
# Fisher tranform -> mean -> inverse fisher tranform
R_group = np.tanh(np.mean(np.arctanh(np.array(R_group)), axis=0))
return np.array(R_group) | python | def make_functional_connectivity(self, njobs=None, returngroup=False, file_hdr=None, file_idx=None):
"""
Makes connectivity matrix for each of the subjects.
Parameters
----------
returngroup : bool, default=False
If true, returns the group average connectivity matrix.
njobs : int
How many parallel jobs to run
file_idx : bool
Default False, true if to ignore index column in loaded file.
file_hdr : bool
Default False, true if to ignore header row in loaded file.
Returns
-------
Saves data in derivatives/teneto_<version>/.../fc/
R_group : array
if returngroup is true, the average connectivity matrix is returned.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
files = self.get_selected_files(quiet=1)
R_group = []
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_make_functional_connectivity, f, file_hdr, file_idx) for f in files}
for j in as_completed(job):
R_group.append(j.result())
if returngroup:
# Fisher tranform -> mean -> inverse fisher tranform
R_group = np.tanh(np.mean(np.arctanh(np.array(R_group)), axis=0))
return np.array(R_group) | [
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Parameters
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If true, returns the group average connectivity matrix.
njobs : int
How many parallel jobs to run
file_idx : bool
Default False, true if to ignore index column in loaded file.
file_hdr : bool
Default False, true if to ignore header row in loaded file.
Returns
-------
Saves data in derivatives/teneto_<version>/.../fc/
R_group : array
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L360-L398 | train | Makes connectivity matrix for each of the subjects. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + chr(0b1011111 + 0o20) + chr(0b101 + 0o56), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1010011 + 0o34) + '\064' + '\x33', 0o10), nzTpIcepk0o8('\x30' + chr(0b101 + 0o152) + chr(0b100100 + 0o20), 0o10), nzTpIcepk0o8('\x30' + chr(3266 - 3155) + '\x32' + '\062' + '\065', 0b1000), nzTpIcepk0o8(chr(1278 - 1230) + chr(0b1101111) + chr(55) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x32' + chr(1784 - 1736), 11493 - 11485), nzTpIcepk0o8('\x30' + chr(0b110000 + 0o77) + chr(0b110001) + chr(1861 - 1812) + chr(52), 0o10), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(11616 - 11505) + chr(0b110011) + chr(682 - 632), 6246 - 6238), nzTpIcepk0o8('\060' + chr(12287 - 12176) + chr(0b110001) + '\065' + chr(49), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\063' + '\060' + '\x34', 46756 - 46748), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b1010 + 0o55) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(1735 - 1687) + chr(0b1101001 + 0o6) + chr(49) + '\x31' + chr(55), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(0b110011) + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b101011 + 0o5) + '\x6f' + chr(0b110001) + chr(0b110110) + chr(2316 - 2263), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010) + chr(50) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\x32' + chr(0b100000 + 0o22) + chr(0b11000 + 0o31), ord("\x08")), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + chr(1841 - 1791) + chr(1520 - 1466) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x31' + '\x34' + chr(52), ord("\x08")), nzTpIcepk0o8('\x30' + chr(3387 - 3276) + chr(0b110001) + '\067' + '\x33', 0b1000), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1010100 + 0o33) + chr(50) + '\067' + chr(51), ord("\x08")), nzTpIcepk0o8(chr(364 - 316) + chr(111) + chr(0b101110 + 0o3) + '\066' + chr(0b110100), ord("\x08")), nzTpIcepk0o8('\x30' + chr(4363 - 4252) + chr(0b101010 + 0o10) + '\x33' + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(0b1101111) + chr(51) + chr(0b110101 + 0o1) + '\060', 55353 - 55345), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(972 - 922) + '\060' + chr(2350 - 2296), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b10011 + 0o134) + chr(0b110010) + chr(0b110100 + 0o2) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x33' + '\065' + chr(0b110 + 0o61), ord("\x08")), nzTpIcepk0o8(chr(1074 - 1026) + chr(0b1101111) + '\066' + '\060', 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + chr(48) + '\067', 0o10), nzTpIcepk0o8(chr(362 - 314) + '\157' + '\x31' + '\x36', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + chr(0b101001 + 0o15) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(5454 - 5343) + chr(50) + '\067', 0o10), nzTpIcepk0o8('\060' + chr(7179 - 7068) + chr(1412 - 1362) + '\062' + chr(2396 - 2345), 18798 - 18790), nzTpIcepk0o8('\x30' + chr(9343 - 9232) + chr(49) + '\061' + chr(0b100001 + 0o20), 42042 - 42034), nzTpIcepk0o8('\x30' + '\x6f' + '\065' + chr(53), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b10111 + 0o34), 8), nzTpIcepk0o8(chr(1439 - 1391) + '\157' + chr(1337 - 1288) + chr(1295 - 1242) + chr(53), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(51) + '\063' + chr(55), 4409 - 4401), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(52) + chr(0b11101 + 0o25), 0o10), nzTpIcepk0o8('\x30' + chr(7139 - 7028) + '\061' + chr(0b110101) + chr(53), 8), nzTpIcepk0o8('\x30' + '\157' + chr(2075 - 2024) + chr(50), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + '\x6f' + '\065' + chr(0b110000), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'-'), chr(0b10101 + 0o117) + '\145' + chr(0b1100011) + chr(0b111011 + 0o64) + chr(0b101001 + 0o73) + chr(1643 - 1542))('\x75' + chr(10309 - 10193) + chr(0b10001 + 0o125) + chr(45) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def APsrpZbL9gz_(hXMPsSrOQzbh, em5eAK7ynp6O=None, TPpgKwFdmgzx=nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(4215 - 4104) + chr(0b110000), 60234 - 60226), Z6MHbisDoBdx=None, JoGLjx5sD9yO=None):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'bG`\xcaUy?n\x06\xb6C'), chr(314 - 214) + chr(0b110010 + 0o63) + chr(0b11111 + 0o104) + chr(4292 - 4181) + chr(4316 - 4216) + '\145')(chr(117) + '\x74' + chr(102) + '\055' + chr(0b111000)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'DNN\xccDj\x14{8\x85@\x0c'), chr(0b1100100) + chr(2294 - 2193) + chr(99) + chr(0b10000 + 0o137) + chr(3426 - 3326) + '\x65')(chr(0b1000001 + 0o64) + chr(0b1110100) + '\146' + '\055' + '\070'))()[nzTpIcepk0o8('\x30' + chr(8695 - 8584) + chr(0b110000), 8)][nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001 + 0o2), 8)], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(1431 - 1383) + '\157' + '\x31', ord("\x08")))
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31', 8))
HSmdypDgHnv9 = []
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._run_make_functional_connectivity, _R8IKF5IwAfX, Z6MHbisDoBdx, JoGLjx5sD9yO) for _R8IKF5IwAfX in wR5_YWECjaY7}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(HSmdypDgHnv9, roI3spqORKae(ES5oEprVxulp(b'KwW\xa1Ew\x0bu\x03\xaboz'), chr(100) + chr(0b110010 + 0o63) + '\143' + chr(9104 - 8993) + '\144' + chr(101))(chr(0b1101100 + 0o11) + chr(0b110100 + 0o100) + '\x66' + chr(705 - 660) + chr(0b1111 + 0o51)))(roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'Sl|\xac\x08}{I9\x8bl6'), chr(100) + chr(101) + chr(0b1100011) + chr(0b101 + 0o152) + chr(100) + chr(101))(chr(117) + chr(0b10 + 0o162) + chr(0b1100110 + 0o0) + chr(0b101101) + '\070'))())
if TPpgKwFdmgzx:
HSmdypDgHnv9 = nDF4gVNx0u9Q.tanh(nDF4gVNx0u9Q.JE1frtxECu3x(nDF4gVNx0u9Q.arctanh(nDF4gVNx0u9Q.Tn6rGr7XTM7t(HSmdypDgHnv9)), axis=nzTpIcepk0o8('\060' + '\x6f' + chr(0b10101 + 0o33), 8)))
return roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'WM2\xe7zb{B=\x89\r;'), chr(0b1100100) + chr(0b1100101) + chr(0b100010 + 0o101) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(3394 - 3292) + chr(0b101101) + chr(0b100011 + 0o25)))(HSmdypDgHnv9) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS._save_namepaths_bids_derivatives | def _save_namepaths_bids_derivatives(self, f, tag, save_directory, suffix=None):
"""
Creates output directory and output name
Paramters
---------
f : str
input files, includes the file bids_suffix
tag : str
what should be added to f in the output file.
save_directory : str
additional directory that the output file should go in
suffix : str
add new suffix to data
Returns
-------
save_name : str
previous filename with new tag
save_dir : str
directory where it will be saved
base_dir : str
subjective base directory (i.e. derivatives/teneto/func[/anythingelse/])
"""
file_name = f.split('/')[-1].split('.')[0]
if tag != '':
tag = '_' + tag
if suffix:
file_name, _ = drop_bids_suffix(file_name)
save_name = file_name + tag
save_name += '_' + suffix
else:
save_name = file_name + tag
paths_post_pipeline = f.split(self.pipeline)
if self.pipeline_subdir:
paths_post_pipeline = paths_post_pipeline[1].split(self.pipeline_subdir)[
0]
else:
paths_post_pipeline = paths_post_pipeline[1].split(file_name)[0]
base_dir = self.BIDS_dir + '/derivatives/' + 'teneto_' + \
teneto.__version__ + '/' + paths_post_pipeline + '/'
save_dir = base_dir + '/' + save_directory + '/'
if not os.path.exists(save_dir):
# A case has happened where this has been done in parallel and an error was raised. So do try/except
try:
os.makedirs(save_dir)
except:
# Wait 2 seconds so that the error does not try and save something in the directory before it is created
time.sleep(2)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/dataset_description.json'):
try:
with open(self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/dataset_description.json', 'w') as fs:
json.dump(self.tenetoinfo, fs)
except:
# Same as above, just in case parallel does duplicaiton
time.sleep(2)
return save_name, save_dir, base_dir | python | def _save_namepaths_bids_derivatives(self, f, tag, save_directory, suffix=None):
"""
Creates output directory and output name
Paramters
---------
f : str
input files, includes the file bids_suffix
tag : str
what should be added to f in the output file.
save_directory : str
additional directory that the output file should go in
suffix : str
add new suffix to data
Returns
-------
save_name : str
previous filename with new tag
save_dir : str
directory where it will be saved
base_dir : str
subjective base directory (i.e. derivatives/teneto/func[/anythingelse/])
"""
file_name = f.split('/')[-1].split('.')[0]
if tag != '':
tag = '_' + tag
if suffix:
file_name, _ = drop_bids_suffix(file_name)
save_name = file_name + tag
save_name += '_' + suffix
else:
save_name = file_name + tag
paths_post_pipeline = f.split(self.pipeline)
if self.pipeline_subdir:
paths_post_pipeline = paths_post_pipeline[1].split(self.pipeline_subdir)[
0]
else:
paths_post_pipeline = paths_post_pipeline[1].split(file_name)[0]
base_dir = self.BIDS_dir + '/derivatives/' + 'teneto_' + \
teneto.__version__ + '/' + paths_post_pipeline + '/'
save_dir = base_dir + '/' + save_directory + '/'
if not os.path.exists(save_dir):
# A case has happened where this has been done in parallel and an error was raised. So do try/except
try:
os.makedirs(save_dir)
except:
# Wait 2 seconds so that the error does not try and save something in the directory before it is created
time.sleep(2)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/dataset_description.json'):
try:
with open(self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/dataset_description.json', 'w') as fs:
json.dump(self.tenetoinfo, fs)
except:
# Same as above, just in case parallel does duplicaiton
time.sleep(2)
return save_name, save_dir, base_dir | [
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Paramters
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f : str
input files, includes the file bids_suffix
tag : str
what should be added to f in the output file.
save_directory : str
additional directory that the output file should go in
suffix : str
add new suffix to data
Returns
-------
save_name : str
previous filename with new tag
save_dir : str
directory where it will be saved
base_dir : str
subjective base directory (i.e. derivatives/teneto/func[/anythingelse/]) | [
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"output",
"name"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L409-L466 | train | Save the namepaths of the BIDS derivatives for a specific tag. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + '\157' + chr(0b110011) + chr(55) + chr(2742 - 2689), 0o10), nzTpIcepk0o8(chr(485 - 437) + chr(0b1010101 + 0o32) + chr(1592 - 1542), 0o10), nzTpIcepk0o8('\060' + chr(8475 - 8364) + chr(49) + chr(0b11101 + 0o25) + '\x30', 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(2005 - 1951) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(0b101111 + 0o1) + chr(793 - 740), 24024 - 24016), nzTpIcepk0o8('\060' + chr(0b1100101 + 0o12) + chr(0b110001) + chr(0b110010) + chr(1182 - 1128), 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + '\x6f' + chr(0b110100) + '\x37', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101110 + 0o1) + '\061' + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b11110 + 0o22) + '\157' + '\x31' + chr(0b110010) + chr(0b101101 + 0o4), 0b1000), nzTpIcepk0o8(chr(2140 - 2092) + '\157' + chr(1251 - 1199) + chr(1734 - 1680), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b101111 + 0o2) + '\x30' + chr(0b10001 + 0o44), 8), nzTpIcepk0o8(chr(91 - 43) + chr(0b1101111) + chr(50) + chr(53) + '\060', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x32' + '\x31' + chr(2213 - 2165), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110010) + chr(0b10001 + 0o40), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(167 - 116) + '\061' + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(7945 - 7834) + '\061' + '\065' + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b100101 + 0o13) + '\x6f' + '\x32' + '\062' + chr(1983 - 1932), 41652 - 41644), nzTpIcepk0o8('\x30' + chr(0b1000000 + 0o57) + chr(49) + chr(0b110011) + '\063', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b110001) + '\062', 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001) + '\x33' + chr(2168 - 2114), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(51) + '\x34' + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\065' + chr(55), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b101110 + 0o4) + chr(0b110011) + '\064', 13496 - 13488), nzTpIcepk0o8(chr(0b1011 + 0o45) + '\157' + '\x31' + chr(52) + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x31' + chr(52) + chr(2111 - 2063), ord("\x08")), nzTpIcepk0o8(chr(1730 - 1682) + chr(111) + chr(910 - 859) + chr(0b110000) + chr(156 - 105), 35091 - 35083), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + chr(1350 - 1295) + '\063', 0o10), nzTpIcepk0o8(chr(1976 - 1928) + chr(0b110001 + 0o76) + '\063' + chr(0b101011 + 0o13), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101111 + 0o2) + chr(1672 - 1621) + chr(566 - 516), 58817 - 58809), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(10640 - 10529) + '\x33' + '\x30' + chr(0b11111 + 0o24), 8), nzTpIcepk0o8('\x30' + chr(0b1110 + 0o141) + chr(50) + '\061' + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(54) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11111 + 0o22) + chr(54) + chr(0b10110 + 0o40), 0b1000), nzTpIcepk0o8(chr(48) + chr(3370 - 3259) + chr(0b110001) + chr(1113 - 1061) + chr(992 - 938), 1109 - 1101), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(4205 - 4094) + chr(0b110011) + '\x31' + '\061', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b11110 + 0o23) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + '\157' + chr(51) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110100) + chr(48), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b1011 + 0o52) + chr(0b10000 + 0o47), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + chr(0b10001 + 0o42) + chr(0b110100), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110101) + chr(0b110000), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd3'), chr(0b1110 + 0o126) + chr(101) + '\143' + chr(0b111110 + 0o61) + '\144' + chr(101))(chr(5042 - 4925) + chr(0b100110 + 0o116) + chr(0b10101 + 0o121) + chr(171 - 126) + chr(328 - 272)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def JxrAm8af1QFd(hXMPsSrOQzbh, _R8IKF5IwAfX, A0gVABhHjc3L, eusUzaoe2zmY, biRCFepsLie5=None):
Ob89R3fsHgUT = _R8IKF5IwAfX.split(roI3spqORKae(ES5oEprVxulp(b'\xd2'), '\144' + chr(8817 - 8716) + '\x63' + chr(0b1101111) + chr(0b1011111 + 0o5) + '\145')(chr(0b1110101) + '\x74' + '\146' + chr(1655 - 1610) + chr(0b111000)))[-nzTpIcepk0o8(chr(0b1 + 0o57) + chr(111) + chr(49), 0o10)].LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(111) + chr(0b1100100) + '\x65')(chr(6756 - 6639) + chr(590 - 474) + chr(102) + chr(1340 - 1295) + chr(0b111000)))[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100001 + 0o17), 0o10)]
if A0gVABhHjc3L != roI3spqORKae(ES5oEprVxulp(b''), chr(0b1001000 + 0o34) + '\145' + chr(2371 - 2272) + chr(0b1101111) + chr(0b110011 + 0o61) + chr(0b100001 + 0o104))(chr(0b100111 + 0o116) + '\x74' + '\146' + chr(0b101101) + chr(0b11010 + 0o36)):
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b'\xa2'), chr(0b100 + 0o140) + chr(101) + chr(3114 - 3015) + chr(7239 - 7128) + chr(0b1100100) + chr(0b1100101 + 0o0))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + '\070') + A0gVABhHjc3L
if biRCFepsLie5:
(Ob89R3fsHgUT, zIqcgNgQ9U6F) = rc3WuU7Dnqt_(Ob89R3fsHgUT)
VR8aY7ued3Ju = Ob89R3fsHgUT + A0gVABhHjc3L
VR8aY7ued3Ju += roI3spqORKae(ES5oEprVxulp(b'\xa2'), chr(0b1100100) + '\x65' + chr(0b1111 + 0o124) + '\x6f' + chr(100) + chr(101))('\165' + chr(11349 - 11233) + chr(9446 - 9344) + '\x2d' + chr(0b111000)) + biRCFepsLie5
else:
VR8aY7ued3Ju = Ob89R3fsHgUT + A0gVABhHjc3L
W65AXgMHpTEp = _R8IKF5IwAfX.LfRrQOxuDvnC(hXMPsSrOQzbh.pipeline)
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x8dk T)?Ii\x0eU0\xca\xecx\xbe'), '\144' + chr(0b110 + 0o137) + chr(0b1100011) + chr(9980 - 9869) + chr(4612 - 4512) + '\145')(chr(0b1011100 + 0o31) + chr(0b110011 + 0o101) + chr(0b111000 + 0o56) + chr(45) + chr(56))):
W65AXgMHpTEp = W65AXgMHpTEp[nzTpIcepk0o8(chr(48) + chr(8265 - 8154) + '\x31', 8)].LfRrQOxuDvnC(hXMPsSrOQzbh.pipeline_subdir)[nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1989 - 1941), 8)]
else:
W65AXgMHpTEp = W65AXgMHpTEp[nzTpIcepk0o8(chr(0b101001 + 0o7) + '\157' + '\061', 8)].LfRrQOxuDvnC(Ob89R3fsHgUT)[nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(7129 - 7018) + chr(0b110000), 8)]
_n_hj4AIMWbq = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xd2f5C, Fx8P \xdb\xa7'), chr(0b1100100) + chr(7808 - 7707) + chr(8222 - 8123) + '\x6f' + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(0b1010101 + 0o21) + chr(0b10010 + 0o33) + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'\x89g>T19x'), '\144' + '\145' + chr(0b1100011) + chr(2494 - 2383) + '\144' + chr(0b100001 + 0o104))('\165' + chr(0b110010 + 0o102) + '\146' + '\x2d' + chr(0b11100 + 0o34)) + mfNgQb_vYBmS.__version__ + roI3spqORKae(ES5oEprVxulp(b'\xd2'), '\144' + chr(0b1011111 + 0o6) + '\143' + chr(0b1101111) + chr(0b1000110 + 0o36) + '\145')('\x75' + chr(0b100110 + 0o116) + '\146' + chr(0b100100 + 0o11) + chr(1708 - 1652)) + W65AXgMHpTEp + roI3spqORKae(ES5oEprVxulp(b'\xd2'), chr(100) + '\145' + chr(0b1010000 + 0o23) + chr(1612 - 1501) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(583 - 527))
tDZBQJxWlNck = _n_hj4AIMWbq + roI3spqORKae(ES5oEprVxulp(b'\xd2'), chr(0b1100100) + chr(0b100 + 0o141) + chr(0b1001 + 0o132) + chr(0b1101111) + chr(0b1100100) + chr(0b1000101 + 0o40))('\x75' + '\x74' + chr(0b1000000 + 0o46) + chr(0b101101) + chr(0b111000)) + eusUzaoe2zmY + roI3spqORKae(ES5oEprVxulp(b'\xd2'), chr(0b11110 + 0o106) + chr(9216 - 9115) + chr(0b1100011) + chr(11229 - 11118) + chr(0b1001110 + 0o26) + chr(101))(chr(0b1110101) + chr(0b101110 + 0o106) + '\146' + chr(45) + chr(0b111 + 0o61))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b"\x87Q\x19H+\x06RI'J\x14\x9c"), '\144' + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5637 - 5536))(chr(0b1110101) + '\164' + chr(8947 - 8845) + chr(0b101 + 0o50) + chr(0b101101 + 0o13)))(tDZBQJxWlNck):
try:
roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'\x90c;T!?U\x7f'), chr(100) + '\x65' + chr(99) + '\157' + '\144' + chr(0b100100 + 0o101))(chr(0b1100011 + 0o22) + chr(116) + chr(9802 - 9700) + chr(727 - 682) + chr(0b111000)))(tDZBQJxWlNck)
except UtiWT6f6p9yZ:
roI3spqORKae(oprIvDIRQyCb, roI3spqORKae(ES5oEprVxulp(b'\x8en5T5'), '\144' + '\145' + chr(99) + chr(2773 - 2662) + '\144' + chr(0b1010010 + 0o23))(chr(117) + '\164' + '\x66' + chr(0b10 + 0o53) + '\x38'))(nzTpIcepk0o8(chr(0b10011 + 0o35) + '\x6f' + chr(1980 - 1930), 8))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b"\x87Q\x19H+\x06RI'J\x14\x9c"), '\x64' + '\145' + chr(4031 - 3932) + chr(111) + chr(0b1100100) + '\x65')(chr(1430 - 1313) + chr(116) + chr(0b1100110) + '\055' + chr(1894 - 1838)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xbfK\x14b\x1a2N~'), chr(100) + '\x65' + chr(0b1100011) + chr(0b111001 + 0o66) + chr(0b1100100) + chr(101))(chr(2351 - 2234) + chr(0b1011111 + 0o25) + chr(0b1100110) + chr(45) + '\x38')) + roI3spqORKae(ES5oEprVxulp(b'\xd2f5C, Fx8P \xdb\xa7'), chr(4387 - 4287) + '\145' + chr(99) + chr(0b101101 + 0o102) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b100010 + 0o104) + '\055' + chr(0b101111 + 0o11)) + roI3spqORKae(ES5oEprVxulp(b'\x89g>T19x'), chr(6386 - 6286) + chr(101) + chr(99) + chr(9667 - 9556) + chr(0b1000001 + 0o43) + '\145')('\165' + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'\xa2]&T7%Nc?y\x1a'), '\x64' + chr(101) + '\143' + chr(111) + chr(7786 - 7686) + '\x65')(chr(6868 - 6751) + chr(0b1110100) + '\146' + chr(45) + '\070')) + roI3spqORKae(ES5oEprVxulp(b'\xd2f1E$%Bx\x0eB \xdb\xebc\xa5\x18\xe72e0\xc9E\xef\x0b\x0e'), chr(100) + chr(101) + chr(99) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(6276 - 6160) + chr(102) + '\055' + chr(3037 - 2981))):
try:
with DnU3Rq9N5ala(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xbfK\x14b\x1a2N~'), '\144' + chr(101) + chr(0b1100011) + '\x6f' + chr(3586 - 3486) + chr(101))(chr(1227 - 1110) + chr(0b1110100) + chr(6526 - 6424) + chr(45) + chr(0b10100 + 0o44))) + roI3spqORKae(ES5oEprVxulp(b'\xd2f5C, Fx8P \xdb\xa7'), chr(0b101010 + 0o72) + chr(9234 - 9133) + chr(2116 - 2017) + chr(0b1100100 + 0o13) + chr(5051 - 4951) + chr(0b1001101 + 0o30))(chr(0b1010011 + 0o42) + chr(0b1011100 + 0o30) + '\x66' + chr(0b101101) + '\070') + roI3spqORKae(ES5oEprVxulp(b'\x89g>T19x'), chr(100) + chr(0b1100101) + chr(99) + '\157' + chr(1470 - 1370) + chr(101))(chr(12596 - 12479) + '\x74' + chr(102) + '\x2d' + '\070') + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'\xa2]&T7%Nc?y\x1a'), chr(100) + chr(0b1000000 + 0o45) + '\x63' + chr(111) + '\144' + '\x65')(chr(117) + '\x74' + chr(970 - 868) + chr(0b11010 + 0o23) + chr(0b111000))) + roI3spqORKae(ES5oEprVxulp(b'\xd2f1E$%Bx\x0eB \xdb\xebc\xa5\x18\xe72e0\xc9E\xef\x0b\x0e'), '\x64' + chr(2695 - 2594) + '\x63' + chr(111) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(165 - 109)), roI3spqORKae(ES5oEprVxulp(b'\x8a'), '\144' + chr(0b101 + 0o140) + '\143' + '\157' + chr(4414 - 4314) + chr(5885 - 5784))('\165' + chr(0b1110100) + '\146' + chr(45) + chr(56))) as ANVmZzFk_RHC:
roI3spqORKae(LNUKEwZDIbyb, roI3spqORKae(ES5oEprVxulp(b'\x99w=A'), chr(100) + '\x65' + chr(0b110101 + 0o56) + chr(5415 - 5304) + '\144' + '\x65')('\x75' + '\x74' + chr(7802 - 7700) + chr(45) + chr(56)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x89g>T19Nb7I'), '\x64' + chr(8503 - 8402) + chr(2106 - 2007) + chr(111) + '\x64' + chr(0b1100010 + 0o3))(chr(4790 - 4673) + '\164' + chr(0b1010010 + 0o24) + '\055' + chr(0b111000))), ANVmZzFk_RHC)
except UtiWT6f6p9yZ:
roI3spqORKae(oprIvDIRQyCb, roI3spqORKae(ES5oEprVxulp(b'\x8en5T5'), chr(0b1001110 + 0o26) + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(6202 - 6100) + '\055' + '\x38'))(nzTpIcepk0o8('\060' + chr(11828 - 11717) + chr(0b110010), 8))
return (VR8aY7ued3Ju, tDZBQJxWlNck, _n_hj4AIMWbq) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.get_tags | def get_tags(self, tag, quiet=1):
"""
Returns which tag alternatives can be identified in the BIDS derivatives structure.
"""
if not self.pipeline:
print('Please set pipeline first.')
self.get_pipeline_alternatives(quiet)
else:
if tag == 'sub':
datapath = self.BIDS_dir + '/derivatives/' + self.pipeline + '/'
tag_alternatives = [
f.split('sub-')[1] for f in os.listdir(datapath) if os.path.isdir(datapath + f) and 'sub-' in f]
elif tag == 'ses':
tag_alternatives = []
for sub in self.bids_tags['sub']:
tag_alternatives += [f.split('ses-')[1] for f in os.listdir(
self.BIDS_dir + '/derivatives/' + self.pipeline + '/' + 'sub-' + sub) if 'ses' in f]
tag_alternatives = set(tag_alternatives)
else:
files = self.get_selected_files(quiet=1)
tag_alternatives = []
for f in files:
f = f.split('.')[0]
f = f.split('/')[-1]
tag_alternatives += [t.split('-')[1]
for t in f.split('_') if t.split('-')[0] == tag]
tag_alternatives = set(tag_alternatives)
if quiet == 0:
print(tag + ' alternatives: ' + ', '.join(tag_alternatives))
return list(tag_alternatives) | python | def get_tags(self, tag, quiet=1):
"""
Returns which tag alternatives can be identified in the BIDS derivatives structure.
"""
if not self.pipeline:
print('Please set pipeline first.')
self.get_pipeline_alternatives(quiet)
else:
if tag == 'sub':
datapath = self.BIDS_dir + '/derivatives/' + self.pipeline + '/'
tag_alternatives = [
f.split('sub-')[1] for f in os.listdir(datapath) if os.path.isdir(datapath + f) and 'sub-' in f]
elif tag == 'ses':
tag_alternatives = []
for sub in self.bids_tags['sub']:
tag_alternatives += [f.split('ses-')[1] for f in os.listdir(
self.BIDS_dir + '/derivatives/' + self.pipeline + '/' + 'sub-' + sub) if 'ses' in f]
tag_alternatives = set(tag_alternatives)
else:
files = self.get_selected_files(quiet=1)
tag_alternatives = []
for f in files:
f = f.split('.')[0]
f = f.split('/')[-1]
tag_alternatives += [t.split('-')[1]
for t in f.split('_') if t.split('-')[0] == tag]
tag_alternatives = set(tag_alternatives)
if quiet == 0:
print(tag + ' alternatives: ' + ', '.join(tag_alternatives))
return list(tag_alternatives) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L468-L497 | train | Returns which tag alternatives can be identified in the BIDS derivatives structure. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(111) + chr(0b101 + 0o56) + chr(521 - 466) + chr(54), 0o10), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(12094 - 11983) + chr(0b101000 + 0o12) + '\x31' + chr(2111 - 2056), 0o10), nzTpIcepk0o8(chr(0b11111 + 0o21) + '\x6f' + chr(1316 - 1266) + chr(0b1000 + 0o57) + chr(0b110111), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2338 - 2288) + '\062' + chr(52), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(5111 - 5000) + chr(0b101001 + 0o10) + '\060' + '\063', 27661 - 27653), nzTpIcepk0o8(chr(48) + '\157' + chr(1364 - 1313) + chr(0b110111) + chr(0b100010 + 0o23), 0b1000), nzTpIcepk0o8(chr(1294 - 1246) + '\157' + chr(1159 - 1110) + chr(0b10111 + 0o37) + chr(1726 - 1673), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\063' + chr(0b110001) + '\x31', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(51) + '\x35' + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(4063 - 3952) + chr(2277 - 2227) + chr(817 - 767) + chr(0b10000 + 0o42), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(8433 - 8322) + '\x33' + '\064' + chr(2038 - 1987), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(326 - 275) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + '\061' + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + chr(2281 - 2231), 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b11110 + 0o23) + '\x31' + '\064', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1000110 + 0o51) + '\062' + chr(50) + chr(2118 - 2068), 8), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\157' + chr(54), 29207 - 29199), nzTpIcepk0o8('\060' + '\157' + chr(0b11110 + 0o23) + chr(0b11 + 0o62) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(0b1101 + 0o43) + chr(0b1001011 + 0o44) + chr(0b110010) + chr(0b110101) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\063' + '\062' + '\x37', 0b1000), nzTpIcepk0o8(chr(1453 - 1405) + chr(111) + chr(0b110010) + '\060' + '\060', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + '\067' + chr(2044 - 1994), 0b1000), nzTpIcepk0o8(chr(1798 - 1750) + chr(0b1000101 + 0o52) + chr(1958 - 1909) + chr(0b110001) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b101110 + 0o101) + chr(50) + '\063', 0b1000), nzTpIcepk0o8(chr(2111 - 2063) + chr(111) + chr(0b10011 + 0o41) + '\x37', 0b1000), nzTpIcepk0o8(chr(1123 - 1075) + chr(10704 - 10593) + chr(0b1 + 0o61) + chr(0b1011 + 0o52) + '\x31', 46729 - 46721), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b1101111) + '\x31' + chr(49) + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b11111 + 0o120) + chr(825 - 775) + '\x30' + '\061', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + chr(0b101101 + 0o10) + '\x36', 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + '\x6f' + chr(49) + chr(48) + chr(52), 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(53) + chr(2235 - 2184), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\x34' + chr(0b1110 + 0o47), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(913 - 860) + chr(51), 0o10), nzTpIcepk0o8(chr(0b101110 + 0o2) + chr(2218 - 2107) + '\x32' + chr(1133 - 1078) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101000 + 0o14), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + '\063', 0o10), nzTpIcepk0o8('\060' + chr(627 - 516) + chr(1560 - 1510) + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(1569 - 1521) + chr(10535 - 10424) + chr(51) + '\065', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(0b110111) + '\061', 40563 - 40555), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b10110 + 0o33) + chr(0b110101) + chr(51), 1114 - 1106)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(413 - 360) + chr(48), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd0'), chr(5535 - 5435) + chr(101) + '\x63' + '\x6f' + chr(0b1000 + 0o134) + '\145')('\x75' + '\x74' + chr(102) + chr(1947 - 1902) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def RAk0l46mHUY6(hXMPsSrOQzbh, A0gVABhHjc3L, lH4M2yZsqrSS=nzTpIcepk0o8(chr(0b101100 + 0o4) + '\x6f' + chr(49), 13237 - 13229)):
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x8e\xe6\xcf\xf1/\x94\x1b\xac'), chr(9307 - 9207) + chr(0b1100101) + chr(0b1100011) + chr(0b1011 + 0o144) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1111 + 0o145) + chr(0b1111 + 0o127) + chr(0b101010 + 0o3) + '\070')):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae\xe3\xda\xf50\x98U\xba\x88\xe6\xc3j\xa4j)\xfeo\x04\xcd\xf7\xe6S8`S\x87'), chr(1748 - 1648) + '\x65' + chr(0b1001000 + 0o33) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(1187 - 1071) + '\146' + chr(1745 - 1700) + chr(1569 - 1513)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x99\xea\xcb\xcb3\x94\x05\xac\x81\xfb\x8d\x7f\x92{ \xe6c\x18\xc6\xb6\xf4S<vT'), chr(2052 - 1952) + chr(0b1001 + 0o134) + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(0b11000 + 0o135) + '\x74' + '\x66' + '\x2d' + chr(0b100011 + 0o25)))(lH4M2yZsqrSS)
else:
if A0gVABhHjc3L == roI3spqORKae(ES5oEprVxulp(b'\x8d\xfa\xdd'), '\144' + '\145' + '\x63' + chr(6170 - 6059) + '\144' + '\145')('\165' + chr(0b1110100) + '\x66' + chr(0b11010 + 0o23) + chr(0b110000 + 0o10)):
tAZVCZnvgGgx = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xd1\xeb\xda\xe6*\x8b\x14\xbd\x84\xe4\x86i\xe2'), chr(6591 - 6491) + '\145' + '\x63' + '\x6f' + '\144' + '\x65')('\165' + '\x74' + '\146' + chr(693 - 648) + '\x38') + hXMPsSrOQzbh.pipeline + roI3spqORKae(ES5oEprVxulp(b'\xd1'), '\x64' + chr(101) + chr(0b1000100 + 0o37) + '\157' + '\x64' + '\x65')('\x75' + chr(9059 - 8943) + '\146' + chr(1908 - 1863) + chr(0b110 + 0o62))
JoEVK47z_NK8 = [_R8IKF5IwAfX.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\x8d\xfa\xdd\xb9'), chr(100) + '\x65' + '\143' + chr(0b1000010 + 0o55) + chr(0b1100100) + chr(101))(chr(823 - 706) + chr(13273 - 13157) + chr(156 - 54) + chr(0b101101) + '\x38'))[nzTpIcepk0o8('\x30' + chr(1775 - 1664) + chr(0b11100 + 0o25), 8)] for _R8IKF5IwAfX in aHUqKstZLeS6.listdir(tAZVCZnvgGgx) if aHUqKstZLeS6.path.XhP1ZtB9aQzB(tAZVCZnvgGgx + _R8IKF5IwAfX) and roI3spqORKae(ES5oEprVxulp(b'\x8d\xfa\xdd\xb9'), '\144' + chr(101) + chr(7052 - 6953) + chr(0b101110 + 0o101) + chr(100) + '\145')('\165' + chr(116) + chr(10356 - 10254) + chr(45) + '\070') in _R8IKF5IwAfX]
elif A0gVABhHjc3L == roI3spqORKae(ES5oEprVxulp(b'\x8d\xea\xcc'), chr(0b1100100) + '\x65' + '\x63' + '\x6f' + chr(9803 - 9703) + chr(4659 - 4558))('\x75' + '\x74' + chr(0b1000100 + 0o42) + chr(45) + chr(0b111000)):
JoEVK47z_NK8 = []
for _zPndKq6xMgp in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x9c\xe6\xdb\xe7\x1c\x89\x14\xae\x9e'), chr(0b1100100) + chr(101) + '\x63' + chr(0b101 + 0o152) + chr(100) + chr(0b1001011 + 0o32))(chr(5784 - 5667) + chr(3873 - 3757) + '\146' + '\055' + chr(56)))[roI3spqORKae(ES5oEprVxulp(b'\x8d\xfa\xdd'), chr(0b1100100) + '\x65' + '\143' + chr(0b10110 + 0o131) + chr(0b1010101 + 0o17) + '\x65')(chr(7760 - 7643) + chr(0b1 + 0o163) + chr(102) + '\055' + chr(56))]:
JoEVK47z_NK8 += [_R8IKF5IwAfX.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\x8d\xea\xcc\xb9'), chr(0b1100010 + 0o2) + chr(0b111011 + 0o52) + '\x63' + chr(0b1010011 + 0o34) + chr(0b1100100) + chr(6188 - 6087))('\x75' + chr(10558 - 10442) + '\146' + '\055' + chr(0b11100 + 0o34)))[nzTpIcepk0o8(chr(48) + chr(0b1000111 + 0o50) + '\x31', 8)] for _R8IKF5IwAfX in aHUqKstZLeS6.listdir(hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xd1\xeb\xda\xe6*\x8b\x14\xbd\x84\xe4\x86i\xe2'), chr(0b1100100) + chr(0b10011 + 0o122) + chr(1574 - 1475) + '\x6f' + chr(100) + '\145')('\165' + '\164' + chr(0b111100 + 0o52) + chr(0b100010 + 0o13) + chr(56)) + hXMPsSrOQzbh.pipeline + roI3spqORKae(ES5oEprVxulp(b'\xd1'), chr(0b110100 + 0o60) + '\145' + chr(99) + chr(0b1101111) + chr(0b1001100 + 0o30) + chr(2592 - 2491))(chr(922 - 805) + chr(0b1010110 + 0o36) + '\x66' + '\055' + chr(56)) + roI3spqORKae(ES5oEprVxulp(b'\x8d\xfa\xdd\xb9'), '\x64' + chr(0b1100101) + chr(253 - 154) + chr(0b111101 + 0o62) + chr(100) + chr(1585 - 1484))(chr(0b1001 + 0o154) + chr(12849 - 12733) + chr(2273 - 2171) + chr(0b0 + 0o55) + '\070') + _zPndKq6xMgp) if roI3spqORKae(ES5oEprVxulp(b'\x8d\xea\xcc'), chr(0b111101 + 0o47) + '\145' + '\x63' + chr(0b110000 + 0o77) + chr(100) + chr(0b1100101))('\165' + chr(116) + chr(102) + chr(0b101101) + chr(0b111000 + 0o0)) in _R8IKF5IwAfX]
JoEVK47z_NK8 = Bvi71nNyvlqO(JoEVK47z_NK8)
else:
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + '\157' + '\x31', 8))
JoEVK47z_NK8 = []
for _R8IKF5IwAfX in wR5_YWECjaY7:
_R8IKF5IwAfX = _R8IKF5IwAfX.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xd0'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(9057 - 8957) + chr(339 - 238))('\165' + '\x74' + chr(0b1111 + 0o127) + chr(45) + chr(1009 - 953)))[nzTpIcepk0o8('\x30' + chr(5633 - 5522) + chr(0b110000), 0b1000)]
_R8IKF5IwAfX = _R8IKF5IwAfX.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xd1'), chr(0b110111 + 0o55) + chr(1744 - 1643) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b100001 + 0o124) + '\x74' + '\146' + chr(0b11101 + 0o20) + '\x38'))[-nzTpIcepk0o8('\x30' + '\x6f' + chr(0b10011 + 0o36), 8)]
JoEVK47z_NK8 += [h3Vc_4wxEbgd.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + chr(0b1100101) + '\x63' + chr(0b1010011 + 0o34) + '\x64' + '\145')('\x75' + '\164' + chr(102) + chr(0b101101) + '\070'))[nzTpIcepk0o8('\x30' + '\157' + chr(0b11110 + 0o23), 8)] for h3Vc_4wxEbgd in _R8IKF5IwAfX.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xa1'), chr(9607 - 9507) + '\x65' + chr(0b11011 + 0o110) + chr(0b1101010 + 0o5) + '\x64' + chr(0b1100101))(chr(7059 - 6942) + chr(0b1110100) + chr(102) + chr(0b101101) + '\x38')) if h3Vc_4wxEbgd.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'\xd3'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\x6f' + '\x64' + '\145')(chr(4605 - 4488) + chr(116) + chr(0b110101 + 0o61) + '\055' + '\070'))[nzTpIcepk0o8(chr(1718 - 1670) + '\x6f' + chr(48), 8)] == A0gVABhHjc3L]
JoEVK47z_NK8 = Bvi71nNyvlqO(JoEVK47z_NK8)
if lH4M2yZsqrSS == nzTpIcepk0o8('\x30' + chr(111) + chr(1563 - 1515), 8):
v8jsMqaYV6U2(A0gVABhHjc3L + roI3spqORKae(ES5oEprVxulp(b'\xde\xee\xd3\xe0&\x8f\x1b\xa8\x99\xfb\x95\x7f\xbe l'), '\x64' + chr(6968 - 6867) + chr(191 - 92) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(11468 - 11351) + '\164' + '\x66' + chr(0b11101 + 0o20) + '\070') + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xd2\xaf'), chr(0b1000101 + 0o37) + chr(7928 - 7827) + '\x63' + chr(9084 - 8973) + chr(100) + chr(0b1100101))(chr(2859 - 2742) + chr(0b1110100) + chr(102) + chr(0b10101 + 0o30) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\xa7\xbb\xc6\xd9z\xbf\x16\xaf\xb9\xd1\xadk'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(111) + '\144' + chr(0b1100101))(chr(12309 - 12192) + chr(7754 - 7638) + '\146' + '\x2d' + chr(0b110010 + 0o6)))(JoEVK47z_NK8))
return H4NoA26ON7iG(JoEVK47z_NK8) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.get_pipeline_alternatives | def get_pipeline_alternatives(self, quiet=0):
"""
The pipeline are the different outputs that are placed in the ./derivatives directory.
get_pipeline_alternatives gets those which are found in the specified BIDS directory structure.
"""
if not os.path.exists(self.BIDS_dir + '/derivatives/'):
print('Derivative directory not found. Is the data preprocessed?')
else:
pipeline_alternatives = os.listdir(self.BIDS_dir + '/derivatives/')
if quiet == 0:
print('Derivative alternatives: ' +
', '.join(pipeline_alternatives))
return list(pipeline_alternatives) | python | def get_pipeline_alternatives(self, quiet=0):
"""
The pipeline are the different outputs that are placed in the ./derivatives directory.
get_pipeline_alternatives gets those which are found in the specified BIDS directory structure.
"""
if not os.path.exists(self.BIDS_dir + '/derivatives/'):
print('Derivative directory not found. Is the data preprocessed?')
else:
pipeline_alternatives = os.listdir(self.BIDS_dir + '/derivatives/')
if quiet == 0:
print('Derivative alternatives: ' +
', '.join(pipeline_alternatives))
return list(pipeline_alternatives) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L499-L512 | train | Get the list of alternatives in the pipeline. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(86 - 38) + chr(0b1101111) + chr(49) + '\x37' + chr(0b10 + 0o60), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(2037 - 1987) + '\066' + '\x36', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + '\060' + chr(50), 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x33' + chr(0b10000 + 0o40) + '\063', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(8597 - 8486) + '\064' + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\064' + '\x31', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(604 - 553) + chr(498 - 445) + chr(0b110101), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2305 - 2256) + chr(197 - 147) + chr(1083 - 1028), 0o10), nzTpIcepk0o8('\x30' + chr(0b110101 + 0o72) + chr(50) + '\x34' + chr(54), 0b1000), nzTpIcepk0o8(chr(1958 - 1910) + chr(0b1101111) + '\061' + chr(0b110010) + chr(0b10000 + 0o42), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b100 + 0o56) + chr(222 - 172) + chr(54), 3350 - 3342), nzTpIcepk0o8('\060' + chr(0b1101110 + 0o1) + '\x31' + '\061' + '\x35', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1010000 + 0o37) + chr(0b110011) + chr(0b1110 + 0o42) + chr(1411 - 1357), ord("\x08")), nzTpIcepk0o8('\x30' + chr(6047 - 5936) + chr(51) + chr(0b110000) + chr(0b10100 + 0o37), 8), nzTpIcepk0o8(chr(48) + chr(6159 - 6048) + '\x31' + chr(0b110010) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(6980 - 6869) + '\061' + chr(50) + '\064', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b0 + 0o61) + chr(0b101101 + 0o11) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(48) + chr(2260 - 2149) + chr(0b10101 + 0o42), 28648 - 28640), nzTpIcepk0o8(chr(2300 - 2252) + chr(2442 - 2331) + '\x33' + chr(1420 - 1368), ord("\x08")), nzTpIcepk0o8(chr(1375 - 1327) + chr(6987 - 6876) + '\x31' + chr(453 - 403) + '\062', 8), nzTpIcepk0o8(chr(0b10101 + 0o33) + chr(1074 - 963) + chr(50) + chr(687 - 638) + '\066', 19055 - 19047), nzTpIcepk0o8(chr(48 - 0) + chr(10227 - 10116) + chr(0b110 + 0o55) + chr(948 - 894) + '\x36', 12134 - 12126), nzTpIcepk0o8(chr(0b101010 + 0o6) + '\x6f' + '\061' + '\060' + '\065', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11001 + 0o31) + chr(1300 - 1245), ord("\x08")), nzTpIcepk0o8(chr(825 - 777) + '\157' + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + '\x37' + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1000101 + 0o52) + chr(0b110001) + chr(0b101101 + 0o7) + chr(2044 - 1995), 0o10), nzTpIcepk0o8('\060' + chr(0b1100001 + 0o16) + chr(1057 - 1008) + chr(53), 0o10), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(2861 - 2750) + chr(0b101101 + 0o4) + chr(728 - 674) + chr(0b101110 + 0o7), 0b1000), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + chr(50) + chr(0b110000) + chr(2000 - 1947), 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + '\x32' + chr(1621 - 1568), 0b1000), nzTpIcepk0o8('\060' + '\157' + '\062' + '\x30' + '\065', 8), nzTpIcepk0o8(chr(0b11011 + 0o25) + '\x6f' + '\x31' + chr(0b101111 + 0o2) + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(299 - 249) + chr(48 - 0) + chr(1389 - 1340), 13255 - 13247), nzTpIcepk0o8(chr(0b101000 + 0o10) + '\x6f' + chr(1381 - 1329) + chr(510 - 460), 0o10), nzTpIcepk0o8(chr(678 - 630) + chr(0b1001011 + 0o44) + chr(2034 - 1983) + '\061' + chr(624 - 573), 0o10), nzTpIcepk0o8('\060' + chr(8846 - 8735) + chr(0b100111 + 0o12) + chr(0b110001) + chr(0b110 + 0o53), 62818 - 62810), nzTpIcepk0o8('\x30' + '\157' + '\063' + chr(48) + chr(1785 - 1734), 8), nzTpIcepk0o8(chr(1599 - 1551) + chr(111) + chr(49) + chr(1764 - 1711), 8), nzTpIcepk0o8('\x30' + '\x6f' + '\063' + '\x35' + chr(0b10101 + 0o34), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\x6f' + chr(488 - 435) + '\x30', 55577 - 55569)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'T'), chr(7429 - 7329) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def aV8iQhceSlFP(hXMPsSrOQzbh, lH4M2yZsqrSS=nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101100 + 0o4), ord("\x08"))):
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\x00\xe5\x0b\xbaIq\x98\x12\xd0>\xc7y'), chr(0b111110 + 0o46) + chr(0b1011001 + 0o14) + chr(99) + chr(0b1101111) + chr(6824 - 6724) + chr(2464 - 2363))(chr(0b111101 + 0o70) + chr(0b110111 + 0o75) + '\146' + '\x2d' + chr(0b111000)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'8\xff\x06\x90xE\x84%'), chr(0b1100100) + chr(0b101011 + 0o72) + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(0b111000))) + roI3spqORKae(ES5oEprVxulp(b"U\xd2'\xb1NW\x8c#\xcf$\xf3>\xe9"), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b1010 + 0o134) + chr(0b100011 + 0o12) + '\070')):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b">\xd30\xaaQ@\x99>\xd07\xb6)\xaf\xb167\x05hn+\xae\x98*c#\xda\x0ex\x1b\xe1\xbb\xa5\x03\xf2\x02\xbf!\xa6-\x8d\x1b\xc2#\xe3WS\x88'\xd4=\xf5(\xb5\xb060N"), chr(0b1100100) + chr(0b1010101 + 0o20) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + '\164' + chr(102) + chr(45) + chr(0b1011 + 0o55)))
else:
zZ5IfgWRAcs3 = aHUqKstZLeS6.listdir(hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b"U\xd2'\xb1NW\x8c#\xcf$\xf3>\xe9"), chr(0b1100100) + '\145' + chr(0b10100 + 0o117) + chr(111) + '\x64' + chr(101))(chr(0b1011100 + 0o31) + chr(116) + chr(0b1001010 + 0o34) + chr(0b101101) + chr(0b111000)))
if lH4M2yZsqrSS == nzTpIcepk0o8('\060' + chr(0b1000011 + 0o54) + chr(683 - 635), 8):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'>\xd30\xaaQ@\x99>\xd07\xb6,\xaa\xb76&\x1ffh;\xf8\x936-#'), '\144' + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(253 - 208) + chr(0b11101 + 0o33)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'V\x96'), chr(1402 - 1302) + chr(101) + chr(6611 - 6512) + chr(0b1101111) + chr(0b1001001 + 0o33) + chr(0b1011000 + 0o15))(chr(117) + chr(0b1110100) + chr(0b1100011 + 0o3) + chr(45) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'#\x82;\x8e\x1ec\x8e1\xf2\x11\xd8<'), chr(0b11011 + 0o111) + chr(0b1001011 + 0o32) + chr(650 - 551) + '\x6f' + chr(8767 - 8667) + chr(101))('\x75' + chr(13027 - 12911) + '\146' + '\055' + '\x38'))(zZ5IfgWRAcs3))
return H4NoA26ON7iG(zZ5IfgWRAcs3) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.get_pipeline_subdir_alternatives | def get_pipeline_subdir_alternatives(self, quiet=0):
"""
Note
-----
This function currently returns the wrong folders and will be fixed in the future.
This function should return ./derivatives/pipeline/sub-xx/[ses-yy/][func/]/pipeline_subdir
But it does not care about ses-yy at the moment.
"""
if not self.pipeline:
print('Please set pipeline first.')
self.get_pipeline_alternatives()
else:
pipeline_subdir_alternatives = []
for s in self.bids_tags['sub']:
derdir_files = os.listdir(
self.BIDS_dir + '/derivatives/' + self.pipeline + '/sub-' + s + '/func/')
pipeline_subdir_alternatives += [
f for f in derdir_files if os.path.isdir(self.BIDS_dir + '/derivatives/' + self.pipeline + '/sub-' + s + '/func/' + f)]
pipeline_subdir_alternatives = set(pipeline_subdir_alternatives)
if quiet == 0:
print('Pipeline_subdir alternatives: ' +
', '.join(pipeline_subdir_alternatives))
return list(pipeline_subdir_alternatives) | python | def get_pipeline_subdir_alternatives(self, quiet=0):
"""
Note
-----
This function currently returns the wrong folders and will be fixed in the future.
This function should return ./derivatives/pipeline/sub-xx/[ses-yy/][func/]/pipeline_subdir
But it does not care about ses-yy at the moment.
"""
if not self.pipeline:
print('Please set pipeline first.')
self.get_pipeline_alternatives()
else:
pipeline_subdir_alternatives = []
for s in self.bids_tags['sub']:
derdir_files = os.listdir(
self.BIDS_dir + '/derivatives/' + self.pipeline + '/sub-' + s + '/func/')
pipeline_subdir_alternatives += [
f for f in derdir_files if os.path.isdir(self.BIDS_dir + '/derivatives/' + self.pipeline + '/sub-' + s + '/func/' + f)]
pipeline_subdir_alternatives = set(pipeline_subdir_alternatives)
if quiet == 0:
print('Pipeline_subdir alternatives: ' +
', '.join(pipeline_subdir_alternatives))
return list(pipeline_subdir_alternatives) | [
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-----
This function currently returns the wrong folders and will be fixed in the future.
This function should return ./derivatives/pipeline/sub-xx/[ses-yy/][func/]/pipeline_subdir
But it does not care about ses-yy at the moment. | [
"Note",
"-----"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L514-L538 | train | This function returns a list of all the directories that are in the pipeline. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(2885 - 2774) + chr(0b110001) + chr(49) + chr(0b11111 + 0o25), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(1922 - 1867) + chr(2248 - 2199), 5482 - 5474), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b1100 + 0o45) + chr(1871 - 1818) + chr(0b101100 + 0o11), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + '\x36' + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + chr(1224 - 1174) + chr(51) + chr(0b100100 + 0o16), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\x31' + chr(0b11101 + 0o27) + '\x37', 17791 - 17783), nzTpIcepk0o8(chr(48) + '\x6f' + chr(55), 0o10), nzTpIcepk0o8('\060' + chr(0b111101 + 0o62) + '\x31' + chr(0b110100) + '\064', 45892 - 45884), nzTpIcepk0o8(chr(545 - 497) + '\157' + '\x32' + chr(1284 - 1233) + '\x31', 39467 - 39459), nzTpIcepk0o8('\x30' + chr(6049 - 5938) + '\061' + chr(2816 - 2761) + chr(1218 - 1166), 50390 - 50382), nzTpIcepk0o8(chr(48) + '\157' + chr(49) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b1010 + 0o50) + chr(50) + chr(0b110001), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b110101 + 0o72) + chr(742 - 691) + chr(55) + '\x34', 40814 - 40806), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b101100 + 0o6) + chr(0b110000) + chr(0b110000), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(1306 - 1256) + chr(48) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110010) + chr(221 - 169) + chr(0b110000), 11007 - 10999), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(0b110001) + chr(0b11101 + 0o26), 0o10), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(111) + chr(0b110011) + '\065' + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(0b1010101 + 0o32) + chr(54) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(319 - 271) + chr(1143 - 1032) + chr(50) + '\x31', 2127 - 2119), nzTpIcepk0o8(chr(1358 - 1310) + '\157' + '\x31' + chr(163 - 108) + chr(0b110011), 30660 - 30652), nzTpIcepk0o8(chr(48) + '\x6f' + '\x33' + chr(0b110111), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31' + chr(0b11001 + 0o32) + '\062', 5790 - 5782), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(50) + chr(1964 - 1914), 17506 - 17498), nzTpIcepk0o8(chr(48) + chr(5337 - 5226) + chr(51) + '\x35' + chr(49), 0b1000), nzTpIcepk0o8(chr(0b10 + 0o56) + chr(0b1101111) + chr(2099 - 2049) + chr(1441 - 1386) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + chr(914 - 866) + '\x32', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b110011) + chr(0b101011 + 0o10) + chr(55), 45024 - 45016), nzTpIcepk0o8(chr(48) + chr(0b1000101 + 0o52) + '\x31' + '\063' + chr(0b110011 + 0o4), ord("\x08")), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(1675 - 1564) + chr(50) + chr(0b100000 + 0o22) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(5599 - 5488) + chr(51) + chr(0b101000 + 0o16) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + chr(2980 - 2869) + chr(0b110011) + chr(0b110111) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(1324 - 1275) + chr(55), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110100) + chr(52), 7316 - 7308), nzTpIcepk0o8(chr(0b110000) + chr(0b1000111 + 0o50) + chr(51) + '\065' + chr(51), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\x32' + '\061' + '\x37', 0o10), nzTpIcepk0o8(chr(109 - 61) + chr(9490 - 9379) + chr(50) + '\x34' + '\x31', ord("\x08")), nzTpIcepk0o8(chr(1309 - 1261) + '\157' + '\063' + chr(0b10011 + 0o37) + chr(52), 0o10), nzTpIcepk0o8(chr(387 - 339) + chr(6731 - 6620) + '\x33' + chr(0b110001) + chr(0b110111), 52924 - 52916), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(111) + chr(0b10100 + 0o42) + chr(1046 - 992), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + chr(1950 - 1897) + chr(158 - 110), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'b'), chr(0b1011 + 0o131) + chr(101) + '\x63' + chr(7875 - 7764) + chr(100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(0b11 + 0o65)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def EQDm5ZHXmjkp(hXMPsSrOQzbh, lH4M2yZsqrSS=nzTpIcepk0o8(chr(48) + '\x6f' + '\060', ord("\x08"))):
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'<\x90\x1d\x92\xf6\x0ei\x01'), chr(100) + chr(101) + chr(0b1010 + 0o131) + chr(0b1101111) + chr(100) + chr(0b110100 + 0o61))('\x75' + chr(0b1110100) + '\x66' + chr(718 - 673) + '\x38')):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b"\x1c\x95\x08\x96\xe9\x02'\x17\xfc\x08)\xe1\x95\xf0\xe1\xcc\xe2\x83S1\x1dv(!\x9d\x92"), '\144' + '\x65' + '\143' + chr(0b11111 + 0o120) + chr(0b1000110 + 0o36) + chr(7503 - 7402))('\x75' + '\164' + '\x66' + '\x2d' + chr(0b111000)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'+\x9c\x19\xa8\xea\x0ew\x01\xf5\x15g\xf4\xa3\xe1\xe8\xd4\xee\x9fXp\x0fv,7\x9a'), chr(1452 - 1352) + chr(8630 - 8529) + '\x63' + '\157' + chr(0b1100100) + chr(101))('\x75' + chr(116) + '\146' + chr(1630 - 1585) + chr(0b110111 + 0o1)))()
else:
ZDKPpBVg32xU = []
for PmE5_h409JAA in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'.\x90\t\x84\xc5\x13f\x03\xea'), chr(100) + '\145' + chr(0b11010 + 0o111) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + chr(10849 - 10733) + '\146' + '\055' + chr(1539 - 1483)))[roI3spqORKae(ES5oEprVxulp(b'?\x8c\x0f'), '\x64' + '\x65' + chr(0b1000101 + 0o36) + '\157' + '\144' + '\145')(chr(0b1001 + 0o154) + chr(0b1100101 + 0o17) + chr(7308 - 7206) + '\x2d' + chr(1079 - 1023))]:
hx5SIclYSzEz = aHUqKstZLeS6.listdir(hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'c\x9d\x08\x85\xf3\x11f\x10\xf0\nl\xe2\xd3'), chr(100) + chr(0b1100101) + chr(99) + '\157' + '\144' + '\x65')(chr(117) + chr(0b110100 + 0o100) + chr(0b1100110) + chr(0b1001 + 0o44) + chr(0b111000)) + hXMPsSrOQzbh.pipeline + roI3spqORKae(ES5oEprVxulp(b'c\x8a\x18\x95\xb7'), '\144' + '\x65' + '\x63' + chr(0b10100 + 0o133) + '\144' + chr(101))(chr(117) + '\164' + chr(102) + chr(0b1001 + 0o44) + '\x38') + PmE5_h409JAA + roI3spqORKae(ES5oEprVxulp(b'c\x9f\x18\x99\xf9H'), '\144' + chr(0b110011 + 0o62) + chr(9275 - 9176) + '\157' + chr(0b11 + 0o141) + chr(0b1100101))('\165' + chr(0b1110100) + chr(5983 - 5881) + '\x2d' + '\x38'))
ZDKPpBVg32xU += [_R8IKF5IwAfX for _R8IKF5IwAfX in hx5SIclYSzEz if aHUqKstZLeS6.path.XhP1ZtB9aQzB(hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'c\x9d\x08\x85\xf3\x11f\x10\xf0\nl\xe2\xd3'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(100) + '\145')('\165' + chr(8658 - 8542) + chr(10343 - 10241) + chr(156 - 111) + chr(0b111000)) + hXMPsSrOQzbh.pipeline + roI3spqORKae(ES5oEprVxulp(b'c\x8a\x18\x95\xb7'), '\x64' + chr(101) + chr(0b1011 + 0o130) + '\x6f' + '\144' + chr(0b11101 + 0o110))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + '\070') + PmE5_h409JAA + roI3spqORKae(ES5oEprVxulp(b'c\x9f\x18\x99\xf9H'), '\x64' + chr(0b1100101) + chr(4283 - 4184) + chr(0b1101111) + chr(0b1000000 + 0o44) + '\x65')(chr(0b1100000 + 0o25) + '\164' + chr(102) + '\x2d' + chr(56)) + _R8IKF5IwAfX)]
ZDKPpBVg32xU = Bvi71nNyvlqO(ZDKPpBVg32xU)
if lH4M2yZsqrSS == nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110000), 8):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b"\x1c\x90\x1d\x92\xf6\x0ei\x01\xc6\x0f|\xf3\x98\xe9\xf6\x80\xea\x81Bt\tq;&\x80\xca'\xace\xb3"), chr(100) + '\145' + chr(99) + chr(0b1010111 + 0o30) + chr(0b1100100) + '\145')(chr(7393 - 7276) + '\164' + chr(0b1100110) + chr(1434 - 1389) + '\070') + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'`\xd9'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(0b1010101 + 0o17) + chr(101))('\165' + '\x74' + chr(0b110000 + 0o66) + chr(0b101101) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\x15\xcd\x14\xba\xa3%d\x02\xcd?G\xe0'), '\144' + '\145' + '\x63' + chr(6707 - 6596) + '\x64' + chr(0b10000 + 0o125))(chr(117) + chr(0b1110011 + 0o1) + chr(410 - 308) + chr(0b11111 + 0o16) + chr(56)))(ZDKPpBVg32xU))
return H4NoA26ON7iG(ZDKPpBVg32xU) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.get_selected_files | def get_selected_files(self, pipeline='pipeline', forfile=None, quiet=0, allowedfileformats='default'):
"""
Parameters
----------
pipeline : string
can be \'pipeline\' (main analysis pipeline, self in tnet.set_pipeline) or \'confound\' (where confound files are, set in tnet.set_confonud_pipeline()),
\'functionalconnectivity\'
quiet: int
If 1, prints results. If 0, no results printed.
forfile : str or dict
A filename or dictionary of file tags. If this is set, only files that match that subject
accepted_fileformat : list
list of files formats that are acceptable. Default list is: ['.tsv', '.nii.gz']
Returns
-------
found_files : list
The files which are currently selected with the current using the set pipeline, pipeline_subdir, space, parcellation, tasks, runs, subjects etc. There are the files that will generally be used if calling a make_ function.
"""
# This could be mnade better
file_dict = dict(self.bids_tags)
if allowedfileformats == 'default':
allowedfileformats = ['.tsv', '.nii.gz']
if forfile:
if isinstance(forfile, str):
forfile = get_bids_tag(forfile, 'all')
for n in forfile.keys():
file_dict[n] = [forfile[n]]
non_entries = []
for n in file_dict:
if not file_dict[n]:
non_entries.append(n)
for n in non_entries:
file_dict.pop(n)
# Only keep none empty elemenets
file_components = []
for k in ['sub', 'ses', 'task', 'run']:
if k in file_dict:
file_components.append([k + '-' + t for t in file_dict[k]])
file_list = list(itertools.product(*file_components))
# Specify main directory
if pipeline == 'pipeline':
mdir = self.BIDS_dir + '/derivatives/' + self.pipeline
elif pipeline == 'confound' and self.confound_pipeline:
mdir = self.BIDS_dir + '/derivatives/' + self.confound_pipeline
elif pipeline == 'confound':
mdir = self.BIDS_dir + '/derivatives/' + self.pipeline
elif pipeline == 'functionalconnectivity':
mdir = self.BIDS_dir + '/derivatives/teneto_' + teneto.__version__
else:
raise ValueError('unknown request')
found_files = []
for f in file_list:
wdir = str(mdir)
sub = [t for t in f if t.startswith('sub')]
ses = [t for t in f if t.startswith('ses')]
wdir += '/' + sub[0] + '/'
if ses:
wdir += '/' + ses[0] + '/'
wdir += '/func/'
if pipeline == 'pipeline':
wdir += '/' + self.pipeline_subdir + '/'
fileending = [self.bids_suffix +
f for f in allowedfileformats]
elif pipeline == 'functionalconnectivity':
wdir += '/fc/'
fileending = ['conn' + f for f in allowedfileformats]
elif pipeline == 'confound':
fileending = ['confounds' + f for f in allowedfileformats]
if os.path.exists(wdir):
# make filenames
found = []
# Check that the tags are in the specified bids tags
for ff in os.listdir(wdir):
ftags = get_bids_tag(ff, 'all')
t = [t for t in ftags if t in file_dict and ftags[t]
in file_dict[t]]
if len(t) == len(file_dict):
found.append(ff)
found = [f for f in found for e in fileending if f.endswith(e)]
# Include only if all analysis step tags are present
# Exclude if confounds tag is present
if pipeline == 'confound':
found = [i for i in found if '_confounds' in i]
else:
found = [i for i in found if '_confounds' not in i]
# Make full paths
found = list(
map(str.__add__, [re.sub('/+', '/', wdir)]*len(found), found))
# Remove any files in bad files (could add json subcar reading here)
found = [i for i in found if not any(
[bf in i for bf in self.bad_files])]
if found:
found_files += found
if quiet == -1:
print(wdir)
found_files = list(set(found_files))
if quiet == 0:
print(found_files)
return found_files | python | def get_selected_files(self, pipeline='pipeline', forfile=None, quiet=0, allowedfileformats='default'):
"""
Parameters
----------
pipeline : string
can be \'pipeline\' (main analysis pipeline, self in tnet.set_pipeline) or \'confound\' (where confound files are, set in tnet.set_confonud_pipeline()),
\'functionalconnectivity\'
quiet: int
If 1, prints results. If 0, no results printed.
forfile : str or dict
A filename or dictionary of file tags. If this is set, only files that match that subject
accepted_fileformat : list
list of files formats that are acceptable. Default list is: ['.tsv', '.nii.gz']
Returns
-------
found_files : list
The files which are currently selected with the current using the set pipeline, pipeline_subdir, space, parcellation, tasks, runs, subjects etc. There are the files that will generally be used if calling a make_ function.
"""
# This could be mnade better
file_dict = dict(self.bids_tags)
if allowedfileformats == 'default':
allowedfileformats = ['.tsv', '.nii.gz']
if forfile:
if isinstance(forfile, str):
forfile = get_bids_tag(forfile, 'all')
for n in forfile.keys():
file_dict[n] = [forfile[n]]
non_entries = []
for n in file_dict:
if not file_dict[n]:
non_entries.append(n)
for n in non_entries:
file_dict.pop(n)
# Only keep none empty elemenets
file_components = []
for k in ['sub', 'ses', 'task', 'run']:
if k in file_dict:
file_components.append([k + '-' + t for t in file_dict[k]])
file_list = list(itertools.product(*file_components))
# Specify main directory
if pipeline == 'pipeline':
mdir = self.BIDS_dir + '/derivatives/' + self.pipeline
elif pipeline == 'confound' and self.confound_pipeline:
mdir = self.BIDS_dir + '/derivatives/' + self.confound_pipeline
elif pipeline == 'confound':
mdir = self.BIDS_dir + '/derivatives/' + self.pipeline
elif pipeline == 'functionalconnectivity':
mdir = self.BIDS_dir + '/derivatives/teneto_' + teneto.__version__
else:
raise ValueError('unknown request')
found_files = []
for f in file_list:
wdir = str(mdir)
sub = [t for t in f if t.startswith('sub')]
ses = [t for t in f if t.startswith('ses')]
wdir += '/' + sub[0] + '/'
if ses:
wdir += '/' + ses[0] + '/'
wdir += '/func/'
if pipeline == 'pipeline':
wdir += '/' + self.pipeline_subdir + '/'
fileending = [self.bids_suffix +
f for f in allowedfileformats]
elif pipeline == 'functionalconnectivity':
wdir += '/fc/'
fileending = ['conn' + f for f in allowedfileformats]
elif pipeline == 'confound':
fileending = ['confounds' + f for f in allowedfileformats]
if os.path.exists(wdir):
# make filenames
found = []
# Check that the tags are in the specified bids tags
for ff in os.listdir(wdir):
ftags = get_bids_tag(ff, 'all')
t = [t for t in ftags if t in file_dict and ftags[t]
in file_dict[t]]
if len(t) == len(file_dict):
found.append(ff)
found = [f for f in found for e in fileending if f.endswith(e)]
# Include only if all analysis step tags are present
# Exclude if confounds tag is present
if pipeline == 'confound':
found = [i for i in found if '_confounds' in i]
else:
found = [i for i in found if '_confounds' not in i]
# Make full paths
found = list(
map(str.__add__, [re.sub('/+', '/', wdir)]*len(found), found))
# Remove any files in bad files (could add json subcar reading here)
found = [i for i in found if not any(
[bf in i for bf in self.bad_files])]
if found:
found_files += found
if quiet == -1:
print(wdir)
found_files = list(set(found_files))
if quiet == 0:
print(found_files)
return found_files | [
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"."... | Parameters
----------
pipeline : string
can be \'pipeline\' (main analysis pipeline, self in tnet.set_pipeline) or \'confound\' (where confound files are, set in tnet.set_confonud_pipeline()),
\'functionalconnectivity\'
quiet: int
If 1, prints results. If 0, no results printed.
forfile : str or dict
A filename or dictionary of file tags. If this is set, only files that match that subject
accepted_fileformat : list
list of files formats that are acceptable. Default list is: ['.tsv', '.nii.gz']
Returns
-------
found_files : list
The files which are currently selected with the current using the set pipeline, pipeline_subdir, space, parcellation, tasks, runs, subjects etc. There are the files that will generally be used if calling a make_ function. | [
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... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L540-L648 | train | Returns a list of all files currently selected with the current analysis pipeline. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(48) + chr(0b1101 + 0o142) + chr(2043 - 1992) + chr(50) + chr(251 - 196), 0o10), nzTpIcepk0o8('\x30' + chr(0b100001 + 0o116) + '\066', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(1278 - 1229) + chr(49), 0o10), nzTpIcepk0o8(chr(779 - 731) + chr(11744 - 11633) + '\x33' + chr(0b1110 + 0o43) + chr(2062 - 2009), 49297 - 49289), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(0b111011 + 0o64) + chr(0b11011 + 0o30) + chr(0b10010 + 0o40) + chr(0b110101), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100001 + 0o22) + '\x35' + chr(0b101101 + 0o10), 51076 - 51068), nzTpIcepk0o8(chr(48) + chr(4587 - 4476) + '\061' + chr(2230 - 2176) + '\x35', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + chr(0b110000) + chr(387 - 332), 1297 - 1289), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + chr(0b100100 + 0o15) + '\x35', 0o10), nzTpIcepk0o8(chr(48) + chr(0b11011 + 0o124) + chr(0b110011) + chr(54) + chr(0b100110 + 0o12), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\x32' + '\x31', 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(111) + chr(0b100111 + 0o14) + '\x32' + chr(0b110000), 0o10), nzTpIcepk0o8('\060' + '\157' + '\x35' + chr(53), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111 + 0o0) + chr(1604 - 1554) + chr(50) + '\x31', 0o10), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + '\x32' + '\x31' + '\x32', ord("\x08")), nzTpIcepk0o8('\x30' + chr(2730 - 2619) + chr(1083 - 1033) + '\x33' + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b101101 + 0o3) + chr(53), 44938 - 44930), nzTpIcepk0o8(chr(1848 - 1800) + chr(111) + '\063' + chr(55) + chr(0b100001 + 0o25), 53118 - 53110), nzTpIcepk0o8(chr(0b10110 + 0o32) + chr(6994 - 6883) + chr(0b10000 + 0o42) + chr(0b11111 + 0o25) + chr(1880 - 1831), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110011) + chr(0b110010) + chr(262 - 211), 19906 - 19898), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(51) + '\x32' + chr(0b110101), 8), nzTpIcepk0o8(chr(528 - 480) + '\157' + chr(0b110011) + '\063' + '\x37', ord("\x08")), nzTpIcepk0o8('\060' + chr(10662 - 10551) + chr(520 - 470), 0o10), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b10101 + 0o132) + '\x31' + chr(50) + chr(0b10100 + 0o34), ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100110 + 0o14) + chr(50) + chr(343 - 295), 2401 - 2393), nzTpIcepk0o8('\x30' + chr(111) + chr(51) + chr(50) + chr(1122 - 1073), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1010 + 0o145) + '\x34' + chr(0b101010 + 0o6), 60888 - 60880), nzTpIcepk0o8(chr(48) + '\157' + '\062' + chr(1380 - 1329) + '\x33', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b111000 + 0o67) + chr(0b100010 + 0o21) + chr(52) + chr(52), 2651 - 2643), nzTpIcepk0o8('\060' + '\x6f' + chr(1056 - 1007) + chr(0b1 + 0o62) + chr(55), 0o10), nzTpIcepk0o8('\060' + chr(3078 - 2967) + chr(0b110011) + chr(52) + chr(2085 - 2037), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1011011 + 0o24) + chr(0b110001) + '\x30' + chr(48), ord("\x08")), nzTpIcepk0o8(chr(1163 - 1115) + '\157' + '\062' + '\x37' + '\067', 0b1000), nzTpIcepk0o8(chr(0b100011 + 0o15) + '\157' + chr(50) + chr(0b10100 + 0o36) + chr(0b101110 + 0o4), 0o10), nzTpIcepk0o8(chr(0b101010 + 0o6) + chr(111) + chr(51) + chr(1998 - 1944) + '\060', 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b100111 + 0o13) + chr(52) + chr(0b110011), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(1069 - 1017) + chr(48), 8), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(6829 - 6718) + '\063' + '\067' + chr(567 - 519), ord("\x08")), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b1101111) + '\061' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b11010 + 0o26) + '\x6f' + chr(0b110100) + '\064', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(3952 - 3841) + chr(53) + '\x30', 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xf9'), chr(100) + chr(1957 - 1856) + chr(99) + chr(111) + chr(8182 - 8082) + '\x65')(chr(117) + chr(116) + '\x66' + '\x2d' + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def bvNH7iJibmSF(hXMPsSrOQzbh, mh2EOTqBBBbo=roI3spqORKae(ES5oEprVxulp(b'\xa7oy\xa8\xb9\x84\x1b\xa2'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(5414 - 5312) + chr(45) + '\x38'), S94j7bh1NG1P=None, lH4M2yZsqrSS=nzTpIcepk0o8('\x30' + '\157' + '\060', 0b1000), n8koCrNdYpkM=roI3spqORKae(ES5oEprVxulp(b'\xb3co\xac\xa0\x81\x01'), chr(100) + '\x65' + chr(0b1100011) + chr(0b11000 + 0o127) + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + '\146' + chr(0b101101) + chr(0b111000))):
ixSAarMx2Puz = znjnJWK64FDT(hXMPsSrOQzbh.bids_tags)
if n8koCrNdYpkM == roI3spqORKae(ES5oEprVxulp(b'\xb3co\xac\xa0\x81\x01'), chr(0b1100100) + chr(0b1011010 + 0o13) + chr(0b1001010 + 0o31) + chr(0b1101111) + '\x64' + '\x65')(chr(8507 - 8390) + chr(0b1110100) + chr(0b101 + 0o141) + chr(0b10010 + 0o33) + chr(0b111000)):
n8koCrNdYpkM = [roI3spqORKae(ES5oEprVxulp(b'\xf9rz\xbb'), '\x64' + chr(4814 - 4713) + chr(563 - 464) + chr(0b110100 + 0o73) + chr(0b1100100) + '\145')(chr(0b110101 + 0o100) + '\164' + '\146' + chr(0b101101) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xf9h`\xa4\xfb\x8a\x0f'), chr(0b1100100) + chr(3905 - 3804) + '\x63' + '\157' + chr(0b111001 + 0o53) + chr(101))(chr(0b1111 + 0o146) + chr(116) + chr(3512 - 3410) + chr(0b1001 + 0o44) + chr(0b101 + 0o63))]
if S94j7bh1NG1P:
if suIjIS24Zkqw(S94j7bh1NG1P, N9zlRy29S1SS):
S94j7bh1NG1P = Zc48qyjAPWiZ(S94j7bh1NG1P, roI3spqORKae(ES5oEprVxulp(b'\xb6je'), chr(0b1000001 + 0o43) + '\x65' + chr(5088 - 4989) + chr(5851 - 5740) + chr(9394 - 9294) + '\145')(chr(206 - 89) + chr(116) + chr(0b1100110) + '\055' + chr(2770 - 2714)))
for NoZxuO7wjArS in roI3spqORKae(S94j7bh1NG1P, roI3spqORKae(ES5oEprVxulp(b'\xbccp\xbe'), chr(100) + chr(0b1100101) + '\143' + chr(1974 - 1863) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + '\055' + '\x38'))():
ixSAarMx2Puz[NoZxuO7wjArS] = [S94j7bh1NG1P[NoZxuO7wjArS]]
brGUBSiNsmPJ = []
for NoZxuO7wjArS in ixSAarMx2Puz:
if not ixSAarMx2Puz[NoZxuO7wjArS]:
roI3spqORKae(brGUBSiNsmPJ, roI3spqORKae(ES5oEprVxulp(b'\x9fRZ\xf9\xad\x8a2\xa8\xe7\x9fD\xe5'), '\144' + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(7731 - 7631) + '\145')('\165' + chr(0b1110100) + chr(5204 - 5102) + '\055' + chr(0b111000)))(NoZxuO7wjArS)
for NoZxuO7wjArS in brGUBSiNsmPJ:
roI3spqORKae(ixSAarMx2Puz, roI3spqORKae(ES5oEprVxulp(b'\xa2EV\x94\xba\x94\x17\xbf\xba\xba!\x99'), chr(100) + chr(101) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(0b1011000 + 0o35) + '\x74' + chr(0b1100110) + chr(76 - 31) + '\070'))(NoZxuO7wjArS)
b0hg8cO74IDr = []
for B6UAF1zReOyJ in [roI3spqORKae(ES5oEprVxulp(b'\xa4sk'), chr(100) + '\x65' + chr(815 - 716) + chr(0b111011 + 0o64) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1101110 + 0o6) + '\x66' + chr(0b101010 + 0o3) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\xa4cz'), chr(0b100001 + 0o103) + chr(5518 - 5417) + chr(0b1100011) + chr(0b1100100 + 0o13) + '\x64' + '\145')('\165' + chr(0b1110100) + chr(0b1100110) + chr(867 - 822) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xa3gz\xa6'), chr(7938 - 7838) + chr(1710 - 1609) + chr(99) + '\x6f' + chr(0b1010101 + 0o17) + chr(5074 - 4973))(chr(0b111010 + 0o73) + chr(0b11111 + 0o125) + '\146' + chr(2007 - 1962) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xa5sg'), chr(2862 - 2762) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100010 + 0o2) + chr(5257 - 5156))(chr(0b1001010 + 0o53) + chr(116) + '\x66' + chr(45) + chr(56))]:
if B6UAF1zReOyJ in ixSAarMx2Puz:
roI3spqORKae(b0hg8cO74IDr, roI3spqORKae(ES5oEprVxulp(b'\x9fRZ\xf9\xad\x8a2\xa8\xe7\x9fD\xe5'), chr(6830 - 6730) + '\x65' + chr(0b1100011) + chr(0b101011 + 0o104) + '\144' + chr(2869 - 2768))(chr(0b1001101 + 0o50) + '\164' + '\x66' + chr(453 - 408) + chr(0b111000)))([B6UAF1zReOyJ + roI3spqORKae(ES5oEprVxulp(b'\xfa'), chr(0b1100100) + '\145' + '\x63' + '\x6f' + chr(0b10110 + 0o116) + chr(0b1001110 + 0o27))('\x75' + '\x74' + chr(0b1100110) + chr(0b1010 + 0o43) + chr(0b111000)) + h3Vc_4wxEbgd for h3Vc_4wxEbgd in ixSAarMx2Puz[B6UAF1zReOyJ]])
qmm64CW5gtzv = H4NoA26ON7iG(Tgki_5Gr1fIS.product(*b0hg8cO74IDr))
if mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xa7oy\xa8\xb9\x84\x1b\xa2'), '\x64' + '\145' + '\143' + chr(0b110101 + 0o72) + '\144' + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(1924 - 1879) + '\070'):
tesRxyvNElos = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xf8bl\xbf\xbc\x9b\x14\xb3\xe4\x86t\xa3\x02'), '\x64' + '\x65' + '\143' + '\157' + chr(0b101001 + 0o73) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(45) + '\070') + hXMPsSrOQzbh.pipeline
elif mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3'), chr(100) + '\x65' + chr(99) + chr(0b1100101 + 0o12) + chr(6355 - 6255) + chr(0b1100101))(chr(0b100000 + 0o125) + chr(0b1110100) + chr(6219 - 6117) + chr(0b1001 + 0o44) + '\x38') and roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3\xd2\x80x\xa0H\xfd\xe3\xf2 '), chr(0b1100100) + chr(2700 - 2599) + chr(0b110011 + 0o60) + chr(4611 - 4500) + chr(100) + chr(0b10101 + 0o120))(chr(10910 - 10793) + chr(0b1110100) + chr(10106 - 10004) + '\055' + chr(0b10101 + 0o43))):
tesRxyvNElos = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xf8bl\xbf\xbc\x9b\x14\xb3\xe4\x86t\xa3\x02'), chr(0b1100100) + chr(0b110100 + 0o61) + chr(0b10001 + 0o122) + chr(6450 - 6339) + '\144' + '\x65')('\x75' + chr(0b100110 + 0o116) + chr(0b1100110) + chr(0b101101) + '\x38') + hXMPsSrOQzbh.confound_pipeline
elif mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3'), '\144' + chr(0b111 + 0o136) + chr(7103 - 7004) + chr(3504 - 3393) + chr(0b1001011 + 0o31) + '\x65')(chr(0b1110101) + chr(1207 - 1091) + chr(0b111010 + 0o54) + chr(0b11011 + 0o22) + chr(0b110001 + 0o7)):
tesRxyvNElos = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xf8bl\xbf\xbc\x9b\x14\xb3\xe4\x86t\xa3\x02'), chr(9206 - 9106) + chr(0b1011 + 0o132) + '\143' + chr(4327 - 4216) + '\x64' + chr(101))(chr(0b1110101 + 0o0) + chr(11515 - 11399) + chr(102) + chr(0b101101) + '\070') + hXMPsSrOQzbh.pipeline
elif mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb1sg\xae\xa1\x84\x1a\xa9\xec\x9cr\xbfC\xff\xef\xff1\x97\xd7\xba\xa1\xa6'), chr(0b11011 + 0o111) + chr(0b11110 + 0o107) + chr(99) + chr(0b1000 + 0o147) + chr(0b111011 + 0o51) + chr(6895 - 6794))('\165' + '\x74' + '\146' + chr(0b101101) + chr(0b11011 + 0o35)):
tesRxyvNElos = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'\xf8bl\xbf\xbc\x9b\x14\xb3\xe4\x86t\xa3\x02\xe5\xef\xf2 \x8a\xce\x8c'), '\144' + chr(548 - 447) + chr(99) + chr(111) + '\x64' + chr(6624 - 6523))(chr(0b1110101) + chr(116) + chr(102) + chr(0b101101) + '\070') + mfNgQb_vYBmS.__version__
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xa2hb\xa3\xba\x9a\x1b\xe7\xff\x95`\xa5H\xe2\xfe'), '\144' + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(1319 - 1218))(chr(0b1110101) + chr(0b101111 + 0o105) + '\x66' + chr(0b100001 + 0o14) + '\x38'))
ZFdvSCA5Lj6o = []
for _R8IKF5IwAfX in qmm64CW5gtzv:
WZdarbKxyewi = N9zlRy29S1SS(tesRxyvNElos)
_zPndKq6xMgp = [h3Vc_4wxEbgd for h3Vc_4wxEbgd in _R8IKF5IwAfX if h3Vc_4wxEbgd.startswith(roI3spqORKae(ES5oEprVxulp(b'\xa4sk'), '\x64' + chr(0b110011 + 0o62) + '\143' + chr(2280 - 2169) + chr(8409 - 8309) + chr(9557 - 9456))(chr(117) + '\x74' + '\x66' + '\055' + chr(2928 - 2872)))]
LNN9qrHjlF1s = [h3Vc_4wxEbgd for h3Vc_4wxEbgd in _R8IKF5IwAfX if h3Vc_4wxEbgd.startswith(roI3spqORKae(ES5oEprVxulp(b'\xa4cz'), chr(100) + chr(8408 - 8307) + chr(0b111100 + 0o47) + chr(0b1101111) + chr(0b1010110 + 0o16) + '\145')('\165' + chr(116) + '\x66' + '\x2d' + chr(1905 - 1849)))]
WZdarbKxyewi += roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(8189 - 8089) + chr(0b1100101) + '\x63' + chr(0b1011000 + 0o27) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b11100 + 0o21) + '\070') + _zPndKq6xMgp[nzTpIcepk0o8(chr(0b110000) + chr(5648 - 5537) + '\060', 8)] + roI3spqORKae(ES5oEprVxulp(b'\xf8'), '\x64' + chr(6374 - 6273) + '\x63' + chr(111) + chr(100) + '\x65')('\165' + '\164' + chr(102) + chr(45) + '\070')
if LNN9qrHjlF1s:
WZdarbKxyewi += roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(9843 - 9743) + chr(101) + chr(1114 - 1015) + chr(10344 - 10233) + chr(0b1100100) + chr(6608 - 6507))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(0b1000 + 0o45) + chr(967 - 911)) + LNN9qrHjlF1s[nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(0b1101111) + '\x30', 8)] + roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(7345 - 7245) + chr(0b101110 + 0o67) + '\143' + chr(0b1001001 + 0o46) + '\x64' + chr(3879 - 3778))('\x75' + chr(8387 - 8271) + chr(102) + chr(0b101101) + chr(0b111000))
WZdarbKxyewi += roI3spqORKae(ES5oEprVxulp(b'\xf8`|\xa3\xb6\xc2'), chr(0b1100100) + chr(959 - 858) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')('\x75' + chr(0b1101000 + 0o14) + chr(0b1100110) + chr(1385 - 1340) + '\070')
if mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xa7oy\xa8\xb9\x84\x1b\xa2'), '\144' + chr(8049 - 7948) + chr(0b1100011) + chr(0b110001 + 0o76) + chr(100) + '\x65')(chr(0b100110 + 0o117) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(2263 - 2207)):
WZdarbKxyewi += roI3spqORKae(ES5oEprVxulp(b'\xf8'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(8642 - 8541))(chr(0b1110100 + 0o1) + '\x74' + chr(2076 - 1974) + chr(0b101101) + chr(0b111000)) + hXMPsSrOQzbh.pipeline_subdir + roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(0b1000100 + 0o40) + chr(0b1010010 + 0o23))(chr(0b1000100 + 0o61) + chr(0b1001100 + 0o50) + chr(7913 - 7811) + '\x2d' + chr(789 - 733))
T1_EsjWM4ODm = [hXMPsSrOQzbh.bids_suffix + _R8IKF5IwAfX for _R8IKF5IwAfX in n8koCrNdYpkM]
elif mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb1sg\xae\xa1\x84\x1a\xa9\xec\x9cr\xbfC\xff\xef\xff1\x97\xd7\xba\xa1\xa6'), '\144' + '\x65' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(102) + chr(994 - 949) + chr(0b100100 + 0o24)):
WZdarbKxyewi += roI3spqORKae(ES5oEprVxulp(b'\xf8`j\xe2'), chr(0b1 + 0o143) + '\x65' + chr(0b1011000 + 0o13) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\164' + chr(4293 - 4191) + chr(45) + chr(56))
T1_EsjWM4ODm = [roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xa3'), '\144' + '\145' + chr(0b1100011) + chr(10199 - 10088) + chr(0b1000011 + 0o41) + chr(0b100000 + 0o105))(chr(3993 - 3876) + chr(116) + '\146' + chr(0b101101 + 0o0) + chr(0b110011 + 0o5)) + _R8IKF5IwAfX for _R8IKF5IwAfX in n8koCrNdYpkM]
elif mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3'), chr(0b1100100 + 0o0) + '\145' + '\x63' + chr(0b1 + 0o156) + chr(0b1000100 + 0o40) + chr(0b1100010 + 0o3))('\165' + chr(116) + chr(9411 - 9309) + '\x2d' + chr(77 - 21)):
T1_EsjWM4ODm = [roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3\xfe'), '\x64' + '\145' + chr(0b110100 + 0o57) + chr(0b1101111) + '\144' + '\145')(chr(117) + '\x74' + chr(0b1100110) + '\055' + chr(0b111000)) + _R8IKF5IwAfX for _R8IKF5IwAfX in n8koCrNdYpkM]
if roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\xadU@\xb4\xbb\xbd\x00\x82\xfb\x9c@\xe4'), '\144' + chr(0b1100101) + '\143' + chr(0b1101111) + '\x64' + chr(6658 - 6557))(chr(117) + chr(116) + chr(0b110010 + 0o64) + '\055' + chr(56)))(WZdarbKxyewi):
yGnyZM4lBnhJ = []
for ocwSuuo6Mk0z in roI3spqORKae(aHUqKstZLeS6, roI3spqORKae(ES5oEprVxulp(b'\xbboz\xb9\xb1\x84\x07'), chr(0b1011001 + 0o13) + '\x65' + '\x63' + '\x6f' + chr(0b11010 + 0o112) + chr(0b11101 + 0o110))(chr(6695 - 6578) + chr(0b111001 + 0o73) + chr(0b1100110) + '\055' + chr(56)))(WZdarbKxyewi):
NXpnAW6QleBe = Zc48qyjAPWiZ(ocwSuuo6Mk0z, roI3spqORKae(ES5oEprVxulp(b'\xb6je'), chr(8218 - 8118) + '\x65' + chr(99) + '\157' + chr(0b1110 + 0o126) + '\145')(chr(0b10000 + 0o145) + '\x74' + chr(0b1000100 + 0o42) + chr(0b101101) + '\070'))
h3Vc_4wxEbgd = [h3Vc_4wxEbgd for h3Vc_4wxEbgd in NXpnAW6QleBe if h3Vc_4wxEbgd in ixSAarMx2Puz and NXpnAW6QleBe[h3Vc_4wxEbgd] in ixSAarMx2Puz[h3Vc_4wxEbgd]]
if ftfygxgFas5X(h3Vc_4wxEbgd) == ftfygxgFas5X(ixSAarMx2Puz):
roI3spqORKae(yGnyZM4lBnhJ, roI3spqORKae(ES5oEprVxulp(b'\x9fRZ\xf9\xad\x8a2\xa8\xe7\x9fD\xe5'), chr(1891 - 1791) + '\145' + '\x63' + chr(111) + chr(100) + chr(2786 - 2685))(chr(0b1110101) + chr(116) + '\146' + '\055' + chr(0b111000)))(ocwSuuo6Mk0z)
yGnyZM4lBnhJ = [_R8IKF5IwAfX for _R8IKF5IwAfX in yGnyZM4lBnhJ for wgf0sgcu_xPL in T1_EsjWM4ODm if _R8IKF5IwAfX.I9fKICALauJr(wgf0sgcu_xPL)]
if mh2EOTqBBBbo == roI3spqORKae(ES5oEprVxulp(b'\xb4ig\xab\xba\x98\x1b\xa3'), '\x64' + '\145' + '\143' + chr(0b100010 + 0o115) + '\x64' + chr(101))(chr(0b1110101) + chr(0b111101 + 0o67) + chr(2735 - 2633) + chr(0b101101) + chr(0b111000)):
yGnyZM4lBnhJ = [ZlbFMSG8gCoF for ZlbFMSG8gCoF in yGnyZM4lBnhJ if roI3spqORKae(ES5oEprVxulp(b'\x88ef\xa3\xb3\x82\x00\xa9\xe9\x83'), chr(375 - 275) + chr(0b1001111 + 0o26) + chr(6264 - 6165) + chr(111) + chr(100) + '\x65')('\165' + '\164' + '\x66' + '\x2d' + chr(1760 - 1704)) in ZlbFMSG8gCoF]
else:
yGnyZM4lBnhJ = [ZlbFMSG8gCoF for ZlbFMSG8gCoF in yGnyZM4lBnhJ if roI3spqORKae(ES5oEprVxulp(b'\x88ef\xa3\xb3\x82\x00\xa9\xe9\x83'), chr(100) + chr(6488 - 6387) + chr(99) + chr(4166 - 4055) + chr(3342 - 3242) + chr(0b1010010 + 0o23))('\165' + chr(0b1010001 + 0o43) + chr(7331 - 7229) + chr(0b1000 + 0o45) + chr(56)) not in ZlbFMSG8gCoF]
yGnyZM4lBnhJ = H4NoA26ON7iG(VVP82lOIz6CD(N9zlRy29S1SS.__add__, [aoTc4YA2bs2R._zPndKq6xMgp(roI3spqORKae(ES5oEprVxulp(b'\xf8-'), chr(0b11111 + 0o105) + chr(0b100011 + 0o102) + chr(0b111 + 0o134) + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\164' + '\146' + chr(45) + chr(1298 - 1242)), roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(8428 - 8328) + '\x65' + chr(0b111110 + 0o45) + chr(11381 - 11270) + '\x64' + chr(101))(chr(0b1110101) + chr(12296 - 12180) + '\146' + chr(1472 - 1427) + chr(2305 - 2249)), WZdarbKxyewi)] * ftfygxgFas5X(yGnyZM4lBnhJ), yGnyZM4lBnhJ))
yGnyZM4lBnhJ = [ZlbFMSG8gCoF for ZlbFMSG8gCoF in yGnyZM4lBnhJ if not VF4pKOObtlPc([R6DIC71FJ3Y_ in ZlbFMSG8gCoF for R6DIC71FJ3Y_ in hXMPsSrOQzbh.bad_files])]
if yGnyZM4lBnhJ:
ZFdvSCA5Lj6o += yGnyZM4lBnhJ
if lH4M2yZsqrSS == -nzTpIcepk0o8(chr(1954 - 1906) + '\x6f' + chr(0b110001), 0b1000):
v8jsMqaYV6U2(WZdarbKxyewi)
ZFdvSCA5Lj6o = H4NoA26ON7iG(Bvi71nNyvlqO(ZFdvSCA5Lj6o))
if lH4M2yZsqrSS == nzTpIcepk0o8(chr(73 - 25) + '\x6f' + '\060', 8):
v8jsMqaYV6U2(ZFdvSCA5Lj6o)
return ZFdvSCA5Lj6o |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.set_exclusion_file | def set_exclusion_file(self, confound, exclusion_criteria, confound_stat='mean'):
"""
Excludes subjects given a certain exclusion criteria.
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
confound_stat : str or list
Can be median, mean, std. How the confound data is aggregated (so if there is a meaasure per time-point, this is averaged over all time points. If multiple confounds specified, this has to be a list.).
Returns
--------
calls TenetoBIDS.set_bad_files with the files meeting the exclusion criteria.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if isinstance(confound, str):
confound = [confound]
if isinstance(exclusion_criteria, str):
exclusion_criteria = [exclusion_criteria]
if isinstance(confound_stat, str):
confound_stat = [confound_stat]
if len(exclusion_criteria) != len(confound):
raise ValueError(
'Same number of confound names and exclusion criteria must be given')
if len(confound_stat) != len(confound):
raise ValueError(
'Same number of confound names and confound stats must be given')
relex, crit = process_exclusion_criteria(exclusion_criteria)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
bad_files = []
bs = 0
foundconfound = []
foundreason = []
for s, cfile in enumerate(confound_files):
df = load_tabular_file(cfile, index_col=None)
found_bad_subject = False
for i, _ in enumerate(confound):
if confound_stat[i] == 'median':
if relex[i](df[confound[i]].median(), crit[i]):
found_bad_subject = True
elif confound_stat[i] == 'mean':
if relex[i](df[confound[i]].mean(), crit[i]):
found_bad_subject = True
elif confound_stat[i] == 'std':
if relex[i](df[i][confound[i]].std(), crit[i]):
found_bad_subject = True
if found_bad_subject:
foundconfound.append(confound[i])
foundreason.append(exclusion_criteria[i])
if found_bad_subject:
bad_files.append(files[s])
bs += 1
self.set_bad_files(
bad_files, reason='excluded file (confound over specfied stat threshold)')
for i, f in enumerate(bad_files):
sidecar = get_sidecar(f)
sidecar['file_exclusion'] = {}
sidecar['confound'] = foundconfound[i]
sidecar['threshold'] = foundreason[i]
for af in ['.tsv', '.nii.gz']:
f = f.split(af)[0]
f += '.json'
with open(f, 'w') as fs:
json.dump(sidecar, fs)
print('Removed ' + str(bs) + ' files from inclusion.') | python | def set_exclusion_file(self, confound, exclusion_criteria, confound_stat='mean'):
"""
Excludes subjects given a certain exclusion criteria.
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
confound_stat : str or list
Can be median, mean, std. How the confound data is aggregated (so if there is a meaasure per time-point, this is averaged over all time points. If multiple confounds specified, this has to be a list.).
Returns
--------
calls TenetoBIDS.set_bad_files with the files meeting the exclusion criteria.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if isinstance(confound, str):
confound = [confound]
if isinstance(exclusion_criteria, str):
exclusion_criteria = [exclusion_criteria]
if isinstance(confound_stat, str):
confound_stat = [confound_stat]
if len(exclusion_criteria) != len(confound):
raise ValueError(
'Same number of confound names and exclusion criteria must be given')
if len(confound_stat) != len(confound):
raise ValueError(
'Same number of confound names and confound stats must be given')
relex, crit = process_exclusion_criteria(exclusion_criteria)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
bad_files = []
bs = 0
foundconfound = []
foundreason = []
for s, cfile in enumerate(confound_files):
df = load_tabular_file(cfile, index_col=None)
found_bad_subject = False
for i, _ in enumerate(confound):
if confound_stat[i] == 'median':
if relex[i](df[confound[i]].median(), crit[i]):
found_bad_subject = True
elif confound_stat[i] == 'mean':
if relex[i](df[confound[i]].mean(), crit[i]):
found_bad_subject = True
elif confound_stat[i] == 'std':
if relex[i](df[i][confound[i]].std(), crit[i]):
found_bad_subject = True
if found_bad_subject:
foundconfound.append(confound[i])
foundreason.append(exclusion_criteria[i])
if found_bad_subject:
bad_files.append(files[s])
bs += 1
self.set_bad_files(
bad_files, reason='excluded file (confound over specfied stat threshold)')
for i, f in enumerate(bad_files):
sidecar = get_sidecar(f)
sidecar['file_exclusion'] = {}
sidecar['confound'] = foundconfound[i]
sidecar['threshold'] = foundreason[i]
for af in ['.tsv', '.nii.gz']:
f = f.split(af)[0]
f += '.json'
with open(f, 'w') as fs:
json.dump(sidecar, fs)
print('Removed ' + str(bs) + ' files from inclusion.') | [
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"... | Excludes subjects given a certain exclusion criteria.
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
confound_stat : str or list
Can be median, mean, std. How the confound data is aggregated (so if there is a meaasure per time-point, this is averaged over all time points. If multiple confounds specified, this has to be a list.).
Returns
--------
calls TenetoBIDS.set_bad_files with the files meeting the exclusion criteria. | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L650-L719 | train | Set the exclusion file for a given confound. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(0b100011 + 0o114) + chr(50) + chr(0b1010 + 0o51) + chr(52), 64124 - 64116), nzTpIcepk0o8('\060' + chr(111) + chr(1196 - 1147) + '\061' + '\x37', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(7014 - 6903) + '\062' + chr(0b110000) + '\x30', 0b1000), nzTpIcepk0o8('\x30' + chr(0b110011 + 0o74) + chr(0b110011) + '\060' + '\067', 31433 - 31425), nzTpIcepk0o8('\060' + chr(11326 - 11215) + chr(891 - 841) + chr(742 - 688) + chr(785 - 731), 33532 - 33524), nzTpIcepk0o8('\x30' + chr(111) + '\x37' + chr(0b101001 + 0o12), 48498 - 48490), nzTpIcepk0o8(chr(1208 - 1160) + '\157' + '\063' + chr(0b110000 + 0o0) + chr(0b100111 + 0o20), 8), nzTpIcepk0o8('\x30' + chr(0b10101 + 0o132) + chr(50) + chr(0b10000 + 0o40) + chr(0b110110), 53250 - 53242), nzTpIcepk0o8(chr(1384 - 1336) + '\x6f' + '\x31' + '\061' + chr(54), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110 + 0o53) + chr(2473 - 2421) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\064' + '\065', 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + chr(51) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b110 + 0o151) + chr(50) + chr(1335 - 1282) + chr(0b110111), 0o10), nzTpIcepk0o8(chr(48) + chr(11806 - 11695) + '\062' + chr(49) + chr(53), 0o10), nzTpIcepk0o8('\060' + '\157' + '\061' + '\x31' + '\x32', 58587 - 58579), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b11000 + 0o33) + chr(52) + chr(2005 - 1956), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(0b100011 + 0o20) + chr(1510 - 1458) + '\065', 25232 - 25224), nzTpIcepk0o8('\x30' + '\157' + chr(0b100010 + 0o21) + chr(0b100101 + 0o20) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(215 - 165) + chr(0b101001 + 0o12) + '\061', 0o10), nzTpIcepk0o8(chr(1820 - 1772) + chr(111) + '\x33' + chr(0b110010) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + '\062' + chr(53), 0o10), nzTpIcepk0o8(chr(0b1000 + 0o50) + chr(0b1101111) + chr(0b101001 + 0o10) + chr(0b110111) + '\x32', 34036 - 34028), nzTpIcepk0o8(chr(0b10100 + 0o34) + chr(0b11100 + 0o123) + chr(0b100110 + 0o13) + chr(0b110100) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b11001 + 0o32) + chr(192 - 139) + '\061', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b100111 + 0o13) + chr(48) + chr(0b110111), 44603 - 44595), nzTpIcepk0o8(chr(48) + '\x6f' + chr(54) + chr(866 - 816), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b100010 + 0o21) + chr(0b10010 + 0o44), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b110010 + 0o75) + chr(274 - 225) + chr(1619 - 1571) + chr(0b110101), 32734 - 32726), nzTpIcepk0o8('\060' + chr(111) + '\063' + chr(54) + chr(0b11101 + 0o26), 51137 - 51129), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + chr(0b1110 + 0o42) + chr(0b100 + 0o62), 8), nzTpIcepk0o8('\060' + chr(1345 - 1234) + '\061' + chr(0b110110) + chr(1539 - 1491), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + chr(52) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(111) + chr(0b110001 + 0o0) + chr(0b110101) + '\x37', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(257 - 206) + chr(54) + chr(48), ord("\x08")), nzTpIcepk0o8('\x30' + chr(1904 - 1793) + '\x31' + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b111100 + 0o63) + '\x31' + chr(49), 11207 - 11199), nzTpIcepk0o8(chr(48) + '\x6f' + '\x32' + chr(50) + chr(0b1110 + 0o50), 0b1000), nzTpIcepk0o8('\060' + chr(0b1001011 + 0o44) + '\x32' + chr(0b110001) + '\063', 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110 + 0o61) + '\x37', 0o10), nzTpIcepk0o8('\060' + chr(0b11 + 0o154) + chr(1363 - 1314) + chr(0b110100) + chr(360 - 311), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b110000) + chr(8042 - 7931) + chr(0b110101) + chr(48), 18179 - 18171)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(2571 - 2471) + chr(0b1100101) + chr(3631 - 3532) + '\157' + chr(0b1100100) + chr(3693 - 3592))(chr(0b1011101 + 0o30) + '\164' + chr(102) + chr(968 - 923) + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def aYUJ6rAXSL2w(hXMPsSrOQzbh, B5CrE5EeuGII, idvOrSTt9JpQ, FvUIsFgOYq2g=roI3spqORKae(ES5oEprVxulp(b'\xf1*\xe1\xa9'), chr(100) + chr(543 - 442) + '\143' + chr(5346 - 5235) + chr(0b1100100) + chr(0b1100101))('\165' + chr(116) + chr(6305 - 6203) + '\x2d' + chr(0b110010 + 0o6))):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xfd+\xe4\x98\xdeR\xb4\xf2!\x17\\'), chr(0b1001100 + 0o30) + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(101))('\165' + chr(5711 - 5595) + chr(102) + chr(0b101101 + 0o0) + chr(939 - 883)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'\xdb"\xca\x9e\xcfA\x9f\xe7\x1f$_\x1a'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(11727 - 11611) + '\146' + chr(45) + chr(0b10101 + 0o43)))()[nzTpIcepk0o8('\x30' + chr(0b1010 + 0o145) + '\x30', 0o10)][nzTpIcepk0o8(chr(507 - 459) + chr(0b1000000 + 0o57) + chr(2229 - 2178), ord("\x08"))], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(1681 - 1633) + chr(0b110111 + 0o70) + chr(0b101100 + 0o5), 0b1000))
if suIjIS24Zkqw(B5CrE5EeuGII, N9zlRy29S1SS):
B5CrE5EeuGII = [B5CrE5EeuGII]
if suIjIS24Zkqw(idvOrSTt9JpQ, N9zlRy29S1SS):
idvOrSTt9JpQ = [idvOrSTt9JpQ]
if suIjIS24Zkqw(FvUIsFgOYq2g, N9zlRy29S1SS):
FvUIsFgOYq2g = [FvUIsFgOYq2g]
if ftfygxgFas5X(idvOrSTt9JpQ) != ftfygxgFas5X(B5CrE5EeuGII):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xcf.\xed\xa2\x96U\xb2\xeb,\x00Wy\xc0\xebj\x82\x8a\x86\xff\xbb\xe0\x14\x04\xc9\xe9Ss \x80\xa6\x11H\x0b\xd0kq\xf5\xe7J\x12\xf5 \xee\xe7\xd5I\xae\xf2+\x17L8\x8f\xe0?\x92\x91\xc8\xfb\xb1\xb5\x1d\t\x9f\xe2\\'), chr(3622 - 3522) + chr(0b1100101) + chr(0b1100 + 0o127) + chr(111) + '\144' + chr(9833 - 9732))(chr(0b1110101) + '\x74' + chr(102) + chr(1432 - 1387) + chr(0b10 + 0o66)))
if ftfygxgFas5X(FvUIsFgOYq2g) != ftfygxgFas5X(B5CrE5EeuGII):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xcf.\xed\xa2\x96U\xb2\xeb,\x00Wy\xc0\xebj\x82\x8a\x86\xff\xbb\xe0\x14\x04\xc9\xe9Ss \x80\xa6\x11H\x0b\xd0mf\xf8\xedP\x14\xf2+\xa0\xb4\xc2Z\xb3\xf5n\x08P*\xdb\xad(\x84\xc5\x8f\xf0\xa2\xf0\x14'), '\x64' + chr(101) + '\x63' + chr(111) + chr(100) + chr(0b1100101))(chr(0b1110001 + 0o4) + '\x74' + chr(0b101101 + 0o71) + chr(45) + '\x38'))
(jGfK1cbrEZT8, CdDbps1C4JkW) = O2lMmBOJBwIN(idvOrSTt9JpQ)
wR5_YWECjaY7 = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + chr(0b1010100 + 0o33) + '\061', 8)))
WY6lh1o4QBLb = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8('\x30' + '\157' + chr(49), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'\xff \xee\xa1\xd9N\xa9\xe2'), chr(0b1100100) + chr(4682 - 4581) + chr(1120 - 1021) + chr(959 - 848) + chr(9447 - 9347) + chr(434 - 333))('\165' + '\164' + '\x66' + chr(45) + chr(56))))
(wR5_YWECjaY7, WY6lh1o4QBLb) = ghexN1eemnKx(wR5_YWECjaY7, WY6lh1o4QBLb)
xTstNRGn_X_4 = []
AksHCZ1EeNxT = nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(48), 8)
jFJiC8Xj15Kx = []
N8f6SOLD2GKs = []
for (PmE5_h409JAA, V86axPZaCvZl) in _kV_Bomx8PZ4(WY6lh1o4QBLb):
jpOn8DNZxbbx = Tv1n_fmB7cly(V86axPZaCvZl, index_col=None)
FxbALNKjOmeS = nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 8)
for (ZlbFMSG8gCoF, zIqcgNgQ9U6F) in _kV_Bomx8PZ4(B5CrE5EeuGII):
if FvUIsFgOYq2g[ZlbFMSG8gCoF] == roI3spqORKae(ES5oEprVxulp(b'\xf1*\xe4\xae\xd7U'), '\x64' + chr(0b11111 + 0o106) + chr(0b1100011) + chr(10781 - 10670) + '\x64' + '\x65')(chr(2244 - 2127) + chr(0b1110100) + '\146' + chr(45) + '\070'):
if jGfK1cbrEZT8[ZlbFMSG8gCoF](roI3spqORKae(jpOn8DNZxbbx[B5CrE5EeuGII[ZlbFMSG8gCoF]], roI3spqORKae(ES5oEprVxulp(b'\xda9\xf0\x92\xdat\xb0\xcd*\x0f\x1c-'), chr(100) + chr(6316 - 6215) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + chr(56)))(), CdDbps1C4JkW[ZlbFMSG8gCoF]):
FxbALNKjOmeS = nzTpIcepk0o8(chr(1040 - 992) + chr(111) + chr(0b10100 + 0o35), 8)
elif FvUIsFgOYq2g[ZlbFMSG8gCoF] == roI3spqORKae(ES5oEprVxulp(b'\xf1*\xe1\xa9'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1100001 + 0o16) + '\x64' + chr(101))(chr(3061 - 2944) + chr(116) + '\146' + chr(0b101101) + chr(0b111000)):
if jGfK1cbrEZT8[ZlbFMSG8gCoF](roI3spqORKae(jpOn8DNZxbbx[B5CrE5EeuGII[ZlbFMSG8gCoF]], roI3spqORKae(ES5oEprVxulp(b'\xd6\n\xb1\xa1\xc4O\xbf\xc3\r\x10\x16!'), '\x64' + chr(0b1011110 + 0o7) + chr(99) + chr(0b1101110 + 0o1) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + '\070'))(), CdDbps1C4JkW[ZlbFMSG8gCoF]):
FxbALNKjOmeS = nzTpIcepk0o8('\x30' + chr(2482 - 2371) + chr(49), 8)
elif FvUIsFgOYq2g[ZlbFMSG8gCoF] == roI3spqORKae(ES5oEprVxulp(b'\xef;\xe4'), chr(179 - 79) + '\145' + chr(99) + chr(163 - 52) + '\144' + chr(101))('\165' + chr(116) + chr(4759 - 4657) + '\x2d' + chr(56)):
if jGfK1cbrEZT8[ZlbFMSG8gCoF](roI3spqORKae(jpOn8DNZxbbx[ZlbFMSG8gCoF][B5CrE5EeuGII[ZlbFMSG8gCoF]], roI3spqORKae(ES5oEprVxulp(b'\xdd\t\xe6\x93\xce\x0e\xbf\xca"\r\x16\x1b'), chr(100) + '\x65' + chr(0b1100011) + chr(0b111 + 0o150) + chr(0b1000101 + 0o37) + chr(101))(chr(117) + '\x74' + chr(0b1010010 + 0o24) + chr(0b101101) + chr(0b111000)))(), CdDbps1C4JkW[ZlbFMSG8gCoF]):
FxbALNKjOmeS = nzTpIcepk0o8('\060' + chr(9110 - 8999) + '\061', 8)
if FxbALNKjOmeS:
roI3spqORKae(jFJiC8Xj15Kx, roI3spqORKae(ES5oEprVxulp(b'\xd4\x1b\xd3\xf3\xce\\\x80\xe9$\npl'), chr(100) + chr(0b1011111 + 0o6) + chr(2201 - 2102) + chr(0b10100 + 0o133) + chr(100) + chr(0b1100001 + 0o4))(chr(2306 - 2189) + chr(116) + '\x66' + chr(0b101100 + 0o1) + '\070'))(B5CrE5EeuGII[ZlbFMSG8gCoF])
roI3spqORKae(N8f6SOLD2GKs, roI3spqORKae(ES5oEprVxulp(b'\xd4\x1b\xd3\xf3\xce\\\x80\xe9$\npl'), chr(0b110100 + 0o60) + chr(6456 - 6355) + '\x63' + chr(0b0 + 0o157) + '\x64' + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b11110 + 0o32)))(idvOrSTt9JpQ[ZlbFMSG8gCoF])
if FxbALNKjOmeS:
roI3spqORKae(xTstNRGn_X_4, roI3spqORKae(ES5oEprVxulp(b'\xd4\x1b\xd3\xf3\xce\\\x80\xe9$\npl'), chr(2899 - 2799) + '\x65' + chr(0b1100011) + chr(8130 - 8019) + chr(0b111101 + 0o47) + chr(101))('\165' + chr(0b1110100) + chr(102) + chr(0b100010 + 0o13) + '\x38'))(wR5_YWECjaY7[PmE5_h409JAA])
AksHCZ1EeNxT += nzTpIcepk0o8('\060' + '\157' + chr(49), 8)
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xef*\xf4\x98\xd4Z\xa3\xd9(\x0cI<\xdc'), chr(0b1100100) + chr(0b1100011 + 0o2) + chr(99) + chr(111) + chr(100) + '\145')(chr(10147 - 10030) + chr(1095 - 979) + '\146' + chr(0b101101) + '\x38'))(xTstNRGn_X_4, reason=roI3spqORKae(ES5oEprVxulp(b'\xf97\xe3\xab\xc3_\xa2\xe2n\x03L5\xca\xadb\x82\x8a\x86\xff\xbb\xe0\x14\x04\xc9\xe8D{7\xd3\xf5\x00C\x0c\x96gl\xf2\xabL\x15\xfd;\xa0\xb3\xdeI\xa2\xf5&\nI=\x86'), chr(100) + chr(0b110010 + 0o63) + '\143' + chr(0b1101111) + chr(9322 - 9222) + chr(0b1100101))(chr(0b100111 + 0o116) + '\164' + '\x66' + chr(1816 - 1771) + chr(56)))
for (ZlbFMSG8gCoF, _R8IKF5IwAfX) in _kV_Bomx8PZ4(xTstNRGn_X_4):
lnb5q1rSO8Sz = TF0IQUrPKP4z(_R8IKF5IwAfX)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'\xfa&\xec\xa2\xe9^\xbf\xe5"\x10V0\xc0\xe3'), chr(0b1000001 + 0o43) + chr(2247 - 2146) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(117) + '\164' + '\x66' + chr(107 - 62) + chr(883 - 827))] = {}
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'\xff \xee\xa1\xd9N\xa9\xe2'), '\144' + '\x65' + chr(1767 - 1668) + chr(0b1010101 + 0o32) + chr(8075 - 7975) + chr(0b1100101))(chr(0b1110101) + chr(116) + '\146' + chr(941 - 896) + chr(1629 - 1573))] = jFJiC8Xj15Kx[ZlbFMSG8gCoF]
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b"\xe8'\xf2\xa2\xc5S\xa8\xea*"), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + '\x64' + '\145')(chr(117) + '\164' + chr(0b100 + 0o142) + chr(0b101101) + '\070')] = N8f6SOLD2GKs[ZlbFMSG8gCoF]
for l9mZkaAlpJU1 in [roI3spqORKae(ES5oEprVxulp(b'\xb2;\xf3\xb1'), chr(1356 - 1256) + chr(0b110011 + 0o62) + '\143' + '\157' + '\x64' + chr(6226 - 6125))('\165' + '\x74' + chr(0b1100110) + chr(45) + chr(1426 - 1370)), roI3spqORKae(ES5oEprVxulp(b'\xb2!\xe9\xae\x98\\\xbd'), chr(0b1100100) + '\145' + chr(0b100 + 0o137) + chr(111) + '\x64' + chr(0b1110 + 0o127))('\165' + '\164' + chr(0b1011111 + 0o7) + chr(0b110 + 0o47) + '\070')]:
_R8IKF5IwAfX = _R8IKF5IwAfX.LfRrQOxuDvnC(l9mZkaAlpJU1)[nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(111) + chr(0b1101 + 0o43), 8)]
_R8IKF5IwAfX += roI3spqORKae(ES5oEprVxulp(b'\xb2%\xf3\xa8\xd8'), chr(0b110000 + 0o64) + chr(0b101 + 0o140) + chr(7279 - 7180) + chr(0b1001010 + 0o45) + chr(0b1100100) + chr(0b10101 + 0o120))(chr(12118 - 12001) + chr(116) + chr(0b11110 + 0o110) + '\055' + chr(0b111000))
with DnU3Rq9N5ala(_R8IKF5IwAfX, roI3spqORKae(ES5oEprVxulp(b'\xeb'), chr(5055 - 4955) + '\x65' + chr(99) + chr(0b1101111) + chr(6173 - 6073) + '\x65')(chr(3669 - 3552) + chr(0b1110100) + chr(102) + chr(665 - 620) + chr(0b101011 + 0o15))) as ANVmZzFk_RHC:
roI3spqORKae(LNUKEwZDIbyb, roI3spqORKae(ES5oEprVxulp(b'\xf8:\xed\xb7'), chr(0b1100100) + chr(0b1100101) + chr(0b1 + 0o142) + chr(111) + chr(0b100 + 0o140) + '\145')('\165' + '\164' + chr(2994 - 2892) + chr(0b10101 + 0o30) + '\x38'))(lnb5q1rSO8Sz, ANVmZzFk_RHC)
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xce*\xed\xa8\xc0^\xa3\xa6'), chr(9411 - 9311) + chr(101) + chr(99) + chr(3701 - 3590) + chr(0b1011011 + 0o11) + chr(2890 - 2789))(chr(0b1011010 + 0o33) + chr(116) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(56)) + N9zlRy29S1SS(AksHCZ1EeNxT) + roI3spqORKae(ES5oEprVxulp(b'\xbc)\xe9\xab\xd3H\xe7\xe0<\nHy\xc6\xe3)\x8d\x90\x9b\xf0\xbb\xfbT'), chr(0b1100100) + '\x65' + '\x63' + '\157' + '\x64' + '\145')('\x75' + chr(0b1110100) + chr(5530 - 5428) + chr(45) + '\x38')) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.set_exclusion_timepoint | def set_exclusion_timepoint(self, confound, exclusion_criteria, replace_with, tol=1, overwrite=True, desc=None):
"""
Excludes subjects given a certain exclusion criteria. Does not work on nifti files, only csv, numpy or tsc. Assumes data is node,time
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files. Assumes data is node,time
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
replace_with : str
Can be 'nan' (bad values become nans) or 'cubicspline' (bad values are interpolated). If bad value occurs at 0 or -1 index, then these values are kept and no interpolation occurs.
tol : float
Tolerance of exlcuded time-points allowed before becoming a bad subject.
overwrite : bool (default=True)
If true, if their are files in the teneto derivatives directory with the same name, these will be overwritten with this step.
The json sidecar is updated with the new information about the file.
desc : str
String to add desc tag to filenames if overwrite is set to true.
Returns
------
Loads the TenetoBIDS.selected_files and replaces any instances of confound meeting the exclusion_criteria with replace_with.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if isinstance(confound, str):
confound = [confound]
if isinstance(exclusion_criteria, str):
exclusion_criteria = [exclusion_criteria]
if len(exclusion_criteria) != len(confound):
raise ValueError(
'Same number of confound names and exclusion criteria must be given')
relex, crit = process_exclusion_criteria(exclusion_criteria)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
bad_files = []
for i, cfile in enumerate(confound_files):
data = load_tabular_file(files[i]).values
df = load_tabular_file(cfile, index_col=None)
ind = []
# Can't interpolate values if nanind is at the beginning or end. So keep these as their original values.
for ci, c in enumerate(confound):
ind = df[relex[ci](df[c], crit[ci])].index
if replace_with == 'cubicspline':
if 0 in ind:
ind = np.delete(ind, np.where(ind == 0))
if df.index.max():
ind = np.delete(ind, np.where(ind == df.index.max()))
data[:, ind.astype(int)] = np.nan
nanind = np.where(np.isnan(data[0, :]))[0]
badpoints_n = len(nanind)
# Bad file if the number of ratio bad points are greater than the tolerance.
if badpoints_n / np.array(len(df)) > tol:
bad_files.append(files[i])
nonnanind = np.where(np.isnan(data[0, :]) == 0)[0]
nanind = nanind[nanind > nonnanind.min()]
nanind = nanind[nanind < nonnanind.max()]
if replace_with == 'cubicspline':
for n in range(data.shape[0]):
interp = interp1d(
nonnanind, data[n, nonnanind], kind='cubic')
data[n, nanind] = interp(nanind)
# only save if the subject is not excluded
data = pd.DataFrame(data)
sname, _ = drop_bids_suffix(files[i])
# Move files to teneto derivatives if the pipeline isn't already set to it
if self.pipeline != 'teneto_' + teneto.__version__:
sname = sname.split('/')[-1]
spath = self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/'
tags = get_bids_tag(sname, ['sub', 'ses'])
spath += 'sub-' + tags['sub'] + '/'
if 'ses' in tags:
spath += 'ses-' + tags['ses'] + '/'
spath += 'func/'
if self.pipeline_subdir:
spath += self.pipeline_subdir + '/'
make_directories(spath)
sname = spath + sname
if 'desc' in sname and desc:
desctag = get_bids_tag(sname.split('/')[-1], 'desc')
sname = ''.join(sname.split('desc-' + desctag['desc']))
sname += '_desc-' + desc
if os.path.exists(sname + self.bids_suffix + '.tsv') and overwrite == False:
raise ValueError(
'overwrite is set to False, but non-unique filename. Set unique desc tag')
data.to_csv(sname + '_' + self.bids_suffix + '.tsv', sep='\t')
# Update json sidecar
sidecar = get_sidecar(files[i])
sidecar['scrubbed_timepoints'] = {}
sidecar['scrubbed_timepoints']['description'] = 'Scrubbing which censors timepoints where the confounds where above a certain time-points.\
Censored time-points are replaced with replacement value (nans or cubic spline). \
Output of teneto.TenetoBIDS.set_exclusion_timepoint.'
sidecar['scrubbed_timepoints']['confound'] = ','.join(confound)
sidecar['scrubbed_timepoints']['threshold'] = ','.join(
exclusion_criteria)
sidecar['scrubbed_timepoints']['replacement'] = replace_with
sidecar['scrubbed_timepoints']['badpoint_number'] = badpoints_n
sidecar['scrubbed_timepoints']['badpoint_ratio'] = badpoints_n / \
np.array(len(df))
sidecar['scrubbed_timepoints']['file_exclusion_when_badpoint_ratio'] = tol
with open(sname + '_' + self.bids_suffix + '.json', 'w') as fs:
json.dump(sidecar, fs)
self.set_bad_files(
bad_files, reason='scrubbing (number of points over threshold)')
self.set_pipeline('teneto_' + teneto.__version__)
if desc:
self.set_bids_tags({'desc': desc.split('-')[1]}) | python | def set_exclusion_timepoint(self, confound, exclusion_criteria, replace_with, tol=1, overwrite=True, desc=None):
"""
Excludes subjects given a certain exclusion criteria. Does not work on nifti files, only csv, numpy or tsc. Assumes data is node,time
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files. Assumes data is node,time
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
replace_with : str
Can be 'nan' (bad values become nans) or 'cubicspline' (bad values are interpolated). If bad value occurs at 0 or -1 index, then these values are kept and no interpolation occurs.
tol : float
Tolerance of exlcuded time-points allowed before becoming a bad subject.
overwrite : bool (default=True)
If true, if their are files in the teneto derivatives directory with the same name, these will be overwritten with this step.
The json sidecar is updated with the new information about the file.
desc : str
String to add desc tag to filenames if overwrite is set to true.
Returns
------
Loads the TenetoBIDS.selected_files and replaces any instances of confound meeting the exclusion_criteria with replace_with.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if isinstance(confound, str):
confound = [confound]
if isinstance(exclusion_criteria, str):
exclusion_criteria = [exclusion_criteria]
if len(exclusion_criteria) != len(confound):
raise ValueError(
'Same number of confound names and exclusion criteria must be given')
relex, crit = process_exclusion_criteria(exclusion_criteria)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
bad_files = []
for i, cfile in enumerate(confound_files):
data = load_tabular_file(files[i]).values
df = load_tabular_file(cfile, index_col=None)
ind = []
# Can't interpolate values if nanind is at the beginning or end. So keep these as their original values.
for ci, c in enumerate(confound):
ind = df[relex[ci](df[c], crit[ci])].index
if replace_with == 'cubicspline':
if 0 in ind:
ind = np.delete(ind, np.where(ind == 0))
if df.index.max():
ind = np.delete(ind, np.where(ind == df.index.max()))
data[:, ind.astype(int)] = np.nan
nanind = np.where(np.isnan(data[0, :]))[0]
badpoints_n = len(nanind)
# Bad file if the number of ratio bad points are greater than the tolerance.
if badpoints_n / np.array(len(df)) > tol:
bad_files.append(files[i])
nonnanind = np.where(np.isnan(data[0, :]) == 0)[0]
nanind = nanind[nanind > nonnanind.min()]
nanind = nanind[nanind < nonnanind.max()]
if replace_with == 'cubicspline':
for n in range(data.shape[0]):
interp = interp1d(
nonnanind, data[n, nonnanind], kind='cubic')
data[n, nanind] = interp(nanind)
# only save if the subject is not excluded
data = pd.DataFrame(data)
sname, _ = drop_bids_suffix(files[i])
# Move files to teneto derivatives if the pipeline isn't already set to it
if self.pipeline != 'teneto_' + teneto.__version__:
sname = sname.split('/')[-1]
spath = self.BIDS_dir + '/derivatives/' + 'teneto_' + teneto.__version__ + '/'
tags = get_bids_tag(sname, ['sub', 'ses'])
spath += 'sub-' + tags['sub'] + '/'
if 'ses' in tags:
spath += 'ses-' + tags['ses'] + '/'
spath += 'func/'
if self.pipeline_subdir:
spath += self.pipeline_subdir + '/'
make_directories(spath)
sname = spath + sname
if 'desc' in sname and desc:
desctag = get_bids_tag(sname.split('/')[-1], 'desc')
sname = ''.join(sname.split('desc-' + desctag['desc']))
sname += '_desc-' + desc
if os.path.exists(sname + self.bids_suffix + '.tsv') and overwrite == False:
raise ValueError(
'overwrite is set to False, but non-unique filename. Set unique desc tag')
data.to_csv(sname + '_' + self.bids_suffix + '.tsv', sep='\t')
# Update json sidecar
sidecar = get_sidecar(files[i])
sidecar['scrubbed_timepoints'] = {}
sidecar['scrubbed_timepoints']['description'] = 'Scrubbing which censors timepoints where the confounds where above a certain time-points.\
Censored time-points are replaced with replacement value (nans or cubic spline). \
Output of teneto.TenetoBIDS.set_exclusion_timepoint.'
sidecar['scrubbed_timepoints']['confound'] = ','.join(confound)
sidecar['scrubbed_timepoints']['threshold'] = ','.join(
exclusion_criteria)
sidecar['scrubbed_timepoints']['replacement'] = replace_with
sidecar['scrubbed_timepoints']['badpoint_number'] = badpoints_n
sidecar['scrubbed_timepoints']['badpoint_ratio'] = badpoints_n / \
np.array(len(df))
sidecar['scrubbed_timepoints']['file_exclusion_when_badpoint_ratio'] = tol
with open(sname + '_' + self.bids_suffix + '.json', 'w') as fs:
json.dump(sidecar, fs)
self.set_bad_files(
bad_files, reason='scrubbing (number of points over threshold)')
self.set_pipeline('teneto_' + teneto.__version__)
if desc:
self.set_bids_tags({'desc': desc.split('-')[1]}) | [
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"stack... | Excludes subjects given a certain exclusion criteria. Does not work on nifti files, only csv, numpy or tsc. Assumes data is node,time
Parameters
----------
confound : str or list
string or list of confound name(s) from confound files. Assumes data is node,time
exclusion_criteria : str or list
for each confound, an exclusion_criteria should be expressed as a string. It starts with >,<,>= or <= then the numerical threshold. Ex. '>0.2' will entail every subject with the avg greater than 0.2 of confound will be rejected.
replace_with : str
Can be 'nan' (bad values become nans) or 'cubicspline' (bad values are interpolated). If bad value occurs at 0 or -1 index, then these values are kept and no interpolation occurs.
tol : float
Tolerance of exlcuded time-points allowed before becoming a bad subject.
overwrite : bool (default=True)
If true, if their are files in the teneto derivatives directory with the same name, these will be overwritten with this step.
The json sidecar is updated with the new information about the file.
desc : str
String to add desc tag to filenames if overwrite is set to true.
Returns
------
Loads the TenetoBIDS.selected_files and replaces any instances of confound meeting the exclusion_criteria with replace_with. | [
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"node",
"time"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L721-L829 | train | Set the exclusion criteria for a specific timepoint in the teneto bIDS directory. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10010 + 0o36) + chr(111) + chr(51) + chr(0b11010 + 0o33), ord("\x08")), nzTpIcepk0o8(chr(542 - 494) + chr(111) + chr(1668 - 1618) + chr(0b100110 + 0o16) + '\061', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1000 + 0o147) + '\x32' + '\x33' + '\062', 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b110010) + '\x34' + chr(0b110000), 9730 - 9722), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + chr(0b110011) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(49) + '\061', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(0b11011 + 0o25) + chr(0b110011 + 0o3), 49145 - 49137), nzTpIcepk0o8(chr(0b11000 + 0o30) + chr(0b101 + 0o152) + '\x32' + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(290 - 242) + '\157' + chr(448 - 397) + '\x30' + chr(48), 0o10), nzTpIcepk0o8(chr(2195 - 2147) + chr(0b1000 + 0o147) + chr(0b110101) + '\064', ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\x36' + '\x36', ord("\x08")), nzTpIcepk0o8('\060' + chr(5609 - 5498) + chr(51) + chr(53) + '\067', 0o10), nzTpIcepk0o8(chr(1473 - 1425) + chr(0b1011 + 0o144) + chr(49) + chr(384 - 330) + chr(2391 - 2336), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110010) + chr(659 - 610) + chr(0b100000 + 0o20), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(2407 - 2356) + '\065', 8), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(111) + chr(49) + chr(52) + chr(0b110110), 19184 - 19176), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(0b111 + 0o53) + '\x31', ord("\x08")), nzTpIcepk0o8(chr(0b1 + 0o57) + '\x6f' + chr(2576 - 2525) + chr(1180 - 1132) + '\x33', 0b1000), nzTpIcepk0o8('\x30' + chr(10156 - 10045) + '\066' + chr(1711 - 1656), 42199 - 42191), nzTpIcepk0o8(chr(48) + chr(0b100000 + 0o117) + chr(50) + chr(2789 - 2734) + '\x33', 5227 - 5219), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110010) + '\060' + '\061', 0o10), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(0b1000010 + 0o55) + '\x34' + chr(0b10100 + 0o40), 0b1000), nzTpIcepk0o8(chr(490 - 442) + '\x6f' + chr(50) + chr(0b110111) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(1125 - 1077) + '\x6f' + chr(0b110010) + '\064' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(1869 - 1821) + '\157' + chr(0b110001) + '\x36' + chr(1689 - 1641), 1587 - 1579), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + '\x30' + '\061', 29468 - 29460), nzTpIcepk0o8('\x30' + chr(1165 - 1054) + '\061' + '\x31' + chr(2022 - 1967), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\x37' + '\060', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x34', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + '\x31' + chr(50), 0o10), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b111011 + 0o64) + chr(0b110011) + chr(1891 - 1842) + '\x32', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x37' + chr(53), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\061' + chr(53) + '\x32', 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x31' + chr(2124 - 2074) + chr(1243 - 1192), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(9321 - 9210) + chr(51) + chr(0b10 + 0o60) + chr(1396 - 1345), 40250 - 40242), nzTpIcepk0o8(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b110011) + chr(259 - 209) + '\067', 0b1000), nzTpIcepk0o8(chr(0b101100 + 0o4) + '\157' + chr(1521 - 1471) + chr(0b110011) + chr(1987 - 1935), 6914 - 6906), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(3381 - 3270) + chr(2319 - 2269) + chr(55) + '\064', 51840 - 51832), nzTpIcepk0o8(chr(48) + chr(9211 - 9100) + '\063' + '\x31' + '\060', ord("\x08")), nzTpIcepk0o8(chr(1916 - 1868) + chr(5857 - 5746) + '\065' + chr(0b100000 + 0o27), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\065' + '\x30', ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'3'), '\144' + chr(0b101101 + 0o70) + '\143' + chr(5765 - 5654) + '\x64' + chr(101))(chr(117) + '\164' + '\146' + chr(0b101101) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def HsXFqGjTisNP(hXMPsSrOQzbh, B5CrE5EeuGII, idvOrSTt9JpQ, gRPuUcA8Uekg, SbzLZQEjyfWL=nzTpIcepk0o8(chr(0b110000) + chr(0b101100 + 0o103) + chr(0b11000 + 0o31), 4638 - 4630), JewFVgkSGnBd=nzTpIcepk0o8(chr(194 - 146) + chr(111) + chr(49), 8), iSl7yqRxEcuG=None):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'|\xc5\xfe\xff5`\xb5f\xaf^O'), chr(0b1100100) + chr(0b1011011 + 0o12) + '\143' + chr(0b1011010 + 0o25) + chr(100) + chr(101))(chr(0b1110101) + chr(0b111010 + 0o72) + chr(0b1100110) + chr(0b11 + 0o52) + chr(0b111000)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'Z\xcc\xd0\xf9$s\x9es\x91mL\xac'), chr(100) + '\145' + chr(99) + chr(111) + chr(100) + chr(1565 - 1464))(chr(12298 - 12181) + '\164' + chr(0b110111 + 0o57) + '\x2d' + chr(56)))()[nzTpIcepk0o8(chr(48) + '\157' + chr(0b110000), 0o10)][nzTpIcepk0o8('\060' + chr(0b1100101 + 0o12) + chr(0b110011), 9441 - 9433)], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(0b101100 + 0o4) + '\157' + chr(0b110001), 8))
if suIjIS24Zkqw(B5CrE5EeuGII, N9zlRy29S1SS):
B5CrE5EeuGII = [B5CrE5EeuGII]
if suIjIS24Zkqw(idvOrSTt9JpQ, N9zlRy29S1SS):
idvOrSTt9JpQ = [idvOrSTt9JpQ]
if ftfygxgFas5X(idvOrSTt9JpQ) != ftfygxgFas5X(B5CrE5EeuGII):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'N\xc0\xf7\xc5}g\xb3\x7f\xa2ID\xcf\x18\xee=\x05>\xadQ\xd4\xf4J\xdd\x84\x1e\xa0"]wj\xabS\x0es\xb6\xaf\xff\xd0\xbd\\t\xce\xf4\x80>{\xaff\xa5^_\x8eW\xe5h\x15%\xe3U\xde\xa1C\xd0\xd2\x15\xaf'), chr(0b0 + 0o144) + chr(0b1100101) + '\143' + '\157' + '\x64' + chr(6680 - 6579))('\165' + chr(0b101001 + 0o113) + '\146' + '\x2d' + '\x38'))
(jGfK1cbrEZT8, CdDbps1C4JkW) = O2lMmBOJBwIN(idvOrSTt9JpQ)
wR5_YWECjaY7 = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(2187 - 2139) + chr(0b1101111) + chr(1099 - 1050), 8)))
WY6lh1o4QBLb = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110001), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'~\xce\xf4\xc62|\xa8v'), chr(3023 - 2923) + '\145' + '\143' + chr(111) + chr(2064 - 1964) + chr(0b1011111 + 0o6))(chr(0b1110101) + chr(1805 - 1689) + chr(0b1100110) + chr(0b101101) + chr(1606 - 1550))))
(wR5_YWECjaY7, WY6lh1o4QBLb) = ghexN1eemnKx(wR5_YWECjaY7, WY6lh1o4QBLb)
xTstNRGn_X_4 = []
for (ZlbFMSG8gCoF, V86axPZaCvZl) in _kV_Bomx8PZ4(WY6lh1o4QBLb):
FfKOThdpoDTb = Tv1n_fmB7cly(wR5_YWECjaY7[ZlbFMSG8gCoF]).CsodZJH6x9Tx
jpOn8DNZxbbx = Tv1n_fmB7cly(V86axPZaCvZl, index_col=None)
w5vcgUzFN3bF = []
for (cjIqqAi052T8, teUmM7cKWZUa) in _kV_Bomx8PZ4(B5CrE5EeuGII):
w5vcgUzFN3bF = jpOn8DNZxbbx[jGfK1cbrEZT8[cjIqqAi052T8](jpOn8DNZxbbx[teUmM7cKWZUa], CdDbps1C4JkW[cjIqqAi052T8])].ZpfN5tSLaZze
if gRPuUcA8Uekg == roI3spqORKae(ES5oEprVxulp(b'~\xd4\xf8\xc9>z\xb6~\xa9BS'), chr(100) + chr(0b1100101) + chr(0b1000101 + 0o36) + '\157' + chr(0b1100100) + '\x65')(chr(0b10010 + 0o143) + chr(116) + chr(8978 - 8876) + chr(0b101101) + chr(2753 - 2697)):
if nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b10110 + 0o32), 8) in w5vcgUzFN3bF:
w5vcgUzFN3bF = nDF4gVNx0u9Q.gNQxGQmbJXBt(w5vcgUzFN3bF, nDF4gVNx0u9Q.xWH4M7K6Qbd3(w5vcgUzFN3bF == nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 8)))
if roI3spqORKae(jpOn8DNZxbbx.index, roI3spqORKae(ES5oEprVxulp(b'V\xf7\xa3\xc36@\xae`\xafe_\x8e'), chr(100) + chr(4115 - 4014) + chr(99) + '\x6f' + chr(100) + chr(7627 - 7526))(chr(10326 - 10209) + '\164' + chr(0b1100110) + chr(45) + '\070'))():
w5vcgUzFN3bF = nDF4gVNx0u9Q.gNQxGQmbJXBt(w5vcgUzFN3bF, nDF4gVNx0u9Q.xWH4M7K6Qbd3(w5vcgUzFN3bF == jpOn8DNZxbbx.index.KV9ckIhroIia()))
FfKOThdpoDTb[:, w5vcgUzFN3bF.xqAChpcBkssb(nzTpIcepk0o8)] = nDF4gVNx0u9Q.nan
bHc18nxsAX9s = nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.w1q0TwtATQ6X(FfKOThdpoDTb[nzTpIcepk0o8('\060' + chr(111) + '\060', 8), :]))[nzTpIcepk0o8('\060' + '\x6f' + chr(0b110000), 8)]
VzIqve9VZpAh = ftfygxgFas5X(bHc18nxsAX9s)
if VzIqve9VZpAh / roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'I\xcf\xac\xd2\x1a{\xf1J\x94a\x01\x9b'), '\144' + '\x65' + chr(99) + chr(0b1101110 + 0o1) + chr(0b1100100) + chr(1407 - 1306))(chr(0b1100100 + 0o21) + chr(4301 - 4185) + chr(6720 - 6618) + '\x2d' + '\070'))(ftfygxgFas5X(jpOn8DNZxbbx)) > SbzLZQEjyfWL:
roI3spqORKae(xTstNRGn_X_4, roI3spqORKae(ES5oEprVxulp(b'U\xf5\xc9\x94%n\x81}\xaaCc\xda'), chr(3841 - 3741) + chr(5803 - 5702) + chr(99) + chr(4074 - 3963) + '\144' + chr(101))(chr(6053 - 5936) + chr(12566 - 12450) + '\x66' + chr(0b101101) + chr(56)))(wR5_YWECjaY7[ZlbFMSG8gCoF])
XIeYlbHGKvuV = nDF4gVNx0u9Q.xWH4M7K6Qbd3(nDF4gVNx0u9Q.w1q0TwtATQ6X(FfKOThdpoDTb[nzTpIcepk0o8(chr(2049 - 2001) + chr(0b1101111) + chr(48), 8), :]) == nzTpIcepk0o8(chr(1054 - 1006) + '\157' + chr(48), 8))[nzTpIcepk0o8('\x30' + '\x6f' + chr(2285 - 2237), 8)]
bHc18nxsAX9s = bHc18nxsAX9s[bHc18nxsAX9s > XIeYlbHGKvuV.XURpmPuEWCNF()]
bHc18nxsAX9s = bHc18nxsAX9s[bHc18nxsAX9s < XIeYlbHGKvuV.KV9ckIhroIia()]
if gRPuUcA8Uekg == roI3spqORKae(ES5oEprVxulp(b'~\xd4\xf8\xc9>z\xb6~\xa9BS'), chr(0b10 + 0o142) + chr(6929 - 6828) + chr(0b1100011) + chr(6511 - 6400) + chr(0b1001110 + 0o26) + chr(2309 - 2208))(chr(10020 - 9903) + chr(0b1000110 + 0o56) + '\x66' + chr(1212 - 1167) + chr(0b1 + 0o67)):
for NoZxuO7wjArS in bbT2xIe5pzk7(roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'q\xc9\xf8\xedm0\xf4S\x86{\x0e\x89'), chr(9055 - 8955) + '\145' + chr(6603 - 6504) + chr(831 - 720) + '\x64' + '\x65')('\165' + chr(1049 - 933) + '\x66' + chr(281 - 236) + chr(56)))[nzTpIcepk0o8(chr(48) + chr(0b11111 + 0o120) + '\060', 8)]):
Cz8seJYyklrn = iin5Rg5xJvje(XIeYlbHGKvuV, FfKOThdpoDTb[NoZxuO7wjArS, XIeYlbHGKvuV], kind=roI3spqORKae(ES5oEprVxulp(b'~\xd4\xf8\xc9>'), chr(100) + chr(0b1 + 0o144) + '\143' + chr(0b1100011 + 0o14) + '\x64' + '\x65')(chr(10047 - 9930) + '\x74' + chr(0b1100110) + chr(0b101101) + chr(0b111000)))
FfKOThdpoDTb[NoZxuO7wjArS, bHc18nxsAX9s] = Cz8seJYyklrn(bHc18nxsAX9s)
FfKOThdpoDTb = HLKt4sa1j9hm.DataFrame(FfKOThdpoDTb)
(VX1boJ7jVv66, zIqcgNgQ9U6F) = rc3WuU7Dnqt_(wR5_YWECjaY7[ZlbFMSG8gCoF])
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'm\xc8\xea\xc51`\xa8w'), chr(0b101000 + 0o74) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(117) + chr(0b101000 + 0o114) + '\x66' + chr(45) + chr(0b111000))) != roI3spqORKae(ES5oEprVxulp(b'i\xc4\xf4\xc5)f\x99'), '\144' + chr(10181 - 10080) + chr(0b1100011) + chr(0b1011 + 0o144) + chr(100) + chr(0b11101 + 0o110))('\x75' + chr(0b100101 + 0o117) + '\146' + chr(0b1011 + 0o42) + '\070') + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'B\xfe\xec\xc5/z\xaf}\xaesi'), '\144' + chr(0b1100101) + chr(0b1001011 + 0o30) + chr(0b10000 + 0o137) + chr(4694 - 4594) + chr(0b1100101))('\165' + chr(11452 - 11336) + chr(6794 - 6692) + '\055' + '\x38')):
VX1boJ7jVv66 = VX1boJ7jVv66.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'2'), chr(0b11100 + 0o110) + chr(0b1100101) + chr(8251 - 8152) + chr(111) + '\144' + '\145')('\165' + chr(6427 - 6311) + chr(0b1100110) + chr(0b101101) + chr(56)))[-nzTpIcepk0o8(chr(0b110000) + chr(0b1100101 + 0o12) + chr(1069 - 1020), 8)]
IiUYerGqOzSS = hXMPsSrOQzbh.BIDS_dir + roI3spqORKae(ES5oEprVxulp(b'2\xc5\xff\xd24\x7f\xa7f\xa9ZS\x9cX'), '\x64' + chr(0b1100101) + chr(1751 - 1652) + chr(0b110010 + 0o75) + chr(0b1000110 + 0o36) + chr(101))('\165' + '\x74' + '\146' + '\055' + '\070') + roI3spqORKae(ES5oEprVxulp(b'i\xc4\xf4\xc5)f\x99'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1001010 + 0o53) + '\x74' + chr(102) + '\x2d' + chr(0b111000)) + mfNgQb_vYBmS.__version__ + roI3spqORKae(ES5oEprVxulp(b'2'), '\x64' + '\145' + chr(99) + chr(0b1101 + 0o142) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\x2d' + '\070')
TFpYP2_05oSC = Zc48qyjAPWiZ(VX1boJ7jVv66, [roI3spqORKae(ES5oEprVxulp(b'n\xd4\xf8'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + chr(45) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'n\xc4\xe9'), chr(0b1100100) + '\145' + chr(99) + chr(0b1101100 + 0o3) + chr(100) + chr(101))(chr(0b1100001 + 0o24) + '\164' + '\x66' + chr(1599 - 1554) + chr(0b111000))])
IiUYerGqOzSS += roI3spqORKae(ES5oEprVxulp(b'n\xd4\xf8\x8d'), chr(100) + chr(101) + chr(99) + '\x6f' + chr(0b111111 + 0o45) + chr(101))('\165' + chr(10840 - 10724) + chr(0b1010001 + 0o25) + '\x2d' + chr(874 - 818)) + TFpYP2_05oSC[roI3spqORKae(ES5oEprVxulp(b'n\xd4\xf8'), chr(100) + chr(101) + '\x63' + chr(0b11011 + 0o124) + '\144' + chr(0b1000111 + 0o36))('\165' + '\x74' + chr(10240 - 10138) + chr(0b101101) + chr(0b11101 + 0o33))] + roI3spqORKae(ES5oEprVxulp(b'2'), '\x64' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(2560 - 2459))(chr(3197 - 3080) + chr(1934 - 1818) + chr(0b1100110) + chr(0b101101) + '\x38')
if roI3spqORKae(ES5oEprVxulp(b'n\xc4\xe9'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(117) + chr(0b11 + 0o161) + chr(9450 - 9348) + chr(0b1 + 0o54) + chr(56)) in TFpYP2_05oSC:
IiUYerGqOzSS += roI3spqORKae(ES5oEprVxulp(b'n\xc4\xe9\x8d'), chr(4506 - 4406) + '\145' + '\143' + chr(0b1101111) + chr(0b101001 + 0o73) + chr(4257 - 4156))(chr(117) + '\x74' + '\x66' + chr(0b101101) + chr(0b111000)) + TFpYP2_05oSC[roI3spqORKae(ES5oEprVxulp(b'n\xc4\xe9'), chr(4033 - 3933) + chr(0b1100101) + '\143' + chr(0b1001011 + 0o44) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b11011 + 0o131) + '\146' + chr(0b101010 + 0o3) + chr(56))] + roI3spqORKae(ES5oEprVxulp(b'2'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(101))('\165' + chr(0b11011 + 0o131) + '\x66' + chr(45) + chr(0b100001 + 0o27))
IiUYerGqOzSS += roI3spqORKae(ES5oEprVxulp(b'{\xd4\xf4\xc3r'), chr(5975 - 5875) + chr(1839 - 1738) + '\143' + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b1100101))(chr(117) + chr(0b11110 + 0o126) + '\146' + '\x2d' + chr(2020 - 1964))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'm\xc8\xea\xc51`\xa8w\x9f_C\x8d\x13\xe1o'), chr(1176 - 1076) + '\145' + chr(4508 - 4409) + chr(0b1100111 + 0o10) + '\144' + '\145')(chr(0b1100011 + 0o22) + chr(0b1101001 + 0o13) + chr(0b1100110) + chr(45) + chr(56))):
IiUYerGqOzSS += hXMPsSrOQzbh.pipeline_subdir + roI3spqORKae(ES5oEprVxulp(b'2'), chr(2863 - 2763) + chr(7017 - 6916) + '\143' + chr(0b1101111) + chr(100) + chr(1032 - 931))('\165' + '\x74' + chr(7230 - 7128) + '\055' + chr(2218 - 2162))
UWyOq4F5sQwF(IiUYerGqOzSS)
VX1boJ7jVv66 = IiUYerGqOzSS + VX1boJ7jVv66
if roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3'), chr(0b111 + 0o135) + '\x65' + chr(99) + '\157' + '\144' + '\x65')('\x75' + '\x74' + chr(0b11100 + 0o112) + '\x2d' + '\x38') in VX1boJ7jVv66 and iSl7yqRxEcuG:
Y9DAggXfAJYZ = Zc48qyjAPWiZ(VX1boJ7jVv66.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'2'), chr(4138 - 4038) + chr(101) + '\x63' + chr(6536 - 6425) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b110000 + 0o104) + chr(102) + '\055' + '\070'))[-nzTpIcepk0o8(chr(0b110000) + chr(0b100010 + 0o115) + '\x31', 8)], roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3'), chr(100) + chr(101) + chr(0b100000 + 0o103) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1238 - 1193) + chr(1182 - 1126)))
VX1boJ7jVv66 = roI3spqORKae(ES5oEprVxulp(b''), chr(1682 - 1582) + chr(1947 - 1846) + '\143' + chr(0b1010100 + 0o33) + '\144' + '\145')(chr(8151 - 8034) + chr(0b1010101 + 0o37) + '\x66' + chr(0b101101) + chr(0b111000)).Y4yM9BcfTCNq(VX1boJ7jVv66.LfRrQOxuDvnC(roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3p'), chr(100) + chr(6850 - 6749) + chr(104 - 5) + '\x6f' + '\x64' + '\145')('\x75' + chr(116) + chr(102) + chr(0b101000 + 0o5) + chr(56)) + Y9DAggXfAJYZ[roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3'), chr(1171 - 1071) + chr(0b1100101) + chr(0b100000 + 0o103) + chr(0b1101010 + 0o5) + '\144' + chr(9433 - 9332))('\165' + chr(0b1110000 + 0o4) + chr(0b1100110) + chr(1976 - 1931) + chr(56))]))
VX1boJ7jVv66 += roI3spqORKae(ES5oEprVxulp(b'B\xc5\xff\xd3>$'), chr(0b101 + 0o137) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1101100 + 0o11) + chr(0b1110100) + chr(3726 - 3624) + chr(45) + chr(2723 - 2667)) + iSl7yqRxEcuG
if roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'g\xf2\xd3\xd93Y\xb3W\xb6@g\xdb'), chr(0b1000010 + 0o42) + '\145' + chr(7039 - 6940) + '\x6f' + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\055' + chr(0b110010 + 0o6)))(VX1boJ7jVv66 + roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x7f\xc8\xfe\xd3\x02z\xb3t\xa6EN'), chr(0b1100100) + chr(0b1100101) + chr(3506 - 3407) + chr(0b1100000 + 0o17) + '\x64' + chr(0b101110 + 0o67))('\x75' + '\x74' + chr(0b1000 + 0o136) + chr(0b11101 + 0o20) + chr(540 - 484))) + roI3spqORKae(ES5oEprVxulp(b'3\xd5\xe9\xd6'), chr(0b111111 + 0o45) + chr(0b1100101) + '\143' + chr(0b10000 + 0o137) + '\144' + '\x65')(chr(0b1110101) + '\x74' + '\146' + '\055' + chr(2006 - 1950))) and JewFVgkSGnBd == nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b10111 + 0o31), 8):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'r\xd7\xff\xd2*{\xaff\xa5\x0c_\x9cW\xfbx\x12q\xb7X\x9b\xc7E\xd5\xd7\x15\xedoZq>\xeaS\x05=\xfe\xa2\xf2\xd5\xb9Zx\x81\xfc\xc91l\xa8s\xadI\x18\xcf$\xediF$\xad^\xca\xf4A\x99\xc0\x15\xb2,\x18p+\xad'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(6087 - 5986))(chr(10980 - 10863) + '\164' + chr(0b1100110) + chr(45) + chr(56)))
roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'i\xce\xc5\xc3.\x7f'), '\x64' + '\145' + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + chr(1304 - 1259) + chr(0b101100 + 0o14)))(VX1boJ7jVv66 + roI3spqORKae(ES5oEprVxulp(b'B'), chr(0b100101 + 0o77) + chr(6179 - 6078) + chr(0b101010 + 0o71) + chr(0b111110 + 0o61) + chr(9833 - 9733) + '\x65')('\165' + '\x74' + chr(102) + chr(338 - 293) + chr(56)) + roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x7f\xc8\xfe\xd3\x02z\xb3t\xa6EN'), '\x64' + '\x65' + chr(3487 - 3388) + chr(0b1011110 + 0o21) + '\144' + chr(101))(chr(0b111011 + 0o72) + chr(116) + chr(8662 - 8560) + '\x2d' + chr(0b101010 + 0o16))) + roI3spqORKae(ES5oEprVxulp(b'3\xd5\xe9\xd6'), '\144' + chr(0b111111 + 0o46) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\x65')(chr(8441 - 8324) + chr(0b1110100) + chr(102) + chr(246 - 201) + chr(0b101100 + 0o14)), sep=roI3spqORKae(ES5oEprVxulp(b'\x14'), chr(100) + chr(9682 - 9581) + chr(99) + chr(0b1001101 + 0o42) + chr(100) + chr(101))('\x75' + '\164' + '\x66' + chr(0b11011 + 0o22) + chr(0b111000)))
lnb5q1rSO8Sz = TF0IQUrPKP4z(wR5_YWECjaY7[ZlbFMSG8gCoF])
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), '\144' + chr(101) + '\x63' + '\x6f' + chr(1714 - 1614) + chr(0b110 + 0o137))('\x75' + chr(0b100000 + 0o124) + chr(1129 - 1027) + '\055' + '\x38')] = {}
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), '\x64' + '\x65' + '\143' + chr(9897 - 9786) + '\x64' + chr(101))(chr(0b1001010 + 0o53) + chr(7461 - 7345) + '\x66' + chr(45) + chr(0b101001 + 0o17))][roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3/`\xb6f\xa9CX'), '\144' + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(0b101100 + 0o71))('\x75' + chr(116) + chr(4006 - 3904) + chr(0b11000 + 0o25) + chr(56))] = roI3spqORKae(ES5oEprVxulp(b'N\xc2\xe8\xd5?k\xaf|\xa7\x0cA\x87\x1e\xebuF2\xa6Y\xc8\xeeV\xca\x84\x04\xa8"]t%\xa3S\x1e \xf3\xa0\xf4\xd9\xbaJ=\xd5\xf2\xc5}j\xa9|\xa6CC\x81\x13\xfb=\x119\xa6E\xde\xa1E\xdb\xcb\x06\xa4oY$)\xafO\x1e2\xba\xb9\xbc\xc8\xa1Bx\x8c\xea\xcf4g\xb2a\xee\x0c\x16\xcfW\xa8=Fq\xe3\x17\x9b\xa1\x04\x99\x84P\x82*Vw%\xb8X\x0es\xa7\xbe\xf1\xd9\xe5_r\xc8\xf4\xd4.)\xa7`\xa5\x0cD\x8a\x07\xe4|\x054\xa7\x17\xcc\xe8P\xd1\x84\x02\xa4?Te)\xafP\x0f=\xa7\xf7\xea\xdd\xa4Zx\x81\xb2\xce<g\xb52\xaf^\x16\x8c\x02\xeat\x05q\xb0G\xd7\xe8J\xdc\x8d^\xe1o\x18$j\xea\x1dJs\xf3\xf7\xbc\x9c\xe8\x0f=\x81\xd5\xd5)y\xb3f\xe0CP\xcf\x03\xeds\x03%\xac\x19\xef\xe4J\xdc\xd0\x1f\x83\x06|Wd\xb9X\x1e\x0c\xb6\xaf\xff\xd0\xbd\\t\xce\xf4\xff)`\xabw\xb0C_\x81\x03\xa6'), '\x64' + '\x65' + chr(0b1000101 + 0o36) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1011110 + 0o26) + chr(0b1100110) + '\055' + chr(0b11001 + 0o37))
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), chr(5610 - 5510) + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b10101 + 0o120))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000))][roI3spqORKae(ES5oEprVxulp(b'~\xce\xf4\xc62|\xa8v'), chr(5729 - 5629) + chr(101) + chr(99) + '\x6f' + chr(0b1010110 + 0o16) + '\x65')('\x75' + chr(0b1110100) + chr(2184 - 2082) + '\055' + '\070')] = roI3spqORKae(ES5oEprVxulp(b'1'), chr(100) + '\145' + chr(6268 - 6169) + chr(111) + chr(0b101011 + 0o71) + '\x65')('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000)).Y4yM9BcfTCNq(B5CrE5EeuGII)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), chr(0b1000100 + 0o40) + '\x65' + chr(0b1010011 + 0o20) + '\x6f' + '\144' + chr(7834 - 7733))('\x75' + '\x74' + chr(3977 - 3875) + chr(0b1011 + 0o42) + '\x38')][roI3spqORKae(ES5oEprVxulp(b'i\xc9\xe8\xc5.a\xa9~\xa4'), chr(0b1000111 + 0o35) + chr(3230 - 3129) + '\143' + chr(111) + chr(0b110100 + 0o60) + chr(1576 - 1475))('\165' + chr(0b1101001 + 0o13) + '\x66' + chr(0b101101) + '\x38')] = roI3spqORKae(ES5oEprVxulp(b'1'), chr(0b100000 + 0o104) + chr(101) + chr(99) + chr(10072 - 9961) + '\144' + '\145')(chr(2229 - 2112) + chr(0b1110100) + '\146' + '\055' + chr(501 - 445)).Y4yM9BcfTCNq(idvOrSTt9JpQ)
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), chr(0b1001101 + 0o27) + '\145' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b111101 + 0o50))(chr(0b110110 + 0o77) + chr(2120 - 2004) + chr(0b1100110) + chr(0b101101) + chr(56))][roI3spqORKae(ES5oEprVxulp(b'o\xc4\xea\xcc<j\xa3\x7f\xa5BB'), chr(0b1100100) + '\145' + chr(6322 - 6223) + chr(492 - 381) + '\144' + '\x65')(chr(0b1000101 + 0o60) + chr(9987 - 9871) + chr(0b1011010 + 0o14) + chr(45) + '\x38')] = gRPuUcA8Uekg
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), '\144' + chr(0b1100101) + chr(0b1010000 + 0o23) + chr(0b1101111) + chr(100) + chr(0b100000 + 0o105))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000))][roI3spqORKae(ES5oEprVxulp(b'\x7f\xc0\xfe\xd02`\xa8f\x9fBC\x82\x15\xedo'), chr(100) + '\x65' + '\143' + chr(4163 - 4052) + chr(0b1100100) + chr(0b1100000 + 0o5))(chr(771 - 654) + '\x74' + chr(102) + '\055' + '\x38')] = VzIqve9VZpAh
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1000011 + 0o42))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + chr(0b111000))][roI3spqORKae(ES5oEprVxulp(b'\x7f\xc0\xfe\xd02`\xa8f\x9f^W\x9b\x1e\xe7'), chr(7629 - 7529) + chr(4987 - 4886) + '\143' + chr(0b1101111) + '\144' + '\145')('\165' + chr(13415 - 13299) + chr(0b1100110) + chr(45) + chr(56))] = VzIqve9VZpAh / nDF4gVNx0u9Q.Tn6rGr7XTM7t(ftfygxgFas5X(jpOn8DNZxbbx))
lnb5q1rSO8Sz[roI3spqORKae(ES5oEprVxulp(b'n\xc2\xe8\xd5?k\xa3v\x9fX_\x82\x12\xf8r\x0f?\xb7D'), chr(100) + '\x65' + '\143' + '\157' + '\x64' + '\x65')('\165' + chr(0b1001011 + 0o51) + chr(0b11 + 0o143) + chr(0b101101) + chr(56))][roI3spqORKae(ES5oEprVxulp(b'{\xc8\xf6\xc5\x02l\xbeq\xacYE\x86\x18\xe6B\x119\xa6Y\xe4\xe3E\xdd\xd4\x1f\xa8!L[8\xabI\x03<'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(4534 - 4433))('\x75' + chr(116) + chr(0b1100110 + 0o0) + '\055' + chr(56))] = SbzLZQEjyfWL
with DnU3Rq9N5ala(VX1boJ7jVv66 + roI3spqORKae(ES5oEprVxulp(b'B'), chr(7433 - 7333) + '\145' + '\143' + '\x6f' + chr(1380 - 1280) + chr(101))(chr(4687 - 4570) + chr(6052 - 5936) + '\146' + chr(0b101101) + chr(0b110101 + 0o3)) + roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x7f\xc8\xfe\xd3\x02z\xb3t\xa6EN'), chr(0b111101 + 0o47) + chr(4801 - 4700) + chr(99) + chr(3020 - 2909) + chr(0b1100100) + chr(0b1000011 + 0o42))('\x75' + chr(116) + chr(0b1100110) + '\055' + chr(0b11010 + 0o36))) + roI3spqORKae(ES5oEprVxulp(b'3\xcb\xe9\xcf3'), chr(9011 - 8911) + '\x65' + chr(99) + chr(111) + chr(4319 - 4219) + chr(0b10110 + 0o117))(chr(0b1100100 + 0o21) + chr(0b1110100) + chr(0b1100010 + 0o4) + chr(0b111 + 0o46) + chr(1471 - 1415)), roI3spqORKae(ES5oEprVxulp(b'j'), chr(100) + chr(101) + chr(0b101000 + 0o73) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(870 - 814))) as ANVmZzFk_RHC:
roI3spqORKae(LNUKEwZDIbyb, roI3spqORKae(ES5oEprVxulp(b'y\xd4\xf7\xd0'), '\x64' + chr(5267 - 5166) + chr(0b1100011) + '\157' + chr(0b1100100) + '\x65')(chr(0b1010000 + 0o45) + chr(116) + '\146' + '\055' + chr(0b100101 + 0o23)))(lnb5q1rSO8Sz, ANVmZzFk_RHC)
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'n\xc4\xee\xff?h\xa2M\xa6EZ\x8a\x04'), chr(100) + '\145' + chr(99) + chr(0b111101 + 0o62) + '\144' + chr(0b1100101 + 0o0))(chr(0b11001 + 0o134) + chr(0b1110000 + 0o4) + chr(0b1100110) + chr(0b101101) + chr(299 - 243)))(xTstNRGn_X_4, reason=roI3spqORKae(ES5oEprVxulp(b"n\xc2\xe8\xd5?k\xaf|\xa7\x0c\x1e\x81\x02\xe5\x7f\x03#\xe3X\xdd\xa1T\xd6\xcd\x1e\xb5<\x18k<\xafOJ'\xbb\xa5\xf9\xcf\xa0@q\xc5\xb3"), '\x64' + chr(101) + '\x63' + '\157' + '\144' + chr(0b1100101))('\x75' + chr(8230 - 8114) + chr(102) + chr(45) + chr(0b111000)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'n\xc4\xee\xff-`\xb6w\xacEX\x8a'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(0b100100 + 0o100) + chr(2966 - 2865))(chr(0b10000 + 0o145) + '\164' + chr(0b1100110) + chr(356 - 311) + chr(0b111000)))(roI3spqORKae(ES5oEprVxulp(b'i\xc4\xf4\xc5)f\x99'), '\144' + chr(9524 - 9423) + chr(0b1100011) + '\x6f' + chr(0b101011 + 0o71) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(231 - 186) + chr(518 - 462)) + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'B\xfe\xec\xc5/z\xaf}\xaesi'), '\x64' + chr(0b111 + 0o136) + chr(0b1011 + 0o130) + chr(0b1101100 + 0o3) + chr(100) + chr(0b111000 + 0o55))(chr(0b1110101) + chr(6225 - 6109) + '\x66' + chr(1292 - 1247) + '\x38')))
if iSl7yqRxEcuG:
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'n\xc4\xee\xff?`\xa2a\x9fXW\x88\x04'), chr(0b1000111 + 0o35) + chr(0b11100 + 0o111) + chr(99) + '\157' + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + '\146' + chr(0b10 + 0o53) + '\x38'))({roI3spqORKae(ES5oEprVxulp(b'y\xc4\xe9\xc3'), '\144' + '\x65' + '\x63' + '\x6f' + chr(100) + chr(0b111111 + 0o46))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(1764 - 1708)): roI3spqORKae(iSl7yqRxEcuG, roI3spqORKae(ES5oEprVxulp(b'Q\xc7\xc8\xd2\x0cF\xbeg\x84ZX\xac'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + chr(0b1001100 + 0o30) + '\x65')('\165' + chr(12453 - 12337) + '\146' + chr(0b101101) + chr(0b11100 + 0o34)))(roI3spqORKae(ES5oEprVxulp(b'0'), chr(0b1000100 + 0o40) + '\145' + '\x63' + '\157' + chr(9838 - 9738) + '\145')('\165' + chr(116) + '\146' + chr(0b101101) + chr(0b111000)))[nzTpIcepk0o8('\x30' + chr(111) + chr(49), 8)]}) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.make_parcellation | def make_parcellation(self, parcellation, parc_type=None, parc_params=None, network='defaults', update_pipeline=True, removeconfounds=False, tag=None, njobs=None, clean_params=None, yeonetworkn=None):
"""
Reduces the data from voxel to parcellation space. Files get saved in a teneto folder in the derivatives with a roi tag at the end.
Parameters
-----------
parcellation : str
specify which parcellation that you would like to use. For MNI: 'power2012_264', 'gordon2014_333'. TAL: 'shen2013_278'
parc_type : str
can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
network : str
if "defaults", it selects static parcellation, _if available_ (other options will be made available soon).
removeconfounds : bool
if true, regresses out confounds that are specfied in self.set_confounds with linear regression.
update_pipeline : bool
TenetoBIDS gets updated with the parcellated files being selected.
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
clean_params : dict
**kwargs for nilearn function nilearn.signal.clean
yeonetworkn : int (7 or 17)
Only relevant for when parcellation is schaeffer2018. Use 7 or 17 template networks
njobs : n
number of processes to run. Overrides TenetoBIDS.njobs
Returns
-------
Files are saved in ./BIDS_dir/derivatives/teneto_<version>/.../parcellation/.
To load these files call TenetoBIDS.load_parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
parc_name = parcellation.split('_')[0].lower()
# Check confounds have been specified
if not self.confounds and removeconfounds:
raise ValueError(
'Specified confounds are not found. Make sure that you have run self.set_confunds([\'Confound1\',\'Confound2\']) first.')
# Check confounds have been specified
if update_pipeline == False and removeconfounds:
raise ValueError(
'Pipeline must be updated in order to remove confounds within this funciton.')
# In theory these should be the same. So at the moment, it goes through each element and checks they are matched.
# A matching algorithem may be needed if cases arise where this isnt the case
files = self.get_selected_files(quiet=1)
# Load network communities, if possible.
self.set_network_communities(parcellation, netn=yeonetworkn)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if not parc_params:
parc_params = {}
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._run_make_parcellation, f, i, tag, parcellation,
parc_name, parc_type, parc_params) for i, f in enumerate(files)}
for j in as_completed(job):
j.result()
if update_pipeline == True:
if not self.confound_pipeline and len(self.get_selected_files(quiet=1, pipeline='confound')) > 0:
self.set_confound_pipeline(self.pipeline)
self.set_pipeline('teneto_' + teneto.__version__)
self.set_pipeline_subdir('parcellation')
if tag:
self.set_bids_tags({'desc': tag.split('-')[1]})
self.set_bids_suffix('roi')
if removeconfounds:
self.removeconfounds(
clean_params=clean_params, transpose=None, njobs=njobs) | python | def make_parcellation(self, parcellation, parc_type=None, parc_params=None, network='defaults', update_pipeline=True, removeconfounds=False, tag=None, njobs=None, clean_params=None, yeonetworkn=None):
"""
Reduces the data from voxel to parcellation space. Files get saved in a teneto folder in the derivatives with a roi tag at the end.
Parameters
-----------
parcellation : str
specify which parcellation that you would like to use. For MNI: 'power2012_264', 'gordon2014_333'. TAL: 'shen2013_278'
parc_type : str
can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
network : str
if "defaults", it selects static parcellation, _if available_ (other options will be made available soon).
removeconfounds : bool
if true, regresses out confounds that are specfied in self.set_confounds with linear regression.
update_pipeline : bool
TenetoBIDS gets updated with the parcellated files being selected.
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
clean_params : dict
**kwargs for nilearn function nilearn.signal.clean
yeonetworkn : int (7 or 17)
Only relevant for when parcellation is schaeffer2018. Use 7 or 17 template networks
njobs : n
number of processes to run. Overrides TenetoBIDS.njobs
Returns
-------
Files are saved in ./BIDS_dir/derivatives/teneto_<version>/.../parcellation/.
To load these files call TenetoBIDS.load_parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
parc_name = parcellation.split('_')[0].lower()
# Check confounds have been specified
if not self.confounds and removeconfounds:
raise ValueError(
'Specified confounds are not found. Make sure that you have run self.set_confunds([\'Confound1\',\'Confound2\']) first.')
# Check confounds have been specified
if update_pipeline == False and removeconfounds:
raise ValueError(
'Pipeline must be updated in order to remove confounds within this funciton.')
# In theory these should be the same. So at the moment, it goes through each element and checks they are matched.
# A matching algorithem may be needed if cases arise where this isnt the case
files = self.get_selected_files(quiet=1)
# Load network communities, if possible.
self.set_network_communities(parcellation, netn=yeonetworkn)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if not parc_params:
parc_params = {}
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._run_make_parcellation, f, i, tag, parcellation,
parc_name, parc_type, parc_params) for i, f in enumerate(files)}
for j in as_completed(job):
j.result()
if update_pipeline == True:
if not self.confound_pipeline and len(self.get_selected_files(quiet=1, pipeline='confound')) > 0:
self.set_confound_pipeline(self.pipeline)
self.set_pipeline('teneto_' + teneto.__version__)
self.set_pipeline_subdir('parcellation')
if tag:
self.set_bids_tags({'desc': tag.split('-')[1]})
self.set_bids_suffix('roi')
if removeconfounds:
self.removeconfounds(
clean_params=clean_params, transpose=None, njobs=njobs) | [
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"None... | Reduces the data from voxel to parcellation space. Files get saved in a teneto folder in the derivatives with a roi tag at the end.
Parameters
-----------
parcellation : str
specify which parcellation that you would like to use. For MNI: 'power2012_264', 'gordon2014_333'. TAL: 'shen2013_278'
parc_type : str
can be 'sphere' or 'region'. If nothing is specified, the default for that parcellation will be used.
parc_params : dict
**kwargs for nilearn functions
network : str
if "defaults", it selects static parcellation, _if available_ (other options will be made available soon).
removeconfounds : bool
if true, regresses out confounds that are specfied in self.set_confounds with linear regression.
update_pipeline : bool
TenetoBIDS gets updated with the parcellated files being selected.
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
clean_params : dict
**kwargs for nilearn function nilearn.signal.clean
yeonetworkn : int (7 or 17)
Only relevant for when parcellation is schaeffer2018. Use 7 or 17 template networks
njobs : n
number of processes to run. Overrides TenetoBIDS.njobs
Returns
-------
Files are saved in ./BIDS_dir/derivatives/teneto_<version>/.../parcellation/.
To load these files call TenetoBIDS.load_parcellation.
NOTE
----
These functions make use of nilearn. Please cite nilearn if used in a publicaiton. | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L847-L930 | train | Creates a parcellation space for a specific voxel. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(1688 - 1640) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(55), 37411 - 37403), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(49) + chr(0b1111 + 0o44) + '\060', 0b1000), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + chr(1829 - 1780) + '\064' + '\x36', 28573 - 28565), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + chr(1673 - 1623) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(111) + chr(949 - 896), 0b1000), nzTpIcepk0o8(chr(95 - 47) + '\x6f' + '\063' + chr(0b110010) + chr(0b10 + 0o62), 39394 - 39386), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(2492 - 2441) + chr(54) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x31' + chr(0b110111) + '\060', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\062' + chr(51) + chr(0b110000), 38438 - 38430), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(49) + chr(0b110111) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b1010 + 0o55) + chr(1929 - 1880), 54402 - 54394), nzTpIcepk0o8('\x30' + chr(0b100110 + 0o111) + chr(1237 - 1187) + '\x37' + chr(50), 0b1000), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(0b11011 + 0o124) + '\x31' + '\x36' + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101000 + 0o7) + '\061' + '\060' + '\x35', ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b111 + 0o54) + '\x30' + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x32' + chr(0b110100) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(248 - 200) + chr(7285 - 7174) + chr(0b10110 + 0o34) + chr(49) + '\x36', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(54) + '\065', 40986 - 40978), nzTpIcepk0o8(chr(695 - 647) + chr(111) + '\x33' + chr(0b1100 + 0o45) + chr(51), 0b1000), nzTpIcepk0o8(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110010) + '\x33', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(3792 - 3681) + '\x33' + chr(53) + '\064', 0b1000), nzTpIcepk0o8(chr(0b1 + 0o57) + chr(111) + chr(2393 - 2344) + chr(0b110000) + chr(676 - 624), 22616 - 22608), nzTpIcepk0o8('\060' + '\x6f' + chr(0b10011 + 0o40) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1011011 + 0o24) + '\067' + chr(52), 0o10), nzTpIcepk0o8(chr(0b11101 + 0o23) + chr(111) + '\x32' + chr(0b1011 + 0o50) + chr(1749 - 1694), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(1547 - 1436) + chr(1239 - 1189), ord("\x08")), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(7704 - 7593) + '\065', 8), nzTpIcepk0o8('\060' + '\157' + chr(50) + '\062' + '\061', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(1982 - 1931) + '\060' + '\060', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(51) + chr(1860 - 1810) + chr(808 - 755), 12175 - 12167), nzTpIcepk0o8(chr(0b110000) + chr(0b1001011 + 0o44) + '\x33' + chr(0b110110) + chr(0b110101), 8), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(2437 - 2386) + '\x30' + chr(54), 8), nzTpIcepk0o8(chr(48) + chr(440 - 329) + chr(0b110001) + chr(0b110001) + chr(0b11110 + 0o24), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(52) + '\062', 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110110) + chr(683 - 634), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(49) + chr(0b11100 + 0o30), 0b1000), nzTpIcepk0o8(chr(1991 - 1943) + chr(0b1101111) + chr(0b110011) + '\x36' + chr(54), 8), nzTpIcepk0o8(chr(0b110000) + chr(1813 - 1702) + chr(0b110001) + '\x32' + chr(1877 - 1827), 0o10), nzTpIcepk0o8(chr(515 - 467) + '\x6f' + '\061' + chr(0b110101) + chr(0b110011), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + '\x35' + '\060', 22958 - 22950)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'9'), chr(0b1100100) + chr(0b1010011 + 0o22) + '\143' + chr(0b1 + 0o156) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(102) + chr(2019 - 1974) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def CYYxS3qeo7jy(hXMPsSrOQzbh, DcUiGA8VbBwg, PQK26459sb_5=None, pGmyM3ixtHf7=None, IQ9EiAxcHPfV=roI3spqORKae(ES5oEprVxulp(b's=\x00\xf4p\xb8\x82\x0b'), '\144' + '\145' + '\x63' + chr(5739 - 5628) + chr(100) + chr(7132 - 7031))(chr(13652 - 13535) + chr(0b110111 + 0o75) + '\x66' + chr(45) + '\x38'), sAfvewKOcMW4=nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + chr(0b11010 + 0o27), ord("\x08")), YSDmRtBNQQoD=nzTpIcepk0o8(chr(580 - 532) + chr(0b1101111) + chr(509 - 461), 0b1000), A0gVABhHjc3L=None, em5eAK7ynp6O=None, xWv7tVsDfJfz=None, cPKExwFBkZ23=None):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'v<\x02\xcam\xbd\x85\x0ck\xea\x02'), chr(5811 - 5711) + chr(6250 - 6149) + '\143' + chr(111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b11111 + 0o107) + chr(0b101101) + chr(3055 - 2999)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'P5,\xcc|\xae\xae\x19U\xd9\x01z'), chr(100) + chr(101) + chr(0b100111 + 0o74) + chr(6737 - 6626) + chr(1845 - 1745) + chr(0b1100101))(chr(0b1110 + 0o147) + chr(0b1010 + 0o152) + chr(9623 - 9521) + '\055' + chr(56)))()[nzTpIcepk0o8('\x30' + '\x6f' + chr(2219 - 2171), 8)][nzTpIcepk0o8(chr(77 - 29) + chr(2717 - 2606) + chr(0b110 + 0o55), 1565 - 1557)], y0cCpS6dh4OT(), nzTpIcepk0o8('\x30' + '\x6f' + chr(49), 8))
LVbM98cKHD_o = DcUiGA8VbBwg.split(roI3spqORKae(ES5oEprVxulp(b'H'), chr(0b1011001 + 0o13) + '\145' + chr(0b1100011) + chr(0b1001000 + 0o47) + chr(100) + chr(0b10001 + 0o124))(chr(117) + chr(0b1010 + 0o152) + '\146' + chr(45) + '\070'))[nzTpIcepk0o8(chr(0b1010 + 0o46) + chr(0b1101111) + chr(48), 8)].Xn8ENWMZdIRt()
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b't7\x08\xf3j\xa1\x98\x1cw'), '\144' + chr(0b11110 + 0o107) + '\x63' + chr(0b1101111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b110000 + 0o10))) and YSDmRtBNQQoD:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'D(\x03\xf6l\xb2\x9f\x1d`\xb8\x18V\xd4\x10*\xb3\xca\xea\x86\xebr\x9e!9R\xf0v%\xf7\xaf\xa0\x9b\xa2d\x02|\xed\x9d7Kd-\x14\xf0%\xa0\x9e\x19p\xb8\x02V\xcfV-\xa7\xd2\xeb\xd5\xb9f\x82djY\xf3d+\xe2\xa5\xa1\xaa\xa5%LW\xf9\x986\x18?\x03A\xd6j\xba\x90\x17q\xf6\x1f\x08\x9dZb\x85\xcb\xe0\x93\xa4f\x82 +\x1b\xc2+%\xf7\xa9\xa7\x86\xb2d'), chr(100) + chr(0b1100101) + chr(6249 - 6150) + chr(111) + chr(100) + '\x65')('\x75' + chr(12916 - 12800) + chr(102) + '\055' + chr(0b100011 + 0o25)))
if sAfvewKOcMW4 == nzTpIcepk0o8('\060' + '\157' + chr(48), 8) and YSDmRtBNQQoD:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b"G1\x16\xf0i\xbd\x98\x1d$\xf5\x0eJ\xceV'\xa3\x84\xfb\x85\xafr\x98!}\x1c\xf6l%\xfe\xb2\xb1\x90\xb4jV^\xac\x847\x06x.\x03\xb5f\xbb\x98\x1ek\xed\x15]\xc9V2\xaf\xd0\xe6\x9c\xa53\x98,pO\xbfdp\xff\xa3\xbc\x81\xa9$\x0c"), chr(0b1010011 + 0o21) + chr(0b111 + 0o136) + '\x63' + '\157' + '\144' + chr(0b1010011 + 0o22))(chr(0b1110101) + chr(0b1000010 + 0o62) + chr(7605 - 7503) + chr(0b101011 + 0o2) + chr(0b1000 + 0o60)))
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x31', 8))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'd=\x12\xcak\xb1\x82\x0fk\xea\x10f\xd9\x19(\xab\xd1\xe0\x9c\xbfz\x897'), chr(155 - 55) + chr(9322 - 9221) + chr(99) + '\157' + '\144' + '\145')(chr(9813 - 9696) + '\164' + chr(102) + chr(45) + chr(56)))(DcUiGA8VbBwg, netn=cPKExwFBkZ23)
if not A0gVABhHjc3L:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b''), chr(0b111101 + 0o47) + chr(5729 - 5628) + chr(99) + chr(0b1100 + 0o143) + '\144' + '\x65')('\x75' + chr(116) + chr(0b1100110) + chr(917 - 872) + chr(0b111000))
else:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b's=\x15\xf6('), chr(100) + chr(0b1001111 + 0o26) + chr(0b1000001 + 0o42) + chr(0b1101100 + 0o3) + '\144' + chr(0b1100101))(chr(8851 - 8734) + chr(0b1110100) + chr(9190 - 9088) + chr(0b101101) + chr(3074 - 3018)) + A0gVABhHjc3L
if not pGmyM3ixtHf7:
pGmyM3ixtHf7 = {}
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._run_make_parcellation, _R8IKF5IwAfX, ZlbFMSG8gCoF, A0gVABhHjc3L, DcUiGA8VbBwg, LVbM98cKHD_o, PQK26459sb_5, pGmyM3ixtHf7) for (ZlbFMSG8gCoF, _R8IKF5IwAfX) in _kV_Bomx8PZ4(wR5_YWECjaY7)}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'G\x17\x1e\xac0\xb9\xc1+T\xd7-@'), '\144' + chr(5167 - 5066) + '\143' + chr(0b110 + 0o151) + '\x64' + chr(4365 - 4264))(chr(4169 - 4052) + chr(0b110101 + 0o77) + '\x66' + '\x2d' + chr(56)))()
if sAfvewKOcMW4:
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b't7\x08\xf3j\xa1\x98\x1c[\xe8\x12I\xdf\x1a,\xa8\xc1'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b101011 + 0o104) + '\x64' + chr(101))(chr(117) + chr(0b1110100) + '\146' + '\055' + '\x38')) and ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'p=\x12\xcav\xb1\x9a\x1dg\xec\x1e]\xe5\x10,\xaa\xc1\xfd'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(5204 - 5103))(chr(117) + chr(116) + chr(2611 - 2509) + chr(45) + chr(305 - 249)))(quiet=nzTpIcepk0o8(chr(48) + chr(0b100110 + 0o111) + chr(0b11011 + 0o26), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b't7\x08\xf3j\xa1\x98\x1c'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(100) + chr(0b1100101))(chr(0b1010011 + 0o42) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))) > nzTpIcepk0o8(chr(0b110000) + chr(0b1001101 + 0o42) + '\x30', 8):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'};+\xffH\x9b\xc24\\\xa04I'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101 + 0o0))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'g1\x16\xf0i\xbd\x98\x1d'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + chr(0b10 + 0o142) + chr(101))(chr(117) + '\x74' + '\146' + '\x2d' + chr(0b111000))))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'd=\x12\xcau\xbd\x86\x1dh\xf1\x15\\'), '\144' + chr(101) + chr(2982 - 2883) + '\x6f' + chr(0b1011111 + 0o5) + '\x65')(chr(0b1110101) + '\164' + '\146' + chr(538 - 493) + '\070'))(roI3spqORKae(ES5oEprVxulp(b'c=\x08\xf0q\xbb\xa9'), chr(0b1100100) + chr(2943 - 2842) + '\143' + chr(111) + '\x64' + chr(101))('\165' + chr(12529 - 12413) + chr(0b11 + 0o143) + '\055' + chr(56)) + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'H\x07\x10\xf0w\xa7\x9f\x17j\xc7$'), chr(0b11011 + 0o111) + chr(4236 - 4135) + chr(0b1100011) + chr(10262 - 10151) + chr(0b1100100) + chr(448 - 347))(chr(117) + chr(116) + chr(254 - 152) + chr(0b11 + 0o52) + '\x38')))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'd=\x12\xcau\xbd\x86\x1dh\xf1\x15\\\xe5\x050\xa4\xc0\xe7\x87'), chr(0b1100100) + '\x65' + chr(99) + '\157' + chr(6027 - 5927) + '\x65')(chr(0b110 + 0o157) + chr(0b111001 + 0o73) + '\146' + '\055' + '\x38'))(roI3spqORKae(ES5oEprVxulp(b'g9\x14\xf6`\xb8\x9a\x19p\xf1\x14W'), chr(0b1100100) + chr(0b1011101 + 0o10) + chr(99) + chr(111) + '\x64' + chr(5914 - 5813))(chr(0b1110 + 0o147) + '\164' + chr(4484 - 4382) + chr(45) + '\070'))
if A0gVABhHjc3L:
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'd=\x12\xcag\xbd\x92\x0b[\xec\x1a^\xc9'), '\x64' + '\145' + chr(0b1000101 + 0o36) + chr(0b111101 + 0o62) + '\x64' + chr(0b1000110 + 0o37))(chr(0b10011 + 0o142) + '\164' + chr(2885 - 2783) + chr(0b10001 + 0o34) + chr(0b110011 + 0o5)))({roI3spqORKae(ES5oEprVxulp(b's=\x15\xf6'), '\x64' + '\x65' + '\143' + chr(11125 - 11014) + chr(100) + '\145')(chr(117) + chr(116) + chr(0b1000100 + 0o42) + '\055' + chr(0b101001 + 0o17)): roI3spqORKae(A0gVABhHjc3L, roI3spqORKae(ES5oEprVxulp(b'[>4\xe7T\x9b\x8e\r@\xee\x15z'), chr(0b1100100) + '\x65' + chr(5288 - 5189) + chr(0b1101111) + chr(6280 - 6180) + chr(7932 - 7831))(chr(4789 - 4672) + chr(0b110 + 0o156) + chr(0b11111 + 0o107) + chr(0b101101) + chr(0b10010 + 0o46)))(roI3spqORKae(ES5oEprVxulp(b':'), '\x64' + chr(0b1100101) + '\143' + chr(0b1101111) + '\144' + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(45) + '\070'))[nzTpIcepk0o8(chr(1259 - 1211) + '\157' + chr(0b101101 + 0o4), 8)]})
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'd=\x12\xcag\xbd\x92\x0b[\xeb\x0e_\xdc\x1f='), chr(100) + chr(101) + '\x63' + chr(0b110101 + 0o72) + '\144' + '\145')('\x75' + chr(0b1110100) + chr(6275 - 6173) + '\055' + '\x38'))(roI3spqORKae(ES5oEprVxulp(b'e7\x0f'), chr(100) + chr(0b100101 + 0o100) + '\143' + chr(1634 - 1523) + '\x64' + chr(0b110110 + 0o57))(chr(0b111111 + 0o66) + '\x74' + chr(0b1100110) + '\055' + '\070'))
if YSDmRtBNQQoD:
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'e=\x0b\xfas\xb1\x95\x17j\xfe\x14L\xd4\x126'), chr(4702 - 4602) + chr(101) + chr(0b1001101 + 0o26) + '\x6f' + '\144' + '\145')(chr(0b1110101) + '\164' + chr(3237 - 3135) + chr(0b1011 + 0o42) + chr(56)))(clean_params=xWv7tVsDfJfz, transpose=None, njobs=em5eAK7ynp6O) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.communitydetection | def communitydetection(self, community_detection_params, community_type='temporal', tag=None, file_hdr=False, file_idx=False, njobs=None):
"""
Calls temporal_louvain_with_consensus on connectivity data
Parameters
----------
community_detection_params : dict
kwargs for detection. See teneto.communitydetection.louvain.temporal_louvain_with_consensus
community_type : str
Either 'temporal' or 'static'. If temporal, community is made per time-point for each timepoint.
file_idx : bool (default false)
if true, index column present in data and this will be ignored
file_hdr : bool (default false)
if true, header row present in data and this will be ignored
njobs : int
number of processes to run. Overrides TenetoBIDS.njobs
Note
----
All non-positive edges are made to zero.
Returns
-------
List of communities for each subject. Saved in BIDS_dir/derivatives/teneto/communitydetection/
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if community_type == 'temporal':
files = self.get_selected_files(quiet=True)
# Run check to make sure files are tvc input
for f in files:
if 'tvc' not in f:
raise ValueError(
'tvc tag not found in filename. TVC data must be used in communitydetection (perhaps run TenetoBIDS.derive first?).')
elif community_type == 'static':
files = self.get_selected_files(
quiet=True, pipeline='functionalconnectivity')
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._run_communitydetection, f, community_detection_params, community_type, file_hdr,
file_idx, tag) for i, f in enumerate(files) if all([t + '_' in f or t + '.' in f for t in tag])}
for j in as_completed(job):
j.result() | python | def communitydetection(self, community_detection_params, community_type='temporal', tag=None, file_hdr=False, file_idx=False, njobs=None):
"""
Calls temporal_louvain_with_consensus on connectivity data
Parameters
----------
community_detection_params : dict
kwargs for detection. See teneto.communitydetection.louvain.temporal_louvain_with_consensus
community_type : str
Either 'temporal' or 'static'. If temporal, community is made per time-point for each timepoint.
file_idx : bool (default false)
if true, index column present in data and this will be ignored
file_hdr : bool (default false)
if true, header row present in data and this will be ignored
njobs : int
number of processes to run. Overrides TenetoBIDS.njobs
Note
----
All non-positive edges are made to zero.
Returns
-------
List of communities for each subject. Saved in BIDS_dir/derivatives/teneto/communitydetection/
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if community_type == 'temporal':
files = self.get_selected_files(quiet=True)
# Run check to make sure files are tvc input
for f in files:
if 'tvc' not in f:
raise ValueError(
'tvc tag not found in filename. TVC data must be used in communitydetection (perhaps run TenetoBIDS.derive first?).')
elif community_type == 'static':
files = self.get_selected_files(
quiet=True, pipeline='functionalconnectivity')
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(self._run_communitydetection, f, community_detection_params, community_type, file_hdr,
file_idx, tag) for i, f in enumerate(files) if all([t + '_' in f or t + '.' in f for t in tag])}
for j in as_completed(job):
j.result() | [
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... | Calls temporal_louvain_with_consensus on connectivity data
Parameters
----------
community_detection_params : dict
kwargs for detection. See teneto.communitydetection.louvain.temporal_louvain_with_consensus
community_type : str
Either 'temporal' or 'static'. If temporal, community is made per time-point for each timepoint.
file_idx : bool (default false)
if true, index column present in data and this will be ignored
file_hdr : bool (default false)
if true, header row present in data and this will be ignored
njobs : int
number of processes to run. Overrides TenetoBIDS.njobs
Note
----
All non-positive edges are made to zero.
Returns
-------
List of communities for each subject. Saved in BIDS_dir/derivatives/teneto/communitydetection/ | [
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"data"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L950-L1001 | train | Calls temporal_louvain_with_consensus on connectivity data. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(55) + chr(48), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1 + 0o156) + chr(50) + chr(0b11111 + 0o22) + '\x33', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(49) + chr(0b110110) + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(1617 - 1569) + '\x6f' + chr(49) + chr(0b110000 + 0o6) + chr(55), 0o10), nzTpIcepk0o8('\x30' + chr(111) + '\x36' + chr(0b1001 + 0o54), 35954 - 35946), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + chr(49) + chr(0b110001), ord("\x08")), nzTpIcepk0o8(chr(1423 - 1375) + chr(11242 - 11131) + chr(2014 - 1964) + '\060' + chr(577 - 525), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(49) + chr(1708 - 1659) + chr(55), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(7454 - 7343) + '\x31' + chr(0b100100 + 0o23) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(1087 - 976) + '\x31' + '\x36' + '\x37', 8), nzTpIcepk0o8(chr(48) + '\157' + '\063' + '\x30' + chr(1733 - 1685), 0b1000), nzTpIcepk0o8('\060' + chr(0b1100000 + 0o17) + chr(1518 - 1468) + chr(1675 - 1623) + chr(2474 - 2419), 50522 - 50514), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + '\x36' + chr(627 - 576), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110010) + chr(1713 - 1658) + chr(773 - 722), 4352 - 4344), nzTpIcepk0o8(chr(0b10011 + 0o35) + '\157' + '\x33' + chr(50) + '\063', 36410 - 36402), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\062' + '\067', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b11011 + 0o26) + chr(0b110110) + '\x30', 32549 - 32541), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x32' + chr(0b110101) + chr(403 - 354), 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(111) + '\x32' + chr(0b110110), 0o10), nzTpIcepk0o8(chr(575 - 527) + '\157' + chr(0b110011) + '\x35' + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(2098 - 2050) + chr(0b1101111) + chr(0b1111 + 0o43) + chr(0b101001 + 0o14) + '\x34', 25701 - 25693), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110010) + '\062' + chr(1555 - 1501), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110011) + '\061' + '\x35', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110011) + '\062' + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b10011 + 0o40) + chr(0b11010 + 0o35) + chr(49), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110111) + '\065', 0b1000), nzTpIcepk0o8('\060' + chr(483 - 372) + '\x33' + chr(0b110110) + chr(355 - 303), 0b1000), nzTpIcepk0o8('\060' + chr(111) + '\x31' + chr(0b1001 + 0o47) + chr(327 - 277), 0o10), nzTpIcepk0o8('\x30' + chr(12209 - 12098) + chr(0b11000 + 0o31) + '\062' + chr(0b11 + 0o61), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(6223 - 6112) + chr(1970 - 1920) + '\060' + chr(0b11010 + 0o30), 0b1000), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(5471 - 5360) + '\x33' + '\060' + chr(587 - 534), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(2331 - 2280) + chr(54) + chr(1448 - 1400), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1010111 + 0o30) + chr(0b110011) + chr(0b100001 + 0o23) + chr(0b111 + 0o52), ord("\x08")), nzTpIcepk0o8(chr(1548 - 1500) + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o40) + chr(0b100010 + 0o22), 54325 - 54317), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + '\x33' + chr(232 - 184) + chr(0b11111 + 0o27), 0o10), nzTpIcepk0o8(chr(0b100 + 0o54) + '\157' + chr(53) + chr(1751 - 1703), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b11000 + 0o31) + '\063' + chr(0b1100 + 0o53), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(593 - 540) + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\064' + chr(0b110000), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(931 - 883) + '\157' + chr(1487 - 1434) + chr(1666 - 1618), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd6'), chr(100) + '\145' + '\x63' + chr(0b1100000 + 0o17) + '\144' + chr(101))(chr(117) + chr(0b1110010 + 0o2) + chr(0b1000110 + 0o40) + chr(45) + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def hzoztyHsX8Go(hXMPsSrOQzbh, KtTjab2cgoKj, pV6P_9obBuB9=roI3spqORKae(ES5oEprVxulp(b'\x8c\xee\x18\x07Z\xbb\xe5#'), chr(7771 - 7671) + chr(3875 - 3774) + '\x63' + chr(0b1100010 + 0o15) + chr(100) + chr(101))('\x75' + '\x74' + '\146' + chr(850 - 805) + chr(56)), A0gVABhHjc3L=None, Z6MHbisDoBdx=nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110000), 0b1000), JoGLjx5sD9yO=nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100101 + 0o13), 8), em5eAK7ynp6O=None):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x99\xef\x11(]\xa0\xf7;\x13\x05\xb9'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(5063 - 4947) + chr(102) + chr(0b10011 + 0o32) + chr(56)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'\xbf\xe6?.L\xb3\xdc.-6\xba\xe4'), chr(9904 - 9804) + chr(101) + '\x63' + '\157' + '\x64' + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b11011 + 0o22) + chr(0b10000 + 0o50)))()[nzTpIcepk0o8(chr(48) + chr(111) + '\060', 8)][nzTpIcepk0o8(chr(48) + chr(0b1100000 + 0o17) + chr(51), 0b1000)], y0cCpS6dh4OT(), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001), 0o10))
if not A0gVABhHjc3L:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(8890 - 8789))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b111000))
else:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b'\x9c\xee\x06\x14\x18'), '\144' + chr(0b1100101) + '\x63' + chr(7766 - 7655) + chr(115 - 15) + chr(0b1100001 + 0o4))('\x75' + '\x74' + chr(0b1100110) + chr(45) + chr(0b111000)) + A0gVABhHjc3L
if pV6P_9obBuB9 == roI3spqORKae(ES5oEprVxulp(b'\x8c\xee\x18\x07Z\xbb\xe5#'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(7552 - 7452) + chr(8556 - 8455))('\x75' + chr(8927 - 8811) + '\x66' + '\055' + '\070'):
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(1943 - 1895) + '\x6f' + chr(0b110001), 8))
for _R8IKF5IwAfX in wR5_YWECjaY7:
if roI3spqORKae(ES5oEprVxulp(b'\x8c\xfd\x16'), chr(0b1100001 + 0o3) + '\x65' + '\x63' + chr(0b1101111) + chr(100) + '\x65')(chr(2389 - 2272) + chr(6691 - 6575) + chr(0b1100110) + '\055' + chr(0b11010 + 0o36)) not in _R8IKF5IwAfX:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b"\x8c\xfd\x16WA\xa8\xe3o\x12\x18\xb4\x87\xd5i\xce\xbdsP\xc0x\xcf\xca\xff\xa1\xb0\x97\\\x99'z\xa2\x91\xa6\xa2d\xa2I+O\x00\x95\xfe\x06\x03\x15\xab\xe1o\t\x04\xa5\xc3\x93o\xd5\xf3t\x1f\xc4{\x9a\xc2\xff\xb9\xac\x9dX\x80'7\xf6\xac\x9f\x8fd\xeeX:\\H\x99\xfb\x06WG\xbc\xeao(\x12\xae\xc2\xc7i\xf9\x9aS#\x87r\x8a\xde\xff\xbb\xb0\xd9[\x9d0'\xf6\xfa\xd9\xcf"), chr(0b110 + 0o136) + '\145' + chr(0b111 + 0o134) + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + chr(0b11101 + 0o20) + chr(2285 - 2229)))
elif pV6P_9obBuB9 == roI3spqORKae(ES5oEprVxulp(b'\x8b\xff\x14\x03\\\xaa'), chr(0b1000 + 0o134) + '\145' + chr(99) + '\x6f' + chr(0b11000 + 0o114) + chr(0b11111 + 0o106))('\165' + '\x74' + '\x66' + chr(45) + chr(810 - 754)):
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + chr(2950 - 2839) + chr(735 - 686), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'\x9e\xfe\x1b\x14A\xa0\xeb!\x1d\x1b\xa3\xc8\xddh\xde\xb0c\x19\xdf\x7f\x9b\xd5'), chr(100) + chr(0b1011110 + 0o7) + chr(0b1100011) + chr(111) + chr(0b1100100) + '\x65')(chr(0b110110 + 0o77) + chr(0b1110100) + chr(8986 - 8884) + chr(0b101101) + chr(0b111000)))
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._run_communitydetection, _R8IKF5IwAfX, KtTjab2cgoKj, pV6P_9obBuB9, Z6MHbisDoBdx, JoGLjx5sD9yO, A0gVABhHjc3L) for (ZlbFMSG8gCoF, _R8IKF5IwAfX) in _kV_Bomx8PZ4(wR5_YWECjaY7) if qX60lO1lgHA5([h3Vc_4wxEbgd + roI3spqORKae(ES5oEprVxulp(b'\xa7'), chr(100) + chr(5215 - 5114) + chr(9448 - 9349) + chr(111) + chr(100) + '\x65')(chr(0b1110101) + '\164' + chr(0b110110 + 0o60) + chr(45) + chr(1352 - 1296)) in _R8IKF5IwAfX or h3Vc_4wxEbgd + roI3spqORKae(ES5oEprVxulp(b'\xd6'), '\x64' + '\145' + chr(99) + '\x6f' + chr(0b1011101 + 0o7) + chr(7038 - 6937))(chr(0b1000000 + 0o65) + chr(0b1010100 + 0o40) + '\146' + '\x2d' + chr(2865 - 2809)) in _R8IKF5IwAfX for h3Vc_4wxEbgd in A0gVABhHjc3L])}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'\xa8\xc4\rN\x00\xa4\xb3\x1c,8\x96\xde'), chr(0b1100100) + chr(0b1100101) + chr(0b11110 + 0o105) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(0b11000 + 0o116) + chr(1655 - 1610) + '\070'))() |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.removeconfounds | def removeconfounds(self, confounds=None, clean_params=None, transpose=None, njobs=None, update_pipeline=True, overwrite=True, tag=None):
"""
Removes specified confounds using nilearn.signal.clean
Parameters
----------
confounds : list
List of confounds. Can be prespecified in set_confounds
clean_params : dict
Dictionary of kawgs to pass to nilearn.signal.clean
transpose : bool (default False)
Default removeconfounds works on time,node dimensions. Pass transpose=True to transpose pre and post confound removal.
njobs : int
Number of jobs. Otherwise tenetoBIDS.njobs is run.
update_pipeline : bool
update pipeline with '_clean' tag for new files created
overwrite : bool
tag : str
Returns
-------
Says all TenetBIDS.get_selected_files with confounds removed with _rmconfounds at the end.
Note
----
There may be some issues regarding loading non-cleaned data through the TenetoBIDS functions instead of the cleaned data. This depeneds on when you clean the data.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
if not self.confounds and not confounds:
raise ValueError(
'Specified confounds are not found. Make sure that you have run self.set_confunds([\'Confound1\',\'Confound2\']) first or pass confounds as input to function.')
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if confounds:
self.set_confounds(confounds)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
if not clean_params:
clean_params = {}
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_removeconfounds, f, confound_files[i], clean_params, transpose, overwrite, tag) for i, f in enumerate(files)}
for j in as_completed(job):
j.result()
self.set_pipeline('teneto_' + teneto.__version__)
self.set_bids_suffix('roi')
if tag:
self.set_bids_tags({'desc': tag.split('-')[1]}) | python | def removeconfounds(self, confounds=None, clean_params=None, transpose=None, njobs=None, update_pipeline=True, overwrite=True, tag=None):
"""
Removes specified confounds using nilearn.signal.clean
Parameters
----------
confounds : list
List of confounds. Can be prespecified in set_confounds
clean_params : dict
Dictionary of kawgs to pass to nilearn.signal.clean
transpose : bool (default False)
Default removeconfounds works on time,node dimensions. Pass transpose=True to transpose pre and post confound removal.
njobs : int
Number of jobs. Otherwise tenetoBIDS.njobs is run.
update_pipeline : bool
update pipeline with '_clean' tag for new files created
overwrite : bool
tag : str
Returns
-------
Says all TenetBIDS.get_selected_files with confounds removed with _rmconfounds at the end.
Note
----
There may be some issues regarding loading non-cleaned data through the TenetoBIDS functions instead of the cleaned data. This depeneds on when you clean the data.
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
if not self.confounds and not confounds:
raise ValueError(
'Specified confounds are not found. Make sure that you have run self.set_confunds([\'Confound1\',\'Confound2\']) first or pass confounds as input to function.')
if not tag:
tag = ''
else:
tag = 'desc-' + tag
if confounds:
self.set_confounds(confounds)
files = sorted(self.get_selected_files(quiet=1))
confound_files = sorted(
self.get_selected_files(quiet=1, pipeline='confound'))
files, confound_files = confound_matching(files, confound_files)
if not clean_params:
clean_params = {}
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_removeconfounds, f, confound_files[i], clean_params, transpose, overwrite, tag) for i, f in enumerate(files)}
for j in as_completed(job):
j.result()
self.set_pipeline('teneto_' + teneto.__version__)
self.set_bids_suffix('roi')
if tag:
self.set_bids_tags({'desc': tag.split('-')[1]}) | [
"def",
"removeconfounds",
"(",
"self",
",",
"confounds",
"=",
"None",
",",
"clean_params",
"=",
"None",
",",
"transpose",
"=",
"None",
",",
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"=",
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",",
"update_pipeline",
"=",
"True",
",",
"overwrite",
"=",
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",",
"tag",
"=",
"None",... | Removes specified confounds using nilearn.signal.clean
Parameters
----------
confounds : list
List of confounds. Can be prespecified in set_confounds
clean_params : dict
Dictionary of kawgs to pass to nilearn.signal.clean
transpose : bool (default False)
Default removeconfounds works on time,node dimensions. Pass transpose=True to transpose pre and post confound removal.
njobs : int
Number of jobs. Otherwise tenetoBIDS.njobs is run.
update_pipeline : bool
update pipeline with '_clean' tag for new files created
overwrite : bool
tag : str
Returns
-------
Says all TenetBIDS.get_selected_files with confounds removed with _rmconfounds at the end.
Note
----
There may be some issues regarding loading non-cleaned data through the TenetoBIDS functions instead of the cleaned data. This depeneds on when you clean the data. | [
"Removes",
"specified",
"confounds",
"using",
"nilearn",
".",
"signal",
".",
"clean"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1036-L1094 | train | This function removes specified confounds from the selected files. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(9261 - 9150) + chr(1794 - 1743) + chr(946 - 898), 0o10), nzTpIcepk0o8('\060' + '\x6f' + '\062' + chr(0b110111) + chr(388 - 340), 0b1000), nzTpIcepk0o8(chr(1673 - 1625) + chr(0b1101111) + '\062' + chr(0b1111 + 0o41) + chr(1580 - 1526), 64447 - 64439), nzTpIcepk0o8(chr(1233 - 1185) + chr(5722 - 5611) + chr(623 - 574) + chr(52) + chr(177 - 129), 0b1000), nzTpIcepk0o8('\060' + chr(11459 - 11348) + chr(1346 - 1291), 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110011) + chr(0b110101) + '\061', 0o10), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b100100 + 0o113) + chr(0b1100 + 0o46) + chr(0b110111) + chr(0b110110), 16687 - 16679), nzTpIcepk0o8(chr(48) + chr(4642 - 4531) + '\066' + chr(50), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + '\061' + '\x30' + chr(0b11101 + 0o31), ord("\x08")), nzTpIcepk0o8(chr(1295 - 1247) + chr(111) + '\061' + chr(1333 - 1284) + '\065', 0o10), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(1228 - 1117) + '\x35' + chr(54), 0b1000), nzTpIcepk0o8(chr(190 - 142) + '\157' + '\062' + chr(0b110010), 0o10), nzTpIcepk0o8(chr(571 - 523) + '\x6f' + chr(0b11000 + 0o33) + chr(0b110110) + '\x30', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001) + chr(0b110010) + '\x33', 0o10), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110011) + chr(1671 - 1623), 8), nzTpIcepk0o8(chr(442 - 394) + chr(0b1011000 + 0o27) + chr(0b0 + 0o63) + chr(0b10110 + 0o40) + chr(54), 29382 - 29374), nzTpIcepk0o8(chr(0b110000) + chr(7404 - 7293) + chr(49) + chr(0b110001) + chr(0b11 + 0o56), 21608 - 21600), nzTpIcepk0o8('\x30' + '\157' + chr(0b10111 + 0o33) + chr(1493 - 1444) + chr(0b110001), 5745 - 5737), nzTpIcepk0o8('\060' + chr(111) + chr(50) + chr(0b1101 + 0o46) + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + chr(49) + '\x32' + '\x30', 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(0b11111 + 0o22) + chr(53) + chr(0b110111), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b100010 + 0o20) + chr(0b110110) + '\x34', 0o10), nzTpIcepk0o8('\x30' + chr(853 - 742) + chr(0b110010) + chr(0b100011 + 0o20) + '\061', 0b1000), nzTpIcepk0o8(chr(48) + chr(111) + '\x32' + chr(331 - 279) + chr(52), 33455 - 33447), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + chr(2013 - 1964) + chr(0b1110 + 0o43) + chr(0b11110 + 0o30), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x31' + chr(53) + '\065', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\x33' + chr(0b110110) + chr(0b10001 + 0o41), 0o10), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + '\067' + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b1011 + 0o45) + '\157' + '\061' + chr(0b110010 + 0o3), 58628 - 58620), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + '\x37' + chr(0b101010 + 0o6), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(51) + chr(48) + '\062', 0b1000), nzTpIcepk0o8(chr(88 - 40) + '\157' + '\x36', 10679 - 10671), nzTpIcepk0o8(chr(1659 - 1611) + chr(0b1101 + 0o142) + '\062' + '\x33' + chr(49), 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\062' + chr(416 - 366) + '\066', ord("\x08")), nzTpIcepk0o8(chr(1734 - 1686) + chr(2446 - 2335) + chr(50) + '\063' + chr(0b101 + 0o56), 417 - 409), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(3516 - 3405) + chr(0b110001) + chr(0b11100 + 0o25) + chr(49), 8), nzTpIcepk0o8('\x30' + chr(4206 - 4095) + chr(497 - 446) + chr(1288 - 1239) + '\x31', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(0b110111) + chr(0b110111), 0b1000), nzTpIcepk0o8('\x30' + chr(6632 - 6521) + '\062' + chr(0b110101) + chr(50), 9617 - 9609), nzTpIcepk0o8(chr(118 - 70) + chr(0b1001 + 0o146) + chr(0b0 + 0o61) + chr(54) + '\x32', 5771 - 5763)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + '\x6f' + chr(53) + chr(0b110000), 22925 - 22917)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'6'), '\144' + '\x65' + '\x63' + chr(0b10010 + 0o135) + '\x64' + chr(123 - 22))('\165' + chr(0b1110100) + chr(3437 - 3335) + '\055' + chr(0b11011 + 0o35)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def YSDmRtBNQQoD(hXMPsSrOQzbh, Qo_meNdivh9q=None, xWv7tVsDfJfz=None, xewHV_knOa6b=None, em5eAK7ynp6O=None, sAfvewKOcMW4=nzTpIcepk0o8(chr(112 - 64) + chr(10028 - 9917) + chr(1673 - 1624), ord("\x08")), JewFVgkSGnBd=nzTpIcepk0o8(chr(2188 - 2140) + chr(4825 - 4714) + '\x31', 8), A0gVABhHjc3L=None):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'y\xdc\xe2?o\x80\xcdF)?W'), '\144' + '\x65' + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(6776 - 6659) + chr(0b100110 + 0o116) + chr(0b1100110) + chr(0b101101) + chr(2702 - 2646)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'_\xd5\xcc9~\x93\xe6S\x17\x0cTQ'), chr(7947 - 7847) + chr(0b1100101) + '\x63' + chr(0b111101 + 0o62) + '\144' + chr(1664 - 1563))(chr(7966 - 7849) + '\x74' + chr(102) + chr(0b101101) + '\070'))()[nzTpIcepk0o8(chr(0b100111 + 0o11) + '\157' + chr(48), 38741 - 38733)][nzTpIcepk0o8(chr(566 - 518) + chr(0b1000101 + 0o52) + '\063', 0o10)], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(1110 - 1062) + chr(0b1100111 + 0o10) + '\x31', 8))
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'{\xd7\xe8\x06h\x9c\xd0V5'), chr(0b1100100) + chr(0b1100101) + chr(0b111111 + 0o44) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + chr(8781 - 8679) + chr(0b101101) + chr(0b1000 + 0o60))) and (not Qo_meNdivh9q):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'K\xc8\xe3\x03n\x8f\xd7W"mM}\x9e5w\x83\'\xed\xecp\x0e\xc6\xfc\x84 \x02\x86\\k\x17\xb7h\xfd\xb8\xbb\x04\xa8T\xcfRk\xcd\xf4\x05\'\x9d\xd6S2mW}\x85sp\x97?\xec\xbf"\x1a\xda\xb9\xd7+\x01\x94R~\x1d\xb6Y\xfa\xf9\xf5/\xbcQ\xce\x010\xe3\xa1#h\x87\xd8]3#J#\xd7\x7f?\xb5&\xe7\xf9?\x1a\xda\xfd\x96i0\xdb\\k\x11\xb0u\xed\xb6\xf4;\xe9O\xcb\x01k\x98\xe5\x0fi\x8f\xd1G()]2\x91 8\x9f\'\xf9\xea$O\xc0\xf6\x84(\x18\x9c\x1fy\x11\xadh\xb7'), chr(0b1100100) + '\x65' + '\x63' + chr(0b101100 + 0o103) + '\144' + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(45) + '\x38'))
if not A0gVABhHjc3L:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b''), '\x64' + chr(0b1100101) + chr(99) + chr(6691 - 6580) + '\144' + chr(0b1100101))('\165' + '\164' + '\x66' + '\x2d' + '\x38')
else:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b'|\xdd\xf5\x03*'), chr(9345 - 9245) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1000111 + 0o35) + chr(101))('\x75' + '\x74' + chr(0b1100110) + chr(0b101001 + 0o4) + chr(56)) + A0gVABhHjc3L
if Qo_meNdivh9q:
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'k\xdd\xf2?d\x86\xd0T)8@v\x83'), chr(478 - 378) + chr(0b11100 + 0o111) + chr(99) + chr(0b10100 + 0o133) + chr(100) + chr(0b1100101))(chr(117) + chr(12323 - 12207) + chr(4956 - 4854) + '\055' + chr(56)))(Qo_meNdivh9q)
wR5_YWECjaY7 = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + chr(9477 - 9366) + '\x31', 8)))
WY6lh1o4QBLb = V3OlOVg98A85(hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(111) + chr(632 - 583), 8), pipeline=roI3spqORKae(ES5oEprVxulp(b'{\xd7\xe8\x06h\x9c\xd0V'), chr(100) + chr(0b110010 + 0o63) + chr(2331 - 2232) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(2831 - 2715) + '\146' + '\x2d' + chr(1180 - 1124))))
(wR5_YWECjaY7, WY6lh1o4QBLb) = ghexN1eemnKx(wR5_YWECjaY7, WY6lh1o4QBLb)
if not xWv7tVsDfJfz:
xWv7tVsDfJfz = {}
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._run_removeconfounds, _R8IKF5IwAfX, WY6lh1o4QBLb[ZlbFMSG8gCoF], xWv7tVsDfJfz, xewHV_knOa6b, JewFVgkSGnBd, A0gVABhHjc3L) for (ZlbFMSG8gCoF, _R8IKF5IwAfX) in _kV_Bomx8PZ4(wR5_YWECjaY7)}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'H\xf7\xfeY2\x84\x89a\x16\x02xk'), '\x64' + chr(0b11000 + 0o115) + chr(6365 - 6266) + '\x6f' + chr(100) + chr(0b11000 + 0o115))(chr(0b1100101 + 0o20) + chr(0b1110100) + chr(1867 - 1765) + chr(938 - 893) + chr(0b111000)))()
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'k\xdd\xf2?w\x80\xceW*$@w'), chr(0b1100100) + chr(101) + '\x63' + chr(111) + chr(1430 - 1330) + chr(0b1100101))(chr(0b100111 + 0o116) + chr(0b1110100) + '\146' + chr(0b100011 + 0o12) + chr(0b111000)))(roI3spqORKae(ES5oEprVxulp(b'l\xdd\xe8\x05s\x86\xe1'), chr(3297 - 3197) + '\145' + chr(0b1100011) + chr(0b110000 + 0o77) + chr(100) + chr(0b1100101))('\x75' + chr(9290 - 9174) + '\x66' + chr(0b111 + 0o46) + '\x38') + roI3spqORKae(mfNgQb_vYBmS, roI3spqORKae(ES5oEprVxulp(b'G\xe7\xf0\x05u\x9a\xd7](\x12q'), chr(2182 - 2082) + chr(1948 - 1847) + chr(0b11010 + 0o111) + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(116) + chr(102) + '\055' + chr(0b100011 + 0o25))))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'k\xdd\xf2?e\x80\xdaA\x19>[t\x96:`'), '\x64' + '\145' + '\x63' + chr(8673 - 8562) + '\144' + chr(0b1100101))('\x75' + chr(2392 - 2276) + '\x66' + chr(313 - 268) + chr(0b111000)))(roI3spqORKae(ES5oEprVxulp(b'j\xd7\xef'), chr(100) + chr(0b11110 + 0o107) + chr(99) + '\157' + chr(9134 - 9034) + '\145')('\x75' + chr(12690 - 12574) + chr(0b1100110) + '\x2d' + chr(56)))
if A0gVABhHjc3L:
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'k\xdd\xf2?e\x80\xdaA\x199Ou\x83'), '\144' + chr(8023 - 7922) + '\x63' + '\x6f' + chr(0b1000000 + 0o44) + chr(6967 - 6866))(chr(0b1110101) + '\164' + chr(102) + '\055' + '\x38'))({roI3spqORKae(ES5oEprVxulp(b'|\xdd\xf5\x03'), chr(2250 - 2150) + '\x65' + '\143' + chr(0b1010101 + 0o32) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\x74' + chr(0b1100110) + chr(1472 - 1427) + chr(56)): roI3spqORKae(A0gVABhHjc3L, roI3spqORKae(ES5oEprVxulp(b'T\xde\xd4\x12V\xa6\xc6G\x02;@Q'), '\144' + '\145' + '\x63' + chr(2679 - 2568) + chr(0b10011 + 0o121) + chr(0b1100101))(chr(0b1110101) + chr(9260 - 9144) + chr(0b1100110) + chr(1032 - 987) + chr(0b0 + 0o70)))(roI3spqORKae(ES5oEprVxulp(b'5'), chr(0b1100100) + chr(101) + chr(0b111110 + 0o45) + chr(111) + '\x64' + chr(2133 - 2032))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)))[nzTpIcepk0o8('\x30' + '\157' + chr(0b110001), 8)]}) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.networkmeasures | def networkmeasures(self, measure=None, measure_params=None, tag=None, njobs=None):
"""
Calculates a network measure
For available funcitons see: teneto.networkmeasures
Parameters
----------
measure : str or list
Mame of function(s) from teneto.networkmeasures that will be run.
measure_params : dict or list of dctionaries)
Containing kwargs for the argument in measure.
See note regarding Communities key.
tag : str
Add additional tag to saved filenames.
Note
----
In measure_params, if communities can equal 'template', 'static', or 'temporal'.
These options must be precalculated. If template, Teneto tries to load default for parcellation. If static, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-static....npy. If temporal, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-temporal....npy
Returns
-------
Saves in ./BIDS_dir/derivatives/teneto/sub-NAME/func//temporalnetwork/MEASURE/
Load the measure with tenetoBIDS.load_network_measure
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
# measure can be string or list
if isinstance(measure, str):
measure = [measure]
# measure_params can be dictionaary or list of dictionaries
if isinstance(measure_params, dict):
measure_params = [measure_params]
if measure_params and len(measure) != len(measure_params):
raise ValueError('Number of identified measure_params (' + str(len(measure_params)) +
') differs from number of identified measures (' + str(len(measure)) + '). Leave black dictionary if default methods are wanted')
files = self.get_selected_files(quiet=1)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_networkmeasures, f, tag, measure, measure_params) for f in files}
for j in as_completed(job):
j.result() | python | def networkmeasures(self, measure=None, measure_params=None, tag=None, njobs=None):
"""
Calculates a network measure
For available funcitons see: teneto.networkmeasures
Parameters
----------
measure : str or list
Mame of function(s) from teneto.networkmeasures that will be run.
measure_params : dict or list of dctionaries)
Containing kwargs for the argument in measure.
See note regarding Communities key.
tag : str
Add additional tag to saved filenames.
Note
----
In measure_params, if communities can equal 'template', 'static', or 'temporal'.
These options must be precalculated. If template, Teneto tries to load default for parcellation. If static, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-static....npy. If temporal, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-temporal....npy
Returns
-------
Saves in ./BIDS_dir/derivatives/teneto/sub-NAME/func//temporalnetwork/MEASURE/
Load the measure with tenetoBIDS.load_network_measure
"""
if not njobs:
njobs = self.njobs
self.add_history(inspect.stack()[0][3], locals(), 1)
# measure can be string or list
if isinstance(measure, str):
measure = [measure]
# measure_params can be dictionaary or list of dictionaries
if isinstance(measure_params, dict):
measure_params = [measure_params]
if measure_params and len(measure) != len(measure_params):
raise ValueError('Number of identified measure_params (' + str(len(measure_params)) +
') differs from number of identified measures (' + str(len(measure)) + '). Leave black dictionary if default methods are wanted')
files = self.get_selected_files(quiet=1)
if not tag:
tag = ''
else:
tag = 'desc-' + tag
with ProcessPoolExecutor(max_workers=njobs) as executor:
job = {executor.submit(
self._run_networkmeasures, f, tag, measure, measure_params) for f in files}
for j in as_completed(job):
j.result() | [
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"add_his... | Calculates a network measure
For available funcitons see: teneto.networkmeasures
Parameters
----------
measure : str or list
Mame of function(s) from teneto.networkmeasures that will be run.
measure_params : dict or list of dctionaries)
Containing kwargs for the argument in measure.
See note regarding Communities key.
tag : str
Add additional tag to saved filenames.
Note
----
In measure_params, if communities can equal 'template', 'static', or 'temporal'.
These options must be precalculated. If template, Teneto tries to load default for parcellation. If static, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-static....npy. If temporal, loads static communities
in BIDS_dir/teneto_<version>/sub-.../func/communities/..._communitytype-temporal....npy
Returns
-------
Saves in ./BIDS_dir/derivatives/teneto/sub-NAME/func//temporalnetwork/MEASURE/
Load the measure with tenetoBIDS.load_network_measure | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1153-L1209 | train | Calculates a network measure for the specified function. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b110000) + '\157' + chr(0b110011) + chr(0b110001) + '\063', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + '\x35' + '\x31', 55828 - 55820), nzTpIcepk0o8(chr(48) + chr(4194 - 4083) + '\062' + '\x31' + '\065', 0b1000), nzTpIcepk0o8(chr(1309 - 1261) + chr(1850 - 1739) + '\062' + '\x31' + '\x32', 0o10), nzTpIcepk0o8('\060' + chr(0b111001 + 0o66) + '\067' + chr(50), 26400 - 26392), nzTpIcepk0o8('\060' + chr(0b1001000 + 0o47) + '\x31' + chr(55) + chr(0b110001), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b111 + 0o53) + '\x32' + chr(1673 - 1618), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1492 - 1443) + chr(0b110000), 33500 - 33492), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(52) + '\x33', 0o10), nzTpIcepk0o8('\x30' + '\157' + '\061' + chr(53) + '\067', 51643 - 51635), nzTpIcepk0o8('\x30' + '\157' + '\066' + chr(2092 - 2042), 0o10), nzTpIcepk0o8(chr(959 - 911) + chr(111) + '\061' + '\064' + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(119 - 71) + chr(0b101100 + 0o103) + chr(49) + chr(0b110010) + chr(2601 - 2546), 12288 - 12280), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(50) + chr(1599 - 1551) + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + '\061' + chr(0b11000 + 0o37), 0b1000), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\157' + chr(0b101111 + 0o2) + chr(545 - 491) + '\x33', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\x33' + '\065' + chr(0b1 + 0o64), 65325 - 65317), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(0b1101111) + chr(0b110011) + '\064' + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(0b1011 + 0o45) + chr(2737 - 2626) + '\x32' + chr(0b1111 + 0o47) + '\063', 0b1000), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(111) + '\x33' + chr(0b110011) + chr(1135 - 1084), 0o10), nzTpIcepk0o8(chr(0b11100 + 0o24) + '\x6f' + chr(50) + chr(50) + chr(53), 15594 - 15586), nzTpIcepk0o8(chr(674 - 626) + '\x6f' + chr(0b110010) + chr(2150 - 2100), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b100000 + 0o24) + chr(119 - 71), ord("\x08")), nzTpIcepk0o8('\x30' + '\157' + chr(0b110010) + chr(136 - 87), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b111 + 0o150) + chr(49) + '\067' + chr(55), 0b1000), nzTpIcepk0o8('\060' + chr(402 - 291) + '\x33' + '\063', 45979 - 45971), nzTpIcepk0o8(chr(0b110000) + chr(0b1101101 + 0o2) + '\066' + chr(0b1111 + 0o47), 0b1000), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1101000 + 0o7) + chr(50) + '\064' + chr(0b110000), 7466 - 7458), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(51) + '\065' + chr(0b100010 + 0o24), 60173 - 60165), nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(2410 - 2299) + chr(0b110010) + chr(0b11000 + 0o37) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(0b101111 + 0o1) + '\157' + chr(0b110001) + '\063' + chr(0b110010), 57124 - 57116), nzTpIcepk0o8('\x30' + chr(4912 - 4801) + '\063' + '\062' + chr(0b110011 + 0o4), 0b1000), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1101111) + chr(1278 - 1229) + chr(0b1101 + 0o52) + '\x32', 63942 - 63934), nzTpIcepk0o8('\x30' + chr(0b1001101 + 0o42) + chr(1304 - 1253) + chr(0b101011 + 0o11) + '\060', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(49) + chr(0b10101 + 0o33), 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(52) + chr(0b110000), 8), nzTpIcepk0o8(chr(0b0 + 0o60) + chr(0b0 + 0o157) + '\x33' + '\064' + chr(0b100100 + 0o15), 0o10), nzTpIcepk0o8(chr(0b1001 + 0o47) + '\x6f' + '\x33' + chr(0b110011) + chr(2142 - 2094), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + '\061' + '\x32' + '\x37', 8), nzTpIcepk0o8('\x30' + '\157' + chr(50) + '\x30' + chr(53), 8)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(0b101110 + 0o101) + chr(0b1111 + 0o46) + chr(0b110000), 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe5'), '\144' + '\145' + chr(432 - 333) + chr(0b1101111) + '\144' + '\x65')(chr(117) + chr(2184 - 2068) + chr(102) + chr(0b11011 + 0o22) + chr(56)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def VqR8bTDAVNTI(hXMPsSrOQzbh, eD5Jw5KZkmIm=None, rJj1rlYEPFYJ=None, A0gVABhHjc3L=None, em5eAK7ynp6O=None):
if not em5eAK7ynp6O:
em5eAK7ynp6O = hXMPsSrOQzbh.njobs
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xaa\r\xe9\xd5R\x10\xe4\xbcL\x1dK'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b111110 + 0o46) + '\x65')('\x75' + '\x74' + '\146' + chr(0b101101) + chr(411 - 355)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'\x8c\x04\xc7\xd3C\x03\xcf\xa9r.H&'), chr(0b1100100) + '\145' + chr(1053 - 954) + chr(111) + '\x64' + '\145')(chr(9359 - 9242) + chr(10775 - 10659) + chr(10172 - 10070) + chr(45) + chr(0b111000)))()[nzTpIcepk0o8('\060' + '\x6f' + chr(48), 34715 - 34707)][nzTpIcepk0o8(chr(0b110000) + chr(11323 - 11212) + chr(0b110011), 0b1000)], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(48) + chr(0b11001 + 0o126) + '\x31', ord("\x08")))
if suIjIS24Zkqw(eD5Jw5KZkmIm, N9zlRy29S1SS):
eD5Jw5KZkmIm = [eD5Jw5KZkmIm]
if suIjIS24Zkqw(rJj1rlYEPFYJ, znjnJWK64FDT):
rJj1rlYEPFYJ = [rJj1rlYEPFYJ]
if rJj1rlYEPFYJ and ftfygxgFas5X(eD5Jw5KZkmIm) != ftfygxgFas5X(rJj1rlYEPFYJ):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\x85\x1c\xe0\xe8_\x0b\xb7\xa7EO[\x012\xeb\xfb\x1a\x8b\x8e\xd6\xbf\xb5\x7fEp\x0cnD\xc5\xb1\xce;\xa5\x1b\x8d{\x00\xc9'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(8406 - 8295) + chr(0b1100100) + chr(0b1001 + 0o134))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b11000 + 0o25) + chr(0b111000)) + N9zlRy29S1SS(ftfygxgFas5X(rJj1rlYEPFYJ)) + roI3spqORKae(ES5oEprVxulp(b'\xe2I\xe9\xe3\\\x1f\xf2\xbaPOT\x178\xe8\xaf\x1d\x98\x8a\xd1\xbe\xe72Ow_rR\xc5\x80\xca3\xb1\x13\x85l\x00\x8c\xbd6\xf6\xbe\x1b\xe8\xf9\x1aQ'), '\x64' + '\x65' + chr(4951 - 4852) + chr(0b1001100 + 0o43) + chr(100) + '\145')(chr(0b1110101) + '\x74' + chr(0b110101 + 0o61) + chr(45) + chr(0b10000 + 0o50)) + N9zlRy29S1SS(ftfygxgFas5X(eD5Jw5KZkmIm)) + roI3spqORKae(ES5oEprVxulp(b'\xe2G\xad\xc6_\x18\xe1\xad\x03\r^\x044\xee\xaf\x17\x84\x84\xc7\xb2\xfa|Ac\x06;_\xc6\xce\xda?\xb1\x1b\x95dT\xc1\xb52\xf1\xa3\x06\xe9\xf9\x1a\x18\xe5\xad\x03\x18S\x0b#\xe0\xeb'), '\x64' + '\x65' + chr(0b1000101 + 0o36) + chr(111) + chr(0b110101 + 0o57) + chr(0b110101 + 0o60))(chr(0b1110101) + chr(0b110100 + 0o100) + '\146' + chr(0b100000 + 0o15) + '\070'))
wR5_YWECjaY7 = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b10111 + 0o32), 8))
if not A0gVABhHjc3L:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b''), '\x64' + chr(0b1001001 + 0o34) + chr(0b1100011) + chr(0b1101111) + chr(9170 - 9070) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1000010 + 0o44) + chr(0b101101) + chr(56))
else:
A0gVABhHjc3L = roI3spqORKae(ES5oEprVxulp(b'\xaf\x0c\xfe\xe9\x17'), chr(8142 - 8042) + chr(0b11001 + 0o114) + '\x63' + chr(0b1001111 + 0o40) + chr(679 - 579) + chr(8133 - 8032))(chr(9356 - 9239) + chr(0b1110100) + chr(102) + chr(0b100101 + 0o10) + chr(0b111000)) + A0gVABhHjc3L
with Pnagxz2L7z_7(max_workers=em5eAK7ynp6O) as zRfyNecFWLeI:
pDuVZERs4dR8 = {zRfyNecFWLeI.HbeYF4026bzq(hXMPsSrOQzbh._run_networkmeasures, _R8IKF5IwAfX, A0gVABhHjc3L, eD5Jw5KZkmIm, rJj1rlYEPFYJ) for _R8IKF5IwAfX in wR5_YWECjaY7}
for sChW4gUsXrIC in YGdyCKK4mM4D(pDuVZERs4dR8):
roI3spqORKae(sChW4gUsXrIC, roI3spqORKae(ES5oEprVxulp(b'\x9b&\xf5\xb3\x0f\x14\xa0\x9bs d\x1c'), chr(0b1000011 + 0o41) + '\x65' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(3821 - 3704) + chr(116) + chr(0b1010110 + 0o20) + chr(1938 - 1893) + '\x38'))() |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.set_confound_pipeline | def set_confound_pipeline(self, confound_pipeline):
"""
There may be times when the pipeline is updated (e.g. teneto) but you want the confounds from the preprocessing pipieline (e.g. fmriprep).
To do this, you set the confound_pipeline to be the preprocessing pipeline where the confound files are.
Parameters
----------
confound_pipeline : str
Directory in the BIDS_dir where the confounds file is.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + confound_pipeline):
print('Specified direvative directory not found.')
self.get_pipeline_alternatives()
else:
# Todo: perform check that pipeline is valid
self.confound_pipeline = confound_pipeline | python | def set_confound_pipeline(self, confound_pipeline):
"""
There may be times when the pipeline is updated (e.g. teneto) but you want the confounds from the preprocessing pipieline (e.g. fmriprep).
To do this, you set the confound_pipeline to be the preprocessing pipeline where the confound files are.
Parameters
----------
confound_pipeline : str
Directory in the BIDS_dir where the confounds file is.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + confound_pipeline):
print('Specified direvative directory not found.')
self.get_pipeline_alternatives()
else:
# Todo: perform check that pipeline is valid
self.confound_pipeline = confound_pipeline | [
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"path... | There may be times when the pipeline is updated (e.g. teneto) but you want the confounds from the preprocessing pipieline (e.g. fmriprep).
To do this, you set the confound_pipeline to be the preprocessing pipeline where the confound files are.
Parameters
----------
confound_pipeline : str
Directory in the BIDS_dir where the confounds file is. | [
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"... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1319-L1340 | train | This method is used to set the confound pipeline for the base class. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1110 + 0o141) + chr(0b110001) + '\x37' + chr(0b110011 + 0o3), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101 + 0o142) + chr(0b110011) + '\067' + '\x34', 4684 - 4676), nzTpIcepk0o8(chr(48) + '\x6f' + chr(2855 - 2801) + chr(0b10100 + 0o40), ord("\x08")), nzTpIcepk0o8(chr(87 - 39) + chr(7697 - 7586) + chr(1385 - 1336) + chr(0b110100) + chr(55), 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + '\x6f' + chr(51) + chr(55) + '\x34', 8), nzTpIcepk0o8(chr(455 - 407) + chr(111) + '\x32' + chr(0b1 + 0o61) + chr(0b110011), 14413 - 14405), nzTpIcepk0o8(chr(456 - 408) + chr(0b1000000 + 0o57) + chr(50) + chr(53) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + chr(8888 - 8777) + chr(51) + chr(0b110100) + chr(0b110101), ord("\x08")), nzTpIcepk0o8('\060' + chr(517 - 406) + chr(0b110001) + '\x30' + chr(2323 - 2270), 8887 - 8879), nzTpIcepk0o8(chr(48) + chr(7490 - 7379) + chr(0b110010) + chr(361 - 309) + '\x32', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(1039 - 989) + chr(52) + chr(0b110000), 5133 - 5125), nzTpIcepk0o8('\060' + chr(5817 - 5706) + chr(0b0 + 0o61) + chr(0b110100), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1001110 + 0o41) + chr(1928 - 1878) + '\x33' + '\x37', 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + chr(5275 - 5164) + chr(0b110110), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(1641 - 1586), 0b1000), nzTpIcepk0o8(chr(1911 - 1863) + '\x6f' + chr(0b100100 + 0o16) + chr(0b11100 + 0o25), 28516 - 28508), nzTpIcepk0o8(chr(48) + chr(0b11 + 0o154) + '\x33' + chr(0b110001) + chr(2195 - 2144), ord("\x08")), nzTpIcepk0o8(chr(1031 - 983) + '\157' + chr(0b1110 + 0o44) + chr(0b100110 + 0o12) + chr(54), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b101001 + 0o106) + chr(0b110011) + '\063' + '\x33', 23378 - 23370), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001) + chr(2256 - 2203) + '\x34', 37112 - 37104), nzTpIcepk0o8(chr(0b1111 + 0o41) + '\x6f' + '\x31' + chr(0b11001 + 0o31) + '\066', 14795 - 14787), nzTpIcepk0o8(chr(0b10001 + 0o37) + chr(111) + chr(0b100111 + 0o12) + '\x32' + '\x35', 4019 - 4011), nzTpIcepk0o8('\060' + '\x6f' + '\061' + chr(155 - 106) + chr(0b11011 + 0o27), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\061' + chr(0b110101) + '\x33', ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1011010 + 0o25) + chr(1161 - 1110) + '\061', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + chr(0b100010 + 0o23) + chr(699 - 645), 51297 - 51289), nzTpIcepk0o8(chr(2200 - 2152) + chr(111) + chr(1621 - 1572) + chr(0b10001 + 0o44), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(385 - 336) + chr(0b110110) + chr(48), 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110010) + chr(0b11000 + 0o37) + '\x30', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + chr(2337 - 2288) + chr(53), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + chr(0b110111) + chr(1057 - 1007), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b11110 + 0o25) + chr(51) + chr(54), ord("\x08")), nzTpIcepk0o8(chr(1949 - 1901) + '\157' + chr(0b11100 + 0o27) + chr(53) + '\060', 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(0b110010) + chr(318 - 270) + '\x32', 0o10), nzTpIcepk0o8(chr(545 - 497) + chr(111) + '\062' + '\064' + '\060', 8), nzTpIcepk0o8('\060' + chr(0b10000 + 0o137) + chr(0b110110) + '\061', ord("\x08")), nzTpIcepk0o8(chr(1340 - 1292) + chr(111) + chr(0b110001) + '\x36', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1000110 + 0o51) + '\064' + '\x36', 22881 - 22873), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b110101), 49632 - 49624), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(849 - 738) + '\x33' + chr(55) + '\061', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b10000 + 0o137) + '\x35' + chr(1498 - 1450), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'P'), chr(0b1100100) + chr(0b1001 + 0o134) + '\143' + chr(362 - 251) + chr(0b1100100) + chr(0b100011 + 0o102))(chr(117) + chr(1973 - 1857) + '\x66' + '\x2d' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def jcMjMO4LX8Op(hXMPsSrOQzbh, c3NeMlIIe_SD):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x1f\x98P8\x94\xfa\xdb\x91*\xd0\xd9'), chr(4333 - 4233) + chr(0b1000001 + 0o44) + '\143' + '\x6f' + chr(0b1011100 + 0o10) + chr(0b1000000 + 0o45))(chr(0b1110101) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'9\x91~>\x85\xe9\xf0\x84\x14\xe3\xdaO'), chr(0b1100011 + 0o1) + chr(101) + chr(99) + '\157' + chr(0b1100100) + chr(8048 - 7947))('\165' + '\x74' + '\x66' + chr(0b100010 + 0o13) + chr(56)))()[nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110000), 8022 - 8014)][nzTpIcepk0o8(chr(48) + '\157' + chr(1626 - 1575), 0b1000)], y0cCpS6dh4OT(), nzTpIcepk0o8('\060' + chr(0b1000011 + 0o54) + chr(1869 - 1820), 26986 - 26978))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\x04\xaf}\x1e\x92\xc3\xdd\xa03\xce\xf18'), chr(100) + chr(0b101110 + 0o67) + '\143' + chr(5362 - 5251) + chr(7216 - 7116) + chr(101))(chr(4225 - 4108) + '\x74' + chr(0b11001 + 0o115) + '\055' + chr(56)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'<\xb5p4\xa3\xf7\xc1\x97'), '\x64' + chr(0b1011011 + 0o12) + '\x63' + chr(0b11000 + 0o127) + chr(0b1100100) + chr(0b1100101))(chr(0b111 + 0o156) + chr(116) + '\146' + chr(0b100010 + 0o13) + chr(0b111000))) + roI3spqORKae(ES5oEprVxulp(b'Q\x98Q\x15\x95\xe5\xc9\x91,\xd4\xc5\x7f\xb0'), chr(0b1100100) + chr(0b111011 + 0o52) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))('\x75' + chr(10623 - 10507) + chr(6348 - 6246) + chr(45) + '\x38') + c3NeMlIIe_SD):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'-\x8cQ\x04\x95\xf5\xc1\x80!\x82\xc4e\xedcqp\xbf\xef\xad\tv1#\x19|\x8dy\x1f\xca\xb4\x1a\xb0\x87\xf6\x80WaSC\x9dP'), '\144' + chr(101) + '\143' + '\x6f' + chr(3369 - 3269) + '\145')(chr(117) + chr(7146 - 7030) + chr(0b1011100 + 0o12) + chr(0b101101) + chr(2829 - 2773)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x19\x99@8\x8c\xfa\xd8\x80)\xcb\xcei\xc0gke\xae\xf4\xb5\r"<<\x0ej'), '\x64' + chr(0b101100 + 0o71) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(9817 - 9716))(chr(4221 - 4104) + '\x74' + '\146' + chr(0b101101) + '\070'))()
else:
hXMPsSrOQzbh.c3NeMlIIe_SD = c3NeMlIIe_SD |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.set_bids_suffix | def set_bids_suffix(self, bids_suffix):
"""
The last analysis step is the final tag that is present in files.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
self.bids_suffix = bids_suffix | python | def set_bids_suffix(self, bids_suffix):
"""
The last analysis step is the final tag that is present in files.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
self.bids_suffix = bids_suffix | [
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(919 - 871) + '\x6f' + chr(49) + '\x35' + chr(1829 - 1778), 38695 - 38687), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\066' + '\065', 0b1000), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + '\062' + chr(0b110000) + chr(598 - 546), 26847 - 26839), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(54) + '\x37', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110010) + '\x35' + '\x35', 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(0b110101) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b11001 + 0o27) + chr(0b1101111) + '\061' + chr(0b1010 + 0o46) + chr(0b110101), 0o10), nzTpIcepk0o8('\x30' + '\157' + chr(55) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1000001 + 0o56) + chr(50) + chr(0b110010) + chr(2034 - 1982), 30101 - 30093), nzTpIcepk0o8(chr(2011 - 1963) + '\157' + chr(0b101100 + 0o6) + chr(53) + chr(0b110001), 0b1000), nzTpIcepk0o8(chr(1933 - 1885) + '\157' + chr(0b110001) + chr(0b11011 + 0o25) + chr(238 - 190), 0o10), nzTpIcepk0o8('\060' + chr(0b100110 + 0o111) + chr(51) + '\x36' + chr(0b110101), 41970 - 41962), nzTpIcepk0o8('\060' + '\x6f' + chr(0b11011 + 0o30) + chr(0b110001) + chr(0b10110 + 0o41), 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(865 - 814) + chr(0b110001 + 0o0) + '\062', ord("\x08")), nzTpIcepk0o8('\x30' + chr(291 - 180) + '\061' + '\x34' + '\x35', 0b1000), nzTpIcepk0o8(chr(1489 - 1441) + chr(111) + chr(53) + '\x36', 18543 - 18535), nzTpIcepk0o8(chr(48) + chr(0b1010 + 0o145) + chr(50) + chr(401 - 353) + chr(1516 - 1468), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x33' + chr(262 - 207) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(1617 - 1569) + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b110010), 27021 - 27013), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(111) + chr(0b110001 + 0o2) + chr(1042 - 993) + chr(2223 - 2174), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(1038 - 987) + chr(0b100101 + 0o20), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(54) + chr(0b110010), 0b1000), nzTpIcepk0o8('\060' + chr(0b110100 + 0o73) + chr(49) + '\067' + chr(2407 - 2357), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(1359 - 1306), 0o10), nzTpIcepk0o8(chr(1739 - 1691) + '\157' + chr(0b101101 + 0o5) + '\x32' + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b101000 + 0o10) + '\157' + '\063' + '\064' + '\x36', 0o10), nzTpIcepk0o8('\x30' + '\157' + '\x32', 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + '\x6f' + '\x32' + chr(973 - 922) + chr(0b110001), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(49) + chr(53) + '\x30', 0b1000), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(0b1101111) + chr(50) + chr(48) + chr(0b110011), 37401 - 37393), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\x32' + chr(0b110000), 153 - 145), nzTpIcepk0o8(chr(48) + chr(111) + chr(535 - 487), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(2732 - 2621) + chr(0b11011 + 0o26) + chr(0b11000 + 0o32) + chr(0b100000 + 0o23), 1507 - 1499), nzTpIcepk0o8(chr(1333 - 1285) + chr(111) + chr(0b100100 + 0o15) + chr(52) + '\x30', 0o10), nzTpIcepk0o8(chr(1739 - 1691) + '\x6f' + chr(49) + chr(0b110101) + chr(0b101111 + 0o4), 8), nzTpIcepk0o8(chr(48) + chr(2051 - 1940) + '\x36', 0b1000), nzTpIcepk0o8('\060' + chr(0b1110 + 0o141) + chr(0b110011) + chr(0b110010 + 0o1) + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + chr(0b110001) + '\067', ord("\x08")), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(0b10110 + 0o131) + chr(49) + '\x32' + chr(0b11101 + 0o25), ord("\x08")), nzTpIcepk0o8(chr(1123 - 1075) + chr(0b1010001 + 0o36) + chr(0b101011 + 0o10) + chr(1916 - 1867) + chr(0b110000), 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b101000 + 0o10) + chr(10708 - 10597) + chr(0b1 + 0o64) + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'E'), chr(100) + chr(0b1001001 + 0o34) + chr(0b1000111 + 0o34) + chr(2348 - 2237) + '\x64' + chr(0b100001 + 0o104))(chr(12956 - 12839) + chr(3917 - 3801) + chr(6296 - 6194) + chr(0b10111 + 0o26) + chr(0b101000 + 0o20)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def nq1Ojl0dzMEk(hXMPsSrOQzbh, lfgjrRA5T6R9):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\nQ\xe0h\xc5\x856M\xfb\xdb9'), chr(0b1100100) + chr(0b1100101) + chr(5288 - 5189) + chr(2274 - 2163) + chr(0b11001 + 0o113) + '\145')('\x75' + chr(5189 - 5073) + '\146' + chr(45) + '\x38'))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b',X\xcen\xd4\x96\x1dX\xc5\xe8:\xb6'), '\x64' + '\x65' + '\143' + '\157' + chr(0b1100100) + chr(2709 - 2608))(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(56)))()[nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(859 - 811), 8)][nzTpIcepk0o8(chr(0b10001 + 0o37) + '\157' + '\063', ord("\x08"))], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b1110 + 0o43), ord("\x08")))
hXMPsSrOQzbh.lfgjrRA5T6R9 = lfgjrRA5T6R9 |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.set_pipeline | def set_pipeline(self, pipeline):
"""
Specify the pipeline. See get_pipeline_alternatives to see what are avaialble. Input should be a string.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + pipeline):
print('Specified direvative directory not found.')
self.get_pipeline_alternatives()
else:
# Todo: perform check that pipeline is valid
self.pipeline = pipeline | python | def set_pipeline(self, pipeline):
"""
Specify the pipeline. See get_pipeline_alternatives to see what are avaialble. Input should be a string.
"""
self.add_history(inspect.stack()[0][3], locals(), 1)
if not os.path.exists(self.BIDS_dir + '/derivatives/' + pipeline):
print('Specified direvative directory not found.')
self.get_pipeline_alternatives()
else:
# Todo: perform check that pipeline is valid
self.pipeline = pipeline | [
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"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1433-L1443 | train | Set the pipeline for this instance. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b100001 + 0o17) + '\157' + chr(0b110001 + 0o2) + chr(55) + chr(49), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\x36' + chr(2339 - 2286), ord("\x08")), nzTpIcepk0o8('\x30' + chr(10415 - 10304) + chr(342 - 291) + chr(0b110110), 0o10), nzTpIcepk0o8(chr(1481 - 1433) + chr(0b1101111) + '\063' + chr(0b110000) + '\x32', 0o10), nzTpIcepk0o8(chr(1192 - 1144) + chr(0b0 + 0o157) + chr(795 - 746) + '\x32' + '\065', 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\061' + chr(448 - 393) + '\x34', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(49) + '\x31', 0o10), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(10333 - 10222) + '\x32' + chr(0b101111 + 0o1) + chr(2283 - 2228), 3222 - 3214), nzTpIcepk0o8(chr(48) + chr(1109 - 998) + chr(54) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1001100 + 0o43) + chr(54) + '\067', 0b1000), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b101000 + 0o13) + '\061' + chr(2055 - 2001), 0b1000), nzTpIcepk0o8(chr(0b11 + 0o55) + '\157' + chr(353 - 302) + chr(51) + chr(0b10100 + 0o40), 33286 - 33278), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b101100 + 0o5) + chr(49) + '\x35', 0o10), nzTpIcepk0o8('\x30' + chr(6414 - 6303) + '\x35' + chr(0b100101 + 0o15), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110001) + chr(55), ord("\x08")), nzTpIcepk0o8('\060' + '\x6f' + chr(983 - 934) + chr(0b100010 + 0o23) + chr(0b110110), 0b1000), nzTpIcepk0o8(chr(0b1011 + 0o45) + '\x6f' + '\063' + '\x30' + '\x35', 49824 - 49816), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x32' + chr(0b1111 + 0o41) + '\x33', 0o10), nzTpIcepk0o8(chr(1391 - 1343) + '\x6f' + chr(2307 - 2257) + chr(52) + chr(51), 34514 - 34506), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(1745 - 1697), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + chr(1807 - 1757) + chr(2608 - 2555) + '\x34', 0o10), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(3314 - 3203) + chr(0b110011) + chr(1909 - 1860), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\063' + '\x34' + chr(0b110110), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(7789 - 7678) + chr(1374 - 1324) + '\x31' + '\x30', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b11011 + 0o124) + '\061' + '\x35' + chr(0b11100 + 0o27), 0o10), nzTpIcepk0o8(chr(0b100011 + 0o15) + chr(111) + '\x33' + '\x31' + chr(0b110010 + 0o3), 5586 - 5578), nzTpIcepk0o8(chr(2013 - 1965) + chr(111) + chr(49) + chr(53) + chr(55), 0b1000), nzTpIcepk0o8('\060' + chr(0b1 + 0o156) + '\x33' + chr(0b110011) + chr(0b100111 + 0o16), 0o10), nzTpIcepk0o8('\060' + chr(461 - 350) + chr(0b110011) + chr(441 - 389) + '\x30', 18277 - 18269), nzTpIcepk0o8('\x30' + '\x6f' + '\061' + chr(0b1 + 0o65), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + '\x37' + chr(0b110111), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x33' + chr(54) + chr(51), 59397 - 59389), nzTpIcepk0o8(chr(48) + chr(111) + chr(49) + chr(253 - 198) + chr(0b11 + 0o55), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(921 - 871) + chr(49) + chr(0b10 + 0o63), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001) + '\060' + '\063', ord("\x08")), nzTpIcepk0o8(chr(1533 - 1485) + '\157' + chr(1920 - 1869) + chr(54), 8), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(0b110111) + '\x35', 30773 - 30765), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\063' + chr(0b110011) + chr(0b100 + 0o63), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(51) + chr(0b101001 + 0o7), 0o10), nzTpIcepk0o8(chr(820 - 772) + '\x6f' + chr(0b10 + 0o61) + chr(0b100000 + 0o24) + chr(0b110111), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + '\157' + chr(53) + chr(0b110000), ord("\x08"))] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xd7'), '\144' + chr(0b1100101) + '\143' + '\157' + chr(9281 - 9181) + '\145')(chr(0b1110101) + '\x74' + chr(450 - 348) + chr(45) + '\x38') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def yirKe3U4i3QM(hXMPsSrOQzbh, mh2EOTqBBBbo):
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x98Qz\x9d=\x15z\xf3[E\xb7'), chr(0b1100100) + chr(0b101100 + 0o71) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1101 + 0o130))(chr(117) + chr(116) + chr(1734 - 1632) + chr(0b101101) + '\070'))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'\xbeXT\x9b,\x06Q\xe6ev\xb4\x9f'), '\144' + chr(185 - 84) + chr(8365 - 8266) + chr(0b1011101 + 0o22) + chr(0b1101 + 0o127) + chr(0b1100101))('\165' + chr(116) + chr(9974 - 9872) + '\055' + chr(0b111000)))()[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b101110 + 0o2), 8)][nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(111) + chr(0b110011), ord("\x08"))], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(659 - 611) + chr(1756 - 1645) + '\x31', 54781 - 54773))
if not roI3spqORKae(aHUqKstZLeS6.path, roI3spqORKae(ES5oEprVxulp(b'\x83fW\xbb;,|\xc2B[\x9f\xe8'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b110000 + 0o65))(chr(0b1001 + 0o154) + chr(116) + chr(102) + chr(1434 - 1389) + chr(1113 - 1057)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xbb|Z\x91\n\x18`\xf5'), chr(0b1100100) + '\x65' + chr(3449 - 3350) + chr(0b1101111) + chr(0b1001 + 0o133) + chr(101))(chr(13206 - 13089) + chr(0b1110100) + chr(0b1100110) + chr(0b100101 + 0o10) + chr(0b110101 + 0o3))) + roI3spqORKae(ES5oEprVxulp(b'\xd6Q{\xb0<\nh\xf3]A\xab\xafb'), '\144' + chr(8142 - 8041) + chr(0b1100001 + 0o2) + chr(10736 - 10625) + chr(4671 - 4571) + '\x65')(chr(0b1110101) + chr(0b1100101 + 0o17) + '\146' + chr(336 - 291) + chr(0b111000)) + mh2EOTqBBBbo):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xaaE{\xa1<\x1a`\xe2P\x17\xaa\xb5?Oy\x0f\xb1\xea\xd5e\x8c}\x8f\xfa\x0e\xae\x1b\xb2\x92w_\x9d\x17\xf9cx\x92\xaav\x83\xd7'), chr(0b1100100) + '\145' + '\143' + chr(0b1011111 + 0o20) + chr(0b111100 + 0o50) + chr(0b1100101))(chr(117) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b101 + 0o63)))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\x9ePj\x9d%\x15y\xe2X^\xa0\xb9\x12Kc\x1a\xa0\xf1\xcda\xd8p\x90\xed\x18'), chr(0b110001 + 0o63) + chr(0b101101 + 0o70) + chr(99) + '\157' + chr(0b111011 + 0o51) + chr(0b110110 + 0o57))(chr(0b1110101) + '\x74' + chr(102) + chr(0b101101) + chr(2642 - 2586)))()
else:
hXMPsSrOQzbh.mh2EOTqBBBbo = mh2EOTqBBBbo |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.print_dataset_summary | def print_dataset_summary(self):
"""
Prints information about the the BIDS data and the files currently selected.
"""
print('--- DATASET INFORMATION ---')
print('--- Subjects ---')
if self.raw_data_exists:
if self.BIDS.get_subjects():
print('Number of subjects (in dataset): ' +
str(len(self.BIDS.get_subjects())))
print('Subjects (in dataset): ' +
', '.join(self.BIDS.get_subjects()))
else:
print('NO SUBJECTS FOUND (is the BIDS directory specified correctly?)')
print('Number of subjects (selected): ' +
str(len(self.bids_tags['sub'])))
print('Subjects (selected): ' + ', '.join(self.bids_tags['sub']))
if isinstance(self.bad_subjects, list):
print('Bad subjects: ' + ', '.join(self.bad_subjects))
else:
print('Bad subjects: 0')
print('--- Tasks ---')
if self.raw_data_exists:
if self.BIDS.get_tasks():
print('Number of tasks (in dataset): ' +
str(len(self.BIDS.get_tasks())))
print('Tasks (in dataset): ' + ', '.join(self.BIDS.get_tasks()))
if 'task' in self.bids_tags:
print('Number of tasks (selected): ' +
str(len(self.bids_tags['task'])))
print('Tasks (selected): ' + ', '.join(self.bids_tags['task']))
else:
print('No task names found')
print('--- Runs ---')
if self.raw_data_exists:
if self.BIDS.get_runs():
print('Number of runs (in dataset): ' +
str(len(self.BIDS.get_runs())))
print('Runs (in dataset): ' + ', '.join(self.BIDS.get_runs()))
if 'run' in self.bids_tags:
print('Number of runs (selected): ' +
str(len(self.bids_tags['run'])))
print('Rubs (selected): ' + ', '.join(self.bids_tags['run']))
else:
print('No run names found')
print('--- Sessions ---')
if self.raw_data_exists:
if self.BIDS.get_sessions():
print('Number of runs (in dataset): ' +
str(len(self.BIDS.get_sessions())))
print('Sessions (in dataset): ' +
', '.join(self.BIDS.get_sessions()))
if 'ses' in self.bids_tags:
print('Number of sessions (selected): ' +
str(len(self.bids_tags['ses'])))
print('Sessions (selected): ' + ', '.join(self.bids_tags['ses']))
else:
print('No session names found')
print('--- PREPROCESSED DATA (Pipelines/Derivatives) ---')
if not self.pipeline:
print('Derivative pipeline not set. To set, run TN.set_pipeline()')
else:
print('Pipeline: ' + self.pipeline)
if self.pipeline_subdir:
print('Pipeline subdirectories: ' + self.pipeline_subdir)
selected_files = self.get_selected_files(quiet=1)
if selected_files:
print('--- SELECTED DATA ---')
print('Numnber of selected files: ' + str(len(selected_files)))
print('\n - '.join(selected_files)) | python | def print_dataset_summary(self):
"""
Prints information about the the BIDS data and the files currently selected.
"""
print('--- DATASET INFORMATION ---')
print('--- Subjects ---')
if self.raw_data_exists:
if self.BIDS.get_subjects():
print('Number of subjects (in dataset): ' +
str(len(self.BIDS.get_subjects())))
print('Subjects (in dataset): ' +
', '.join(self.BIDS.get_subjects()))
else:
print('NO SUBJECTS FOUND (is the BIDS directory specified correctly?)')
print('Number of subjects (selected): ' +
str(len(self.bids_tags['sub'])))
print('Subjects (selected): ' + ', '.join(self.bids_tags['sub']))
if isinstance(self.bad_subjects, list):
print('Bad subjects: ' + ', '.join(self.bad_subjects))
else:
print('Bad subjects: 0')
print('--- Tasks ---')
if self.raw_data_exists:
if self.BIDS.get_tasks():
print('Number of tasks (in dataset): ' +
str(len(self.BIDS.get_tasks())))
print('Tasks (in dataset): ' + ', '.join(self.BIDS.get_tasks()))
if 'task' in self.bids_tags:
print('Number of tasks (selected): ' +
str(len(self.bids_tags['task'])))
print('Tasks (selected): ' + ', '.join(self.bids_tags['task']))
else:
print('No task names found')
print('--- Runs ---')
if self.raw_data_exists:
if self.BIDS.get_runs():
print('Number of runs (in dataset): ' +
str(len(self.BIDS.get_runs())))
print('Runs (in dataset): ' + ', '.join(self.BIDS.get_runs()))
if 'run' in self.bids_tags:
print('Number of runs (selected): ' +
str(len(self.bids_tags['run'])))
print('Rubs (selected): ' + ', '.join(self.bids_tags['run']))
else:
print('No run names found')
print('--- Sessions ---')
if self.raw_data_exists:
if self.BIDS.get_sessions():
print('Number of runs (in dataset): ' +
str(len(self.BIDS.get_sessions())))
print('Sessions (in dataset): ' +
', '.join(self.BIDS.get_sessions()))
if 'ses' in self.bids_tags:
print('Number of sessions (selected): ' +
str(len(self.bids_tags['ses'])))
print('Sessions (selected): ' + ', '.join(self.bids_tags['ses']))
else:
print('No session names found')
print('--- PREPROCESSED DATA (Pipelines/Derivatives) ---')
if not self.pipeline:
print('Derivative pipeline not set. To set, run TN.set_pipeline()')
else:
print('Pipeline: ' + self.pipeline)
if self.pipeline_subdir:
print('Pipeline subdirectories: ' + self.pipeline_subdir)
selected_files = self.get_selected_files(quiet=1)
if selected_files:
print('--- SELECTED DATA ---')
print('Numnber of selected files: ' + str(len(selected_files)))
print('\n - '.join(selected_files)) | [
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"selected",
"."
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1454-L1532 | train | Prints the summary of the BIDS data and the files currently selected. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(111) + chr(0b100100 + 0o16) + '\x30' + '\063', 58982 - 58974), nzTpIcepk0o8(chr(0b110000) + chr(0b11010 + 0o125) + chr(0b1101 + 0o44) + chr(1175 - 1122), 0b1000), nzTpIcepk0o8(chr(686 - 638) + chr(0b1101111) + '\063' + '\x30' + chr(0b110100), 0o10), nzTpIcepk0o8('\060' + chr(0b1101000 + 0o7) + chr(0b10101 + 0o34) + '\x34' + '\063', 0o10), nzTpIcepk0o8(chr(0b101110 + 0o2) + '\x6f' + chr(1477 - 1428) + '\x35' + chr(50), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(0b101111 + 0o2) + '\061' + chr(55), 57206 - 57198), nzTpIcepk0o8(chr(0b110000) + chr(0b11100 + 0o123) + '\x34' + chr(815 - 762), 0b1000), nzTpIcepk0o8(chr(2131 - 2083) + chr(0b1101111) + chr(259 - 210) + chr(0b110010) + chr(559 - 509), 50735 - 50727), nzTpIcepk0o8(chr(0b101011 + 0o5) + chr(0b1101111) + '\x31' + '\x30' + chr(1656 - 1602), 0b1000), nzTpIcepk0o8('\x30' + chr(11025 - 10914) + '\062' + chr(0b110101) + '\x34', 1595 - 1587), nzTpIcepk0o8(chr(48) + chr(2036 - 1925) + chr(0b100101 + 0o15) + '\061' + chr(0b110101), 17925 - 17917), nzTpIcepk0o8(chr(0b100101 + 0o13) + chr(0b1101111) + '\x33' + chr(54) + chr(49), 0b1000), nzTpIcepk0o8('\060' + chr(127 - 16) + chr(137 - 88) + chr(0b110110) + '\062', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b100110 + 0o15) + chr(0b110110) + chr(48), 0o10), nzTpIcepk0o8(chr(48) + '\x6f' + chr(152 - 102) + chr(1487 - 1438) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110000) + chr(2096 - 2047), 0o10), nzTpIcepk0o8('\x30' + chr(6420 - 6309) + '\x33' + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b100110 + 0o12) + '\157' + '\x34' + chr(1489 - 1438), 19557 - 19549), nzTpIcepk0o8('\x30' + '\157' + chr(51) + chr(1474 - 1425) + '\063', ord("\x08")), nzTpIcepk0o8('\060' + '\157' + chr(0b110001) + '\x37' + chr(49), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\x34' + chr(0b110010), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110001) + chr(52) + '\x35', ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110011) + chr(51) + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1110 + 0o45) + chr(48) + chr(0b1011 + 0o51), 8), nzTpIcepk0o8(chr(48) + '\157' + chr(55) + chr(1219 - 1165), 59586 - 59578), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + '\061' + '\x33' + chr(0b101 + 0o55), 0o10), nzTpIcepk0o8(chr(393 - 345) + chr(0b101111 + 0o100) + chr(0b101001 + 0o10) + chr(0b110000) + chr(2689 - 2635), 8), nzTpIcepk0o8(chr(48) + chr(111) + '\x33' + chr(0b100000 + 0o23) + chr(49), 0b1000), nzTpIcepk0o8('\x30' + chr(0b11011 + 0o124) + chr(50) + '\x35' + '\066', 0o10), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(1663 - 1552) + chr(0b11001 + 0o30) + chr(0b110100), 11719 - 11711), nzTpIcepk0o8('\060' + chr(0b1101111) + '\x34' + '\062', 8), nzTpIcepk0o8(chr(0b110000) + chr(6731 - 6620) + chr(0b110010 + 0o0) + chr(0b100011 + 0o16) + chr(0b11011 + 0o34), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061' + chr(0b110111) + chr(2056 - 2008), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110010) + '\x37' + '\063', 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110101) + chr(0b110001), 0o10), nzTpIcepk0o8(chr(301 - 253) + chr(4304 - 4193) + '\x32' + chr(0b110001) + chr(0b100001 + 0o24), 8), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(2418 - 2367) + '\x36' + chr(54), 0b1000), nzTpIcepk0o8(chr(1563 - 1515) + '\157' + chr(0b110001) + chr(757 - 708) + chr(0b110101), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\x34' + chr(49), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1011110 + 0o21) + chr(50) + chr(0b10011 + 0o36) + chr(48), ord("\x08"))][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + chr(0b110101) + chr(1937 - 1889), 30619 - 30611)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xad'), chr(4542 - 4442) + chr(2972 - 2871) + chr(0b1100011) + chr(5551 - 5440) + '\x64' + chr(0b1000000 + 0o45))('\165' + chr(3122 - 3006) + chr(102) + '\055' + chr(0b11010 + 0o36)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def F06RTtOWkXhQ(hXMPsSrOQzbh):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C.\x0eq\x13\x15\xe9\xd9\xd1;\xbe\xcc\x0eJn\x8a-k*\x96\xe4\x13wk'), chr(100) + '\145' + chr(0b10100 + 0o117) + chr(10322 - 10211) + '\144' + chr(101))(chr(117) + '\164' + '\x66' + chr(0b101000 + 0o5) + '\x38'))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C9:G8#\xcf\xf9\x82R\xdd\xa7l'), '\x64' + chr(101) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1000101 + 0o60) + '\164' + chr(0b1100110) + '\x2d' + chr(0b111000)))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf1l\xb3<\x0e.Q3\x19\xc9\xf5\x98\x01\x84\xf9'), '\x64' + '\x65' + chr(6680 - 6581) + chr(10414 - 10303) + '\144' + '\x65')('\x75' + '\164' + chr(0b1011101 + 0o11) + chr(370 - 325) + chr(0b111000))):
if roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19:G8#\xcf\xf9\x82'), chr(0b100001 + 0o103) + '\145' + chr(0b1100011) + '\157' + '\144' + chr(101))(chr(117) + chr(116) + chr(102) + chr(1253 - 1208) + chr(111 - 55)))():
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xfe\x84\x10\x9a\xef"lP\xebQK\x0b\xf8\xa0_.\'\xaa\xcbx\x0b\xb5X'), chr(0b11110 + 0o106) + chr(101) + '\143' + chr(7144 - 7033) + chr(100) + chr(9777 - 9676))(chr(0b1110101) + chr(0b1110100) + chr(0b1010100 + 0o22) + chr(45) + chr(56)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19:G8#\xcf\xf9\x82'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(117) + '\x74' + '\146' + chr(45) + chr(56)))())))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd0x\xa6\t\x0f,Q!f\x84\xe4\x9fR\x94\xeb5yP\xae\r\x0b_\xf8'), '\x64' + '\x65' + chr(0b1010011 + 0o20) + chr(0b11100 + 0o123) + chr(1432 - 1332) + chr(101))('\x75' + chr(9917 - 9801) + chr(3135 - 3033) + chr(45) + chr(1766 - 1710)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(0b1100100) + chr(0b1100100 + 0o1) + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + '\x74' + chr(6694 - 6592) + chr(0b11101 + 0o20) + chr(2208 - 2152)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(100) + '\x65' + chr(0b101000 + 0o73) + chr(111) + chr(0b1010010 + 0o22) + '\145')('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b10 + 0o66)))(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19:G8#\xcf\xf9\x82'), '\x64' + '\145' + chr(99) + chr(0b101 + 0o152) + chr(100) + '\145')('\165' + '\x74' + chr(10293 - 10191) + chr(0b10000 + 0o35) + '\070'))()))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdB\xe40?\ro\x17\x05\xf8\xde\xd14\xbf\xdf\x0f\\\x03\xe3\x10QE\xac\xac[z\x04\x90\xea_\x02\xeb\x11\xc9\x8c\xee\x82"S\xf1\xa3~\xb4\x06\t&C;#\xc8\xad\x92\x1d\x82\xf8${W\xa7\x00\x1dL'), chr(0b1100100) + chr(0b1100101) + chr(0b1101 + 0o126) + '\x6f' + chr(0b1100100) + chr(0b100011 + 0o102))('\165' + chr(10923 - 10807) + chr(0b1100110) + chr(0b101101) + chr(56)))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xfe\x84\x10\x9a\xef"lP\xebQQ\x00\xb4\xa1].#\xbd\x876\x02'), chr(4413 - 4313) + '\145' + '\143' + '\157' + chr(0b1010100 + 0o20) + chr(0b1100101))('\165' + chr(7920 - 7804) + chr(0b1011 + 0o133) + chr(0b1011 + 0o42) + chr(0b1010 + 0o56)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), '\x64' + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(1428 - 1312) + chr(102) + chr(0b1000 + 0o45) + '\070'))[roI3spqORKae(ES5oEprVxulp(b'\xf0x\xa6'), chr(100) + '\x65' + chr(99) + chr(0b1100000 + 0o17) + chr(100) + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(56))])))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd0x\xa6\t\x0f,Q!f\x84\xfe\x94\x1e\x95\xe95}G\xe2C\x02'), chr(7915 - 7815) + chr(101) + chr(3572 - 3473) + chr(0b10001 + 0o136) + chr(0b1100100) + chr(6306 - 6205))(chr(0b1110101) + '\x74' + '\x66' + chr(510 - 465) + chr(0b111000)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(0b11010 + 0o112) + '\145' + '\x63' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(0b1100100) + '\x65' + '\143' + chr(0b1010001 + 0o36) + '\144' + '\145')(chr(0b1110101) + chr(7890 - 7774) + chr(9494 - 9392) + chr(270 - 225) + chr(0b1010 + 0o56)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b1001011 + 0o31) + '\x65' + chr(0b1001001 + 0o32) + '\157' + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(8495 - 8393) + '\055' + '\x38'))[roI3spqORKae(ES5oEprVxulp(b'\xf0x\xa6'), chr(5247 - 5147) + chr(7668 - 7567) + chr(1339 - 1240) + chr(0b1101111) + '\x64' + chr(0b110000 + 0o65))(chr(0b1110101) + chr(0b111110 + 0o66) + '\146' + chr(0b101101) + '\x38')]))
if suIjIS24Zkqw(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1l\xa0<\x19:G8#\xcf\xf9\x82'), chr(0b1100100) + chr(0b1100101) + chr(0b101110 + 0o65) + '\x6f' + '\144' + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070')), H4NoA26ON7iG):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xc1l\xa0C\x19:G8#\xcf\xf9\x82H\xd0'), chr(8181 - 8081) + chr(0b1100101) + '\x63' + chr(1826 - 1715) + chr(100) + chr(0b111100 + 0o51))(chr(0b1110101) + '\164' + chr(7344 - 7242) + chr(0b11 + 0o52) + chr(56)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + chr(101))(chr(0b1010000 + 0o45) + chr(116) + chr(6884 - 6782) + chr(45) + chr(2887 - 2831)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), '\x64' + chr(0b1001010 + 0o33) + chr(0b1001111 + 0o24) + chr(2634 - 2523) + chr(0b1100100) + chr(101))(chr(0b10001 + 0o144) + '\164' + '\146' + '\x2d' + '\070'))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1l\xa0<\x19:G8#\xcf\xf9\x82'), chr(100) + '\x65' + chr(0b1001110 + 0o25) + chr(111) + chr(0b1000100 + 0o40) + chr(543 - 442))(chr(117) + '\164' + '\146' + '\x2d' + chr(451 - 395)))))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xc1l\xa0C\x19:G8#\xcf\xf9\x82H\xd0\xba'), chr(9454 - 9354) + chr(0b1010101 + 0o20) + '\x63' + chr(0b1010011 + 0o34) + '\x64' + chr(0b101010 + 0o73))(chr(0b1001 + 0o154) + chr(116) + '\x66' + chr(1195 - 1150) + '\070'))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C>.V95\x8c\xa0\xdc_'), chr(6115 - 6015) + chr(101) + chr(562 - 463) + chr(111) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\x66' + '\055' + chr(0b11100 + 0o34)))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf1l\xb3<\x0e.Q3\x19\xc9\xf5\x98\x01\x84\xf9'), chr(100) + '\x65' + '\x63' + chr(7712 - 7601) + chr(3128 - 3028) + chr(0b1100101))(chr(5487 - 5370) + '\x74' + '\x66' + chr(0b101 + 0o50) + '\x38')):
if roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x1e.V95'), '\144' + '\145' + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(3870 - 3753) + chr(8057 - 7941) + chr(102) + chr(0b100100 + 0o11) + chr(56)))():
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xf9\x90\x01\x9b\xf9a0J\xa5YF\x04\xac\xa5M?2\xf0\x94,'), '\144' + '\145' + chr(805 - 706) + chr(0b1000 + 0o147) + '\144' + chr(0b1100101))(chr(117) + '\164' + '\146' + chr(0b11111 + 0o16) + '\070') + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x1e.V95'), '\144' + chr(0b1100101) + chr(0b10100 + 0o117) + '\x6f' + chr(100) + chr(101))('\x75' + chr(11380 - 11264) + '\x66' + '\x2d' + '\x38'))())))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd7l\xb7\x08\x19o\r;(\x8c\xe9\x90\x06\x91\xf9$l\n\xf1Y'), chr(100) + chr(101) + '\143' + '\157' + chr(3513 - 3413) + chr(101))(chr(0b1110101) + chr(0b11000 + 0o134) + '\x66' + chr(0b101101) + chr(0b11 + 0o65)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), '\x64' + chr(0b1100101) + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(0b101101) + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(9011 - 8911) + chr(0b1100101) + '\143' + chr(0b101011 + 0o104) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(8543 - 8441) + chr(1210 - 1165) + '\x38'))(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x1e.V95'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101010 + 0o5) + chr(100) + chr(0b1100101))('\165' + chr(12705 - 12589) + '\x66' + '\055' + '\070'))()))
if roI3spqORKae(ES5oEprVxulp(b'\xf7l\xb7\x08'), chr(0b1001110 + 0o26) + chr(634 - 533) + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')(chr(0b1110101) + '\x74' + '\x66' + chr(0b1101 + 0o40) + chr(0b10100 + 0o44)) in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b100000 + 0o104) + '\x65' + chr(0b101001 + 0o72) + '\157' + chr(3905 - 3805) + '\x65')('\x75' + '\164' + chr(0b1100110) + chr(0b11111 + 0o16) + chr(0b1100 + 0o54))):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xf9\x90\x01\x9b\xf9a0P\xae\x15G\x06\xac\xa1Zs|\xf9'), chr(0b1100001 + 0o3) + chr(0b1100001 + 0o4) + chr(0b1100011) + chr(0b1001110 + 0o41) + chr(100) + '\x65')(chr(0b110010 + 0o103) + chr(0b1010100 + 0o40) + chr(0b1100110) + chr(45) + chr(0b111000)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b110100 + 0o60) + chr(0b110 + 0o137) + chr(0b1001000 + 0o33) + chr(0b1101111) + '\144' + '\x65')(chr(738 - 621) + chr(116) + '\x66' + chr(778 - 733) + chr(0b11 + 0o65)))[roI3spqORKae(ES5oEprVxulp(b'\xf7l\xb7\x08'), '\x64' + '\145' + chr(4627 - 4528) + chr(0b1000011 + 0o54) + chr(0b1110 + 0o126) + '\145')(chr(2918 - 2801) + chr(116) + chr(0b1100110) + chr(700 - 655) + chr(0b101110 + 0o12))])))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd7l\xb7\x08\x19o\r!#\xc0\xe8\x92\x06\x95\xeeh"\x03'), chr(100) + chr(8623 - 8522) + '\143' + chr(111) + chr(0b100011 + 0o101) + chr(0b1000001 + 0o44))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(56)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), '\144' + chr(2357 - 2256) + chr(6904 - 6805) + chr(0b1101111) + chr(0b1100100) + chr(4075 - 3974))('\165' + chr(116) + chr(0b1 + 0o145) + chr(45) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), '\144' + '\x65' + chr(0b10110 + 0o115) + chr(111) + chr(9312 - 9212) + chr(0b1100101))('\x75' + '\164' + '\x66' + chr(0b111 + 0o46) + '\x38'))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), '\144' + '\x65' + chr(0b1100011) + chr(111) + '\144' + chr(0b1100101))(chr(0b1010001 + 0o44) + '\x74' + chr(6736 - 6634) + '\055' + chr(56)))[roI3spqORKae(ES5oEprVxulp(b'\xf7l\xb7\x08'), chr(0b1001001 + 0o33) + '\145' + '\x63' + chr(0b1101111) + chr(3706 - 3606) + chr(101))(chr(0b110100 + 0o101) + '\x74' + '\x66' + chr(1609 - 1564) + chr(0b111000))]))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdb\xe4\x17\x0b<Nr(\xcd\xe0\x94\x01\xd0\xec.mM\xaf'), chr(0b1100100) + chr(101) + chr(0b110101 + 0o56) + chr(111) + '\144' + chr(101))(chr(0b1 + 0o164) + '\164' + '\146' + chr(986 - 941) + chr(0b101111 + 0o11)))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C8:K!f\x81\xa0\xdc'), chr(1838 - 1738) + '\145' + chr(0b110 + 0o135) + chr(6414 - 6303) + '\144' + chr(101))('\165' + chr(8947 - 8831) + chr(102) + chr(0b101101) + chr(0b101001 + 0o17)))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf1l\xb3<\x0e.Q3\x19\xc9\xf5\x98\x01\x84\xf9'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(4092 - 3991))(chr(117) + chr(1739 - 1623) + chr(0b1100110) + '\x2d' + '\x38')):
if roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x18:K!'), chr(4506 - 4406) + chr(101) + chr(0b1010110 + 0o15) + '\x6f' + chr(100) + chr(0b1100101))(chr(12373 - 12256) + chr(116) + chr(10394 - 10292) + chr(0b11001 + 0o24) + chr(56)))():
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xff\x84\x1c\x83\xaaiqM\xeb\x1dC\x11\xb9\xb7[.o\xe3\x8e'), chr(100) + '\145' + chr(99) + chr(0b100110 + 0o111) + '\x64' + chr(101))(chr(117) + '\x74' + '\x66' + '\055' + chr(0b100101 + 0o23)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x18:K!'), '\144' + chr(101) + '\143' + chr(0b1101111) + chr(0b1001100 + 0o30) + '\145')(chr(117) + '\x74' + '\146' + '\055' + chr(0b111000)))())))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd1x\xaa\x10JgL<f\xc8\xec\x85\x13\x83\xef51\x19\xeb'), '\144' + chr(0b1001011 + 0o32) + '\143' + chr(0b101011 + 0o104) + '\144' + chr(0b1100101))(chr(3282 - 3165) + chr(0b1010011 + 0o41) + chr(102) + '\x2d' + chr(56)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(7144 - 7044) + '\x65' + '\143' + chr(0b101 + 0o152) + chr(0b1011110 + 0o6) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(0b101010 + 0o16)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(0b1100100) + chr(8522 - 8421) + '\x63' + chr(0b1101111) + '\x64' + chr(101))(chr(117) + '\x74' + '\146' + chr(1708 - 1663) + chr(1739 - 1683)))(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x18:K!'), chr(100) + chr(101) + '\143' + chr(6533 - 6422) + '\144' + chr(0b1100101))('\x75' + chr(9811 - 9695) + chr(414 - 312) + chr(45) + '\x38'))()))
if roI3spqORKae(ES5oEprVxulp(b'\xf1x\xaa'), chr(100) + '\x65' + '\x63' + chr(8232 - 8121) + chr(3873 - 3773) + chr(3005 - 2904))(chr(0b1110101) + chr(1278 - 1162) + chr(0b111101 + 0o51) + chr(0b11111 + 0o16) + '\x38') in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b1011001 + 0o13) + '\145' + chr(0b111101 + 0o46) + chr(3977 - 3866) + chr(100) + chr(4422 - 4321))(chr(12594 - 12477) + chr(13031 - 12915) + chr(0b1100110) + chr(0b101101) + chr(0b100010 + 0o26))):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xff\x84\x1c\x83\xaaikF\xa7\x1cA\x11\xbd\xa0\x17`f'), '\144' + '\145' + chr(99) + chr(3662 - 3551) + chr(0b1100100) + chr(0b1011 + 0o132))(chr(117) + chr(0b1110100) + '\146' + chr(1174 - 1129) + chr(0b100110 + 0o22)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), '\x64' + chr(0b10000 + 0o125) + '\143' + '\157' + chr(7019 - 6919) + chr(7333 - 7232))(chr(0b1010110 + 0o37) + '\x74' + chr(8148 - 8046) + chr(345 - 300) + '\x38'))[roI3spqORKae(ES5oEprVxulp(b'\xf1x\xaa'), chr(0b110000 + 0o64) + chr(0b1100101) + chr(1060 - 961) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(338 - 293) + chr(3054 - 2998))])))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd1x\xa6\x10JgV7*\xc9\xee\x85\x17\x94\xa3{8'), '\x64' + chr(5544 - 5443) + chr(99) + chr(0b1101111) + chr(0b11010 + 0o112) + '\145')(chr(0b100100 + 0o121) + chr(116) + chr(0b100110 + 0o100) + chr(1588 - 1543) + '\x38') + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(0b1010101 + 0o17) + chr(0b101101 + 0o70) + '\143' + chr(0b1101111) + chr(0b110000 + 0o64) + '\145')(chr(0b1000101 + 0o60) + chr(837 - 721) + chr(0b110000 + 0o66) + chr(0b1011 + 0o42) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(1527 - 1427) + chr(0b1100101) + chr(0b1001111 + 0o24) + '\157' + chr(0b1100100) + '\145')(chr(0b110001 + 0o104) + '\x74' + '\x66' + '\x2d' + chr(0b111000)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b1100100) + chr(0b110111 + 0o56) + chr(0b1011111 + 0o4) + '\157' + chr(0b1100100) + chr(0b110010 + 0o63))(chr(0b1100000 + 0o25) + chr(0b1110100) + '\146' + '\055' + chr(56)))[roI3spqORKae(ES5oEprVxulp(b'\xf1x\xaa'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b10100 + 0o121))(chr(6623 - 6506) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b11000 + 0o40))]))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b"\xcdb\xe4\x11\x1f!\x05<'\xc1\xe8\x82R\x96\xe54vG"), chr(100) + chr(0b101010 + 0o73) + chr(0b110001 + 0o62) + chr(0b1101111) + '\x64' + chr(0b10010 + 0o123))('\x75' + chr(0b1110010 + 0o2) + '\146' + chr(45) + chr(3050 - 2994)))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C9*V!/\xc3\xe3\x82R\xdd\xa7l'), chr(0b1001010 + 0o32) + '\x65' + chr(0b1100011) + chr(8755 - 8644) + chr(0b1100100) + '\145')(chr(3331 - 3214) + '\164' + '\x66' + chr(0b11001 + 0o24) + chr(0b100 + 0o64)))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf1l\xb3<\x0e.Q3\x19\xc9\xf5\x98\x01\x84\xf9'), chr(6506 - 6406) + chr(165 - 64) + chr(3893 - 3794) + chr(11458 - 11347) + chr(100) + chr(101))('\165' + chr(0b1010010 + 0o42) + chr(102) + '\x2d' + '\070')):
if roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19*V!/\xc3\xe3\x82'), '\144' + chr(101) + chr(0b10111 + 0o114) + '\x6f' + '\144' + chr(101))('\165' + '\x74' + chr(0b11100 + 0o112) + chr(1193 - 1148) + '\x38'))():
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xff\x84\x1c\x83\xaaiqM\xeb\x1dC\x11\xb9\xb7[.o\xe3\x8e'), chr(4521 - 4421) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(1957 - 1856))(chr(0b11000 + 0o135) + chr(12396 - 12280) + '\x66' + '\055' + chr(0b10100 + 0o44)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19*V!/\xc3\xe3\x82'), chr(0b1100100) + '\x65' + '\x63' + chr(0b111 + 0o150) + chr(1222 - 1122) + chr(0b111 + 0o136))('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b111000)))())))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd0h\xb7\x10\x03 K!f\x84\xe4\x9fR\x94\xeb5yP\xae\r\x0b_\xf8'), '\144' + '\145' + chr(0b101111 + 0o64) + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b1110100) + '\x66' + chr(0b10100 + 0o31) + '\x38') + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), chr(100) + chr(0b1100101) + '\x63' + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(12311 - 12195) + '\x66' + '\x2d' + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), '\144' + chr(101) + '\x63' + chr(0b10011 + 0o134) + chr(0b1100100) + '\x65')(chr(0b1100010 + 0o23) + chr(0b1110100) + chr(102) + chr(0b1 + 0o54) + chr(0b1111 + 0o51)))(roI3spqORKae(hXMPsSrOQzbh.BIDS, roI3spqORKae(ES5oEprVxulp(b'\xe4h\xb0<\x19*V!/\xc3\xe3\x82'), chr(3404 - 3304) + '\x65' + chr(99) + chr(0b1101111) + chr(0b101 + 0o137) + chr(1400 - 1299))(chr(0b1110 + 0o147) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))()))
if roI3spqORKae(ES5oEprVxulp(b'\xf0h\xb7'), chr(0b1001 + 0o133) + chr(0b10010 + 0o123) + '\143' + '\157' + chr(6909 - 6809) + chr(474 - 373))('\165' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b101 + 0o63)) in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(3261 - 3150) + '\x64' + '\145')('\165' + chr(116) + '\x66' + '\x2d' + chr(0b111000))):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\x01\x0f=\x05= \x8c\xfe\x94\x01\x83\xe3.vP\xebQQ\x00\xb4\xa1].#\xbd\x876\x02'), '\144' + '\x65' + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(1671 - 1570))('\165' + chr(12771 - 12655) + chr(0b1100110) + chr(45) + chr(0b111000)) + N9zlRy29S1SS(ftfygxgFas5X(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b1011011 + 0o11) + chr(3076 - 2975) + chr(0b1100010 + 0o1) + chr(111) + chr(0b1011111 + 0o5) + chr(101))(chr(0b111111 + 0o66) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b101110 + 0o12)))[roI3spqORKae(ES5oEprVxulp(b'\xf0h\xb7'), chr(100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1011111 + 0o26) + chr(0b11100 + 0o130) + '\x66' + chr(0b11011 + 0o22) + chr(1607 - 1551))])))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd0h\xb7\x10\x03 K!f\x84\xfe\x94\x1e\x95\xe95}G\xe2C\x02'), chr(0b110000 + 0o64) + '\x65' + chr(99) + chr(0b1101111) + '\144' + chr(101))(chr(0b1110101) + chr(7367 - 7251) + chr(102) + '\055' + chr(193 - 137)) + roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xaf-'), '\x64' + '\145' + chr(99) + chr(2726 - 2615) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b1100110) + '\x2d' + chr(56)), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b10100 + 0o120) + chr(7629 - 7528))('\x75' + '\164' + '\x66' + chr(1579 - 1534) + chr(1676 - 1620)))(roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xe1d\xa0\x105;D55'), chr(0b1100100) + chr(101) + '\x63' + '\157' + '\x64' + chr(0b111001 + 0o54))(chr(0b1110101) + chr(0b101001 + 0o113) + chr(0b1000100 + 0o42) + chr(0b11011 + 0o22) + chr(0b100011 + 0o25)))[roI3spqORKae(ES5oEprVxulp(b'\xf0h\xb7'), chr(0b10011 + 0o121) + '\x65' + chr(99) + '\x6f' + chr(0b1100100) + chr(10106 - 10005))('\165' + '\x74' + chr(102) + chr(0b101101) + chr(0b100101 + 0o23))]))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdb\xe4\x10\x0f<V;)\xc2\xad\x9f\x13\x9d\xef28E\xa4\x0cL\x01'), chr(100) + chr(101) + chr(99) + chr(0b10101 + 0o132) + chr(0b101000 + 0o74) + chr(4095 - 3994))('\165' + '\x74' + chr(0b10111 + 0o117) + chr(0b10101 + 0o30) + '\x38'))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C:\x1d`\x02\x14\xe3\xce\xb4!\xa3\xcf\x058g\x8a-cE\xf0\x94W*#\xb5\xc7bG\xfcW\xff\x8c\xff\x9f;@\xfc\xea{\xa1\x10Co\x08\x7fk'), '\144' + chr(101) + '\143' + chr(111) + chr(0b110101 + 0o57) + chr(0b1100101))(chr(0b1011001 + 0o34) + '\x74' + chr(102) + chr(0b101101) + chr(384 - 328)))
if not roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xeee\xf6&%\x1bT\x10\x04\xee\xef\x9e'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(3928 - 3817) + chr(100) + chr(101))(chr(11251 - 11134) + chr(0b1110100) + chr(0b110000 + 0o66) + chr(0b1000 + 0o45) + '\x38')):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xc7h\xb6\n\x1c.Q;0\xc9\xad\x81\x1b\x80\xef-qM\xaeYL\n\xac\xe4M?2\xf7\x8eXM\xaf\x0b\xde\x9d\xa1\xd6?T\xe6\xa3Y\x8aM\x19*Q\r6\xc5\xfd\x94\x1e\x99\xe4$0\n'), chr(100) + chr(0b11111 + 0o106) + chr(1985 - 1886) + chr(792 - 681) + chr(0b1100100) + chr(674 - 573))('\x75' + '\x74' + '\146' + chr(0b11111 + 0o16) + '\070'))
else:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd3d\xb4\x06\x06&K7|\x8c'), chr(100) + chr(101) + chr(0b1011010 + 0o11) + chr(280 - 169) + chr(100) + chr(0b110110 + 0o57))('\x75' + chr(116) + chr(0b1001000 + 0o36) + '\055' + chr(629 - 573)) + roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xeee\xf6&%\x1bT\x10\x04\xee\xef\x9e'), chr(100) + chr(4130 - 4029) + chr(99) + chr(0b1101111) + '\144' + chr(101))('\165' + chr(7020 - 6904) + chr(0b100 + 0o142) + chr(0b101101) + chr(0b111000 + 0o0))))
if roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf3d\xb4\x06\x06&K7\x19\xdf\xf8\x93\x16\x99\xf8'), chr(3667 - 3567) + chr(101) + '\143' + chr(6111 - 6000) + chr(100) + chr(3324 - 3223))(chr(117) + '\164' + chr(9072 - 8970) + chr(0b101101) + '\070')):
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xd3d\xb4\x06\x06&K7f\xdf\xf8\x93\x16\x99\xf8${W\xa4\x0bK\x00\xab\xfe\x1e'), chr(0b1100100) + '\145' + chr(0b1100000 + 0o3) + '\157' + chr(100) + '\145')(chr(117) + chr(0b1110100) + chr(0b110000 + 0o66) + '\055' + chr(0b100000 + 0o30)) + roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'\xf3d\xb4\x06\x06&K7\x19\xdf\xf8\x93\x16\x99\xf8'), chr(0b10101 + 0o117) + chr(0b1100101) + chr(2016 - 1917) + '\157' + chr(100) + chr(0b11111 + 0o106))(chr(0b111000 + 0o75) + '\x74' + chr(0b1100110) + chr(45) + chr(0b11 + 0o65))))
j0sU4X9Jwe4I = hXMPsSrOQzbh.get_selected_files(quiet=nzTpIcepk0o8(chr(48) + chr(0b1010100 + 0o33) + '\061', ord("\x08")))
if j0sU4X9Jwe4I:
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xae \xe9C9\ni\x17\x05\xf8\xc8\xb5R\xb4\xcb\x15Y\x03\xe6T\x0f'), '\144' + chr(101) + '\x63' + chr(0b1010110 + 0o31) + '\144' + '\x65')('\165' + chr(2415 - 2299) + chr(0b10010 + 0o124) + chr(0b1011 + 0o42) + chr(0b11011 + 0o35)))
v8jsMqaYV6U2(roI3spqORKae(ES5oEprVxulp(b'\xcdx\xa9\r\x08*Wr)\xca\xad\x82\x17\x9c\xef"lF\xafYD\x0c\xb4\xa1M`f'), chr(0b1010001 + 0o23) + chr(0b11 + 0o142) + chr(99) + '\x6f' + '\144' + chr(0b1100101))(chr(117) + chr(10449 - 10333) + chr(4470 - 4368) + chr(0b101010 + 0o3) + chr(56)) + N9zlRy29S1SS(ftfygxgFas5X(j0sU4X9Jwe4I)))
v8jsMqaYV6U2(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\x89-\xe9C'), chr(4318 - 4218) + '\145' + chr(99) + chr(0b101100 + 0o103) + chr(2438 - 2338) + chr(7225 - 7124))(chr(13561 - 13444) + chr(0b1110100) + chr(0b0 + 0o146) + chr(0b101101) + '\070'), roI3spqORKae(ES5oEprVxulp(b'\xda9\xbd.S\rF4\x12\xef\xc3\x80'), '\x64' + chr(0b1100101) + chr(0b1011111 + 0o4) + chr(7503 - 7392) + '\x64' + '\145')(chr(8020 - 7903) + '\164' + '\x66' + chr(1482 - 1437) + chr(0b111000)))(j0sU4X9Jwe4I)) |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.load_frompickle | def load_frompickle(cls, fname, reload_object=False):
"""
Loaded saved instance of
fname : str
path to pickle object (output of TenetoBIDS.save_aspickle)
reload_object : bool (default False)
reloads object by calling teneto.TenetoBIDS (some information lost, for development)
Returns
-------
self :
TenetoBIDS instance
"""
if fname[-4:] != '.pkl':
fname += '.pkl'
with open(fname, 'rb') as f:
tnet = pickle.load(f)
if reload_object:
reloadnet = teneto.TenetoBIDS(tnet.BIDS_dir, pipeline=tnet.pipeline, pipeline_subdir=tnet.pipeline_subdir, bids_tags=tnet.bids_tags, bids_suffix=tnet.bids_suffix,
bad_subjects=tnet.bad_subjects, confound_pipeline=tnet.confound_pipeline, raw_data_exists=tnet.raw_data_exists, njobs=tnet.njobs)
reloadnet.histroy = tnet.history
tnet = reloadnet
return tnet | python | def load_frompickle(cls, fname, reload_object=False):
"""
Loaded saved instance of
fname : str
path to pickle object (output of TenetoBIDS.save_aspickle)
reload_object : bool (default False)
reloads object by calling teneto.TenetoBIDS (some information lost, for development)
Returns
-------
self :
TenetoBIDS instance
"""
if fname[-4:] != '.pkl':
fname += '.pkl'
with open(fname, 'rb') as f:
tnet = pickle.load(f)
if reload_object:
reloadnet = teneto.TenetoBIDS(tnet.BIDS_dir, pipeline=tnet.pipeline, pipeline_subdir=tnet.pipeline_subdir, bids_tags=tnet.bids_tags, bids_suffix=tnet.bids_suffix,
bad_subjects=tnet.bad_subjects, confound_pipeline=tnet.confound_pipeline, raw_data_exists=tnet.raw_data_exists, njobs=tnet.njobs)
reloadnet.histroy = tnet.history
tnet = reloadnet
return tnet | [
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fname : str
path to pickle object (output of TenetoBIDS.save_aspickle)
reload_object : bool (default False)
reloads object by calling teneto.TenetoBIDS (some information lost, for development)
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TenetoBIDS instance | [
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"of"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1541-L1564 | train | Loads a TenetoBIDS object from a pickle file. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(836 - 788) + chr(1996 - 1885) + chr(50) + chr(0b101000 + 0o13) + chr(1361 - 1313), ord("\x08")), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b111011 + 0o64) + chr(0b110010) + chr(50) + '\063', 64575 - 64567), nzTpIcepk0o8('\x30' + '\x6f' + '\x35' + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(2150 - 2096) + chr(0b10111 + 0o40), 7766 - 7758), nzTpIcepk0o8('\060' + '\157' + '\063' + chr(0b100000 + 0o20) + chr(1108 - 1053), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\061' + chr(1446 - 1392) + chr(52), 11994 - 11986), nzTpIcepk0o8(chr(182 - 134) + chr(0b1101111) + chr(0b110010) + '\x36', 0o10), nzTpIcepk0o8('\x30' + chr(3228 - 3117) + '\x32' + chr(55), ord("\x08")), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b1111 + 0o42) + chr(1868 - 1813) + '\x32', 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + '\063' + chr(48), 8), nzTpIcepk0o8('\060' + chr(0b111 + 0o150) + chr(0b110111) + chr(49), 29544 - 29536), nzTpIcepk0o8(chr(0b110000) + '\157' + '\x31' + chr(0b11101 + 0o30) + chr(0b11000 + 0o37), 0o10), nzTpIcepk0o8(chr(0b101100 + 0o4) + '\157' + chr(0b110000 + 0o1) + '\x34' + chr(0b1101 + 0o44), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + chr(1759 - 1708) + chr(1820 - 1772) + chr(0b110010), 17445 - 17437), nzTpIcepk0o8('\x30' + '\157' + chr(751 - 699) + '\060', 44933 - 44925), nzTpIcepk0o8('\060' + chr(0b111101 + 0o62) + chr(443 - 393) + '\064', 6169 - 6161), nzTpIcepk0o8(chr(0b100001 + 0o17) + '\157' + '\x33' + chr(880 - 830) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(49) + '\066' + chr(0b1101 + 0o43), ord("\x08")), nzTpIcepk0o8(chr(0b10010 + 0o36) + '\x6f' + chr(0b10111 + 0o32) + chr(2478 - 2427) + '\x32', 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + chr(53) + '\x37', 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(48), 0b1000), nzTpIcepk0o8('\060' + chr(0b11010 + 0o125) + chr(55) + chr(54), 0o10), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(9221 - 9110) + chr(0b11101 + 0o25), 0o10), nzTpIcepk0o8(chr(1144 - 1096) + '\x6f' + '\063' + chr(2213 - 2164) + chr(2162 - 2107), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(111) + '\061' + chr(54) + chr(0b1010 + 0o46), 8), nzTpIcepk0o8('\x30' + chr(2769 - 2658) + chr(50) + chr(2690 - 2635) + chr(0b110011), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + '\x32' + chr(52), 0b1000), nzTpIcepk0o8(chr(0b10 + 0o56) + '\x6f' + '\063' + chr(0b11100 + 0o24) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\x30' + chr(9149 - 9038) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(111) + chr(0b110010) + chr(0b110000) + chr(2288 - 2238), 0o10), nzTpIcepk0o8(chr(1585 - 1537) + chr(0b1101111) + chr(0b10010 + 0o41) + '\x33' + '\066', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b11001 + 0o32) + chr(121 - 73) + '\060', 0b1000), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110001) + '\x32' + chr(0b110011), 40038 - 40030), nzTpIcepk0o8(chr(825 - 777) + chr(0b1101111) + '\066' + '\066', 0b1000), nzTpIcepk0o8(chr(48) + chr(11914 - 11803) + chr(101 - 51) + chr(0b10000 + 0o43) + '\064', 13674 - 13666), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\061' + '\x36' + chr(0b11110 + 0o22), 8), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(2852 - 2797) + chr(52), 13543 - 13535), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b100101 + 0o17) + chr(0b110111 + 0o0), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + '\063' + chr(0b110011) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(199 - 150) + '\x33' + '\x33', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(111) + '\x35' + chr(0b101100 + 0o4), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb6'), chr(5154 - 5054) + chr(576 - 475) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(2663 - 2607)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Dzk_eA98dqh4(_1vzISbJ_R2i, jXqxEQuu_5DD, UAIt08OPoFIs=nzTpIcepk0o8(chr(0b100000 + 0o20) + '\x6f' + '\x30', ord("\x08"))):
if jXqxEQuu_5DD[-nzTpIcepk0o8('\x30' + chr(11635 - 11524) + chr(52), ord("\x08")):] != roI3spqORKae(ES5oEprVxulp(b'\xb6\xe3@['), chr(100) + '\145' + chr(99) + chr(0b101001 + 0o106) + chr(0b101110 + 0o66) + chr(0b1000110 + 0o37))(chr(8444 - 8327) + chr(0b101011 + 0o111) + chr(0b1100110) + chr(451 - 406) + chr(0b110000 + 0o10)):
jXqxEQuu_5DD += roI3spqORKae(ES5oEprVxulp(b'\xb6\xe3@['), chr(0b1000011 + 0o41) + chr(4558 - 4457) + '\x63' + chr(0b1101111) + chr(2521 - 2421) + '\145')('\165' + chr(0b1110100) + '\x66' + chr(1520 - 1475) + '\x38')
with DnU3Rq9N5ala(jXqxEQuu_5DD, roI3spqORKae(ES5oEprVxulp(b'\xea\xf1'), chr(4836 - 4736) + '\145' + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1101101 + 0o10) + chr(116) + chr(0b1100110) + chr(45) + chr(56))) as _R8IKF5IwAfX:
sHR__4_c0Uoo = crHBwl6R77Za.ZERsdc7c1d8E(_R8IKF5IwAfX)
if UAIt08OPoFIs:
_VQToUnawRyb = mfNgQb_vYBmS.TenetoBIDS(sHR__4_c0Uoo.BIDS_dir, pipeline=sHR__4_c0Uoo.mh2EOTqBBBbo, pipeline_subdir=sHR__4_c0Uoo.pipeline_subdir, bids_tags=sHR__4_c0Uoo.bids_tags, bids_suffix=sHR__4_c0Uoo.lfgjrRA5T6R9, bad_subjects=sHR__4_c0Uoo.bad_subjects, confound_pipeline=sHR__4_c0Uoo.c3NeMlIIe_SD, raw_data_exists=sHR__4_c0Uoo.raw_data_exists, njobs=sHR__4_c0Uoo.njobs)
_VQToUnawRyb.YHVgiEce7GSG = sHR__4_c0Uoo.v7fOR4wOhUN2
sHR__4_c0Uoo = _VQToUnawRyb
return sHR__4_c0Uoo |
wiheto/teneto | teneto/classes/bids.py | TenetoBIDS.load_data | def load_data(self, datatype='tvc', tag=None, measure=''):
"""
Function loads time-varying connectivity estimates created by the TenetoBIDS.derive function.
The default grabs all data (in numpy arrays) in the teneto/../func/tvc/ directory.
Data is placed in teneto.tvc_data_
Parameters
----------
datatype : str
\'tvc\', \'parcellation\', \'participant\', \'temporalnetwork\'
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
measure : str
retquired when datatype is temporalnetwork. A networkmeasure that should be loaded.
Returns
-------
tvc_data_ : numpy array
Containing the parcellation data. Each file is appended to the first dimension of the numpy array.
tvc_trialinfo_ : pandas data frame
Containing the subject info (all BIDS tags) in the numpy array.
"""
if datatype == 'temporalnetwork' and not measure:
raise ValueError(
'When datatype is temporalnetwork, \'measure\' must also be specified.')
self.add_history(inspect.stack()[0][3], locals(), 1)
data_list = []
trialinfo_list = []
for s in self.bids_tags['sub']:
# Define base folder
base_path, file_list, datainfo = self._get_filelist(
datatype, s, tag, measure=measure)
if base_path:
for f in file_list:
# Include only if all analysis step tags are present
# Get all BIDS tags. i.e. in 'sub-AAA', get 'sub' as key and 'AAA' as item.
# Ignore if tsv file is empty
try:
filetags = get_bids_tag(f, 'all')
data_list.append(load_tabular_file(base_path + f))
# Only return trialinfo if datatype is trlinfo
if datainfo == 'trlinfo':
trialinfo_list.append(
pd.DataFrame(filetags, index=[0]))
except pd.errors.EmptyDataError:
pass
# If group data and length of output is one, don't make it a list
if datatype == 'group' and len(data_list) == 1:
data_list = data_list[0]
if measure:
data_list = {measure: data_list}
setattr(self, datatype + '_data_', data_list)
if trialinfo_list:
out_trialinfo = pd.concat(trialinfo_list)
out_trialinfo.reset_index(inplace=True, drop=True)
setattr(self, datatype + '_trialinfo_', out_trialinfo) | python | def load_data(self, datatype='tvc', tag=None, measure=''):
"""
Function loads time-varying connectivity estimates created by the TenetoBIDS.derive function.
The default grabs all data (in numpy arrays) in the teneto/../func/tvc/ directory.
Data is placed in teneto.tvc_data_
Parameters
----------
datatype : str
\'tvc\', \'parcellation\', \'participant\', \'temporalnetwork\'
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
measure : str
retquired when datatype is temporalnetwork. A networkmeasure that should be loaded.
Returns
-------
tvc_data_ : numpy array
Containing the parcellation data. Each file is appended to the first dimension of the numpy array.
tvc_trialinfo_ : pandas data frame
Containing the subject info (all BIDS tags) in the numpy array.
"""
if datatype == 'temporalnetwork' and not measure:
raise ValueError(
'When datatype is temporalnetwork, \'measure\' must also be specified.')
self.add_history(inspect.stack()[0][3], locals(), 1)
data_list = []
trialinfo_list = []
for s in self.bids_tags['sub']:
# Define base folder
base_path, file_list, datainfo = self._get_filelist(
datatype, s, tag, measure=measure)
if base_path:
for f in file_list:
# Include only if all analysis step tags are present
# Get all BIDS tags. i.e. in 'sub-AAA', get 'sub' as key and 'AAA' as item.
# Ignore if tsv file is empty
try:
filetags = get_bids_tag(f, 'all')
data_list.append(load_tabular_file(base_path + f))
# Only return trialinfo if datatype is trlinfo
if datainfo == 'trlinfo':
trialinfo_list.append(
pd.DataFrame(filetags, index=[0]))
except pd.errors.EmptyDataError:
pass
# If group data and length of output is one, don't make it a list
if datatype == 'group' and len(data_list) == 1:
data_list = data_list[0]
if measure:
data_list = {measure: data_list}
setattr(self, datatype + '_data_', data_list)
if trialinfo_list:
out_trialinfo = pd.concat(trialinfo_list)
out_trialinfo.reset_index(inplace=True, drop=True)
setattr(self, datatype + '_trialinfo_', out_trialinfo) | [
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The default grabs all data (in numpy arrays) in the teneto/../func/tvc/ directory.
Data is placed in teneto.tvc_data_
Parameters
----------
datatype : str
\'tvc\', \'parcellation\', \'participant\', \'temporalnetwork\'
tag : str or list
any additional tag that must be in file name. After the tag there must either be a underscore or period (following bids).
measure : str
retquired when datatype is temporalnetwork. A networkmeasure that should be loaded.
Returns
-------
tvc_data_ : numpy array
Containing the parcellation data. Each file is appended to the first dimension of the numpy array.
tvc_trialinfo_ : pandas data frame
Containing the subject info (all BIDS tags) in the numpy array. | [
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"... | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/classes/bids.py#L1636-L1698 | train | Loads the data from the TenetoBIDS. derive function. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\060' + chr(111) + '\x32' + chr(0b110110), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110000), 0b1000), nzTpIcepk0o8(chr(0b1 + 0o57) + '\157' + chr(50) + '\067' + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + chr(552 - 499) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(1546 - 1498) + chr(0b111101 + 0o62) + chr(2082 - 2031) + '\066' + '\x32', 0b1000), nzTpIcepk0o8('\060' + chr(0b101111 + 0o100) + chr(50) + '\x34' + chr(0b110101), 9260 - 9252), nzTpIcepk0o8(chr(0b101100 + 0o4) + '\x6f' + '\x32' + '\065' + chr(0b101110 + 0o4), 0o10), nzTpIcepk0o8(chr(1042 - 994) + chr(0b1101111) + chr(973 - 923) + chr(0b110000) + chr(0b101100 + 0o13), 17397 - 17389), nzTpIcepk0o8('\x30' + chr(0b11011 + 0o124) + chr(1642 - 1593) + chr(1633 - 1585) + chr(95 - 42), ord("\x08")), nzTpIcepk0o8('\060' + chr(11638 - 11527) + chr(0b1011 + 0o50) + chr(0b110100) + chr(104 - 49), 0b1000), nzTpIcepk0o8(chr(48) + chr(6353 - 6242) + chr(0b1010 + 0o51) + '\x36' + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(148 - 97) + chr(1307 - 1258), 0b1000), nzTpIcepk0o8(chr(48) + '\157' + chr(0b110010) + '\066' + chr(48), ord("\x08")), nzTpIcepk0o8(chr(0b10 + 0o56) + '\x6f' + '\062' + chr(51) + '\x30', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b100 + 0o62) + chr(0b101110 + 0o3), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b110111) + chr(52), ord("\x08")), nzTpIcepk0o8(chr(205 - 157) + '\157' + chr(1139 - 1089) + chr(0b110110) + '\061', 8), nzTpIcepk0o8(chr(0b110000) + chr(0b10111 + 0o130) + chr(0b100011 + 0o21) + chr(0b0 + 0o61), 0o10), nzTpIcepk0o8(chr(1158 - 1110) + '\x6f' + chr(695 - 646) + '\x37' + '\064', ord("\x08")), nzTpIcepk0o8('\060' + chr(0b101110 + 0o101) + chr(0b110011) + chr(1630 - 1575) + '\064', 0o10), nzTpIcepk0o8(chr(48) + '\157' + chr(53) + chr(502 - 454), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + '\062' + chr(0b100 + 0o56) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110011) + chr(0b110010) + '\061', 0o10), nzTpIcepk0o8(chr(0b1100 + 0o44) + chr(111) + chr(49) + chr(0b10111 + 0o36) + chr(0b110010), 0b1000), nzTpIcepk0o8(chr(0b10100 + 0o34) + '\157' + '\063' + chr(2249 - 2198), 0o10), nzTpIcepk0o8(chr(183 - 135) + chr(0b1101111) + chr(0b110100 + 0o3) + chr(54), 0b1000), nzTpIcepk0o8(chr(435 - 387) + chr(111) + chr(1859 - 1808) + '\062' + chr(0b110111), 0b1000), nzTpIcepk0o8('\x30' + '\x6f' + '\x31' + chr(53) + chr(2033 - 1978), 0o10), nzTpIcepk0o8(chr(0b101001 + 0o7) + chr(0b1101101 + 0o2) + chr(49) + chr(0b100111 + 0o17) + chr(51), 0b1000), nzTpIcepk0o8('\x30' + chr(111) + '\061' + chr(0b101000 + 0o10), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b101000 + 0o107) + '\x33' + chr(48) + '\x37', 0o10), nzTpIcepk0o8('\060' + chr(5509 - 5398) + '\067' + chr(0b1111 + 0o43), 22161 - 22153), nzTpIcepk0o8('\060' + chr(0b1011 + 0o144) + '\062' + chr(53) + chr(0b110111), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b110011) + '\x33' + chr(0b10001 + 0o42), 18735 - 18727), nzTpIcepk0o8('\x30' + '\157' + chr(0b110011 + 0o1), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b101110 + 0o4) + '\066', 8), nzTpIcepk0o8(chr(48) + '\157' + chr(50) + chr(50) + '\x36', 0o10), nzTpIcepk0o8('\060' + chr(132 - 21) + chr(0b110010) + chr(0b10100 + 0o40) + chr(0b11010 + 0o31), 0o10), nzTpIcepk0o8('\x30' + chr(4544 - 4433) + '\x31' + chr(0b100010 + 0o22) + chr(0b110011), 0o10), nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(0b10010 + 0o135) + chr(0b0 + 0o63) + '\061' + '\067', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(48) + chr(0b100010 + 0o115) + chr(2672 - 2619) + '\060', 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'8'), chr(5848 - 5748) + '\x65' + '\x63' + '\157' + chr(0b1010010 + 0o22) + chr(0b10001 + 0o124))('\165' + '\164' + chr(0b1100110) + '\x2d' + chr(0b10101 + 0o43)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def uVzpHCQkKMfe(hXMPsSrOQzbh, nikn3KCZRu0B=roI3spqORKae(ES5oEprVxulp(b'bv\xdb'), chr(0b10011 + 0o121) + chr(101) + chr(5813 - 5714) + chr(5139 - 5028) + '\x64' + chr(0b1100101))(chr(0b111101 + 0o70) + chr(0b1110100) + '\146' + chr(45) + chr(0b101110 + 0o12)), A0gVABhHjc3L=None, eD5Jw5KZkmIm=roI3spqORKae(ES5oEprVxulp(b''), chr(100) + chr(1944 - 1843) + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(101))('\165' + chr(116) + '\146' + chr(0b100111 + 0o6) + chr(0b101111 + 0o11))):
if nikn3KCZRu0B == roI3spqORKae(ES5oEprVxulp(b'be\xd5\x9c\x9d\xd7\xcb\xeb+\x82\x87n\xdf\xea\xda'), chr(4905 - 4805) + '\x65' + chr(5341 - 5242) + '\x6f' + chr(100) + chr(7128 - 7027))(chr(0b1110001 + 0o4) + '\x74' + chr(102) + chr(0b101101) + '\070') and (not eD5Jw5KZkmIm):
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'Ah\xdd\x82\xd2\xc1\xcb\xf3$\x93\x8ai\xd5\xb8\xd8O\x91U\x19\x91X\xfc\xa3\x0bwP\xb2\x1b\x04g\xb5Q\x83\xfb#{\xf3\xc2\x10\xbade\x9f\xcc\x9f\xd0\xd9\xf3e\x86\x9fj\xdf\xb8\xd3Y\x91R\x0c\x99K\xfa\xb7\x03~Z\xf9'), chr(0b10 + 0o142) + chr(101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')(chr(0b1110101) + chr(0b1110011 + 0o1) + chr(102) + chr(45) + '\070'))
roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'wd\xdc\xb3\x9a\xcc\xd9\xf3*\x95\x8a'), chr(0b101011 + 0o71) + chr(101) + chr(0b1011111 + 0o4) + chr(10528 - 10417) + '\144' + chr(6786 - 6685))('\165' + chr(0b101 + 0o157) + chr(0b101100 + 0o72) + chr(0b101101) + '\070'))(roI3spqORKae(fqyA_Zm6qdLB, roI3spqORKae(ES5oEprVxulp(b'Qm\xf2\xb5\x8b\xdf\xf2\xe6\x14\xa6\x89Z'), chr(0b1000100 + 0o40) + '\x65' + chr(0b1100011) + chr(0b1101111) + '\x64' + chr(0b1010011 + 0o22))('\x75' + chr(116) + chr(102) + chr(0b101101) + '\070'))()[nzTpIcepk0o8(chr(2189 - 2141) + chr(0b10 + 0o155) + '\060', 8)][nzTpIcepk0o8(chr(48) + chr(0b1101010 + 0o5) + '\x33', ord("\x08"))], y0cCpS6dh4OT(), nzTpIcepk0o8(chr(48) + chr(111) + chr(49), 0o10))
zeZJOj1cunVQ = []
w6GcvG2L77_w = []
for PmE5_h409JAA in roI3spqORKae(hXMPsSrOQzbh, roI3spqORKae(ES5oEprVxulp(b'ti\xdc\x9f\xad\xd1\xcb\xe06'), chr(0b11000 + 0o114) + chr(101) + chr(0b1100011) + chr(111) + chr(7528 - 7428) + chr(9438 - 9337))(chr(3614 - 3497) + chr(116) + chr(7864 - 7762) + '\x2d' + '\x38'))[roI3spqORKae(ES5oEprVxulp(b'eu\xda'), chr(0b1100100) + '\x65' + '\143' + chr(0b1000011 + 0o54) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1100 + 0o150) + chr(102) + chr(887 - 842) + chr(56))]:
(wiLlALodQDZp, qmm64CW5gtzv, tpu9h8p80bP8) = hXMPsSrOQzbh._get_filelist(nikn3KCZRu0B, PmE5_h409JAA, A0gVABhHjc3L, measure=eD5Jw5KZkmIm)
if wiLlALodQDZp:
for _R8IKF5IwAfX in qmm64CW5gtzv:
try:
m8VS_OAX1Qpo = Zc48qyjAPWiZ(_R8IKF5IwAfX, roI3spqORKae(ES5oEprVxulp(b'wl\xd4'), chr(100) + chr(101) + '\x63' + '\157' + '\x64' + '\x65')(chr(0b1110101) + chr(12624 - 12508) + chr(0b1100110) + chr(0b100001 + 0o14) + '\070'))
roI3spqORKae(zeZJOj1cunVQ, roI3spqORKae(ES5oEprVxulp(b'^T\xeb\xd8\x8a\xc2\xed\xe8/\x88\xa6,'), chr(0b1100100) + chr(0b110010 + 0o63) + chr(0b1100011) + chr(4396 - 4285) + chr(4996 - 4896) + chr(0b1101 + 0o130))(chr(0b1010011 + 0o42) + chr(116) + chr(102) + '\055' + '\x38'))(Tv1n_fmB7cly(wiLlALodQDZp + _R8IKF5IwAfX))
if tpu9h8p80bP8 == roI3spqORKae(ES5oEprVxulp(b'br\xd4\x85\x9c\xc3\xc5'), chr(0b1010010 + 0o22) + chr(101) + chr(99) + chr(0b1000001 + 0o56) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\070'):
roI3spqORKae(w6GcvG2L77_w, roI3spqORKae(ES5oEprVxulp(b'^T\xeb\xd8\x8a\xc2\xed\xe8/\x88\xa6,'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(1712 - 1611))('\165' + chr(0b1110100) + '\x66' + chr(45) + chr(1078 - 1022)))(roI3spqORKae(HLKt4sa1j9hm, roI3spqORKae(ES5oEprVxulp(b'Ra\xcc\x8d\xb4\xd7\xcb\xea '), '\144' + '\145' + chr(0b1001010 + 0o31) + chr(0b1101111) + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(0b1100110) + '\x2d' + chr(56)))(m8VS_OAX1Qpo, index=[nzTpIcepk0o8('\x30' + chr(4152 - 4041) + '\060', 8)]))
except roI3spqORKae(HLKt4sa1j9hm.errors, roI3spqORKae(ES5oEprVxulp(b'Sm\xc8\x98\x8b\xe1\xcb\xf3$\xa2\x81k\xdf\xea'), chr(0b11001 + 0o113) + chr(413 - 312) + '\x63' + '\157' + '\x64' + '\145')(chr(0b100001 + 0o124) + chr(0b110101 + 0o77) + chr(7956 - 7854) + chr(45) + chr(191 - 135))):
pass
if nikn3KCZRu0B == roI3spqORKae(ES5oEprVxulp(b'qr\xd7\x99\x82'), chr(0b1100100) + chr(101) + chr(6335 - 6236) + chr(0b1101111) + '\x64' + chr(0b11101 + 0o110))(chr(117) + chr(0b1011110 + 0o26) + '\x66' + '\x2d' + chr(0b111000)) and ftfygxgFas5X(zeZJOj1cunVQ) == nzTpIcepk0o8(chr(48) + chr(111) + '\x31', 8):
zeZJOj1cunVQ = zeZJOj1cunVQ[nzTpIcepk0o8(chr(1369 - 1321) + '\x6f' + chr(1671 - 1623), 8)]
if eD5Jw5KZkmIm:
zeZJOj1cunVQ = {eD5Jw5KZkmIm: zeZJOj1cunVQ}
lCf1uzpaIUMv(hXMPsSrOQzbh, nikn3KCZRu0B + roI3spqORKae(ES5oEprVxulp(b'Id\xd9\x98\x93\xfa'), chr(0b1100100) + chr(0b1100101) + chr(0b1011000 + 0o13) + chr(0b1100000 + 0o17) + '\144' + chr(0b110111 + 0o56))('\165' + '\164' + '\x66' + '\x2d' + chr(0b11011 + 0o35)), zeZJOj1cunVQ)
if w6GcvG2L77_w:
eQQE9tx1meXt = HLKt4sa1j9hm.concat(w6GcvG2L77_w)
roI3spqORKae(eQQE9tx1meXt, roI3spqORKae(ES5oEprVxulp(b'de\xcb\x89\x86\xfa\xc3\xe9!\x82\x8b'), '\144' + '\145' + chr(99) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(116) + chr(0b1001100 + 0o32) + '\x2d' + chr(0b11100 + 0o34)))(inplace=nzTpIcepk0o8('\060' + '\x6f' + chr(1715 - 1666), 8), drop=nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001), 8))
lCf1uzpaIUMv(hXMPsSrOQzbh, nikn3KCZRu0B + roI3spqORKae(ES5oEprVxulp(b'It\xca\x85\x93\xc9\xc3\xe9#\x88\xac'), chr(6894 - 6794) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + chr(0b1100110) + chr(699 - 654) + '\x38'), eQQE9tx1meXt) |
wiheto/teneto | teneto/networkmeasures/temporal_closeness_centrality.py | temporal_closeness_centrality | def temporal_closeness_centrality(tnet=None, paths=None):
'''
Returns temporal closeness centrality per node.
Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
temporal closness centrality (nodal measure)
'''
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
closeness = np.nansum(1 / np.nanmean(pathmat, axis=2),
axis=1) / (pathmat.shape[1] - 1)
return closeness | python | def temporal_closeness_centrality(tnet=None, paths=None):
'''
Returns temporal closeness centrality per node.
Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
temporal closness centrality (nodal measure)
'''
if tnet is not None and paths is not None:
raise ValueError('Only network or path input allowed.')
if tnet is None and paths is None:
raise ValueError('No input.')
# if shortest paths are not calculated, calculate them
if tnet is not None:
paths = shortest_temporal_path(tnet)
pathmat = np.zeros([paths[['from', 'to']].max().max(
)+1, paths[['from', 'to']].max().max()+1, paths[['t_start']].max().max()+1]) * np.nan
pathmat[paths['from'].values, paths['to'].values,
paths['t_start'].values] = paths['temporal-distance']
closeness = np.nansum(1 / np.nanmean(pathmat, axis=2),
axis=1) / (pathmat.shape[1] - 1)
return closeness | [
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... | Returns temporal closeness centrality per node.
Parameters
-----------
Input should be *either* tnet or paths.
data : array or dict
Temporal network input (graphlet or contact). nettype: 'bu', 'bd'.
paths : pandas dataframe
Output of TenetoBIDS.networkmeasure.shortest_temporal_paths
Returns
--------
:close: array
temporal closness centrality (nodal measure) | [
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/temporal_closeness_centrality.py#L9-L52 | train | Returns temporal closeness centrality per node. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b100100 + 0o21), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(2140 - 2086) + chr(1643 - 1595), ord("\x08")), nzTpIcepk0o8(chr(66 - 18) + chr(0b10010 + 0o135) + chr(0b11010 + 0o27) + chr(0b110110) + '\067', 0b1000), nzTpIcepk0o8('\060' + '\157' + chr(1674 - 1625) + '\x32' + chr(2597 - 2543), 0b1000), nzTpIcepk0o8('\060' + '\x6f' + '\x31' + chr(54) + chr(0b100101 + 0o15), 0o10), nzTpIcepk0o8(chr(0b110 + 0o52) + chr(0b1101111) + '\061' + chr(0b110010) + chr(533 - 483), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(2049 - 1998) + chr(0b11001 + 0o33) + chr(0b101100 + 0o12), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b100000 + 0o117) + chr(1670 - 1620) + chr(0b101001 + 0o16) + chr(0b110000), 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(2324 - 2269) + chr(0b11 + 0o57), ord("\x08")), nzTpIcepk0o8(chr(1944 - 1896) + chr(0b100101 + 0o112) + chr(0b1000 + 0o51) + '\x36' + '\x35', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b111010 + 0o65) + chr(51) + chr(53), 16486 - 16478), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(0b110011) + '\064' + chr(0b110100), 0o10), nzTpIcepk0o8('\060' + '\157' + '\062' + '\x35' + '\066', 0b1000), nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(111) + chr(1376 - 1325) + chr(0b110000) + chr(51), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1010111 + 0o30) + chr(0b110101) + chr(49), 21306 - 21298), nzTpIcepk0o8(chr(200 - 152) + chr(9181 - 9070) + '\064' + chr(0b10001 + 0o40), 0b1000), nzTpIcepk0o8(chr(48) + '\x6f' + '\x31' + chr(53) + chr(55), ord("\x08")), nzTpIcepk0o8('\060' + chr(10547 - 10436) + '\x31' + chr(0b101 + 0o54) + chr(0b101001 + 0o12), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o47) + chr(51) + '\x33', 34389 - 34381), nzTpIcepk0o8(chr(1314 - 1266) + '\157' + '\063', 0b1000), nzTpIcepk0o8(chr(0b1110 + 0o42) + '\x6f' + chr(50) + chr(52) + chr(0b110111), 24195 - 24187), nzTpIcepk0o8(chr(0b100 + 0o54) + chr(11024 - 10913) + chr(0b110010) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x33' + chr(1271 - 1220) + '\x35', 0b1000), nzTpIcepk0o8('\060' + chr(111) + chr(0b110001) + chr(0b110000) + '\x37', ord("\x08")), nzTpIcepk0o8(chr(650 - 602) + chr(2025 - 1914) + chr(2838 - 2784) + '\066', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\066' + chr(1571 - 1518), 58676 - 58668), nzTpIcepk0o8('\060' + '\157' + '\x32' + '\065' + chr(55), 48686 - 48678), nzTpIcepk0o8('\060' + '\x6f' + '\x33' + '\061' + chr(53), ord("\x08")), nzTpIcepk0o8('\x30' + '\x6f' + chr(49) + chr(52) + chr(1928 - 1875), 0b1000), nzTpIcepk0o8('\x30' + '\157' + chr(49) + chr(55) + '\x34', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(222 - 173) + chr(0b11101 + 0o31) + chr(0b110000), 0o10), nzTpIcepk0o8(chr(0b1110 + 0o42) + chr(0b1101111) + '\x33' + chr(0b110101) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b100110 + 0o13) + chr(55) + chr(0b110100), 8), nzTpIcepk0o8('\060' + '\x6f' + chr(0b110011) + '\063', 0o10), nzTpIcepk0o8(chr(660 - 612) + '\x6f' + chr(0b10100 + 0o36) + chr(0b100011 + 0o23) + chr(0b1101 + 0o44), 0o10), nzTpIcepk0o8('\060' + chr(111) + chr(50) + chr(0b110100) + chr(0b10100 + 0o37), ord("\x08")), nzTpIcepk0o8(chr(0b11011 + 0o25) + chr(229 - 118) + chr(1451 - 1400) + '\x37' + chr(0b110101), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\062' + chr(2680 - 2628) + '\064', ord("\x08")), nzTpIcepk0o8('\x30' + chr(11806 - 11695) + chr(0b10011 + 0o40) + chr(0b101101 + 0o11) + chr(0b100101 + 0o20), 60033 - 60025), nzTpIcepk0o8('\060' + chr(111) + chr(0b11111 + 0o22) + chr(50) + chr(0b0 + 0o65), 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8('\060' + chr(10114 - 10003) + chr(0b110101) + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'+'), '\144' + '\x65' + '\x63' + '\x6f' + chr(100) + chr(7013 - 6912))(chr(7493 - 7376) + chr(0b1110100) + '\146' + chr(0b101101) + '\070') + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def hyTS8iGrJWUs(sHR__4_c0Uoo=None, IQFTbBEt8buE=None):
if sHR__4_c0Uoo is not None and IQFTbBEt8buE is not None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'J^\x1b/R<\x83\xccM\x1ao\x8f\x8e\xac[\x01\x1f*/k\x87}\xb37CA\x8f\xac\t\x10\x1f\x9b\x19\x7f\x9f'), '\x64' + chr(0b111010 + 0o53) + chr(0b1100011) + chr(0b1100001 + 0o16) + chr(100) + chr(5473 - 5372))(chr(0b111101 + 0o70) + '\164' + '\x66' + chr(0b101101) + '\070'))
if sHR__4_c0Uoo is None and IQFTbBEt8buE is None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'K_W?\x1c"\x93\xcc\x14'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + chr(0b101100 + 0o70) + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(102) + chr(1536 - 1491) + '\x38'))
if sHR__4_c0Uoo is not None:
IQFTbBEt8buE = DekaYgFY7DH2(sHR__4_c0Uoo)
gU7xbNSvlcoW = nDF4gVNx0u9Q.UmwwEp7MzR6q([IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'cB\x18;'), chr(7884 - 7784) + chr(0b11100 + 0o111) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\145')(chr(117) + chr(438 - 322) + chr(7910 - 7808) + '\x2d' + chr(1364 - 1308)), roI3spqORKae(ES5oEprVxulp(b'q_'), '\x64' + chr(0b10110 + 0o117) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b10 + 0o143))(chr(0b1011111 + 0o26) + chr(9379 - 9263) + chr(102) + chr(1079 - 1034) + '\x38')]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(48) + chr(9674 - 9563) + chr(0b110001), ord("\x08")), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'cB\x18;'), chr(0b1100100) + '\x65' + '\143' + '\157' + '\x64' + chr(839 - 738))('\165' + chr(116) + chr(0b1101 + 0o131) + '\x2d' + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'q_'), chr(0b1100100) + chr(0b1100101) + chr(0b110110 + 0o55) + '\157' + chr(0b1000100 + 0o40) + chr(101))('\x75' + chr(116) + chr(102) + chr(246 - 201) + '\070')]].max().KV9ckIhroIia() + nzTpIcepk0o8(chr(0b10011 + 0o35) + chr(6043 - 5932) + chr(49), 8), IQFTbBEt8buE[[roI3spqORKae(ES5oEprVxulp(b'qo\x04"\x13 \x92'), chr(100) + chr(101) + chr(99) + '\157' + chr(343 - 243) + chr(101))(chr(117) + chr(116) + chr(0b1100110) + chr(571 - 526) + '\x38')]].max().KV9ckIhroIia() + nzTpIcepk0o8('\x30' + chr(2210 - 2099) + chr(0b110001), 8)]) * nDF4gVNx0u9Q.nan
gU7xbNSvlcoW[IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'cB\x18;'), chr(891 - 791) + '\145' + '\x63' + chr(0b1101111) + chr(1561 - 1461) + chr(1301 - 1200))(chr(5835 - 5718) + chr(0b1110100) + '\146' + chr(45) + chr(0b11011 + 0o35))].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'q_'), chr(4767 - 4667) + chr(101) + chr(0b1010011 + 0o20) + chr(111) + chr(100) + '\x65')('\165' + chr(116) + chr(0b101 + 0o141) + chr(0b10001 + 0o34) + chr(1137 - 1081))].CsodZJH6x9Tx, IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'qo\x04"\x13 \x92'), '\x64' + chr(4666 - 4565) + chr(0b1100011) + '\x6f' + chr(5570 - 5470) + '\x65')(chr(7497 - 7380) + chr(10409 - 10293) + chr(0b1100110) + chr(45) + '\x38')].CsodZJH6x9Tx] = IQFTbBEt8buE[roI3spqORKae(ES5oEprVxulp(b'qU\x1a&\x1d \x87\xd4\x17\x11t\x97\xda\xa2GB\n'), '\144' + chr(8031 - 7930) + chr(0b1100011) + chr(111) + chr(100) + chr(101))(chr(0b1000011 + 0o62) + '\164' + chr(8174 - 8072) + chr(0b1100 + 0o41) + chr(0b111000))]
a0aePS6NXBKC = nDF4gVNx0u9Q.nansum(nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(7270 - 7159) + chr(0b100010 + 0o17), 8) / nDF4gVNx0u9Q.nanmean(gU7xbNSvlcoW, axis=nzTpIcepk0o8('\x30' + chr(6574 - 6463) + '\x32', 57458 - 57450)), axis=nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(111) + chr(0b100100 + 0o15), 8)) / (gU7xbNSvlcoW.lhbM092AFW8f[nzTpIcepk0o8(chr(1952 - 1904) + '\x6f' + chr(0b110001), 8)] - nzTpIcepk0o8(chr(0b100 + 0o54) + chr(3160 - 3049) + chr(0b110001), 8))
return a0aePS6NXBKC |
wiheto/teneto | teneto/networkmeasures/sid.py | sid | def sid(tnet, communities, axis=0, calc='global', decay=0):
r"""
Segregation integration difference (SID). An estimation of each community or global difference of within versus between community strength.[sid-1]_
Parameters
----------
tnet: array, dict
Temporal network input (graphlet or contact). Allowerd nettype: 'bu', 'bd', 'wu', 'wd'
communities : array
a Nx1 vector or NxT array of community assignment.
axis : int
Dimension that is returned 0 or 1 (default 0).
Note, only relevant for directed networks.
i.e. if 0, node i has Aijt summed over j and t.
and if 1, node j has Aijt summed over i and t.
calc : str
'global' returns temporal degree centrality (a 1xnode vector) (default);
'community_pairs' returns a community x community x time matrix, which is the SID for each community pairing;
'community_avg' (returns a community x time matrix). Which is the normalized average of each community to all other communities.
decay: int
if calc = 'time', then decay is possible where the centrality of
the previous time point is carried over to the next time point but decays
at a value of $e^decay$ such that the temporal centrality measure becomes: $D_d(t+1) = e^{-decay}D_d(t) + D(t+1)$.
Returns
-------
sid: array
segregation-integration difference. Format: 2d or 3d numpy array (depending on calc) representing (community,community,time) or (community,time)
Notes
------
SID tries to quantify if there is more segergation or intgration compared to other time-points.
If SID > 0, then there is more segregation than usual. If SID < 0, then there is more integration than usual.
There are three different variants of SID, one is a global measure (calc='global'), the second is a value per community (calc='community_avg'),
the third is a value for each community-community pairing (calc='community_pairs').
First we calculate the temporal strength for each edge. This is calculate by
.. math:: S_{i,t} = \sum_j G_{i,j,t}
The pairwise SID, when the network is undirected, is calculated by
.. math:: SID_{A,B,t} = ({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_B}}) S_{A,B,t})
Where :math:`S_{A,t}` is the average temporal strength at time-point t for community A. :math:`N_A` is the number of nodes in community A.
When calculating the SID for a community, it is calculated byL
.. math:: SID_{A,t} = \sum_b^C({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_b}}) S_{A,b,t})
Where C is the number of communities.
When calculating the SID globally, it is calculated byL
.. math:: SID_{t} = \sum_a^C\sum_b^C({2 \over {N_a (N_a - 1)}}) S_{A,t} - ({{1} \over {N_a * N_b}}) S_{a,b,t})
References
-----------
.. [sid-1] Fransson et al (2018) Brain network segregation and integration during an epoch-related working memory fMRI experiment. Neuroimage. 178. [`Link <https://www.sciencedirect.com/science/article/pii/S1053811918304476>`_]
"""
tnet, netinfo = utils.process_input(tnet, ['C', 'G', 'TN'])
D = temporal_degree_centrality(
tnet, calc='time', communities=communities, decay=decay)
# Check network output (order of communitiesworks)
network_ids = np.unique(communities)
communities_size = np.array([sum(communities == n) for n in network_ids])
sid = np.zeros([network_ids.max()+1, network_ids.max()+1, tnet.shape[-1]])
for n in network_ids:
for m in network_ids:
betweenmodulescaling = 1/(communities_size[n]*communities_size[m])
if netinfo['nettype'][1] == 'd':
withinmodulescaling = 1 / \
(communities_size[n]*communities_size[n])
elif netinfo['nettype'][1] == 'u':
withinmodulescaling = 2 / \
(communities_size[n]*(communities_size[n]-1))
if n == m:
betweenmodulescaling = withinmodulescaling
sid[n, m, :] = withinmodulescaling * \
D[n, n, :] - betweenmodulescaling * D[n, m, :]
# If nans emerge than there is no connection between networks at time point, so make these 0.
sid[np.isnan(sid)] = 0
if calc == 'global':
return np.sum(np.sum(sid, axis=1), axis=0)
elif calc == 'communities_avg':
return np.sum(sid, axis=axis)
else:
return sid | python | def sid(tnet, communities, axis=0, calc='global', decay=0):
r"""
Segregation integration difference (SID). An estimation of each community or global difference of within versus between community strength.[sid-1]_
Parameters
----------
tnet: array, dict
Temporal network input (graphlet or contact). Allowerd nettype: 'bu', 'bd', 'wu', 'wd'
communities : array
a Nx1 vector or NxT array of community assignment.
axis : int
Dimension that is returned 0 or 1 (default 0).
Note, only relevant for directed networks.
i.e. if 0, node i has Aijt summed over j and t.
and if 1, node j has Aijt summed over i and t.
calc : str
'global' returns temporal degree centrality (a 1xnode vector) (default);
'community_pairs' returns a community x community x time matrix, which is the SID for each community pairing;
'community_avg' (returns a community x time matrix). Which is the normalized average of each community to all other communities.
decay: int
if calc = 'time', then decay is possible where the centrality of
the previous time point is carried over to the next time point but decays
at a value of $e^decay$ such that the temporal centrality measure becomes: $D_d(t+1) = e^{-decay}D_d(t) + D(t+1)$.
Returns
-------
sid: array
segregation-integration difference. Format: 2d or 3d numpy array (depending on calc) representing (community,community,time) or (community,time)
Notes
------
SID tries to quantify if there is more segergation or intgration compared to other time-points.
If SID > 0, then there is more segregation than usual. If SID < 0, then there is more integration than usual.
There are three different variants of SID, one is a global measure (calc='global'), the second is a value per community (calc='community_avg'),
the third is a value for each community-community pairing (calc='community_pairs').
First we calculate the temporal strength for each edge. This is calculate by
.. math:: S_{i,t} = \sum_j G_{i,j,t}
The pairwise SID, when the network is undirected, is calculated by
.. math:: SID_{A,B,t} = ({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_B}}) S_{A,B,t})
Where :math:`S_{A,t}` is the average temporal strength at time-point t for community A. :math:`N_A` is the number of nodes in community A.
When calculating the SID for a community, it is calculated byL
.. math:: SID_{A,t} = \sum_b^C({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_b}}) S_{A,b,t})
Where C is the number of communities.
When calculating the SID globally, it is calculated byL
.. math:: SID_{t} = \sum_a^C\sum_b^C({2 \over {N_a (N_a - 1)}}) S_{A,t} - ({{1} \over {N_a * N_b}}) S_{a,b,t})
References
-----------
.. [sid-1] Fransson et al (2018) Brain network segregation and integration during an epoch-related working memory fMRI experiment. Neuroimage. 178. [`Link <https://www.sciencedirect.com/science/article/pii/S1053811918304476>`_]
"""
tnet, netinfo = utils.process_input(tnet, ['C', 'G', 'TN'])
D = temporal_degree_centrality(
tnet, calc='time', communities=communities, decay=decay)
# Check network output (order of communitiesworks)
network_ids = np.unique(communities)
communities_size = np.array([sum(communities == n) for n in network_ids])
sid = np.zeros([network_ids.max()+1, network_ids.max()+1, tnet.shape[-1]])
for n in network_ids:
for m in network_ids:
betweenmodulescaling = 1/(communities_size[n]*communities_size[m])
if netinfo['nettype'][1] == 'd':
withinmodulescaling = 1 / \
(communities_size[n]*communities_size[n])
elif netinfo['nettype'][1] == 'u':
withinmodulescaling = 2 / \
(communities_size[n]*(communities_size[n]-1))
if n == m:
betweenmodulescaling = withinmodulescaling
sid[n, m, :] = withinmodulescaling * \
D[n, n, :] - betweenmodulescaling * D[n, m, :]
# If nans emerge than there is no connection between networks at time point, so make these 0.
sid[np.isnan(sid)] = 0
if calc == 'global':
return np.sum(np.sum(sid, axis=1), axis=0)
elif calc == 'communities_avg':
return np.sum(sid, axis=axis)
else:
return sid | [
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"'TN'... | r"""
Segregation integration difference (SID). An estimation of each community or global difference of within versus between community strength.[sid-1]_
Parameters
----------
tnet: array, dict
Temporal network input (graphlet or contact). Allowerd nettype: 'bu', 'bd', 'wu', 'wd'
communities : array
a Nx1 vector or NxT array of community assignment.
axis : int
Dimension that is returned 0 or 1 (default 0).
Note, only relevant for directed networks.
i.e. if 0, node i has Aijt summed over j and t.
and if 1, node j has Aijt summed over i and t.
calc : str
'global' returns temporal degree centrality (a 1xnode vector) (default);
'community_pairs' returns a community x community x time matrix, which is the SID for each community pairing;
'community_avg' (returns a community x time matrix). Which is the normalized average of each community to all other communities.
decay: int
if calc = 'time', then decay is possible where the centrality of
the previous time point is carried over to the next time point but decays
at a value of $e^decay$ such that the temporal centrality measure becomes: $D_d(t+1) = e^{-decay}D_d(t) + D(t+1)$.
Returns
-------
sid: array
segregation-integration difference. Format: 2d or 3d numpy array (depending on calc) representing (community,community,time) or (community,time)
Notes
------
SID tries to quantify if there is more segergation or intgration compared to other time-points.
If SID > 0, then there is more segregation than usual. If SID < 0, then there is more integration than usual.
There are three different variants of SID, one is a global measure (calc='global'), the second is a value per community (calc='community_avg'),
the third is a value for each community-community pairing (calc='community_pairs').
First we calculate the temporal strength for each edge. This is calculate by
.. math:: S_{i,t} = \sum_j G_{i,j,t}
The pairwise SID, when the network is undirected, is calculated by
.. math:: SID_{A,B,t} = ({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_B}}) S_{A,B,t})
Where :math:`S_{A,t}` is the average temporal strength at time-point t for community A. :math:`N_A` is the number of nodes in community A.
When calculating the SID for a community, it is calculated byL
.. math:: SID_{A,t} = \sum_b^C({2 \over {N_A (N_A - 1)}}) S_{A,t} - ({{1} \over {N_A * N_b}}) S_{A,b,t})
Where C is the number of communities.
When calculating the SID globally, it is calculated byL
.. math:: SID_{t} = \sum_a^C\sum_b^C({2 \over {N_a (N_a - 1)}}) S_{A,t} - ({{1} \over {N_a * N_b}}) S_{a,b,t})
References
-----------
.. [sid-1] Fransson et al (2018) Brain network segregation and integration during an epoch-related working memory fMRI experiment. Neuroimage. 178. [`Link <https://www.sciencedirect.com/science/article/pii/S1053811918304476>`_] | [
"r"
] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/sid.py#L8-L111 | train | r Returns a sequence of arrays representing the segergation integration difference of each community assignment and each global assignment. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b100111 + 0o11) + '\157' + chr(0b10001 + 0o41) + chr(51) + chr(0b101111 + 0o5), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + chr(52) + chr(52), 0o10), nzTpIcepk0o8('\x30' + chr(10381 - 10270) + '\x31' + chr(1332 - 1278) + chr(0b110100), 0o10), nzTpIcepk0o8(chr(496 - 448) + chr(0b1101111) + '\062', 0b1000), nzTpIcepk0o8('\060' + chr(4195 - 4084) + chr(1312 - 1261) + '\062' + chr(0b11001 + 0o35), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\063' + '\062' + chr(895 - 847), 58783 - 58775), nzTpIcepk0o8(chr(605 - 557) + chr(655 - 544) + '\x35' + chr(1067 - 1012), 0o10), nzTpIcepk0o8('\x30' + chr(2507 - 2396) + chr(0b11101 + 0o25) + chr(52) + chr(0b101 + 0o55), ord("\x08")), nzTpIcepk0o8(chr(0b10111 + 0o31) + chr(6451 - 6340) + '\061' + '\x37' + '\062', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(0b101000 + 0o13) + chr(0b110101), 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + '\x6f' + chr(0b110011) + '\060' + chr(2121 - 2072), 0b1000), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\062' + chr(0b110100) + chr(2389 - 2335), 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111 + 0o0) + chr(51) + chr(0b100100 + 0o23) + chr(51), 16122 - 16114), nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110001) + '\061' + chr(0b100100 + 0o17), 6212 - 6204), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(50) + chr(2301 - 2246) + chr(710 - 656), 0o10), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\063' + chr(0b100000 + 0o23) + '\065', 0o10), nzTpIcepk0o8(chr(1906 - 1858) + '\157' + chr(2104 - 2054) + chr(81 - 31) + '\061', 1676 - 1668), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o5) + chr(49), ord("\x08")), nzTpIcepk0o8(chr(1915 - 1867) + chr(10883 - 10772) + chr(2216 - 2165) + chr(51) + chr(0b1101 + 0o46), 0b1000), nzTpIcepk0o8('\x30' + chr(7114 - 7003) + '\x33' + chr(0b10 + 0o62), 60646 - 60638), nzTpIcepk0o8(chr(0b10010 + 0o36) + '\157' + chr(888 - 838) + '\066' + chr(1810 - 1756), 31775 - 31767), nzTpIcepk0o8('\060' + chr(111) + chr(50) + chr(0b101111 + 0o6) + chr(53), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + chr(0b110011) + chr(0b11111 + 0o24), ord("\x08")), nzTpIcepk0o8('\x30' + chr(8024 - 7913) + chr(0b1111 + 0o42) + chr(0b11110 + 0o23) + '\x36', ord("\x08")), nzTpIcepk0o8(chr(1891 - 1843) + chr(0b111001 + 0o66) + chr(50) + '\x30' + '\065', 0o10), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(50) + chr(0b101000 + 0o16) + '\065', 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110101) + '\x30', 44738 - 44730), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b110001) + chr(0b1011 + 0o54) + '\065', 0b1000), nzTpIcepk0o8('\x30' + '\157' + '\x31' + chr(48) + '\065', 0o10), nzTpIcepk0o8('\060' + '\x6f' + chr(50) + '\065' + chr(400 - 345), 54660 - 54652), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110010) + chr(0b10010 + 0o42), 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(111) + chr(54) + '\066', 0o10), nzTpIcepk0o8(chr(0b10010 + 0o36) + '\157' + '\x35' + chr(50), 50975 - 50967), nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x30', 49565 - 49557), nzTpIcepk0o8('\060' + chr(0b100101 + 0o112) + chr(0b0 + 0o62) + chr(0b110000 + 0o5) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b100001 + 0o22) + chr(0b110111) + chr(55), 0b1000), nzTpIcepk0o8(chr(1742 - 1694) + chr(0b1101111) + chr(0b110011) + chr(2295 - 2247) + '\x33', ord("\x08")), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1101111) + chr(0b110001) + '\x35' + chr(0b101101 + 0o10), 2886 - 2878), nzTpIcepk0o8(chr(48) + chr(0b1010101 + 0o32) + chr(0b100000 + 0o21) + chr(0b110100) + chr(49), 0o10), nzTpIcepk0o8(chr(0b11100 + 0o24) + chr(111) + '\062' + chr(49) + '\x32', 0o10)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(0b100001 + 0o17) + '\157' + '\x35' + chr(48), 0o10)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xb2'), chr(100) + '\145' + '\143' + chr(3216 - 3105) + chr(100) + chr(0b1100101))('\165' + chr(0b10000 + 0o144) + chr(0b1010010 + 0o24) + chr(0b11010 + 0o23) + chr(2874 - 2818)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def bXIYhT1TDng8(sHR__4_c0Uoo, zoiuJtv6Z4HM, JD902pvyCLH1=nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b1101111) + chr(48), 8), hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xfb\x08\x1b`\xb7\xbc'), chr(0b1100100) + chr(6502 - 6401) + chr(0b101110 + 0o65) + chr(4584 - 4473) + '\144' + '\x65')('\x75' + '\164' + '\x66' + '\x2d' + chr(0b111000)), zYAN6XjDtf07=nzTpIcepk0o8('\x30' + chr(111) + chr(0b11011 + 0o25), 8)):
(sHR__4_c0Uoo, CHqJ5ht8kzQa) = yees6wiSqIcB.process_input(sHR__4_c0Uoo, [roI3spqORKae(ES5oEprVxulp(b'\xdf'), chr(0b11101 + 0o107) + chr(6452 - 6351) + chr(0b1100011) + chr(12207 - 12096) + '\144' + '\x65')(chr(0b1010101 + 0o40) + '\164' + chr(0b111111 + 0o47) + chr(1120 - 1075) + '\x38'), roI3spqORKae(ES5oEprVxulp(b'\xdb'), '\x64' + chr(101) + chr(99) + '\x6f' + chr(0b111100 + 0o50) + chr(0b101001 + 0o74))(chr(12963 - 12846) + '\x74' + '\146' + chr(45) + chr(0b111000)), roI3spqORKae(ES5oEprVxulp(b'\xc8*'), '\144' + chr(0b11111 + 0o106) + chr(5180 - 5081) + chr(7568 - 7457) + chr(0b1100100) + chr(101))('\x75' + '\164' + chr(102) + chr(0b101101) + chr(0b10011 + 0o45))])
hOjrMKpaybfC = dn6vV4i_m5pW(sHR__4_c0Uoo, calc=roI3spqORKae(ES5oEprVxulp(b'\xe8\r\x19g'), '\x64' + chr(101) + chr(99) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(1478 - 1361) + chr(0b1110100) + chr(102) + chr(45) + chr(0b10 + 0o66)), communities=zoiuJtv6Z4HM, decay=zYAN6XjDtf07)
dlmFnvfyGbb3 = nDF4gVNx0u9Q.G3de2eWQaS0D(zoiuJtv6Z4HM)
Dgx5qWVp1u9o = nDF4gVNx0u9Q.Tn6rGr7XTM7t([oclC8DLjA_lV(zoiuJtv6Z4HM == NoZxuO7wjArS) for NoZxuO7wjArS in dlmFnvfyGbb3])
bXIYhT1TDng8 = nDF4gVNx0u9Q.UmwwEp7MzR6q([dlmFnvfyGbb3.KV9ckIhroIia() + nzTpIcepk0o8('\060' + '\157' + '\061', 21124 - 21116), dlmFnvfyGbb3.KV9ckIhroIia() + nzTpIcepk0o8(chr(563 - 515) + chr(2737 - 2626) + chr(0b110001 + 0o0), 8), sHR__4_c0Uoo.lhbM092AFW8f[-nzTpIcepk0o8(chr(743 - 695) + chr(111) + '\x31', 8)]])
for NoZxuO7wjArS in dlmFnvfyGbb3:
for tF75nqoNENFL in dlmFnvfyGbb3:
QtYQOi22XJ0Z = nzTpIcepk0o8(chr(0b10111 + 0o31) + '\x6f' + chr(49), 8) / (Dgx5qWVp1u9o[NoZxuO7wjArS] * Dgx5qWVp1u9o[tF75nqoNENFL])
if CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\xf2\x01\x00v\xaf\xa0J'), '\x64' + '\145' + chr(99) + chr(8721 - 8610) + chr(0b1000010 + 0o42) + chr(0b1100101))(chr(7536 - 7419) + '\x74' + chr(680 - 578) + chr(45) + chr(1480 - 1424))][nzTpIcepk0o8('\x30' + chr(0b11010 + 0o125) + chr(518 - 469), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xf8'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(1904 - 1803))(chr(0b1111 + 0o146) + chr(0b11101 + 0o127) + '\x66' + chr(45) + '\070'):
Vyx_TI6w7iOt = nzTpIcepk0o8(chr(48) + chr(0b1010011 + 0o34) + chr(513 - 464), 8) / (Dgx5qWVp1u9o[NoZxuO7wjArS] * Dgx5qWVp1u9o[NoZxuO7wjArS])
elif CHqJ5ht8kzQa[roI3spqORKae(ES5oEprVxulp(b'\xf2\x01\x00v\xaf\xa0J'), chr(8932 - 8832) + chr(101) + chr(0b110000 + 0o63) + chr(111) + chr(0b101000 + 0o74) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(998 - 953) + '\070')][nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(7596 - 7485) + chr(0b101011 + 0o6), 8)] == roI3spqORKae(ES5oEprVxulp(b'\xe9'), chr(100) + chr(101) + chr(0b110111 + 0o54) + '\x6f' + chr(0b1100100) + chr(0b1011100 + 0o11))(chr(9549 - 9432) + chr(1074 - 958) + '\146' + chr(0b101101) + chr(0b111000)):
Vyx_TI6w7iOt = nzTpIcepk0o8('\060' + chr(0b1101111) + chr(729 - 679), 8) / (Dgx5qWVp1u9o[NoZxuO7wjArS] * (Dgx5qWVp1u9o[NoZxuO7wjArS] - nzTpIcepk0o8('\x30' + chr(0b1100 + 0o143) + chr(0b110001), 8)))
if NoZxuO7wjArS == tF75nqoNENFL:
QtYQOi22XJ0Z = Vyx_TI6w7iOt
bXIYhT1TDng8[NoZxuO7wjArS, tF75nqoNENFL, :] = Vyx_TI6w7iOt * hOjrMKpaybfC[NoZxuO7wjArS, NoZxuO7wjArS, :] - QtYQOi22XJ0Z * hOjrMKpaybfC[NoZxuO7wjArS, tF75nqoNENFL, :]
bXIYhT1TDng8[nDF4gVNx0u9Q.w1q0TwtATQ6X(bXIYhT1TDng8)] = nzTpIcepk0o8('\060' + '\x6f' + chr(0b110000), 8)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xfb\x08\x1b`\xb7\xbc'), '\x64' + chr(9437 - 9336) + chr(6285 - 6186) + '\157' + '\x64' + '\x65')(chr(0b110111 + 0o76) + chr(0b1010000 + 0o44) + chr(102) + chr(0b101101) + chr(56)):
return roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xf3\x07\x18A\xee\x94c\xc8;\xc2\xad\xf0'), chr(8672 - 8572) + chr(0b1100101) + chr(0b1000 + 0o133) + chr(0b1001 + 0o146) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b10101 + 0o121) + chr(0b10110 + 0o27) + chr(0b111000)))(roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xf3\x07\x18A\xee\x94c\xc8;\xc2\xad\xf0'), chr(0b1011001 + 0o13) + chr(9253 - 9152) + '\143' + '\x6f' + chr(0b11101 + 0o107) + chr(6418 - 6317))('\165' + '\x74' + '\146' + '\x2d' + chr(56)))(bXIYhT1TDng8, axis=nzTpIcepk0o8(chr(0b110000) + chr(0b1000111 + 0o50) + chr(0b110001), 8)), axis=nzTpIcepk0o8('\060' + chr(111) + '\060', 8))
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xff\x0b\x19o\xa3\xbeF\xd6\x13\xf8\xb2\xf9\x9a=\xd9'), chr(100) + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + chr(116) + chr(2924 - 2822) + chr(0b100100 + 0o11) + chr(419 - 363)):
return roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xf3\x07\x18A\xee\x94c\xc8;\xc2\xad\xf0'), chr(100) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(9767 - 9666))(chr(0b110001 + 0o104) + chr(116) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b1101 + 0o53)))(bXIYhT1TDng8, axis=JD902pvyCLH1)
else:
return bXIYhT1TDng8 |
wiheto/teneto | teneto/networkmeasures/bursty_coeff.py | bursty_coeff | def bursty_coeff(data, calc='edge', nodes='all', communities=None, threshold_type=None, threshold_level=None, threshold_params=None):
r"""
Calculates the bursty coefficient.[1][2]
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
A weighted network can be applied if you specify threshold_type and threshold_value which will make it binary.
calc : str
Caclulate the bursty coeff over what. Options include 'edge': calculate B on all ICTs between node i and j. (Default); 'node': caclulate B on all ICTs connected to node i.;
'communities': calculate B for each communities (argument communities then required);
'meanEdgePerNode': first calculate the ICTs between node i and j, then take the mean over all j.
nodes: list or str
Options: 'all': do for all nodes (default) or list of node indexes to calculate.
communities : array, optional
None (default) or Nx1 vector of communities assignment. This returns a "centrality" per communities instead of per node.
threshold_type : str, optional
If input is weighted. Specify binarizing threshold type. See teneto.utils.binarize
threshold_level : str, optional
If input is weighted. Specify binarizing threshold level. See teneto.utils.binarize
threhsold_params : dict
If input is weighted. Dictionawy with kwargs for teneto.utils.binarize
Returns
-------
B : array
Bursty coefficienct per (edge or node measure).
Notes
------
The burstiness coefficent, B, is defined in refs [1,2] as:
.. math:: B = {{\sigma_{ICT} - \mu_{ICT}} \over {\sigma_{ICT} + \mu_{ICT}}}
Where :math:`\sigma_{ICT}` and :math:`\mu_{ICT}` are the standard deviation and mean of the inter-contact times respectively (see teneto.networkmeasures.intercontacttimes)
When B > 0, indicates bursty intercontact times. When B < 0, indicates periodic/tonic intercontact times. When B = 0, indicates random.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
The two networks look like this:
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
G_bursty = np.zeros([2, 2, 60])
G_bursty[:,:,ts_bursty] = 1
G_periodic = np.zeros([2, 2, 60])
ts_periodic = np.arange(0, 60, 2)
G_periodic[:,:,ts_periodic] = 1
fig,ax = plt.subplots(2, 1, figsize=(10,3))
teneto.plot.slice_plot(G_bursty, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
teneto.plot.slice_plot(G_periodic, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
ax[0].set_title('G_bursty')
ax[1].set_title('G_periodic')
ax[0].set_ylim([-0.25,1.25])
ax[1].set_ylim([-0.25,1.25])
ax[0].set_xticklabels([])
ax[1].set_xticklabels([])
plt.tight_layout()
fig.show()
Now we call bursty_coeff.
>>> B_periodic = teneto.networkmeasures.bursty_coeff(G_periodic)
>>> B_periodic
array([[nan, -1.],
[-1., nan]])
Above we can see that between node 0 and 1, B=-1 (the diagonal is nan).
Doing the same for the second example:
>>> B_bursty = teneto.networkmeasures.bursty_coeff(G_bursty)
>>> B_bursty
array([[ nan, 0.13311003],
[0.13311003, nan]])
gives a positive value, indicating the inter-contact times between node 0 and 1 is bursty.
References
----------
.. [1] Goh, KI & Barabasi, AL (2008) Burstiness and Memory in Complex Systems. EPL (Europhysics Letters), 81: 4 [`Link <https://arxiv.org/pdf/physics/0610233.pdf>`_]
.. [2] Holme, P & Saramäki J (2012) Temporal networks. Physics Reports. 519: 3. [`Link <https://arxiv.org/pdf/1108.1780.pdf>`_] (Discrete formulation used here)
"""
if threshold_type is not None:
if threshold_params is None:
threshold_params = {}
data = binarize(data, threshold_type,
threshold_level, **threshold_params)
if calc == 'communities' and communities is None:
raise ValueError(
"Specified calc='communities' but no communities argument provided (list of clusters/modules)")
ict = 0 # are ict present
if isinstance(data, dict):
# This could be done better
if [k for k in list(data.keys()) if k == 'intercontacttimes'] == ['intercontacttimes']:
ict = 1
# if shortest paths are not calculated, calculate them
if ict == 0:
data = intercontacttimes(data)
ict_shape = data['intercontacttimes'].shape
if len(ict_shape) == 2:
node_len = ict_shape[0] * ict_shape[1]
elif len(ict_shape) == 1:
node_len = 1
else:
raise ValueError('more than two dimensions of intercontacttimes')
if isinstance(nodes, list) and len(ict_shape) > 1:
node_combinations = [[list(set(nodes))[t], list(set(nodes))[tt]] for t in range(
0, len(nodes)) for tt in range(0, len(nodes)) if t != tt]
do_nodes = [np.ravel_multi_index(n, ict_shape)
for n in node_combinations]
else:
do_nodes = np.arange(0, node_len)
# Reshae ICTs
if calc == 'node':
ict = np.concatenate(data['intercontacttimes']
[do_nodes, do_nodes], axis=1)
elif calc == 'communities':
unique_communities = np.unique(communities)
ict_shape = (len(unique_communities), len(unique_communities))
ict = np.array([[None] * ict_shape[0]] * ict_shape[1])
for i, s1 in enumerate(unique_communities):
for j, s2 in enumerate(unique_communities):
if s1 == s2:
ind = np.triu_indices(sum(communities == s1), k=1)
ict[i, j] = np.concatenate(
data['intercontacttimes'][ind[0], ind[1]])
else:
ict[i, j] = np.concatenate(np.concatenate(
data['intercontacttimes'][communities == s1, :][:, communities == s2]))
# Quick fix, but could be better
data['intercontacttimes'] = ict
do_nodes = np.arange(0, ict_shape[0]*ict_shape[1])
if len(ict_shape) > 1:
ict = data['intercontacttimes'].reshape(ict_shape[0] * ict_shape[1])
b_coeff = np.zeros(len(ict)) * np.nan
else:
b_coeff = np.zeros(1) * np.nan
ict = [data['intercontacttimes']]
for i in do_nodes:
if isinstance(ict[i], np.ndarray):
mu_ict = np.mean(ict[i])
sigma_ict = np.std(ict[i])
b_coeff[i] = (sigma_ict - mu_ict) / (sigma_ict + mu_ict)
else:
b_coeff[i] = np.nan
if len(ict_shape) > 1:
b_coeff = b_coeff.reshape(ict_shape)
return b_coeff | python | def bursty_coeff(data, calc='edge', nodes='all', communities=None, threshold_type=None, threshold_level=None, threshold_params=None):
r"""
Calculates the bursty coefficient.[1][2]
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
A weighted network can be applied if you specify threshold_type and threshold_value which will make it binary.
calc : str
Caclulate the bursty coeff over what. Options include 'edge': calculate B on all ICTs between node i and j. (Default); 'node': caclulate B on all ICTs connected to node i.;
'communities': calculate B for each communities (argument communities then required);
'meanEdgePerNode': first calculate the ICTs between node i and j, then take the mean over all j.
nodes: list or str
Options: 'all': do for all nodes (default) or list of node indexes to calculate.
communities : array, optional
None (default) or Nx1 vector of communities assignment. This returns a "centrality" per communities instead of per node.
threshold_type : str, optional
If input is weighted. Specify binarizing threshold type. See teneto.utils.binarize
threshold_level : str, optional
If input is weighted. Specify binarizing threshold level. See teneto.utils.binarize
threhsold_params : dict
If input is weighted. Dictionawy with kwargs for teneto.utils.binarize
Returns
-------
B : array
Bursty coefficienct per (edge or node measure).
Notes
------
The burstiness coefficent, B, is defined in refs [1,2] as:
.. math:: B = {{\sigma_{ICT} - \mu_{ICT}} \over {\sigma_{ICT} + \mu_{ICT}}}
Where :math:`\sigma_{ICT}` and :math:`\mu_{ICT}` are the standard deviation and mean of the inter-contact times respectively (see teneto.networkmeasures.intercontacttimes)
When B > 0, indicates bursty intercontact times. When B < 0, indicates periodic/tonic intercontact times. When B = 0, indicates random.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
The two networks look like this:
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
G_bursty = np.zeros([2, 2, 60])
G_bursty[:,:,ts_bursty] = 1
G_periodic = np.zeros([2, 2, 60])
ts_periodic = np.arange(0, 60, 2)
G_periodic[:,:,ts_periodic] = 1
fig,ax = plt.subplots(2, 1, figsize=(10,3))
teneto.plot.slice_plot(G_bursty, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
teneto.plot.slice_plot(G_periodic, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
ax[0].set_title('G_bursty')
ax[1].set_title('G_periodic')
ax[0].set_ylim([-0.25,1.25])
ax[1].set_ylim([-0.25,1.25])
ax[0].set_xticklabels([])
ax[1].set_xticklabels([])
plt.tight_layout()
fig.show()
Now we call bursty_coeff.
>>> B_periodic = teneto.networkmeasures.bursty_coeff(G_periodic)
>>> B_periodic
array([[nan, -1.],
[-1., nan]])
Above we can see that between node 0 and 1, B=-1 (the diagonal is nan).
Doing the same for the second example:
>>> B_bursty = teneto.networkmeasures.bursty_coeff(G_bursty)
>>> B_bursty
array([[ nan, 0.13311003],
[0.13311003, nan]])
gives a positive value, indicating the inter-contact times between node 0 and 1 is bursty.
References
----------
.. [1] Goh, KI & Barabasi, AL (2008) Burstiness and Memory in Complex Systems. EPL (Europhysics Letters), 81: 4 [`Link <https://arxiv.org/pdf/physics/0610233.pdf>`_]
.. [2] Holme, P & Saramäki J (2012) Temporal networks. Physics Reports. 519: 3. [`Link <https://arxiv.org/pdf/1108.1780.pdf>`_] (Discrete formulation used here)
"""
if threshold_type is not None:
if threshold_params is None:
threshold_params = {}
data = binarize(data, threshold_type,
threshold_level, **threshold_params)
if calc == 'communities' and communities is None:
raise ValueError(
"Specified calc='communities' but no communities argument provided (list of clusters/modules)")
ict = 0 # are ict present
if isinstance(data, dict):
# This could be done better
if [k for k in list(data.keys()) if k == 'intercontacttimes'] == ['intercontacttimes']:
ict = 1
# if shortest paths are not calculated, calculate them
if ict == 0:
data = intercontacttimes(data)
ict_shape = data['intercontacttimes'].shape
if len(ict_shape) == 2:
node_len = ict_shape[0] * ict_shape[1]
elif len(ict_shape) == 1:
node_len = 1
else:
raise ValueError('more than two dimensions of intercontacttimes')
if isinstance(nodes, list) and len(ict_shape) > 1:
node_combinations = [[list(set(nodes))[t], list(set(nodes))[tt]] for t in range(
0, len(nodes)) for tt in range(0, len(nodes)) if t != tt]
do_nodes = [np.ravel_multi_index(n, ict_shape)
for n in node_combinations]
else:
do_nodes = np.arange(0, node_len)
# Reshae ICTs
if calc == 'node':
ict = np.concatenate(data['intercontacttimes']
[do_nodes, do_nodes], axis=1)
elif calc == 'communities':
unique_communities = np.unique(communities)
ict_shape = (len(unique_communities), len(unique_communities))
ict = np.array([[None] * ict_shape[0]] * ict_shape[1])
for i, s1 in enumerate(unique_communities):
for j, s2 in enumerate(unique_communities):
if s1 == s2:
ind = np.triu_indices(sum(communities == s1), k=1)
ict[i, j] = np.concatenate(
data['intercontacttimes'][ind[0], ind[1]])
else:
ict[i, j] = np.concatenate(np.concatenate(
data['intercontacttimes'][communities == s1, :][:, communities == s2]))
# Quick fix, but could be better
data['intercontacttimes'] = ict
do_nodes = np.arange(0, ict_shape[0]*ict_shape[1])
if len(ict_shape) > 1:
ict = data['intercontacttimes'].reshape(ict_shape[0] * ict_shape[1])
b_coeff = np.zeros(len(ict)) * np.nan
else:
b_coeff = np.zeros(1) * np.nan
ict = [data['intercontacttimes']]
for i in do_nodes:
if isinstance(ict[i], np.ndarray):
mu_ict = np.mean(ict[i])
sigma_ict = np.std(ict[i])
b_coeff[i] = (sigma_ict - mu_ict) / (sigma_ict + mu_ict)
else:
b_coeff[i] = np.nan
if len(ict_shape) > 1:
b_coeff = b_coeff.reshape(ict_shape)
return b_coeff | [
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"t... | r"""
Calculates the bursty coefficient.[1][2]
Parameters
----------
data : array, dict
This is either (1) temporal network input (graphlet or contact) with nettype: 'bu', 'bd'. (2) dictionary of ICTs (output of *intercontacttimes*).
A weighted network can be applied if you specify threshold_type and threshold_value which will make it binary.
calc : str
Caclulate the bursty coeff over what. Options include 'edge': calculate B on all ICTs between node i and j. (Default); 'node': caclulate B on all ICTs connected to node i.;
'communities': calculate B for each communities (argument communities then required);
'meanEdgePerNode': first calculate the ICTs between node i and j, then take the mean over all j.
nodes: list or str
Options: 'all': do for all nodes (default) or list of node indexes to calculate.
communities : array, optional
None (default) or Nx1 vector of communities assignment. This returns a "centrality" per communities instead of per node.
threshold_type : str, optional
If input is weighted. Specify binarizing threshold type. See teneto.utils.binarize
threshold_level : str, optional
If input is weighted. Specify binarizing threshold level. See teneto.utils.binarize
threhsold_params : dict
If input is weighted. Dictionawy with kwargs for teneto.utils.binarize
Returns
-------
B : array
Bursty coefficienct per (edge or node measure).
Notes
------
The burstiness coefficent, B, is defined in refs [1,2] as:
.. math:: B = {{\sigma_{ICT} - \mu_{ICT}} \over {\sigma_{ICT} + \mu_{ICT}}}
Where :math:`\sigma_{ICT}` and :math:`\mu_{ICT}` are the standard deviation and mean of the inter-contact times respectively (see teneto.networkmeasures.intercontacttimes)
When B > 0, indicates bursty intercontact times. When B < 0, indicates periodic/tonic intercontact times. When B = 0, indicates random.
Examples
---------
First import all necessary packages
>>> import teneto
>>> import numpy as np
Now create 2 temporal network of 2 nodes and 60 time points. The first has periodict edges, repeating every other time-point:
>>> G_periodic = np.zeros([2, 2, 60])
>>> ts_periodic = np.arange(0, 60, 2)
>>> G_periodic[:,:,ts_periodic] = 1
The second has a more bursty pattern of edges:
>>> ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
>>> G_bursty = np.zeros([2, 2, 60])
>>> G_bursty[:,:,ts_bursty] = 1
The two networks look like this:
.. plot::
import numpy as np
import teneto
import matplotlib.pyplot as plt
ts_bursty = [1, 8, 9, 32, 33, 34, 39, 40, 50, 51, 52, 55]
G_bursty = np.zeros([2, 2, 60])
G_bursty[:,:,ts_bursty] = 1
G_periodic = np.zeros([2, 2, 60])
ts_periodic = np.arange(0, 60, 2)
G_periodic[:,:,ts_periodic] = 1
fig,ax = plt.subplots(2, 1, figsize=(10,3))
teneto.plot.slice_plot(G_bursty, ax[0], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
teneto.plot.slice_plot(G_periodic, ax[1], cmap='Pastel2', nodesize=20, nLabs=['0', '1'])
ax[0].set_title('G_bursty')
ax[1].set_title('G_periodic')
ax[0].set_ylim([-0.25,1.25])
ax[1].set_ylim([-0.25,1.25])
ax[0].set_xticklabels([])
ax[1].set_xticklabels([])
plt.tight_layout()
fig.show()
Now we call bursty_coeff.
>>> B_periodic = teneto.networkmeasures.bursty_coeff(G_periodic)
>>> B_periodic
array([[nan, -1.],
[-1., nan]])
Above we can see that between node 0 and 1, B=-1 (the diagonal is nan).
Doing the same for the second example:
>>> B_bursty = teneto.networkmeasures.bursty_coeff(G_bursty)
>>> B_bursty
array([[ nan, 0.13311003],
[0.13311003, nan]])
gives a positive value, indicating the inter-contact times between node 0 and 1 is bursty.
References
----------
.. [1] Goh, KI & Barabasi, AL (2008) Burstiness and Memory in Complex Systems. EPL (Europhysics Letters), 81: 4 [`Link <https://arxiv.org/pdf/physics/0610233.pdf>`_]
.. [2] Holme, P & Saramäki J (2012) Temporal networks. Physics Reports. 519: 3. [`Link <https://arxiv.org/pdf/1108.1780.pdf>`_] (Discrete formulation used here) | [
"r",
"Calculates",
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"coefficient",
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] | 80d7a83a9adc1714589b020627c45bd5b66248ab | https://github.com/wiheto/teneto/blob/80d7a83a9adc1714589b020627c45bd5b66248ab/teneto/networkmeasures/bursty_coeff.py#L10-L204 | train | r Calculates the bursty coefficient of a graphlet or contact. | GiP5xwVCF98Z,B3LV8Eo811Ma,bIsJhlpYrrU2,UtiWT6f6p9yZ,sY2ClS3bs_Vs,cXy7eDEmqBLX,WBIJpxagI_Bm,oiYQtqKByLVy,pKtZbyLPTF7M,N5KuUvtbiyqB,Y8CO_HpFZe1H,lFpHwHL3xiEO,QT_5wdIFQ3WX,gn988v5t9NEf,dVZxwLTOCtbO,RjQP07DYIdkf,Wun5u3i1rn23,m64e4RQAlmFd,zfo2Sgkz3IVJ,aWb0eXvJHTT7,s2y8nAB4S7UF,znAfcqx_89tO,ZnHlCcECsuOK,TdYHRT1SBW60,mBmBrDJUSN6g,Awc2QmWaiVq8,fPFTJxVnGShv,Kqv3Zaj1M9P0,uKsHT175xV8E,ah0DLMBSEU5j,EsFcqWRT9elq,d9st0HqZDng1,knUxyjfq07F9,Fc8q2OvvlH7d,KSw3AkHkJy1a,JD7LadPikpPw,VwkB9reRDydR,aHxuT4bIDdeg,Qn0k4xGfJpuL,NfwEQ1VKf5DV,WdoB9EK8ABTr,Y1otPTwLRJvi,zsedrPqY_EmW,CJFGX4uBWMak,DB9Ra8FNEf7o,DHq8A6v2Wg4n,Migy1gLCcYvQ,IAGRfZDRyjN_,ze1AhR_jfpze,ej204HIOxzoZ,_1qUu0gKi9gH,Wa8JM2k53wi5,aFaxROHyT7UJ,ZOdpVDJPWn4I,LqOf4dRsAg72,K3alqetBMgas,ZtIuyIq3ta7g,UIHY5MV5X5uS,C60ELahXqfKV,FB4_7GjVy3pW,wXIYU_4UfQFa,jZIjKu8IFANs,REazVyvp6OIp,pZy5DBJ8WJod,aP29ipGsOVzf,YikXQdxs3VoO,UBvEeZympYSz,mRTjFWUmjlQA,QhZRiM1qvaW7,WbNHlDKpyPtQ,z18h6aCn31dg,oxjHmqoBrCHG,GA4ANb_Tki5v,LdFlJR2ssk3y,gCu7Qd75URN1,yfEeqQiUoqWT,zGgTE_CdZfvi,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2,zQBGwUT7UU8L,DvlSWc3qeAuL,qX60lO1lgHA5,ZQUt7vS8_3kI,VF4pKOObtlPc,D6JeCyjJUA8O,fBqfYi7uj_uC,TVUhqOt5_BbS,WtdkIpFeYozM,MdkNqd1bagO6,QNQS9e6tJqMV,typojWN5Phrq,gufQJgTAhMnI,uPAcezIXzQNA,i739myaCTbWD,AtYHTsImz86v,pWZq9QOaZbhU,lI5UiuqoXdKZ,qZ4DivK_Doaa,znjnJWK64FDT,iJbw0iNQ06Xw,Jq33HEV_XqZE,_kV_Bomx8PZ4,Z5xOfqIptFuc,_9cznYtBZk6k,ZurjcUL1ssA8,qEahrGEDF7Tq,jLW6pRf2DSRk,q33KG3foQ_CJ,PNaRkv8AjHWU,roI3spqORKae,CFUos7dinCa7,dRKdVnHPFq7C,dMJNtLk2mncQ,Mq8h41ilRngb,vgO67Nkl7Kt9,maLnLg8O5zPT,QnTXOd5N96r1,nzTpIcepk0o8,suIjIS24Zkqw,CmsH_0IVxIiZ,b8MSkfijeeBr,ftfygxgFas5X,xM0vTMWcJQBa,H4NoA26ON7iG,y0cCpS6dh4OT,VVP82lOIz6CD,KV9ckIhroIia,D2M3XQk26HKr,XURpmPuEWCNF,ltB3XhPy2rYf,mxgO6GAb3Xup,llEg6op6Lr8F,DnU3Rq9N5ala,RmKXV0QRcrJP,JEroPXRTriYU,v8jsMqaYV6U2,X1QyyvXSAOQt,PWTqT_PKIfuW,bbT2xIe5pzk7,VWshwTzZfwvC,DoS4vLAglV8A,sOS7b2Ofrbne,Bvi71nNyvlqO,lCf1uzpaIUMv,nDEnDEV3Lc5Z,V3OlOVg98A85,WsP3Nc3n6e0b,N9zlRy29S1SS,oclC8DLjA_lV,CO2YiXoIEhJY,nfNqtJL5aRaY,MJ07XsN5uFgW,cL4sFo6RhVJa,TxMFWa_Xzviv,bpTSxj4JFQ8o,zL_YcxPEZPhm,yfEeqQiUoqWT,OHWDi_URd_WF,NKGkaWkPPkT2,AYtDRlqeP0tq,vQqJeSQfHM0X,FUdwyfT9sfj2=ArithmeticError,AssertionError,AttributeError,BaseException,BlockingIOError,BrokenPipeError,BufferError,BytesWarning,ChildProcessError,ConnectionAbortedError,ConnectionError,ConnectionRefusedError,ConnectionResetError,DeprecationWarning,EOFError,Ellipsis,EncodingWarning,EnvironmentError,Exception,False,FileExistsError,FileNotFoundError,FloatingPointError,FutureWarning,GeneratorExit,IOError,ImportError,ImportWarning,IndentationError,IndexError,InterruptedError,IsADirectoryError,KeyError,KeyboardInterrupt,LookupError,MemoryError,ModuleNotFoundError,NameError,None,NotADirectoryError,NotImplemented,NotImplementedError,OSError,OverflowError,PendingDeprecationWarning,PermissionError,ProcessLookupError,RecursionError,ReferenceError,ResourceWarning,RuntimeError,RuntimeWarning,StopAsyncIteration,StopIteration,SyntaxError,SyntaxWarning,SystemError,SystemExit,TabError,TimeoutError,True,TypeError,UnboundLocalError,UnicodeDecodeError,UnicodeEncodeError,UnicodeError,UnicodeTranslateError,UnicodeWarning,UserWarning,ValueError,Warning,WindowsError,ZeroDivisionError,__build_class__,__debug__,__doc__,__import__,__loader__,__name__,__package__,__spec__,abs,aiter,all,anext,any,ascii,bin,bool,breakpoint,bytearray,bytes,callable,chr,classmethod,compile,complex,copyright,credits,delattr,dict,dir,divmod,enumerate,eval,exec,exit,filter,float,format,frozenset,getattr,globals,hasattr,hash,help,hex,id,input,int,isinstance,issubclass,iter,len,license,list,locals,map,max,memoryview,min,next,object,oct,open,ord,pow,print,property,quit,range,repr,reversed,round,set,setattr,slice,sorted,staticmethod,str,sum,super,tuple,type,vars,zip,__builtins__,__cached__,__doc__,__file__,__loader__,__name__,__package__,__spec__
ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8(chr(0b10 + 0o56) + '\157' + chr(0b110010) + '\067' + chr(465 - 415), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(111) + '\x33' + chr(48) + '\066', 0b1000), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1580 - 1526) + chr(0b100111 + 0o13), 28041 - 28033), nzTpIcepk0o8(chr(0b110000) + chr(2831 - 2720) + chr(0b10001 + 0o40) + chr(700 - 646) + chr(50), 8), nzTpIcepk0o8('\x30' + '\157' + chr(0b1 + 0o62) + '\x31' + '\064', 14017 - 14009), nzTpIcepk0o8(chr(0b110000) + chr(488 - 377) + chr(314 - 265) + chr(0b110011) + '\x36', 0o10), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b1110 + 0o43) + chr(52) + chr(0b110101), ord("\x08")), nzTpIcepk0o8('\060' + chr(111) + '\062' + chr(0b1001 + 0o55) + chr(49), 0o10), nzTpIcepk0o8('\x30' + '\x6f' + chr(0b110001) + '\063', 0o10), nzTpIcepk0o8('\x30' + chr(4315 - 4204) + '\063' + '\062' + chr(0b1100 + 0o45), 0o10), nzTpIcepk0o8(chr(1476 - 1428) + chr(0b1101111) + chr(0b100100 + 0o16) + chr(0b110000) + chr(1980 - 1929), ord("\x08")), nzTpIcepk0o8('\x30' + chr(111) + '\x31' + '\066' + chr(52), 0o10), nzTpIcepk0o8('\060' + '\157' + chr(0b11110 + 0o24) + chr(0b110011) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(786 - 738) + '\157' + chr(50) + '\x35' + '\063', 0o10), nzTpIcepk0o8(chr(177 - 129) + chr(0b1101111) + chr(593 - 538) + chr(0b110110), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1101111) + '\061' + chr(0b10101 + 0o34) + '\x31', 0b1000), nzTpIcepk0o8(chr(0b100100 + 0o14) + chr(0b1101111) + chr(351 - 299) + '\x37', 52513 - 52505), nzTpIcepk0o8('\060' + chr(0b1101111) + chr(0b11100 + 0o25) + chr(799 - 747) + '\065', 8), nzTpIcepk0o8('\x30' + chr(10867 - 10756) + chr(0b110010) + chr(1899 - 1850) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(12103 - 11992) + chr(0b110011 + 0o0) + chr(0b110010) + '\x35', 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(0b11110 + 0o25) + '\065' + '\062', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(0b1100001 + 0o16) + '\x31' + chr(0b11001 + 0o35), ord("\x08")), nzTpIcepk0o8(chr(993 - 945) + chr(111) + chr(643 - 593) + chr(981 - 927) + chr(49), 8), nzTpIcepk0o8('\060' + '\157' + chr(0b11110 + 0o25) + chr(55) + '\x37', 53224 - 53216), nzTpIcepk0o8('\x30' + chr(9424 - 9313) + chr(51) + chr(0b11111 + 0o24) + '\x36', 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b1011000 + 0o27) + '\062' + chr(55) + chr(860 - 809), 20289 - 20281), nzTpIcepk0o8(chr(48) + chr(0b111000 + 0o67) + chr(1859 - 1808) + '\064' + chr(1662 - 1611), ord("\x08")), nzTpIcepk0o8('\060' + chr(0b1011010 + 0o25) + chr(0b100110 + 0o13) + chr(1512 - 1458) + chr(2680 - 2626), ord("\x08")), nzTpIcepk0o8(chr(0b1111 + 0o41) + chr(0b1001011 + 0o44) + '\063' + '\x37' + chr(51), ord("\x08")), nzTpIcepk0o8(chr(48) + '\157' + '\x31' + chr(52) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + '\063' + chr(54) + chr(53), 0o10), nzTpIcepk0o8(chr(0b100000 + 0o20) + chr(0b11000 + 0o127) + chr(1263 - 1214) + '\x35' + chr(1514 - 1464), 0b1000), nzTpIcepk0o8(chr(167 - 119) + chr(744 - 633) + chr(0b10011 + 0o40) + chr(1235 - 1185) + chr(0b100 + 0o57), ord("\x08")), nzTpIcepk0o8(chr(0b1000 + 0o50) + '\157' + chr(0b11101 + 0o25) + chr(0b11000 + 0o31) + chr(2137 - 2088), 20200 - 20192), nzTpIcepk0o8(chr(0b100010 + 0o16) + chr(0b1101001 + 0o6) + chr(50) + chr(361 - 311) + chr(0b110100), 0b1000), nzTpIcepk0o8(chr(0b100001 + 0o17) + chr(0b1101111) + '\x31' + chr(0b110010 + 0o2), ord("\x08")), nzTpIcepk0o8(chr(48) + chr(0b110110 + 0o71) + chr(51) + chr(194 - 144) + chr(0b100010 + 0o22), ord("\x08")), nzTpIcepk0o8(chr(1744 - 1696) + chr(111) + '\061' + chr(0b100100 + 0o23) + chr(50), 51632 - 51624), nzTpIcepk0o8('\x30' + chr(0b11110 + 0o121) + chr(50) + '\x31', 16990 - 16982), nzTpIcepk0o8(chr(526 - 478) + chr(0b110001 + 0o76) + chr(0b110010) + chr(0b110011) + '\x31', 0b1000)][ZlbFMSG8gCoF % nzTpIcepk0o8('\x30' + chr(0b1101111) + '\x35' + '\060', 0b1000)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\x94'), '\144' + chr(101) + chr(6591 - 6492) + chr(11201 - 11090) + chr(893 - 793) + chr(101))('\x75' + '\164' + '\x66' + '\055' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def Izw0RNks9An7(FfKOThdpoDTb, hLs7grTEJvDJ=roI3spqORKae(ES5oEprVxulp(b'\xdf\xa2\x15\x17'), chr(4492 - 4392) + chr(730 - 629) + chr(7332 - 7233) + chr(0b1000001 + 0o56) + chr(0b1100100) + chr(0b1100101))(chr(10945 - 10828) + chr(0b10011 + 0o141) + chr(0b1100110) + '\055' + chr(0b11100 + 0o34)), B4QyIILDjNeo=roI3spqORKae(ES5oEprVxulp(b'\xdb\xaa\x1e'), '\x64' + chr(101) + chr(0b110001 + 0o62) + chr(2092 - 1981) + chr(100) + chr(0b1101 + 0o130))(chr(0b1101000 + 0o15) + chr(116) + '\x66' + '\055' + chr(0b111000)), zoiuJtv6Z4HM=None, mOHRn759XvTW=None, i9YRfja_NV9K=None, oLIShrp75nZl=None):
if mOHRn759XvTW is not None:
if oLIShrp75nZl is None:
oLIShrp75nZl = {}
FfKOThdpoDTb = Oj5Un0LVKvqY(FfKOThdpoDTb, mOHRn759XvTW, i9YRfja_NV9K, **oLIShrp75nZl)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xd9\xa9\x1f\x1f\xb90\x0c\xc5b\xb4\xf0'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b0 + 0o144) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101100 + 0o1) + '\x38') and zoiuJtv6Z4HM is None:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xe9\xb6\x17\x11\xa58\x0c\xd4o\xf1\xe0\x15\xf0\xc8\x03nD\n\xe1\xb8\x9f`\xd8\x8b\xb7\xde\x90Q\xdb\x06\x80\x1e\xf3\xe7\xfb,\xb7\x15|\xf4\xcf\xa8\x1b\x06\xa5;\x16\x91j\xa3\xe4\x01\xf1\xceP=\x07\x15\xfe\xba\x9cg\xd5\x9a\xba\x9b\xcb\x1a\x92\x17\x81J\xbc\xef\xb4o\xb8\x0fb\xed\xdf\xb4\x01]\xa11\x01\xc4g\xb4\xf0]'), '\x64' + chr(101) + chr(6130 - 6031) + chr(4586 - 4475) + chr(100) + chr(4073 - 3972))(chr(0b1000 + 0o155) + chr(116) + '\x66' + '\x2d' + '\x38'))
C82J6faOUNrQ = nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\060', 60233 - 60225)
if suIjIS24Zkqw(FfKOThdpoDTb, znjnJWK64FDT):
if [B6UAF1zReOyJ for B6UAF1zReOyJ in H4NoA26ON7iG(roI3spqORKae(FfKOThdpoDTb, roI3spqORKae(ES5oEprVxulp(b'\xd1\xa3\x0b\x01'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1011000 + 0o27) + chr(0b101010 + 0o72) + '\145')(chr(0b1101001 + 0o14) + chr(0b1110100) + '\146' + '\x2d' + chr(0b10100 + 0o44)))()) if B6UAF1zReOyJ == roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), '\144' + chr(0b11011 + 0o112) + '\x63' + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(116) + chr(0b1100110) + '\055' + chr(0b111000))] == [roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), chr(0b1100100) + '\145' + '\143' + chr(0b101 + 0o152) + chr(0b1100100) + chr(0b111 + 0o136))(chr(13132 - 13015) + chr(0b1110100) + chr(0b1100110) + chr(0b110 + 0o47) + chr(2775 - 2719))]:
C82J6faOUNrQ = nzTpIcepk0o8('\x30' + chr(12007 - 11896) + '\x31', 0b1000)
if C82J6faOUNrQ == nzTpIcepk0o8(chr(48) + chr(1989 - 1878) + '\x30', 8):
FfKOThdpoDTb = ThYnc0_3rIPv(FfKOThdpoDTb)
jnBhi3fFDXwa = FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), '\144' + '\x65' + chr(0b110111 + 0o54) + chr(0b1100110 + 0o11) + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b10111 + 0o117) + chr(0b101101) + chr(0b0 + 0o70))].lhbM092AFW8f
if ftfygxgFas5X(jnBhi3fFDXwa) == nzTpIcepk0o8(chr(701 - 653) + '\157' + '\x32', 0b1000):
wE5ySYCenWs4 = jnBhi3fFDXwa[nzTpIcepk0o8(chr(48) + chr(111) + chr(0b110000), 8)] * jnBhi3fFDXwa[nzTpIcepk0o8(chr(0b11010 + 0o26) + chr(0b1101111) + chr(0b110001), 8)]
elif ftfygxgFas5X(jnBhi3fFDXwa) == nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b110001), 8):
wE5ySYCenWs4 = nzTpIcepk0o8('\x30' + chr(0b100110 + 0o111) + chr(49), 8)
else:
raise WbNHlDKpyPtQ(roI3spqORKae(ES5oEprVxulp(b'\xd7\xa9\x00\x17\xec*\r\xd0e\xf1\xf7\x03\xf3\x8bZ J\x00\xe2\xa6\x83a\xdf\x8c\xfe\xd4\x85V\x92\n\x81\x0f\xa1\xea\xfbb\xa0\x1br\xed\xce\xaf\x1f\x17\xbf'), '\144' + '\145' + chr(1650 - 1551) + chr(11758 - 11647) + chr(6631 - 6531) + chr(1181 - 1080))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(1454 - 1409) + chr(56)))
if suIjIS24Zkqw(B4QyIILDjNeo, H4NoA26ON7iG) and ftfygxgFas5X(jnBhi3fFDXwa) > nzTpIcepk0o8('\x30' + chr(111) + '\x31', 8):
uZ3YY6f9lHB0 = [[H4NoA26ON7iG(Bvi71nNyvlqO(B4QyIILDjNeo))[h3Vc_4wxEbgd], H4NoA26ON7iG(Bvi71nNyvlqO(B4QyIILDjNeo))[RuxMtHuKbM7x]] for h3Vc_4wxEbgd in bbT2xIe5pzk7(nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(0b110000), 8), ftfygxgFas5X(B4QyIILDjNeo)) for RuxMtHuKbM7x in bbT2xIe5pzk7(nzTpIcepk0o8('\x30' + '\157' + chr(0b101011 + 0o5), 8), ftfygxgFas5X(B4QyIILDjNeo)) if h3Vc_4wxEbgd != RuxMtHuKbM7x]
LvZr80viyUke = [nDF4gVNx0u9Q.ravel_multi_index(NoZxuO7wjArS, jnBhi3fFDXwa) for NoZxuO7wjArS in uZ3YY6f9lHB0]
else:
LvZr80viyUke = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8('\x30' + chr(7418 - 7307) + '\060', 8), wE5ySYCenWs4)
if hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xd4\xa9\x16\x17'), chr(0b1100 + 0o130) + '\145' + chr(99) + chr(10325 - 10214) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b100010 + 0o26)):
C82J6faOUNrQ = nDF4gVNx0u9Q.concatenate(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), '\x64' + chr(0b11110 + 0o107) + chr(0b1100010 + 0o1) + chr(0b10111 + 0o130) + '\x64' + '\145')(chr(117) + chr(116) + chr(0b1100001 + 0o5) + chr(45) + chr(56))][LvZr80viyUke, LvZr80viyUke], axis=nzTpIcepk0o8('\x30' + '\x6f' + chr(49), 8))
elif hLs7grTEJvDJ == roI3spqORKae(ES5oEprVxulp(b'\xd9\xa9\x1f\x1f\xb90\x0c\xc5b\xb4\xf0'), '\x64' + chr(0b101001 + 0o74) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(6389 - 6288))(chr(0b11100 + 0o131) + chr(0b111100 + 0o70) + chr(3131 - 3029) + chr(0b101100 + 0o1) + chr(0b111000)):
ccGkyYRbpGe6 = nDF4gVNx0u9Q.G3de2eWQaS0D(zoiuJtv6Z4HM)
jnBhi3fFDXwa = (ftfygxgFas5X(ccGkyYRbpGe6), ftfygxgFas5X(ccGkyYRbpGe6))
C82J6faOUNrQ = nDF4gVNx0u9Q.Tn6rGr7XTM7t([[None] * jnBhi3fFDXwa[nzTpIcepk0o8(chr(0b110000) + chr(7785 - 7674) + chr(0b110000), 8)]] * jnBhi3fFDXwa[nzTpIcepk0o8(chr(48) + chr(111) + chr(49), 8)])
for (ZlbFMSG8gCoF, tZbys_8L0QgH) in _kV_Bomx8PZ4(ccGkyYRbpGe6):
for (sChW4gUsXrIC, RWtImVdanJMG) in _kV_Bomx8PZ4(ccGkyYRbpGe6):
if tZbys_8L0QgH == RWtImVdanJMG:
w5vcgUzFN3bF = nDF4gVNx0u9Q.yY6ThOiDnTjT(oclC8DLjA_lV(zoiuJtv6Z4HM == tZbys_8L0QgH), k=nzTpIcepk0o8(chr(0b101 + 0o53) + chr(0b1101111) + chr(1814 - 1765), 8))
C82J6faOUNrQ[ZlbFMSG8gCoF, sChW4gUsXrIC] = nDF4gVNx0u9Q.concatenate(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), '\144' + chr(0b1100101) + '\x63' + chr(111) + chr(5611 - 5511) + chr(0b10100 + 0o121))(chr(117) + chr(116) + '\146' + chr(45) + '\x38')][w5vcgUzFN3bF[nzTpIcepk0o8(chr(0b110000) + chr(0b110000 + 0o77) + chr(176 - 128), 8)], w5vcgUzFN3bF[nzTpIcepk0o8(chr(48) + '\x6f' + chr(0b110001), 8)]])
else:
C82J6faOUNrQ[ZlbFMSG8gCoF, sChW4gUsXrIC] = nDF4gVNx0u9Q.concatenate(nDF4gVNx0u9Q.concatenate(FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), '\144' + chr(0b110111 + 0o56) + '\143' + chr(9719 - 9608) + chr(0b1011011 + 0o11) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + '\055' + chr(370 - 314))][zoiuJtv6Z4HM == tZbys_8L0QgH, :][:, zoiuJtv6Z4HM == RWtImVdanJMG]))
FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), chr(0b1100100) + '\145' + '\143' + chr(0b11010 + 0o125) + '\144' + '\x65')(chr(10692 - 10575) + chr(0b100111 + 0o115) + '\146' + chr(0b101101) + chr(0b100110 + 0o22))] = C82J6faOUNrQ
LvZr80viyUke = nDF4gVNx0u9Q.chmI_GMU_sEi(nzTpIcepk0o8('\x30' + '\157' + '\060', 8), jnBhi3fFDXwa[nzTpIcepk0o8(chr(810 - 762) + '\x6f' + chr(48), 8)] * jnBhi3fFDXwa[nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061', 8)])
if ftfygxgFas5X(jnBhi3fFDXwa) > nzTpIcepk0o8(chr(0b1001 + 0o47) + '\x6f' + chr(49), 8):
C82J6faOUNrQ = FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), chr(100) + '\145' + chr(99) + chr(0b1010111 + 0o30) + chr(0b1100100) + chr(0b1100000 + 0o5))(chr(1896 - 1779) + chr(0b1110100) + chr(1663 - 1561) + chr(0b11111 + 0o16) + chr(56))].reshape(jnBhi3fFDXwa[nzTpIcepk0o8('\060' + chr(0b10000 + 0o137) + chr(0b11111 + 0o21), 8)] * jnBhi3fFDXwa[nzTpIcepk0o8(chr(48) + chr(0b11101 + 0o122) + chr(49), 8)])
vgvVNEwbqIE2 = nDF4gVNx0u9Q.UmwwEp7MzR6q(ftfygxgFas5X(C82J6faOUNrQ)) * nDF4gVNx0u9Q.nan
else:
vgvVNEwbqIE2 = nDF4gVNx0u9Q.UmwwEp7MzR6q(nzTpIcepk0o8(chr(48) + '\x6f' + '\061', 8)) * nDF4gVNx0u9Q.nan
C82J6faOUNrQ = [FfKOThdpoDTb[roI3spqORKae(ES5oEprVxulp(b'\xd3\xa8\x06\x17\xbe=\n\xdf\x7f\xb0\xe0\x00\xe8\xc2S,T'), chr(100) + chr(101) + chr(99) + chr(0b101111 + 0o100) + chr(0b1100100) + '\x65')(chr(5565 - 5448) + '\164' + chr(102) + '\x2d' + chr(406 - 350))]]
for ZlbFMSG8gCoF in LvZr80viyUke:
if suIjIS24Zkqw(C82J6faOUNrQ[ZlbFMSG8gCoF], roI3spqORKae(nDF4gVNx0u9Q, roI3spqORKae(ES5oEprVxulp(b'\xd4\xa2\x13\x00\xbe?\x1c'), '\144' + '\x65' + chr(0b10010 + 0o121) + chr(0b1000110 + 0o51) + chr(0b1100100) + '\145')(chr(7840 - 7723) + chr(4590 - 4474) + chr(0b1100110) + chr(125 - 80) + '\x38'))):
up1BzYRikpRT = nDF4gVNx0u9Q.JE1frtxECu3x(C82J6faOUNrQ[ZlbFMSG8gCoF])
umImDsmhXdWq = nDF4gVNx0u9Q.AFfTx5xLlh3B(C82J6faOUNrQ[ZlbFMSG8gCoF])
vgvVNEwbqIE2[ZlbFMSG8gCoF] = (umImDsmhXdWq - up1BzYRikpRT) / (umImDsmhXdWq + up1BzYRikpRT)
else:
vgvVNEwbqIE2[ZlbFMSG8gCoF] = nDF4gVNx0u9Q.nan
if ftfygxgFas5X(jnBhi3fFDXwa) > nzTpIcepk0o8('\x30' + chr(4983 - 4872) + '\x31', 8):
vgvVNEwbqIE2 = vgvVNEwbqIE2.reshape(jnBhi3fFDXwa)
return vgvVNEwbqIE2 |
ianlini/flatten-dict | flatten_dict/flatten_dict.py | flatten | def flatten(d, reducer='tuple', inverse=False):
"""Flatten dict-like object.
Parameters
----------
d: dict-like object
The dict that will be flattened.
reducer: {'tuple', 'path', function} (default: 'tuple')
The key joining method. If a function is given, the function will be
used to reduce.
'tuple': The resulting key will be tuple of the original keys
'path': Use ``os.path.join`` to join keys.
inverse: bool (default: False)
Whether you want invert the resulting key and value.
Returns
-------
flat_dict: dict
"""
if isinstance(reducer, str):
reducer = REDUCER_DICT[reducer]
flat_dict = {}
def _flatten(d, parent=None):
for key, value in six.viewitems(d):
flat_key = reducer(parent, key)
if isinstance(value, Mapping):
_flatten(value, flat_key)
else:
if inverse:
flat_key, value = value, flat_key
if flat_key in flat_dict:
raise ValueError("duplicated key '{}'".format(flat_key))
flat_dict[flat_key] = value
_flatten(d)
return flat_dict | python | def flatten(d, reducer='tuple', inverse=False):
"""Flatten dict-like object.
Parameters
----------
d: dict-like object
The dict that will be flattened.
reducer: {'tuple', 'path', function} (default: 'tuple')
The key joining method. If a function is given, the function will be
used to reduce.
'tuple': The resulting key will be tuple of the original keys
'path': Use ``os.path.join`` to join keys.
inverse: bool (default: False)
Whether you want invert the resulting key and value.
Returns
-------
flat_dict: dict
"""
if isinstance(reducer, str):
reducer = REDUCER_DICT[reducer]
flat_dict = {}
def _flatten(d, parent=None):
for key, value in six.viewitems(d):
flat_key = reducer(parent, key)
if isinstance(value, Mapping):
_flatten(value, flat_key)
else:
if inverse:
flat_key, value = value, flat_key
if flat_key in flat_dict:
raise ValueError("duplicated key '{}'".format(flat_key))
flat_dict[flat_key] = value
_flatten(d)
return flat_dict | [
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The dict that will be flattened.
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The key joining method. If a function is given, the function will be
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'tuple': The resulting key will be tuple of the original keys
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ES5oEprVxulp = lambda R7ltlgvcKSD4: QNQS9e6tJqMV([bI5jsQ9OkQtj ^ [nzTpIcepk0o8('\x30' + chr(111) + '\063' + '\x30' + chr(0b110111), 43355 - 43347), nzTpIcepk0o8(chr(0b110000) + '\x6f' + '\061' + chr(55) + '\x32', 0b1000), nzTpIcepk0o8(chr(0b110000) + chr(0b1101111) + '\x32' + '\x35' + chr(0b110001), 21520 - 21512), nzTpIcepk0o8(chr(0b111 + 0o51) + '\x6f' + chr(1612 - 1561) + chr(1402 - 1352) + chr(329 - 279), 45302 - 45294), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\x6f' + '\x31' + chr(0b100010 + 0o22) + '\064', 0o10), nzTpIcepk0o8(chr(1000 - 952) + chr(0b1101111) + chr(2074 - 2025) + chr(0b110101) + chr(53), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\157' + chr(50) + chr(0b110100) + chr(2079 - 2031), 0o10), nzTpIcepk0o8(chr(48) + chr(111) + '\063' + chr(0b110001) + '\066', ord("\x08")), nzTpIcepk0o8(chr(0b110000) + chr(5469 - 5358) + chr(0b110111 + 0o0) + '\x35', 0o10), nzTpIcepk0o8('\060' + chr(7187 - 7076) + chr(1732 - 1683) + chr(52), 0b1000), nzTpIcepk0o8(chr(48) + chr(3933 - 3822) + chr(0b0 + 0o65) + chr(0b110000), 8825 - 8817), nzTpIcepk0o8(chr(0b110000) + chr(2154 - 2043) + chr(0b110010) + '\062', 34407 - 34399), nzTpIcepk0o8(chr(48) + chr(0b1101111) + '\061' + chr(0b110110) + chr(0b110010), 0o10), nzTpIcepk0o8(chr(1056 - 1008) + chr(868 - 757) + '\x31' + chr(0b110110) + '\061', 60490 - 60482), nzTpIcepk0o8('\x30' + chr(111) + chr(0b100001 + 0o21) + chr(0b110111) + chr(55), 0o10), nzTpIcepk0o8(chr(0b110000) + chr(0b1101110 + 0o1) + chr(0b110100), ord("\x08")), nzTpIcepk0o8(chr(245 - 197) + chr(9831 - 9720) + chr(0b110001) + chr(2481 - 2427) + '\x31', 8), nzTpIcepk0o8('\060' + chr(0b1101111) + '\064' + chr(388 - 338), 58141 - 58133), nzTpIcepk0o8(chr(48) + chr(0b11111 + 0o120) + '\x35' + chr(53), 0o10), nzTpIcepk0o8('\x30' + chr(0b101111 + 0o100) + chr(360 - 311) + '\060' + '\x36', 0b1000), nzTpIcepk0o8(chr(562 - 514) + '\x6f' + '\062' + chr(945 - 894) + chr(54), 0o10), nzTpIcepk0o8('\x30' + chr(4301 - 4190) + chr(0b110001) + '\062' + chr(1458 - 1410), ord("\x08")), nzTpIcepk0o8(chr(0b10101 + 0o33) + '\x6f' + '\061' + '\x30' + chr(1528 - 1480), 0o10), nzTpIcepk0o8('\x30' + chr(0b1101111) + chr(1413 - 1363) + '\061' + '\x31', 0b1000), nzTpIcepk0o8(chr(334 - 286) + '\157' + '\x36' + '\060', ord("\x08")), nzTpIcepk0o8(chr(48) + '\x6f' + chr(49) + chr(52) + '\x34', 8), nzTpIcepk0o8('\x30' + '\x6f' + chr(414 - 361) + '\060', 8), nzTpIcepk0o8('\060' + '\157' + chr(51) + chr(0b110111) + chr(0b101101 + 0o12), 39501 - 39493), nzTpIcepk0o8('\060' + '\x6f' + chr(49) + '\067', 0o10), nzTpIcepk0o8('\060' + chr(11376 - 11265) + chr(0b110001) + chr(0b1110 + 0o50) + chr(574 - 522), 56623 - 56615), nzTpIcepk0o8(chr(48) + '\x6f' + '\062' + chr(0b110011) + chr(50), 0b1000), nzTpIcepk0o8(chr(0b1001 + 0o47) + chr(5445 - 5334) + chr(0b101 + 0o55) + '\064' + chr(52), 16334 - 16326), nzTpIcepk0o8(chr(0b11111 + 0o21) + chr(111) + chr(0b110000 + 0o1) + chr(74 - 24) + chr(0b110011), 0b1000), nzTpIcepk0o8(chr(48) + chr(0b1101111) + chr(51) + '\062' + chr(0b1 + 0o60), ord("\x08")), nzTpIcepk0o8(chr(2280 - 2232) + chr(111) + '\061' + chr(0b1 + 0o65) + chr(0b1011 + 0o46), 8), nzTpIcepk0o8('\x30' + '\157' + chr(1061 - 1007) + '\x34', ord("\x08")), nzTpIcepk0o8(chr(0b100111 + 0o11) + chr(111) + '\065' + '\x37', 0b1000), nzTpIcepk0o8(chr(0b111 + 0o51) + chr(0b1011110 + 0o21) + chr(0b1010 + 0o51) + '\x36' + chr(0b110000), ord("\x08")), nzTpIcepk0o8(chr(0b110000) + '\x6f' + chr(0b1101 + 0o44) + chr(50), 0b1000), nzTpIcepk0o8(chr(0b10000 + 0o40) + chr(3005 - 2894) + chr(0b100000 + 0o23) + '\x36' + chr(1551 - 1500), 16407 - 16399)][ZlbFMSG8gCoF % nzTpIcepk0o8(chr(746 - 698) + chr(111) + '\x35' + chr(48), 8)] for (ZlbFMSG8gCoF, bI5jsQ9OkQtj) in _kV_Bomx8PZ4(R7ltlgvcKSD4)])
def rFFUeiYWzOhx(pOp6HxxfV61L, pXRQUD7VR93J):
try:
return zGgTE_CdZfvi(pOp6HxxfV61L + roI3spqORKae(ES5oEprVxulp(b'\xe9'), chr(100) + chr(101) + '\x63' + chr(111) + '\x64' + '\x65')('\165' + '\x74' + chr(4846 - 4744) + '\055' + chr(0b111000)) + pXRQUD7VR93J)
except fPFTJxVnGShv:
return zGgTE_CdZfvi(pOp6HxxfV61L)
def wozqDwllRa_T(vPPlOXQgR3SM, X61vDGqpC4f7=roI3spqORKae(ES5oEprVxulp(b'\xb3\x0f\xd9\xbe\x01'), '\x64' + chr(0b1010101 + 0o20) + chr(0b1000001 + 0o42) + chr(0b1101111) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(45) + chr(56)), aRbkKUJxR5be=nzTpIcepk0o8(chr(0b11110 + 0o22) + chr(0b1101111) + '\060', 0b1000)):
if suIjIS24Zkqw(X61vDGqpC4f7, N9zlRy29S1SS):
X61vDGqpC4f7 = BzTLYpWM3Hhq[X61vDGqpC4f7]
OQ7UEFBAVdZE = {}
def UtJC0m7HKkRF(vPPlOXQgR3SM, aY0lxtg5akD2=None):
for (QYodcsDtoGq7, uV9iBiw0y_Mp) in roI3spqORKae(YVS_F7_wWn_o, roI3spqORKae(ES5oEprVxulp(b'\xb1\x13\xcc\xa5\r\x19\xc5\xa3N'), chr(0b1100010 + 0o2) + '\145' + chr(99) + chr(0b111111 + 0o60) + chr(0b100110 + 0o76) + '\145')(chr(0b1110101) + chr(12330 - 12214) + chr(10342 - 10240) + chr(45) + chr(0b1011 + 0o55)))(vPPlOXQgR3SM):
SseuSgCO80hP = X61vDGqpC4f7(aY0lxtg5akD2, QYodcsDtoGq7)
if suIjIS24Zkqw(uV9iBiw0y_Mp, _xzUTrSL3J7B):
UtJC0m7HKkRF(uV9iBiw0y_Mp, SseuSgCO80hP)
else:
if aRbkKUJxR5be:
(SseuSgCO80hP, uV9iBiw0y_Mp) = (uV9iBiw0y_Mp, SseuSgCO80hP)
if SseuSgCO80hP in OQ7UEFBAVdZE:
raise WbNHlDKpyPtQ(roI3spqORKae(roI3spqORKae(ES5oEprVxulp(b'\xa3\x0f\xd9\xbe\r\x0e\xc1\xbaXh\x08y\x17\x08\x9f#\n_\n'), chr(0b101010 + 0o72) + chr(4780 - 4679) + chr(0b1100011) + '\157' + chr(2277 - 2177) + '\145')(chr(0b10011 + 0o142) + chr(116) + chr(102) + chr(1794 - 1749) + chr(2838 - 2782)), roI3spqORKae(ES5oEprVxulp(b'\xb6I\x9a\x99#^\xc6\xa1lSkX'), chr(1805 - 1705) + '\x65' + chr(3560 - 3461) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(0b1110100) + '\146' + '\055' + chr(0b100000 + 0o30)))(SseuSgCO80hP))
OQ7UEFBAVdZE[SseuSgCO80hP] = uV9iBiw0y_Mp
UtJC0m7HKkRF(vPPlOXQgR3SM)
return OQ7UEFBAVdZE |
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