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allenai/allennlp
|
scripts/check_requirements_and_setup.py
|
parse_requirements
|
def parse_requirements() -> Tuple[PackagesType, PackagesType, Set[str]]:
"""Parse all dependencies out of the requirements.txt file."""
essential_packages: PackagesType = {}
other_packages: PackagesType = {}
duplicates: Set[str] = set()
with open("requirements.txt", "r") as req_file:
section: str = ""
for line in req_file:
line = line.strip()
if line.startswith("####"):
# Line is a section name.
section = parse_section_name(line)
continue
if not line or line.startswith("#"):
# Line is empty or just regular comment.
continue
module, version = parse_package(line)
if module in essential_packages or module in other_packages:
duplicates.add(module)
if section.startswith("ESSENTIAL"):
essential_packages[module] = version
else:
other_packages[module] = version
return essential_packages, other_packages, duplicates
|
python
|
def parse_requirements() -> Tuple[PackagesType, PackagesType, Set[str]]:
"""Parse all dependencies out of the requirements.txt file."""
essential_packages: PackagesType = {}
other_packages: PackagesType = {}
duplicates: Set[str] = set()
with open("requirements.txt", "r") as req_file:
section: str = ""
for line in req_file:
line = line.strip()
if line.startswith("####"):
# Line is a section name.
section = parse_section_name(line)
continue
if not line or line.startswith("#"):
# Line is empty or just regular comment.
continue
module, version = parse_package(line)
if module in essential_packages or module in other_packages:
duplicates.add(module)
if section.startswith("ESSENTIAL"):
essential_packages[module] = version
else:
other_packages[module] = version
return essential_packages, other_packages, duplicates
|
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] |
Parse all dependencies out of the requirements.txt file.
|
[
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/scripts/check_requirements_and_setup.py#L32-L60
|
train
|
Parse all dependencies out of the requirements. txt file.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\061' + chr(0b110110) + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1000110 + 0o51) + chr(51) + chr(0b100100 + 0o22) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100110 + 0o15) + '\067' + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + '\x31' + '\067' + chr(0b110010 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(2142 - 2090) + '\x31', 53495 - 53487), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b10 + 0o61), 0o10), ehT0Px3KOsy9('\060' + chr(10555 - 10444) + chr(0b110011) + chr(2742 - 2689) + '\x30', 46537 - 46529), ehT0Px3KOsy9(chr(48) + chr(6489 - 6378) + chr(0b110010 + 0o1) + chr(50) + '\060', 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b1011 + 0o50) + chr(280 - 225), 57159 - 57151), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(0b101101 + 0o12) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9745 - 9634) + chr(0b100011 + 0o20) + chr(0b110111) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b100001 + 0o116) + chr(2501 - 2449) + chr(2485 - 2434), ord("\x08")), ehT0Px3KOsy9(chr(1168 - 1120) + '\157' + chr(51) + chr(2084 - 2034) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + '\x32' + '\060' + '\x36', 15044 - 15036), ehT0Px3KOsy9('\x30' + chr(11794 - 11683) + '\x31' + '\067' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(1266 - 1216) + '\x36' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1735 - 1687) + chr(2144 - 2033) + chr(2386 - 2336) + '\061' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(11804 - 11693) + '\x32' + chr(0b110110) + chr(0b0 + 0o61), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\x37' + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(1974 - 1919) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + '\x31' + chr(807 - 757) + '\x30', 25089 - 25081), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101000 + 0o11) + '\067' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(4928 - 4817) + '\063' + chr(0b110101) + chr(0b110001), 62768 - 62760), ehT0Px3KOsy9(chr(979 - 931) + chr(0b1101101 + 0o2) + chr(509 - 459) + chr(0b110001 + 0o6) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(540 - 491) + chr(0b110001), 55904 - 55896), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(144 - 90) + chr(0b110010), 31608 - 31600), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(50) + chr(51) + chr(0b10001 + 0o43), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1011 + 0o144) + '\065' + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\x37' + chr(0b1100 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(50) + chr(0b110011), 12122 - 12114), ehT0Px3KOsy9(chr(0b110000) + chr(9922 - 9811) + chr(0b110011) + '\067' + chr(0b101001 + 0o11), 39402 - 39394), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(961 - 908) + chr(0b10010 + 0o45), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1247 - 1197) + chr(52) + '\064', 0b1000), ehT0Px3KOsy9(chr(1788 - 1740) + '\x6f' + chr(49) + chr(1445 - 1391) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061' + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(51) + chr(1997 - 1949) + chr(49), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(2291 - 2242) + '\067' + '\x37', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(52) + '\066', 42912 - 42904)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'X'), '\144' + chr(7205 - 7104) + chr(99) + chr(111) + '\144' + chr(2935 - 2834))(chr(0b1000110 + 0o57) + chr(9420 - 9304) + chr(3262 - 3160) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def u_fwmzLUNOPL() -> MRK8Uzg2En3D[HDxRagCwXJZ_, HDxRagCwXJZ_, nRCEkXkGnMeI[M8_cKLkHVB2V]]:
hcRA1fmNrNgE = {}
yhcARcZzeAar = {}
TJgV3vuHy3_X = MVEN8G6CxlvR()
with _fwkIVCGgtAN(xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\x93\x8f\n\x08y\x8d\xbdz\xd7\xc4\x8f?W\xae\xf2'), chr(100) + chr(6529 - 6428) + '\143' + chr(111) + '\x64' + '\145')('\x75' + '\x74' + chr(0b1001010 + 0o34) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x04'), '\x64' + chr(101) + chr(8596 - 8497) + '\x6f' + chr(0b1100100) + '\x65')('\165' + '\x74' + '\x66' + chr(0b10100 + 0o31) + chr(0b110010 + 0o6))) as l3EJ7aNZN_WV:
zhibvHFgaDZW = xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(2470 - 2370) + '\x65' + chr(99) + chr(5043 - 4932) + chr(0b1010100 + 0o20) + chr(4678 - 4577))(chr(0b1011010 + 0o33) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b110000 + 0o10))
for LycYkDpyelF6 in l3EJ7aNZN_WV:
LycYkDpyelF6 = LycYkDpyelF6.strip()
if xafqLlk3kkUe(LycYkDpyelF6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x82\x9f\r\x15x\x9f\xb9k\xd1'), chr(0b1000011 + 0o41) + chr(0b1 + 0o144) + chr(5676 - 5577) + chr(4515 - 4404) + chr(6324 - 6224) + chr(3439 - 3338))('\x75' + chr(0b1000011 + 0o61) + '\x66' + chr(0b101101) + chr(0b101111 + 0o11)))(xafqLlk3kkUe(SXOLrMavuUCe(b'U\xd5\xdd\\'), '\144' + chr(101) + chr(6659 - 6560) + chr(0b1101111) + '\x64' + chr(101))(chr(0b10011 + 0o142) + chr(9651 - 9535) + chr(102) + chr(449 - 404) + '\x38')):
zhibvHFgaDZW = CmbtAbC9Gl_R(LycYkDpyelF6)
continue
if not LycYkDpyelF6 or xafqLlk3kkUe(LycYkDpyelF6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x82\x9f\r\x15x\x9f\xb9k\xd1'), '\x64' + chr(101) + chr(99) + '\157' + chr(5420 - 5320) + chr(6177 - 6076))(chr(0b1110001 + 0o4) + chr(5290 - 5174) + chr(0b1100110) + chr(45) + chr(0b100110 + 0o22)))(xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(0b1001100 + 0o30) + chr(0b1010101 + 0o20) + chr(99) + chr(0b1101111) + chr(0b0 + 0o144) + chr(101))(chr(0b1010 + 0o153) + '\164' + chr(5823 - 5721) + '\x2d' + chr(0b100 + 0o64))):
continue
(RqocVGOryNPv, cpMfQ_4_Vb7C) = kS7ocH__HbSg(LycYkDpyelF6)
if RqocVGOryNPv in hcRA1fmNrNgE or RqocVGOryNPv in yhcARcZzeAar:
xafqLlk3kkUe(TJgV3vuHy3_X, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03\xbc\xce\x0eXh\xaf\xe5E\xf6\xe2\xcf'), '\144' + '\x65' + '\143' + chr(5828 - 5717) + chr(0b100111 + 0o75) + '\145')(chr(0b110111 + 0o76) + chr(0b1110100) + chr(0b1011 + 0o133) + chr(986 - 941) + '\x38'))(RqocVGOryNPv)
if xafqLlk3kkUe(zhibvHFgaDZW, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\x82\x9f\r\x15x\x9f\xb9k\xd1'), chr(3860 - 3760) + '\145' + '\x63' + chr(0b1101111) + chr(5254 - 5154) + chr(0b1000110 + 0o37))(chr(0b1011111 + 0o26) + chr(0b1110100) + chr(102) + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'3\xa5\xad:/_\xa1\x91S'), chr(100) + '\145' + chr(99) + chr(0b1010110 + 0o31) + chr(100) + '\145')(chr(4320 - 4203) + chr(3449 - 3333) + '\x66' + '\x2d' + chr(56))):
hcRA1fmNrNgE[RqocVGOryNPv] = cpMfQ_4_Vb7C
else:
yhcARcZzeAar[RqocVGOryNPv] = cpMfQ_4_Vb7C
return (hcRA1fmNrNgE, yhcARcZzeAar, TJgV3vuHy3_X)
|
allenai/allennlp
|
scripts/check_requirements_and_setup.py
|
parse_setup
|
def parse_setup() -> Tuple[PackagesType, PackagesType, Set[str], Set[str]]:
"""Parse all dependencies out of the setup.py script."""
essential_packages: PackagesType = {}
test_packages: PackagesType = {}
essential_duplicates: Set[str] = set()
test_duplicates: Set[str] = set()
with open('setup.py') as setup_file:
contents = setup_file.read()
# Parse out essential packages.
package_string = re.search(r"""install_requires=\[[\s\n]*['"](.*?)['"],?[\s\n]*\]""",
contents, re.DOTALL).groups()[0].strip()
for package in re.split(r"""['"],[\s\n]+['"]""", package_string):
module, version = parse_package(package)
if module in essential_packages:
essential_duplicates.add(module)
else:
essential_packages[module] = version
# Parse packages only needed for testing.
package_string = re.search(r"""tests_require=\[[\s\n]*['"](.*?)['"],?[\s\n]*\]""",
contents, re.DOTALL).groups()[0].strip()
for package in re.split(r"""['"],[\s\n]+['"]""", package_string):
module, version = parse_package(package)
if module in test_packages:
test_duplicates.add(module)
else:
test_packages[module] = version
return essential_packages, test_packages, essential_duplicates, test_duplicates
|
python
|
def parse_setup() -> Tuple[PackagesType, PackagesType, Set[str], Set[str]]:
"""Parse all dependencies out of the setup.py script."""
essential_packages: PackagesType = {}
test_packages: PackagesType = {}
essential_duplicates: Set[str] = set()
test_duplicates: Set[str] = set()
with open('setup.py') as setup_file:
contents = setup_file.read()
# Parse out essential packages.
package_string = re.search(r"""install_requires=\[[\s\n]*['"](.*?)['"],?[\s\n]*\]""",
contents, re.DOTALL).groups()[0].strip()
for package in re.split(r"""['"],[\s\n]+['"]""", package_string):
module, version = parse_package(package)
if module in essential_packages:
essential_duplicates.add(module)
else:
essential_packages[module] = version
# Parse packages only needed for testing.
package_string = re.search(r"""tests_require=\[[\s\n]*['"](.*?)['"],?[\s\n]*\]""",
contents, re.DOTALL).groups()[0].strip()
for package in re.split(r"""['"],[\s\n]+['"]""", package_string):
module, version = parse_package(package)
if module in test_packages:
test_duplicates.add(module)
else:
test_packages[module] = version
return essential_packages, test_packages, essential_duplicates, test_duplicates
|
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] |
Parse all dependencies out of the setup.py script.
|
[
"Parse",
"all",
"dependencies",
"out",
"of",
"the",
"setup",
".",
"py",
"script",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/scripts/check_requirements_and_setup.py#L63-L93
|
train
|
Parse the setup. py script.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + '\062' + chr(0b110000) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(2572 - 2521) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110101) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x32' + chr(1026 - 974), ord("\x08")), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b110011) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(51) + chr(0b1111 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(6515 - 6404) + chr(0b110001) + '\067' + chr(1734 - 1686), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11934 - 11823) + chr(0b100010 + 0o23) + '\061', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(770 - 721) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + chr(0b1110 + 0o45) + chr(0b110101) + chr(0b110000 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + '\063' + chr(55) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011000 + 0o27) + '\062' + chr(0b10100 + 0o40) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063', 2054 - 2046), ehT0Px3KOsy9('\060' + chr(5303 - 5192) + chr(0b101 + 0o55) + chr(0b100110 + 0o13) + chr(1962 - 1914), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100000 + 0o17) + chr(0b110010) + chr(48) + '\061', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x34' + '\x33', 0b1000), ehT0Px3KOsy9(chr(624 - 576) + chr(0b1110 + 0o141) + chr(51) + chr(1349 - 1298), 0o10), ehT0Px3KOsy9(chr(48) + chr(8754 - 8643) + '\063' + chr(0b100010 + 0o22) + chr(0b110110), 4210 - 4202), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1101111) + chr(0b101 + 0o55) + chr(0b101111 + 0o1) + chr(0b110110), 36357 - 36349), ehT0Px3KOsy9(chr(798 - 750) + '\157' + chr(49) + chr(50) + chr(0b101111 + 0o5), 64449 - 64441), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1597 - 1546) + '\064' + chr(54), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(309 - 257) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(1458 - 1410) + chr(0b1101111) + chr(0b11110 + 0o25) + chr(0b110000) + chr(0b100001 + 0o25), 54498 - 54490), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(2279 - 2231) + '\157' + '\x37' + '\060', 24471 - 24463), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(55) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + '\061' + chr(0b110010 + 0o2) + chr(48), 42646 - 42638), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(7208 - 7097) + chr(0b10010 + 0o41) + chr(606 - 552) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(6698 - 6587) + '\061' + '\x34' + chr(1700 - 1648), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(49) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110100) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(273 - 218) + chr(53), 36208 - 36200), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(52) + chr(0b10011 + 0o43), 10761 - 10753), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\x37' + chr(51), 36184 - 36176), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + chr(0b110110) + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(10468 - 10357) + chr(0b110010) + chr(1810 - 1756) + chr(0b11010 + 0o27), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1006 - 956) + '\x37' + chr(0b1111 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11010 + 0o125) + chr(0b10000 + 0o42) + '\x32' + chr(2046 - 1997), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x35' + chr(48), 14492 - 14484)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(100) + chr(0b1000111 + 0o36) + chr(0b111000 + 0o53) + '\157' + chr(2584 - 2484) + chr(3808 - 3707))('\x75' + chr(6075 - 5959) + '\146' + '\055' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def MoBWMFE4QEb9() -> MRK8Uzg2En3D[HDxRagCwXJZ_, HDxRagCwXJZ_, nRCEkXkGnMeI[M8_cKLkHVB2V], nRCEkXkGnMeI[M8_cKLkHVB2V]]:
hcRA1fmNrNgE = {}
NEggJGWr0j_l = {}
vctY4yR_9m3d = MVEN8G6CxlvR()
fHPVNodjyCPg = MVEN8G6CxlvR()
with _fwkIVCGgtAN(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xba\xdc\xa1\xb8s\x08P'), chr(100) + chr(101) + chr(0b1001111 + 0o24) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(45) + '\x38')) as pWwcfpHb0XXt:
aqpRP5sxx_oP = pWwcfpHb0XXt.U6MiWrhuCi2Y()
tUwIAk8fjE2e = _7u55U49WwX2.search(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xb1\xdb\xa0\xa91\x14v\x0c\x8f\x8a\xd4j\xfa\xe4\x10&\xba\xdd\x0f\xbaV\x9azeR;>\xd29\xe6?\xcaB\x8f\xe0T\x93\xe7\xbd\xbe\x84\xf4\xa7\x943%\x03"\xb7'), chr(0b1011110 + 0o6) + '\x65' + '\143' + chr(111) + chr(0b11 + 0o141) + chr(101))('\x75' + chr(0b10000 + 0o144) + chr(0b1100110) + chr(45) + '\070'), aqpRP5sxx_oP, _7u55U49WwX2.DOTALL).groups()[ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + chr(48), ord("\x08"))].strip()
for WposWUfRseFp in xafqLlk3kkUe(_7u55U49WwX2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xaf\xc4\xbd\xbc'), chr(100) + chr(0b101100 + 0o71) + chr(2819 - 2720) + '\x6f' + chr(7360 - 7260) + chr(1214 - 1113))('\165' + '\164' + chr(0b1000010 + 0o44) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xf8\x8a\x89\xe4\x06$Z"\x84\xa6\x8aX\xaf\xa3>'), chr(0b1100100) + chr(0b101111 + 0o66) + '\x63' + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(0b101011 + 0o111) + chr(102) + chr(0b101001 + 0o4) + '\070'), tUwIAk8fjE2e):
(RqocVGOryNPv, cpMfQ_4_Vb7C) = kS7ocH__HbSg(WposWUfRseFp)
if RqocVGOryNPv in hcRA1fmNrNgE:
xafqLlk3kkUe(vctY4yR_9m3d, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x95\x98\xa5\xf1>?\x1c$\xa5\xa9\x92'), chr(7112 - 7012) + '\145' + chr(99) + chr(9700 - 9589) + '\144' + '\x65')(chr(0b1100 + 0o151) + chr(0b1000011 + 0o61) + chr(9587 - 9485) + '\055' + '\x38'))(RqocVGOryNPv)
else:
hcRA1fmNrNgE[RqocVGOryNPv] = cpMfQ_4_Vb7C
tUwIAk8fjE2e = _7u55U49WwX2.search(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5\xba\xdb\xa0\xbb\x02\nL\x0f\x9f\x92\xd3f\xb5\xdd8@\xba\xf5\x08\x88x\xecO\x1fZ=1\xdeN\xf18\xbbZ\x84\xe6_\x8e\xe1\xcd\xf2\x83\xc6\x89\xe2\x01%'), '\144' + '\145' + chr(99) + chr(111) + chr(0b1100100) + '\145')(chr(12728 - 12611) + chr(0b1110100) + chr(102) + '\055' + chr(0b111000)), aqpRP5sxx_oP, _7u55U49WwX2.DOTALL).groups()[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100100 + 0o14), 8)].strip()
for WposWUfRseFp in xafqLlk3kkUe(_7u55U49WwX2, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\xaf\xc4\xbd\xbc'), chr(409 - 309) + chr(0b101011 + 0o72) + chr(99) + chr(0b100011 + 0o114) + '\144' + chr(8813 - 8712))('\165' + chr(13114 - 12998) + '\x66' + '\055' + chr(0b10001 + 0o47)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xda\xf8\x8a\x89\xe4\x06$Z"\x84\xa6\x8aX\xaf\xa3>'), '\144' + '\145' + chr(0b110010 + 0o61) + '\157' + '\144' + chr(101))('\x75' + chr(0b110010 + 0o102) + '\x66' + chr(0b101101) + '\x38'), tUwIAk8fjE2e):
(RqocVGOryNPv, cpMfQ_4_Vb7C) = kS7ocH__HbSg(WposWUfRseFp)
if RqocVGOryNPv in NEggJGWr0j_l:
xafqLlk3kkUe(fHPVNodjyCPg, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\x95\x98\xa5\xf1>?\x1c$\xa5\xa9\x92'), chr(0b101011 + 0o71) + chr(0b1010000 + 0o25) + chr(0b1100011) + chr(4461 - 4350) + chr(3612 - 3512) + chr(4405 - 4304))(chr(0b0 + 0o165) + chr(11278 - 11162) + '\x66' + chr(0b10110 + 0o27) + chr(0b111000)))(RqocVGOryNPv)
else:
NEggJGWr0j_l[RqocVGOryNPv] = cpMfQ_4_Vb7C
return (hcRA1fmNrNgE, NEggJGWr0j_l, vctY4yR_9m3d, fHPVNodjyCPg)
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
enumerate_spans
|
def enumerate_spans(sentence: List[T],
offset: int = 0,
max_span_width: int = None,
min_span_width: int = 1,
filter_function: Callable[[List[T]], bool] = None) -> List[Tuple[int, int]]:
"""
Given a sentence, return all token spans within the sentence. Spans are `inclusive`.
Additionally, you can provide a maximum and minimum span width, which will be used
to exclude spans outside of this range.
Finally, you can provide a function mapping ``List[T] -> bool``, which will
be applied to every span to decide whether that span should be included. This
allows filtering by length, regex matches, pos tags or any Spacy ``Token``
attributes, for example.
Parameters
----------
sentence : ``List[T]``, required.
The sentence to generate spans for. The type is generic, as this function
can be used with strings, or Spacy ``Tokens`` or other sequences.
offset : ``int``, optional (default = 0)
A numeric offset to add to all span start and end indices. This is helpful
if the sentence is part of a larger structure, such as a document, which
the indices need to respect.
max_span_width : ``int``, optional (default = None)
The maximum length of spans which should be included. Defaults to len(sentence).
min_span_width : ``int``, optional (default = 1)
The minimum length of spans which should be included. Defaults to 1.
filter_function : ``Callable[[List[T]], bool]``, optional (default = None)
A function mapping sequences of the passed type T to a boolean value.
If ``True``, the span is included in the returned spans from the
sentence, otherwise it is excluded..
"""
max_span_width = max_span_width or len(sentence)
filter_function = filter_function or (lambda x: True)
spans: List[Tuple[int, int]] = []
for start_index in range(len(sentence)):
last_end_index = min(start_index + max_span_width, len(sentence))
first_end_index = min(start_index + min_span_width - 1, len(sentence))
for end_index in range(first_end_index, last_end_index):
start = offset + start_index
end = offset + end_index
# add 1 to end index because span indices are inclusive.
if filter_function(sentence[slice(start_index, end_index + 1)]):
spans.append((start, end))
return spans
|
python
|
def enumerate_spans(sentence: List[T],
offset: int = 0,
max_span_width: int = None,
min_span_width: int = 1,
filter_function: Callable[[List[T]], bool] = None) -> List[Tuple[int, int]]:
"""
Given a sentence, return all token spans within the sentence. Spans are `inclusive`.
Additionally, you can provide a maximum and minimum span width, which will be used
to exclude spans outside of this range.
Finally, you can provide a function mapping ``List[T] -> bool``, which will
be applied to every span to decide whether that span should be included. This
allows filtering by length, regex matches, pos tags or any Spacy ``Token``
attributes, for example.
Parameters
----------
sentence : ``List[T]``, required.
The sentence to generate spans for. The type is generic, as this function
can be used with strings, or Spacy ``Tokens`` or other sequences.
offset : ``int``, optional (default = 0)
A numeric offset to add to all span start and end indices. This is helpful
if the sentence is part of a larger structure, such as a document, which
the indices need to respect.
max_span_width : ``int``, optional (default = None)
The maximum length of spans which should be included. Defaults to len(sentence).
min_span_width : ``int``, optional (default = 1)
The minimum length of spans which should be included. Defaults to 1.
filter_function : ``Callable[[List[T]], bool]``, optional (default = None)
A function mapping sequences of the passed type T to a boolean value.
If ``True``, the span is included in the returned spans from the
sentence, otherwise it is excluded..
"""
max_span_width = max_span_width or len(sentence)
filter_function = filter_function or (lambda x: True)
spans: List[Tuple[int, int]] = []
for start_index in range(len(sentence)):
last_end_index = min(start_index + max_span_width, len(sentence))
first_end_index = min(start_index + min_span_width - 1, len(sentence))
for end_index in range(first_end_index, last_end_index):
start = offset + start_index
end = offset + end_index
# add 1 to end index because span indices are inclusive.
if filter_function(sentence[slice(start_index, end_index + 1)]):
spans.append((start, end))
return spans
|
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] |
Given a sentence, return all token spans within the sentence. Spans are `inclusive`.
Additionally, you can provide a maximum and minimum span width, which will be used
to exclude spans outside of this range.
Finally, you can provide a function mapping ``List[T] -> bool``, which will
be applied to every span to decide whether that span should be included. This
allows filtering by length, regex matches, pos tags or any Spacy ``Token``
attributes, for example.
Parameters
----------
sentence : ``List[T]``, required.
The sentence to generate spans for. The type is generic, as this function
can be used with strings, or Spacy ``Tokens`` or other sequences.
offset : ``int``, optional (default = 0)
A numeric offset to add to all span start and end indices. This is helpful
if the sentence is part of a larger structure, such as a document, which
the indices need to respect.
max_span_width : ``int``, optional (default = None)
The maximum length of spans which should be included. Defaults to len(sentence).
min_span_width : ``int``, optional (default = 1)
The minimum length of spans which should be included. Defaults to 1.
filter_function : ``Callable[[List[T]], bool]``, optional (default = None)
A function mapping sequences of the passed type T to a boolean value.
If ``True``, the span is included in the returned spans from the
sentence, otherwise it is excluded..
|
[
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"of",
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"range",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L20-L66
|
train
|
Given a list of sentences return all token spans within the sentence.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(0b110011) + chr(53) + chr(1146 - 1098), 1551 - 1543), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(0b100100 + 0o16) + chr(0b110100), 46926 - 46918), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\x31' + chr(0b101000 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b111100 + 0o63) + chr(0b10110 + 0o34) + chr(1276 - 1223) + chr(183 - 130), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\064' + chr(1357 - 1307), 19095 - 19087), ehT0Px3KOsy9(chr(355 - 307) + chr(0b1101111) + '\x33' + chr(0b110010) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(56 - 5) + chr(0b100110 + 0o14), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101101 + 0o4) + chr(445 - 397), 1456 - 1448), ehT0Px3KOsy9(chr(2056 - 2008) + '\157' + chr(0b110010) + '\x33' + chr(0b11 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + chr(770 - 715) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + chr(49) + chr(0b10011 + 0o41) + chr(1852 - 1798), 31279 - 31271), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(49) + chr(0b110001) + '\060', 8), ehT0Px3KOsy9('\060' + chr(2548 - 2437) + '\x31' + '\063' + chr(1062 - 1011), 0o10), ehT0Px3KOsy9(chr(930 - 882) + '\x6f' + chr(55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11649 - 11538) + chr(49) + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\x30' + chr(2360 - 2249) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(0b110010) + chr(710 - 656), 10091 - 10083), ehT0Px3KOsy9(chr(1181 - 1133) + '\157' + chr(0b110010) + chr(52) + chr(53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o45) + '\x37', 5746 - 5738), ehT0Px3KOsy9(chr(406 - 358) + '\x6f' + chr(51) + chr(1212 - 1164) + '\x32', 0o10), ehT0Px3KOsy9(chr(1074 - 1026) + '\157' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1423 - 1375) + chr(111) + '\x32' + chr(0b110000) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o61) + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2049 - 2001) + chr(0b111 + 0o150) + chr(0b1001 + 0o54) + '\061', 62035 - 62027), ehT0Px3KOsy9(chr(0b110000) + chr(1473 - 1362) + chr(0b11010 + 0o31) + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b110000) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(10073 - 9962) + '\062' + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6650 - 6539) + chr(0b100001 + 0o21) + chr(0b100000 + 0o27) + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\063' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + chr(0b10000 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\063' + chr(1276 - 1222) + '\061', 26653 - 26645), ehT0Px3KOsy9('\x30' + chr(0b100001 + 0o116) + chr(0b1010 + 0o55) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x37' + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11387 - 11276) + chr(1459 - 1410) + chr(0b110110) + '\064', 12064 - 12056), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110100) + chr(0b101000 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6799 - 6688) + chr(49) + chr(0b110000) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(3577 - 3466) + chr(1403 - 1354) + chr(0b100100 + 0o22) + chr(50), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1110 + 0o141) + chr(383 - 332) + chr(0b110000) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + '\x33' + '\060' + '\061', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(6740 - 6629) + '\065' + chr(0b11110 + 0o22), 58984 - 58976)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc6'), chr(1632 - 1532) + '\145' + chr(5815 - 5716) + '\x6f' + '\x64' + chr(1069 - 968))(chr(11271 - 11154) + chr(0b111101 + 0o67) + chr(9676 - 9574) + chr(45) + chr(0b11101 + 0o33)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KrzE1AOMDsJ8(pamQPTGoym5v, VRaYxwVeIO1g=ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8), rYIG8vToO5S7=None, qyITN22BCqI1=ehT0Px3KOsy9(chr(363 - 315) + chr(4812 - 4701) + chr(49), 0o10), XVQKf8KysRbr=None) -> qRxF7OQ0y39T[MRK8Uzg2En3D[ehT0Px3KOsy9, ehT0Px3KOsy9]]:
rYIG8vToO5S7 = rYIG8vToO5S7 or c2A0yzQpDQB3(pamQPTGoym5v)
XVQKf8KysRbr = XVQKf8KysRbr or (lambda OeWW0F1dBPRQ: ehT0Px3KOsy9(chr(982 - 934) + '\157' + chr(49), 8))
aPSH2X7oF0wS = []
for jrpEXfDZwQEA in vQr8gNKaIaWE(c2A0yzQpDQB3(pamQPTGoym5v)):
I5aJ6M3H0mPV = Dx22bkKPdt5d(jrpEXfDZwQEA + rYIG8vToO5S7, c2A0yzQpDQB3(pamQPTGoym5v))
hud5n8hd1O3x = Dx22bkKPdt5d(jrpEXfDZwQEA + qyITN22BCqI1 - ehT0Px3KOsy9('\060' + chr(111) + chr(0b101011 + 0o6), 8), c2A0yzQpDQB3(pamQPTGoym5v))
for WjkykCmrXkZ6 in vQr8gNKaIaWE(hud5n8hd1O3x, I5aJ6M3H0mPV):
avRbFsnfJxQj = VRaYxwVeIO1g + jrpEXfDZwQEA
whWDZq5_lP01 = VRaYxwVeIO1g + WjkykCmrXkZ6
if XVQKf8KysRbr(pamQPTGoym5v[W3g84rNiEdDQ(jrpEXfDZwQEA, WjkykCmrXkZ6 + ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + '\x31', 8))]):
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89\xa4\xfc\xc8\x0c\xb1'), chr(7244 - 7144) + chr(101) + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(5905 - 5788) + '\164' + chr(0b1000 + 0o136) + chr(0b101 + 0o50) + chr(0b111000)))((avRbFsnfJxQj, whWDZq5_lP01))
return aPSH2X7oF0wS
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
bio_tags_to_spans
|
def bio_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BIO tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans. This function works properly when
the spans are unlabeled (i.e., your labels are simply "B", "I", and "O").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
classes_to_ignore = classes_to_ignore or []
spans: Set[Tuple[str, Tuple[int, int]]] = set()
span_start = 0
span_end = 0
active_conll_tag = None
for index, string_tag in enumerate(tag_sequence):
# Actual BIO tag.
bio_tag = string_tag[0]
if bio_tag not in ["B", "I", "O"]:
raise InvalidTagSequence(tag_sequence)
conll_tag = string_tag[2:]
if bio_tag == "O" or conll_tag in classes_to_ignore:
# The span has ended.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = None
# We don't care about tags we are
# told to ignore, so we do nothing.
continue
elif bio_tag == "B":
# We are entering a new span; reset indices
# and active tag to new span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = conll_tag
span_start = index
span_end = index
elif bio_tag == "I" and conll_tag == active_conll_tag:
# We're inside a span.
span_end += 1
else:
# This is the case the bio label is an "I", but either:
# 1) the span hasn't started - i.e. an ill formed span.
# 2) The span is an I tag for a different conll annotation.
# We'll process the previous span if it exists, but also
# include this span. This is important, because otherwise,
# a model may get a perfect F1 score whilst still including
# false positive ill-formed spans.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = conll_tag
span_start = index
span_end = index
# Last token might have been a part of a valid span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
return list(spans)
|
python
|
def bio_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BIO tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans. This function works properly when
the spans are unlabeled (i.e., your labels are simply "B", "I", and "O").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
classes_to_ignore = classes_to_ignore or []
spans: Set[Tuple[str, Tuple[int, int]]] = set()
span_start = 0
span_end = 0
active_conll_tag = None
for index, string_tag in enumerate(tag_sequence):
# Actual BIO tag.
bio_tag = string_tag[0]
if bio_tag not in ["B", "I", "O"]:
raise InvalidTagSequence(tag_sequence)
conll_tag = string_tag[2:]
if bio_tag == "O" or conll_tag in classes_to_ignore:
# The span has ended.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = None
# We don't care about tags we are
# told to ignore, so we do nothing.
continue
elif bio_tag == "B":
# We are entering a new span; reset indices
# and active tag to new span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = conll_tag
span_start = index
span_end = index
elif bio_tag == "I" and conll_tag == active_conll_tag:
# We're inside a span.
span_end += 1
else:
# This is the case the bio label is an "I", but either:
# 1) the span hasn't started - i.e. an ill formed span.
# 2) The span is an I tag for a different conll annotation.
# We'll process the previous span if it exists, but also
# include this span. This is important, because otherwise,
# a model may get a perfect F1 score whilst still including
# false positive ill-formed spans.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = conll_tag
span_start = index
span_end = index
# Last token might have been a part of a valid span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
return list(spans)
|
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Given a sequence corresponding to BIO tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans. This function works properly when
the spans are unlabeled (i.e., your labels are simply "B", "I", and "O").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L69-L139
|
train
|
Given a sequence corresponding to BIO tags extracts spans from the BIO tags and returns a list of typed string spans.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(2669 - 2614) + '\x37', 0o10), ehT0Px3KOsy9(chr(837 - 789) + chr(111) + chr(49) + chr(0b110010) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b100101 + 0o15) + chr(885 - 830), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(1133 - 1085) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1625 - 1575) + chr(0b1011 + 0o45) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + chr(0b110001) + chr(0b110011) + '\063', 3357 - 3349), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(54) + '\x32', 48601 - 48593), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(0b1100 + 0o47) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(1756 - 1645) + chr(0b101011 + 0o6) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\061' + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(2385 - 2336), 30593 - 30585), ehT0Px3KOsy9(chr(1128 - 1080) + chr(111) + '\062' + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(2027 - 1979) + chr(7495 - 7384) + chr(1564 - 1511) + chr(674 - 622), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\067' + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x33' + chr(54), 62765 - 62757), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + chr(0b110011) + '\x37' + chr(0b110010), 11729 - 11721), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(0b1010 + 0o50) + chr(0b110001 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b11010 + 0o35) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1600 - 1552) + '\x6f' + '\x36' + chr(796 - 744), 0o10), ehT0Px3KOsy9(chr(1412 - 1364) + chr(8211 - 8100) + chr(2146 - 2095) + '\062' + '\067', 19411 - 19403), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100011 + 0o20) + '\x34' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b100100 + 0o15) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010 + 0o1) + chr(50) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b110110), 60012 - 60004), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(1395 - 1344) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o13) + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x31' + '\066', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(326 - 276) + '\061', 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5470 - 5359) + chr(0b110111) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1373 - 1323) + chr(574 - 522) + chr(1613 - 1564), 2114 - 2106), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b111010 + 0o65) + '\062' + '\060' + chr(2113 - 2058), 19754 - 19746), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(1128 - 1074) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + chr(2891 - 2780) + chr(49) + '\063' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1810 - 1760) + '\061' + chr(50), 17973 - 17965), ehT0Px3KOsy9(chr(683 - 635) + '\157' + chr(51) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\066' + '\067', 57282 - 57274)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1196 - 1148) + chr(0b1101111) + chr(1159 - 1106) + '\060', 3874 - 3866)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x11'), '\x64' + chr(101) + '\143' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(7332 - 7215) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b100101 + 0o23)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UwYLV38hGgKm(utunRCPj8Imk, CwAp18FPCQND=None) -> qRxF7OQ0y39T[JWGWO_DJzASh]:
CwAp18FPCQND = CwAp18FPCQND or []
aPSH2X7oF0wS = MVEN8G6CxlvR()
CGzUSvlyKBQD = ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(48), ord("\x08"))
b5O2oQPg9Xzq = ehT0Px3KOsy9(chr(208 - 160) + chr(111) + chr(0b110000), 8)
yLFZp0KTSDdd = None
for (XdowRbJKZWL9, pMllmnQutflp) in YlkZvXL8qwsX(utunRCPj8Imk):
nqlyuzJKYN3X = pMllmnQutflp[ehT0Px3KOsy9('\x30' + '\157' + '\x30', 8)]
if nqlyuzJKYN3X not in [xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + chr(0b10000 + 0o144) + '\146' + '\055' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(4303 - 4203) + chr(0b1100 + 0o131) + chr(99) + chr(111) + chr(6825 - 6725) + chr(101))('\x75' + '\x74' + chr(1636 - 1534) + chr(45) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'p'), chr(0b1100100) + chr(5689 - 5588) + chr(8958 - 8859) + '\x6f' + chr(100) + chr(101))(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(0b111000))]:
raise WPN1tW8jgnXd(utunRCPj8Imk)
cyGlHNlV75NR = pMllmnQutflp[ehT0Px3KOsy9(chr(0b110000) + chr(4953 - 4842) + chr(407 - 357), 0o10):]
if nqlyuzJKYN3X == xafqLlk3kkUe(SXOLrMavuUCe(b'p'), '\144' + chr(0b1100101) + chr(0b11110 + 0o105) + '\157' + chr(0b100100 + 0o100) + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(0b101101) + chr(0b111000)) or cyGlHNlV75NR in CwAp18FPCQND:
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x1f\xa5f}\xe7\x1c\xc7\x98C\x99"'), '\x64' + chr(9607 - 9506) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b101000 + 0o75))('\x75' + chr(0b1110000 + 0o4) + '\x66' + chr(1054 - 1009) + '\070'))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
yLFZp0KTSDdd = None
continue
elif nqlyuzJKYN3X == xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b111100 + 0o50) + chr(0b11001 + 0o114) + chr(99) + chr(0b10110 + 0o131) + '\x64' + chr(5096 - 4995))(chr(117) + chr(5389 - 5273) + '\x66' + '\055' + chr(2451 - 2395)):
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x1f\xa5f}\xe7\x1c\xc7\x98C\x99"'), chr(0b1010110 + 0o16) + '\x65' + '\143' + '\157' + '\x64' + chr(0b1100101))(chr(9923 - 9806) + chr(0b1110100) + '\146' + '\055' + '\x38'))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
yLFZp0KTSDdd = cyGlHNlV75NR
CGzUSvlyKBQD = XdowRbJKZWL9
b5O2oQPg9Xzq = XdowRbJKZWL9
elif nqlyuzJKYN3X == xafqLlk3kkUe(SXOLrMavuUCe(b'v'), chr(100) + chr(0b100111 + 0o76) + '\x63' + '\157' + chr(0b1100100) + '\145')(chr(13022 - 12905) + '\164' + chr(0b1100110) + '\x2d' + '\x38') and cyGlHNlV75NR == yLFZp0KTSDdd:
b5O2oQPg9Xzq += ehT0Px3KOsy9(chr(610 - 562) + '\x6f' + chr(1975 - 1926), 1419 - 1411)
else:
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x1f\xa5f}\xe7\x1c\xc7\x98C\x99"'), chr(3697 - 3597) + chr(101) + '\x63' + chr(0b1101111) + chr(7251 - 7151) + '\x65')(chr(11133 - 11016) + chr(0b1110100) + chr(102) + chr(0b1101 + 0o40) + chr(0b111000)))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
yLFZp0KTSDdd = cyGlHNlV75NR
CGzUSvlyKBQD = XdowRbJKZWL9
b5O2oQPg9Xzq = XdowRbJKZWL9
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'J\x1f\xa5f}\xe7\x1c\xc7\x98C\x99"'), '\x64' + chr(3668 - 3567) + '\143' + chr(0b1111 + 0o140) + '\144' + chr(0b1100101))(chr(117) + chr(0b1110 + 0o146) + chr(0b11 + 0o143) + '\055' + chr(56)))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
return YyaZ4tpXu4lf(aPSH2X7oF0wS)
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
iob1_tags_to_spans
|
def iob1_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to IOB1 tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e., those where "B-LABEL" is not preceded
by "I-LABEL" or "B-LABEL").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
classes_to_ignore = classes_to_ignore or []
spans: Set[Tuple[str, Tuple[int, int]]] = set()
span_start = 0
span_end = 0
active_conll_tag = None
prev_bio_tag = None
prev_conll_tag = None
for index, string_tag in enumerate(tag_sequence):
curr_bio_tag = string_tag[0]
curr_conll_tag = string_tag[2:]
if curr_bio_tag not in ["B", "I", "O"]:
raise InvalidTagSequence(tag_sequence)
if curr_bio_tag == "O" or curr_conll_tag in classes_to_ignore:
# The span has ended.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = None
elif _iob1_start_of_chunk(prev_bio_tag, prev_conll_tag,
curr_bio_tag, curr_conll_tag):
# We are entering a new span; reset indices
# and active tag to new span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = curr_conll_tag
span_start = index
span_end = index
else:
# bio_tag == "I" and curr_conll_tag == active_conll_tag
# We're continuing a span.
span_end += 1
prev_bio_tag = string_tag[0]
prev_conll_tag = string_tag[2:]
# Last token might have been a part of a valid span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
return list(spans)
|
python
|
def iob1_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to IOB1 tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e., those where "B-LABEL" is not preceded
by "I-LABEL" or "B-LABEL").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
classes_to_ignore = classes_to_ignore or []
spans: Set[Tuple[str, Tuple[int, int]]] = set()
span_start = 0
span_end = 0
active_conll_tag = None
prev_bio_tag = None
prev_conll_tag = None
for index, string_tag in enumerate(tag_sequence):
curr_bio_tag = string_tag[0]
curr_conll_tag = string_tag[2:]
if curr_bio_tag not in ["B", "I", "O"]:
raise InvalidTagSequence(tag_sequence)
if curr_bio_tag == "O" or curr_conll_tag in classes_to_ignore:
# The span has ended.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = None
elif _iob1_start_of_chunk(prev_bio_tag, prev_conll_tag,
curr_bio_tag, curr_conll_tag):
# We are entering a new span; reset indices
# and active tag to new span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
active_conll_tag = curr_conll_tag
span_start = index
span_end = index
else:
# bio_tag == "I" and curr_conll_tag == active_conll_tag
# We're continuing a span.
span_end += 1
prev_bio_tag = string_tag[0]
prev_conll_tag = string_tag[2:]
# Last token might have been a part of a valid span.
if active_conll_tag is not None:
spans.add((active_conll_tag, (span_start, span_end)))
return list(spans)
|
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] |
Given a sequence corresponding to IOB1 tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e., those where "B-LABEL" is not preceded
by "I-LABEL" or "B-LABEL").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
|
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"-",
"LABEL",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L142-L201
|
train
|
Given a sequence corresponding to IOB1 tags extracts spans from the sequence.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(5623 - 5512) + chr(407 - 357) + '\x33' + chr(0b110001 + 0o3), ord("\x08")), ehT0Px3KOsy9(chr(2029 - 1981) + '\157' + chr(0b10010 + 0o37) + '\066' + '\060', 42588 - 42580), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4392 - 4281) + chr(50) + chr(0b110011) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1133 - 1085) + chr(0b10111 + 0o130) + '\x33' + '\x33' + chr(1495 - 1443), 14421 - 14413), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1208 - 1158) + chr(52) + chr(0b101000 + 0o13), 35501 - 35493), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110100) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x30' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + chr(50) + chr(49) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + '\x33' + chr(0b110010), 21883 - 21875), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(84 - 33) + '\063' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101000 + 0o13) + chr(2331 - 2280) + chr(1875 - 1824), 8), ehT0Px3KOsy9(chr(2070 - 2022) + chr(5239 - 5128) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(293 - 182) + chr(0b110011) + '\067' + chr(0b11000 + 0o33), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\x30' + chr(1625 - 1576), ord("\x08")), ehT0Px3KOsy9(chr(395 - 347) + '\x6f' + '\x31' + chr(55) + chr(2655 - 2603), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1368 - 1317) + chr(0b110 + 0o54) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + chr(134 - 83) + '\x37' + chr(0b110111), 38377 - 38369), ehT0Px3KOsy9(chr(1835 - 1787) + chr(111) + '\066' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b101011 + 0o104) + chr(0b110011) + chr(2069 - 2021) + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(2844 - 2733) + chr(842 - 792) + chr(0b11 + 0o60) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11110 + 0o31) + chr(1828 - 1773), ord("\x08")), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + '\x31' + '\062' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(2261 - 2213) + chr(111) + chr(52) + chr(0b110100), 8), ehT0Px3KOsy9('\060' + '\157' + chr(856 - 801) + '\x33', 65458 - 65450), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(749 - 700) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(54) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5922 - 5811) + chr(0b101111 + 0o4) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1595 - 1484) + chr(50) + chr(51) + '\062', 0b1000), ehT0Px3KOsy9(chr(1318 - 1270) + '\x6f' + '\x33' + '\x31' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(2352 - 2241) + '\062' + '\066' + chr(0b1111 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + chr(0b110001) + '\066' + chr(0b10010 + 0o44), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(6651 - 6540) + chr(2152 - 2101) + '\x30' + chr(0b10110 + 0o36), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10784 - 10673) + chr(0b101101 + 0o4) + chr(2207 - 2153), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(51) + chr(433 - 381), 8), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b101100 + 0o12) + '\x33', 20416 - 20408), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(51) + chr(0b11000 + 0o31) + '\065', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11000 + 0o33) + chr(990 - 935) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6642 - 6531) + chr(360 - 311) + '\061' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + '\066' + chr(188 - 140), 47196 - 47188)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110101) + chr(99 - 51), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), '\x64' + '\x65' + chr(6226 - 6127) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1101100 + 0o11) + '\164' + '\x66' + chr(0b11101 + 0o20) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GqdjCr0_J4dY(utunRCPj8Imk, CwAp18FPCQND=None) -> qRxF7OQ0y39T[JWGWO_DJzASh]:
CwAp18FPCQND = CwAp18FPCQND or []
aPSH2X7oF0wS = MVEN8G6CxlvR()
CGzUSvlyKBQD = ehT0Px3KOsy9('\060' + chr(111) + chr(48), 0o10)
b5O2oQPg9Xzq = ehT0Px3KOsy9(chr(1784 - 1736) + chr(111) + chr(48), 8)
yLFZp0KTSDdd = None
TliSd_m0sUbU = None
Si1rS1kQYZAH = None
for (XdowRbJKZWL9, pMllmnQutflp) in YlkZvXL8qwsX(utunRCPj8Imk):
FNODlWdx5KQL = pMllmnQutflp[ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 8)]
DQ8LtNukkeHf = pMllmnQutflp[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50), 0o10):]
if FNODlWdx5KQL not in [xafqLlk3kkUe(SXOLrMavuUCe(b'\xde'), chr(4785 - 4685) + chr(667 - 566) + '\x63' + chr(0b10 + 0o155) + '\144' + '\x65')('\165' + chr(116) + '\x66' + chr(0b100100 + 0o11) + chr(0b101100 + 0o14)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5'), chr(0b1011000 + 0o14) + '\x65' + chr(0b1001100 + 0o27) + chr(0b1101111) + chr(100) + chr(0b10101 + 0o120))(chr(7529 - 7412) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b1011 + 0o55)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(7053 - 6953) + '\145' + '\x63' + chr(3571 - 3460) + '\x64' + chr(0b1100010 + 0o3))('\x75' + '\x74' + chr(5951 - 5849) + chr(0b101101) + chr(56))]:
raise WPN1tW8jgnXd(utunRCPj8Imk)
if FNODlWdx5KQL == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3'), chr(0b1100100) + chr(0b1001101 + 0o30) + chr(99) + chr(10854 - 10743) + chr(7297 - 7197) + chr(0b1001000 + 0o35))(chr(0b1110011 + 0o2) + chr(0b1110100) + '\146' + '\x2d' + '\x38') or DQ8LtNukkeHf in CwAp18FPCQND:
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9:\xaf\xad\x9aG\x81\xbd@z\x89\xe8'), '\x64' + chr(246 - 145) + chr(0b1011011 + 0o10) + '\157' + '\144' + chr(0b11100 + 0o111))(chr(0b1001100 + 0o51) + '\164' + chr(102) + chr(282 - 237) + chr(0b100100 + 0o24)))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
yLFZp0KTSDdd = None
elif ZmFycLFm5Va5(TliSd_m0sUbU, Si1rS1kQYZAH, FNODlWdx5KQL, DQ8LtNukkeHf):
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9:\xaf\xad\x9aG\x81\xbd@z\x89\xe8'), chr(0b1100100) + chr(8644 - 8543) + chr(2017 - 1918) + '\x6f' + chr(0b111000 + 0o54) + chr(0b1100101))(chr(0b111010 + 0o73) + '\164' + chr(102) + chr(0b1000 + 0o45) + '\x38'))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
yLFZp0KTSDdd = DQ8LtNukkeHf
CGzUSvlyKBQD = XdowRbJKZWL9
b5O2oQPg9Xzq = XdowRbJKZWL9
else:
b5O2oQPg9Xzq += ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100001 + 0o20), ord("\x08"))
TliSd_m0sUbU = pMllmnQutflp[ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(48), 8)]
Si1rS1kQYZAH = pMllmnQutflp[ehT0Px3KOsy9(chr(1591 - 1543) + chr(0b111001 + 0o66) + '\062', 8):]
if yLFZp0KTSDdd is not None:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe9:\xaf\xad\x9aG\x81\xbd@z\x89\xe8'), '\144' + chr(101) + chr(99) + chr(111) + chr(0b1100100) + '\145')('\165' + '\164' + '\x66' + '\x2d' + '\070'))((yLFZp0KTSDdd, (CGzUSvlyKBQD, b5O2oQPg9Xzq)))
return YyaZ4tpXu4lf(aPSH2X7oF0wS)
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
bioul_tags_to_spans
|
def bioul_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BIOUL tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are not allowed and will raise ``InvalidTagSequence``.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "I", "O", "U", and "L").
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in BIOUL, e.g. ["B-PER", "L-PER", "O"].
classes_to_ignore : ``List[str]``, optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : ``List[TypedStringSpan]``
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
"""
spans = []
classes_to_ignore = classes_to_ignore or []
index = 0
while index < len(tag_sequence):
label = tag_sequence[index]
if label[0] == 'U':
spans.append((label.partition('-')[2], (index, index)))
elif label[0] == 'B':
start = index
while label[0] != 'L':
index += 1
if index >= len(tag_sequence):
raise InvalidTagSequence(tag_sequence)
label = tag_sequence[index]
if not (label[0] == 'I' or label[0] == 'L'):
raise InvalidTagSequence(tag_sequence)
spans.append((label.partition('-')[2], (start, index)))
else:
if label != 'O':
raise InvalidTagSequence(tag_sequence)
index += 1
return [span for span in spans if span[0] not in classes_to_ignore]
|
python
|
def bioul_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BIOUL tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are not allowed and will raise ``InvalidTagSequence``.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "I", "O", "U", and "L").
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in BIOUL, e.g. ["B-PER", "L-PER", "O"].
classes_to_ignore : ``List[str]``, optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : ``List[TypedStringSpan]``
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
"""
spans = []
classes_to_ignore = classes_to_ignore or []
index = 0
while index < len(tag_sequence):
label = tag_sequence[index]
if label[0] == 'U':
spans.append((label.partition('-')[2], (index, index)))
elif label[0] == 'B':
start = index
while label[0] != 'L':
index += 1
if index >= len(tag_sequence):
raise InvalidTagSequence(tag_sequence)
label = tag_sequence[index]
if not (label[0] == 'I' or label[0] == 'L'):
raise InvalidTagSequence(tag_sequence)
spans.append((label.partition('-')[2], (start, index)))
else:
if label != 'O':
raise InvalidTagSequence(tag_sequence)
index += 1
return [span for span in spans if span[0] not in classes_to_ignore]
|
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] |
Given a sequence corresponding to BIOUL tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are not allowed and will raise ``InvalidTagSequence``.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "I", "O", "U", and "L").
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in BIOUL, e.g. ["B-PER", "L-PER", "O"].
classes_to_ignore : ``List[str]``, optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : ``List[TypedStringSpan]``
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L217-L260
|
train
|
Given a sequence corresponding to BIOUL tags extracts spans from the sequence.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10101 + 0o33) + '\x6f' + chr(0b110010) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1795 - 1745) + chr(0b11110 + 0o25) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(49) + '\x34' + chr(0b101101 + 0o5), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(770 - 721) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(865 - 817) + chr(111) + '\063' + chr(48) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1654 - 1603) + chr(0b1000 + 0o50) + chr(0b11010 + 0o30), 0o10), ehT0Px3KOsy9('\060' + chr(4450 - 4339) + chr(50) + chr(49), 53592 - 53584), ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(51) + chr(48) + '\065', 50848 - 50840), ehT0Px3KOsy9(chr(2118 - 2070) + chr(0b1101101 + 0o2) + '\x32' + chr(0b110011) + chr(919 - 869), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + chr(50) + chr(0b0 + 0o63), 0b1000), ehT0Px3KOsy9('\060' + chr(7949 - 7838) + '\x33' + chr(1808 - 1755) + chr(1962 - 1912), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(10335 - 10224) + chr(0b110011) + chr(727 - 672) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10671 - 10560) + '\062' + '\x34' + chr(1981 - 1929), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2388 - 2339) + chr(54) + chr(0b11011 + 0o26), 0b1000), ehT0Px3KOsy9(chr(217 - 169) + chr(111) + chr(1706 - 1655) + chr(1884 - 1833) + chr(0b110000), 33345 - 33337), ehT0Px3KOsy9(chr(2001 - 1953) + chr(12191 - 12080) + chr(49) + '\x34' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(0b110011) + chr(50) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\060' + chr(8795 - 8684) + chr(0b101101 + 0o6) + chr(0b110100) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b110110) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b1100 + 0o47) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3405 - 3294) + chr(642 - 593) + chr(1397 - 1344) + chr(52), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b110111) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(2297 - 2247) + '\064', 52253 - 52245), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(10943 - 10832) + chr(0b110010) + '\061' + chr(0b110110), 45999 - 45991), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(9553 - 9442) + '\x31' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\061' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(456 - 405) + chr(373 - 324) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(2115 - 2065) + chr(766 - 718), 0b1000), ehT0Px3KOsy9(chr(85 - 37) + chr(0b11010 + 0o125) + chr(0b1100 + 0o47) + chr(1055 - 1003) + chr(0b10000 + 0o40), 56954 - 56946), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110000) + chr(0b110010 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\064' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(0b110001 + 0o3), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(2404 - 2351) + chr(2051 - 2002), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101101 + 0o2) + '\x31' + chr(148 - 96) + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(11545 - 11434) + chr(1783 - 1734) + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\060' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + chr(49) + chr(0b110111) + '\065', 15066 - 15058), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o1) + chr(0b110101) + chr(2077 - 2023), 54441 - 54433), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(55) + chr(2157 - 2104), 8), ehT0Px3KOsy9(chr(2135 - 2087) + chr(0b1101111) + '\063' + chr(0b110010) + '\065', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + '\065' + '\060', 30320 - 30312)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbb'), chr(5608 - 5508) + '\x65' + '\143' + chr(10176 - 10065) + chr(0b1100100) + chr(9719 - 9618))(chr(0b10110 + 0o137) + '\164' + chr(7437 - 7335) + chr(0b101101) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ny_wXMrDbXuP(utunRCPj8Imk, CwAp18FPCQND=None) -> qRxF7OQ0y39T[JWGWO_DJzASh]:
aPSH2X7oF0wS = []
CwAp18FPCQND = CwAp18FPCQND or []
XdowRbJKZWL9 = ehT0Px3KOsy9('\060' + chr(111) + chr(0b1100 + 0o44), 0o10)
while XdowRbJKZWL9 < c2A0yzQpDQB3(utunRCPj8Imk):
TRUOLFLuD08x = utunRCPj8Imk[XdowRbJKZWL9]
if TRUOLFLuD08x[ehT0Px3KOsy9(chr(48) + '\157' + chr(775 - 727), 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0'), chr(0b1100100) + chr(101) + chr(6585 - 6486) + '\x6f' + chr(100) + chr(0b1000011 + 0o42))(chr(117) + '\164' + chr(0b1010100 + 0o22) + chr(45) + '\070'):
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xe8\x12*\xaf\xa6'), chr(0b1001010 + 0o32) + chr(0b1100101) + '\x63' + chr(0b1000010 + 0o55) + chr(7165 - 7065) + chr(953 - 852))(chr(11693 - 11576) + '\x74' + chr(0b1100110) + chr(0b100011 + 0o12) + chr(56)))((xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xf9\x10;\xa8\xb6x\xaa\xf4'), '\144' + chr(0b1100101) + chr(0b101111 + 0o64) + chr(0b11111 + 0o120) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(851 - 749) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), '\144' + chr(4181 - 4080) + '\143' + chr(0b1101111) + '\144' + '\x65')('\x75' + chr(12690 - 12574) + chr(0b11001 + 0o115) + '\x2d' + '\x38'))[ehT0Px3KOsy9(chr(48) + chr(5447 - 5336) + '\062', ord("\x08"))], (XdowRbJKZWL9, XdowRbJKZWL9)))
elif TRUOLFLuD08x[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(0b1001010 + 0o32) + chr(0b1100101) + chr(99) + chr(0b110000 + 0o77) + chr(5057 - 4957) + '\145')(chr(117) + '\x74' + chr(102) + chr(1186 - 1141) + '\x38'):
avRbFsnfJxQj = XdowRbJKZWL9
while TRUOLFLuD08x[ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b111110 + 0o61) + '\x30', 8)] != xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(9217 - 9117) + '\x65' + chr(7439 - 7340) + chr(0b11101 + 0o122) + chr(100) + chr(1881 - 1780))(chr(0b1110101) + chr(116) + chr(102) + chr(1365 - 1320) + chr(0b10011 + 0o45)):
XdowRbJKZWL9 += ehT0Px3KOsy9('\060' + chr(111) + chr(49), 32769 - 32761)
if XdowRbJKZWL9 >= c2A0yzQpDQB3(utunRCPj8Imk):
raise WPN1tW8jgnXd(utunRCPj8Imk)
TRUOLFLuD08x = utunRCPj8Imk[XdowRbJKZWL9]
if not (TRUOLFLuD08x[ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1110 + 0o42), 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xdc'), chr(0b1010110 + 0o16) + chr(0b1100101) + chr(8178 - 8079) + chr(271 - 160) + chr(100) + chr(101))(chr(4165 - 4048) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)) or TRUOLFLuD08x[ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(8911 - 8800) + '\060', 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(6544 - 6444) + chr(0b1001 + 0o134) + chr(99) + '\x6f' + '\144' + '\145')(chr(117) + '\x74' + chr(9415 - 9313) + '\055' + chr(2429 - 2373))):
raise WPN1tW8jgnXd(utunRCPj8Imk)
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4\xe8\x12*\xaf\xa6'), chr(100) + chr(101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(4429 - 4328))(chr(0b11101 + 0o130) + chr(0b1110100) + '\146' + '\055' + chr(56)))((xafqLlk3kkUe(TRUOLFLuD08x, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5\xf9\x10;\xa8\xb6x\xaa\xf4'), '\144' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(0b1010 + 0o152) + '\146' + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8'), chr(100) + '\145' + '\143' + chr(0b11010 + 0o125) + chr(0b1011100 + 0o10) + chr(7386 - 7285))(chr(117) + '\x74' + '\146' + chr(0b101101) + '\070'))[ehT0Px3KOsy9(chr(0b110000) + chr(167 - 56) + chr(50), 8)], (avRbFsnfJxQj, XdowRbJKZWL9)))
elif TRUOLFLuD08x != xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(0b1100100) + chr(4325 - 4224) + chr(207 - 108) + chr(0b1100100 + 0o13) + chr(0b1100100) + chr(0b111010 + 0o53))('\x75' + '\x74' + chr(102) + '\x2d' + chr(0b100100 + 0o24)):
raise WPN1tW8jgnXd(utunRCPj8Imk)
XdowRbJKZWL9 += ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8)
return [cM7fEShWxtgh for cM7fEShWxtgh in aPSH2X7oF0wS if cM7fEShWxtgh[ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(48), 8)] not in CwAp18FPCQND]
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
to_bioul
|
def to_bioul(tag_sequence: List[str], encoding: str = "IOB1") -> List[str]:
"""
Given a tag sequence encoded with IOB1 labels, recode to BIOUL.
In the IOB1 scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of span immediately following another
span of the same type.
In the BIO scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of a span.
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in IOB1, e.g. ["I-PER", "I-PER", "O"].
encoding : `str`, optional, (default = ``IOB1``).
The encoding type to convert from. Must be either "IOB1" or "BIO".
Returns
-------
bioul_sequence: ``List[str]``
The tag sequence encoded in IOB1, e.g. ["B-PER", "L-PER", "O"].
"""
if not encoding in {"IOB1", "BIO"}:
raise ConfigurationError(f"Invalid encoding {encoding} passed to 'to_bioul'.")
# pylint: disable=len-as-condition
def replace_label(full_label, new_label):
# example: full_label = 'I-PER', new_label = 'U', returns 'U-PER'
parts = list(full_label.partition('-'))
parts[0] = new_label
return ''.join(parts)
def pop_replace_append(in_stack, out_stack, new_label):
# pop the last element from in_stack, replace the label, append
# to out_stack
tag = in_stack.pop()
new_tag = replace_label(tag, new_label)
out_stack.append(new_tag)
def process_stack(stack, out_stack):
# process a stack of labels, add them to out_stack
if len(stack) == 1:
# just a U token
pop_replace_append(stack, out_stack, 'U')
else:
# need to code as BIL
recoded_stack = []
pop_replace_append(stack, recoded_stack, 'L')
while len(stack) >= 2:
pop_replace_append(stack, recoded_stack, 'I')
pop_replace_append(stack, recoded_stack, 'B')
recoded_stack.reverse()
out_stack.extend(recoded_stack)
# Process the tag_sequence one tag at a time, adding spans to a stack,
# then recode them.
bioul_sequence = []
stack: List[str] = []
for label in tag_sequence:
# need to make a dict like
# token = {'token': 'Matt', "labels": {'conll2003': "B-PER"}
# 'gold': 'I-PER'}
# where 'gold' is the raw value from the CoNLL data set
if label == 'O' and len(stack) == 0:
bioul_sequence.append(label)
elif label == 'O' and len(stack) > 0:
# need to process the entries on the stack plus this one
process_stack(stack, bioul_sequence)
bioul_sequence.append(label)
elif label[0] == 'I':
# check if the previous type is the same as this one
# if it is then append to stack
# otherwise this start a new entity if the type
# is different
if len(stack) == 0:
if encoding == "BIO":
raise InvalidTagSequence(tag_sequence)
stack.append(label)
else:
# check if the previous type is the same as this one
this_type = label.partition('-')[2]
prev_type = stack[-1].partition('-')[2]
if this_type == prev_type:
stack.append(label)
else:
if encoding == "BIO":
raise InvalidTagSequence(tag_sequence)
# a new entity
process_stack(stack, bioul_sequence)
stack.append(label)
elif label[0] == 'B':
if len(stack) > 0:
process_stack(stack, bioul_sequence)
stack.append(label)
else:
raise InvalidTagSequence(tag_sequence)
# process the stack
if len(stack) > 0:
process_stack(stack, bioul_sequence)
return bioul_sequence
|
python
|
def to_bioul(tag_sequence: List[str], encoding: str = "IOB1") -> List[str]:
"""
Given a tag sequence encoded with IOB1 labels, recode to BIOUL.
In the IOB1 scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of span immediately following another
span of the same type.
In the BIO scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of a span.
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in IOB1, e.g. ["I-PER", "I-PER", "O"].
encoding : `str`, optional, (default = ``IOB1``).
The encoding type to convert from. Must be either "IOB1" or "BIO".
Returns
-------
bioul_sequence: ``List[str]``
The tag sequence encoded in IOB1, e.g. ["B-PER", "L-PER", "O"].
"""
if not encoding in {"IOB1", "BIO"}:
raise ConfigurationError(f"Invalid encoding {encoding} passed to 'to_bioul'.")
# pylint: disable=len-as-condition
def replace_label(full_label, new_label):
# example: full_label = 'I-PER', new_label = 'U', returns 'U-PER'
parts = list(full_label.partition('-'))
parts[0] = new_label
return ''.join(parts)
def pop_replace_append(in_stack, out_stack, new_label):
# pop the last element from in_stack, replace the label, append
# to out_stack
tag = in_stack.pop()
new_tag = replace_label(tag, new_label)
out_stack.append(new_tag)
def process_stack(stack, out_stack):
# process a stack of labels, add them to out_stack
if len(stack) == 1:
# just a U token
pop_replace_append(stack, out_stack, 'U')
else:
# need to code as BIL
recoded_stack = []
pop_replace_append(stack, recoded_stack, 'L')
while len(stack) >= 2:
pop_replace_append(stack, recoded_stack, 'I')
pop_replace_append(stack, recoded_stack, 'B')
recoded_stack.reverse()
out_stack.extend(recoded_stack)
# Process the tag_sequence one tag at a time, adding spans to a stack,
# then recode them.
bioul_sequence = []
stack: List[str] = []
for label in tag_sequence:
# need to make a dict like
# token = {'token': 'Matt', "labels": {'conll2003': "B-PER"}
# 'gold': 'I-PER'}
# where 'gold' is the raw value from the CoNLL data set
if label == 'O' and len(stack) == 0:
bioul_sequence.append(label)
elif label == 'O' and len(stack) > 0:
# need to process the entries on the stack plus this one
process_stack(stack, bioul_sequence)
bioul_sequence.append(label)
elif label[0] == 'I':
# check if the previous type is the same as this one
# if it is then append to stack
# otherwise this start a new entity if the type
# is different
if len(stack) == 0:
if encoding == "BIO":
raise InvalidTagSequence(tag_sequence)
stack.append(label)
else:
# check if the previous type is the same as this one
this_type = label.partition('-')[2]
prev_type = stack[-1].partition('-')[2]
if this_type == prev_type:
stack.append(label)
else:
if encoding == "BIO":
raise InvalidTagSequence(tag_sequence)
# a new entity
process_stack(stack, bioul_sequence)
stack.append(label)
elif label[0] == 'B':
if len(stack) > 0:
process_stack(stack, bioul_sequence)
stack.append(label)
else:
raise InvalidTagSequence(tag_sequence)
# process the stack
if len(stack) > 0:
process_stack(stack, bioul_sequence)
return bioul_sequence
|
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] |
Given a tag sequence encoded with IOB1 labels, recode to BIOUL.
In the IOB1 scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of span immediately following another
span of the same type.
In the BIO scheme, I is a token inside a span, O is a token outside
a span and B is the beginning of a span.
Parameters
----------
tag_sequence : ``List[str]``, required.
The tag sequence encoded in IOB1, e.g. ["I-PER", "I-PER", "O"].
encoding : `str`, optional, (default = ``IOB1``).
The encoding type to convert from. Must be either "IOB1" or "BIO".
Returns
-------
bioul_sequence: ``List[str]``
The tag sequence encoded in IOB1, e.g. ["B-PER", "L-PER", "O"].
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L267-L373
|
train
|
Convert a tag sequence encoded with IOB1 labels to BIOUL.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(51) + chr(1787 - 1735) + chr(0b1001 + 0o53), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101011 + 0o10) + chr(424 - 370) + chr(0b101 + 0o56), 19225 - 19217), ehT0Px3KOsy9('\060' + chr(10954 - 10843) + '\x36' + chr(1216 - 1168), ord("\x08")), ehT0Px3KOsy9(chr(2133 - 2085) + chr(0b1101111) + chr(1804 - 1755) + '\061' + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110 + 0o54) + '\064' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\x31' + chr(0b10001 + 0o37) + chr(280 - 228), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110001) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(132 - 82) + chr(0b110010) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(2174 - 2126) + '\x6f' + '\x32' + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\061' + chr(0b101 + 0o60), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(48) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(49) + '\x35' + chr(0b10101 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11011 + 0o124) + '\061' + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\064' + '\x35', 10668 - 10660), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(2261 - 2211) + '\x33' + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9(chr(1966 - 1918) + chr(111) + chr(0b11101 + 0o26), 53453 - 53445), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(0b110111) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1010100 + 0o33) + chr(0b110011) + chr(51) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11373 - 11262) + '\061' + chr(2494 - 2442) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + '\062' + chr(0b110010) + chr(0b110010), 8), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(53) + chr(663 - 615), 0o10), ehT0Px3KOsy9(chr(1630 - 1582) + '\157' + chr(0b110010) + chr(0b110010) + '\x32', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1027 - 978) + chr(0b110111) + chr(52), 61449 - 61441), ehT0Px3KOsy9(chr(1327 - 1279) + chr(111) + chr(0b10 + 0o60) + '\x35' + chr(1827 - 1779), ord("\x08")), ehT0Px3KOsy9(chr(338 - 290) + '\x6f' + '\x32' + chr(55) + '\x33', 47123 - 47115), ehT0Px3KOsy9(chr(1370 - 1322) + chr(2273 - 2162) + '\x35' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100011 + 0o20) + chr(951 - 902), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110000) + '\066', 0o10), ehT0Px3KOsy9(chr(216 - 168) + chr(9861 - 9750) + chr(0b110110) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\061' + chr(0b101101 + 0o7), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(52), 13276 - 13268), ehT0Px3KOsy9(chr(48) + chr(3244 - 3133) + chr(0b100110 + 0o15) + '\066' + chr(48), 0b1000), ehT0Px3KOsy9(chr(283 - 235) + chr(0b1101111) + chr(49) + chr(1093 - 1042), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x37' + chr(2011 - 1962), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + '\x32' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(68 - 20) + '\157' + chr(0b110010) + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + chr(517 - 468), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10110 + 0o131) + '\x33' + chr(0b110101) + '\x33', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9332 - 9221) + chr(2316 - 2263) + chr(1445 - 1397), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xca'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(4575 - 4474))(chr(117) + chr(0b111001 + 0o73) + chr(10068 - 9966) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vpFIyjxeWBLi(utunRCPj8Imk, _pPd9lb_XZ4K=xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xbcr~'), '\x64' + chr(0b1100101) + '\x63' + chr(1981 - 1870) + chr(100) + chr(6932 - 6831))(chr(0b1110101) + '\x74' + '\146' + '\x2d' + chr(0b111000))) -> qRxF7OQ0y39T[M8_cKLkHVB2V]:
if _pPd9lb_XZ4K not in {xafqLlk3kkUe(SXOLrMavuUCe(b'\xad\xbcr~'), chr(5773 - 5673) + chr(288 - 187) + chr(99) + chr(1091 - 980) + chr(0b1010 + 0o132) + '\145')(chr(117) + '\x74' + chr(102) + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xba\x7f'), '\144' + chr(101) + chr(0b1100011) + chr(8482 - 8371) + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(8714 - 8612) + chr(0b101101) + chr(56))}:
raise h0iXqtiKVeKg(f"Invalid encoding {_pPd9lb_XZ4K} passed to 'to_bioul'.")
def DOAchFb8kQQU(xRNl7UJ5juwh, jp5pe2X662PZ):
gIfWK5W_pmM4 = YyaZ4tpXu4lf(xRNl7UJ5juwh.partition(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), '\x64' + chr(0b110000 + 0o65) + chr(0b1100011) + chr(111) + chr(7678 - 7578) + chr(0b1001000 + 0o35))(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(246 - 190))))
gIfWK5W_pmM4[ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(730 - 682), 14656 - 14648)] = jp5pe2X662PZ
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(0b10111 + 0o115) + '\145' + chr(0b10100 + 0o117) + '\x6f' + chr(2495 - 2395) + chr(9644 - 9543))(chr(117) + chr(11540 - 11424) + '\x66' + chr(1093 - 1048) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\x9cY!'), chr(0b1100100) + chr(101) + chr(9750 - 9651) + '\x6f' + '\144' + chr(4785 - 4684))(chr(0b1110101) + chr(8206 - 8090) + chr(7503 - 7401) + chr(0b10011 + 0o32) + '\070'))(gIfWK5W_pmM4)
def kHFQLFFb7Dlm(SWLGJ4jwf8y2, hvArimoLy6p1, jp5pe2X662PZ):
CPdEsc5O1sf7 = SWLGJ4jwf8y2.pop()
Jwk4GcfLGi2l = DOAchFb8kQQU(CPdEsc5O1sf7, jp5pe2X662PZ)
xafqLlk3kkUe(hvArimoLy6p1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), '\144' + '\145' + chr(99) + '\157' + '\144' + '\x65')('\x75' + '\x74' + chr(7319 - 7217) + chr(45) + chr(1529 - 1473)))(Jwk4GcfLGi2l)
def SmzoQkSWE36g(rFoCQMjVYqWa, hvArimoLy6p1):
if c2A0yzQpDQB3(rFoCQMjVYqWa) == ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 0o10):
kHFQLFFb7Dlm(rFoCQMjVYqWa, hvArimoLy6p1, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1'), '\144' + chr(0b101010 + 0o73) + chr(0b111111 + 0o44) + '\x6f' + chr(0b1001110 + 0o26) + chr(3048 - 2947))(chr(0b1010101 + 0o40) + chr(0b11111 + 0o125) + '\146' + chr(45) + chr(0b101 + 0o63)))
else:
LEVAWk5khDa0 = []
kHFQLFFb7Dlm(rFoCQMjVYqWa, LEVAWk5khDa0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(100) + chr(0b1100101) + '\x63' + '\157' + chr(0b1100100) + chr(8862 - 8761))(chr(7013 - 6896) + chr(0b1110100) + '\146' + chr(1694 - 1649) + '\x38'))
while c2A0yzQpDQB3(rFoCQMjVYqWa) >= ehT0Px3KOsy9('\060' + chr(0b1100000 + 0o17) + chr(0b110010), 0o10):
kHFQLFFb7Dlm(rFoCQMjVYqWa, LEVAWk5khDa0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), '\x64' + chr(3212 - 3111) + chr(2556 - 2457) + chr(7668 - 7557) + chr(6032 - 5932) + '\145')(chr(0b1100 + 0o151) + chr(9189 - 9073) + '\x66' + chr(0b101101) + '\x38'))
kHFQLFFb7Dlm(rFoCQMjVYqWa, LEVAWk5khDa0, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), '\x64' + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b0 + 0o145))('\x75' + chr(4841 - 4725) + '\146' + chr(0b1111 + 0o36) + chr(0b111000)))
xafqLlk3kkUe(LEVAWk5khDa0, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e\xa3x6\xc9\rRY\xb1\xef\xdb\xd2'), chr(0b1111 + 0o125) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(12880 - 12763) + chr(12094 - 11978) + chr(0b1100110) + chr(45) + chr(241 - 185)))()
xafqLlk3kkUe(hvArimoLy6p1, xafqLlk3kkUe(SXOLrMavuUCe(b'\x81\x8bD*\xc8 '), chr(492 - 392) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + '\x65')('\165' + chr(116) + '\146' + '\055' + chr(56)))(LEVAWk5khDa0)
qFB4Kcv_2IeA = []
rFoCQMjVYqWa = []
for TRUOLFLuD08x in utunRCPj8Imk:
if TRUOLFLuD08x == xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), '\144' + '\x65' + '\x63' + chr(8112 - 8001) + chr(6184 - 6084) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + '\055' + '\070') and c2A0yzQpDQB3(rFoCQMjVYqWa) == ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + chr(0b110000), 8):
xafqLlk3kkUe(qFB4Kcv_2IeA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), chr(0b1000110 + 0o36) + chr(270 - 169) + chr(99) + chr(0b1010000 + 0o37) + chr(3819 - 3719) + chr(6877 - 6776))('\x75' + chr(116) + chr(0b110111 + 0o57) + chr(1030 - 985) + chr(1716 - 1660)))(TRUOLFLuD08x)
elif TRUOLFLuD08x == xafqLlk3kkUe(SXOLrMavuUCe(b'\xab'), chr(100) + chr(3131 - 3030) + '\x63' + '\157' + chr(6332 - 6232) + '\145')('\x75' + chr(116) + '\x66' + chr(0b1011 + 0o42) + chr(0b111000 + 0o0)) and c2A0yzQpDQB3(rFoCQMjVYqWa) > ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8):
SmzoQkSWE36g(rFoCQMjVYqWa, qFB4Kcv_2IeA)
xafqLlk3kkUe(qFB4Kcv_2IeA, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), '\x64' + chr(101) + chr(0b1100011) + '\157' + '\x64' + '\x65')(chr(0b1101000 + 0o15) + chr(12582 - 12466) + chr(0b1100110) + chr(0b101101) + '\x38'))(TRUOLFLuD08x)
elif TRUOLFLuD08x[ehT0Px3KOsy9(chr(247 - 199) + chr(0b101011 + 0o104) + '\060', 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xad'), chr(4767 - 4667) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)):
if c2A0yzQpDQB3(rFoCQMjVYqWa) == ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110000 + 0o0), 8):
if _pPd9lb_XZ4K == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xba\x7f'), '\x64' + '\145' + chr(0b100110 + 0o75) + chr(0b1101111) + chr(6927 - 6827) + chr(0b11111 + 0o106))(chr(117) + chr(0b1110100) + '\146' + chr(0b101101) + chr(2591 - 2535)):
raise WPN1tW8jgnXd(utunRCPj8Imk)
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), chr(0b1100001 + 0o3) + '\x65' + '\143' + '\x6f' + '\144' + chr(4702 - 4601))(chr(12998 - 12881) + chr(0b1100010 + 0o22) + chr(0b1100110) + chr(0b101101) + '\x38'))(TRUOLFLuD08x)
else:
cFpWZ9oapuqT = TRUOLFLuD08x.partition(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), '\144' + '\145' + '\x63' + chr(111) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1100111 + 0o15) + '\x66' + chr(0b10 + 0o53) + chr(0b11 + 0o65)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1001000 + 0o47) + '\062', 8)]
VM8L8mwylnOO = rFoCQMjVYqWa[-ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 8)].partition(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9'), chr(0b1100100) + '\x65' + '\143' + chr(111) + chr(0b1101 + 0o127) + chr(6310 - 6209))(chr(117) + chr(116) + '\x66' + '\055' + chr(1525 - 1469)))[ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b101111 + 0o3), 8)]
if cFpWZ9oapuqT == VM8L8mwylnOO:
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), chr(3046 - 2946) + chr(3781 - 3680) + chr(99) + chr(111) + chr(0b1100100) + '\x65')('\x75' + '\164' + '\x66' + chr(0b100110 + 0o7) + chr(0b111000)))(TRUOLFLuD08x)
else:
if _pPd9lb_XZ4K == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6\xba\x7f'), chr(100) + '\145' + chr(2160 - 2061) + '\x6f' + chr(8475 - 8375) + '\x65')('\165' + '\x74' + '\x66' + chr(0b101101) + '\x38'):
raise WPN1tW8jgnXd(utunRCPj8Imk)
SmzoQkSWE36g(rFoCQMjVYqWa, qFB4Kcv_2IeA)
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), chr(100) + chr(101) + chr(1108 - 1009) + chr(0b1101111) + chr(100) + chr(0b10000 + 0o125))(chr(12653 - 12536) + chr(7051 - 6935) + chr(9840 - 9738) + chr(0b100100 + 0o11) + chr(0b10110 + 0o42)))(TRUOLFLuD08x)
elif TRUOLFLuD08x[ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(48), 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), chr(0b1100100) + chr(0b1011000 + 0o15) + '\x63' + chr(7922 - 7811) + '\144' + chr(0b101001 + 0o74))(chr(0b1010010 + 0o43) + '\164' + chr(0b1100110) + chr(0b101101) + chr(0b101101 + 0o13)):
if c2A0yzQpDQB3(rFoCQMjVYqWa) > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(48), 8):
SmzoQkSWE36g(rFoCQMjVYqWa, qFB4Kcv_2IeA)
xafqLlk3kkUe(rFoCQMjVYqWa, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85\x83@*\xc8 '), chr(0b1100100) + chr(0b1100101) + '\143' + '\157' + chr(0b1100100) + chr(0b11101 + 0o110))('\x75' + chr(0b1110100) + chr(5397 - 5295) + '\055' + chr(0b111000)))(TRUOLFLuD08x)
else:
raise WPN1tW8jgnXd(utunRCPj8Imk)
if c2A0yzQpDQB3(rFoCQMjVYqWa) > ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000), 8):
SmzoQkSWE36g(rFoCQMjVYqWa, qFB4Kcv_2IeA)
return qFB4Kcv_2IeA
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_utils/span_utils.py
|
bmes_tags_to_spans
|
def bmes_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BMES tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "M", "E" and "S").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
def extract_bmes_tag_label(text):
bmes_tag = text[0]
label = text[2:]
return bmes_tag, label
spans: List[Tuple[str, List[int]]] = []
prev_bmes_tag: Optional[str] = None
for index, tag in enumerate(tag_sequence):
bmes_tag, label = extract_bmes_tag_label(tag)
if bmes_tag in ('B', 'S'):
# Regardless of tag, we start a new span when reaching B & S.
spans.append(
(label, [index, index])
)
elif bmes_tag in ('M', 'E') and prev_bmes_tag in ('B', 'M') and spans[-1][0] == label:
# Only expand the span if
# 1. Valid transition: B/M -> M/E.
# 2. Matched label.
spans[-1][1][1] = index
else:
# Best effort split for invalid span.
spans.append(
(label, [index, index])
)
# update previous BMES tag.
prev_bmes_tag = bmes_tag
classes_to_ignore = classes_to_ignore or []
return [
# to tuple.
(span[0], (span[1][0], span[1][1]))
for span in spans
if span[0] not in classes_to_ignore
]
|
python
|
def bmes_tags_to_spans(tag_sequence: List[str],
classes_to_ignore: List[str] = None) -> List[TypedStringSpan]:
"""
Given a sequence corresponding to BMES tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "M", "E" and "S").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
"""
def extract_bmes_tag_label(text):
bmes_tag = text[0]
label = text[2:]
return bmes_tag, label
spans: List[Tuple[str, List[int]]] = []
prev_bmes_tag: Optional[str] = None
for index, tag in enumerate(tag_sequence):
bmes_tag, label = extract_bmes_tag_label(tag)
if bmes_tag in ('B', 'S'):
# Regardless of tag, we start a new span when reaching B & S.
spans.append(
(label, [index, index])
)
elif bmes_tag in ('M', 'E') and prev_bmes_tag in ('B', 'M') and spans[-1][0] == label:
# Only expand the span if
# 1. Valid transition: B/M -> M/E.
# 2. Matched label.
spans[-1][1][1] = index
else:
# Best effort split for invalid span.
spans.append(
(label, [index, index])
)
# update previous BMES tag.
prev_bmes_tag = bmes_tag
classes_to_ignore = classes_to_ignore or []
return [
# to tuple.
(span[0], (span[1][0], span[1][1]))
for span in spans
if span[0] not in classes_to_ignore
]
|
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Given a sequence corresponding to BMES tags, extracts spans.
Spans are inclusive and can be of zero length, representing a single word span.
Ill-formed spans are also included (i.e those which do not start with a "B-LABEL"),
as otherwise it is possible to get a perfect precision score whilst still predicting
ill-formed spans in addition to the correct spans.
This function works properly when the spans are unlabeled (i.e., your labels are
simply "B", "M", "E" and "S").
Parameters
----------
tag_sequence : List[str], required.
The integer class labels for a sequence.
classes_to_ignore : List[str], optional (default = None).
A list of string class labels `excluding` the bio tag
which should be ignored when extracting spans.
Returns
-------
spans : List[TypedStringSpan]
The typed, extracted spans from the sequence, in the format (label, (span_start, span_end)).
Note that the label `does not` contain any BIO tag prefixes.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_utils/span_utils.py#L376-L435
|
train
|
Given a sequence corresponding to BMES tags extracts spans from the BMES tag and returns a list of typed string spans.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(4170 - 4059) + '\061' + chr(570 - 518) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101110 + 0o1) + '\x33' + '\x33' + chr(330 - 280), 14869 - 14861), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(12124 - 12013) + chr(53) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b110010) + '\061' + chr(0b100001 + 0o17), 51025 - 51017), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(0b10011 + 0o36) + '\060', 41034 - 41026), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11110 + 0o23) + chr(302 - 248) + '\067', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(1429 - 1377) + chr(0b10 + 0o62), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(676 - 623) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b110111) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2142 - 2031) + '\061' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110000 + 0o77) + chr(0b110001) + chr(0b101110 + 0o7) + chr(0b100110 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x32' + chr(0b110110), 29508 - 29500), ehT0Px3KOsy9(chr(2176 - 2128) + chr(0b1100 + 0o143) + '\063' + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b100111 + 0o14) + chr(1510 - 1457), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + chr(0b110001 + 0o3), 0o10), ehT0Px3KOsy9(chr(157 - 109) + chr(0b1001000 + 0o47) + chr(50) + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1177 - 1128) + '\067' + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(1044 - 933) + chr(0b110001) + '\064' + chr(0b100001 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b1000 + 0o52) + chr(2181 - 2132) + chr(0b100111 + 0o13), 0o10), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + chr(0b110010) + chr(0b10111 + 0o33) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110111) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(9183 - 9072) + '\063' + chr(0b110000 + 0o4) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(516 - 467) + chr(0b10110 + 0o34) + chr(49), 5976 - 5968), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + '\x33' + '\062' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b110010) + chr(1597 - 1542) + chr(437 - 387), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + chr(0b110010) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\067' + chr(0b110001 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(0b100011 + 0o17) + '\060' + chr(0b110100 + 0o0), 0b1000), ehT0Px3KOsy9(chr(511 - 463) + '\157' + chr(0b101110 + 0o4) + '\066' + chr(2406 - 2355), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1010010 + 0o35) + '\x32' + '\062' + chr(255 - 207), 17489 - 17481), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\x32' + chr(0b110100) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(374 - 326) + chr(111) + chr(713 - 663) + '\064' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + chr(0b101000 + 0o15) + chr(845 - 794), 0o10), ehT0Px3KOsy9(chr(960 - 912) + chr(111) + '\062' + chr(0b11 + 0o63) + chr(1854 - 1801), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101110 + 0o4) + chr(50) + '\062', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o34) + '\x35', 63937 - 63929), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10836 - 10725) + '\x37' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3794 - 3683) + chr(50) + chr(54) + '\x36', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b101 + 0o53), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'M'), '\x64' + chr(0b111001 + 0o54) + chr(0b1100011) + chr(10653 - 10542) + chr(0b1100100) + chr(0b1010100 + 0o21))(chr(117) + chr(0b101101 + 0o107) + '\x66' + chr(0b101101) + chr(0b11000 + 0o40)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def zWqnaYCaTDof(utunRCPj8Imk, CwAp18FPCQND=None) -> qRxF7OQ0y39T[JWGWO_DJzASh]:
def Bj7cFDNhp9ag(Ah1rInvg48Hb):
aqoPN7zK4Pdq = Ah1rInvg48Hb[ehT0Px3KOsy9('\060' + '\157' + chr(1518 - 1470), 0b1000)]
TRUOLFLuD08x = Ah1rInvg48Hb[ehT0Px3KOsy9('\x30' + chr(111) + chr(1160 - 1110), 2855 - 2847):]
return (aqoPN7zK4Pdq, TRUOLFLuD08x)
aPSH2X7oF0wS = []
xUlObWaG2UbI = None
for (XdowRbJKZWL9, CPdEsc5O1sf7) in YlkZvXL8qwsX(utunRCPj8Imk):
(aqoPN7zK4Pdq, TRUOLFLuD08x) = Bj7cFDNhp9ag(CPdEsc5O1sf7)
if aqoPN7zK4Pdq in (xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(100) + chr(0b1100101) + chr(99) + chr(111) + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(0b1100001 + 0o5) + chr(0b101101) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'0'), chr(0b1100100) + '\145' + chr(6499 - 6400) + chr(0b110000 + 0o77) + '\x64' + '\x65')(chr(0b1110101) + chr(0b1010001 + 0o43) + chr(0b1100110) + chr(0b101101) + chr(0b111000))):
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xaa_\xedf\x13'), chr(0b1100100) + chr(101) + '\x63' + chr(6098 - 5987) + '\x64' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1000100 + 0o42) + chr(0b111 + 0o46) + chr(56)))((TRUOLFLuD08x, [XdowRbJKZWL9, XdowRbJKZWL9]))
elif aqoPN7zK4Pdq in (xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(100) + '\x65' + chr(5752 - 5653) + chr(10293 - 10182) + chr(0b110 + 0o136) + '\145')(chr(0b1101100 + 0o11) + chr(0b1010101 + 0o37) + chr(0b1000 + 0o136) + '\x2d' + chr(0b1000 + 0o60)), xafqLlk3kkUe(SXOLrMavuUCe(b'&'), chr(642 - 542) + '\145' + chr(5935 - 5836) + '\x6f' + chr(0b1000011 + 0o41) + '\x65')('\165' + '\x74' + '\x66' + '\055' + chr(0b111000))) and xUlObWaG2UbI in (xafqLlk3kkUe(SXOLrMavuUCe(b'!'), '\x64' + chr(101) + '\x63' + chr(111) + '\x64' + chr(0b10111 + 0o116))('\165' + chr(0b101000 + 0o114) + '\x66' + chr(176 - 131) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'.'), chr(0b1100100) + chr(2639 - 2538) + chr(99) + chr(0b100 + 0o153) + '\144' + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(45) + '\x38')) and (aPSH2X7oF0wS[-ehT0Px3KOsy9('\060' + chr(111) + '\x31', 0b1000)][ehT0Px3KOsy9(chr(48) + chr(268 - 157) + chr(0b11110 + 0o22), 8)] == TRUOLFLuD08x):
aPSH2X7oF0wS[-ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110001), 8)][ehT0Px3KOsy9(chr(1378 - 1330) + chr(721 - 610) + chr(2182 - 2133), 8)][ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1000011 + 0o54) + '\061', 8)] = XdowRbJKZWL9
else:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x02\xaa_\xedf\x13'), chr(0b1100100) + chr(5476 - 5375) + chr(0b1100011) + chr(2631 - 2520) + '\x64' + chr(9754 - 9653))('\165' + '\164' + chr(0b1000111 + 0o37) + '\x2d' + '\070'))((TRUOLFLuD08x, [XdowRbJKZWL9, XdowRbJKZWL9]))
xUlObWaG2UbI = aqoPN7zK4Pdq
CwAp18FPCQND = CwAp18FPCQND or []
return [(cM7fEShWxtgh[ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x30', 8)], (cM7fEShWxtgh[ehT0Px3KOsy9('\x30' + chr(0b111101 + 0o62) + chr(49), 8)][ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 8)], cM7fEShWxtgh[ehT0Px3KOsy9('\060' + chr(3453 - 3342) + chr(0b11010 + 0o27), 8)][ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(49), 8)])) for cM7fEShWxtgh in aPSH2X7oF0wS if cM7fEShWxtgh[ehT0Px3KOsy9('\x30' + chr(0b1101000 + 0o7) + chr(0b10001 + 0o37), 8)] not in CwAp18FPCQND]
|
allenai/allennlp
|
allennlp/commands/dry_run.py
|
dry_run_from_args
|
def dry_run_from_args(args: argparse.Namespace):
"""
Just converts from an ``argparse.Namespace`` object to params.
"""
parameter_path = args.param_path
serialization_dir = args.serialization_dir
overrides = args.overrides
params = Params.from_file(parameter_path, overrides)
dry_run_from_params(params, serialization_dir)
|
python
|
def dry_run_from_args(args: argparse.Namespace):
"""
Just converts from an ``argparse.Namespace`` object to params.
"""
parameter_path = args.param_path
serialization_dir = args.serialization_dir
overrides = args.overrides
params = Params.from_file(parameter_path, overrides)
dry_run_from_params(params, serialization_dir)
|
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":",
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"Namespace",
")",
":",
"parameter_path",
"=",
"args",
".",
"param_path",
"serialization_dir",
"=",
"args",
".",
"serialization_dir",
"overrides",
"=",
"args",
".",
"overrides",
"params",
"=",
"Params",
".",
"from_file",
"(",
"parameter_path",
",",
"overrides",
")",
"dry_run_from_params",
"(",
"params",
",",
"serialization_dir",
")"
] |
Just converts from an ``argparse.Namespace`` object to params.
|
[
"Just",
"converts",
"from",
"an",
"argparse",
".",
"Namespace",
"object",
"to",
"params",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/commands/dry_run.py#L72-L82
|
train
|
Just converts from an argparse. Namespace object to params.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1250 - 1202) + '\157' + '\x31' + chr(55) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101000 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + '\061' + '\x37' + '\065', 53704 - 53696), ehT0Px3KOsy9(chr(504 - 456) + '\157' + '\063' + '\x33' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(259 - 148) + chr(1458 - 1408) + chr(0b110101) + chr(990 - 935), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\061' + chr(50) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b101010 + 0o7) + chr(2746 - 2691), 14966 - 14958), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + '\x31' + chr(0b110001) + chr(0b0 + 0o64), 0b1000), ehT0Px3KOsy9(chr(312 - 264) + chr(10118 - 10007) + chr(1258 - 1208) + '\x34' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(1610 - 1499) + chr(50) + chr(0b110011) + chr(0b110111), 26297 - 26289), ehT0Px3KOsy9(chr(0b110000) + chr(0b100111 + 0o110) + chr(0b1111 + 0o44) + chr(2498 - 2446), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(0b10001 + 0o41) + chr(0b110110) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(0b1110 + 0o44) + chr(2737 - 2684) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + chr(0b101110 + 0o3) + '\067' + chr(2657 - 2604), 8), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(51) + chr(0b110000) + '\x30', 40639 - 40631), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(976 - 927) + chr(0b110000) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(1379 - 1268) + '\062' + chr(0b10101 + 0o36) + chr(0b110101), 30677 - 30669), ehT0Px3KOsy9(chr(48) + '\157' + chr(1068 - 1017) + '\064', 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101001 + 0o12) + chr(0b11000 + 0o33) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b111 + 0o54) + '\x37' + chr(2708 - 2655), 16846 - 16838), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(1902 - 1791) + '\x31' + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + '\x32' + chr(891 - 839) + chr(781 - 730), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(53) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101011 + 0o6) + chr(53) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10100 + 0o133) + chr(0b110001) + chr(578 - 527) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + '\x36' + '\067', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(0b100 + 0o63) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110100) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6987 - 6876) + chr(2290 - 2241) + '\x30' + chr(0b110001), 56220 - 56212), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(49) + '\062' + chr(1790 - 1737), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11011 + 0o33) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(52) + chr(1889 - 1835), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(150 - 96) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(11067 - 10956) + chr(519 - 470) + chr(0b1000 + 0o50) + chr(651 - 598), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(2101 - 2051) + '\x33' + chr(153 - 104), 0o10), ehT0Px3KOsy9('\060' + chr(10790 - 10679) + chr(49) + chr(0b110101) + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x30', 55028 - 55020)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110101 + 0o72) + chr(0b110101) + chr(48), 10447 - 10439)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), '\x64' + chr(2548 - 2447) + '\x63' + chr(0b1001101 + 0o42) + chr(100) + chr(0b1100101))(chr(10308 - 10191) + chr(0b100011 + 0o121) + chr(0b1100 + 0o132) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def in3ngL2Apqj0(kJDRfRhcZHjS):
zUM_ax8w1tU1 = kJDRfRhcZHjS.param_path
_NgEteHO5j9h = kJDRfRhcZHjS.serialization_dir
de6iQhrbBQ5Y = kJDRfRhcZHjS.overrides
nEbJZ4wfte2w = pboYvIgFA4qm.from_file(zUM_ax8w1tU1, de6iQhrbBQ5Y)
p0pedkwkP6vc(nEbJZ4wfte2w, _NgEteHO5j9h)
|
allenai/allennlp
|
allennlp/state_machines/constrained_beam_search.py
|
ConstrainedBeamSearch.search
|
def search(self,
initial_state: State,
transition_function: TransitionFunction) -> Dict[int, List[State]]:
"""
Parameters
----------
initial_state : ``State``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
Returns
-------
best_states : ``Dict[int, List[State]]``
This is a mapping from batch index to the top states for that instance.
"""
finished_states: Dict[int, List[State]] = defaultdict(list)
states = [initial_state]
step_num = 0
while states:
step_num += 1
next_states: Dict[int, List[State]] = defaultdict(list)
grouped_state = states[0].combine_states(states)
allowed_actions = []
for batch_index, action_history in zip(grouped_state.batch_indices,
grouped_state.action_history):
allowed_actions.append(self._allowed_transitions[batch_index][tuple(action_history)])
for next_state in transition_function.take_step(grouped_state,
max_actions=self._per_node_beam_size,
allowed_actions=allowed_actions):
# NOTE: we're doing state.batch_indices[0] here (and similar things below),
# hard-coding a group size of 1. But, our use of `next_state.is_finished()`
# already checks for that, as it crashes if the group size is not 1.
batch_index = next_state.batch_indices[0]
if next_state.is_finished():
finished_states[batch_index].append(next_state)
else:
next_states[batch_index].append(next_state)
states = []
for batch_index, batch_states in next_states.items():
# The states from the generator are already sorted, so we can just take the first
# ones here, without an additional sort.
if self._beam_size:
batch_states = batch_states[:self._beam_size]
states.extend(batch_states)
best_states: Dict[int, List[State]] = {}
for batch_index, batch_states in finished_states.items():
# The time this sort takes is pretty negligible, no particular need to optimize this
# yet. Maybe with a larger beam size...
finished_to_sort = [(-state.score[0].item(), state) for state in batch_states]
finished_to_sort.sort(key=lambda x: x[0])
best_states[batch_index] = [state[1] for state in finished_to_sort[:self._beam_size]]
return best_states
|
python
|
def search(self,
initial_state: State,
transition_function: TransitionFunction) -> Dict[int, List[State]]:
"""
Parameters
----------
initial_state : ``State``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
Returns
-------
best_states : ``Dict[int, List[State]]``
This is a mapping from batch index to the top states for that instance.
"""
finished_states: Dict[int, List[State]] = defaultdict(list)
states = [initial_state]
step_num = 0
while states:
step_num += 1
next_states: Dict[int, List[State]] = defaultdict(list)
grouped_state = states[0].combine_states(states)
allowed_actions = []
for batch_index, action_history in zip(grouped_state.batch_indices,
grouped_state.action_history):
allowed_actions.append(self._allowed_transitions[batch_index][tuple(action_history)])
for next_state in transition_function.take_step(grouped_state,
max_actions=self._per_node_beam_size,
allowed_actions=allowed_actions):
# NOTE: we're doing state.batch_indices[0] here (and similar things below),
# hard-coding a group size of 1. But, our use of `next_state.is_finished()`
# already checks for that, as it crashes if the group size is not 1.
batch_index = next_state.batch_indices[0]
if next_state.is_finished():
finished_states[batch_index].append(next_state)
else:
next_states[batch_index].append(next_state)
states = []
for batch_index, batch_states in next_states.items():
# The states from the generator are already sorted, so we can just take the first
# ones here, without an additional sort.
if self._beam_size:
batch_states = batch_states[:self._beam_size]
states.extend(batch_states)
best_states: Dict[int, List[State]] = {}
for batch_index, batch_states in finished_states.items():
# The time this sort takes is pretty negligible, no particular need to optimize this
# yet. Maybe with a larger beam size...
finished_to_sort = [(-state.score[0].item(), state) for state in batch_states]
finished_to_sort.sort(key=lambda x: x[0])
best_states[batch_index] = [state[1] for state in finished_to_sort[:self._beam_size]]
return best_states
|
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] |
Parameters
----------
initial_state : ``State``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
Returns
-------
best_states : ``Dict[int, List[State]]``
This is a mapping from batch index to the top states for that instance.
|
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"one",
"state",
"to",
"the",
"next",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/state_machines/constrained_beam_search.py#L60-L114
|
train
|
Search for the next state in the beam.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\x6f' + chr(1371 - 1322) + '\x30' + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(957 - 902) + chr(0b11101 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100000 + 0o22) + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10001 + 0o40) + chr(541 - 493) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1001110 + 0o41) + chr(1580 - 1529) + chr(0b10000 + 0o41), 8332 - 8324), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + chr(54) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b101111 + 0o100) + chr(49) + '\066' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2272 - 2161) + chr(55) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x35' + chr(53), 0o10), ehT0Px3KOsy9('\060' + chr(3955 - 3844) + chr(1089 - 1040) + chr(0b10001 + 0o46) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\x31' + '\066' + chr(0b100001 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(1796 - 1747) + chr(1535 - 1485) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11187 - 11076) + chr(49) + chr(1837 - 1789) + chr(1924 - 1870), 62480 - 62472), ehT0Px3KOsy9(chr(1888 - 1840) + chr(11851 - 11740) + chr(49) + chr(0b110110) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110001) + chr(2826 - 2772) + '\060', 30068 - 30060), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\x6f' + '\061' + chr(54) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(1003 - 955) + '\062', 55310 - 55302), ehT0Px3KOsy9(chr(48) + chr(300 - 189) + chr(0b100010 + 0o21) + '\061' + '\064', 11567 - 11559), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1860 - 1805) + chr(0b100011 + 0o24), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(1681 - 1632), 0o10), ehT0Px3KOsy9(chr(938 - 890) + '\x6f' + chr(538 - 489) + chr(0b100111 + 0o13) + chr(0b110111), 34309 - 34301), ehT0Px3KOsy9(chr(1323 - 1275) + chr(0b1010010 + 0o35) + '\062' + chr(352 - 297) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101101 + 0o6) + chr(50) + '\x35', 32944 - 32936), ehT0Px3KOsy9(chr(0b110000) + chr(8485 - 8374) + chr(0b110001) + chr(783 - 729) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(2814 - 2703) + chr(0b10010 + 0o41) + chr(0b110110) + '\066', 34716 - 34708), ehT0Px3KOsy9('\x30' + '\x6f' + '\x36' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100000 + 0o22) + chr(0b110000) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\060' + '\x35', 50100 - 50092), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + chr(0b1110 + 0o45) + chr(49) + chr(290 - 236), ord("\x08")), ehT0Px3KOsy9(chr(1106 - 1058) + chr(10177 - 10066) + '\061' + chr(49) + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1076 - 1028) + chr(4386 - 4275) + chr(0b10110 + 0o34) + chr(49) + chr(1341 - 1293), 28639 - 28631), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x35' + chr(1881 - 1832), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11994 - 11883) + chr(0b11011 + 0o27) + chr(55) + chr(423 - 372), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(543 - 493) + chr(962 - 911), 20788 - 20780), ehT0Px3KOsy9(chr(2291 - 2243) + chr(263 - 152) + chr(1240 - 1191) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + '\061' + chr(0b110010) + chr(53), 0b1000), ehT0Px3KOsy9(chr(155 - 107) + chr(111) + '\x37' + chr(1957 - 1904), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101100 + 0o3) + '\062' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(484 - 436) + '\x6f' + '\063' + chr(0b110111) + chr(0b110010), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2100 - 2052) + '\157' + chr(0b110001 + 0o4) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'i'), '\144' + '\x65' + chr(0b1000 + 0o133) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(7779 - 7662) + chr(116) + '\146' + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def d3sjjjpuU5tq(oVre8I6UXc3b, jXyGqlVq68Bb, Ew8eGiv6mHjR) -> zBnV56fc6HrA[ehT0Px3KOsy9, qRxF7OQ0y39T[uWBOm14kSj2p]]:
HV1dcqfUnFmU = rLgqW9imlCdX(YyaZ4tpXu4lf)
jI0E6zso5mLP = [jXyGqlVq68Bb]
s4MGxQMbnqrH = ehT0Px3KOsy9(chr(2050 - 2002) + chr(0b111100 + 0o63) + chr(0b110000), 0o10)
while jI0E6zso5mLP:
s4MGxQMbnqrH += ehT0Px3KOsy9('\x30' + '\157' + chr(49), 44331 - 44323)
jPZpDZH3GdVX = rLgqW9imlCdX(YyaZ4tpXu4lf)
HFKIjhy8OINa = jI0E6zso5mLP[ehT0Px3KOsy9(chr(1371 - 1323) + '\157' + chr(48), 8)].combine_states(jI0E6zso5mLP)
BNz_fSTQLGui = []
for (Q3TVZeZzkrZ0, sdGUbW0q0W8A) in pZ0NK2y6HRbn(xafqLlk3kkUe(HFKIjhy8OINa, xafqLlk3kkUe(SXOLrMavuUCe(b'%^\xe3"\xd1F^\x1f[D\x1d\x16\''), chr(0b111000 + 0o54) + chr(0b1000111 + 0o36) + chr(253 - 154) + chr(0b1101111) + chr(100) + chr(0b1111 + 0o126))(chr(4817 - 4700) + chr(12013 - 11897) + '\146' + '\x2d' + '\070')), xafqLlk3kkUe(HFKIjhy8OINa, xafqLlk3kkUe(SXOLrMavuUCe(b'&\\\xe3(\xd6wh\x19V^\n\x1c&?'), chr(100) + chr(9541 - 9440) + chr(99) + '\x6f' + chr(0b1011000 + 0o14) + chr(0b1100101))('\x75' + chr(915 - 799) + chr(9066 - 8964) + chr(1046 - 1001) + '\070'))):
xafqLlk3kkUe(BNz_fSTQLGui, xafqLlk3kkUe(SXOLrMavuUCe(b'&O\xe7$\xd7}'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(9213 - 9112))(chr(0b1110101) + '\164' + chr(102) + chr(0b1111 + 0o36) + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18^\xfb-\xd6nR\x15`Y\x0c\x12:5\x1e\x04\x1f\xad\xa2L'), '\x64' + '\145' + chr(9098 - 8999) + '\x6f' + '\144' + '\x65')('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(56)))[Q3TVZeZzkrZ0][KNyTy8rYcwji(sdGUbW0q0W8A)])
for l7yOP9uqtsC4 in xafqLlk3kkUe(Ew8eGiv6mHjR, xafqLlk3kkUe(SXOLrMavuUCe(b'3^\xfc$\xe6jC\x14O'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(101))(chr(0b1110101) + chr(0b1110100) + chr(394 - 292) + chr(45) + chr(3109 - 3053)))(HFKIjhy8OINa, max_actions=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18O\xf23\xe6wX\x15Zr\x1c\x165+(\x03\x1f\xb8\xa9'), '\x64' + chr(0b1100101) + chr(99) + '\157' + '\x64' + chr(5712 - 5611))(chr(117) + '\x74' + chr(102) + chr(742 - 697) + chr(0b111000))), allowed_actions=BNz_fSTQLGui):
Q3TVZeZzkrZ0 = l7yOP9uqtsC4.batch_indices[ehT0Px3KOsy9('\x30' + chr(1922 - 1811) + chr(0b1001 + 0o47), 8)]
if xafqLlk3kkUe(l7yOP9uqtsC4, xafqLlk3kkUe(SXOLrMavuUCe(b".L\xc8'\xd0w^\x02WH\x1a"), chr(2176 - 2076) + chr(544 - 443) + chr(99) + chr(0b1100100 + 0o13) + '\144' + chr(101))('\165' + '\x74' + chr(3809 - 3707) + chr(942 - 897) + chr(0b100 + 0o64)))():
xafqLlk3kkUe(HV1dcqfUnFmU[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'&O\xe7$\xd7}'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + chr(1205 - 1105) + '\x65')('\x75' + chr(0b1000111 + 0o55) + chr(102) + '\055' + '\070'))(l7yOP9uqtsC4)
else:
xafqLlk3kkUe(jPZpDZH3GdVX[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'&O\xe7$\xd7}'), chr(0b11011 + 0o111) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1010010 + 0o22) + chr(7419 - 7318))(chr(0b1110101) + '\x74' + chr(3039 - 2937) + chr(1842 - 1797) + '\x38'))(l7yOP9uqtsC4)
jI0E6zso5mLP = []
for (Q3TVZeZzkrZ0, t6Sd6XIAAZlg) in xafqLlk3kkUe(jPZpDZH3GdVX, xafqLlk3kkUe(SXOLrMavuUCe(b'\tE\xe1$\xf0C\x048S~6J'), chr(0b1100100) + chr(0b111110 + 0o47) + chr(0b1010111 + 0o14) + chr(0b1111 + 0o140) + chr(100) + chr(6030 - 5929))('\x75' + chr(0b101000 + 0o114) + chr(0b11110 + 0o110) + '\x2d' + '\x38'))():
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18]\xf2 \xd4FD\x18EH'), '\x64' + '\145' + '\x63' + chr(0b111111 + 0o60) + chr(100) + chr(839 - 738))(chr(0b1010001 + 0o44) + chr(116) + chr(0b111011 + 0o53) + chr(0b1100 + 0o41) + '\070')):
t6Sd6XIAAZlg = t6Sd6XIAAZlg[:oVre8I6UXc3b._beam_size]
xafqLlk3kkUe(jI0E6zso5mLP, xafqLlk3kkUe(SXOLrMavuUCe(b'"G\xe3$\xd7}'), chr(0b1110 + 0o126) + '\145' + chr(5882 - 5783) + '\x6f' + chr(2055 - 1955) + '\145')(chr(0b1110101) + chr(0b1000101 + 0o57) + chr(102) + '\x2d' + chr(0b111000)))(t6Sd6XIAAZlg)
FYmaFou6uVaj = {}
for (Q3TVZeZzkrZ0, t6Sd6XIAAZlg) in xafqLlk3kkUe(HV1dcqfUnFmU, xafqLlk3kkUe(SXOLrMavuUCe(b'\tE\xe1$\xf0C\x048S~6J'), chr(4433 - 4333) + '\x65' + chr(99) + chr(0b1101111) + chr(100) + chr(0b1000101 + 0o40))('\165' + '\164' + chr(0b1010010 + 0o24) + chr(803 - 758) + chr(0b101011 + 0o15)))():
QYnhBbKeq8Ml = [(-KKFQISrGeiAm.score[ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(48), 8)].N7j7ePTXzzI0(), KKFQISrGeiAm) for KKFQISrGeiAm in t6Sd6XIAAZlg]
xafqLlk3kkUe(QYnhBbKeq8Ml, xafqLlk3kkUe(SXOLrMavuUCe(b'4P\xe55'), chr(5140 - 5040) + '\x65' + '\x63' + chr(111) + '\144' + '\x65')('\x75' + '\164' + '\x66' + '\055' + chr(56)))(key=lambda OeWW0F1dBPRQ: OeWW0F1dBPRQ[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)])
FYmaFou6uVaj[Q3TVZeZzkrZ0] = [KKFQISrGeiAm[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)] for KKFQISrGeiAm in QYnhBbKeq8Ml[:oVre8I6UXc3b._beam_size]]
return FYmaFou6uVaj
|
allenai/allennlp
|
scripts/check_links.py
|
url_ok
|
def url_ok(match_tuple: MatchTuple) -> bool:
"""Check if a URL is reachable."""
try:
result = requests.get(match_tuple.link, timeout=5)
return result.ok
except (requests.ConnectionError, requests.Timeout):
return False
|
python
|
def url_ok(match_tuple: MatchTuple) -> bool:
"""Check if a URL is reachable."""
try:
result = requests.get(match_tuple.link, timeout=5)
return result.ok
except (requests.ConnectionError, requests.Timeout):
return False
|
[
"def",
"url_ok",
"(",
"match_tuple",
":",
"MatchTuple",
")",
"->",
"bool",
":",
"try",
":",
"result",
"=",
"requests",
".",
"get",
"(",
"match_tuple",
".",
"link",
",",
"timeout",
"=",
"5",
")",
"return",
"result",
".",
"ok",
"except",
"(",
"requests",
".",
"ConnectionError",
",",
"requests",
".",
"Timeout",
")",
":",
"return",
"False"
] |
Check if a URL is reachable.
|
[
"Check",
"if",
"a",
"URL",
"is",
"reachable",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/scripts/check_links.py#L24-L30
|
train
|
Check if a URL is reachable.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1011010 + 0o25) + chr(51) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(1121 - 1066) + chr(939 - 889), ord("\x08")), ehT0Px3KOsy9(chr(1392 - 1344) + '\157' + chr(0b110001) + chr(0b110100) + chr(1571 - 1523), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(112 - 62) + chr(48), 0b1000), ehT0Px3KOsy9(chr(2019 - 1971) + '\157' + chr(1150 - 1101) + chr(0b110111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(0b101 + 0o61) + chr(0b101111 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(512 - 462) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\067' + chr(2076 - 2023), 10298 - 10290), ehT0Px3KOsy9('\x30' + chr(10836 - 10725) + chr(51) + chr(0b110110) + '\x32', 38429 - 38421), ehT0Px3KOsy9(chr(2012 - 1964) + '\x6f' + '\063' + chr(0b110001) + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\x33' + chr(0b110010) + chr(1530 - 1482), 17577 - 17569), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(0b1001 + 0o52) + chr(0b110110) + '\062', 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + chr(50) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(4702 - 4591) + chr(229 - 180) + chr(55), 0b1000), ehT0Px3KOsy9(chr(1426 - 1378) + '\157' + chr(0b110010) + chr(0b1 + 0o64) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1946 - 1896) + chr(49) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\x36' + chr(0b110110), 38476 - 38468), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(1413 - 1360) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(637 - 589) + chr(11229 - 11118) + '\062' + chr(1153 - 1098) + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10111 + 0o32) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(240 - 192) + '\x6f' + '\062' + chr(1176 - 1124) + '\062', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(714 - 663) + chr(0b1110 + 0o46) + chr(0b1110 + 0o50), 36751 - 36743), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\062' + chr(1163 - 1110), ord("\x08")), ehT0Px3KOsy9(chr(1172 - 1124) + chr(11221 - 11110) + chr(0b11100 + 0o26) + '\065' + '\063', 21542 - 21534), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1010 + 0o47) + chr(710 - 658) + chr(0b110110), 59505 - 59497), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(2130 - 2082) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\x30' + chr(0b1000 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6879 - 6768) + chr(49) + chr(0b11 + 0o55) + chr(48), 8), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110000) + '\062', 3973 - 3965), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + '\x30' + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6393 - 6282) + '\061' + '\x32' + chr(190 - 142), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\064' + chr(0b1111 + 0o47), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(469 - 420) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\063' + chr(0b110011), 25893 - 25885), ehT0Px3KOsy9(chr(401 - 353) + chr(0b1101111) + chr(0b110011) + '\060' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110010) + chr(0b11110 + 0o31) + '\x36', 37953 - 37945), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + chr(0b110011) + chr(48) + chr(0b101111 + 0o3), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101001 + 0o6) + chr(0b1101 + 0o50) + chr(0b101 + 0o53), 0o10), ehT0Px3KOsy9(chr(799 - 751) + chr(11647 - 11536) + '\061' + '\x37', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1647 - 1599) + chr(0b10000 + 0o137) + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'4'), chr(0b1001000 + 0o34) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Ne4q_zXsxKUd(XWJOt3HYLGkq) -> WbBjf8Y7v9VN:
try:
ShZmEKfTkAOZ = Mx6ixpcPMQy3.get(XWJOt3HYLGkq.link, timeout=ehT0Px3KOsy9('\x30' + '\x6f' + '\x35', 0o10))
return xafqLlk3kkUe(ShZmEKfTkAOZ, xafqLlk3kkUe(SXOLrMavuUCe(b'u\x91'), chr(100) + chr(101) + chr(0b101010 + 0o71) + chr(0b100111 + 0o110) + '\144' + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\055' + '\070'))
except (xafqLlk3kkUe(Mx6ixpcPMQy3, xafqLlk3kkUe(SXOLrMavuUCe(b'Y\x95\x0e\xfe\x19\xd2#T\x9d\xa4\x95\x80\xe0`\xdc'), chr(0b11101 + 0o107) + chr(0b11011 + 0o112) + chr(0b10010 + 0o121) + chr(12207 - 12096) + '\x64' + '\145')(chr(117) + chr(0b1100100 + 0o20) + chr(0b1001110 + 0o30) + '\055' + chr(0b100011 + 0o25))), xafqLlk3kkUe(Mx6ixpcPMQy3, xafqLlk3kkUe(SXOLrMavuUCe(b'N\x93\r\xf5\x13\xc4#'), chr(9472 - 9372) + chr(0b1100010 + 0o3) + chr(0b1100011) + chr(0b11000 + 0o127) + chr(0b1100100) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + '\070'))):
return ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)
|
allenai/allennlp
|
scripts/check_links.py
|
path_ok
|
def path_ok(match_tuple: MatchTuple) -> bool:
"""Check if a file in this repository exists."""
relative_path = match_tuple.link.split("#")[0]
full_path = os.path.join(os.path.dirname(str(match_tuple.source)), relative_path)
return os.path.exists(full_path)
|
python
|
def path_ok(match_tuple: MatchTuple) -> bool:
"""Check if a file in this repository exists."""
relative_path = match_tuple.link.split("#")[0]
full_path = os.path.join(os.path.dirname(str(match_tuple.source)), relative_path)
return os.path.exists(full_path)
|
[
"def",
"path_ok",
"(",
"match_tuple",
":",
"MatchTuple",
")",
"->",
"bool",
":",
"relative_path",
"=",
"match_tuple",
".",
"link",
".",
"split",
"(",
"\"#\"",
")",
"[",
"0",
"]",
"full_path",
"=",
"os",
".",
"path",
".",
"join",
"(",
"os",
".",
"path",
".",
"dirname",
"(",
"str",
"(",
"match_tuple",
".",
"source",
")",
")",
",",
"relative_path",
")",
"return",
"os",
".",
"path",
".",
"exists",
"(",
"full_path",
")"
] |
Check if a file in this repository exists.
|
[
"Check",
"if",
"a",
"file",
"in",
"this",
"repository",
"exists",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/scripts/check_links.py#L33-L37
|
train
|
Check if a file in this repository exists.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(937 - 889) + chr(111) + chr(1061 - 1011) + chr(0b11100 + 0o25) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(518 - 470) + '\x6f' + chr(0b110011) + '\x33' + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10011 + 0o44) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(5275 - 5164) + '\063' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + '\063' + chr(0b110000 + 0o4), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x34' + chr(1207 - 1159), 5114 - 5106), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(49) + chr(50), 25756 - 25748), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1010 + 0o145) + chr(0b110010) + chr(2699 - 2646) + chr(1198 - 1149), 0b1000), ehT0Px3KOsy9('\060' + chr(3096 - 2985) + '\x33' + '\067' + chr(0b11010 + 0o32), 23356 - 23348), ehT0Px3KOsy9(chr(48) + chr(9592 - 9481) + chr(50) + chr(2824 - 2769), 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b101111 + 0o100) + chr(49) + chr(2321 - 2272) + chr(893 - 845), 32428 - 32420), ehT0Px3KOsy9(chr(621 - 573) + chr(111) + chr(49) + '\060' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(278 - 167) + '\x33' + '\067' + chr(0b10010 + 0o40), 0o10), ehT0Px3KOsy9('\x30' + chr(1912 - 1801) + chr(0b110110) + '\060', 0b1000), ehT0Px3KOsy9(chr(1459 - 1411) + chr(9256 - 9145) + '\066' + '\062', 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + '\066' + chr(0b101011 + 0o13), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(50) + '\066' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11574 - 11463) + chr(60 - 10) + chr(0b110110) + chr(0b10111 + 0o32), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1936 - 1885) + '\065' + '\x37', 58436 - 58428), ehT0Px3KOsy9('\x30' + chr(4795 - 4684) + chr(51) + chr(0b110101) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + chr(53) + chr(917 - 865), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x32' + chr(487 - 437) + chr(2349 - 2300), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x30', 0o10), ehT0Px3KOsy9(chr(1160 - 1112) + chr(11473 - 11362) + '\063' + chr(52) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(869 - 814) + chr(50), 8), ehT0Px3KOsy9(chr(48) + chr(4922 - 4811) + chr(1435 - 1384) + chr(0b1110 + 0o44) + chr(209 - 155), 0o10), ehT0Px3KOsy9(chr(2123 - 2075) + chr(111) + chr(50) + chr(1550 - 1502) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b110110 + 0o71) + '\063' + chr(0b110011) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3658 - 3547) + '\062' + '\x37' + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(1088 - 1040) + chr(111) + chr(325 - 274) + '\066' + '\064', 0b1000), ehT0Px3KOsy9(chr(1715 - 1667) + chr(0b1101111) + chr(0b10111 + 0o32) + chr(0b110100) + chr(0b101 + 0o61), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101001 + 0o6) + chr(0b11000 + 0o31) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(51), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b1100 + 0o51), 32042 - 32034), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\065' + chr(52), 2224 - 2216), ehT0Px3KOsy9(chr(2134 - 2086) + '\157' + chr(2208 - 2158) + chr(0b110100) + chr(0b110110), 35165 - 35157), ehT0Px3KOsy9(chr(1795 - 1747) + chr(7841 - 7730) + chr(0b10100 + 0o41) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(1286 - 1237) + chr(0b101100 + 0o12) + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa1'), chr(5177 - 5077) + chr(0b1100101) + chr(0b10111 + 0o114) + chr(0b11110 + 0o121) + '\x64' + '\x65')(chr(0b1110101) + chr(9967 - 9851) + chr(0b111010 + 0o54) + chr(0b101101) + chr(2576 - 2520)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dbOJY6_ZXaUl(XWJOt3HYLGkq) -> WbBjf8Y7v9VN:
Sv44uDWJDn04 = XWJOt3HYLGkq.link.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xac'), chr(0b111100 + 0o50) + chr(0b11111 + 0o106) + chr(0b1100011) + chr(0b110110 + 0o71) + chr(0b111 + 0o135) + '\145')('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + '\070'))[ehT0Px3KOsy9(chr(48) + chr(0b1011110 + 0o21) + chr(0b100010 + 0o16), 8)]
rI6LPzVe_y18 = oqhJDdMJfuwx.path.join(oqhJDdMJfuwx.path.dirname(M8_cKLkHVB2V(XWJOt3HYLGkq.Qas9W3D0Xbzi)), Sv44uDWJDn04)
return xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\xa0bIno'), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(11685 - 11574) + chr(2692 - 2592) + chr(101))(chr(0b1100 + 0o151) + chr(116) + chr(0b100111 + 0o77) + '\x2d' + chr(3036 - 2980)))(rI6LPzVe_y18)
|
allenai/allennlp
|
allennlp/common/params.py
|
infer_and_cast
|
def infer_and_cast(value: Any):
"""
In some cases we'll be feeding params dicts to functions we don't own;
for example, PyTorch optimizers. In that case we can't use ``pop_int``
or similar to force casts (which means you can't specify ``int`` parameters
using environment variables). This function takes something that looks JSON-like
and recursively casts things that look like (bool, int, float) to (bool, int, float).
"""
# pylint: disable=too-many-return-statements
if isinstance(value, (int, float, bool)):
# Already one of our desired types, so leave as is.
return value
elif isinstance(value, list):
# Recursively call on each list element.
return [infer_and_cast(item) for item in value]
elif isinstance(value, dict):
# Recursively call on each dict value.
return {key: infer_and_cast(item) for key, item in value.items()}
elif isinstance(value, str):
# If it looks like a bool, make it a bool.
if value.lower() == "true":
return True
elif value.lower() == "false":
return False
else:
# See if it could be an int.
try:
return int(value)
except ValueError:
pass
# See if it could be a float.
try:
return float(value)
except ValueError:
# Just return it as a string.
return value
else:
raise ValueError(f"cannot infer type of {value}")
|
python
|
def infer_and_cast(value: Any):
"""
In some cases we'll be feeding params dicts to functions we don't own;
for example, PyTorch optimizers. In that case we can't use ``pop_int``
or similar to force casts (which means you can't specify ``int`` parameters
using environment variables). This function takes something that looks JSON-like
and recursively casts things that look like (bool, int, float) to (bool, int, float).
"""
# pylint: disable=too-many-return-statements
if isinstance(value, (int, float, bool)):
# Already one of our desired types, so leave as is.
return value
elif isinstance(value, list):
# Recursively call on each list element.
return [infer_and_cast(item) for item in value]
elif isinstance(value, dict):
# Recursively call on each dict value.
return {key: infer_and_cast(item) for key, item in value.items()}
elif isinstance(value, str):
# If it looks like a bool, make it a bool.
if value.lower() == "true":
return True
elif value.lower() == "false":
return False
else:
# See if it could be an int.
try:
return int(value)
except ValueError:
pass
# See if it could be a float.
try:
return float(value)
except ValueError:
# Just return it as a string.
return value
else:
raise ValueError(f"cannot infer type of {value}")
|
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] |
In some cases we'll be feeding params dicts to functions we don't own;
for example, PyTorch optimizers. In that case we can't use ``pop_int``
or similar to force casts (which means you can't specify ``int`` parameters
using environment variables). This function takes something that looks JSON-like
and recursively casts things that look like (bool, int, float) to (bool, int, float).
|
[
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L35-L72
|
train
|
Infer the type of the value and return it.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(0b110011) + chr(0b10101 + 0o35) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b11 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(2315 - 2260) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11001 + 0o32) + '\x36' + chr(2039 - 1986), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b101000 + 0o12) + chr(0b110110) + chr(0b110110), 11645 - 11637), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11 + 0o60) + chr(738 - 686) + chr(1838 - 1784), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b100111 + 0o16) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(51) + chr(0b100110 + 0o13) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10616 - 10505) + chr(0b110001) + '\x35' + chr(0b110001), 146 - 138), ehT0Px3KOsy9(chr(2243 - 2195) + chr(9152 - 9041) + '\062' + chr(2497 - 2442) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(403 - 355) + chr(0b1101111) + '\x31' + chr(0b1 + 0o57) + chr(0b110001 + 0o4), 53708 - 53700), ehT0Px3KOsy9(chr(1146 - 1098) + '\157' + '\x37' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\x32' + chr(0b110100) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + '\062' + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\067' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(1634 - 1586) + chr(1394 - 1283) + chr(0b110000), 25737 - 25729), ehT0Px3KOsy9(chr(1576 - 1528) + chr(9948 - 9837) + chr(0b100011 + 0o16) + '\060' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1046 - 998) + '\157' + '\x32' + '\063' + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\063' + chr(0b11100 + 0o26), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11110 + 0o24) + '\x32' + '\x37', 34620 - 34612), ehT0Px3KOsy9(chr(48) + chr(0b1011101 + 0o22) + '\062' + chr(51) + chr(0b10001 + 0o46), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(111) + '\063' + '\061' + chr(0b11010 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x37' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x35' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1115 - 1067) + chr(3948 - 3837) + chr(1522 - 1473) + chr(0b110000) + '\x36', 33795 - 33787), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x30' + chr(773 - 722), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10498 - 10387) + '\x32' + chr(0b110111) + chr(140 - 86), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + chr(0b100001 + 0o21) + chr(0b1001 + 0o50) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b101110 + 0o5) + chr(0b10010 + 0o44) + chr(50), 0o10), ehT0Px3KOsy9(chr(1995 - 1947) + chr(0b1011011 + 0o24) + '\x31' + '\067' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(207 - 96) + chr(0b10111 + 0o37) + '\x34', 46232 - 46224), ehT0Px3KOsy9(chr(1183 - 1135) + chr(111) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x33' + '\x35' + chr(2679 - 2625), 33817 - 33809), ehT0Px3KOsy9(chr(48) + chr(9547 - 9436) + chr(1449 - 1400) + chr(0b110101 + 0o0) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1380 - 1332) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + chr(1943 - 1892) + chr(54) + chr(0b110010), 8), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(1156 - 1104) + chr(2353 - 2300), 910 - 902), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b101101 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(54) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(1657 - 1606) + chr(54), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(53) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xff'), '\x64' + chr(0b1100101) + '\x63' + chr(0b100111 + 0o110) + chr(0b1100100) + '\x65')(chr(0b1110101) + '\164' + chr(1596 - 1494) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def IzIWaN_cBkXc(QmmgWUB13VCJ):
if PlSM16l2KDPD(QmmgWUB13VCJ, (ehT0Px3KOsy9, kkSX4ccExqw4, WbBjf8Y7v9VN)):
return QmmgWUB13VCJ
elif PlSM16l2KDPD(QmmgWUB13VCJ, YyaZ4tpXu4lf):
return [IzIWaN_cBkXc(N7j7ePTXzzI0) for N7j7ePTXzzI0 in QmmgWUB13VCJ]
elif PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
return {K3J4ZwSlE0sT: IzIWaN_cBkXc(N7j7ePTXzzI0) for (K3J4ZwSlE0sT, N7j7ePTXzzI0) in xafqLlk3kkUe(QmmgWUB13VCJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9fW\x88\x90\xff\xbc\xdf\x80\x05\xe8\r\x06'), '\x64' + chr(0b1101 + 0o130) + '\143' + chr(0b1101111) + chr(3899 - 3799) + '\145')(chr(0b1110101) + '\x74' + chr(102) + '\x2d' + chr(0b111000)))()}
elif PlSM16l2KDPD(QmmgWUB13VCJ, M8_cKLkHVB2V):
if xafqLlk3kkUe(QmmgWUB13VCJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdB\x89\x90\xc4'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(6160 - 6043) + chr(0b1110100) + '\x66' + chr(1415 - 1370) + '\x38'))() == xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5_\x8b\x90'), '\144' + chr(0b11011 + 0o112) + chr(99) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b101010 + 0o113) + chr(0b10101 + 0o137) + chr(102) + '\x2d' + chr(56)):
return ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(6101 - 5990) + chr(49), ord("\x08"))
elif xafqLlk3kkUe(QmmgWUB13VCJ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdB\x89\x90\xc4'), chr(100) + '\x65' + '\143' + chr(12251 - 12140) + '\144' + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(0b101101) + chr(624 - 568)))() == xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7L\x92\x86\xd3'), '\144' + chr(1844 - 1743) + chr(1552 - 1453) + chr(0b1101111) + chr(5252 - 5152) + '\145')('\x75' + chr(11757 - 11641) + '\x66' + '\x2d' + chr(2852 - 2796)):
return ehT0Px3KOsy9(chr(48) + chr(8269 - 8158) + chr(0b110000 + 0o0), 8)
else:
try:
return ehT0Px3KOsy9(QmmgWUB13VCJ)
except q1QCh3W88sgk:
pass
try:
return kkSX4ccExqw4(QmmgWUB13VCJ)
except q1QCh3W88sgk:
return QmmgWUB13VCJ
else:
raise q1QCh3W88sgk(f'cannot infer type of {QmmgWUB13VCJ}')
|
allenai/allennlp
|
allennlp/common/params.py
|
_environment_variables
|
def _environment_variables() -> Dict[str, str]:
"""
Wraps `os.environ` to filter out non-encodable values.
"""
return {key: value
for key, value in os.environ.items()
if _is_encodable(value)}
|
python
|
def _environment_variables() -> Dict[str, str]:
"""
Wraps `os.environ` to filter out non-encodable values.
"""
return {key: value
for key, value in os.environ.items()
if _is_encodable(value)}
|
[
"def",
"_environment_variables",
"(",
")",
"->",
"Dict",
"[",
"str",
",",
"str",
"]",
":",
"return",
"{",
"key",
":",
"value",
"for",
"key",
",",
"value",
"in",
"os",
".",
"environ",
".",
"items",
"(",
")",
"if",
"_is_encodable",
"(",
"value",
")",
"}"
] |
Wraps `os.environ` to filter out non-encodable values.
|
[
"Wraps",
"os",
".",
"environ",
"to",
"filter",
"out",
"non",
"-",
"encodable",
"values",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L85-L91
|
train
|
Returns a dictionary of environment variables that can be used to filter out non - encodable values.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(6354 - 6243) + chr(0b110010) + chr(1799 - 1746) + chr(2157 - 2104), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\x34' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(48) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(483 - 435) + '\x6f' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(9591 - 9480) + chr(0b1100 + 0o51) + chr(2788 - 2734), 0o10), ehT0Px3KOsy9('\x30' + chr(7187 - 7076) + chr(0b110111) + '\061', 45243 - 45235), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x33' + '\x35' + chr(0b10101 + 0o33), 17598 - 17590), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1 + 0o61) + chr(0b11011 + 0o26) + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1455 - 1344) + chr(51) + chr(0b101110 + 0o3) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\067' + chr(1667 - 1616), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1974 - 1863) + chr(0b101100 + 0o12) + chr(1005 - 954), 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\x31' + '\x33' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110100) + chr(1281 - 1227), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\062' + chr(525 - 475), 0b1000), ehT0Px3KOsy9(chr(768 - 720) + chr(0b110111 + 0o70) + '\x32' + chr(0b110000) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7608 - 7497) + chr(1333 - 1284) + chr(0b110010) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(10883 - 10772) + chr(50) + chr(52) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(622 - 571) + '\x36' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(1181 - 1070) + chr(0b10110 + 0o33) + '\067' + '\x34', 0o10), ehT0Px3KOsy9(chr(600 - 552) + chr(4054 - 3943) + '\x31' + '\066' + '\066', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1001010 + 0o45) + chr(50) + chr(0b110010 + 0o1) + chr(1893 - 1838), 0o10), ehT0Px3KOsy9(chr(1109 - 1061) + chr(12248 - 12137) + '\063' + chr(51) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(0b110100) + chr(1823 - 1772), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010100 + 0o33) + '\062' + chr(1241 - 1186) + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31' + chr(1386 - 1333) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1362 - 1314) + '\157' + '\x35' + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x36' + chr(50), 2621 - 2613), ehT0Px3KOsy9(chr(48) + chr(8345 - 8234) + chr(510 - 460) + chr(2796 - 2743) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(111) + '\062' + '\x37' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(604 - 554) + chr(1097 - 1044) + chr(0b110101), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(50) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(0b110110) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x34' + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + chr(0b1111 + 0o43) + '\062' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1010100 + 0o33) + chr(561 - 512) + chr(1993 - 1943) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110010 + 0o0) + chr(51), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(546 - 491), ord("\x08")), ehT0Px3KOsy9(chr(545 - 497) + '\x6f' + chr(0b100011 + 0o20) + '\063' + chr(0b11000 + 0o32), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + chr(48), 11129 - 11121), ehT0Px3KOsy9(chr(48) + chr(111) + chr(683 - 634) + chr(54) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1000100 + 0o53) + '\065' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x83'), chr(0b10011 + 0o121) + '\x65' + chr(0b1000011 + 0o40) + chr(127 - 16) + '\x64' + '\x65')(chr(117) + '\x74' + chr(0b1100110) + chr(0b11101 + 0o20) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hGYpHXjjxp0x() -> zBnV56fc6HrA[M8_cKLkHVB2V, M8_cKLkHVB2V]:
return {K3J4ZwSlE0sT: QmmgWUB13VCJ for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(oqhJDdMJfuwx.environ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\x182fgc\xdb\xc7\xa7h{e'), chr(100) + chr(0b1011 + 0o132) + chr(0b1100011) + chr(0b111000 + 0o67) + chr(3729 - 3629) + chr(1434 - 1333))(chr(0b1110101) + '\x74' + chr(0b1100110) + chr(1419 - 1374) + chr(0b111000)))() if l74ZLAtgT_6Q(QmmgWUB13VCJ)}
|
allenai/allennlp
|
allennlp/common/params.py
|
unflatten
|
def unflatten(flat_dict: Dict[str, Any]) -> Dict[str, Any]:
"""
Given a "flattened" dict with compound keys, e.g.
{"a.b": 0}
unflatten it:
{"a": {"b": 0}}
"""
unflat: Dict[str, Any] = {}
for compound_key, value in flat_dict.items():
curr_dict = unflat
parts = compound_key.split(".")
for key in parts[:-1]:
curr_value = curr_dict.get(key)
if key not in curr_dict:
curr_dict[key] = {}
curr_dict = curr_dict[key]
elif isinstance(curr_value, dict):
curr_dict = curr_value
else:
raise ConfigurationError("flattened dictionary is invalid")
if not isinstance(curr_dict, dict) or parts[-1] in curr_dict:
raise ConfigurationError("flattened dictionary is invalid")
else:
curr_dict[parts[-1]] = value
return unflat
|
python
|
def unflatten(flat_dict: Dict[str, Any]) -> Dict[str, Any]:
"""
Given a "flattened" dict with compound keys, e.g.
{"a.b": 0}
unflatten it:
{"a": {"b": 0}}
"""
unflat: Dict[str, Any] = {}
for compound_key, value in flat_dict.items():
curr_dict = unflat
parts = compound_key.split(".")
for key in parts[:-1]:
curr_value = curr_dict.get(key)
if key not in curr_dict:
curr_dict[key] = {}
curr_dict = curr_dict[key]
elif isinstance(curr_value, dict):
curr_dict = curr_value
else:
raise ConfigurationError("flattened dictionary is invalid")
if not isinstance(curr_dict, dict) or parts[-1] in curr_dict:
raise ConfigurationError("flattened dictionary is invalid")
else:
curr_dict[parts[-1]] = value
return unflat
|
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] |
Given a "flattened" dict with compound keys, e.g.
{"a.b": 0}
unflatten it:
{"a": {"b": 0}}
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L93-L119
|
train
|
Given a flattened dictionary with compound keys e. g. a. b. c returns a new dict with the flattened keys.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1011 + 0o144) + chr(1094 - 1043) + '\x33' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(574 - 523) + chr(1506 - 1451) + chr(0b110011 + 0o2), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + '\062' + '\x35' + chr(0b110010), 63243 - 63235), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + chr(51) + '\063' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101111 + 0o100) + chr(0b11000 + 0o31) + chr(1674 - 1625) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\060' + chr(1926 - 1815) + chr(0b101000 + 0o12) + '\x37' + chr(1518 - 1470), 0b1000), ehT0Px3KOsy9(chr(1878 - 1830) + chr(0b1100010 + 0o15) + '\x32' + '\x32' + chr(426 - 376), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x31' + '\067' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101000 + 0o16) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(7205 - 7094) + chr(0b110011) + '\062' + chr(1324 - 1270), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100101 + 0o14) + '\063' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(650 - 601) + chr(743 - 692) + '\062', 64784 - 64776), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\x6f' + chr(0b110010) + chr(1433 - 1381) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x32' + chr(0b110100) + chr(0b110000), 34434 - 34426), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b10010 + 0o40) + chr(0b11101 + 0o27), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(0b110111) + chr(0b10101 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + chr(641 - 588), 0b1000), ehT0Px3KOsy9(chr(423 - 375) + chr(0b1011100 + 0o23) + chr(1976 - 1927) + chr(812 - 757) + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9(chr(1713 - 1665) + chr(0b1101111) + chr(51) + chr(51) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4014 - 3903) + '\061' + '\x32' + chr(0b110100 + 0o1), 26537 - 26529), ehT0Px3KOsy9(chr(48) + chr(5500 - 5389) + '\064' + '\x36', 30107 - 30099), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(773 - 662) + chr(0b1010 + 0o47) + '\060' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(12167 - 12056) + chr(50) + chr(0b1001 + 0o56) + chr(1461 - 1407), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(11983 - 11872) + chr(432 - 383) + chr(0b110111) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(8167 - 8056) + chr(0b100 + 0o57) + chr(48) + chr(1384 - 1333), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + '\x31' + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\063' + '\x36' + chr(0b11111 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101101 + 0o2) + '\063' + '\x31' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(0b100011 + 0o21) + chr(0b10101 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x30' + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6366 - 6255) + '\x37' + '\x36', 38469 - 38461), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\x31' + '\062' + chr(816 - 768), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1664 - 1613) + chr(0b1100 + 0o44) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(51) + chr(0b10011 + 0o41) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(2200 - 2152) + '\x6f' + chr(0b111 + 0o60), 0o10), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b110101) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110010) + '\x30' + chr(0b110 + 0o52), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b111011 + 0o64) + chr(0b110010) + '\065' + chr(1087 - 1032), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011110 + 0o21) + '\x33' + chr(927 - 876) + '\064', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(100) + '\x65' + chr(0b1100011) + chr(0b10110 + 0o131) + chr(0b1100100) + chr(101))(chr(7409 - 7292) + chr(0b10011 + 0o141) + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def L6gu19DVXlJ4(OBe_w5cyzaUc) -> zBnV56fc6HrA[M8_cKLkHVB2V, R71nhlWr3XQi]:
noBwtzb4MhfL = {}
for (Wg2qSJfhMqyt, QmmgWUB13VCJ) in xafqLlk3kkUe(OBe_w5cyzaUc, xafqLlk3kkUe(SXOLrMavuUCe(b'\x92\x87\xdc\xbf\x01\xe2\xa15Y\x85\x15c'), chr(100) + chr(10113 - 10012) + chr(1076 - 977) + chr(111) + chr(0b1100100) + '\145')(chr(0b1001001 + 0o54) + chr(0b1101001 + 0o13) + chr(102) + chr(45) + chr(0b111000)))():
NsS1Rq9E13PS = noBwtzb4MhfL
gIfWK5W_pmM4 = Wg2qSJfhMqyt.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2'), chr(0b1010101 + 0o17) + chr(0b1010001 + 0o24) + chr(0b111 + 0o134) + chr(111) + chr(0b1010101 + 0o17) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(8865 - 8763) + '\055' + chr(0b1101 + 0o53)))
for K3J4ZwSlE0sT in gIfWK5W_pmM4[:-ehT0Px3KOsy9(chr(48) + chr(111) + chr(1044 - 995), 48101 - 48093)]:
qMUf4LBdSn2a = NsS1Rq9E13PS.get(K3J4ZwSlE0sT)
if K3J4ZwSlE0sT not in NsS1Rq9E13PS:
NsS1Rq9E13PS[K3J4ZwSlE0sT] = {}
NsS1Rq9E13PS = NsS1Rq9E13PS[K3J4ZwSlE0sT]
elif PlSM16l2KDPD(qMUf4LBdSn2a, wLqBDw8l0eIm):
NsS1Rq9E13PS = qMUf4LBdSn2a
else:
raise h0iXqtiKVeKg(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x91\xcb\xae<\xdd\xfc\x19Q\xf693\xc6\xd4\xbd\xd4C\x18\xac,\x06(\xcd_\xaa\xe3\x82\xa8\xcd\xe9Z'), chr(100) + chr(0b11100 + 0o111) + chr(99) + chr(10200 - 10089) + chr(0b1100100) + chr(4436 - 4335))(chr(0b1110101 + 0o0) + '\x74' + chr(102) + '\x2d' + chr(2868 - 2812)))
if not PlSM16l2KDPD(NsS1Rq9E13PS, wLqBDw8l0eIm) or gIfWK5W_pmM4[-ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1000101 + 0o52) + '\061', 8)] in NsS1Rq9E13PS:
raise h0iXqtiKVeKg(xafqLlk3kkUe(SXOLrMavuUCe(b'\xba\x91\xcb\xae<\xdd\xfc\x19Q\xf693\xc6\xd4\xbd\xd4C\x18\xac,\x06(\xcd_\xaa\xe3\x82\xa8\xcd\xe9Z'), chr(6748 - 6648) + chr(0b1 + 0o144) + chr(0b1000000 + 0o43) + '\157' + '\x64' + chr(0b1000111 + 0o36))(chr(0b10100 + 0o141) + chr(2699 - 2583) + '\146' + chr(45) + chr(0b111000)))
else:
NsS1Rq9E13PS[gIfWK5W_pmM4[-ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o54), 8)]] = QmmgWUB13VCJ
return noBwtzb4MhfL
|
allenai/allennlp
|
allennlp/common/params.py
|
with_fallback
|
def with_fallback(preferred: Dict[str, Any], fallback: Dict[str, Any]) -> Dict[str, Any]:
"""
Deep merge two dicts, preferring values from `preferred`.
"""
def merge(preferred_value: Any, fallback_value: Any) -> Any:
if isinstance(preferred_value, dict) and isinstance(fallback_value, dict):
return with_fallback(preferred_value, fallback_value)
elif isinstance(preferred_value, dict) and isinstance(fallback_value, list):
# treat preferred_value as a sparse list, where each key is an index to be overridden
merged_list = fallback_value
for elem_key, preferred_element in preferred_value.items():
try:
index = int(elem_key)
merged_list[index] = merge(preferred_element, fallback_value[index])
except ValueError:
raise ConfigurationError("could not merge dicts - the preferred dict contains "
f"invalid keys (key {elem_key} is not a valid list index)")
except IndexError:
raise ConfigurationError("could not merge dicts - the preferred dict contains "
f"invalid keys (key {index} is out of bounds)")
return merged_list
else:
return copy.deepcopy(preferred_value)
preferred_keys = set(preferred.keys())
fallback_keys = set(fallback.keys())
common_keys = preferred_keys & fallback_keys
merged: Dict[str, Any] = {}
for key in preferred_keys - fallback_keys:
merged[key] = copy.deepcopy(preferred[key])
for key in fallback_keys - preferred_keys:
merged[key] = copy.deepcopy(fallback[key])
for key in common_keys:
preferred_value = preferred[key]
fallback_value = fallback[key]
merged[key] = merge(preferred_value, fallback_value)
return merged
|
python
|
def with_fallback(preferred: Dict[str, Any], fallback: Dict[str, Any]) -> Dict[str, Any]:
"""
Deep merge two dicts, preferring values from `preferred`.
"""
def merge(preferred_value: Any, fallback_value: Any) -> Any:
if isinstance(preferred_value, dict) and isinstance(fallback_value, dict):
return with_fallback(preferred_value, fallback_value)
elif isinstance(preferred_value, dict) and isinstance(fallback_value, list):
# treat preferred_value as a sparse list, where each key is an index to be overridden
merged_list = fallback_value
for elem_key, preferred_element in preferred_value.items():
try:
index = int(elem_key)
merged_list[index] = merge(preferred_element, fallback_value[index])
except ValueError:
raise ConfigurationError("could not merge dicts - the preferred dict contains "
f"invalid keys (key {elem_key} is not a valid list index)")
except IndexError:
raise ConfigurationError("could not merge dicts - the preferred dict contains "
f"invalid keys (key {index} is out of bounds)")
return merged_list
else:
return copy.deepcopy(preferred_value)
preferred_keys = set(preferred.keys())
fallback_keys = set(fallback.keys())
common_keys = preferred_keys & fallback_keys
merged: Dict[str, Any] = {}
for key in preferred_keys - fallback_keys:
merged[key] = copy.deepcopy(preferred[key])
for key in fallback_keys - preferred_keys:
merged[key] = copy.deepcopy(fallback[key])
for key in common_keys:
preferred_value = preferred[key]
fallback_value = fallback[key]
merged[key] = merge(preferred_value, fallback_value)
return merged
|
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] |
Deep merge two dicts, preferring values from `preferred`.
|
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"Deep",
"merge",
"two",
"dicts",
"preferring",
"values",
"from",
"preferred",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L121-L161
|
train
|
Deep merge two dicts preferring values from fallback.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b10011 + 0o37) + chr(1095 - 1043), 62249 - 62241), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(2029 - 1975), ord("\x08")), ehT0Px3KOsy9('\060' + chr(975 - 864) + '\x32' + chr(48) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1980 - 1930) + chr(0b100100 + 0o15) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + '\x36' + chr(1827 - 1774), 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b110111 + 0o70) + chr(0b110001) + chr(0b10110 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9177 - 9066) + chr(0b1111 + 0o44) + chr(0b100010 + 0o21) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110100) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + '\x32' + '\x32' + chr(1027 - 979), 19182 - 19174), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\x35' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110001) + chr(0b10100 + 0o42) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(50) + chr(930 - 879), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110100) + chr(1158 - 1103), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3756 - 3645) + '\062' + chr(2214 - 2166) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(8178 - 8067) + chr(49) + '\x33' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1992 - 1944) + chr(0b100001 + 0o116) + chr(0b1100 + 0o47) + chr(0b110111) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(1690 - 1637) + chr(0b11011 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x37' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(514 - 465) + chr(1952 - 1901) + chr(0b110 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(1790 - 1742) + '\x6f' + chr(50) + chr(0b0 + 0o62) + chr(0b110110), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(53) + chr(0b100111 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7641 - 7530) + '\x33' + chr(0b110 + 0o55) + chr(859 - 811), 24008 - 24000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x30' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x35' + '\x31', 55431 - 55423), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100101 + 0o21) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b1111 + 0o41), 20434 - 20426), ehT0Px3KOsy9(chr(48) + chr(0b11101 + 0o122) + chr(0b110010) + '\x35' + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o3) + '\062' + '\060', 56957 - 56949), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + chr(515 - 465) + chr(1544 - 1494) + '\060', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1027 - 976) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(357 - 246) + '\x32' + chr(0b10011 + 0o44), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(1997 - 1942) + chr(0b110011), 58453 - 58445), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(506 - 457) + chr(1072 - 1020) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x32' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(974 - 926) + '\x6f' + chr(0b1010 + 0o47) + '\x37' + chr(0b10001 + 0o44), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(94 - 41) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'z'), '\x64' + chr(0b1010 + 0o133) + chr(1031 - 932) + '\x6f' + chr(0b101101 + 0o67) + chr(627 - 526))(chr(2577 - 2460) + chr(0b1101100 + 0o10) + chr(0b100 + 0o142) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RMpbQE9sq6dx(aH3XNK_PgGfh, jYowHifDediA) -> zBnV56fc6HrA[M8_cKLkHVB2V, R71nhlWr3XQi]:
def mP5l0dPhBkus(GafT93OzoqXo, foZmYWhNBZ8Z) -> R71nhlWr3XQi:
if PlSM16l2KDPD(GafT93OzoqXo, wLqBDw8l0eIm) and PlSM16l2KDPD(foZmYWhNBZ8Z, wLqBDw8l0eIm):
return RMpbQE9sq6dx(GafT93OzoqXo, foZmYWhNBZ8Z)
elif PlSM16l2KDPD(GafT93OzoqXo, wLqBDw8l0eIm) and PlSM16l2KDPD(foZmYWhNBZ8Z, YyaZ4tpXu4lf):
Qn7zk7ngSdZi = foZmYWhNBZ8Z
for (m4lGqxE_FOvH, OrmBE328fuR2) in xafqLlk3kkUe(GafT93OzoqXo, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1at\xf0\xed|Q\xecm\xfc\xb9<\xaa'), chr(100) + '\x65' + chr(2629 - 2530) + chr(0b10101 + 0o132) + chr(3695 - 3595) + '\145')(chr(0b10000 + 0o145) + chr(1497 - 1381) + '\146' + chr(0b1011 + 0o42) + chr(0b11010 + 0o36)))():
try:
XdowRbJKZWL9 = ehT0Px3KOsy9(m4lGqxE_FOvH)
Qn7zk7ngSdZi[XdowRbJKZWL9] = mP5l0dPhBkus(OrmBE328fuR2, foZmYWhNBZ8Z[XdowRbJKZWL9])
except q1QCh3W88sgk:
raise h0iXqtiKVeKg(f'could not merge dicts - the preferred dict contains invalid keys (key {m4lGqxE_FOvH} is not a valid list index)')
except _fsda0v2_OKU:
raise h0iXqtiKVeKg(f'could not merge dicts - the preferred dict contains invalid keys (key {XdowRbJKZWL9} is out of bounds)')
return Qn7zk7ngSdZi
else:
return xafqLlk3kkUe(igThHS4jwVsa, xafqLlk3kkUe(SXOLrMavuUCe(b'0k\xe3\xf8Vd\xaf]'), chr(0b1100100) + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(0b1001010 + 0o45) + chr(0b1100100) + chr(101))('\165' + chr(0b1110100) + chr(9265 - 9163) + chr(0b10110 + 0o27) + '\070'))(GafT93OzoqXo)
_8VjiFkr1Wjs = MVEN8G6CxlvR(aH3XNK_PgGfh.keys())
xMd1MNkx2Pxu = MVEN8G6CxlvR(jYowHifDediA.keys())
iJt8ss5PjU5m = _8VjiFkr1Wjs & xMd1MNkx2Pxu
dEDdb0D1WnBU = {}
for K3J4ZwSlE0sT in _8VjiFkr1Wjs - xMd1MNkx2Pxu:
dEDdb0D1WnBU[K3J4ZwSlE0sT] = igThHS4jwVsa.deepcopy(aH3XNK_PgGfh[K3J4ZwSlE0sT])
for K3J4ZwSlE0sT in xMd1MNkx2Pxu - _8VjiFkr1Wjs:
dEDdb0D1WnBU[K3J4ZwSlE0sT] = igThHS4jwVsa.deepcopy(jYowHifDediA[K3J4ZwSlE0sT])
for K3J4ZwSlE0sT in iJt8ss5PjU5m:
GafT93OzoqXo = aH3XNK_PgGfh[K3J4ZwSlE0sT]
foZmYWhNBZ8Z = jYowHifDediA[K3J4ZwSlE0sT]
dEDdb0D1WnBU[K3J4ZwSlE0sT] = mP5l0dPhBkus(GafT93OzoqXo, foZmYWhNBZ8Z)
return dEDdb0D1WnBU
|
allenai/allennlp
|
allennlp/common/params.py
|
pop_choice
|
def pop_choice(params: Dict[str, Any],
key: str,
choices: List[Any],
default_to_first_choice: bool = False,
history: str = "?.") -> Any:
"""
Performs the same function as :func:`Params.pop_choice`, but is required in order to deal with
places that the Params object is not welcome, such as inside Keras layers. See the docstring
of that method for more detail on how this function works.
This method adds a ``history`` parameter, in the off-chance that you know it, so that we can
reproduce :func:`Params.pop_choice` exactly. We default to using "?." if you don't know the
history, so you'll have to fix that in the log if you want to actually recover the logged
parameters.
"""
value = Params(params, history).pop_choice(key, choices, default_to_first_choice)
return value
|
python
|
def pop_choice(params: Dict[str, Any],
key: str,
choices: List[Any],
default_to_first_choice: bool = False,
history: str = "?.") -> Any:
"""
Performs the same function as :func:`Params.pop_choice`, but is required in order to deal with
places that the Params object is not welcome, such as inside Keras layers. See the docstring
of that method for more detail on how this function works.
This method adds a ``history`` parameter, in the off-chance that you know it, so that we can
reproduce :func:`Params.pop_choice` exactly. We default to using "?." if you don't know the
history, so you'll have to fix that in the log if you want to actually recover the logged
parameters.
"""
value = Params(params, history).pop_choice(key, choices, default_to_first_choice)
return value
|
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"]",
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"choices",
":",
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"[",
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"pop_choice",
"(",
"key",
",",
"choices",
",",
"default_to_first_choice",
")",
"return",
"value"
] |
Performs the same function as :func:`Params.pop_choice`, but is required in order to deal with
places that the Params object is not welcome, such as inside Keras layers. See the docstring
of that method for more detail on how this function works.
This method adds a ``history`` parameter, in the off-chance that you know it, so that we can
reproduce :func:`Params.pop_choice` exactly. We default to using "?." if you don't know the
history, so you'll have to fix that in the log if you want to actually recover the logged
parameters.
|
[
"Performs",
"the",
"same",
"function",
"as",
":",
"func",
":",
"Params",
".",
"pop_choice",
"but",
"is",
"required",
"in",
"order",
"to",
"deal",
"with",
"places",
"that",
"the",
"Params",
"object",
"is",
"not",
"welcome",
"such",
"as",
"inside",
"Keras",
"layers",
".",
"See",
"the",
"docstring",
"of",
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"method",
"for",
"more",
"detail",
"on",
"how",
"this",
"function",
"works",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L518-L534
|
train
|
Pop a choice from a list of parameters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110101) + chr(0b100 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(1221 - 1172) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o55) + '\061' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(224 - 176) + chr(0b1101000 + 0o7) + chr(2379 - 2328) + chr(1451 - 1397) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(51) + chr(2173 - 2125) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(0b101111 + 0o100) + chr(1359 - 1309) + chr(55) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b1001000 + 0o47) + chr(139 - 90) + chr(253 - 201) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(49) + chr(55), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11110 + 0o25) + chr(1540 - 1487), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(571 - 460) + chr(0b110011) + chr(0b110001 + 0o6) + chr(1083 - 1031), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1011 + 0o47) + '\x33' + chr(0b11011 + 0o26), 1609 - 1601), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(49), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + chr(1781 - 1732) + '\x30' + chr(585 - 530), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(541 - 492) + chr(50) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + '\063' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + '\061' + chr(0b110000), 5649 - 5641), ehT0Px3KOsy9(chr(1394 - 1346) + '\157' + '\062' + chr(0b101 + 0o60) + chr(0b10110 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(0b110011) + chr(54) + chr(720 - 669), 42878 - 42870), ehT0Px3KOsy9(chr(897 - 849) + chr(111) + chr(0b10001 + 0o40) + '\x32' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b10011 + 0o37) + chr(0b100 + 0o56) + '\063', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(742 - 690) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\x37', 2183 - 2175), ehT0Px3KOsy9('\x30' + chr(285 - 174) + chr(0b10 + 0o62) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + chr(51) + chr(0b110001), 47979 - 47971), ehT0Px3KOsy9('\x30' + chr(8673 - 8562) + '\061', 50243 - 50235), ehT0Px3KOsy9(chr(254 - 206) + chr(0b10100 + 0o133) + '\x31' + chr(454 - 400) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\067' + chr(983 - 932), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\063', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\063' + '\061' + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9710 - 9599) + chr(50) + chr(0b110111) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100 + 0o57) + '\x33' + chr(0b10010 + 0o37), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b101110 + 0o10) + '\065', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(977 - 926) + chr(54) + chr(0b10000 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(12132 - 12021) + chr(1438 - 1389) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(320 - 272), 46494 - 46486), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\061' + chr(0b11000 + 0o30) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110010) + chr(0b10000 + 0o47) + chr(0b11000 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(0b101101 + 0o3) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x33' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10462 - 10351) + chr(0b1110 + 0o45) + '\061' + '\x34', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2'), chr(9468 - 9368) + chr(0b1001010 + 0o33) + chr(8124 - 8025) + chr(0b11101 + 0o122) + '\144' + chr(2234 - 2133))(chr(117) + '\164' + '\x66' + chr(0b11100 + 0o21) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k9L24JPxcIn3(nEbJZ4wfte2w, K3J4ZwSlE0sT, XPnoMuK4S7nS, _jius2SkCpD2=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\060', 8), sD1K7SLfPnDB=xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3!'), chr(100) + chr(101) + chr(99) + chr(111) + chr(0b1100100) + chr(0b101011 + 0o72))('\165' + chr(0b1110100) + chr(4157 - 4055) + chr(45) + chr(1757 - 1701))) -> R71nhlWr3XQi:
QmmgWUB13VCJ = pboYvIgFA4qm(nEbJZ4wfte2w, sD1K7SLfPnDB).pop_choice(K3J4ZwSlE0sT, XPnoMuK4S7nS, _jius2SkCpD2)
return QmmgWUB13VCJ
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.add_file_to_archive
|
def add_file_to_archive(self, name: str) -> None:
"""
Any class in its ``from_params`` method can request that some of its
input files be added to the archive by calling this method.
For example, if some class ``A`` had an ``input_file`` parameter, it could call
```
params.add_file_to_archive("input_file")
```
which would store the supplied value for ``input_file`` at the key
``previous.history.and.then.input_file``. The ``files_to_archive`` dict
is shared with child instances via the ``_check_is_dict`` method, so that
the final mapping can be retrieved from the top-level ``Params`` object.
NOTE: You must call ``add_file_to_archive`` before you ``pop()``
the parameter, because the ``Params`` instance looks up the value
of the filename inside itself.
If the ``loading_from_archive`` flag is True, this will be a no-op.
"""
if not self.loading_from_archive:
self.files_to_archive[f"{self.history}{name}"] = cached_path(self.get(name))
|
python
|
def add_file_to_archive(self, name: str) -> None:
"""
Any class in its ``from_params`` method can request that some of its
input files be added to the archive by calling this method.
For example, if some class ``A`` had an ``input_file`` parameter, it could call
```
params.add_file_to_archive("input_file")
```
which would store the supplied value for ``input_file`` at the key
``previous.history.and.then.input_file``. The ``files_to_archive`` dict
is shared with child instances via the ``_check_is_dict`` method, so that
the final mapping can be retrieved from the top-level ``Params`` object.
NOTE: You must call ``add_file_to_archive`` before you ``pop()``
the parameter, because the ``Params`` instance looks up the value
of the filename inside itself.
If the ``loading_from_archive`` flag is True, this will be a no-op.
"""
if not self.loading_from_archive:
self.files_to_archive[f"{self.history}{name}"] = cached_path(self.get(name))
|
[
"def",
"add_file_to_archive",
"(",
"self",
",",
"name",
":",
"str",
")",
"->",
"None",
":",
"if",
"not",
"self",
".",
"loading_from_archive",
":",
"self",
".",
"files_to_archive",
"[",
"f\"{self.history}{name}\"",
"]",
"=",
"cached_path",
"(",
"self",
".",
"get",
"(",
"name",
")",
")"
] |
Any class in its ``from_params`` method can request that some of its
input files be added to the archive by calling this method.
For example, if some class ``A`` had an ``input_file`` parameter, it could call
```
params.add_file_to_archive("input_file")
```
which would store the supplied value for ``input_file`` at the key
``previous.history.and.then.input_file``. The ``files_to_archive`` dict
is shared with child instances via the ``_check_is_dict`` method, so that
the final mapping can be retrieved from the top-level ``Params`` object.
NOTE: You must call ``add_file_to_archive`` before you ``pop()``
the parameter, because the ``Params`` instance looks up the value
of the filename inside itself.
If the ``loading_from_archive`` flag is True, this will be a no-op.
|
[
"Any",
"class",
"in",
"its",
"from_params",
"method",
"can",
"request",
"that",
"some",
"of",
"its",
"input",
"files",
"be",
"added",
"to",
"the",
"archive",
"by",
"calling",
"this",
"method",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L209-L232
|
train
|
Add a file to the archive.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101 + 0o53) + '\157' + '\061' + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(425 - 314) + chr(0b110010) + chr(0b1001 + 0o56) + chr(1054 - 1001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + '\x31' + '\x35' + chr(0b110000 + 0o1), 2877 - 2869), ehT0Px3KOsy9('\060' + '\157' + chr(0b11010 + 0o30) + '\x33' + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + chr(0b1111 + 0o46) + chr(49), 30905 - 30897), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\x6f' + chr(2501 - 2450) + chr(0b110 + 0o55) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(917 - 868) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x32' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1340 - 1292) + chr(111) + '\x33' + chr(0b10010 + 0o40) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(4783 - 4672) + chr(248 - 197) + chr(1550 - 1499) + '\063', 8), ehT0Px3KOsy9(chr(1449 - 1401) + '\x6f' + chr(51) + chr(0b100110 + 0o14) + chr(1258 - 1207), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b10000 + 0o46) + '\064', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + chr(1615 - 1565) + '\x37', 8), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\157' + chr(0b100011 + 0o20) + '\065' + chr(1385 - 1337), 60571 - 60563), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1615 - 1566) + chr(0b10101 + 0o42) + chr(54), 42346 - 42338), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + '\x32' + '\x31' + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + chr(51) + chr(51), 0o10), ehT0Px3KOsy9(chr(706 - 658) + chr(111) + '\063' + '\x34' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(1112 - 1064) + chr(8539 - 8428) + chr(51) + chr(0b100100 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(53), 0b1000), ehT0Px3KOsy9(chr(419 - 371) + chr(1656 - 1545) + chr(0b110110) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1412 - 1364) + '\157' + chr(312 - 262) + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\157' + '\x31' + '\065' + chr(1859 - 1807), 0o10), ehT0Px3KOsy9(chr(48) + chr(4236 - 4125) + chr(664 - 615) + '\x36' + '\x31', 44247 - 44239), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(4785 - 4674) + '\x32' + '\x34' + chr(0b100011 + 0o21), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2158 - 2104) + chr(941 - 891), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b110001 + 0o76) + '\x31' + '\064' + chr(0b110010), 16026 - 16018), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2765 - 2654) + chr(0b110010) + chr(0b110111) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(3699 - 3588) + chr(0b110010) + chr(0b11 + 0o57) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + chr(51) + chr(52) + chr(0b1101 + 0o47), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(0b100111 + 0o16) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011), 55830 - 55822), ehT0Px3KOsy9('\x30' + '\x6f' + chr(319 - 270) + chr(48) + chr(0b11010 + 0o32), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + chr(0b110011 + 0o0) + chr(0b110011) + '\064', 0o10), ehT0Px3KOsy9(chr(2184 - 2136) + '\x6f' + chr(0b110101) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(539 - 489) + chr(0b110001) + '\x31', 39569 - 39561), ehT0Px3KOsy9(chr(48) + chr(3978 - 3867) + chr(0b110011) + chr(2350 - 2301) + chr(0b11110 + 0o23), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(3033 - 2922) + '\x35' + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'Q'), chr(6338 - 6238) + '\x65' + '\x63' + chr(0b1101111) + '\x64' + '\x65')(chr(117) + '\x74' + '\x66' + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eTdMKGJaXCbl(oVre8I6UXc3b, AIvJRzLdDfgF) -> None:
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xd2\x08\xf9\xc0\xb5m\xc8\xb1\xa9\xbcY\x88\x89k\x1d\xe52\x96}'), '\144' + chr(0b11101 + 0o110) + '\x63' + chr(111) + chr(0b1100100) + '\x65')(chr(0b1010110 + 0o37) + chr(0b11100 + 0o130) + chr(9389 - 9287) + '\055' + chr(0b11 + 0o65))):
oVre8I6UXc3b.pc43UazYMoMT[f'{oVre8I6UXc3b.sD1K7SLfPnDB}{AIvJRzLdDfgF}'] = MygwJnRV_fCw(oVre8I6UXc3b.get(AIvJRzLdDfgF))
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.pop
|
def pop(self, key: str, default: Any = DEFAULT) -> Any:
"""
Performs the functionality associated with dict.pop(key), along with checking for
returned dictionaries, replacing them with Param objects with an updated history.
If ``key`` is not present in the dictionary, and no default was specified, we raise a
``ConfigurationError``, instead of the typical ``KeyError``.
"""
if default is self.DEFAULT:
try:
value = self.params.pop(key)
except KeyError:
raise ConfigurationError("key \"{}\" is required at location \"{}\"".format(key, self.history))
else:
value = self.params.pop(key, default)
if not isinstance(value, dict):
logger.info(self.history + key + " = " + str(value)) # type: ignore
return self._check_is_dict(key, value)
|
python
|
def pop(self, key: str, default: Any = DEFAULT) -> Any:
"""
Performs the functionality associated with dict.pop(key), along with checking for
returned dictionaries, replacing them with Param objects with an updated history.
If ``key`` is not present in the dictionary, and no default was specified, we raise a
``ConfigurationError``, instead of the typical ``KeyError``.
"""
if default is self.DEFAULT:
try:
value = self.params.pop(key)
except KeyError:
raise ConfigurationError("key \"{}\" is required at location \"{}\"".format(key, self.history))
else:
value = self.params.pop(key, default)
if not isinstance(value, dict):
logger.info(self.history + key + " = " + str(value)) # type: ignore
return self._check_is_dict(key, value)
|
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"(",
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",",
"value",
")"
] |
Performs the functionality associated with dict.pop(key), along with checking for
returned dictionaries, replacing them with Param objects with an updated history.
If ``key`` is not present in the dictionary, and no default was specified, we raise a
``ConfigurationError``, instead of the typical ``KeyError``.
|
[
"Performs",
"the",
"functionality",
"associated",
"with",
"dict",
".",
"pop",
"(",
"key",
")",
"along",
"with",
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"for",
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"objects",
"with",
"an",
"updated",
"history",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L235-L252
|
train
|
Removes a key from the dictionary and returns it.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(5537 - 5426) + chr(50) + chr(0b110000) + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o45) + '\x33' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111 + 0o0) + '\065' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(49) + chr(49) + chr(0b110011), 64976 - 64968), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b1 + 0o66) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101001 + 0o11) + '\x34' + '\063', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(9173 - 9062) + '\x32' + chr(0b100101 + 0o15) + chr(1694 - 1645), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101111 + 0o2) + chr(0b110101) + chr(1671 - 1618), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(676 - 626) + chr(0b11011 + 0o25) + chr(1943 - 1890), 0b1000), ehT0Px3KOsy9(chr(48) + chr(1480 - 1369) + chr(0b110010) + chr(0b110110) + chr(428 - 379), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(54) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(0b110101) + chr(2185 - 2133), 39071 - 39063), ehT0Px3KOsy9('\060' + '\157' + chr(0b101010 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + chr(51) + chr(0b101101 + 0o11) + chr(1136 - 1087), 0o10), ehT0Px3KOsy9('\x30' + chr(10954 - 10843) + '\065' + chr(0b110100 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(55) + chr(0b110010), 57420 - 57412), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110001) + chr(0b101011 + 0o7) + chr(0b110101), 22077 - 22069), ehT0Px3KOsy9(chr(1533 - 1485) + chr(0b101011 + 0o104) + chr(0b10110 + 0o35) + '\x35' + chr(0b101100 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(12008 - 11897) + chr(49) + chr(640 - 591) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(7398 - 7287) + chr(50) + chr(0b0 + 0o64) + '\065', 37948 - 37940), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x31' + '\062', 0o10), ehT0Px3KOsy9(chr(1791 - 1743) + chr(111) + chr(0b110010) + chr(0b10110 + 0o36) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(51) + chr(55), 56252 - 56244), ehT0Px3KOsy9('\x30' + chr(11416 - 11305) + '\x32' + chr(0b100101 + 0o22) + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1805 - 1752), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x37' + chr(0b1110 + 0o46), 62524 - 62516), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(426 - 377) + chr(0b110110) + chr(976 - 926), 10476 - 10468), ehT0Px3KOsy9(chr(48) + chr(0b11110 + 0o121) + chr(0b110101) + chr(2347 - 2296), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + chr(1674 - 1623), 8), ehT0Px3KOsy9('\x30' + chr(1404 - 1293) + chr(1853 - 1802), 0b1000), ehT0Px3KOsy9(chr(576 - 528) + chr(0b101011 + 0o104) + chr(0b100000 + 0o21) + chr(0b10100 + 0o36) + chr(0b101 + 0o61), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + '\066' + chr(0b1110 + 0o44), 13374 - 13366), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + '\x33' + chr(52) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b100 + 0o153) + '\x31' + chr(0b100111 + 0o20) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(4136 - 4025) + chr(0b1100 + 0o45) + chr(1305 - 1250) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1100101 + 0o12) + '\x33' + '\060' + chr(49), 62272 - 62264), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(2259 - 2208) + '\061' + chr(0b101010 + 0o11), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11010 + 0o27) + chr(0b110 + 0o55) + chr(0b110011), 25830 - 25822), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11001 + 0o31) + '\067' + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(51) + chr(1234 - 1184), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(87 - 39) + chr(0b1101111) + chr(2464 - 2411) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), chr(100) + chr(10123 - 10022) + chr(0b1100001 + 0o2) + chr(11442 - 11331) + '\x64' + chr(101))(chr(0b1001 + 0o154) + '\164' + chr(102) + chr(0b101101 + 0o0) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gsHDmKyn_HiH(oVre8I6UXc3b, K3J4ZwSlE0sT, t1v7afVhe01t=qskXFveriimF) -> R71nhlWr3XQi:
if t1v7afVhe01t is xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xdcj\n\xe9\xef\xc5'), chr(0b1100100) + chr(2480 - 2379) + chr(99) + chr(111) + '\x64' + '\x65')(chr(0b1101100 + 0o11) + '\x74' + chr(10207 - 10105) + chr(0b101101) + chr(56))):
try:
QmmgWUB13VCJ = oVre8I6UXc3b.params.pop(K3J4ZwSlE0sT)
except RQ6CSRrFArYB:
raise h0iXqtiKVeKg(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xef\xfcUk\x9e\xd8\xecO\xa5\xd8A\xccw\x94^\x8f<\x98+\xc1*\xc3+\x9biS\x11J_j9\x9c\xc3]\x05\xbc\xe9'), chr(0b100101 + 0o77) + chr(0b1000000 + 0o45) + chr(6019 - 5920) + chr(0b1101111) + chr(1070 - 970) + chr(0b1100101))('\x75' + chr(0b100010 + 0o122) + '\146' + '\x2d' + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2\xad^$\xf4\xc2\xc2^\xd5\xc1W\x86'), chr(0b1 + 0o143) + '\145' + chr(0b1100011) + '\157' + '\144' + chr(9579 - 9478))(chr(117) + chr(116) + chr(0b110100 + 0o62) + chr(0b101101) + chr(0b100 + 0o64)))(K3J4ZwSlE0sT, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xdd\x1d\x00\x8b\xf0\xdd\x0b\xd5\xdfv\xae'), chr(0b1100100) + chr(0b100011 + 0o102) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(0b1001 + 0o154) + chr(0b1110100) + chr(0b1100110) + chr(0b1110 + 0o37) + '\x38'))))
else:
QmmgWUB13VCJ = oVre8I6UXc3b.params.pop(K3J4ZwSlE0sT, t1v7afVhe01t)
if not PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\xaed3\xc9\xc0\xf6Z\xef\xddh\x87'), chr(9720 - 9620) + chr(0b101100 + 0o71) + '\143' + chr(111) + chr(0b1100100) + '\145')('\x75' + chr(2065 - 1949) + chr(0b1100110) + '\055' + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7\xdd\x1d\x00\x8b\xf0\xdd\x0b\xd5\xdfv\xae'), '\144' + chr(101) + chr(9157 - 9058) + chr(0b1001000 + 0o47) + '\144' + '\145')(chr(0b1110101) + chr(9602 - 9486) + '\146' + chr(2020 - 1975) + '\x38')) + K3J4ZwSlE0sT + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4\xa4\x0c'), '\144' + chr(0b101000 + 0o75) + chr(0b111110 + 0o45) + chr(0b1011111 + 0o20) + chr(0b110010 + 0o62) + '\145')('\x75' + '\164' + chr(102) + chr(0b100000 + 0o15) + chr(0b111000)) + M8_cKLkHVB2V(QmmgWUB13VCJ))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xfaD.\xdf\xc8\xce\x04\xf6\xeeV\x85f\x85'), chr(0b1100100) + chr(4679 - 4578) + chr(99) + chr(0b1001000 + 0o47) + chr(0b1100100) + '\145')('\165' + chr(116) + chr(6855 - 6753) + chr(45) + chr(56)))(K3J4ZwSlE0sT, QmmgWUB13VCJ)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.pop_int
|
def pop_int(self, key: str, default: Any = DEFAULT) -> int:
"""
Performs a pop and coerces to an int.
"""
value = self.pop(key, default)
if value is None:
return None
else:
return int(value)
|
python
|
def pop_int(self, key: str, default: Any = DEFAULT) -> int:
"""
Performs a pop and coerces to an int.
"""
value = self.pop(key, default)
if value is None:
return None
else:
return int(value)
|
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"self",
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"key",
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",",
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":",
"Any",
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"DEFAULT",
")",
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"=",
"self",
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"pop",
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"key",
",",
"default",
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"if",
"value",
"is",
"None",
":",
"return",
"None",
"else",
":",
"return",
"int",
"(",
"value",
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] |
Performs a pop and coerces to an int.
|
[
"Performs",
"a",
"pop",
"and",
"coerces",
"to",
"an",
"int",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L254-L262
|
train
|
Takes a key and returns the corresponding int value.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101000 + 0o7) + '\064' + '\066', 62519 - 62511), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(111) + chr(0b110011) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9(chr(2041 - 1993) + '\157' + chr(792 - 742) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(48) + chr(7671 - 7560) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001 + 0o146) + '\062' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(554 - 502) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2179 - 2131) + '\x6f' + '\x31' + chr(0b110001) + '\060', 51668 - 51660), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b110000) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(50) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(3999 - 3888) + '\061' + '\x35' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(53) + chr(73 - 25), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(1523 - 1468), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + '\063' + chr(0b110101), 48144 - 48136), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x31' + chr(0b110110) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b101101 + 0o102) + chr(1885 - 1833) + chr(0b11111 + 0o23), 40547 - 40539), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + '\062' + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2256 - 2206) + chr(2784 - 2729), 8), ehT0Px3KOsy9(chr(48) + chr(2438 - 2327) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(51) + '\x37' + chr(2287 - 2238), 33762 - 33754), ehT0Px3KOsy9(chr(1747 - 1699) + chr(6168 - 6057) + chr(0b101001 + 0o15) + chr(1814 - 1761), 0o10), ehT0Px3KOsy9(chr(1592 - 1544) + '\157' + '\x32' + chr(0b1101 + 0o51), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(12131 - 12020) + chr(0b110001) + chr(48) + '\062', 35914 - 35906), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(50) + chr(328 - 277) + chr(0b10000 + 0o45), 14499 - 14491), ehT0Px3KOsy9(chr(48) + chr(5164 - 5053) + chr(0b110011) + '\x36' + chr(0b0 + 0o63), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b101101 + 0o11), 0o10), ehT0Px3KOsy9(chr(48) + chr(8451 - 8340) + chr(0b110001) + chr(50) + chr(0b11110 + 0o24), 61819 - 61811), ehT0Px3KOsy9('\x30' + chr(0b101101 + 0o102) + chr(966 - 916) + '\066' + '\x37', 11325 - 11317), ehT0Px3KOsy9(chr(48) + chr(0b1101100 + 0o3) + chr(0b0 + 0o62) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\063' + '\x36' + chr(2154 - 2104), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110011) + chr(0b110000) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\157' + '\062' + '\062' + '\x37', 17274 - 17266), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\062' + chr(637 - 588) + chr(0b110010), 48403 - 48395), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x37' + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x33' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + '\x31' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1630 - 1581) + '\x31' + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001 + 0o6) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1793 - 1745) + chr(11501 - 11390) + '\x31' + chr(0b100111 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(48) + chr(0b11001 + 0o31), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(52) + chr(112 - 59), 61638 - 61630)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110101) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x08'), chr(0b1100100) + chr(0b1100101) + '\143' + '\x6f' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(9761 - 9645) + chr(0b111110 + 0o50) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KJ77mKQYT2b9(oVre8I6UXc3b, K3J4ZwSlE0sT, t1v7afVhe01t=qskXFveriimF) -> ehT0Px3KOsy9:
QmmgWUB13VCJ = oVre8I6UXc3b.pop(K3J4ZwSlE0sT, t1v7afVhe01t)
if QmmgWUB13VCJ is None:
return None
else:
return ehT0Px3KOsy9(QmmgWUB13VCJ)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.pop_float
|
def pop_float(self, key: str, default: Any = DEFAULT) -> float:
"""
Performs a pop and coerces to a float.
"""
value = self.pop(key, default)
if value is None:
return None
else:
return float(value)
|
python
|
def pop_float(self, key: str, default: Any = DEFAULT) -> float:
"""
Performs a pop and coerces to a float.
"""
value = self.pop(key, default)
if value is None:
return None
else:
return float(value)
|
[
"def",
"pop_float",
"(",
"self",
",",
"key",
":",
"str",
",",
"default",
":",
"Any",
"=",
"DEFAULT",
")",
"->",
"float",
":",
"value",
"=",
"self",
".",
"pop",
"(",
"key",
",",
"default",
")",
"if",
"value",
"is",
"None",
":",
"return",
"None",
"else",
":",
"return",
"float",
"(",
"value",
")"
] |
Performs a pop and coerces to a float.
|
[
"Performs",
"a",
"pop",
"and",
"coerces",
"to",
"a",
"float",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L264-L272
|
train
|
Takes a string key and returns the float value.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(12268 - 12157) + chr(54) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(9611 - 9500) + chr(49) + '\x35' + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1000010 + 0o55) + chr(0b110011) + '\063' + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8408 - 8297) + chr(520 - 471) + chr(0b1 + 0o60) + chr(0b111 + 0o57), 35389 - 35381), ehT0Px3KOsy9(chr(1656 - 1608) + '\x6f' + chr(49) + chr(0b100011 + 0o16) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(11474 - 11363) + chr(2264 - 2215) + chr(0b110101) + chr(0b110000 + 0o5), 0o10), ehT0Px3KOsy9(chr(48) + chr(11883 - 11772) + chr(50) + '\061' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(50), 0b1000), ehT0Px3KOsy9('\060' + chr(0b100110 + 0o111) + chr(0b10 + 0o63) + chr(0b11 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(2164 - 2114) + chr(645 - 597) + chr(0b110010 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(1099 - 1051) + chr(111) + '\062' + '\x32' + '\062', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110011) + '\064', 3043 - 3035), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b11101 + 0o26) + chr(0b10010 + 0o44) + chr(882 - 828), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(54) + chr(0b110111), 32040 - 32032), ehT0Px3KOsy9(chr(767 - 719) + chr(0b1101111) + chr(0b110011) + '\x30' + '\x31', 58913 - 58905), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\060' + chr(942 - 893), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(54) + '\x37', 47957 - 47949), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x31' + chr(0b11011 + 0o34), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\065' + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(118 - 7) + chr(0b110010) + chr(685 - 637), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + '\063' + '\x32' + chr(0b110001 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(1776 - 1727) + '\065' + chr(0b10100 + 0o34), 0b1000), ehT0Px3KOsy9(chr(921 - 873) + '\157' + '\062' + '\067' + chr(399 - 348), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + chr(0b1111 + 0o42) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\060' + '\067', 8), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(990 - 879) + chr(53) + '\060', 43136 - 43128), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(2381 - 2326) + chr(0b10110 + 0o37), 15974 - 15966), ehT0Px3KOsy9(chr(657 - 609) + chr(0b11100 + 0o123) + chr(1200 - 1149) + chr(0b100101 + 0o21) + chr(0b110101 + 0o2), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\066' + chr(0b11111 + 0o23), 14404 - 14396), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(51) + chr(1600 - 1545) + '\x37', 64540 - 64532), ehT0Px3KOsy9('\x30' + chr(6592 - 6481) + chr(0b110 + 0o54) + chr(96 - 45) + chr(2560 - 2507), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10000 + 0o45) + chr(0b10011 + 0o35), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(188 - 138) + chr(420 - 371), 1620 - 1612), ehT0Px3KOsy9(chr(2225 - 2177) + chr(111) + chr(51) + chr(0b110111) + chr(2124 - 2074), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(657 - 607) + chr(1772 - 1720) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(818 - 768), ord("\x08")), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + chr(1514 - 1465) + chr(48) + chr(266 - 213), 30445 - 30437), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + '\064' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(932 - 883) + chr(0b10100 + 0o36) + chr(993 - 942), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(4842 - 4731) + chr(0b1111 + 0o46) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), '\144' + chr(1381 - 1280) + chr(3862 - 3763) + chr(0b10011 + 0o134) + chr(0b1010111 + 0o15) + chr(0b1100101))('\x75' + chr(11790 - 11674) + chr(0b111000 + 0o56) + chr(1804 - 1759) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def W14PkqPmV1qc(oVre8I6UXc3b, K3J4ZwSlE0sT, t1v7afVhe01t=qskXFveriimF) -> kkSX4ccExqw4:
QmmgWUB13VCJ = oVre8I6UXc3b.pop(K3J4ZwSlE0sT, t1v7afVhe01t)
if QmmgWUB13VCJ is None:
return None
else:
return kkSX4ccExqw4(QmmgWUB13VCJ)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.pop_bool
|
def pop_bool(self, key: str, default: Any = DEFAULT) -> bool:
"""
Performs a pop and coerces to a bool.
"""
value = self.pop(key, default)
if value is None:
return None
elif isinstance(value, bool):
return value
elif value == "true":
return True
elif value == "false":
return False
else:
raise ValueError("Cannot convert variable to bool: " + value)
|
python
|
def pop_bool(self, key: str, default: Any = DEFAULT) -> bool:
"""
Performs a pop and coerces to a bool.
"""
value = self.pop(key, default)
if value is None:
return None
elif isinstance(value, bool):
return value
elif value == "true":
return True
elif value == "false":
return False
else:
raise ValueError("Cannot convert variable to bool: " + value)
|
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"=",
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":",
"value",
"=",
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"key",
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"None",
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"(",
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",",
"bool",
")",
":",
"return",
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"value",
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"\"true\"",
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"value",
"==",
"\"false\"",
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"False",
"else",
":",
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"ValueError",
"(",
"\"Cannot convert variable to bool: \"",
"+",
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] |
Performs a pop and coerces to a bool.
|
[
"Performs",
"a",
"pop",
"and",
"coerces",
"to",
"a",
"bool",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L274-L288
|
train
|
Performs a pop and coerces to a bool.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\157' + chr(1379 - 1329) + chr(0b110011) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b100 + 0o153) + chr(0b100101 + 0o16) + chr(0b110011) + chr(2409 - 2359), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(0b1010 + 0o145) + chr(50) + chr(0b110000 + 0o3) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(352 - 298) + '\x32', 24927 - 24919), ehT0Px3KOsy9(chr(1892 - 1844) + chr(111) + chr(0b110011) + chr(1123 - 1069) + '\067', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(0b11110 + 0o22) + chr(0b110000 + 0o5), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(55) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b101111 + 0o2) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\x37' + '\x30', 0b1000), ehT0Px3KOsy9(chr(1797 - 1749) + chr(0b100110 + 0o111) + chr(0b110010) + '\x34' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(2448 - 2337) + '\063' + chr(0b101110 + 0o2) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(815 - 765) + chr(48) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(442 - 394) + '\x6f' + chr(274 - 223) + '\067' + chr(50), 38254 - 38246), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\066' + chr(2411 - 2360), 33741 - 33733), ehT0Px3KOsy9(chr(2289 - 2241) + chr(0b11110 + 0o121) + chr(0b100100 + 0o15) + chr(0b110010) + '\x36', 31932 - 31924), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100110 + 0o111) + chr(0b110001) + chr(0b11100 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(51) + '\064', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1933 - 1884) + chr(50) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(489 - 441) + '\x6f' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4450 - 4339) + chr(0b101 + 0o54) + chr(260 - 206) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x32' + chr(52), 54891 - 54883), ehT0Px3KOsy9(chr(1514 - 1466) + chr(111) + chr(0b11000 + 0o32) + chr(931 - 883) + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101001 + 0o10) + chr(0b11111 + 0o26) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\157' + chr(51) + chr(0b110110) + chr(1812 - 1762), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(0b101 + 0o60) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b101001 + 0o106) + chr(1949 - 1899) + chr(0b110001) + chr(51), 57540 - 57532), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(49) + chr(0b110 + 0o60), 63119 - 63111), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(889 - 838) + '\066' + chr(50), 8), ehT0Px3KOsy9(chr(2245 - 2197) + '\x6f' + chr(2333 - 2283) + chr(0b110110) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(0b110100), 47074 - 47066), ehT0Px3KOsy9(chr(48) + chr(7098 - 6987) + chr(288 - 238) + chr(52) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1010 + 0o50) + '\x30' + chr(2633 - 2579), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(50) + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x33' + chr(303 - 252) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(747 - 692) + chr(2278 - 2230), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11010 + 0o33) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb2'), chr(0b1100100) + '\145' + '\143' + chr(0b1101111) + '\x64' + '\145')(chr(2178 - 2061) + '\164' + chr(0b1100110) + chr(0b11100 + 0o21) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def FcoYwe3hv7nx(oVre8I6UXc3b, K3J4ZwSlE0sT, t1v7afVhe01t=qskXFveriimF) -> WbBjf8Y7v9VN:
QmmgWUB13VCJ = oVre8I6UXc3b.pop(K3J4ZwSlE0sT, t1v7afVhe01t)
if QmmgWUB13VCJ is None:
return None
elif PlSM16l2KDPD(QmmgWUB13VCJ, WbBjf8Y7v9VN):
return QmmgWUB13VCJ
elif QmmgWUB13VCJ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8\xa8\xef\x97'), chr(0b100011 + 0o101) + chr(0b1000110 + 0o37) + chr(0b1001000 + 0o33) + chr(0b111101 + 0o62) + chr(100) + '\x65')(chr(12472 - 12355) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(163 - 107)):
return ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101101 + 0o4), 8)
elif QmmgWUB13VCJ == xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\xbb\xf6\x81\x92'), '\144' + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(3909 - 3792) + '\x74' + chr(102) + '\055' + chr(0b10011 + 0o45)):
return ehT0Px3KOsy9('\060' + '\157' + '\060', 26548 - 26540)
else:
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xbb\xf4\x9c\x98\xf1Z\xac]\x16\xd6\xa2\xf3\x8e\x13 `y\xb53d\x1c\xf1\xa7\x1d\x9dLg6\xe4b\xc8\x96'), chr(0b11010 + 0o112) + chr(0b111011 + 0o52) + chr(99) + '\157' + chr(0b1100100) + '\x65')('\x75' + '\164' + chr(7922 - 7820) + '\055' + chr(0b110000 + 0o10)) + QmmgWUB13VCJ)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.get
|
def get(self, key: str, default: Any = DEFAULT):
"""
Performs the functionality associated with dict.get(key) but also checks for returned
dicts and returns a Params object in their place with an updated history.
"""
if default is self.DEFAULT:
try:
value = self.params.get(key)
except KeyError:
raise ConfigurationError("key \"{}\" is required at location \"{}\"".format(key, self.history))
else:
value = self.params.get(key, default)
return self._check_is_dict(key, value)
|
python
|
def get(self, key: str, default: Any = DEFAULT):
"""
Performs the functionality associated with dict.get(key) but also checks for returned
dicts and returns a Params object in their place with an updated history.
"""
if default is self.DEFAULT:
try:
value = self.params.get(key)
except KeyError:
raise ConfigurationError("key \"{}\" is required at location \"{}\"".format(key, self.history))
else:
value = self.params.get(key, default)
return self._check_is_dict(key, value)
|
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] |
Performs the functionality associated with dict.get(key) but also checks for returned
dicts and returns a Params object in their place with an updated history.
|
[
"Performs",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L291-L303
|
train
|
Returns a dict object for the given key.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\x32' + '\x34' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(9793 - 9682) + chr(694 - 643) + chr(0b110101) + chr(1507 - 1457), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b1010 + 0o51) + chr(0b1100 + 0o50) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o14) + chr(2599 - 2545), 20319 - 20311), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\063' + chr(614 - 560) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1401 - 1352) + chr(49) + chr(0b10101 + 0o37), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b1100 + 0o51) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010 + 0o145) + chr(0b1010 + 0o53) + '\x34', 43900 - 43892), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x30' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(7870 - 7759) + chr(0b110100) + '\066', 22215 - 22207), ehT0Px3KOsy9('\060' + chr(2477 - 2366) + chr(0b100010 + 0o21) + chr(0b110100) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110110) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b1000 + 0o52) + chr(0b1001 + 0o55) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1010110 + 0o31) + chr(2044 - 1993) + chr(0b110000) + '\x31', 25641 - 25633), ehT0Px3KOsy9(chr(438 - 390) + '\157' + chr(901 - 852) + chr(52) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\066', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\066' + chr(2452 - 2401), 11287 - 11279), ehT0Px3KOsy9('\060' + chr(0b1010010 + 0o35) + '\063' + chr(1065 - 1010) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101101 + 0o10) + chr(48), 38435 - 38427), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b110001 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1100 + 0o143) + '\x31' + chr(54 - 4) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(1585 - 1531) + chr(0b1011 + 0o45), 0o10), ehT0Px3KOsy9('\060' + chr(7543 - 7432) + '\x34' + chr(0b1 + 0o62), 0b1000), ehT0Px3KOsy9(chr(663 - 615) + chr(116 - 5) + '\062' + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\064' + chr(0b110 + 0o53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000011 + 0o54) + '\063' + chr(1654 - 1600), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2004 - 1893) + chr(1368 - 1318) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6337 - 6226) + chr(0b100010 + 0o21) + chr(0b1110 + 0o45) + '\x36', 0o10), ehT0Px3KOsy9(chr(637 - 589) + chr(0b1101111) + chr(0b1110 + 0o43) + chr(50) + chr(2145 - 2095), 18472 - 18464), ehT0Px3KOsy9(chr(1931 - 1883) + '\x6f' + '\x33' + chr(0b110011 + 0o3) + chr(1431 - 1383), 25630 - 25622), ehT0Px3KOsy9(chr(0b110000) + chr(9784 - 9673) + chr(49) + chr(918 - 867) + chr(0b110001), 61106 - 61098), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + '\062' + chr(55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o4) + '\067' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1516 - 1468) + chr(0b1011000 + 0o27) + chr(49) + chr(51) + chr(49), 8), ehT0Px3KOsy9(chr(0b110000) + chr(10679 - 10568) + chr(0b110001) + chr(0b11 + 0o64) + '\060', 65059 - 65051), ehT0Px3KOsy9(chr(0b110000) + chr(6301 - 6190) + chr(2225 - 2175) + '\x37' + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(0b100 + 0o63) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1030 - 919) + chr(0b110011) + chr(0b110 + 0o57) + chr(1652 - 1599), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(54) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(54) + chr(51), 32148 - 32140)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(677 - 629) + chr(0b1101111) + chr(0b101001 + 0o14) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x89'), chr(0b10011 + 0o121) + '\x65' + '\x63' + '\x6f' + chr(9191 - 9091) + chr(101))(chr(117) + chr(2273 - 2157) + chr(0b110110 + 0o60) + '\055' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q8b5UytA0vqH(oVre8I6UXc3b, K3J4ZwSlE0sT, t1v7afVhe01t=qskXFveriimF):
if t1v7afVhe01t is xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3\xaf\xa1W\xa6\x00\xbf'), chr(0b111100 + 0o50) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(5943 - 5843) + chr(4418 - 4317))(chr(117) + chr(116) + '\146' + chr(45) + chr(0b111000))):
try:
QmmgWUB13VCJ = oVre8I6UXc3b.params.get(K3J4ZwSlE0sT)
except RQ6CSRrFArYB:
raise h0iXqtiKVeKg(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcc\x8f\x9e6\xd17\x96\x0e\xe7O\x92\xd4\xc6\xa4\x17sZ\x8fM\x7fp\x11W0\rq\xfc\xbf&\x9969^{\x03\xc3\xdb'), chr(0b111101 + 0o47) + '\145' + chr(3933 - 3834) + '\157' + chr(0b101000 + 0o74) + '\145')(chr(0b1011111 + 0o26) + chr(0b1001100 + 0o50) + chr(0b1100110) + '\055' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf1\xde\x95y\xbb-\xb8\x1f\x97V\x84\x9e'), '\x64' + '\145' + chr(99) + chr(111) + '\144' + '\145')(chr(8696 - 8579) + chr(0b1110100) + chr(5951 - 5849) + chr(0b101101) + chr(0b10101 + 0o43)))(K3J4ZwSlE0sT, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd4\xae\xd6]\xc4\x1f\xa7J\x97H\xa5\xb6'), '\144' + '\145' + '\x63' + chr(111) + chr(843 - 743) + chr(101))(chr(117) + chr(0b1010 + 0o152) + chr(0b1000000 + 0o46) + '\055' + chr(0b100100 + 0o24)))))
else:
QmmgWUB13VCJ = oVre8I6UXc3b.params.get(K3J4ZwSlE0sT, t1v7afVhe01t)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\xf8\x89\x8fs\x90'\xb4E\xb4y\x85\x9d\xd7\xb5"), chr(0b1100100) + chr(0b1100101) + chr(3140 - 3041) + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b1001010 + 0o33))(chr(117) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))(K3J4ZwSlE0sT, QmmgWUB13VCJ)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.pop_choice
|
def pop_choice(self, key: str, choices: List[Any], default_to_first_choice: bool = False) -> Any:
"""
Gets the value of ``key`` in the ``params`` dictionary, ensuring that the value is one of
the given choices. Note that this `pops` the key from params, modifying the dictionary,
consistent with how parameters are processed in this codebase.
Parameters
----------
key: str
Key to get the value from in the param dictionary
choices: List[Any]
A list of valid options for values corresponding to ``key``. For example, if you're
specifying the type of encoder to use for some part of your model, the choices might be
the list of encoder classes we know about and can instantiate. If the value we find in
the param dictionary is not in ``choices``, we raise a ``ConfigurationError``, because
the user specified an invalid value in their parameter file.
default_to_first_choice: bool, optional (default=False)
If this is ``True``, we allow the ``key`` to not be present in the parameter
dictionary. If the key is not present, we will use the return as the value the first
choice in the ``choices`` list. If this is ``False``, we raise a
``ConfigurationError``, because specifying the ``key`` is required (e.g., you `have` to
specify your model class when running an experiment, but you can feel free to use
default settings for encoders if you want).
"""
default = choices[0] if default_to_first_choice else self.DEFAULT
value = self.pop(key, default)
if value not in choices:
key_str = self.history + key
message = '%s not in acceptable choices for %s: %s' % (value, key_str, str(choices))
raise ConfigurationError(message)
return value
|
python
|
def pop_choice(self, key: str, choices: List[Any], default_to_first_choice: bool = False) -> Any:
"""
Gets the value of ``key`` in the ``params`` dictionary, ensuring that the value is one of
the given choices. Note that this `pops` the key from params, modifying the dictionary,
consistent with how parameters are processed in this codebase.
Parameters
----------
key: str
Key to get the value from in the param dictionary
choices: List[Any]
A list of valid options for values corresponding to ``key``. For example, if you're
specifying the type of encoder to use for some part of your model, the choices might be
the list of encoder classes we know about and can instantiate. If the value we find in
the param dictionary is not in ``choices``, we raise a ``ConfigurationError``, because
the user specified an invalid value in their parameter file.
default_to_first_choice: bool, optional (default=False)
If this is ``True``, we allow the ``key`` to not be present in the parameter
dictionary. If the key is not present, we will use the return as the value the first
choice in the ``choices`` list. If this is ``False``, we raise a
``ConfigurationError``, because specifying the ``key`` is required (e.g., you `have` to
specify your model class when running an experiment, but you can feel free to use
default settings for encoders if you want).
"""
default = choices[0] if default_to_first_choice else self.DEFAULT
value = self.pop(key, default)
if value not in choices:
key_str = self.history + key
message = '%s not in acceptable choices for %s: %s' % (value, key_str, str(choices))
raise ConfigurationError(message)
return value
|
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] |
Gets the value of ``key`` in the ``params`` dictionary, ensuring that the value is one of
the given choices. Note that this `pops` the key from params, modifying the dictionary,
consistent with how parameters are processed in this codebase.
Parameters
----------
key: str
Key to get the value from in the param dictionary
choices: List[Any]
A list of valid options for values corresponding to ``key``. For example, if you're
specifying the type of encoder to use for some part of your model, the choices might be
the list of encoder classes we know about and can instantiate. If the value we find in
the param dictionary is not in ``choices``, we raise a ``ConfigurationError``, because
the user specified an invalid value in their parameter file.
default_to_first_choice: bool, optional (default=False)
If this is ``True``, we allow the ``key`` to not be present in the parameter
dictionary. If the key is not present, we will use the return as the value the first
choice in the ``choices`` list. If this is ``False``, we raise a
``ConfigurationError``, because specifying the ``key`` is required (e.g., you `have` to
specify your model class when running an experiment, but you can feel free to use
default settings for encoders if you want).
|
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L305-L335
|
train
|
Pop the value of key from the parameter dictionary ensuring that the value is one of the given choices.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o42) + chr(0b10010 + 0o43) + chr(1287 - 1236), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + chr(49) + '\062' + chr(0b100010 + 0o20), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x37' + chr(2495 - 2443), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(206 - 154) + chr(136 - 81), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(1122 - 1074) + chr(1763 - 1652) + chr(0b0 + 0o63) + '\x31' + '\062', 17386 - 17378), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(221 - 169), 37448 - 37440), ehT0Px3KOsy9('\x30' + chr(0b1001000 + 0o47) + chr(50) + chr(48) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(49) + chr(856 - 807) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101100 + 0o6) + '\x33' + chr(474 - 422), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x33' + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(350 - 299) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(146 - 97) + '\x34' + '\063', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(995 - 946) + chr(1419 - 1364), 42689 - 42681), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x32' + chr(2606 - 2554), 0b1000), ehT0Px3KOsy9('\x30' + chr(6132 - 6021) + '\061' + chr(1716 - 1662) + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1110 - 1061) + '\065' + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(54) + '\x30', 42532 - 42524), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(5564 - 5453) + chr(50) + chr(729 - 678) + '\x35', 55359 - 55351), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101011 + 0o10) + '\067' + chr(0b110000), 3821 - 3813), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1047 - 997) + '\062' + chr(52), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(448 - 397) + chr(52), 17122 - 17114), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\063' + '\067' + chr(880 - 827), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o55) + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101100 + 0o7) + chr(1158 - 1104) + '\060', 57250 - 57242), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + '\x31' + chr(0b110110), 48341 - 48333), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + chr(0b10010 + 0o37) + '\x37' + chr(53), 62031 - 62023), ehT0Px3KOsy9(chr(48) + chr(111) + chr(483 - 433) + chr(1602 - 1553) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(11354 - 11243) + chr(0b101001 + 0o12) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x32' + chr(55), 25934 - 25926), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(12293 - 12182) + chr(487 - 436) + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + '\062' + '\x36' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(0b110010) + chr(622 - 574) + chr(0b100000 + 0o27), 8), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\062' + chr(0b10110 + 0o35) + chr(0b110101), 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(12010 - 11899) + chr(50) + chr(0b100100 + 0o14) + '\067', 8), ehT0Px3KOsy9('\x30' + chr(2743 - 2632) + '\x31' + '\x32' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(54) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(1567 - 1456) + chr(0b101101 + 0o4) + chr(0b110000) + chr(0b11010 + 0o31), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1875 - 1827) + chr(6987 - 6876) + '\065' + chr(48), 19954 - 19946)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x85'), chr(100) + chr(0b110 + 0o137) + chr(0b1100011) + chr(3930 - 3819) + '\144' + chr(0b10 + 0o143))(chr(0b1110101) + chr(7160 - 7044) + chr(102) + chr(444 - 399) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def k9L24JPxcIn3(oVre8I6UXc3b, K3J4ZwSlE0sT, XPnoMuK4S7nS, _jius2SkCpD2=ehT0Px3KOsy9(chr(48) + chr(111) + chr(48), 0o10)) -> R71nhlWr3XQi:
t1v7afVhe01t = XPnoMuK4S7nS[ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101101 + 0o2) + chr(0b110000), 8)] if _jius2SkCpD2 else oVre8I6UXc3b.DEFAULT
QmmgWUB13VCJ = oVre8I6UXc3b.pop(K3J4ZwSlE0sT, t1v7afVhe01t)
if QmmgWUB13VCJ not in XPnoMuK4S7nS:
FVp84g6wwTmu = oVre8I6UXc3b.sD1K7SLfPnDB + K3J4ZwSlE0sT
R2mbIkZzeu1B = xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e!\x1c\x89g\x8d\xea}\xe9i\xfd\xba\xb9\x06?\xe0\x11\x0f\\\xf8\xd8;\xfc3\x94i\x95}]\xe8u\xe5\xf1\x96\xf4\xa7\xa7w\x87'), '\x64' + '\145' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(7246 - 7145))(chr(0b1110101) + chr(9974 - 9858) + chr(0b1001100 + 0o32) + chr(45) + '\070') % (QmmgWUB13VCJ, FVp84g6wwTmu, M8_cKLkHVB2V(XPnoMuK4S7nS))
raise h0iXqtiKVeKg(R2mbIkZzeu1B)
return QmmgWUB13VCJ
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.as_dict
|
def as_dict(self, quiet: bool = False, infer_type_and_cast: bool = False):
"""
Sometimes we need to just represent the parameters as a dict, for instance when we pass
them to PyTorch code.
Parameters
----------
quiet: bool, optional (default = False)
Whether to log the parameters before returning them as a dict.
infer_type_and_cast : bool, optional (default = False)
If True, we infer types and cast (e.g. things that look like floats to floats).
"""
if infer_type_and_cast:
params_as_dict = infer_and_cast(self.params)
else:
params_as_dict = self.params
if quiet:
return params_as_dict
def log_recursively(parameters, history):
for key, value in parameters.items():
if isinstance(value, dict):
new_local_history = history + key + "."
log_recursively(value, new_local_history)
else:
logger.info(history + key + " = " + str(value))
logger.info("Converting Params object to dict; logging of default "
"values will not occur when dictionary parameters are "
"used subsequently.")
logger.info("CURRENTLY DEFINED PARAMETERS: ")
log_recursively(self.params, self.history)
return params_as_dict
|
python
|
def as_dict(self, quiet: bool = False, infer_type_and_cast: bool = False):
"""
Sometimes we need to just represent the parameters as a dict, for instance when we pass
them to PyTorch code.
Parameters
----------
quiet: bool, optional (default = False)
Whether to log the parameters before returning them as a dict.
infer_type_and_cast : bool, optional (default = False)
If True, we infer types and cast (e.g. things that look like floats to floats).
"""
if infer_type_and_cast:
params_as_dict = infer_and_cast(self.params)
else:
params_as_dict = self.params
if quiet:
return params_as_dict
def log_recursively(parameters, history):
for key, value in parameters.items():
if isinstance(value, dict):
new_local_history = history + key + "."
log_recursively(value, new_local_history)
else:
logger.info(history + key + " = " + str(value))
logger.info("Converting Params object to dict; logging of default "
"values will not occur when dictionary parameters are "
"used subsequently.")
logger.info("CURRENTLY DEFINED PARAMETERS: ")
log_recursively(self.params, self.history)
return params_as_dict
|
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] |
Sometimes we need to just represent the parameters as a dict, for instance when we pass
them to PyTorch code.
Parameters
----------
quiet: bool, optional (default = False)
Whether to log the parameters before returning them as a dict.
infer_type_and_cast : bool, optional (default = False)
If True, we infer types and cast (e.g. things that look like floats to floats).
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L337-L370
|
train
|
Convert the parameters object to a dictionary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(817 - 769) + '\157' + '\x37' + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1813 - 1764) + '\x33' + '\061', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(0b11000 + 0o31) + '\061' + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + chr(8144 - 8033) + '\062' + chr(1979 - 1928), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(453 - 404) + chr(0b11000 + 0o35) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b100000 + 0o23) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101100 + 0o6) + chr(0b1011 + 0o51) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\x32' + chr(0b1000 + 0o50), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + chr(1692 - 1640) + chr(902 - 850), 8), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\157' + chr(50) + '\067' + chr(465 - 413), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o31) + chr(0b110111) + chr(0b10010 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(1180 - 1132) + chr(0b11101 + 0o122) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(436 - 386) + chr(0b110001), 57049 - 57041), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(1020 - 972) + '\157' + chr(0b10111 + 0o34) + '\063' + chr(50), 31760 - 31752), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101101 + 0o4) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010010 + 0o35) + chr(52) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1760 - 1712) + '\x6f' + chr(50) + chr(2457 - 2403) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(2236 - 2187) + chr(2050 - 1998), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1101 + 0o44) + chr(1061 - 1012) + '\062', 8), ehT0Px3KOsy9('\x30' + chr(0b1001011 + 0o44) + chr(50) + '\x31' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(1841 - 1793) + chr(10177 - 10066) + chr(0b110010) + chr(0b110010) + chr(825 - 773), 41145 - 41137), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(775 - 725) + chr(50) + '\x36', 43407 - 43399), ehT0Px3KOsy9(chr(215 - 167) + chr(3081 - 2970) + chr(0b100001 + 0o21) + chr(53) + chr(48), 46540 - 46532), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x36' + chr(69 - 20), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100 + 0o143) + '\x36' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(291 - 243) + '\157' + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010100 + 0o33) + chr(49) + chr(0b11011 + 0o34) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(51) + chr(0b110110) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(413 - 365) + '\157' + '\x31' + chr(1891 - 1841) + chr(2416 - 2364), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\x32' + chr(1521 - 1466), 46162 - 46154), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\x32' + chr(52) + chr(48), 5820 - 5812), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\067', 61994 - 61986), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(2572 - 2517) + chr(0b10110 + 0o40), 35809 - 35801), ehT0Px3KOsy9(chr(1498 - 1450) + chr(0b11111 + 0o120) + chr(0b100011 + 0o20) + '\x37' + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(7586 - 7475) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101000 + 0o7) + '\x33' + chr(0b110011) + chr(53), 0b1000), ehT0Px3KOsy9('\x30' + chr(7548 - 7437) + chr(0b110100) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101101 + 0o2) + chr(862 - 811) + chr(219 - 166), 25714 - 25706), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + '\062' + '\066', 11151 - 11143)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(522 - 474) + chr(0b1011101 + 0o22) + '\x35' + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), chr(5242 - 5142) + chr(0b100 + 0o141) + chr(0b100000 + 0o103) + '\x6f' + chr(0b101 + 0o137) + chr(0b1100101))(chr(117) + '\164' + chr(0b1001110 + 0o30) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kV2IVGXCPozh(oVre8I6UXc3b, _yXggv7m96th=ehT0Px3KOsy9(chr(0b110000) + chr(12072 - 11961) + chr(48), 0o10), uvvs7GGYR9TE=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100000 + 0o20), 8)):
if uvvs7GGYR9TE:
dKFAZGs25THs = IzIWaN_cBkXc(oVre8I6UXc3b.nEbJZ4wfte2w)
else:
dKFAZGs25THs = oVre8I6UXc3b.nEbJZ4wfte2w
if _yXggv7m96th:
return dKFAZGs25THs
def zpXIKkMJIVRy(YwMyLskbiCrd, sD1K7SLfPnDB):
for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(YwMyLskbiCrd, xafqLlk3kkUe(SXOLrMavuUCe(b't#<v#\x83\x97\x99\xc8\xef\xf3+'), chr(100) + chr(101) + chr(7916 - 7817) + '\157' + chr(5815 - 5715) + chr(0b11000 + 0o115))('\x75' + chr(11137 - 11021) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))():
if PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
ixDEz1QbTJQ7 = sD1K7SLfPnDB + K3J4ZwSlE0sT + xafqLlk3kkUe(SXOLrMavuUCe(b'\x14'), chr(5017 - 4917) + chr(0b1100101) + chr(0b110000 + 0o63) + '\157' + '\x64' + chr(3134 - 3033))('\165' + '\164' + '\x66' + chr(264 - 219) + chr(0b110 + 0o62))
zpXIKkMJIVRy(QmmgWUB13VCJ, ixDEz1QbTJQ7)
else:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'in\x02k\x1f\xba\xc3\xe7\xce\xd0\xe1y'), chr(0b1100100) + chr(0b1100101) + chr(0b1000011 + 0o40) + '\157' + '\x64' + chr(0b101010 + 0o73))(chr(8796 - 8679) + '\x74' + chr(0b11100 + 0o112) + '\x2d' + '\x38'))(sD1K7SLfPnDB + K3J4ZwSlE0sT + xafqLlk3kkUe(SXOLrMavuUCe(b'\x1adj'), chr(100) + chr(0b1010111 + 0o16) + '\x63' + chr(10657 - 10546) + chr(1609 - 1509) + '\x65')('\165' + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000 + 0o0)) + M8_cKLkHVB2V(QmmgWUB13VCJ))
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'in\x02k\x1f\xba\xc3\xe7\xce\xd0\xe1y'), chr(6999 - 6899) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100 + 0o0) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'y6$e\x0f\xab\xd0\xb9\xca\xdb\x9bB\xb0\x92\xbb$W\x94#(\xe4\xf1\xf5\xdc\xd1Fm^\x93=\xf4\xd44\x1e\x97x\xbaAt\xb8]y%uJ\xbd\xc1\xb6\xc5\xc9\xd7f\xf1\x96\xbb%Q\xd1?j\xf9\xfd\xfa\xc4\xd1\\m\n\xd7;\xf4\xc3zL\xdb`\xb5Cs\xf6^0)g\x03\xb6\xca\xb1\xd6\xc5\x9bb\xb0\x92\xbb$A\xc0)8\xfd\xb4\xf7\xda\x94\x12w\r\x920\xb7\xd3z\\\x88r\xacSx\xb8N53='), chr(0b1100100) + '\145' + '\x63' + '\157' + '\144' + chr(0b110 + 0o137))('\x75' + chr(116) + chr(9135 - 9033) + chr(943 - 898) + chr(0b111000)))
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'in\x02k\x1f\xba\xc3\xe7\xce\xd0\xe1y'), '\144' + chr(0b1100101) + chr(0b1100011 + 0o0) + chr(4893 - 4782) + chr(0b1100100) + '\x65')(chr(117) + chr(116) + chr(6892 - 6790) + chr(149 - 104) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'y\x0c\x18A/\x97\xf0\x9c\xfd\x9c\xffW\x97\xa9\x94\x0c`\x94\x1c\x0b\xdc\xd5\xdb\xed\xa5wP-\xcdt'), chr(0b110111 + 0o55) + chr(0b101100 + 0o71) + chr(1598 - 1499) + chr(12050 - 11939) + chr(0b110 + 0o136) + '\x65')('\165' + chr(116) + chr(9742 - 9640) + chr(0b11010 + 0o23) + chr(2667 - 2611)))
zpXIKkMJIVRy(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'T\x1c(Y0\xed\xd3\xb6\xd0\xd9\x89e'), chr(0b1100100) + chr(0b1011001 + 0o14) + chr(99) + '\x6f' + chr(100) + chr(2252 - 2151))('\x75' + '\x74' + '\146' + '\055' + chr(56))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'I\x1d{X]\x8a\xe8\xb6\xf4\xd2\xffP'), chr(0b1100100) + '\x65' + '\x63' + chr(10213 - 10102) + '\144' + '\x65')('\165' + chr(640 - 524) + '\146' + chr(0b1110 + 0o37) + '\070')))
return dKFAZGs25THs
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.as_flat_dict
|
def as_flat_dict(self):
"""
Returns the parameters of a flat dictionary from keys to values.
Nested structure is collapsed with periods.
"""
flat_params = {}
def recurse(parameters, path):
for key, value in parameters.items():
newpath = path + [key]
if isinstance(value, dict):
recurse(value, newpath)
else:
flat_params['.'.join(newpath)] = value
recurse(self.params, [])
return flat_params
|
python
|
def as_flat_dict(self):
"""
Returns the parameters of a flat dictionary from keys to values.
Nested structure is collapsed with periods.
"""
flat_params = {}
def recurse(parameters, path):
for key, value in parameters.items():
newpath = path + [key]
if isinstance(value, dict):
recurse(value, newpath)
else:
flat_params['.'.join(newpath)] = value
recurse(self.params, [])
return flat_params
|
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Returns the parameters of a flat dictionary from keys to values.
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|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L372-L387
|
train
|
Returns the parameters of a flat dictionary from keys to values.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2019 - 1971) + chr(0b1101111) + '\x31' + chr(0b110100) + chr(54), 34193 - 34185), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(1336 - 1285) + chr(1959 - 1904), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + chr(0b110101) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(1052 - 1001) + '\063' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(1021 - 972) + chr(48) + chr(0b110111), 28680 - 28672), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + chr(0b110001) + chr(0b110100) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011110 + 0o21) + chr(51) + '\x31' + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + chr(51) + '\062' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10364 - 10253) + chr(53) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(9160 - 9049) + chr(52) + chr(705 - 657), 24580 - 24572), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(0b1011 + 0o50) + chr(0b110000) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b11111 + 0o120) + chr(0b110011) + chr(0b11101 + 0o24) + chr(0b11110 + 0o23), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(55) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1365 - 1315) + chr(0b101100 + 0o6) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2168 - 2057) + '\x32' + chr(0b110001) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b101010 + 0o14) + '\x33', 56605 - 56597), ehT0Px3KOsy9(chr(0b110000) + chr(0b10001 + 0o136) + chr(0b100110 + 0o14) + chr(53) + chr(531 - 483), 38450 - 38442), ehT0Px3KOsy9(chr(1656 - 1608) + chr(0b1101111) + '\062' + chr(986 - 933) + '\061', 28766 - 28758), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\063' + chr(0b100011 + 0o20) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(210 - 161) + '\x30' + '\x37', 8), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b110010) + chr(585 - 536), 8684 - 8676), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\063' + '\x31' + chr(552 - 499), 0o10), ehT0Px3KOsy9(chr(717 - 669) + chr(5419 - 5308) + chr(1676 - 1626) + chr(50) + chr(0b1100 + 0o52), 8), ehT0Px3KOsy9('\x30' + chr(2394 - 2283) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + chr(2079 - 2028) + chr(0b100111 + 0o20) + chr(0b101010 + 0o15), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101001 + 0o11) + '\x36', 59517 - 59509), ehT0Px3KOsy9(chr(749 - 701) + chr(0b1101111) + chr(52) + chr(2311 - 2262), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b100100 + 0o20) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(240 - 190) + chr(0b110110), 0o10), ehT0Px3KOsy9('\x30' + chr(7918 - 7807) + '\063' + '\x31' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(660 - 610) + '\065' + chr(1222 - 1171), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + chr(49), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110110 + 0o1) + chr(328 - 278), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o12) + chr(51) + '\067', 0o10), ehT0Px3KOsy9(chr(1303 - 1255) + chr(111) + chr(0b110000 + 0o2) + chr(0b110101) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + '\x6f' + '\063' + chr(0b110110) + chr(924 - 876), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(294 - 243) + chr(1669 - 1619) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1101111) + chr(637 - 587) + chr(0b10011 + 0o36) + chr(0b111 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(7708 - 7597) + chr(0b10 + 0o57) + chr(0b100101 + 0o17) + chr(1385 - 1337), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b100001 + 0o24) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(0b1001011 + 0o31) + chr(0b1100101) + '\x63' + '\157' + '\x64' + chr(0b1100101))('\x75' + chr(0b0 + 0o164) + '\146' + chr(0b101101) + chr(863 - 807)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SNhF5G0qeS0h(oVre8I6UXc3b):
CfxGEwSTy3yU = {}
def Lt8NBqJCHzwp(YwMyLskbiCrd, EaCjyhZptSer):
for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in xafqLlk3kkUe(YwMyLskbiCrd, xafqLlk3kkUe(SXOLrMavuUCe(b'(Ci\t\x92\x1dV\x80\xbc|h\xfe'), chr(100) + '\145' + '\143' + chr(0b1101111) + chr(100) + chr(624 - 523))('\x75' + chr(0b1000101 + 0o57) + chr(0b1100110) + '\055' + chr(56)))():
keb0RbED49M9 = EaCjyhZptSer + [K3J4ZwSlE0sT]
if PlSM16l2KDPD(QmmgWUB13VCJ, wLqBDw8l0eIm):
Lt8NBqJCHzwp(QmmgWUB13VCJ, keb0RbED49M9)
else:
CfxGEwSTy3yU[xafqLlk3kkUe(SXOLrMavuUCe(b'H'), chr(100) + chr(101) + chr(0b1100011) + chr(0b1100011 + 0o14) + chr(0b1001100 + 0o30) + chr(0b1 + 0o144))('\x75' + '\164' + chr(0b11000 + 0o116) + chr(1374 - 1329) + chr(2730 - 2674))._oWXztVNnqHF(keb0RbED49M9)] = QmmgWUB13VCJ
Lt8NBqJCHzwp(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08|}&\x81s\x12\xaf\xa4J\x12\xb0'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + chr(100) + chr(900 - 799))('\165' + '\x74' + chr(8892 - 8790) + chr(235 - 190) + '\x38')), [])
return CfxGEwSTy3yU
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.assert_empty
|
def assert_empty(self, class_name: str):
"""
Raises a ``ConfigurationError`` if ``self.params`` is not empty. We take ``class_name`` as
an argument so that the error message gives some idea of where an error happened, if there
was one. ``class_name`` should be the name of the `calling` class, the one that got extra
parameters (if there are any).
"""
if self.params:
raise ConfigurationError("Extra parameters passed to {}: {}".format(class_name, self.params))
|
python
|
def assert_empty(self, class_name: str):
"""
Raises a ``ConfigurationError`` if ``self.params`` is not empty. We take ``class_name`` as
an argument so that the error message gives some idea of where an error happened, if there
was one. ``class_name`` should be the name of the `calling` class, the one that got extra
parameters (if there are any).
"""
if self.params:
raise ConfigurationError("Extra parameters passed to {}: {}".format(class_name, self.params))
|
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"\"Extra parameters passed to {}: {}\"",
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"class_name",
",",
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] |
Raises a ``ConfigurationError`` if ``self.params`` is not empty. We take ``class_name`` as
an argument so that the error message gives some idea of where an error happened, if there
was one. ``class_name`` should be the name of the `calling` class, the one that got extra
parameters (if there are any).
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L396-L404
|
train
|
Raises a ConfigurationError if self. params is not empty.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2270 - 2219) + chr(55) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(10431 - 10320) + '\063' + chr(0b11101 + 0o31) + '\065', 33354 - 33346), ehT0Px3KOsy9('\060' + chr(0b1101010 + 0o5) + chr(2112 - 2063) + chr(433 - 383) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110101 + 0o72) + '\061' + '\067' + chr(0b101111 + 0o1), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(51) + '\063', 40064 - 40056), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\060' + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(0b1010 + 0o54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b110100 + 0o73) + chr(50) + chr(54) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(11137 - 11026) + chr(51) + chr(1803 - 1755), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4151 - 4040) + chr(0b11001 + 0o32) + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(0b110111) + '\x37', 0b1000), ehT0Px3KOsy9('\x30' + chr(7391 - 7280) + '\x31' + chr(1875 - 1824) + chr(1363 - 1312), 8), ehT0Px3KOsy9(chr(1512 - 1464) + '\157' + '\x32' + chr(0b11010 + 0o26) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\064' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(1504 - 1455) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + '\067' + chr(0b10 + 0o57), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(52) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10111 + 0o130) + chr(51) + chr(52), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + '\x36', 42980 - 42972), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1606 - 1554) + '\063', 24911 - 24903), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b111101 + 0o62) + chr(50) + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110001) + '\x32' + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(0b1011001 + 0o26) + '\061' + chr(0b110010) + chr(0b11011 + 0o32), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(739 - 690) + '\x31' + chr(2669 - 2616), 24155 - 24147), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b110101 + 0o72) + chr(187 - 137) + chr(0b1010 + 0o54) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o43) + chr(54) + chr(261 - 209), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010101 + 0o32) + chr(0b1010 + 0o51) + chr(0b110010) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1621 - 1573) + chr(0b111 + 0o150) + chr(51) + chr(0b110110) + chr(50), 29706 - 29698), ehT0Px3KOsy9('\x30' + chr(111) + chr(1274 - 1224) + chr(55) + chr(0b1111 + 0o45), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1011110 + 0o21) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1822 - 1772) + chr(1084 - 1029) + '\x34', 8), ehT0Px3KOsy9('\x30' + chr(8529 - 8418) + '\061' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + chr(0b110100 + 0o1) + chr(1394 - 1339), 52144 - 52136), ehT0Px3KOsy9('\060' + '\157' + chr(2425 - 2375) + chr(52) + chr(0b1000 + 0o57), 0o10), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(5057 - 4946) + chr(0b10001 + 0o40) + chr(260 - 209) + '\x31', 28456 - 28448), ehT0Px3KOsy9(chr(849 - 801) + '\157' + '\061' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110010) + chr(0b110111) + chr(2340 - 2290), 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110100) + chr(2182 - 2130), 0b1000), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + '\062' + '\060' + chr(0b101110 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + '\061' + chr(457 - 409) + '\067', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b10110 + 0o37) + '\060', 23612 - 23604)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(0b11010 + 0o112) + chr(0b1100101) + chr(99) + chr(0b1101111) + '\144' + chr(0b110101 + 0o60))(chr(0b100 + 0o161) + chr(0b1000111 + 0o55) + chr(8857 - 8755) + chr(45) + chr(1071 - 1015)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def D1MvngjzFZjG(oVre8I6UXc3b, _oBLt_tbuDVq):
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xb012\x01r\x01\xd1l\x86M,'), chr(0b1100100) + chr(8963 - 8862) + chr(99) + chr(0b1101111) + chr(2556 - 2456) + chr(101))(chr(0b1101000 + 0o15) + chr(116) + chr(0b1100110) + chr(1695 - 1650) + chr(56))):
raise h0iXqtiKVeKg(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\xbc\x8d'\n:f\x06\xd6j\x82\x12>\xf7\x808J\xc1lwP\xc501m\xc5\x1b\xf5\x89\xc1\x04\x9cuR"), '\x64' + '\x65' + chr(1283 - 1184) + chr(0b1101111) + '\144' + '\x65')(chr(7361 - 7244) + '\x74' + chr(9615 - 9513) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b"\xaf\xc1!\x17\x13'%\x84H\x93\x1a1"), '\144' + chr(0b1100 + 0o131) + chr(0b1011100 + 0o7) + chr(9201 - 9090) + chr(0b1011000 + 0o14) + chr(0b1000001 + 0o44))('\165' + '\x74' + chr(102) + chr(0b101100 + 0o1) + '\x38'))(_oBLt_tbuDVq, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97\xb012\x01r\x01\xd1l\x86M,'), chr(0b1100100) + chr(101) + chr(0b1100011) + chr(0b11101 + 0o122) + chr(0b1011011 + 0o11) + chr(4610 - 4509))('\165' + chr(116) + chr(102) + '\055' + '\x38'))))
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.from_file
|
def from_file(params_file: str, params_overrides: str = "", ext_vars: dict = None) -> 'Params':
"""
Load a `Params` object from a configuration file.
Parameters
----------
params_file : ``str``
The path to the configuration file to load.
params_overrides : ``str``, optional
A dict of overrides that can be applied to final object.
e.g. {"model.embedding_dim": 10}
ext_vars : ``dict``, optional
Our config files are Jsonnet, which allows specifying external variables
for later substitution. Typically we substitute these using environment
variables; however, you can also specify them here, in which case they
take priority over environment variables.
e.g. {"HOME_DIR": "/Users/allennlp/home"}
"""
if ext_vars is None:
ext_vars = {}
# redirect to cache, if necessary
params_file = cached_path(params_file)
ext_vars = {**_environment_variables(), **ext_vars}
file_dict = json.loads(evaluate_file(params_file, ext_vars=ext_vars))
overrides_dict = parse_overrides(params_overrides)
param_dict = with_fallback(preferred=overrides_dict, fallback=file_dict)
return Params(param_dict)
|
python
|
def from_file(params_file: str, params_overrides: str = "", ext_vars: dict = None) -> 'Params':
"""
Load a `Params` object from a configuration file.
Parameters
----------
params_file : ``str``
The path to the configuration file to load.
params_overrides : ``str``, optional
A dict of overrides that can be applied to final object.
e.g. {"model.embedding_dim": 10}
ext_vars : ``dict``, optional
Our config files are Jsonnet, which allows specifying external variables
for later substitution. Typically we substitute these using environment
variables; however, you can also specify them here, in which case they
take priority over environment variables.
e.g. {"HOME_DIR": "/Users/allennlp/home"}
"""
if ext_vars is None:
ext_vars = {}
# redirect to cache, if necessary
params_file = cached_path(params_file)
ext_vars = {**_environment_variables(), **ext_vars}
file_dict = json.loads(evaluate_file(params_file, ext_vars=ext_vars))
overrides_dict = parse_overrides(params_overrides)
param_dict = with_fallback(preferred=overrides_dict, fallback=file_dict)
return Params(param_dict)
|
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] |
Load a `Params` object from a configuration file.
Parameters
----------
params_file : ``str``
The path to the configuration file to load.
params_overrides : ``str``, optional
A dict of overrides that can be applied to final object.
e.g. {"model.embedding_dim": 10}
ext_vars : ``dict``, optional
Our config files are Jsonnet, which allows specifying external variables
for later substitution. Typically we substitute these using environment
variables; however, you can also specify them here, in which case they
take priority over environment variables.
e.g. {"HOME_DIR": "/Users/allennlp/home"}
|
[
"Load",
"a",
"Params",
"object",
"from",
"a",
"configuration",
"file",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L436-L466
|
train
|
Load a Params object from a configuration file.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1630 - 1582) + '\x6f' + chr(0b110001 + 0o1) + '\x31' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + chr(0b101111 + 0o3) + chr(0b110101) + '\x37', 60103 - 60095), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b110001) + chr(49), 20319 - 20311), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b110000 + 0o4) + '\x37', 11029 - 11021), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b11101 + 0o32) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(764 - 716) + chr(111) + chr(0b110010) + '\x31' + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(0b110110) + chr(0b101100 + 0o7), 0b1000), ehT0Px3KOsy9('\060' + chr(1024 - 913) + '\x31' + chr(49) + chr(0b110011), 25016 - 25008), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\x37' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(152 - 41) + chr(50) + chr(0b110111) + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(1655 - 1544) + chr(0b100000 + 0o22) + chr(0b101001 + 0o15) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + chr(0b11 + 0o154) + '\x37' + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x35' + chr(0b110 + 0o54), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b111101 + 0o62) + chr(0b110001) + '\x30' + chr(0b10011 + 0o43), 20597 - 20589), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\064' + chr(1192 - 1144), 0b1000), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(1329 - 1279) + chr(50) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\060' + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\064' + chr(0b110000), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x34' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(1867 - 1819) + chr(111) + chr(0b10111 + 0o32) + '\061' + chr(1673 - 1618), ord("\x08")), ehT0Px3KOsy9(chr(926 - 878) + chr(0b1001111 + 0o40) + chr(51) + chr(1421 - 1369) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(867 - 819) + chr(2350 - 2239) + chr(51) + '\065' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2022 - 1973) + chr(0b110101) + chr(351 - 303), ord("\x08")), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x33' + '\x33' + chr(214 - 161), 0b1000), ehT0Px3KOsy9(chr(1470 - 1422) + '\x6f' + '\062' + '\x37' + chr(0b101000 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(0b110111) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(11222 - 11111) + chr(0b100001 + 0o21) + '\063' + chr(2239 - 2187), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9521 - 9410) + chr(1562 - 1513) + '\061' + chr(55), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(1519 - 1470) + chr(1826 - 1778) + '\062', 60449 - 60441), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b10000 + 0o40) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + chr(0b110000) + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + '\x31' + chr(48) + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010000 + 0o37) + '\062' + chr(0b10100 + 0o37) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o13) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2140 - 2092) + chr(0b11 + 0o154) + chr(0b110010) + '\065' + chr(55), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o53) + chr(48) + chr(1106 - 1056), ord("\x08")), ehT0Px3KOsy9(chr(718 - 670) + '\x6f' + chr(50) + chr(1770 - 1722) + chr(443 - 389), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + chr(0b110001 + 0o6) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10890 - 10779) + chr(49) + '\066' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3688 - 3577) + chr(0b1 + 0o60) + '\063' + chr(0b110000), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(6006 - 5895) + chr(0b101110 + 0o7) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), '\144' + chr(101) + '\x63' + '\x6f' + chr(0b1100100) + chr(6323 - 6222))(chr(13089 - 12972) + chr(116) + chr(102) + chr(151 - 106) + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def VgLkDK0ntFm1(dk9FBhGiUbti, F2zWDsJmfkhr=xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(5785 - 5685) + '\x65' + chr(2396 - 2297) + '\x6f' + chr(7921 - 7821) + '\145')('\x75' + chr(2888 - 2772) + chr(102) + chr(0b101101) + chr(0b111000)), OPojetqewZ2e=None) -> xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8\xce\xfb\xc6\x95\xfb'), '\x64' + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\145')(chr(2199 - 2082) + '\x74' + chr(102) + '\x2d' + chr(0b111000)):
if OPojetqewZ2e is None:
OPojetqewZ2e = {}
dk9FBhGiUbti = MygwJnRV_fCw(dk9FBhGiUbti)
OPojetqewZ2e = {**hGYpHXjjxp0x(), **OPojetqewZ2e}
_t_Xv7ybuKKO = fXk443epxtd5.loads(bGgOwPUh9Jwv(dk9FBhGiUbti, ext_vars=OPojetqewZ2e))
IOSEfa_G3kxT = fAHnq8ef5vPR(F2zWDsJmfkhr)
s1lQUFSQSjFT = RMpbQE9sq6dx(preferred=IOSEfa_G3kxT, fallback=_t_Xv7ybuKKO)
return pboYvIgFA4qm(s1lQUFSQSjFT)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.as_ordered_dict
|
def as_ordered_dict(self, preference_orders: List[List[str]] = None) -> OrderedDict:
"""
Returns Ordered Dict of Params from list of partial order preferences.
Parameters
----------
preference_orders: List[List[str]], optional
``preference_orders`` is list of partial preference orders. ["A", "B", "C"] means
"A" > "B" > "C". For multiple preference_orders first will be considered first.
Keys not found, will have last but alphabetical preference. Default Preferences:
``[["dataset_reader", "iterator", "model", "train_data_path", "validation_data_path",
"test_data_path", "trainer", "vocabulary"], ["type"]]``
"""
params_dict = self.as_dict(quiet=True)
if not preference_orders:
preference_orders = []
preference_orders.append(["dataset_reader", "iterator", "model",
"train_data_path", "validation_data_path", "test_data_path",
"trainer", "vocabulary"])
preference_orders.append(["type"])
def order_func(key):
# Makes a tuple to use for ordering. The tuple is an index into each of the `preference_orders`,
# followed by the key itself. This gives us integer sorting if you have a key in one of the
# `preference_orders`, followed by alphabetical ordering if not.
order_tuple = [order.index(key) if key in order else len(order) for order in preference_orders]
return order_tuple + [key]
def order_dict(dictionary, order_func):
# Recursively orders dictionary according to scoring order_func
result = OrderedDict()
for key, val in sorted(dictionary.items(), key=lambda item: order_func(item[0])):
result[key] = order_dict(val, order_func) if isinstance(val, dict) else val
return result
return order_dict(params_dict, order_func)
|
python
|
def as_ordered_dict(self, preference_orders: List[List[str]] = None) -> OrderedDict:
"""
Returns Ordered Dict of Params from list of partial order preferences.
Parameters
----------
preference_orders: List[List[str]], optional
``preference_orders`` is list of partial preference orders. ["A", "B", "C"] means
"A" > "B" > "C". For multiple preference_orders first will be considered first.
Keys not found, will have last but alphabetical preference. Default Preferences:
``[["dataset_reader", "iterator", "model", "train_data_path", "validation_data_path",
"test_data_path", "trainer", "vocabulary"], ["type"]]``
"""
params_dict = self.as_dict(quiet=True)
if not preference_orders:
preference_orders = []
preference_orders.append(["dataset_reader", "iterator", "model",
"train_data_path", "validation_data_path", "test_data_path",
"trainer", "vocabulary"])
preference_orders.append(["type"])
def order_func(key):
# Makes a tuple to use for ordering. The tuple is an index into each of the `preference_orders`,
# followed by the key itself. This gives us integer sorting if you have a key in one of the
# `preference_orders`, followed by alphabetical ordering if not.
order_tuple = [order.index(key) if key in order else len(order) for order in preference_orders]
return order_tuple + [key]
def order_dict(dictionary, order_func):
# Recursively orders dictionary according to scoring order_func
result = OrderedDict()
for key, val in sorted(dictionary.items(), key=lambda item: order_func(item[0])):
result[key] = order_dict(val, order_func) if isinstance(val, dict) else val
return result
return order_dict(params_dict, order_func)
|
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] |
Returns Ordered Dict of Params from list of partial order preferences.
Parameters
----------
preference_orders: List[List[str]], optional
``preference_orders`` is list of partial preference orders. ["A", "B", "C"] means
"A" > "B" > "C". For multiple preference_orders first will be considered first.
Keys not found, will have last but alphabetical preference. Default Preferences:
``[["dataset_reader", "iterator", "model", "train_data_path", "validation_data_path",
"test_data_path", "trainer", "vocabulary"], ["type"]]``
|
[
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"preferences",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L472-L507
|
train
|
Returns an OrderedDict of Params from the current instance.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(8454 - 8343) + '\x32' + chr(50) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + '\066' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\061' + chr(1983 - 1933) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x32' + chr(0b100110 + 0o20) + chr(0b111 + 0o55), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1932 - 1883) + chr(0b10 + 0o65) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1979 - 1928) + chr(923 - 873) + chr(0b100100 + 0o14), 59980 - 59972), ehT0Px3KOsy9(chr(886 - 838) + '\x6f' + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + chr(0b110010) + chr(0b110110), 65212 - 65204), ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(1637 - 1586) + chr(0b11100 + 0o30) + chr(0b11011 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1547 - 1436) + chr(50) + chr(0b110001) + chr(1287 - 1239), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(1070 - 1022) + chr(0b1101000 + 0o7) + chr(0b1110 + 0o50) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(589 - 541) + chr(0b1101111) + chr(0b110001) + '\x35' + chr(0b110000 + 0o1), 0b1000), ehT0Px3KOsy9(chr(2058 - 2010) + '\157' + chr(872 - 821) + '\060' + chr(0b1111 + 0o44), 15731 - 15723), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(0b110010) + '\x37' + chr(0b110000 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110001) + '\x35' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010101 + 0o32) + chr(1790 - 1741) + '\067' + '\067', 38032 - 38024), ehT0Px3KOsy9('\x30' + chr(2184 - 2073) + chr(0b110011) + chr(2467 - 2416) + chr(1102 - 1051), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(210 - 99) + '\061' + '\x33' + chr(2149 - 2094), 45752 - 45744), ehT0Px3KOsy9(chr(1473 - 1425) + '\x6f' + chr(0b101001 + 0o10) + '\x35', 0o10), ehT0Px3KOsy9('\x30' + chr(9276 - 9165) + chr(0b110011) + chr(48) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(0b11100 + 0o32) + '\x37', 15586 - 15578), ehT0Px3KOsy9(chr(192 - 144) + chr(5897 - 5786) + chr(1250 - 1199) + '\x35' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b1000 + 0o55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(2120 - 2067) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110111) + chr(50), 6932 - 6924), ehT0Px3KOsy9(chr(48) + '\157' + chr(1247 - 1198) + chr(50) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(8644 - 8533) + chr(51) + chr(49) + '\065', 44163 - 44155), ehT0Px3KOsy9(chr(1596 - 1548) + chr(111) + '\061' + '\065' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(49) + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1101 + 0o46) + chr(0b100101 + 0o13) + '\x36', 8), ehT0Px3KOsy9('\060' + chr(8594 - 8483) + chr(49) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(2448 - 2337) + '\x33' + chr(0b110000) + chr(54), 8), ehT0Px3KOsy9(chr(0b110000) + chr(2087 - 1976) + chr(50) + '\x30' + '\x30', 57315 - 57307), ehT0Px3KOsy9(chr(2245 - 2197) + '\x6f' + chr(49) + chr(516 - 461) + chr(54), 0o10), ehT0Px3KOsy9(chr(409 - 361) + chr(0b1101000 + 0o7) + chr(870 - 819), 46990 - 46982), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + '\062' + chr(0b11000 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + chr(1614 - 1562), 37143 - 37135), ehT0Px3KOsy9(chr(1704 - 1656) + chr(0b1101111) + chr(49) + chr(0b110100) + chr(0b1111 + 0o44), 27921 - 27913)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9'), '\144' + '\145' + chr(0b100 + 0o137) + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1100010 + 0o23) + '\164' + '\x66' + chr(0b101101) + chr(2526 - 2470)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Xy3S6nqV0bI6(oVre8I6UXc3b, Hx6Sk5ekinEi=None) -> dckoaRguRn3D:
dIKGiCGu2yqR = oVre8I6UXc3b.as_dict(quiet=ehT0Px3KOsy9(chr(0b110000) + chr(2900 - 2789) + '\x31', 0o10))
if not Hx6Sk5ekinEi:
Hx6Sk5ekinEi = []
xafqLlk3kkUe(Hx6Sk5ekinEi, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6C%\xd1\x17\xb4'), chr(0b100000 + 0o104) + chr(0b110001 + 0o64) + '\x63' + '\x6f' + chr(0b110100 + 0o60) + '\145')(chr(7711 - 7594) + chr(116) + chr(0b1100110) + chr(45) + chr(0b111000)))([xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3R!\xd5\n\xb5VI\x91\xedJU\x0c\xb1'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\x64' + chr(101))('\165' + chr(0b1110100) + chr(9996 - 9894) + chr(0b0 + 0o55) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfeG0\xc6\x18\xa4Md'), chr(0b11111 + 0o105) + chr(101) + '\143' + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(102) + chr(593 - 548) + chr(2708 - 2652)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa\\1\xd1\x15'), chr(0b1100100) + '\145' + chr(99) + chr(0b11110 + 0o121) + chr(100) + '\145')('\x75' + chr(0b1110100) + '\146' + chr(405 - 360) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3A4\xdd\x17\x8fFw\x97\xe9tA\x08\xb7\xd4'), chr(0b1100100) + chr(101) + chr(816 - 717) + chr(0b11001 + 0o126) + '\x64' + '\x65')('\165' + '\164' + '\x66' + chr(45) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b"\xe1R9\xdd\x1d\xb1V\x7f\x8c\xe6tU\x08\xb7\xdd'\x1b\x1e\xaf7"), chr(100) + chr(0b1100101) + '\143' + '\157' + '\x64' + '\x65')('\x75' + chr(0b1001001 + 0o53) + chr(0b1100110) + '\x2d' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3V&\xc0&\xb4Cb\x82\xd7[P\x1d\xab'), chr(7700 - 7600) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(101))(chr(0b1110101) + '\164' + '\x66' + chr(45) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3A4\xdd\x17\xb5P'), chr(0b1011111 + 0o5) + chr(0b1100101) + chr(0b1001110 + 0o25) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(6644 - 6542) + chr(1261 - 1216) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\\6\xd5\x1b\xa5Nw\x91\xf1'), chr(100) + '\x65' + '\x63' + '\157' + chr(0b1100100) + '\x65')(chr(0b101010 + 0o113) + '\164' + chr(0b1100110) + chr(0b101101) + '\070')])
xafqLlk3kkUe(Hx6Sk5ekinEi, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6C%\xd1\x17\xb4'), chr(5980 - 5880) + chr(101) + chr(0b1001111 + 0o24) + chr(0b101001 + 0o106) + chr(0b111010 + 0o52) + chr(5012 - 4911))('\x75' + chr(0b1110100) + '\x66' + '\055' + chr(0b111000)))([xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3J%\xd1'), chr(0b1100100) + chr(0b1100101) + '\143' + chr(111) + chr(0b100101 + 0o77) + chr(4924 - 4823))(chr(0b1110001 + 0o4) + chr(0b1110100) + chr(0b1100110) + chr(917 - 872) + chr(0b11100 + 0o34))])
def lKMTwAhRZVlc(K3J4ZwSlE0sT):
DrBdSCpRrg91 = [hO2LnONV9lny.XdowRbJKZWL9(K3J4ZwSlE0sT) if K3J4ZwSlE0sT in hO2LnONV9lny else c2A0yzQpDQB3(hO2LnONV9lny) for hO2LnONV9lny in Hx6Sk5ekinEi]
return DrBdSCpRrg91 + [K3J4ZwSlE0sT]
def dzXv1oDSM1Us(uGRoYQpWwd_a, lKMTwAhRZVlc):
ShZmEKfTkAOZ = dckoaRguRn3D()
for (K3J4ZwSlE0sT, pQxH2D_k9sXQ) in vUlqIvNSaRMa(xafqLlk3kkUe(uGRoYQpWwd_a, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9I#\xd10\x8a\x11_\x8f\xdbc\x08'), chr(0b11100 + 0o110) + chr(0b100101 + 0o100) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b110101 + 0o60))(chr(117) + '\x74' + chr(102) + '\x2d' + chr(0b111000)))(), key=lambda N7j7ePTXzzI0: lKMTwAhRZVlc(N7j7ePTXzzI0[ehT0Px3KOsy9('\060' + chr(0b1101000 + 0o7) + chr(0b10011 + 0o35), ord("\x08"))])):
ShZmEKfTkAOZ[K3J4ZwSlE0sT] = dzXv1oDSM1Us(pQxH2D_k9sXQ, lKMTwAhRZVlc) if PlSM16l2KDPD(pQxH2D_k9sXQ, wLqBDw8l0eIm) else pQxH2D_k9sXQ
return ShZmEKfTkAOZ
return dzXv1oDSM1Us(dIKGiCGu2yqR, lKMTwAhRZVlc)
|
allenai/allennlp
|
allennlp/common/params.py
|
Params.get_hash
|
def get_hash(self) -> str:
"""
Returns a hash code representing the current state of this ``Params`` object. We don't
want to implement ``__hash__`` because that has deeper python implications (and this is a
mutable object), but this will give you a representation of the current state.
"""
return str(hash(json.dumps(self.params, sort_keys=True)))
|
python
|
def get_hash(self) -> str:
"""
Returns a hash code representing the current state of this ``Params`` object. We don't
want to implement ``__hash__`` because that has deeper python implications (and this is a
mutable object), but this will give you a representation of the current state.
"""
return str(hash(json.dumps(self.params, sort_keys=True)))
|
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"def",
"get_hash",
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"str",
":",
"return",
"str",
"(",
"hash",
"(",
"json",
".",
"dumps",
"(",
"self",
".",
"params",
",",
"sort_keys",
"=",
"True",
")",
")",
")"
] |
Returns a hash code representing the current state of this ``Params`` object. We don't
want to implement ``__hash__`` because that has deeper python implications (and this is a
mutable object), but this will give you a representation of the current state.
|
[
"Returns",
"a",
"hash",
"code",
"representing",
"the",
"current",
"state",
"of",
"this",
"Params",
"object",
".",
"We",
"don",
"t",
"want",
"to",
"implement",
"__hash__",
"because",
"that",
"has",
"deeper",
"python",
"implications",
"(",
"and",
"this",
"is",
"a",
"mutable",
"object",
")",
"but",
"this",
"will",
"give",
"you",
"a",
"representation",
"of",
"the",
"current",
"state",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/common/params.py#L509-L515
|
train
|
Returns a hash code representing the current state of this Params object.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(59 - 11) + chr(111) + chr(0b110011 + 0o0) + '\063' + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\x37' + '\065', 0o10), ehT0Px3KOsy9(chr(514 - 466) + chr(0b101111 + 0o100) + chr(0b110010) + chr(49) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\064' + '\x32', 0b1000), ehT0Px3KOsy9(chr(271 - 223) + '\x6f' + '\x31' + chr(0b101101 + 0o3) + chr(559 - 509), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + '\064' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2544 - 2493) + '\x35' + chr(1326 - 1277), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10001 + 0o40) + chr(1032 - 980) + chr(2218 - 2167), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(48) + chr(681 - 627), 0b1000), ehT0Px3KOsy9(chr(1725 - 1677) + chr(111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(1834 - 1723) + chr(0b101 + 0o54) + chr(0b10010 + 0o43), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(0b110 + 0o54) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(0b11110 + 0o24) + chr(0b10110 + 0o32) + chr(0b10110 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11111 + 0o22) + chr(1808 - 1756) + '\064', 0o10), ehT0Px3KOsy9('\x30' + chr(5249 - 5138) + chr(0b110011) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2293 - 2245) + chr(0b1101111) + chr(55) + chr(54), 19713 - 19705), ehT0Px3KOsy9(chr(937 - 889) + chr(111) + chr(1447 - 1397) + chr(123 - 69) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(851 - 803) + '\x6f' + chr(2102 - 2052) + chr(0b11 + 0o62) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(1593 - 1542) + chr(0b110100) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110100) + chr(265 - 212), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b110001) + chr(0b110011) + chr(2579 - 2525), 0b1000), ehT0Px3KOsy9(chr(2168 - 2120) + chr(111) + chr(1741 - 1690) + chr(0b110001) + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1096 - 1045) + chr(0b110100) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(0b10101 + 0o132) + '\061' + chr(0b1111 + 0o47) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(50) + '\064' + chr(0b100101 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(2298 - 2250) + chr(11557 - 11446) + chr(0b110 + 0o55) + chr(48) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(560 - 512) + chr(7495 - 7384) + chr(49) + chr(0b110010) + chr(0b110000 + 0o3), 0o10), ehT0Px3KOsy9('\x30' + chr(3946 - 3835) + chr(1438 - 1389) + '\065' + chr(1864 - 1811), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001 + 0o2) + chr(0b110111) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b110011) + chr(0b110010), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(177 - 128) + chr(0b100110 + 0o20) + chr(0b10 + 0o65), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8323 - 8212) + chr(0b110010) + chr(541 - 490) + chr(0b110100), 24915 - 24907), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\065' + '\x36', 7712 - 7704), ehT0Px3KOsy9(chr(0b110000) + chr(2824 - 2713) + chr(0b110011) + '\062' + '\x31', 63883 - 63875), ehT0Px3KOsy9(chr(930 - 882) + '\157' + chr(1921 - 1870) + chr(0b10110 + 0o34) + chr(0b101001 + 0o11), 31107 - 31099), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + '\x37' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + '\066' + chr(52), 15112 - 15104), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x37' + chr(719 - 667), 10268 - 10260), ehT0Px3KOsy9(chr(48) + chr(0b1100010 + 0o15) + '\x32' + '\x35' + chr(50), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1086 - 1038) + chr(7399 - 7288) + chr(0b110101) + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf4'), '\x64' + '\x65' + chr(0b1100011) + chr(111) + chr(0b101010 + 0o72) + chr(0b1000010 + 0o43))(chr(0b110001 + 0o104) + '\164' + '\x66' + chr(0b100110 + 0o7) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sbCgyQXZcd0K(oVre8I6UXc3b) -> M8_cKLkHVB2V:
return M8_cKLkHVB2V(xfhwxiBOH72k(xafqLlk3kkUe(fXk443epxtd5, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbe\x88\xe6\xd21'), chr(0b1100100) + chr(0b1100101) + chr(0b11001 + 0o112) + chr(111) + '\144' + '\x65')('\x75' + '\x74' + chr(0b1100110) + '\055' + chr(56)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4\xb8\xe9\xe8\x185\x17\x8f\x17\xe34z'), '\144' + '\x65' + chr(0b101010 + 0o71) + chr(0b11011 + 0o124) + chr(3216 - 3116) + chr(0b1100101))(chr(3809 - 3692) + chr(981 - 865) + chr(0b1100110) + '\x2d' + chr(0b101011 + 0o15))), sort_keys=ehT0Px3KOsy9('\x30' + chr(5191 - 5080) + chr(967 - 918), 8))))
|
allenai/allennlp
|
allennlp/training/metric_tracker.py
|
MetricTracker.clear
|
def clear(self) -> None:
"""
Clears out the tracked metrics, but keeps the patience and should_decrease settings.
"""
self._best_so_far = None
self._epochs_with_no_improvement = 0
self._is_best_so_far = True
self._epoch_number = 0
self.best_epoch = None
|
python
|
def clear(self) -> None:
"""
Clears out the tracked metrics, but keeps the patience and should_decrease settings.
"""
self._best_so_far = None
self._epochs_with_no_improvement = 0
self._is_best_so_far = True
self._epoch_number = 0
self.best_epoch = None
|
[
"def",
"clear",
"(",
"self",
")",
"->",
"None",
":",
"self",
".",
"_best_so_far",
"=",
"None",
"self",
".",
"_epochs_with_no_improvement",
"=",
"0",
"self",
".",
"_is_best_so_far",
"=",
"True",
"self",
".",
"_epoch_number",
"=",
"0",
"self",
".",
"best_epoch",
"=",
"None"
] |
Clears out the tracked metrics, but keeps the patience and should_decrease settings.
|
[
"Clears",
"out",
"the",
"tracked",
"metrics",
"but",
"keeps",
"the",
"patience",
"and",
"should_decrease",
"settings",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/metric_tracker.py#L59-L67
|
train
|
Clears out the current set of tracked metrics.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(864 - 814) + chr(0b110110) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1040 - 992) + chr(111) + '\x36', 50122 - 50114), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\x31' + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(49) + '\x36' + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(474 - 423) + chr(1010 - 955) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11245 - 11134) + '\x33' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110110) + chr(778 - 727), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1406 - 1356) + chr(51) + chr(0b101 + 0o60), 6126 - 6118), ehT0Px3KOsy9(chr(0b110000) + chr(3775 - 3664) + chr(51) + '\063' + chr(392 - 337), 0b1000), ehT0Px3KOsy9(chr(1576 - 1528) + '\157' + '\062' + chr(0b110100) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(2063 - 2015) + chr(0b100 + 0o153) + chr(50) + '\065' + chr(0b110011), 26104 - 26096), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b11011 + 0o27) + chr(0b10100 + 0o35), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(921 - 871) + '\x33' + chr(0b0 + 0o65), 8), ehT0Px3KOsy9(chr(755 - 707) + chr(0b1101111) + chr(0b1111 + 0o44) + chr(376 - 325) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1708 - 1659) + chr(55) + chr(371 - 319), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1011111 + 0o20) + chr(51) + '\067' + chr(297 - 245), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(52) + chr(302 - 249), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + chr(0b110010) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2052 - 2001) + '\x34' + chr(50), 0o10), ehT0Px3KOsy9('\060' + chr(4632 - 4521) + chr(588 - 537) + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9662 - 9551) + '\061' + chr(0b10101 + 0o41) + chr(0b110010), 33475 - 33467), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001 + 0o146) + chr(0b110101) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3344 - 3233) + '\x34' + chr(2548 - 2496), 44725 - 44717), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110111) + chr(1336 - 1285), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b1101 + 0o44) + chr(917 - 868), ord("\x08")), ehT0Px3KOsy9(chr(2014 - 1966) + '\x6f' + chr(1518 - 1467) + chr(0b110011) + chr(0b10100 + 0o35), 0b1000), ehT0Px3KOsy9(chr(1506 - 1458) + '\157' + '\062' + '\067' + chr(0b10011 + 0o37), 0o10), ehT0Px3KOsy9(chr(1255 - 1207) + chr(111) + chr(0b100100 + 0o16), 0b1000), ehT0Px3KOsy9(chr(1300 - 1252) + '\157' + chr(0b111 + 0o54) + '\066' + chr(0b11111 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\062' + '\x30', 54341 - 54333), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + chr(1291 - 1240), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11000 + 0o31) + '\x35' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101 + 0o142) + chr(0b110011) + chr(51) + chr(0b100011 + 0o21), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\062' + chr(678 - 624), 0b1000), ehT0Px3KOsy9(chr(1345 - 1297) + chr(0b1101111) + '\x31' + chr(0b110000) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x37', 33599 - 33591), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(6695 - 6584) + chr(0b110100) + chr(0b1110 + 0o46), 8), ehT0Px3KOsy9('\x30' + chr(7982 - 7871) + chr(0b10 + 0o61) + chr(0b100110 + 0o12) + chr(0b110010), 30922 - 30914)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(111) + '\x35' + '\x30', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(1472 - 1372) + chr(5975 - 5874) + chr(9577 - 9478) + '\x6f' + chr(0b0 + 0o144) + chr(0b1010 + 0o133))('\165' + '\164' + chr(0b1100110) + chr(1462 - 1417) + chr(635 - 579)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def c67HZ7s0s6HK(oVre8I6UXc3b) -> None:
oVre8I6UXc3b.QiARneucrBZg = None
oVre8I6UXc3b.TtcyHFs_OmbD = ehT0Px3KOsy9(chr(1805 - 1757) + chr(111) + chr(136 - 88), 5876 - 5868)
oVre8I6UXc3b.H97Yioie4lux = ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(0b110001), 0b1000)
oVre8I6UXc3b.yx9g1CYdwNrY = ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101 + 0o53), 8)
oVre8I6UXc3b.I_4lnf2etuVk = None
|
allenai/allennlp
|
allennlp/training/metric_tracker.py
|
MetricTracker.state_dict
|
def state_dict(self) -> Dict[str, Any]:
"""
A ``Trainer`` can use this to serialize the state of the metric tracker.
"""
return {
"best_so_far": self._best_so_far,
"patience": self._patience,
"epochs_with_no_improvement": self._epochs_with_no_improvement,
"is_best_so_far": self._is_best_so_far,
"should_decrease": self._should_decrease,
"best_epoch_metrics": self.best_epoch_metrics,
"epoch_number": self._epoch_number,
"best_epoch": self.best_epoch
}
|
python
|
def state_dict(self) -> Dict[str, Any]:
"""
A ``Trainer`` can use this to serialize the state of the metric tracker.
"""
return {
"best_so_far": self._best_so_far,
"patience": self._patience,
"epochs_with_no_improvement": self._epochs_with_no_improvement,
"is_best_so_far": self._is_best_so_far,
"should_decrease": self._should_decrease,
"best_epoch_metrics": self.best_epoch_metrics,
"epoch_number": self._epoch_number,
"best_epoch": self.best_epoch
}
|
[
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"state_dict",
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"\"best_so_far\"",
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",",
"\"epochs_with_no_improvement\"",
":",
"self",
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"_epochs_with_no_improvement",
",",
"\"is_best_so_far\"",
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"self",
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",",
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":",
"self",
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",",
"\"best_epoch_metrics\"",
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"best_epoch_metrics",
",",
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":",
"self",
".",
"_epoch_number",
",",
"\"best_epoch\"",
":",
"self",
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"best_epoch",
"}"
] |
A ``Trainer`` can use this to serialize the state of the metric tracker.
|
[
"A",
"Trainer",
"can",
"use",
"this",
"to",
"serialize",
"the",
"state",
"of",
"the",
"metric",
"tracker",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/metric_tracker.py#L69-L82
|
train
|
A dictionary that can be used to serialize the state of the metric tracker.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1286 - 1238) + '\157' + chr(905 - 853) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b101100 + 0o6) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8016 - 7905) + chr(0b110100) + chr(0b110100 + 0o3), 51211 - 51203), ehT0Px3KOsy9(chr(1655 - 1607) + chr(0b1101111) + chr(2089 - 2038) + chr(0b11011 + 0o32) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b110011) + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(8792 - 8681) + chr(0b11110 + 0o23) + chr(0b100001 + 0o20) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4122 - 4011) + '\x33' + chr(2245 - 2195) + '\060', ord("\x08")), ehT0Px3KOsy9('\060' + chr(4116 - 4005) + chr(51) + chr(0b110010) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2325 - 2273) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(0b10101 + 0o35) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(51) + '\061', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(998 - 944) + chr(0b110101), 55930 - 55922), ehT0Px3KOsy9(chr(1385 - 1337) + chr(111) + chr(2311 - 2260) + chr(0b110110) + '\065', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b101001 + 0o13) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1444 - 1396) + chr(0b1101111 + 0o0) + '\061' + '\x31' + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + '\062' + chr(0b110100) + chr(205 - 154), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10 + 0o61) + '\x37' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(366 - 318) + chr(111) + chr(0b110011) + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b101100 + 0o5) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2285 - 2237) + chr(5499 - 5388) + chr(0b11101 + 0o25) + '\x35' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(589 - 538) + '\067' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(603 - 553) + chr(0b100100 + 0o21) + chr(2838 - 2784), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + chr(1088 - 1035) + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(0b1101111) + chr(2150 - 2099) + '\064' + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11153 - 11042) + chr(2034 - 1985) + '\063' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2431 - 2381) + chr(49) + '\062', 46934 - 46926), ehT0Px3KOsy9('\060' + chr(9553 - 9442) + '\063' + '\061' + chr(0b110011), 8), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(0b1101111) + chr(373 - 324), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9951 - 9840) + chr(50) + chr(0b110001) + chr(50), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(0b110010) + chr(246 - 191), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(0b1001 + 0o50) + chr(1254 - 1200) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(9611 - 9500) + chr(0b110010) + chr(1670 - 1621) + chr(0b100101 + 0o15), 8), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + '\x33' + chr(0b110110) + chr(0b10 + 0o56), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b110010) + '\x33' + chr(1249 - 1196), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1017 - 967) + chr(55) + chr(0b101010 + 0o6), 32440 - 32432), ehT0Px3KOsy9(chr(0b110000) + chr(0b11 + 0o154) + chr(49) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(1594 - 1483) + '\x35' + chr(0b100011 + 0o22), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001 + 0o1) + chr(1314 - 1265), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(549 - 496) + '\x30', 20101 - 20093)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b'), '\144' + '\145' + chr(0b1100011) + chr(0b10010 + 0o135) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(45) + chr(0b100110 + 0o22)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ibLOdkgHjo3t(oVre8I6UXc3b) -> zBnV56fc6HrA[M8_cKLkHVB2V, R71nhlWr3XQi]:
return {xafqLlk3kkUe(SXOLrMavuUCe(b'G5T\x9d\xc6>\xbf\x8dG\xb6\xeb'), chr(0b1100100) + '\x65' + chr(99) + '\x6f' + chr(2257 - 2157) + chr(7944 - 7843))(chr(6997 - 6880) + chr(116) + chr(0b1100110) + chr(45) + chr(56)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b't9f\xbb\xf7(\xa5\xb1S\x95\xc3\x12'), chr(0b1100100) + chr(2190 - 2089) + chr(4334 - 4235) + chr(0b1101111) + chr(0b1100100) + chr(101))(chr(0b1110010 + 0o3) + chr(8854 - 8738) + '\x66' + chr(0b1000 + 0o45) + chr(56))), xafqLlk3kkUe(SXOLrMavuUCe(b'U1S\x80\xfc#\xb3\xb7'), '\x64' + '\x65' + chr(0b1010010 + 0o21) + '\x6f' + chr(9527 - 9427) + chr(0b1100101))(chr(1734 - 1617) + '\164' + '\146' + chr(45) + chr(0b10100 + 0o44)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'z F\x9d\xf0(\xbe\xb1D'), chr(100) + chr(0b100000 + 0o105) + chr(0b1000000 + 0o43) + '\x6f' + '\144' + chr(101))(chr(9254 - 9137) + '\164' + '\146' + chr(921 - 876) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'@ H\x8a\xf1>\x8f\xa5H\xa3\xf1*\x9b\xcb\x13\xca\x96\xbb\xfd\xc6\x8a\xcb\x81\x870\xfe'), '\x64' + '\145' + chr(935 - 836) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(2005 - 1903) + chr(45) + '\070'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'q$D\x90\xd1\x0b\xa3\x8dn\xba\xfb1'), chr(0b1100100) + chr(0b1100101) + chr(0b10000 + 0o123) + '\x6f' + chr(0b111010 + 0o52) + chr(7312 - 7211))(chr(117) + chr(2168 - 2052) + '\146' + chr(0b1101 + 0o40) + chr(182 - 126))), xafqLlk3kkUe(SXOLrMavuUCe(b'L#x\x8b\xfc>\xa4\x8dR\xb8\xc6\x13\x94\xd6'), chr(1553 - 1453) + chr(7050 - 6949) + chr(0b10111 + 0o114) + '\x6f' + chr(2848 - 2748) + '\x65')('\165' + chr(0b11000 + 0o134) + chr(0b1000111 + 0o37) + chr(0b1000 + 0o45) + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'mi\x10\xb0\xf0"\xb9\xb7\x15\xbb\xec\r'), chr(0b1000110 + 0o36) + chr(101) + chr(0b1000101 + 0o36) + chr(0b1101111) + '\144' + chr(0b1010000 + 0o25))('\165' + chr(13082 - 12966) + '\146' + chr(0b10101 + 0o30) + chr(0b10 + 0o66))), xafqLlk3kkUe(SXOLrMavuUCe(b'V8H\x9c\xf5)\x8f\xb6D\xb4\xeb\x10\x94\xd7)'), '\144' + chr(0b11 + 0o142) + chr(0b1100011) + chr(111) + chr(8297 - 8197) + chr(4504 - 4403))(chr(0b11110 + 0o127) + chr(0b1001011 + 0o51) + chr(5652 - 5550) + '\055' + chr(0b111000)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'z#O\x86\xec!\xb4\x8dE\xb2\xfa\x07\x90\xc5?\xc6'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(9540 - 9423) + chr(11522 - 11406) + chr(2780 - 2678) + chr(1655 - 1610) + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'G5T\x9d\xc6(\xa0\xbdB\xbf\xc6\x18\x90\xd0>\xca\x98\xb8'), chr(7179 - 7079) + chr(0b1100100 + 0o1) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1001101 + 0o30))(chr(117) + chr(116) + '\146' + chr(45) + '\070'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'G5T\x9d\xc6(\xa0\xbdB\xbf\xc6\x18\x90\xd0>\xca\x98\xb8'), chr(0b111010 + 0o52) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\x65')(chr(0b1110101) + chr(116) + '\x66' + '\055' + chr(1913 - 1857))), xafqLlk3kkUe(SXOLrMavuUCe(b'@ H\x8a\xf1\x12\xbe\xa7L\xb5\xfc\x07'), chr(0b1 + 0o143) + '\145' + chr(982 - 883) + chr(0b1101111) + '\144' + chr(2406 - 2305))('\x75' + chr(13047 - 12931) + chr(0b1100110) + chr(363 - 318) + chr(56)): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\\(\x1e\x8e\xa8\x0e\x89\xb6V\x99\xeb,'), '\x64' + chr(9403 - 9302) + chr(0b1100010 + 0o1) + chr(0b1101111) + chr(100) + chr(7285 - 7184))(chr(0b1001001 + 0o54) + '\164' + chr(0b100 + 0o142) + '\x2d' + '\070')), xafqLlk3kkUe(SXOLrMavuUCe(b'G5T\x9d\xc6(\xa0\xbdB\xbf'), '\144' + '\x65' + '\143' + chr(4667 - 4556) + '\144' + chr(3005 - 2904))(chr(0b1110101) + chr(0b1110100) + chr(0b100000 + 0o106) + '\055' + '\070'): xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'l\x0f\x13\x85\xf7+\xe2\xb7U\xa2\xcf\x1e'), chr(0b1100100) + chr(101) + chr(99) + chr(2475 - 2364) + '\x64' + chr(0b1010011 + 0o22))('\x75' + chr(7421 - 7305) + chr(0b101 + 0o141) + chr(0b101101) + chr(974 - 918)))}
|
allenai/allennlp
|
allennlp/training/metric_tracker.py
|
MetricTracker.add_metric
|
def add_metric(self, metric: float) -> None:
"""
Record a new value of the metric and update the various things that depend on it.
"""
new_best = ((self._best_so_far is None) or
(self._should_decrease and metric < self._best_so_far) or
(not self._should_decrease and metric > self._best_so_far))
if new_best:
self.best_epoch = self._epoch_number
self._is_best_so_far = True
self._best_so_far = metric
self._epochs_with_no_improvement = 0
else:
self._is_best_so_far = False
self._epochs_with_no_improvement += 1
self._epoch_number += 1
|
python
|
def add_metric(self, metric: float) -> None:
"""
Record a new value of the metric and update the various things that depend on it.
"""
new_best = ((self._best_so_far is None) or
(self._should_decrease and metric < self._best_so_far) or
(not self._should_decrease and metric > self._best_so_far))
if new_best:
self.best_epoch = self._epoch_number
self._is_best_so_far = True
self._best_so_far = metric
self._epochs_with_no_improvement = 0
else:
self._is_best_so_far = False
self._epochs_with_no_improvement += 1
self._epoch_number += 1
|
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] |
Record a new value of the metric and update the various things that depend on it.
|
[
"Record",
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/metric_tracker.py#L97-L113
|
train
|
Add a metric to the log.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(55) + chr(1713 - 1662), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50), 8065 - 8057), ehT0Px3KOsy9('\x30' + chr(111) + chr(2026 - 1975) + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1881 - 1830) + chr(0b110001) + '\x36', 31233 - 31225), ehT0Px3KOsy9('\060' + chr(111) + chr(0b101000 + 0o12) + chr(0b101110 + 0o11) + chr(52), 0b1000), ehT0Px3KOsy9(chr(202 - 154) + chr(111) + chr(1119 - 1068) + '\067' + chr(0b110010 + 0o2), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(582 - 533) + '\x37' + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b100111 + 0o11) + chr(686 - 632), 0b1000), ehT0Px3KOsy9(chr(48) + chr(7827 - 7716) + chr(54) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + '\063' + chr(53) + chr(0b1001 + 0o55), 20050 - 20042), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1110 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(54) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11011 + 0o26) + '\066', 0b1000), ehT0Px3KOsy9(chr(1515 - 1467) + '\157' + '\x32' + chr(0b110001) + chr(0b101001 + 0o10), 26647 - 26639), ehT0Px3KOsy9('\x30' + '\157' + chr(832 - 779) + chr(0b11110 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b10000 + 0o41) + chr(0b110110) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(2017 - 1969) + chr(111) + chr(436 - 387) + '\x33', 0o10), ehT0Px3KOsy9(chr(2086 - 2038) + chr(111) + chr(373 - 323) + chr(0b1011 + 0o45) + chr(0b110111), 6124 - 6116), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + '\x32' + '\x31' + chr(0b11101 + 0o24), 8), ehT0Px3KOsy9('\060' + '\157' + chr(189 - 139) + chr(51) + chr(53), 62915 - 62907), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + chr(49) + '\063' + chr(55), 38342 - 38334), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(51) + '\062' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + chr(0b110111), 47027 - 47019), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1101111) + '\x33' + chr(0b110101) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11110 + 0o23) + chr(643 - 592) + chr(1740 - 1690), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + '\x32' + chr(49) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2281 - 2230) + chr(0b110111) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1520 - 1472) + '\x6f' + '\x31' + '\x32' + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(3250 - 3139) + chr(2429 - 2378) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(9561 - 9450) + chr(0b10111 + 0o34) + chr(0b110001) + chr(2026 - 1975), 43359 - 43351), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\x33' + chr(0b110011) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110001) + chr(0b100010 + 0o25) + '\x36', 0b1000), ehT0Px3KOsy9('\060' + chr(9065 - 8954) + chr(0b1001 + 0o50) + chr(0b110000) + chr(0b110111), 18648 - 18640), ehT0Px3KOsy9('\x30' + chr(5696 - 5585) + '\061' + chr(0b1111 + 0o46) + chr(2350 - 2300), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1011010 + 0o25) + '\x32' + '\x34' + chr(1649 - 1596), 16749 - 16741), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b10110 + 0o32) + chr(49), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(55) + chr(0b10111 + 0o31), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10111 + 0o130) + chr(50) + '\061' + chr(0b11 + 0o56), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110101) + chr(53), 62160 - 62152)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100100 + 0o21) + chr(0b1101 + 0o43), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'U'), chr(0b11001 + 0o113) + '\145' + chr(0b1100011) + '\x6f' + '\144' + chr(0b1100101))(chr(0b10010 + 0o143) + '\x74' + chr(9871 - 9769) + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YRz3NI0JRC6A(oVre8I6UXc3b, UyTbk4dY9zDl) -> None:
brWY6Y1_VLX5 = oVre8I6UXc3b.QiARneucrBZg is None or (oVre8I6UXc3b._should_decrease and UyTbk4dY9zDl < oVre8I6UXc3b.QiARneucrBZg) or (not oVre8I6UXc3b._should_decrease and UyTbk4dY9zDl > oVre8I6UXc3b.QiARneucrBZg)
if brWY6Y1_VLX5:
oVre8I6UXc3b.I_4lnf2etuVk = oVre8I6UXc3b.yx9g1CYdwNrY
oVre8I6UXc3b.H97Yioie4lux = ehT0Px3KOsy9(chr(1944 - 1896) + '\x6f' + chr(244 - 195), ord("\x08"))
oVre8I6UXc3b.QiARneucrBZg = UyTbk4dY9zDl
oVre8I6UXc3b.TtcyHFs_OmbD = ehT0Px3KOsy9('\x30' + chr(3139 - 3028) + chr(48), 0b1000)
else:
oVre8I6UXc3b.H97Yioie4lux = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2130 - 2082), 8)
oVre8I6UXc3b.TtcyHFs_OmbD += ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(1763 - 1714), 8)
oVre8I6UXc3b.yx9g1CYdwNrY += ehT0Px3KOsy9(chr(48) + chr(7137 - 7026) + '\x31', 8)
|
allenai/allennlp
|
allennlp/training/metric_tracker.py
|
MetricTracker.add_metrics
|
def add_metrics(self, metrics: Iterable[float]) -> None:
"""
Helper to add multiple metrics at once.
"""
for metric in metrics:
self.add_metric(metric)
|
python
|
def add_metrics(self, metrics: Iterable[float]) -> None:
"""
Helper to add multiple metrics at once.
"""
for metric in metrics:
self.add_metric(metric)
|
[
"def",
"add_metrics",
"(",
"self",
",",
"metrics",
":",
"Iterable",
"[",
"float",
"]",
")",
"->",
"None",
":",
"for",
"metric",
"in",
"metrics",
":",
"self",
".",
"add_metric",
"(",
"metric",
")"
] |
Helper to add multiple metrics at once.
|
[
"Helper",
"to",
"add",
"multiple",
"metrics",
"at",
"once",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/metric_tracker.py#L115-L120
|
train
|
Helper to add multiple metrics at once.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1547 - 1499) + chr(0b1001110 + 0o41) + chr(0b101000 + 0o12) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b100100 + 0o20), 21230 - 21222), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b10111 + 0o130) + chr(0b10011 + 0o40) + chr(0b110110), 41345 - 41337), ehT0Px3KOsy9(chr(0b110000) + chr(238 - 127) + chr(0b110100) + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o54) + chr(469 - 415) + chr(0b110001), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2320 - 2271) + '\x35' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(735 - 683) + chr(602 - 554), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(1815 - 1766) + chr(0b110010 + 0o3) + chr(0b100001 + 0o22), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11011 + 0o30) + '\x33' + '\x37', 0b1000), ehT0Px3KOsy9(chr(2129 - 2081) + chr(0b1101111) + chr(1392 - 1343) + chr(2254 - 2203) + chr(1132 - 1078), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b1101111) + chr(0b110101 + 0o2) + '\x35', 0o10), ehT0Px3KOsy9('\060' + chr(3451 - 3340) + chr(0b110001) + chr(0b101101 + 0o10) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b100100 + 0o15) + chr(648 - 595) + chr(52), 63950 - 63942), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(0b110001) + chr(0b110001) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + '\x32' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1865 - 1816) + chr(1432 - 1383) + chr(328 - 275), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(0b110101) + chr(2284 - 2233), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b1101100 + 0o3) + '\062' + chr(0b101 + 0o62) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(0b101011 + 0o7) + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(0b110001) + chr(2530 - 2477), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(710 - 662) + chr(396 - 344), 40587 - 40579), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\063' + chr(0b110001) + chr(465 - 410), 0b1000), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + '\x32' + chr(53) + chr(53), 12050 - 12042), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(2748 - 2693) + chr(0b100101 + 0o14), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(49) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11302 - 11191) + '\x33' + chr(0b110101) + '\066', 8518 - 8510), ehT0Px3KOsy9(chr(1570 - 1522) + chr(0b1101111) + '\062' + chr(0b10011 + 0o44) + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(0b101001 + 0o10) + chr(123 - 75), 0o10), ehT0Px3KOsy9(chr(170 - 122) + '\x6f' + '\063' + '\065' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1000111 + 0o50) + '\x37' + chr(1540 - 1491), 764 - 756), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + '\063' + chr(0b110101) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(50) + chr(0b100001 + 0o22) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1491 - 1442) + chr(54) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + '\064' + chr(0b110011), 41434 - 41426), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\x32' + chr(0b10001 + 0o45), 15140 - 15132), ehT0Px3KOsy9(chr(1381 - 1333) + '\x6f' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(2340 - 2290) + chr(264 - 212) + chr(55), 39926 - 39918), ehT0Px3KOsy9(chr(880 - 832) + '\x6f' + chr(0b100101 + 0o16) + chr(2959 - 2904) + '\x32', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9865 - 9754) + chr(0b1010 + 0o47) + chr(54) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(5414 - 5303) + '\x35' + chr(0b1100 + 0o44), 60419 - 60411)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(0b1100100) + chr(5061 - 4960) + chr(99) + chr(3774 - 3663) + chr(100) + '\x65')(chr(117) + chr(0b100011 + 0o121) + chr(0b10110 + 0o120) + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def UXmrFBK0LJxG(oVre8I6UXc3b, yYegMqDoSfs5) -> None:
for UyTbk4dY9zDl in yYegMqDoSfs5:
xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'qpzx\xdc\r\xd4\x19\xb6='), '\144' + '\145' + chr(0b1100011) + chr(2608 - 2497) + chr(0b1100100) + '\x65')('\165' + chr(10251 - 10135) + chr(102) + '\x2d' + '\x38'))(UyTbk4dY9zDl)
|
allenai/allennlp
|
allennlp/training/metric_tracker.py
|
MetricTracker.should_stop_early
|
def should_stop_early(self) -> bool:
"""
Returns true if improvement has stopped for long enough.
"""
if self._patience is None:
return False
else:
return self._epochs_with_no_improvement >= self._patience
|
python
|
def should_stop_early(self) -> bool:
"""
Returns true if improvement has stopped for long enough.
"""
if self._patience is None:
return False
else:
return self._epochs_with_no_improvement >= self._patience
|
[
"def",
"should_stop_early",
"(",
"self",
")",
"->",
"bool",
":",
"if",
"self",
".",
"_patience",
"is",
"None",
":",
"return",
"False",
"else",
":",
"return",
"self",
".",
"_epochs_with_no_improvement",
">=",
"self",
".",
"_patience"
] |
Returns true if improvement has stopped for long enough.
|
[
"Returns",
"true",
"if",
"improvement",
"has",
"stopped",
"for",
"long",
"enough",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/metric_tracker.py#L128-L135
|
train
|
Returns true if improvement has stopped for long enough.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(384 - 336) + chr(0b1101111) + '\x31' + chr(0b101010 + 0o11) + '\066', 50233 - 50225), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10011 + 0o37) + chr(2787 - 2732) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x37' + chr(2214 - 2160), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\x32' + chr(0b110100), 9287 - 9279), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(51) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4742 - 4631) + chr(49) + chr(49) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b110011) + chr(1323 - 1273) + chr(0b11111 + 0o23), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + chr(51), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(9838 - 9727) + chr(1197 - 1146) + '\x34' + chr(994 - 943), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(50) + '\062' + chr(415 - 360), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8742 - 8631) + chr(49) + chr(0b100110 + 0o20) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b10001 + 0o136) + chr(0b1 + 0o60) + '\x34' + '\067', 24821 - 24813), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b1010100 + 0o33) + chr(603 - 552) + chr(52) + '\x36', 20068 - 20060), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(3128 - 3017) + chr(0b11100 + 0o25) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b10011 + 0o41) + chr(0b100111 + 0o14), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(245 - 193) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1010001 + 0o36) + chr(0b110001) + chr(0b110000 + 0o0) + chr(53), 40563 - 40555), ehT0Px3KOsy9(chr(48) + chr(915 - 804) + chr(1263 - 1212) + '\060' + chr(0b110100), 30336 - 30328), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2310 - 2260) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1298 - 1250) + chr(0b1101111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1131 - 1083) + '\157' + chr(0b11100 + 0o32) + chr(671 - 621), 16314 - 16306), ehT0Px3KOsy9(chr(656 - 608) + chr(0b1101111) + chr(0b110011) + chr(1129 - 1079), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1291 - 1236), 35027 - 35019), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(69 - 20) + chr(0b11100 + 0o26) + chr(1865 - 1812), 0o10), ehT0Px3KOsy9(chr(194 - 146) + '\x6f' + chr(1839 - 1788) + chr(1964 - 1910) + chr(0b1001 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(52) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101 + 0o152) + chr(0b110011) + chr(0b110101) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(974 - 926) + chr(0b1011110 + 0o21) + chr(961 - 911) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\065' + chr(2510 - 2456), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1009 - 960), 56996 - 56988), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(3016 - 2905) + chr(50) + '\060' + chr(1861 - 1807), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(53) + chr(0b11010 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b110110 + 0o71) + chr(1571 - 1521) + '\x37' + chr(598 - 544), 31157 - 31149), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2392 - 2342) + chr(0b110101) + chr(2034 - 1984), 19423 - 19415), ehT0Px3KOsy9(chr(581 - 533) + chr(6405 - 6294) + chr(50) + chr(1492 - 1442) + chr(0b110110), 48719 - 48711), ehT0Px3KOsy9('\x30' + chr(1074 - 963) + chr(55) + chr(0b1011 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(495 - 384) + '\x33' + '\067' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8073 - 7962) + chr(709 - 660) + '\065' + chr(51), 38516 - 38508)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(53) + chr(0b101000 + 0o10), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'p'), '\x64' + '\x65' + chr(8112 - 8013) + '\157' + chr(0b1100100) + '\x65')(chr(0b1110101) + '\x74' + '\146' + chr(206 - 161) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def WHG4fBdnBbgV(oVre8I6UXc3b) -> WbBjf8Y7v9VN:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xcb\x9f\xe0\xb2/\xbcp\x00'), chr(0b1001111 + 0o25) + '\x65' + '\143' + chr(0b1101111) + chr(100) + chr(9938 - 9837))(chr(0b1110101) + chr(2769 - 2653) + chr(0b1100110) + chr(0b11 + 0o52) + '\070')) is None:
return ehT0Px3KOsy9(chr(2187 - 2139) + chr(111) + chr(0b110000), 0o10)
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\xcf\x9d\xed\x93\x0c\xa1L*\x8e\xf57'), '\x64' + chr(4655 - 4554) + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(0b101111 + 0o65) + chr(2354 - 2253))(chr(117) + chr(9341 - 9225) + chr(0b1100110) + chr(0b101101) + chr(56))) >= xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xcb\x9f\xe0\xb2/\xbcp\x00'), '\x64' + chr(9674 - 9573) + chr(99) + '\157' + chr(100) + '\145')('\165' + chr(0b1110011 + 0o1) + '\x66' + '\055' + chr(0b10110 + 0o42)))
|
allenai/allennlp
|
allennlp/models/archival.py
|
archive_model
|
def archive_model(serialization_dir: str,
weights: str = _DEFAULT_WEIGHTS,
files_to_archive: Dict[str, str] = None,
archive_path: str = None) -> None:
"""
Archive the model weights, its training configuration, and its
vocabulary to `model.tar.gz`. Include the additional ``files_to_archive``
if provided.
Parameters
----------
serialization_dir: ``str``
The directory where the weights and vocabulary are written out.
weights: ``str``, optional (default=_DEFAULT_WEIGHTS)
Which weights file to include in the archive. The default is ``best.th``.
files_to_archive: ``Dict[str, str]``, optional (default=None)
A mapping {flattened_key -> filename} of supplementary files to include
in the archive. That is, if you wanted to include ``params['model']['weights']``
then you would specify the key as `"model.weights"`.
archive_path : ``str``, optional, (default = None)
A full path to serialize the model to. The default is "model.tar.gz" inside the
serialization_dir. If you pass a directory here, we'll serialize the model
to "model.tar.gz" inside the directory.
"""
weights_file = os.path.join(serialization_dir, weights)
if not os.path.exists(weights_file):
logger.error("weights file %s does not exist, unable to archive model", weights_file)
return
config_file = os.path.join(serialization_dir, CONFIG_NAME)
if not os.path.exists(config_file):
logger.error("config file %s does not exist, unable to archive model", config_file)
# If there are files we want to archive, write out the mapping
# so that we can use it during de-archiving.
if files_to_archive:
fta_filename = os.path.join(serialization_dir, _FTA_NAME)
with open(fta_filename, 'w') as fta_file:
fta_file.write(json.dumps(files_to_archive))
if archive_path is not None:
archive_file = archive_path
if os.path.isdir(archive_file):
archive_file = os.path.join(archive_file, "model.tar.gz")
else:
archive_file = os.path.join(serialization_dir, "model.tar.gz")
logger.info("archiving weights and vocabulary to %s", archive_file)
with tarfile.open(archive_file, 'w:gz') as archive:
archive.add(config_file, arcname=CONFIG_NAME)
archive.add(weights_file, arcname=_WEIGHTS_NAME)
archive.add(os.path.join(serialization_dir, "vocabulary"),
arcname="vocabulary")
# If there are supplemental files to archive:
if files_to_archive:
# Archive the { flattened_key -> original_filename } mapping.
archive.add(fta_filename, arcname=_FTA_NAME)
# And add each requested file to the archive.
for key, filename in files_to_archive.items():
archive.add(filename, arcname=f"fta/{key}")
|
python
|
def archive_model(serialization_dir: str,
weights: str = _DEFAULT_WEIGHTS,
files_to_archive: Dict[str, str] = None,
archive_path: str = None) -> None:
"""
Archive the model weights, its training configuration, and its
vocabulary to `model.tar.gz`. Include the additional ``files_to_archive``
if provided.
Parameters
----------
serialization_dir: ``str``
The directory where the weights and vocabulary are written out.
weights: ``str``, optional (default=_DEFAULT_WEIGHTS)
Which weights file to include in the archive. The default is ``best.th``.
files_to_archive: ``Dict[str, str]``, optional (default=None)
A mapping {flattened_key -> filename} of supplementary files to include
in the archive. That is, if you wanted to include ``params['model']['weights']``
then you would specify the key as `"model.weights"`.
archive_path : ``str``, optional, (default = None)
A full path to serialize the model to. The default is "model.tar.gz" inside the
serialization_dir. If you pass a directory here, we'll serialize the model
to "model.tar.gz" inside the directory.
"""
weights_file = os.path.join(serialization_dir, weights)
if not os.path.exists(weights_file):
logger.error("weights file %s does not exist, unable to archive model", weights_file)
return
config_file = os.path.join(serialization_dir, CONFIG_NAME)
if not os.path.exists(config_file):
logger.error("config file %s does not exist, unable to archive model", config_file)
# If there are files we want to archive, write out the mapping
# so that we can use it during de-archiving.
if files_to_archive:
fta_filename = os.path.join(serialization_dir, _FTA_NAME)
with open(fta_filename, 'w') as fta_file:
fta_file.write(json.dumps(files_to_archive))
if archive_path is not None:
archive_file = archive_path
if os.path.isdir(archive_file):
archive_file = os.path.join(archive_file, "model.tar.gz")
else:
archive_file = os.path.join(serialization_dir, "model.tar.gz")
logger.info("archiving weights and vocabulary to %s", archive_file)
with tarfile.open(archive_file, 'w:gz') as archive:
archive.add(config_file, arcname=CONFIG_NAME)
archive.add(weights_file, arcname=_WEIGHTS_NAME)
archive.add(os.path.join(serialization_dir, "vocabulary"),
arcname="vocabulary")
# If there are supplemental files to archive:
if files_to_archive:
# Archive the { flattened_key -> original_filename } mapping.
archive.add(fta_filename, arcname=_FTA_NAME)
# And add each requested file to the archive.
for key, filename in files_to_archive.items():
archive.add(filename, arcname=f"fta/{key}")
|
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",",
"arcname",
"=",
"f\"fta/{key}\"",
")"
] |
Archive the model weights, its training configuration, and its
vocabulary to `model.tar.gz`. Include the additional ``files_to_archive``
if provided.
Parameters
----------
serialization_dir: ``str``
The directory where the weights and vocabulary are written out.
weights: ``str``, optional (default=_DEFAULT_WEIGHTS)
Which weights file to include in the archive. The default is ``best.th``.
files_to_archive: ``Dict[str, str]``, optional (default=None)
A mapping {flattened_key -> filename} of supplementary files to include
in the archive. That is, if you wanted to include ``params['model']['weights']``
then you would specify the key as `"model.weights"`.
archive_path : ``str``, optional, (default = None)
A full path to serialize the model to. The default is "model.tar.gz" inside the
serialization_dir. If you pass a directory here, we'll serialize the model
to "model.tar.gz" inside the directory.
|
[
"Archive",
"the",
"model",
"weights",
"its",
"training",
"configuration",
"and",
"its",
"vocabulary",
"to",
"model",
".",
"tar",
".",
"gz",
".",
"Include",
"the",
"additional",
"files_to_archive",
"if",
"provided",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/archival.py#L89-L148
|
train
|
Archive the model with the given weights and vocabulary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\061' + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9(chr(1862 - 1814) + '\x6f' + '\x37' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1100001 + 0o16) + chr(50) + chr(0b110010) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(55) + '\065', 61143 - 61135), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(2360 - 2306) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(48) + chr(0b110001), 49566 - 49558), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1010 + 0o47) + chr(0b101 + 0o62), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o2) + chr(54) + '\x34', 27030 - 27022), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x33' + chr(0b10101 + 0o35) + '\063', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(0b110111 + 0o0) + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10100 + 0o36), 274 - 266), ehT0Px3KOsy9(chr(716 - 668) + '\157' + chr(0b101101 + 0o3), 65505 - 65497), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(1818 - 1764) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b11101 + 0o25) + chr(0b110011) + '\066', 11193 - 11185), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(1839 - 1787) + chr(0b1111 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(0b10110 + 0o33) + chr(0b110 + 0o61) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10001 + 0o41) + chr(54) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\067' + chr(55), 34694 - 34686), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\061', 2037 - 2029), ehT0Px3KOsy9(chr(48) + chr(4581 - 4470) + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110000 + 0o1) + '\060' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + '\062' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(787 - 739) + chr(1305 - 1194) + chr(2548 - 2494) + chr(50), 21410 - 21402), ehT0Px3KOsy9(chr(0b110000) + chr(1073 - 962) + '\x33' + chr(923 - 869) + chr(0b101110 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11619 - 11508) + '\063' + '\x34' + '\067', 62918 - 62910), ehT0Px3KOsy9(chr(48) + chr(8558 - 8447) + '\063' + chr(2623 - 2568) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(55) + '\x34', 7750 - 7742), ehT0Px3KOsy9('\060' + chr(1748 - 1637) + '\063' + chr(0b100001 + 0o17), 29068 - 29060), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(0b110001) + chr(1703 - 1651), 0o10), ehT0Px3KOsy9(chr(1263 - 1215) + chr(7039 - 6928) + chr(0b0 + 0o63) + chr(0b0 + 0o61) + '\062', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(584 - 536) + '\x6f' + chr(0b110001) + chr(0b10010 + 0o45), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(0b101010 + 0o10) + chr(180 - 132), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6991 - 6880) + '\063' + chr(0b110001) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\063' + chr(543 - 490) + '\060', 15493 - 15485), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110001) + '\x30', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1199 - 1144) + chr(0b110110), 8), ehT0Px3KOsy9('\x30' + chr(4160 - 4049) + chr(50) + chr(49) + chr(1981 - 1931), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o5) + chr(0b101011 + 0o10) + chr(0b110100), 38404 - 38396)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(0b11100 + 0o24), 47174 - 47166)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(0b1010 + 0o133))(chr(117) + '\x74' + chr(0b1100110) + chr(706 - 661) + chr(2425 - 2369)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def vKkKJlh0Qz4u(_NgEteHO5j9h, ZurHTci57aXw=sp8w6lUArCJR, pc43UazYMoMT=None, UHbEU_uzoL4X=None) -> None:
lB0dvsL5cSLR = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, ZurHTci57aXw)
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\tF\xfeN\x01\xf2'), chr(0b10110 + 0o116) + chr(6366 - 6265) + chr(99) + '\x6f' + '\x64' + '\145')(chr(6620 - 6503) + chr(116) + '\x66' + chr(45) + chr(56)))(lB0dvsL5cSLR):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b')k\xf3m\x14\xf5@\xe7\xe2\xccz0'), '\x64' + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(3824 - 3724) + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(0b110111 + 0o1)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b[\xfeZ\x1d\xf5|\x94\xb5\xd2ne\x95\x1e\xed\xc5\x1e\xd8Zb\n.\xfbF\xd4\x82\x86Uk\xf8\xe62z>\xa9\x8a\xa4[\xaa\xe8\x03\x1e\xf6O\x16\xe9f\xc2\xb6\x9boo\xd1^\xf2'), chr(0b1100100) + chr(5812 - 5711) + chr(5221 - 5122) + chr(0b10011 + 0o134) + '\x64' + chr(4365 - 4264))('\165' + chr(116) + chr(0b101010 + 0o74) + chr(0b11001 + 0o24) + chr(1061 - 1005)), lB0dvsL5cSLR)
return
umYO37c7rPBE = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, aalLhedSsWYM)
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\tF\xfeN\x01\xf2'), chr(7602 - 7502) + chr(9945 - 9844) + chr(0b10000 + 0o123) + '\157' + '\x64' + chr(5172 - 5071))(chr(725 - 608) + '\164' + chr(0b101000 + 0o76) + chr(0b101101) + chr(2085 - 2029)))(umYO37c7rPBE):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b')k\xf3m\x14\xf5@\xe7\xe2\xccz0'), chr(0b1100100) + '\145' + chr(0b1011001 + 0o12) + '\157' + chr(100) + '\x65')(chr(117) + chr(116) + chr(5002 - 4900) + chr(45) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0fQ\xf9[\x1c\xe6/\xd2\xba\xd7g \x90H\xbe\x81\x15\xd2L1D/\xe0\x12\x91\x9f\x97Ol\xa0\xeaga1\xaa\x84\xad\x1e\xfe\xf3L_\xe5^\x1d\xe8y\xd1\xf3\xd6md\xd0W'), chr(0b1100100) + chr(0b1001101 + 0o30) + chr(6750 - 6651) + '\157' + '\x64' + '\x65')(chr(0b1011101 + 0o30) + '\164' + chr(102) + chr(45) + chr(56)), umYO37c7rPBE)
if pc43UazYMoMT:
bRPt7rUs68CV = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, b2642X2KirPD)
with _fwkIVCGgtAN(bRPt7rUs68CV, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b'), chr(0b1100100) + chr(0b100111 + 0o76) + chr(0b1100011) + chr(111) + chr(0b1010100 + 0o20) + chr(101))('\x75' + '\164' + '\x66' + '\x2d' + chr(56))) as Eiy16Fz1Chlt:
xafqLlk3kkUe(Eiy16Fz1Chlt, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bL\xfeI\x10'), chr(100) + '\x65' + chr(0b1100011) + chr(0b10001 + 0o136) + chr(0b100010 + 0o102) + '\145')(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(0b100110 + 0o7) + '\070'))(xafqLlk3kkUe(fXk443epxtd5, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08K\xfaM\x06'), chr(100) + chr(0b1100101) + '\143' + chr(0b1101111) + chr(100) + '\x65')('\165' + '\164' + chr(102) + chr(1772 - 1727) + chr(0b111000)))(pc43UazYMoMT))
if UHbEU_uzoL4X is not None:
dyP4gOEkYnfH = UHbEU_uzoL4X
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05M\xf3T\x07'), '\144' + chr(0b10 + 0o143) + chr(99) + '\x6f' + chr(0b1011110 + 0o6) + chr(2971 - 2870))(chr(0b1110101) + chr(0b1101111 + 0o5) + chr(5819 - 5717) + '\x2d' + chr(56)))(dyP4gOEkYnfH):
dyP4gOEkYnfH = oqhJDdMJfuwx.path._oWXztVNnqHF(dyP4gOEkYnfH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01Q\xf3X\x19\xaf{\xd5\xa1\x95ez'), chr(100) + chr(5492 - 5391) + '\143' + chr(7811 - 7700) + chr(100) + '\145')('\x75' + chr(7881 - 7765) + chr(4231 - 4129) + chr(0b101101) + chr(56)))
else:
dyP4gOEkYnfH = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01Q\xf3X\x19\xaf{\xd5\xa1\x95ez'), chr(100) + '\145' + chr(0b111001 + 0o52) + '\x6f' + chr(0b11101 + 0o107) + chr(101))(chr(117) + chr(12353 - 12237) + chr(3512 - 3410) + chr(45) + chr(0b111000 + 0o0)))
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'?\t\xdfE\x00\xe2h\x83\xb9\xd7Xk'), '\144' + chr(0b1100101) + '\143' + '\x6f' + chr(6395 - 6295) + chr(0b1100101))('\x75' + '\164' + chr(0b1010001 + 0o25) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\rL\xf4U\x1c\xf7f\xda\xb4\x9bue\xdc\\\xf6\x91\t\x97^\x7fN`\xe2]\x97\x86\x9cIt\xed\xb8k/$\xa7\xc8\xedM'), chr(0b11 + 0o141) + chr(0b1000111 + 0o36) + '\x63' + chr(10001 - 9890) + chr(0b1100100) + '\x65')('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)), dyP4gOEkYnfH)
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'\x03N\xf2S'), chr(0b101100 + 0o70) + '\145' + '\x63' + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(9223 - 9107) + chr(2835 - 2733) + '\x2d' + '\070'))(dyP4gOEkYnfH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\x04\xf0G'), chr(0b101111 + 0o65) + chr(7052 - 6951) + '\143' + chr(0b1101111) + chr(0b100001 + 0o103) + '\145')('\x75' + chr(0b111001 + 0o73) + '\x66' + '\055' + chr(906 - 850))) as PlsPgRbNZBi4:
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19t\xa7LL\xe2H\x81\x89\xf4P3'), chr(0b1100100) + '\x65' + chr(2989 - 2890) + chr(7993 - 7882) + chr(0b1001 + 0o133) + chr(4959 - 4858))(chr(11684 - 11567) + chr(0b1110100) + '\x66' + '\055' + chr(0b110000 + 0o10)))(umYO37c7rPBE, arcname=aalLhedSsWYM)
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19t\xa7LL\xe2H\x81\x89\xf4P3'), chr(0b10101 + 0o117) + chr(101) + '\x63' + chr(0b1101111) + '\144' + chr(0b101101 + 0o70))(chr(0b1110101) + chr(0b1001100 + 0o50) + chr(0b110110 + 0o60) + '\055' + chr(0b111000)))(lB0dvsL5cSLR, arcname=t1BBlehw5NCm)
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19t\xa7LL\xe2H\x81\x89\xf4P3'), chr(4568 - 4468) + chr(0b1001111 + 0o26) + '\x63' + chr(0b1010100 + 0o33) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(9665 - 9563) + chr(45) + '\070'))(xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'3Q\xc0e\x0f\xf5Y\xfa\xbd\xcaJF'), '\x64' + '\145' + chr(99) + '\157' + '\x64' + chr(0b10111 + 0o116))(chr(2762 - 2645) + chr(0b1110100) + chr(9512 - 9410) + '\055' + chr(0b100110 + 0o22)))(_NgEteHO5j9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aQ\xf4\\\x17\xf4c\xd5\xa1\xc2'), chr(100) + chr(101) + chr(2243 - 2144) + chr(111) + chr(100) + chr(0b11110 + 0o107))('\165' + chr(0b11111 + 0o125) + '\146' + chr(857 - 812) + chr(56))), arcname=xafqLlk3kkUe(SXOLrMavuUCe(b'\x1aQ\xf4\\\x17\xf4c\xd5\xa1\xc2'), chr(100) + chr(101) + chr(99) + '\157' + chr(1397 - 1297) + chr(5419 - 5318))(chr(117) + chr(0b1110100) + chr(0b1100110) + chr(974 - 929) + chr(318 - 262)))
if pc43UazYMoMT:
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19t\xa7LL\xe2H\x81\x89\xf4P3'), '\x64' + chr(0b1100101) + '\x63' + chr(111) + chr(5736 - 5636) + '\145')(chr(0b1001001 + 0o54) + chr(9626 - 9510) + chr(102) + chr(0b10010 + 0o33) + '\070'))(bRPt7rUs68CV, arcname=b2642X2KirPD)
for (K3J4ZwSlE0sT, xw4DsBfIJ22E) in xafqLlk3kkUe(pc43UazYMoMT, xafqLlk3kkUe(SXOLrMavuUCe(b'"D\xe1X<\xdb<\xfd\xbf\xe8J9'), chr(9539 - 9439) + chr(0b1100101) + chr(1557 - 1458) + chr(9811 - 9700) + '\144' + '\x65')(chr(0b1110101) + chr(116) + chr(0b10000 + 0o126) + '\055' + chr(56)))():
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b'\x19t\xa7LL\xe2H\x81\x89\xf4P3'), '\144' + chr(101) + chr(99) + '\157' + chr(9447 - 9347) + chr(0b1100101))(chr(0b11011 + 0o132) + chr(0b1110100) + chr(102) + '\x2d' + chr(1300 - 1244)))(xw4DsBfIJ22E, arcname=f'fta/{K3J4ZwSlE0sT}')
|
allenai/allennlp
|
allennlp/models/archival.py
|
load_archive
|
def load_archive(archive_file: str,
cuda_device: int = -1,
overrides: str = "",
weights_file: str = None) -> Archive:
"""
Instantiates an Archive from an archived `tar.gz` file.
Parameters
----------
archive_file: ``str``
The archive file to load the model from.
weights_file: ``str``, optional (default = None)
The weights file to use. If unspecified, weights.th in the archive_file will be used.
cuda_device: ``int``, optional (default = -1)
If `cuda_device` is >= 0, the model will be loaded onto the
corresponding GPU. Otherwise it will be loaded onto the CPU.
overrides: ``str``, optional (default = "")
JSON overrides to apply to the unarchived ``Params`` object.
"""
# redirect to the cache, if necessary
resolved_archive_file = cached_path(archive_file)
if resolved_archive_file == archive_file:
logger.info(f"loading archive file {archive_file}")
else:
logger.info(f"loading archive file {archive_file} from cache at {resolved_archive_file}")
if os.path.isdir(resolved_archive_file):
serialization_dir = resolved_archive_file
else:
# Extract archive to temp dir
tempdir = tempfile.mkdtemp()
logger.info(f"extracting archive file {resolved_archive_file} to temp dir {tempdir}")
with tarfile.open(resolved_archive_file, 'r:gz') as archive:
archive.extractall(tempdir)
# Postpone cleanup until exit in case the unarchived contents are needed outside
# this function.
atexit.register(_cleanup_archive_dir, tempdir)
serialization_dir = tempdir
# Check for supplemental files in archive
fta_filename = os.path.join(serialization_dir, _FTA_NAME)
if os.path.exists(fta_filename):
with open(fta_filename, 'r') as fta_file:
files_to_archive = json.loads(fta_file.read())
# Add these replacements to overrides
replacements_dict: Dict[str, Any] = {}
for key, original_filename in files_to_archive.items():
replacement_filename = os.path.join(serialization_dir, f"fta/{key}")
if os.path.exists(replacement_filename):
replacements_dict[key] = replacement_filename
else:
logger.warning(f"Archived file {replacement_filename} not found! At train time "
f"this file was located at {original_filename}. This may be "
"because you are loading a serialization directory. Attempting to "
"load the file from its train-time location.")
overrides_dict = parse_overrides(overrides)
combined_dict = with_fallback(preferred=overrides_dict, fallback=unflatten(replacements_dict))
overrides = json.dumps(combined_dict)
# Load config
config = Params.from_file(os.path.join(serialization_dir, CONFIG_NAME), overrides)
config.loading_from_archive = True
if weights_file:
weights_path = weights_file
else:
weights_path = os.path.join(serialization_dir, _WEIGHTS_NAME)
# Fallback for serialization directories.
if not os.path.exists(weights_path):
weights_path = os.path.join(serialization_dir, _DEFAULT_WEIGHTS)
# Instantiate model. Use a duplicate of the config, as it will get consumed.
model = Model.load(config.duplicate(),
weights_file=weights_path,
serialization_dir=serialization_dir,
cuda_device=cuda_device)
return Archive(model=model, config=config)
|
python
|
def load_archive(archive_file: str,
cuda_device: int = -1,
overrides: str = "",
weights_file: str = None) -> Archive:
"""
Instantiates an Archive from an archived `tar.gz` file.
Parameters
----------
archive_file: ``str``
The archive file to load the model from.
weights_file: ``str``, optional (default = None)
The weights file to use. If unspecified, weights.th in the archive_file will be used.
cuda_device: ``int``, optional (default = -1)
If `cuda_device` is >= 0, the model will be loaded onto the
corresponding GPU. Otherwise it will be loaded onto the CPU.
overrides: ``str``, optional (default = "")
JSON overrides to apply to the unarchived ``Params`` object.
"""
# redirect to the cache, if necessary
resolved_archive_file = cached_path(archive_file)
if resolved_archive_file == archive_file:
logger.info(f"loading archive file {archive_file}")
else:
logger.info(f"loading archive file {archive_file} from cache at {resolved_archive_file}")
if os.path.isdir(resolved_archive_file):
serialization_dir = resolved_archive_file
else:
# Extract archive to temp dir
tempdir = tempfile.mkdtemp()
logger.info(f"extracting archive file {resolved_archive_file} to temp dir {tempdir}")
with tarfile.open(resolved_archive_file, 'r:gz') as archive:
archive.extractall(tempdir)
# Postpone cleanup until exit in case the unarchived contents are needed outside
# this function.
atexit.register(_cleanup_archive_dir, tempdir)
serialization_dir = tempdir
# Check for supplemental files in archive
fta_filename = os.path.join(serialization_dir, _FTA_NAME)
if os.path.exists(fta_filename):
with open(fta_filename, 'r') as fta_file:
files_to_archive = json.loads(fta_file.read())
# Add these replacements to overrides
replacements_dict: Dict[str, Any] = {}
for key, original_filename in files_to_archive.items():
replacement_filename = os.path.join(serialization_dir, f"fta/{key}")
if os.path.exists(replacement_filename):
replacements_dict[key] = replacement_filename
else:
logger.warning(f"Archived file {replacement_filename} not found! At train time "
f"this file was located at {original_filename}. This may be "
"because you are loading a serialization directory. Attempting to "
"load the file from its train-time location.")
overrides_dict = parse_overrides(overrides)
combined_dict = with_fallback(preferred=overrides_dict, fallback=unflatten(replacements_dict))
overrides = json.dumps(combined_dict)
# Load config
config = Params.from_file(os.path.join(serialization_dir, CONFIG_NAME), overrides)
config.loading_from_archive = True
if weights_file:
weights_path = weights_file
else:
weights_path = os.path.join(serialization_dir, _WEIGHTS_NAME)
# Fallback for serialization directories.
if not os.path.exists(weights_path):
weights_path = os.path.join(serialization_dir, _DEFAULT_WEIGHTS)
# Instantiate model. Use a duplicate of the config, as it will get consumed.
model = Model.load(config.duplicate(),
weights_file=weights_path,
serialization_dir=serialization_dir,
cuda_device=cuda_device)
return Archive(model=model, config=config)
|
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Instantiates an Archive from an archived `tar.gz` file.
Parameters
----------
archive_file: ``str``
The archive file to load the model from.
weights_file: ``str``, optional (default = None)
The weights file to use. If unspecified, weights.th in the archive_file will be used.
cuda_device: ``int``, optional (default = -1)
If `cuda_device` is >= 0, the model will be loaded onto the
corresponding GPU. Otherwise it will be loaded onto the CPU.
overrides: ``str``, optional (default = "")
JSON overrides to apply to the unarchived ``Params`` object.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/archival.py#L150-L232
|
train
|
Loads an archive file into a new object.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2260 - 2212) + chr(0b1100000 + 0o17) + '\x31' + chr(2190 - 2142) + '\062', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101101 + 0o2) + chr(49) + chr(728 - 678) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9(chr(48) + chr(11521 - 11410) + chr(0b110100) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(0b110000 + 0o3) + chr(2596 - 2542) + chr(836 - 781), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1023 - 974) + '\x36' + chr(0b101000 + 0o11), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4817 - 4706) + chr(51) + chr(54) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11000 + 0o33) + chr(0b101101 + 0o5) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(0b110110) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(548 - 494), 36878 - 36870), ehT0Px3KOsy9(chr(1170 - 1122) + '\x6f' + '\066' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(2225 - 2177) + chr(111) + chr(1977 - 1926) + chr(2712 - 2658) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(1906 - 1795) + '\065', 55541 - 55533), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(5146 - 5035) + chr(2138 - 2088) + chr(0b110000 + 0o1) + chr(49), 16564 - 16556), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\064' + chr(1124 - 1071), ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1010110 + 0o31) + '\x32' + '\x37' + chr(0b110001), 44139 - 44131), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(50) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\061' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\x6f' + chr(0b110001) + '\064', 18311 - 18303), ehT0Px3KOsy9(chr(182 - 134) + chr(111) + '\x33' + chr(48) + '\062', 36510 - 36502), ehT0Px3KOsy9(chr(2226 - 2178) + chr(111) + chr(2091 - 2042) + chr(1107 - 1057) + '\x32', 18558 - 18550), ehT0Px3KOsy9(chr(1092 - 1044) + chr(111) + chr(1104 - 1056), 11898 - 11890), ehT0Px3KOsy9(chr(793 - 745) + chr(111) + chr(0b110011) + chr(0b100 + 0o63) + chr(0b110010 + 0o4), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + chr(54) + '\064', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x33' + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(1108 - 1058) + chr(0b1000 + 0o57) + chr(1089 - 1040), 8), ehT0Px3KOsy9(chr(158 - 110) + '\x6f' + '\062' + chr(51) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(214 - 161) + chr(717 - 668), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b100000 + 0o23) + '\x36', 20626 - 20618), ehT0Px3KOsy9(chr(1851 - 1803) + chr(111) + chr(0b110001) + '\062' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x32' + '\066' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(496 - 448) + '\157' + '\x33', 0b1000), ehT0Px3KOsy9(chr(263 - 215) + chr(111) + '\063' + chr(1862 - 1813) + chr(0b11 + 0o60), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(1533 - 1483) + chr(517 - 468) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(2193 - 2143) + chr(1928 - 1873), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\061', 0b1000), ehT0Px3KOsy9(chr(426 - 378) + chr(0b11110 + 0o121) + chr(1198 - 1147) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b110100) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + '\x34' + chr(415 - 361), 3249 - 3241), ehT0Px3KOsy9(chr(0b110000) + chr(6663 - 6552) + chr(956 - 906) + chr(0b110111) + chr(0b1010 + 0o54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1461 - 1413) + '\157' + chr(53) + chr(1275 - 1227), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'l'), '\144' + chr(6687 - 6586) + chr(3815 - 3716) + chr(11419 - 11308) + chr(100) + chr(0b1100101))(chr(2509 - 2392) + '\164' + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uRNmZTECVLCU(dyP4gOEkYnfH, jRcTRdiVAZAp=-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), ord("\x08")), de6iQhrbBQ5Y=xafqLlk3kkUe(SXOLrMavuUCe(b''), '\144' + chr(101) + '\x63' + chr(0b11101 + 0o122) + chr(7085 - 6985) + chr(0b1100101))('\x75' + '\164' + chr(0b1100110 + 0o0) + '\x2d' + chr(0b111 + 0o61)), lB0dvsL5cSLR=None) -> YynU_cZ_y2tc:
Lvd0L841udCU = MygwJnRV_fCw(dyP4gOEkYnfH)
if Lvd0L841udCU == dyP4gOEkYnfH:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11dn\x8f\x04\x97\xb2\x04D[\xaan'), chr(740 - 640) + chr(101) + chr(0b1100011) + chr(0b11101 + 0o122) + '\x64' + chr(0b11101 + 0o110))(chr(0b1110101) + '\x74' + chr(9445 - 9343) + chr(0b100010 + 0o13) + chr(0b111000)))(f'loading archive file {dyP4gOEkYnfH}')
else:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11dn\x8f\x04\x97\xb2\x04D[\xaan'), chr(0b1000100 + 0o40) + chr(101) + '\143' + chr(111) + '\144' + '\x65')(chr(3070 - 2953) + chr(0b1110100) + '\146' + chr(1198 - 1153) + chr(0b111000)))(f'loading archive file {dyP4gOEkYnfH} from cache at {Lvd0L841udCU}')
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'+ B\x9e\x03'), chr(100) + '\145' + chr(99) + chr(111) + '\x64' + '\145')('\165' + '\164' + '\x66' + chr(0b110 + 0o47) + chr(2902 - 2846)))(Lvd0L841udCU):
_NgEteHO5j9h = Lvd0L841udCU
else:
OM2D9GIEjBay = IvD8hQuFpT7c.mkdtemp()
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x11dn\x8f\x04\x97\xb2\x04D[\xaan'), chr(100) + chr(101) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(101))(chr(0b10011 + 0o142) + '\164' + chr(0b1000 + 0o136) + chr(0b11100 + 0o21) + chr(1816 - 1760)))(f'extracting archive file {Lvd0L841udCU} to temp dir {OM2D9GIEjBay}')
with xafqLlk3kkUe(RxqDt8LqC5Ns, xafqLlk3kkUe(SXOLrMavuUCe(b'-#C\x99'), '\144' + chr(6911 - 6810) + '\143' + chr(10247 - 10136) + chr(5104 - 5004) + chr(0b1100101))('\165' + chr(116) + chr(0b1100110) + chr(1973 - 1928) + '\x38'))(Lvd0L841udCU, xafqLlk3kkUe(SXOLrMavuUCe(b'0iA\x8d'), chr(0b1100100) + chr(0b1100101) + chr(0b101 + 0o136) + chr(0b1101111) + chr(672 - 572) + chr(0b1100101))(chr(117) + chr(10146 - 10030) + chr(5700 - 5598) + '\055' + '\x38')) as PlsPgRbNZBi4:
xafqLlk3kkUe(PlsPgRbNZBi4, xafqLlk3kkUe(SXOLrMavuUCe(b"'+R\x85\x10\x97\xa1RB["), '\x64' + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))(chr(117) + chr(116) + chr(0b1010000 + 0o26) + chr(45) + chr(0b111000)))(OM2D9GIEjBay)
xafqLlk3kkUe(nsfxZqya0kR1, xafqLlk3kkUe(SXOLrMavuUCe(b'06A\x9e\x02\x80\xb0A'), chr(6791 - 6691) + chr(0b1100101) + chr(3131 - 3032) + chr(0b1011111 + 0o20) + chr(100) + chr(101))(chr(3572 - 3455) + chr(0b1110100) + chr(6683 - 6581) + chr(1239 - 1194) + chr(2409 - 2353)))(PDIyi4yhZp83, OM2D9GIEjBay)
_NgEteHO5j9h = OM2D9GIEjBay
bRPt7rUs68CV = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, b2642X2KirPD)
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b"'+O\x84\x05\x87"), chr(0b1010101 + 0o17) + chr(101) + chr(99) + chr(8193 - 8082) + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + chr(0b11100 + 0o112) + chr(45) + chr(0b111000)))(bRPt7rUs68CV):
with _fwkIVCGgtAN(bRPt7rUs68CV, xafqLlk3kkUe(SXOLrMavuUCe(b'0'), chr(5307 - 5207) + '\145' + chr(1846 - 1747) + chr(111) + chr(100) + '\145')('\165' + chr(0b101001 + 0o113) + chr(0b1100110) + chr(1006 - 961) + '\070')) as Eiy16Fz1Chlt:
pc43UazYMoMT = fXk443epxtd5.loads(Eiy16Fz1Chlt.U6MiWrhuCi2Y())
aOJJ6pTwT8RS = {}
for (K3J4ZwSlE0sT, yRgp106982KU) in xafqLlk3kkUe(pc43UazYMoMT, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c)P\x928\xae\xe6zBd\xb8<'), chr(7433 - 7333) + chr(101) + '\143' + chr(7767 - 7656) + chr(100) + chr(0b1100101))(chr(8204 - 8087) + chr(0b1110100) + chr(0b1000100 + 0o42) + chr(0b100001 + 0o14) + chr(0b111000)))():
akHWRuV9ukcm = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, f'fta/{K3J4ZwSlE0sT}')
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b"'+O\x84\x05\x87"), chr(100) + chr(9540 - 9439) + '\143' + chr(0b1101111) + '\x64' + chr(7892 - 7791))('\165' + chr(0b101000 + 0o114) + chr(102) + '\055' + '\070'))(akHWRuV9ukcm):
aOJJ6pTwT8RS[K3J4ZwSlE0sT] = akHWRuV9ukcm
else:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'52T\x99\x18\x9a\xb2'), chr(100) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(0b1001101 + 0o30))(chr(117) + chr(0b1110100) + chr(0b1001 + 0o135) + chr(1138 - 1093) + '\x38'))(f'Archived file {akHWRuV9ukcm} not found! At train time this file was located at {yRgp106982KU}. This may be because you are loading a serialization directory. Attempting to load the file from its train-time location.')
IOSEfa_G3kxT = fAHnq8ef5vPR(de6iQhrbBQ5Y)
G2IIOUlnGKY5 = RMpbQE9sq6dx(preferred=IOSEfa_G3kxT, fallback=L6gu19DVXlJ4(aOJJ6pTwT8RS))
de6iQhrbBQ5Y = fXk443epxtd5.dumps(G2IIOUlnGKY5)
jAj7S20Ct06o = pboYvIgFA4qm.from_file(oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, aalLhedSsWYM), de6iQhrbBQ5Y)
jAj7S20Ct06o.EmNUiGj7ijgZ = ehT0Px3KOsy9(chr(0b110000) + chr(5361 - 5250) + '\061', 8)
if lB0dvsL5cSLR:
c7iAmD_UPVWI = lB0dvsL5cSLR
else:
c7iAmD_UPVWI = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, t1BBlehw5NCm)
if not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b"'+O\x84\x05\x87"), chr(100) + chr(0b1100101) + chr(99) + chr(11825 - 11714) + chr(0b1011110 + 0o6) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + '\x2d' + '\070'))(c7iAmD_UPVWI):
c7iAmD_UPVWI = oqhJDdMJfuwx.path._oWXztVNnqHF(_NgEteHO5j9h, sp8w6lUArCJR)
FK0vqzZ5gPN6 = JC8lDcRGu6X6.mxtdQMeiwJZJ(jAj7S20Ct06o.duplicate(), weights_file=c7iAmD_UPVWI, serialization_dir=_NgEteHO5j9h, cuda_device=jRcTRdiVAZAp)
return YynU_cZ_y2tc(model=FK0vqzZ5gPN6, config=jAj7S20Ct06o)
|
allenai/allennlp
|
allennlp/models/archival.py
|
Archive.extract_module
|
def extract_module(self, path: str, freeze: bool = True) -> Module:
"""
This method can be used to load a module from the pretrained model archive.
It is also used implicitly in FromParams based construction. So instead of using standard
params to construct a module, you can instead load a pretrained module from the model
archive directly. For eg, instead of using params like {"type": "module_type", ...}, you
can use the following template::
{
"_pretrained": {
"archive_file": "../path/to/model.tar.gz",
"path": "path.to.module.in.model",
"freeze": False
}
}
If you use this feature with FromParams, take care of the following caveat: Call to
initializer(self) at end of model initializer can potentially wipe the transferred parameters
by reinitializing them. This can happen if you have setup initializer regex that also
matches parameters of the transferred module. To safe-guard against this, you can either
update your initializer regex to prevent conflicting match or add extra initializer::
[
[".*transferred_module_name.*", "prevent"]]
]
Parameters
----------
path : ``str``, required
Path of target module to be loaded from the model.
Eg. "_textfield_embedder.token_embedder_tokens"
freeze : ``bool``, optional (default=True)
Whether to freeze the module parameters or not.
"""
modules_dict = {path: module for path, module in self.model.named_modules()}
module = modules_dict.get(path, None)
if not module:
raise ConfigurationError(f"You asked to transfer module at path {path} from "
f"the model {type(self.model)}. But it's not present.")
if not isinstance(module, Module):
raise ConfigurationError(f"The transferred object from model {type(self.model)} at path "
f"{path} is not a PyTorch Module.")
for parameter in module.parameters(): # type: ignore
parameter.requires_grad_(not freeze)
return module
|
python
|
def extract_module(self, path: str, freeze: bool = True) -> Module:
"""
This method can be used to load a module from the pretrained model archive.
It is also used implicitly in FromParams based construction. So instead of using standard
params to construct a module, you can instead load a pretrained module from the model
archive directly. For eg, instead of using params like {"type": "module_type", ...}, you
can use the following template::
{
"_pretrained": {
"archive_file": "../path/to/model.tar.gz",
"path": "path.to.module.in.model",
"freeze": False
}
}
If you use this feature with FromParams, take care of the following caveat: Call to
initializer(self) at end of model initializer can potentially wipe the transferred parameters
by reinitializing them. This can happen if you have setup initializer regex that also
matches parameters of the transferred module. To safe-guard against this, you can either
update your initializer regex to prevent conflicting match or add extra initializer::
[
[".*transferred_module_name.*", "prevent"]]
]
Parameters
----------
path : ``str``, required
Path of target module to be loaded from the model.
Eg. "_textfield_embedder.token_embedder_tokens"
freeze : ``bool``, optional (default=True)
Whether to freeze the module parameters or not.
"""
modules_dict = {path: module for path, module in self.model.named_modules()}
module = modules_dict.get(path, None)
if not module:
raise ConfigurationError(f"You asked to transfer module at path {path} from "
f"the model {type(self.model)}. But it's not present.")
if not isinstance(module, Module):
raise ConfigurationError(f"The transferred object from model {type(self.model)} at path "
f"{path} is not a PyTorch Module.")
for parameter in module.parameters(): # type: ignore
parameter.requires_grad_(not freeze)
return module
|
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] |
This method can be used to load a module from the pretrained model archive.
It is also used implicitly in FromParams based construction. So instead of using standard
params to construct a module, you can instead load a pretrained module from the model
archive directly. For eg, instead of using params like {"type": "module_type", ...}, you
can use the following template::
{
"_pretrained": {
"archive_file": "../path/to/model.tar.gz",
"path": "path.to.module.in.model",
"freeze": False
}
}
If you use this feature with FromParams, take care of the following caveat: Call to
initializer(self) at end of model initializer can potentially wipe the transferred parameters
by reinitializing them. This can happen if you have setup initializer regex that also
matches parameters of the transferred module. To safe-guard against this, you can either
update your initializer regex to prevent conflicting match or add extra initializer::
[
[".*transferred_module_name.*", "prevent"]]
]
Parameters
----------
path : ``str``, required
Path of target module to be loaded from the model.
Eg. "_textfield_embedder.token_embedder_tokens"
freeze : ``bool``, optional (default=True)
Whether to freeze the module parameters or not.
|
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/archival.py#L28-L76
|
train
|
This method extracts a module from the pretrained model archive.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(1367 - 1312) + chr(432 - 379), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\061' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(55) + chr(1509 - 1461), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10947 - 10836) + chr(715 - 664) + chr(2004 - 1951) + chr(0b110100 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + '\067' + '\065', 0b1000), ehT0Px3KOsy9(chr(706 - 658) + chr(0b1010000 + 0o37) + '\062' + chr(918 - 867) + chr(0b1100 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(829 - 780) + chr(1719 - 1666) + chr(0b11011 + 0o25), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(7766 - 7655) + '\063' + '\066' + chr(0b10000 + 0o40), 0b1000), ehT0Px3KOsy9(chr(2292 - 2244) + chr(4433 - 4322) + chr(690 - 640) + chr(163 - 114) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(49) + '\067' + '\x34', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101110 + 0o6) + chr(0b110 + 0o53), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(312 - 261) + '\x30' + chr(1896 - 1842), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b0 + 0o62), ord("\x08")), ehT0Px3KOsy9(chr(1424 - 1376) + '\157' + '\x32' + chr(0b110000 + 0o5) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + '\x37' + chr(0b10101 + 0o40), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b1101 + 0o51) + chr(1984 - 1930), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + '\x31' + chr(0b11110 + 0o24) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(55) + chr(0b101101 + 0o4), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000000 + 0o57) + chr(0b10100 + 0o35) + '\x32' + '\x33', 0b1000), ehT0Px3KOsy9(chr(439 - 391) + chr(5569 - 5458) + chr(0b1010 + 0o51) + chr(589 - 541) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(0b110011) + chr(55) + chr(48), 8), ehT0Px3KOsy9(chr(1110 - 1062) + chr(111) + '\062' + chr(0b10011 + 0o40) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(4180 - 4069) + '\062' + chr(1448 - 1394) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + chr(0b110001) + chr(55) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2600 - 2489) + '\062' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(6820 - 6709) + '\x31' + chr(203 - 152) + chr(0b101110 + 0o3), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3689 - 3578) + chr(51) + chr(0b110101) + chr(1106 - 1057), 0b1000), ehT0Px3KOsy9(chr(0b100100 + 0o14) + '\157' + chr(1650 - 1600) + chr(408 - 359) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\x30' + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\x33' + chr(2891 - 2836), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\062', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + chr(946 - 896), 60127 - 60119), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b101 + 0o54) + chr(620 - 571) + '\064', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\061' + chr(0b110110), 63029 - 63021), ehT0Px3KOsy9(chr(282 - 234) + chr(0b10010 + 0o135) + chr(0b100011 + 0o17) + chr(0b111 + 0o60) + '\065', 8), ehT0Px3KOsy9(chr(2053 - 2005) + '\x6f' + chr(0b111 + 0o52) + chr(0b101011 + 0o7), 8), ehT0Px3KOsy9(chr(1317 - 1269) + chr(0b1101011 + 0o4) + chr(967 - 916) + '\065' + '\x31', 8), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(2311 - 2261) + chr(1789 - 1740) + chr(1443 - 1388), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(0b101111 + 0o3) + chr(54), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065' + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x93'), '\144' + chr(101) + '\x63' + '\x6f' + '\x64' + chr(101))(chr(6116 - 5999) + '\164' + chr(0b1100110) + chr(45) + chr(0b1110 + 0o52)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def p7oIVXK5EnBq(oVre8I6UXc3b, EaCjyhZptSer, hl0HeTmly1Ng=ehT0Px3KOsy9('\x30' + chr(10582 - 10471) + chr(158 - 109), ord("\x08"))) -> xUAoUBrV8Bpt:
Xrc1kEGmFcFl = {EaCjyhZptSer: RqocVGOryNPv for (EaCjyhZptSer, RqocVGOryNPv) in oVre8I6UXc3b.model.named_modules()}
RqocVGOryNPv = Xrc1kEGmFcFl.get(EaCjyhZptSer, None)
if not RqocVGOryNPv:
raise h0iXqtiKVeKg(f"You asked to transfer module at path {EaCjyhZptSer} from the model {wmQmyeWBmUpv(xafqLlk3kkUe(oVre8I6UXc3b, chr(0b100110 + 0o40) + chr(0b11100 + 0o57) + chr(0b110000) + chr(0b1110110) + chr(0b1110001) + chr(0b1111010) + chr(0b10100 + 0o106) + chr(0b11000 + 0o35) + chr(0b1100111) + chr(2156 - 2076) + chr(0b1001110) + chr(0b1111 + 0o47)))}. But it's not present.")
if not PlSM16l2KDPD(RqocVGOryNPv, xUAoUBrV8Bpt):
raise h0iXqtiKVeKg(f"The transferred object from model {wmQmyeWBmUpv(xafqLlk3kkUe(oVre8I6UXc3b, chr(70) + chr(75) + chr(48) + chr(1015 - 897) + chr(1746 - 1633) + chr(0b1010111 + 0o43) + chr(1720 - 1630) + chr(0b110101) + chr(0b1100011 + 0o4) + chr(719 - 639) + chr(0b1011 + 0o103) + chr(54)))} at path {EaCjyhZptSer} is not a PyTorch Module.")
for Sur8CJUVRGCp in xafqLlk3kkUe(RqocVGOryNPv, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcd-\x8a\x8f\x90\xfd\x1c\x95\xfa\x0f'), chr(2690 - 2590) + chr(101) + chr(0b100001 + 0o102) + chr(111) + '\x64' + chr(0b1100 + 0o131))(chr(1992 - 1875) + '\164' + chr(1609 - 1507) + '\055' + chr(3090 - 3034)))():
xafqLlk3kkUe(Sur8CJUVRGCp, xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf)\x89\x9b\x94\xea\r\x83\xd7\x1bS\xa7f\xf1'), '\144' + '\x65' + '\x63' + '\x6f' + chr(100) + chr(0b11 + 0o142))(chr(0b1110101) + chr(0b1110100) + chr(0b1010101 + 0o21) + chr(45) + '\070'))(not hl0HeTmly1Ng)
return RqocVGOryNPv
|
allenai/allennlp
|
allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py
|
NlvrSemanticParser._get_action_strings
|
def _get_action_strings(cls,
possible_actions: List[List[ProductionRule]],
action_indices: Dict[int, List[List[int]]]) -> List[List[List[str]]]:
"""
Takes a list of possible actions and indices of decoded actions into those possible actions
for a batch and returns sequences of action strings. We assume ``action_indices`` is a dict
mapping batch indices to k-best decoded sequence lists.
"""
all_action_strings: List[List[List[str]]] = []
batch_size = len(possible_actions)
for i in range(batch_size):
batch_actions = possible_actions[i]
batch_best_sequences = action_indices[i] if i in action_indices else []
# This will append an empty list to ``all_action_strings`` if ``batch_best_sequences``
# is empty.
action_strings = [[batch_actions[rule_id][0] for rule_id in sequence]
for sequence in batch_best_sequences]
all_action_strings.append(action_strings)
return all_action_strings
|
python
|
def _get_action_strings(cls,
possible_actions: List[List[ProductionRule]],
action_indices: Dict[int, List[List[int]]]) -> List[List[List[str]]]:
"""
Takes a list of possible actions and indices of decoded actions into those possible actions
for a batch and returns sequences of action strings. We assume ``action_indices`` is a dict
mapping batch indices to k-best decoded sequence lists.
"""
all_action_strings: List[List[List[str]]] = []
batch_size = len(possible_actions)
for i in range(batch_size):
batch_actions = possible_actions[i]
batch_best_sequences = action_indices[i] if i in action_indices else []
# This will append an empty list to ``all_action_strings`` if ``batch_best_sequences``
# is empty.
action_strings = [[batch_actions[rule_id][0] for rule_id in sequence]
for sequence in batch_best_sequences]
all_action_strings.append(action_strings)
return all_action_strings
|
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"all_action_strings"
] |
Takes a list of possible actions and indices of decoded actions into those possible actions
for a batch and returns sequences of action strings. We assume ``action_indices`` is a dict
mapping batch indices to k-best decoded sequence lists.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py#L122-L140
|
train
|
Takes a list of possible actions and indices of decoded actions into those possible actions
and returns a list of all possible action strings.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1010001 + 0o36) + chr(0b110001 + 0o0) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(1745 - 1695) + chr(2753 - 2700) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1090 - 1042) + '\x6f' + chr(423 - 372) + chr(0b100110 + 0o21) + chr(0b110010), 55338 - 55330), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + '\060' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(663 - 552) + chr(0b11110 + 0o24) + '\067' + chr(52), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(51) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100101 + 0o15) + '\x35' + '\065', 8), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + '\x32' + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10822 - 10711) + chr(51) + chr(53) + chr(50), 57380 - 57372), ehT0Px3KOsy9('\x30' + '\x6f' + chr(581 - 531) + chr(0b11110 + 0o25), 0b1000), ehT0Px3KOsy9(chr(1671 - 1623) + '\x6f' + chr(0b10 + 0o57) + '\x33' + chr(1233 - 1185), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(338 - 290) + chr(0b100010 + 0o21), 0b1000), ehT0Px3KOsy9(chr(2048 - 2000) + chr(0b1101111) + chr(49) + chr(0b110000) + chr(1017 - 966), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + chr(2322 - 2272) + chr(1518 - 1466) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b1101111) + chr(1292 - 1243) + '\061' + '\x30', 0b1000), ehT0Px3KOsy9('\060' + chr(2984 - 2873) + chr(49) + chr(55) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2948 - 2837) + '\x33' + '\065' + chr(0b100111 + 0o17), 53697 - 53689), ehT0Px3KOsy9(chr(1835 - 1787) + chr(5884 - 5773) + chr(0b110010) + chr(1528 - 1479) + '\066', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(373 - 322) + chr(885 - 830) + chr(0b110010 + 0o4), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(204 - 156) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\x6f' + '\x32' + chr(54) + '\x34', 46042 - 46034), ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(1786 - 1737), ord("\x08")), ehT0Px3KOsy9(chr(1215 - 1167) + chr(0b1101001 + 0o6) + chr(79 - 28) + chr(0b110010) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(1023 - 975) + '\x6f' + '\062' + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\067' + '\x35', 0o10), ehT0Px3KOsy9(chr(1031 - 983) + '\157' + chr(0b110011) + chr(0b110111) + '\066', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b101000 + 0o15) + '\065', 11314 - 11306), ehT0Px3KOsy9('\060' + chr(7790 - 7679) + '\x32' + chr(0b100100 + 0o15) + chr(780 - 726), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(1392 - 1340) + '\x35', 0b1000), ehT0Px3KOsy9(chr(1789 - 1741) + chr(0b100 + 0o153) + chr(0b1011 + 0o52) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b10111 + 0o33) + chr(0b110011 + 0o2) + '\063', 27680 - 27672), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(0b101101 + 0o4) + chr(48) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(54) + '\061', 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(7764 - 7653) + chr(1462 - 1413) + chr(0b110100) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(693 - 645) + chr(111) + chr(0b110011) + '\x36' + chr(0b11 + 0o60), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x37' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(111) + chr(0b10110 + 0o33) + chr(0b110000) + chr(2561 - 2507), 8), ehT0Px3KOsy9(chr(48) + chr(6070 - 5959) + '\063' + chr(0b11110 + 0o25) + chr(0b10011 + 0o36), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\x31' + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\062', 43486 - 43478)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(833 - 785) + '\157' + '\065' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b' '), '\x64' + chr(0b1110 + 0o127) + chr(0b1100011) + '\x6f' + chr(0b100101 + 0o77) + chr(101))(chr(6851 - 6734) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b110101 + 0o3)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def E_GA2PUZfX8w(NSstowUUZlxS, Y2JC8aVVeQ6a, qEb1_KEiN1Ud) -> qRxF7OQ0y39T[qRxF7OQ0y39T[qRxF7OQ0y39T[M8_cKLkHVB2V]]]:
f7KvcCm6pz1N = []
ix9dZyeAmUxY = c2A0yzQpDQB3(Y2JC8aVVeQ6a)
for WVxHKyX45z_L in vQr8gNKaIaWE(ix9dZyeAmUxY):
zdSvh8kcqoNn = Y2JC8aVVeQ6a[WVxHKyX45z_L]
NbGd0p_DR1L6 = qEb1_KEiN1Ud[WVxHKyX45z_L] if WVxHKyX45z_L in qEb1_KEiN1Ud else []
Q1LBVwjVLFmu = [[zdSvh8kcqoNn[HDMvQjAkWinl][ehT0Px3KOsy9('\x30' + chr(111) + chr(48), 40413 - 40405)] for HDMvQjAkWinl in blgtMYjOOQgD] for blgtMYjOOQgD in NbGd0p_DR1L6]
xafqLlk3kkUe(f7KvcCm6pz1N, xafqLlk3kkUe(SXOLrMavuUCe(b'o\xdd\x8a"\xd28'), '\144' + chr(0b1100101) + chr(99) + chr(0b101000 + 0o107) + '\x64' + chr(1459 - 1358))('\165' + chr(116) + chr(8163 - 8061) + '\x2d' + chr(0b111000)))(Q1LBVwjVLFmu)
return f7KvcCm6pz1N
|
allenai/allennlp
|
allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py
|
NlvrSemanticParser.decode
|
def decode(self, output_dict: Dict[str, torch.Tensor]) -> Dict[str, torch.Tensor]:
"""
This method overrides ``Model.decode``, which gets called after ``Model.forward``, at test
time, to finalize predictions. We only transform the action string sequences into logical
forms here.
"""
best_action_strings = output_dict["best_action_strings"]
# Instantiating an empty world for getting logical forms.
world = NlvrLanguage(set())
logical_forms = []
for instance_action_sequences in best_action_strings:
instance_logical_forms = []
for action_strings in instance_action_sequences:
if action_strings:
instance_logical_forms.append(world.action_sequence_to_logical_form(action_strings))
else:
instance_logical_forms.append('')
logical_forms.append(instance_logical_forms)
action_mapping = output_dict['action_mapping']
best_actions = output_dict['best_action_strings']
debug_infos = output_dict['debug_info']
batch_action_info = []
for batch_index, (predicted_actions, debug_info) in enumerate(zip(best_actions, debug_infos)):
instance_action_info = []
for predicted_action, action_debug_info in zip(predicted_actions[0], debug_info):
action_info = {}
action_info['predicted_action'] = predicted_action
considered_actions = action_debug_info['considered_actions']
probabilities = action_debug_info['probabilities']
actions = []
for action, probability in zip(considered_actions, probabilities):
if action != -1:
actions.append((action_mapping[(batch_index, action)], probability))
actions.sort()
considered_actions, probabilities = zip(*actions)
action_info['considered_actions'] = considered_actions
action_info['action_probabilities'] = probabilities
action_info['question_attention'] = action_debug_info.get('question_attention', [])
instance_action_info.append(action_info)
batch_action_info.append(instance_action_info)
output_dict["predicted_actions"] = batch_action_info
output_dict["logical_form"] = logical_forms
return output_dict
|
python
|
def decode(self, output_dict: Dict[str, torch.Tensor]) -> Dict[str, torch.Tensor]:
"""
This method overrides ``Model.decode``, which gets called after ``Model.forward``, at test
time, to finalize predictions. We only transform the action string sequences into logical
forms here.
"""
best_action_strings = output_dict["best_action_strings"]
# Instantiating an empty world for getting logical forms.
world = NlvrLanguage(set())
logical_forms = []
for instance_action_sequences in best_action_strings:
instance_logical_forms = []
for action_strings in instance_action_sequences:
if action_strings:
instance_logical_forms.append(world.action_sequence_to_logical_form(action_strings))
else:
instance_logical_forms.append('')
logical_forms.append(instance_logical_forms)
action_mapping = output_dict['action_mapping']
best_actions = output_dict['best_action_strings']
debug_infos = output_dict['debug_info']
batch_action_info = []
for batch_index, (predicted_actions, debug_info) in enumerate(zip(best_actions, debug_infos)):
instance_action_info = []
for predicted_action, action_debug_info in zip(predicted_actions[0], debug_info):
action_info = {}
action_info['predicted_action'] = predicted_action
considered_actions = action_debug_info['considered_actions']
probabilities = action_debug_info['probabilities']
actions = []
for action, probability in zip(considered_actions, probabilities):
if action != -1:
actions.append((action_mapping[(batch_index, action)], probability))
actions.sort()
considered_actions, probabilities = zip(*actions)
action_info['considered_actions'] = considered_actions
action_info['action_probabilities'] = probabilities
action_info['question_attention'] = action_debug_info.get('question_attention', [])
instance_action_info.append(action_info)
batch_action_info.append(instance_action_info)
output_dict["predicted_actions"] = batch_action_info
output_dict["logical_form"] = logical_forms
return output_dict
|
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This method overrides ``Model.decode``, which gets called after ``Model.forward``, at test
time, to finalize predictions. We only transform the action string sequences into logical
forms here.
|
[
"This",
"method",
"overrides",
"Model",
".",
"decode",
"which",
"gets",
"called",
"after",
"Model",
".",
"forward",
"at",
"test",
"time",
"to",
"finalize",
"predictions",
".",
"We",
"only",
"transform",
"the",
"action",
"string",
"sequences",
"into",
"logical",
"forms",
"here",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py#L201-L244
|
train
|
This method decodes the output dictionary into a list of logical forms.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + '\061' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x32' + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b11 + 0o60) + chr(52), 26322 - 26314), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(0b101011 + 0o10) + chr(0b101100 + 0o6) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(0b10111 + 0o34) + chr(0b101110 + 0o4), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\064' + chr(1481 - 1433), 18680 - 18672), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10110 + 0o33) + chr(1503 - 1452) + chr(0b0 + 0o64), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(231 - 181) + chr(1729 - 1680) + '\x32', 0b1000), ehT0Px3KOsy9(chr(267 - 219) + chr(0b1101111) + '\062' + chr(55) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + '\065' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1101111) + '\x33' + chr(1619 - 1566), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + '\063' + chr(2231 - 2180) + chr(258 - 210), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b1111 + 0o45) + chr(0b110111), 15202 - 15194), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(111) + chr(657 - 606) + chr(0b100111 + 0o12) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(0b11101 + 0o122) + '\063' + '\066' + chr(0b110010), 17466 - 17458), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + chr(0b110010) + '\x31' + chr(839 - 791), 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x31' + '\061' + chr(2579 - 2525), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + '\x33' + '\062' + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1 + 0o60) + chr(2493 - 2443) + chr(0b110001), 27285 - 27277), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11000 + 0o37) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b110010) + chr(52), 0o10), ehT0Px3KOsy9(chr(2108 - 2060) + chr(0b1101111) + '\x33' + chr(0b11111 + 0o21) + chr(51), 0b1000), ehT0Px3KOsy9(chr(2000 - 1952) + chr(111) + '\x31' + chr(0b10000 + 0o47) + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\064', 0b1000), ehT0Px3KOsy9(chr(822 - 774) + '\157' + chr(1453 - 1404) + chr(0b110001) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(1776 - 1723) + chr(2478 - 2424), 48082 - 48074), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1093 - 1043) + chr(847 - 795) + '\x35', 58006 - 57998), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(49) + chr(246 - 198), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b110101 + 0o2) + chr(144 - 94), 48615 - 48607), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + '\067' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b11100 + 0o25) + chr(1279 - 1227), 8), ehT0Px3KOsy9(chr(48) + chr(7850 - 7739) + '\x32' + chr(0b101101 + 0o5) + chr(1869 - 1817), 0o10), ehT0Px3KOsy9(chr(1854 - 1806) + chr(111) + '\x33' + chr(2528 - 2476) + chr(0b101100 + 0o10), 35960 - 35952), ehT0Px3KOsy9(chr(1589 - 1541) + '\x6f' + '\x35' + chr(0b101000 + 0o15), 0b1000), ehT0Px3KOsy9(chr(300 - 252) + chr(0b1101111) + chr(0b11110 + 0o27) + chr(2760 - 2705), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(6850 - 6739) + chr(0b110001) + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1001011 + 0o44) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10589 - 10478) + '\x33' + chr(0b110111) + chr(0b1010 + 0o53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(2153 - 2099) + '\060', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + chr(0b101010 + 0o13) + chr(0b101 + 0o53), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(4285 - 4185) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(162 - 60) + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RSziqSuj39r9(oVre8I6UXc3b, lLl7Ukcn67KO) -> zBnV56fc6HrA[M8_cKLkHVB2V, xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'[\xb7\xb2\xa6\xb5R'), chr(100) + chr(4757 - 4656) + chr(0b1000101 + 0o36) + chr(12116 - 12005) + '\x64' + chr(0b1100101))(chr(117) + '\x74' + chr(2412 - 2310) + chr(0b11110 + 0o17) + chr(0b111000)))]:
LAoYABD_ow8n = lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'm\xb7\xaf\xa1\x85A?\xfe\xd7\xc3s\x87\xd4\xba\x80\xe1 \xb1"'), chr(961 - 861) + '\145' + chr(0b1001001 + 0o32) + chr(2631 - 2520) + '\144' + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b11010 + 0o23) + chr(0b100111 + 0o21))]
pxv6w2yhAgdj = oXfS8TD0v6gG(MVEN8G6CxlvR())
ghrilDEBtsWX = []
for nYCtaX6iBwsH in LAoYABD_ow8n:
AwW2XdGj164a = []
for Q1LBVwjVLFmu in nYCtaX6iBwsH:
if Q1LBVwjVLFmu:
xafqLlk3kkUe(AwW2XdGj164a, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), '\x64' + chr(0b1010 + 0o133) + '\x63' + chr(4615 - 4504) + '\x64' + '\145')(chr(117) + '\164' + '\146' + chr(0b1 + 0o54) + '\070'))(xafqLlk3kkUe(pxv6w2yhAgdj, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xb1\xa8\xbc\xb5N\x03\xf9\xdb\xddh\xbd\xc9\xad\x97\xd7:\xb9\x0eT\xbb\xa4\x12^e \xb1\xc3\xe7\x88\x13'), '\x64' + chr(5467 - 5366) + chr(434 - 335) + '\x6f' + '\144' + '\145')('\165' + chr(116) + chr(0b10000 + 0o126) + '\055' + '\x38'))(Q1LBVwjVLFmu))
else:
xafqLlk3kkUe(AwW2XdGj164a, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), '\144' + chr(101) + chr(0b1100011) + chr(0b1101111) + chr(5227 - 5127) + chr(101))('\x75' + '\x74' + '\x66' + chr(0b101100 + 0o1) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b''), '\x64' + '\145' + chr(0b11101 + 0o106) + chr(0b1101111) + chr(0b1100100) + chr(5968 - 5867))(chr(10555 - 10438) + chr(0b1110100) + chr(0b110001 + 0o65) + chr(169 - 124) + chr(0b11110 + 0o32)))
xafqLlk3kkUe(ghrilDEBtsWX, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), chr(100) + chr(0b1100101) + chr(0b11000 + 0o113) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1011101 + 0o11) + chr(45) + chr(481 - 425)))(AwW2XdGj164a)
mIDkMo7T3yII = lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'n\xb1\xa8\xbc\xb5N\x03\xe7\xdf\xdcm\xb1\xc9\xa9'), chr(8343 - 8243) + chr(0b1100101) + chr(4262 - 4163) + '\157' + '\144' + chr(101))('\165' + chr(6552 - 6436) + chr(0b1001011 + 0o33) + chr(0b101101) + chr(0b111000))]
pKAJkeIVVfjq = lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'm\xb7\xaf\xa1\x85A?\xfe\xd7\xc3s\x87\xd4\xba\x80\xe1 \xb1"'), chr(100) + chr(101) + chr(99) + chr(0b1010000 + 0o37) + chr(0b1100100) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + chr(1199 - 1154) + '\x38')]
F5wgcn9yhRc5 = lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'k\xb7\xbe\xa0\xbd\x7f5\xe4\xd8\xc3'), chr(0b1000011 + 0o41) + chr(0b1100101) + chr(99) + chr(6083 - 5972) + chr(0b1100011 + 0o1) + '\145')(chr(0b101100 + 0o111) + chr(116) + chr(3947 - 3845) + '\055' + chr(2026 - 1970))]
hZnGjBfbLsce = []
for (Q3TVZeZzkrZ0, (fAoXoIWrOcXP, aqjarmPZPQeS)) in YlkZvXL8qwsX(pZ0NK2y6HRbn(pKAJkeIVVfjq, F5wgcn9yhRc5)):
uu7ienyhfZVQ = []
for (QNofKOW9ItIK, butH3HwElqBD) in pZ0NK2y6HRbn(fAoXoIWrOcXP[ehT0Px3KOsy9(chr(48) + chr(3701 - 3590) + chr(48), 5942 - 5934)], aqjarmPZPQeS):
dMkDguqfdz38 = {}
dMkDguqfdz38[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa0\xb9\xb1\xb3C(\xef\xda\xf3|\xbb\xd3\xa7\x9d\xe6'), chr(0b1100100) + chr(101) + '\143' + '\x6f' + '\x64' + chr(218 - 117))(chr(117) + chr(116) + '\x66' + chr(0b110 + 0o47) + chr(0b110101 + 0o3))] = QNofKOW9ItIK
bGlylTOILCyp = butH3HwElqBD[xafqLlk3kkUe(SXOLrMavuUCe(b'l\xbd\xb2\xa6\xb3D9\xf8\xdb\xc8B\xb9\xc4\xba\x9b\xe7 \xa5'), chr(0b111 + 0o135) + chr(776 - 675) + '\143' + chr(0b100100 + 0o113) + '\144' + '\x65')(chr(0b100011 + 0o122) + chr(0b1110100) + chr(0b1100110) + chr(1862 - 1817) + chr(0b111000))]
TFFTAqMklnaA = butH3HwElqBD[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa0\xb3\xb7\xbbB5\xe6\xd7\xd8t\xbd\xd4'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\x6f' + '\144' + '\145')('\x75' + '\x74' + chr(3612 - 3510) + chr(45) + '\x38')]
WCl6VUkME_8I = []
for (vyskHDXig6uT, aYCdPHFLUbMp) in pZ0NK2y6HRbn(bGlylTOILCyp, TFFTAqMklnaA):
if vyskHDXig6uT != -ehT0Px3KOsy9('\x30' + chr(111) + chr(1691 - 1642), ord("\x08")):
xafqLlk3kkUe(WCl6VUkME_8I, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), chr(0b10101 + 0o117) + chr(0b100010 + 0o103) + chr(9665 - 9566) + '\x6f' + chr(5234 - 5134) + '\145')('\165' + '\164' + '\x66' + '\055' + chr(0b111000)))((mIDkMo7T3yII[Q3TVZeZzkrZ0, vyskHDXig6uT], aYCdPHFLUbMp))
xafqLlk3kkUe(WCl6VUkME_8I, xafqLlk3kkUe(SXOLrMavuUCe(b'|\xbd\xae\xa1'), chr(0b110001 + 0o63) + '\145' + chr(99) + chr(7893 - 7782) + chr(7438 - 7338) + chr(101))(chr(0b1110101) + chr(5508 - 5392) + chr(0b11101 + 0o111) + chr(45) + '\070'))()
(bGlylTOILCyp, TFFTAqMklnaA) = pZ0NK2y6HRbn(*WCl6VUkME_8I)
dMkDguqfdz38[xafqLlk3kkUe(SXOLrMavuUCe(b'l\xbd\xb2\xa6\xb3D9\xf8\xdb\xc8B\xb9\xc4\xba\x9b\xe7 \xa5'), chr(0b1000111 + 0o35) + '\x65' + chr(1547 - 1448) + '\x6f' + chr(100) + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + '\070')] = bGlylTOILCyp
dMkDguqfdz38[xafqLlk3kkUe(SXOLrMavuUCe(b'n\xb1\xa8\xbc\xb5N\x03\xfa\xcc\xc3\x7f\xb9\xc5\xa7\x9e\xe1:\xbf4K'), chr(2452 - 2352) + '\145' + '\x63' + chr(3270 - 3159) + '\144' + chr(0b1001 + 0o134))(chr(8764 - 8647) + '\x74' + chr(625 - 523) + chr(0b101101) + chr(828 - 772))] = TFFTAqMklnaA
dMkDguqfdz38[xafqLlk3kkUe(SXOLrMavuUCe(b'~\xa7\xb9\xa6\xaeI3\xe4\xe1\xcdi\xac\xc2\xa0\x86\xe1!\xb8'), chr(0b1100100) + chr(5332 - 5231) + chr(99) + '\157' + '\x64' + chr(0b1100101))(chr(0b1110101) + '\x74' + chr(0b10001 + 0o125) + chr(138 - 93) + chr(341 - 285))] = butH3HwElqBD.get(xafqLlk3kkUe(SXOLrMavuUCe(b'~\xa7\xb9\xa6\xaeI3\xe4\xe1\xcdi\xac\xc2\xa0\x86\xe1!\xb8'), '\144' + '\145' + '\143' + chr(0b1001100 + 0o43) + chr(0b1100100) + chr(0b1100101))(chr(0b1011010 + 0o33) + '\x74' + chr(0b1100110) + chr(0b10101 + 0o30) + '\x38'), [])
xafqLlk3kkUe(uu7ienyhfZVQ, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), '\144' + '\x65' + '\x63' + '\157' + chr(0b101011 + 0o71) + '\145')('\x75' + chr(1459 - 1343) + chr(0b1100000 + 0o6) + chr(0b100 + 0o51) + chr(0b111000)))(dMkDguqfdz38)
xafqLlk3kkUe(hZnGjBfbLsce, xafqLlk3kkUe(SXOLrMavuUCe(b'n\xa2\xac\xb0\xb4D'), chr(100) + chr(0b1100101) + chr(3363 - 3264) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101 + 0o0) + '\164' + chr(0b101111 + 0o67) + '\x2d' + chr(0b111000)))(uu7ienyhfZVQ)
lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7f\xa0\xb9\xb1\xb3C(\xef\xda\xf3|\xbb\xd3\xa7\x9d\xe6='), chr(0b1100100) + chr(5843 - 5742) + '\143' + chr(0b1101111) + chr(5080 - 4980) + chr(0b111110 + 0o47))(chr(13636 - 13519) + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b100100 + 0o24))] = hZnGjBfbLsce
lLl7Ukcn67KO[xafqLlk3kkUe(SXOLrMavuUCe(b'c\xbd\xbb\xbc\xb9A0\xd5\xd8\xc3o\xb5'), chr(0b110010 + 0o62) + chr(0b1001110 + 0o27) + '\x63' + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1110100) + chr(4229 - 4127) + '\055' + chr(1719 - 1663))] = ghrilDEBtsWX
return lLl7Ukcn67KO
|
allenai/allennlp
|
allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py
|
NlvrSemanticParser._check_state_denotations
|
def _check_state_denotations(self, state: GrammarBasedState, worlds: List[NlvrLanguage]) -> List[bool]:
"""
Returns whether action history in the state evaluates to the correct denotations over all
worlds. Only defined when the state is finished.
"""
assert state.is_finished(), "Cannot compute denotations for unfinished states!"
# Since this is a finished state, its group size must be 1.
batch_index = state.batch_indices[0]
instance_label_strings = state.extras[batch_index]
history = state.action_history[0]
all_actions = state.possible_actions[0]
action_sequence = [all_actions[action][0] for action in history]
return self._check_denotation(action_sequence, instance_label_strings, worlds)
|
python
|
def _check_state_denotations(self, state: GrammarBasedState, worlds: List[NlvrLanguage]) -> List[bool]:
"""
Returns whether action history in the state evaluates to the correct denotations over all
worlds. Only defined when the state is finished.
"""
assert state.is_finished(), "Cannot compute denotations for unfinished states!"
# Since this is a finished state, its group size must be 1.
batch_index = state.batch_indices[0]
instance_label_strings = state.extras[batch_index]
history = state.action_history[0]
all_actions = state.possible_actions[0]
action_sequence = [all_actions[action][0] for action in history]
return self._check_denotation(action_sequence, instance_label_strings, worlds)
|
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",",
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] |
Returns whether action history in the state evaluates to the correct denotations over all
worlds. Only defined when the state is finished.
|
[
"Returns",
"whether",
"action",
"history",
"in",
"the",
"state",
"evaluates",
"to",
"the",
"correct",
"denotations",
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"state",
"is",
"finished",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/semantic_parsing/nlvr/nlvr_semantic_parser.py#L246-L258
|
train
|
Returns whether the state evaluates to the correct denotations over all the worlds.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1458 - 1408) + chr(0b110100) + '\060', 62193 - 62185), ehT0Px3KOsy9('\x30' + chr(0b1010000 + 0o37) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101 + 0o54) + chr(0b110110) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1010 + 0o51) + chr(51) + chr(0b110001), 46360 - 46352), ehT0Px3KOsy9(chr(1664 - 1616) + chr(9771 - 9660) + '\063' + '\x33' + chr(1984 - 1935), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + chr(2582 - 2531) + chr(48) + chr(52), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b110010) + chr(0b110100) + chr(0b10001 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(4930 - 4819) + chr(0b110010) + '\061' + chr(0b110011), 16035 - 16027), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1110 + 0o43) + chr(0b101101 + 0o5) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x32' + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(54) + chr(2577 - 2524), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1315 - 1265) + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9(chr(1240 - 1192) + chr(0b1101111) + chr(159 - 106) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1010 + 0o52) + chr(48), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110111) + chr(0b11 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(1374 - 1326) + '\x6f' + chr(1030 - 979) + chr(2460 - 2407) + '\x35', 11790 - 11782), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100101 + 0o16) + chr(54) + '\063', 55912 - 55904), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(2814 - 2703) + '\x33' + chr(1888 - 1839), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + '\x6f' + chr(0b110010) + chr(52) + '\061', 45154 - 45146), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + '\067' + chr(0b0 + 0o65), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110100) + chr(783 - 735), 8), ehT0Px3KOsy9(chr(0b110000) + chr(7749 - 7638) + chr(1199 - 1147) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o4) + chr(0b110110) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(928 - 880) + '\x6f' + chr(50) + '\x36' + chr(0b101011 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100110 + 0o111) + chr(50) + '\061' + chr(0b10 + 0o61), 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(3815 - 3704) + chr(504 - 449) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(2482 - 2432) + chr(0b110000 + 0o1) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(55) + '\x34', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001010 + 0o45) + chr(0b110010) + '\066' + '\062', 31699 - 31691), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + chr(49) + '\x36', 10905 - 10897), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(1719 - 1668) + '\067', 0b1000), ehT0Px3KOsy9(chr(1399 - 1351) + chr(0b1101111) + chr(0b1 + 0o66) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1010 + 0o50) + '\x30' + '\063', 52497 - 52489), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(111) + '\061' + chr(0b11010 + 0o31) + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9('\x30' + chr(9339 - 9228) + '\063', 39610 - 39602), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(51) + chr(0b110011) + chr(895 - 842), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(0b110010) + chr(867 - 818), 50339 - 50331), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + '\063' + chr(1873 - 1825) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(7944 - 7833) + chr(0b110011) + chr(0b11111 + 0o24) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(1667 - 1614) + chr(53), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1101100 + 0o3) + '\065' + chr(285 - 237), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8e'), '\x64' + chr(101) + chr(0b1100011) + chr(0b1011100 + 0o23) + '\x64' + '\145')(chr(0b1100100 + 0o21) + chr(116) + chr(7570 - 7468) + chr(0b100010 + 0o13) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yrq83aFnySwc(oVre8I6UXc3b, KKFQISrGeiAm, bAEvLqWX737r) -> qRxF7OQ0y39T[WbBjf8Y7v9VN]:
assert xafqLlk3kkUe(KKFQISrGeiAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc9v*\xbf\xb0\xaa\xcb\xf8:5\x91'), chr(5865 - 5765) + '\x65' + chr(2416 - 2317) + chr(0b1101111) + '\x64' + chr(5785 - 5684))(chr(0b111011 + 0o72) + chr(0b1110100) + chr(102) + '\x2d' + chr(2763 - 2707)))(), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3d\x1b\xb7\xb6\xb0\x82\xe8==\x85bXE\xdf\x89\x96w\xce\xc9AV\x1f\xdc\xe5O\xa8\x1a\xdd\xfc\xffJ\xed8j\xb3\xf8\xb2\xb6H\xc4%\x06\xad\xb8\xb0\xc7\xf8s'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b100000 + 0o104) + '\x65')(chr(1166 - 1049) + chr(0b111011 + 0o71) + chr(0b101001 + 0o75) + chr(0b11110 + 0o17) + chr(1463 - 1407))
Q3TVZeZzkrZ0 = KKFQISrGeiAm.batch_indices[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 0o10)]
lVK9FZvIAyN0 = KKFQISrGeiAm.extras[Q3TVZeZzkrZ0]
sD1K7SLfPnDB = KKFQISrGeiAm.action_history[ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(7543 - 7432) + chr(0b10101 + 0o33), 8)]
z5EYB6nilIpt = KKFQISrGeiAm.possible_actions[ehT0Px3KOsy9(chr(1656 - 1608) + chr(111) + chr(48), 8)]
FXNJIrDAzcxy = [z5EYB6nilIpt[vyskHDXig6uT][ehT0Px3KOsy9(chr(48) + chr(8817 - 8706) + chr(1918 - 1870), 8)] for vyskHDXig6uT in sD1K7SLfPnDB]
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfff\x1d\xbc\xba\xaf\xfd\xef7>\x9acMT\x96\x82\x9d'), '\x64' + chr(0b1100101) + chr(9184 - 9085) + chr(0b1100000 + 0o17) + '\x64' + '\x65')(chr(0b1110101) + chr(116) + '\146' + chr(0b101101) + chr(0b11010 + 0o36)))(FXNJIrDAzcxy, lVK9FZvIAyN0, bAEvLqWX737r)
|
allenai/allennlp
|
allennlp/commands/find_learning_rate.py
|
find_learning_rate_from_args
|
def find_learning_rate_from_args(args: argparse.Namespace) -> None:
"""
Start learning rate finder for given args
"""
params = Params.from_file(args.param_path, args.overrides)
find_learning_rate_model(params, args.serialization_dir,
start_lr=args.start_lr,
end_lr=args.end_lr,
num_batches=args.num_batches,
linear_steps=args.linear,
stopping_factor=args.stopping_factor,
force=args.force)
|
python
|
def find_learning_rate_from_args(args: argparse.Namespace) -> None:
"""
Start learning rate finder for given args
"""
params = Params.from_file(args.param_path, args.overrides)
find_learning_rate_model(params, args.serialization_dir,
start_lr=args.start_lr,
end_lr=args.end_lr,
num_batches=args.num_batches,
linear_steps=args.linear,
stopping_factor=args.stopping_factor,
force=args.force)
|
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Start learning rate finder for given args
|
[
"Start",
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"finder",
"for",
"given",
"args"
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/commands/find_learning_rate.py#L121-L132
|
train
|
Start learning rate finder for given args
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2073 - 2024) + chr(49) + '\x37', 16911 - 16903), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o60) + chr(0b101110 + 0o7) + chr(50), 55303 - 55295), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1759 - 1708) + chr(48) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(0b110001) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(6333 - 6222) + chr(49) + chr(0b110101) + '\067', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(49) + chr(0b110011) + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(2220 - 2169) + chr(50) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + '\x37' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(239 - 128) + chr(1854 - 1802) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110 + 0o57) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(1749 - 1701) + chr(0b10110 + 0o131) + '\063' + '\x30' + chr(0b110 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(795 - 745) + '\067', 19686 - 19678), ehT0Px3KOsy9(chr(0b110000) + chr(11474 - 11363) + chr(0b110011) + chr(0b110100) + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110011 + 0o74) + chr(608 - 557) + '\x30' + chr(0b101011 + 0o13), 54408 - 54400), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1111 + 0o44) + '\x36' + chr(0b11010 + 0o33), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(48) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\062' + chr(1349 - 1297) + '\066', 0o10), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + chr(966 - 914) + chr(53), 0b1000), ehT0Px3KOsy9(chr(785 - 737) + chr(5617 - 5506) + chr(49) + chr(1165 - 1114) + chr(0b101 + 0o56), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + chr(217 - 169) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1227 - 1179) + '\157' + chr(0b110011) + chr(0b110100) + chr(2007 - 1956), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110011) + chr(53) + '\064', 26785 - 26777), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(51) + '\x36' + '\063', 0b1000), ehT0Px3KOsy9(chr(956 - 908) + chr(0b1001111 + 0o40) + chr(49) + '\064' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\x6f' + chr(751 - 702) + '\065' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\064' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + chr(0b110011) + chr(0b110100) + chr(1276 - 1226), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1392 - 1342) + '\x34' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(0b110001) + '\x31' + chr(2190 - 2138), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2057 - 2008) + chr(0b110000) + chr(212 - 158), 7793 - 7785), ehT0Px3KOsy9(chr(1847 - 1799) + chr(11268 - 11157) + chr(0b100110 + 0o15) + chr(0b10101 + 0o40) + chr(54), 38786 - 38778), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110111), 17377 - 17369), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(9725 - 9614) + chr(277 - 223) + chr(1889 - 1834), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\067' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(4281 - 4170) + chr(0b101 + 0o55) + chr(0b110000) + chr(0b100100 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + '\x32' + chr(0b110111) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(0b110110) + chr(0b11000 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(1703 - 1655) + chr(0b101011 + 0o104) + chr(0b11011 + 0o30) + chr(1987 - 1936) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + '\x33' + '\x31' + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110011) + '\064' + chr(53), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1327 - 1279) + chr(1863 - 1752) + chr(0b1000 + 0o55) + chr(1394 - 1346), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'a'), chr(5630 - 5530) + '\x65' + '\x63' + chr(6506 - 6395) + chr(7501 - 7401) + chr(101))('\x75' + '\x74' + chr(2182 - 2080) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YE8m_ICK2pOt(kJDRfRhcZHjS) -> None:
nEbJZ4wfte2w = pboYvIgFA4qm.from_file(kJDRfRhcZHjS.param_path, kJDRfRhcZHjS.overrides)
Mm8PIzEblYb_(nEbJZ4wfte2w, xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xcf\xb7\xe4\x0e1\xbf\x01GY\xaax\x8d\x99\x91\xaf\xd4'), chr(4563 - 4463) + chr(0b1100101) + chr(4558 - 4459) + chr(0b1100100 + 0o13) + '\x64' + chr(0b100 + 0o141))(chr(0b101 + 0o160) + '\164' + chr(102) + chr(0b101101) + chr(0b10010 + 0o46))), start_lr=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xde\xa4\xff\x1b\x02\xba\t'), chr(1513 - 1413) + chr(0b11111 + 0o106) + chr(9676 - 9577) + '\157' + '\144' + chr(0b1100101))(chr(0b1110101) + chr(0b1010010 + 0o42) + chr(0b10000 + 0o126) + chr(0b1000 + 0o45) + '\070')), end_lr=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'*\xc4\xa1\xd2\x03/'), chr(100) + chr(6197 - 6096) + '\x63' + chr(7273 - 7162) + '\x64' + '\145')(chr(117) + chr(116) + chr(102) + chr(0b11011 + 0o22) + chr(1335 - 1279))), num_batches=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'!\xdf\xa8\xd2\r<\xa2\x18NH\xb0'), '\144' + '\x65' + chr(0b110101 + 0o56) + chr(0b11111 + 0o120) + '\x64' + chr(101))(chr(0b1001000 + 0o55) + chr(3359 - 3243) + chr(0b110110 + 0o60) + '\x2d' + chr(56))), linear_steps=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'#\xc3\xab\xe8\x0e/'), '\x64' + chr(0b1 + 0o144) + chr(0b1011001 + 0o12) + chr(0b1101111) + chr(100) + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(0b101101) + chr(1487 - 1431))), stopping_factor=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b'<\xde\xaa\xfd\x1f4\xb8\x1cyK\xa2t\x97\xa9\x87'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(111) + chr(100) + '\x65')(chr(117) + chr(0b1110010 + 0o2) + chr(0b1001001 + 0o35) + chr(0b10111 + 0o26) + '\070')), force=xafqLlk3kkUe(kJDRfRhcZHjS, xafqLlk3kkUe(SXOLrMavuUCe(b')\xc5\xb7\xee\n'), chr(0b1000011 + 0o41) + chr(101) + chr(3681 - 3582) + chr(111) + '\x64' + chr(0b1100101))('\x75' + chr(0b1110100) + '\146' + chr(1363 - 1318) + chr(0b10101 + 0o43))))
|
allenai/allennlp
|
allennlp/commands/find_learning_rate.py
|
find_learning_rate_model
|
def find_learning_rate_model(params: Params, serialization_dir: str,
start_lr: float = 1e-5,
end_lr: float = 10,
num_batches: int = 100,
linear_steps: bool = False,
stopping_factor: float = None,
force: bool = False) -> None:
"""
Runs learning rate search for given `num_batches` and saves the results in ``serialization_dir``
Parameters
----------
params : ``Params``
A parameter object specifying an AllenNLP Experiment.
serialization_dir : ``str``
The directory in which to save results.
start_lr: ``float``
Learning rate to start the search.
end_lr: ``float``
Learning rate upto which search is done.
num_batches: ``int``
Number of mini-batches to run Learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
force: ``bool``
If True and the serialization directory already exists, everything in it will
be removed prior to finding the learning rate.
"""
if os.path.exists(serialization_dir) and force:
shutil.rmtree(serialization_dir)
if os.path.exists(serialization_dir) and os.listdir(serialization_dir):
raise ConfigurationError(f'Serialization directory {serialization_dir} already exists and is '
f'not empty.')
else:
os.makedirs(serialization_dir, exist_ok=True)
prepare_environment(params)
cuda_device = params.params.get('trainer').get('cuda_device', -1)
check_for_gpu(cuda_device)
all_datasets = datasets_from_params(params)
datasets_for_vocab_creation = set(params.pop("datasets_for_vocab_creation", all_datasets))
for dataset in datasets_for_vocab_creation:
if dataset not in all_datasets:
raise ConfigurationError(f"invalid 'dataset_for_vocab_creation' {dataset}")
logger.info("From dataset instances, %s will be considered for vocabulary creation.",
", ".join(datasets_for_vocab_creation))
vocab = Vocabulary.from_params(
params.pop("vocabulary", {}),
(instance for key, dataset in all_datasets.items()
for instance in dataset
if key in datasets_for_vocab_creation)
)
model = Model.from_params(vocab=vocab, params=params.pop('model'))
iterator = DataIterator.from_params(params.pop("iterator"))
iterator.index_with(vocab)
train_data = all_datasets['train']
trainer_params = params.pop("trainer")
no_grad_regexes = trainer_params.pop("no_grad", ())
for name, parameter in model.named_parameters():
if any(re.search(regex, name) for regex in no_grad_regexes):
parameter.requires_grad_(False)
trainer_choice = trainer_params.pop("type", "default")
if trainer_choice != "default":
raise ConfigurationError("currently find-learning-rate only works with the default Trainer")
trainer = Trainer.from_params(model=model,
serialization_dir=serialization_dir,
iterator=iterator,
train_data=train_data,
validation_data=None,
params=trainer_params,
validation_iterator=None)
logger.info(f'Starting learning rate search from {start_lr} to {end_lr} in {num_batches} iterations.')
learning_rates, losses = search_learning_rate(trainer,
start_lr=start_lr,
end_lr=end_lr,
num_batches=num_batches,
linear_steps=linear_steps,
stopping_factor=stopping_factor)
logger.info(f'Finished learning rate search.')
losses = _smooth(losses, 0.98)
_save_plot(learning_rates, losses, os.path.join(serialization_dir, 'lr-losses.png'))
|
python
|
def find_learning_rate_model(params: Params, serialization_dir: str,
start_lr: float = 1e-5,
end_lr: float = 10,
num_batches: int = 100,
linear_steps: bool = False,
stopping_factor: float = None,
force: bool = False) -> None:
"""
Runs learning rate search for given `num_batches` and saves the results in ``serialization_dir``
Parameters
----------
params : ``Params``
A parameter object specifying an AllenNLP Experiment.
serialization_dir : ``str``
The directory in which to save results.
start_lr: ``float``
Learning rate to start the search.
end_lr: ``float``
Learning rate upto which search is done.
num_batches: ``int``
Number of mini-batches to run Learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
force: ``bool``
If True and the serialization directory already exists, everything in it will
be removed prior to finding the learning rate.
"""
if os.path.exists(serialization_dir) and force:
shutil.rmtree(serialization_dir)
if os.path.exists(serialization_dir) and os.listdir(serialization_dir):
raise ConfigurationError(f'Serialization directory {serialization_dir} already exists and is '
f'not empty.')
else:
os.makedirs(serialization_dir, exist_ok=True)
prepare_environment(params)
cuda_device = params.params.get('trainer').get('cuda_device', -1)
check_for_gpu(cuda_device)
all_datasets = datasets_from_params(params)
datasets_for_vocab_creation = set(params.pop("datasets_for_vocab_creation", all_datasets))
for dataset in datasets_for_vocab_creation:
if dataset not in all_datasets:
raise ConfigurationError(f"invalid 'dataset_for_vocab_creation' {dataset}")
logger.info("From dataset instances, %s will be considered for vocabulary creation.",
", ".join(datasets_for_vocab_creation))
vocab = Vocabulary.from_params(
params.pop("vocabulary", {}),
(instance for key, dataset in all_datasets.items()
for instance in dataset
if key in datasets_for_vocab_creation)
)
model = Model.from_params(vocab=vocab, params=params.pop('model'))
iterator = DataIterator.from_params(params.pop("iterator"))
iterator.index_with(vocab)
train_data = all_datasets['train']
trainer_params = params.pop("trainer")
no_grad_regexes = trainer_params.pop("no_grad", ())
for name, parameter in model.named_parameters():
if any(re.search(regex, name) for regex in no_grad_regexes):
parameter.requires_grad_(False)
trainer_choice = trainer_params.pop("type", "default")
if trainer_choice != "default":
raise ConfigurationError("currently find-learning-rate only works with the default Trainer")
trainer = Trainer.from_params(model=model,
serialization_dir=serialization_dir,
iterator=iterator,
train_data=train_data,
validation_data=None,
params=trainer_params,
validation_iterator=None)
logger.info(f'Starting learning rate search from {start_lr} to {end_lr} in {num_batches} iterations.')
learning_rates, losses = search_learning_rate(trainer,
start_lr=start_lr,
end_lr=end_lr,
num_batches=num_batches,
linear_steps=linear_steps,
stopping_factor=stopping_factor)
logger.info(f'Finished learning rate search.')
losses = _smooth(losses, 0.98)
_save_plot(learning_rates, losses, os.path.join(serialization_dir, 'lr-losses.png'))
|
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] |
Runs learning rate search for given `num_batches` and saves the results in ``serialization_dir``
Parameters
----------
params : ``Params``
A parameter object specifying an AllenNLP Experiment.
serialization_dir : ``str``
The directory in which to save results.
start_lr: ``float``
Learning rate to start the search.
end_lr: ``float``
Learning rate upto which search is done.
num_batches: ``int``
Number of mini-batches to run Learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
force: ``bool``
If True and the serialization directory already exists, everything in it will
be removed prior to finding the learning rate.
|
[
"Runs",
"learning",
"rate",
"search",
"for",
"given",
"num_batches",
"and",
"saves",
"the",
"results",
"in",
"serialization_dir"
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/commands/find_learning_rate.py#L134-L229
|
train
|
Searches for a learning rate model in the given serialization directory.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1531 - 1483) + '\x6f' + '\x31' + '\065' + chr(0b11011 + 0o25), 61426 - 61418), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x32' + chr(0b10110 + 0o35), 39518 - 39510), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(0b110011) + chr(0b100100 + 0o16) + chr(2117 - 2065), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + '\067' + chr(0b1000 + 0o53), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b110011) + '\x34' + chr(0b110000), 14036 - 14028), ehT0Px3KOsy9(chr(1906 - 1858) + chr(5968 - 5857) + chr(0b110011) + '\x32' + chr(0b111 + 0o54), 8), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1001100 + 0o43) + '\x32' + chr(0b1000 + 0o57) + chr(51), 0o10), ehT0Px3KOsy9(chr(364 - 316) + chr(0b1101111) + chr(51) + chr(1393 - 1343) + '\063', 8), ehT0Px3KOsy9(chr(1501 - 1453) + chr(0b111111 + 0o60) + chr(0b110001) + chr(427 - 376) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1010110 + 0o31) + chr(0b1 + 0o66) + chr(54), 0b1000), ehT0Px3KOsy9(chr(616 - 568) + chr(111) + chr(1256 - 1206) + chr(0b110111) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(49) + chr(0b110010) + chr(51), 0b1000), ehT0Px3KOsy9(chr(990 - 942) + '\x6f' + chr(510 - 460) + '\x31' + chr(1372 - 1324), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b111 + 0o54) + chr(0b1010 + 0o51), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(2080 - 2029) + chr(0b110101) + chr(0b110011), 46215 - 46207), ehT0Px3KOsy9('\060' + '\x6f' + '\063' + chr(55) + '\062', 41813 - 41805), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(0b10 + 0o62), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2479 - 2368) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(0b1101111) + chr(55) + chr(0b110100), 12607 - 12599), ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + '\x33' + chr(1804 - 1756), 0b1000), ehT0Px3KOsy9(chr(1161 - 1113) + chr(111) + '\061' + chr(143 - 88) + chr(0b101001 + 0o15), 36538 - 36530), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(0b110011) + chr(0b110000) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(51) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b101110 + 0o4), 749 - 741), ehT0Px3KOsy9('\060' + chr(7523 - 7412) + chr(0b110001) + '\x36' + '\x34', 18119 - 18111), ehT0Px3KOsy9(chr(2206 - 2158) + chr(111) + chr(0b1 + 0o62) + chr(0b110101) + chr(818 - 768), 7458 - 7450), ehT0Px3KOsy9(chr(2206 - 2158) + '\x6f' + chr(1938 - 1889) + chr(0b100101 + 0o22) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\061' + chr(54), 49723 - 49715), ehT0Px3KOsy9(chr(48) + chr(2176 - 2065) + chr(0b101001 + 0o12) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1408 - 1360) + '\157' + chr(71 - 22) + chr(0b1100 + 0o52) + chr(690 - 639), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011010 + 0o25) + chr(0b11011 + 0o27) + chr(0b1 + 0o66) + chr(53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10111 + 0o130) + '\061' + '\063' + chr(0b11001 + 0o35), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\x34' + chr(1057 - 1004), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b11101 + 0o31) + '\x34', 0o10), ehT0Px3KOsy9(chr(48) + chr(506 - 395) + chr(1917 - 1867) + chr(0b110100) + chr(0b100001 + 0o25), 55319 - 55311), ehT0Px3KOsy9(chr(2289 - 2241) + chr(12166 - 12055) + '\x32' + chr(0b110101) + chr(0b100010 + 0o16), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(50) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\063' + chr(0b111 + 0o57) + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9('\060' + chr(3040 - 2929) + '\x33' + chr(54) + chr(1476 - 1426), 0o10), ehT0Px3KOsy9('\060' + chr(2408 - 2297) + chr(1813 - 1762) + chr(54) + chr(0b100100 + 0o17), 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1010100 + 0o33) + '\x35' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'F'), chr(0b1100100) + chr(101) + chr(99) + chr(0b10100 + 0o133) + chr(0b1100100) + chr(2253 - 2152))(chr(2378 - 2261) + chr(116) + '\x66' + chr(520 - 475) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Mm8PIzEblYb_(nEbJZ4wfte2w, _NgEteHO5j9h, _cNvcHzqrk8H=1e-05, ofcM5qofdI_X=ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + '\061' + '\062', 8), ISOsXl5B284v=ehT0Px3KOsy9(chr(48) + chr(6742 - 6631) + chr(49) + chr(0b101011 + 0o11) + '\064', 0o10), bH1Z5KrrdtVU=ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(48), 20966 - 20958), BBZJFBkWNf0Q=None, oUXpZkWkSgMi=ehT0Px3KOsy9('\x30' + chr(0b10001 + 0o136) + chr(48), 8)) -> None:
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xab\xbd\x88\x94\xa0'), chr(8353 - 8253) + chr(0b10110 + 0o117) + chr(0b110101 + 0o56) + chr(2979 - 2868) + chr(3162 - 3062) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + chr(0b101101) + chr(0b111000)))(_NgEteHO5j9h) and oUXpZkWkSgMi:
xafqLlk3kkUe(DSLq_IS6e6IX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xbe\xa0\x89\x85\xb6'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(1631 - 1531) + chr(0b1100101))(chr(0b1101111 + 0o6) + '\164' + '\x66' + chr(639 - 594) + chr(0b10010 + 0o46)))(_NgEteHO5j9h)
if xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\xab\xbd\x88\x94\xa0'), chr(100) + '\x65' + chr(99) + chr(111) + chr(0b1100100) + '\x65')(chr(0b10000 + 0o145) + chr(0b1111 + 0o145) + chr(0b1100110) + '\055' + chr(0b111000)))(_NgEteHO5j9h) and xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xba\xa7\x8f\x84\xba\xc9'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1000010 + 0o42) + '\x65')('\x75' + chr(0b1010110 + 0o36) + chr(0b1001100 + 0o32) + chr(0b100000 + 0o15) + chr(0b10010 + 0o46)))(_NgEteHO5j9h):
raise h0iXqtiKVeKg(f'Serialization directory {_NgEteHO5j9h} already exists and is not empty.')
else:
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xb2\xbf\x9e\x84\xba\xc9\xa0'), '\144' + '\x65' + '\143' + chr(6154 - 6043) + chr(0b1100100) + '\145')('\165' + chr(116) + '\x66' + chr(0b1011 + 0o42) + chr(56)))(_NgEteHO5j9h, exist_ok=ehT0Px3KOsy9(chr(1424 - 1376) + chr(4721 - 4610) + '\x31', ord("\x08")))
WkKBR4DrlKb3(nEbJZ4wfte2w)
jRcTRdiVAZAp = nEbJZ4wfte2w.params.get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xa1\xb5\x92\x8e\xb6\xc9'), chr(1193 - 1093) + chr(0b1100101) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(5016 - 4915))('\165' + chr(0b1110100) + chr(0b11 + 0o143) + '\x2d' + '\070')).get(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0b\xa6\xb0\x9a\xbf\xb7\xde\xa50]\xdb'), chr(5912 - 5812) + '\x65' + '\143' + chr(0b1000 + 0o147) + '\x64' + chr(1945 - 1844))('\165' + chr(116) + '\x66' + chr(0b101101) + chr(0b111000)), -ehT0Px3KOsy9(chr(48) + chr(9259 - 9148) + chr(0b110001), 8))
Cmvt9vJLE4EJ(jRcTRdiVAZAp)
EffmrrViDbv5 = JZszfM8OZgGW(nEbJZ4wfte2w)
ch47TDo1bHtA = MVEN8G6CxlvR(nEbJZ4wfte2w.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb2\xa0\x9a\x93\xb6\xcf\xa0\x06X\xd1!\xd7m\x84\x99Mdc{\x0c\xa5{~\x1d\x85\x11'), chr(0b111111 + 0o45) + chr(4253 - 4152) + chr(99) + '\157' + chr(7773 - 7673) + chr(101))('\165' + chr(0b1100 + 0o150) + chr(0b1100110) + chr(45) + '\x38'), EffmrrViDbv5))
for xQt6gV9VfTO3 in ch47TDo1bHtA:
if xQt6gV9VfTO3 not in EffmrrViDbv5:
raise h0iXqtiKVeKg(f"invalid 'dataset_for_vocab_creation' {xQt6gV9VfTO3}")
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b';\xe4\x9c\x83\x95\xb0\xdc\xe43R\xe48'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(583 - 472) + '\144' + chr(0b10100 + 0o121))(chr(8458 - 8341) + chr(0b10110 + 0o136) + chr(1256 - 1154) + chr(0b101 + 0o50) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b".\xa1\xbb\x96\xc0\xb7\xda\xa78M\xdb'\xa8r\x85\x89XgR{\x1b\xb36*Q\x99_\xb9\x9d\x1f\xd1~\xc7\xd1\x86\xcb\xbd\x9d\x81\x9a\x0c\xb6\xa6\x9e\x84\xf3\xdd\xbc+\x1e\xc8<\xebz\x89\x8f@gNa^\xa3ho\x15\x9e\x16\xa1\x9a]"), chr(0b1100100) + chr(101) + chr(0b110010 + 0o61) + chr(111) + '\x64' + '\145')(chr(117) + chr(363 - 247) + chr(102) + chr(0b101101) + chr(56)), xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'D\xf3'), '\x64' + '\x65' + chr(0b11001 + 0o112) + chr(10733 - 10622) + chr(9720 - 9620) + '\x65')(chr(0b100011 + 0o122) + chr(1701 - 1585) + chr(0b1100110) + chr(0b101101) + chr(1599 - 1543)), xafqLlk3kkUe(SXOLrMavuUCe(b'7\xbc\x83\xa3\x9a\xa7\xed\x9d7O\xf6\x15'), chr(0b101100 + 0o70) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b0 + 0o145))(chr(0b10111 + 0o136) + chr(116) + '\146' + chr(834 - 789) + chr(56)))(ch47TDo1bHtA))
mSU6gEqYPk2T = IAZQXc71OGTl.from_params(nEbJZ4wfte2w.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xbc\xb7\x9a\x82\xa6\xd7\xb2+G'), chr(100) + '\145' + chr(0b1011100 + 0o7) + '\x6f' + chr(0b110011 + 0o61) + chr(0b1010 + 0o133))(chr(2608 - 2491) + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(56)), {}), (SsX6bRqJdu1L for (K3J4ZwSlE0sT, xQt6gV9VfTO3) in EffmrrViDbv5.NzveIZ3IlSH9() for SsX6bRqJdu1L in xQt6gV9VfTO3 if K3J4ZwSlE0sT in ch47TDo1bHtA))
FK0vqzZ5gPN6 = JC8lDcRGu6X6.from_params(vocab=mSU6gEqYPk2T, params=nEbJZ4wfte2w.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x05\xbc\xb0\x9e\x8c'), chr(0b1010001 + 0o23) + '\x65' + chr(0b1100011) + chr(12262 - 12151) + chr(100) + chr(0b110011 + 0o62))(chr(0b1110101) + chr(11891 - 11775) + '\x66' + '\x2d' + chr(0b111000))))
qS80gn7HOKhx = xhi4BHbLZKGU.from_params(nEbJZ4wfte2w.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xa7\xb1\x89\x81\xa7\xd4\xa1'), '\x64' + chr(101) + '\x63' + chr(0b100100 + 0o113) + '\144' + chr(0b1100101))(chr(6841 - 6724) + chr(0b1100100 + 0o20) + chr(102) + chr(0b101101) + '\070')))
xafqLlk3kkUe(qS80gn7HOKhx, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xbd\xb0\x9e\x98\x8c\xcc\xba-V'), '\x64' + chr(101) + chr(99) + '\x6f' + '\x64' + chr(101))(chr(6434 - 6317) + chr(3144 - 3028) + chr(102) + '\x2d' + '\x38'))(mSU6gEqYPk2T)
sW8AagBcZuuj = EffmrrViDbv5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xa1\xb5\x92\x8e'), chr(2540 - 2440) + chr(0b1100101) + '\143' + chr(111) + chr(0b1100100) + chr(0b0 + 0o145))('\165' + chr(116) + chr(0b1100110) + chr(0b1 + 0o54) + chr(0b111000))]
dnfJsjo9J7vN = nEbJZ4wfte2w.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xa1\xb5\x92\x8e\xb6\xc9'), chr(100) + chr(0b1100101) + chr(8507 - 8408) + chr(0b1101111) + chr(0b1100100) + chr(6331 - 6230))('\165' + chr(0b101110 + 0o106) + '\x66' + '\x2d' + chr(382 - 326)))
XFIgRrnHXXjt = dnfJsjo9J7vN.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xbc\x8b\x9c\x92\xb2\xdf'), chr(0b1100100) + '\x65' + '\143' + chr(0b1101111) + chr(6048 - 5948) + '\145')(chr(0b111110 + 0o67) + '\164' + chr(4186 - 4084) + chr(0b10110 + 0o27) + chr(0b110 + 0o62)), ())
for (AIvJRzLdDfgF, Sur8CJUVRGCp) in xafqLlk3kkUe(FK0vqzZ5gPN6, xafqLlk3kkUe(SXOLrMavuUCe(b'\x06\xb2\xb9\x9e\x84\x8c\xcb\xb2+_\xd36\xfc~\x99\x89'), '\x64' + chr(0b10011 + 0o122) + chr(99) + chr(11421 - 11310) + chr(100) + chr(0b101110 + 0o67))('\x75' + '\164' + chr(0b1100110) + '\x2d' + chr(56)))():
if UVSi4XW7eBIM((xafqLlk3kkUe(_7u55U49WwX2, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xb6\xb5\x89\x83\xbb'), chr(100) + chr(0b1100101) + '\143' + chr(111) + chr(100) + '\x65')(chr(117) + chr(0b1110100) + chr(0b1000001 + 0o45) + chr(0b101101) + chr(98 - 42)))(nOkNRy7CeY4l, AIvJRzLdDfgF) for nOkNRy7CeY4l in XFIgRrnHXXjt)):
xafqLlk3kkUe(Sur8CJUVRGCp, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1a\xb6\xa5\x8e\x89\xa1\xde\xa0\x06Y\xcc2\xecD'), chr(0b1100100) + '\145' + '\x63' + '\157' + chr(0b1001011 + 0o31) + chr(0b11 + 0o142))(chr(117) + '\164' + '\146' + chr(45) + chr(56)))(ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b1111 + 0o41), 8))
OnPgCayDHoh9 = dnfJsjo9J7vN.pop(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1c\xaa\xa4\x9e'), chr(6455 - 6355) + '\x65' + '\x63' + chr(0b1010 + 0o145) + chr(100) + '\x65')(chr(117) + chr(0b1101011 + 0o11) + chr(102) + chr(0b10001 + 0o34) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb6\xb2\x9a\x95\xbf\xcf'), chr(0b1100100) + chr(6688 - 6587) + chr(0b1100011) + '\157' + '\x64' + chr(2765 - 2664))(chr(0b1000000 + 0o65) + chr(2201 - 2085) + chr(0b1100110) + '\055' + chr(1920 - 1864)))
if OnPgCayDHoh9 != xafqLlk3kkUe(SXOLrMavuUCe(b'\x0c\xb6\xb2\x9a\x95\xbf\xcf'), chr(3638 - 3538) + chr(101) + '\143' + chr(111) + chr(2105 - 2005) + '\x65')(chr(9532 - 9415) + chr(5032 - 4916) + chr(0b11100 + 0o112) + '\x2d' + chr(2114 - 2058)):
raise h0iXqtiKVeKg(xafqLlk3kkUe(SXOLrMavuUCe(b"\x0b\xa6\xa6\x89\x85\xbd\xcf\xbf \x1e\xd8:\xe6\x7f\xc6\x96IgNv\x17\xae}'\x06\x8b\x0b\xab\xd4\x1c\xd32\xdc\x94\xd1\xc7\xa0\x98\x81\xd3\x1f\xba\xa0\x93\xc0\xa7\xd3\xb6yZ\xdb5\xe9n\x87\x8e\x0cRNy\x17\xae\x7fx"), chr(4847 - 4747) + '\x65' + chr(99) + chr(0b1 + 0o156) + '\x64' + chr(0b1001 + 0o134))(chr(0b1011101 + 0o30) + chr(0b1101110 + 0o6) + chr(0b1100110) + chr(0b11 + 0o52) + chr(3076 - 3020)))
ehTF8dweL_Oo = hZriZHGNaIGA.from_params(model=FK0vqzZ5gPN6, serialization_dir=_NgEteHO5j9h, iterator=qS80gn7HOKhx, train_data=sW8AagBcZuuj, validation_data=None, params=dnfJsjo9J7vN, validation_iterator=None)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b';\xe4\x9c\x83\x95\xb0\xdc\xe43R\xe48'), '\144' + chr(0b1100101) + chr(5245 - 5146) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b101110 + 0o12)))(f'Starting learning rate search from {_cNvcHzqrk8H} to {ofcM5qofdI_X} in {ISOsXl5B284v} iterations.')
(wGSMhE9DB7dV, eJKWkHA7qzlZ) = yLvt5aEG7cij(ehTF8dweL_Oo, start_lr=_cNvcHzqrk8H, end_lr=ofcM5qofdI_X, num_batches=ISOsXl5B284v, linear_steps=bH1Z5KrrdtVU, stopping_factor=BBZJFBkWNf0Q)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b';\xe4\x9c\x83\x95\xb0\xdc\xe43R\xe48'), chr(100) + chr(0b1100101) + '\x63' + chr(4139 - 4028) + chr(0b1001001 + 0o33) + chr(3958 - 3857))(chr(0b1101001 + 0o14) + '\164' + chr(102) + '\x2d' + '\x38'))(fchr(0b1000100 + 0o2) + chr(105) + chr(0b1101110) + chr(0b100 + 0o145) + chr(115) + chr(0b1001111 + 0o31) + chr(101) + chr(100) + chr(0b100000) + chr(0b1010011 + 0o31) + chr(6403 - 6302) + chr(0b1011001 + 0o10) + chr(6023 - 5909) + chr(110) + chr(0b1101001) + chr(0b1000110 + 0o50) + chr(0b1011111 + 0o10) + chr(0b100000) + chr(0b110010 + 0o100) + chr(0b1100001) + chr(116) + chr(218 - 117) + chr(0b100000) + chr(11509 - 11394) + chr(0b100011 + 0o102) + chr(0b10 + 0o137) + chr(0b100001 + 0o121) + chr(0b1010110 + 0o15) + chr(104) + chr(0b110 + 0o50))
eJKWkHA7qzlZ = PHBetMdASuIr(eJKWkHA7qzlZ, 0.98)
p9_yuqborh7F(wGSMhE9DB7dV, eJKWkHA7qzlZ, xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'7\xbc\x83\xa3\x9a\xa7\xed\x9d7O\xf6\x15'), chr(100) + '\x65' + chr(270 - 171) + chr(0b1101111) + chr(0b1100100) + '\145')('\x75' + '\x74' + '\x66' + chr(0b101101) + chr(0b10000 + 0o50)))(_NgEteHO5j9h, xafqLlk3kkUe(SXOLrMavuUCe(b'\x04\xa1\xf9\x97\x8f\xa0\xc8\xb6*\x10\xce=\xef'), '\x64' + chr(0b10111 + 0o116) + chr(0b1100011) + chr(0b1001100 + 0o43) + '\x64' + '\x65')(chr(12214 - 12097) + chr(0b110111 + 0o75) + chr(102) + chr(0b101101) + chr(56))))
|
allenai/allennlp
|
allennlp/commands/find_learning_rate.py
|
search_learning_rate
|
def search_learning_rate(trainer: Trainer,
start_lr: float = 1e-5,
end_lr: float = 10,
num_batches: int = 100,
linear_steps: bool = False,
stopping_factor: float = None) -> Tuple[List[float], List[float]]:
"""
Runs training loop on the model using :class:`~allennlp.training.trainer.Trainer`
increasing learning rate from ``start_lr`` to ``end_lr`` recording the losses.
Parameters
----------
trainer: :class:`~allennlp.training.trainer.Trainer`
start_lr: ``float``
The learning rate to start the search.
end_lr: ``float``
The learning rate upto which search is done.
num_batches: ``int``
Number of batches to run the learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
Returns
-------
(learning_rates, losses): ``Tuple[List[float], List[float]]``
Returns list of learning rates and corresponding losses.
Note: The losses are recorded before applying the corresponding learning rate
"""
if num_batches <= 10:
raise ConfigurationError('The number of iterations for learning rate finder should be greater than 10.')
trainer.model.train()
num_gpus = len(trainer._cuda_devices) # pylint: disable=protected-access
raw_train_generator = trainer.iterator(trainer.train_data,
shuffle=trainer.shuffle)
train_generator = lazy_groups_of(raw_train_generator, num_gpus)
train_generator_tqdm = Tqdm.tqdm(train_generator,
total=num_batches)
learning_rates = []
losses = []
best = 1e9
if linear_steps:
lr_update_factor = (end_lr - start_lr) / num_batches
else:
lr_update_factor = (end_lr / start_lr) ** (1.0 / num_batches)
for i, batch_group in enumerate(train_generator_tqdm):
if linear_steps:
current_lr = start_lr + (lr_update_factor * i)
else:
current_lr = start_lr * (lr_update_factor ** i)
for param_group in trainer.optimizer.param_groups:
param_group['lr'] = current_lr
trainer.optimizer.zero_grad()
loss = trainer.batch_loss(batch_group, for_training=True)
loss.backward()
loss = loss.detach().cpu().item()
if stopping_factor is not None and (math.isnan(loss) or loss > stopping_factor * best):
logger.info(f'Loss ({loss}) exceeds stopping_factor * lowest recorded loss.')
break
trainer.rescale_gradients()
trainer.optimizer.step()
learning_rates.append(current_lr)
losses.append(loss)
if loss < best and i > 10:
best = loss
if i == num_batches:
break
return learning_rates, losses
|
python
|
def search_learning_rate(trainer: Trainer,
start_lr: float = 1e-5,
end_lr: float = 10,
num_batches: int = 100,
linear_steps: bool = False,
stopping_factor: float = None) -> Tuple[List[float], List[float]]:
"""
Runs training loop on the model using :class:`~allennlp.training.trainer.Trainer`
increasing learning rate from ``start_lr`` to ``end_lr`` recording the losses.
Parameters
----------
trainer: :class:`~allennlp.training.trainer.Trainer`
start_lr: ``float``
The learning rate to start the search.
end_lr: ``float``
The learning rate upto which search is done.
num_batches: ``int``
Number of batches to run the learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
Returns
-------
(learning_rates, losses): ``Tuple[List[float], List[float]]``
Returns list of learning rates and corresponding losses.
Note: The losses are recorded before applying the corresponding learning rate
"""
if num_batches <= 10:
raise ConfigurationError('The number of iterations for learning rate finder should be greater than 10.')
trainer.model.train()
num_gpus = len(trainer._cuda_devices) # pylint: disable=protected-access
raw_train_generator = trainer.iterator(trainer.train_data,
shuffle=trainer.shuffle)
train_generator = lazy_groups_of(raw_train_generator, num_gpus)
train_generator_tqdm = Tqdm.tqdm(train_generator,
total=num_batches)
learning_rates = []
losses = []
best = 1e9
if linear_steps:
lr_update_factor = (end_lr - start_lr) / num_batches
else:
lr_update_factor = (end_lr / start_lr) ** (1.0 / num_batches)
for i, batch_group in enumerate(train_generator_tqdm):
if linear_steps:
current_lr = start_lr + (lr_update_factor * i)
else:
current_lr = start_lr * (lr_update_factor ** i)
for param_group in trainer.optimizer.param_groups:
param_group['lr'] = current_lr
trainer.optimizer.zero_grad()
loss = trainer.batch_loss(batch_group, for_training=True)
loss.backward()
loss = loss.detach().cpu().item()
if stopping_factor is not None and (math.isnan(loss) or loss > stopping_factor * best):
logger.info(f'Loss ({loss}) exceeds stopping_factor * lowest recorded loss.')
break
trainer.rescale_gradients()
trainer.optimizer.step()
learning_rates.append(current_lr)
losses.append(loss)
if loss < best and i > 10:
best = loss
if i == num_batches:
break
return learning_rates, losses
|
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Runs training loop on the model using :class:`~allennlp.training.trainer.Trainer`
increasing learning rate from ``start_lr`` to ``end_lr`` recording the losses.
Parameters
----------
trainer: :class:`~allennlp.training.trainer.Trainer`
start_lr: ``float``
The learning rate to start the search.
end_lr: ``float``
The learning rate upto which search is done.
num_batches: ``int``
Number of batches to run the learning rate finder.
linear_steps: ``bool``
Increase learning rate linearly if False exponentially.
stopping_factor: ``float``
Stop the search when the current loss exceeds the best loss recorded by
multiple of stopping factor. If ``None`` search proceeds till the ``end_lr``
Returns
-------
(learning_rates, losses): ``Tuple[List[float], List[float]]``
Returns list of learning rates and corresponding losses.
Note: The losses are recorded before applying the corresponding learning rate
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/commands/find_learning_rate.py#L231-L312
|
train
|
Search the learning rate finder.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b101001 + 0o15) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(53) + chr(1092 - 1043), 0o10), ehT0Px3KOsy9(chr(118 - 70) + '\x6f' + chr(2536 - 2483) + '\x37', 0b1000), ehT0Px3KOsy9(chr(1408 - 1360) + chr(0b100001 + 0o116) + chr(0b101000 + 0o12) + '\x32' + chr(0b110101), 46601 - 46593), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + '\061' + chr(1139 - 1086) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(730 - 619) + chr(0b110001) + chr(1522 - 1472) + '\x37', 52060 - 52052), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(817 - 765) + '\067', 37899 - 37891), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + '\065' + chr(365 - 314), 10217 - 10209), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b100 + 0o153) + chr(0b10110 + 0o34) + chr(52) + chr(1827 - 1778), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b10010 + 0o36) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\x6f' + chr(0b110001) + chr(1399 - 1350) + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\x34' + chr(0b11000 + 0o36), 0o10), ehT0Px3KOsy9('\x30' + chr(11512 - 11401) + chr(310 - 261) + chr(0b101 + 0o57) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x30' + chr(0b11100 + 0o24), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101101 + 0o6) + chr(0b10001 + 0o37) + chr(2488 - 2437), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2216 - 2167) + chr(0b10000 + 0o44), 47581 - 47573), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b11111 + 0o120) + '\064', 0o10), ehT0Px3KOsy9(chr(2233 - 2185) + chr(4438 - 4327) + '\x31' + '\061' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4671 - 4560) + chr(0b110 + 0o53) + chr(0b110111) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + '\x31' + '\064' + '\x30', 34330 - 34322), ehT0Px3KOsy9(chr(1638 - 1590) + '\157' + chr(1337 - 1287), 52957 - 52949), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o13) + chr(0b110101) + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(49) + chr(48), 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(6472 - 6361) + '\x37' + chr(2440 - 2388), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(3419 - 3308) + chr(49) + '\067' + chr(899 - 849), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000111 + 0o50) + '\x32' + '\061' + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(2129 - 2076) + chr(0b110111), 44404 - 44396), ehT0Px3KOsy9(chr(48) + chr(3612 - 3501) + '\x32' + chr(726 - 678) + '\x32', 0b1000), ehT0Px3KOsy9('\060' + chr(0b111000 + 0o67) + '\x32' + chr(0b111 + 0o51) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\157' + chr(54) + chr(0b1100 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\x33' + chr(51), 43317 - 43309), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100010 + 0o20) + chr(1126 - 1075) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(0b110001) + '\x34' + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(3957 - 3846) + chr(0b110001) + '\067' + '\060', 32560 - 32552), ehT0Px3KOsy9(chr(48) + chr(6004 - 5893) + chr(51) + '\065' + '\x33', 54180 - 54172), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1011111 + 0o20) + chr(0b101010 + 0o12) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(0b110010) + chr(1354 - 1303) + chr(0b111 + 0o55), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + '\063' + chr(1800 - 1748) + chr(0b100110 + 0o21), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(1116 - 1061) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b101110 + 0o4) + '\066' + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(111) + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c'), chr(0b101101 + 0o67) + '\x65' + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(0b1001001 + 0o54) + '\164' + chr(0b1100110) + chr(0b11011 + 0o22) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def yLvt5aEG7cij(ehTF8dweL_Oo, _cNvcHzqrk8H=1e-05, ofcM5qofdI_X=ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(2355 - 2305), 9325 - 9317), ISOsXl5B284v=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + chr(52) + chr(0b110100), 3047 - 3039), bH1Z5KrrdtVU=ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1101111) + '\060', ord("\x08")), BBZJFBkWNf0Q=None) -> MRK8Uzg2En3D[qRxF7OQ0y39T[kkSX4ccExqw4], qRxF7OQ0y39T[kkSX4ccExqw4]]:
if ISOsXl5B284v <= ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(49) + chr(0b110010), 8):
raise h0iXqtiKVeKg(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\xc1J\xb5\x01"\n\xc9\xc4\xb6h\x89\x07`\xaaxa?\x1f\x14k\x86&OZ\xee\x80\xf0\xa3_\xfe\xff\x13\x16\x82K\xfb\xc7\xca\xd5\xc6\xcc\x0f\xf3\x069\x03\xce\xd3\xe4;\x8e\x0e5\xafh$/\x1b@e\x9b-]\x0e\xed\x9d\xa2\xf7[\xfa\xf0AI\xdb\x0b'), chr(0b1100100) + '\x65' + '\x63' + chr(111) + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(0b1011010 + 0o32) + chr(0b1100110) + '\x2d' + chr(0b100000 + 0o30)))
xafqLlk3kkUe(ehTF8dweL_Oo.model, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7\x91\x1f\xf2=>\x08\xe8\xcb\xa0)\x92'), '\x64' + chr(0b1001011 + 0o32) + chr(0b1000011 + 0o40) + chr(111) + '\144' + chr(101))(chr(117) + '\164' + chr(102) + '\055' + '\x38'))()
zcNH1ym8cZBx = c2A0yzQpDQB3(ehTF8dweL_Oo._cuda_devices)
FtEIiAE6TnOw = ehTF8dweL_Oo.iterator(ehTF8dweL_Oo.train_data, shuffle=ehTF8dweL_Oo.shuffle)
mufmXH_BoNJ4 = A7kxV2FuX2_9(FtEIiAE6TnOw, zcNH1ym8cZBx)
K7upW6hPCM8G = l5DR0A5LiDJi.tqdm(mufmXH_BoNJ4, total=ISOsXl5B284v)
wGSMhE9DB7dV = []
eJKWkHA7qzlZ = []
sNA2io01QetG = 1000000000.0
if bH1Z5KrrdtVU:
xzFnmuaodTWn = (ofcM5qofdI_X - _cNvcHzqrk8H) / ISOsXl5B284v
else:
xzFnmuaodTWn = (ofcM5qofdI_X / _cNvcHzqrk8H) ** (1.0 / ISOsXl5B284v)
for (WVxHKyX45z_L, sgPM82g9dq1g) in YlkZvXL8qwsX(K7upW6hPCM8G):
if bH1Z5KrrdtVU:
qsH7cR0vdCyZ = _cNvcHzqrk8H + xzFnmuaodTWn * WVxHKyX45z_L
else:
qsH7cR0vdCyZ = _cNvcHzqrk8H * xzFnmuaodTWn ** WVxHKyX45z_L
for qRSYTto6pq42 in xafqLlk3kkUe(ehTF8dweL_Oo.optimizer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2\xc8]\xf4\x02\x08\x00\xd9\xce\xb18\x95'), chr(0b100110 + 0o76) + chr(0b0 + 0o145) + chr(0b1100011) + chr(0b1010101 + 0o32) + chr(0b10101 + 0o117) + chr(101))(chr(0b1110101) + chr(12345 - 12229) + chr(0b1100110) + '\055' + '\x38')):
qRSYTto6pq42[xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\xdb'), chr(100) + chr(7750 - 7649) + '\x63' + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(3581 - 3464) + '\164' + chr(0b111010 + 0o54) + chr(0b101101) + chr(56))] = qsH7cR0vdCyZ
xafqLlk3kkUe(ehTF8dweL_Oo.optimizer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc8\xcc]\xfa00\x15\xca\xc5'), chr(0b1110 + 0o126) + chr(101) + chr(99) + chr(111) + chr(3625 - 3525) + chr(0b1101 + 0o130))(chr(0b1110101) + '\164' + chr(337 - 235) + chr(0b101101) + chr(56)))()
YpO0BcZ6fMsf = ehTF8dweL_Oo.batch_loss(sgPM82g9dq1g, for_training=ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1819 - 1770), 44707 - 44699))
xafqLlk3kkUe(YpO0BcZ6fMsf, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0\xc8L\xfe\x186\x15\xcf'), chr(100) + chr(0b100110 + 0o77) + '\143' + chr(0b11100 + 0o123) + chr(7222 - 7122) + chr(1287 - 1186))('\x75' + '\164' + '\x66' + chr(0b101101) + chr(0b101000 + 0o20)))()
YpO0BcZ6fMsf = YpO0BcZ6fMsf.detach().cpu().N7j7ePTXzzI0()
if BBZJFBkWNf0Q is not None and (xafqLlk3kkUe(yhiZVkosCjBm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xdb\xdaA\xf4\x01'), '\x64' + '\145' + chr(3864 - 3765) + chr(0b1100110 + 0o11) + '\x64' + '\x65')(chr(131 - 14) + chr(0b110011 + 0o101) + '\146' + chr(0b100110 + 0o7) + chr(0b1000 + 0o60)))(YpO0BcZ6fMsf) or YpO0BcZ6fMsf > BBZJFBkWNf0Q * sNA2io01QetG):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\x9eg\xed\x1a4\x00\x9c\xcb\xa8\x12\x8d'), chr(100) + '\x65' + '\x63' + chr(0b10000 + 0o137) + chr(0b1100100) + chr(0b1100101))(chr(8784 - 8667) + '\164' + chr(0b1001 + 0o135) + chr(893 - 848) + chr(0b11010 + 0o36)))(f'Loss ({YpO0BcZ6fMsf}) exceeds stopping_factor * lowest recorded loss.')
break
xafqLlk3kkUe(ehTF8dweL_Oo, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0\xcc\\\xf6\x0e;\x02\xf4\xc6\xb6)\x82\x08%\xadxw'), chr(967 - 867) + chr(2068 - 1967) + chr(99) + chr(0b101100 + 0o103) + '\x64' + '\145')(chr(0b1011001 + 0o34) + '\x74' + '\146' + chr(0b101100 + 0o1) + '\070'))()
xafqLlk3kkUe(ehTF8dweL_Oo.optimizer, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xedZ\xd3\x1c\x16\x0f\xee\xc0\xb0+\xb3'), chr(0b1010011 + 0o21) + chr(0b1100101) + chr(99) + chr(0b101000 + 0o107) + '\144' + chr(0b10100 + 0o121))(chr(0b1110101) + chr(0b1110100) + chr(0b110101 + 0o61) + '\055' + '\070'))()
xafqLlk3kkUe(wGSMhE9DB7dV, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xd9_\xf0\x013'), chr(4567 - 4467) + chr(0b1100101) + chr(3507 - 3408) + chr(187 - 76) + chr(0b1100100) + '\x65')(chr(5043 - 4926) + '\x74' + chr(0b1100110) + chr(45) + chr(56)))(qsH7cR0vdCyZ)
xafqLlk3kkUe(eJKWkHA7qzlZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xd9_\xf0\x013'), chr(877 - 777) + chr(7027 - 6926) + '\x63' + chr(0b101011 + 0o104) + chr(0b1100100) + chr(0b1100101))('\165' + chr(6614 - 6498) + chr(2141 - 2039) + chr(953 - 908) + chr(2103 - 2047)))(YpO0BcZ6fMsf)
if YpO0BcZ6fMsf < sNA2io01QetG and WVxHKyX45z_L > ehT0Px3KOsy9('\060' + chr(0b101001 + 0o106) + chr(799 - 750) + chr(366 - 316), 8):
sNA2io01QetG = YpO0BcZ6fMsf
if WVxHKyX45z_L == ISOsXl5B284v:
break
return (wGSMhE9DB7dV, eJKWkHA7qzlZ)
|
allenai/allennlp
|
allennlp/commands/find_learning_rate.py
|
_smooth
|
def _smooth(values: List[float], beta: float) -> List[float]:
""" Exponential smoothing of values """
avg_value = 0.
smoothed = []
for i, value in enumerate(values):
avg_value = beta * avg_value + (1 - beta) * value
smoothed.append(avg_value / (1 - beta ** (i + 1)))
return smoothed
|
python
|
def _smooth(values: List[float], beta: float) -> List[float]:
""" Exponential smoothing of values """
avg_value = 0.
smoothed = []
for i, value in enumerate(values):
avg_value = beta * avg_value + (1 - beta) * value
smoothed.append(avg_value / (1 - beta ** (i + 1)))
return smoothed
|
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")",
"return",
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] |
Exponential smoothing of values
|
[
"Exponential",
"smoothing",
"of",
"values"
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/commands/find_learning_rate.py#L315-L322
|
train
|
Exponential smoothing of values
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(54) + chr(0b100 + 0o63), 47451 - 47443), ehT0Px3KOsy9(chr(2002 - 1954) + chr(111) + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(2003 - 1955) + chr(111) + chr(0b1000 + 0o53) + chr(542 - 494), 27794 - 27786), ehT0Px3KOsy9(chr(1168 - 1120) + chr(1592 - 1481) + chr(1193 - 1143) + chr(581 - 528) + chr(0b100000 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + '\061' + chr(0b101010 + 0o10), 610 - 602), ehT0Px3KOsy9('\x30' + chr(8525 - 8414) + chr(49) + '\x32' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 11926 - 11918), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110110) + chr(0b1101 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(10818 - 10707) + '\x32' + chr(2267 - 2216) + chr(55 - 0), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + '\x31' + chr(54) + chr(0b111 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(1060 - 1012) + chr(10251 - 10140) + chr(0b1100 + 0o47) + chr(562 - 511) + chr(573 - 521), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10376 - 10265) + '\x32' + '\066' + chr(0b10011 + 0o42), 39525 - 39517), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(53) + chr(0b110011), 27917 - 27909), ehT0Px3KOsy9(chr(1183 - 1135) + '\x6f' + chr(0b110001) + chr(0b110011), 63335 - 63327), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b101110 + 0o101) + '\x31' + '\067' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110110) + chr(572 - 517), 0o10), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + chr(0b1011 + 0o47) + chr(50) + chr(515 - 464), 0o10), ehT0Px3KOsy9(chr(48) + chr(9094 - 8983) + chr(655 - 605) + chr(0b110110) + chr(699 - 649), 0o10), ehT0Px3KOsy9(chr(813 - 765) + chr(111) + chr(50) + chr(0b110010) + chr(49), 0o10), ehT0Px3KOsy9(chr(1933 - 1885) + chr(0b101011 + 0o104) + chr(0b111 + 0o54) + '\x31' + chr(0b110000), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111110 + 0o61) + chr(0b110010) + chr(0b101110 + 0o5) + chr(50), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(2348 - 2295) + chr(50), 42345 - 42337), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110 + 0o54) + '\x31' + chr(0b11110 + 0o31), 0o10), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(2075 - 1964) + '\x32' + '\062', 8), ehT0Px3KOsy9(chr(0b110000) + chr(7732 - 7621) + '\061' + chr(0b110111) + chr(1762 - 1708), 0o10), ehT0Px3KOsy9(chr(1913 - 1865) + chr(0b110111 + 0o70) + '\063' + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1000101 + 0o52) + chr(0b11 + 0o57) + chr(51) + '\063', 20508 - 20500), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1578 - 1525) + chr(1383 - 1328), 12731 - 12723), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b1111 + 0o46) + chr(0b101100 + 0o10), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b111 + 0o52) + chr(50) + chr(840 - 788), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110000 + 0o2) + chr(0b101101 + 0o3) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o12) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9('\x30' + chr(7763 - 7652) + chr(49) + chr(128 - 76) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + '\x32' + '\061' + '\063', 58830 - 58822), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(111) + chr(0b110111) + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110111) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(50) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1766 - 1712) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101011 + 0o4) + '\x32' + '\060' + '\064', 57252 - 57244)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(3976 - 3865) + '\x35' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(0b1100100) + chr(0b1011 + 0o132))(chr(12455 - 12338) + chr(8397 - 8281) + chr(0b101011 + 0o73) + chr(0b100000 + 0o15) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PHBetMdASuIr(SPnCNu54H1db, FjcovgoHM1LG) -> qRxF7OQ0y39T[kkSX4ccExqw4]:
pyHgcdvMtUu9 = 0.0
RoDjEMKgJEcF = []
for (WVxHKyX45z_L, QmmgWUB13VCJ) in YlkZvXL8qwsX(SPnCNu54H1db):
pyHgcdvMtUu9 = FjcovgoHM1LG * pyHgcdvMtUu9 + (ehT0Px3KOsy9(chr(1600 - 1552) + chr(0b1101111) + chr(175 - 126), 8) - FjcovgoHM1LG) * QmmgWUB13VCJ
xafqLlk3kkUe(RoDjEMKgJEcF, xafqLlk3kkUe(SXOLrMavuUCe(b'\x96bh\xca\xe40'), '\x64' + '\145' + '\x63' + chr(111) + chr(0b1011100 + 0o10) + chr(3266 - 3165))('\x75' + chr(116) + '\x66' + chr(0b101101) + '\x38'))(pyHgcdvMtUu9 / (ehT0Px3KOsy9(chr(1794 - 1746) + '\x6f' + chr(0b100110 + 0o13), 8) - FjcovgoHM1LG ** (WVxHKyX45z_L + ehT0Px3KOsy9(chr(48) + chr(6696 - 6585) + chr(49), 8))))
return RoDjEMKgJEcF
|
allenai/allennlp
|
allennlp/modules/scalar_mix.py
|
ScalarMix.forward
|
def forward(self, tensors: List[torch.Tensor], # pylint: disable=arguments-differ
mask: torch.Tensor = None) -> torch.Tensor:
"""
Compute a weighted average of the ``tensors``. The input tensors an be any shape
with at least two dimensions, but must all be the same shape.
When ``do_layer_norm=True``, the ``mask`` is required input. If the ``tensors`` are
dimensioned ``(dim_0, ..., dim_{n-1}, dim_n)``, then the ``mask`` is dimensioned
``(dim_0, ..., dim_{n-1})``, as in the typical case with ``tensors`` of shape
``(batch_size, timesteps, dim)`` and ``mask`` of shape ``(batch_size, timesteps)``.
When ``do_layer_norm=False`` the ``mask`` is ignored.
"""
if len(tensors) != self.mixture_size:
raise ConfigurationError("{} tensors were passed, but the module was initialized to "
"mix {} tensors.".format(len(tensors), self.mixture_size))
def _do_layer_norm(tensor, broadcast_mask, num_elements_not_masked):
tensor_masked = tensor * broadcast_mask
mean = torch.sum(tensor_masked) / num_elements_not_masked
variance = torch.sum(((tensor_masked - mean) * broadcast_mask)**2) / num_elements_not_masked
return (tensor - mean) / torch.sqrt(variance + 1E-12)
normed_weights = torch.nn.functional.softmax(torch.cat([parameter for parameter
in self.scalar_parameters]), dim=0)
normed_weights = torch.split(normed_weights, split_size_or_sections=1)
if not self.do_layer_norm:
pieces = []
for weight, tensor in zip(normed_weights, tensors):
pieces.append(weight * tensor)
return self.gamma * sum(pieces)
else:
mask_float = mask.float()
broadcast_mask = mask_float.unsqueeze(-1)
input_dim = tensors[0].size(-1)
num_elements_not_masked = torch.sum(mask_float) * input_dim
pieces = []
for weight, tensor in zip(normed_weights, tensors):
pieces.append(weight * _do_layer_norm(tensor,
broadcast_mask, num_elements_not_masked))
return self.gamma * sum(pieces)
|
python
|
def forward(self, tensors: List[torch.Tensor], # pylint: disable=arguments-differ
mask: torch.Tensor = None) -> torch.Tensor:
"""
Compute a weighted average of the ``tensors``. The input tensors an be any shape
with at least two dimensions, but must all be the same shape.
When ``do_layer_norm=True``, the ``mask`` is required input. If the ``tensors`` are
dimensioned ``(dim_0, ..., dim_{n-1}, dim_n)``, then the ``mask`` is dimensioned
``(dim_0, ..., dim_{n-1})``, as in the typical case with ``tensors`` of shape
``(batch_size, timesteps, dim)`` and ``mask`` of shape ``(batch_size, timesteps)``.
When ``do_layer_norm=False`` the ``mask`` is ignored.
"""
if len(tensors) != self.mixture_size:
raise ConfigurationError("{} tensors were passed, but the module was initialized to "
"mix {} tensors.".format(len(tensors), self.mixture_size))
def _do_layer_norm(tensor, broadcast_mask, num_elements_not_masked):
tensor_masked = tensor * broadcast_mask
mean = torch.sum(tensor_masked) / num_elements_not_masked
variance = torch.sum(((tensor_masked - mean) * broadcast_mask)**2) / num_elements_not_masked
return (tensor - mean) / torch.sqrt(variance + 1E-12)
normed_weights = torch.nn.functional.softmax(torch.cat([parameter for parameter
in self.scalar_parameters]), dim=0)
normed_weights = torch.split(normed_weights, split_size_or_sections=1)
if not self.do_layer_norm:
pieces = []
for weight, tensor in zip(normed_weights, tensors):
pieces.append(weight * tensor)
return self.gamma * sum(pieces)
else:
mask_float = mask.float()
broadcast_mask = mask_float.unsqueeze(-1)
input_dim = tensors[0].size(-1)
num_elements_not_masked = torch.sum(mask_float) * input_dim
pieces = []
for weight, tensor in zip(normed_weights, tensors):
pieces.append(weight * _do_layer_norm(tensor,
broadcast_mask, num_elements_not_masked))
return self.gamma * sum(pieces)
|
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Compute a weighted average of the ``tensors``. The input tensors an be any shape
with at least two dimensions, but must all be the same shape.
When ``do_layer_norm=True``, the ``mask`` is required input. If the ``tensors`` are
dimensioned ``(dim_0, ..., dim_{n-1}, dim_n)``, then the ``mask`` is dimensioned
``(dim_0, ..., dim_{n-1})``, as in the typical case with ``tensors`` of shape
``(batch_size, timesteps, dim)`` and ``mask`` of shape ``(batch_size, timesteps)``.
When ``do_layer_norm=False`` the ``mask`` is ignored.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/scalar_mix.py#L38-L81
|
train
|
Computes the weighted average of the input tensors.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(277 - 228) + chr(0b110111) + chr(0b11101 + 0o25), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(2302 - 2252) + '\066', 13964 - 13956), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(10002 - 9891) + chr(0b100110 + 0o12), 48750 - 48742), ehT0Px3KOsy9(chr(78 - 30) + chr(111) + chr(0b110000 + 0o2) + chr(0b110110) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b110100) + '\x30', 0o10), ehT0Px3KOsy9(chr(443 - 395) + '\x6f' + chr(51) + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(49) + chr(0b100101 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + '\x31' + '\061' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\060' + chr(0b101100 + 0o13), 46448 - 46440), ehT0Px3KOsy9('\x30' + '\157' + chr(51) + chr(1060 - 1007) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b1101111) + '\x33' + chr(1394 - 1343) + chr(0b110110), 21996 - 21988), ehT0Px3KOsy9(chr(107 - 59) + chr(0b1101111) + '\063' + chr(0b100 + 0o55) + chr(2296 - 2241), 1069 - 1061), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(50) + chr(0b110011) + chr(502 - 450), 32744 - 32736), ehT0Px3KOsy9('\x30' + chr(111) + chr(1513 - 1462) + '\x34' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(9537 - 9426) + chr(241 - 192) + chr(51) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(0b101 + 0o54) + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(48) + chr(0b11110 + 0o25), 6722 - 6714), ehT0Px3KOsy9(chr(2053 - 2005) + chr(0b110110 + 0o71) + chr(50) + chr(2234 - 2186), 0o10), ehT0Px3KOsy9(chr(751 - 703) + '\x6f' + '\x32' + chr(665 - 611), 60294 - 60286), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(1709 - 1659) + '\x32' + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(49) + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + '\x31' + chr(54), 9410 - 9402), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\061' + chr(0b110010 + 0o0) + '\060', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o42) + chr(52) + chr(0b10010 + 0o40), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011 + 0o0) + chr(49) + chr(1568 - 1519), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(1271 - 1216) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(55) + chr(746 - 697), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o56) + '\062' + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + chr(0b110011) + '\062' + '\x36', 8), ehT0Px3KOsy9(chr(1954 - 1906) + '\x6f' + '\061' + chr(1501 - 1452) + chr(1008 - 954), 8), ehT0Px3KOsy9(chr(793 - 745) + chr(0b1011101 + 0o22) + chr(0b1011 + 0o47) + chr(0b110100) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\x34' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\x37' + chr(55), 0b1000), ehT0Px3KOsy9(chr(704 - 656) + '\157' + chr(49) + '\067' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100011 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + chr(54) + '\x34', 41546 - 41538), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b0 + 0o157) + chr(0b110010) + chr(0b10000 + 0o42) + chr(0b1000 + 0o52), 11941 - 11933), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(154 - 43) + chr(0b110010) + chr(54) + chr(0b100010 + 0o20), 14738 - 14730)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'T'), chr(2128 - 2028) + '\x65' + chr(8007 - 7908) + chr(0b1101111) + '\144' + chr(101))(chr(117) + chr(0b1101000 + 0o14) + chr(0b11 + 0o143) + '\x2d' + chr(0b101101 + 0o13)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, Tyy4rche81dW, Iz1jSgUKZDvt=None) -> xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'.\xb3n\xc7\xcf\xb3'), chr(100) + '\145' + chr(99) + '\157' + '\144' + chr(9651 - 9550))(chr(0b1110101) + '\164' + chr(2523 - 2421) + chr(45) + '\070')):
if c2A0yzQpDQB3(Tyy4rche81dW) != xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xbfx\xc0\xd5\xb3o\x144\x86\xa4\xaa'), '\144' + chr(101) + chr(99) + '\x6f' + chr(100) + '\x65')(chr(0b1110101) + chr(116) + chr(102) + chr(0b101000 + 0o5) + chr(0b100010 + 0o26))):
raise h0iXqtiKVeKg(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x01\xab \xc0\xc5\xafy$5\x9c\xfe\xb8\xf9\x96\x7fz;"ce\xf6\xe8bp\xc0\xbc\x8b\x99\xe5\xbe+\x87O\r\x1b\x0ekQ\xb2\xc5\x1b\xa5 \xdd\xce\xa8~"&\x83\xb7\xb5\xf9\x80:.$c}\x7f\xeb\xac5-\x82\xbd\x9a\xd7\xe2\xb9<\xd4\x0c'), '\x64' + '\145' + '\x63' + chr(0b1101111) + chr(4041 - 3941) + chr(0b1100101))(chr(117) + chr(116) + chr(0b1100011 + 0o3) + '\055' + chr(0b110101 + 0o3)), xafqLlk3kkUe(SXOLrMavuUCe(b',\xe2r\xdb\xe8\xa0Yx\x17\x9f\xbb\xa5'), chr(0b1011101 + 0o7) + chr(0b100111 + 0o76) + chr(4816 - 4717) + chr(111) + '\144' + chr(0b1000110 + 0o37))('\165' + chr(0b1110100) + '\146' + chr(0b101101) + chr(0b111000)))(c2A0yzQpDQB3(Tyy4rche81dW), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x17\xbfx\xc0\xd5\xb3o\x144\x86\xa4\xaa'), chr(0b11111 + 0o105) + chr(101) + '\x63' + chr(0b1101111) + chr(100) + chr(0b11100 + 0o111))('\x75' + chr(10236 - 10120) + '\146' + chr(0b100100 + 0o11) + chr(0b111000)))))
def fPHC9EXKYqJh(LK3cpXJU3UM0, gYBeoyDjK2Lq, kn6xZw1P96Lg):
v2b2JYrbnqag = LK3cpXJU3UM0 * gYBeoyDjK2Lq
aJhItC_Vawlw = cEkFpYktkSeK.xkxBmo49x2An(v2b2JYrbnqag) / kn6xZw1P96Lg
nVKbP5sF7181 = cEkFpYktkSeK.xkxBmo49x2An(((v2b2JYrbnqag - aJhItC_Vawlw) * gYBeoyDjK2Lq) ** ehT0Px3KOsy9(chr(1127 - 1079) + chr(111) + chr(0b110010), 0o10)) / kn6xZw1P96Lg
return (LK3cpXJU3UM0 - aJhItC_Vawlw) / xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\t\xa7r\xc0'), chr(100) + chr(0b1100101) + '\143' + chr(111) + '\x64' + '\145')(chr(0b1001000 + 0o55) + '\164' + '\146' + '\055' + chr(0b100 + 0o64)))(nVKbP5sF7181 + 1e-12)
cK6M_74arNot = cEkFpYktkSeK.nn.functional.softmax(cEkFpYktkSeK.cat([Sur8CJUVRGCp for Sur8CJUVRGCp in oVre8I6UXc3b.scalar_parameters]), dim=ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8))
cK6M_74arNot = cEkFpYktkSeK.split(cK6M_74arNot, split_size_or_sections=ehT0Px3KOsy9(chr(839 - 791) + '\x6f' + '\x31', 0o10))
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1e\xb9_\xd8\xc1\xb8o9\x18\x81\xb1\xbd\xf1'), '\x64' + chr(9212 - 9111) + '\x63' + chr(111) + chr(0b111011 + 0o51) + '\x65')('\165' + chr(0b1110100) + chr(7268 - 7166) + chr(0b101101) + chr(438 - 382))):
X3b3u1PDVdmt = []
for (C0mVSPj6WjvB, LK3cpXJU3UM0) in pZ0NK2y6HRbn(cK6M_74arNot, Tyy4rche81dW):
xafqLlk3kkUe(X3b3u1PDVdmt, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xa6p\xd1\xce\xa5'), chr(0b1001000 + 0o34) + chr(5238 - 5137) + chr(0b1100011) + chr(2610 - 2499) + chr(0b1011010 + 0o12) + '\145')(chr(0b101101 + 0o110) + '\x74' + chr(3406 - 3304) + '\x2d' + '\x38'))(C0mVSPj6WjvB * LK3cpXJU3UM0)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xb7m\xd9\xc1'), chr(2057 - 1957) + chr(0b100111 + 0o76) + chr(0b1100011) + chr(111) + chr(100) + chr(0b10001 + 0o124))(chr(0b1110101) + chr(6621 - 6505) + chr(0b1100110) + chr(45) + chr(56))) * xkxBmo49x2An(X3b3u1PDVdmt)
else:
SC4D8nPYu7zQ = Iz1jSgUKZDvt.float()
gYBeoyDjK2Lq = SC4D8nPYu7zQ.unsqueeze(-ehT0Px3KOsy9(chr(1765 - 1717) + chr(0b101000 + 0o107) + chr(2016 - 1967), 8))
O0Pt4_FWG7IN = Tyy4rche81dW[ehT0Px3KOsy9('\060' + chr(0b10011 + 0o134) + chr(0b11100 + 0o24), 8)].NLcc3BCJnQka(-ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8))
kn6xZw1P96Lg = cEkFpYktkSeK.xkxBmo49x2An(SC4D8nPYu7zQ) * O0Pt4_FWG7IN
X3b3u1PDVdmt = []
for (C0mVSPj6WjvB, LK3cpXJU3UM0) in pZ0NK2y6HRbn(cK6M_74arNot, Tyy4rche81dW):
xafqLlk3kkUe(X3b3u1PDVdmt, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1b\xa6p\xd1\xce\xa5'), '\144' + chr(0b1100101) + '\x63' + '\157' + chr(7324 - 7224) + chr(101))('\x75' + chr(0b1110100 + 0o0) + '\x66' + chr(45) + chr(56)))(C0mVSPj6WjvB * fPHC9EXKYqJh(LK3cpXJU3UM0, gYBeoyDjK2Lq, kn6xZw1P96Lg))
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xb7m\xd9\xc1'), chr(100) + '\145' + chr(0b100110 + 0o75) + chr(9655 - 9544) + chr(100) + chr(101))(chr(0b1110101) + chr(1123 - 1007) + chr(0b1001111 + 0o27) + '\x2d' + chr(0b110001 + 0o7))) * xkxBmo49x2An(X3b3u1PDVdmt)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
predicate_with_side_args
|
def predicate_with_side_args(side_arguments: List[str]) -> Callable: # pylint: disable=invalid-name
"""
Like :func:`predicate`, but used when some of the arguments to the function are meant to be
provided by the decoder or other state, instead of from the language. For example, you might
want to have a function use the decoder's attention over some input text when a terminal was
predicted. That attention won't show up in the language productions. Use this decorator, and
pass in the required state to :func:`DomainLanguage.execute_action_sequence`, if you need to
ignore some arguments when doing grammar induction.
In order for this to work out, the side arguments `must` be after any non-side arguments. This
is because we use ``*args`` to pass the non-side arguments, and ``**kwargs`` to pass the side
arguments, and python requires that ``*args`` be before ``**kwargs``.
"""
def decorator(function: Callable) -> Callable:
setattr(function, '_side_arguments', side_arguments)
return predicate(function)
return decorator
|
python
|
def predicate_with_side_args(side_arguments: List[str]) -> Callable: # pylint: disable=invalid-name
"""
Like :func:`predicate`, but used when some of the arguments to the function are meant to be
provided by the decoder or other state, instead of from the language. For example, you might
want to have a function use the decoder's attention over some input text when a terminal was
predicted. That attention won't show up in the language productions. Use this decorator, and
pass in the required state to :func:`DomainLanguage.execute_action_sequence`, if you need to
ignore some arguments when doing grammar induction.
In order for this to work out, the side arguments `must` be after any non-side arguments. This
is because we use ``*args`` to pass the non-side arguments, and ``**kwargs`` to pass the side
arguments, and python requires that ``*args`` be before ``**kwargs``.
"""
def decorator(function: Callable) -> Callable:
setattr(function, '_side_arguments', side_arguments)
return predicate(function)
return decorator
|
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"side_arguments",
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"return",
"predicate",
"(",
"function",
")",
"return",
"decorator"
] |
Like :func:`predicate`, but used when some of the arguments to the function are meant to be
provided by the decoder or other state, instead of from the language. For example, you might
want to have a function use the decoder's attention over some input text when a terminal was
predicted. That attention won't show up in the language productions. Use this decorator, and
pass in the required state to :func:`DomainLanguage.execute_action_sequence`, if you need to
ignore some arguments when doing grammar induction.
In order for this to work out, the side arguments `must` be after any non-side arguments. This
is because we use ``*args`` to pass the non-side arguments, and ``**kwargs`` to pass the side
arguments, and python requires that ``*args`` be before ``**kwargs``.
|
[
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"induction",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L182-L198
|
train
|
Decorator that returns a function that accepts side arguments.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(759 - 711), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1771 - 1660) + chr(0b110001) + chr(50) + chr(451 - 398), 14178 - 14170), ehT0Px3KOsy9('\060' + chr(111) + chr(49) + '\066' + chr(0b110111), 8557 - 8549), ehT0Px3KOsy9(chr(48) + chr(0b101001 + 0o106) + '\062' + '\067' + '\065', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(0b110000 + 0o5) + '\x32', 14965 - 14957), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(2348 - 2237) + chr(51) + chr(2461 - 2407), 62365 - 62357), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(51) + chr(0b110100), 53489 - 53481), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(396 - 343) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(375 - 264) + '\x33' + chr(54) + chr(49), 27180 - 27172), ehT0Px3KOsy9('\060' + '\157' + chr(1124 - 1074) + chr(54), 0o10), ehT0Px3KOsy9(chr(1247 - 1199) + chr(442 - 331) + chr(1243 - 1192) + chr(55) + chr(0b110001), 53090 - 53082), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(51) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1111 + 0o44) + chr(0b11000 + 0o36) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(54) + chr(49), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b100110 + 0o111) + chr(0b110001 + 0o2) + '\x31' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11989 - 11878) + chr(596 - 546) + chr(910 - 855) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(1573 - 1525) + chr(0b1101111) + chr(2111 - 2058) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101110 + 0o1) + chr(0b110001) + '\060' + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1100110 + 0o11) + chr(50) + '\066' + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(1849 - 1799) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x33' + '\067' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(12202 - 12091) + chr(2337 - 2288) + chr(617 - 568) + '\061', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(11078 - 10967) + chr(0b110001) + chr(2564 - 2510) + chr(51), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(359 - 310) + chr(2255 - 2201) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(5311 - 5200) + '\061' + '\063' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(127 - 79) + chr(1932 - 1821) + '\062' + chr(0b10001 + 0o42) + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x32' + chr(1481 - 1432) + chr(0b10001 + 0o37), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b100011 + 0o114) + '\063' + chr(51), 8), ehT0Px3KOsy9('\x30' + chr(5599 - 5488) + chr(1512 - 1463) + chr(2358 - 2309), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(635 - 524) + chr(778 - 728) + chr(1451 - 1402) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o30) + chr(0b10000 + 0o42) + chr(0b1010 + 0o52), 22249 - 22241), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1101 + 0o47) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b1111 + 0o47) + chr(1312 - 1262), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\064' + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2134 - 2085) + '\065' + chr(2653 - 2601), 31289 - 31281), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(1531 - 1479) + chr(1963 - 1912), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2034 - 1985) + chr(51) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(10799 - 10688) + chr(51) + chr(50) + chr(50), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'&'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(100) + chr(0b100100 + 0o101))(chr(117) + '\164' + chr(436 - 334) + chr(0b101101) + chr(2894 - 2838)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def wLCZQubWYE_S(Z33WzR1MnG4V) -> TPYMKCdTAycN:
def aInxBLSrGyiI(bBC93MgSHzUB) -> TPYMKCdTAycN:
t0rOMsrOC7R_(bBC93MgSHzUB, xafqLlk3kkUe(SXOLrMavuUCe(b'W&\x1e\xd9\xcfA}\x1d\x96c\x94~\x9f\xc5\xbd'), chr(9237 - 9137) + chr(4144 - 4043) + chr(99) + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)), Z33WzR1MnG4V)
return xvl4O0XhF8_e(bBC93MgSHzUB)
return aInxBLSrGyiI
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
nltk_tree_to_logical_form
|
def nltk_tree_to_logical_form(tree: Tree) -> str:
"""
Given an ``nltk.Tree`` representing the syntax tree that generates a logical form, this method
produces the actual (lisp-like) logical form, with all of the non-terminal symbols converted
into the correct number of parentheses.
This is used in the logic that converts action sequences back into logical forms. It's very
unlikely that you will need this anywhere else.
"""
# nltk.Tree actually inherits from `list`, so you use `len()` to get the number of children.
# We're going to be explicit about checking length, instead of using `if tree:`, just to avoid
# any funny business nltk might have done (e.g., it's really odd if `if tree:` evaluates to
# `False` if there's a single leaf node with no children).
if len(tree) == 0: # pylint: disable=len-as-condition
return tree.label()
if len(tree) == 1:
return tree[0].label()
return '(' + ' '.join(nltk_tree_to_logical_form(child) for child in tree) + ')'
|
python
|
def nltk_tree_to_logical_form(tree: Tree) -> str:
"""
Given an ``nltk.Tree`` representing the syntax tree that generates a logical form, this method
produces the actual (lisp-like) logical form, with all of the non-terminal symbols converted
into the correct number of parentheses.
This is used in the logic that converts action sequences back into logical forms. It's very
unlikely that you will need this anywhere else.
"""
# nltk.Tree actually inherits from `list`, so you use `len()` to get the number of children.
# We're going to be explicit about checking length, instead of using `if tree:`, just to avoid
# any funny business nltk might have done (e.g., it's really odd if `if tree:` evaluates to
# `False` if there's a single leaf node with no children).
if len(tree) == 0: # pylint: disable=len-as-condition
return tree.label()
if len(tree) == 1:
return tree[0].label()
return '(' + ' '.join(nltk_tree_to_logical_form(child) for child in tree) + ')'
|
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"# We're going to be explicit about checking length, instead of using `if tree:`, just to avoid",
"# any funny business nltk might have done (e.g., it's really odd if `if tree:` evaluates to",
"# `False` if there's a single leaf node with no children).",
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"(",
"child",
")",
"for",
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"+",
"')'"
] |
Given an ``nltk.Tree`` representing the syntax tree that generates a logical form, this method
produces the actual (lisp-like) logical form, with all of the non-terminal symbols converted
into the correct number of parentheses.
This is used in the logic that converts action sequences back into logical forms. It's very
unlikely that you will need this anywhere else.
|
[
"Given",
"an",
"nltk",
".",
"Tree",
"representing",
"the",
"syntax",
"tree",
"that",
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"a",
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"converted",
"into",
"the",
"correct",
"number",
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"parentheses",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L201-L218
|
train
|
Converts a nltk. Tree into a logical form.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + '\062' + chr(0b1 + 0o66) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1586 - 1538) + chr(111) + chr(51) + chr(1964 - 1913) + chr(2212 - 2164), 0o10), ehT0Px3KOsy9(chr(1325 - 1277) + '\157' + '\063' + chr(0b10101 + 0o42) + chr(0b11011 + 0o26), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(2726 - 2615) + chr(0b110001) + chr(0b110001) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1936 - 1888) + '\x6f' + chr(0b110001) + '\x33' + '\064', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10110 + 0o33) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(50) + chr(0b10011 + 0o43) + chr(650 - 595), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1606 - 1555) + '\x36' + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + '\063' + chr(0b110110) + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(2565 - 2454) + chr(2185 - 2135) + chr(49) + '\063', 0o10), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + '\061' + '\061' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(932 - 879) + chr(0b110001), 65327 - 65319), ehT0Px3KOsy9(chr(48) + chr(0b1100011 + 0o14) + chr(0b101100 + 0o6) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001 + 0o0) + '\x34' + chr(2218 - 2168), 0o10), ehT0Px3KOsy9(chr(228 - 180) + chr(0b1101111) + '\x31' + chr(0b0 + 0o61) + chr(53), 19016 - 19008), ehT0Px3KOsy9(chr(0b110000) + chr(3965 - 3854) + '\062' + chr(0b110000) + chr(0b110000), 46418 - 46410), ehT0Px3KOsy9(chr(2159 - 2111) + chr(10163 - 10052) + '\x33' + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(911 - 863) + chr(2383 - 2272) + chr(0b100 + 0o57) + chr(0b10100 + 0o35) + chr(48), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + chr(0b101100 + 0o7) + chr(0b1010 + 0o50), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\x36' + chr(0b1 + 0o63), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(0b110100) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b101110 + 0o5) + chr(921 - 867), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\061' + chr(0b101110 + 0o5), 0o10), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + chr(0b110010) + chr(985 - 935), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2028 - 1978) + chr(0b1111 + 0o42) + chr(0b10011 + 0o36), 0o10), ehT0Px3KOsy9(chr(175 - 127) + '\x6f' + '\061' + '\067' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(52) + chr(588 - 537), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b101100 + 0o7) + '\x35', 2630 - 2622), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11101 + 0o25) + '\064' + chr(0b101100 + 0o4), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(0b110010) + chr(0b110000) + '\067', 54832 - 54824), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + '\x37' + chr(55), 65196 - 65188), ehT0Px3KOsy9(chr(2030 - 1982) + '\157' + chr(49) + '\064' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1669 - 1618) + chr(0b1110 + 0o45) + '\x31', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + chr(1343 - 1295) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b100111 + 0o17) + chr(2623 - 2568), ord("\x08")), ehT0Px3KOsy9(chr(1313 - 1265) + chr(11355 - 11244) + '\x31' + chr(0b110110), 26236 - 26228), ehT0Px3KOsy9(chr(1258 - 1210) + '\x6f' + chr(51) + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + chr(0b110011) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1811 - 1760) + chr(0b110001 + 0o6) + '\x34', 53042 - 53034), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(1997 - 1946) + '\x32' + chr(0b110110), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(0b11011 + 0o32) + chr(0b10101 + 0o33), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x90'), '\144' + '\145' + chr(8399 - 8300) + chr(111) + '\144' + chr(0b1100101))('\165' + '\x74' + chr(102) + chr(45) + chr(1577 - 1521)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def go8qkK5qcgxB(ErHgKhTO5Wfb) -> M8_cKLkHVB2V:
if c2A0yzQpDQB3(ErHgKhTO5Wfb) == ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(2068 - 2020), 0o10):
return xafqLlk3kkUe(ErHgKhTO5Wfb, xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x8a\xac\x00\x10M\xfb\x85\xb0\xbbw\xd1'), chr(0b1001010 + 0o32) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(9122 - 9021))(chr(0b1110101) + chr(116) + chr(0b1010 + 0o134) + '\055' + '\070'))()
if c2A0yzQpDQB3(ErHgKhTO5Wfb) == ehT0Px3KOsy9(chr(48) + chr(1696 - 1585) + '\x31', ord("\x08")):
return xafqLlk3kkUe(ErHgKhTO5Wfb[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110000), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xea\x8a\xac\x00\x10M\xfb\x85\xb0\xbbw\xd1'), chr(100) + '\x65' + '\143' + chr(0b1101111) + chr(1914 - 1814) + '\145')(chr(6271 - 6154) + chr(0b1110100) + chr(6098 - 5996) + '\055' + chr(0b101100 + 0o14)))()
return xafqLlk3kkUe(SXOLrMavuUCe(b'\x96'), chr(146 - 46) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(0b1011111 + 0o5) + '\x65')(chr(117) + chr(0b1001101 + 0o47) + chr(102) + chr(0b101101) + '\070') + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x9e'), '\144' + chr(101) + chr(0b111001 + 0o52) + chr(111) + chr(100) + '\x65')(chr(0b110100 + 0o101) + '\x74' + chr(102) + chr(1942 - 1897) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe1\xb7\xae\x17&\x7f\xe1\xbe\x9a\xfa\x07\xef'), chr(2345 - 2245) + '\145' + chr(6789 - 6690) + chr(111) + chr(0b1100100) + '\x65')(chr(0b110111 + 0o76) + chr(0b1110100) + '\146' + chr(1271 - 1226) + chr(56)))((go8qkK5qcgxB(X_w6uktosk4i) for X_w6uktosk4i in ErHgKhTO5Wfb)) + xafqLlk3kkUe(SXOLrMavuUCe(b'\x97'), '\x64' + chr(7213 - 7112) + chr(0b1100011) + chr(0b1010101 + 0o32) + '\x64' + '\145')(chr(8885 - 8768) + '\x74' + '\146' + chr(0b100 + 0o51) + chr(0b111000))
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
PredicateType.get_type
|
def get_type(type_: Type) -> 'PredicateType':
"""
Converts a python ``Type`` (as you might get from a type annotation) into a
``PredicateType``. If the ``Type`` is callable, this will return a ``FunctionType``;
otherwise, it will return a ``BasicType``.
``BasicTypes`` have a single ``name`` parameter - we typically get this from
``type_.__name__``. This doesn't work for generic types (like ``List[str]``), so we handle
those specially, so that the ``name`` for the ``BasicType`` remains ``List[str]``, as you
would expect.
"""
if is_callable(type_):
callable_args = type_.__args__
argument_types = [PredicateType.get_type(t) for t in callable_args[:-1]]
return_type = PredicateType.get_type(callable_args[-1])
return FunctionType(argument_types, return_type)
elif is_generic(type_):
# This is something like List[int]. type_.__name__ doesn't do the right thing (and
# crashes in python 3.7), so we need to do some magic here.
name = get_generic_name(type_)
else:
name = type_.__name__
return BasicType(name)
|
python
|
def get_type(type_: Type) -> 'PredicateType':
"""
Converts a python ``Type`` (as you might get from a type annotation) into a
``PredicateType``. If the ``Type`` is callable, this will return a ``FunctionType``;
otherwise, it will return a ``BasicType``.
``BasicTypes`` have a single ``name`` parameter - we typically get this from
``type_.__name__``. This doesn't work for generic types (like ``List[str]``), so we handle
those specially, so that the ``name`` for the ``BasicType`` remains ``List[str]``, as you
would expect.
"""
if is_callable(type_):
callable_args = type_.__args__
argument_types = [PredicateType.get_type(t) for t in callable_args[:-1]]
return_type = PredicateType.get_type(callable_args[-1])
return FunctionType(argument_types, return_type)
elif is_generic(type_):
# This is something like List[int]. type_.__name__ doesn't do the right thing (and
# crashes in python 3.7), so we need to do some magic here.
name = get_generic_name(type_)
else:
name = type_.__name__
return BasicType(name)
|
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] |
Converts a python ``Type`` (as you might get from a type annotation) into a
``PredicateType``. If the ``Type`` is callable, this will return a ``FunctionType``;
otherwise, it will return a ``BasicType``.
``BasicTypes`` have a single ``name`` parameter - we typically get this from
``type_.__name__``. This doesn't work for generic types (like ``List[str]``), so we handle
those specially, so that the ``name`` for the ``BasicType`` remains ``List[str]``, as you
would expect.
|
[
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L60-L82
|
train
|
Converts a python type annotation into a predicate type.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(1388 - 1339) + chr(468 - 417) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1662 - 1614) + chr(8581 - 8470) + '\x34' + chr(0b100000 + 0o21), 1358 - 1350), ehT0Px3KOsy9(chr(1914 - 1866) + chr(11685 - 11574) + '\x35' + chr(0b110000), 49185 - 49177), ehT0Px3KOsy9('\060' + '\157' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + '\x31' + chr(0b10011 + 0o36) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + '\063' + '\060' + '\061', 63318 - 63310), ehT0Px3KOsy9('\060' + chr(9496 - 9385) + chr(50) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(424 - 313) + '\066', 0o10), ehT0Px3KOsy9(chr(740 - 692) + '\157' + chr(49) + chr(0b110000 + 0o3) + chr(0b10100 + 0o37), 21570 - 21562), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\066' + '\x30', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b11110 + 0o24) + chr(49) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110101) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(11658 - 11547) + '\063' + '\065' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b100 + 0o54) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(278 - 230) + chr(0b100011 + 0o114) + chr(0b100011 + 0o22) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10001 + 0o41) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10111 + 0o32) + '\062' + chr(0b100011 + 0o15), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1110 + 0o141) + '\061' + '\x30' + '\x37', 31352 - 31344), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101 + 0o142) + '\x37' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(679 - 631) + '\x6f' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b10110 + 0o131) + chr(0b110001) + chr(958 - 907) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + '\061' + '\x32' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(906 - 856) + chr(1439 - 1389) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(111) + chr(0b110011) + '\x36' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b10 + 0o155) + chr(1691 - 1640) + chr(2305 - 2250) + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b100010 + 0o22) + '\065', 34007 - 33999), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\067' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(7749 - 7638) + chr(0b1111 + 0o42) + chr(0b110101) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + chr(0b110001) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x32' + '\060', 18273 - 18265), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(52) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + chr(0b110010) + chr(0b110010 + 0o1) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1181 - 1130) + chr(0b110111) + '\x30', 63325 - 63317), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(52) + chr(1715 - 1663), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1010110 + 0o31) + chr(0b110011) + '\x32' + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + '\x33' + chr(0b1001 + 0o52) + '\060', 58770 - 58762), ehT0Px3KOsy9('\060' + chr(12168 - 12057) + chr(2080 - 2025) + chr(0b10001 + 0o43), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001000 + 0o47) + '\x31', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(0b110001) + '\061', 33883 - 33875)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1390 - 1342) + chr(111) + chr(0b110101) + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b't'), chr(175 - 75) + chr(9413 - 9312) + chr(0b1100001 + 0o2) + chr(0b1101111) + chr(0b1100100) + chr(0b1100011 + 0o2))('\x75' + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def PJ7aH1CeEM15(wglhj4WQZuCT) -> xafqLlk3kkUe(SXOLrMavuUCe(b'\nSMd"p\xa0\xd4c\x0fI\xfe\x8f'), '\x64' + chr(0b1011101 + 0o10) + chr(99) + chr(0b1100111 + 0o10) + chr(100) + '\x65')('\165' + chr(7940 - 7824) + chr(0b111110 + 0o50) + '\x2d' + '\x38'):
if P8ntWBOpJiWF(wglhj4WQZuCT):
vF49VyBTvgCh = wglhj4WQZuCT.__args__
DjtzGpnspIKq = [YPmBFLkEKJVV.get_type(YeT3l7JgTbWR) for YeT3l7JgTbWR in vF49VyBTvgCh[:-ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2116 - 2067), 8)]]
ELL59KGwZKj3 = YPmBFLkEKJVV.get_type(vF49VyBTvgCh[-ehT0Px3KOsy9(chr(48) + chr(11237 - 11126) + '\x31', 8)])
return ric04wOk_EeU(DjtzGpnspIKq, ELL59KGwZKj3)
elif JCzIq1k7H5pm(wglhj4WQZuCT):
AIvJRzLdDfgF = NdiTqXLlgAl_(wglhj4WQZuCT)
else:
AIvJRzLdDfgF = wglhj4WQZuCT.Gbej4oZqKLA6
return Z_EeVpF1A9Qj(AIvJRzLdDfgF)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.execute
|
def execute(self, logical_form: str):
"""Executes a logical form, using whatever predicates you have defined."""
if not hasattr(self, '_functions'):
raise RuntimeError("You must call super().__init__() in your Language constructor")
logical_form = logical_form.replace(",", " ")
expression = util.lisp_to_nested_expression(logical_form)
return self._execute_expression(expression)
|
python
|
def execute(self, logical_form: str):
"""Executes a logical form, using whatever predicates you have defined."""
if not hasattr(self, '_functions'):
raise RuntimeError("You must call super().__init__() in your Language constructor")
logical_form = logical_form.replace(",", " ")
expression = util.lisp_to_nested_expression(logical_form)
return self._execute_expression(expression)
|
[
"def",
"execute",
"(",
"self",
",",
"logical_form",
":",
"str",
")",
":",
"if",
"not",
"hasattr",
"(",
"self",
",",
"'_functions'",
")",
":",
"raise",
"RuntimeError",
"(",
"\"You must call super().__init__() in your Language constructor\"",
")",
"logical_form",
"=",
"logical_form",
".",
"replace",
"(",
"\",\"",
",",
"\" \"",
")",
"expression",
"=",
"util",
".",
"lisp_to_nested_expression",
"(",
"logical_form",
")",
"return",
"self",
".",
"_execute_expression",
"(",
"expression",
")"
] |
Executes a logical form, using whatever predicates you have defined.
|
[
"Executes",
"a",
"logical",
"form",
"using",
"whatever",
"predicates",
"you",
"have",
"defined",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L307-L313
|
train
|
Executes a logical form using the predicates you have defined.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(49) + chr(50), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + '\x33' + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x32' + chr(0b10111 + 0o37) + chr(52), 38451 - 38443), ehT0Px3KOsy9(chr(48) + chr(7189 - 7078) + chr(0b110001) + '\x34' + chr(2447 - 2395), 0o10), ehT0Px3KOsy9(chr(1314 - 1266) + '\157' + '\063' + '\x36' + chr(0b110111), 29976 - 29968), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11100 + 0o26) + chr(0b110100) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(52) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1010101 + 0o32) + chr(1027 - 974) + chr(0b11101 + 0o25), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(55) + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(82 - 34) + '\157' + '\x33' + chr(0b110100) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(5725 - 5614) + '\x31' + chr(49) + '\x35', 9423 - 9415), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + '\x31' + chr(0b1 + 0o66) + chr(50), 56575 - 56567), ehT0Px3KOsy9(chr(1274 - 1226) + '\157' + '\x31' + chr(0b10 + 0o61) + chr(0b11100 + 0o32), 0o10), ehT0Px3KOsy9(chr(1770 - 1722) + '\x6f' + chr(0b10110 + 0o33) + chr(0b110110) + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(50) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(566 - 518) + chr(111) + chr(0b110010) + chr(0b110100) + chr(0b110111), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(53) + chr(0b110101), 50830 - 50822), ehT0Px3KOsy9(chr(0b110000) + chr(0b101011 + 0o104) + chr(50) + '\x35' + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(50) + chr(0b110100) + '\x35', 14052 - 14044), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + chr(544 - 494) + chr(1694 - 1646) + chr(0b101 + 0o56), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(53) + '\x37', 19689 - 19681), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(0b110000) + chr(0b11110 + 0o22), 0b1000), ehT0Px3KOsy9(chr(1814 - 1766) + chr(111) + '\x33' + chr(1675 - 1623) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(50) + chr(49) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(1495 - 1447) + chr(111) + chr(49) + chr(54) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011101 + 0o22) + chr(0b100000 + 0o22) + chr(0b10111 + 0o32) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(184 - 135) + chr(1430 - 1375) + chr(984 - 934), 8), ehT0Px3KOsy9(chr(1684 - 1636) + chr(0b1011 + 0o144) + chr(0b110010) + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1538 - 1487) + chr(0b110000) + chr(0b11101 + 0o32), 0o10), ehT0Px3KOsy9('\060' + chr(162 - 51) + chr(49) + chr(267 - 215) + chr(0b110011), 33548 - 33540), ehT0Px3KOsy9(chr(903 - 855) + chr(111) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(10824 - 10713) + chr(1386 - 1336) + '\067' + chr(53), 17711 - 17703), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010) + chr(0b100001 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(2254 - 2206) + '\x6f' + '\061' + '\062' + chr(1827 - 1779), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110101) + '\x31', 0b1000), ehT0Px3KOsy9('\x30' + chr(9497 - 9386) + '\x31' + chr(0b110110) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(2737 - 2684) + chr(0b110101), 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b0 + 0o64) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(6578 - 6467) + '\x35' + chr(0b110010), 8), ehT0Px3KOsy9(chr(310 - 262) + chr(0b100111 + 0o110) + chr(512 - 461) + chr(0b1011 + 0o46) + chr(0b101011 + 0o10), 49024 - 49016)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + '\x35' + chr(1509 - 1461), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa4'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + '\144' + '\145')(chr(117) + chr(116) + chr(1540 - 1438) + chr(0b10101 + 0o30) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def TaiENS9_ww2W(oVre8I6UXc3b, kh68tYwZhgrY):
if not lot1PSoAwYhj(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xba\xc1\n\x94\xd3JEV\x91'), chr(0b1100100) + chr(6810 - 6709) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')('\165' + chr(0b10 + 0o162) + '\x66' + chr(0b101101) + chr(0b111000))):
raise n0ZkatoveZpF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd3\xb3\xc1D\x9a\xd2P^\x18\x81,\x162W\xa6\xd2]\xca\xd7\xab\\%\x8f\xe9_\xd4%t\xab\x02v\xce\xcb\x0f\x05T^\x07F\xad\xa3\xf2\xeb;\x9e\xc9J^g\xbdeS~\x1e\xbb\x87T\xc0\xd0\xf1\x0f\x0c\x82\xe1\x16\xfe\x1bp\xa2Cf\xd2\xfa#]\x06X\x01^\xa4\xf8'), chr(5448 - 5348) + chr(2862 - 2761) + chr(7514 - 7415) + chr(0b1001111 + 0o40) + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(45) + '\x38'))
kh68tYwZhgrY = kh68tYwZhgrY.replace(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), '\x64' + chr(5674 - 5573) + '\143' + chr(0b1011000 + 0o27) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + '\055' + chr(0b1110 + 0o52)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), chr(0b100110 + 0o76) + '\145' + chr(3257 - 3158) + chr(0b1101111) + chr(3443 - 3343) + '\145')(chr(0b1110101) + chr(116) + chr(10386 - 10284) + chr(0b101101) + '\x38'))
heJELtuJu3My = eb2I7aEma6r5.lisp_to_nested_expression(kh68tYwZhgrY)
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\xb9\xcc\x01\x94\xd2WOg\x875\n,\x12\xa6\xd4D\xc0\xcb'), chr(0b110 + 0o136) + chr(0b1000 + 0o135) + '\143' + chr(111) + chr(0b100101 + 0o77) + chr(0b1100101))(chr(11129 - 11012) + '\x74' + chr(102) + chr(0b101101) + '\x38'))(heJELtuJu3My)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.execute_action_sequence
|
def execute_action_sequence(self, action_sequence: List[str], side_arguments: List[Dict] = None):
"""
Executes the program defined by an action sequence directly, without needing the overhead
of translating to a logical form first. For any given program, :func:`execute` and this
function are equivalent, they just take different representations of the program, so you
can use whichever is more efficient.
Also, if you have state or side arguments associated with particular production rules
(e.g., the decoder's attention on an input utterance when a predicate was predicted), you
`must` use this function to execute the logical form, instead of :func:`execute`, so that
we can match the side arguments with the right functions.
"""
# We'll strip off the first action, because it doesn't matter for execution.
first_action = action_sequence[0]
left_side = first_action.split(' -> ')[0]
if left_side != '@start@':
raise ExecutionError('invalid action sequence')
remaining_side_args = side_arguments[1:] if side_arguments else None
return self._execute_sequence(action_sequence[1:], remaining_side_args)[0]
|
python
|
def execute_action_sequence(self, action_sequence: List[str], side_arguments: List[Dict] = None):
"""
Executes the program defined by an action sequence directly, without needing the overhead
of translating to a logical form first. For any given program, :func:`execute` and this
function are equivalent, they just take different representations of the program, so you
can use whichever is more efficient.
Also, if you have state or side arguments associated with particular production rules
(e.g., the decoder's attention on an input utterance when a predicate was predicted), you
`must` use this function to execute the logical form, instead of :func:`execute`, so that
we can match the side arguments with the right functions.
"""
# We'll strip off the first action, because it doesn't matter for execution.
first_action = action_sequence[0]
left_side = first_action.split(' -> ')[0]
if left_side != '@start@':
raise ExecutionError('invalid action sequence')
remaining_side_args = side_arguments[1:] if side_arguments else None
return self._execute_sequence(action_sequence[1:], remaining_side_args)[0]
|
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"left_side",
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"first_action",
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":",
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",",
"remaining_side_args",
")",
"[",
"0",
"]"
] |
Executes the program defined by an action sequence directly, without needing the overhead
of translating to a logical form first. For any given program, :func:`execute` and this
function are equivalent, they just take different representations of the program, so you
can use whichever is more efficient.
Also, if you have state or side arguments associated with particular production rules
(e.g., the decoder's attention on an input utterance when a predicate was predicted), you
`must` use this function to execute the logical form, instead of :func:`execute`, so that
we can match the side arguments with the right functions.
|
[
"Executes",
"the",
"program",
"defined",
"by",
"an",
"action",
"sequence",
"directly",
"without",
"needing",
"the",
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"of",
"translating",
"to",
"a",
"logical",
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".",
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":",
"func",
":",
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"and",
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"different",
"representations",
"of",
"the",
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"so",
"you",
"can",
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"whichever",
"is",
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"efficient",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L315-L333
|
train
|
Executes the action sequence.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1010010 + 0o35) + '\x35' + '\x36', 872 - 864), ehT0Px3KOsy9('\x30' + chr(0b1000111 + 0o50) + chr(50) + '\066' + chr(900 - 850), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(8147 - 8036) + '\x31' + '\x31' + '\x33', 0b1000), ehT0Px3KOsy9(chr(742 - 694) + '\x6f' + chr(0b11110 + 0o25) + chr(49) + chr(0b101111 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\066' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(5954 - 5843) + chr(0b110110) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(205 - 154) + chr(0b10010 + 0o36), 33754 - 33746), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b101101 + 0o11) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110101), 47083 - 47075), ehT0Px3KOsy9(chr(451 - 403) + '\x6f' + chr(0b110001) + chr(51) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(841 - 793) + chr(4333 - 4222) + '\x33' + chr(48) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101101 + 0o2) + chr(0b10 + 0o64) + '\x30', 0b1000), ehT0Px3KOsy9(chr(594 - 546) + chr(6513 - 6402) + chr(0b101 + 0o60) + '\064', 29405 - 29397), ehT0Px3KOsy9(chr(48) + chr(0b111101 + 0o62) + chr(0b110011) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x33' + '\064', 39046 - 39038), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010) + '\066' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(11393 - 11282) + '\062' + chr(0b100010 + 0o23) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + '\x36' + chr(48), 8), ehT0Px3KOsy9(chr(2198 - 2150) + chr(0b1000011 + 0o54) + chr(51) + '\x32' + chr(2232 - 2177), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(0b10010 + 0o45) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1809 - 1761) + chr(5588 - 5477) + '\062' + chr(0b11 + 0o62) + chr(2522 - 2470), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b110101) + '\x36', 8), ehT0Px3KOsy9(chr(2149 - 2101) + '\x6f' + chr(514 - 466), 14316 - 14308), ehT0Px3KOsy9('\x30' + chr(9866 - 9755) + chr(50) + chr(52) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1000 + 0o53) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(12028 - 11917) + chr(0b110010) + chr(0b110001) + chr(1711 - 1659), 59804 - 59796), ehT0Px3KOsy9(chr(671 - 623) + chr(111) + chr(0b110100 + 0o3) + chr(0b110100 + 0o0), 35685 - 35677), ehT0Px3KOsy9(chr(328 - 280) + '\157' + chr(49) + chr(638 - 590) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b10100 + 0o40) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1010011 + 0o34) + chr(49) + chr(51) + chr(2357 - 2307), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(2974 - 2919) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(53), 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b1010 + 0o50) + '\067' + chr(52), 8), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\x32' + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110010) + '\064' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(52) + '\061', 46043 - 46035), ehT0Px3KOsy9(chr(1203 - 1155) + chr(111) + chr(0b100011 + 0o17) + chr(1769 - 1714) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(8616 - 8505) + chr(2071 - 2022) + chr(53) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b101111 + 0o2) + '\065' + chr(2370 - 2317), 38601 - 38593), ehT0Px3KOsy9(chr(48) + chr(446 - 335) + '\062' + '\x33' + chr(52), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110110 + 0o71) + '\x35' + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x00'), chr(4820 - 4720) + chr(101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))('\165' + '\x74' + chr(102) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def atl8eltl4FOv(oVre8I6UXc3b, FXNJIrDAzcxy, Z33WzR1MnG4V=None):
h6F0IIBiouDQ = FXNJIrDAzcxy[ehT0Px3KOsy9(chr(1353 - 1305) + chr(0b1101111) + chr(0b11101 + 0o23), 8)]
ULG77TjK80oU = h6F0IIBiouDQ.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x0e\x9fu\xec'), chr(974 - 874) + chr(0b11 + 0o142) + chr(99) + chr(0b10100 + 0o133) + '\144' + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b100010 + 0o13) + chr(56)))[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(577 - 529), 8)]
if ULG77TjK80oU != xafqLlk3kkUe(SXOLrMavuUCe(b'n\xc1?\xad\xc4AX'), chr(3832 - 3732) + chr(0b1100101) + chr(0b1100011) + '\x6f' + chr(100) + chr(0b1100101))('\x75' + chr(116) + chr(102) + chr(45) + '\x38'):
raise POyjkXRsHLE3(xafqLlk3kkUe(SXOLrMavuUCe(b'G\xdc=\xad\xda\\|\xd5d<\xb3YC\xa4\xbc\xc3\xce\xc1\xa2\x1d\xc2Me'), chr(1088 - 988) + chr(3311 - 3210) + '\143' + chr(111) + chr(0b1011001 + 0o13) + '\145')('\165' + chr(0b11001 + 0o133) + chr(1784 - 1682) + '\x2d' + chr(0b101000 + 0o20)))
sKaSPAjiDChw = Z33WzR1MnG4V[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061', 0o10):] if Z33WzR1MnG4V else None
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'q\xd73\xa9\xd5@l\x90Z,\xa2AY\xaf\xf2\xd3\xce'), '\x64' + chr(0b1100101) + '\143' + '\x6f' + chr(5441 - 5341) + chr(101))(chr(117) + chr(0b1100101 + 0o17) + '\x66' + chr(0b101101) + chr(0b111000)))(FXNJIrDAzcxy[ehT0Px3KOsy9(chr(803 - 755) + chr(111) + '\061', 8):], sKaSPAjiDChw)[ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o20), 8)]
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.get_nonterminal_productions
|
def get_nonterminal_productions(self) -> Dict[str, List[str]]:
"""
Induces a grammar from the defined collection of predicates in this language and returns
all productions in that grammar, keyed by the non-terminal they are expanding.
This includes terminal productions implied by each predicate as well as productions for the
`return type` of each defined predicate. For example, defining a "multiply" predicate adds
a "<int,int:int> -> multiply" terminal production to the grammar, and `also` a "int ->
[<int,int:int>, int, int]" non-terminal production, because I can use the "multiply"
predicate to produce an int.
"""
if not self._nonterminal_productions:
actions: Dict[str, Set[str]] = defaultdict(set)
# If you didn't give us a set of valid start types, we'll assume all types we know
# about (including functional types) are valid start types.
if self._start_types:
start_types = self._start_types
else:
start_types = set()
for type_list in self._function_types.values():
start_types.update(type_list)
for start_type in start_types:
actions[START_SYMBOL].add(f"{START_SYMBOL} -> {start_type}")
for name, function_type_list in self._function_types.items():
for function_type in function_type_list:
actions[str(function_type)].add(f"{function_type} -> {name}")
if isinstance(function_type, FunctionType):
return_type = function_type.return_type
arg_types = function_type.argument_types
right_side = f"[{function_type}, {', '.join(str(arg_type) for arg_type in arg_types)}]"
actions[str(return_type)].add(f"{return_type} -> {right_side}")
self._nonterminal_productions = {key: sorted(value) for key, value in actions.items()}
return self._nonterminal_productions
|
python
|
def get_nonterminal_productions(self) -> Dict[str, List[str]]:
"""
Induces a grammar from the defined collection of predicates in this language and returns
all productions in that grammar, keyed by the non-terminal they are expanding.
This includes terminal productions implied by each predicate as well as productions for the
`return type` of each defined predicate. For example, defining a "multiply" predicate adds
a "<int,int:int> -> multiply" terminal production to the grammar, and `also` a "int ->
[<int,int:int>, int, int]" non-terminal production, because I can use the "multiply"
predicate to produce an int.
"""
if not self._nonterminal_productions:
actions: Dict[str, Set[str]] = defaultdict(set)
# If you didn't give us a set of valid start types, we'll assume all types we know
# about (including functional types) are valid start types.
if self._start_types:
start_types = self._start_types
else:
start_types = set()
for type_list in self._function_types.values():
start_types.update(type_list)
for start_type in start_types:
actions[START_SYMBOL].add(f"{START_SYMBOL} -> {start_type}")
for name, function_type_list in self._function_types.items():
for function_type in function_type_list:
actions[str(function_type)].add(f"{function_type} -> {name}")
if isinstance(function_type, FunctionType):
return_type = function_type.return_type
arg_types = function_type.argument_types
right_side = f"[{function_type}, {', '.join(str(arg_type) for arg_type in arg_types)}]"
actions[str(return_type)].add(f"{return_type} -> {right_side}")
self._nonterminal_productions = {key: sorted(value) for key, value in actions.items()}
return self._nonterminal_productions
|
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] |
Induces a grammar from the defined collection of predicates in this language and returns
all productions in that grammar, keyed by the non-terminal they are expanding.
This includes terminal productions implied by each predicate as well as productions for the
`return type` of each defined predicate. For example, defining a "multiply" predicate adds
a "<int,int:int> -> multiply" terminal production to the grammar, and `also` a "int ->
[<int,int:int>, int, int]" non-terminal production, because I can use the "multiply"
predicate to produce an int.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L335-L367
|
train
|
Induces a grammar from the defined collection of predicates in this language and returns all productions that are not in the grammar.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + chr(2446 - 2396) + chr(0b10010 + 0o43) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110101) + chr(54), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\061' + '\x36' + chr(0b101011 + 0o10), 3938 - 3930), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110011) + chr(2859 - 2804), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1502 - 1453) + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(4435 - 4324) + chr(51) + chr(0b110011) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(49) + chr(0b110100) + chr(52), 14038 - 14030), ehT0Px3KOsy9(chr(1818 - 1770) + chr(2035 - 1924) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(49) + '\063', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2171 - 2120) + chr(0b101111 + 0o3) + chr(0b110001 + 0o1), 23684 - 23676), ehT0Px3KOsy9('\x30' + chr(5359 - 5248) + chr(49) + chr(0b110 + 0o53) + '\064', 0o10), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + '\x32' + '\065' + '\063', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(49) + chr(0b111 + 0o52) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(4853 - 4742) + '\062' + '\x30' + chr(0b1101 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(0b110001) + chr(1008 - 955) + chr(0b110101), 58789 - 58781), ehT0Px3KOsy9('\060' + chr(5527 - 5416) + chr(49) + chr(54) + chr(498 - 443), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b11110 + 0o121) + chr(0b11 + 0o57) + '\062', 59990 - 59982), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(51) + chr(0b110000), 8), ehT0Px3KOsy9(chr(2038 - 1990) + '\x6f' + chr(0b110011) + chr(51) + '\061', 0o10), ehT0Px3KOsy9(chr(1285 - 1237) + chr(111) + '\x32' + chr(0b110001) + chr(0b1110 + 0o46), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(1110 - 1061) + '\060', 9400 - 9392), ehT0Px3KOsy9(chr(0b110000) + chr(921 - 810) + chr(0b110010 + 0o1) + chr(0b1000 + 0o56) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(144 - 94) + chr(0b1110 + 0o45), 23705 - 23697), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11110 + 0o23) + chr(0b10110 + 0o33) + chr(0b1101 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(1175 - 1124) + chr(0b1000 + 0o57) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(2538 - 2484) + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(2749 - 2695) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + '\x35' + chr(0b110110), 2385 - 2377), ehT0Px3KOsy9('\060' + chr(11815 - 11704) + chr(0b110001) + chr(0b110001) + chr(0b101 + 0o62), 8), ehT0Px3KOsy9('\x30' + '\157' + chr(472 - 421) + '\066' + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(978 - 927) + chr(975 - 920), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(312 - 262) + '\x32' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\x6f' + chr(0b110111) + chr(0b11110 + 0o26), 47832 - 47824), ehT0Px3KOsy9('\060' + chr(111) + chr(1366 - 1313) + chr(1938 - 1885), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\062' + chr(55) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x32' + chr(52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + chr(50) + '\061', 46396 - 46388), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b10101 + 0o35) + '\063', 0b1000), ehT0Px3KOsy9(chr(1319 - 1271) + chr(4677 - 4566) + '\x31' + '\x31' + chr(0b110100), 8)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101110 + 0o1) + chr(53) + chr(0b100011 + 0o15), 6490 - 6482)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x86'), '\144' + chr(0b10111 + 0o116) + '\x63' + chr(5544 - 5433) + chr(0b1000 + 0o134) + chr(4617 - 4516))(chr(117) + chr(0b1110100) + '\146' + chr(45) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GkerEVM8A7dm(oVre8I6UXc3b) -> zBnV56fc6HrA[M8_cKLkHVB2V, qRxF7OQ0y39T[M8_cKLkHVB2V]]:
if not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7@\x1c\xb1"\xbd\x16h\xa2\xbc-\xc7\x10\xf4\x1f\x18v\xad\xba\xf8\xa1\x9d\xbd='), chr(0b111101 + 0o47) + chr(9151 - 9050) + '\143' + chr(111) + '\x64' + chr(0b1100101))('\165' + chr(116) + '\146' + '\055' + chr(0b10101 + 0o43))):
WCl6VUkME_8I = rLgqW9imlCdX(MVEN8G6CxlvR)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7]\x07\xbe$\xac;q\xb2\xa2)\xd8'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + '\145')(chr(0b100011 + 0o122) + chr(0b1110100) + '\x66' + chr(45) + '\070')):
mW7hLZxV0Ilc = oVre8I6UXc3b._start_types
else:
mW7hLZxV0Ilc = MVEN8G6CxlvR()
for tIqEQIOcOYwY in xafqLlk3kkUe(oVre8I6UXc3b._function_types, xafqLlk3kkUe(SXOLrMavuUCe(b'\xfb~\x1d\x9c\x18\xadQ1\x83\xe3(\xc9'), chr(0b1100100) + chr(0b101000 + 0o75) + chr(0b1100011) + chr(0b1001000 + 0o47) + chr(0b11101 + 0o107) + chr(9893 - 9792))(chr(11015 - 10898) + chr(0b1110100) + chr(102) + chr(711 - 666) + '\x38'))():
xafqLlk3kkUe(mW7hLZxV0Ilc, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2Z2\x9a?\x96.k\xb2\xe6)\x9b'), '\x64' + chr(101) + chr(99) + chr(2371 - 2260) + chr(8529 - 8429) + chr(0b100011 + 0o102))(chr(0b1110101) + chr(9692 - 9576) + chr(8387 - 8285) + chr(0b1110 + 0o37) + chr(0b111000)))(tIqEQIOcOYwY)
for lf2bGbZLmhhS in mW7hLZxV0Ilc:
xafqLlk3kkUe(WCl6VUkME_8I[F_eLh1HbPbbZ], xafqLlk3kkUe(SXOLrMavuUCe(b'\xdddC\xaeo\xbb#0\x91\x9d\x1e\x98'), '\x64' + chr(0b1100101) + '\143' + chr(10405 - 10294) + '\x64' + '\145')(chr(9185 - 9068) + chr(0b111000 + 0o74) + '\x66' + chr(45) + chr(0b10001 + 0o47)))(f'{F_eLh1HbPbbZ} -> {lf2bGbZLmhhS}')
for (AIvJRzLdDfgF, kx3ZgWSwReHV) in xafqLlk3kkUe(oVre8I6UXc3b._function_types, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6T\x05\xba\x1f\x82WL\xa7\x81\x04\x92'), chr(0b111 + 0o135) + chr(0b111101 + 0o50) + '\143' + chr(111) + '\144' + chr(0b101 + 0o140))(chr(0b1110101) + '\164' + chr(0b111011 + 0o53) + '\x2d' + chr(0b111000)))():
for cid_uaYJYOSx in kx3ZgWSwReHV:
xafqLlk3kkUe(WCl6VUkME_8I[M8_cKLkHVB2V(cid_uaYJYOSx)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xdddC\xaeo\xbb#0\x91\x9d\x1e\x98'), '\144' + chr(0b1010000 + 0o25) + '\143' + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(0b101101) + chr(0b111 + 0o61)))(f'{cid_uaYJYOSx} -> {AIvJRzLdDfgF}')
if PlSM16l2KDPD(cid_uaYJYOSx, ric04wOk_EeU):
ELL59KGwZKj3 = cid_uaYJYOSx.return_type
WLkCKxcteYqC = cid_uaYJYOSx.argument_types
ZhTWDDhoiRNo = f"[{cid_uaYJYOSx}, {chr(0b101100) + chr(734 - 702)._oWXztVNnqHF((M8_cKLkHVB2V(u88a6oLul0L6) for u88a6oLul0L6 in WLkCKxcteYqC))}]"
xafqLlk3kkUe(WCl6VUkME_8I[M8_cKLkHVB2V(ELL59KGwZKj3)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xdddC\xaeo\xbb#0\x91\x9d\x1e\x98'), chr(100) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(4330 - 4230) + chr(0b111001 + 0o54))(chr(0b1000100 + 0o61) + '\164' + chr(102) + chr(0b101101) + '\x38'))(f'{ELL59KGwZKj3} -> {ZhTWDDhoiRNo}')
oVre8I6UXc3b.lBLquhj8e7NS = {K3J4ZwSlE0sT: vUlqIvNSaRMa(QmmgWUB13VCJ) for (K3J4ZwSlE0sT, QmmgWUB13VCJ) in WCl6VUkME_8I.NzveIZ3IlSH9()}
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4l?\xae#\xb0\x0e=\xae\xe5\x02\xf8'), chr(0b1100100) + chr(101) + chr(6250 - 6151) + chr(111) + '\x64' + chr(1632 - 1531))(chr(0b1001010 + 0o53) + '\164' + '\146' + '\055' + chr(2878 - 2822)))
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.all_possible_productions
|
def all_possible_productions(self) -> List[str]:
"""
Returns a sorted list of all production rules in the grammar induced by
:func:`get_nonterminal_productions`.
"""
all_actions = set()
for action_set in self.get_nonterminal_productions().values():
all_actions.update(action_set)
return sorted(all_actions)
|
python
|
def all_possible_productions(self) -> List[str]:
"""
Returns a sorted list of all production rules in the grammar induced by
:func:`get_nonterminal_productions`.
"""
all_actions = set()
for action_set in self.get_nonterminal_productions().values():
all_actions.update(action_set)
return sorted(all_actions)
|
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"all_actions",
".",
"update",
"(",
"action_set",
")",
"return",
"sorted",
"(",
"all_actions",
")"
] |
Returns a sorted list of all production rules in the grammar induced by
:func:`get_nonterminal_productions`.
|
[
"Returns",
"a",
"sorted",
"list",
"of",
"all",
"production",
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"in",
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"get_nonterminal_productions",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L369-L377
|
train
|
Returns a list of all possible production rules in the grammar.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + '\x32', 27622 - 27614), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1223 - 1173) + '\x36' + '\x36', 61873 - 61865), ehT0Px3KOsy9('\060' + chr(7500 - 7389) + '\061' + chr(51), 8), ehT0Px3KOsy9(chr(48) + chr(2454 - 2343) + '\066' + chr(0b11 + 0o56), 0o10), ehT0Px3KOsy9(chr(2203 - 2155) + chr(0b1101111) + chr(49) + chr(55) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\060' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1011001 + 0o26) + '\x34' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(0b110011) + chr(52), 34975 - 34967), ehT0Px3KOsy9(chr(1499 - 1451) + chr(111) + chr(0b110111) + '\065', 7849 - 7841), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b111 + 0o54) + '\x36' + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1495 - 1446) + chr(49) + '\x32', 0o10), ehT0Px3KOsy9(chr(1795 - 1747) + chr(0b1001 + 0o146) + chr(2206 - 2157) + '\063' + chr(0b110100), 8), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\061' + chr(0b100011 + 0o17), 0b1000), ehT0Px3KOsy9(chr(2170 - 2122) + chr(6553 - 6442) + '\x33' + chr(52) + chr(0b10 + 0o64), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(54) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(0b10000 + 0o45) + '\x33', 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(0b101000 + 0o107) + '\063' + chr(54) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + chr(6194 - 6083) + chr(1523 - 1473) + '\x33' + chr(2230 - 2177), 0b1000), ehT0Px3KOsy9(chr(82 - 34) + chr(0b1101111 + 0o0) + chr(50) + chr(0b110110) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(262 - 211) + chr(354 - 304), 57306 - 57298), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(0b110111) + chr(0b101010 + 0o14), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b110010 + 0o75) + '\063' + chr(0b110101) + chr(843 - 791), 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\062' + chr(0b101011 + 0o6) + chr(0b110000), 64328 - 64320), ehT0Px3KOsy9(chr(0b110000) + chr(10270 - 10159) + chr(50) + '\062' + '\x31', 16236 - 16228), ehT0Px3KOsy9(chr(1523 - 1475) + chr(0b111010 + 0o65) + '\x33' + chr(0b110000) + chr(0b11 + 0o63), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x32' + chr(0b10011 + 0o41) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1122 - 1074) + '\157' + chr(151 - 101) + chr(0b110001) + '\066', 32695 - 32687), ehT0Px3KOsy9('\060' + '\157' + chr(51) + '\065' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(2745 - 2634) + '\063' + '\x34' + chr(2913 - 2859), 8), ehT0Px3KOsy9(chr(1045 - 997) + '\x6f' + '\062' + chr(194 - 142) + chr(0b110111), 40848 - 40840), ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + chr(0b11101 + 0o25) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(7383 - 7272) + chr(1625 - 1575) + '\064' + chr(2061 - 2006), 8), ehT0Px3KOsy9('\060' + '\157' + chr(0b101111 + 0o2) + '\x33' + chr(0b10001 + 0o41), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(0b110011) + '\x34' + '\067', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11001 + 0o32) + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x30', 44964 - 44956), ehT0Px3KOsy9(chr(0b110000) + chr(7307 - 7196) + '\063' + chr(0b110011) + '\x32', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(8979 - 8868) + chr(53) + '\060', ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'%'), chr(0b110011 + 0o61) + '\145' + chr(0b1100011) + chr(6995 - 6884) + chr(0b1100100) + '\145')(chr(117) + chr(0b1110100) + chr(0b11011 + 0o113) + chr(1621 - 1576) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def fUzFvsRqcImt(oVre8I6UXc3b) -> qRxF7OQ0y39T[M8_cKLkHVB2V]:
z5EYB6nilIpt = MVEN8G6CxlvR()
for YwjMGmNpeL2t in xafqLlk3kkUe(oVre8I6UXc3b.get_nonterminal_productions(), xafqLlk3kkUe(SXOLrMavuUCe(b'XZ\xd8H\x7f\x0e\xb4\x10\x14\x0c\x93('), chr(953 - 853) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + chr(101))('\x75' + chr(0b1001101 + 0o47) + chr(102) + chr(0b10110 + 0o27) + chr(1164 - 1108)))():
xafqLlk3kkUe(z5EYB6nilIpt, xafqLlk3kkUe(SXOLrMavuUCe(b'Q~\xf7NX5\xcbJ%\t\x92z'), chr(0b1010111 + 0o15) + chr(101) + '\x63' + chr(0b100010 + 0o115) + '\144' + chr(0b1100101))(chr(4275 - 4158) + '\x74' + chr(102) + '\055' + chr(165 - 109)))(YwjMGmNpeL2t)
return vUlqIvNSaRMa(z5EYB6nilIpt)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.logical_form_to_action_sequence
|
def logical_form_to_action_sequence(self, logical_form: str) -> List[str]:
"""
Converts a logical form into a linearization of the production rules from its abstract
syntax tree. The linearization is top-down, depth-first.
Each production rule is formatted as "LHS -> RHS", where "LHS" is a single non-terminal
type, and RHS is either a terminal or a list of non-terminals (other possible values for
RHS in a more general context-free grammar are not produced by our grammar induction
logic).
Non-terminals are `types` in the grammar, either basic types (like ``int``, ``str``, or
some class that you define), or functional types, represented with angle brackets with a
colon separating arguments from the return type. Multi-argument functions have commas
separating their argument types. For example, ``<int:int>`` is a function that takes an
integer and returns an integer, and ``<int,int:int>`` is a function that takes two integer
arguments and returns an integer.
As an example translation from logical form to complete action sequence, the logical form
``(add 2 3)`` would be translated to ``['@start@ -> int', 'int -> [<int,int:int>, int, int]',
'<int,int:int> -> add', 'int -> 2', 'int -> 3']``.
"""
expression = util.lisp_to_nested_expression(logical_form)
try:
transitions, start_type = self._get_transitions(expression, expected_type=None)
if self._start_types and start_type not in self._start_types:
raise ParsingError(f"Expression had unallowed start type of {start_type}: {expression}")
except ParsingError:
logger.error(f'Error parsing logical form: {logical_form}')
raise
transitions.insert(0, f'@start@ -> {start_type}')
return transitions
|
python
|
def logical_form_to_action_sequence(self, logical_form: str) -> List[str]:
"""
Converts a logical form into a linearization of the production rules from its abstract
syntax tree. The linearization is top-down, depth-first.
Each production rule is formatted as "LHS -> RHS", where "LHS" is a single non-terminal
type, and RHS is either a terminal or a list of non-terminals (other possible values for
RHS in a more general context-free grammar are not produced by our grammar induction
logic).
Non-terminals are `types` in the grammar, either basic types (like ``int``, ``str``, or
some class that you define), or functional types, represented with angle brackets with a
colon separating arguments from the return type. Multi-argument functions have commas
separating their argument types. For example, ``<int:int>`` is a function that takes an
integer and returns an integer, and ``<int,int:int>`` is a function that takes two integer
arguments and returns an integer.
As an example translation from logical form to complete action sequence, the logical form
``(add 2 3)`` would be translated to ``['@start@ -> int', 'int -> [<int,int:int>, int, int]',
'<int,int:int> -> add', 'int -> 2', 'int -> 3']``.
"""
expression = util.lisp_to_nested_expression(logical_form)
try:
transitions, start_type = self._get_transitions(expression, expected_type=None)
if self._start_types and start_type not in self._start_types:
raise ParsingError(f"Expression had unallowed start type of {start_type}: {expression}")
except ParsingError:
logger.error(f'Error parsing logical form: {logical_form}')
raise
transitions.insert(0, f'@start@ -> {start_type}')
return transitions
|
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] |
Converts a logical form into a linearization of the production rules from its abstract
syntax tree. The linearization is top-down, depth-first.
Each production rule is formatted as "LHS -> RHS", where "LHS" is a single non-terminal
type, and RHS is either a terminal or a list of non-terminals (other possible values for
RHS in a more general context-free grammar are not produced by our grammar induction
logic).
Non-terminals are `types` in the grammar, either basic types (like ``int``, ``str``, or
some class that you define), or functional types, represented with angle brackets with a
colon separating arguments from the return type. Multi-argument functions have commas
separating their argument types. For example, ``<int:int>`` is a function that takes an
integer and returns an integer, and ``<int,int:int>`` is a function that takes two integer
arguments and returns an integer.
As an example translation from logical form to complete action sequence, the logical form
``(add 2 3)`` would be translated to ``['@start@ -> int', 'int -> [<int,int:int>, int, int]',
'<int,int:int> -> add', 'int -> 2', 'int -> 3']``.
|
[
"Converts",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L379-L409
|
train
|
Converts a logical form into a list of action sequences.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(1828 - 1773) + '\064', 50316 - 50308), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(0b110001) + '\061' + chr(2120 - 2066), 44917 - 44909), ehT0Px3KOsy9(chr(1170 - 1122) + '\157' + chr(0b11111 + 0o22) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b110010) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + '\062' + '\065' + chr(0b101101 + 0o3), 54587 - 54579), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(2462 - 2412) + chr(2158 - 2108) + chr(798 - 743), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\066', 41611 - 41603), ehT0Px3KOsy9(chr(108 - 60) + chr(12235 - 12124) + chr(0b101101 + 0o7) + chr(0b1101 + 0o45), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + '\x31' + chr(1428 - 1378) + '\x30', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(54) + chr(0b11010 + 0o35), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1001 + 0o52) + chr(52) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11111 + 0o22) + chr(2581 - 2530) + '\x35', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110110) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(1789 - 1739) + chr(1113 - 1060) + '\x35', 32584 - 32576), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(0b110110 + 0o1) + chr(0b10111 + 0o33), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\061' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1514 - 1466) + '\x6f' + chr(0b110011) + '\x35' + chr(53), 0b1000), ehT0Px3KOsy9('\060' + chr(7932 - 7821) + chr(50) + chr(0b100101 + 0o14) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x36' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(3567 - 3456) + chr(0b110011) + chr(55) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(766 - 713) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\x32' + chr(0b110011), 32402 - 32394), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\066' + chr(1875 - 1827), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(3394 - 3283) + chr(0b110011) + '\x36' + chr(318 - 270), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b11101 + 0o26) + chr(0b110010 + 0o3) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(11568 - 11457) + chr(0b110011) + '\067' + '\065', 43770 - 43762), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110 + 0o54) + '\x34' + chr(0b110101), 26618 - 26610), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + chr(48) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(0b110111) + chr(51), 55709 - 55701), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1559 - 1508) + chr(0b110010) + '\061', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + '\067' + chr(1020 - 972), 0b1000), ehT0Px3KOsy9(chr(1610 - 1562) + chr(111) + chr(0b110011) + chr(2051 - 1996), 47814 - 47806), ehT0Px3KOsy9(chr(2230 - 2182) + chr(0b1101111) + chr(0b110010) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(0b11010 + 0o125) + chr(0b110011) + chr(54) + chr(0b1100 + 0o46), 0o10), ehT0Px3KOsy9('\060' + chr(0b1100010 + 0o15) + '\062' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(2131 - 2079) + chr(2129 - 2076), 0b1000), ehT0Px3KOsy9('\x30' + chr(1474 - 1363) + chr(0b110001) + chr(734 - 684) + chr(1665 - 1613), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(1937 - 1883) + chr(1749 - 1698), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(451 - 340) + chr(0b110101) + chr(0b101001 + 0o7), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), chr(6352 - 6252) + chr(6663 - 6562) + chr(99) + chr(12197 - 12086) + chr(2644 - 2544) + chr(101))(chr(117) + '\164' + chr(0b1011110 + 0o10) + chr(275 - 230) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def j19zwKQwpMwL(oVre8I6UXc3b, kh68tYwZhgrY) -> qRxF7OQ0y39T[M8_cKLkHVB2V]:
heJELtuJu3My = eb2I7aEma6r5.lisp_to_nested_expression(kh68tYwZhgrY)
try:
(WI0Qv2bziBjm, lf2bGbZLmhhS) = oVre8I6UXc3b._get_transitions(heJELtuJu3My, expected_type=None)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3=+5\xda\xe3AV)\xc7\x85.'), chr(0b1100000 + 0o4) + chr(0b1100101) + chr(99) + chr(3299 - 3188) + '\144' + chr(6903 - 6802))(chr(117) + chr(0b1010110 + 0o36) + chr(0b1011000 + 0o16) + '\x2d' + chr(337 - 281))) and lf2bGbZLmhhS not in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa3=+5\xda\xe3AV)\xc7\x85.'), '\144' + '\145' + chr(99) + chr(111) + chr(100) + '\145')(chr(0b110100 + 0o101) + '\164' + chr(0b1100110) + chr(0b101101) + chr(56))):
raise MO1jGuXEVWyF(f'Expression had unallowed start type of {lf2bGbZLmhhS}: {heJELtuJu3My}')
except MO1jGuXEVWyF:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\x1b;\x04\xc9\xe3Qqa\xc0\x98m'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(2536 - 2435))(chr(0b1000010 + 0o63) + '\164' + chr(102) + chr(0b100110 + 0o7) + '\x38'))(f'Error parsing logical form: {kh68tYwZhgrY}')
raise
xafqLlk3kkUe(WI0Qv2bziBjm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x95 ,1\xda\xe3'), '\x64' + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + '\145')(chr(0b1110101) + '\164' + chr(102) + '\x2d' + chr(56)))(ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 62926 - 62918), f'@start@ -> {lf2bGbZLmhhS}')
return WI0Qv2bziBjm
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.action_sequence_to_logical_form
|
def action_sequence_to_logical_form(self, action_sequence: List[str]) -> str:
"""
Takes an action sequence as produced by :func:`logical_form_to_action_sequence`, which is a
linearization of an abstract syntax tree, and reconstructs the logical form defined by that
abstract syntax tree.
"""
# Basic outline: we assume that the bracketing that we get in the RHS of each action is the
# correct bracketing for reconstructing the logical form. This is true when there is no
# currying in the action sequence. Given this assumption, we just need to construct a tree
# from the action sequence, then output all of the leaves in the tree, with brackets around
# the children of all non-terminal nodes.
remaining_actions = [action.split(" -> ") for action in action_sequence]
tree = Tree(remaining_actions[0][1], [])
try:
remaining_actions = self._construct_node_from_actions(tree, remaining_actions[1:])
except ParsingError:
logger.error("Error parsing action sequence: %s", action_sequence)
raise
if remaining_actions:
logger.error("Error parsing action sequence: %s", action_sequence)
logger.error("Remaining actions were: %s", remaining_actions)
raise ParsingError("Extra actions in action sequence")
return nltk_tree_to_logical_form(tree)
|
python
|
def action_sequence_to_logical_form(self, action_sequence: List[str]) -> str:
"""
Takes an action sequence as produced by :func:`logical_form_to_action_sequence`, which is a
linearization of an abstract syntax tree, and reconstructs the logical form defined by that
abstract syntax tree.
"""
# Basic outline: we assume that the bracketing that we get in the RHS of each action is the
# correct bracketing for reconstructing the logical form. This is true when there is no
# currying in the action sequence. Given this assumption, we just need to construct a tree
# from the action sequence, then output all of the leaves in the tree, with brackets around
# the children of all non-terminal nodes.
remaining_actions = [action.split(" -> ") for action in action_sequence]
tree = Tree(remaining_actions[0][1], [])
try:
remaining_actions = self._construct_node_from_actions(tree, remaining_actions[1:])
except ParsingError:
logger.error("Error parsing action sequence: %s", action_sequence)
raise
if remaining_actions:
logger.error("Error parsing action sequence: %s", action_sequence)
logger.error("Remaining actions were: %s", remaining_actions)
raise ParsingError("Extra actions in action sequence")
return nltk_tree_to_logical_form(tree)
|
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] |
Takes an action sequence as produced by :func:`logical_form_to_action_sequence`, which is a
linearization of an abstract syntax tree, and reconstructs the logical form defined by that
abstract syntax tree.
|
[
"Takes",
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L411-L436
|
train
|
Takes an action sequence as produced by logical_form_to_action_sequence and reconstructs the logical form of that tree.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(2132 - 2084) + chr(111) + chr(50) + '\x30' + chr(1680 - 1626), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001111 + 0o40) + '\061' + chr(50) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\x31' + chr(55) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010 + 0o1) + chr(0b110101) + chr(0b1100 + 0o46), 54629 - 54621), ehT0Px3KOsy9(chr(0b110000) + chr(10687 - 10576) + '\x31' + '\067' + chr(232 - 183), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11001 + 0o31) + '\065' + '\x37', 42362 - 42354), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + chr(0b110001) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\x6f' + chr(0b11011 + 0o26) + chr(0b110001) + '\063', 29801 - 29793), ehT0Px3KOsy9('\060' + '\x6f' + '\x33' + chr(0b110010) + '\063', 0o10), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(0b110001) + chr(0b110100) + chr(2295 - 2243), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b0 + 0o157) + '\062' + '\067' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(815 - 766) + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1418 - 1370) + '\x6f' + '\061' + chr(319 - 271) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + chr(5098 - 4987) + chr(293 - 244) + chr(0b110001) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b101 + 0o55) + chr(1539 - 1491), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + chr(52) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(111) + chr(0b110100) + chr(74 - 19), 0b1000), ehT0Px3KOsy9('\x30' + chr(7219 - 7108) + '\062' + chr(0b110111) + chr(0b101110 + 0o11), 41629 - 41621), ehT0Px3KOsy9(chr(655 - 607) + chr(0b1000101 + 0o52) + chr(0b110000 + 0o2) + '\061', 11823 - 11815), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(0b10 + 0o155) + chr(0b101100 + 0o6) + '\067' + chr(51), 0o10), ehT0Px3KOsy9(chr(1962 - 1914) + chr(0b1101111) + chr(0b110010) + '\x33' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(7389 - 7278) + chr(0b11101 + 0o31) + chr(48), 53245 - 53237), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001 + 0o0) + chr(0b110011) + chr(0b110000), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + chr(51) + '\063' + '\x34', 11803 - 11795), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100001 + 0o16) + '\063' + chr(0b110001) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(1051 - 1003) + '\x6f' + chr(0b1101 + 0o45) + chr(0b101100 + 0o7) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(963 - 909) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(49) + '\060' + chr(2522 - 2467), 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\157' + '\065' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001) + chr(0b110000) + '\064', 8), ehT0Px3KOsy9('\060' + chr(8984 - 8873) + chr(1375 - 1326) + chr(323 - 268) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1630 - 1581) + chr(53) + '\x30', 0o10), ehT0Px3KOsy9(chr(2184 - 2136) + '\157' + chr(1646 - 1597) + '\x30' + '\067', 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110011) + chr(0b10101 + 0o42), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o62) + chr(52) + chr(0b101010 + 0o7), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x37' + '\x36', 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1010011 + 0o34) + '\061' + chr(0b110110) + '\062', 51703 - 51695), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1000101 + 0o52) + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o50), 43559 - 43551)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o27) + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), '\144' + chr(0b1011011 + 0o12) + chr(99) + chr(111) + chr(0b1100100) + chr(101))(chr(0b1110101) + '\x74' + chr(102) + chr(1340 - 1295) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def jbd5oMNUZCSD(oVre8I6UXc3b, FXNJIrDAzcxy) -> M8_cKLkHVB2V:
klkIVilDKnwv = [vyskHDXig6uT.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6~A\xca'), chr(676 - 576) + '\145' + chr(0b1100011) + chr(0b111101 + 0o62) + '\x64' + chr(0b10000 + 0o125))(chr(0b1001100 + 0o51) + chr(116) + '\x66' + chr(0b100010 + 0o13) + '\070')) for vyskHDXig6uT in FXNJIrDAzcxy]
ErHgKhTO5Wfb = EkzIH99VGiMZ(klkIVilDKnwv[ehT0Px3KOsy9(chr(578 - 530) + chr(111) + chr(736 - 688), 0b1000)][ehT0Px3KOsy9(chr(48) + chr(111) + '\061', 0b1000)], [])
try:
klkIVilDKnwv = oVre8I6UXc3b._construct_node_from_actions(ErHgKhTO5Wfb, klkIVilDKnwv[ehT0Px3KOsy9('\060' + '\x6f' + '\x31', 8):])
except MO1jGuXEVWyF:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x06\x1b\xba\x18\xdb\x87\x18\xe2\x13\xc2p'), chr(0b1100100) + chr(101) + chr(99) + chr(0b1101111) + '\x64' + '\145')('\x75' + '\x74' + '\x66' + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3!\r\x85\x0b\x8f\xb8*\xa1\x17\xd3.#i1\x06S\xd6~\xd5\xbeC=\xad\xbb\x80\xf4P"\x13d_\x1b'), chr(100) + chr(0b111000 + 0o55) + chr(0b1011001 + 0o12) + chr(0b11110 + 0o121) + '\144' + chr(0b11000 + 0o115))('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)), FXNJIrDAzcxy)
raise
if klkIVilDKnwv:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x06\x1b\xba\x18\xdb\x87\x18\xe2\x13\xc2p'), chr(100) + chr(101) + chr(0b10110 + 0o115) + chr(0b110011 + 0o74) + chr(0b101111 + 0o65) + '\145')(chr(8199 - 8082) + '\164' + '\146' + '\x2d' + chr(866 - 810)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3!\r\x85\x0b\x8f\xb8*\xa1\x17\xd3.#i1\x06S\xd6~\xd5\xbeC=\xad\xbb\x80\xf4P"\x13d_\x1b'), chr(0b1100100) + chr(1227 - 1126) + chr(0b1010001 + 0o22) + chr(0b1010010 + 0o35) + chr(6566 - 6466) + '\x65')(chr(117) + '\164' + '\146' + chr(0b10010 + 0o33) + chr(145 - 89)), FXNJIrDAzcxy)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3\x06\x1b\xba\x18\xdb\x87\x18\xe2\x13\xc2p'), chr(100) + chr(0b1100101) + chr(7680 - 7581) + '\157' + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(153 - 108) + chr(1861 - 1805)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd46\x12\x8b\x10\xc1\xa1%\xb4D\xdb#0 ?\x0bT\x9ff\xde\xecUb\xfc\xeb\x96'), chr(1210 - 1110) + chr(101) + chr(0b100011 + 0o100) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(7976 - 7860) + chr(0b100111 + 0o77) + chr(381 - 336) + chr(0b111000 + 0o0)), klkIVilDKnwv)
raise MO1jGuXEVWyF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc3+\x0b\x98\x18\x8f\xa9(\xa7\r\xd5.7i9\x0b\x07\xder\xcf\xf7_6\xfc\xbd\x80\xebF"G\'\x1f'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(111) + chr(8773 - 8673) + chr(912 - 811))(chr(0b1110 + 0o147) + chr(116) + chr(102) + chr(45) + chr(56)))
return go8qkK5qcgxB(ErHgKhTO5Wfb)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.add_predicate
|
def add_predicate(self, name: str, function: Callable, side_arguments: List[str] = None):
"""
Adds a predicate to this domain language. Typically you do this with the ``@predicate``
decorator on the methods in your class. But, if you need to for whatever reason, you can
also call this function yourself with a (type-annotated) function to add it to your
language.
Parameters
----------
name : ``str``
The name that we will use in the induced language for this function.
function : ``Callable``
The function that gets called when executing a predicate with the given name.
side_arguments : ``List[str]``, optional
If given, we will ignore these arguments for the purposes of grammar induction. This
is to allow passing extra arguments from the decoder state that are not explicitly part
of the language the decoder produces, such as the decoder's attention over the question
when a terminal was predicted. If you use this functionality, you also `must` use
``language.execute_action_sequence()`` instead of ``language.execute()``, and you must
pass the additional side arguments needed to that function. See
:func:`execute_action_sequence` for more information.
"""
side_arguments = side_arguments or []
signature = inspect.signature(function)
argument_types = [param.annotation for name, param in signature.parameters.items()
if name not in side_arguments]
return_type = signature.return_annotation
argument_nltk_types: List[PredicateType] = [PredicateType.get_type(arg_type)
for arg_type in argument_types]
return_nltk_type = PredicateType.get_type(return_type)
function_nltk_type = PredicateType.get_function_type(argument_nltk_types, return_nltk_type)
self._functions[name] = function
self._function_types[name].append(function_nltk_type)
|
python
|
def add_predicate(self, name: str, function: Callable, side_arguments: List[str] = None):
"""
Adds a predicate to this domain language. Typically you do this with the ``@predicate``
decorator on the methods in your class. But, if you need to for whatever reason, you can
also call this function yourself with a (type-annotated) function to add it to your
language.
Parameters
----------
name : ``str``
The name that we will use in the induced language for this function.
function : ``Callable``
The function that gets called when executing a predicate with the given name.
side_arguments : ``List[str]``, optional
If given, we will ignore these arguments for the purposes of grammar induction. This
is to allow passing extra arguments from the decoder state that are not explicitly part
of the language the decoder produces, such as the decoder's attention over the question
when a terminal was predicted. If you use this functionality, you also `must` use
``language.execute_action_sequence()`` instead of ``language.execute()``, and you must
pass the additional side arguments needed to that function. See
:func:`execute_action_sequence` for more information.
"""
side_arguments = side_arguments or []
signature = inspect.signature(function)
argument_types = [param.annotation for name, param in signature.parameters.items()
if name not in side_arguments]
return_type = signature.return_annotation
argument_nltk_types: List[PredicateType] = [PredicateType.get_type(arg_type)
for arg_type in argument_types]
return_nltk_type = PredicateType.get_type(return_type)
function_nltk_type = PredicateType.get_function_type(argument_nltk_types, return_nltk_type)
self._functions[name] = function
self._function_types[name].append(function_nltk_type)
|
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"PredicateType",
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",",
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")",
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".",
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"[",
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"=",
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"self",
".",
"_function_types",
"[",
"name",
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".",
"append",
"(",
"function_nltk_type",
")"
] |
Adds a predicate to this domain language. Typically you do this with the ``@predicate``
decorator on the methods in your class. But, if you need to for whatever reason, you can
also call this function yourself with a (type-annotated) function to add it to your
language.
Parameters
----------
name : ``str``
The name that we will use in the induced language for this function.
function : ``Callable``
The function that gets called when executing a predicate with the given name.
side_arguments : ``List[str]``, optional
If given, we will ignore these arguments for the purposes of grammar induction. This
is to allow passing extra arguments from the decoder state that are not explicitly part
of the language the decoder produces, such as the decoder's attention over the question
when a terminal was predicted. If you use this functionality, you also `must` use
``language.execute_action_sequence()`` instead of ``language.execute()``, and you must
pass the additional side arguments needed to that function. See
:func:`execute_action_sequence` for more information.
|
[
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"this",
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"your",
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"this",
"function",
"yourself",
"with",
"a",
"(",
"type",
"-",
"annotated",
")",
"function",
"to",
"add",
"it",
"to",
"your",
"language",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L438-L470
|
train
|
Adds a predicate to the internal dictionary.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\x33' + '\x32' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(49) + '\x37' + chr(0b1100 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(1318 - 1267) + chr(0b0 + 0o65), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11010 + 0o32) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\062' + chr(998 - 943) + chr(1794 - 1742), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(50) + chr(2160 - 2108) + '\062', 62456 - 62448), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(49), 13190 - 13182), ehT0Px3KOsy9('\x30' + chr(5877 - 5766) + chr(2144 - 2093) + chr(55) + '\x35', 14125 - 14117), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000101 + 0o52) + '\x36' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + chr(192 - 143) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10100 + 0o133) + chr(50) + chr(1679 - 1625) + chr(0b1101 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(1492 - 1441) + chr(650 - 595) + chr(0b11111 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2588 - 2537) + chr(49) + chr(1201 - 1146), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + '\x33' + chr(297 - 242), 41808 - 41800), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x37' + chr(0b110001 + 0o0), 40444 - 40436), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x30' + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(53) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + '\062' + '\062', 24019 - 24011), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(699 - 649) + '\066' + '\066', 49364 - 49356), ehT0Px3KOsy9(chr(526 - 478) + '\157' + chr(50) + '\x30', 33688 - 33680), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b100101 + 0o22) + chr(49), 8), ehT0Px3KOsy9(chr(2156 - 2108) + chr(0b1010011 + 0o34) + chr(0b110001) + '\x34' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10010 + 0o41) + chr(55) + chr(0b110010), 31881 - 31873), ehT0Px3KOsy9(chr(0b110000) + chr(11379 - 11268) + chr(2264 - 2215) + chr(0b101011 + 0o5) + chr(0b100100 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b11101 + 0o24) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000010 + 0o55) + chr(0b110001) + chr(0b110101) + chr(1318 - 1269), 0o10), ehT0Px3KOsy9(chr(601 - 553) + '\x6f' + '\x32' + '\060' + chr(0b110111), 0o10), ehT0Px3KOsy9('\060' + chr(7292 - 7181) + '\062' + '\x36' + chr(1283 - 1229), 8), ehT0Px3KOsy9('\x30' + chr(111) + chr(2537 - 2486), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111 + 0o0) + chr(995 - 946) + chr(52) + chr(536 - 481), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100111 + 0o13) + '\x34' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100010 + 0o15) + chr(114 - 63) + chr(0b10010 + 0o36) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(0b0 + 0o60) + chr(0b1100 + 0o53), 0b1000), ehT0Px3KOsy9(chr(0b11011 + 0o25) + '\x6f' + chr(0b110001) + chr(0b10010 + 0o40) + chr(1110 - 1059), 14214 - 14206), ehT0Px3KOsy9(chr(2040 - 1992) + '\x6f' + '\062' + '\x36' + '\062', 0o10), ehT0Px3KOsy9(chr(48) + chr(8050 - 7939) + chr(0b110101) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(2061 - 2013) + '\157' + chr(1052 - 1003) + '\x32', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(1205 - 1156) + chr(0b110000) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\067' + chr(706 - 656), 36821 - 36813), ehT0Px3KOsy9(chr(183 - 135) + '\x6f' + chr(49) + chr(0b110001) + '\x35', 65529 - 65521)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1100100 + 0o13) + chr(53) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(0b1001000 + 0o34) + '\145' + '\143' + chr(369 - 258) + '\x64' + chr(0b1000101 + 0o40))(chr(5883 - 5766) + chr(0b1011110 + 0o26) + '\146' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def hzgEd0rtjka3(oVre8I6UXc3b, AIvJRzLdDfgF, bBC93MgSHzUB, Z33WzR1MnG4V=None):
Z33WzR1MnG4V = Z33WzR1MnG4V or []
W65V97aJT0Tb = kzXqv8ZZwm75.signature(bBC93MgSHzUB)
DjtzGpnspIKq = [NOaGA2BHucaX.annotation for (AIvJRzLdDfgF, NOaGA2BHucaX) in W65V97aJT0Tb.parameters.NzveIZ3IlSH9() if AIvJRzLdDfgF not in Z33WzR1MnG4V]
ELL59KGwZKj3 = W65V97aJT0Tb.return_annotation
AyEyTm8BBbXf = [YPmBFLkEKJVV.get_type(u88a6oLul0L6) for u88a6oLul0L6 in DjtzGpnspIKq]
nJhf8YcJoNrZ = YPmBFLkEKJVV.get_type(ELL59KGwZKj3)
fSSINaeTPnit = YPmBFLkEKJVV.get_function_type(AyEyTm8BBbXf, nJhf8YcJoNrZ)
oVre8I6UXc3b.Ggq5QBq2xVP8[AIvJRzLdDfgF] = bBC93MgSHzUB
xafqLlk3kkUe(oVre8I6UXc3b._function_types[AIvJRzLdDfgF], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5\t\xedA\xd2\xc6'), chr(0b1001001 + 0o33) + chr(0b1011010 + 0o13) + chr(7867 - 7768) + '\157' + chr(100) + chr(0b1000 + 0o135))('\x75' + '\x74' + chr(6058 - 5956) + chr(148 - 103) + chr(0b111000)))(fSSINaeTPnit)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.add_constant
|
def add_constant(self, name: str, value: Any, type_: Type = None):
"""
Adds a constant to this domain language. You would typically just pass in a list of
constants to the ``super().__init__()`` call in your constructor, but you can also call
this method to add constants if it is more convenient.
Because we construct a grammar over this language for you, in order for the grammar to be
finite we cannot allow arbitrary constants. Having a finite grammar is important when
you're doing semantic parsing - we need to be able to search over this space, and compute
normalized probability distributions.
"""
value_type = type_ if type_ else type(value)
constant_type = PredicateType.get_type(value_type)
self._functions[name] = lambda: value
self._function_types[name].append(constant_type)
|
python
|
def add_constant(self, name: str, value: Any, type_: Type = None):
"""
Adds a constant to this domain language. You would typically just pass in a list of
constants to the ``super().__init__()`` call in your constructor, but you can also call
this method to add constants if it is more convenient.
Because we construct a grammar over this language for you, in order for the grammar to be
finite we cannot allow arbitrary constants. Having a finite grammar is important when
you're doing semantic parsing - we need to be able to search over this space, and compute
normalized probability distributions.
"""
value_type = type_ if type_ else type(value)
constant_type = PredicateType.get_type(value_type)
self._functions[name] = lambda: value
self._function_types[name].append(constant_type)
|
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",",
"name",
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",",
"value",
":",
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",",
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":",
"Type",
"=",
"None",
")",
":",
"value_type",
"=",
"type_",
"if",
"type_",
"else",
"type",
"(",
"value",
")",
"constant_type",
"=",
"PredicateType",
".",
"get_type",
"(",
"value_type",
")",
"self",
".",
"_functions",
"[",
"name",
"]",
"=",
"lambda",
":",
"value",
"self",
".",
"_function_types",
"[",
"name",
"]",
".",
"append",
"(",
"constant_type",
")"
] |
Adds a constant to this domain language. You would typically just pass in a list of
constants to the ``super().__init__()`` call in your constructor, but you can also call
this method to add constants if it is more convenient.
Because we construct a grammar over this language for you, in order for the grammar to be
finite we cannot allow arbitrary constants. Having a finite grammar is important when
you're doing semantic parsing - we need to be able to search over this space, and compute
normalized probability distributions.
|
[
"Adds",
"a",
"constant",
"to",
"this",
"domain",
"language",
".",
"You",
"would",
"typically",
"just",
"pass",
"in",
"a",
"list",
"of",
"constants",
"to",
"the",
"super",
"()",
".",
"__init__",
"()",
"call",
"in",
"your",
"constructor",
"but",
"you",
"can",
"also",
"call",
"this",
"method",
"to",
"add",
"constants",
"if",
"it",
"is",
"more",
"convenient",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L472-L486
|
train
|
Adds a constant to this domain language.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1111 + 0o42) + '\x37' + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\157' + '\x33' + '\x32' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b11110 + 0o24) + chr(52) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111111 + 0o60) + '\x33' + '\063' + chr(48), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + chr(55) + chr(749 - 697), 8), ehT0Px3KOsy9(chr(1403 - 1355) + chr(6012 - 5901) + '\x31' + chr(0b1100 + 0o44) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + '\x31' + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1921 - 1873) + chr(111) + chr(431 - 380) + chr(0b100011 + 0o16), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110001 + 0o0) + chr(0b110011 + 0o2) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(1928 - 1877), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010001 + 0o36) + '\061' + '\061' + chr(53), 25869 - 25861), ehT0Px3KOsy9(chr(1574 - 1526) + chr(0b100110 + 0o111) + '\x32' + '\062' + chr(0b10101 + 0o35), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(49) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b11011 + 0o124) + chr(0b110010) + chr(0b11110 + 0o22), 49801 - 49793), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11101 + 0o25) + chr(0b110100) + chr(1342 - 1291), 0o10), ehT0Px3KOsy9(chr(366 - 318) + '\157' + chr(756 - 705) + chr(49) + '\x35', 7300 - 7292), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + '\061', 0o10), ehT0Px3KOsy9(chr(68 - 20) + '\x6f' + '\x31' + '\x31' + chr(0b100110 + 0o15), 0b1000), ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(1364 - 1315) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x34' + '\064', 60293 - 60285), ehT0Px3KOsy9(chr(0b0 + 0o60) + '\157' + chr(767 - 717) + '\x31' + chr(506 - 457), 42908 - 42900), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(0b110011) + chr(2956 - 2901) + chr(1129 - 1074), ord("\x08")), ehT0Px3KOsy9(chr(879 - 831) + chr(0b1101111) + chr(0b110010) + '\x31' + '\x31', 8), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b100110 + 0o111) + '\063' + chr(811 - 759) + chr(0b100111 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(54) + chr(0b10100 + 0o42), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\063' + '\x37', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(190 - 141) + '\067' + '\066', 0b1000), ehT0Px3KOsy9(chr(1578 - 1530) + chr(0b101111 + 0o100) + '\x33' + chr(1654 - 1603) + chr(1179 - 1130), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(55) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(122 - 74) + chr(111) + chr(0b110011) + chr(0b110110) + chr(0b110100), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(0b110001 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x32' + chr(0b1010 + 0o50), 8), ehT0Px3KOsy9(chr(1713 - 1665) + '\x6f' + '\062' + chr(1854 - 1806) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\x31' + '\x30' + chr(0b11011 + 0o32), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b10000 + 0o41) + '\x33', 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b11 + 0o154) + '\x31' + '\062' + '\x37', 1803 - 1795), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\063' + chr(1481 - 1427) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8307 - 8196) + chr(1822 - 1773) + chr(55), 0b1000), ehT0Px3KOsy9(chr(2262 - 2214) + '\157' + '\062' + chr(50) + chr(48), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(849 - 801) + chr(111) + '\065' + chr(0b101111 + 0o1), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'R'), '\x64' + chr(0b1111 + 0o126) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + '\x65')(chr(0b1110101) + chr(116) + chr(0b1100110) + '\x2d' + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def Q3TmWTPdtwwX(oVre8I6UXc3b, AIvJRzLdDfgF, QmmgWUB13VCJ, wglhj4WQZuCT=None):
Mkc1eSH9mVGe = wglhj4WQZuCT if wglhj4WQZuCT else wmQmyeWBmUpv(QmmgWUB13VCJ)
Sv_PjCA164hG = YPmBFLkEKJVV.get_type(Mkc1eSH9mVGe)
oVre8I6UXc3b.Ggq5QBq2xVP8[AIvJRzLdDfgF] = lambda : QmmgWUB13VCJ
xafqLlk3kkUe(oVre8I6UXc3b._function_types[AIvJRzLdDfgF], xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d\xa0\xd5\xbd\x12"'), chr(9997 - 9897) + '\x65' + chr(0b1100011) + chr(780 - 669) + chr(0b1100100) + chr(0b1100101))(chr(0b1101000 + 0o15) + chr(116) + chr(0b1000101 + 0o41) + chr(45) + chr(0b110010 + 0o6)))(Sv_PjCA164hG)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage.is_nonterminal
|
def is_nonterminal(self, symbol: str) -> bool:
"""
Determines whether an input symbol is a valid non-terminal in the grammar.
"""
nonterminal_productions = self.get_nonterminal_productions()
return symbol in nonterminal_productions
|
python
|
def is_nonterminal(self, symbol: str) -> bool:
"""
Determines whether an input symbol is a valid non-terminal in the grammar.
"""
nonterminal_productions = self.get_nonterminal_productions()
return symbol in nonterminal_productions
|
[
"def",
"is_nonterminal",
"(",
"self",
",",
"symbol",
":",
"str",
")",
"->",
"bool",
":",
"nonterminal_productions",
"=",
"self",
".",
"get_nonterminal_productions",
"(",
")",
"return",
"symbol",
"in",
"nonterminal_productions"
] |
Determines whether an input symbol is a valid non-terminal in the grammar.
|
[
"Determines",
"whether",
"an",
"input",
"symbol",
"is",
"a",
"valid",
"non",
"-",
"terminal",
"in",
"the",
"grammar",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L488-L493
|
train
|
Determines whether an input symbol is a valid non - terminal in the grammar.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1001110 + 0o41) + chr(0b110001) + '\x34' + '\061', 0o10), ehT0Px3KOsy9(chr(523 - 475) + '\x6f' + chr(1519 - 1468), 0o10), ehT0Px3KOsy9('\060' + chr(6466 - 6355) + chr(320 - 269) + chr(2801 - 2746) + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(2411 - 2300) + chr(49) + '\x34' + chr(0b100110 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(841 - 793) + chr(0b1000011 + 0o54) + chr(51) + '\x30' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(683 - 635) + chr(0b1101111) + '\062' + chr(0b110010) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(49) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(54) + chr(52), 0o10), ehT0Px3KOsy9('\060' + chr(11369 - 11258) + chr(0b110001) + chr(51) + chr(0b10100 + 0o36), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(49) + chr(0b110110) + '\061', 44173 - 44165), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(7232 - 7121) + chr(1703 - 1653) + chr(0b110000) + chr(0b110000), 59229 - 59221), ehT0Px3KOsy9('\x30' + chr(2876 - 2765) + chr(0b1001 + 0o51) + '\x36' + chr(1292 - 1239), 0o10), ehT0Px3KOsy9(chr(217 - 169) + chr(0b1000010 + 0o55) + chr(0b110001) + '\x34' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x36' + chr(2180 - 2131), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + '\061' + '\x33' + chr(0b110100), 25191 - 25183), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + chr(1839 - 1789) + '\062', 36898 - 36890), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(0b110011 + 0o2) + chr(55), 7254 - 7246), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11000 + 0o32) + '\x33' + chr(54), 0b1000), ehT0Px3KOsy9(chr(2270 - 2222) + chr(111) + chr(51) + '\x37' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(989 - 937) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + '\x37' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1001001 + 0o46) + '\x31' + '\066' + '\x33', 0b1000), ehT0Px3KOsy9(chr(508 - 460) + '\157' + chr(0b0 + 0o62) + chr(388 - 334) + '\066', 0b1000), ehT0Px3KOsy9(chr(1133 - 1085) + '\157' + '\062' + chr(0b100101 + 0o17) + '\060', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b0 + 0o157) + chr(0b110001) + chr(54) + chr(0b1001 + 0o52), 8), ehT0Px3KOsy9('\x30' + chr(0b110100 + 0o73) + chr(50) + chr(2409 - 2358) + chr(0b110110), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(51) + chr(0b110101 + 0o0), 65019 - 65011), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + '\063' + '\x34' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\067' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11100 + 0o123) + chr(946 - 895) + chr(0b1000 + 0o55) + '\063', 0o10), ehT0Px3KOsy9(chr(986 - 938) + chr(9583 - 9472) + chr(0b100100 + 0o15) + chr(0b111 + 0o51) + chr(0b101100 + 0o7), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101101 + 0o2) + chr(50) + '\064' + '\063', 0o10), ehT0Px3KOsy9(chr(889 - 841) + chr(0b1101111) + chr(0b11 + 0o60) + chr(0b110000) + chr(908 - 860), 56855 - 56847), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11111 + 0o23) + chr(50), 8), ehT0Px3KOsy9('\060' + chr(2340 - 2229) + chr(0b110100) + '\063', 0b1000), ehT0Px3KOsy9(chr(1451 - 1403) + '\x6f' + '\063' + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(337 - 289) + '\157' + chr(51) + chr(55) + chr(0b1000 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5562 - 5451) + chr(569 - 519) + '\x36' + chr(0b10110 + 0o40), 8), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + '\065' + chr(1492 - 1439), 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b1101111) + chr(337 - 286) + chr(0b110001) + '\061', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2163 - 2115) + chr(0b1000101 + 0o52) + chr(0b100110 + 0o17) + '\060', 54776 - 54768)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), chr(100) + '\145' + '\143' + chr(10714 - 10603) + chr(3270 - 3170) + chr(0b1100101))(chr(5298 - 5181) + chr(116) + chr(0b101011 + 0o73) + '\x2d' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iW4qfgQZQccm(oVre8I6UXc3b, Usr5ykvL2UZF) -> WbBjf8Y7v9VN:
gnaHc3Jbqa8N = oVre8I6UXc3b.get_nonterminal_productions()
return Usr5ykvL2UZF in gnaHc3Jbqa8N
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage._execute_expression
|
def _execute_expression(self, expression: Any):
"""
This does the bulk of the work of executing a logical form, recursively executing a single
expression. Basically, if the expression is a function we know about, we evaluate its
arguments then call the function. If it's a list, we evaluate all elements of the list.
If it's a constant (or a zero-argument function), we evaluate the constant.
"""
# pylint: disable=too-many-return-statements
if isinstance(expression, list):
if isinstance(expression[0], list):
function = self._execute_expression(expression[0])
elif expression[0] in self._functions:
function = self._functions[expression[0]]
else:
if isinstance(expression[0], str):
raise ExecutionError(f"Unrecognized function: {expression[0]}")
else:
raise ExecutionError(f"Unsupported expression type: {expression}")
arguments = [self._execute_expression(arg) for arg in expression[1:]]
try:
return function(*arguments)
except (TypeError, ValueError):
traceback.print_exc()
raise ExecutionError(f"Error executing expression {expression} (see stderr for stack trace)")
elif isinstance(expression, str):
if expression not in self._functions:
raise ExecutionError(f"Unrecognized constant: {expression}")
# This is a bit of a quirk in how we represent constants and zero-argument functions.
# For consistency, constants are wrapped in a zero-argument lambda. So both constants
# and zero-argument functions are callable in `self._functions`, and are `BasicTypes`
# in `self._function_types`. For these, we want to return
# `self._functions[expression]()` _calling_ the zero-argument function. If we get a
# `FunctionType` in here, that means we're referring to the function as a first-class
# object, instead of calling it (maybe as an argument to a higher-order function). In
# that case, we return the function _without_ calling it.
# Also, we just check the first function type here, because we assume you haven't
# registered the same function with both a constant type and a `FunctionType`.
if isinstance(self._function_types[expression][0], FunctionType):
return self._functions[expression]
else:
return self._functions[expression]()
return self._functions[expression]
else:
raise ExecutionError("Not sure how you got here. Please open a github issue with details.")
|
python
|
def _execute_expression(self, expression: Any):
"""
This does the bulk of the work of executing a logical form, recursively executing a single
expression. Basically, if the expression is a function we know about, we evaluate its
arguments then call the function. If it's a list, we evaluate all elements of the list.
If it's a constant (or a zero-argument function), we evaluate the constant.
"""
# pylint: disable=too-many-return-statements
if isinstance(expression, list):
if isinstance(expression[0], list):
function = self._execute_expression(expression[0])
elif expression[0] in self._functions:
function = self._functions[expression[0]]
else:
if isinstance(expression[0], str):
raise ExecutionError(f"Unrecognized function: {expression[0]}")
else:
raise ExecutionError(f"Unsupported expression type: {expression}")
arguments = [self._execute_expression(arg) for arg in expression[1:]]
try:
return function(*arguments)
except (TypeError, ValueError):
traceback.print_exc()
raise ExecutionError(f"Error executing expression {expression} (see stderr for stack trace)")
elif isinstance(expression, str):
if expression not in self._functions:
raise ExecutionError(f"Unrecognized constant: {expression}")
# This is a bit of a quirk in how we represent constants and zero-argument functions.
# For consistency, constants are wrapped in a zero-argument lambda. So both constants
# and zero-argument functions are callable in `self._functions`, and are `BasicTypes`
# in `self._function_types`. For these, we want to return
# `self._functions[expression]()` _calling_ the zero-argument function. If we get a
# `FunctionType` in here, that means we're referring to the function as a first-class
# object, instead of calling it (maybe as an argument to a higher-order function). In
# that case, we return the function _without_ calling it.
# Also, we just check the first function type here, because we assume you haven't
# registered the same function with both a constant type and a `FunctionType`.
if isinstance(self._function_types[expression][0], FunctionType):
return self._functions[expression]
else:
return self._functions[expression]()
return self._functions[expression]
else:
raise ExecutionError("Not sure how you got here. Please open a github issue with details.")
|
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"# and zero-argument functions are callable in `self._functions`, and are `BasicTypes`",
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"# `FunctionType` in here, that means we're referring to the function as a first-class",
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"\"Not sure how you got here. Please open a github issue with details.\"",
")"
] |
This does the bulk of the work of executing a logical form, recursively executing a single
expression. Basically, if the expression is a function we know about, we evaluate its
arguments then call the function. If it's a list, we evaluate all elements of the list.
If it's a constant (or a zero-argument function), we evaluate the constant.
|
[
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"bulk",
"of",
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"of",
"executing",
"a",
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"a",
"single",
"expression",
".",
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L496-L539
|
train
|
Executes a logical form of expression.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x33' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(5392 - 5281) + '\061' + chr(0b100 + 0o57) + chr(50), 0b1000), ehT0Px3KOsy9(chr(189 - 141) + chr(0b111000 + 0o67) + '\x33' + '\x31' + chr(50), 60428 - 60420), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(0b110011) + chr(53) + chr(0b100110 + 0o15), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(891 - 780) + chr(0b110011) + '\065' + '\x37', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000100 + 0o53) + '\x32' + chr(1739 - 1690) + chr(0b0 + 0o60), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010100 + 0o33) + chr(554 - 504) + '\066' + chr(2646 - 2594), ord("\x08")), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(111) + chr(50) + chr(1908 - 1857) + chr(1829 - 1777), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + '\063' + chr(0b101100 + 0o5) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(2075 - 2024) + '\064' + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(0b100011 + 0o114) + chr(50) + chr(0b11000 + 0o34) + chr(2327 - 2274), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8455 - 8344) + '\x31' + chr(886 - 835) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(843 - 795) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(50) + chr(55), 0o10), ehT0Px3KOsy9(chr(1271 - 1223) + chr(1161 - 1050) + '\065', 34709 - 34701), ehT0Px3KOsy9(chr(446 - 398) + '\157' + chr(0b110001) + chr(1369 - 1317) + '\061', 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1100001 + 0o16) + '\x33' + '\x31' + chr(1745 - 1691), ord("\x08")), ehT0Px3KOsy9(chr(198 - 150) + chr(939 - 828) + chr(54) + '\x31', 0b1000), ehT0Px3KOsy9(chr(1042 - 994) + chr(0b11101 + 0o122) + chr(54) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9594 - 9483) + '\061' + '\066', 60198 - 60190), ehT0Px3KOsy9(chr(48) + chr(1093 - 982) + '\x33' + chr(0b110001) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1011100 + 0o23) + chr(0b101110 + 0o3) + '\065' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(1152 - 1099) + chr(1747 - 1696), 8), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(1438 - 1387) + chr(0b11 + 0o55) + chr(50), 0o10), ehT0Px3KOsy9(chr(712 - 664) + chr(0b1001111 + 0o40) + chr(1341 - 1292) + '\064' + chr(0b11101 + 0o30), 61798 - 61790), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b1100 + 0o47) + '\x35' + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(1841 - 1793) + chr(0b1101111) + chr(51) + '\x35' + '\066', 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(52) + '\060', 0b1000), ehT0Px3KOsy9(chr(774 - 726) + chr(0b1101111) + chr(0b110011) + chr(0b110100) + chr(0b101011 + 0o12), 58208 - 58200), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + '\064' + chr(51), 49292 - 49284), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(1717 - 1606) + chr(594 - 543) + chr(49) + '\x32', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b110001 + 0o76) + chr(0b110011) + '\067' + chr(0b100110 + 0o16), 51736 - 51728), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1566 - 1516) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(2047 - 1999) + '\157' + '\x31' + chr(0b100111 + 0o13) + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + '\x34' + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(451 - 398) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + chr(0b10111 + 0o34) + chr(0b110011) + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b10111 + 0o34) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(156 - 108) + '\157' + chr(1462 - 1413), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(9637 - 9526) + chr(0b110101) + '\x30', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xb1'), chr(0b101010 + 0o72) + '\x65' + chr(99) + '\157' + '\x64' + chr(8469 - 8368))(chr(0b100001 + 0o124) + chr(12928 - 12812) + chr(3974 - 3872) + chr(1544 - 1499) + chr(1103 - 1047)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def NjkNHudkacsa(oVre8I6UXc3b, heJELtuJu3My):
if PlSM16l2KDPD(heJELtuJu3My, YyaZ4tpXu4lf):
if PlSM16l2KDPD(heJELtuJu3My[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 35376 - 35368)], YyaZ4tpXu4lf):
bBC93MgSHzUB = oVre8I6UXc3b._execute_expression(heJELtuJu3My[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1010011 + 0o34) + '\x30', 8)])
elif heJELtuJu3My[ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\060', 8)] in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8=\xbb\xde\xbe\xcaF\x86\xe4\x9e\xb7\x9d'), '\144' + '\145' + chr(2635 - 2536) + chr(0b1101101 + 0o2) + chr(0b1100100) + '\145')('\x75' + chr(116) + '\x66' + chr(0b100110 + 0o7) + chr(0b100101 + 0o23))):
bBC93MgSHzUB = oVre8I6UXc3b.Ggq5QBq2xVP8[heJELtuJu3My[ehT0Px3KOsy9(chr(0b111 + 0o51) + '\157' + chr(48), 8)]]
elif PlSM16l2KDPD(heJELtuJu3My[ehT0Px3KOsy9(chr(48) + chr(0b110111 + 0o70) + chr(48), 8)], M8_cKLkHVB2V):
raise POyjkXRsHLE3(f'Unrecognized function: {heJELtuJu3My[0]}')
else:
raise POyjkXRsHLE3(f'Unsupported expression type: {heJELtuJu3My}')
PSzOAxeRmbgw = [oVre8I6UXc3b._execute_expression(LTE9MPUbqSos) for LTE9MPUbqSos in heJELtuJu3My[ehT0Px3KOsy9(chr(541 - 493) + chr(111) + '\x31', 8):]]
try:
return bBC93MgSHzUB(*PSzOAxeRmbgw)
except (sznFqDbNBHlx, q1QCh3W88sgk):
xafqLlk3kkUe(CiXxQDnt84wa, xafqLlk3kkUe(SXOLrMavuUCe(b'\xef(\xa3\x85\x9b\xd7R\xcc\xff'), chr(100) + '\x65' + chr(0b100000 + 0o103) + '\x6f' + '\144' + '\145')('\x75' + chr(5507 - 5391) + chr(102) + '\055' + chr(0b10101 + 0o43)))()
raise POyjkXRsHLE3(f'Error executing expression {heJELtuJu3My} (see stderr for stack trace)')
elif PlSM16l2KDPD(heJELtuJu3My, M8_cKLkHVB2V):
if heJELtuJu3My not in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8=\xbb\xde\xbe\xcaF\x86\xe4\x9e\xb7\x9d'), '\144' + '\x65' + chr(99) + chr(0b111110 + 0o61) + chr(6246 - 6146) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(102) + chr(0b101101) + chr(763 - 707))):
raise POyjkXRsHLE3(f'Unrecognized constant: {heJELtuJu3My}')
if PlSM16l2KDPD(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0<\xbf\x85\x8c\xfc^\xdb\xf2\x97\x93\xdc.\xa0$'), chr(0b1011110 + 0o6) + chr(0b1000101 + 0o40) + chr(99) + chr(11021 - 10910) + chr(3764 - 3664) + chr(0b110011 + 0o62))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b100111 + 0o21)))[heJELtuJu3My][ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(302 - 254), 8)], ric04wOk_EeU):
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8=\xbb\xde\xbe\xcaF\x86\xe4\x9e\xb7\x9d'), chr(5346 - 5246) + chr(101) + chr(4437 - 4338) + chr(111) + chr(3335 - 3235) + '\x65')(chr(117) + '\164' + chr(313 - 211) + chr(0b100110 + 0o7) + '\x38'))[heJELtuJu3My]
else:
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8=\xbb\xde\xbe\xcaF\x86\xe4\x9e\xb7\x9d'), chr(100) + chr(0b10111 + 0o116) + '\x63' + chr(0b1100101 + 0o12) + chr(4345 - 4245) + chr(0b1100101))(chr(299 - 182) + chr(697 - 581) + chr(9704 - 9602) + chr(0b101101) + chr(0b111000)))[heJELtuJu3My]()
return xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd8=\xbb\xde\xbe\xcaF\x86\xe4\x9e\xb7\x9d'), '\x64' + '\x65' + '\143' + chr(111) + chr(100) + chr(101))(chr(0b1110101) + chr(0b1 + 0o163) + chr(0b1100110) + chr(45) + chr(0b100011 + 0o25)))[heJELtuJu3My]
else:
raise POyjkXRsHLE3(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd15\xbe\xcb\x9c\xfdE\xd1\xbc\xa0\x88\xd2~\xbc8pA\xa9^B.\xa0\x0b\x99\xa7K\xcd\xbeL\x80\x02\xb9\x99\xb58\x15\r\xb7\xe1`\xbf=\xa3\x9f\x87\xfdU\x94\xf5\xbb\x94\xd0;\xe5 l\x15\xa6\x11Rk\xbc\x0f\x82\xae\x16\xc3'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1010011 + 0o34) + '\144' + '\x65')(chr(117) + chr(116) + '\146' + '\x2d' + '\x38'))
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage._execute_sequence
|
def _execute_sequence(self,
action_sequence: List[str],
side_arguments: List[Dict]) -> Tuple[Any, List[str], List[Dict]]:
"""
This does the bulk of the work of :func:`execute_action_sequence`, recursively executing
the functions it finds and trimming actions off of the action sequence. The return value
is a tuple of (execution, remaining_actions), where the second value is necessary to handle
the recursion.
"""
first_action = action_sequence[0]
remaining_actions = action_sequence[1:]
remaining_side_args = side_arguments[1:] if side_arguments else None
right_side = first_action.split(' -> ')[1]
if right_side in self._functions:
function = self._functions[right_side]
# mypy doesn't like this check, saying that Callable isn't a reasonable thing to pass
# here. But it works just fine; I'm not sure why mypy complains about it.
if isinstance(function, Callable): # type: ignore
function_arguments = inspect.signature(function).parameters
if not function_arguments:
# This was a zero-argument function / constant that was registered as a lambda
# function, for consistency of execution in `execute()`.
execution_value = function()
elif side_arguments:
kwargs = {}
non_kwargs = []
for argument_name in function_arguments:
if argument_name in side_arguments[0]:
kwargs[argument_name] = side_arguments[0][argument_name]
else:
non_kwargs.append(argument_name)
if kwargs and non_kwargs:
# This is a function that has both side arguments and logical form
# arguments - we curry the function so only the logical form arguments are
# left.
def curried_function(*args):
return function(*args, **kwargs)
execution_value = curried_function
elif kwargs:
# This is a function that _only_ has side arguments - we just call the
# function and return a value.
execution_value = function(**kwargs)
else:
# This is a function that has logical form arguments, but no side arguments
# that match what we were given - just return the function itself.
execution_value = function
else:
execution_value = function
return execution_value, remaining_actions, remaining_side_args
else:
# This is a non-terminal expansion, like 'int -> [<int:int>, int, int]'. We need to
# get the function and its arguments, then call the function with its arguments.
# Because we linearize the abstract syntax tree depth first, left-to-right, we can just
# recursively call `_execute_sequence` for the function and all of its arguments, and
# things will just work.
right_side_parts = right_side.split(', ')
# We don't really need to know what the types are, just how many of them there are, so
# we recurse the right number of times.
function, remaining_actions, remaining_side_args = self._execute_sequence(remaining_actions,
remaining_side_args)
arguments = []
for _ in right_side_parts[1:]:
argument, remaining_actions, remaining_side_args = self._execute_sequence(remaining_actions,
remaining_side_args)
arguments.append(argument)
return function(*arguments), remaining_actions, remaining_side_args
|
python
|
def _execute_sequence(self,
action_sequence: List[str],
side_arguments: List[Dict]) -> Tuple[Any, List[str], List[Dict]]:
"""
This does the bulk of the work of :func:`execute_action_sequence`, recursively executing
the functions it finds and trimming actions off of the action sequence. The return value
is a tuple of (execution, remaining_actions), where the second value is necessary to handle
the recursion.
"""
first_action = action_sequence[0]
remaining_actions = action_sequence[1:]
remaining_side_args = side_arguments[1:] if side_arguments else None
right_side = first_action.split(' -> ')[1]
if right_side in self._functions:
function = self._functions[right_side]
# mypy doesn't like this check, saying that Callable isn't a reasonable thing to pass
# here. But it works just fine; I'm not sure why mypy complains about it.
if isinstance(function, Callable): # type: ignore
function_arguments = inspect.signature(function).parameters
if not function_arguments:
# This was a zero-argument function / constant that was registered as a lambda
# function, for consistency of execution in `execute()`.
execution_value = function()
elif side_arguments:
kwargs = {}
non_kwargs = []
for argument_name in function_arguments:
if argument_name in side_arguments[0]:
kwargs[argument_name] = side_arguments[0][argument_name]
else:
non_kwargs.append(argument_name)
if kwargs and non_kwargs:
# This is a function that has both side arguments and logical form
# arguments - we curry the function so only the logical form arguments are
# left.
def curried_function(*args):
return function(*args, **kwargs)
execution_value = curried_function
elif kwargs:
# This is a function that _only_ has side arguments - we just call the
# function and return a value.
execution_value = function(**kwargs)
else:
# This is a function that has logical form arguments, but no side arguments
# that match what we were given - just return the function itself.
execution_value = function
else:
execution_value = function
return execution_value, remaining_actions, remaining_side_args
else:
# This is a non-terminal expansion, like 'int -> [<int:int>, int, int]'. We need to
# get the function and its arguments, then call the function with its arguments.
# Because we linearize the abstract syntax tree depth first, left-to-right, we can just
# recursively call `_execute_sequence` for the function and all of its arguments, and
# things will just work.
right_side_parts = right_side.split(', ')
# We don't really need to know what the types are, just how many of them there are, so
# we recurse the right number of times.
function, remaining_actions, remaining_side_args = self._execute_sequence(remaining_actions,
remaining_side_args)
arguments = []
for _ in right_side_parts[1:]:
argument, remaining_actions, remaining_side_args = self._execute_sequence(remaining_actions,
remaining_side_args)
arguments.append(argument)
return function(*arguments), remaining_actions, remaining_side_args
|
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"# This is a function that has both side arguments and logical form",
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"# This is a function that _only_ has side arguments - we just call the",
"# function and return a value.",
"execution_value",
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"(",
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"*",
"kwargs",
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"# This is a function that has logical form arguments, but no side arguments",
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"execution_value",
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"# This is a non-terminal expansion, like 'int -> [<int:int>, int, int]'. We need to",
"# get the function and its arguments, then call the function with its arguments.",
"# Because we linearize the abstract syntax tree depth first, left-to-right, we can just",
"# recursively call `_execute_sequence` for the function and all of its arguments, and",
"# things will just work.",
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")",
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"function",
"(",
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"arguments",
")",
",",
"remaining_actions",
",",
"remaining_side_args"
] |
This does the bulk of the work of :func:`execute_action_sequence`, recursively executing
the functions it finds and trimming actions off of the action sequence. The return value
is a tuple of (execution, remaining_actions), where the second value is necessary to handle
the recursion.
|
[
"This",
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"handle",
"the",
"recursion",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L541-L607
|
train
|
This function executes the action sequence and returns the result of the function that was curried.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(285 - 237) + chr(11623 - 11512) + chr(0b110001) + chr(0b110111) + '\066', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + '\063' + chr(49), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b101111 + 0o3) + chr(571 - 523), 23302 - 23294), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(2065 - 2014) + chr(52), 0o10), ehT0Px3KOsy9(chr(1373 - 1325) + '\x6f' + chr(0b101 + 0o55) + chr(0b100000 + 0o25) + '\065', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(1520 - 1472), 44624 - 44616), ehT0Px3KOsy9(chr(1619 - 1571) + chr(9860 - 9749) + '\x33' + chr(1960 - 1905) + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101 + 0o54) + chr(0b101011 + 0o7) + '\061', 0b1000), ehT0Px3KOsy9(chr(2178 - 2130) + chr(0b1011011 + 0o24) + chr(0b110010) + chr(53) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(798 - 750) + '\x6f' + chr(0b110010) + chr(0b110001) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(111) + chr(0b110001) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(7965 - 7854) + '\x31' + chr(54) + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x31' + '\063' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11011 + 0o27) + '\x32', 0o10), ehT0Px3KOsy9(chr(714 - 666) + chr(111) + '\063' + chr(0b110000) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(996 - 947) + chr(0b100001 + 0o22) + chr(2168 - 2116), 59119 - 59111), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(704 - 656) + '\x6f' + '\x32' + chr(0b110010) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(5286 - 5175) + chr(0b110011) + '\066' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(48) + '\065', 0b1000), ehT0Px3KOsy9(chr(879 - 831) + chr(0b1011 + 0o144) + chr(0b11010 + 0o27) + chr(0b11110 + 0o23) + '\060', 0b1000), ehT0Px3KOsy9('\x30' + chr(6801 - 6690) + chr(0b101110 + 0o5) + chr(0b10011 + 0o41) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1101111) + chr(2177 - 2123) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + chr(51) + chr(0b10011 + 0o43) + chr(0b10011 + 0o44), 8), ehT0Px3KOsy9(chr(48) + '\157' + chr(2157 - 2107) + chr(50) + chr(0b110111), 47670 - 47662), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + '\x33' + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1000001 + 0o56) + '\063' + chr(48) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(5454 - 5343) + chr(0b10111 + 0o34) + chr(0b110001 + 0o1) + '\067', 49966 - 49958), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(552 - 504) + chr(52), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2354 - 2299) + chr(50), 27685 - 27677), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(1202 - 1150) + chr(0b110000), 19507 - 19499), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(48), 293 - 285), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(2981 - 2870) + chr(0b110011) + chr(0b110011) + chr(0b10111 + 0o35), 41383 - 41375), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1101111) + chr(1022 - 973) + chr(52) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b10101 + 0o132) + chr(0b11110 + 0o25) + chr(54) + chr(48), 8), ehT0Px3KOsy9('\x30' + chr(0b11101 + 0o122) + '\062' + chr(53) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(53) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(2115 - 2065) + chr(0b110000) + chr(53), 48755 - 48747)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\157' + '\065' + chr(0b110000), 30838 - 30830)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'P'), '\144' + '\145' + '\143' + '\x6f' + chr(0b1100100) + chr(0b1100101))('\x75' + '\164' + chr(102) + '\055' + chr(1520 - 1464)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def eR_60ULsJT2Q(oVre8I6UXc3b, FXNJIrDAzcxy, Z33WzR1MnG4V) -> MRK8Uzg2En3D[R71nhlWr3XQi, qRxF7OQ0y39T[M8_cKLkHVB2V], qRxF7OQ0y39T[zBnV56fc6HrA]]:
h6F0IIBiouDQ = FXNJIrDAzcxy[ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110000), 8)]
klkIVilDKnwv = FXNJIrDAzcxy[ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(111) + '\061', 0b1000):]
sKaSPAjiDChw = Z33WzR1MnG4V[ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b100101 + 0o112) + chr(0b101 + 0o54), 8):] if Z33WzR1MnG4V else None
ZhTWDDhoiRNo = h6F0IIBiouDQ.split(xafqLlk3kkUe(SXOLrMavuUCe(b'^\xb4\xee\xbc'), chr(100) + chr(0b1100101) + chr(0b1011001 + 0o12) + '\157' + '\144' + chr(0b1100101))(chr(117) + '\x74' + '\x66' + '\x2d' + chr(768 - 712)))[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 8)]
if ZhTWDDhoiRNo in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'9\xfe\xa1\xa9\xfcB\x8fc\xd2\xdb^N'), chr(500 - 400) + chr(0b1000101 + 0o40) + chr(99) + '\157' + chr(0b1100100) + chr(0b1110 + 0o127))(chr(0b1110101) + chr(12808 - 12692) + chr(6311 - 6209) + '\055' + chr(0b111000))):
bBC93MgSHzUB = oVre8I6UXc3b.Ggq5QBq2xVP8[ZhTWDDhoiRNo]
if PlSM16l2KDPD(bBC93MgSHzUB, TPYMKCdTAycN):
K_pRe_1LaOxp = kzXqv8ZZwm75.signature(bBC93MgSHzUB).parameters
if not K_pRe_1LaOxp:
oa2oBlPtLtIo = bBC93MgSHzUB()
elif Z33WzR1MnG4V:
M8EIoTs2GJXE = {}
VEMzZxvj06yk = []
for VaaE6cE9Q8ZL in K_pRe_1LaOxp:
if VaaE6cE9Q8ZL in Z33WzR1MnG4V[ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(965 - 917), 8)]:
M8EIoTs2GJXE[VaaE6cE9Q8ZL] = Z33WzR1MnG4V[ehT0Px3KOsy9('\x30' + '\157' + chr(0b110000), 8)][VaaE6cE9Q8ZL]
else:
xafqLlk3kkUe(VEMzZxvj06yk, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xe9\xa0\xf9\xc3d'), '\144' + chr(0b1011111 + 0o6) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')(chr(13198 - 13081) + '\x74' + chr(102) + chr(1776 - 1731) + chr(1009 - 953)))(VaaE6cE9Q8ZL)
if M8EIoTs2GJXE and VEMzZxvj06yk:
def QR_TVm4X_6SK(*kJDRfRhcZHjS):
return bBC93MgSHzUB(*kJDRfRhcZHjS, **M8EIoTs2GJXE)
oa2oBlPtLtIo = QR_TVm4X_6SK
elif M8EIoTs2GJXE:
oa2oBlPtLtIo = bBC93MgSHzUB(**M8EIoTs2GJXE)
else:
oa2oBlPtLtIo = bBC93MgSHzUB
else:
oa2oBlPtLtIo = bBC93MgSHzUB
return (oa2oBlPtLtIo, klkIVilDKnwv, sKaSPAjiDChw)
else:
FaFg2VlpzKWD = ZhTWDDhoiRNo.split(xafqLlk3kkUe(SXOLrMavuUCe(b'R\xb9'), '\x64' + '\145' + '\x63' + chr(0b101110 + 0o101) + '\x64' + chr(1858 - 1757))(chr(117) + '\164' + '\146' + '\055' + chr(56)))
(bBC93MgSHzUB, klkIVilDKnwv, sKaSPAjiDChw) = oVre8I6UXc3b._execute_sequence(klkIVilDKnwv, sKaSPAjiDChw)
PSzOAxeRmbgw = []
for VNGQdHSFPrso in FaFg2VlpzKWD[ehT0Px3KOsy9(chr(0b110000) + chr(4742 - 4631) + '\061', 8):]:
(Rr5GJryJs6xR, klkIVilDKnwv, sKaSPAjiDChw) = oVre8I6UXc3b._execute_sequence(klkIVilDKnwv, sKaSPAjiDChw)
xafqLlk3kkUe(PSzOAxeRmbgw, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\xe9\xa0\xf9\xc3d'), '\144' + '\x65' + chr(9746 - 9647) + chr(0b10001 + 0o136) + chr(100) + '\145')(chr(2031 - 1914) + chr(116) + chr(0b11110 + 0o110) + chr(0b100111 + 0o6) + chr(56)))(Rr5GJryJs6xR)
return (bBC93MgSHzUB(*PSzOAxeRmbgw), klkIVilDKnwv, sKaSPAjiDChw)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage._get_transitions
|
def _get_transitions(self, expression: Any, expected_type: PredicateType) -> Tuple[List[str], PredicateType]:
"""
This is used when converting a logical form into an action sequence. This piece
recursively translates a lisp expression into an action sequence, making sure we match the
expected type (or using the expected type to get the right type for constant expressions).
"""
if isinstance(expression, (list, tuple)):
function_transitions, return_type, argument_types = self._get_function_transitions(expression[0],
expected_type)
if len(argument_types) != len(expression[1:]):
raise ParsingError(f'Wrong number of arguments for function in {expression}')
argument_transitions = []
for argument_type, subexpression in zip(argument_types, expression[1:]):
argument_transitions.extend(self._get_transitions(subexpression, argument_type)[0])
return function_transitions + argument_transitions, return_type
elif isinstance(expression, str):
if expression not in self._functions:
raise ParsingError(f"Unrecognized constant: {expression}")
constant_types = self._function_types[expression]
if len(constant_types) == 1:
constant_type = constant_types[0]
# This constant had only one type; that's the easy case.
if expected_type and expected_type != constant_type:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found {constant_type})')
return [f'{constant_type} -> {expression}'], constant_type
else:
if not expected_type:
raise ParsingError('With no expected type and multiple types to pick from '
f"I don't know what type to use (constant was {expression})")
if expected_type not in constant_types:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found these options: {constant_types}; none matched)')
return [f'{expected_type} -> {expression}'], expected_type
else:
raise ParsingError('Not sure how you got here. Please open an issue on github with details.')
|
python
|
def _get_transitions(self, expression: Any, expected_type: PredicateType) -> Tuple[List[str], PredicateType]:
"""
This is used when converting a logical form into an action sequence. This piece
recursively translates a lisp expression into an action sequence, making sure we match the
expected type (or using the expected type to get the right type for constant expressions).
"""
if isinstance(expression, (list, tuple)):
function_transitions, return_type, argument_types = self._get_function_transitions(expression[0],
expected_type)
if len(argument_types) != len(expression[1:]):
raise ParsingError(f'Wrong number of arguments for function in {expression}')
argument_transitions = []
for argument_type, subexpression in zip(argument_types, expression[1:]):
argument_transitions.extend(self._get_transitions(subexpression, argument_type)[0])
return function_transitions + argument_transitions, return_type
elif isinstance(expression, str):
if expression not in self._functions:
raise ParsingError(f"Unrecognized constant: {expression}")
constant_types = self._function_types[expression]
if len(constant_types) == 1:
constant_type = constant_types[0]
# This constant had only one type; that's the easy case.
if expected_type and expected_type != constant_type:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found {constant_type})')
return [f'{constant_type} -> {expression}'], constant_type
else:
if not expected_type:
raise ParsingError('With no expected type and multiple types to pick from '
f"I don't know what type to use (constant was {expression})")
if expected_type not in constant_types:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found these options: {constant_types}; none matched)')
return [f'{expected_type} -> {expression}'], expected_type
else:
raise ParsingError('Not sure how you got here. Please open an issue on github with details.')
|
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] |
This is used when converting a logical form into an action sequence. This piece
recursively translates a lisp expression into an action sequence, making sure we match the
expected type (or using the expected type to get the right type for constant expressions).
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L609-L645
|
train
|
This is used when converting a logical form into an action sequence. This is used when converting a logical form into an action sequence. This is used when converting a logical form into an action sequence.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + chr(2086 - 2037) + chr(0b100101 + 0o15) + chr(0b110 + 0o55), 48509 - 48501), ehT0Px3KOsy9(chr(0b110000) + chr(9246 - 9135) + chr(53) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x33' + chr(0b110101) + chr(0b1110 + 0o46), 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + '\x6f' + chr(1624 - 1574) + chr(0b110101) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1 + 0o60) + chr(0b100101 + 0o13) + chr(0b100011 + 0o15), 49262 - 49254), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x35' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(1519 - 1471) + chr(0b1001 + 0o146) + chr(49) + chr(49) + chr(0b110010), 33482 - 33474), ehT0Px3KOsy9(chr(0b100111 + 0o11) + chr(0b1101111) + chr(0b11101 + 0o25) + chr(0b110001) + chr(0b10001 + 0o44), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(55), 8), ehT0Px3KOsy9(chr(1679 - 1631) + chr(111) + '\x33' + chr(0b10010 + 0o40) + chr(0b1100 + 0o44), 7928 - 7920), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11001 + 0o31) + chr(48) + chr(0b101011 + 0o7), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(65 - 16) + '\065' + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111001 + 0o66) + '\x32' + chr(555 - 506) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1204 - 1156) + chr(111) + chr(0b110010) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b110111 + 0o70) + chr(1151 - 1101) + chr(0b110011 + 0o0) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + '\x30' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\157' + '\x35' + '\061', 10567 - 10559), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o15) + chr(0b110001) + chr(52), 8), ehT0Px3KOsy9('\060' + chr(0b1100101 + 0o12) + chr(0b110 + 0o61) + chr(0b101101 + 0o6), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(0b110010) + chr(0b110000) + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\x33' + chr(0b101111 + 0o2) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o41) + '\065' + '\x34', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(866 - 815) + '\061' + chr(48), 43995 - 43987), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b100101 + 0o20) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(928 - 878) + chr(0b111 + 0o56) + chr(0b11110 + 0o30), 8), ehT0Px3KOsy9('\060' + chr(10410 - 10299) + chr(859 - 808) + chr(50) + chr(1410 - 1360), 30380 - 30372), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b110001) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(438 - 390) + '\x6f' + chr(0b11011 + 0o30) + '\066' + chr(762 - 708), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9671 - 9560) + chr(54) + chr(0b110111), 32666 - 32658), ehT0Px3KOsy9(chr(1358 - 1310) + chr(839 - 728) + chr(0b110111) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + '\x37' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(461 - 412) + chr(0b11 + 0o55), 8), ehT0Px3KOsy9('\060' + chr(0b100111 + 0o110) + '\063' + chr(0b10100 + 0o34) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4685 - 4574) + chr(0b110011) + '\x35' + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(1999 - 1944) + chr(728 - 677), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b1111 + 0o43) + chr(50) + chr(1099 - 1051), 44712 - 44704), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b10010 + 0o37) + chr(1529 - 1480), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o12) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b111111 + 0o45) + '\x65' + chr(0b11000 + 0o113) + chr(0b1101111) + chr(0b1100100) + '\x65')('\x75' + chr(116) + chr(8886 - 8784) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _DxuEn51hbif(oVre8I6UXc3b, heJELtuJu3My, UX_PCD33fO95) -> MRK8Uzg2En3D[qRxF7OQ0y39T[M8_cKLkHVB2V], YPmBFLkEKJVV]:
if PlSM16l2KDPD(heJELtuJu3My, (YyaZ4tpXu4lf, KNyTy8rYcwji)):
(tUUH1KpQSiKU, ELL59KGwZKj3, DjtzGpnspIKq) = oVre8I6UXc3b._get_function_transitions(heJELtuJu3My[ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + chr(0b110000 + 0o0), ord("\x08"))], UX_PCD33fO95)
if c2A0yzQpDQB3(DjtzGpnspIKq) != c2A0yzQpDQB3(heJELtuJu3My[ehT0Px3KOsy9(chr(0b10 + 0o56) + '\x6f' + chr(1315 - 1266), 8):]):
raise MO1jGuXEVWyF(f'Wrong number of arguments for function in {heJELtuJu3My}')
m8_2MxGPdOC5 = []
for (x0D0KPKeQ2G1, URlyKcV3D6yi) in pZ0NK2y6HRbn(DjtzGpnspIKq, heJELtuJu3My[ehT0Px3KOsy9(chr(48) + chr(0b1111 + 0o140) + chr(0b11110 + 0o23), 8):]):
xafqLlk3kkUe(m8_2MxGPdOC5, xafqLlk3kkUe(SXOLrMavuUCe(b'6W\x98\xcb.N'), '\x64' + '\x65' + chr(0b1100011) + '\157' + chr(0b1000101 + 0o37) + '\x65')('\165' + '\x74' + chr(102) + chr(0b101101) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x0cH\x89\xda\x1f^8\xecq\\\xb9\xf6\x03\xe3~\xef'), chr(0b1100100) + '\145' + chr(0b1100011) + chr(0b110110 + 0o71) + chr(3888 - 3788) + '\145')('\x75' + chr(116) + chr(0b1100001 + 0o5) + '\055' + '\x38'))(URlyKcV3D6yi, x0D0KPKeQ2G1)[ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + chr(48), 8)])
return (tUUH1KpQSiKU + m8_2MxGPdOC5, ELL59KGwZKj3)
elif PlSM16l2KDPD(heJELtuJu3My, M8_cKLkHVB2V):
if heJELtuJu3My not in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x14H\x9d\x9b\x11h;\xbfgy\x80\xba'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(101))('\165' + chr(0b1110100) + chr(0b1100110) + chr(64 - 19) + chr(2941 - 2885))):
raise MO1jGuXEVWyF(f'Unrecognized constant: {heJELtuJu3My}')
retpvcyCnbjQ = oVre8I6UXc3b._function_types[heJELtuJu3My]
if c2A0yzQpDQB3(retpvcyCnbjQ) == ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8):
Sv_PjCA164hG = retpvcyCnbjQ[ehT0Px3KOsy9(chr(2135 - 2087) + chr(4376 - 4265) + '\060', 8)]
if UX_PCD33fO95 and UX_PCD33fO95 != Sv_PjCA164hG:
raise MO1jGuXEVWyF(f'{heJELtuJu3My} did not have expected type {UX_PCD33fO95} (found {Sv_PjCA164hG})')
return ([f'{Sv_PjCA164hG} -> {heJELtuJu3My}'], Sv_PjCA164hG)
else:
if not UX_PCD33fO95:
raise MO1jGuXEVWyF(f"With no expected type and multiple types to pick from I don't know what type to use (constant was {heJELtuJu3My})")
if UX_PCD33fO95 not in retpvcyCnbjQ:
raise MO1jGuXEVWyF(f'{heJELtuJu3My} did not have expected type {UX_PCD33fO95} (found these options: {retpvcyCnbjQ}; none matched)')
return ([f'{UX_PCD33fO95} -> {heJELtuJu3My}'], UX_PCD33fO95)
else:
raise MO1jGuXEVWyF(xafqLlk3kkUe(SXOLrMavuUCe(b'\x1d@\x98\x8e3_8\xe8?G\xbf\xf5J\xf5\x7f\xe9\xe4N\xe3O\xa2\xa6\t\xbal\xc7\x8e\x82\xe3\x93VI\xdf\xe8\xa8\x99^\xfe!(=\x0f\x85\xdd3_/\xadpA\xf0\xe5\x03\xf8x\xe9\xa6\t\xfbR\xf6\xa6L\xacl\x9d\xcf\xbb\xe3\x85\x19'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(3900 - 3800) + chr(101))(chr(117) + '\164' + chr(0b1001 + 0o135) + chr(0b101101) + chr(0b100101 + 0o23)))
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage._get_function_transitions
|
def _get_function_transitions(self,
expression: Union[str, List],
expected_type: PredicateType) -> Tuple[List[str],
PredicateType,
List[PredicateType]]:
"""
A helper method for ``_get_transitions``. This gets the transitions for the predicate
itself in a function call. If we only had simple functions (e.g., "(add 2 3)"), this would
be pretty straightforward and we wouldn't need a separate method to handle it. We split it
out into its own method because handling higher-order functions is complicated (e.g.,
something like "((negate add) 2 3)").
"""
# This first block handles getting the transitions and function type (and some error
# checking) _just for the function itself_. If this is a simple function, this is easy; if
# it's a higher-order function, it involves some recursion.
if isinstance(expression, list):
# This is a higher-order function. TODO(mattg): we'll just ignore type checking on
# higher-order functions, for now.
transitions, function_type = self._get_transitions(expression, None)
elif expression in self._functions:
name = expression
function_types = self._function_types[expression]
if len(function_types) != 1:
raise ParsingError(f"{expression} had multiple types; this is not yet supported for functions")
function_type = function_types[0]
transitions = [f'{function_type} -> {name}']
else:
if isinstance(expression, str):
raise ParsingError(f"Unrecognized function: {expression[0]}")
else:
raise ParsingError(f"Unsupported expression type: {expression}")
if not isinstance(function_type, FunctionType):
raise ParsingError(f'Zero-arg function or constant called with arguments: {name}')
# Now that we have the transitions for the function itself, and the function's type, we can
# get argument types and do the rest of the transitions.
argument_types = function_type.argument_types
return_type = function_type.return_type
right_side = f'[{function_type}, {", ".join(str(arg) for arg in argument_types)}]'
first_transition = f'{return_type} -> {right_side}'
transitions.insert(0, first_transition)
if expected_type and expected_type != return_type:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found {return_type})')
return transitions, return_type, argument_types
|
python
|
def _get_function_transitions(self,
expression: Union[str, List],
expected_type: PredicateType) -> Tuple[List[str],
PredicateType,
List[PredicateType]]:
"""
A helper method for ``_get_transitions``. This gets the transitions for the predicate
itself in a function call. If we only had simple functions (e.g., "(add 2 3)"), this would
be pretty straightforward and we wouldn't need a separate method to handle it. We split it
out into its own method because handling higher-order functions is complicated (e.g.,
something like "((negate add) 2 3)").
"""
# This first block handles getting the transitions and function type (and some error
# checking) _just for the function itself_. If this is a simple function, this is easy; if
# it's a higher-order function, it involves some recursion.
if isinstance(expression, list):
# This is a higher-order function. TODO(mattg): we'll just ignore type checking on
# higher-order functions, for now.
transitions, function_type = self._get_transitions(expression, None)
elif expression in self._functions:
name = expression
function_types = self._function_types[expression]
if len(function_types) != 1:
raise ParsingError(f"{expression} had multiple types; this is not yet supported for functions")
function_type = function_types[0]
transitions = [f'{function_type} -> {name}']
else:
if isinstance(expression, str):
raise ParsingError(f"Unrecognized function: {expression[0]}")
else:
raise ParsingError(f"Unsupported expression type: {expression}")
if not isinstance(function_type, FunctionType):
raise ParsingError(f'Zero-arg function or constant called with arguments: {name}')
# Now that we have the transitions for the function itself, and the function's type, we can
# get argument types and do the rest of the transitions.
argument_types = function_type.argument_types
return_type = function_type.return_type
right_side = f'[{function_type}, {", ".join(str(arg) for arg in argument_types)}]'
first_transition = f'{return_type} -> {right_side}'
transitions.insert(0, first_transition)
if expected_type and expected_type != return_type:
raise ParsingError(f'{expression} did not have expected type {expected_type} '
f'(found {return_type})')
return transitions, return_type, argument_types
|
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"return",
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",",
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",",
"argument_types"
] |
A helper method for ``_get_transitions``. This gets the transitions for the predicate
itself in a function call. If we only had simple functions (e.g., "(add 2 3)"), this would
be pretty straightforward and we wouldn't need a separate method to handle it. We split it
out into its own method because handling higher-order functions is complicated (e.g.,
something like "((negate add) 2 3)").
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L647-L691
|
train
|
A helper method for _get_transitions.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1491 - 1443) + chr(0b1101111) + chr(2151 - 2100) + '\067' + chr(875 - 821), 0o10), ehT0Px3KOsy9(chr(1734 - 1686) + '\157' + chr(0b100100 + 0o21) + chr(0b11010 + 0o26), 0o10), ehT0Px3KOsy9(chr(771 - 723) + '\x6f' + chr(0b100101 + 0o16) + chr(51) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\157' + '\063' + chr(0b110100 + 0o1) + chr(0b110100), 2565 - 2557), ehT0Px3KOsy9(chr(1184 - 1136) + '\x6f' + chr(0b10101 + 0o35) + chr(2086 - 2031) + chr(52), 0o10), ehT0Px3KOsy9(chr(0b100011 + 0o15) + chr(4070 - 3959) + '\x34' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b110110) + '\x32', 61175 - 61167), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + '\x34' + chr(48), 0o10), ehT0Px3KOsy9('\060' + chr(0b101110 + 0o101) + chr(0b11001 + 0o30) + chr(0b110101) + '\066', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1754 - 1704) + chr(2058 - 2006) + '\060', 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1668 - 1617) + chr(629 - 575) + chr(411 - 359), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(3811 - 3700) + chr(54) + chr(0b110100), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(1378 - 1329) + '\061' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(3604 - 3493) + chr(1773 - 1723) + chr(55) + chr(518 - 470), 0o10), ehT0Px3KOsy9(chr(306 - 258) + chr(111) + chr(0b0 + 0o62) + chr(0b110011 + 0o3) + chr(50), 8), ehT0Px3KOsy9('\x30' + chr(0b1100001 + 0o16) + chr(294 - 244) + '\x35' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\063' + chr(0b110110) + chr(0b110001), 54935 - 54927), ehT0Px3KOsy9(chr(48) + '\157' + chr(1892 - 1842) + '\x34' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(111) + chr(0b100011 + 0o17) + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(8606 - 8495) + chr(0b1 + 0o62) + '\060' + '\062', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b100001 + 0o21) + chr(0b10110 + 0o35) + chr(0b110010 + 0o5), 0b1000), ehT0Px3KOsy9(chr(323 - 275) + chr(4083 - 3972) + chr(0b100100 + 0o16) + '\x37' + chr(1526 - 1471), 5057 - 5049), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b101 + 0o56) + chr(806 - 757), 42081 - 42073), ehT0Px3KOsy9(chr(750 - 702) + chr(111) + chr(952 - 901) + '\x33' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(111) + chr(51) + '\x33' + '\067', 8), ehT0Px3KOsy9('\x30' + chr(0b1001101 + 0o42) + chr(1627 - 1577) + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + chr(50), 64685 - 64677), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + chr(0b110011) + '\x33' + chr(0b10010 + 0o45), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(48) + chr(48), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110011) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(0b100100 + 0o22) + '\x33', 24177 - 24169), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(1515 - 1465) + chr(2598 - 2544) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(8688 - 8577) + chr(0b101 + 0o55) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101011 + 0o4) + '\x33' + chr(0b11110 + 0o25) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101010 + 0o5) + chr(982 - 933) + chr(54) + chr(171 - 116), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(51) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1000001 + 0o56) + chr(0b110010) + '\067' + chr(1864 - 1813), 0o10), ehT0Px3KOsy9(chr(870 - 822) + chr(0b1010100 + 0o33) + chr(0b110001) + chr(57 - 7) + '\x33', 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(3026 - 2915) + '\x33' + chr(1273 - 1225) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1897 - 1849) + chr(111) + chr(0b110010) + chr(734 - 686) + chr(1496 - 1445), 32290 - 32282)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(111) + chr(0b1111 + 0o46) + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0'), chr(0b1100001 + 0o3) + chr(101) + chr(0b1100001 + 0o2) + chr(0b10000 + 0o137) + '\x64' + chr(0b1100101))('\x75' + chr(0b111110 + 0o66) + chr(0b110011 + 0o63) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CrhiCZwvjR7y(oVre8I6UXc3b, heJELtuJu3My, UX_PCD33fO95) -> MRK8Uzg2En3D[qRxF7OQ0y39T[M8_cKLkHVB2V], YPmBFLkEKJVV, qRxF7OQ0y39T[YPmBFLkEKJVV]]:
if PlSM16l2KDPD(heJELtuJu3My, YyaZ4tpXu4lf):
(WI0Qv2bziBjm, cid_uaYJYOSx) = oVre8I6UXc3b._get_transitions(heJELtuJu3My, None)
elif heJELtuJu3My in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9O\xae\xd9\xede\xc3\x92\x16\xf6\xa4\x0c'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(0b101010 + 0o113) + chr(11009 - 10893) + chr(102) + chr(130 - 85) + '\x38')):
AIvJRzLdDfgF = heJELtuJu3My
aLwkU_iL6qgZ = oVre8I6UXc3b._function_types[heJELtuJu3My]
if c2A0yzQpDQB3(aLwkU_iL6qgZ) != ehT0Px3KOsy9(chr(1890 - 1842) + '\157' + chr(0b110001), 0b1000):
raise MO1jGuXEVWyF(f'{heJELtuJu3My} had multiple types; this is not yet supported for functions')
cid_uaYJYOSx = aLwkU_iL6qgZ[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x30', 0b1000)]
WI0Qv2bziBjm = [f'{cid_uaYJYOSx} -> {AIvJRzLdDfgF}']
elif PlSM16l2KDPD(heJELtuJu3My, M8_cKLkHVB2V):
raise MO1jGuXEVWyF(f'Unrecognized function: {heJELtuJu3My[0]}')
else:
raise MO1jGuXEVWyF(f'Unsupported expression type: {heJELtuJu3My}')
if not PlSM16l2KDPD(cid_uaYJYOSx, ric04wOk_EeU):
raise MO1jGuXEVWyF(f'Zero-arg function or constant called with arguments: {AIvJRzLdDfgF}')
DjtzGpnspIKq = cid_uaYJYOSx.argument_types
ELL59KGwZKj3 = cid_uaYJYOSx.return_type
ZhTWDDhoiRNo = f"[{cid_uaYJYOSx}, {chr(0b11 + 0o51) + chr(0b100000)._oWXztVNnqHF((M8_cKLkHVB2V(LTE9MPUbqSos) for LTE9MPUbqSos in DjtzGpnspIKq))}]"
kcgHboYY_6gB = f'{ELL59KGwZKj3} -> {ZhTWDDhoiRNo}'
xafqLlk3kkUe(WI0Qv2bziBjm, xafqLlk3kkUe(SXOLrMavuUCe(b'\x97F\xac\x89\xceS'), chr(1375 - 1275) + chr(101) + chr(99) + chr(9770 - 9659) + '\144' + chr(0b1100101))('\165' + chr(4506 - 4390) + chr(3907 - 3805) + chr(0b100111 + 0o6) + '\070'))(ehT0Px3KOsy9(chr(48) + chr(0b11010 + 0o125) + '\060', 8), kcgHboYY_6gB)
if UX_PCD33fO95 and UX_PCD33fO95 != ELL59KGwZKj3:
raise MO1jGuXEVWyF(f'{heJELtuJu3My} did not have expected type {UX_PCD33fO95} (found {ELL59KGwZKj3})')
return (WI0Qv2bziBjm, ELL59KGwZKj3, DjtzGpnspIKq)
|
allenai/allennlp
|
allennlp/semparse/domain_languages/domain_language.py
|
DomainLanguage._construct_node_from_actions
|
def _construct_node_from_actions(self,
current_node: Tree,
remaining_actions: List[List[str]]) -> List[List[str]]:
"""
Given a current node in the logical form tree, and a list of actions in an action sequence,
this method fills in the children of the current node from the action sequence, then
returns whatever actions are left.
For example, we could get a node with type ``c``, and an action sequence that begins with
``c -> [<r,c>, r]``. This method will add two children to the input node, consuming
actions from the action sequence for nodes of type ``<r,c>`` (and all of its children,
recursively) and ``r`` (and all of its children, recursively). This method assumes that
action sequences are produced `depth-first`, so all actions for the subtree under ``<r,c>``
appear before actions for the subtree under ``r``. If there are any actions in the action
sequence after the ``<r,c>`` and ``r`` subtrees have terminated in leaf nodes, they will be
returned.
"""
if not remaining_actions:
logger.error("No actions left to construct current node: %s", current_node)
raise ParsingError("Incomplete action sequence")
left_side, right_side = remaining_actions.pop(0)
if left_side != current_node.label():
logger.error("Current node: %s", current_node)
logger.error("Next action: %s -> %s", left_side, right_side)
logger.error("Remaining actions were: %s", remaining_actions)
raise ParsingError("Current node does not match next action")
if right_side[0] == '[':
# This is a non-terminal expansion, with more than one child node.
for child_type in right_side[1:-1].split(', '):
child_node = Tree(child_type, [])
current_node.append(child_node) # you add a child to an nltk.Tree with `append`
# For now, we assume that all children in a list like this are non-terminals, so we
# recurse on them. I'm pretty sure that will always be true for the way our
# grammar induction works. We can revisit this later if we need to.
remaining_actions = self._construct_node_from_actions(child_node, remaining_actions)
else:
# The current node is a pre-terminal; we'll add a single terminal child. By
# construction, the right-hand side of our production rules are only ever terminal
# productions or lists of non-terminals.
current_node.append(Tree(right_side, [])) # you add a child to an nltk.Tree with `append`
return remaining_actions
|
python
|
def _construct_node_from_actions(self,
current_node: Tree,
remaining_actions: List[List[str]]) -> List[List[str]]:
"""
Given a current node in the logical form tree, and a list of actions in an action sequence,
this method fills in the children of the current node from the action sequence, then
returns whatever actions are left.
For example, we could get a node with type ``c``, and an action sequence that begins with
``c -> [<r,c>, r]``. This method will add two children to the input node, consuming
actions from the action sequence for nodes of type ``<r,c>`` (and all of its children,
recursively) and ``r`` (and all of its children, recursively). This method assumes that
action sequences are produced `depth-first`, so all actions for the subtree under ``<r,c>``
appear before actions for the subtree under ``r``. If there are any actions in the action
sequence after the ``<r,c>`` and ``r`` subtrees have terminated in leaf nodes, they will be
returned.
"""
if not remaining_actions:
logger.error("No actions left to construct current node: %s", current_node)
raise ParsingError("Incomplete action sequence")
left_side, right_side = remaining_actions.pop(0)
if left_side != current_node.label():
logger.error("Current node: %s", current_node)
logger.error("Next action: %s -> %s", left_side, right_side)
logger.error("Remaining actions were: %s", remaining_actions)
raise ParsingError("Current node does not match next action")
if right_side[0] == '[':
# This is a non-terminal expansion, with more than one child node.
for child_type in right_side[1:-1].split(', '):
child_node = Tree(child_type, [])
current_node.append(child_node) # you add a child to an nltk.Tree with `append`
# For now, we assume that all children in a list like this are non-terminals, so we
# recurse on them. I'm pretty sure that will always be true for the way our
# grammar induction works. We can revisit this later if we need to.
remaining_actions = self._construct_node_from_actions(child_node, remaining_actions)
else:
# The current node is a pre-terminal; we'll add a single terminal child. By
# construction, the right-hand side of our production rules are only ever terminal
# productions or lists of non-terminals.
current_node.append(Tree(right_side, [])) # you add a child to an nltk.Tree with `append`
return remaining_actions
|
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")",
"# you add a child to an nltk.Tree with `append`",
"return",
"remaining_actions"
] |
Given a current node in the logical form tree, and a list of actions in an action sequence,
this method fills in the children of the current node from the action sequence, then
returns whatever actions are left.
For example, we could get a node with type ``c``, and an action sequence that begins with
``c -> [<r,c>, r]``. This method will add two children to the input node, consuming
actions from the action sequence for nodes of type ``<r,c>`` (and all of its children,
recursively) and ``r`` (and all of its children, recursively). This method assumes that
action sequences are produced `depth-first`, so all actions for the subtree under ``<r,c>``
appear before actions for the subtree under ``r``. If there are any actions in the action
sequence after the ``<r,c>`` and ``r`` subtrees have terminated in leaf nodes, they will be
returned.
|
[
"Given",
"a",
"current",
"node",
"in",
"the",
"logical",
"form",
"tree",
"and",
"a",
"list",
"of",
"actions",
"in",
"an",
"action",
"sequence",
"this",
"method",
"fills",
"in",
"the",
"children",
"of",
"the",
"current",
"node",
"from",
"the",
"action",
"sequence",
"then",
"returns",
"whatever",
"actions",
"are",
"left",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/semparse/domain_languages/domain_language.py#L693-L733
|
train
|
This method constructs a node from a list of actions in an action sequence and returns the list of actions that are left in the action sequence.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b111011 + 0o64) + chr(0b110010) + '\060' + chr(49), 0o10), ehT0Px3KOsy9(chr(654 - 606) + chr(111) + chr(0b100110 + 0o13) + chr(50) + chr(0b100011 + 0o24), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(50) + chr(0b110111) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1586 - 1538) + chr(111) + chr(2171 - 2116), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(438 - 384), 670 - 662), ehT0Px3KOsy9('\x30' + '\157' + chr(1340 - 1289) + chr(2320 - 2270) + chr(2450 - 2397), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b1110 + 0o45) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101111 + 0o3) + chr(0b100101 + 0o15) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(945 - 896) + '\x31', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x32' + chr(0b101101 + 0o7) + chr(0b101001 + 0o12), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1979 - 1930) + chr(0b100001 + 0o26) + chr(0b1 + 0o64), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(55) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(932 - 884) + '\157' + '\061' + '\066' + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(1778 - 1730) + chr(0b1000010 + 0o55) + chr(0b110111 + 0o0), 8), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + '\x31' + chr(53), 53844 - 53836), ehT0Px3KOsy9('\x30' + chr(1388 - 1277) + chr(412 - 361) + chr(0b110000) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(52) + chr(53), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1000 + 0o57) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9(chr(279 - 231) + chr(0b1101111) + chr(1860 - 1810) + chr(0b110100) + chr(2750 - 2697), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(55) + '\x36', 62613 - 62605), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1001110 + 0o41) + chr(0b110001 + 0o1) + chr(1073 - 1023) + chr(0b10110 + 0o36), 60950 - 60942), ehT0Px3KOsy9(chr(1362 - 1314) + chr(0b1101110 + 0o1) + '\x31' + '\063' + chr(0b10 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(549 - 501) + '\x6f' + chr(0b1101 + 0o51), 8), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(0b110010) + '\064' + chr(324 - 273), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + '\063' + '\x33', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101110 + 0o101) + chr(49) + '\060' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3774 - 3663) + chr(0b11001 + 0o34) + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b11110 + 0o26) + chr(0b100000 + 0o26), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o23) + '\x35' + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\063' + chr(2690 - 2636) + chr(1352 - 1302), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1692 - 1644) + chr(0b101010 + 0o14), 22015 - 22007), ehT0Px3KOsy9(chr(1930 - 1882) + '\157' + chr(0b101110 + 0o5) + chr(55) + chr(515 - 466), 47725 - 47717), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2198 - 2149) + chr(0b10111 + 0o33) + chr(2251 - 2201), 8104 - 8096), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11111 + 0o23) + '\x34' + chr(742 - 688), 0o10), ehT0Px3KOsy9(chr(1821 - 1773) + chr(0b1101111) + chr(50) + '\066' + chr(196 - 144), 0o10), ehT0Px3KOsy9(chr(48) + chr(7077 - 6966) + '\x32' + chr(53) + '\x33', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(0b110110) + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(323 - 272) + chr(556 - 501) + chr(2177 - 2125), 41042 - 41034), ehT0Px3KOsy9(chr(1922 - 1874) + chr(0b1101111) + '\061' + chr(1239 - 1185) + chr(0b1000 + 0o52), 29018 - 29010)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(0b11100 + 0o24), 42680 - 42672)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), '\144' + '\145' + '\143' + '\x6f' + chr(100) + '\x65')('\165' + chr(0b1010010 + 0o42) + chr(5314 - 5212) + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def iFysPtR_VYa4(oVre8I6UXc3b, ivhwUfDWYTWy, klkIVilDKnwv) -> qRxF7OQ0y39T[qRxF7OQ0y39T[M8_cKLkHVB2V]]:
if not klkIVilDKnwv:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x02\xdfWsr\x9aN\xa3~\xdbM'), chr(656 - 556) + chr(0b1000110 + 0o37) + chr(99) + '\x6f' + '\144' + chr(3652 - 3551))(chr(8232 - 8115) + '\164' + '\146' + chr(0b101101) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf8\x9bfqr\xbcr\xfcz\x83\x11\x1c\x11s\xed\xb5\xca\x18\xc6\xd1\xfa*r\xd1.%ZF\x8c\x87\xb4\x8b7\xc8\xc0\x8b\x1a\x93\x16\xe4m\x9b"a'), '\144' + '\x65' + chr(0b1100011) + chr(0b11000 + 0o127) + '\144' + chr(0b1100101))(chr(0b111100 + 0o71) + '\164' + chr(102) + chr(466 - 421) + chr(0b101111 + 0o11)), ivhwUfDWYTWy)
raise MO1jGuXEVWyF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc89\xd8h\x7fv\xb9x\xe6l\x83\x1c\x1a\x03n\xa2\xaf\x85K\xc0\xcf\xe1<h\xc0>'), chr(100) + chr(101) + '\143' + chr(3773 - 3662) + chr(0b1100100) + chr(0b11 + 0o142))(chr(117) + chr(116) + chr(0b10001 + 0o125) + chr(1254 - 1209) + chr(0b10110 + 0o42)))
(ULG77TjK80oU, ZhTWDDhoiRNo) = klkIVilDKnwv.pop(ehT0Px3KOsy9(chr(435 - 387) + '\157' + '\060', ord("\x08")))
if ULG77TjK80oU != xafqLlk3kkUe(ivhwUfDWYTWy, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x05\xeeH^@\x99h\xd69\x9b\x05'), chr(6035 - 5935) + '\145' + '\143' + '\x6f' + '\x64' + '\145')('\165' + chr(10700 - 10584) + chr(0b110101 + 0o61) + chr(1229 - 1184) + chr(0b111000)))():
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x02\xdfWsr\x9aN\xa3~\xdbM'), chr(100) + chr(101) + '\143' + chr(0b100011 + 0o114) + chr(0b101011 + 0o71) + '\145')(chr(9227 - 9110) + chr(116) + chr(102) + '\055' + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2"\xc9uwh\xa1=\xfcf\xc7\x18CW"\xbe'), '\x64' + chr(0b101011 + 0o72) + chr(0b1000000 + 0o43) + chr(111) + '\144' + '\x65')('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(56)), ivhwUfDWYTWy)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x02\xdfWsr\x9aN\xa3~\xdbM'), chr(100) + '\145' + chr(0b1100011) + chr(0b1101111 + 0o0) + '\x64' + '\145')(chr(0b1010100 + 0o41) + chr(116) + chr(0b1100000 + 0o6) + chr(45) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xcf2\xc3s2g\xb6i\xfbf\xcdGYRt\xed\xec\x9b\x18\x80\xcd'), chr(0b101111 + 0o65) + chr(0b1 + 0o144) + chr(0b1100011) + chr(111) + chr(6297 - 6197) + chr(101))('\x75' + chr(4577 - 4461) + chr(3199 - 3097) + '\055' + chr(0b11100 + 0o34)), ULG77TjK80oU, ZhTWDDhoiRNo)
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc4\x02\xdfWsr\x9aN\xa3~\xdbM'), chr(0b1100100) + chr(101) + '\143' + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1011001 + 0o15) + '\055' + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd32\xd6f{h\xbcs\xf5)\xc2\x1e\r\x1eh\xa3\xb2\x85O\xc0\xcc\xf1c&\x86('), '\144' + chr(0b1100101) + chr(99) + chr(0b1101111) + '\x64' + chr(101))(chr(8917 - 8800) + chr(116) + chr(0b101010 + 0o74) + chr(45) + chr(0b111000)), klkIVilDKnwv)
raise MO1jGuXEVWyF(xafqLlk3kkUe(SXOLrMavuUCe(b'\xc2"\xc9uwh\xa1=\xfcf\xc7\x18Y\x13h\xa8\xb2\x85V\xca\xca\xb44g\xd78.\x0e\x08\x8a\x8a\xb2\xd93\xc5\xc0\xc2\x1b\x92'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(0b1100100) + chr(4778 - 4677))(chr(117) + chr(0b1100001 + 0o23) + chr(726 - 624) + chr(245 - 200) + '\070'))
if ZhTWDDhoiRNo[ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\060', 8)] == xafqLlk3kkUe(SXOLrMavuUCe(b'\xda'), chr(100) + '\x65' + '\143' + '\157' + '\144' + '\x65')('\x75' + chr(0b1110100) + chr(0b1100110) + '\x2d' + chr(3096 - 3040)):
for iWzolnnIYOhc in xafqLlk3kkUe(ZhTWDDhoiRNo[ehT0Px3KOsy9('\060' + chr(11479 - 11368) + chr(0b110001), 0o10):-ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o21), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b"\xf2'\xd7nf"), '\144' + chr(101) + chr(2168 - 2069) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + chr(6136 - 6020) + '\x66' + '\055' + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xadw'), chr(1175 - 1075) + '\x65' + chr(9005 - 8906) + chr(0b10010 + 0o135) + chr(100) + '\x65')(chr(117) + '\164' + chr(102) + chr(45) + chr(56))):
KmnFuUFz61HL = EkzIH99VGiMZ(iWzolnnIYOhc, [])
xafqLlk3kkUe(ivhwUfDWYTWy, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe0'\xcbb|b"), chr(8097 - 7997) + chr(0b101101 + 0o70) + chr(0b100110 + 0o75) + '\157' + chr(8402 - 8302) + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b11011 + 0o113) + chr(45) + chr(56)))(KmnFuUFz61HL)
klkIVilDKnwv = oVre8I6UXc3b._construct_node_from_actions(KmnFuUFz61HL, klkIVilDKnwv)
else:
xafqLlk3kkUe(ivhwUfDWYTWy, xafqLlk3kkUe(SXOLrMavuUCe(b"\xe0'\xcbb|b"), chr(6220 - 6120) + '\x65' + '\143' + '\157' + chr(100) + chr(0b111111 + 0o46))(chr(0b10000 + 0o145) + '\164' + chr(102) + chr(0b101101) + chr(1507 - 1451)))(EkzIH99VGiMZ(ZhTWDDhoiRNo, []))
return klkIVilDKnwv
|
allenai/allennlp
|
allennlp/modules/sampled_softmax_loss.py
|
_choice
|
def _choice(num_words: int, num_samples: int) -> Tuple[np.ndarray, int]:
"""
Chooses ``num_samples`` samples without replacement from [0, ..., num_words).
Returns a tuple (samples, num_tries).
"""
num_tries = 0
num_chosen = 0
def get_buffer() -> np.ndarray:
log_samples = np.random.rand(num_samples) * np.log(num_words + 1)
samples = np.exp(log_samples).astype('int64') - 1
return np.clip(samples, a_min=0, a_max=num_words - 1)
sample_buffer = get_buffer()
buffer_index = 0
samples: Set[int] = set()
while num_chosen < num_samples:
num_tries += 1
# choose sample
sample_id = sample_buffer[buffer_index]
if sample_id not in samples:
samples.add(sample_id)
num_chosen += 1
buffer_index += 1
if buffer_index == num_samples:
# Reset the buffer
sample_buffer = get_buffer()
buffer_index = 0
return np.array(list(samples)), num_tries
|
python
|
def _choice(num_words: int, num_samples: int) -> Tuple[np.ndarray, int]:
"""
Chooses ``num_samples`` samples without replacement from [0, ..., num_words).
Returns a tuple (samples, num_tries).
"""
num_tries = 0
num_chosen = 0
def get_buffer() -> np.ndarray:
log_samples = np.random.rand(num_samples) * np.log(num_words + 1)
samples = np.exp(log_samples).astype('int64') - 1
return np.clip(samples, a_min=0, a_max=num_words - 1)
sample_buffer = get_buffer()
buffer_index = 0
samples: Set[int] = set()
while num_chosen < num_samples:
num_tries += 1
# choose sample
sample_id = sample_buffer[buffer_index]
if sample_id not in samples:
samples.add(sample_id)
num_chosen += 1
buffer_index += 1
if buffer_index == num_samples:
# Reset the buffer
sample_buffer = get_buffer()
buffer_index = 0
return np.array(list(samples)), num_tries
|
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] |
Chooses ``num_samples`` samples without replacement from [0, ..., num_words).
Returns a tuple (samples, num_tries).
|
[
"Chooses",
"num_samples",
"samples",
"without",
"replacement",
"from",
"[",
"0",
"...",
"num_words",
")",
".",
"Returns",
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"(",
"samples",
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")",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/sampled_softmax_loss.py#L11-L42
|
train
|
Return a random set of num_samples samples with replacement from [ 0... num_words ).
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(885 - 837) + chr(111) + '\x31' + chr(0b0 + 0o64), 42765 - 42757), ehT0Px3KOsy9(chr(1578 - 1530) + '\157' + chr(0b11001 + 0o31) + chr(50) + chr(51), 0b1000), ehT0Px3KOsy9(chr(1649 - 1601) + chr(111) + '\064' + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1011101 + 0o22) + chr(49) + '\061' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(1492 - 1444) + chr(0b111010 + 0o65) + chr(1195 - 1144) + chr(0b110010) + '\x30', 0b1000), ehT0Px3KOsy9(chr(747 - 699) + chr(0b1101111) + chr(1352 - 1301) + '\062' + chr(1781 - 1726), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x35' + chr(0b110101), 64872 - 64864), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110111) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(4079 - 3968) + chr(50) + chr(0b1111 + 0o50) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\065' + chr(53), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3452 - 3341) + chr(0b10010 + 0o37) + chr(1683 - 1632) + chr(404 - 354), 61188 - 61180), ehT0Px3KOsy9(chr(1771 - 1723) + '\x6f' + chr(0b110001) + '\x32' + chr(1267 - 1216), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + '\x32' + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011010 + 0o25) + chr(0b110001) + chr(55) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + '\062' + chr(0b100110 + 0o14) + chr(2582 - 2530), ord("\x08")), ehT0Px3KOsy9(chr(1321 - 1273) + '\x6f' + chr(1651 - 1600) + chr(511 - 456) + chr(955 - 903), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(2275 - 2227) + chr(0b111 + 0o52), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1100100 + 0o13) + chr(0b10111 + 0o32) + chr(0b110000) + chr(0b110101), 33936 - 33928), ehT0Px3KOsy9(chr(0b110000) + chr(8885 - 8774) + chr(848 - 799) + chr(0b110110) + chr(2223 - 2169), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11001 + 0o126) + '\067' + chr(0b10000 + 0o41), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31' + '\061' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b101110 + 0o5) + chr(0b110001) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(512 - 401) + chr(49) + '\062', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(839 - 789) + '\061' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(1863 - 1815) + chr(0b1101111) + chr(1681 - 1631) + '\x34' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b110110 + 0o71) + chr(0b110001) + '\x31' + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\064' + chr(0b101 + 0o57), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1100001 + 0o16) + chr(0b110001) + '\x35' + chr(104 - 50), ord("\x08")), ehT0Px3KOsy9(chr(345 - 297) + '\157' + chr(0b100000 + 0o21) + '\063' + chr(53), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11101 + 0o26) + '\064' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + '\x33' + '\064' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\063' + '\063' + chr(0b11100 + 0o24), 30949 - 30941), ehT0Px3KOsy9(chr(1037 - 989) + '\x6f' + '\x36' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(867 - 816) + chr(0b101100 + 0o4) + chr(554 - 500), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101010 + 0o11) + chr(49) + '\x30', 56267 - 56259), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(0b1101111) + '\062' + chr(1645 - 1591) + chr(839 - 785), 14212 - 14204), ehT0Px3KOsy9(chr(0b110000) + chr(818 - 707) + chr(51) + '\061' + chr(0b110101), 44760 - 44752), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110101) + '\067', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(912 - 864) + '\x6f' + chr(1973 - 1920) + chr(61 - 13), 45515 - 45507)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(100) + '\x65' + chr(0b1100011) + chr(0b111100 + 0o63) + chr(100) + chr(0b1011 + 0o132))('\165' + chr(0b1011111 + 0o25) + chr(9262 - 9160) + chr(1178 - 1133) + chr(1534 - 1478)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def pE3A77uBWi84(qj__vTk2GDta, Wuetkhsbidt0) -> MRK8Uzg2En3D[xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xf7D>\xa2\xb6\x7f'), chr(100) + chr(101) + chr(0b1100011) + chr(111) + chr(4721 - 4621) + '\145')(chr(0b1110101) + '\164' + '\146' + chr(0b101101) + chr(0b111000))), ehT0Px3KOsy9]:
J5hmqA0MpN_u = ehT0Px3KOsy9('\x30' + '\x6f' + '\x30', 8)
Dis0J9lCCVuw = ehT0Px3KOsy9(chr(1608 - 1560) + chr(4842 - 4731) + chr(0b110000), 8)
def nRjNCG5My74U() -> xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'b\xf7D>\xa2\xb6\x7f'), '\144' + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(5007 - 4907) + chr(2544 - 2443))('\165' + chr(0b10010 + 0o142) + chr(352 - 250) + chr(45) + chr(0b101001 + 0o17))):
IDA_DuLQFKjN = WqUC3KWvYVup.random.rand(Wuetkhsbidt0) * WqUC3KWvYVup.log(qj__vTk2GDta + ehT0Px3KOsy9(chr(0b110000) + chr(0b101001 + 0o106) + chr(0b110001), ord("\x08")))
db1_IZvznkcy = WqUC3KWvYVup.exp(IDA_DuLQFKjN).astype(xafqLlk3kkUe(SXOLrMavuUCe(b'e\xfdQz\xe4'), chr(1124 - 1024) + chr(8371 - 8270) + chr(525 - 426) + chr(0b1101111) + chr(6903 - 6803) + '\x65')(chr(0b1110001 + 0o4) + '\164' + chr(3244 - 3142) + chr(0b101101) + chr(56))) - ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)
return xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'D\xabm\x19\x81\xbaOH\x8a\xda_m'), chr(0b110101 + 0o57) + chr(0b1001001 + 0o34) + '\x63' + '\157' + chr(0b101010 + 0o72) + chr(0b10101 + 0o120))(chr(0b1110101) + '\164' + chr(102) + '\x2d' + chr(0b11 + 0o65)))(db1_IZvznkcy, a_min=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110000), 8), a_max=qj__vTk2GDta - ehT0Px3KOsy9(chr(0b110000) + chr(1264 - 1153) + chr(0b110001), 8))
zK2Lq1NMci9t = nRjNCG5My74U()
Fu3c7_4_jhS8 = ehT0Px3KOsy9('\060' + chr(2349 - 2238) + chr(0b101001 + 0o7), 8)
db1_IZvznkcy = MVEN8G6CxlvR()
while Dis0J9lCCVuw < Wuetkhsbidt0:
J5hmqA0MpN_u += ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(111) + '\x31', 8)
uYSRtekgWl52 = zK2Lq1NMci9t[Fu3c7_4_jhS8]
if uYSRtekgWl52 not in db1_IZvznkcy:
xafqLlk3kkUe(db1_IZvznkcy, xafqLlk3kkUe(SXOLrMavuUCe(b'y\xd9\x15=\xe9\xb4A\x18\xa2\xf0\x7fi'), chr(100) + chr(0b1100101) + chr(99) + chr(0b110111 + 0o70) + chr(0b1010010 + 0o22) + chr(0b1100101))(chr(0b1000111 + 0o56) + chr(4050 - 3934) + chr(0b1100110) + chr(0b10000 + 0o35) + chr(0b111000)))(uYSRtekgWl52)
Dis0J9lCCVuw += ehT0Px3KOsy9(chr(1084 - 1036) + '\157' + '\x31', 8)
Fu3c7_4_jhS8 += ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1100001 + 0o16) + chr(49), 8)
if Fu3c7_4_jhS8 == Wuetkhsbidt0:
zK2Lq1NMci9t = nRjNCG5My74U()
Fu3c7_4_jhS8 = ehT0Px3KOsy9('\060' + '\157' + chr(102 - 54), 8)
return (xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'N\xa3@\x1c\x94\xbfv\\\x80\xf1\x184'), chr(0b110100 + 0o60) + chr(0b1011011 + 0o12) + '\x63' + chr(111) + '\x64' + '\145')(chr(117) + chr(0b1110100) + chr(9274 - 9172) + chr(45) + chr(56)))(YyaZ4tpXu4lf(db1_IZvznkcy)), J5hmqA0MpN_u)
|
allenai/allennlp
|
allennlp/data/token_indexers/token_indexer.py
|
TokenIndexer.tokens_to_indices
|
def tokens_to_indices(self,
tokens: List[Token],
vocabulary: Vocabulary,
index_name: str) -> Dict[str, List[TokenType]]:
"""
Takes a list of tokens and converts them to one or more sets of indices.
This could be just an ID for each token from the vocabulary.
Or it could split each token into characters and return one ID per character.
Or (for instance, in the case of byte-pair encoding) there might not be a clean
mapping from individual tokens to indices.
"""
raise NotImplementedError
|
python
|
def tokens_to_indices(self,
tokens: List[Token],
vocabulary: Vocabulary,
index_name: str) -> Dict[str, List[TokenType]]:
"""
Takes a list of tokens and converts them to one or more sets of indices.
This could be just an ID for each token from the vocabulary.
Or it could split each token into characters and return one ID per character.
Or (for instance, in the case of byte-pair encoding) there might not be a clean
mapping from individual tokens to indices.
"""
raise NotImplementedError
|
[
"def",
"tokens_to_indices",
"(",
"self",
",",
"tokens",
":",
"List",
"[",
"Token",
"]",
",",
"vocabulary",
":",
"Vocabulary",
",",
"index_name",
":",
"str",
")",
"->",
"Dict",
"[",
"str",
",",
"List",
"[",
"TokenType",
"]",
"]",
":",
"raise",
"NotImplementedError"
] |
Takes a list of tokens and converts them to one or more sets of indices.
This could be just an ID for each token from the vocabulary.
Or it could split each token into characters and return one ID per character.
Or (for instance, in the case of byte-pair encoding) there might not be a clean
mapping from individual tokens to indices.
|
[
"Takes",
"a",
"list",
"of",
"tokens",
"and",
"converts",
"them",
"to",
"one",
"or",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/token_indexers/token_indexer.py#L33-L44
|
train
|
Takes a list of tokens and converts them to one or more sets of indices.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + '\062' + '\x32' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(1199 - 1151) + chr(0b1010100 + 0o33) + chr(302 - 251) + '\x31' + chr(0b110001), 13067 - 13059), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(50) + chr(0b100010 + 0o22) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(865 - 815) + chr(0b1100 + 0o45) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x34' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b101100 + 0o103) + chr(0b100101 + 0o15) + chr(49) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b110010 + 0o75) + chr(51) + chr(0b110010) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(988 - 937) + '\064' + chr(48), 14715 - 14707), ehT0Px3KOsy9(chr(48) + '\157' + chr(49) + chr(50) + chr(1739 - 1684), 0o10), ehT0Px3KOsy9(chr(2275 - 2227) + chr(481 - 370) + chr(0b11110 + 0o24) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\x31' + '\064' + '\064', 30938 - 30930), ehT0Px3KOsy9('\x30' + chr(0b1010 + 0o145) + chr(0b101011 + 0o7) + '\x31' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(2097 - 2049) + '\157' + chr(50) + chr(685 - 630) + chr(1890 - 1836), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100110 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101010 + 0o5) + chr(0b110001) + chr(0b110000) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + chr(0b100011 + 0o16) + '\063', 24558 - 24550), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(53) + '\x30', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(4655 - 4544) + '\062' + chr(0b110110) + chr(1014 - 961), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x35' + chr(0b11101 + 0o26), 21388 - 21380), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(2008 - 1897) + chr(0b110001) + chr(0b110001), 15679 - 15671), ehT0Px3KOsy9(chr(0b110000) + chr(3571 - 3460) + chr(51) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11001 + 0o30) + '\x31' + chr(1889 - 1835), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\062' + '\x34' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1413 - 1302) + chr(0b101000 + 0o13) + '\064' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(811 - 700) + '\063' + chr(0b100000 + 0o24) + chr(0b10011 + 0o37), 6109 - 6101), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(1887 - 1839), 22786 - 22778), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b1101111) + '\062' + chr(0b110011) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + '\x35' + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\064' + '\x37', 8), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + '\x33' + chr(0b100011 + 0o21), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + chr(50) + chr(1317 - 1263) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(53) + chr(0b111 + 0o53), 27818 - 27810), ehT0Px3KOsy9(chr(1446 - 1398) + chr(0b1100110 + 0o11) + chr(1661 - 1611), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(319 - 268) + chr(115 - 60), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b10000 + 0o42) + chr(0b110000) + '\x33', 18759 - 18751), ehT0Px3KOsy9(chr(0b110000) + chr(9380 - 9269) + '\x36' + '\061', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(657 - 607) + chr(1183 - 1132) + chr(1497 - 1449), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(2197 - 2147) + '\x35' + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\x6f' + '\062' + '\x37' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(2579 - 2528) + chr(1676 - 1628), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + chr(0b11111 + 0o21), 48106 - 48098)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd'), chr(0b1100100) + chr(0b111110 + 0o47) + chr(4166 - 4067) + chr(0b1101111) + chr(0b1100100) + '\145')(chr(0b1110101) + '\x74' + chr(4043 - 3941) + chr(0b101101) + chr(734 - 678)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def YtoUaMvlhpdT(oVre8I6UXc3b, Sz7tXxaCGqJ1, Vemi1XCgm0ph, UxVryR3RtBjw) -> zBnV56fc6HrA[M8_cKLkHVB2V, qRxF7OQ0y39T[eXdenZbwHi0I]]:
raise _zJ24Vce7wp0
|
allenai/allennlp
|
allennlp/data/token_indexers/token_indexer.py
|
TokenIndexer.pad_token_sequence
|
def pad_token_sequence(self,
tokens: Dict[str, List[TokenType]],
desired_num_tokens: Dict[str, int],
padding_lengths: Dict[str, int]) -> Dict[str, List[TokenType]]:
"""
This method pads a list of tokens to ``desired_num_tokens`` and returns a padded copy of the
input tokens. If the input token list is longer than ``desired_num_tokens`` then it will be
truncated.
``padding_lengths`` is used to provide supplemental padding parameters which are needed
in some cases. For example, it contains the widths to pad characters to when doing
character-level padding.
"""
raise NotImplementedError
|
python
|
def pad_token_sequence(self,
tokens: Dict[str, List[TokenType]],
desired_num_tokens: Dict[str, int],
padding_lengths: Dict[str, int]) -> Dict[str, List[TokenType]]:
"""
This method pads a list of tokens to ``desired_num_tokens`` and returns a padded copy of the
input tokens. If the input token list is longer than ``desired_num_tokens`` then it will be
truncated.
``padding_lengths`` is used to provide supplemental padding parameters which are needed
in some cases. For example, it contains the widths to pad characters to when doing
character-level padding.
"""
raise NotImplementedError
|
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] |
This method pads a list of tokens to ``desired_num_tokens`` and returns a padded copy of the
input tokens. If the input token list is longer than ``desired_num_tokens`` then it will be
truncated.
``padding_lengths`` is used to provide supplemental padding parameters which are needed
in some cases. For example, it contains the widths to pad characters to when doing
character-level padding.
|
[
"This",
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"to",
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"then",
"it",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/token_indexers/token_indexer.py#L62-L75
|
train
|
This method pads a list of tokens to desired_num_tokens and returns a padded copy of the input tokens.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(284 - 236) + chr(0b1101111) + chr(49) + chr(50) + chr(2007 - 1959), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(8392 - 8281) + chr(50) + '\x35' + chr(0b100111 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b1001010 + 0o45) + chr(50) + chr(52) + chr(880 - 825), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + '\062' + chr(55) + chr(52), 0b1000), ehT0Px3KOsy9(chr(48) + chr(4339 - 4228) + '\x31' + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b110101) + '\x35', 56621 - 56613), ehT0Px3KOsy9('\060' + chr(8443 - 8332) + chr(0b110011) + chr(0b110111) + chr(3022 - 2967), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(2285 - 2235) + chr(0b110111) + '\x35', 59878 - 59870), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(7795 - 7684) + '\x32' + chr(0b110001) + chr(268 - 219), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110010) + chr(0b10110 + 0o34) + chr(0b1011 + 0o45), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b1101111) + '\x32' + '\x36' + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10000 + 0o137) + chr(0b100101 + 0o15) + '\x31' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110100) + chr(0b110110), 38106 - 38098), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(908 - 858) + chr(0b11111 + 0o27), ord("\x08")), ehT0Px3KOsy9(chr(2057 - 2009) + chr(111) + chr(0b101010 + 0o13) + chr(351 - 301), ord("\x08")), ehT0Px3KOsy9(chr(1988 - 1940) + '\157' + chr(0b110010) + '\065', ord("\x08")), ehT0Px3KOsy9('\060' + chr(8938 - 8827) + '\061' + chr(0b110011) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + chr(0b100101 + 0o16) + chr(1165 - 1112) + '\x30', 0o10), ehT0Px3KOsy9(chr(1304 - 1256) + chr(0b1100100 + 0o13) + chr(2247 - 2195) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1927 - 1879) + '\157' + chr(0b110010) + chr(0b110111) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(114 - 66) + chr(111) + '\063' + chr(250 - 201) + chr(2033 - 1982), 20046 - 20038), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1110 - 1060) + '\x36' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(917 - 869) + chr(0b1011100 + 0o23) + chr(0b10101 + 0o36) + chr(0b11110 + 0o23) + chr(591 - 543), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\157' + chr(0b110010) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011111 + 0o20) + '\x33' + chr(0b101 + 0o54) + chr(1902 - 1850), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b100010 + 0o20) + '\x34' + chr(0b1111 + 0o43), 263 - 255), ehT0Px3KOsy9(chr(1704 - 1656) + chr(3789 - 3678) + chr(0b110001) + chr(0b100011 + 0o16) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x35', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(799 - 749) + chr(738 - 688) + '\x31', 0o10), ehT0Px3KOsy9(chr(1905 - 1857) + '\x6f' + '\x31' + '\x36' + '\x31', 23240 - 23232), ehT0Px3KOsy9(chr(48) + chr(111) + chr(728 - 678) + chr(0b10110 + 0o41) + '\x34', 8), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x35' + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(53) + '\x35', 8), ehT0Px3KOsy9(chr(1710 - 1662) + chr(0b1101111) + chr(0b101010 + 0o7) + chr(2410 - 2357) + chr(2554 - 2499), 7562 - 7554), ehT0Px3KOsy9(chr(1234 - 1186) + chr(0b1011100 + 0o23) + chr(50) + chr(973 - 918) + chr(700 - 649), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001 + 0o1) + chr(1598 - 1548) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110101) + chr(0b110000), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(6206 - 6095) + '\x35' + '\x30', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'~'), chr(100) + chr(0b1100101) + chr(6940 - 6841) + '\x6f' + chr(1348 - 1248) + chr(101))(chr(117) + chr(116) + '\x66' + chr(1633 - 1588) + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def XgUf36J5LAso(oVre8I6UXc3b, Sz7tXxaCGqJ1, jq3V5XEmIeFh, QJBZYYPtla9t) -> zBnV56fc6HrA[M8_cKLkHVB2V, qRxF7OQ0y39T[eXdenZbwHi0I]]:
raise _zJ24Vce7wp0
|
allenai/allennlp
|
allennlp/data/dataset_readers/coreference_resolution/conll.py
|
canonicalize_clusters
|
def canonicalize_clusters(clusters: DefaultDict[int, List[Tuple[int, int]]]) -> List[List[Tuple[int, int]]]:
"""
The CONLL 2012 data includes 2 annotated spans which are identical,
but have different ids. This checks all clusters for spans which are
identical, and if it finds any, merges the clusters containing the
identical spans.
"""
merged_clusters: List[Set[Tuple[int, int]]] = []
for cluster in clusters.values():
cluster_with_overlapping_mention = None
for mention in cluster:
# Look at clusters we have already processed to
# see if they contain a mention in the current
# cluster for comparison.
for cluster2 in merged_clusters:
if mention in cluster2:
# first cluster in merged clusters
# which contains this mention.
cluster_with_overlapping_mention = cluster2
break
# Already encountered overlap - no need to keep looking.
if cluster_with_overlapping_mention is not None:
break
if cluster_with_overlapping_mention is not None:
# Merge cluster we are currently processing into
# the cluster in the processed list.
cluster_with_overlapping_mention.update(cluster)
else:
merged_clusters.append(set(cluster))
return [list(c) for c in merged_clusters]
|
python
|
def canonicalize_clusters(clusters: DefaultDict[int, List[Tuple[int, int]]]) -> List[List[Tuple[int, int]]]:
"""
The CONLL 2012 data includes 2 annotated spans which are identical,
but have different ids. This checks all clusters for spans which are
identical, and if it finds any, merges the clusters containing the
identical spans.
"""
merged_clusters: List[Set[Tuple[int, int]]] = []
for cluster in clusters.values():
cluster_with_overlapping_mention = None
for mention in cluster:
# Look at clusters we have already processed to
# see if they contain a mention in the current
# cluster for comparison.
for cluster2 in merged_clusters:
if mention in cluster2:
# first cluster in merged clusters
# which contains this mention.
cluster_with_overlapping_mention = cluster2
break
# Already encountered overlap - no need to keep looking.
if cluster_with_overlapping_mention is not None:
break
if cluster_with_overlapping_mention is not None:
# Merge cluster we are currently processing into
# the cluster in the processed list.
cluster_with_overlapping_mention.update(cluster)
else:
merged_clusters.append(set(cluster))
return [list(c) for c in merged_clusters]
|
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] |
The CONLL 2012 data includes 2 annotated spans which are identical,
but have different ids. This checks all clusters for spans which are
identical, and if it finds any, merges the clusters containing the
identical spans.
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/coreference_resolution/conll.py#L18-L47
|
train
|
Canonicalizes the clusters in CONLL 2012 data.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(111) + '\x31' + '\065' + '\064', 56146 - 56138), ehT0Px3KOsy9(chr(175 - 127) + '\157' + chr(0b101001 + 0o10) + '\067' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b100000 + 0o117) + chr(2221 - 2170) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(826 - 778) + '\x6f' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\063' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(74 - 24) + '\060' + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + '\x31' + chr(731 - 676) + chr(0b110101), 55824 - 55816), ehT0Px3KOsy9(chr(1555 - 1507) + '\157' + chr(0b110011) + chr(0b110110) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\063' + chr(2631 - 2578) + chr(49), 0b1000), ehT0Px3KOsy9(chr(689 - 641) + '\x6f' + '\062' + chr(0b100101 + 0o15) + '\064', 25715 - 25707), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(0b100010 + 0o17) + chr(0b110001) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31' + chr(0b110001) + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1004 - 955) + chr(0b110010 + 0o4) + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(1846 - 1795) + '\x30' + chr(2612 - 2558), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\063' + '\x31', 58544 - 58536), ehT0Px3KOsy9('\x30' + chr(7720 - 7609) + chr(1779 - 1728) + '\062', 0o10), ehT0Px3KOsy9(chr(874 - 826) + chr(0b1101111) + '\061' + chr(355 - 302) + chr(49), 43159 - 43151), ehT0Px3KOsy9(chr(2059 - 2011) + chr(0b1101111) + chr(51) + '\060' + chr(0b101101 + 0o12), 1004 - 996), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + '\066' + chr(0b110110), 8), ehT0Px3KOsy9(chr(48) + chr(6184 - 6073) + chr(363 - 312) + chr(52) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o12) + chr(2086 - 2033), 0o10), ehT0Px3KOsy9('\060' + chr(1372 - 1261) + '\x32' + chr(50) + '\x30', 3890 - 3882), ehT0Px3KOsy9(chr(1416 - 1368) + '\157' + '\x37' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1095 - 1045) + chr(51) + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9180 - 9069) + '\066' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1111 + 0o45) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + chr(10527 - 10416) + chr(0b100110 + 0o15) + chr(48) + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(516 - 466) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(6129 - 6018) + '\x31' + '\064' + chr(55), 44007 - 43999), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b1111 + 0o41) + '\x31', 11802 - 11794), ehT0Px3KOsy9(chr(0b110000 + 0o0) + '\157' + '\x34' + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(0b110000) + chr(0b1111 + 0o46), 8), ehT0Px3KOsy9('\060' + chr(0b10110 + 0o131) + '\x32' + chr(49) + chr(0b110100), 34539 - 34531), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x30' + '\065', 8), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(0b11010 + 0o125) + chr(190 - 140) + chr(0b101111 + 0o7) + chr(0b11110 + 0o30), ord("\x08")), ehT0Px3KOsy9(chr(2089 - 2041) + '\x6f' + chr(593 - 544) + chr(48) + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2338 - 2289) + '\x33' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(676 - 628) + '\157' + '\063' + chr(1623 - 1573) + chr(55), 35018 - 35010)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + '\x35' + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'B'), '\144' + chr(101) + '\143' + chr(0b1011011 + 0o24) + '\x64' + '\x65')(chr(117) + chr(116) + chr(0b1100110) + chr(1027 - 982) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def _mG6W47knY9G(sAHNhSKkzJx7) -> qRxF7OQ0y39T[qRxF7OQ0y39T[MRK8Uzg2En3D[ehT0Px3KOsy9, ehT0Px3KOsy9]]]:
tguJGtGWHX5L = []
for MM44MZHrD3Bf in xafqLlk3kkUe(sAHNhSKkzJx7, xafqLlk3kkUe(SXOLrMavuUCe(b'?+pC\x16\xf5H\xc2Y\xd8\xf0/'), '\x64' + chr(101) + chr(99) + chr(8436 - 8325) + '\144' + '\145')(chr(117) + '\x74' + chr(102) + '\055' + chr(0b111000)))():
XZ3Nzf4_9nyT = None
for KzVVEFpkOMc8 in MM44MZHrD3Bf:
for vYkFAbdHLKiJ in tguJGtGWHX5L:
if KzVVEFpkOMc8 in vYkFAbdHLKiJ:
XZ3Nzf4_9nyT = vYkFAbdHLKiJ
break
if XZ3Nzf4_9nyT is not None:
break
if XZ3Nzf4_9nyT is not None:
xafqLlk3kkUe(XZ3Nzf4_9nyT, xafqLlk3kkUe(SXOLrMavuUCe(b'6\x0f_E1\xce7\x98h\xdd\xf1}'), chr(0b1100010 + 0o2) + chr(5238 - 5137) + chr(99) + chr(0b1000010 + 0o55) + '\144' + '\x65')(chr(3360 - 3243) + '\x74' + chr(0b1100000 + 0o6) + '\x2d' + chr(56)))(MM44MZHrD3Bf)
else:
xafqLlk3kkUe(tguJGtGWHX5L, xafqLlk3kkUe(SXOLrMavuUCe(b'\r\x0bne6\xe4'), chr(0b1011111 + 0o5) + chr(0b1100101) + chr(99) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + '\164' + '\146' + '\055' + chr(1951 - 1895)))(MVEN8G6CxlvR(MM44MZHrD3Bf))
return [YyaZ4tpXu4lf(qzn1Ctg9WgNh) for qzn1Ctg9WgNh in tguJGtGWHX5L]
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
join_mwp
|
def join_mwp(tags: List[str]) -> List[str]:
"""
Join multi-word predicates to a single
predicate ('V') token.
"""
ret = []
verb_flag = False
for tag in tags:
if "V" in tag:
# Create a continuous 'V' BIO span
prefix, _ = tag.split("-")
if verb_flag:
# Continue a verb label across the different predicate parts
prefix = 'I'
ret.append(f"{prefix}-V")
verb_flag = True
else:
ret.append(tag)
verb_flag = False
return ret
|
python
|
def join_mwp(tags: List[str]) -> List[str]:
"""
Join multi-word predicates to a single
predicate ('V') token.
"""
ret = []
verb_flag = False
for tag in tags:
if "V" in tag:
# Create a continuous 'V' BIO span
prefix, _ = tag.split("-")
if verb_flag:
# Continue a verb label across the different predicate parts
prefix = 'I'
ret.append(f"{prefix}-V")
verb_flag = True
else:
ret.append(tag)
verb_flag = False
return ret
|
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] |
Join multi-word predicates to a single
predicate ('V') token.
|
[
"Join",
"multi",
"-",
"word",
"predicates",
"to",
"a",
"single",
"predicate",
"(",
"V",
")",
"token",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L13-L33
|
train
|
Joins multi - word predicates to a single - word predicate ('V') token.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2154 - 2103) + chr(0b110111) + '\x34', 46003 - 45995), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b100101 + 0o16) + '\x35' + '\x36', 48298 - 48290), ehT0Px3KOsy9(chr(1411 - 1363) + chr(0b1000111 + 0o50) + chr(2191 - 2142) + chr(53) + chr(997 - 948), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(2601 - 2546) + chr(0b110001), 43613 - 43605), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1101 + 0o44) + chr(0b110000) + chr(1814 - 1763), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11 + 0o57) + '\x34' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + chr(8998 - 8887) + '\061' + chr(49) + chr(0b0 + 0o64), 46684 - 46676), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b1101111) + '\x31' + '\x33', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001101 + 0o42) + chr(51) + '\067', 9779 - 9771), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(0b110010) + chr(0b1 + 0o61), 58537 - 58529), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b10101 + 0o36) + chr(0b110111) + '\061', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(7916 - 7805) + '\061' + chr(0b101001 + 0o7) + chr(0b100001 + 0o25), ord("\x08")), ehT0Px3KOsy9(chr(1112 - 1064) + chr(11644 - 11533) + chr(0b110000 + 0o1) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1244 - 1194) + '\065', 23981 - 23973), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + '\x32' + '\064' + chr(51), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + '\157' + chr(2965 - 2910), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(7502 - 7391) + chr(0b100110 + 0o15) + '\060' + '\x37', 22543 - 22535), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001 + 0o2) + chr(0b100100 + 0o23), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(2158 - 2110) + chr(1237 - 1126) + chr(51), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6361 - 6250) + chr(0b110011) + chr(1524 - 1475), 0b1000), ehT0Px3KOsy9(chr(1670 - 1622) + '\x6f' + chr(0b101 + 0o55) + chr(2226 - 2178) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(6602 - 6491) + chr(188 - 137) + '\x30', 48320 - 48312), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b111010 + 0o65) + '\063' + '\x34', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + '\x36' + '\x33', 48842 - 48834), ehT0Px3KOsy9(chr(424 - 376) + '\x6f' + chr(49) + chr(51) + chr(55), 27163 - 27155), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(0b110001) + chr(0b110001 + 0o1) + '\065', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(49) + '\060', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(54) + chr(738 - 683), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8829 - 8718) + '\062' + chr(2928 - 2873) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5140 - 5029) + chr(0b11100 + 0o27) + '\x35' + chr(1139 - 1091), ord("\x08")), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(2298 - 2247) + chr(0b110101) + chr(0b100101 + 0o20), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1303 - 1254) + chr(0b10000 + 0o44) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100000 + 0o21) + '\060', 0o10), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(1101 - 990) + chr(0b1001 + 0o51) + chr(55) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(768 - 720) + '\157' + '\x33' + chr(1484 - 1432) + '\x37', 0o10), ehT0Px3KOsy9(chr(2110 - 2062) + '\x6f' + '\x33' + chr(1974 - 1919) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\x36', 0o10), ehT0Px3KOsy9(chr(1526 - 1478) + chr(0b1101111) + chr(0b110110), 32103 - 32095), ehT0Px3KOsy9('\060' + chr(0b110101 + 0o72) + chr(457 - 405) + chr(0b10001 + 0o40), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1026 - 973) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2'), '\144' + chr(0b1001 + 0o134) + '\143' + chr(11727 - 11616) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b1100110) + chr(0b100010 + 0o13) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def sXlBzcYRrl2U(MRGa81KE7QCh) -> qRxF7OQ0y39T[M8_cKLkHVB2V]:
VHn4CV4Ymrei = []
X8X97R2Y3D63 = ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + '\060', ord("\x08"))
for CPdEsc5O1sf7 in MRGa81KE7QCh:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xaa'), chr(4428 - 4328) + '\145' + '\x63' + '\157' + '\x64' + chr(101))('\165' + chr(116) + '\146' + chr(45) + chr(56)) in CPdEsc5O1sf7:
(K1Ha0XjJTAE7, VNGQdHSFPrso) = CPdEsc5O1sf7.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd1'), chr(100) + chr(0b101000 + 0o75) + chr(0b1100011) + chr(0b110010 + 0o75) + '\x64' + '\145')(chr(117) + chr(13038 - 12922) + chr(0b1100110) + chr(0b101101) + chr(0b11111 + 0o31)))
if X8X97R2Y3D63:
K1Ha0XjJTAE7 = xafqLlk3kkUe(SXOLrMavuUCe(b'\xb5'), chr(100) + '\145' + '\143' + chr(7593 - 7482) + chr(4262 - 4162) + chr(0b1100101 + 0o0))(chr(0b1110101) + chr(3988 - 3872) + '\146' + chr(423 - 378) + '\x38')
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x9e\x19\x1c-\xc4'), '\144' + '\145' + '\x63' + chr(7835 - 7724) + '\144' + chr(101))(chr(0b10101 + 0o140) + chr(4629 - 4513) + '\146' + '\055' + chr(0b111000)))(f'{K1Ha0XjJTAE7}-V')
X8X97R2Y3D63 = ehT0Px3KOsy9('\060' + '\x6f' + chr(329 - 280), 0b1000)
else:
xafqLlk3kkUe(VHn4CV4Ymrei, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x9e\x19\x1c-\xc4'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(100) + chr(9020 - 8919))(chr(117) + chr(6818 - 6702) + chr(0b110 + 0o140) + '\x2d' + chr(0b101000 + 0o20)))(CPdEsc5O1sf7)
X8X97R2Y3D63 = ehT0Px3KOsy9('\x30' + chr(6957 - 6846) + chr(48), 8)
return VHn4CV4Ymrei
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
make_oie_string
|
def make_oie_string(tokens: List[Token], tags: List[str]) -> str:
"""
Converts a list of model outputs (i.e., a list of lists of bio tags, each
pertaining to a single word), returns an inline bracket representation of
the prediction.
"""
frame = []
chunk = []
words = [token.text for token in tokens]
for (token, tag) in zip(words, tags):
if tag.startswith("I-"):
chunk.append(token)
else:
if chunk:
frame.append("[" + " ".join(chunk) + "]")
chunk = []
if tag.startswith("B-"):
chunk.append(tag[2:] + ": " + token)
elif tag == "O":
frame.append(token)
if chunk:
frame.append("[" + " ".join(chunk) + "]")
return " ".join(frame)
|
python
|
def make_oie_string(tokens: List[Token], tags: List[str]) -> str:
"""
Converts a list of model outputs (i.e., a list of lists of bio tags, each
pertaining to a single word), returns an inline bracket representation of
the prediction.
"""
frame = []
chunk = []
words = [token.text for token in tokens]
for (token, tag) in zip(words, tags):
if tag.startswith("I-"):
chunk.append(token)
else:
if chunk:
frame.append("[" + " ".join(chunk) + "]")
chunk = []
if tag.startswith("B-"):
chunk.append(tag[2:] + ": " + token)
elif tag == "O":
frame.append(token)
if chunk:
frame.append("[" + " ".join(chunk) + "]")
return " ".join(frame)
|
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] |
Converts a list of model outputs (i.e., a list of lists of bio tags, each
pertaining to a single word), returns an inline bracket representation of
the prediction.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L35-L61
|
train
|
Converts a list of model outputs into an inline bracket representation of the prediction.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(1154 - 1104) + chr(52) + '\061', 45472 - 45464), ehT0Px3KOsy9('\x30' + chr(3608 - 3497) + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101001 + 0o6) + chr(0b110011) + '\x33' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b1010010 + 0o35) + chr(0b10101 + 0o34) + '\062' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(1140 - 1029) + chr(2248 - 2199) + chr(0b110100), 15802 - 15794), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\x33' + chr(0b110000) + chr(54), 6398 - 6390), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(0b110100) + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001101 + 0o42) + '\062' + chr(0b10010 + 0o44) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11026 - 10915) + chr(1116 - 1065) + '\x33' + '\066', 8), ehT0Px3KOsy9('\x30' + '\157' + '\066' + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + chr(9989 - 9878) + chr(0b110100) + chr(0b11100 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(639 - 591) + '\x6f' + chr(0b110010) + '\067', 0o10), ehT0Px3KOsy9('\060' + chr(10979 - 10868) + chr(2315 - 2264) + chr(1737 - 1683) + chr(284 - 233), 17626 - 17618), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + '\061' + '\x34' + chr(0b1101 + 0o47), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110000 + 0o1) + chr(0b100111 + 0o14) + '\x35', 58238 - 58230), ehT0Px3KOsy9(chr(0b110000) + chr(1427 - 1316) + chr(0b110001) + '\064' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10 + 0o60) + '\066' + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(4501 - 4390) + '\x33' + chr(0b0 + 0o61) + '\x35', 8679 - 8671), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(51) + '\x32' + chr(50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110111) + chr(54), 0b1000), ehT0Px3KOsy9(chr(1726 - 1678) + '\x6f' + chr(0b110010) + '\064' + chr(0b101011 + 0o11), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(0b110000) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(9803 - 9692) + chr(0b10010 + 0o37) + '\061' + '\x32', 5331 - 5323), ehT0Px3KOsy9('\060' + chr(0b110100 + 0o73) + chr(0b100101 + 0o20) + chr(0b1011 + 0o52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1000000 + 0o57) + chr(0b110011 + 0o0) + chr(55) + chr(0b110000), 39125 - 39117), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(1711 - 1661) + '\060' + chr(0b110100), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1398 - 1348) + chr(1284 - 1231), 7194 - 7186), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b110011) + '\064' + chr(0b100111 + 0o20), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\061' + chr(0b100110 + 0o12) + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101001 + 0o6) + '\062' + chr(0b100100 + 0o17) + chr(2825 - 2771), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(5315 - 5204) + '\x34' + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10010 + 0o36) + '\157' + '\062' + chr(996 - 941), 8), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\063' + '\064' + chr(2463 - 2410), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\066' + '\062', 0b1000), ehT0Px3KOsy9(chr(1504 - 1456) + '\157' + chr(0b110011) + '\x33' + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1000101 + 0o52) + '\x35' + chr(395 - 342), 8), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + chr(0b1100 + 0o46) + chr(0b100010 + 0o20) + chr(2103 - 2049), 55812 - 55804), ehT0Px3KOsy9('\x30' + '\x6f' + '\x37' + '\062', 53684 - 53676), ehT0Px3KOsy9('\060' + '\157' + chr(538 - 488) + chr(822 - 767) + chr(1102 - 1049), 45178 - 45170)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(111) + chr(0b1 + 0o64) + '\060', 10766 - 10758)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + chr(7800 - 7699) + chr(0b1011010 + 0o11) + chr(111) + chr(0b1100100) + chr(7359 - 7258))(chr(117) + chr(116) + chr(0b1100110) + chr(731 - 686) + chr(0b110101 + 0o3)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KBSMnX64v2mC(Sz7tXxaCGqJ1, MRGa81KE7QCh) -> M8_cKLkHVB2V:
C4IqNNmLfHXB = []
qrKMvKviNzHg = []
o34DiSJcu6N2 = [mTy3fac_AqJ5.Ah1rInvg48Hb for mTy3fac_AqJ5 in Sz7tXxaCGqJ1]
for (mTy3fac_AqJ5, CPdEsc5O1sf7) in pZ0NK2y6HRbn(o34DiSJcu6N2, MRGa81KE7QCh):
if xafqLlk3kkUe(CPdEsc5O1sf7, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2u\xbf%x\xb5\x15\xd9\xaa]'), chr(100) + chr(101) + chr(0b111001 + 0o52) + chr(0b110110 + 0o71) + chr(100) + '\x65')('\x75' + '\x74' + '\146' + '\x2d' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8,'), '\144' + chr(0b100 + 0o141) + '\x63' + chr(0b1101111) + chr(4086 - 3986) + chr(101))(chr(0b1110101) + '\164' + chr(0b101 + 0o141) + chr(45) + chr(56))):
xafqLlk3kkUe(qrKMvKviNzHg, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0q\xae2b\xa2'), chr(100) + chr(2742 - 2641) + '\x63' + chr(111) + '\144' + chr(0b100010 + 0o103))(chr(117) + chr(1237 - 1121) + '\146' + chr(1646 - 1601) + '\x38'))(mTy3fac_AqJ5)
else:
if qrKMvKviNzHg:
xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0q\xae2b\xa2'), chr(0b1100100) + chr(9956 - 9855) + '\x63' + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(6622 - 6506) + chr(0b1100110) + '\x2d' + chr(0b100100 + 0o24)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(0b101100 + 0o70) + chr(2037 - 1936) + chr(99) + chr(111) + chr(100) + chr(101))('\x75' + chr(116) + chr(0b1100110) + chr(45) + '\x38') + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), '\144' + chr(0b1100101) + chr(8983 - 8884) + '\157' + chr(0b1100100) + '\x65')(chr(9829 - 9712) + '\x74' + chr(102) + chr(0b110 + 0o47) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfen\x89\x0fv\xb24\xfe\xb0DhQ'), '\144' + chr(0b1100101) + '\143' + chr(0b110011 + 0o74) + chr(100) + chr(0b1100101))('\165' + chr(5882 - 5766) + '\x66' + chr(45) + '\x38'))(qrKMvKviNzHg) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), '\x64' + chr(0b100111 + 0o76) + chr(0b1000001 + 0o42) + chr(3935 - 3824) + chr(0b101100 + 0o70) + chr(101))(chr(0b1110101) + chr(116) + '\146' + '\055' + '\070'))
qrKMvKviNzHg = []
if xafqLlk3kkUe(CPdEsc5O1sf7, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd2u\xbf%x\xb5\x15\xd9\xaa]'), chr(0b110000 + 0o64) + '\145' + chr(0b101000 + 0o73) + '\x6f' + chr(100) + chr(7366 - 7265))('\x75' + '\x74' + chr(0b1100110) + chr(554 - 509) + '\x38'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe3,'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(1156 - 1045) + chr(0b1011110 + 0o6) + '\x65')('\x75' + chr(0b100100 + 0o120) + chr(0b1001001 + 0o35) + chr(0b101101) + chr(0b110110 + 0o2))):
xafqLlk3kkUe(qrKMvKviNzHg, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0q\xae2b\xa2'), chr(0b10011 + 0o121) + chr(6372 - 6271) + '\143' + '\x6f' + '\x64' + chr(101))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(56)))(CPdEsc5O1sf7[ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11111 + 0o23), 0o10):] + xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b!'), chr(0b1100001 + 0o3) + chr(0b1100101) + chr(99) + chr(0b1011111 + 0o20) + chr(100) + chr(0b1111 + 0o126))('\x75' + '\x74' + '\x66' + chr(45) + chr(56)) + mTy3fac_AqJ5)
elif CPdEsc5O1sf7 == xafqLlk3kkUe(SXOLrMavuUCe(b'\xee'), chr(0b1010101 + 0o17) + chr(5619 - 5518) + '\143' + chr(111) + '\x64' + chr(101))('\x75' + chr(8938 - 8822) + chr(0b1100110) + chr(45) + chr(0b101001 + 0o17)):
xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0q\xae2b\xa2'), '\x64' + '\145' + chr(0b1001100 + 0o27) + '\157' + chr(0b1100100) + '\145')(chr(10063 - 9946) + '\x74' + chr(102) + chr(0b100 + 0o51) + chr(56)))(mTy3fac_AqJ5)
if qrKMvKviNzHg:
xafqLlk3kkUe(C4IqNNmLfHXB, xafqLlk3kkUe(SXOLrMavuUCe(b'\xc0q\xae2b\xa2'), chr(100) + chr(101) + chr(0b1111 + 0o124) + '\157' + chr(0b10101 + 0o117) + chr(0b1011010 + 0o13))(chr(8670 - 8553) + chr(116) + chr(102) + '\055' + chr(0b111000)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfa'), chr(0b110101 + 0o57) + chr(0b1011101 + 0o10) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(0b1110101) + '\164' + '\x66' + chr(0b101101) + chr(56)) + xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), '\x64' + '\145' + chr(0b1100011) + chr(111) + '\x64' + chr(101))(chr(117) + '\x74' + chr(3020 - 2918) + '\x2d' + chr(2547 - 2491)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfen\x89\x0fv\xb24\xfe\xb0DhQ'), '\144' + chr(3314 - 3213) + chr(0b1000 + 0o133) + chr(4427 - 4316) + chr(905 - 805) + '\x65')('\165' + chr(1280 - 1164) + chr(0b1100110) + chr(0b101001 + 0o4) + chr(0b111000)))(qrKMvKviNzHg) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xfc'), '\x64' + chr(0b10000 + 0o125) + chr(99) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1110100) + chr(2830 - 2728) + chr(45) + chr(56)))
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x81'), chr(0b1100 + 0o130) + '\x65' + chr(99) + chr(0b1010010 + 0o35) + chr(100) + chr(0b110001 + 0o64))(chr(0b1110101) + chr(0b100110 + 0o116) + chr(0b1100110) + chr(1902 - 1857) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xfen\x89\x0fv\xb24\xfe\xb0DhQ'), '\144' + chr(9935 - 9834) + chr(0b110010 + 0o61) + chr(0b1101111) + '\x64' + chr(5804 - 5703))('\165' + chr(0b10101 + 0o137) + '\146' + chr(617 - 572) + chr(0b110100 + 0o4)))(C4IqNNmLfHXB)
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
get_predicate_indices
|
def get_predicate_indices(tags: List[str]) -> List[int]:
"""
Return the word indices of a predicate in BIO tags.
"""
return [ind for ind, tag in enumerate(tags) if 'V' in tag]
|
python
|
def get_predicate_indices(tags: List[str]) -> List[int]:
"""
Return the word indices of a predicate in BIO tags.
"""
return [ind for ind, tag in enumerate(tags) if 'V' in tag]
|
[
"def",
"get_predicate_indices",
"(",
"tags",
":",
"List",
"[",
"str",
"]",
")",
"->",
"List",
"[",
"int",
"]",
":",
"return",
"[",
"ind",
"for",
"ind",
",",
"tag",
"in",
"enumerate",
"(",
"tags",
")",
"if",
"'V'",
"in",
"tag",
"]"
] |
Return the word indices of a predicate in BIO tags.
|
[
"Return",
"the",
"word",
"indices",
"of",
"a",
"predicate",
"in",
"BIO",
"tags",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L63-L67
|
train
|
Return the word indices of a predicate in BIO tags.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(129 - 81) + chr(0b1101111) + chr(0b11011 + 0o26) + chr(488 - 438) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1100 + 0o143) + chr(0b10001 + 0o40) + chr(0b10001 + 0o37) + chr(0b110001 + 0o6), 9004 - 8996), ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(111) + '\x33' + chr(0b100101 + 0o14) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2261 - 2210) + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(687 - 638) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(0b110000) + chr(86 - 36), 28791 - 28783), ehT0Px3KOsy9(chr(0b11011 + 0o25) + chr(111) + chr(50) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b101110 + 0o4) + '\x34' + chr(51), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100101 + 0o12) + chr(0b10110 + 0o34) + chr(49) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(325 - 277) + chr(0b100010 + 0o115) + '\x33' + chr(0b11100 + 0o26) + chr(0b101000 + 0o15), 0o10), ehT0Px3KOsy9(chr(1445 - 1397) + chr(0b1101111) + chr(0b110001) + chr(1994 - 1945) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(5858 - 5747) + chr(0b110011) + '\060' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(111) + chr(2354 - 2303) + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101111 + 0o100) + chr(1223 - 1173) + chr(0b110001) + chr(2338 - 2288), 8), ehT0Px3KOsy9(chr(48) + chr(0b100000 + 0o117) + chr(54) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b100110 + 0o12) + chr(10552 - 10441) + chr(1935 - 1885) + '\x30' + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + '\x34' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(0b1101111) + chr(1222 - 1173) + chr(0b110011) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(2678 - 2625) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + '\065' + chr(0b110011), 27926 - 27918), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + chr(51) + chr(849 - 796) + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(1081 - 1033) + chr(1432 - 1382), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(53), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\061' + chr(53) + '\x32', 21003 - 20995), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101111 + 0o4) + chr(1224 - 1174), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\061' + chr(702 - 653), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(53) + chr(0b101010 + 0o14), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b100111 + 0o14) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011000 + 0o27) + chr(0b1001 + 0o51) + chr(51) + chr(0b11100 + 0o27), 8067 - 8059), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(869 - 819) + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\x6f' + '\x32' + '\062' + '\x36', 57416 - 57408), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + chr(0b110001) + chr(1999 - 1951), 0b1000), ehT0Px3KOsy9(chr(1790 - 1742) + chr(111) + chr(51) + '\x32' + '\x35', 8), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(50) + chr(1510 - 1458) + chr(0b10001 + 0o45), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x37' + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(979 - 931) + chr(0b110110 + 0o71) + chr(0b110011) + chr(0b10001 + 0o43) + '\x35', 8), ehT0Px3KOsy9(chr(1056 - 1008) + chr(0b1010011 + 0o34) + chr(0b100001 + 0o20) + '\062' + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + chr(0b0 + 0o66) + chr(1773 - 1724), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11011 + 0o27) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + chr(0b1110 + 0o50) + '\x31', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(684 - 631) + chr(0b11 + 0o55), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'}'), chr(0b1100100) + chr(0b1110 + 0o127) + chr(99) + '\x6f' + chr(100) + '\145')(chr(0b1011010 + 0o33) + chr(4318 - 4202) + chr(0b1011100 + 0o12) + chr(453 - 408) + chr(804 - 748)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def rBG1PL7nWkEi(MRGa81KE7QCh) -> qRxF7OQ0y39T[ehT0Px3KOsy9]:
return [r3s_x88rHjuC for (r3s_x88rHjuC, CPdEsc5O1sf7) in YlkZvXL8qwsX(MRGa81KE7QCh) if xafqLlk3kkUe(SXOLrMavuUCe(b'\x05'), '\144' + '\x65' + '\143' + chr(111) + chr(0b110101 + 0o57) + chr(0b1100101))(chr(0b110101 + 0o100) + chr(0b1001100 + 0o50) + chr(102) + chr(360 - 315) + '\x38') in CPdEsc5O1sf7]
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
get_predicate_text
|
def get_predicate_text(sent_tokens: List[Token], tags: List[str]) -> str:
"""
Get the predicate in this prediction.
"""
return " ".join([sent_tokens[pred_id].text
for pred_id in get_predicate_indices(tags)])
|
python
|
def get_predicate_text(sent_tokens: List[Token], tags: List[str]) -> str:
"""
Get the predicate in this prediction.
"""
return " ".join([sent_tokens[pred_id].text
for pred_id in get_predicate_indices(tags)])
|
[
"def",
"get_predicate_text",
"(",
"sent_tokens",
":",
"List",
"[",
"Token",
"]",
",",
"tags",
":",
"List",
"[",
"str",
"]",
")",
"->",
"str",
":",
"return",
"\" \"",
".",
"join",
"(",
"[",
"sent_tokens",
"[",
"pred_id",
"]",
".",
"text",
"for",
"pred_id",
"in",
"get_predicate_indices",
"(",
"tags",
")",
"]",
")"
] |
Get the predicate in this prediction.
|
[
"Get",
"the",
"predicate",
"in",
"this",
"prediction",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L69-L74
|
train
|
Get the predicate in this prediction.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\060' + '\x36', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(48) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(0b101001 + 0o106) + '\x37' + '\067', 61508 - 61500), ehT0Px3KOsy9('\060' + chr(0b1000011 + 0o54) + '\062' + chr(0b101011 + 0o5) + chr(0b0 + 0o65), 15936 - 15928), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110110) + chr(972 - 919), 40564 - 40556), ehT0Px3KOsy9(chr(1966 - 1918) + chr(0b101110 + 0o101) + chr(51) + chr(53) + '\067', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11111 + 0o24) + '\061' + '\x34', 27763 - 27755), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x30', 22512 - 22504), ehT0Px3KOsy9(chr(48) + chr(0b1010000 + 0o37) + '\x31' + '\x35' + chr(0b1000 + 0o55), 0b1000), ehT0Px3KOsy9(chr(1322 - 1274) + chr(279 - 168) + chr(0b110001) + chr(0b110100) + chr(0b110000 + 0o4), 58665 - 58657), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + '\067', 6574 - 6566), ehT0Px3KOsy9('\060' + '\157' + '\067' + '\x31', 48047 - 48039), ehT0Px3KOsy9('\060' + chr(2859 - 2748) + chr(1572 - 1518) + '\062', ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(51), 0b1000), ehT0Px3KOsy9(chr(969 - 921) + '\x6f' + chr(0b100011 + 0o17) + chr(0b110101) + chr(48), 0o10), ehT0Px3KOsy9(chr(1979 - 1931) + '\x6f' + chr(0b110010) + '\064' + chr(877 - 828), ord("\x08")), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(0b1101111) + '\x32' + chr(2240 - 2188) + chr(0b11100 + 0o30), 0o10), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(1223 - 1172) + chr(55) + '\x35', 0o10), ehT0Px3KOsy9(chr(1885 - 1837) + chr(0b11110 + 0o121) + chr(1075 - 1026) + chr(51) + '\x35', 6396 - 6388), ehT0Px3KOsy9('\060' + chr(0b0 + 0o157) + chr(51) + '\066' + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(8592 - 8481) + '\061' + chr(0b110010) + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(49) + chr(52) + chr(862 - 812), 19298 - 19290), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(49) + chr(0b110001) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(1139 - 1090) + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + chr(5437 - 5326) + chr(54) + chr(1905 - 1853), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x33' + chr(53) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110100) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + '\157' + chr(0b110001) + '\066' + '\062', 10880 - 10872), ehT0Px3KOsy9(chr(0b11100 + 0o24) + '\x6f' + '\062' + '\x35' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100 + 0o153) + '\061' + chr(0b110011) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x32' + chr(0b10000 + 0o41) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b100001 + 0o17) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b10100 + 0o37) + '\064', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1 + 0o61) + chr(0b11011 + 0o34) + '\060', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(48) + '\x31', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1010 + 0o54) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101110 + 0o5) + '\x32' + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(2352 - 2241) + chr(0b110110) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(11927 - 11816) + chr(0b110010) + chr(0b110010) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x31' + chr(51), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(2040 - 1992) + chr(5388 - 5277) + chr(1523 - 1470) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), chr(299 - 199) + chr(0b1100101) + '\x63' + chr(0b1101111) + chr(0b1011011 + 0o11) + chr(0b1100101))(chr(117) + '\164' + chr(7421 - 7319) + '\055' + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def dgaiaNLTAxcK(FuBSioIoPNEt, MRGa81KE7QCh) -> M8_cKLkHVB2V:
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa6'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(116) + chr(6561 - 6459) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd9\xefh\xddO\x9b\x9aV\x03\x15\x7f\x7f'), chr(100) + '\x65' + '\143' + '\157' + chr(5229 - 5129) + '\145')('\165' + chr(7619 - 7503) + '\146' + chr(0b1000 + 0o45) + chr(0b111000)))([xafqLlk3kkUe(FuBSioIoPNEt[AlKVseSWX2_u], xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7\xe8\x0e\xf7|\x81\xba\x7fY\\\x7f['), chr(0b1110 + 0o126) + chr(0b1100101) + chr(3510 - 3411) + chr(111) + chr(8667 - 8567) + '\145')('\165' + chr(0b1110100 + 0o0) + chr(102) + chr(0b101101) + '\x38')) for AlKVseSWX2_u in rBG1PL7nWkEi(MRGa81KE7QCh)])
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
predicates_overlap
|
def predicates_overlap(tags1: List[str], tags2: List[str]) -> bool:
"""
Tests whether the predicate in BIO tags1 overlap
with those of tags2.
"""
# Get predicate word indices from both predictions
pred_ind1 = get_predicate_indices(tags1)
pred_ind2 = get_predicate_indices(tags2)
# Return if pred_ind1 pred_ind2 overlap
return any(set.intersection(set(pred_ind1), set(pred_ind2)))
|
python
|
def predicates_overlap(tags1: List[str], tags2: List[str]) -> bool:
"""
Tests whether the predicate in BIO tags1 overlap
with those of tags2.
"""
# Get predicate word indices from both predictions
pred_ind1 = get_predicate_indices(tags1)
pred_ind2 = get_predicate_indices(tags2)
# Return if pred_ind1 pred_ind2 overlap
return any(set.intersection(set(pred_ind1), set(pred_ind2)))
|
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"pred_ind2",
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"get_predicate_indices",
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] |
Tests whether the predicate in BIO tags1 overlap
with those of tags2.
|
[
"Tests",
"whether",
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"predicate",
"in",
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"tags1",
"overlap",
"with",
"those",
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"tags2",
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L76-L86
|
train
|
Tests whether the predicate in BIO tags1 overlap with those of tags2.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100001 + 0o20) + chr(49), 0o10), ehT0Px3KOsy9('\060' + chr(12321 - 12210) + chr(55) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\x6f' + chr(281 - 232) + '\064' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b0 + 0o62) + chr(52), 20146 - 20138), ehT0Px3KOsy9(chr(0b11010 + 0o26) + '\157' + '\x31' + '\x35' + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(10213 - 10102) + '\x31' + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2083 - 1972) + '\061' + '\x35' + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1503 - 1455) + chr(111) + chr(0b10010 + 0o41) + chr(0b11011 + 0o26) + chr(0b110010), 4842 - 4834), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110010) + '\x32' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1110 + 0o141) + chr(49) + '\061' + chr(0b10011 + 0o40), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\065' + chr(0b11001 + 0o32), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + '\063' + chr(580 - 532), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(778 - 728) + chr(0b110101 + 0o0) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2120 - 2071) + chr(2684 - 2631), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + '\062' + chr(0b110001) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + '\x6f' + chr(0b110010) + chr(1701 - 1651) + chr(0b110011), 8), ehT0Px3KOsy9(chr(83 - 35) + '\157' + '\x33' + chr(50) + chr(52), 17307 - 17299), ehT0Px3KOsy9('\060' + chr(0b1010110 + 0o31) + chr(0b101001 + 0o10) + '\067' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(0b11001 + 0o31) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(1777 - 1729) + '\157' + chr(53) + chr(0b101111 + 0o5), 0o10), ehT0Px3KOsy9('\x30' + chr(3771 - 3660) + '\x31' + chr(51) + chr(0b100 + 0o61), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b111 + 0o52) + chr(1016 - 961), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + '\065' + chr(0b1001 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(49) + '\060' + chr(0b110010), 44386 - 44378), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(54) + '\x35', 22307 - 22299), ehT0Px3KOsy9(chr(0b110000) + chr(0b100101 + 0o112) + chr(52) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(51) + chr(53), 63210 - 63202), ehT0Px3KOsy9(chr(1492 - 1444) + chr(8829 - 8718) + chr(0b11001 + 0o33) + chr(53), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\063' + '\x33' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(0b110100), 11748 - 11740), ehT0Px3KOsy9(chr(48) + chr(5534 - 5423) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + chr(51) + '\x34' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(911 - 863) + chr(0b100 + 0o153) + chr(52) + chr(52), 0o10), ehT0Px3KOsy9(chr(48) + chr(8221 - 8110) + chr(0b110001) + chr(0b101101 + 0o6) + chr(740 - 687), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(219 - 168) + '\x31' + chr(0b11101 + 0o24), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b111 + 0o54) + chr(0b110 + 0o61) + chr(0b1110 + 0o50), 47398 - 47390), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + '\x36', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110101) + '\060', 3420 - 3412)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b"'"), '\x64' + '\145' + chr(0b1100011) + chr(9178 - 9067) + chr(2221 - 2121) + chr(0b1100101))(chr(0b101110 + 0o107) + '\x74' + '\146' + '\x2d' + chr(0b100010 + 0o26)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def CdfgOW0go97X(V7dB20ZqsvLz, bcPA4dqLTCpp) -> WbBjf8Y7v9VN:
CCar1JcYLRpG = rBG1PL7nWkEi(V7dB20ZqsvLz)
usIxmMcvW0S1 = rBG1PL7nWkEi(bcPA4dqLTCpp)
return UVSi4XW7eBIM(xafqLlk3kkUe(MVEN8G6CxlvR, xafqLlk3kkUe(SXOLrMavuUCe(b'`Q\x16q\x18\x1a\t\xa9\xe7"Dn'), '\144' + chr(1125 - 1024) + chr(99) + '\x6f' + chr(1601 - 1501) + '\x65')('\165' + chr(0b0 + 0o164) + chr(102) + chr(47 - 2) + chr(0b111000)))(MVEN8G6CxlvR(CCar1JcYLRpG), MVEN8G6CxlvR(usIxmMcvW0S1)))
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
get_coherent_next_tag
|
def get_coherent_next_tag(prev_label: str, cur_label: str) -> str:
"""
Generate a coherent tag, given previous tag and current label.
"""
if cur_label == "O":
# Don't need to add prefix to an "O" label
return "O"
if prev_label == cur_label:
return f"I-{cur_label}"
else:
return f"B-{cur_label}"
|
python
|
def get_coherent_next_tag(prev_label: str, cur_label: str) -> str:
"""
Generate a coherent tag, given previous tag and current label.
"""
if cur_label == "O":
# Don't need to add prefix to an "O" label
return "O"
if prev_label == cur_label:
return f"I-{cur_label}"
else:
return f"B-{cur_label}"
|
[
"def",
"get_coherent_next_tag",
"(",
"prev_label",
":",
"str",
",",
"cur_label",
":",
"str",
")",
"->",
"str",
":",
"if",
"cur_label",
"==",
"\"O\"",
":",
"# Don't need to add prefix to an \"O\" label",
"return",
"\"O\"",
"if",
"prev_label",
"==",
"cur_label",
":",
"return",
"f\"I-{cur_label}\"",
"else",
":",
"return",
"f\"B-{cur_label}\""
] |
Generate a coherent tag, given previous tag and current label.
|
[
"Generate",
"a",
"coherent",
"tag",
"given",
"previous",
"tag",
"and",
"current",
"label",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L88-L99
|
train
|
Generate a coherent next tag given previous and current label.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + '\x36' + chr(0b110010), 11067 - 11059), ehT0Px3KOsy9(chr(1061 - 1013) + chr(111) + chr(1294 - 1245) + chr(1694 - 1643) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1001 + 0o146) + '\x31' + chr(0b10 + 0o56) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1000 + 0o52) + chr(48) + chr(0b101000 + 0o16), 6622 - 6614), ehT0Px3KOsy9(chr(1485 - 1437) + chr(10714 - 10603) + chr(0b110110) + '\x34', 1750 - 1742), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(111) + chr(51) + chr(0b100000 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b11111 + 0o21) + '\157' + chr(55) + chr(1388 - 1337), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1515 - 1465) + '\x31' + chr(48), 0o10), ehT0Px3KOsy9(chr(2141 - 2093) + chr(3375 - 3264) + chr(0b110011) + chr(224 - 174), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b111 + 0o53) + chr(55) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(51) + chr(0b110010) + chr(0b100100 + 0o14), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\061' + chr(0b1111 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11717 - 11606) + chr(0b101101 + 0o5) + '\x32' + '\x36', 0o10), ehT0Px3KOsy9(chr(106 - 58) + '\157' + '\061' + chr(0b110000) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1010001 + 0o36) + chr(50) + chr(0b1100 + 0o53) + chr(0b11000 + 0o30), 0b1000), ehT0Px3KOsy9(chr(1839 - 1791) + '\157' + chr(175 - 120) + '\063', 8), ehT0Px3KOsy9(chr(2139 - 2091) + chr(111) + chr(0b110010) + chr(49), 49292 - 49284), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\065' + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\064' + chr(89 - 38), 56039 - 56031), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111) + chr(0b101011 + 0o6), 57287 - 57279), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2382 - 2333) + '\066' + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10010 + 0o41) + '\067' + '\x37', 21513 - 21505), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(49) + '\060' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(8684 - 8573) + chr(0b110011) + chr(0b100010 + 0o25) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + '\063' + chr(1087 - 1035) + chr(51), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(983 - 935) + chr(1496 - 1442), 8), ehT0Px3KOsy9(chr(1247 - 1199) + chr(0b1101111) + '\062' + chr(0b11100 + 0o31) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(1392 - 1342) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b10100 + 0o34) + '\157' + '\x31' + chr(0b100100 + 0o23) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(4353 - 4242) + '\061' + chr(0b110001 + 0o1) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b1001 + 0o52) + chr(51), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(620 - 572) + chr(5946 - 5835) + chr(0b1 + 0o65) + '\x35', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(53) + '\x35', 0o10), ehT0Px3KOsy9(chr(1376 - 1328) + '\x6f' + chr(0b10100 + 0o35) + chr(0b10 + 0o63) + chr(0b110 + 0o61), 14019 - 14011), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(0b100111 + 0o20) + chr(2284 - 2230), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + chr(0b11000 + 0o33) + chr(2300 - 2247), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(53) + chr(378 - 330), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\\'), chr(0b1100100) + chr(101) + chr(99) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b111000 + 0o74) + chr(0b1100110) + chr(0b101101) + chr(0b1101 + 0o53)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def p98kFRG099nw(h6RmauJEiVZy, l3f81AwY8LPR) -> M8_cKLkHVB2V:
if l3f81AwY8LPR == xafqLlk3kkUe(SXOLrMavuUCe(b'='), chr(0b1100100) + chr(0b1100101) + chr(99) + chr(0b1010 + 0o145) + chr(100) + '\x65')(chr(0b1010010 + 0o43) + chr(11301 - 11185) + '\146' + chr(0b10001 + 0o34) + chr(0b0 + 0o70)):
return xafqLlk3kkUe(SXOLrMavuUCe(b'='), '\x64' + chr(0b1001001 + 0o34) + chr(0b1100011) + chr(0b1011 + 0o144) + chr(7569 - 7469) + chr(8380 - 8279))(chr(0b1110101) + chr(0b100110 + 0o116) + '\x66' + '\x2d' + chr(56))
if h6RmauJEiVZy == l3f81AwY8LPR:
return f'I-{l3f81AwY8LPR}'
else:
return f'B-{l3f81AwY8LPR}'
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
merge_overlapping_predictions
|
def merge_overlapping_predictions(tags1: List[str], tags2: List[str]) -> List[str]:
"""
Merge two predictions into one. Assumes the predicate in tags1 overlap with
the predicate of tags2.
"""
ret_sequence = []
prev_label = "O"
# Build a coherent sequence out of two
# spans which predicates' overlap
for tag1, tag2 in zip(tags1, tags2):
label1 = tag1.split("-")[-1]
label2 = tag2.split("-")[-1]
if (label1 == "V") or (label2 == "V"):
# Construct maximal predicate length -
# add predicate tag if any of the sequence predict it
cur_label = "V"
# Else - prefer an argument over 'O' label
elif label1 != "O":
cur_label = label1
else:
cur_label = label2
# Append cur tag to the returned sequence
cur_tag = get_coherent_next_tag(prev_label, cur_label)
prev_label = cur_label
ret_sequence.append(cur_tag)
return ret_sequence
|
python
|
def merge_overlapping_predictions(tags1: List[str], tags2: List[str]) -> List[str]:
"""
Merge two predictions into one. Assumes the predicate in tags1 overlap with
the predicate of tags2.
"""
ret_sequence = []
prev_label = "O"
# Build a coherent sequence out of two
# spans which predicates' overlap
for tag1, tag2 in zip(tags1, tags2):
label1 = tag1.split("-")[-1]
label2 = tag2.split("-")[-1]
if (label1 == "V") or (label2 == "V"):
# Construct maximal predicate length -
# add predicate tag if any of the sequence predict it
cur_label = "V"
# Else - prefer an argument over 'O' label
elif label1 != "O":
cur_label = label1
else:
cur_label = label2
# Append cur tag to the returned sequence
cur_tag = get_coherent_next_tag(prev_label, cur_label)
prev_label = cur_label
ret_sequence.append(cur_tag)
return ret_sequence
|
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] |
Merge two predictions into one. Assumes the predicate in tags1 overlap with
the predicate of tags2.
|
[
"Merge",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L101-L130
|
train
|
Merge two predictions into one. Assumes the predicate in tags1 overlap with tags2.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1888 - 1840) + '\157' + chr(989 - 940) + chr(224 - 172), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(381 - 270) + chr(50) + '\x33', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + '\065' + chr(478 - 424), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\065' + chr(1101 - 1052), 0b1000), ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(6595 - 6484) + chr(0b110001) + chr(0b10111 + 0o37) + '\061', 0o10), ehT0Px3KOsy9('\060' + chr(0b1010001 + 0o36) + chr(49) + chr(0b1010 + 0o50) + chr(825 - 776), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b101 + 0o152) + '\x32' + chr(50) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100111 + 0o13) + '\x37' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(242 - 188) + chr(0b11000 + 0o33), 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b1001 + 0o50) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(1816 - 1768) + '\157' + chr(0b10110 + 0o33) + chr(0b110001), 3114 - 3106), ehT0Px3KOsy9(chr(0b1111 + 0o41) + chr(0b111001 + 0o66) + '\062' + chr(55) + chr(1463 - 1412), 4935 - 4927), ehT0Px3KOsy9('\060' + chr(378 - 267) + chr(51) + '\x34' + chr(54), 26002 - 25994), ehT0Px3KOsy9(chr(1950 - 1902) + chr(0b1101111) + chr(50) + chr(0b100 + 0o55) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111 + 0o0) + chr(53) + chr(0b11011 + 0o25), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(0b1100 + 0o51) + chr(0b10010 + 0o41), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100011 + 0o17) + chr(0b110000) + chr(130 - 79), 29549 - 29541), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10010 + 0o37) + chr(527 - 478) + chr(0b10101 + 0o41), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\061' + chr(0b110110) + chr(0b110101 + 0o0), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110110) + '\x32', 30093 - 30085), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + chr(0b10011 + 0o40) + chr(51) + chr(228 - 173), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b1100 + 0o44) + '\065', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(407 - 357) + chr(0b110111) + chr(0b110110), 8), ehT0Px3KOsy9('\060' + '\157' + chr(55) + '\x37', 0b1000), ehT0Px3KOsy9(chr(882 - 834) + chr(0b1101111) + chr(1867 - 1816) + chr(1511 - 1459) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1633 - 1583) + chr(55) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(0b110001) + chr(0b110010) + '\x35', 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(111) + chr(0b100000 + 0o22) + '\x36' + chr(327 - 275), ord("\x08")), ehT0Px3KOsy9(chr(0b1001 + 0o47) + '\x6f' + chr(1621 - 1571) + '\x31' + '\063', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b100001 + 0o116) + '\063' + chr(0b110000) + '\x33', 17697 - 17689), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1181 - 1131) + '\x30' + chr(730 - 675), 0o10), ehT0Px3KOsy9(chr(48) + chr(1089 - 978) + chr(0b110010) + chr(1001 - 951) + chr(2798 - 2745), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + '\067' + '\x32', 51961 - 51953), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + chr(1008 - 956) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110011) + chr(0b10 + 0o63) + chr(474 - 423), 8), ehT0Px3KOsy9(chr(752 - 704) + chr(111) + chr(0b110010) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(2112 - 2064) + chr(690 - 579) + '\x31' + '\x35' + '\x34', 0o10), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\062' + chr(0b100001 + 0o21) + '\062', 0o10), ehT0Px3KOsy9(chr(210 - 162) + '\157' + '\061' + '\067' + chr(0b100 + 0o57), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(908 - 860) + chr(0b1101111) + '\x35' + '\060', 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), '\x64' + chr(101) + chr(0b1000011 + 0o40) + chr(10293 - 10182) + chr(3247 - 3147) + '\145')('\165' + chr(0b11000 + 0o134) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def HLsuNVh05I21(V7dB20ZqsvLz, bcPA4dqLTCpp) -> qRxF7OQ0y39T[M8_cKLkHVB2V]:
ZuCqM0HVnVS_ = []
h6RmauJEiVZy = xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(100) + chr(0b110010 + 0o63) + '\143' + chr(1077 - 966) + '\x64' + chr(0b111 + 0o136))(chr(0b100001 + 0o124) + chr(116) + '\x66' + chr(0b1111 + 0o36) + chr(56))
for (vN2bzMVhFyAH, wZOaDpHVrpCq) in pZ0NK2y6HRbn(V7dB20ZqsvLz, bcPA4dqLTCpp):
uuZ9wskB1e44 = vN2bzMVhFyAH.split(xafqLlk3kkUe(SXOLrMavuUCe(b'!'), chr(0b1001111 + 0o25) + '\x65' + '\143' + chr(10157 - 10046) + '\144' + chr(0b100101 + 0o100))(chr(0b100 + 0o161) + chr(0b1000010 + 0o62) + chr(0b111 + 0o137) + '\055' + '\070'))[-ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b1010 + 0o47), 8)]
YhwOdeKRvXtZ = wZOaDpHVrpCq.split(xafqLlk3kkUe(SXOLrMavuUCe(b'!'), '\144' + '\x65' + chr(99) + '\157' + '\x64' + chr(0b111100 + 0o51))(chr(0b1110101) + chr(0b1110100) + chr(5047 - 4945) + '\055' + chr(56)))[-ehT0Px3KOsy9('\x30' + '\x6f' + '\x31', 8)]
if uuZ9wskB1e44 == xafqLlk3kkUe(SXOLrMavuUCe(b'Z'), chr(0b1 + 0o143) + '\145' + chr(4990 - 4891) + '\x6f' + chr(100) + '\145')('\165' + '\x74' + '\146' + chr(0b101101) + '\x38') or YhwOdeKRvXtZ == xafqLlk3kkUe(SXOLrMavuUCe(b'Z'), chr(100) + chr(0b1100101) + chr(0b1010100 + 0o17) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + '\164' + chr(443 - 341) + '\055' + chr(2306 - 2250)):
l3f81AwY8LPR = xafqLlk3kkUe(SXOLrMavuUCe(b'Z'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + chr(6894 - 6794) + '\145')('\x75' + chr(10728 - 10612) + chr(0b1100001 + 0o5) + '\055' + chr(56))
elif uuZ9wskB1e44 != xafqLlk3kkUe(SXOLrMavuUCe(b'C'), '\144' + chr(101) + '\x63' + '\x6f' + '\144' + '\x65')(chr(117) + chr(0b1011110 + 0o26) + '\x66' + '\055' + chr(56)):
l3f81AwY8LPR = uuZ9wskB1e44
else:
l3f81AwY8LPR = YhwOdeKRvXtZ
hANvTXdfFLBO = p98kFRG099nw(h6RmauJEiVZy, l3f81AwY8LPR)
h6RmauJEiVZy = l3f81AwY8LPR
xafqLlk3kkUe(ZuCqM0HVnVS_, xafqLlk3kkUe(SXOLrMavuUCe(b'mc\x1e\xcc\x1f5'), chr(8633 - 8533) + chr(7643 - 7542) + chr(3183 - 3084) + chr(0b101111 + 0o100) + chr(6898 - 6798) + chr(0b1100101))('\165' + chr(0b1110100) + chr(102) + chr(0b101101) + chr(0b111000)))(hANvTXdfFLBO)
return ZuCqM0HVnVS_
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
consolidate_predictions
|
def consolidate_predictions(outputs: List[List[str]], sent_tokens: List[Token]) -> Dict[str, List[str]]:
"""
Identify that certain predicates are part of a multiword predicate
(e.g., "decided to run") in which case, we don't need to return
the embedded predicate ("run").
"""
pred_dict: Dict[str, List[str]] = {}
merged_outputs = [join_mwp(output) for output in outputs]
predicate_texts = [get_predicate_text(sent_tokens, tags)
for tags in merged_outputs]
for pred1_text, tags1 in zip(predicate_texts, merged_outputs):
# A flag indicating whether to add tags1 to predictions
add_to_prediction = True
# Check if this predicate overlaps another predicate
for pred2_text, tags2 in pred_dict.items():
if predicates_overlap(tags1, tags2):
# tags1 overlaps tags2
pred_dict[pred2_text] = merge_overlapping_predictions(tags1, tags2)
add_to_prediction = False
# This predicate doesn't overlap - add as a new predicate
if add_to_prediction:
pred_dict[pred1_text] = tags1
return pred_dict
|
python
|
def consolidate_predictions(outputs: List[List[str]], sent_tokens: List[Token]) -> Dict[str, List[str]]:
"""
Identify that certain predicates are part of a multiword predicate
(e.g., "decided to run") in which case, we don't need to return
the embedded predicate ("run").
"""
pred_dict: Dict[str, List[str]] = {}
merged_outputs = [join_mwp(output) for output in outputs]
predicate_texts = [get_predicate_text(sent_tokens, tags)
for tags in merged_outputs]
for pred1_text, tags1 in zip(predicate_texts, merged_outputs):
# A flag indicating whether to add tags1 to predictions
add_to_prediction = True
# Check if this predicate overlaps another predicate
for pred2_text, tags2 in pred_dict.items():
if predicates_overlap(tags1, tags2):
# tags1 overlaps tags2
pred_dict[pred2_text] = merge_overlapping_predictions(tags1, tags2)
add_to_prediction = False
# This predicate doesn't overlap - add as a new predicate
if add_to_prediction:
pred_dict[pred1_text] = tags1
return pred_dict
|
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] |
Identify that certain predicates are part of a multiword predicate
(e.g., "decided to run") in which case, we don't need to return
the embedded predicate ("run").
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L132-L158
|
train
|
Combine the prediction and predictions into one single - word predicate.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(111) + chr(0b110010 + 0o1) + chr(1990 - 1939) + chr(54), 59798 - 59790), ehT0Px3KOsy9('\060' + chr(11646 - 11535) + '\x33' + '\x31' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + chr(0b110011) + '\x32', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b111 + 0o150) + chr(0b10000 + 0o43) + chr(809 - 754), 8914 - 8906), ehT0Px3KOsy9('\060' + chr(680 - 569) + chr(0b100010 + 0o24) + chr(0b110110), 53437 - 53429), ehT0Px3KOsy9('\060' + chr(0b1011101 + 0o22) + '\x32' + chr(1916 - 1868), ord("\x08")), ehT0Px3KOsy9(chr(2028 - 1980) + chr(0b1101111) + chr(0b1 + 0o62) + '\x34' + chr(592 - 541), 0b1000), ehT0Px3KOsy9(chr(1639 - 1591) + chr(5537 - 5426) + chr(0b111 + 0o53) + chr(2081 - 2029) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(50) + chr(50) + '\x36', 29788 - 29780), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + '\061' + chr(0b110001) + chr(0b100010 + 0o20), 16165 - 16157), ehT0Px3KOsy9(chr(48) + '\x6f' + '\061' + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b100 + 0o56) + chr(0b110000 + 0o6) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(1830 - 1782) + chr(0b1101110 + 0o1) + chr(0b100111 + 0o13) + chr(0b10011 + 0o37) + chr(0b1010 + 0o46), 48437 - 48429), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111) + chr(0b110011 + 0o0) + chr(0b110111) + chr(0b101111 + 0o10), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b110101 + 0o72) + '\x33' + chr(0b110001) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(375 - 325) + chr(49) + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10 + 0o61) + chr(0b110011) + chr(0b11110 + 0o26), 28672 - 28664), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b10111 + 0o35) + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b111011 + 0o64) + chr(292 - 241) + chr(0b11001 + 0o32) + chr(0b110101 + 0o0), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o47) + '\062' + chr(2775 - 2721), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110001 + 0o76) + chr(49) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(49) + '\x34' + chr(1111 - 1060), 57219 - 57211), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(0b101100 + 0o10) + chr(372 - 322), 0o10), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(111) + '\x32' + chr(0b101010 + 0o14) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(9949 - 9838) + chr(1643 - 1593) + chr(0b110001) + '\060', 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(414 - 363) + '\067' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(2581 - 2529) + chr(170 - 117), ord("\x08")), ehT0Px3KOsy9(chr(1020 - 972) + chr(111) + chr(1913 - 1864) + chr(0b100111 + 0o16) + chr(0b11110 + 0o31), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(11005 - 10894) + '\x32' + '\065' + chr(2525 - 2473), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + chr(0b110001) + chr(53) + '\067', 8), ehT0Px3KOsy9('\060' + chr(111) + chr(1947 - 1897) + '\x30' + '\067', 0o10), ehT0Px3KOsy9(chr(1995 - 1947) + '\x6f' + chr(0b110001 + 0o1) + '\x30' + chr(544 - 492), 6442 - 6434), ehT0Px3KOsy9(chr(1886 - 1838) + '\x6f' + chr(0b11011 + 0o27) + chr(0b100000 + 0o20), 8), ehT0Px3KOsy9('\060' + chr(0b1000101 + 0o52) + '\061' + '\x33' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110010) + chr(0b110010) + '\x31', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2421 - 2370) + chr(1169 - 1114) + chr(2173 - 2121), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1115 - 1065) + chr(53) + chr(512 - 460), 8), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(49) + chr(0b110100), 2858 - 2850), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(0b100 + 0o153) + '\063' + '\064' + '\060', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53) + '\x30', 60303 - 60295)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf0'), chr(8431 - 8331) + '\145' + '\143' + chr(6219 - 6108) + chr(0b1100100) + chr(0b1100101))(chr(0b1101 + 0o150) + chr(0b1110100) + chr(3375 - 3273) + chr(2005 - 1960) + chr(1866 - 1810)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def AsQFbKYQ5pWt(Dx_DllZ8uCko, FuBSioIoPNEt) -> zBnV56fc6HrA[M8_cKLkHVB2V, qRxF7OQ0y39T[M8_cKLkHVB2V]]:
mWnOtAkZJlXi = {}
v5jllrzAna55 = [sXlBzcYRrl2U(e1jVqMSBZ01Y) for e1jVqMSBZ01Y in Dx_DllZ8uCko]
_MFWiq956hE1 = [dgaiaNLTAxcK(FuBSioIoPNEt, MRGa81KE7QCh) for MRGa81KE7QCh in v5jllrzAna55]
for (_1cIhPx0kSaq, V7dB20ZqsvLz) in pZ0NK2y6HRbn(_MFWiq956hE1, v5jllrzAna55):
AmYip_l1478N = ehT0Px3KOsy9('\x30' + chr(111) + '\x31', 0o10)
for (GiJxNcaqTUpT, bcPA4dqLTCpp) in xafqLlk3kkUe(mWnOtAkZJlXi, xafqLlk3kkUe(SXOLrMavuUCe(b'\x90\xb6\xacz\x7fJ\xd0\xe8\xfa\x19@\x8a'), chr(4741 - 4641) + chr(101) + '\x63' + '\x6f' + '\x64' + '\x65')('\x75' + chr(8819 - 8703) + chr(102) + '\x2d' + '\070'))():
if CdfgOW0go97X(V7dB20ZqsvLz, bcPA4dqLTCpp):
mWnOtAkZJlXi[GiJxNcaqTUpT] = HLsuNVh05I21(V7dB20ZqsvLz, bcPA4dqLTCpp)
AmYip_l1478N = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10010 + 0o36), 0o10)
if AmYip_l1478N:
mWnOtAkZJlXi[_1cIhPx0kSaq] = V7dB20ZqsvLz
return mWnOtAkZJlXi
|
allenai/allennlp
|
allennlp/predictors/open_information_extraction.py
|
sanitize_label
|
def sanitize_label(label: str) -> str:
"""
Sanitize a BIO label - this deals with OIE
labels sometimes having some noise, as parentheses.
"""
if "-" in label:
prefix, suffix = label.split("-")
suffix = suffix.split("(")[-1]
return f"{prefix}-{suffix}"
else:
return label
|
python
|
def sanitize_label(label: str) -> str:
"""
Sanitize a BIO label - this deals with OIE
labels sometimes having some noise, as parentheses.
"""
if "-" in label:
prefix, suffix = label.split("-")
suffix = suffix.split("(")[-1]
return f"{prefix}-{suffix}"
else:
return label
|
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"sanitize_label",
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"label",
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"str",
")",
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"str",
":",
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"\"-\"",
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":",
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",",
"suffix",
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"label",
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"\"(\"",
")",
"[",
"-",
"1",
"]",
"return",
"f\"{prefix}-{suffix}\"",
"else",
":",
"return",
"label"
] |
Sanitize a BIO label - this deals with OIE
labels sometimes having some noise, as parentheses.
|
[
"Sanitize",
"a",
"BIO",
"label",
"-",
"this",
"deals",
"with",
"OIE",
"labels",
"sometimes",
"having",
"some",
"noise",
"as",
"parentheses",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/predictors/open_information_extraction.py#L161-L171
|
train
|
Sanitize a BIO label - this deals with OIE
labels sometimes having some noise as parentheses.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b10111 + 0o33) + chr(1712 - 1660) + '\x32', 60311 - 60303), ehT0Px3KOsy9(chr(60 - 12) + '\x6f' + '\x32' + chr(0b110011) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\063' + chr(0b11111 + 0o26) + '\x35', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\063' + chr(1046 - 995), 0o10), ehT0Px3KOsy9('\060' + chr(0b1011110 + 0o21) + chr(0b110010) + chr(2094 - 2040) + '\x34', 51192 - 51184), ehT0Px3KOsy9(chr(0b10111 + 0o31) + '\x6f' + '\063' + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(676 - 625) + '\x36' + '\060', 0o10), ehT0Px3KOsy9('\x30' + chr(6809 - 6698) + '\063' + '\063' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\x30' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(48) + chr(3183 - 3072) + '\x32' + chr(0b11111 + 0o21) + chr(1630 - 1578), 0o10), ehT0Px3KOsy9('\060' + chr(0b11011 + 0o124) + chr(1448 - 1398) + chr(1400 - 1349) + chr(0b100010 + 0o23), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(49) + chr(0b110100) + chr(49), 56604 - 56596), ehT0Px3KOsy9('\x30' + '\157' + '\067' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + '\x32' + '\067', 0b1000), ehT0Px3KOsy9('\x30' + chr(11021 - 10910) + chr(55) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011000 + 0o27) + chr(1636 - 1585) + chr(2974 - 2919) + chr(1493 - 1444), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + '\x35' + chr(1575 - 1524), 0b1000), ehT0Px3KOsy9(chr(1629 - 1581) + '\x6f' + chr(352 - 302) + chr(0b11100 + 0o26) + chr(0b10011 + 0o36), 2471 - 2463), ehT0Px3KOsy9(chr(48) + chr(111) + chr(1485 - 1436) + chr(0b100110 + 0o16) + chr(284 - 231), 41574 - 41566), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\x6f' + chr(50) + '\064' + chr(0b110010), 8), ehT0Px3KOsy9(chr(1713 - 1665) + chr(11544 - 11433) + chr(51) + chr(0b110000) + chr(0b110011), 57903 - 57895), ehT0Px3KOsy9(chr(48) + chr(0b11 + 0o154) + chr(1766 - 1716) + chr(48) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(9350 - 9239) + chr(1144 - 1094) + chr(0b110010) + chr(0b110101), 25106 - 25098), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o31) + chr(52) + '\x31', 8), ehT0Px3KOsy9('\x30' + chr(0b101011 + 0o104) + chr(0b11000 + 0o31) + chr(0b110011) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(973 - 862) + chr(1602 - 1551) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b101011 + 0o104) + chr(0b110101) + chr(1389 - 1334), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11100 + 0o27) + '\x33' + chr(0b1100 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\x33' + chr(49) + chr(0b10110 + 0o34), 0o10), ehT0Px3KOsy9(chr(851 - 803) + chr(0b110111 + 0o70) + chr(51) + chr(0b110010) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10001 + 0o40) + chr(49) + '\064', ord("\x08")), ehT0Px3KOsy9(chr(1327 - 1279) + '\157' + chr(133 - 84) + chr(0b110010) + chr(560 - 509), 43990 - 43982), ehT0Px3KOsy9(chr(48) + chr(0b10001 + 0o136) + chr(50) + '\062' + '\x37', 8), ehT0Px3KOsy9(chr(0b101001 + 0o7) + '\157' + '\062' + '\x30' + chr(1235 - 1187), ord("\x08")), ehT0Px3KOsy9(chr(230 - 182) + chr(0b101010 + 0o105) + chr(2230 - 2179) + chr(0b110011) + chr(0b100010 + 0o17), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + '\060' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(50) + chr(0b110000), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(11382 - 11271) + chr(53) + '\x30', 59124 - 59116)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c'), chr(0b100001 + 0o103) + chr(0b1100101) + '\143' + chr(111) + '\144' + chr(2056 - 1955))('\165' + chr(8825 - 8709) + '\146' + chr(45) + chr(0b11100 + 0o34)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def SK82YJ03ZZ0_(TRUOLFLuD08x) -> M8_cKLkHVB2V:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), '\x64' + chr(101) + '\x63' + chr(0b1101111) + '\x64' + chr(0b1100101))(chr(8025 - 7908) + chr(0b1011111 + 0o25) + chr(0b1100000 + 0o6) + chr(0b101101) + '\x38') in TRUOLFLuD08x:
(K1Ha0XjJTAE7, YhhkyMvxPIjH) = TRUOLFLuD08x.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8f'), chr(100) + chr(0b111001 + 0o54) + '\x63' + '\x6f' + '\144' + '\145')(chr(117) + chr(116) + chr(9179 - 9077) + chr(45) + '\070'))
YhhkyMvxPIjH = YhhkyMvxPIjH.split(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a'), chr(100) + chr(0b110110 + 0o57) + chr(0b1100011) + '\x6f' + chr(0b11000 + 0o114) + '\x65')('\165' + '\x74' + chr(0b11100 + 0o112) + chr(0b100001 + 0o14) + '\070'))[-ehT0Px3KOsy9(chr(924 - 876) + '\x6f' + chr(1693 - 1644), 0o10)]
return f'{K1Ha0XjJTAE7}-{YhhkyMvxPIjH}'
else:
return TRUOLFLuD08x
|
allenai/allennlp
|
allennlp/modules/elmo.py
|
batch_to_ids
|
def batch_to_ids(batch: List[List[str]]) -> torch.Tensor:
"""
Converts a batch of tokenized sentences to a tensor representing the sentences with encoded characters
(len(batch), max sentence length, max word length).
Parameters
----------
batch : ``List[List[str]]``, required
A list of tokenized sentences.
Returns
-------
A tensor of padded character ids.
"""
instances = []
indexer = ELMoTokenCharactersIndexer()
for sentence in batch:
tokens = [Token(token) for token in sentence]
field = TextField(tokens,
{'character_ids': indexer})
instance = Instance({"elmo": field})
instances.append(instance)
dataset = Batch(instances)
vocab = Vocabulary()
dataset.index_instances(vocab)
return dataset.as_tensor_dict()['elmo']['character_ids']
|
python
|
def batch_to_ids(batch: List[List[str]]) -> torch.Tensor:
"""
Converts a batch of tokenized sentences to a tensor representing the sentences with encoded characters
(len(batch), max sentence length, max word length).
Parameters
----------
batch : ``List[List[str]]``, required
A list of tokenized sentences.
Returns
-------
A tensor of padded character ids.
"""
instances = []
indexer = ELMoTokenCharactersIndexer()
for sentence in batch:
tokens = [Token(token) for token in sentence]
field = TextField(tokens,
{'character_ids': indexer})
instance = Instance({"elmo": field})
instances.append(instance)
dataset = Batch(instances)
vocab = Vocabulary()
dataset.index_instances(vocab)
return dataset.as_tensor_dict()['elmo']['character_ids']
|
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Converts a batch of tokenized sentences to a tensor representing the sentences with encoded characters
(len(batch), max sentence length, max word length).
Parameters
----------
batch : ``List[List[str]]``, required
A list of tokenized sentences.
Returns
-------
A tensor of padded character ids.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/elmo.py#L230-L256
|
train
|
Converts a batch of tokenized sentences to a tensor representing the sentences with encoded characters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100111 + 0o20), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + chr(0b11 + 0o57), 32524 - 32516), ehT0Px3KOsy9('\060' + '\157' + chr(1252 - 1201) + chr(51), 10127 - 10119), ehT0Px3KOsy9('\x30' + chr(111) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x31', 61697 - 61689), ehT0Px3KOsy9(chr(718 - 670) + chr(111) + '\062' + chr(1529 - 1481) + '\067', 8779 - 8771), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(148 - 97) + '\061' + chr(48), 47822 - 47814), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\065', 45284 - 45276), ehT0Px3KOsy9('\060' + chr(11484 - 11373) + '\x31' + chr(0b110111) + '\060', 62930 - 62922), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(111) + chr(0b101001 + 0o11) + chr(52) + chr(654 - 602), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(1703 - 1653) + chr(1657 - 1608), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + '\x35' + chr(53), 59382 - 59374), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11110 + 0o24) + chr(0b110110) + chr(1456 - 1407), 0b1000), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + chr(0b110001) + chr(1357 - 1303) + chr(0b100001 + 0o26), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(8948 - 8837) + chr(0b100000 + 0o22) + '\x31' + chr(1556 - 1507), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(262 - 212) + chr(52) + '\x34', 8), ehT0Px3KOsy9('\060' + chr(0b11000 + 0o127) + '\063' + chr(1561 - 1513) + '\064', 34559 - 34551), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + chr(0b110001) + chr(0b101000 + 0o16), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100011 + 0o14) + chr(50) + chr(208 - 157) + chr(0b100011 + 0o16), 24982 - 24974), ehT0Px3KOsy9(chr(288 - 240) + chr(111) + chr(1018 - 968) + chr(0b1011 + 0o47) + chr(425 - 373), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(9751 - 9640) + chr(0b110010) + '\x35' + chr(0b110110), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\062' + chr(0b10010 + 0o37) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(979 - 929), 8), ehT0Px3KOsy9('\060' + chr(0b1000000 + 0o57) + '\x31' + chr(0b110001 + 0o3) + '\061', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(1834 - 1779) + '\061', 0o10), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\157' + chr(2216 - 2166) + chr(2022 - 1969) + chr(2648 - 2595), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110101) + '\060', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(2239 - 2186) + '\066', 44511 - 44503), ehT0Px3KOsy9(chr(1181 - 1133) + chr(10601 - 10490) + chr(1681 - 1632) + '\063' + '\060', 0o10), ehT0Px3KOsy9(chr(0b11101 + 0o23) + chr(0b1101111) + chr(2395 - 2346) + chr(0b110110) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1795 - 1744) + chr(55) + chr(54), 50767 - 50759), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b10011 + 0o37) + chr(339 - 287) + chr(0b100110 + 0o21), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(824 - 773) + '\062' + chr(0b11 + 0o55), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(2163 - 2112) + chr(0b110110) + '\x30', 41706 - 41698), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110101) + chr(50), 0b1000), ehT0Px3KOsy9('\x30' + chr(8838 - 8727) + '\x33' + chr(0b110101) + '\x32', 37126 - 37118), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(0b110011) + '\060', 23961 - 23953), ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + '\x31' + '\064' + chr(1404 - 1352), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2653 - 2542) + chr(2011 - 1960) + '\x37', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b100010 + 0o21) + chr(49) + chr(0b110011), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(416 - 368) + '\x6f' + '\x35' + chr(48), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b')'), chr(3452 - 3352) + chr(101) + chr(99) + chr(0b1101111) + '\144' + '\145')('\165' + '\164' + chr(1317 - 1215) + chr(0b101000 + 0o5) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def KBB0yWyM0_TU(dNwAahu8tvoY) -> xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'Swuq~\xf5'), chr(7210 - 7110) + chr(0b1100011 + 0o2) + chr(0b111000 + 0o53) + chr(0b1101111) + chr(0b1011000 + 0o14) + '\145')('\165' + chr(116) + '\146' + '\x2d' + chr(0b111000))):
RGI3k8bAy4QR = []
BvJfssszZMhp = jKJwqw39g_f8()
for pamQPTGoym5v in dNwAahu8tvoY:
Sz7tXxaCGqJ1 = [umJ2jcr5NLY0(mTy3fac_AqJ5) for mTy3fac_AqJ5 in pamQPTGoym5v]
fEcfxx4smAdS = OnNQjiI53xqc(Sz7tXxaCGqJ1, {xafqLlk3kkUe(SXOLrMavuUCe(b'dzzpp\xe4\xbc`\n\xfb\xb8\x89\xc2'), chr(3129 - 3029) + chr(10105 - 10004) + chr(99) + '\157' + chr(100) + chr(0b1100101))(chr(4020 - 3903) + '\x74' + '\146' + chr(0b101101) + chr(0b10 + 0o66)): BvJfssszZMhp})
SsX6bRqJdu1L = _jFYXBmhzM0H({xafqLlk3kkUe(SXOLrMavuUCe(b'b~vm'), '\x64' + chr(6117 - 6016) + '\143' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(5460 - 5343) + '\x74' + chr(102) + chr(0b101101) + chr(56)): fEcfxx4smAdS})
xafqLlk3kkUe(RGI3k8bAy4QR, xafqLlk3kkUe(SXOLrMavuUCe(b'fbkg\x7f\xe3'), chr(107 - 7) + chr(101) + chr(0b11111 + 0o104) + chr(111) + '\x64' + chr(101))(chr(0b1110101) + '\164' + chr(7813 - 7711) + chr(1215 - 1170) + chr(0b101 + 0o63)))(SsX6bRqJdu1L)
xQt6gV9VfTO3 = w98b4t9mEy7g(RGI3k8bAy4QR)
mSU6gEqYPk2T = IAZQXc71OGTl()
xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b'n|\x7fgi\xd8\xa1k\x0b\xd0\xb0\x83\xd2\x12\xfa'), chr(100) + chr(0b1111 + 0o126) + chr(0b1100011) + chr(0b1000001 + 0o56) + chr(0b111011 + 0o51) + chr(101))('\165' + chr(0b1110100) + '\146' + chr(0b1110 + 0o37) + chr(276 - 220)))(mSU6gEqYPk2T)
return xafqLlk3kkUe(xQt6gV9VfTO3, xafqLlk3kkUe(SXOLrMavuUCe(b'faDvt\xe9\xbbj\n\xfb\xb5\x84\xd2\x03'), chr(100) + '\145' + chr(0b101111 + 0o64) + chr(8518 - 8407) + chr(100) + chr(101))('\x75' + '\164' + chr(0b1100110) + '\x2d' + '\x38'))()[xafqLlk3kkUe(SXOLrMavuUCe(b'b~vm'), chr(0b110100 + 0o60) + chr(0b101000 + 0o75) + chr(0b1100011) + '\x6f' + chr(1390 - 1290) + chr(3823 - 3722))(chr(117) + '\x74' + chr(0b1011011 + 0o13) + chr(0b101101) + '\070')][xafqLlk3kkUe(SXOLrMavuUCe(b'dzzpp\xe4\xbc`\n\xfb\xb8\x89\xc2'), chr(0b101001 + 0o73) + chr(6683 - 6582) + '\143' + '\157' + chr(0b100011 + 0o101) + chr(101))('\165' + chr(116) + chr(102) + '\x2d' + chr(56))]
|
allenai/allennlp
|
allennlp/modules/elmo.py
|
Elmo.forward
|
def forward(self, # pylint: disable=arguments-differ
inputs: torch.Tensor,
word_inputs: torch.Tensor = None) -> Dict[str, Union[torch.Tensor, List[torch.Tensor]]]:
"""
Parameters
----------
inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape
``(batch_size, timesteps)``, which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'elmo_representations'``: ``List[torch.Tensor]``
A ``num_output_representations`` list of ELMo representations for the input sequence.
Each representation is shape ``(batch_size, timesteps, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps)`` long tensor with sequence mask.
"""
# reshape the input if needed
original_shape = inputs.size()
if len(original_shape) > 3:
timesteps, num_characters = original_shape[-2:]
reshaped_inputs = inputs.view(-1, timesteps, num_characters)
else:
reshaped_inputs = inputs
if word_inputs is not None:
original_word_size = word_inputs.size()
if self._has_cached_vocab and len(original_word_size) > 2:
reshaped_word_inputs = word_inputs.view(-1, original_word_size[-1])
elif not self._has_cached_vocab:
logger.warning("Word inputs were passed to ELMo but it does not have a cached vocab.")
reshaped_word_inputs = None
else:
reshaped_word_inputs = word_inputs
else:
reshaped_word_inputs = word_inputs
# run the biLM
bilm_output = self._elmo_lstm(reshaped_inputs, reshaped_word_inputs)
layer_activations = bilm_output['activations']
mask_with_bos_eos = bilm_output['mask']
# compute the elmo representations
representations = []
for i in range(len(self._scalar_mixes)):
scalar_mix = getattr(self, 'scalar_mix_{}'.format(i))
representation_with_bos_eos = scalar_mix(layer_activations, mask_with_bos_eos)
if self._keep_sentence_boundaries:
processed_representation = representation_with_bos_eos
processed_mask = mask_with_bos_eos
else:
representation_without_bos_eos, mask_without_bos_eos = remove_sentence_boundaries(
representation_with_bos_eos, mask_with_bos_eos)
processed_representation = representation_without_bos_eos
processed_mask = mask_without_bos_eos
representations.append(self._dropout(processed_representation))
# reshape if necessary
if word_inputs is not None and len(original_word_size) > 2:
mask = processed_mask.view(original_word_size)
elmo_representations = [representation.view(original_word_size + (-1, ))
for representation in representations]
elif len(original_shape) > 3:
mask = processed_mask.view(original_shape[:-1])
elmo_representations = [representation.view(original_shape[:-1] + (-1, ))
for representation in representations]
else:
mask = processed_mask
elmo_representations = representations
return {'elmo_representations': elmo_representations, 'mask': mask}
|
python
|
def forward(self, # pylint: disable=arguments-differ
inputs: torch.Tensor,
word_inputs: torch.Tensor = None) -> Dict[str, Union[torch.Tensor, List[torch.Tensor]]]:
"""
Parameters
----------
inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape
``(batch_size, timesteps)``, which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'elmo_representations'``: ``List[torch.Tensor]``
A ``num_output_representations`` list of ELMo representations for the input sequence.
Each representation is shape ``(batch_size, timesteps, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps)`` long tensor with sequence mask.
"""
# reshape the input if needed
original_shape = inputs.size()
if len(original_shape) > 3:
timesteps, num_characters = original_shape[-2:]
reshaped_inputs = inputs.view(-1, timesteps, num_characters)
else:
reshaped_inputs = inputs
if word_inputs is not None:
original_word_size = word_inputs.size()
if self._has_cached_vocab and len(original_word_size) > 2:
reshaped_word_inputs = word_inputs.view(-1, original_word_size[-1])
elif not self._has_cached_vocab:
logger.warning("Word inputs were passed to ELMo but it does not have a cached vocab.")
reshaped_word_inputs = None
else:
reshaped_word_inputs = word_inputs
else:
reshaped_word_inputs = word_inputs
# run the biLM
bilm_output = self._elmo_lstm(reshaped_inputs, reshaped_word_inputs)
layer_activations = bilm_output['activations']
mask_with_bos_eos = bilm_output['mask']
# compute the elmo representations
representations = []
for i in range(len(self._scalar_mixes)):
scalar_mix = getattr(self, 'scalar_mix_{}'.format(i))
representation_with_bos_eos = scalar_mix(layer_activations, mask_with_bos_eos)
if self._keep_sentence_boundaries:
processed_representation = representation_with_bos_eos
processed_mask = mask_with_bos_eos
else:
representation_without_bos_eos, mask_without_bos_eos = remove_sentence_boundaries(
representation_with_bos_eos, mask_with_bos_eos)
processed_representation = representation_without_bos_eos
processed_mask = mask_without_bos_eos
representations.append(self._dropout(processed_representation))
# reshape if necessary
if word_inputs is not None and len(original_word_size) > 2:
mask = processed_mask.view(original_word_size)
elmo_representations = [representation.view(original_word_size + (-1, ))
for representation in representations]
elif len(original_shape) > 3:
mask = processed_mask.view(original_shape[:-1])
elmo_representations = [representation.view(original_shape[:-1] + (-1, ))
for representation in representations]
else:
mask = processed_mask
elmo_representations = representations
return {'elmo_representations': elmo_representations, 'mask': mask}
|
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] |
Parameters
----------
inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape
``(batch_size, timesteps)``, which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'elmo_representations'``: ``List[torch.Tensor]``
A ``num_output_representations`` list of ELMo representations for the input sequence.
Each representation is shape ``(batch_size, timesteps, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps)`` long tensor with sequence mask.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/elmo.py#L127-L201
|
train
|
Forward computation of the current batch of characters.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(1682 - 1632) + chr(48) + chr(0b10 + 0o57), 38991 - 38983), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1110 + 0o45) + '\x37' + '\063', 58599 - 58591), ehT0Px3KOsy9(chr(1352 - 1304) + chr(0b1101111) + chr(50) + '\x34' + chr(1669 - 1617), 24243 - 24235), ehT0Px3KOsy9('\x30' + '\157' + '\x33' + chr(54) + '\066', 33209 - 33201), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\x33' + '\066', 0o10), ehT0Px3KOsy9(chr(792 - 744) + '\x6f' + chr(0b110000), ord("\x08")), ehT0Px3KOsy9(chr(975 - 927) + chr(0b1101111) + chr(0b100001 + 0o22) + '\064' + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1278 - 1230) + chr(0b1101111) + chr(0b11001 + 0o32) + chr(0b111 + 0o55) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(55) + '\x33', ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(1364 - 1314) + chr(0b110001) + '\x32', ord("\x08")), ehT0Px3KOsy9('\060' + chr(1484 - 1373) + '\x32' + chr(0b10011 + 0o42) + '\061', 13639 - 13631), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + chr(412 - 362) + chr(1312 - 1259), 2242 - 2234), ehT0Px3KOsy9(chr(48) + chr(0b1011001 + 0o26) + '\x31' + chr(0b10011 + 0o43) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b10011 + 0o36) + chr(1692 - 1643) + chr(1051 - 998), 0b1000), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1010011 + 0o34) + chr(0b110011) + chr(1364 - 1315) + '\065', 17751 - 17743), ehT0Px3KOsy9('\060' + chr(10877 - 10766) + '\x32' + chr(793 - 744) + chr(2787 - 2732), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101101 + 0o4) + chr(456 - 404) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(10106 - 9995) + chr(0b110001) + chr(0b11000 + 0o32) + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10 + 0o155) + '\x31' + chr(899 - 851) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(0b11011 + 0o27), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(477 - 427) + chr(55), 0o10), ehT0Px3KOsy9('\060' + chr(3471 - 3360) + '\x32' + chr(0b110111) + chr(0b1000 + 0o57), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x32' + chr(53) + chr(1522 - 1471), 50864 - 50856), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b11111 + 0o23) + chr(0b110001 + 0o1), 8), ehT0Px3KOsy9('\x30' + chr(0b11100 + 0o123) + '\061' + chr(0b110010) + chr(1726 - 1673), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1110 + 0o43) + '\x30' + '\060', 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b100111 + 0o110) + chr(0b110100) + '\x37', 35217 - 35209), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o24) + chr(0b101100 + 0o10) + '\065', 19299 - 19291), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b11111 + 0o23) + chr(0b110100) + chr(1390 - 1335), 61565 - 61557), ehT0Px3KOsy9('\x30' + chr(111) + '\x32' + '\062' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(1461 - 1410) + '\064' + chr(0b110001), 3330 - 3322), ehT0Px3KOsy9('\060' + '\157' + '\x31' + chr(0b1101 + 0o50) + chr(0b10001 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1011100 + 0o23) + '\x34' + chr(0b100100 + 0o23), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(158 - 109) + chr(0b110100) + chr(54), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(51) + chr(52) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\157' + '\x31' + chr(0b110101) + chr(52), 6211 - 6203), ehT0Px3KOsy9('\x30' + chr(8130 - 8019) + chr(0b110001) + chr(138 - 87) + chr(54), 0o10), ehT0Px3KOsy9(chr(1106 - 1058) + chr(0b100010 + 0o115) + '\x33' + chr(0b101011 + 0o11) + chr(50), 8), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(51) + chr(0b1101 + 0o52), 27191 - 27183), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b101011 + 0o7) + chr(0b110010) + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(7943 - 7832) + '\x35' + chr(0b10110 + 0o32), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xaf'), chr(0b1100100) + chr(0b1100101) + '\x63' + chr(0b1101111) + '\144' + '\x65')(chr(0b101111 + 0o106) + '\x74' + '\x66' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, vXoupepMtCXU, Kk2hh9HVMmzs=None) -> zBnV56fc6HrA[M8_cKLkHVB2V, xS28O63k1eqo[xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x9e\xca\x85\xb1r'), chr(4445 - 4345) + chr(0b100011 + 0o102) + '\x63' + chr(111) + chr(0b10011 + 0o121) + chr(101))(chr(3156 - 3039) + '\x74' + '\x66' + chr(0b101101) + chr(56))), qRxF7OQ0y39T[xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xd5\x9e\xca\x85\xb1r'), chr(0b1100100) + chr(101) + chr(0b1010001 + 0o22) + chr(2959 - 2848) + chr(0b1001100 + 0o30) + chr(101))(chr(0b1110101) + '\x74' + chr(6852 - 6750) + '\055' + chr(0b111000)))]]]:
uoX0EqIBJxTx = vXoupepMtCXU.NLcc3BCJnQka()
if c2A0yzQpDQB3(uoX0EqIBJxTx) > ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(0b1101111) + '\063', 0b1000):
(QNvXCjnvcnON, v7MJqxUGrcMS) = uoX0EqIBJxTx[-ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32', ord("\x08")):]
DcWigYJgx1QE = vXoupepMtCXU.view(-ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(0b110001), 1664 - 1656), QNvXCjnvcnON, v7MJqxUGrcMS)
else:
DcWigYJgx1QE = vXoupepMtCXU
if Kk2hh9HVMmzs is not None:
QB8hq62bSlJn = Kk2hh9HVMmzs.NLcc3BCJnQka()
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x93\xc5\x85\x81c\x81\x85\x13\xef\xcd\xca\x01"\xae\xee\x01'), chr(100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100100) + chr(3723 - 3622))(chr(0b1001110 + 0o47) + '\164' + '\146' + '\055' + '\x38')) and c2A0yzQpDQB3(QB8hq62bSlJn) > ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 8):
tXjqSHCYFCPW = Kk2hh9HVMmzs.view(-ehT0Px3KOsy9('\060' + chr(0b10101 + 0o132) + chr(1696 - 1647), 8), QB8hq62bSlJn[-ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001), 8)])
elif not xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x93\xc5\x85\x81c\x81\x85\x13\xef\xcd\xca\x01"\xae\xee\x01'), chr(100) + '\x65' + chr(99) + '\x6f' + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(0b1100110) + '\x2d' + chr(0b111000))):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf6\x9a\xd6\x98\xb7n\x87'), '\144' + '\145' + chr(99) + '\157' + chr(0b1010011 + 0o21) + chr(101))('\165' + '\164' + '\x66' + '\055' + chr(0b110000 + 0o10)))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xd6\x94\xd6\x92\xfei\x8e\x96\x0e\xfe\xda\xb5\x00(\xbf\xeaC&"a$\xda\xcf2!/\x07\xa0\xeb\xdc\x8eHE\x13\x96L7\x96\xbf\xf6\xee\x9e\xd7\xd6\xb0o\x94\xc6\x13\xeb\xdf\xf0W,\xed\xec\x025+w3\x9f\xdd}6!E\xcb'), '\144' + '\x65' + '\x63' + chr(8678 - 8567) + chr(381 - 281) + chr(101))(chr(117) + chr(116) + '\x66' + '\x2d' + '\070'))
tXjqSHCYFCPW = None
else:
tXjqSHCYFCPW = Kk2hh9HVMmzs
else:
tXjqSHCYFCPW = Kk2hh9HVMmzs
nxnHFrega4Jh = oVre8I6UXc3b._elmo_lstm(DcWigYJgx1QE, tXjqSHCYFCPW)
pFsv81douvkT = nxnHFrega4Jh[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\x98\xd0\x9f\xa8a\x94\x8f\x14\xe4\xda'), chr(8672 - 8572) + '\145' + chr(0b1100011) + chr(0b101100 + 0o103) + chr(100) + chr(0b1100101))(chr(117) + chr(6393 - 6277) + chr(0b1100110) + chr(0b10010 + 0o33) + chr(1299 - 1243))]
dZLQ7q1PiDHZ = nxnHFrega4Jh[xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x9a\xd7\x9d'), chr(0b1100100) + '\145' + chr(476 - 377) + chr(111) + chr(0b11011 + 0o111) + '\145')(chr(117) + chr(116) + chr(102) + '\055' + '\070')]
gokBpl471app = []
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x88\xc7\x97\xb2a\x92\xb9\x16\xe3\xd1\xf0\x04'), '\144' + chr(8170 - 8069) + '\x63' + chr(0b1101111) + chr(100) + chr(8018 - 7917))(chr(0b110101 + 0o100) + chr(0b1110100) + '\x66' + chr(0b101100 + 0o1) + '\070')))):
caV4LhtXnEvw = xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xf2\x98\xc5\x9a\xbfr\xbf\x8b\x12\xf2\xf6\xee\n'), chr(0b1001101 + 0o27) + '\x65' + '\x63' + chr(5663 - 5552) + '\x64' + chr(9561 - 9460))('\165' + '\164' + '\x66' + '\x2d' + chr(0b1101 + 0o53)).V4roHaS3Ppej(WVxHKyX45z_L))
vUGy_HQZkqkJ = caV4LhtXnEvw(pFsv81douvkT, dZLQ7q1PiDHZ)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x90\xc1\x93\xae_\x93\x83\x15\xfe\xcc\xfb\x14(\x92\xed\x0c#-v6\xcd\xc2w&'), chr(9584 - 9484) + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + chr(0b1010100 + 0o21))(chr(0b1001010 + 0o53) + chr(116) + chr(7963 - 7861) + chr(0b101101) + chr(0b111000 + 0o0))):
Z78caFvJhPsF = vUGy_HQZkqkJ
w4HUjRpFKoEh = dZLQ7q1PiDHZ
else:
(jSH_VZHDO5Gp, g50z162N80_N) = ooqEa__WcZPK(vUGy_HQZkqkJ, dZLQ7q1PiDHZ)
Z78caFvJhPsF = jSH_VZHDO5Gp
w4HUjRpFKoEh = g50z162N80_N
xafqLlk3kkUe(gokBpl471app, xafqLlk3kkUe(SXOLrMavuUCe(b'\xe0\x8b\xd4\x93\xb0d'), chr(0b1100100) + chr(0b1001100 + 0o31) + chr(0b1010111 + 0o14) + chr(0b1101111) + chr(0b101010 + 0o72) + chr(0b1100101))(chr(0b1110101) + chr(0b10 + 0o162) + chr(0b1100110) + '\x2d' + '\x38'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xde\x9f\xd6\x99\xaeo\x95\x92'), '\144' + '\145' + chr(0b1100011) + '\157' + '\144' + chr(0b11110 + 0o107))(chr(117) + chr(0b1001101 + 0o47) + chr(0b1100110) + '\055' + chr(56)))(Z78caFvJhPsF))
if Kk2hh9HVMmzs is not None and c2A0yzQpDQB3(QB8hq62bSlJn) > ehT0Px3KOsy9(chr(190 - 142) + chr(111) + chr(1431 - 1381), 8):
Iz1jSgUKZDvt = w4HUjRpFKoEh.view(QB8hq62bSlJn)
brDMukkXhAPl = [aAjhQr3arCd2.view(QB8hq62bSlJn + (-ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\x31', 8),)) for aAjhQr3arCd2 in gokBpl471app]
elif c2A0yzQpDQB3(uoX0EqIBJxTx) > ehT0Px3KOsy9('\x30' + '\157' + '\x33', 8):
Iz1jSgUKZDvt = w4HUjRpFKoEh.view(uoX0EqIBJxTx[:-ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11011 + 0o26), 8)])
brDMukkXhAPl = [aAjhQr3arCd2.view(uoX0EqIBJxTx[:-ehT0Px3KOsy9(chr(1034 - 986) + chr(0b1101111) + chr(1168 - 1119), 8)] + (-ehT0Px3KOsy9(chr(48) + '\157' + '\061', 8),)) for aAjhQr3arCd2 in gokBpl471app]
else:
Iz1jSgUKZDvt = w4HUjRpFKoEh
brDMukkXhAPl = gokBpl471app
return {xafqLlk3kkUe(SXOLrMavuUCe(b'\xe4\x97\xc9\x99\x81r\x85\x96\t\xef\xda\xf0\x199\xac\xfb\n9-a'), chr(8952 - 8852) + chr(0b1100101) + chr(0b101001 + 0o72) + chr(1250 - 1139) + '\144' + chr(1282 - 1181))(chr(0b1110101) + chr(0b1100101 + 0o17) + chr(9702 - 9600) + chr(542 - 497) + chr(2892 - 2836)): brDMukkXhAPl, xafqLlk3kkUe(SXOLrMavuUCe(b'\xec\x9a\xd7\x9d'), chr(959 - 859) + chr(101) + '\143' + '\157' + '\x64' + chr(1862 - 1761))('\165' + chr(0b1110100) + chr(0b1100110) + chr(0b100100 + 0o11) + '\x38'): Iz1jSgUKZDvt}
|
allenai/allennlp
|
allennlp/modules/elmo.py
|
_ElmoCharacterEncoder.forward
|
def forward(self, inputs: torch.Tensor) -> Dict[str, torch.Tensor]: # pylint: disable=arguments-differ
"""
Compute context insensitive token embeddings for ELMo representations.
Parameters
----------
inputs: ``torch.Tensor``
Shape ``(batch_size, sequence_length, 50)`` of character ids representing the
current batch.
Returns
-------
Dict with keys:
``'token_embedding'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2, embedding_dim)`` tensor with context
insensitive token representations.
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2)`` long tensor with sequence mask.
"""
# Add BOS/EOS
mask = ((inputs > 0).long().sum(dim=-1) > 0).long()
character_ids_with_bos_eos, mask_with_bos_eos = add_sentence_boundary_token_ids(
inputs,
mask,
self._beginning_of_sentence_characters,
self._end_of_sentence_characters
)
# the character id embedding
max_chars_per_token = self._options['char_cnn']['max_characters_per_token']
# (batch_size * sequence_length, max_chars_per_token, embed_dim)
character_embedding = torch.nn.functional.embedding(
character_ids_with_bos_eos.view(-1, max_chars_per_token),
self._char_embedding_weights
)
# run convolutions
cnn_options = self._options['char_cnn']
if cnn_options['activation'] == 'tanh':
activation = torch.tanh
elif cnn_options['activation'] == 'relu':
activation = torch.nn.functional.relu
else:
raise ConfigurationError("Unknown activation")
# (batch_size * sequence_length, embed_dim, max_chars_per_token)
character_embedding = torch.transpose(character_embedding, 1, 2)
convs = []
for i in range(len(self._convolutions)):
conv = getattr(self, 'char_conv_{}'.format(i))
convolved = conv(character_embedding)
# (batch_size * sequence_length, n_filters for this width)
convolved, _ = torch.max(convolved, dim=-1)
convolved = activation(convolved)
convs.append(convolved)
# (batch_size * sequence_length, n_filters)
token_embedding = torch.cat(convs, dim=-1)
# apply the highway layers (batch_size * sequence_length, n_filters)
token_embedding = self._highways(token_embedding)
# final projection (batch_size * sequence_length, embedding_dim)
token_embedding = self._projection(token_embedding)
# reshape to (batch_size, sequence_length, embedding_dim)
batch_size, sequence_length, _ = character_ids_with_bos_eos.size()
return {
'mask': mask_with_bos_eos,
'token_embedding': token_embedding.view(batch_size, sequence_length, -1)
}
|
python
|
def forward(self, inputs: torch.Tensor) -> Dict[str, torch.Tensor]: # pylint: disable=arguments-differ
"""
Compute context insensitive token embeddings for ELMo representations.
Parameters
----------
inputs: ``torch.Tensor``
Shape ``(batch_size, sequence_length, 50)`` of character ids representing the
current batch.
Returns
-------
Dict with keys:
``'token_embedding'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2, embedding_dim)`` tensor with context
insensitive token representations.
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2)`` long tensor with sequence mask.
"""
# Add BOS/EOS
mask = ((inputs > 0).long().sum(dim=-1) > 0).long()
character_ids_with_bos_eos, mask_with_bos_eos = add_sentence_boundary_token_ids(
inputs,
mask,
self._beginning_of_sentence_characters,
self._end_of_sentence_characters
)
# the character id embedding
max_chars_per_token = self._options['char_cnn']['max_characters_per_token']
# (batch_size * sequence_length, max_chars_per_token, embed_dim)
character_embedding = torch.nn.functional.embedding(
character_ids_with_bos_eos.view(-1, max_chars_per_token),
self._char_embedding_weights
)
# run convolutions
cnn_options = self._options['char_cnn']
if cnn_options['activation'] == 'tanh':
activation = torch.tanh
elif cnn_options['activation'] == 'relu':
activation = torch.nn.functional.relu
else:
raise ConfigurationError("Unknown activation")
# (batch_size * sequence_length, embed_dim, max_chars_per_token)
character_embedding = torch.transpose(character_embedding, 1, 2)
convs = []
for i in range(len(self._convolutions)):
conv = getattr(self, 'char_conv_{}'.format(i))
convolved = conv(character_embedding)
# (batch_size * sequence_length, n_filters for this width)
convolved, _ = torch.max(convolved, dim=-1)
convolved = activation(convolved)
convs.append(convolved)
# (batch_size * sequence_length, n_filters)
token_embedding = torch.cat(convs, dim=-1)
# apply the highway layers (batch_size * sequence_length, n_filters)
token_embedding = self._highways(token_embedding)
# final projection (batch_size * sequence_length, embedding_dim)
token_embedding = self._projection(token_embedding)
# reshape to (batch_size, sequence_length, embedding_dim)
batch_size, sequence_length, _ = character_ids_with_bos_eos.size()
return {
'mask': mask_with_bos_eos,
'token_embedding': token_embedding.view(batch_size, sequence_length, -1)
}
|
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Compute context insensitive token embeddings for ELMo representations.
Parameters
----------
inputs: ``torch.Tensor``
Shape ``(batch_size, sequence_length, 50)`` of character ids representing the
current batch.
Returns
-------
Dict with keys:
``'token_embedding'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2, embedding_dim)`` tensor with context
insensitive token representations.
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, sequence_length + 2)`` long tensor with sequence mask.
|
[
"Compute",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/elmo.py#L324-L395
|
train
|
Computes the forward pass of the context insensitive token embedding for the current batch of characters.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(111) + '\x33' + chr(53) + chr(0b100100 + 0o15), ord("\x08")), ehT0Px3KOsy9(chr(663 - 615) + '\x6f' + chr(2030 - 1977) + chr(0b110001), 42248 - 42240), ehT0Px3KOsy9(chr(1837 - 1789) + '\157' + chr(0b1000 + 0o52) + '\065' + chr(0b111 + 0o56), 44398 - 44390), ehT0Px3KOsy9(chr(1519 - 1471) + chr(111) + '\062' + chr(49) + chr(2456 - 2406), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b10 + 0o62) + '\x35', 0b1000), ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(0b110110) + chr(0b100100 + 0o16), 0o10), ehT0Px3KOsy9(chr(936 - 888) + chr(0b1101111) + chr(1789 - 1740) + '\x34' + chr(2571 - 2517), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(1126 - 1076) + chr(0b100 + 0o60) + chr(0b1111 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + '\x6f' + chr(0b10 + 0o60) + '\062' + chr(971 - 923), 37685 - 37677), ehT0Px3KOsy9(chr(0b110000) + chr(0b11101 + 0o122) + '\x37' + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x33' + chr(2401 - 2346), 0o10), ehT0Px3KOsy9(chr(48) + chr(6293 - 6182) + chr(50) + '\062' + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + '\x31' + chr(0b110110 + 0o1) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001) + chr(50), 0b1000), ehT0Px3KOsy9(chr(296 - 248) + chr(111) + '\x33' + chr(0b110100) + '\066', 37352 - 37344), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b11100 + 0o27) + '\x33' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(773 - 725) + chr(111) + chr(0b110010) + chr(0b101110 + 0o5) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1950 - 1902) + chr(3347 - 3236) + chr(0b110110) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(2483 - 2372) + chr(0b10111 + 0o37) + chr(2172 - 2121), 36144 - 36136), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(8979 - 8868) + chr(0b10000 + 0o43) + chr(0b0 + 0o61) + chr(0b1011 + 0o51), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(595 - 545), 43635 - 43627), ehT0Px3KOsy9(chr(48) + chr(111) + chr(50) + chr(0b110010 + 0o0) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(417 - 367) + '\x35' + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(731 - 683) + chr(4949 - 4838) + chr(0b10100 + 0o35) + chr(1949 - 1901) + chr(55), 0b1000), ehT0Px3KOsy9('\060' + chr(11654 - 11543) + '\066' + chr(0b100100 + 0o15), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + '\062' + '\066', 0b1000), ehT0Px3KOsy9(chr(48) + chr(5954 - 5843) + '\x33' + chr(52) + '\063', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001100 + 0o43) + chr(0b11100 + 0o25) + chr(0b10111 + 0o36) + '\064', 38399 - 38391), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(48) + chr(0b100001 + 0o23), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + '\x35' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(52) + '\067', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x36' + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(2107 - 2052) + '\061', 1618 - 1610), ehT0Px3KOsy9(chr(1712 - 1664) + chr(111) + chr(0b10100 + 0o36) + chr(49) + chr(0b101010 + 0o6), ord("\x08")), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1100110 + 0o11) + '\x31' + chr(0b110001) + chr(49), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + '\062' + '\x36' + chr(0b100100 + 0o20), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10111 - 10000) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2095 - 2047) + chr(0b1101111) + chr(0b110010) + chr(0b10110 + 0o37) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b100100 + 0o14) + chr(0b1101111) + '\062' + '\x31' + chr(0b110010), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1792 - 1742) + chr(0b110011) + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(675 - 627) + chr(111) + '\x35' + chr(0b11010 + 0o26), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), '\x64' + '\x65' + chr(0b11111 + 0o104) + '\157' + chr(100) + '\x65')('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, vXoupepMtCXU) -> zBnV56fc6HrA[M8_cKLkHVB2V, xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbdL\xc3\xf9\x8a@'), '\x64' + chr(2047 - 1946) + chr(2082 - 1983) + '\157' + '\x64' + '\145')(chr(0b1010000 + 0o45) + chr(0b1110100) + '\x66' + chr(654 - 609) + chr(56)))]:
Iz1jSgUKZDvt = ((vXoupepMtCXU > ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101 + 0o53), 0o10)).long().sum(dim=-ehT0Px3KOsy9(chr(1296 - 1248) + chr(10937 - 10826) + chr(49), 8353 - 8345)) > ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)).long()
(nxz13KdxmJ5X, dZLQ7q1PiDHZ) = lgDVfzWIwOn1(vXoupepMtCXU, Iz1jSgUKZDvt, oVre8I6UXc3b._beginning_of_sentence_characters, oVre8I6UXc3b._end_of_sentence_characters)
DwiUH_bmMer1 = oVre8I6UXc3b.snfyDsaD3Jzk[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8aA\xcc\xf8\xbaQ\x08\xc8'), chr(5586 - 5486) + chr(0b1100101) + '\143' + chr(0b100010 + 0o115) + '\144' + chr(4495 - 4394))(chr(0b1110101) + chr(353 - 237) + chr(0b1001010 + 0o34) + chr(0b11010 + 0o23) + chr(2264 - 2208))][xafqLlk3kkUe(SXOLrMavuUCe(b'\x84H\xd5\xd5\x86Z\x07\xd4\xf1Xk\xf5\x0fy\xb9\xae\xfcEl\xb8m\xfc\xcb)'), '\144' + chr(101) + chr(99) + '\157' + chr(0b111001 + 0o53) + chr(101))(chr(0b1010010 + 0o43) + '\164' + '\x66' + chr(0b10011 + 0o32) + '\070')]
acf3U3erPXbI = cEkFpYktkSeK.nn.functional.embedding(nxz13KdxmJ5X.view(-ehT0Px3KOsy9(chr(1051 - 1003) + chr(0b1101111) + '\x31', 8), DwiUH_bmMer1), oVre8I6UXc3b._char_embedding_weights)
g0brDWZB58q5 = oVre8I6UXc3b.snfyDsaD3Jzk[xafqLlk3kkUe(SXOLrMavuUCe(b'\x8aA\xcc\xf8\xbaQ\x08\xc8'), chr(0b1101 + 0o127) + chr(0b1010010 + 0o23) + '\x63' + chr(11232 - 11121) + chr(100) + chr(4027 - 3926))('\165' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000))]
if g0brDWZB58q5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x88J\xd9\xe3\x93S\x12\xcf\xffU'), chr(8014 - 7914) + '\145' + '\143' + chr(111) + '\x64' + chr(0b1100101))('\165' + '\164' + chr(0b1100110) + chr(0b100001 + 0o14) + '\070')] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dH\xc3\xe2'), chr(7340 - 7240) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(0b110110 + 0o56) + chr(0b1000011 + 0o42))(chr(0b101001 + 0o114) + chr(0b1101110 + 0o6) + '\x66' + chr(931 - 886) + '\x38'):
_GyOifGFZyk1 = cEkFpYktkSeK.tanh
elif g0brDWZB58q5[xafqLlk3kkUe(SXOLrMavuUCe(b'\x88J\xd9\xe3\x93S\x12\xcf\xffU'), chr(0b1000101 + 0o37) + chr(0b110 + 0o137) + chr(0b11110 + 0o105) + chr(0b11 + 0o154) + '\144' + chr(5332 - 5231))(chr(117) + chr(116) + chr(102) + '\x2d' + chr(56))] == xafqLlk3kkUe(SXOLrMavuUCe(b'\x9bL\xc1\xff'), '\144' + '\145' + chr(0b100 + 0o137) + '\157' + chr(0b1011101 + 0o7) + '\x65')('\165' + '\164' + '\x66' + chr(0b101101) + chr(56)):
_GyOifGFZyk1 = cEkFpYktkSeK.nn.functional.relu
else:
raise h0iXqtiKVeKg(xafqLlk3kkUe(SXOLrMavuUCe(b'\xbcG\xc6\xe4\x8aE\x08\x86\xf1Xk\xf9\x0bk\x92\xb7\xf6Y'), chr(0b1001001 + 0o33) + '\x65' + chr(0b1100011) + '\157' + '\144' + '\x65')(chr(0b101 + 0o160) + chr(3161 - 3045) + chr(0b1010001 + 0o25) + chr(0b101101) + chr(0b110 + 0o62)))
acf3U3erPXbI = cEkFpYktkSeK.transpose(acf3U3erPXbI, ehT0Px3KOsy9(chr(655 - 607) + chr(0b1010100 + 0o33) + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062', 8))
Hq_IFE6OTSwu = []
for WVxHKyX45z_L in vQr8gNKaIaWE(c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb6J\xc2\xe4\x93]\n\xd3\xe4Rp\xfe\x0e'), '\x64' + chr(10133 - 10032) + chr(1680 - 1581) + '\157' + chr(100) + chr(0b1100101))(chr(5690 - 5573) + chr(0b1110100) + chr(0b1100110) + chr(45) + '\070')))):
m1sWr00SVpVY = xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8aA\xcc\xf8\xbaQ\t\xc8\xe6dd\xed'), chr(0b1100100) + '\145' + '\x63' + chr(0b1100010 + 0o15) + chr(100) + '\145')(chr(0b11100 + 0o131) + chr(0b1111 + 0o145) + chr(0b1010101 + 0o21) + '\x2d' + chr(0b10101 + 0o43)).V4roHaS3Ppej(WVxHKyX45z_L))
tulGoizc7a_y = m1sWr00SVpVY(acf3U3erPXbI)
(tulGoizc7a_y, VNGQdHSFPrso) = cEkFpYktkSeK.tsdjvlgh9gDP(tulGoizc7a_y, dim=-ehT0Px3KOsy9('\060' + chr(5482 - 5371) + chr(872 - 823), 8))
tulGoizc7a_y = _GyOifGFZyk1(tulGoizc7a_y)
xafqLlk3kkUe(Hq_IFE6OTSwu, xafqLlk3kkUe(SXOLrMavuUCe(b'\x88Y\xdd\xef\x8bV'), chr(7821 - 7721) + '\x65' + chr(3326 - 3227) + chr(111) + chr(100) + chr(0b1100101))('\x75' + chr(0b1000010 + 0o62) + '\146' + '\055' + chr(395 - 339)))(tulGoizc7a_y)
ej2OsISSPeax = cEkFpYktkSeK.cat(Hq_IFE6OTSwu, dim=-ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\061', 8))
ej2OsISSPeax = oVre8I6UXc3b._highways(ej2OsISSPeax)
ej2OsISSPeax = oVre8I6UXc3b._projection(ej2OsISSPeax)
(ix9dZyeAmUxY, KpLkLOIdDwiZ, VNGQdHSFPrso) = nxz13KdxmJ5X.NLcc3BCJnQka()
return {xafqLlk3kkUe(SXOLrMavuUCe(b'\x84H\xde\xe1'), chr(100) + chr(0b1100101) + chr(1856 - 1757) + '\x6f' + chr(0b1010 + 0o132) + chr(0b1000111 + 0o36))(chr(10082 - 9965) + chr(0b1100000 + 0o24) + chr(0b1100110) + chr(0b101101) + chr(56)): dZLQ7q1PiDHZ, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9dF\xc6\xef\x8bm\x03\xcb\xf2^{\xf4\x14d\x81'), chr(5557 - 5457) + '\x65' + chr(0b101 + 0o136) + '\157' + chr(5048 - 4948) + '\x65')('\165' + '\164' + chr(0b100001 + 0o105) + chr(0b101101) + chr(56)): xafqLlk3kkUe(ej2OsISSPeax, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9f@\xc8\xfd'), chr(2497 - 2397) + chr(4545 - 4444) + chr(0b1100011) + chr(0b110010 + 0o75) + chr(5706 - 5606) + chr(8250 - 8149))(chr(13277 - 13160) + '\164' + chr(102) + chr(0b101101) + '\070'))(ix9dZyeAmUxY, KpLkLOIdDwiZ, -ehT0Px3KOsy9(chr(729 - 681) + chr(111) + '\061', 8))}
|
allenai/allennlp
|
allennlp/modules/elmo.py
|
_ElmoBiLm.forward
|
def forward(self, # pylint: disable=arguments-differ
inputs: torch.Tensor,
word_inputs: torch.Tensor = None) -> Dict[str, Union[torch.Tensor, List[torch.Tensor]]]:
"""
Parameters
----------
inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape ``(batch_size, timesteps)``,
which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'activations'``: ``List[torch.Tensor]``
A list of activations at each layer of the network, each of shape
``(batch_size, timesteps + 2, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps + 2)`` long tensor with sequence mask.
Note that the output tensors all include additional special begin and end of sequence
markers.
"""
if self._word_embedding is not None and word_inputs is not None:
try:
mask_without_bos_eos = (word_inputs > 0).long()
# The character cnn part is cached - just look it up.
embedded_inputs = self._word_embedding(word_inputs) # type: ignore
# shape (batch_size, timesteps + 2, embedding_dim)
type_representation, mask = add_sentence_boundary_token_ids(
embedded_inputs,
mask_without_bos_eos,
self._bos_embedding,
self._eos_embedding
)
except RuntimeError:
# Back off to running the character convolutions,
# as we might not have the words in the cache.
token_embedding = self._token_embedder(inputs)
mask = token_embedding['mask']
type_representation = token_embedding['token_embedding']
else:
token_embedding = self._token_embedder(inputs)
mask = token_embedding['mask']
type_representation = token_embedding['token_embedding']
lstm_outputs = self._elmo_lstm(type_representation, mask)
# Prepare the output. The first layer is duplicated.
# Because of minor differences in how masking is applied depending
# on whether the char cnn layers are cached, we'll be defensive and
# multiply by the mask here. It's not strictly necessary, as the
# mask passed on is correct, but the values in the padded areas
# of the char cnn representations can change.
output_tensors = [
torch.cat([type_representation, type_representation], dim=-1) * mask.float().unsqueeze(-1)
]
for layer_activations in torch.chunk(lstm_outputs, lstm_outputs.size(0), dim=0):
output_tensors.append(layer_activations.squeeze(0))
return {
'activations': output_tensors,
'mask': mask,
}
|
python
|
def forward(self, # pylint: disable=arguments-differ
inputs: torch.Tensor,
word_inputs: torch.Tensor = None) -> Dict[str, Union[torch.Tensor, List[torch.Tensor]]]:
"""
Parameters
----------
inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape ``(batch_size, timesteps)``,
which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'activations'``: ``List[torch.Tensor]``
A list of activations at each layer of the network, each of shape
``(batch_size, timesteps + 2, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps + 2)`` long tensor with sequence mask.
Note that the output tensors all include additional special begin and end of sequence
markers.
"""
if self._word_embedding is not None and word_inputs is not None:
try:
mask_without_bos_eos = (word_inputs > 0).long()
# The character cnn part is cached - just look it up.
embedded_inputs = self._word_embedding(word_inputs) # type: ignore
# shape (batch_size, timesteps + 2, embedding_dim)
type_representation, mask = add_sentence_boundary_token_ids(
embedded_inputs,
mask_without_bos_eos,
self._bos_embedding,
self._eos_embedding
)
except RuntimeError:
# Back off to running the character convolutions,
# as we might not have the words in the cache.
token_embedding = self._token_embedder(inputs)
mask = token_embedding['mask']
type_representation = token_embedding['token_embedding']
else:
token_embedding = self._token_embedder(inputs)
mask = token_embedding['mask']
type_representation = token_embedding['token_embedding']
lstm_outputs = self._elmo_lstm(type_representation, mask)
# Prepare the output. The first layer is duplicated.
# Because of minor differences in how masking is applied depending
# on whether the char cnn layers are cached, we'll be defensive and
# multiply by the mask here. It's not strictly necessary, as the
# mask passed on is correct, but the values in the padded areas
# of the char cnn representations can change.
output_tensors = [
torch.cat([type_representation, type_representation], dim=-1) * mask.float().unsqueeze(-1)
]
for layer_activations in torch.chunk(lstm_outputs, lstm_outputs.size(0), dim=0):
output_tensors.append(layer_activations.squeeze(0))
return {
'activations': output_tensors,
'mask': mask,
}
|
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Parameters
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inputs: ``torch.Tensor``, required.
Shape ``(batch_size, timesteps, 50)`` of character ids representing the current batch.
word_inputs : ``torch.Tensor``, required.
If you passed a cached vocab, you can in addition pass a tensor of shape ``(batch_size, timesteps)``,
which represent word ids which have been pre-cached.
Returns
-------
Dict with keys:
``'activations'``: ``List[torch.Tensor]``
A list of activations at each layer of the network, each of shape
``(batch_size, timesteps + 2, embedding_dim)``
``'mask'``: ``torch.Tensor``
Shape ``(batch_size, timesteps + 2)`` long tensor with sequence mask.
Note that the output tensors all include additional special begin and end of sequence
markers.
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/elmo.py#L561-L625
|
train
|
Forward computation of the current character set.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110010) + chr(0b100111 + 0o16), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10 + 0o155) + chr(0b0 + 0o65) + chr(0b110011), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11111 + 0o27) + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(55) + chr(53), 48576 - 48568), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + '\065' + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(11583 - 11472) + chr(49) + chr(0b11001 + 0o27) + chr(0b1010 + 0o47), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(53) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(6443 - 6332) + chr(0b110001) + chr(1865 - 1817) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b100010 + 0o17) + chr(0b110001) + chr(1714 - 1660), ord("\x08")), ehT0Px3KOsy9('\060' + chr(3580 - 3469) + chr(51) + chr(48) + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + chr(1037 - 984) + chr(51), 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\062' + '\x33', 39417 - 39409), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(49) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111000 + 0o67) + chr(1789 - 1740) + chr(0b110000) + chr(1092 - 1042), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b110010 + 0o2) + chr(0b1011 + 0o54), 26979 - 26971), ehT0Px3KOsy9(chr(900 - 852) + '\157' + '\x32' + chr(0b110010 + 0o1) + chr(0b100001 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000110 + 0o51) + chr(0b110101 + 0o2) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x32' + chr(1042 - 994) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + chr(51) + '\066', 0o10), ehT0Px3KOsy9(chr(1750 - 1702) + chr(11767 - 11656) + chr(0b101100 + 0o5) + '\x32' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(368 - 320) + '\157' + '\x31' + '\060' + chr(2475 - 2422), 0o10), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + '\062' + chr(0b101011 + 0o6) + chr(53), ord("\x08")), ehT0Px3KOsy9(chr(2130 - 2082) + '\157' + '\061' + chr(0b1001 + 0o54) + chr(0b11011 + 0o34), 0o10), ehT0Px3KOsy9('\x30' + chr(10683 - 10572) + chr(257 - 202) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1764 - 1713) + chr(0b110001), 34394 - 34386), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(55) + chr(390 - 335), 8), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + chr(1304 - 1254) + chr(53) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(0b110010) + chr(2377 - 2323), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3013 - 2902) + chr(0b1110 + 0o43) + '\065' + chr(463 - 414), 0b1000), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(0b110011) + chr(0b101001 + 0o15) + chr(1935 - 1885), 47756 - 47748), ehT0Px3KOsy9(chr(970 - 922) + chr(9163 - 9052) + '\x33' + chr(48) + chr(55), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\063' + chr(53) + chr(2177 - 2122), ord("\x08")), ehT0Px3KOsy9(chr(1695 - 1647) + chr(0b1000101 + 0o52) + '\x33' + '\065' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + chr(0b1101111) + chr(55) + '\067', 8), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b100001 + 0o116) + chr(1656 - 1606) + '\x30' + chr(552 - 499), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + chr(55) + chr(894 - 842), 0b1000), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(0b111100 + 0o63) + '\062' + chr(327 - 277) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\x32' + chr(0b110010) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1584 - 1536) + '\x6f' + '\061' + chr(0b11111 + 0o26) + '\060', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\064' + '\x32', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101100 + 0o3) + '\x35' + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'{'), '\144' + chr(0b1011001 + 0o14) + '\x63' + chr(0b1101111) + chr(2123 - 2023) + chr(101))(chr(117) + '\x74' + chr(4696 - 4594) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GbbcCHUNFMj5(oVre8I6UXc3b, vXoupepMtCXU, Kk2hh9HVMmzs=None) -> zBnV56fc6HrA[M8_cKLkHVB2V, xS28O63k1eqo[xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01N[N\x053'), chr(1614 - 1514) + chr(101) + '\x63' + '\157' + chr(3048 - 2948) + chr(101))(chr(3913 - 3796) + '\x74' + chr(0b1001110 + 0o30) + chr(1631 - 1586) + '\070')), qRxF7OQ0y39T[xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\x01N[N\x053'), chr(0b1100100) + chr(2424 - 2323) + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(3934 - 3832) + chr(45) + chr(56)))]]]:
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\n\\ZO\x0e\x1eJ-,\xa5\x8fw\xa4,\x80'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\x64' + chr(0b1100101))(chr(117) + chr(0b1110100) + chr(0b1100110) + '\055' + chr(0b11101 + 0o33))) is not None and Kk2hh9HVMmzs is not None:
try:
g50z162N80_N = (Kk2hh9HVMmzs > ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2252 - 2204), 58340 - 58332)).long()
KZYHHUXmghyU = oVre8I6UXc3b._word_embedding(Kk2hh9HVMmzs)
(_0fUkO1ng4L_, Iz1jSgUKZDvt) = lgDVfzWIwOn1(KZYHHUXmghyU, g50z162N80_N, oVre8I6UXc3b._bos_embedding, oVre8I6UXc3b._eos_embedding)
except n0ZkatoveZpF:
ej2OsISSPeax = oVre8I6UXc3b._token_embedder(vXoupepMtCXU)
Iz1jSgUKZDvt = ej2OsISSPeax[xafqLlk3kkUe(SXOLrMavuUCe(b'8JFV'), chr(100) + chr(0b1100101) + chr(0b1010001 + 0o22) + chr(10355 - 10244) + chr(100) + chr(10066 - 9965))(chr(0b1001110 + 0o47) + chr(0b1110100) + '\x66' + '\x2d' + chr(0b1100 + 0o54))]
_0fUkO1ng4L_ = ej2OsISSPeax[xafqLlk3kkUe(SXOLrMavuUCe(b'!D^X\x04\x1eJ-,\xa5\x8fw\xa4,\x80'), chr(100) + chr(0b1100101) + chr(6148 - 6049) + '\157' + '\x64' + chr(101))(chr(0b1110101) + chr(2535 - 2419) + chr(0b1100110) + '\x2d' + chr(2545 - 2489))]
else:
ej2OsISSPeax = oVre8I6UXc3b._token_embedder(vXoupepMtCXU)
Iz1jSgUKZDvt = ej2OsISSPeax[xafqLlk3kkUe(SXOLrMavuUCe(b'8JFV'), chr(0b1100100) + chr(0b101011 + 0o72) + '\143' + chr(111) + chr(100) + '\145')(chr(117) + chr(116) + chr(0b1100110) + chr(0b100011 + 0o12) + '\x38')]
_0fUkO1ng4L_ = ej2OsISSPeax[xafqLlk3kkUe(SXOLrMavuUCe(b'!D^X\x04\x1eJ-,\xa5\x8fw\xa4,\x80'), '\x64' + chr(0b1011111 + 0o6) + '\x63' + '\x6f' + chr(100) + '\145')(chr(117) + '\x74' + chr(102) + '\055' + '\x38')]
dAg4p4XZ70V9 = oVre8I6UXc3b._elmo_lstm(_0fUkO1ng4L_, Iz1jSgUKZDvt)
I9TkQtaS5kw5 = [cEkFpYktkSeK.cat([_0fUkO1ng4L_, _0fUkO1ng4L_], dim=-ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', ord("\x08"))) * Iz1jSgUKZDvt.float().unsqueeze(-ehT0Px3KOsy9(chr(48) + chr(111) + '\x31', 8))]
for pFsv81douvkT in xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'6C@S\x01'), '\144' + chr(0b1100101) + chr(0b101000 + 0o73) + '\157' + chr(0b1100100) + chr(101))(chr(117) + '\x74' + chr(0b1100110) + chr(45) + '\x38'))(dAg4p4XZ70V9, xafqLlk3kkUe(dAg4p4XZ70V9, xafqLlk3kkUe(SXOLrMavuUCe(b'\x1bgV^Y\x03l\n \x91\x80r'), '\144' + '\x65' + chr(99) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(7306 - 7189) + chr(0b1000110 + 0o56) + '\146' + '\055' + '\070'))(ehT0Px3KOsy9(chr(2303 - 2255) + chr(0b1101111) + '\x30', 8)), dim=ehT0Px3KOsy9(chr(48) + chr(111) + '\060', 8)):
xafqLlk3kkUe(I9TkQtaS5kw5, xafqLlk3kkUe(SXOLrMavuUCe(b'4[EX\x04%'), chr(0b1100100) + chr(0b1100101) + chr(99) + '\157' + chr(7460 - 7360) + '\145')('\x75' + chr(0b1110100) + chr(0b1001001 + 0o35) + chr(1669 - 1624) + '\070'))(xafqLlk3kkUe(pFsv81douvkT, xafqLlk3kkUe(SXOLrMavuUCe(b'&Z@X\x0f;J'), '\144' + '\145' + '\x63' + chr(0b10 + 0o155) + chr(0b1100100) + chr(0b1 + 0o144))('\x75' + '\164' + chr(8337 - 8235) + chr(45) + '\x38'))(ehT0Px3KOsy9(chr(48) + '\157' + '\x30', 8)))
return {xafqLlk3kkUe(SXOLrMavuUCe(b'4HAT\x1c [)!\xae\x98'), '\144' + chr(0b1100101) + chr(0b1100011) + chr(111) + chr(0b1100100) + chr(101))(chr(0b101101 + 0o110) + chr(1029 - 913) + chr(0b110000 + 0o66) + chr(45) + chr(0b111000)): I9TkQtaS5kw5, xafqLlk3kkUe(SXOLrMavuUCe(b'8JFV'), chr(100) + chr(0b1011110 + 0o7) + chr(8836 - 8737) + '\x6f' + chr(0b10111 + 0o115) + chr(1379 - 1278))(chr(0b1110101) + '\x74' + chr(6674 - 6572) + chr(0b1001 + 0o44) + chr(0b100100 + 0o24)): Iz1jSgUKZDvt}
|
allenai/allennlp
|
allennlp/modules/elmo.py
|
_ElmoBiLm.create_cached_cnn_embeddings
|
def create_cached_cnn_embeddings(self, tokens: List[str]) -> None:
"""
Given a list of tokens, this method precomputes word representations
by running just the character convolutions and highway layers of elmo,
essentially creating uncontextual word vectors. On subsequent forward passes,
the word ids are looked up from an embedding, rather than being computed on
the fly via the CNN encoder.
This function sets 3 attributes:
_word_embedding : ``torch.Tensor``
The word embedding for each word in the tokens passed to this method.
_bos_embedding : ``torch.Tensor``
The embedding for the BOS token.
_eos_embedding : ``torch.Tensor``
The embedding for the EOS token.
Parameters
----------
tokens : ``List[str]``, required.
A list of tokens to precompute character convolutions for.
"""
tokens = [ELMoCharacterMapper.bos_token, ELMoCharacterMapper.eos_token] + tokens
timesteps = 32
batch_size = 32
chunked_tokens = lazy_groups_of(iter(tokens), timesteps)
all_embeddings = []
device = get_device_of(next(self.parameters()))
for batch in lazy_groups_of(chunked_tokens, batch_size):
# Shape (batch_size, timesteps, 50)
batched_tensor = batch_to_ids(batch)
# NOTE: This device check is for when a user calls this method having
# already placed the model on a device. If this is called in the
# constructor, it will probably happen on the CPU. This isn't too bad,
# because it's only a few convolutions and will likely be very fast.
if device >= 0:
batched_tensor = batched_tensor.cuda(device)
output = self._token_embedder(batched_tensor)
token_embedding = output["token_embedding"]
mask = output["mask"]
token_embedding, _ = remove_sentence_boundaries(token_embedding, mask)
all_embeddings.append(token_embedding.view(-1, token_embedding.size(-1)))
full_embedding = torch.cat(all_embeddings, 0)
# We might have some trailing embeddings from padding in the batch, so
# we clip the embedding and lookup to the right size.
full_embedding = full_embedding[:len(tokens), :]
embedding = full_embedding[2:len(tokens), :]
vocab_size, embedding_dim = list(embedding.size())
from allennlp.modules.token_embedders import Embedding # type: ignore
self._bos_embedding = full_embedding[0, :]
self._eos_embedding = full_embedding[1, :]
self._word_embedding = Embedding(vocab_size, # type: ignore
embedding_dim,
weight=embedding.data,
trainable=self._requires_grad,
padding_index=0)
|
python
|
def create_cached_cnn_embeddings(self, tokens: List[str]) -> None:
"""
Given a list of tokens, this method precomputes word representations
by running just the character convolutions and highway layers of elmo,
essentially creating uncontextual word vectors. On subsequent forward passes,
the word ids are looked up from an embedding, rather than being computed on
the fly via the CNN encoder.
This function sets 3 attributes:
_word_embedding : ``torch.Tensor``
The word embedding for each word in the tokens passed to this method.
_bos_embedding : ``torch.Tensor``
The embedding for the BOS token.
_eos_embedding : ``torch.Tensor``
The embedding for the EOS token.
Parameters
----------
tokens : ``List[str]``, required.
A list of tokens to precompute character convolutions for.
"""
tokens = [ELMoCharacterMapper.bos_token, ELMoCharacterMapper.eos_token] + tokens
timesteps = 32
batch_size = 32
chunked_tokens = lazy_groups_of(iter(tokens), timesteps)
all_embeddings = []
device = get_device_of(next(self.parameters()))
for batch in lazy_groups_of(chunked_tokens, batch_size):
# Shape (batch_size, timesteps, 50)
batched_tensor = batch_to_ids(batch)
# NOTE: This device check is for when a user calls this method having
# already placed the model on a device. If this is called in the
# constructor, it will probably happen on the CPU. This isn't too bad,
# because it's only a few convolutions and will likely be very fast.
if device >= 0:
batched_tensor = batched_tensor.cuda(device)
output = self._token_embedder(batched_tensor)
token_embedding = output["token_embedding"]
mask = output["mask"]
token_embedding, _ = remove_sentence_boundaries(token_embedding, mask)
all_embeddings.append(token_embedding.view(-1, token_embedding.size(-1)))
full_embedding = torch.cat(all_embeddings, 0)
# We might have some trailing embeddings from padding in the batch, so
# we clip the embedding and lookup to the right size.
full_embedding = full_embedding[:len(tokens), :]
embedding = full_embedding[2:len(tokens), :]
vocab_size, embedding_dim = list(embedding.size())
from allennlp.modules.token_embedders import Embedding # type: ignore
self._bos_embedding = full_embedding[0, :]
self._eos_embedding = full_embedding[1, :]
self._word_embedding = Embedding(vocab_size, # type: ignore
embedding_dim,
weight=embedding.data,
trainable=self._requires_grad,
padding_index=0)
|
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Given a list of tokens, this method precomputes word representations
by running just the character convolutions and highway layers of elmo,
essentially creating uncontextual word vectors. On subsequent forward passes,
the word ids are looked up from an embedding, rather than being computed on
the fly via the CNN encoder.
This function sets 3 attributes:
_word_embedding : ``torch.Tensor``
The word embedding for each word in the tokens passed to this method.
_bos_embedding : ``torch.Tensor``
The embedding for the BOS token.
_eos_embedding : ``torch.Tensor``
The embedding for the EOS token.
Parameters
----------
tokens : ``List[str]``, required.
A list of tokens to precompute character convolutions for.
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/modules/elmo.py#L627-L685
|
train
|
Creates the word embedding tensors for each token in the list of tokens.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(49) + chr(761 - 711) + '\066', 49837 - 49829), ehT0Px3KOsy9(chr(0b101000 + 0o10) + chr(111) + chr(1893 - 1843) + chr(769 - 719) + chr(49), 15589 - 15581), ehT0Px3KOsy9(chr(1029 - 981) + '\x6f' + '\x31' + chr(0b110011) + chr(49), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11001 + 0o32) + chr(0b110100) + chr(0b100101 + 0o20), 0b1000), ehT0Px3KOsy9(chr(1316 - 1268) + '\x6f' + chr(0b10000 + 0o43) + '\061' + chr(2420 - 2365), 0o10), ehT0Px3KOsy9(chr(314 - 266) + chr(0b1101111) + chr(755 - 705) + '\067' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b11101 + 0o23) + chr(1858 - 1804), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1001000 + 0o47) + '\x32' + chr(50) + chr(50), 0o10), ehT0Px3KOsy9(chr(1760 - 1712) + chr(0b10000 + 0o137) + chr(0b101110 + 0o3) + '\x35' + '\064', 0o10), ehT0Px3KOsy9(chr(1234 - 1186) + '\157' + chr(53) + chr(0b11 + 0o64), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110011) + chr(0b110001) + chr(2487 - 2432), 8), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b1101111) + '\061' + chr(0b10010 + 0o45) + '\066', 0o10), ehT0Px3KOsy9('\x30' + chr(4356 - 4245) + chr(0b11011 + 0o33) + '\062', 0b1000), ehT0Px3KOsy9(chr(881 - 833) + chr(111) + chr(0b1001 + 0o50) + chr(1087 - 1038) + '\067', 1960 - 1952), ehT0Px3KOsy9(chr(280 - 232) + chr(0b1100 + 0o143) + chr(1963 - 1912) + '\066' + chr(2158 - 2108), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o30) + chr(0b110011) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110000 + 0o4) + chr(0b1 + 0o63), 0o10), ehT0Px3KOsy9(chr(0b110 + 0o52) + '\157' + '\062' + chr(0b110010) + chr(0b110000), 57575 - 57567), ehT0Px3KOsy9(chr(2281 - 2233) + chr(111) + chr(0b10011 + 0o36) + chr(407 - 358) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(2247 - 2196) + chr(1168 - 1116), 59836 - 59828), ehT0Px3KOsy9('\060' + '\x6f' + chr(565 - 516) + '\x31' + chr(0b110111), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3153 - 3042) + chr(49) + chr(0b100011 + 0o20) + chr(53), 4506 - 4498), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(0b1100011 + 0o14) + chr(777 - 728) + '\061' + '\065', 26936 - 26928), ehT0Px3KOsy9('\x30' + '\x6f' + chr(55) + '\x36', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b11 + 0o56) + chr(54) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110010) + chr(0b11110 + 0o27), 11035 - 11027), ehT0Px3KOsy9('\060' + chr(3130 - 3019) + '\x32' + chr(52) + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + '\157' + chr(1642 - 1591) + '\061' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b101001 + 0o12) + '\x36' + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(0b1010001 + 0o36) + '\x31' + chr(1195 - 1145) + chr(1650 - 1602), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(0b100 + 0o56) + '\x35' + chr(0b10000 + 0o45), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b100110 + 0o13) + '\061', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110111), 60500 - 60492), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b100101 + 0o21) + chr(1999 - 1950), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(55) + chr(1313 - 1261), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110111) + chr(1904 - 1854), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b101000 + 0o11) + chr(0b110110) + chr(0b110000), 25721 - 25713), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o60) + chr(0b110001), 32475 - 32467), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(0b11111 + 0o24) + chr(48) + chr(0b110100), 15231 - 15223), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(784 - 734) + chr(943 - 891) + '\x30', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(637 - 589) + chr(0b1101111) + chr(0b110101) + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'x'), chr(100) + chr(1893 - 1792) + chr(99) + chr(11184 - 11073) + chr(0b10010 + 0o122) + chr(0b111101 + 0o50))('\165' + chr(0b1100001 + 0o23) + chr(102) + '\x2d' + chr(2670 - 2614)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def cvapHGXsCcos(oVre8I6UXc3b, Sz7tXxaCGqJ1) -> None:
Sz7tXxaCGqJ1 = [kQmRK2XvgC45.bos_token, kQmRK2XvgC45.eos_token] + Sz7tXxaCGqJ1
QNvXCjnvcnON = ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110 + 0o56) + '\x30', ord("\x08"))
ix9dZyeAmUxY = ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b110100 + 0o0) + chr(48), 8)
J4h5ajleisPn = A7kxV2FuX2_9(ZdP978XkGspL(Sz7tXxaCGqJ1), QNvXCjnvcnON)
G1nJChNMxtrI = []
v9dZPx26KxBP = yRvvZkDFNAV9(nSwwHEeM4cxI(oVre8I6UXc3b.parameters()))
for dNwAahu8tvoY in A7kxV2FuX2_9(J4h5ajleisPn, ix9dZyeAmUxY):
Ar9KRSv3M9Er = KBB0yWyM0_TU(dNwAahu8tvoY)
if v9dZPx26KxBP >= ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\x6f' + chr(0b101100 + 0o4), ord("\x08")):
Ar9KRSv3M9Er = Ar9KRSv3M9Er.cuda(v9dZPx26KxBP)
e1jVqMSBZ01Y = oVre8I6UXc3b._token_embedder(Ar9KRSv3M9Er)
ej2OsISSPeax = e1jVqMSBZ01Y[xafqLlk3kkUe(SXOLrMavuUCe(b'"\xfe2\x80\xa1\xe0\xe3\xff\x0eJ\xab\x1a[!\x95'), chr(100) + chr(0b1100101) + chr(99) + '\x6f' + chr(3459 - 3359) + '\145')('\x75' + chr(116) + chr(0b110111 + 0o57) + chr(45) + chr(1360 - 1304))]
Iz1jSgUKZDvt = e1jVqMSBZ01Y[xafqLlk3kkUe(SXOLrMavuUCe(b';\xf0*\x8e'), chr(0b101011 + 0o71) + '\x65' + chr(0b1100011) + chr(3603 - 3492) + '\144' + chr(101))(chr(0b100 + 0o161) + chr(0b1110100) + '\146' + chr(683 - 638) + chr(56))]
(ej2OsISSPeax, VNGQdHSFPrso) = ooqEa__WcZPK(ej2OsISSPeax, Iz1jSgUKZDvt)
xafqLlk3kkUe(G1nJChNMxtrI, xafqLlk3kkUe(SXOLrMavuUCe(b'7\xe1)\x80\xa1\xdb'), chr(1609 - 1509) + chr(101) + chr(4913 - 4814) + '\157' + chr(100) + '\145')(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + '\x38'))(xafqLlk3kkUe(ej2OsISSPeax, xafqLlk3kkUe(SXOLrMavuUCe(b' \xf8<\x92'), '\144' + chr(0b1100101) + chr(9713 - 9614) + chr(111) + chr(100) + chr(101))('\x75' + chr(0b1110100) + chr(0b1100110) + '\055' + '\x38'))(-ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(49), 0b1000), xafqLlk3kkUe(ej2OsISSPeax, xafqLlk3kkUe(SXOLrMavuUCe(b'\x18\xdd:\x86\xfc\xfd\xc5\xd8\x02~\xa4\x1f'), '\x64' + chr(0b1100101) + '\x63' + '\x6f' + '\x64' + '\145')(chr(0b1110101) + '\x74' + chr(0b1010001 + 0o25) + '\055' + '\x38'))(-ehT0Px3KOsy9(chr(48) + '\157' + '\x31', 8))))
SG25WmkW9SRC = cEkFpYktkSeK.cat(G1nJChNMxtrI, ehT0Px3KOsy9('\x30' + chr(2932 - 2821) + '\x30', 8))
SG25WmkW9SRC = SG25WmkW9SRC[:c2A0yzQpDQB3(Sz7tXxaCGqJ1), :]
lwIir85sFEJp = SG25WmkW9SRC[ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062', 0b1000):c2A0yzQpDQB3(Sz7tXxaCGqJ1), :]
(CeyMIoSyrpkQ, ys3GY1_gtGOx) = YyaZ4tpXu4lf(lwIir85sFEJp.NLcc3BCJnQka())
(UvUNwTdSPUfp,) = (xafqLlk3kkUe(xafqLlk3kkUe(xafqLlk3kkUe(NPPHb59961Bv(xafqLlk3kkUe(SXOLrMavuUCe(b'7\xfd5\x80\xa1\xd1\xea\xe2BB\xa0\x1aG#\x97\xef\n\xe4#\xb7*3\x12[\x19\xf7\xc7\xad\x905\xdfz'), chr(7670 - 7570) + chr(0b111000 + 0o55) + chr(2547 - 2448) + chr(3630 - 3519) + '\x64' + chr(101))(chr(117) + chr(116) + chr(0b1100110) + '\x2d' + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xfc;\x80\xab\xdb\xef\xfc\x0b'), chr(0b1000101 + 0o37) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(1666 - 1566) + '\145')(chr(0b1101101 + 0o10) + '\164' + '\146' + '\x2d' + chr(0b100 + 0o64))), xafqLlk3kkUe(SXOLrMavuUCe(b';\xfe=\x90\xa3\xda\xf5'), '\144' + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(216 - 99) + '\164' + chr(0b1100110) + '\055' + chr(0b100001 + 0o27))), xafqLlk3kkUe(SXOLrMavuUCe(b'"\xfe2\x80\xa1\xe0\xe3\xff\x0eJ\xab\x1aW=\x81'), chr(100) + chr(6830 - 6729) + '\x63' + chr(0b1101111) + chr(100) + '\145')('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + chr(1326 - 1270))), xafqLlk3kkUe(SXOLrMavuUCe(b'\x13\xfc;\x80\xab\xdb\xef\xfc\x0b'), '\144' + '\145' + chr(3884 - 3785) + '\157' + chr(0b1100100) + chr(0b1010010 + 0o23))('\x75' + chr(116) + chr(102) + '\x2d' + chr(56))),)
oVre8I6UXc3b.zA_WG9exkAEW = SG25WmkW9SRC[ehT0Px3KOsy9(chr(0b110000) + chr(6270 - 6159) + chr(0b1011 + 0o45), 8), :]
oVre8I6UXc3b.YUwg3mcNoTcb = SG25WmkW9SRC[ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001), 8), :]
oVre8I6UXc3b.xibo5f2e1rWl = UvUNwTdSPUfp(CeyMIoSyrpkQ, ys3GY1_gtGOx, weight=lwIir85sFEJp.ULnjp6D6efFH, trainable=oVre8I6UXc3b._requires_grad, padding_index=ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(48), 8))
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
normalize_text
|
def normalize_text(text: str) -> str:
"""
Performs a normalization that is very similar to that done by the normalization functions in
SQuAD and TriviaQA.
This involves splitting and rejoining the text, and could be a somewhat expensive operation.
"""
return ' '.join([token
for token in text.lower().strip(STRIPPED_CHARACTERS).split()
if token not in IGNORED_TOKENS])
|
python
|
def normalize_text(text: str) -> str:
"""
Performs a normalization that is very similar to that done by the normalization functions in
SQuAD and TriviaQA.
This involves splitting and rejoining the text, and could be a somewhat expensive operation.
"""
return ' '.join([token
for token in text.lower().strip(STRIPPED_CHARACTERS).split()
if token not in IGNORED_TOKENS])
|
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"]",
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] |
Performs a normalization that is very similar to that done by the normalization functions in
SQuAD and TriviaQA.
This involves splitting and rejoining the text, and could be a somewhat expensive operation.
|
[
"Performs",
"a",
"normalization",
"that",
"is",
"very",
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"to",
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"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L24-L33
|
train
|
Normalizes the given text to be a more efficient form.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b11110 + 0o22) + '\157' + '\x32' + chr(48) + '\x30', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + '\062' + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + chr(1238 - 1189) + '\063' + chr(0b100111 + 0o16), 0b1000), ehT0Px3KOsy9(chr(1164 - 1116) + chr(5786 - 5675) + chr(0b1000 + 0o52) + chr(55) + '\x32', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(11846 - 11735) + chr(0b110111) + chr(0b110101), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(55) + chr(53), 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(49) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(2362 - 2251) + chr(646 - 596) + chr(0b100001 + 0o21), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b111100 + 0o63) + '\x32' + '\066', 53200 - 53192), ehT0Px3KOsy9(chr(0b11 + 0o55) + '\157' + chr(0b110001) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(1775 - 1723) + '\067', 30890 - 30882), ehT0Px3KOsy9(chr(890 - 842) + chr(1243 - 1132) + '\063' + chr(1253 - 1204) + chr(0b100100 + 0o23), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b1111 + 0o42) + chr(0b100110 + 0o13) + chr(1600 - 1550), 0b1000), ehT0Px3KOsy9('\060' + '\157' + '\x31' + '\062' + '\x32', 0o10), ehT0Px3KOsy9(chr(1685 - 1637) + chr(0b1101111) + '\x31' + chr(0b110010) + '\x32', 8), ehT0Px3KOsy9(chr(0b100 + 0o54) + chr(0b1101111) + chr(53) + chr(0b10110 + 0o37), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + chr(1373 - 1320) + chr(2295 - 2242), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b101101 + 0o4) + chr(0b111 + 0o53) + '\x37', 28548 - 28540), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(111) + chr(705 - 656) + chr(54) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\x6f' + chr(49) + chr(53) + '\062', 0o10), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1011010 + 0o25) + chr(1069 - 1020) + '\062' + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x33' + chr(0b110011 + 0o1), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(0b110011) + chr(0b110110), 54844 - 54836), ehT0Px3KOsy9(chr(554 - 506) + chr(111) + '\063' + chr(2247 - 2199) + chr(1392 - 1337), 0b1000), ehT0Px3KOsy9('\060' + chr(583 - 472) + chr(796 - 747) + chr(0b110000) + chr(1164 - 1111), 0b1000), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(0b110010) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b100000 + 0o20) + '\x6f' + '\063' + chr(0b101110 + 0o7), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101111 + 0o4) + chr(0b110011) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(1982 - 1934) + chr(111) + '\x37' + chr(48), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x35' + chr(2597 - 2545), 0o10), ehT0Px3KOsy9(chr(1672 - 1624) + chr(10611 - 10500) + chr(1083 - 1034) + '\x30' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110001) + '\x36' + '\x33', 43296 - 43288), ehT0Px3KOsy9(chr(462 - 414) + chr(6006 - 5895) + '\x32' + chr(50) + chr(48), 0b1000), ehT0Px3KOsy9(chr(984 - 936) + chr(0b110000 + 0o77) + chr(0b1010 + 0o51) + '\066' + chr(971 - 923), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + '\x33' + chr(0b10010 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001111 + 0o40) + '\x33' + chr(52) + '\x34', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110001) + '\060' + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(669 - 621) + '\157' + chr(2541 - 2490) + chr(0b110101), 8), ehT0Px3KOsy9(chr(48) + chr(0b1100001 + 0o16) + chr(1418 - 1369) + chr(2466 - 2412) + chr(55), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1455 - 1405) + chr(472 - 421) + '\060', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(557 - 509) + '\157' + '\x35' + chr(48), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xae'), '\x64' + '\145' + '\x63' + '\157' + '\x64' + '\x65')(chr(12735 - 12618) + '\164' + '\146' + chr(0b100001 + 0o14) + chr(823 - 767)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def LWdkb4QBA6Qk(Ah1rInvg48Hb) -> M8_cKLkHVB2V:
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0'), chr(0b1100100) + chr(101) + chr(4490 - 4391) + '\x6f' + chr(100) + chr(8441 - 8340))('\x75' + '\164' + chr(3296 - 3194) + chr(0b1100 + 0o41) + chr(1416 - 1360)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xdf\xbd\n\xe2GI\x9d\\x\x7f/\x89'), chr(0b1100100) + '\145' + chr(0b110100 + 0o57) + chr(0b1101111) + chr(100) + chr(2321 - 2220))('\x75' + chr(0b1110100) + chr(102) + '\055' + '\070'))([mTy3fac_AqJ5 for mTy3fac_AqJ5 in xafqLlk3kkUe(Ah1rInvg48Hb.lower().strip(r8tsfoTkseiV), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf3\xa21\xd3I'), chr(100) + '\145' + '\x63' + chr(111) + chr(4243 - 4143) + '\145')(chr(9416 - 9299) + chr(9161 - 9045) + '\x66' + '\x2d' + chr(2499 - 2443)))() if mTy3fac_AqJ5 not in n7anaSAgIlFL])
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
char_span_to_token_span
|
def char_span_to_token_span(token_offsets: List[Tuple[int, int]],
character_span: Tuple[int, int]) -> Tuple[Tuple[int, int], bool]:
"""
Converts a character span from a passage into the corresponding token span in the tokenized
version of the passage. If you pass in a character span that does not correspond to complete
tokens in the tokenized version, we'll do our best, but the behavior is officially undefined.
We return an error flag in this case, and have some debug logging so you can figure out the
cause of this issue (in SQuAD, these are mostly either tokenization problems or annotation
problems; there's a fair amount of both).
The basic outline of this method is to find the token span that has the same offsets as the
input character span. If the tokenizer tokenized the passage correctly and has matching
offsets, this is easy. We try to be a little smart about cases where they don't match exactly,
but mostly just find the closest thing we can.
The returned ``(begin, end)`` indices are `inclusive` for both ``begin`` and ``end``.
So, for example, ``(2, 2)`` is the one word span beginning at token index 2, ``(3, 4)`` is the
two-word span beginning at token index 3, and so on.
Returns
-------
token_span : ``Tuple[int, int]``
`Inclusive` span start and end token indices that match as closely as possible to the input
character spans.
error : ``bool``
Whether the token spans match the input character spans exactly. If this is ``False``, it
means there was an error in either the tokenization or the annotated character span.
"""
# We have token offsets into the passage from the tokenizer; we _should_ be able to just find
# the tokens that have the same offsets as our span.
error = False
start_index = 0
while start_index < len(token_offsets) and token_offsets[start_index][0] < character_span[0]:
start_index += 1
# start_index should now be pointing at the span start index.
if token_offsets[start_index][0] > character_span[0]:
# In this case, a tokenization or labeling issue made us go too far - the character span
# we're looking for actually starts in the previous token. We'll back up one.
logger.debug("Bad labelling or tokenization - start offset doesn't match")
start_index -= 1
if token_offsets[start_index][0] != character_span[0]:
error = True
end_index = start_index
while end_index < len(token_offsets) and token_offsets[end_index][1] < character_span[1]:
end_index += 1
if end_index == start_index and token_offsets[end_index][1] > character_span[1]:
# Looks like there was a token that should have been split, like "1854-1855", where the
# answer is "1854". We can't do much in this case, except keep the answer as the whole
# token.
logger.debug("Bad tokenization - end offset doesn't match")
elif token_offsets[end_index][1] > character_span[1]:
# This is a case where the given answer span is more than one token, and the last token is
# cut off for some reason, like "split with Luckett and Rober", when the original passage
# said "split with Luckett and Roberson". In this case, we'll just keep the end index
# where it is, and assume the intent was to mark the whole token.
logger.debug("Bad labelling or tokenization - end offset doesn't match")
if token_offsets[end_index][1] != character_span[1]:
error = True
return (start_index, end_index), error
|
python
|
def char_span_to_token_span(token_offsets: List[Tuple[int, int]],
character_span: Tuple[int, int]) -> Tuple[Tuple[int, int], bool]:
"""
Converts a character span from a passage into the corresponding token span in the tokenized
version of the passage. If you pass in a character span that does not correspond to complete
tokens in the tokenized version, we'll do our best, but the behavior is officially undefined.
We return an error flag in this case, and have some debug logging so you can figure out the
cause of this issue (in SQuAD, these are mostly either tokenization problems or annotation
problems; there's a fair amount of both).
The basic outline of this method is to find the token span that has the same offsets as the
input character span. If the tokenizer tokenized the passage correctly and has matching
offsets, this is easy. We try to be a little smart about cases where they don't match exactly,
but mostly just find the closest thing we can.
The returned ``(begin, end)`` indices are `inclusive` for both ``begin`` and ``end``.
So, for example, ``(2, 2)`` is the one word span beginning at token index 2, ``(3, 4)`` is the
two-word span beginning at token index 3, and so on.
Returns
-------
token_span : ``Tuple[int, int]``
`Inclusive` span start and end token indices that match as closely as possible to the input
character spans.
error : ``bool``
Whether the token spans match the input character spans exactly. If this is ``False``, it
means there was an error in either the tokenization or the annotated character span.
"""
# We have token offsets into the passage from the tokenizer; we _should_ be able to just find
# the tokens that have the same offsets as our span.
error = False
start_index = 0
while start_index < len(token_offsets) and token_offsets[start_index][0] < character_span[0]:
start_index += 1
# start_index should now be pointing at the span start index.
if token_offsets[start_index][0] > character_span[0]:
# In this case, a tokenization or labeling issue made us go too far - the character span
# we're looking for actually starts in the previous token. We'll back up one.
logger.debug("Bad labelling or tokenization - start offset doesn't match")
start_index -= 1
if token_offsets[start_index][0] != character_span[0]:
error = True
end_index = start_index
while end_index < len(token_offsets) and token_offsets[end_index][1] < character_span[1]:
end_index += 1
if end_index == start_index and token_offsets[end_index][1] > character_span[1]:
# Looks like there was a token that should have been split, like "1854-1855", where the
# answer is "1854". We can't do much in this case, except keep the answer as the whole
# token.
logger.debug("Bad tokenization - end offset doesn't match")
elif token_offsets[end_index][1] > character_span[1]:
# This is a case where the given answer span is more than one token, and the last token is
# cut off for some reason, like "split with Luckett and Rober", when the original passage
# said "split with Luckett and Roberson". In this case, we'll just keep the end index
# where it is, and assume the intent was to mark the whole token.
logger.debug("Bad labelling or tokenization - end offset doesn't match")
if token_offsets[end_index][1] != character_span[1]:
error = True
return (start_index, end_index), error
|
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Converts a character span from a passage into the corresponding token span in the tokenized
version of the passage. If you pass in a character span that does not correspond to complete
tokens in the tokenized version, we'll do our best, but the behavior is officially undefined.
We return an error flag in this case, and have some debug logging so you can figure out the
cause of this issue (in SQuAD, these are mostly either tokenization problems or annotation
problems; there's a fair amount of both).
The basic outline of this method is to find the token span that has the same offsets as the
input character span. If the tokenizer tokenized the passage correctly and has matching
offsets, this is easy. We try to be a little smart about cases where they don't match exactly,
but mostly just find the closest thing we can.
The returned ``(begin, end)`` indices are `inclusive` for both ``begin`` and ``end``.
So, for example, ``(2, 2)`` is the one word span beginning at token index 2, ``(3, 4)`` is the
two-word span beginning at token index 3, and so on.
Returns
-------
token_span : ``Tuple[int, int]``
`Inclusive` span start and end token indices that match as closely as possible to the input
character spans.
error : ``bool``
Whether the token spans match the input character spans exactly. If this is ``False``, it
means there was an error in either the tokenization or the annotated character span.
|
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"officially",
"undefined",
".",
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"in",
"this",
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"and",
"have",
"some",
"debug",
"logging",
"so",
"you",
"can",
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"out",
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"of",
"this",
"issue",
"(",
"in",
"SQuAD",
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"or",
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";",
"there",
"s",
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"fair",
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"of",
"both",
")",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L36-L94
|
train
|
Converts a character span into a token span in the tokenized
version.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(1147 - 1098) + '\x34' + chr(1306 - 1257), 31653 - 31645), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(54) + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b11010 + 0o31) + chr(1036 - 988), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1000101 + 0o52) + chr(0b110011) + chr(2244 - 2190) + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1011010 + 0o25) + '\063' + chr(0b1000 + 0o56) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(1048 - 999) + '\x34' + chr(0b1101 + 0o43), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061' + chr(51) + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(674 - 626) + chr(0b1101111) + '\061' + chr(0b101101 + 0o7) + '\x36', 0b1000), ehT0Px3KOsy9(chr(1437 - 1389) + chr(0b1101111) + '\062' + chr(0b101 + 0o54) + chr(0b10101 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110011) + '\x33' + chr(0b110100), 41289 - 41281), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b110111 + 0o70) + chr(50) + chr(2161 - 2111) + chr(0b1000 + 0o52), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + chr(0b110000 + 0o2) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(482 - 430) + chr(0b110001), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110010) + chr(2385 - 2336), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(51) + chr(0b1111 + 0o46) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(619 - 571) + chr(2450 - 2339) + chr(0b110010) + '\x36' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1010 + 0o50) + chr(48) + chr(1829 - 1777), 0b1000), ehT0Px3KOsy9(chr(48) + chr(10720 - 10609) + '\x36' + '\x37', 8), ehT0Px3KOsy9(chr(364 - 316) + chr(111) + '\063' + chr(0b110111) + chr(0b110001), 36086 - 36078), ehT0Px3KOsy9(chr(1769 - 1721) + '\157' + chr(745 - 695) + chr(0b10 + 0o61) + '\062', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + chr(0b1101111) + chr(49) + '\067' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\x6f' + chr(51) + chr(54) + '\x32', 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(55) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(111) + '\063' + chr(2023 - 1971) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(923 - 872) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(1916 - 1867) + chr(2058 - 2006) + '\067', 5821 - 5813), ehT0Px3KOsy9(chr(0b110000) + chr(4656 - 4545) + chr(0b110001) + chr(55) + '\x36', 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(0b1101111) + chr(0b100 + 0o57) + chr(184 - 135) + chr(52), 0o10), ehT0Px3KOsy9(chr(1831 - 1783) + '\x6f' + chr(0b101101 + 0o6) + chr(492 - 444) + chr(1246 - 1194), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\067' + chr(777 - 727), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b1101111) + chr(50) + chr(51) + chr(0b11101 + 0o30), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(0b110000 + 0o2) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(4432 - 4321) + chr(2446 - 2395) + '\065' + chr(55), 3408 - 3400), ehT0Px3KOsy9('\060' + chr(0b101000 + 0o107) + chr(443 - 394) + chr(1109 - 1054) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(952 - 904) + chr(0b1011110 + 0o21) + chr(2015 - 1966) + chr(0b10100 + 0o41) + chr(0b110001 + 0o6), 0b1000), ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1001 + 0o146) + '\062' + chr(60 - 9) + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b10101 + 0o132) + chr(0b100010 + 0o17) + chr(1098 - 1043) + '\064', 8), ehT0Px3KOsy9(chr(48) + chr(9637 - 9526) + '\063' + '\067', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(165 - 116) + chr(0b110101) + chr(649 - 600), 0o10), ehT0Px3KOsy9(chr(0b1010 + 0o46) + chr(10387 - 10276) + chr(0b110011) + chr(0b110010) + chr(0b110100), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b110111 + 0o70) + chr(53) + chr(0b110000), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'O'), '\144' + chr(4792 - 4691) + chr(4175 - 4076) + '\157' + '\144' + chr(3823 - 3722))('\x75' + '\x74' + chr(6616 - 6514) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def x9IXzyxrjocS(W4ulLqe9Mit5, eaKgObNjm7N1) -> MRK8Uzg2En3D[MRK8Uzg2En3D[ehT0Px3KOsy9, ehT0Px3KOsy9], WbBjf8Y7v9VN]:
EUdPatOS1wx0 = ehT0Px3KOsy9(chr(0b110000) + '\157' + '\060', 19145 - 19137)
jrpEXfDZwQEA = ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(111) + '\x30', 8)
while jrpEXfDZwQEA < c2A0yzQpDQB3(W4ulLqe9Mit5) and W4ulLqe9Mit5[jrpEXfDZwQEA][ehT0Px3KOsy9('\x30' + chr(0b101000 + 0o107) + chr(0b110000), 8)] < eaKgObNjm7N1[ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b100110 + 0o111) + '\060', 8)]:
jrpEXfDZwQEA += ehT0Px3KOsy9('\060' + '\157' + chr(49), ord("\x08"))
if W4ulLqe9Mit5[jrpEXfDZwQEA][ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\060', 8)] > eaKgObNjm7N1[ehT0Px3KOsy9('\060' + chr(9874 - 9763) + chr(0b1 + 0o57), 8)]:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05Rz\x82\x95'), chr(0b1100100) + chr(101) + '\x63' + '\x6f' + '\x64' + chr(0b10 + 0o143))('\165' + '\164' + chr(102) + '\055' + chr(0b0 + 0o70)))(xafqLlk3kkUe(SXOLrMavuUCe(b'#V|\xd7\x9e\x01<\x03\xe2\xb0\xfb8\x06\xf1\x81\xc2\xa4C\x96\xf1\x1e\x9cU\x9c\x7f\x13\x17\xa3\xaa\x1a\xb0\xf2\x9c\x08\x0e\xea\x08?\x06\xb2\x07D}\x83\xd2\x041\x03\xfd\xb2\xb5"A\xbc\x8f\xc4\xe7_'), '\x64' + chr(101) + chr(99) + chr(5825 - 5714) + chr(0b110110 + 0o56) + '\145')('\165' + '\164' + chr(5738 - 5636) + '\x2d' + chr(1629 - 1573)))
jrpEXfDZwQEA -= ehT0Px3KOsy9(chr(1402 - 1354) + chr(111) + '\061', 8)
if W4ulLqe9Mit5[jrpEXfDZwQEA][ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)] != eaKgObNjm7N1[ehT0Px3KOsy9('\x30' + chr(111) + '\x30', 8)]:
EUdPatOS1wx0 = ehT0Px3KOsy9(chr(48) + '\157' + chr(1679 - 1630), 8)
WjkykCmrXkZ6 = jrpEXfDZwQEA
while WjkykCmrXkZ6 < c2A0yzQpDQB3(W4ulLqe9Mit5) and W4ulLqe9Mit5[WjkykCmrXkZ6][ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001), 8)] < eaKgObNjm7N1[ehT0Px3KOsy9('\060' + chr(0b111001 + 0o66) + chr(707 - 658), 8)]:
WjkykCmrXkZ6 += ehT0Px3KOsy9(chr(1994 - 1946) + '\x6f' + '\x31', 8)
if WjkykCmrXkZ6 == jrpEXfDZwQEA and W4ulLqe9Mit5[WjkykCmrXkZ6][ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(3379 - 3268) + chr(49), 8)] > eaKgObNjm7N1[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(2009 - 1960), 8)]:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05Rz\x82\x95'), chr(1143 - 1043) + chr(0b1100 + 0o131) + chr(6738 - 6639) + '\x6f' + chr(0b1100011 + 0o1) + '\145')('\x75' + '\164' + chr(0b1100110) + chr(690 - 645) + chr(56)))(xafqLlk3kkUe(SXOLrMavuUCe(b'#V|\xd7\x86\x0f5\x03\xe0\xb5\xe87\x15\xb8\x81\xde\xa4\x1a\xd9\xff\x15\x96\x1c\x89x\x01\r\xa9\xb0\x1a\xf9\xbd\x8a\x0f\x01\xbf\x08?\x04\xb5\x15Tp'), '\x64' + '\145' + '\143' + '\157' + chr(0b1100100) + '\145')(chr(0b10101 + 0o140) + chr(116) + chr(5210 - 5108) + chr(370 - 325) + '\070'))
elif W4ulLqe9Mit5[WjkykCmrXkZ6][ehT0Px3KOsy9('\060' + chr(0b1001011 + 0o44) + '\x31', 8)] > eaKgObNjm7N1[ehT0Px3KOsy9('\060' + '\x6f' + '\061', 8)]:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05Rz\x82\x95'), '\144' + '\145' + chr(99) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b10011 + 0o123) + chr(45) + chr(0b110110 + 0o2)))(xafqLlk3kkUe(SXOLrMavuUCe(b'#V|\xd7\x9e\x01<\x03\xe2\xb0\xfb8\x06\xf1\x81\xc2\xa4C\x96\xf1\x1e\x9cU\x9c\x7f\x13\x17\xa3\xaa\x1a\xb0\xf2\x8a\x12\x0b\xb8\x13y\x0f\xa7\x04C8\x93\x9d\x05-\x08\xa9\xa8\xb2;\x00\xa5\x8d\xd8'), chr(0b1010110 + 0o16) + chr(0b1100100 + 0o1) + chr(99) + chr(0b11001 + 0o126) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + chr(0b1001010 + 0o34) + chr(0b101101) + '\x38'))
if W4ulLqe9Mit5[WjkykCmrXkZ6][ehT0Px3KOsy9('\060' + chr(111) + chr(49), 8)] != eaKgObNjm7N1[ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8)]:
EUdPatOS1wx0 = ehT0Px3KOsy9(chr(2288 - 2240) + '\x6f' + chr(0b110001), 8)
return ((jrpEXfDZwQEA, WjkykCmrXkZ6), EUdPatOS1wx0)
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
find_valid_answer_spans
|
def find_valid_answer_spans(passage_tokens: List[Token],
answer_texts: List[str]) -> List[Tuple[int, int]]:
"""
Finds a list of token spans in ``passage_tokens`` that match the given ``answer_texts``. This
tries to find all spans that would evaluate to correct given the SQuAD and TriviaQA official
evaluation scripts, which do some normalization of the input text.
Note that this could return duplicate spans! The caller is expected to be able to handle
possible duplicates (as already happens in the SQuAD dev set, for instance).
"""
normalized_tokens = [token.text.lower().strip(STRIPPED_CHARACTERS) for token in passage_tokens]
# Because there could be many `answer_texts`, we'll do the most expensive pre-processing
# step once. This gives us a map from tokens to the position in the passage they appear.
word_positions: Dict[str, List[int]] = defaultdict(list)
for i, token in enumerate(normalized_tokens):
word_positions[token].append(i)
spans = []
for answer_text in answer_texts:
# For each answer, we'll first find all valid start positions in the passage. Then
# we'll grow each span to the same length as the number of answer tokens, and see if we
# have a match. We're a little tricky as we grow the span, skipping words that are
# already pruned from the normalized answer text, and stopping early if we don't match.
answer_tokens = answer_text.lower().strip(STRIPPED_CHARACTERS).split()
num_answer_tokens = len(answer_tokens)
for span_start in word_positions[answer_tokens[0]]:
span_end = span_start # span_end is _inclusive_
answer_index = 1
while answer_index < num_answer_tokens and span_end + 1 < len(normalized_tokens):
token = normalized_tokens[span_end + 1]
if answer_tokens[answer_index] == token:
answer_index += 1
span_end += 1
elif token in IGNORED_TOKENS:
span_end += 1
else:
break
if num_answer_tokens == answer_index:
spans.append((span_start, span_end))
return spans
|
python
|
def find_valid_answer_spans(passage_tokens: List[Token],
answer_texts: List[str]) -> List[Tuple[int, int]]:
"""
Finds a list of token spans in ``passage_tokens`` that match the given ``answer_texts``. This
tries to find all spans that would evaluate to correct given the SQuAD and TriviaQA official
evaluation scripts, which do some normalization of the input text.
Note that this could return duplicate spans! The caller is expected to be able to handle
possible duplicates (as already happens in the SQuAD dev set, for instance).
"""
normalized_tokens = [token.text.lower().strip(STRIPPED_CHARACTERS) for token in passage_tokens]
# Because there could be many `answer_texts`, we'll do the most expensive pre-processing
# step once. This gives us a map from tokens to the position in the passage they appear.
word_positions: Dict[str, List[int]] = defaultdict(list)
for i, token in enumerate(normalized_tokens):
word_positions[token].append(i)
spans = []
for answer_text in answer_texts:
# For each answer, we'll first find all valid start positions in the passage. Then
# we'll grow each span to the same length as the number of answer tokens, and see if we
# have a match. We're a little tricky as we grow the span, skipping words that are
# already pruned from the normalized answer text, and stopping early if we don't match.
answer_tokens = answer_text.lower().strip(STRIPPED_CHARACTERS).split()
num_answer_tokens = len(answer_tokens)
for span_start in word_positions[answer_tokens[0]]:
span_end = span_start # span_end is _inclusive_
answer_index = 1
while answer_index < num_answer_tokens and span_end + 1 < len(normalized_tokens):
token = normalized_tokens[span_end + 1]
if answer_tokens[answer_index] == token:
answer_index += 1
span_end += 1
elif token in IGNORED_TOKENS:
span_end += 1
else:
break
if num_answer_tokens == answer_index:
spans.append((span_start, span_end))
return spans
|
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] |
Finds a list of token spans in ``passage_tokens`` that match the given ``answer_texts``. This
tries to find all spans that would evaluate to correct given the SQuAD and TriviaQA official
evaluation scripts, which do some normalization of the input text.
Note that this could return duplicate spans! The caller is expected to be able to handle
possible duplicates (as already happens in the SQuAD dev set, for instance).
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L97-L135
|
train
|
Finds a list of token spans in passage_tokens that match the given answer_texts.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + '\x33' + chr(1845 - 1794), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + '\x35' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + '\x33' + '\064' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o32) + '\060' + '\064', 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + '\x36' + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\x30' + chr(1552 - 1498), 32928 - 32920), ehT0Px3KOsy9(chr(739 - 691) + '\x6f' + chr(2258 - 2209) + chr(51) + chr(2695 - 2643), 0o10), ehT0Px3KOsy9('\x30' + chr(6595 - 6484) + '\x31' + chr(0b110100) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100 + 0o56) + chr(0b110100) + chr(48), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b10000 + 0o46) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(111) + '\065' + chr(0b1000 + 0o57), 36129 - 36121), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b10000 + 0o42) + chr(0b110001) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(3777 - 3666) + chr(51) + chr(0b101011 + 0o13), ord("\x08")), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + '\x31' + chr(53) + '\067', 0b1000), ehT0Px3KOsy9(chr(1278 - 1230) + chr(111) + '\063' + chr(0b110110) + chr(0b110 + 0o55), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(749 - 700) + '\065' + chr(53), 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + '\157' + chr(0b110001) + chr(2412 - 2360) + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110011) + chr(0b100111 + 0o14) + chr(0b110000), 8709 - 8701), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(4716 - 4605) + '\x32' + chr(0b10010 + 0o45) + '\066', 0o10), ehT0Px3KOsy9(chr(1715 - 1667) + chr(4334 - 4223) + chr(66 - 15) + chr(0b110111) + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + '\066' + chr(1884 - 1833), 0b1000), ehT0Px3KOsy9('\060' + '\157' + chr(49) + chr(0b110111) + chr(0b101010 + 0o7), 50396 - 50388), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2491 - 2440) + '\x35' + chr(0b11000 + 0o35), 637 - 629), ehT0Px3KOsy9(chr(845 - 797) + '\157' + chr(51) + chr(604 - 556) + '\062', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x34' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(51) + chr(0b11110 + 0o31) + chr(0b110101), 44760 - 44752), ehT0Px3KOsy9(chr(2248 - 2200) + chr(111) + chr(51) + chr(1765 - 1713) + '\x36', ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(0b100101 + 0o14) + chr(0b110010), 29899 - 29891), ehT0Px3KOsy9(chr(394 - 346) + chr(0b1001100 + 0o43) + '\061' + chr(0b101110 + 0o6) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1153 - 1105) + chr(0b1101111) + '\x33' + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(7890 - 7779) + chr(0b100010 + 0o21) + chr(52) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1011 + 0o144) + chr(1853 - 1800) + '\x37', 8), ehT0Px3KOsy9('\060' + chr(111) + '\x31' + '\x33' + '\x33', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1000110 + 0o51) + chr(0b110011) + chr(1609 - 1558) + chr(48), 8), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b1010010 + 0o35) + '\061' + chr(0b110111) + '\064', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + '\067', 53263 - 53255), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b10001 + 0o40) + chr(2275 - 2226) + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(1001 - 890) + chr(50) + chr(0b110111) + chr(0b110010 + 0o2), 12930 - 12922), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b100110 + 0o13) + '\x34' + chr(0b110001), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(1308 - 1260) + chr(111) + chr(0b110010 + 0o3) + '\060', 64480 - 64472)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'5'), '\x64' + chr(0b1001100 + 0o31) + chr(0b1100011) + '\157' + chr(0b1100100) + chr(0b1100101))(chr(7727 - 7610) + '\x74' + chr(0b101100 + 0o72) + '\x2d' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def W8On4Qsa8jWx(G5DiCHakuupP, zMl0ipK0tYea) -> qRxF7OQ0y39T[MRK8Uzg2En3D[ehT0Px3KOsy9, ehT0Px3KOsy9]]:
qoeLlP0eHdWg = [mTy3fac_AqJ5.text.lower().strip(r8tsfoTkseiV) for mTy3fac_AqJ5 in G5DiCHakuupP]
dWhlPDZ9ZemT = rLgqW9imlCdX(YyaZ4tpXu4lf)
for (WVxHKyX45z_L, mTy3fac_AqJ5) in YlkZvXL8qwsX(qoeLlP0eHdWg):
xafqLlk3kkUe(dWhlPDZ9ZemT[mTy3fac_AqJ5], xafqLlk3kkUe(SXOLrMavuUCe(b'z\x1d\x97\xa1_"'), chr(0b111 + 0o135) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(100) + '\x65')(chr(0b1110101) + chr(0b1110100) + chr(0b1010101 + 0o21) + chr(0b11001 + 0o24) + chr(0b1100 + 0o54)))(WVxHKyX45z_L)
aPSH2X7oF0wS = []
for BPGA4eIvPpcn in zMl0ipK0tYea:
T8ynjhL4YNnY = BPGA4eIvPpcn.lower().strip(r8tsfoTkseiV).split()
q3XZMw2zLu3S = c2A0yzQpDQB3(T8ynjhL4YNnY)
for CGzUSvlyKBQD in dWhlPDZ9ZemT[T8ynjhL4YNnY[ehT0Px3KOsy9(chr(1938 - 1890) + chr(0b1101111) + chr(0b101001 + 0o7), 0b1000)]]:
b5O2oQPg9Xzq = CGzUSvlyKBQD
OU8xOysdp8GD = ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49), 5022 - 5014)
while OU8xOysdp8GD < q3XZMw2zLu3S and b5O2oQPg9Xzq + ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(1967 - 1918), 8) < c2A0yzQpDQB3(qoeLlP0eHdWg):
mTy3fac_AqJ5 = qoeLlP0eHdWg[b5O2oQPg9Xzq + ehT0Px3KOsy9(chr(2060 - 2012) + chr(0b1101 + 0o142) + chr(0b100100 + 0o15), 8)]
if T8ynjhL4YNnY[OU8xOysdp8GD] == mTy3fac_AqJ5:
OU8xOysdp8GD += ehT0Px3KOsy9(chr(48) + chr(9533 - 9422) + '\061', 8)
b5O2oQPg9Xzq += ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 8)
elif mTy3fac_AqJ5 in n7anaSAgIlFL:
b5O2oQPg9Xzq += ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110001), 8)
else:
break
if q3XZMw2zLu3S == OU8xOysdp8GD:
xafqLlk3kkUe(aPSH2X7oF0wS, xafqLlk3kkUe(SXOLrMavuUCe(b'z\x1d\x97\xa1_"'), '\x64' + chr(0b1100101) + chr(0b1010 + 0o131) + chr(0b1101111) + '\x64' + chr(7170 - 7069))(chr(117) + chr(0b1110100) + '\x66' + chr(0b101101) + chr(0b111000)))((CGzUSvlyKBQD, b5O2oQPg9Xzq))
return aPSH2X7oF0wS
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
make_reading_comprehension_instance
|
def make_reading_comprehension_instance(question_tokens: List[Token],
passage_tokens: List[Token],
token_indexers: Dict[str, TokenIndexer],
passage_text: str,
token_spans: List[Tuple[int, int]] = None,
answer_texts: List[str] = None,
additional_metadata: Dict[str, Any] = None) -> Instance:
"""
Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_tokens : ``List[Token]``
An already-tokenized question.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_spans : ``List[Tuple[int, int]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list because there might be several possible correct answer spans in the passage.
Currently, we just select the most frequent span in this list (i.e., SQuAD has multiple
annotations on the dev set; this will select the span that the most annotators gave as
correct).
answer_texts : ``List[str]``, optional
All valid answer strings for the given question. In SQuAD, e.g., the training set has
exactly one answer per question, but the dev and test sets have several. TriviaQA has many
possible answers, which are the aliases for the known correct entity. This is put into the
metadata for use with official evaluation scripts, but not used anywhere else.
additional_metadata : ``Dict[str, Any]``, optional
The constructed ``metadata`` field will by default contain ``original_passage``,
``token_offsets``, ``question_tokens``, ``passage_tokens``, and ``answer_texts`` keys. If
you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
"""
additional_metadata = additional_metadata or {}
fields: Dict[str, Field] = {}
passage_offsets = [(token.idx, token.idx + len(token.text)) for token in passage_tokens]
# This is separate so we can reference it later with a known type.
passage_field = TextField(passage_tokens, token_indexers)
fields['passage'] = passage_field
fields['question'] = TextField(question_tokens, token_indexers)
metadata = {'original_passage': passage_text, 'token_offsets': passage_offsets,
'question_tokens': [token.text for token in question_tokens],
'passage_tokens': [token.text for token in passage_tokens], }
if answer_texts:
metadata['answer_texts'] = answer_texts
if token_spans:
# There may be multiple answer annotations, so we pick the one that occurs the most. This
# only matters on the SQuAD dev set, and it means our computed metrics ("start_acc",
# "end_acc", and "span_acc") aren't quite the same as the official metrics, which look at
# all of the annotations. This is why we have a separate official SQuAD metric calculation
# (the "em" and "f1" metrics use the official script).
candidate_answers: Counter = Counter()
for span_start, span_end in token_spans:
candidate_answers[(span_start, span_end)] += 1
span_start, span_end = candidate_answers.most_common(1)[0][0]
fields['span_start'] = IndexField(span_start, passage_field)
fields['span_end'] = IndexField(span_end, passage_field)
metadata.update(additional_metadata)
fields['metadata'] = MetadataField(metadata)
return Instance(fields)
|
python
|
def make_reading_comprehension_instance(question_tokens: List[Token],
passage_tokens: List[Token],
token_indexers: Dict[str, TokenIndexer],
passage_text: str,
token_spans: List[Tuple[int, int]] = None,
answer_texts: List[str] = None,
additional_metadata: Dict[str, Any] = None) -> Instance:
"""
Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_tokens : ``List[Token]``
An already-tokenized question.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_spans : ``List[Tuple[int, int]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list because there might be several possible correct answer spans in the passage.
Currently, we just select the most frequent span in this list (i.e., SQuAD has multiple
annotations on the dev set; this will select the span that the most annotators gave as
correct).
answer_texts : ``List[str]``, optional
All valid answer strings for the given question. In SQuAD, e.g., the training set has
exactly one answer per question, but the dev and test sets have several. TriviaQA has many
possible answers, which are the aliases for the known correct entity. This is put into the
metadata for use with official evaluation scripts, but not used anywhere else.
additional_metadata : ``Dict[str, Any]``, optional
The constructed ``metadata`` field will by default contain ``original_passage``,
``token_offsets``, ``question_tokens``, ``passage_tokens``, and ``answer_texts`` keys. If
you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
"""
additional_metadata = additional_metadata or {}
fields: Dict[str, Field] = {}
passage_offsets = [(token.idx, token.idx + len(token.text)) for token in passage_tokens]
# This is separate so we can reference it later with a known type.
passage_field = TextField(passage_tokens, token_indexers)
fields['passage'] = passage_field
fields['question'] = TextField(question_tokens, token_indexers)
metadata = {'original_passage': passage_text, 'token_offsets': passage_offsets,
'question_tokens': [token.text for token in question_tokens],
'passage_tokens': [token.text for token in passage_tokens], }
if answer_texts:
metadata['answer_texts'] = answer_texts
if token_spans:
# There may be multiple answer annotations, so we pick the one that occurs the most. This
# only matters on the SQuAD dev set, and it means our computed metrics ("start_acc",
# "end_acc", and "span_acc") aren't quite the same as the official metrics, which look at
# all of the annotations. This is why we have a separate official SQuAD metric calculation
# (the "em" and "f1" metrics use the official script).
candidate_answers: Counter = Counter()
for span_start, span_end in token_spans:
candidate_answers[(span_start, span_end)] += 1
span_start, span_end = candidate_answers.most_common(1)[0][0]
fields['span_start'] = IndexField(span_start, passage_field)
fields['span_end'] = IndexField(span_end, passage_field)
metadata.update(additional_metadata)
fields['metadata'] = MetadataField(metadata)
return Instance(fields)
|
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Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_tokens : ``List[Token]``
An already-tokenized question.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_spans : ``List[Tuple[int, int]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list because there might be several possible correct answer spans in the passage.
Currently, we just select the most frequent span in this list (i.e., SQuAD has multiple
annotations on the dev set; this will select the span that the most annotators gave as
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answer_texts : ``List[str]``, optional
All valid answer strings for the given question. In SQuAD, e.g., the training set has
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possible answers, which are the aliases for the known correct entity. This is put into the
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The constructed ``metadata`` field will by default contain ``original_passage``,
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you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L138-L214
|
train
|
Converts a list of tokens into a reading comprehension instance.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b110001) + '\063' + chr(2094 - 2039), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110111) + chr(223 - 172), 0o10), ehT0Px3KOsy9(chr(664 - 616) + chr(0b1010 + 0o145) + chr(50) + chr(0b110100) + '\060', 52401 - 52393), ehT0Px3KOsy9(chr(0b110000) + chr(3697 - 3586) + chr(0b1111 + 0o46) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(54) + chr(0b110010 + 0o5), 41871 - 41863), ehT0Px3KOsy9('\x30' + '\157' + chr(0b1000 + 0o53) + chr(48) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + chr(51) + chr(0b10100 + 0o40) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110011) + chr(55) + chr(0b11010 + 0o27), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x32' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(1206 - 1095) + '\062' + chr(48) + '\x37', 0b1000), ehT0Px3KOsy9(chr(691 - 643) + chr(0b101011 + 0o104) + chr(52) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061' + '\063' + chr(302 - 250), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + '\062' + chr(0b110011), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(2256 - 2206) + '\x30' + chr(0b101001 + 0o16), 8), ehT0Px3KOsy9(chr(469 - 421) + chr(2162 - 2051) + chr(0b110001) + chr(0b100001 + 0o20) + chr(0b1011 + 0o47), 65447 - 65439), ehT0Px3KOsy9(chr(0b110 + 0o52) + chr(0b1101111) + chr(2379 - 2327) + '\064', 0o10), ehT0Px3KOsy9(chr(1972 - 1924) + chr(0b1101111) + chr(49) + chr(363 - 312) + chr(2258 - 2205), 40717 - 40709), ehT0Px3KOsy9(chr(51 - 3) + chr(0b1101111) + chr(49) + '\067' + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(471 - 423) + '\157' + chr(0b1101 + 0o46) + chr(0b1 + 0o57) + chr(2120 - 2072), 16514 - 16506), ehT0Px3KOsy9('\060' + '\x6f' + chr(51) + chr(0b110001 + 0o0) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + '\064', 0o10), ehT0Px3KOsy9(chr(474 - 426) + chr(0b1101000 + 0o7) + chr(0b110010) + chr(0b110100) + '\x30', 8), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\062' + chr(0b100100 + 0o14) + '\067', 8), ehT0Px3KOsy9('\060' + chr(0b1011111 + 0o20) + chr(49) + chr(53) + chr(428 - 374), 1500 - 1492), ehT0Px3KOsy9('\x30' + chr(0b1100110 + 0o11) + '\x37' + chr(0b110110), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110001) + chr(49) + chr(53), 12221 - 12213), ehT0Px3KOsy9(chr(0b110000) + chr(0b1000111 + 0o50) + chr(0b110001) + chr(2364 - 2312) + '\x32', 4338 - 4330), ehT0Px3KOsy9(chr(226 - 178) + chr(0b1101111) + '\062' + chr(52) + chr(1408 - 1356), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100010 + 0o25) + '\062', 47777 - 47769), ehT0Px3KOsy9(chr(574 - 526) + chr(0b1101111) + '\062' + chr(0b1110 + 0o42) + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x31' + '\065', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(9438 - 9327) + chr(0b101 + 0o55) + chr(349 - 300) + '\x35', 8), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(136 - 82) + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062' + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9(chr(715 - 667) + '\157' + chr(2461 - 2411) + chr(0b101101 + 0o12), 40354 - 40346), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(49) + '\064' + chr(429 - 375), 0o10), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(111) + '\x32' + chr(49), 87 - 79), ehT0Px3KOsy9(chr(48) + '\157' + chr(54) + '\x33', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(55) + chr(1615 - 1562), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(910 - 860) + '\x34' + chr(49), 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + chr(233 - 180) + '\x30', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'q'), chr(0b1100100) + chr(0b1001101 + 0o30) + '\143' + chr(111) + chr(0b100101 + 0o77) + chr(5477 - 5376))(chr(0b101 + 0o160) + chr(8478 - 8362) + chr(102) + chr(81 - 36) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZaV3lPYDvaZX(yHVya2HrNXZM, G5DiCHakuupP, HhKJnSagy0bW, o23UUTrQniSz, CFtm_LgpLjy0=None, zMl0ipK0tYea=None, aVcqhET1qeNF=None) -> _jFYXBmhzM0H:
aVcqhET1qeNF = aVcqhET1qeNF or {}
_yavFU6VJ0wY = {}
QVc0DMim8Z90 = [(mTy3fac_AqJ5.YlqusYB6InkM, mTy3fac_AqJ5.YlqusYB6InkM + c2A0yzQpDQB3(mTy3fac_AqJ5.Ah1rInvg48Hb)) for mTy3fac_AqJ5 in G5DiCHakuupP]
dUeGDvbfM9fr = OnNQjiI53xqc(G5DiCHakuupP, HhKJnSagy0bW)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'/Z\xd3YV\xa2\x83'), chr(100) + '\145' + '\x63' + chr(0b1101111) + chr(100) + chr(0b1100101))(chr(1150 - 1033) + '\x74' + chr(9073 - 8971) + chr(45) + chr(0b110010 + 0o6))] = dUeGDvbfM9fr
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'.N\xc5YC\xac\x89\x97'), chr(0b1000111 + 0o35) + '\x65' + chr(99) + '\x6f' + chr(0b0 + 0o144) + chr(9778 - 9677))(chr(0b10000 + 0o145) + '\x74' + chr(0b1001010 + 0o34) + chr(543 - 498) + chr(56))] = OnNQjiI53xqc(yHVya2HrNXZM, HhKJnSagy0bW)
mU7wOAGoTnlM = {xafqLlk3kkUe(SXOLrMavuUCe(b'0I\xc9M^\xab\x87\x95\xc9\xf7F/`\xe6-A'), '\x64' + chr(0b1100101) + chr(99) + chr(111) + chr(0b110001 + 0o63) + chr(0b111111 + 0o46))(chr(0b1110 + 0o147) + '\x74' + '\x66' + chr(45) + chr(0b100100 + 0o24)): o23UUTrQniSz, xafqLlk3kkUe(SXOLrMavuUCe(b'+T\xcbOY\x9a\x89\x9f\xf0\xf4B(`'), chr(0b1000000 + 0o44) + chr(0b1100101) + chr(99) + chr(0b11100 + 0o123) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b1100110) + '\x2d' + chr(0b11 + 0o65)): QVc0DMim8Z90, xafqLlk3kkUe(SXOLrMavuUCe(b'.N\xc5YC\xac\x89\x97\xc9\xf3H7v\xe99'), chr(100) + chr(0b110010 + 0o63) + chr(0b1100011) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(0b1010101 + 0o40) + chr(0b1011001 + 0o33) + chr(102) + '\x2d' + chr(0b1010 + 0o56)): [mTy3fac_AqJ5.Ah1rInvg48Hb for mTy3fac_AqJ5 in yHVya2HrNXZM], xafqLlk3kkUe(SXOLrMavuUCe(b'/Z\xd3YV\xa2\x83\xa6\xe2\xe8L9}\xf4'), chr(0b111111 + 0o45) + '\x65' + chr(0b111110 + 0o45) + chr(0b101101 + 0o102) + chr(0b1000000 + 0o44) + '\145')(chr(13118 - 13001) + '\x74' + '\146' + chr(405 - 360) + chr(0b111000)): [mTy3fac_AqJ5.Ah1rInvg48Hb for mTy3fac_AqJ5 in G5DiCHakuupP]}
if zMl0ipK0tYea:
mU7wOAGoTnlM[xafqLlk3kkUe(SXOLrMavuUCe(b'>U\xd3]R\xb7\xb9\x8d\xf3\xffS/'), '\x64' + '\145' + chr(99) + '\x6f' + '\x64' + chr(4387 - 4286))(chr(117) + chr(3236 - 3120) + chr(0b1100110) + '\055' + chr(1566 - 1510))] = zMl0ipK0tYea
if CFtm_LgpLjy0:
Gyu2eoK4DUN0 = T75YCkBBa7BE()
for (CGzUSvlyKBQD, b5O2oQPg9Xzq) in CFtm_LgpLjy0:
Gyu2eoK4DUN0[CGzUSvlyKBQD, b5O2oQPg9Xzq] += ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31', 0o10)
(CGzUSvlyKBQD, b5O2oQPg9Xzq) = Gyu2eoK4DUN0.most_common(ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1040 - 991), 8))[ehT0Px3KOsy9(chr(48) + '\x6f' + chr(48), 0o10)][ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(111) + chr(0b110000), 8)]
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b',K\xc1Dh\xb6\x92\x98\xe4\xf3'), chr(892 - 792) + chr(1552 - 1451) + '\x63' + chr(0b1101111) + chr(8844 - 8744) + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(936 - 891) + chr(0b101110 + 0o12))] = t7JPS4qvikx6(CGzUSvlyKBQD, dUeGDvbfM9fr)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b',K\xc1Dh\xa0\x88\x9d'), chr(100) + chr(7615 - 7514) + chr(0b1000011 + 0o40) + chr(0b1101111) + chr(3027 - 2927) + chr(101))(chr(9106 - 8989) + chr(12151 - 12035) + chr(102) + '\x2d' + '\x38')] = t7JPS4qvikx6(b5O2oQPg9Xzq, dUeGDvbfM9fr)
xafqLlk3kkUe(mU7wOAGoTnlM, xafqLlk3kkUe(SXOLrMavuUCe(b'\x05O\xe1o^\x8b\xac\x97\xef\xb3Bl'), '\144' + '\145' + chr(0b0 + 0o143) + chr(0b1101111) + chr(0b1001 + 0o133) + chr(0b1100101))('\x75' + chr(0b1110100) + '\x66' + '\x2d' + chr(0b111000)))(aVcqhET1qeNF)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'2^\xd4KS\xa4\x92\x98'), chr(100) + chr(0b1100101) + chr(99) + chr(4393 - 4282) + '\144' + chr(1590 - 1489))(chr(117) + '\164' + chr(102) + '\x2d' + chr(1530 - 1474))] = t6SYWO6Og436(mU7wOAGoTnlM)
return _jFYXBmhzM0H(_yavFU6VJ0wY)
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
make_reading_comprehension_instance_quac
|
def make_reading_comprehension_instance_quac(question_list_tokens: List[List[Token]],
passage_tokens: List[Token],
token_indexers: Dict[str, TokenIndexer],
passage_text: str,
token_span_lists: List[List[Tuple[int, int]]] = None,
yesno_list: List[int] = None,
followup_list: List[int] = None,
additional_metadata: Dict[str, Any] = None,
num_context_answers: int = 0) -> Instance:
"""
Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_list_tokens : ``List[List[Token]]``
An already-tokenized list of questions. Each dialog have multiple questions.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_span_lists : ``List[List[Tuple[int, int]]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list of list, first because there is multiple questions per dialog, and
because there might be several possible correct answer spans in the passage.
Currently, we just select the last span in this list (i.e., QuAC has multiple
annotations on the dev set; this will select the last span, which was given by the original annotator).
yesno_list : ``List[int]``
List of the affirmation bit for each question answer pairs.
followup_list : ``List[int]``
List of the continuation bit for each question answer pairs.
num_context_answers : ``int``, optional
How many answers to encode into the passage.
additional_metadata : ``Dict[str, Any]``, optional
The constructed ``metadata`` field will by default contain ``original_passage``,
``token_offsets``, ``question_tokens``, ``passage_tokens``, and ``answer_texts`` keys. If
you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
"""
additional_metadata = additional_metadata or {}
fields: Dict[str, Field] = {}
passage_offsets = [(token.idx, token.idx + len(token.text)) for token in passage_tokens]
# This is separate so we can reference it later with a known type.
passage_field = TextField(passage_tokens, token_indexers)
fields['passage'] = passage_field
fields['question'] = ListField([TextField(q_tokens, token_indexers) for q_tokens in question_list_tokens])
metadata = {'original_passage': passage_text,
'token_offsets': passage_offsets,
'question_tokens': [[token.text for token in question_tokens] \
for question_tokens in question_list_tokens],
'passage_tokens': [token.text for token in passage_tokens], }
p1_answer_marker_list: List[Field] = []
p2_answer_marker_list: List[Field] = []
p3_answer_marker_list: List[Field] = []
def get_tag(i, i_name):
# Generate a tag to mark previous answer span in the passage.
return "<{0:d}_{1:s}>".format(i, i_name)
def mark_tag(span_start, span_end, passage_tags, prev_answer_distance):
try:
assert span_start >= 0
assert span_end >= 0
except:
raise ValueError("Previous {0:d}th answer span should have been updated!".format(prev_answer_distance))
# Modify "tags" to mark previous answer span.
if span_start == span_end:
passage_tags[prev_answer_distance][span_start] = get_tag(prev_answer_distance, "")
else:
passage_tags[prev_answer_distance][span_start] = get_tag(prev_answer_distance, "start")
passage_tags[prev_answer_distance][span_end] = get_tag(prev_answer_distance, "end")
for passage_index in range(span_start + 1, span_end):
passage_tags[prev_answer_distance][passage_index] = get_tag(prev_answer_distance, "in")
if token_span_lists:
span_start_list: List[Field] = []
span_end_list: List[Field] = []
p1_span_start, p1_span_end, p2_span_start = -1, -1, -1
p2_span_end, p3_span_start, p3_span_end = -1, -1, -1
# Looping each <<answers>>.
for question_index, answer_span_lists in enumerate(token_span_lists):
span_start, span_end = answer_span_lists[-1] # Last one is the original answer
span_start_list.append(IndexField(span_start, passage_field))
span_end_list.append(IndexField(span_end, passage_field))
prev_answer_marker_lists = [["O"] * len(passage_tokens), ["O"] * len(passage_tokens),
["O"] * len(passage_tokens), ["O"] * len(passage_tokens)]
if question_index > 0 and num_context_answers > 0:
mark_tag(p1_span_start, p1_span_end, prev_answer_marker_lists, 1)
if question_index > 1 and num_context_answers > 1:
mark_tag(p2_span_start, p2_span_end, prev_answer_marker_lists, 2)
if question_index > 2 and num_context_answers > 2:
mark_tag(p3_span_start, p3_span_end, prev_answer_marker_lists, 3)
p3_span_start = p2_span_start
p3_span_end = p2_span_end
p2_span_start = p1_span_start
p2_span_end = p1_span_end
p1_span_start = span_start
p1_span_end = span_end
if num_context_answers > 2:
p3_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[3],
passage_field,
label_namespace="answer_tags"))
if num_context_answers > 1:
p2_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[2],
passage_field,
label_namespace="answer_tags"))
if num_context_answers > 0:
p1_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[1],
passage_field,
label_namespace="answer_tags"))
fields['span_start'] = ListField(span_start_list)
fields['span_end'] = ListField(span_end_list)
if num_context_answers > 0:
fields['p1_answer_marker'] = ListField(p1_answer_marker_list)
if num_context_answers > 1:
fields['p2_answer_marker'] = ListField(p2_answer_marker_list)
if num_context_answers > 2:
fields['p3_answer_marker'] = ListField(p3_answer_marker_list)
fields['yesno_list'] = ListField( \
[LabelField(yesno, label_namespace="yesno_labels") for yesno in yesno_list])
fields['followup_list'] = ListField([LabelField(followup, label_namespace="followup_labels") \
for followup in followup_list])
metadata.update(additional_metadata)
fields['metadata'] = MetadataField(metadata)
return Instance(fields)
|
python
|
def make_reading_comprehension_instance_quac(question_list_tokens: List[List[Token]],
passage_tokens: List[Token],
token_indexers: Dict[str, TokenIndexer],
passage_text: str,
token_span_lists: List[List[Tuple[int, int]]] = None,
yesno_list: List[int] = None,
followup_list: List[int] = None,
additional_metadata: Dict[str, Any] = None,
num_context_answers: int = 0) -> Instance:
"""
Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_list_tokens : ``List[List[Token]]``
An already-tokenized list of questions. Each dialog have multiple questions.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_span_lists : ``List[List[Tuple[int, int]]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list of list, first because there is multiple questions per dialog, and
because there might be several possible correct answer spans in the passage.
Currently, we just select the last span in this list (i.e., QuAC has multiple
annotations on the dev set; this will select the last span, which was given by the original annotator).
yesno_list : ``List[int]``
List of the affirmation bit for each question answer pairs.
followup_list : ``List[int]``
List of the continuation bit for each question answer pairs.
num_context_answers : ``int``, optional
How many answers to encode into the passage.
additional_metadata : ``Dict[str, Any]``, optional
The constructed ``metadata`` field will by default contain ``original_passage``,
``token_offsets``, ``question_tokens``, ``passage_tokens``, and ``answer_texts`` keys. If
you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
"""
additional_metadata = additional_metadata or {}
fields: Dict[str, Field] = {}
passage_offsets = [(token.idx, token.idx + len(token.text)) for token in passage_tokens]
# This is separate so we can reference it later with a known type.
passage_field = TextField(passage_tokens, token_indexers)
fields['passage'] = passage_field
fields['question'] = ListField([TextField(q_tokens, token_indexers) for q_tokens in question_list_tokens])
metadata = {'original_passage': passage_text,
'token_offsets': passage_offsets,
'question_tokens': [[token.text for token in question_tokens] \
for question_tokens in question_list_tokens],
'passage_tokens': [token.text for token in passage_tokens], }
p1_answer_marker_list: List[Field] = []
p2_answer_marker_list: List[Field] = []
p3_answer_marker_list: List[Field] = []
def get_tag(i, i_name):
# Generate a tag to mark previous answer span in the passage.
return "<{0:d}_{1:s}>".format(i, i_name)
def mark_tag(span_start, span_end, passage_tags, prev_answer_distance):
try:
assert span_start >= 0
assert span_end >= 0
except:
raise ValueError("Previous {0:d}th answer span should have been updated!".format(prev_answer_distance))
# Modify "tags" to mark previous answer span.
if span_start == span_end:
passage_tags[prev_answer_distance][span_start] = get_tag(prev_answer_distance, "")
else:
passage_tags[prev_answer_distance][span_start] = get_tag(prev_answer_distance, "start")
passage_tags[prev_answer_distance][span_end] = get_tag(prev_answer_distance, "end")
for passage_index in range(span_start + 1, span_end):
passage_tags[prev_answer_distance][passage_index] = get_tag(prev_answer_distance, "in")
if token_span_lists:
span_start_list: List[Field] = []
span_end_list: List[Field] = []
p1_span_start, p1_span_end, p2_span_start = -1, -1, -1
p2_span_end, p3_span_start, p3_span_end = -1, -1, -1
# Looping each <<answers>>.
for question_index, answer_span_lists in enumerate(token_span_lists):
span_start, span_end = answer_span_lists[-1] # Last one is the original answer
span_start_list.append(IndexField(span_start, passage_field))
span_end_list.append(IndexField(span_end, passage_field))
prev_answer_marker_lists = [["O"] * len(passage_tokens), ["O"] * len(passage_tokens),
["O"] * len(passage_tokens), ["O"] * len(passage_tokens)]
if question_index > 0 and num_context_answers > 0:
mark_tag(p1_span_start, p1_span_end, prev_answer_marker_lists, 1)
if question_index > 1 and num_context_answers > 1:
mark_tag(p2_span_start, p2_span_end, prev_answer_marker_lists, 2)
if question_index > 2 and num_context_answers > 2:
mark_tag(p3_span_start, p3_span_end, prev_answer_marker_lists, 3)
p3_span_start = p2_span_start
p3_span_end = p2_span_end
p2_span_start = p1_span_start
p2_span_end = p1_span_end
p1_span_start = span_start
p1_span_end = span_end
if num_context_answers > 2:
p3_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[3],
passage_field,
label_namespace="answer_tags"))
if num_context_answers > 1:
p2_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[2],
passage_field,
label_namespace="answer_tags"))
if num_context_answers > 0:
p1_answer_marker_list.append(SequenceLabelField(prev_answer_marker_lists[1],
passage_field,
label_namespace="answer_tags"))
fields['span_start'] = ListField(span_start_list)
fields['span_end'] = ListField(span_end_list)
if num_context_answers > 0:
fields['p1_answer_marker'] = ListField(p1_answer_marker_list)
if num_context_answers > 1:
fields['p2_answer_marker'] = ListField(p2_answer_marker_list)
if num_context_answers > 2:
fields['p3_answer_marker'] = ListField(p3_answer_marker_list)
fields['yesno_list'] = ListField( \
[LabelField(yesno, label_namespace="yesno_labels") for yesno in yesno_list])
fields['followup_list'] = ListField([LabelField(followup, label_namespace="followup_labels") \
for followup in followup_list])
metadata.update(additional_metadata)
fields['metadata'] = MetadataField(metadata)
return Instance(fields)
|
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] |
Converts a question, a passage, and an optional answer (or answers) to an ``Instance`` for use
in a reading comprehension model.
Creates an ``Instance`` with at least these fields: ``question`` and ``passage``, both
``TextFields``; and ``metadata``, a ``MetadataField``. Additionally, if both ``answer_texts``
and ``char_span_starts`` are given, the ``Instance`` has ``span_start`` and ``span_end``
fields, which are both ``IndexFields``.
Parameters
----------
question_list_tokens : ``List[List[Token]]``
An already-tokenized list of questions. Each dialog have multiple questions.
passage_tokens : ``List[Token]``
An already-tokenized passage that contains the answer to the given question.
token_indexers : ``Dict[str, TokenIndexer]``
Determines how the question and passage ``TextFields`` will be converted into tensors that
get input to a model. See :class:`TokenIndexer`.
passage_text : ``str``
The original passage text. We need this so that we can recover the actual span from the
original passage that the model predicts as the answer to the question. This is used in
official evaluation scripts.
token_span_lists : ``List[List[Tuple[int, int]]]``, optional
Indices into ``passage_tokens`` to use as the answer to the question for training. This is
a list of list, first because there is multiple questions per dialog, and
because there might be several possible correct answer spans in the passage.
Currently, we just select the last span in this list (i.e., QuAC has multiple
annotations on the dev set; this will select the last span, which was given by the original annotator).
yesno_list : ``List[int]``
List of the affirmation bit for each question answer pairs.
followup_list : ``List[int]``
List of the continuation bit for each question answer pairs.
num_context_answers : ``int``, optional
How many answers to encode into the passage.
additional_metadata : ``Dict[str, Any]``, optional
The constructed ``metadata`` field will by default contain ``original_passage``,
``token_offsets``, ``question_tokens``, ``passage_tokens``, and ``answer_texts`` keys. If
you want any other metadata to be associated with each instance, you can pass that in here.
This dictionary will get added to the ``metadata`` dictionary we already construct.
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L217-L351
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train
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Creates a reading comprehension instance from a list of questions passages and answers.
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Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + chr(8934 - 8823) + '\061' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o57) + chr(0b101111 + 0o10), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(51) + '\064' + '\x30', 33814 - 33806), ehT0Px3KOsy9(chr(48) + '\157' + '\061' + '\063' + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(50) + '\x35' + chr(52), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(51) + '\x37' + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100000 + 0o17) + '\x34' + chr(753 - 704), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(2034 - 1984) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(997 - 944) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(1433 - 1385) + '\157' + '\x33' + chr(0b110011) + chr(0b110111), 17922 - 17914), ehT0Px3KOsy9(chr(0b1101 + 0o43) + '\x6f' + chr(1552 - 1502) + chr(482 - 433) + '\x35', 21036 - 21028), ehT0Px3KOsy9(chr(48) + '\157' + chr(879 - 830) + chr(1015 - 966) + '\064', 0o10), ehT0Px3KOsy9('\060' + chr(8938 - 8827) + '\x32' + chr(54), 40964 - 40956), ehT0Px3KOsy9('\060' + chr(111) + chr(2539 - 2484) + chr(0b1011 + 0o50), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1310 - 1260) + chr(0b101101 + 0o10) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(1046 - 998) + chr(0b1101111) + '\066' + chr(0b111 + 0o52), 0o10), ehT0Px3KOsy9(chr(0b10101 + 0o33) + chr(0b1101111) + chr(0b101001 + 0o12) + '\x31' + chr(53), 7616 - 7608), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10110 + 0o35) + '\x31' + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\062' + chr(571 - 518), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1100110 + 0o11) + chr(51) + chr(766 - 714) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x36' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(2028 - 1980) + '\x6f' + chr(0b110001) + chr(0b10111 + 0o32) + '\x37', 0b1000), ehT0Px3KOsy9(chr(2110 - 2062) + chr(0b1101111) + chr(0b110001) + chr(0b11 + 0o61) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(1431 - 1381) + chr(175 - 126) + chr(0b10010 + 0o40), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110011) + chr(1013 - 962) + chr(0b101111 + 0o7), 21470 - 21462), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + '\066' + chr(52), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b101100 + 0o103) + chr(51) + chr(49) + chr(54), 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110100) + chr(0b11 + 0o57), 23809 - 23801), ehT0Px3KOsy9('\060' + chr(0b1100011 + 0o14) + chr(49) + '\064' + chr(0b110011), 23026 - 23018), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(442 - 391) + chr(51) + chr(0b0 + 0o66), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\064' + chr(603 - 554), 8), ehT0Px3KOsy9(chr(0b110000) + chr(3590 - 3479) + chr(50) + '\064' + chr(1494 - 1445), 64505 - 64497), ehT0Px3KOsy9(chr(258 - 210) + '\157' + '\x33' + '\067', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b11010 + 0o31) + chr(767 - 718) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1138 - 1090) + '\157' + chr(54), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(176 - 126) + chr(0b100100 + 0o17) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(0b10111 + 0o31) + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(1377 - 1327) + '\x32' + '\065', 8), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b111 + 0o52) + chr(0b110111) + chr(50), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + '\x32' + chr(2072 - 2019) + chr(0b11 + 0o63), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b1011 + 0o144) + '\065' + chr(0b110000), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'"'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\x6f' + chr(0b1100100) + '\145')('\165' + chr(10347 - 10231) + chr(0b11100 + 0o112) + '\055' + chr(0b110000 + 0o10)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def RtEFx6rITArM(GGNQMMlJqJll, G5DiCHakuupP, HhKJnSagy0bW, o23UUTrQniSz, Cas28Ox91AKE=None, G1trZ9S2NCus=None, NOK2o3lcwPEk=None, aVcqhET1qeNF=None, qjxZ3R0OIqxB=ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x30', 14045 - 14037)) -> _jFYXBmhzM0H:
aVcqhET1qeNF = aVcqhET1qeNF or {}
_yavFU6VJ0wY = {}
QVc0DMim8Z90 = [(mTy3fac_AqJ5.YlqusYB6InkM, mTy3fac_AqJ5.YlqusYB6InkM + c2A0yzQpDQB3(mTy3fac_AqJ5.Ah1rInvg48Hb)) for mTy3fac_AqJ5 in G5DiCHakuupP]
dUeGDvbfM9fr = OnNQjiI53xqc(G5DiCHakuupP, HhKJnSagy0bW)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'|^\x93(\xcd\x9cD'), chr(0b1010010 + 0o22) + '\145' + '\143' + '\x6f' + '\144' + chr(101))('\x75' + '\x74' + '\146' + chr(0b101100 + 0o1) + chr(0b111000))] = dUeGDvbfM9fr
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'}J\x85(\xd8\x92N}'), chr(1927 - 1827) + chr(3222 - 3121) + '\143' + chr(10408 - 10297) + chr(0b1100100) + chr(101))(chr(117) + '\164' + '\x66' + chr(45) + '\x38')] = MUBCQ_ZKUvaB([OnNQjiI53xqc(IVEjoLxtoa6e, HhKJnSagy0bW) for IVEjoLxtoa6e in GGNQMMlJqJll])
mU7wOAGoTnlM = {xafqLlk3kkUe(SXOLrMavuUCe(b'cM\x89<\xc5\x95@\x7fw\xaf\xec?eZ\xceT'), chr(100) + chr(0b100011 + 0o102) + '\x63' + chr(1020 - 909) + '\x64' + '\145')(chr(0b1110101) + chr(9455 - 9339) + chr(102) + '\055' + chr(56)): o23UUTrQniSz, xafqLlk3kkUe(SXOLrMavuUCe(b'xP\x8b>\xc2\xa4NuN\xac\xe88e'), '\x64' + '\x65' + chr(0b1100011) + chr(0b1101100 + 0o3) + chr(0b11110 + 0o106) + chr(101))('\165' + '\164' + '\146' + '\055' + chr(660 - 604)): QVc0DMim8Z90, xafqLlk3kkUe(SXOLrMavuUCe(b"}J\x85(\xd8\x92N}w\xab\xe2'sU\xda"), chr(8686 - 8586) + chr(101) + '\143' + chr(0b1101111) + chr(0b1100100) + chr(4922 - 4821))('\x75' + chr(0b1000011 + 0o61) + '\146' + '\055' + '\070'): [[mTy3fac_AqJ5.Ah1rInvg48Hb for mTy3fac_AqJ5 in yHVya2HrNXZM] for yHVya2HrNXZM in GGNQMMlJqJll], xafqLlk3kkUe(SXOLrMavuUCe(b'|^\x93(\xcd\x9cDL\\\xb0\xe6)xH'), chr(4493 - 4393) + '\x65' + chr(0b110101 + 0o56) + chr(0b1011 + 0o144) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1101 + 0o147) + chr(0b1100110) + '\x2d' + '\x38'): [mTy3fac_AqJ5.Ah1rInvg48Hb for mTy3fac_AqJ5 in G5DiCHakuupP]}
SjyRXMyrbf_a = []
FxNXH5P7F5fu = []
Q0T3V8yT1jyB = []
def Vb9455gopMjS(WVxHKyX45z_L, z_1liBysFy5b):
return xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'0D\xd0a\xc8\x86~h\x19\xe5\xfe1('), chr(100) + '\x65' + chr(8597 - 8498) + chr(0b1101111) + '\x64' + chr(0b1100101))('\x75' + chr(7777 - 7661) + chr(0b1100110) + '\055' + chr(0b11101 + 0o33)), xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x0b\x924\xe4\x9ar x\xaf\xe8&'), chr(100) + '\145' + '\143' + '\x6f' + '\x64' + chr(8295 - 8194))('\165' + '\x74' + chr(0b1100110) + chr(1788 - 1743) + chr(0b111000)))(WVxHKyX45z_L, z_1liBysFy5b)
def Bvhy_jb79f3L(CGzUSvlyKBQD, b5O2oQPg9Xzq, IBZQBRD2fKTx, WBjCrWXsALUH):
try:
assert CGzUSvlyKBQD >= ehT0Px3KOsy9(chr(1620 - 1572) + '\x6f' + chr(2038 - 1990), 8)
assert b5O2oQPg9Xzq >= ehT0Px3KOsy9('\x30' + chr(111) + chr(0b10101 + 0o33), 8)
except ZVWAAMjVVHHl:
raise q1QCh3W88sgk(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\\M\x85-\xc5\x94T`\x08\xa4\xbdvrF\xddY\xed\xad\xfb\x94\xc5*\x16\xaa\xad\x84\xafLC\xadI\xcej\xa7b\xb9\xeb\xf4\x0c\xcb,]\x85>\xc2\xdbTcL\xbe\xf9)r\x1a'), chr(0b100010 + 0o102) + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\x64' + '\x65')('\165' + chr(0b11 + 0o161) + chr(2001 - 1899) + chr(706 - 661) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'Z\x0b\x924\xe4\x9ar x\xaf\xe8&'), '\144' + '\145' + chr(2443 - 2344) + '\x6f' + chr(100) + '\145')('\165' + '\164' + chr(4789 - 4687) + chr(0b1011 + 0o42) + '\x38'))(WBjCrWXsALUH))
if CGzUSvlyKBQD == b5O2oQPg9Xzq:
IBZQBRD2fKTx[WBjCrWXsALUH][CGzUSvlyKBQD] = Vb9455gopMjS(WBjCrWXsALUH, xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(7276 - 7176) + chr(0b100111 + 0o76) + '\143' + '\x6f' + '\x64' + chr(0b1100101))(chr(13555 - 13438) + '\164' + chr(8936 - 8834) + '\055' + chr(0b111000)))
else:
IBZQBRD2fKTx[WBjCrWXsALUH][CGzUSvlyKBQD] = Vb9455gopMjS(WBjCrWXsALUH, xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fK\x81)\xd8'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))(chr(0b100010 + 0o123) + chr(6372 - 6256) + chr(0b1001111 + 0o27) + chr(0b100001 + 0o14) + chr(0b111000)))
IBZQBRD2fKTx[WBjCrWXsALUH][b5O2oQPg9Xzq] = Vb9455gopMjS(WBjCrWXsALUH, xafqLlk3kkUe(SXOLrMavuUCe(b'iQ\x84'), chr(0b1100100) + '\x65' + chr(0b1100000 + 0o3) + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b1100 + 0o150) + '\146' + '\055' + chr(0b111000)))
for J_z0b5NUYjsi in vQr8gNKaIaWE(CGzUSvlyKBQD + ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(2282 - 2233), 50911 - 50903), b5O2oQPg9Xzq):
IBZQBRD2fKTx[WBjCrWXsALUH][J_z0b5NUYjsi] = Vb9455gopMjS(WBjCrWXsALUH, xafqLlk3kkUe(SXOLrMavuUCe(b'eQ'), chr(100) + chr(0b100011 + 0o102) + chr(0b1100011) + chr(0b11111 + 0o120) + chr(4724 - 4624) + '\145')(chr(117) + '\x74' + '\146' + chr(0b101101) + chr(0b111000 + 0o0)))
if Cas28Ox91AKE:
MDXnrkBefPSd = []
mSyFWBTybMRW = []
(P9NHUZXvn76g, ku4ohKqlqgsd, IEWd6Ysj27Sj) = (-ehT0Px3KOsy9('\x30' + '\157' + chr(0b11 + 0o56), 8), -ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001), 8), -ehT0Px3KOsy9('\x30' + chr(11630 - 11519) + chr(0b110001), 8))
(u4MrT0HDBwLn, raC8vw3r98zS, MaBqdIxeiQx6) = (-ehT0Px3KOsy9(chr(1328 - 1280) + '\157' + chr(77 - 28), 8), -ehT0Px3KOsy9('\x30' + chr(0b10011 + 0o134) + chr(0b1110 + 0o43), 8), -ehT0Px3KOsy9(chr(48) + '\157' + chr(1711 - 1662), 8))
for (yixuTX4lpEBK, BAsfqql0k6L8) in YlkZvXL8qwsX(Cas28Ox91AKE):
(CGzUSvlyKBQD, b5O2oQPg9Xzq) = BAsfqql0k6L8[-ehT0Px3KOsy9(chr(48) + '\x6f' + '\x31', 8)]
xafqLlk3kkUe(MDXnrkBefPSd, xafqLlk3kkUe(SXOLrMavuUCe(b'mO\x90>\xc2\x9f'), chr(9534 - 9434) + chr(1768 - 1667) + chr(2499 - 2400) + '\157' + '\144' + '\145')(chr(0b101111 + 0o106) + chr(0b1110100) + chr(0b1100110) + chr(0b10 + 0o53) + chr(0b111000)))(t7JPS4qvikx6(CGzUSvlyKBQD, dUeGDvbfM9fr))
xafqLlk3kkUe(mSyFWBTybMRW, xafqLlk3kkUe(SXOLrMavuUCe(b'mO\x90>\xc2\x9f'), chr(0b110101 + 0o57) + '\145' + chr(2772 - 2673) + chr(6837 - 6726) + '\x64' + '\145')('\x75' + '\164' + '\x66' + '\x2d' + chr(56)))(t7JPS4qvikx6(b5O2oQPg9Xzq, dUeGDvbfM9fr))
Cv2XkeETuLGY = [[xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(0b100110 + 0o76) + chr(0b1100101) + chr(99) + '\x6f' + '\x64' + chr(0b1100101))(chr(0b1110101) + chr(2939 - 2823) + chr(0b1100110) + chr(45) + chr(0b111000))] * c2A0yzQpDQB3(G5DiCHakuupP), [xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(0b1100100) + '\x65' + chr(0b101000 + 0o73) + '\157' + '\144' + chr(662 - 561))(chr(0b101001 + 0o114) + chr(0b10 + 0o162) + '\146' + chr(1374 - 1329) + chr(0b10110 + 0o42))] * c2A0yzQpDQB3(G5DiCHakuupP), [xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(100) + chr(0b1010010 + 0o23) + chr(0b101011 + 0o70) + chr(8211 - 8100) + '\144' + '\x65')('\x75' + '\164' + chr(0b1100110) + '\055' + chr(0b111000 + 0o0))] * c2A0yzQpDQB3(G5DiCHakuupP), [xafqLlk3kkUe(SXOLrMavuUCe(b'C'), chr(100) + chr(5020 - 4919) + chr(99) + '\157' + chr(0b10010 + 0o122) + chr(101))(chr(117) + chr(116) + chr(5739 - 5637) + chr(0b100011 + 0o12) + chr(1552 - 1496))] * c2A0yzQpDQB3(G5DiCHakuupP)]
if yixuTX4lpEBK > ehT0Px3KOsy9(chr(923 - 875) + chr(111) + '\x30', 8) and qjxZ3R0OIqxB > ehT0Px3KOsy9('\060' + chr(7337 - 7226) + chr(0b10011 + 0o35), 8):
Bvhy_jb79f3L(P9NHUZXvn76g, ku4ohKqlqgsd, Cv2XkeETuLGY, ehT0Px3KOsy9(chr(48) + '\157' + chr(49), 8))
if yixuTX4lpEBK > ehT0Px3KOsy9('\x30' + chr(538 - 427) + chr(1588 - 1539), 8) and qjxZ3R0OIqxB > ehT0Px3KOsy9(chr(2070 - 2022) + '\157' + chr(0b110001), 8):
Bvhy_jb79f3L(IEWd6Ysj27Sj, u4MrT0HDBwLn, Cv2XkeETuLGY, ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010), 19972 - 19964))
if yixuTX4lpEBK > ehT0Px3KOsy9('\060' + chr(8032 - 7921) + chr(1992 - 1942), 8) and qjxZ3R0OIqxB > ehT0Px3KOsy9(chr(0b100111 + 0o11) + '\157' + chr(50), 8):
Bvhy_jb79f3L(raC8vw3r98zS, MaBqdIxeiQx6, Cv2XkeETuLGY, ehT0Px3KOsy9(chr(48) + chr(0b11001 + 0o126) + '\x33', ord("\x08")))
raC8vw3r98zS = IEWd6Ysj27Sj
MaBqdIxeiQx6 = u4MrT0HDBwLn
IEWd6Ysj27Sj = P9NHUZXvn76g
u4MrT0HDBwLn = ku4ohKqlqgsd
P9NHUZXvn76g = CGzUSvlyKBQD
ku4ohKqlqgsd = b5O2oQPg9Xzq
if qjxZ3R0OIqxB > ehT0Px3KOsy9('\060' + chr(0b1011011 + 0o24) + '\x32', 8):
xafqLlk3kkUe(Q0T3V8yT1jyB, xafqLlk3kkUe(SXOLrMavuUCe(b'mO\x90>\xc2\x9f'), chr(8492 - 8392) + '\145' + chr(99) + '\x6f' + chr(0b0 + 0o144) + '\x65')(chr(0b1110101) + chr(732 - 616) + '\146' + chr(0b101101) + chr(56)))(AwqTyd611fWg(Cv2XkeETuLGY[ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + chr(0b110011), 8)], dUeGDvbfM9fr, label_namespace=xafqLlk3kkUe(SXOLrMavuUCe(b'mQ\x93,\xc9\x89~gI\xb8\xfe'), chr(0b1100100) + chr(5524 - 5423) + '\x63' + '\157' + '\144' + chr(0b0 + 0o145))(chr(117) + '\x74' + chr(3145 - 3043) + chr(45) + chr(0b111000))))
if qjxZ3R0OIqxB > ehT0Px3KOsy9('\x30' + chr(111) + '\061', 8):
xafqLlk3kkUe(FxNXH5P7F5fu, xafqLlk3kkUe(SXOLrMavuUCe(b'mO\x90>\xc2\x9f'), chr(4937 - 4837) + chr(5357 - 5256) + '\x63' + '\x6f' + '\x64' + '\x65')('\x75' + chr(0b1110100) + chr(5512 - 5410) + chr(0b101101) + chr(0b111000)))(AwqTyd611fWg(Cv2XkeETuLGY[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010), 8)], dUeGDvbfM9fr, label_namespace=xafqLlk3kkUe(SXOLrMavuUCe(b'mQ\x93,\xc9\x89~gI\xb8\xfe'), chr(0b1100100) + chr(101) + chr(0b110000 + 0o63) + chr(0b11001 + 0o126) + chr(2460 - 2360) + chr(0b10000 + 0o125))('\165' + chr(116) + chr(102) + chr(0b100 + 0o51) + chr(0b111000))))
if qjxZ3R0OIqxB > ehT0Px3KOsy9('\x30' + chr(0b1001110 + 0o41) + chr(0b110000), 8):
xafqLlk3kkUe(SjyRXMyrbf_a, xafqLlk3kkUe(SXOLrMavuUCe(b'mO\x90>\xc2\x9f'), '\x64' + chr(0b111011 + 0o52) + chr(2838 - 2739) + chr(6295 - 6184) + chr(0b111100 + 0o50) + '\145')(chr(117) + chr(0b1000 + 0o154) + chr(0b1100110) + chr(45) + chr(0b100100 + 0o24)))(AwqTyd611fWg(Cv2XkeETuLGY[ehT0Px3KOsy9(chr(1030 - 982) + chr(0b1101111) + '\x31', 8)], dUeGDvbfM9fr, label_namespace=xafqLlk3kkUe(SXOLrMavuUCe(b'mQ\x93,\xc9\x89~gI\xb8\xfe'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1011101 + 0o22) + chr(0b1100100) + chr(0b1100101))(chr(3732 - 3615) + chr(0b100 + 0o160) + '\x66' + '\x2d' + '\070')))
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fO\x815\xf3\x88UrZ\xab'), '\144' + '\145' + '\143' + chr(0b1011 + 0o144) + chr(0b1100100) + chr(4377 - 4276))(chr(0b110110 + 0o77) + chr(11824 - 11708) + '\x66' + chr(0b101 + 0o50) + chr(3051 - 2995))] = MUBCQ_ZKUvaB(MDXnrkBefPSd)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'\x7fO\x815\xf3\x9eOw'), chr(100) + chr(614 - 513) + '\143' + chr(8743 - 8632) + '\x64' + chr(8225 - 8124))('\165' + chr(10112 - 9996) + '\x66' + '\055' + chr(0b111000))] = MUBCQ_ZKUvaB(mSyFWBTybMRW)
if qjxZ3R0OIqxB > ehT0Px3KOsy9('\060' + chr(111) + '\060', 8):
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'|\x0e\xbf:\xc2\x88VvZ\x80\xe0-dP\xccC'), chr(0b1100100) + chr(101) + '\x63' + chr(10643 - 10532) + '\x64' + '\x65')(chr(0b101010 + 0o113) + chr(0b1110100) + chr(102) + '\x2d' + '\x38')] = MUBCQ_ZKUvaB(SjyRXMyrbf_a)
if qjxZ3R0OIqxB > ehT0Px3KOsy9(chr(0b1011 + 0o45) + chr(0b1101111) + chr(49), 8):
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'|\r\xbf:\xc2\x88VvZ\x80\xe0-dP\xccC'), '\144' + '\145' + chr(0b100110 + 0o75) + chr(4385 - 4274) + '\144' + '\x65')(chr(117) + chr(0b1110100) + chr(4935 - 4833) + chr(640 - 595) + chr(0b111000))] = MUBCQ_ZKUvaB(FxNXH5P7F5fu)
if qjxZ3R0OIqxB > ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010), 8):
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'|\x0c\xbf:\xc2\x88VvZ\x80\xe0-dP\xccC'), chr(0b11011 + 0o111) + chr(101) + '\143' + chr(442 - 331) + chr(0b1100100) + chr(0b10110 + 0o117))(chr(0b1110101) + chr(9835 - 9719) + '\x66' + chr(0b101101 + 0o0) + '\x38')] = MUBCQ_ZKUvaB(Q0T3V8yT1jyB)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'uZ\x935\xc3\xa4Mz[\xab'), chr(100) + chr(101) + '\143' + '\x6f' + chr(100) + chr(0b101011 + 0o72))('\x75' + chr(0b1110100) + '\x66' + chr(0b100010 + 0o13) + chr(2139 - 2083))] = MUBCQ_ZKUvaB([QMss2ke2StGn(c8SBz0wzlaO6, label_namespace=xafqLlk3kkUe(SXOLrMavuUCe(b'uZ\x935\xc3\xa4MrJ\xba\xe1?'), chr(0b1100100) + '\145' + chr(0b1010110 + 0o15) + '\x6f' + chr(8894 - 8794) + chr(0b101011 + 0o72))(chr(0b1110101) + chr(10726 - 10610) + '\146' + '\x2d' + '\070')) for c8SBz0wzlaO6 in G1trZ9S2NCus])
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'jP\x8c7\xc3\x8cTcw\xb3\xe4?b'), chr(3414 - 3314) + '\x65' + chr(99) + '\157' + chr(0b11010 + 0o112) + chr(101))('\165' + chr(0b1011011 + 0o31) + chr(5357 - 5255) + '\x2d' + '\070')] = MUBCQ_ZKUvaB([QMss2ke2StGn(iA06vs86lHyJ, label_namespace=xafqLlk3kkUe(SXOLrMavuUCe(b'jP\x8c7\xc3\x8cTcw\xb3\xec.sW\xda'), chr(100) + '\145' + chr(0b1100011) + '\x6f' + chr(100) + chr(4706 - 4605))(chr(0b1110101) + '\164' + chr(0b11010 + 0o114) + chr(1164 - 1119) + chr(0b110000 + 0o10))) for iA06vs86lHyJ in NOK2o3lcwPEk])
xafqLlk3kkUe(mU7wOAGoTnlM, xafqLlk3kkUe(SXOLrMavuUCe(b'VK\xa1\x1e\xc5\xb5k}Q\xeb\xe8|'), '\144' + chr(8531 - 8430) + '\x63' + '\x6f' + chr(0b1100100) + '\x65')(chr(0b101100 + 0o111) + chr(116) + '\146' + chr(0b101101) + chr(0b11101 + 0o33)))(aVcqhET1qeNF)
_yavFU6VJ0wY[xafqLlk3kkUe(SXOLrMavuUCe(b'aZ\x94:\xc8\x9aUr'), '\144' + '\x65' + chr(0b1011111 + 0o4) + '\x6f' + chr(100) + chr(0b1100101))(chr(117) + chr(116) + '\146' + chr(1696 - 1651) + '\x38')] = t6SYWO6Og436(mU7wOAGoTnlM)
return _jFYXBmhzM0H(_yavFU6VJ0wY)
|
allenai/allennlp
|
allennlp/data/dataset_readers/reading_comprehension/util.py
|
handle_cannot
|
def handle_cannot(reference_answers: List[str]):
"""
Process a list of reference answers.
If equal or more than half of the reference answers are "CANNOTANSWER", take it as gold.
Otherwise, return answers that are not "CANNOTANSWER".
"""
num_cannot = 0
num_spans = 0
for ref in reference_answers:
if ref == 'CANNOTANSWER':
num_cannot += 1
else:
num_spans += 1
if num_cannot >= num_spans:
reference_answers = ['CANNOTANSWER']
else:
reference_answers = [x for x in reference_answers if x != 'CANNOTANSWER']
return reference_answers
|
python
|
def handle_cannot(reference_answers: List[str]):
"""
Process a list of reference answers.
If equal or more than half of the reference answers are "CANNOTANSWER", take it as gold.
Otherwise, return answers that are not "CANNOTANSWER".
"""
num_cannot = 0
num_spans = 0
for ref in reference_answers:
if ref == 'CANNOTANSWER':
num_cannot += 1
else:
num_spans += 1
if num_cannot >= num_spans:
reference_answers = ['CANNOTANSWER']
else:
reference_answers = [x for x in reference_answers if x != 'CANNOTANSWER']
return reference_answers
|
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] |
Process a list of reference answers.
If equal or more than half of the reference answers are "CANNOTANSWER", take it as gold.
Otherwise, return answers that are not "CANNOTANSWER".
|
[
"Process",
"a",
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".",
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"or",
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"not",
"CANNOTANSWER",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/reading_comprehension/util.py#L354-L371
|
train
|
Process a list of reference answers.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(71 - 23) + chr(111) + '\x31' + '\063' + chr(0b11100 + 0o30), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5398 - 5287) + '\x31' + '\063' + chr(0b10011 + 0o41), 8), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110011) + chr(0b110100) + chr(0b11110 + 0o25), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(3113 - 3002) + chr(0b110110) + '\062', 0o10), ehT0Px3KOsy9('\060' + chr(1465 - 1354) + chr(0b110010) + chr(1406 - 1355) + chr(432 - 377), 29714 - 29706), ehT0Px3KOsy9('\060' + '\157' + chr(51) + chr(1761 - 1709) + chr(147 - 99), 0b1000), ehT0Px3KOsy9(chr(0b100 + 0o54) + '\x6f' + chr(50) + '\x36' + chr(0b110101), 54929 - 54921), ehT0Px3KOsy9(chr(48) + chr(8628 - 8517) + chr(0b110011) + chr(54) + '\x32', 4211 - 4203), ehT0Px3KOsy9(chr(1058 - 1010) + chr(111) + chr(50) + chr(352 - 301) + '\x32', 25 - 17), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(667 - 613) + chr(0b10010 + 0o37), 0b1000), ehT0Px3KOsy9(chr(0b11111 + 0o21) + chr(111) + chr(49) + chr(1599 - 1545) + chr(0b101111 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1001001 + 0o46) + '\x31' + chr(737 - 683) + chr(0b110011), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111100 + 0o63) + chr(1258 - 1207) + chr(0b110110) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(11498 - 11387) + chr(0b110110) + '\062', 8), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(111) + chr(0b110001) + '\061' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10000 + 0o45) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(0b101000 + 0o10) + '\x6f' + chr(0b101011 + 0o7) + chr(0b110 + 0o52) + chr(50), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110001) + chr(0b110111) + '\x35', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b110100 + 0o73) + '\x33' + chr(53) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(2265 - 2217), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x33' + chr(0b110011) + chr(50), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\067' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b10100 + 0o41) + chr(0b110101), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + '\x30' + chr(0b100110 + 0o15), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b101010 + 0o10) + chr(0b110001) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(1706 - 1658) + chr(111) + chr(0b110001) + chr(49) + chr(0b110101), 52882 - 52874), ehT0Px3KOsy9(chr(1203 - 1155) + chr(0b1101111) + chr(0b110010) + chr(0b10 + 0o56) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(1529 - 1479) + chr(574 - 525) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1011100 + 0o23) + '\x33' + chr(0b10101 + 0o35) + '\063', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + '\x30', 0o10), ehT0Px3KOsy9('\060' + chr(111) + '\x33' + chr(715 - 664) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + chr(0b10011 + 0o44) + chr(2454 - 2401), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(9990 - 9879) + chr(955 - 905) + '\065' + chr(2432 - 2382), 1061 - 1053), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(49) + chr(2028 - 1973) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x31' + chr(798 - 750) + '\x32', 0o10), ehT0Px3KOsy9(chr(1848 - 1800) + chr(0b10011 + 0o134) + '\063' + chr(0b110110), 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1101111) + chr(0b110100) + chr(0b100001 + 0o22), 17075 - 17067), ehT0Px3KOsy9('\x30' + chr(1844 - 1733) + chr(52) + chr(0b10101 + 0o42), ord("\x08")), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\x32' + chr(0b110111) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(5297 - 5186) + chr(0b11010 + 0o30) + '\x37' + '\x35', 0b1000)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(5327 - 5216) + chr(53) + chr(48), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'r'), chr(8545 - 8445) + '\145' + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(8307 - 8206))(chr(0b1110101) + chr(116) + '\x66' + '\x2d' + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def JTJwI3sEOqYX(cPqEpm2JCXdw):
sCPokiicMyAR = ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2268 - 2220), ord("\x08"))
OUd0ToLbwEx5 = ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o50), 8)
for X4s0pSydcnYR in cPqEpm2JCXdw:
if X4s0pSydcnYR == xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\x1d\xad|\xd0\xb4\xf4\xbc\xc9f7!'), '\x64' + chr(2313 - 2212) + chr(6742 - 6643) + chr(111) + chr(0b11110 + 0o106) + '\x65')('\165' + chr(116) + chr(161 - 59) + chr(278 - 233) + chr(56)):
sCPokiicMyAR += ehT0Px3KOsy9('\x30' + chr(0b111010 + 0o65) + '\061', 38682 - 38674)
else:
OUd0ToLbwEx5 += ehT0Px3KOsy9(chr(0b110000) + chr(7252 - 7141) + chr(0b101000 + 0o11), 8)
if sCPokiicMyAR >= OUd0ToLbwEx5:
cPqEpm2JCXdw = [xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\x1d\xad|\xd0\xb4\xf4\xbc\xc9f7!'), '\144' + '\145' + '\143' + '\157' + '\144' + '\145')(chr(117) + '\164' + chr(0b1100110) + chr(45) + chr(56))]
else:
cPqEpm2JCXdw = [OeWW0F1dBPRQ for OeWW0F1dBPRQ in cPqEpm2JCXdw if OeWW0F1dBPRQ != xafqLlk3kkUe(SXOLrMavuUCe(b'\x1f\x1d\xad|\xd0\xb4\xf4\xbc\xc9f7!'), chr(8172 - 8072) + '\x65' + chr(9329 - 9230) + chr(0b1101111) + '\144' + '\145')(chr(4821 - 4704) + chr(0b1101 + 0o147) + chr(8165 - 8063) + '\x2d' + chr(1635 - 1579))]
return cPqEpm2JCXdw
|
allenai/allennlp
|
allennlp/models/reading_comprehension/util.py
|
get_best_span
|
def get_best_span(span_start_logits: torch.Tensor, span_end_logits: torch.Tensor) -> torch.Tensor:
"""
This acts the same as the static method ``BidirectionalAttentionFlow.get_best_span()``
in ``allennlp/models/reading_comprehension/bidaf.py``. We keep it here so that users can
directly import this function without the class.
We call the inputs "logits" - they could either be unnormalized logits or normalized log
probabilities. A log_softmax operation is a constant shifting of the entire logit
vector, so taking an argmax over either one gives the same result.
"""
if span_start_logits.dim() != 2 or span_end_logits.dim() != 2:
raise ValueError("Input shapes must be (batch_size, passage_length)")
batch_size, passage_length = span_start_logits.size()
device = span_start_logits.device
# (batch_size, passage_length, passage_length)
span_log_probs = span_start_logits.unsqueeze(2) + span_end_logits.unsqueeze(1)
# Only the upper triangle of the span matrix is valid; the lower triangle has entries where
# the span ends before it starts.
span_log_mask = torch.triu(torch.ones((passage_length, passage_length),
device=device)).log()
valid_span_log_probs = span_log_probs + span_log_mask
# Here we take the span matrix and flatten it, then find the best span using argmax. We
# can recover the start and end indices from this flattened list using simple modular
# arithmetic.
# (batch_size, passage_length * passage_length)
best_spans = valid_span_log_probs.view(batch_size, -1).argmax(-1)
span_start_indices = best_spans // passage_length
span_end_indices = best_spans % passage_length
return torch.stack([span_start_indices, span_end_indices], dim=-1)
|
python
|
def get_best_span(span_start_logits: torch.Tensor, span_end_logits: torch.Tensor) -> torch.Tensor:
"""
This acts the same as the static method ``BidirectionalAttentionFlow.get_best_span()``
in ``allennlp/models/reading_comprehension/bidaf.py``. We keep it here so that users can
directly import this function without the class.
We call the inputs "logits" - they could either be unnormalized logits or normalized log
probabilities. A log_softmax operation is a constant shifting of the entire logit
vector, so taking an argmax over either one gives the same result.
"""
if span_start_logits.dim() != 2 or span_end_logits.dim() != 2:
raise ValueError("Input shapes must be (batch_size, passage_length)")
batch_size, passage_length = span_start_logits.size()
device = span_start_logits.device
# (batch_size, passage_length, passage_length)
span_log_probs = span_start_logits.unsqueeze(2) + span_end_logits.unsqueeze(1)
# Only the upper triangle of the span matrix is valid; the lower triangle has entries where
# the span ends before it starts.
span_log_mask = torch.triu(torch.ones((passage_length, passage_length),
device=device)).log()
valid_span_log_probs = span_log_probs + span_log_mask
# Here we take the span matrix and flatten it, then find the best span using argmax. We
# can recover the start and end indices from this flattened list using simple modular
# arithmetic.
# (batch_size, passage_length * passage_length)
best_spans = valid_span_log_probs.view(batch_size, -1).argmax(-1)
span_start_indices = best_spans // passage_length
span_end_indices = best_spans % passage_length
return torch.stack([span_start_indices, span_end_indices], dim=-1)
|
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] |
This acts the same as the static method ``BidirectionalAttentionFlow.get_best_span()``
in ``allennlp/models/reading_comprehension/bidaf.py``. We keep it here so that users can
directly import this function without the class.
We call the inputs "logits" - they could either be unnormalized logits or normalized log
probabilities. A log_softmax operation is a constant shifting of the entire logit
vector, so taking an argmax over either one gives the same result.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/models/reading_comprehension/util.py#L4-L33
|
train
|
This method returns the best span for the given set of logits.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\x6f' + chr(204 - 155) + chr(48), 54718 - 54710), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\x6f' + chr(50) + '\x33' + chr(0b110010), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(10029 - 9918) + chr(51) + chr(54) + chr(2214 - 2161), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101010 + 0o5) + chr(49) + chr(0b100001 + 0o17) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110001 + 0o0) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(2104 - 2056) + chr(11952 - 11841) + chr(1671 - 1621) + '\x34' + chr(49), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1110 + 0o141) + chr(2899 - 2845) + chr(1717 - 1665), 32939 - 32931), ehT0Px3KOsy9(chr(2085 - 2037) + chr(0b1101111) + '\x31' + '\x35' + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(8450 - 8339) + chr(0b110011) + chr(54) + chr(0b110000), 7502 - 7494), ehT0Px3KOsy9(chr(0b1 + 0o57) + '\x6f' + chr(50) + '\065' + '\x31', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001) + '\063' + '\062', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(710 - 662) + chr(0b1101111) + '\x31' + chr(0b1100 + 0o51) + '\064', 25647 - 25639), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(49) + '\x33' + chr(162 - 113), 12139 - 12131), ehT0Px3KOsy9(chr(2160 - 2112) + chr(5402 - 5291) + '\x32' + chr(2052 - 2001) + chr(1983 - 1931), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110110) + chr(0b100101 + 0o13), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110010) + '\067' + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(0b110101) + chr(2457 - 2406), 0o10), ehT0Px3KOsy9('\x30' + chr(0b111001 + 0o66) + chr(54) + chr(2871 - 2817), 31686 - 31678), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11010 + 0o30) + '\x32', 0b1000), ehT0Px3KOsy9(chr(1998 - 1950) + chr(8446 - 8335) + '\x33' + '\067', 0o10), ehT0Px3KOsy9(chr(0b11001 + 0o27) + chr(0b10100 + 0o133) + chr(2420 - 2369) + '\060', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + chr(0b1 + 0o60) + chr(0b110110) + chr(438 - 385), 0o10), ehT0Px3KOsy9(chr(48) + chr(1756 - 1645) + '\x32' + '\x33' + '\x34', 8), ehT0Px3KOsy9('\x30' + '\157' + chr(2380 - 2331) + chr(0b1111 + 0o42) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(1150 - 1102) + chr(6926 - 6815) + chr(0b1110 + 0o47) + chr(0b1100 + 0o45), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001110 + 0o41) + '\x34' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + chr(1163 - 1113) + chr(536 - 481) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1226 - 1175) + chr(2178 - 2128) + chr(2263 - 2215), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b100100 + 0o16) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(11689 - 11578) + chr(868 - 817) + chr(48) + chr(306 - 255), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b101101 + 0o5) + '\066' + '\063', 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(615 - 562) + chr(0b100001 + 0o24), 0o10), ehT0Px3KOsy9('\x30' + chr(0b100010 + 0o115) + '\061' + chr(1332 - 1277), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1100 + 0o46) + chr(50) + chr(525 - 475), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + chr(2688 - 2636), 8), ehT0Px3KOsy9(chr(1993 - 1945) + chr(8301 - 8190) + '\x34' + chr(2515 - 2461), 0b1000), ehT0Px3KOsy9(chr(606 - 558) + '\x6f' + chr(49) + chr(53) + chr(0b110010), 64110 - 64102), ehT0Px3KOsy9(chr(48) + chr(10248 - 10137) + chr(54) + chr(53), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(50) + chr(55), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + chr(0b101 + 0o152) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'&'), chr(510 - 410) + '\145' + '\143' + chr(0b10000 + 0o137) + '\144' + chr(101))(chr(0b1110101) + chr(0b1110100) + '\x66' + '\x2d' + chr(2411 - 2355)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def D1YRssQVY1ZR(DgLcIQmdq__J, Y3Qqi3OfaWAB) -> xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'\\\xff\x9b5\xa7\xd3'), chr(0b1100100) + chr(2842 - 2741) + '\143' + chr(10982 - 10871) + '\x64' + chr(987 - 886))('\x75' + '\164' + chr(1837 - 1735) + chr(45) + '\x38')):
if xafqLlk3kkUe(DgLcIQmdq__J, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xf3\x98'), '\144' + chr(3154 - 3053) + chr(965 - 866) + '\157' + chr(100) + chr(101))(chr(9532 - 9415) + chr(0b1011001 + 0o33) + chr(0b1000010 + 0o44) + '\x2d' + '\070'))() != ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\x6f' + chr(1240 - 1190), 33142 - 33134) or xafqLlk3kkUe(Y3Qqi3OfaWAB, xafqLlk3kkUe(SXOLrMavuUCe(b'l\xf3\x98'), '\x64' + chr(0b1100101) + '\143' + chr(0b1011111 + 0o20) + chr(100) + '\145')(chr(0b1110101) + '\164' + chr(2593 - 2491) + '\x2d' + chr(0b111000)))() != ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110010), 8):
raise q1QCh3W88sgk(xafqLlk3kkUe(SXOLrMavuUCe(b'A\xf4\x853\xbc\x81G\x00\x91\xd9?bL4\xe9C\xcdKTw?0\x17\xfd8JM\xe7\xa3\xcf\xb9\xd6\xc1/\xe2UU\x19T\xb0m\xc5\x99#\xa6\xc6@\x00\xd9'), '\x64' + chr(1144 - 1043) + '\x63' + '\157' + chr(0b1100100) + '\x65')('\165' + chr(116) + chr(0b1100110) + '\055' + '\x38'))
(ix9dZyeAmUxY, oc2YJqTuyXgm) = DgLcIQmdq__J.NLcc3BCJnQka()
v9dZPx26KxBP = DgLcIQmdq__J.device
uXcjkVhCfO1_ = DgLcIQmdq__J.unsqueeze(ehT0Px3KOsy9('\x30' + chr(3118 - 3007) + chr(50), 8)) + Y3Qqi3OfaWAB.unsqueeze(ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001), 34172 - 34164))
cQpjCfHr3Fsk = cEkFpYktkSeK.triu(cEkFpYktkSeK.ones((oc2YJqTuyXgm, oc2YJqTuyXgm), device=v9dZPx26KxBP)).log()
cLiXKfV3Jugb = uXcjkVhCfO1_ + cQpjCfHr3Fsk
GbC7SV1fxs7E = cLiXKfV3Jugb.view(ix9dZyeAmUxY, -ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001), 8)).argmax(-ehT0Px3KOsy9('\x30' + chr(111) + chr(0b100111 + 0o12), 8))
BHvOzqX4HPx7 = GbC7SV1fxs7E // oc2YJqTuyXgm
wpJrRX5FfRju = GbC7SV1fxs7E % oc2YJqTuyXgm
return xafqLlk3kkUe(cEkFpYktkSeK, xafqLlk3kkUe(SXOLrMavuUCe(b'{\xee\x94%\xa3'), '\144' + chr(9011 - 8910) + chr(99) + chr(0b1101111) + chr(7029 - 6929) + chr(6196 - 6095))('\165' + chr(0b1110100) + '\x66' + '\055' + chr(1779 - 1723)))([BHvOzqX4HPx7, wpJrRX5FfRju], dim=-ehT0Px3KOsy9(chr(48) + '\x6f' + '\061', 8))
|
allenai/allennlp
|
allennlp/data/tokenizers/word_splitter.py
|
WordSplitter.batch_split_words
|
def batch_split_words(self, sentences: List[str]) -> List[List[Token]]:
"""
Spacy needs to do batch processing, or it can be really slow. This method lets you take
advantage of that if you want. Default implementation is to just iterate of the sentences
and call ``split_words``, but the ``SpacyWordSplitter`` will actually do batched
processing.
"""
return [self.split_words(sentence) for sentence in sentences]
|
python
|
def batch_split_words(self, sentences: List[str]) -> List[List[Token]]:
"""
Spacy needs to do batch processing, or it can be really slow. This method lets you take
advantage of that if you want. Default implementation is to just iterate of the sentences
and call ``split_words``, but the ``SpacyWordSplitter`` will actually do batched
processing.
"""
return [self.split_words(sentence) for sentence in sentences]
|
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"str",
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"[",
"self",
".",
"split_words",
"(",
"sentence",
")",
"for",
"sentence",
"in",
"sentences",
"]"
] |
Spacy needs to do batch processing, or it can be really slow. This method lets you take
advantage of that if you want. Default implementation is to just iterate of the sentences
and call ``split_words``, but the ``SpacyWordSplitter`` will actually do batched
processing.
|
[
"Spacy",
"needs",
"to",
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"or",
"it",
"can",
"be",
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"slow",
".",
"This",
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"advantage",
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"want",
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"to",
"just",
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"and",
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"but",
"the",
"SpacyWordSplitter",
"will",
"actually",
"do",
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"processing",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/tokenizers/word_splitter.py#L25-L32
|
train
|
This method will iterate over the sentences and split the words into a list of tokens.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(1960 - 1912) + '\157' + '\063' + chr(379 - 326) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\062' + chr(0b11111 + 0o22) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110010) + chr(183 - 129) + chr(0b110110), 5007 - 4999), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(6481 - 6370) + chr(0b11101 + 0o30) + chr(0b100011 + 0o24), ord("\x08")), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b11111 + 0o120) + chr(788 - 737) + chr(48) + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b110100 + 0o73) + chr(994 - 945) + '\x32' + '\x35', 0b1000), ehT0Px3KOsy9(chr(320 - 272) + '\157' + chr(375 - 324) + chr(0b110110) + chr(0b110011 + 0o2), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(2089 - 2036) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\157' + '\061' + chr(49) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b11101 + 0o23) + '\x6f' + chr(0b110010) + chr(0b110001) + chr(0b11101 + 0o30), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b11000 + 0o31) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b10000 + 0o41) + chr(668 - 617) + chr(0b110100), 0o10), ehT0Px3KOsy9(chr(1873 - 1825) + chr(111) + chr(0b110011) + '\067' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(462 - 351) + chr(0b101 + 0o62) + chr(2322 - 2273), 30492 - 30484), ehT0Px3KOsy9('\060' + chr(0b1010000 + 0o37) + chr(0b110010) + chr(48) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(2266 - 2218) + '\157' + chr(0b11010 + 0o27) + chr(52) + chr(0b1100 + 0o51), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(0b101010 + 0o14) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(1628 - 1580) + chr(0b1101111) + chr(0b110011) + '\x30' + chr(450 - 399), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\062' + chr(0b100110 + 0o12) + chr(0b10011 + 0o35), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(1544 - 1433) + chr(51) + chr(52) + chr(49), 48456 - 48448), ehT0Px3KOsy9(chr(48) + chr(111) + '\062' + chr(0b110010) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x32' + chr(48) + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + '\x37', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(54) + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b10111 + 0o31) + chr(0b100000 + 0o117) + chr(0b110001) + chr(569 - 514) + chr(1899 - 1848), 17834 - 17826), ehT0Px3KOsy9('\060' + chr(8469 - 8358) + '\061' + chr(1451 - 1401) + '\060', 44836 - 44828), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11000 + 0o33) + chr(0b110001) + '\065', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(2902 - 2791) + '\x31' + chr(0b100111 + 0o14) + chr(1732 - 1681), 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b110011 + 0o0) + chr(0b110001), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1332 - 1280) + chr(54), 59798 - 59790), ehT0Px3KOsy9('\x30' + chr(12203 - 12092) + chr(0b110010), 0o10), ehT0Px3KOsy9('\x30' + chr(5237 - 5126) + chr(1850 - 1795) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b10011 + 0o35) + chr(111) + chr(49) + '\060' + '\064', 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\x6f' + '\x33' + '\066' + chr(0b110110), 12958 - 12950), ehT0Px3KOsy9(chr(1977 - 1929) + chr(0b11001 + 0o126) + '\x33' + chr(53) + chr(48), 0b1000), ehT0Px3KOsy9(chr(1939 - 1891) + '\x6f' + chr(0b11010 + 0o31) + chr(52), 38016 - 38008), ehT0Px3KOsy9(chr(2173 - 2125) + chr(111) + chr(0b110010) + chr(53) + '\066', 63517 - 63509), ehT0Px3KOsy9(chr(48) + chr(6076 - 5965) + '\x33' + '\x30', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x31' + chr(0b101 + 0o57) + chr(0b110010), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\x31' + chr(0b11101 + 0o31) + chr(54), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\065' + chr(48), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc7'), chr(100) + '\145' + '\x63' + '\x6f' + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(10356 - 10240) + chr(0b111010 + 0o54) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def V6ebiEF_UaaY(oVre8I6UXc3b, tqdrVw7QhW0i) -> qRxF7OQ0y39T[qRxF7OQ0y39T[umJ2jcr5NLY0]]:
return [xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9a\xfe\xdaF\xb5\n\x82E>\xe9\xba'), chr(0b1100100) + chr(5695 - 5594) + chr(0b1100011) + chr(0b110 + 0o151) + chr(100) + chr(0b11000 + 0o115))(chr(117) + chr(116) + '\146' + '\x2d' + chr(817 - 761)))(pamQPTGoym5v) for pamQPTGoym5v in tqdrVw7QhW0i]
|
allenai/allennlp
|
allennlp/state_machines/beam_search.py
|
BeamSearch.constrained_to
|
def constrained_to(self, initial_sequence: torch.Tensor, keep_beam_details: bool = True) -> 'BeamSearch':
"""
Return a new BeamSearch instance that's like this one but with the specified constraint.
"""
return BeamSearch(self._beam_size, self._per_node_beam_size, initial_sequence, keep_beam_details)
|
python
|
def constrained_to(self, initial_sequence: torch.Tensor, keep_beam_details: bool = True) -> 'BeamSearch':
"""
Return a new BeamSearch instance that's like this one but with the specified constraint.
"""
return BeamSearch(self._beam_size, self._per_node_beam_size, initial_sequence, keep_beam_details)
|
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",",
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] |
Return a new BeamSearch instance that's like this one but with the specified constraint.
|
[
"Return",
"a",
"new",
"BeamSearch",
"instance",
"that",
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"but",
"with",
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/state_machines/beam_search.py#L70-L74
|
train
|
Returns a new instance that s like this one but with the specified constraint.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\060' + '\157' + '\063' + chr(0b110011) + chr(0b110001), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\x35' + '\x31', ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + '\x6f' + chr(2347 - 2298) + chr(747 - 699) + '\x37', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11000 + 0o127) + '\062' + chr(0b110010) + '\067', 18281 - 18273), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x32' + '\065' + chr(0b11110 + 0o24), 0o10), ehT0Px3KOsy9(chr(1096 - 1048) + '\x6f' + '\061' + chr(0b0 + 0o61) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b10110 + 0o131) + '\061' + chr(2577 - 2524) + chr(0b10 + 0o61), 42071 - 42063), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001 + 0o146) + chr(50) + chr(500 - 448) + '\x31', 2292 - 2284), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\064' + '\063', ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(6714 - 6603) + '\061' + chr(0b101111 + 0o5), 0b1000), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1007 - 959) + chr(0b1011111 + 0o20) + chr(0b10000 + 0o43) + chr(1960 - 1912) + chr(991 - 939), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(1847 - 1736) + '\x32' + '\x32' + chr(1141 - 1091), 0o10), ehT0Px3KOsy9('\060' + chr(5693 - 5582) + chr(50) + chr(0b110000) + chr(0b110100 + 0o0), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b10100 + 0o35) + chr(0b110010) + chr(0b101010 + 0o12), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49) + '\063' + '\066', 56858 - 56850), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1765 - 1716) + chr(2684 - 2631) + chr(1858 - 1805), 0b1000), ehT0Px3KOsy9('\x30' + chr(8833 - 8722) + chr(0b110000 + 0o2) + '\065' + chr(1980 - 1930), 8), ehT0Px3KOsy9(chr(48) + chr(0b1 + 0o156) + '\064' + '\x32', 65053 - 65045), ehT0Px3KOsy9(chr(0b110000) + chr(12090 - 11979) + chr(0b110001) + chr(0b101 + 0o53) + chr(1366 - 1318), 0b1000), ehT0Px3KOsy9(chr(0b101 + 0o53) + chr(0b10100 + 0o133) + chr(1113 - 1064) + '\061' + chr(0b10 + 0o56), ord("\x08")), ehT0Px3KOsy9(chr(0b10110 + 0o32) + chr(0b1001000 + 0o47) + chr(0b1101 + 0o44) + '\x34' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b100101 + 0o21), 0o10), ehT0Px3KOsy9('\060' + chr(0b1010111 + 0o30) + '\x31' + chr(51) + chr(2513 - 2459), 8), ehT0Px3KOsy9('\060' + '\157' + chr(52) + chr(55), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(4349 - 4238) + chr(0b110011) + chr(0b10101 + 0o37) + '\x34', 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(945 - 834) + '\x31' + chr(49) + chr(0b110000), 8), ehT0Px3KOsy9(chr(0b110000) + chr(6715 - 6604) + '\x36' + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100011 + 0o14) + chr(49) + chr(50) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\064' + chr(0b110101), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10011 + 0o37) + chr(48) + '\065', ord("\x08")), ehT0Px3KOsy9(chr(433 - 385) + '\157' + '\064' + '\x32', 8), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + chr(52) + chr(2657 - 2603), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\x6f' + chr(2112 - 2063) + '\065' + chr(50), ord("\x08")), ehT0Px3KOsy9(chr(177 - 129) + '\x6f' + '\x33' + chr(1141 - 1091), 7667 - 7659), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + '\064' + chr(0b110011), 8), ehT0Px3KOsy9(chr(482 - 434) + chr(0b110001 + 0o76) + chr(0b110011 + 0o0) + chr(50) + chr(2032 - 1984), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(53), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110111) + '\x32', 0o10), ehT0Px3KOsy9('\x30' + chr(7188 - 7077) + chr(0b11 + 0o57) + chr(0b110010), ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x35' + chr(0b110000), 26622 - 26614)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf7'), '\x64' + chr(101) + chr(0b1100011) + chr(8249 - 8138) + '\x64' + chr(101))(chr(6555 - 6438) + chr(116) + chr(0b1100110) + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def GrQLuQXUyHtt(oVre8I6UXc3b, HqI9Qq8fzAhG, suXx7Y7uAtqm=ehT0Px3KOsy9('\x30' + chr(3133 - 3022) + '\x31', ord("\x08"))) -> xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x0c&\xfa\xf9(\n\xd3\x00d'), chr(8115 - 8015) + '\145' + chr(8758 - 8659) + '\157' + chr(0b1000111 + 0o35) + chr(0b1100101))(chr(0b1110101) + '\164' + chr(0b11101 + 0o111) + chr(0b101101) + chr(0b110001 + 0o7)):
return aK9do8_R2Dij(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x0b"\xf6\xc7\x12\x18\xc8\x19i'), chr(3569 - 3469) + '\145' + chr(99) + chr(111) + '\x64' + chr(9985 - 9884))('\165' + '\x74' + '\146' + chr(1118 - 1073) + '\x38')), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x86\x19"\xe5\xf5#\x04\xc5\x06Sq\xa1\xf3\xe9\x0b-\x04\xd0G'), chr(0b1000101 + 0o37) + chr(8289 - 8188) + chr(99) + chr(0b1001101 + 0o42) + chr(0b1100100) + chr(3996 - 3895))(chr(117) + chr(2448 - 2332) + chr(0b1011101 + 0o11) + '\x2d' + '\070')), HqI9Qq8fzAhG, suXx7Y7uAtqm)
|
allenai/allennlp
|
allennlp/state_machines/beam_search.py
|
BeamSearch.search
|
def search(self,
num_steps: int,
initial_state: StateType,
transition_function: TransitionFunction,
keep_final_unfinished_states: bool = True) -> Dict[int, List[StateType]]:
"""
Parameters
----------
num_steps : ``int``
How many steps should we take in our search? This is an upper bound, as it's possible
for the search to run out of valid actions before hitting this number, or for all
states on the beam to finish.
initial_state : ``StateType``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
keep_final_unfinished_states : ``bool``, optional (default=True)
If we run out of steps before a state is "finished", should we return that state in our
search results?
Returns
-------
best_states : ``Dict[int, List[StateType]]``
This is a mapping from batch index to the top states for that instance.
"""
finished_states: Dict[int, List[StateType]] = defaultdict(list)
states = [initial_state]
step_num = 1
# Erase stored beams, if we're tracking them.
if self.beam_snapshots is not None:
self.beam_snapshots = defaultdict(list)
while states and step_num <= num_steps:
next_states: Dict[int, List[StateType]] = defaultdict(list)
grouped_state = states[0].combine_states(states)
if self._allowed_transitions:
# We were provided an initial sequence, so we need to check
# if the current sequence is still constrained.
key = tuple(grouped_state.action_history[0])
if key in self._allowed_transitions:
# We're still in the initial_sequence, so our hand is forced.
allowed_actions = [self._allowed_transitions[key]]
else:
# We've gone past the end of the initial sequence, so no constraint.
allowed_actions = None
else:
# No initial sequence was provided, so all actions are allowed.
allowed_actions = None
for next_state in transition_function.take_step(grouped_state,
max_actions=self._per_node_beam_size,
allowed_actions=allowed_actions):
# NOTE: we're doing state.batch_indices[0] here (and similar things below),
# hard-coding a group size of 1. But, our use of `next_state.is_finished()`
# already checks for that, as it crashes if the group size is not 1.
batch_index = next_state.batch_indices[0]
if next_state.is_finished():
finished_states[batch_index].append(next_state)
else:
if step_num == num_steps and keep_final_unfinished_states:
finished_states[batch_index].append(next_state)
next_states[batch_index].append(next_state)
states = []
for batch_index, batch_states in next_states.items():
# The states from the generator are already sorted, so we can just take the first
# ones here, without an additional sort.
states.extend(batch_states[:self._beam_size])
if self.beam_snapshots is not None:
# Add to beams
self.beam_snapshots[batch_index].append(
[(state.score[0].item(), state.action_history[0])
for state in batch_states]
)
step_num += 1
# Add finished states to the stored beams as well.
if self.beam_snapshots is not None:
for batch_index, states in finished_states.items():
for state in states:
score = state.score[0].item()
action_history = state.action_history[0]
while len(self.beam_snapshots[batch_index]) < len(action_history):
self.beam_snapshots[batch_index].append([])
self.beam_snapshots[batch_index][len(action_history) - 1].append((score, action_history))
best_states: Dict[int, List[StateType]] = {}
for batch_index, batch_states in finished_states.items():
# The time this sort takes is pretty negligible, no particular need to optimize this
# yet. Maybe with a larger beam size...
finished_to_sort = [(-state.score[0].item(), state) for state in batch_states]
finished_to_sort.sort(key=lambda x: x[0])
best_states[batch_index] = [state[1] for state in finished_to_sort[:self._beam_size]]
return best_states
|
python
|
def search(self,
num_steps: int,
initial_state: StateType,
transition_function: TransitionFunction,
keep_final_unfinished_states: bool = True) -> Dict[int, List[StateType]]:
"""
Parameters
----------
num_steps : ``int``
How many steps should we take in our search? This is an upper bound, as it's possible
for the search to run out of valid actions before hitting this number, or for all
states on the beam to finish.
initial_state : ``StateType``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
keep_final_unfinished_states : ``bool``, optional (default=True)
If we run out of steps before a state is "finished", should we return that state in our
search results?
Returns
-------
best_states : ``Dict[int, List[StateType]]``
This is a mapping from batch index to the top states for that instance.
"""
finished_states: Dict[int, List[StateType]] = defaultdict(list)
states = [initial_state]
step_num = 1
# Erase stored beams, if we're tracking them.
if self.beam_snapshots is not None:
self.beam_snapshots = defaultdict(list)
while states and step_num <= num_steps:
next_states: Dict[int, List[StateType]] = defaultdict(list)
grouped_state = states[0].combine_states(states)
if self._allowed_transitions:
# We were provided an initial sequence, so we need to check
# if the current sequence is still constrained.
key = tuple(grouped_state.action_history[0])
if key in self._allowed_transitions:
# We're still in the initial_sequence, so our hand is forced.
allowed_actions = [self._allowed_transitions[key]]
else:
# We've gone past the end of the initial sequence, so no constraint.
allowed_actions = None
else:
# No initial sequence was provided, so all actions are allowed.
allowed_actions = None
for next_state in transition_function.take_step(grouped_state,
max_actions=self._per_node_beam_size,
allowed_actions=allowed_actions):
# NOTE: we're doing state.batch_indices[0] here (and similar things below),
# hard-coding a group size of 1. But, our use of `next_state.is_finished()`
# already checks for that, as it crashes if the group size is not 1.
batch_index = next_state.batch_indices[0]
if next_state.is_finished():
finished_states[batch_index].append(next_state)
else:
if step_num == num_steps and keep_final_unfinished_states:
finished_states[batch_index].append(next_state)
next_states[batch_index].append(next_state)
states = []
for batch_index, batch_states in next_states.items():
# The states from the generator are already sorted, so we can just take the first
# ones here, without an additional sort.
states.extend(batch_states[:self._beam_size])
if self.beam_snapshots is not None:
# Add to beams
self.beam_snapshots[batch_index].append(
[(state.score[0].item(), state.action_history[0])
for state in batch_states]
)
step_num += 1
# Add finished states to the stored beams as well.
if self.beam_snapshots is not None:
for batch_index, states in finished_states.items():
for state in states:
score = state.score[0].item()
action_history = state.action_history[0]
while len(self.beam_snapshots[batch_index]) < len(action_history):
self.beam_snapshots[batch_index].append([])
self.beam_snapshots[batch_index][len(action_history) - 1].append((score, action_history))
best_states: Dict[int, List[StateType]] = {}
for batch_index, batch_states in finished_states.items():
# The time this sort takes is pretty negligible, no particular need to optimize this
# yet. Maybe with a larger beam size...
finished_to_sort = [(-state.score[0].item(), state) for state in batch_states]
finished_to_sort.sort(key=lambda x: x[0])
best_states[batch_index] = [state[1] for state in finished_to_sort[:self._beam_size]]
return best_states
|
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] |
Parameters
----------
num_steps : ``int``
How many steps should we take in our search? This is an upper bound, as it's possible
for the search to run out of valid actions before hitting this number, or for all
states on the beam to finish.
initial_state : ``StateType``
The starting state of our search. This is assumed to be `batched`, and our beam search
is batch-aware - we'll keep ``beam_size`` states around for each instance in the batch.
transition_function : ``TransitionFunction``
The ``TransitionFunction`` object that defines and scores transitions from one state to the
next.
keep_final_unfinished_states : ``bool``, optional (default=True)
If we run out of steps before a state is "finished", should we return that state in our
search results?
Returns
-------
best_states : ``Dict[int, List[StateType]]``
This is a mapping from batch index to the top states for that instance.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/state_machines/beam_search.py#L76-L175
|
train
|
Search for a specific state in the cluster.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(575 - 524) + chr(50) + '\x36', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + '\x32' + chr(0b101111 + 0o5), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(312 - 263) + chr(0b110010) + chr(2418 - 2366), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(1161 - 1108) + '\x31', 34499 - 34491), ehT0Px3KOsy9(chr(132 - 84) + '\x6f' + '\x31' + '\063' + chr(1006 - 952), ord("\x08")), ehT0Px3KOsy9(chr(1271 - 1223) + chr(0b1101111) + '\062' + '\065' + chr(0b11100 + 0o30), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9(chr(239 - 191) + chr(0b1101111) + chr(51) + '\060' + '\062', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + chr(50) + chr(52) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + '\157' + chr(51) + '\067' + chr(2110 - 2056), 0b1000), ehT0Px3KOsy9('\x30' + chr(10710 - 10599) + '\062' + chr(2247 - 2196) + chr(0b1000 + 0o51), 0o10), ehT0Px3KOsy9(chr(2058 - 2010) + chr(0b1010010 + 0o35) + chr(51) + chr(1118 - 1068) + chr(55), 0o10), ehT0Px3KOsy9(chr(0b10100 + 0o34) + chr(0b1101111 + 0o0) + chr(0b10100 + 0o35) + '\063' + chr(0b110010), 11828 - 11820), ehT0Px3KOsy9(chr(0b100110 + 0o12) + '\157' + '\062' + chr(2113 - 2064) + '\067', 0b1000), ehT0Px3KOsy9('\060' + chr(3007 - 2896) + chr(0b100 + 0o55) + chr(0b110101) + '\x30', 0o10), ehT0Px3KOsy9(chr(48) + chr(7111 - 7000) + '\061' + '\065' + chr(54), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(2384 - 2334) + chr(0b110011) + chr(1167 - 1118), 8), ehT0Px3KOsy9(chr(1456 - 1408) + chr(0b1110 + 0o141) + chr(49) + chr(2365 - 2316) + '\x37', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1010010 + 0o35) + chr(49) + '\060' + '\066', ord("\x08")), ehT0Px3KOsy9('\x30' + chr(6863 - 6752) + '\063' + chr(0b100000 + 0o20), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + '\061' + chr(0b11100 + 0o26), ord("\x08")), ehT0Px3KOsy9(chr(1292 - 1244) + chr(11819 - 11708) + chr(1423 - 1374) + chr(0b110011) + '\x36', 8), ehT0Px3KOsy9(chr(0b1000 + 0o50) + chr(12293 - 12182) + '\x32' + chr(50) + chr(53), 0b1000), ehT0Px3KOsy9(chr(421 - 373) + chr(0b1101111) + '\x31' + chr(0b110011) + chr(2350 - 2296), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001 + 0o0) + chr(0b110110) + chr(53), 43917 - 43909), ehT0Px3KOsy9(chr(230 - 182) + '\x6f' + chr(49) + chr(0b110001) + chr(0b100111 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(48) + '\064', 1985 - 1977), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(111) + chr(1352 - 1301) + chr(0b110111) + '\x31', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b101010 + 0o105) + chr(50) + chr(1523 - 1471) + '\062', 0b1000), ehT0Px3KOsy9(chr(610 - 562) + '\157' + chr(0b110 + 0o53) + chr(1803 - 1752) + chr(0b1100 + 0o51), 42621 - 42613), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110001) + chr(440 - 390) + chr(2274 - 2223), 8288 - 8280), ehT0Px3KOsy9(chr(48) + chr(0b1010111 + 0o30) + '\061' + chr(0b110100) + chr(0b110000 + 0o3), ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(51) + chr(0b11 + 0o63) + chr(500 - 446), 0b1000), ehT0Px3KOsy9(chr(0b100001 + 0o17) + chr(6232 - 6121) + '\061' + chr(0b101111 + 0o5) + chr(0b110010 + 0o1), 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(2050 - 2001) + chr(55) + chr(2482 - 2430), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110 + 0o57), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1010011 + 0o34) + '\063' + chr(0b110101), 33691 - 33683), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b100110 + 0o14) + chr(290 - 237) + chr(0b110010 + 0o2), 8), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110011) + chr(0b110000) + chr(50), 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + '\x35' + chr(0b1100 + 0o52), 51615 - 51607)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101 + 0o60) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xf8'), '\x64' + chr(101) + '\x63' + '\157' + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + '\x66' + '\055' + chr(56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def d3sjjjpuU5tq(oVre8I6UXc3b, UQsgPnJC3jY0, jXyGqlVq68Bb, Ew8eGiv6mHjR, wtRuQcTfrAF2=ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 30594 - 30586)) -> zBnV56fc6HrA[ehT0Px3KOsy9, qRxF7OQ0y39T[Q8UDZwNlk6Wk]]:
HV1dcqfUnFmU = rLgqW9imlCdX(YyaZ4tpXu4lf)
jI0E6zso5mLP = [jXyGqlVq68Bb]
s4MGxQMbnqrH = ehT0Px3KOsy9(chr(470 - 422) + chr(0b100101 + 0o112) + '\x31', 8)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb4q5\x84\x01\xdf&\xa3\xd6\x8d\xf1\xb8.\xfc'), '\144' + chr(0b1100101) + '\143' + chr(0b1100001 + 0o16) + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + '\146' + '\055' + chr(56))) is not None:
oVre8I6UXc3b.JYKtIYnx7Kgb = rLgqW9imlCdX(YyaZ4tpXu4lf)
while jI0E6zso5mLP and s4MGxQMbnqrH <= UQsgPnJC3jY0:
jPZpDZH3GdVX = rLgqW9imlCdX(YyaZ4tpXu4lf)
HFKIjhy8OINa = jI0E6zso5mLP[ehT0Px3KOsy9('\060' + '\x6f' + chr(2153 - 2105), 0o10)].combine_states(jI0E6zso5mLP)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89u8\x851\xdb-\xa6\xf9\x8a\xeb\xb64\xfc\x01\x1a\xf0 (k'), chr(6316 - 6216) + chr(0b1100101) + chr(99) + chr(0b11100 + 0o123) + '\144' + '\145')(chr(0b1110101) + chr(116) + chr(0b1100110) + chr(45) + chr(56))):
K3J4ZwSlE0sT = KNyTy8rYcwji(HFKIjhy8OINa.action_history[ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\060', 8)])
if K3J4ZwSlE0sT in xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89u8\x851\xdb-\xa6\xf9\x8a\xeb\xb64\xfc\x01\x1a\xf0 (k'), chr(0b1100100) + chr(5049 - 4948) + chr(99) + '\157' + chr(100) + chr(101))('\165' + chr(0b1110100) + chr(3514 - 3412) + chr(0b101101) + '\070')):
BNz_fSTQLGui = [oVre8I6UXc3b._allowed_transitions[K3J4ZwSlE0sT]]
else:
BNz_fSTQLGui = None
else:
BNz_fSTQLGui = None
for l7yOP9uqtsC4 in xafqLlk3kkUe(Ew8eGiv6mHjR, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa2u?\x8c\x01\xdf<\xa7\xd6'), chr(100) + chr(101) + chr(4290 - 4191) + chr(111) + '\144' + chr(0b10001 + 0o124))('\x75' + chr(0b1110100) + chr(7250 - 7148) + chr(45) + '\070'))(HFKIjhy8OINa, max_actions=xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b"\x89d1\x9b\x01\xc2'\xa6\xc3\xa1\xfb\xb2;\xe27\x1d\xf05#"), chr(0b1100100) + '\145' + chr(0b100101 + 0o76) + chr(0b1011010 + 0o25) + chr(0b1010001 + 0o23) + chr(0b10101 + 0o120))('\x75' + chr(10363 - 10247) + chr(0b0 + 0o146) + chr(0b101101) + '\070')), allowed_actions=BNz_fSTQLGui):
Q3TVZeZzkrZ0 = l7yOP9uqtsC4.batch_indices[ehT0Px3KOsy9('\060' + chr(111) + chr(0b110 + 0o52), 8)]
if xafqLlk3kkUe(l7yOP9uqtsC4, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbfg\x0b\x8f7\xc2!\xb1\xce\x9b\xfd'), chr(100) + '\145' + chr(0b1100011) + chr(111) + '\144' + '\x65')('\165' + chr(1473 - 1357) + chr(102) + chr(0b1101 + 0o40) + '\x38'))():
xafqLlk3kkUe(HV1dcqfUnFmU[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), '\144' + chr(0b1001 + 0o134) + chr(185 - 86) + chr(5097 - 4986) + '\144' + chr(2710 - 2609))(chr(0b1110101) + '\164' + chr(102) + chr(1055 - 1010) + chr(56)))(l7yOP9uqtsC4)
else:
if s4MGxQMbnqrH == UQsgPnJC3jY0 and wtRuQcTfrAF2:
xafqLlk3kkUe(HV1dcqfUnFmU[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), '\x64' + '\x65' + '\x63' + chr(111) + chr(8892 - 8792) + chr(0b1100101))('\165' + chr(0b110001 + 0o103) + '\146' + chr(0b11000 + 0o25) + '\x38'))(l7yOP9uqtsC4)
xafqLlk3kkUe(jPZpDZH3GdVX[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), '\144' + '\x65' + chr(0b1000111 + 0o34) + chr(111) + chr(0b101010 + 0o72) + '\x65')(chr(0b1110101) + '\164' + chr(0b100001 + 0o105) + chr(1868 - 1823) + '\x38'))(l7yOP9uqtsC4)
jI0E6zso5mLP = []
for (Q3TVZeZzkrZ0, t6Sd6XIAAZlg) in xafqLlk3kkUe(jPZpDZH3GdVX, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98n"\x8c\x17\xf6{\x8b\xca\xad\xd1\xee'), chr(0b1001 + 0o133) + chr(0b1100101 + 0o0) + chr(0b100011 + 0o100) + chr(0b100111 + 0o110) + chr(100) + chr(101))(chr(117) + '\x74' + chr(6076 - 5974) + '\055' + '\070'))():
xafqLlk3kkUe(jI0E6zso5mLP, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb3l \x8c0\xc8'), '\144' + chr(101) + chr(0b110100 + 0o57) + chr(6648 - 6537) + chr(0b1100100) + chr(0b1100101))('\165' + '\164' + '\146' + chr(0b101101) + chr(1470 - 1414)))(t6Sd6XIAAZlg[:xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x89v1\x883\xf3;\xab\xdc\x9b'), '\144' + chr(8213 - 8112) + '\143' + chr(0b1010001 + 0o36) + '\x64' + chr(0b1100101))('\165' + chr(0b1110100) + chr(8052 - 7950) + '\x2d' + '\070'))])
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cM\x1f\x9d\x17\xf5&\xba\x91\xb5\xfe\xb5'), chr(0b1100100) + chr(101) + chr(0b111000 + 0o53) + chr(0b110101 + 0o72) + '\144' + '\145')(chr(117) + '\164' + chr(0b1100110) + '\055' + chr(0b11001 + 0o37))) is not None:
xafqLlk3kkUe(oVre8I6UXc3b.beam_snapshots[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), chr(0b1001011 + 0o31) + chr(0b1100101) + chr(0b1100011) + '\157' + chr(100) + '\x65')(chr(0b1110101) + chr(10192 - 10076) + '\x66' + chr(45) + chr(333 - 277)))([(xafqLlk3kkUe(KKFQISrGeiAm.score[ehT0Px3KOsy9(chr(0b100000 + 0o20) + chr(10312 - 10201) + chr(1551 - 1503), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\x98#>\xde;\xfc\x1c\x9a\xdc\x84\xd0\xe7'), chr(5245 - 5145) + '\145' + chr(99) + '\x6f' + chr(100) + chr(101))('\x75' + '\x74' + chr(9753 - 9651) + chr(914 - 869) + chr(0b110110 + 0o2)))(), xafqLlk3kkUe(KKFQISrGeiAm, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7w \x801\xc2\x17\xaa\xcf\x8d\xed\xb8(\xf6'), chr(0b1100100) + chr(101) + chr(0b1100011) + '\157' + '\144' + chr(0b10011 + 0o122))('\165' + '\164' + '\x66' + '\x2d' + chr(805 - 749)))[ehT0Px3KOsy9('\060' + chr(0b1011010 + 0o25) + '\060', 8)]) for KKFQISrGeiAm in t6Sd6XIAAZlg])
s4MGxQMbnqrH += ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\061', 8)
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cM\x1f\x9d\x17\xf5&\xba\x91\xb5\xfe\xb5'), chr(7757 - 7657) + chr(0b1100101) + '\x63' + chr(7142 - 7031) + '\x64' + chr(0b1100101))('\x75' + '\164' + chr(102) + chr(0b101101) + chr(605 - 549))) is not None:
for (Q3TVZeZzkrZ0, jI0E6zso5mLP) in xafqLlk3kkUe(HV1dcqfUnFmU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98n"\x8c\x17\xf6{\x8b\xca\xad\xd1\xee'), chr(0b1010000 + 0o24) + chr(0b100001 + 0o104) + '\143' + chr(111) + '\144' + chr(0b1100101))('\x75' + chr(0b1100 + 0o150) + '\146' + chr(0b101101) + chr(0b10001 + 0o47)))():
for KKFQISrGeiAm in jI0E6zso5mLP:
n9fd4FsgoqFs = KKFQISrGeiAm.score[ehT0Px3KOsy9(chr(2281 - 2233) + chr(0b10001 + 0o136) + chr(0b110000), 8)].N7j7ePTXzzI0()
sdGUbW0q0W8A = KKFQISrGeiAm.action_history[ehT0Px3KOsy9('\x30' + '\x6f' + '\060', 8)]
while c2A0yzQpDQB3(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9cM\x1f\x9d\x17\xf5&\xba\x91\xb5\xfe\xb5'), chr(2614 - 2514) + chr(6293 - 6192) + '\x63' + chr(1972 - 1861) + chr(0b1001111 + 0o25) + '\145')(chr(5687 - 5570) + chr(116) + '\x66' + chr(0b101010 + 0o3) + chr(759 - 703)))[Q3TVZeZzkrZ0]) < c2A0yzQpDQB3(sdGUbW0q0W8A):
xafqLlk3kkUe(oVre8I6UXc3b.beam_snapshots[Q3TVZeZzkrZ0], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), chr(3527 - 3427) + chr(0b101111 + 0o66) + chr(0b1100011) + chr(111) + chr(7270 - 7170) + chr(1154 - 1053))('\x75' + chr(3919 - 3803) + chr(102) + chr(45) + chr(0b111000)))([])
xafqLlk3kkUe(oVre8I6UXc3b.beam_snapshots[Q3TVZeZzkrZ0][c2A0yzQpDQB3(sdGUbW0q0W8A) - ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001), 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb7d$\x8c0\xc8'), '\x64' + chr(0b1101 + 0o130) + chr(2945 - 2846) + chr(111) + chr(100) + chr(7228 - 7127))('\x75' + '\x74' + chr(2014 - 1912) + chr(204 - 159) + chr(0b111000)))((n9fd4FsgoqFs, sdGUbW0q0W8A))
FYmaFou6uVaj = {}
for (Q3TVZeZzkrZ0, t6Sd6XIAAZlg) in xafqLlk3kkUe(HV1dcqfUnFmU, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98n"\x8c\x17\xf6{\x8b\xca\xad\xd1\xee'), chr(0b11001 + 0o113) + '\145' + chr(0b1100011) + chr(0b1101111) + '\144' + chr(0b1100101))('\x75' + chr(0b1110100) + chr(439 - 337) + chr(1419 - 1374) + '\070'))():
QYnhBbKeq8Ml = [(-KKFQISrGeiAm.score[ehT0Px3KOsy9(chr(0b1001 + 0o47) + chr(747 - 636) + chr(0b100011 + 0o15), 8)].N7j7ePTXzzI0(), KKFQISrGeiAm) for KKFQISrGeiAm in t6Sd6XIAAZlg]
xafqLlk3kkUe(QYnhBbKeq8Ml, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5{&\x9d'), chr(0b1100 + 0o130) + '\145' + chr(0b100001 + 0o102) + '\157' + chr(0b1010001 + 0o23) + chr(0b1100101))('\x75' + chr(9242 - 9126) + chr(0b110011 + 0o63) + chr(0b101101) + chr(0b1100 + 0o54)))(key=lambda OeWW0F1dBPRQ: OeWW0F1dBPRQ[ehT0Px3KOsy9(chr(119 - 71) + chr(837 - 726) + chr(0b110000), 8)])
FYmaFou6uVaj[Q3TVZeZzkrZ0] = [KKFQISrGeiAm[ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), 8)] for KKFQISrGeiAm in QYnhBbKeq8Ml[:oVre8I6UXc3b._beam_size]]
return FYmaFou6uVaj
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
_normalize_answer
|
def _normalize_answer(text: str) -> str:
"""Lower text and remove punctuation, articles and extra whitespace."""
parts = [_white_space_fix(_remove_articles(_normalize_number(_remove_punc(_lower(token)))))
for token in _tokenize(text)]
parts = [part for part in parts if part.strip()]
normalized = ' '.join(parts).strip()
return normalized
|
python
|
def _normalize_answer(text: str) -> str:
"""Lower text and remove punctuation, articles and extra whitespace."""
parts = [_white_space_fix(_remove_articles(_normalize_number(_remove_punc(_lower(token)))))
for token in _tokenize(text)]
parts = [part for part in parts if part.strip()]
normalized = ' '.join(parts).strip()
return normalized
|
[
"def",
"_normalize_answer",
"(",
"text",
":",
"str",
")",
"->",
"str",
":",
"parts",
"=",
"[",
"_white_space_fix",
"(",
"_remove_articles",
"(",
"_normalize_number",
"(",
"_remove_punc",
"(",
"_lower",
"(",
"token",
")",
")",
")",
")",
")",
"for",
"token",
"in",
"_tokenize",
"(",
"text",
")",
"]",
"parts",
"=",
"[",
"part",
"for",
"part",
"in",
"parts",
"if",
"part",
".",
"strip",
"(",
")",
"]",
"normalized",
"=",
"' '",
".",
"join",
"(",
"parts",
")",
".",
"strip",
"(",
")",
"return",
"normalized"
] |
Lower text and remove punctuation, articles and extra whitespace.
|
[
"Lower",
"text",
"and",
"remove",
"punctuation",
"articles",
"and",
"extra",
"whitespace",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L36-L43
|
train
|
Lower text and remove punctuation articles and extra whitespace.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\157' + chr(0b1111 + 0o44) + chr(52), ord("\x08")), ehT0Px3KOsy9(chr(191 - 143) + '\157' + '\x34' + chr(825 - 774), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + chr(52) + chr(2066 - 2016), 52357 - 52349), ehT0Px3KOsy9(chr(1499 - 1451) + chr(111) + chr(279 - 230) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b11100 + 0o24) + chr(7709 - 7598) + '\x33' + '\063', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\x36' + '\x33', 0o10), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\157' + chr(49) + chr(1437 - 1382) + chr(0b101001 + 0o15), 0o10), ehT0Px3KOsy9(chr(856 - 808) + '\x6f' + chr(0b110001) + chr(0b110011) + '\067', 0o10), ehT0Px3KOsy9(chr(0b101100 + 0o4) + chr(0b1101111) + '\063' + chr(55) + '\x36', 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x33' + chr(0b110001) + chr(1306 - 1256), 12221 - 12213), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b1000 + 0o53) + '\066' + chr(0b110110), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b11111 + 0o120) + chr(1268 - 1218) + '\x35' + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(4349 - 4238) + chr(49) + '\x33' + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(1580 - 1532) + chr(111) + '\061' + chr(0b100100 + 0o14), ord("\x08")), ehT0Px3KOsy9(chr(1173 - 1125) + '\157' + chr(0b1101 + 0o45) + '\x35' + chr(2393 - 2341), ord("\x08")), ehT0Px3KOsy9(chr(1121 - 1073) + chr(111) + '\064' + '\x34', 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(50) + chr(551 - 499), 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110110), 45906 - 45898), ehT0Px3KOsy9(chr(48) + '\157' + '\063' + chr(0b110100) + '\x37', 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + '\x36' + chr(0b110001 + 0o1), ord("\x08")), ehT0Px3KOsy9(chr(0b100101 + 0o13) + '\157' + chr(54) + chr(0b110010), 37056 - 37048), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x35' + '\x37', 21004 - 20996), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(50) + chr(2284 - 2236) + chr(0b11011 + 0o33), 24083 - 24075), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100110 + 0o14) + chr(49) + chr(0b110110), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b111000 + 0o67) + chr(51) + chr(48) + chr(0b11111 + 0o22), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b11100 + 0o27) + chr(1218 - 1164) + chr(54), 8), ehT0Px3KOsy9(chr(0b101111 + 0o1) + chr(0b1000001 + 0o56) + '\x34' + '\064', 8), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\157' + chr(128 - 77) + chr(1407 - 1357) + chr(2002 - 1950), 0o10), ehT0Px3KOsy9(chr(944 - 896) + chr(111) + chr(0b10000 + 0o43) + '\x32' + '\061', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110100 + 0o3), 0o10), ehT0Px3KOsy9(chr(48) + chr(10786 - 10675) + chr(0b0 + 0o62) + chr(55) + chr(0b101010 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b10101 + 0o132) + '\062' + chr(0b100 + 0o63) + '\x31', 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + '\061' + '\x34', 0b1000), ehT0Px3KOsy9(chr(1472 - 1424) + '\157' + chr(50) + chr(1668 - 1614) + chr(0b100001 + 0o24), 51804 - 51796), ehT0Px3KOsy9('\060' + chr(0b111111 + 0o60) + '\x32', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(2579 - 2528) + '\x33' + '\065', 0b1000), ehT0Px3KOsy9(chr(877 - 829) + chr(0b1101111) + '\061' + '\x34' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x33' + chr(411 - 363) + '\x30', 58192 - 58184), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\061' + chr(0b100010 + 0o20) + chr(0b11011 + 0o27), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b100111 + 0o110) + '\x37', 8)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b11111 + 0o120) + chr(0b101111 + 0o6) + chr(0b101000 + 0o10), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'2'), chr(100) + '\145' + chr(0b10 + 0o141) + chr(111) + '\x64' + '\x65')(chr(13613 - 13496) + chr(0b1110100 + 0o0) + chr(102) + chr(0b101101) + chr(0b111000)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def kM9AY1Cki8v0(Ah1rInvg48Hb) -> M8_cKLkHVB2V:
gIfWK5W_pmM4 = [Fvprry5JYaLN(BwFlskgVLKrD(uQKS57pAdu_8(UDSWq8UZH4ZK(M51eHlEwub5g(mTy3fac_AqJ5))))) for mTy3fac_AqJ5 in qwzhU8DQ4ZeR(Ah1rInvg48Hb)]
gIfWK5W_pmM4 = [kZUV3FyMs20M for kZUV3FyMs20M in gIfWK5W_pmM4 if kZUV3FyMs20M.strip()]
FRzF_AGYk44w = xafqLlk3kkUe(SXOLrMavuUCe(b'<'), chr(100) + chr(0b1000000 + 0o45) + chr(0b11000 + 0o113) + chr(0b1011110 + 0o21) + chr(0b10111 + 0o115) + chr(0b1100101))('\x75' + chr(0b1100 + 0o150) + chr(0b101110 + 0o70) + chr(294 - 249) + chr(56)).join(gIfWK5W_pmM4).strip()
return FRzF_AGYk44w
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
_align_bags
|
def _align_bags(predicted: List[Set[str]], gold: List[Set[str]]) -> List[float]:
"""
Takes gold and predicted answer sets and first finds a greedy 1-1 alignment
between them and gets maximum metric values over all the answers
"""
f1_scores = []
for gold_index, gold_item in enumerate(gold):
max_f1 = 0.0
max_index = None
best_alignment: Tuple[Set[str], Set[str]] = (set(), set())
if predicted:
for pred_index, pred_item in enumerate(predicted):
current_f1 = _compute_f1(pred_item, gold_item)
if current_f1 >= max_f1:
best_alignment = (gold_item, pred_item)
max_f1 = current_f1
max_index = pred_index
match_flag = _match_numbers_if_present(*best_alignment)
gold[gold_index] = set()
predicted[max_index] = set()
else:
match_flag = False
if match_flag:
f1_scores.append(max_f1)
else:
f1_scores.append(0.0)
return f1_scores
|
python
|
def _align_bags(predicted: List[Set[str]], gold: List[Set[str]]) -> List[float]:
"""
Takes gold and predicted answer sets and first finds a greedy 1-1 alignment
between them and gets maximum metric values over all the answers
"""
f1_scores = []
for gold_index, gold_item in enumerate(gold):
max_f1 = 0.0
max_index = None
best_alignment: Tuple[Set[str], Set[str]] = (set(), set())
if predicted:
for pred_index, pred_item in enumerate(predicted):
current_f1 = _compute_f1(pred_item, gold_item)
if current_f1 >= max_f1:
best_alignment = (gold_item, pred_item)
max_f1 = current_f1
max_index = pred_index
match_flag = _match_numbers_if_present(*best_alignment)
gold[gold_index] = set()
predicted[max_index] = set()
else:
match_flag = False
if match_flag:
f1_scores.append(max_f1)
else:
f1_scores.append(0.0)
return f1_scores
|
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] |
Takes gold and predicted answer sets and first finds a greedy 1-1 alignment
between them and gets maximum metric values over all the answers
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L73-L99
|
train
|
Given gold and predicted answer sets returns a list of scores that are the maximum metric values over all the answers
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(48) + chr(1659 - 1548) + chr(49) + chr(0b1 + 0o64) + chr(0b100 + 0o55), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(49) + chr(1733 - 1681) + chr(0b10010 + 0o42), 0b1000), ehT0Px3KOsy9(chr(0b101011 + 0o5) + '\x6f' + chr(1373 - 1323) + chr(0b110000) + chr(1550 - 1498), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10000 + 0o41) + chr(0b110110 + 0o1) + '\065', 0o10), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31' + '\x33', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + chr(50) + chr(0b110000), 53445 - 53437), ehT0Px3KOsy9(chr(48) + chr(9420 - 9309) + '\x32' + chr(51) + chr(0b110110), 41981 - 41973), ehT0Px3KOsy9(chr(0b101001 + 0o7) + chr(0b1101111) + chr(0b11100 + 0o27) + '\061' + chr(999 - 946), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b101000 + 0o11) + '\x34' + chr(0b100001 + 0o24), 0b1000), ehT0Px3KOsy9(chr(1086 - 1038) + '\x6f' + '\061' + chr(0b110110) + chr(2428 - 2374), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\065' + chr(0b100111 + 0o13), 0o10), ehT0Px3KOsy9(chr(0b1101 + 0o43) + chr(0b0 + 0o157) + chr(0b110010) + chr(49) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\066' + chr(48), 61649 - 61641), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x31' + '\065', 0o10), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + '\065' + chr(0b110001), 8), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(0b101110 + 0o10) + chr(2780 - 2727), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(1321 - 1267) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11011 + 0o27) + chr(1643 - 1590) + '\x30', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(50) + '\061' + chr(48), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(50) + chr(899 - 846) + '\063', 0o10), ehT0Px3KOsy9('\060' + chr(0b1010 + 0o145) + chr(0b110010) + chr(0b10100 + 0o37) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b110000 + 0o77) + chr(50) + chr(49), 6569 - 6561), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b1100 + 0o45) + '\x31' + chr(1892 - 1839), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(1307 - 1256) + '\061' + chr(55), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(0b11100 + 0o27) + chr(0b1110 + 0o42) + chr(0b110110), 37602 - 37594), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110001) + '\x33' + chr(0b110111), 25117 - 25109), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(444 - 393) + chr(49) + chr(2237 - 2187), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\x32' + '\063' + '\x34', 20263 - 20255), ehT0Px3KOsy9('\x30' + chr(0b1000011 + 0o54) + chr(0b110010) + chr(0b110101), 11874 - 11866), ehT0Px3KOsy9(chr(1669 - 1621) + '\x6f' + '\061' + chr(1206 - 1154) + chr(0b101000 + 0o17), ord("\x08")), ehT0Px3KOsy9(chr(918 - 870) + chr(0b1101111) + chr(52) + chr(53), 0b1000), ehT0Px3KOsy9(chr(0b100011 + 0o15) + '\x6f' + '\061' + chr(50) + '\x30', 4620 - 4612), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b110010) + '\060', 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + '\x31' + chr(1070 - 1016) + '\061', 0o10), ehT0Px3KOsy9('\x30' + chr(2605 - 2494) + chr(1869 - 1820) + chr(53) + chr(0b10001 + 0o46), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\x33' + '\063' + '\x31', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b111 + 0o150) + '\x32' + chr(0b1110 + 0o45) + chr(1808 - 1754), 8), ehT0Px3KOsy9('\x30' + chr(0b1101011 + 0o4) + chr(0b11011 + 0o26) + chr(0b110001) + chr(673 - 625), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110010) + '\060' + '\066', 49928 - 49920), ehT0Px3KOsy9('\060' + chr(0b11110 + 0o121) + '\062' + chr(2551 - 2499) + chr(0b101111 + 0o3), 53138 - 53130)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + chr(115 - 67), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'G'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + '\144' + chr(6333 - 6232))(chr(4467 - 4350) + '\x74' + '\x66' + chr(45) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def S9gs0WA0MFle(zljAUjbBWUdH, engLn_Bmu8eW) -> qRxF7OQ0y39T[kkSX4ccExqw4]:
EIzogWlMxCLS = []
for (LRPKfACGCTf4, UzAyDzl3_gce) in YlkZvXL8qwsX(engLn_Bmu8eW):
D6DHc8zObc4q = 0.0
WzS6HyMbnYkc = None
BJYjIU9umoBN = (MVEN8G6CxlvR(), MVEN8G6CxlvR())
if zljAUjbBWUdH:
for (nyvXiOLWSgKJ, u1IWT0A4_l9k) in YlkZvXL8qwsX(zljAUjbBWUdH):
wYiUJVneTwNF = rzlAlXQQCaFk(u1IWT0A4_l9k, UzAyDzl3_gce)
if wYiUJVneTwNF >= D6DHc8zObc4q:
BJYjIU9umoBN = (UzAyDzl3_gce, u1IWT0A4_l9k)
D6DHc8zObc4q = wYiUJVneTwNF
WzS6HyMbnYkc = nyvXiOLWSgKJ
OXKEA_be0gZP = fTtp3xYM7wn7(*BJYjIU9umoBN)
engLn_Bmu8eW[LRPKfACGCTf4] = MVEN8G6CxlvR()
zljAUjbBWUdH[WzS6HyMbnYkc] = MVEN8G6CxlvR()
else:
OXKEA_be0gZP = ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110000), 0o10)
if OXKEA_be0gZP:
xafqLlk3kkUe(EIzogWlMxCLS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x14\xf4\x18e\xb4'), chr(0b1010011 + 0o21) + chr(7819 - 7718) + chr(7507 - 7408) + '\157' + '\144' + '\145')(chr(4821 - 4704) + chr(9172 - 9056) + chr(0b100 + 0o142) + '\x2d' + chr(0b10110 + 0o42)))(D6DHc8zObc4q)
else:
xafqLlk3kkUe(EIzogWlMxCLS, xafqLlk3kkUe(SXOLrMavuUCe(b'\x08\x14\xf4\x18e\xb4'), chr(100) + '\x65' + '\x63' + '\x6f' + chr(0b110010 + 0o62) + chr(0b101001 + 0o74))(chr(117) + chr(0b1011 + 0o151) + chr(102) + '\x2d' + chr(56)))(0.0)
return EIzogWlMxCLS
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
get_metrics
|
def get_metrics(predicted: Union[str, List[str], Tuple[str, ...]],
gold: Union[str, List[str], Tuple[str, ...]]) -> Tuple[float, float]:
"""
Takes a predicted answer and a gold answer (that are both either a string or a list of
strings), and returns exact match and the DROP F1 metric for the prediction. If you are
writing a script for evaluating objects in memory (say, the output of predictions during
validation, or while training), this is the function you want to call, after using
:func:`answer_json_to_strings` when reading the gold answer from the released data file.
"""
predicted_bags = _answer_to_bags(predicted)
gold_bags = _answer_to_bags(gold)
exact_match = 1.0 if predicted_bags[0] == gold_bags[0] else 0
f1_per_bag = _align_bags(predicted_bags[1], gold_bags[1])
f1 = np.mean(f1_per_bag)
f1 = round(f1, 2)
return exact_match, f1
|
python
|
def get_metrics(predicted: Union[str, List[str], Tuple[str, ...]],
gold: Union[str, List[str], Tuple[str, ...]]) -> Tuple[float, float]:
"""
Takes a predicted answer and a gold answer (that are both either a string or a list of
strings), and returns exact match and the DROP F1 metric for the prediction. If you are
writing a script for evaluating objects in memory (say, the output of predictions during
validation, or while training), this is the function you want to call, after using
:func:`answer_json_to_strings` when reading the gold answer from the released data file.
"""
predicted_bags = _answer_to_bags(predicted)
gold_bags = _answer_to_bags(gold)
exact_match = 1.0 if predicted_bags[0] == gold_bags[0] else 0
f1_per_bag = _align_bags(predicted_bags[1], gold_bags[1])
f1 = np.mean(f1_per_bag)
f1 = round(f1, 2)
return exact_match, f1
|
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Takes a predicted answer and a gold answer (that are both either a string or a list of
strings), and returns exact match and the DROP F1 metric for the prediction. If you are
writing a script for evaluating objects in memory (say, the output of predictions during
validation, or while training), this is the function you want to call, after using
:func:`answer_json_to_strings` when reading the gold answer from the released data file.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L130-L147
|
train
|
Returns the metrics for the prediction and the DROP F1 metric for the gold answer.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + '\x6f' + chr(828 - 778) + '\060', 0o10), ehT0Px3KOsy9('\060' + chr(3613 - 3502) + '\x31' + chr(2827 - 2772) + chr(55), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\x31' + chr(0b110010) + chr(0b1011 + 0o52), 52615 - 52607), ehT0Px3KOsy9(chr(399 - 351) + '\x6f' + '\x32' + '\060' + '\x34', 4865 - 4857), ehT0Px3KOsy9(chr(161 - 113) + '\x6f' + chr(0b1 + 0o60) + '\064' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(1586 - 1538) + chr(4748 - 4637) + '\x35' + '\062', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001 + 0o146) + '\x32' + '\063' + chr(54), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1001010 + 0o45) + chr(0b100110 + 0o13) + chr(0b110010) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b110011) + '\067' + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b11001 + 0o31) + chr(53) + chr(0b11100 + 0o30), 42940 - 42932), ehT0Px3KOsy9(chr(469 - 421) + chr(0b1101111) + chr(2415 - 2364) + chr(2165 - 2111) + chr(55), 23435 - 23427), ehT0Px3KOsy9(chr(0b110000) + chr(0b1110 + 0o141) + '\061' + '\x34' + '\060', 25963 - 25955), ehT0Px3KOsy9(chr(0b100010 + 0o16) + '\157' + '\065' + chr(1383 - 1334), 0o10), ehT0Px3KOsy9(chr(0b101110 + 0o2) + '\157' + '\061' + chr(2359 - 2310) + '\064', 0b1000), ehT0Px3KOsy9('\060' + chr(0b1001001 + 0o46) + chr(0b110011) + '\064' + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1217 - 1169) + chr(2758 - 2647) + chr(50) + chr(53) + chr(0b11101 + 0o31), 0b1000), ehT0Px3KOsy9(chr(0b111 + 0o51) + chr(0b1101111) + chr(0b110111) + chr(796 - 743), 41716 - 41708), ehT0Px3KOsy9(chr(197 - 149) + chr(111) + chr(51) + '\064' + chr(0b0 + 0o66), 0o10), ehT0Px3KOsy9(chr(2169 - 2121) + chr(111) + '\062' + '\063' + chr(0b101001 + 0o10), ord("\x08")), ehT0Px3KOsy9(chr(0b11110 + 0o22) + chr(0b1101111) + chr(0b110010) + chr(0b11010 + 0o26) + '\067', 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b1111 + 0o43) + chr(55) + '\062', 0o10), ehT0Px3KOsy9(chr(1227 - 1179) + chr(0b1101111) + '\x32' + '\x35' + '\063', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(280 - 229) + '\x34', ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(4640 - 4529) + chr(1250 - 1201) + '\x34' + '\063', 0b1000), ehT0Px3KOsy9(chr(658 - 610) + chr(10239 - 10128) + chr(55) + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1566 - 1516) + '\x34' + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(111 - 63) + chr(111) + chr(0b110010) + chr(0b110000) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110011) + '\x37' + chr(1571 - 1522), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011011 + 0o24) + chr(646 - 597) + chr(1240 - 1187) + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(0b111101 + 0o62) + chr(0b11010 + 0o27) + chr(0b110010) + '\x36', 0o10), ehT0Px3KOsy9('\x30' + '\157' + '\063' + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(6375 - 6264) + '\063' + '\x35' + chr(48), 49643 - 49635), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110010) + chr(1341 - 1290) + chr(51), 0o10), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110001) + chr(0b110100 + 0o1) + chr(55), 2588 - 2580), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110010) + chr(2851 - 2796), 56409 - 56401), ehT0Px3KOsy9('\x30' + '\157' + chr(0b110011) + chr(55) + chr(0b1100 + 0o53), 0o10), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1111 + 0o42) + chr(0b110011) + chr(0b110001), 1640 - 1632), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + chr(48) + chr(0b11110 + 0o25), 0o10), ehT0Px3KOsy9(chr(1120 - 1072) + '\157' + '\x32' + '\066' + '\064', 0o10), ehT0Px3KOsy9(chr(0b1110 + 0o42) + '\x6f' + chr(2127 - 2076) + '\x37' + '\062', 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110101) + chr(0b110000), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'>'), chr(373 - 273) + '\x65' + '\x63' + chr(111) + '\x64' + '\145')(chr(0b111110 + 0o67) + chr(0b1110100) + chr(102) + '\055' + chr(0b10101 + 0o43)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def OX6sfedkWBvf(zljAUjbBWUdH, engLn_Bmu8eW) -> MRK8Uzg2En3D[kkSX4ccExqw4, kkSX4ccExqw4]:
mr9vVbUplnyT = zN4_PsS_cQwX(zljAUjbBWUdH)
RLvudEb44evp = zN4_PsS_cQwX(engLn_Bmu8eW)
BNBL9WZtZxed = 1.0 if mr9vVbUplnyT[ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(0b111101 + 0o62) + chr(48), 0o10)] == RLvudEb44evp[ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b110000), 8)] else ehT0Px3KOsy9('\060' + '\157' + chr(0b101011 + 0o5), 8)
sAgrKalvxF0R = S9gs0WA0MFle(mr9vVbUplnyT[ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x31', ord("\x08"))], RLvudEb44evp[ehT0Px3KOsy9('\x30' + chr(2226 - 2115) + chr(49), 8)])
dHCiiTHxprsx = WqUC3KWvYVup.aJhItC_Vawlw(sAgrKalvxF0R)
dHCiiTHxprsx = jB_HdqgHmVpI(dHCiiTHxprsx, ehT0Px3KOsy9(chr(453 - 405) + chr(0b1101111) + chr(0b110010), 0o10))
return (BNBL9WZtZxed, dHCiiTHxprsx)
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
answer_json_to_strings
|
def answer_json_to_strings(answer: Dict[str, Any]) -> Tuple[Tuple[str, ...], str]:
"""
Takes an answer JSON blob from the DROP data release and converts it into strings used for
evaluation.
"""
if "number" in answer and answer["number"]:
return tuple([str(answer["number"])]), "number"
elif "spans" in answer and answer["spans"]:
return tuple(answer["spans"]), "span" if len(answer["spans"]) == 1 else "spans"
elif "date" in answer:
return tuple(["{0} {1} {2}".format(answer["date"]["day"],
answer["date"]["month"],
answer["date"]["year"])]), "date"
else:
raise ValueError(f"Answer type not found, should be one of number, spans or date at: {json.dumps(answer)}")
|
python
|
def answer_json_to_strings(answer: Dict[str, Any]) -> Tuple[Tuple[str, ...], str]:
"""
Takes an answer JSON blob from the DROP data release and converts it into strings used for
evaluation.
"""
if "number" in answer and answer["number"]:
return tuple([str(answer["number"])]), "number"
elif "spans" in answer and answer["spans"]:
return tuple(answer["spans"]), "span" if len(answer["spans"]) == 1 else "spans"
elif "date" in answer:
return tuple(["{0} {1} {2}".format(answer["date"]["day"],
answer["date"]["month"],
answer["date"]["year"])]), "date"
else:
raise ValueError(f"Answer type not found, should be one of number, spans or date at: {json.dumps(answer)}")
|
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] |
Takes an answer JSON blob from the DROP data release and converts it into strings used for
evaluation.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L150-L164
|
train
|
Takes an answer JSON blob from the DROP data release and converts it into a list of strings used for evaluation.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9('\x30' + chr(343 - 232) + chr(0b101101 + 0o5) + '\x30' + '\066', ord("\x08")), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110001) + chr(0b1110 + 0o42), ord("\x08")), ehT0Px3KOsy9('\060' + chr(8001 - 7890) + chr(0b110100) + '\x36', 0b1000), ehT0Px3KOsy9(chr(0b10110 + 0o32) + '\x6f' + chr(0b110111) + chr(0b101111 + 0o6), 45078 - 45070), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110011) + chr(0b110011) + chr(0b1101 + 0o47), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b110 + 0o151) + chr(51) + chr(1189 - 1134) + chr(0b110111), 0o10), ehT0Px3KOsy9(chr(48) + chr(5180 - 5069) + chr(0b10001 + 0o40) + chr(727 - 675) + chr(52), 0o10), ehT0Px3KOsy9(chr(1722 - 1674) + '\157' + chr(0b1011 + 0o46) + chr(2370 - 2317) + '\x34', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101 + 0o142) + '\062' + chr(50) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b1100 + 0o47) + chr(1975 - 1921) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b10 + 0o61) + chr(2244 - 2196) + '\063', 0o10), ehT0Px3KOsy9(chr(977 - 929) + '\x6f' + chr(0b1010 + 0o51) + chr(64 - 16) + '\x32', 0o10), ehT0Px3KOsy9(chr(2198 - 2150) + chr(0b1101111 + 0o0) + chr(0b10110 + 0o35) + chr(2380 - 2329) + chr(0b110001 + 0o1), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\061' + chr(2627 - 2575) + chr(2186 - 2133), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + chr(0b10101 + 0o34) + chr(49) + chr(0b11111 + 0o26), 19155 - 19147), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b101000 + 0o11) + chr(48), 8), ehT0Px3KOsy9(chr(1122 - 1074) + '\157' + chr(0b10001 + 0o40) + chr(52) + '\x35', 8), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1201 - 1152) + chr(48) + '\x32', 0o10), ehT0Px3KOsy9(chr(0b11000 + 0o30) + '\157' + chr(0b111 + 0o56), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\065' + '\x30', 53999 - 53991), ehT0Px3KOsy9(chr(1660 - 1612) + '\x6f' + chr(0b110011) + chr(53) + chr(49), ord("\x08")), ehT0Px3KOsy9(chr(0b11 + 0o55) + chr(3796 - 3685) + chr(0b11011 + 0o33) + chr(1436 - 1386), 2609 - 2601), ehT0Px3KOsy9(chr(916 - 868) + chr(0b1101101 + 0o2) + chr(0b10010 + 0o37) + chr(0b100111 + 0o17) + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b110111 + 0o70) + chr(0b110011) + '\x30' + '\x36', 0b1000), ehT0Px3KOsy9(chr(1179 - 1131) + chr(10782 - 10671) + chr(1441 - 1392) + chr(0b110101) + '\066', 11087 - 11079), ehT0Px3KOsy9(chr(1161 - 1113) + chr(111) + '\x32' + '\063' + '\x30', 19926 - 19918), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\065' + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b110010) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(51) + '\x32' + '\x32', 0o10), ehT0Px3KOsy9('\060' + chr(3516 - 3405) + chr(54) + chr(54), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(0b10101 + 0o42) + chr(0b10110 + 0o41), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b1000 + 0o52) + chr(50) + chr(1599 - 1549), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\062' + chr(52) + chr(2369 - 2320), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(96 - 45) + chr(51) + chr(0b101010 + 0o15), 0b1000), ehT0Px3KOsy9(chr(897 - 849) + chr(10750 - 10639) + '\063' + chr(0b110 + 0o56) + chr(55), 4941 - 4933), ehT0Px3KOsy9(chr(48) + chr(0b101011 + 0o104) + '\063' + '\x36' + chr(0b101100 + 0o4), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(5670 - 5559) + '\061' + chr(0b110111) + chr(1724 - 1669), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110001) + chr(49) + '\067', 0b1000), ehT0Px3KOsy9(chr(0b10010 + 0o36) + chr(0b100101 + 0o112) + chr(0b1001 + 0o52) + '\x32' + '\067', 18652 - 18644), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(0b101000 + 0o16) + chr(0b101100 + 0o6), 7786 - 7778)][WVxHKyX45z_L % ehT0Px3KOsy9('\x30' + chr(0b10010 + 0o135) + chr(53) + chr(397 - 349), 8)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xa8'), '\144' + '\x65' + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(117) + chr(116) + '\x66' + chr(45) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def I7eYdMORi8o7(_aygkdacRfLD) -> MRK8Uzg2En3D[MRK8Uzg2En3D[M8_cKLkHVB2V, ...], M8_cKLkHVB2V]:
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8}K_\xb9\x8d'), chr(0b10100 + 0o120) + '\x65' + chr(0b1100011) + chr(0b110100 + 0o73) + chr(100) + '\x65')(chr(0b1110101) + chr(3483 - 3367) + chr(0b1100110) + chr(45) + '\070') in _aygkdacRfLD and _aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8}K_\xb9\x8d'), chr(0b1100100) + '\x65' + chr(0b1100011) + '\157' + chr(0b1010010 + 0o22) + chr(0b1100101))('\165' + '\164' + '\x66' + '\055' + chr(0b110 + 0o62))]:
return (KNyTy8rYcwji([M8_cKLkHVB2V(_aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8}K_\xb9\x8d'), chr(1905 - 1805) + '\x65' + chr(0b10011 + 0o120) + chr(111) + chr(9640 - 9540) + chr(0b1100101))('\x75' + chr(5573 - 5457) + chr(102) + '\x2d' + chr(56))])]), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe8}K_\xb9\x8d'), '\144' + '\145' + chr(6305 - 6206) + '\157' + chr(0b110001 + 0o63) + chr(0b101101 + 0o70))(chr(0b111010 + 0o73) + chr(2226 - 2110) + '\146' + chr(0b101101) + chr(56)))
elif xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS\xaf'), chr(6931 - 6831) + '\145' + '\143' + chr(0b0 + 0o157) + chr(8029 - 7929) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + chr(0b1111 + 0o127) + chr(0b101101) + chr(56)) in _aygkdacRfLD and _aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS\xaf'), chr(100) + chr(2314 - 2213) + chr(0b1010011 + 0o20) + chr(0b1001010 + 0o45) + '\144' + chr(0b1100101))('\x75' + '\164' + chr(102) + '\x2d' + chr(0b100101 + 0o23))]:
return (KNyTy8rYcwji(_aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS\xaf'), '\144' + chr(0b1100101) + chr(0b101011 + 0o70) + '\157' + chr(0b1100100) + chr(6408 - 6307))(chr(117) + chr(0b10010 + 0o142) + '\146' + '\x2d' + chr(0b110111 + 0o1))]), xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS'), chr(100) + '\x65' + chr(1575 - 1476) + chr(0b101101 + 0o102) + '\x64' + chr(0b111010 + 0o53))('\165' + chr(116) + '\x66' + '\055' + chr(56)) if c2A0yzQpDQB3(_aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS\xaf'), chr(9865 - 9765) + chr(0b1001001 + 0o34) + chr(8008 - 7909) + '\x6f' + chr(0b1100100) + '\145')('\x75' + '\164' + chr(0b1100101 + 0o1) + chr(45) + chr(503 - 447))]) == ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\061', 39000 - 38992) else xafqLlk3kkUe(SXOLrMavuUCe(b'\xf5xGS\xaf'), chr(0b11100 + 0o110) + '\x65' + chr(0b101010 + 0o71) + '\x6f' + chr(4103 - 4003) + '\x65')(chr(117) + '\164' + '\146' + chr(1939 - 1894) + chr(56)))
elif xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2iRX'), chr(0b1011001 + 0o13) + chr(8145 - 8044) + chr(306 - 207) + '\x6f' + chr(0b10000 + 0o124) + '\145')(chr(0b1110101) + '\164' + chr(102) + chr(1668 - 1623) + '\x38') in _aygkdacRfLD:
return (KNyTy8rYcwji([xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xfd8[\x1d\xa7\xce\x19L\xea\xc5\xbe'), chr(0b1010101 + 0o17) + '\145' + chr(0b10100 + 0o117) + chr(0b1101111) + chr(100) + '\x65')(chr(5699 - 5582) + chr(0b1110100) + chr(102) + chr(0b100101 + 0o10) + chr(1887 - 1831)), xafqLlk3kkUe(SXOLrMavuUCe(b'\xd0<TR\x94\x9e7_\xc1\x87\xa6\xa8'), '\x64' + '\145' + '\143' + chr(11805 - 11694) + chr(4216 - 4116) + chr(0b1000011 + 0o42))('\165' + '\x74' + '\x66' + chr(0b101101) + chr(2855 - 2799)))(_aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2iRX'), chr(0b1011100 + 0o10) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(101))(chr(8160 - 8043) + chr(116) + chr(0b1010011 + 0o23) + chr(45) + chr(2513 - 2457))][xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2i_'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + '\x64' + chr(101))('\x75' + chr(0b110001 + 0o103) + '\146' + '\x2d' + chr(0b111000))], _aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2iRX'), '\144' + chr(0b1100101) + '\143' + '\157' + '\144' + '\x65')(chr(0b1110101) + chr(0b100100 + 0o120) + '\146' + chr(45) + '\x38')][xafqLlk3kkUe(SXOLrMavuUCe(b'\xebgHI\xb4'), chr(0b111101 + 0o47) + chr(1493 - 1392) + '\x63' + '\157' + '\144' + '\145')(chr(0b1110101) + chr(0b1110100) + chr(0b1100110) + chr(0b100011 + 0o12) + '\x38')], _aygkdacRfLD[xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2iRX'), chr(100) + '\x65' + chr(0b111111 + 0o44) + '\x6f' + '\144' + '\145')('\165' + '\x74' + chr(102) + '\x2d' + '\x38')][xafqLlk3kkUe(SXOLrMavuUCe(b'\xffmGO'), chr(0b111 + 0o135) + '\145' + chr(0b1001110 + 0o25) + chr(0b100001 + 0o116) + '\x64' + '\x65')('\x75' + '\x74' + '\146' + chr(0b1111 + 0o36) + chr(0b1100 + 0o54))])]), xafqLlk3kkUe(SXOLrMavuUCe(b'\xe2iRX'), chr(1982 - 1882) + '\145' + chr(99) + '\157' + chr(7119 - 7019) + chr(101))(chr(0b1110101) + chr(10406 - 10290) + '\x66' + chr(45) + '\x38'))
else:
raise q1QCh3W88sgk(f"Answer type not found, should be one of number, spans or date at: {xafqLlk3kkUe(fXk443epxtd5, chr(100) + chr(3185 - 3068) + chr(109) + chr(0b1100101 + 0o13) + chr(12456 - 12341))(_aygkdacRfLD)}")
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
evaluate_json
|
def evaluate_json(annotations: Dict[str, Any], predicted_answers: Dict[str, Any]) -> Tuple[float, float]:
"""
Takes gold annotations and predicted answers and evaluates the predictions for each question
in the gold annotations. Both JSON dictionaries must have query_id keys, which are used to
match predictions to gold annotations (note that these are somewhat deep in the JSON for the
gold annotations, but must be top-level keys in the predicted answers).
The ``annotations`` are assumed to have the format of the dev set in the DROP data release.
The ``predicted_answers`` JSON must be a dictionary keyed by query id, where the value is a string
(or list of strings) that is the answer.
"""
instance_exact_match = []
instance_f1 = []
# for each type as well
type_to_em: Dict[str, List[float]] = defaultdict(list)
type_to_f1: Dict[str, List[float]] = defaultdict(list)
for _, annotation in annotations.items():
for qa_pair in annotation["qa_pairs"]:
query_id = qa_pair["query_id"]
max_em_score = 0.0
max_f1_score = 0.0
max_type = None
if query_id in predicted_answers:
predicted = predicted_answers[query_id]
candidate_answers = [qa_pair["answer"]]
if "validated_answers" in qa_pair and qa_pair["validated_answers"]:
candidate_answers += qa_pair["validated_answers"]
for answer in candidate_answers:
gold_answer, gold_type = answer_json_to_strings(answer)
em_score, f1_score = get_metrics(predicted, gold_answer)
if gold_answer[0].strip() != "":
max_em_score = max(max_em_score, em_score)
max_f1_score = max(max_f1_score, f1_score)
if max_em_score == em_score or max_f1_score == f1_score:
max_type = gold_type
else:
print("Missing prediction for question: {}".format(query_id))
if qa_pair and qa_pair["answer"]:
max_type = answer_json_to_strings(qa_pair["answer"])[1]
else:
max_type = "number"
max_em_score = 0.0
max_f1_score = 0.0
instance_exact_match.append(max_em_score)
instance_f1.append(max_f1_score)
type_to_em[max_type].append(max_em_score)
type_to_f1[max_type].append(max_f1_score)
global_em = np.mean(instance_exact_match)
global_f1 = np.mean(instance_f1)
print("Exact-match accuracy {0:.2f}".format(global_em * 100))
print("F1 score {0:.2f}".format(global_f1 * 100))
print("{0:.2f} & {1:.2f}".format(global_em * 100, global_f1 * 100))
print("----")
total = np.sum([len(v) for v in type_to_em.values()])
for typ in sorted(type_to_em.keys()):
print("{0}: {1} ({2:.2f}%)".format(typ, len(type_to_em[typ]), 100. * len(type_to_em[typ])/total))
print(" Exact-match accuracy {0:.3f}".format(100. * np.mean(type_to_em[typ])))
print(" F1 score {0:.3f}".format(100. * np.mean(type_to_f1[typ])))
return global_em, global_f1
|
python
|
def evaluate_json(annotations: Dict[str, Any], predicted_answers: Dict[str, Any]) -> Tuple[float, float]:
"""
Takes gold annotations and predicted answers and evaluates the predictions for each question
in the gold annotations. Both JSON dictionaries must have query_id keys, which are used to
match predictions to gold annotations (note that these are somewhat deep in the JSON for the
gold annotations, but must be top-level keys in the predicted answers).
The ``annotations`` are assumed to have the format of the dev set in the DROP data release.
The ``predicted_answers`` JSON must be a dictionary keyed by query id, where the value is a string
(or list of strings) that is the answer.
"""
instance_exact_match = []
instance_f1 = []
# for each type as well
type_to_em: Dict[str, List[float]] = defaultdict(list)
type_to_f1: Dict[str, List[float]] = defaultdict(list)
for _, annotation in annotations.items():
for qa_pair in annotation["qa_pairs"]:
query_id = qa_pair["query_id"]
max_em_score = 0.0
max_f1_score = 0.0
max_type = None
if query_id in predicted_answers:
predicted = predicted_answers[query_id]
candidate_answers = [qa_pair["answer"]]
if "validated_answers" in qa_pair and qa_pair["validated_answers"]:
candidate_answers += qa_pair["validated_answers"]
for answer in candidate_answers:
gold_answer, gold_type = answer_json_to_strings(answer)
em_score, f1_score = get_metrics(predicted, gold_answer)
if gold_answer[0].strip() != "":
max_em_score = max(max_em_score, em_score)
max_f1_score = max(max_f1_score, f1_score)
if max_em_score == em_score or max_f1_score == f1_score:
max_type = gold_type
else:
print("Missing prediction for question: {}".format(query_id))
if qa_pair and qa_pair["answer"]:
max_type = answer_json_to_strings(qa_pair["answer"])[1]
else:
max_type = "number"
max_em_score = 0.0
max_f1_score = 0.0
instance_exact_match.append(max_em_score)
instance_f1.append(max_f1_score)
type_to_em[max_type].append(max_em_score)
type_to_f1[max_type].append(max_f1_score)
global_em = np.mean(instance_exact_match)
global_f1 = np.mean(instance_f1)
print("Exact-match accuracy {0:.2f}".format(global_em * 100))
print("F1 score {0:.2f}".format(global_f1 * 100))
print("{0:.2f} & {1:.2f}".format(global_em * 100, global_f1 * 100))
print("----")
total = np.sum([len(v) for v in type_to_em.values()])
for typ in sorted(type_to_em.keys()):
print("{0}: {1} ({2:.2f}%)".format(typ, len(type_to_em[typ]), 100. * len(type_to_em[typ])/total))
print(" Exact-match accuracy {0:.3f}".format(100. * np.mean(type_to_em[typ])))
print(" F1 score {0:.3f}".format(100. * np.mean(type_to_f1[typ])))
return global_em, global_f1
|
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Takes gold annotations and predicted answers and evaluates the predictions for each question
in the gold annotations. Both JSON dictionaries must have query_id keys, which are used to
match predictions to gold annotations (note that these are somewhat deep in the JSON for the
gold annotations, but must be top-level keys in the predicted answers).
The ``annotations`` are assumed to have the format of the dev set in the DROP data release.
The ``predicted_answers`` JSON must be a dictionary keyed by query id, where the value is a string
(or list of strings) that is the answer.
|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L167-L226
|
train
|
Evaluate the JSON for each question in the gold annotations and predicted answers and returns the predicted answer and the best answer for each question in the gold annotations.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + '\157' + '\x33' + chr(0b110001) + chr(0b110011), 18060 - 18052), ehT0Px3KOsy9(chr(1099 - 1051) + '\157' + '\064' + chr(2137 - 2088), 28067 - 28059), ehT0Px3KOsy9(chr(1649 - 1601) + chr(0b1101000 + 0o7) + chr(1654 - 1603) + '\x32' + chr(2189 - 2135), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1011100 + 0o23) + chr(0b100101 + 0o15) + '\060' + chr(2470 - 2415), ord("\x08")), ehT0Px3KOsy9(chr(1046 - 998) + chr(111) + chr(1118 - 1067) + chr(55) + chr(1327 - 1274), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(9304 - 9193) + chr(158 - 107) + chr(448 - 399) + '\064', 32997 - 32989), ehT0Px3KOsy9(chr(1667 - 1619) + chr(0b1101 + 0o142) + '\062' + '\061' + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + chr(1452 - 1400) + chr(0b110000), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x33' + chr(0b1000 + 0o52), 52232 - 52224), ehT0Px3KOsy9(chr(0b110000) + chr(0b1001011 + 0o44) + chr(0b110100) + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(804 - 756) + '\x6f' + chr(50) + '\060' + '\066', 0o10), ehT0Px3KOsy9(chr(0b110000 + 0o0) + chr(6512 - 6401) + chr(1379 - 1329) + chr(0b110100) + '\066', 64219 - 64211), ehT0Px3KOsy9(chr(0b110000) + chr(4137 - 4026) + '\x31' + chr(0b110101), 0o10), ehT0Px3KOsy9(chr(48) + chr(3623 - 3512) + chr(0b110000), 31863 - 31855), ehT0Px3KOsy9(chr(48) + chr(111) + chr(51) + '\x37' + chr(50), 61777 - 61769), ehT0Px3KOsy9(chr(0b110000) + chr(0b111011 + 0o64) + chr(2323 - 2274) + '\060' + chr(49), 0b1000), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(131 - 20) + chr(51) + chr(50) + chr(0b110001), ord("\x08")), ehT0Px3KOsy9(chr(720 - 672) + chr(0b10100 + 0o133) + chr(1880 - 1829) + chr(53) + chr(0b110101), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(50) + chr(50) + chr(1998 - 1948), 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\063' + chr(0b110001) + '\067', 46442 - 46434), ehT0Px3KOsy9(chr(968 - 920) + chr(0b110000 + 0o77) + chr(51) + chr(54) + chr(54), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6466 - 6355) + '\x32' + chr(0b110111 + 0o0) + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(192 - 144) + '\157' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(4118 - 4007) + chr(50) + chr(50), 0o10), ehT0Px3KOsy9(chr(1907 - 1859) + chr(111) + chr(55) + chr(0b110000), 51807 - 51799), ehT0Px3KOsy9(chr(0b10000 + 0o40) + '\157' + chr(50) + '\061' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b110010) + chr(0b110101) + chr(0b110010 + 0o5), 0o10), ehT0Px3KOsy9(chr(430 - 382) + '\x6f' + '\063' + chr(0b100101 + 0o22) + chr(55), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b10001 + 0o136) + chr(0b100000 + 0o23) + chr(0b110010) + chr(0b110010), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b100011 + 0o114) + '\061' + '\063' + '\064', 30887 - 30879), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(510 - 460) + chr(48) + chr(0b110010), 0b1000), ehT0Px3KOsy9('\x30' + '\157' + '\x31' + chr(0b100101 + 0o16) + chr(51), 40049 - 40041), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(0b11010 + 0o30) + chr(1318 - 1267) + chr(0b110101), 0b1000), ehT0Px3KOsy9(chr(2005 - 1957) + '\x6f' + chr(0b100010 + 0o25) + chr(1327 - 1274), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(2432 - 2382) + chr(0b110011) + chr(49), 19080 - 19072), ehT0Px3KOsy9(chr(0b10000 + 0o40) + chr(0b1101111) + '\x32' + chr(55) + chr(1589 - 1535), 39481 - 39473), ehT0Px3KOsy9(chr(1395 - 1347) + chr(0b1101111) + chr(1664 - 1614) + chr(0b1000 + 0o52) + chr(1826 - 1772), 2889 - 2881), ehT0Px3KOsy9(chr(1050 - 1002) + chr(915 - 804) + chr(49) + chr(50) + '\067', 37091 - 37083), ehT0Px3KOsy9('\x30' + '\157' + chr(0b100111 + 0o13) + chr(0b100111 + 0o11) + '\062', 8), ehT0Px3KOsy9(chr(1218 - 1170) + chr(9727 - 9616) + chr(1330 - 1281) + '\065' + chr(0b100111 + 0o20), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b110000) + chr(7371 - 7260) + chr(53) + '\060', 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), '\x64' + chr(7919 - 7818) + chr(99) + chr(0b1001010 + 0o45) + chr(0b1100010 + 0o2) + chr(101))(chr(8925 - 8808) + chr(11150 - 11034) + chr(7459 - 7357) + chr(0b101101) + '\070') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def xbHkKbdEEqS6(zvbVkvaN64xd, GFZ18Pxw22Q7) -> MRK8Uzg2En3D[kkSX4ccExqw4, kkSX4ccExqw4]:
a_fw_rGO0jMX = []
VkyBNdlCWGci = []
BqXETVCTZK2A = rLgqW9imlCdX(YyaZ4tpXu4lf)
phohigUYsQkC = rLgqW9imlCdX(YyaZ4tpXu4lf)
for (VNGQdHSFPrso, vIc_73L45y1x) in xafqLlk3kkUe(zvbVkvaN64xd, xafqLlk3kkUe(SXOLrMavuUCe(b'\x85[\xa0\xe2\xb4\x96\xbci\xb6t\xce\x9f'), '\x64' + chr(906 - 805) + chr(99) + '\x6f' + chr(1980 - 1880) + '\x65')(chr(117) + '\x74' + '\146' + chr(0b100001 + 0o14) + chr(0b111000)))():
for LNhHqkZOJZkU in vIc_73L45y1x[xafqLlk3kkUe(SXOLrMavuUCe(b'\xba@\x89\xf7\x9c\xa5\xfdS'), '\x64' + '\145' + '\x63' + '\157' + '\x64' + '\145')(chr(0b1110101) + chr(0b100101 + 0o117) + chr(8003 - 7901) + '\055' + '\070')]:
xxl5e6WaaQRQ = LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbaT\xb3\xf5\x84\x93\xe6D'), chr(100) + '\145' + '\143' + chr(0b1101111) + '\144' + chr(7202 - 7101))('\x75' + '\164' + chr(0b1011000 + 0o16) + chr(0b101101) + chr(1956 - 1900))]
JLvL4HAUw_UX = 0.0
XclBmBWSEMsE = 0.0
UWh0MN3geQYr = None
if xxl5e6WaaQRQ in GFZ18Pxw22Q7:
zljAUjbBWUdH = GFZ18Pxw22Q7[xxl5e6WaaQRQ]
Gyu2eoK4DUN0 = [LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaO\xa5\xf0\x98\xbe'), chr(100) + chr(0b100110 + 0o77) + chr(682 - 583) + chr(111) + chr(0b1100100) + '\x65')('\165' + '\x74' + chr(102) + chr(0b101010 + 0o3) + chr(764 - 708))]]
if xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd@\xba\xee\x99\xad\xfbE\xbex\xe7\xc8~w\x9f3\xa2'), chr(0b111000 + 0o54) + chr(0b10000 + 0o125) + chr(0b101110 + 0o65) + chr(2214 - 2103) + '\x64' + chr(0b10001 + 0o124))(chr(117) + chr(116) + '\146' + chr(0b10111 + 0o26) + '\070') in LNhHqkZOJZkU and LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd@\xba\xee\x99\xad\xfbE\xbex\xe7\xc8~w\x9f3\xa2'), '\x64' + '\145' + chr(8314 - 8215) + chr(0b1101111) + '\x64' + chr(101))('\165' + chr(116) + chr(2445 - 2343) + chr(0b101101) + chr(56))]:
Gyu2eoK4DUN0 += LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd@\xba\xee\x99\xad\xfbE\xbex\xe7\xc8~w\x9f3\xa2'), chr(0b1100100) + '\x65' + chr(3950 - 3851) + chr(111) + chr(100 - 0) + chr(101))(chr(0b1001110 + 0o47) + '\164' + chr(5863 - 5761) + '\055' + chr(0b111000))]
for _aygkdacRfLD in Gyu2eoK4DUN0:
(J6oY8_kAF4hY, Nb66yhPMtY5E) = I7eYdMORi8o7(_aygkdacRfLD)
(j1ZiRTEYAXLD, RLuUMxwuKIGi) = OX6sfedkWBvf(zljAUjbBWUdH, J6oY8_kAF4hY)
if xafqLlk3kkUe(J6oY8_kAF4hY[ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x30', 8)], xafqLlk3kkUe(SXOLrMavuUCe(b'\xb8U\xa4\xee\x8d'), '\144' + chr(0b1100101) + chr(0b101010 + 0o71) + '\x6f' + chr(2796 - 2696) + '\x65')(chr(0b10 + 0o163) + chr(8375 - 8259) + chr(0b1100000 + 0o6) + chr(1658 - 1613) + chr(0b111000)))() != xafqLlk3kkUe(SXOLrMavuUCe(b''), chr(8005 - 7905) + chr(7739 - 7638) + chr(2451 - 2352) + chr(0b1101111) + chr(4709 - 4609) + chr(0b1100101))(chr(0b1110101) + '\x74' + '\x66' + chr(1025 - 980) + '\x38'):
JLvL4HAUw_UX = tsdjvlgh9gDP(JLvL4HAUw_UX, j1ZiRTEYAXLD)
XclBmBWSEMsE = tsdjvlgh9gDP(XclBmBWSEMsE, RLuUMxwuKIGi)
if JLvL4HAUw_UX == j1ZiRTEYAXLD or XclBmBWSEMsE == RLuUMxwuKIGi:
UWh0MN3geQYr = Nb66yhPMtY5E
else:
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\x86H\xa5\xf4\x94\xa2\xe8\x00\xaaU\xe3\xc2dc\x8e(\xbe\x83\xb2\xa9\x99\xce'cM\xee\xdc\x8b\xbb3\xeca\xbdF\xe4"), chr(5791 - 5691) + chr(1690 - 1589) + chr(99) + '\x6f' + chr(0b1000 + 0o134) + chr(9975 - 9874))(chr(117) + chr(2954 - 2838) + '\146' + chr(0b11000 + 0o25) + chr(56)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), '\x64' + chr(0b1100101) + chr(0b1100011) + chr(8389 - 8278) + '\x64' + chr(0b1100101))('\x75' + '\x74' + chr(102) + '\x2d' + chr(56)))(xxl5e6WaaQRQ))
if LNhHqkZOJZkU and LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaO\xa5\xf0\x98\xbe'), chr(8132 - 8032) + chr(0b1001101 + 0o30) + chr(99) + '\x6f' + chr(0b1100100) + '\x65')(chr(117) + chr(12781 - 12665) + chr(0b1010010 + 0o24) + chr(0b1000 + 0o45) + chr(0b111000))]:
UWh0MN3geQYr = I7eYdMORi8o7(LNhHqkZOJZkU[xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaO\xa5\xf0\x98\xbe'), chr(0b100100 + 0o100) + '\145' + chr(99) + chr(0b1101111) + chr(0b101111 + 0o65) + '\x65')('\x75' + chr(0b1110100) + '\x66' + chr(45) + chr(56))])[ehT0Px3KOsy9('\060' + chr(111) + chr(0b1111 + 0o42), ord("\x08"))]
else:
UWh0MN3geQYr = xafqLlk3kkUe(SXOLrMavuUCe(b'\xa5T\xbb\xe5\x98\xbe'), '\144' + '\x65' + chr(99) + '\157' + '\144' + chr(0b1100101))(chr(0b11 + 0o162) + chr(2107 - 1991) + chr(102) + '\x2d' + chr(0b10101 + 0o43))
JLvL4HAUw_UX = 0.0
XclBmBWSEMsE = 0.0
xafqLlk3kkUe(a_fw_rGO0jMX, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaQ\xa6\xe2\x93\xa8'), chr(426 - 326) + chr(0b111101 + 0o50) + chr(0b1100011) + chr(0b1101111) + chr(100) + chr(101))(chr(117) + chr(0b1110100) + '\146' + chr(0b100110 + 0o7) + chr(2945 - 2889)))(JLvL4HAUw_UX)
xafqLlk3kkUe(VkyBNdlCWGci, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaQ\xa6\xe2\x93\xa8'), '\x64' + '\x65' + '\143' + chr(111) + chr(0b1100100) + '\x65')(chr(4218 - 4101) + '\x74' + '\x66' + chr(1038 - 993) + '\x38'))(XclBmBWSEMsE)
xafqLlk3kkUe(BqXETVCTZK2A[UWh0MN3geQYr], xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaQ\xa6\xe2\x93\xa8'), chr(0b1100100) + chr(0b0 + 0o145) + chr(0b1100011) + chr(111) + chr(5510 - 5410) + '\x65')('\165' + chr(0b1001100 + 0o50) + chr(0b1001110 + 0o30) + chr(1581 - 1536) + chr(0b111000)))(JLvL4HAUw_UX)
xafqLlk3kkUe(phohigUYsQkC[UWh0MN3geQYr], xafqLlk3kkUe(SXOLrMavuUCe(b'\xaaQ\xa6\xe2\x93\xa8'), chr(0b1100100) + '\145' + '\x63' + chr(0b1101111) + chr(0b1100100) + chr(8430 - 8329))(chr(0b1001101 + 0o50) + chr(116) + '\146' + chr(1770 - 1725) + chr(0b111000)))(XclBmBWSEMsE)
aaRyRIQ5KOar = WqUC3KWvYVup.aJhItC_Vawlw(a_fw_rGO0jMX)
iAbNegFZ9BMv = WqUC3KWvYVup.aJhItC_Vawlw(VkyBNdlCWGci)
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8eY\xb7\xe4\x89\xe1\xe2A\xaeD\xee\x86lc\x994\xa3\x8c\xf1\xb6\xd6\xc77(\x16\xb9\xc9\x82'), chr(0b1100100) + chr(0b1100101 + 0o0) + chr(0b100001 + 0o102) + '\x6f' + chr(0b1100100) + '\145')(chr(0b100000 + 0o125) + '\164' + '\146' + chr(1863 - 1818) + chr(0b111000)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), chr(7548 - 7448) + '\x65' + chr(0b1100011) + '\157' + chr(0b1100100) + chr(3037 - 2936))(chr(0b1101000 + 0o15) + chr(0b1110100) + chr(0b1100110) + chr(45) + chr(0b111000)))(aaRyRIQ5KOar * ehT0Px3KOsy9('\x30' + chr(0b1001111 + 0o40) + '\061' + '\x34' + '\x34', ord("\x08"))))
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\x8d\x10\xf6\xf4\x9e\xa3\xfdE\xfa\\\xb6\x9c#2\x9c<'), chr(100) + chr(0b1100101) + chr(0b1100011) + chr(111) + '\144' + chr(101))('\165' + '\x74' + '\146' + chr(45) + chr(2979 - 2923)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), chr(1800 - 1700) + chr(0b1100101) + chr(7636 - 7537) + chr(0b1101111) + chr(0b1100100) + chr(0b1100101))(chr(117) + '\164' + chr(0b110 + 0o140) + chr(45) + chr(56)))(iAbNegFZ9BMv * ehT0Px3KOsy9(chr(703 - 655) + chr(111) + chr(0b110001) + chr(1826 - 1774) + chr(0b1101 + 0o47), 8)))
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x11\xec\xa9\xcf\xaa\xf2\x00\xfa\x07\xa0\x86- \x81p\xeb\xc3\xa0\xa9\x8b'), chr(0b100001 + 0o103) + chr(7162 - 7061) + chr(0b1100011) + chr(111) + chr(100) + chr(101))('\x75' + chr(116) + '\146' + chr(1450 - 1405) + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), chr(0b1000000 + 0o44) + '\x65' + chr(0b1100011) + '\x6f' + '\144' + chr(719 - 618))(chr(3374 - 3257) + chr(0b1001101 + 0o47) + '\146' + '\x2d' + chr(839 - 783)))(aaRyRIQ5KOar * ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x31' + chr(52) + chr(0b110100 + 0o0), 8), iAbNegFZ9BMv * ehT0Px3KOsy9('\060' + chr(0b1100100 + 0o13) + chr(0b110001) + '\064' + chr(0b110100), 8)))
zLUzGokYBM2Z(xafqLlk3kkUe(SXOLrMavuUCe(b'\xe6\x0c\xfb\xaa'), chr(0b1100100) + chr(0b1100101) + chr(0b1100011) + chr(0b1011110 + 0o21) + '\144' + chr(7019 - 6918))('\165' + chr(116) + chr(1641 - 1539) + chr(0b101101) + chr(0b111 + 0o61)))
K6dkrI1oAm5b = WqUC3KWvYVup.xkxBmo49x2An([c2A0yzQpDQB3(cMbll0QYhULo) for cMbll0QYhULo in BqXETVCTZK2A.SPnCNu54H1db()])
for bpaEEKQUs94d in vUlqIvNSaRMa(xafqLlk3kkUe(BqXETVCTZK2A, xafqLlk3kkUe(SXOLrMavuUCe(b'\xa0D\xaf\xf4'), chr(0b1100100) + chr(101) + chr(0b0 + 0o143) + chr(0b111110 + 0o61) + chr(0b10100 + 0o120) + '\x65')('\165' + '\x74' + chr(102) + '\x2d' + chr(72 - 16)))()):
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\xb0\x11\xab\xbd\xdd\xb7\xbe]\xfa\x0f\xfd\x947.\xc8'\xac\xc8\xbb"), chr(1977 - 1877) + chr(101) + chr(0b1100011) + chr(111) + chr(100) + chr(0b1100101))(chr(12579 - 12462) + chr(116) + chr(0b1100110) + '\055' + '\x38'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), '\x64' + '\145' + chr(99) + '\x6f' + chr(0b1010 + 0o132) + chr(0b111110 + 0o47))(chr(117) + chr(3806 - 3690) + chr(0b1100110) + chr(45) + '\x38'))(bpaEEKQUs94d, c2A0yzQpDQB3(BqXETVCTZK2A[bpaEEKQUs94d]), 100.0 * c2A0yzQpDQB3(BqXETVCTZK2A[bpaEEKQUs94d]) / K6dkrI1oAm5b))
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x01\x93\xff\x9c\xaf\xfb\r\xb7F\xf2\xc5e \x9b"\xb2\x98\xe0\xae\x95\xc5\'i\x08\xb1\x81\xcc\xb4!'), chr(100) + '\x65' + '\143' + chr(111) + chr(6358 - 6258) + chr(8623 - 8522))(chr(0b1110101) + chr(11699 - 11583) + chr(7080 - 6978) + '\x2d' + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), chr(0b1100100) + chr(9128 - 9027) + chr(1189 - 1090) + chr(9993 - 9882) + chr(0b1000010 + 0o42) + chr(0b1100101))('\165' + chr(0b1110100) + '\146' + '\x2d' + chr(0b110001 + 0o7)))(100.0 * xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaak\xbe\xce\x89\x8f\xd0v\xbbP\xea\xd1'), chr(0b1100011 + 0o1) + chr(0b1000101 + 0o40) + chr(0b1000000 + 0o43) + chr(111) + chr(0b1100100) + '\145')('\165' + chr(116) + '\x66' + '\055' + chr(0b111000)))(BqXETVCTZK2A[bpaEEKQUs94d])))
zLUzGokYBM2Z(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b'\xeb\x01\x90\xb6\xdd\xbf\xecO\xa8B\xa6\xdd=:\xd4r\xb7\x90'), chr(0b1000 + 0o134) + chr(6294 - 6193) + chr(99) + chr(164 - 53) + chr(0b1010110 + 0o16) + chr(101))(chr(11991 - 11874) + chr(116) + chr(3468 - 3366) + '\x2d' + chr(0b11010 + 0o36)), xafqLlk3kkUe(SXOLrMavuUCe(b'\x9d\x15\xa4\xe8\xb5\xad\xdc\x13\x8aW\xe3\xcc'), chr(0b1000101 + 0o37) + chr(101) + chr(0b110110 + 0o55) + chr(7830 - 7719) + '\x64' + '\x65')(chr(0b1010011 + 0o42) + chr(0b11001 + 0o133) + chr(0b1100110) + chr(0b101101) + '\x38'))(100.0 * xafqLlk3kkUe(WqUC3KWvYVup, xafqLlk3kkUe(SXOLrMavuUCe(b'\xaak\xbe\xce\x89\x8f\xd0v\xbbP\xea\xd1'), chr(0b1110 + 0o126) + chr(4530 - 4429) + chr(9346 - 9247) + '\x6f' + chr(0b110110 + 0o56) + chr(0b1100101))('\165' + chr(116) + '\x66' + '\x2d' + '\070'))(phohigUYsQkC[bpaEEKQUs94d])))
return (aaRyRIQ5KOar, iAbNegFZ9BMv)
|
allenai/allennlp
|
allennlp/tools/drop_eval.py
|
evaluate_prediction_file
|
def evaluate_prediction_file(prediction_path: str, gold_path: str) -> Tuple[float, float]:
"""
Takes a prediction file and a gold file and evaluates the predictions for each question in the
gold file. Both files must be json formatted and must have query_id keys, which are used to
match predictions to gold annotations. The gold file is assumed to have the format of the dev
set in the DROP data release. The prediction file must be a JSON dictionary keyed by query id,
where the value is either a JSON dictionary with an "answer" key, or just a string (or list of
strings) that is the answer.
"""
predicted_answers = json.load(open(prediction_path, encoding='utf-8'))
annotations = json.load(open(gold_path, encoding='utf-8'))
return evaluate_json(annotations, predicted_answers)
|
python
|
def evaluate_prediction_file(prediction_path: str, gold_path: str) -> Tuple[float, float]:
"""
Takes a prediction file and a gold file and evaluates the predictions for each question in the
gold file. Both files must be json formatted and must have query_id keys, which are used to
match predictions to gold annotations. The gold file is assumed to have the format of the dev
set in the DROP data release. The prediction file must be a JSON dictionary keyed by query id,
where the value is either a JSON dictionary with an "answer" key, or just a string (or list of
strings) that is the answer.
"""
predicted_answers = json.load(open(prediction_path, encoding='utf-8'))
annotations = json.load(open(gold_path, encoding='utf-8'))
return evaluate_json(annotations, predicted_answers)
|
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set in the DROP data release. The prediction file must be a JSON dictionary keyed by query id,
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|
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648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/tools/drop_eval.py#L229-L240
|
train
|
Takes a prediction file and a gold file and evaluates the predictions for each question in the
.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(10416 - 10305) + chr(0b110011) + '\067' + '\061', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b110011) + chr(0b100011 + 0o24) + chr(1776 - 1722), ord("\x08")), ehT0Px3KOsy9(chr(1078 - 1030) + '\157' + '\x33' + chr(2670 - 2615) + chr(0b110111), 0b1000), ehT0Px3KOsy9('\060' + '\x6f' + chr(1047 - 997) + chr(0b110010) + '\x34', 0o10), ehT0Px3KOsy9(chr(801 - 753) + '\157' + chr(49) + chr(51) + chr(0b100111 + 0o12), 0b1000), ehT0Px3KOsy9(chr(923 - 875) + chr(0b1101111) + chr(627 - 577) + chr(0b110001) + chr(51), 0o10), ehT0Px3KOsy9(chr(876 - 828) + chr(0b1101111) + '\x31' + chr(53) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(1506 - 1457) + chr(0b10101 + 0o41), 42613 - 42605), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(52) + '\060', ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + '\062' + chr(0b110100), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1100111 + 0o10) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\062' + '\x36' + '\065', 0b1000), ehT0Px3KOsy9(chr(48) + chr(6939 - 6828) + chr(50) + chr(0b110000) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(0b10001 + 0o42) + '\063' + chr(1660 - 1610), 0o10), ehT0Px3KOsy9(chr(0b101011 + 0o5) + chr(0b1101111) + chr(0b110001) + '\x30', 0b1000), ehT0Px3KOsy9('\x30' + chr(0b101001 + 0o106) + chr(49) + chr(0b110101) + chr(0b101100 + 0o13), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b10 + 0o155) + chr(50) + chr(0b110011), ord("\x08")), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(0b110 + 0o57) + chr(52), 32080 - 32072), ehT0Px3KOsy9('\x30' + '\x6f' + '\062' + chr(1227 - 1176), 8), ehT0Px3KOsy9(chr(0b1 + 0o57) + chr(5218 - 5107) + chr(49) + '\x36' + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(2545 - 2490) + chr(0b110001), 8), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(51) + chr(50), 0b1000), ehT0Px3KOsy9(chr(2199 - 2151) + '\157' + chr(0b110001) + '\063' + '\x35', ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(0b11111 + 0o24) + '\064' + '\063', 37266 - 37258), ehT0Px3KOsy9(chr(0b1111 + 0o41) + '\157' + chr(1541 - 1491) + chr(49) + chr(55), 0o10), ehT0Px3KOsy9('\x30' + chr(111) + '\x37' + chr(302 - 252), ord("\x08")), ehT0Px3KOsy9(chr(1636 - 1588) + '\157' + chr(50) + chr(0b110001 + 0o5) + chr(2654 - 2601), 8), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + chr(1413 - 1363) + chr(0b110000 + 0o1) + chr(55), 8), ehT0Px3KOsy9('\060' + chr(111) + '\063' + chr(54) + '\061', 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(51) + chr(52) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(111) + '\x32' + '\x37' + chr(121 - 67), 902 - 894), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(52) + chr(0b100011 + 0o20), 0o10), ehT0Px3KOsy9('\060' + chr(0b111010 + 0o65) + chr(0b100 + 0o57) + chr(0b110101) + chr(0b110111), 0o10), ehT0Px3KOsy9('\x30' + chr(10750 - 10639) + chr(0b110 + 0o54) + chr(0b110000) + '\x30', 46653 - 46645), ehT0Px3KOsy9('\060' + chr(0b1010101 + 0o32) + '\x33' + '\064' + chr(2414 - 2360), 43949 - 43941), ehT0Px3KOsy9(chr(0b110000) + chr(7214 - 7103) + '\062' + chr(2362 - 2308) + chr(53), 8), ehT0Px3KOsy9(chr(48) + chr(111) + '\x32' + chr(0b110101) + chr(53), 23769 - 23761), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110 + 0o53) + chr(0b110011) + chr(55), 50408 - 50400), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(52) + '\x37', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9('\060' + '\157' + '\x35' + chr(0b110000), 0o10)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xd7'), chr(3316 - 3216) + chr(0b1100101) + chr(0b110000 + 0o63) + chr(0b1101111) + chr(100) + chr(101))(chr(0b1100010 + 0o23) + chr(116) + chr(0b1100110) + chr(1909 - 1864) + chr(0b101010 + 0o16)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def uzor88NWYkIa(KS9vajbb9ibu, R2MnwjfXJB4C) -> MRK8Uzg2En3D[kkSX4ccExqw4, kkSX4ccExqw4]:
GFZ18Pxw22Q7 = fXk443epxtd5.mxtdQMeiwJZJ(_fwkIVCGgtAN(KS9vajbb9ibu, encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x8a\x99\xb9a'), chr(0b110001 + 0o63) + chr(2525 - 2424) + chr(0b1100010 + 0o1) + '\157' + '\144' + chr(0b1100101))(chr(1876 - 1759) + '\164' + chr(4822 - 4720) + '\x2d' + '\x38')))
zvbVkvaN64xd = fXk443epxtd5.mxtdQMeiwJZJ(_fwkIVCGgtAN(R2MnwjfXJB4C, encoding=xafqLlk3kkUe(SXOLrMavuUCe(b'\x8c\x8a\x99\xb9a'), chr(0b1100100) + '\x65' + chr(0b1100011) + chr(0b1101111) + chr(2900 - 2800) + chr(9950 - 9849))('\165' + chr(5765 - 5649) + chr(0b1100110) + '\x2d' + chr(0b101001 + 0o17))))
return xbHkKbdEEqS6(zvbVkvaN64xd, GFZ18Pxw22Q7)
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_reader.py
|
DatasetReader.cache_data
|
def cache_data(self, cache_directory: str) -> None:
"""
When you call this method, we will use this directory to store a cache of already-processed
``Instances`` in every file passed to :func:`read`, serialized as one string-formatted
``Instance`` per line. If the cache file for a given ``file_path`` exists, we read the
``Instances`` from the cache instead of re-processing the data (using
:func:`deserialize_instance`). If the cache file does `not` exist, we will `create` it on
our first pass through the data (using :func:`serialize_instance`).
IMPORTANT CAVEAT: It is the `caller's` responsibility to make sure that this directory is
unique for any combination of code and parameters that you use. That is, if you call this
method, we will use any existing cache files in that directory `regardless of the
parameters you set for this DatasetReader!` If you use our commands, the ``Train`` command
is responsible for calling this method and ensuring that unique parameters correspond to
unique cache directories. If you don't use our commands, that is your responsibility.
"""
self._cache_directory = pathlib.Path(cache_directory)
os.makedirs(self._cache_directory, exist_ok=True)
|
python
|
def cache_data(self, cache_directory: str) -> None:
"""
When you call this method, we will use this directory to store a cache of already-processed
``Instances`` in every file passed to :func:`read`, serialized as one string-formatted
``Instance`` per line. If the cache file for a given ``file_path`` exists, we read the
``Instances`` from the cache instead of re-processing the data (using
:func:`deserialize_instance`). If the cache file does `not` exist, we will `create` it on
our first pass through the data (using :func:`serialize_instance`).
IMPORTANT CAVEAT: It is the `caller's` responsibility to make sure that this directory is
unique for any combination of code and parameters that you use. That is, if you call this
method, we will use any existing cache files in that directory `regardless of the
parameters you set for this DatasetReader!` If you use our commands, the ``Train`` command
is responsible for calling this method and ensuring that unique parameters correspond to
unique cache directories. If you don't use our commands, that is your responsibility.
"""
self._cache_directory = pathlib.Path(cache_directory)
os.makedirs(self._cache_directory, exist_ok=True)
|
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"_cache_directory",
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"os",
".",
"makedirs",
"(",
"self",
".",
"_cache_directory",
",",
"exist_ok",
"=",
"True",
")"
] |
When you call this method, we will use this directory to store a cache of already-processed
``Instances`` in every file passed to :func:`read`, serialized as one string-formatted
``Instance`` per line. If the cache file for a given ``file_path`` exists, we read the
``Instances`` from the cache instead of re-processing the data (using
:func:`deserialize_instance`). If the cache file does `not` exist, we will `create` it on
our first pass through the data (using :func:`serialize_instance`).
IMPORTANT CAVEAT: It is the `caller's` responsibility to make sure that this directory is
unique for any combination of code and parameters that you use. That is, if you call this
method, we will use any existing cache files in that directory `regardless of the
parameters you set for this DatasetReader!` If you use our commands, the ``Train`` command
is responsible for calling this method and ensuring that unique parameters correspond to
unique cache directories. If you don't use our commands, that is your responsibility.
|
[
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_reader.py#L72-L89
|
train
|
This method will cache the data for a given set of items in a given directory.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110001) + '\x30', 15220 - 15212), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110001) + chr(48) + '\x37', 27199 - 27191), ehT0Px3KOsy9(chr(456 - 408) + '\157' + '\x31' + chr(2632 - 2579) + chr(0b10100 + 0o41), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\062', ord("\x08")), ehT0Px3KOsy9(chr(1267 - 1219) + chr(111) + chr(50) + chr(54) + chr(0b101111 + 0o7), 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b101101 + 0o4) + chr(0b110010 + 0o0) + chr(0b110011), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b110110) + chr(1544 - 1489), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(6941 - 6830) + '\062' + chr(0b110110) + '\x32', 0o10), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b110101) + chr(1042 - 991), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(1931 - 1881) + '\x32' + '\067', ord("\x08")), ehT0Px3KOsy9(chr(686 - 638) + chr(111) + chr(0b100001 + 0o26) + chr(0b101101 + 0o7), 0b1000), ehT0Px3KOsy9(chr(2155 - 2107) + '\157' + chr(2474 - 2424) + '\066' + chr(0b110101), 29412 - 29404), ehT0Px3KOsy9(chr(48) + chr(111) + '\x30', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(805 - 756) + '\x33', 0o10), ehT0Px3KOsy9(chr(1390 - 1342) + '\x6f' + '\061' + chr(0b101100 + 0o6) + chr(1842 - 1792), ord("\x08")), ehT0Px3KOsy9(chr(802 - 754) + '\157' + chr(0b110010) + chr(49) + chr(52), 0b1000), ehT0Px3KOsy9(chr(0b100101 + 0o13) + chr(4098 - 3987) + chr(1387 - 1336) + '\064' + chr(0b110001), 0b1000), ehT0Px3KOsy9('\060' + chr(111) + chr(0b110010) + chr(2562 - 2511) + '\066', 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x34' + chr(0b110001), 0b1000), ehT0Px3KOsy9(chr(67 - 19) + '\157' + '\x31' + '\066' + '\x31', 58309 - 58301), ehT0Px3KOsy9(chr(1620 - 1572) + chr(111) + '\064' + '\066', ord("\x08")), ehT0Px3KOsy9(chr(0b1100 + 0o44) + '\x6f' + '\x33' + chr(1993 - 1940), ord("\x08")), ehT0Px3KOsy9(chr(0b101010 + 0o6) + chr(0b1101111) + chr(0b110010) + chr(0b100010 + 0o17), 13349 - 13341), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(50) + '\x31' + chr(0b100000 + 0o24), 8), ehT0Px3KOsy9(chr(0b101101 + 0o3) + '\x6f' + chr(0b11001 + 0o32) + chr(2060 - 2010) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\060' + chr(0b1101111) + '\061' + '\x35' + chr(2647 - 2592), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(111) + '\062' + chr(50) + chr(0b110000), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\061' + chr(52) + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(1185 - 1137) + chr(0b110011 + 0o74) + chr(1380 - 1330), 8), ehT0Px3KOsy9(chr(1629 - 1581) + chr(3103 - 2992) + chr(0b100101 + 0o16) + '\x36' + '\x31', 0b1000), ehT0Px3KOsy9(chr(2138 - 2090) + chr(0b1101111) + chr(0b1101 + 0o44) + chr(2656 - 2603) + chr(0b111 + 0o54), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b110010) + chr(0b110111) + chr(0b1010 + 0o47), 46515 - 46507), ehT0Px3KOsy9('\x30' + chr(111) + chr(49) + '\x37' + chr(0b110001 + 0o2), 23753 - 23745), ehT0Px3KOsy9(chr(0b110000) + chr(822 - 711) + chr(0b11 + 0o60) + chr(0b110011) + chr(0b1 + 0o64), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(51) + '\x35' + '\061', 6490 - 6482), ehT0Px3KOsy9(chr(0b11000 + 0o30) + chr(111) + chr(0b11010 + 0o30) + '\063' + '\x34', 0o10), ehT0Px3KOsy9('\060' + chr(111) + chr(1184 - 1133) + '\062' + chr(54), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(7715 - 7604) + '\x31' + '\064' + '\x36', 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + chr(50) + chr(1980 - 1932) + chr(0b10111 + 0o34), 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + '\063' + '\x34' + '\x30', ord("\x08"))][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b10100 + 0o41) + chr(0b100010 + 0o16), ord("\x08"))] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'&'), chr(7853 - 7753) + '\x65' + chr(2884 - 2785) + '\157' + chr(273 - 173) + '\x65')(chr(5901 - 5784) + chr(0b1011100 + 0o30) + chr(10013 - 9911) + chr(0b101101) + '\x38') + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def gJnz1fuHCqy5(oVre8I6UXc3b, If0YRWOIVmUY) -> None:
oVre8I6UXc3b.RrObmdGekwZk = WAMIfYuFYgQW.Path(If0YRWOIVmUY)
xafqLlk3kkUe(oqhJDdMJfuwx, xafqLlk3kkUe(SXOLrMavuUCe(b'e&\x06g\xd2:E\xc1'), '\144' + '\x65' + '\x63' + chr(0b1101111) + '\144' + chr(0b1010 + 0o133))(chr(1228 - 1111) + chr(7012 - 6896) + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'Z5"`\xdb7p\xd7@\xe0f\xde'), chr(7272 - 7172) + '\145' + chr(99) + chr(10921 - 10810) + '\144' + '\145')('\x75' + '\164' + '\x66' + chr(45) + chr(881 - 825))), exist_ok=ehT0Px3KOsy9('\x30' + chr(111) + chr(0b110001), ord("\x08")))
|
allenai/allennlp
|
allennlp/data/dataset_readers/dataset_reader.py
|
DatasetReader.read
|
def read(self, file_path: str) -> Iterable[Instance]:
"""
Returns an ``Iterable`` containing all the instances
in the specified dataset.
If ``self.lazy`` is False, this calls ``self._read()``,
ensures that the result is a list, then returns the resulting list.
If ``self.lazy`` is True, this returns an object whose
``__iter__`` method calls ``self._read()`` each iteration.
In this case your implementation of ``_read()`` must also be lazy
(that is, not load all instances into memory at once), otherwise
you will get a ``ConfigurationError``.
In either case, the returned ``Iterable`` can be iterated
over multiple times. It's unlikely you want to override this function,
but if you do your result should likewise be repeatedly iterable.
"""
lazy = getattr(self, 'lazy', None)
if lazy is None:
logger.warning("DatasetReader.lazy is not set, "
"did you forget to call the superclass constructor?")
if self._cache_directory:
cache_file = self._get_cache_location_for_file_path(file_path)
else:
cache_file = None
if lazy:
return _LazyInstances(lambda: self._read(file_path),
cache_file,
self.deserialize_instance,
self.serialize_instance)
else:
# First we read the instances, either from a cache or from the original file.
if cache_file and os.path.exists(cache_file):
instances = self._instances_from_cache_file(cache_file)
else:
instances = self._read(file_path)
# Then some validation.
if not isinstance(instances, list):
instances = [instance for instance in Tqdm.tqdm(instances)]
if not instances:
raise ConfigurationError("No instances were read from the given filepath {}. "
"Is the path correct?".format(file_path))
# And finally we write to the cache if we need to.
if cache_file and not os.path.exists(cache_file):
logger.info(f"Caching instances to {cache_file}")
with open(cache_file, 'w') as cache:
for instance in Tqdm.tqdm(instances):
cache.write(self.serialize_instance(instance) + '\n')
return instances
|
python
|
def read(self, file_path: str) -> Iterable[Instance]:
"""
Returns an ``Iterable`` containing all the instances
in the specified dataset.
If ``self.lazy`` is False, this calls ``self._read()``,
ensures that the result is a list, then returns the resulting list.
If ``self.lazy`` is True, this returns an object whose
``__iter__`` method calls ``self._read()`` each iteration.
In this case your implementation of ``_read()`` must also be lazy
(that is, not load all instances into memory at once), otherwise
you will get a ``ConfigurationError``.
In either case, the returned ``Iterable`` can be iterated
over multiple times. It's unlikely you want to override this function,
but if you do your result should likewise be repeatedly iterable.
"""
lazy = getattr(self, 'lazy', None)
if lazy is None:
logger.warning("DatasetReader.lazy is not set, "
"did you forget to call the superclass constructor?")
if self._cache_directory:
cache_file = self._get_cache_location_for_file_path(file_path)
else:
cache_file = None
if lazy:
return _LazyInstances(lambda: self._read(file_path),
cache_file,
self.deserialize_instance,
self.serialize_instance)
else:
# First we read the instances, either from a cache or from the original file.
if cache_file and os.path.exists(cache_file):
instances = self._instances_from_cache_file(cache_file)
else:
instances = self._read(file_path)
# Then some validation.
if not isinstance(instances, list):
instances = [instance for instance in Tqdm.tqdm(instances)]
if not instances:
raise ConfigurationError("No instances were read from the given filepath {}. "
"Is the path correct?".format(file_path))
# And finally we write to the cache if we need to.
if cache_file and not os.path.exists(cache_file):
logger.info(f"Caching instances to {cache_file}")
with open(cache_file, 'w') as cache:
for instance in Tqdm.tqdm(instances):
cache.write(self.serialize_instance(instance) + '\n')
return instances
|
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] |
Returns an ``Iterable`` containing all the instances
in the specified dataset.
If ``self.lazy`` is False, this calls ``self._read()``,
ensures that the result is a list, then returns the resulting list.
If ``self.lazy`` is True, this returns an object whose
``__iter__`` method calls ``self._read()`` each iteration.
In this case your implementation of ``_read()`` must also be lazy
(that is, not load all instances into memory at once), otherwise
you will get a ``ConfigurationError``.
In either case, the returned ``Iterable`` can be iterated
over multiple times. It's unlikely you want to override this function,
but if you do your result should likewise be repeatedly iterable.
|
[
"Returns",
"an",
"Iterable",
"containing",
"all",
"the",
"instances",
"in",
"the",
"specified",
"dataset",
"."
] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/data/dataset_readers/dataset_reader.py#L91-L145
|
train
|
Reads the specified file and returns an iterable of all the instances in the specified dataset.
|
Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGLtp_O,sR2sPcm7Zrfn,yROw0HWBk0Qc,j9rjMYnN2BMp,hIlP7994qj8O,_fsda0v2_OKU,o0CgT5HPthxA,DXjfarvgFnbl,RQ6CSRrFArYB,RouZF7bjEXAv,jIl9qoALCRyb,bdLuls3EQFSd,FXUco0R3m83n,V5s4UV3vwoyK,Q6d3QdTENfxw,sbc9gub6LIFp,QWgp4ELTmqy4,_zJ24Vce7wp0,KlPSljPzIJ_u,N5Ee6d9YGQ_x,yDcnbVVBZ5VZ,OTstrxJfIC1n,GXwwnDRMCHJX,a9IKoVgO_m3w,GNd6AVvhYicE,ixtrydDuthdu,n0ZkatoveZpF,eh4BeXwijHpf,ZMHESMWYyt8h,hr2QaoivbFQ2,Iiw8L0MH5qfg,koCeDPYTrOFe,qqrhSmCSbbqk,pz9FlfzsWoy1,BXIwDASQ0Qkq,NL8dtWOpbcjF,_bikzMuRfbJG,sznFqDbNBHlx,ZsDPvpP4xdo3,cW7yQuyEnJ6E,KOHQGQ8qLDWm,NE1Yam2HHroQ,ygAzbDzrvRMh,SBRjvOU1ufVC,hOkXjmluKZfJ,q1QCh3W88sgk,TLbJ60djyws0,rIcPej9ZqMqV,WTxpD_zsEOh2,LgE_IO_tHXvM,Kk1hd194VKEC,OZYzwAeSQh7N,jFWsnpHpAUWz,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp,Lt3jp3Wjtj_1,OgxWTx4GSNFx,Dl48nj1rbi23,gUjKZptQBOom,UVSi4XW7eBIM,TtvdWC885wQi,hyjPAJYKYCCT,WbBjf8Y7v9VN,LXFmLC1F9ebP,QC9iu2kLpS8s,QOfmzcVJsrp8,tzcpInYwBvYW,iDQ_gSK8V7h0,Rurm1zTRfSmY,reqGiMiVQ77y,bsS9P6_LpdIe,sbGAZlkZOtyh,Cf_Qef15s3_F,eX02hlZjMfR0,wLqBDw8l0eIm,g1Uy6IV0tyJQ,f9CsFWzvg0Vq,YlkZvXL8qwsX,MCqssyYhLtLC,bpgWCAbiJWkL,CMUdZtaORwo4,hi1V0ySZcNds,kkSX4ccExqw4,V4roHaS3Ppej,o8rvoPw8ep3k,xafqLlk3kkUe,h0qciNl3EEEj,lot1PSoAwYhj,xfhwxiBOH72k,HcyiPkCViZiX,fOIXYo9a1WNS,z8EhBlYI2Bx4,Y3jVKaC8LEDU,ehT0Px3KOsy9,PlSM16l2KDPD,J6u1YyThfhgG,ZdP978XkGspL,c2A0yzQpDQB3,I7ZO3Ma9cXBb,YyaZ4tpXu4lf,eHmS9durw_Vs,abA97kOQKaLo,tsdjvlgh9gDP,VTYZGD68sBIs,Dx22bkKPdt5d,nSwwHEeM4cxI,sR_24x3xd4bh,xmV2riMOClNT,_fwkIVCGgtAN,Jp8aZ6mjyZZT,eO8Xfv8UVFey,zLUzGokYBM2Z,FL7SmUoxlR9h,k6bl9sLammpH,vQr8gNKaIaWE,S6hV9M2g7fO0,RFiwrCZH9Ie6,jB_HdqgHmVpI,MVEN8G6CxlvR,t0rOMsrOC7R_,W3g84rNiEdDQ,vUlqIvNSaRMa,gDnh40_OUDCn,M8_cKLkHVB2V,xkxBmo49x2An,KNx0Ujaz9UM0,KNyTy8rYcwji,wmQmyeWBmUpv,p1G5VS3dE_Ss,pZ0NK2y6HRbn,HByLaO1XdVEe,pgRJLRS7Iy8j,OZYzwAeSQh7N,tmzuw0hjv33u,RwRZiUMA3VWp,Gbej4oZqKLA6,TqkAMbUz4aLg,rw68imZ2Ikxp=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__
SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b101101 + 0o3) + chr(3804 - 3693) + '\x33' + '\065' + '\067', 56980 - 56972), ehT0Px3KOsy9(chr(1891 - 1843) + chr(8490 - 8379) + '\063' + chr(0b110101) + chr(48), 37409 - 37401), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(49) + '\x31' + '\x37', ord("\x08")), ehT0Px3KOsy9(chr(0b0 + 0o60) + chr(0b101011 + 0o104) + chr(49) + chr(0b11101 + 0o23) + '\061', 0b1000), ehT0Px3KOsy9(chr(0b110000) + '\x6f' + '\063' + '\062' + chr(65 - 10), ord("\x08")), ehT0Px3KOsy9('\060' + '\x6f' + '\061' + chr(53) + chr(0b1110 + 0o45), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\062' + chr(0b110010) + '\063', 0o10), ehT0Px3KOsy9(chr(364 - 316) + '\x6f' + chr(0b10110 + 0o35) + chr(0b1001 + 0o55) + chr(0b101000 + 0o11), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(0b1110 + 0o43) + chr(54) + '\x31', 24915 - 24907), ehT0Px3KOsy9(chr(1719 - 1671) + '\x6f' + '\061' + chr(48) + chr(48), 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(10547 - 10436) + chr(1794 - 1744) + '\x35' + '\063', 34282 - 34274), ehT0Px3KOsy9('\x30' + chr(0b1000000 + 0o57) + chr(0b11011 + 0o26) + chr(149 - 94) + chr(2253 - 2203), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\067', 0o10), ehT0Px3KOsy9(chr(48) + chr(111) + '\061' + chr(48) + '\x30', 8), ehT0Px3KOsy9(chr(1310 - 1262) + chr(10573 - 10462) + chr(2340 - 2287) + chr(0b1111 + 0o44), 0o10), ehT0Px3KOsy9(chr(48) + '\x6f' + chr(0b110001) + chr(52) + chr(0b1001 + 0o51), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(111) + '\x36' + chr(0b110100), 0b1000), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1000110 + 0o51) + chr(1349 - 1299) + chr(0b110011) + chr(0b110011), 0b1000), ehT0Px3KOsy9(chr(48) + '\x6f' + '\x33' + chr(48) + chr(1109 - 1060), 20012 - 20004), ehT0Px3KOsy9(chr(2272 - 2224) + chr(1068 - 957) + chr(50) + '\067' + chr(54), 0b1000), ehT0Px3KOsy9('\x30' + chr(0b11000 + 0o127) + chr(0b101001 + 0o11) + chr(0b100000 + 0o24) + chr(928 - 873), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(799 - 749) + chr(0b110001) + chr(0b11 + 0o55), 44478 - 44470), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(0b11 + 0o57) + chr(0b11110 + 0o23) + chr(51), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b1101 + 0o46) + chr(1970 - 1922), 0b1000), ehT0Px3KOsy9('\060' + chr(0b1101111) + chr(52) + '\x32', 0b1000), ehT0Px3KOsy9(chr(657 - 609) + chr(111) + chr(0b110011) + chr(51) + chr(0b10111 + 0o31), 16170 - 16162), ehT0Px3KOsy9(chr(48) + chr(0b100010 + 0o115) + chr(0b110010) + chr(0b11010 + 0o27) + chr(631 - 576), ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + '\157' + chr(0b110110) + '\x33', 31291 - 31283), ehT0Px3KOsy9('\060' + '\x6f' + chr(0b10011 + 0o40) + '\x37' + '\x34', 48927 - 48919), ehT0Px3KOsy9('\x30' + chr(111) + chr(2507 - 2456) + chr(0b110111) + chr(0b10101 + 0o36), ord("\x08")), ehT0Px3KOsy9('\x30' + '\157' + chr(49) + '\062' + '\x36', 4965 - 4957), ehT0Px3KOsy9('\x30' + chr(0b1100000 + 0o17) + '\061' + chr(0b110000) + '\064', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b100111 + 0o110) + '\063' + '\x34' + chr(0b110111), 0b1000), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11001 + 0o30) + chr(0b11100 + 0o24) + '\x37', 0o10), ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(76 - 25) + '\061' + chr(55), ord("\x08")), ehT0Px3KOsy9(chr(2282 - 2234) + chr(0b1101110 + 0o1) + chr(193 - 143) + '\064' + chr(0b110000), 0b1000), ehT0Px3KOsy9(chr(0b100010 + 0o16) + chr(10751 - 10640) + chr(0b110001) + chr(829 - 775), 0o10), ehT0Px3KOsy9('\x30' + '\157' + chr(0b11010 + 0o27) + chr(53) + '\x30', 0o10), ehT0Px3KOsy9('\060' + '\157' + chr(0b0 + 0o62) + '\x33' + '\060', 11754 - 11746), ehT0Px3KOsy9(chr(0b110000) + chr(10530 - 10419) + chr(50) + '\065' + chr(242 - 193), 0o10)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b110101) + chr(0b101111 + 0o1), 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc1'), '\x64' + chr(101) + chr(0b1100011) + chr(0b110001 + 0o76) + chr(5704 - 5604) + '\145')(chr(11887 - 11770) + '\x74' + '\x66' + '\x2d' + chr(0b1010 + 0o56)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def U6MiWrhuCi2Y(oVre8I6UXc3b, Ti9e_bxaCVyu) -> U1nE7SA1iyUR[_jFYXBmhzM0H]:
l7fBk51Hp1xn = xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x83\x8958'), chr(100) + '\145' + chr(0b101 + 0o136) + '\x6f' + '\x64' + chr(101))(chr(0b101101 + 0o110) + chr(0b1110100) + '\x66' + chr(45) + chr(0b1111 + 0o51)), None)
if l7fBk51Hp1xn is None:
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x89=/\xbe\x05\xf4'), chr(100) + chr(0b1011100 + 0o11) + '\143' + chr(11295 - 11184) + chr(0b101101 + 0o67) + chr(9435 - 9334))('\x75' + chr(0b100010 + 0o122) + '\146' + chr(0b101101) + '\070'))(xafqLlk3kkUe(SXOLrMavuUCe(b'\xab\x89; \xa4\x0e\xe7\xa3\x14!\xcf\x1funG\x03N\xe2\xe1\xd7\xd4\xa8\xe5wV\xf8\xfcV\x88\xd7v \x8e#\xef\xd9a\x1d\xb8\xcf\x80\x9a($\xa3K\xe7\x9eQ#\xca\x16k`_\nQ\xbb\xb2\xcb\xd7\xed\xf9{N\xb9\xfc@\xdc\x989*\x943\xbd\xd5m\x1c\xf7\xdb\xd0'), '\x64' + chr(0b1100101) + chr(0b10110 + 0o115) + '\x6f' + chr(4249 - 4149) + chr(0b1100101))('\165' + '\x74' + chr(0b1100110) + chr(0b101101) + '\070'))
if xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbd\x9a\x00#\xba\x0f\xd4\x94\x1a7\xf1\x11'), '\144' + '\145' + chr(0b101110 + 0o65) + '\157' + chr(0b1001010 + 0o32) + chr(0b1100101))(chr(0b1110101) + chr(116) + chr(102) + '\055' + chr(0b111 + 0o61))):
vhXbYptxZ3Pz = oVre8I6UXc3b._get_cache_location_for_file_path(Ti9e_bxaCVyu)
else:
vhXbYptxZ3Pz = None
if l7fBk51Hp1xn:
return NwptC13451gD(lambda : xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\xb0\x9a* \xb3'), '\144' + chr(101) + chr(2815 - 2716) + chr(111) + '\144' + '\x65')(chr(0b1110101) + chr(0b1110100) + '\x66' + chr(45) + chr(0b111000)))(Ti9e_bxaCVyu), vhXbYptxZ3Pz, xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8b\x8d<$\xa5\x02\xf2\x9d\x18:\xce%n.X\x16U\xf5\xa2\xdb'), '\x64' + '\x65' + chr(0b1100011) + '\x6f' + '\144' + chr(101))(chr(0b1110101) + chr(8133 - 8017) + chr(0b1100110) + chr(1657 - 1612) + chr(0b101001 + 0o17))), xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x8d=(\xb6\x07\xfa\x8b\x14\x1f\xc2\x14t4J\x0cW\xfe'), chr(0b1100100) + chr(0b10100 + 0o121) + chr(99) + '\157' + chr(7305 - 7205) + chr(0b1100101))(chr(0b1110101) + chr(5400 - 5284) + chr(102) + '\055' + chr(56))))
else:
if vhXbYptxZ3Pz and xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x90&2\xa3\x18'), chr(8173 - 8073) + '\145' + chr(0b1011 + 0o130) + chr(0b1101111) + chr(0b1010011 + 0o21) + '\x65')(chr(117) + '\164' + chr(0b1100011 + 0o3) + chr(45) + chr(56)))(vhXbYptxZ3Pz):
RGI3k8bAy4QR = oVre8I6UXc3b._instances_from_cache_file(vhXbYptxZ3Pz)
else:
RGI3k8bAy4QR = oVre8I6UXc3b._read(Ti9e_bxaCVyu)
if not PlSM16l2KDPD(RGI3k8bAy4QR, YyaZ4tpXu4lf):
RGI3k8bAy4QR = [SsX6bRqJdu1L for SsX6bRqJdu1L in l5DR0A5LiDJi.tqdm(RGI3k8bAy4QR)]
if not RGI3k8bAy4QR:
raise h0iXqtiKVeKg(xafqLlk3kkUe(xafqLlk3kkUe(SXOLrMavuUCe(b"\xa1\x87o(\xb9\x18\xe7\x90\x1f#\xce\t'7N\x10Q\xbb\xb3\xdb\xc6\xec\xab~P\xb7\xe2\x13\x88\x933d\x80.\xb9\xc5`H\xfe\xc0\x83\x8d? \xa3\x03\xb3\x8a\x0cn\x8b3t`_\nQ\xbb\xb1\xdf\xd3\xe0\xab{M\xaa\xfdV\x9f\x8fi"), '\144' + '\x65' + '\143' + '\x6f' + '\x64' + chr(4658 - 4557))('\165' + chr(13069 - 12953) + chr(0b1100110) + chr(45) + '\070'), xafqLlk3kkUe(SXOLrMavuUCe(b'\xb9\xdc=.\x9f\n\xc0\xc2!0\xce\x10'), chr(0b1100100) + '\145' + '\143' + '\x6f' + '\x64' + '\x65')(chr(0b1011 + 0o152) + '\164' + chr(0b0 + 0o146) + chr(0b11100 + 0o21) + '\x38'))(Ti9e_bxaCVyu))
if vhXbYptxZ3Pz and (not xafqLlk3kkUe(oqhJDdMJfuwx.path, xafqLlk3kkUe(SXOLrMavuUCe(b'\x8a\x90&2\xa3\x18'), chr(100) + chr(440 - 339) + '\143' + chr(111) + chr(0b1100100) + chr(0b1100101))(chr(0b1110101) + chr(0b1110100) + '\146' + chr(0b1011 + 0o42) + chr(0b111000)))(vhXbYptxZ3Pz)):
xafqLlk3kkUe(hdK8qOUhR6Or, xafqLlk3kkUe(SXOLrMavuUCe(b'\xbc\xdf\x079\xa2\x08\xf4\xc6\x1b,\xf1\x11'), chr(1813 - 1713) + '\x65' + chr(0b101011 + 0o70) + chr(7785 - 7674) + chr(100) + '\x65')('\x75' + '\164' + '\146' + '\055' + '\x38'))(f'Caching instances to {vhXbYptxZ3Pz}')
with _fwkIVCGgtAN(vhXbYptxZ3Pz, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98'), chr(0b1000000 + 0o44) + chr(9640 - 9539) + chr(0b1011001 + 0o12) + chr(0b1010100 + 0o33) + chr(0b1100100) + chr(0b110001 + 0o64))(chr(12167 - 12050) + chr(0b1110100) + chr(7121 - 7019) + chr(0b11010 + 0o23) + chr(0b1000 + 0o60))) as j1lPDdxcDbRB:
for SsX6bRqJdu1L in xafqLlk3kkUe(l5DR0A5LiDJi, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9b\x99+,'), '\144' + chr(0b1100101) + chr(0b1011000 + 0o13) + '\157' + '\144' + chr(0b1100101))(chr(117) + chr(0b1011 + 0o151) + chr(6884 - 6782) + '\055' + chr(0b101110 + 0o12)))(RGI3k8bAy4QR):
xafqLlk3kkUe(j1lPDdxcDbRB, xafqLlk3kkUe(SXOLrMavuUCe(b'\x98\x9a&5\xb2'), chr(0b1100100) + '\145' + chr(0b1100011) + '\x6f' + '\x64' + '\x65')(chr(117) + '\164' + chr(0b1000101 + 0o41) + chr(1392 - 1347) + chr(0b111000)))(xafqLlk3kkUe(oVre8I6UXc3b, xafqLlk3kkUe(SXOLrMavuUCe(b'\x9c\x8d=(\xb6\x07\xfa\x8b\x14\x1f\xc2\x14t4J\x0cW\xfe'), chr(0b101110 + 0o66) + chr(502 - 401) + chr(0b1010110 + 0o15) + '\157' + chr(0b111100 + 0o50) + chr(4336 - 4235))(chr(7890 - 7773) + chr(0b1110100) + chr(102) + chr(0b10100 + 0o31) + chr(2673 - 2617)))(SsX6bRqJdu1L) + xafqLlk3kkUe(SXOLrMavuUCe(b'\xe5'), chr(100) + chr(3909 - 3808) + chr(0b100000 + 0o103) + chr(111) + '\x64' + chr(0b100001 + 0o104))('\x75' + chr(116) + '\x66' + chr(45) + '\x38'))
return RGI3k8bAy4QR
|
allenai/allennlp
|
allennlp/training/checkpointer.py
|
Checkpointer.restore_checkpoint
|
def restore_checkpoint(self) -> Tuple[Dict[str, Any], Dict[str, Any]]:
"""
Restores a model from a serialization_dir to the last saved checkpoint.
This includes a training state (typically consisting of an epoch count and optimizer state),
which is serialized separately from model parameters. This function should only be used to
continue training - if you wish to load a model for inference/load parts of a model into a new
computation graph, you should use the native Pytorch functions:
`` model.load_state_dict(torch.load("/path/to/model/weights.th"))``
If ``self._serialization_dir`` does not exist or does not contain any checkpointed weights,
this function will do nothing and return empty dicts.
Returns
-------
states: Tuple[Dict[str, Any], Dict[str, Any]]
The model state and the training state.
"""
latest_checkpoint = self.find_latest_checkpoint()
if latest_checkpoint is None:
# No checkpoint to restore, start at 0
return {}, {}
model_path, training_state_path = latest_checkpoint
# Load the parameters onto CPU, then transfer to GPU.
# This avoids potential OOM on GPU for large models that
# load parameters onto GPU then make a new GPU copy into the parameter
# buffer. The GPU transfer happens implicitly in load_state_dict.
model_state = torch.load(model_path, map_location=nn_util.device_mapping(-1))
training_state = torch.load(training_state_path, map_location=nn_util.device_mapping(-1))
return model_state, training_state
|
python
|
def restore_checkpoint(self) -> Tuple[Dict[str, Any], Dict[str, Any]]:
"""
Restores a model from a serialization_dir to the last saved checkpoint.
This includes a training state (typically consisting of an epoch count and optimizer state),
which is serialized separately from model parameters. This function should only be used to
continue training - if you wish to load a model for inference/load parts of a model into a new
computation graph, you should use the native Pytorch functions:
`` model.load_state_dict(torch.load("/path/to/model/weights.th"))``
If ``self._serialization_dir`` does not exist or does not contain any checkpointed weights,
this function will do nothing and return empty dicts.
Returns
-------
states: Tuple[Dict[str, Any], Dict[str, Any]]
The model state and the training state.
"""
latest_checkpoint = self.find_latest_checkpoint()
if latest_checkpoint is None:
# No checkpoint to restore, start at 0
return {}, {}
model_path, training_state_path = latest_checkpoint
# Load the parameters onto CPU, then transfer to GPU.
# This avoids potential OOM on GPU for large models that
# load parameters onto GPU then make a new GPU copy into the parameter
# buffer. The GPU transfer happens implicitly in load_state_dict.
model_state = torch.load(model_path, map_location=nn_util.device_mapping(-1))
training_state = torch.load(training_state_path, map_location=nn_util.device_mapping(-1))
return model_state, training_state
|
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] |
Restores a model from a serialization_dir to the last saved checkpoint.
This includes a training state (typically consisting of an epoch count and optimizer state),
which is serialized separately from model parameters. This function should only be used to
continue training - if you wish to load a model for inference/load parts of a model into a new
computation graph, you should use the native Pytorch functions:
`` model.load_state_dict(torch.load("/path/to/model/weights.th"))``
If ``self._serialization_dir`` does not exist or does not contain any checkpointed weights,
this function will do nothing and return empty dicts.
Returns
-------
states: Tuple[Dict[str, Any], Dict[str, Any]]
The model state and the training state.
|
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] |
648a36f77db7e45784c047176074f98534c76636
|
https://github.com/allenai/allennlp/blob/648a36f77db7e45784c047176074f98534c76636/allennlp/training/checkpointer.py#L114-L145
|
train
|
Restores a model from a serialization_dir to the last saved checkpoint.
|
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SXOLrMavuUCe = lambda XbwU38w7NW8n: QOfmzcVJsrp8([OeWW0F1dBPRQ ^ [ehT0Px3KOsy9(chr(0b100001 + 0o17) + '\157' + '\063' + '\x35' + '\x33', ord("\x08")), ehT0Px3KOsy9(chr(1988 - 1940) + chr(0b1101111) + chr(0b10111 + 0o34) + '\x36', 0b1000), ehT0Px3KOsy9(chr(315 - 267) + chr(111) + '\x32' + chr(52) + chr(1369 - 1315), 0b1000), ehT0Px3KOsy9(chr(48) + chr(111) + chr(0b110010) + '\x31' + '\x36', 0o10), ehT0Px3KOsy9('\060' + chr(9483 - 9372) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(1959 - 1911) + '\157' + '\x31' + chr(468 - 417), 0o10), ehT0Px3KOsy9('\x30' + chr(0b1011111 + 0o20) + chr(1878 - 1829) + chr(0b110101) + chr(0b11011 + 0o31), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b10001 + 0o46), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\157' + chr(0b11000 + 0o32) + '\067' + chr(0b110111), ord("\x08")), ehT0Px3KOsy9(chr(1174 - 1126) + chr(0b1101111) + chr(0b110010) + chr(0b110101) + chr(150 - 98), 0b1000), ehT0Px3KOsy9(chr(2277 - 2229) + chr(0b1101111) + '\x33' + chr(0b110001 + 0o5) + chr(0b1110 + 0o45), 0b1000), ehT0Px3KOsy9('\060' + chr(8903 - 8792) + chr(0b110001) + '\060' + chr(50), 0o10), ehT0Px3KOsy9('\x30' + '\x6f' + '\x32' + chr(1382 - 1328), 30730 - 30722), ehT0Px3KOsy9(chr(656 - 608) + chr(0b1101111) + chr(0b110100) + chr(1284 - 1234), 0b1000), ehT0Px3KOsy9(chr(0b110000) + chr(111) + '\x32' + '\x37', 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b111 + 0o150) + '\062' + chr(0b110101) + chr(494 - 441), ord("\x08")), ehT0Px3KOsy9('\060' + '\157' + '\062' + '\063' + '\060', 0o10), ehT0Px3KOsy9(chr(1364 - 1316) + chr(0b10000 + 0o137) + chr(0b110001) + chr(1489 - 1438) + chr(0b11001 + 0o27), 0b1000), ehT0Px3KOsy9('\060' + chr(5049 - 4938) + chr(49) + chr(49) + '\x36', ord("\x08")), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(54) + chr(51), 0b1000), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + '\x31' + chr(2000 - 1950) + chr(0b110100), ord("\x08")), ehT0Px3KOsy9(chr(48) + '\x6f' + '\063' + chr(0b10110 + 0o34), 54006 - 53998), ehT0Px3KOsy9(chr(0b1010 + 0o46) + '\157' + '\x35' + chr(0b110101 + 0o2), 28094 - 28086), ehT0Px3KOsy9(chr(48) + chr(0b0 + 0o157) + '\061' + chr(1755 - 1701) + '\061', ord("\x08")), ehT0Px3KOsy9(chr(1162 - 1114) + '\x6f' + chr(50) + chr(0b110110) + '\x33', 64161 - 64153), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(916 - 865) + chr(51) + chr(51), 0o10), ehT0Px3KOsy9('\060' + '\x6f' + chr(1050 - 1000) + chr(1102 - 1054) + chr(1967 - 1913), 0b1000), ehT0Px3KOsy9(chr(578 - 530) + chr(0b1010111 + 0o30) + chr(1342 - 1288) + chr(864 - 813), 8), ehT0Px3KOsy9(chr(48) + chr(2157 - 2046) + chr(52) + chr(48), ord("\x08")), ehT0Px3KOsy9(chr(48) + chr(0b1101111) + chr(0b1001 + 0o50) + chr(0b11101 + 0o27), 0o10), ehT0Px3KOsy9(chr(0b11010 + 0o26) + chr(0b101101 + 0o102) + '\063' + '\x36' + chr(53), 0o10), ehT0Px3KOsy9(chr(349 - 301) + '\157' + '\x36' + chr(0b110100), ord("\x08")), ehT0Px3KOsy9('\x30' + chr(0b1101111) + '\063' + chr(0b110100) + chr(0b100 + 0o55), 36929 - 36921), ehT0Px3KOsy9('\060' + chr(111) + chr(53) + '\064', 0b1000), ehT0Px3KOsy9(chr(1305 - 1257) + chr(0b1101111) + chr(0b110001) + '\x33' + chr(0b101000 + 0o16), 42599 - 42591), ehT0Px3KOsy9(chr(1154 - 1106) + '\157' + chr(2428 - 2375) + '\x33', 0b1000), ehT0Px3KOsy9('\x30' + '\x6f' + chr(49) + chr(49), 3920 - 3912), ehT0Px3KOsy9(chr(0b110000) + chr(111) + chr(49) + chr(48) + '\x31', 3754 - 3746), ehT0Px3KOsy9(chr(0b10 + 0o56) + chr(111) + '\065' + '\x32', 0o10), ehT0Px3KOsy9(chr(0b10001 + 0o37) + chr(0b1010100 + 0o33) + chr(50) + chr(0b110110) + '\066', 56805 - 56797)][WVxHKyX45z_L % ehT0Px3KOsy9(chr(0b1100 + 0o44) + chr(6026 - 5915) + chr(0b110101) + '\060', 0b1000)] for (WVxHKyX45z_L, OeWW0F1dBPRQ) in YlkZvXL8qwsX(XbwU38w7NW8n)])
def NPPHb59961Bv(RqocVGOryNPv, _CF03Rifpmdh):
try:
return jFWsnpHpAUWz(RqocVGOryNPv + xafqLlk3kkUe(SXOLrMavuUCe(b'\xc5'), chr(0b1001110 + 0o26) + chr(0b11100 + 0o111) + chr(0b1010 + 0o131) + chr(0b1101111) + chr(0b100001 + 0o103) + chr(0b111010 + 0o53))(chr(0b1000010 + 0o63) + chr(0b1110100) + '\146' + '\055' + chr(0b1110 + 0o52)) + _CF03Rifpmdh)
except yROw0HWBk0Qc:
return jFWsnpHpAUWz(RqocVGOryNPv)
def ZFf21s8bRjdm(oVre8I6UXc3b) -> MRK8Uzg2En3D[zBnV56fc6HrA[M8_cKLkHVB2V, R71nhlWr3XQi], zBnV56fc6HrA[M8_cKLkHVB2V, R71nhlWr3XQi]]:
jDTFRvbCTK6i = oVre8I6UXc3b.find_latest_checkpoint()
if jDTFRvbCTK6i is None:
return ({}, {})
(AlxtQPEw7WKZ, ky0a_qkhy_dN) = jDTFRvbCTK6i
YhrkiBBPzain = cEkFpYktkSeK.mxtdQMeiwJZJ(AlxtQPEw7WKZ, map_location=mJ5lccTj6Yky.device_mapping(-ehT0Px3KOsy9('\060' + chr(0b1101111) + '\x31', 38565 - 38557)))
c1o8IdGST3HC = cEkFpYktkSeK.mxtdQMeiwJZJ(ky0a_qkhy_dN, map_location=mJ5lccTj6Yky.device_mapping(-ehT0Px3KOsy9(chr(0b110000) + chr(0b1101111) + chr(49), 8)))
return (YhrkiBBPzain, c1o8IdGST3HC)
|
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