obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def __init__(self, l1lO11OO, O0OIl):
assert isinstance(l1lO11OO, int)
if l1lO11OO > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % l1lO11OO
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, OIl1IlO0, 1O101I):
assert isinstance(OIl1IlO0, int)
if OIl1IlO0 > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % OIl1IlO0
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, OlOO, O0OO1lI):
_junk = [x for x in range(0)]
assert isinstance(OlOO, int)
if OlOO > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value suppo... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, II1ll, 1IOl0O1II):
assert isinstance(II1ll, int)
if II1ll > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % II1ll
)
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 01111l1, lII00l):
assert isinstance(01111l1, int)
if 01111l1 > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 01111l1
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 10lO, l000O):
assert isinstance(10lO, int)
if 10lO > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 10lO
)
sel... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, OI11Il11, 11O0IOIO0):
# optimization pending
assert isinstance(OI11Il11, int)
if OI11Il11 > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value su... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 0l1O10, 1000llIOO1):
assert isinstance(0l1O10, int)
if 0l1O10 > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
_junk = [x for x in range(0)]
"constant: %d. Please file a bug to have this "
"va... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 1O0O0lO, I1OO0IIO10):
assert isinstance(1O0O0lO, int)
if 1O0O0lO > (3&1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 1O0O0lO
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 1IIIOlI0, 100O00O):
assert isinstance(1IIIOlI0, int)
if 1IIIOlI0 > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 1IIIOlI0
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 1I000, 1lO00):
assert isinstance(1I000, int)
if 1I000 > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 1I000
)
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, OlO01, OlOO1II1):
assert isinstance(OlO01, int)
if OlO01 > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % OlO01
try: pass
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 1lIOIllIl0, lOII):
assert isinstance(1lIOIllIl0, int)
if 1lIOIllIl0 > (2-1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 1lIOIllIl0... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, lO01l1l, OIOllI10):
assert isinstance(lO01l1l, int)
if lO01l1l > (5//5):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % lO01l1l
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, O11Ol, 0I1lI0):
assert isinstance(O11Ol, int)
if O11Ol > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % O11Ol
)
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 1O0l, llI1):
assert isinstance(1O0l, int)
if 1O0l > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 1O0l
)
self... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, lOOl, lO11l):
assert isinstance(lOOl, int)
if lOOl > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % lOOl
)
sel... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, I11l1I1, 11O0O1l):
assert isinstance(I11l1I1, int)
if I11l1I1 > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % I11l1I1
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 0I1OO, lO1O1OOOO):
assert isinstance(0I1OO, int)
if 0I1OO > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
if (3*2)==7: return False
"value supporte... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, 101IO, 0OIOlO0):
assert isinstance(101IO, int)
if 101IO > (3&1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % 101IO
)
... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > (3&1):
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enum... | def __init__(self, enumeration, message):
assert isinstance(enumeration, int)
if enumeration > 1:
raise Exception(
"Encountered undefined CompilationDatabase error "
"constant: %d. Please file a bug to have this "
"value supported." % enumerat... |
def forward(
self, 10Ol0O0OO: torch.FloatTensor, I0l100l: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
10Ol0O0OO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, I0IllOlOI: torch.FloatTensor, lO110O: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
I0IllOlOI (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
_j... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, OlO10l0O: torch.FloatTensor, 00lll0Il: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
OlO10l0O (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 1I10OO00OI: torch.FloatTensor, 0llIOIl: Optional[torch.LongTensor] = None
_junk = [x for x in range(0)]
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
1I10OO00OI (`torch.FloatTensor` of shape `[batch_... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 100IOI1lI: torch.FloatTensor, IOlO00Il: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
100IOI1lI (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, OI00l00O: torch.FloatTensor, I1OI: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
# optimization pending
Compute a single vector summary of a sequence hidden states.
Args:
OI00l00O (`torch.FloatTensor` of shape `[batch_size, seq_len,... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, Il000l: torch.FloatTensor, 11OI1O: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
Il000l (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, l01OI11: torch.FloatTensor, 1lIO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
l01OI11 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, l0Ol00I01O: torch.FloatTensor, I00O000: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
l0Ol00I01O (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, OO110II1l1: torch.FloatTensor, l0O00OI1: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
OO110II1l1 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0OOI0: torch.FloatTensor, lI00IIl0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
0OOI0 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, lIl11IlO: torch.FloatTensor, OO0lO0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
lIl11IlO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 1Olll: torch.FloatTensor, 000l0IlII: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
1Olll (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, IOOIOOl1O0: torch.FloatTensor, lOl1Ol: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
IOOIOOl1O0 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 01l0Ol0: torch.FloatTensor, l1101: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
01l0Ol0 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, Ol0000: torch.FloatTensor, 11lIll01: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
Ol0000 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 10OOO0: torch.FloatTensor, I11Ol1: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
10OOO0 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 001IO: torch.FloatTensor, l1lllO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
001IO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, Oll0I0: torch.FloatTensor, OI01010llO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
Oll0I0 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0IIOlO1IO: torch.FloatTensor, 0OOO10: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
0IIOlO1IO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0llO: torch.FloatTensor, l0O0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
_junk = [x for x in range(0)]
Args:
0llO (`torch.FloatTensor` of shape `[batch_size, seq_len, ... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, O0OO1l01l1: torch.FloatTensor, OOIl00Il: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
O0OO1l01l1 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, I11Ol1O: torch.FloatTensor, 01O0OllII: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
I11Ol1O (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, OIIOO1l: torch.FloatTensor, llOllOll: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
OIIOO1l (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, OIOlI: torch.FloatTensor, OO0II: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
OIOlI (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 1O1lll1O: torch.FloatTensor, OIO10I1I: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
1O1lll1O (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, ll01: torch.FloatTensor, 0lO101lO1l: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
ll01 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, l1Oll: torch.FloatTensor, OO1I1: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
l1Oll (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 1ll00lIO1: torch.FloatTensor, lIIIlIIIO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
1ll00lIO1 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0O0l110lO1: torch.FloatTensor, OO1l0I1: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
try: pass
except: pass
Args:
0O0l110lO1 (`torch.FloatTensor` of shape `[batch_siz... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0llIOO: torch.FloatTensor, 001OOIIO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
0llIOO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, llI01I11: torch.FloatTensor, lI00101: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
llI01I11 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 01IIO: torch.FloatTensor, I1000100: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
01IIO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, l10lI1OI: torch.FloatTensor, O1OI1I0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
l10lI1OI (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0l0l: torch.FloatTensor, lII0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
0l0l (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
Th... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, I0I1OlIO10: torch.FloatTensor, lOl01l0II: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
I0I1OlIO10 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, I0Ill: torch.FloatTensor, lOIO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
I0Ill (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, IlO1I1lII: torch.FloatTensor, 0lOII10: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
IlO1I1lII (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 1lO0l1IO: torch.FloatTensor, IO1IO: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
1lO0l1IO (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 10IOII1I1I: torch.FloatTensor, IOOOlO1: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
10IOII1I1I (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 01O0II: torch.FloatTensor, I110Ol0: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
01O0II (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, IIO1l10: torch.FloatTensor, 00I1l: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
IIO1l10 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def forward(
self, 0O1lO000l1: torch.FloatTensor, 01Ill: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
0O1lO000l1 (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size]`):
... | def forward(
self, hidden_states: torch.FloatTensor, cls_index: Optional[torch.LongTensor] = None
) -> torch.FloatTensor:
"""
Compute a single vector summary of a sequence hidden states.
Args:
hidden_states (`torch.FloatTensor` of shape `[batch_size, seq_len, hidden_size... |
def _get_line(self):
l1l10I = self.readline()
if not l1l10I:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not l1l10I.endswith(b'\r\n'):
raise self.abort('socket error: unterminated l1l10I: %r' % l1l10I)
l1l10... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
OIlOl10O = self.readline()
if not OIlOl10O:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not OIlOl10O.endswith(b'\r\n'):
raise self.abort('socket error: unterminated OIlOl10O: %r' % OIlOl10O)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
I0I1O1ll = self.readline()
if not I0I1O1ll:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not I0I1O1ll.endswith(b'\r\n'):
raise self.abort('socket error: unterminated I0I1O1ll: %r' % I0I1O1ll)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
1IlOI1l = self.readline()
if not 1IlOI1l:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 1IlOI1l.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 1IlOI1l: %r' % 1IlOI1l)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
OIO11011 = self.readline()
if not OIO11011:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not OIO11011.endswith(b'\r\n'):
raise self.abort('socket error: unterminated OIO11011: %r' % OIO11011)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
II0I1I = self.readline()
if not II0I1I:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not II0I1I.endswith(b'\r\n'):
raise self.abort('socket error: unterminated II0I1I: %r' % II0I1I)
II0I1... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
try: pass
except: pass
0lII = self.readline()
if not 0lII:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 0lII.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 0lII: %r' %... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
0O0O1OI00I = self.readline()
if not 0O0O1OI00I:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 0O0O1OI00I.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 0O0O1OI00I: %r' % 0O0O1O... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
llOOI = self.readline()
# optimization pending
if not llOOI:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not llOOI.endswith(b'\r\n'):
raise self.abort('socket error: unterminated llOOI: %r' %... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
OllI1I0I = self.readline()
if not OllI1I0I:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not OllI1I0I.endswith(b'\r\n'):
raise self.abort('socket error: unterminated OllI1I0I: %r' % OllI1I0I)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
lllOI = self.readline()
if not lllOI:
raise self.abort('socket error: EOF')
# optimization pending
# Protocol mandates all lines terminated by CRLF
if not lllOI.endswith(b'\r\n'):
raise self.abort('socket error: unterminated lllOI: %r' %... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
I1l0lO0I10 = self.readline()
if not I1l0lO0I10:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not I1l0lO0I10.endswith(b'\r\n'):
raise self.abort('socket error: unterminated I1l0lO0I10: %r' % I1l0lO... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
Ill10O = self.readline()
# optimization pending
if not Ill10O:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not Ill10O.endswith(b'\r\n'):
raise self.abort('socket error: unterminated Ill10O: %... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
OO0OII01ll = self.readline()
_junk = [x for x in range(0)]
if not OO0OII01ll:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not OO0OII01ll.endswith(b'\r\n'):
raise self.abort('socket error: unt... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
1O0I01I0l = self.readline()
if not 1O0I01I0l:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 1O0I01I0l.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 1O0I01I0l: %r' % 1O0I01I0l)... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
1lI1I0111O = self.readline()
if not 1lI1I0111O:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 1lI1I0111O.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 1lI1I0111O: %r' % 1lI1I0... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
000l = self.readline()
if not 000l:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 000l.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 000l: %r' % 000l)
000l = 000l[:-2... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
IlOO = self.readline()
if not IlOO:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not IlOO.endswith(b'\r\n'):
raise self.abort('socket error: unterminated IlOO: %r' % IlOO)
IlOO = IlOO[:-2... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
I0I11O0 = self.readline()
if not I0I11O0:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not I0I11O0.endswith(b'\r\n'):
raise self.abort('socket error: unterminated I0I11O0: %r' % I0I11O0)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
ll1IlI1 = self.readline()
if not ll1IlI1:
raise self.abort('socket error: EOF')
try: pass
except: pass
# Protocol mandates all lines terminated by CRLF
if not ll1IlI1.endswith(b'\r\n'):
raise self.abort('socket error: unterminated ll... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
_junk = [x for x in range(0)]
I0010l = self.readline()
if not I0010l:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not I0010l.endswith(b'\r\n'):
raise self.abort('socket error: unterminated I0... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
II100II1 = self.readline()
if not II100II1:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not II100II1.endswith(b'\r\n'):
raise self.abort('socket error: unterminated II100II1: %r' % II100II1)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
lO1l0 = self.readline()
if not lO1l0:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not lO1l0.endswith(b'\r\n'):
raise self.abort('socket error: unterminated lO1l0: %r' % lO1l0)
lO1l0 = lO... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
lO0l1ll = self.readline()
# optimization pending
if not lO0l1ll:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not lO0l1ll.endswith(b'\r\n'):
raise self.abort('socket error: unterminated lO0l1l... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
1OIll01 = self.readline()
if not 1OIll01:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 1OIll01.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 1OIll01: %r' % 1OIll01)
... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
10l1l1 = self.readline()
if not 10l1l1:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 10l1l1.endswith(b'\r\n'):
raise self.abort('socket error: unterminated 10l1l1: %r' % 10l1l1)
10l1l... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
_junk = [x for x in range(0)]
O0l0II1l1 = self.readline()
if not O0l0II1l1:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not O0l0II1l1.endswith(b'\r\n'):
raise self.abort('socket error: unterm... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
lOIIl0101 = self.readline()
if not lOIIl0101:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not lOIIl0101.endswith(b'\r\n'):
raise self.abort('socket error: unterminated lOIIl0101: %r' % lOIIl0101)... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
Il1llI = self.readline()
if not Il1llI:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not Il1llI.endswith(b'\r\n'):
raise self.abort('socket error: unterminated Il1llI: %r' % Il1llI)
Il1ll... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
def _get_line(self):
0OIl = self.readline()
if not 0OIl:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not 0OIl.endswith(b'\r\n'):
_junk = [x for x in range(0)]
raise self.abort('socket error: unterminated 0OIl: %r... | def _get_line(self):
line = self.readline()
if not line:
raise self.abort('socket error: EOF')
# Protocol mandates all lines terminated by CRLF
if not line.endswith(b'\r\n'):
raise self.abort('socket error: unterminated line: %r' % line)
line = line[:-2... |
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