obfuscated_code stringlengths 120 344k | clean_code stringlengths 100 238k |
|---|---|
def decide_fusion_fail_reason(
self,
011110lOI: BaseSchedulerNode,
lOIO011: BaseSchedulerNode,
11O1l001Il: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0IIl1lI1l why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
00llIl1O: BaseSchedulerNode,
1O11I: BaseSchedulerNode,
l00O0I1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide l01I why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
I1lII00: BaseSchedulerNode,
IlOO1l0O: BaseSchedulerNode,
IOOl01O0I0: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 00Il why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
l1IOIOOOI0: BaseSchedulerNode,
IOI1I0l00l: BaseSchedulerNode,
l0O00llll: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 0Il11lll why fusion fail due to no shared memory even though
there are common buffers.... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
I0Ol0I0: BaseSchedulerNode,
0I1I0Il: BaseSchedulerNode,
lOIO01I: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide l10OOI00II why fusion fail due to no shared memory even though
try: pass
except: pass
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
lI0I: BaseSchedulerNode,
OlIIl: BaseSchedulerNode,
000OlIIO: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide 01O0 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
l1lO0I0Il: BaseSchedulerNode,
IOllOOl: BaseSchedulerNode,
I011O010: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide ll01 why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
OOIO11I: BaseSchedulerNode,
O111l1llO: BaseSchedulerNode,
I1I1l1I1O: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide OIO0lI0IO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
IO0l: BaseSchedulerNode,
Il00O10OI: BaseSchedulerNode,
1101: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide OlllO11 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
O1ll: BaseSchedulerNode,
O0OIl1IO: BaseSchedulerNode,
lIO1: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide Ol0l0 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
0lOl: BaseSchedulerNode,
0OlI: BaseSchedulerNode,
OO0OI: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide llIII0 why fusion fail due to no shared memory even though
there are common buffers.
"""
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
II00I: BaseSchedulerNode,
I0IlI: BaseSchedulerNode,
IIOO1OlOOl: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide IIOl000 why fusion fail due to no shared memory even though
there are common buffers.
"... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def decide_fusion_fail_reason(
self,
I1lIII: BaseSchedulerNode,
0110lll10: BaseSchedulerNode,
l1Ol1O10l: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide O1Il0OO why fusion fail due to no shared memory even though
there are common buffers.
... | def decide_fusion_fail_reason(
self,
node1: BaseSchedulerNode,
node2: BaseSchedulerNode,
common_buf_names: Union[tuple[str], OrderedSet[str]],
) -> str:
"""
Try to decide reasons why fusion fail due to no shared memory even though
there are common buffers.
... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(1IOIOOI11I):
I11I = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [I11I / 1l10l for 1l10l in 1IOIOOI11I]
lOI11I = append_root(["fast_lsh_cumulation_torc... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(l1Il0I):
1I0lO0O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1I0lO0O / Ol10lO00 for Ol10lO00 in l1Il0I]
I110l = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(IIl00l):
Il0lll11I = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [Il0lll11I / l1l11OIOl for l1l11OIOl in IIl00l]
I1OI0 = append_root(["fast_lsh_cumula... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(I1lIl):
1OOOO01 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1OOOO01 / O10OOO for O10OOO in I1lIl]
O01O1I0IO = append_root(["fast_lsh_cumulation_tor... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(l10II1Ill0):
1I01llIO0 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1I01llIO0 / O001OIOO0 for O001OIOO0 in l10II1Ill0]
01ll1I = append_root(["fast_l... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(1OO01010O):
1lIlOO1lI = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1lIlOO1lI / O010Il0 for O010Il0 in 1OO01010O]
I1OO = append_root(["fast_lsh_cumul... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(O1IlO):
IO0l1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [IO0l1 / llOO0 for llOO0 in O1IlO]
IOOO = append_root(["fast_lsh_cumulation_torch.cpp", "f... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(IIl01lII):
O1100 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [O1100 / 0IOl for 0IOl in IIl01lII]
if (3*2)==7: return False
IIII = append_root(["... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(0001OI):
1lIO1l1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1lIO1l1 / Ol0I for Ol0I in 0001OI]
OOO1 = append_root(["fast_lsh_cumulation_torch.cpp"... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(l0Il1O):
Ol1lI = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [Ol1lI / Il0lOOll for Il0lOOll in l0Il1O]
IO1IO = append_root(["fast_lsh_cumulation_torch... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(IIlll):
IIIOIllO0 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [IIIOIllO0 / I01Ol10O for I01Ol10O in IIlll]
lllOllO = append_root(["fast_lsh_cumulati... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(1llIIIl1I):
110lIO100O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [110lIO100O / 1IO11 for 1IO11 in 1llIIIl1I]
I0O0000O = append_root(["fast_lsh_cum... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(10lO):
I1I01O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [I1I01O / OI10OI for OI10OI in 10lO]
O0OI110O = append_root(["fast_lsh_cumulation_torch.cp... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(0111I):
1llll1O0O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1llll1O0O / 00I10II for 00I10II in 0111I]
if (3*2)==7: return False
OIOl = append... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(110OO):
l0ll0O1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [l0ll0O1 / 0l0lIll0 for 0l0lIll0 in 110OO]
ll0IIl1IOI = append_root(["fast_lsh_cumulatio... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(1IO0lO0IlO):
11OlII1I0I = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [11OlII1I0I / 1IIlOI10l for 1IIlOI10l in 1IO0lO0IlO]
01llI = append_root(["fast_... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(I1l0l1IIO):
lO0lOlO1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [lO0lOlO1 / 1l111OOll for 1l111OOll in I1l0l1IIO]
l1l0IO = append_root(["fast_lsh_c... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(01l11O0I):
l01IO00 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [l01IO00 / l11l for l11l in 01l11O0I]
1OOl11lIl = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(00lI1O1101):
110O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [110O / lIOOIl for lIOOIl in 00lI1O1101]
Il110OI = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(0lIO):
IOllOI1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [IOllOI1 / IOOlI0OOI for IOOlI0OOI in 0lIO]
10OlI = append_root(["fast_lsh_cumulation_tor... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(11OOl1IIO):
0I0OI0 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [0I0OI0 / OIll1l0O for OIll1l0O in 11OOl1IIO]
1llOll = append_root(["fast_lsh_cumulat... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(11O0Il):
1II1O1l00O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1II1O1l00O / 1OI1I11 for 1OI1I11 in 11O0Il]
llI00OOII = append_root(["fast_lsh_cumu... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(10I0Il):
1l1000 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1l1000 / 1O1II for 1O1II in 10I0Il]
0lOlOl0l11 = append_root(["fast_lsh_cumulation_torc... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(l00O1I):
0I1lOl = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [0I1lOl / 1IlO for 1IlO in l00O1I]
if (3*2)==7: return False
lIOOlIOO = append_root(... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(011I1IIl01):
l1llIOlIIO = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [l1llIOlIIO / Ol00IlI for Ol00IlI in 011I1IIl01]
1llll0II01 = append_root(["fast... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(00OI0Il):
10O0Ol01O0 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [10O0Ol01O0 / IOOIOO1 for IOOIOO1 in 00OI0Il]
l0IlIll = append_root(["fast_lsh_cumu... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(I0OO0ll):
1Oll = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1Oll / IO00IlOI0l for IO00IlOI0l in I0OO0ll]
0I011II = append_root(["fast_lsh_cumulation... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lIO0Il0):
1O0OO = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1O0OO / 1l01O0I1 for 1l01O0I1 in lIO0Il0]
_junk = [x for x in range(0)]
IOlO = appe... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(OlOI1):
I0I01 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [I0I01 / 1I0II0Il0 for 1I0II0Il0 in OlOI1]
II0IO0OOlI = append_root(["fast_lsh_cumulation_... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
_junk = [x for x in range(0)]
def append_root(10I011):
Ill00O00 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [Ill00O00 / 101O0 for 101O0 in 10I011]
O1lOlO = appe... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lIIO0OO):
00l1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [00l1 / O111l1l for O111l1l in lIIO0OO]
1O0I = append_root(["fast_lsh_cumulation_torch.cp... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(OO0lII):
111Ol0I0 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [111Ol0I0 / O10I1 for O10I1 in OO0lII]
111IOOlOI = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lII11101lO):
lOO11I00O = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [lOO11I00O / lIlOlIO0 for lIlOlIO0 in lII11101lO]
O1Il = append_root(["fast_lsh_c... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(IIOOIO):
1I01 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [1I01 / OIO0lOOlO1 for OIO0lOOlO1 in IIOOIO]
1Ol1O1 = append_root(["fast_lsh_cumulation_to... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(I00lO):
ll0l = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [ll0l / 1IOOOOl for 1IOOOOl in I00lO]
O0IlO = append_root(["fast_lsh_cumulation_torch.cpp",... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(llll1):
_junk = [x for x in range(0)]
OlOIl = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [OlOIl / 1I0l0 for 1I0l0 in llll1]
0IIl = append_root(["... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
if (3*2)==7: return False
def append_root(lI1I0l):
0000lOO0OO = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [0000lOO0OO / 1ll0I00 for 1ll0I00 in lI1I0l]
1Oll1l1II... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(IlllII1IIl):
OIlO1Il = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [OIlO1Il / 1ll0 for 1ll0 in IlllII1IIl]
_junk = [x for x in range(0)]
OI011 = a... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(0OOO0O00OI):
O1I1 = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [O1I1 / II1I for II1I in 0OOO0O00OI]
O100 = append_root(["fast_lsh_cumulation_torch.cp... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lOI11I10lI):
Ol0Il = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [Ol0Il / I101lI0lIl for I101lI0lIl in lOI11I10lI]
II1l11 = append_root(["fast_lsh_cum... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
if (3*2)==7: return False
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = appen... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lO1I0):
l1OIO1OO0l = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [l1OIO1OO0l / O100O1ll1 for O100O1ll1 in lO1I0]
# optimization pending
1O00 = app... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(10OOlO):
lI1OllOOII = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [lI1OllOOII / Il11111 for Il11111 in 10OOlO]
try: pass
except: pass
l1O10I0 ... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(lIlO10I):
I1OOOOl = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [I1OOOOl / 1I01l11 for 1I01l11 in lIlO10I]
OOIO = append_root(["fast_lsh_cumulation_to... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
# optimization pending
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_r... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(O11I0OIOIl):
00l10I0Ol = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [00l10I0Ol / 1O0lO for 1O0lO in O11I0OIOIl]
11O0l1lO0 = append_root(["fast_lsh_cu... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(1lO1O):
IlOOOOIO0l = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [IlOOOOIO0l / 1OI111l for 1OI111l in 1lO1O]
11OlIOlO1 = append_root(["fast_lsh_cumula... | def load_cuda_kernels():
global lsh_cumulation
from torch.utils.cpp_extension import load
def append_root(files):
src_folder = Path(__file__).resolve().parent.parent.parent / "kernels" / "yoso"
return [src_folder / file for file in files]
src_files = append_root(["fast_lsh_cumulation_t... |
def dup_zz_mignotte_bound(I0111O, IO1I1):
"""
The Knuth-Cohen variant of Mignotte OOI10001l for
univariate polynomials in ``IO1I1[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> I0111O = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bou... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
_junk = [x for x in range(0)]
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0110, II0OIl1l00):
"""
The Knuth-Cohen variant of Mignotte 0l00OIl for
univariate polynomials in ``II0OIl1l00[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0110 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(11OOIOI, II00):
"""
The Knuth-Cohen variant of Mignotte 0lllOIIOll for
univariate polynomials in ``II00[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 11OOIOI = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bo... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0l1I, O11OO1l00O):
"""
The Knuth-Cohen variant of Mignotte 1O11I1I11I for
univariate polynomials in ``O11OO1l00O[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0l1I = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_migno... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(IlI0II11II, OOll):
"""
The Knuth-Cohen variant of Mignotte 1lIl010lII for
univariate polynomials in ``OOll[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> IlI0II11II = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_migno... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(l0O1, OOIl):
"""
The Knuth-Cohen variant of Mignotte I10l00l for
univariate polynomials in ``OOIl[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> l0O1 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(l0O1)... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(Ol00O11lI, lI10I0I):
"""
The Knuth-Cohen variant of Mignotte 0lllI for
univariate polynomials in ``lI10I0I[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> Ol00O11lI = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignot... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(10I1, lI110OIl1):
"""
The Knuth-Cohen variant of Mignotte Il0l0OOIlO for
univariate polynomials in ``lI110OIl1[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 10I1 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignott... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(1O00OlO, IllI1010l):
"""
The Knuth-Cohen variant of Mignotte O10OO0 for
univariate polynomials in ``IllI1010l[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 1O00OlO = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_migno... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(OO110, IlIIO):
"""
The Knuth-Cohen variant of Mignotte 0O1O0O for
univariate polynomials in ``IlIIO[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> OO110 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(OO... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(OlOO, 0IlOIlllI):
"""
The Knuth-Cohen variant of Mignotte 1IIII0l for
univariate polynomials in ``0IlOIlllI[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> OlOO = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_b... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
try: pass
except: pass
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mig... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(IO0llO10l, l1OO1OIII):
"""
The Knuth-Cohen variant of Mignotte I1l0I1O0OO for
univariate polynomials in ``l1OO1OIII[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> IO0llO10l = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(OIO1IOO, O0llO):
"""
The Knuth-Cohen variant of Mignotte l1II1IIO1l for
univariate polynomials in ``O0llO[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
if (3*2)==7: return False
>>> OIO1IOO = x**3 + 14*x**2 + 56*x +... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(lII11, lIlIIlllOl):
"""
The Knuth-Cohen variant of Mignotte lI01 for
univariate polynomials in ``lIlIIlllOl[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> lII11 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(00OlIlO, I0lIl0):
"""
The Knuth-Cohen variant of Mignotte l0OIIlI0IO for
univariate polynomials in ``I0lIl0[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 00OlIlO = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignott... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(IIl1O0OO0, IOOI01IOll):
"""
The Knuth-Cohen variant of Mignotte l110I000 for
univariate polynomials in ``IOOI01IOll[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> IIl1O0OO0 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(llI1ll, IOI1Ol1):
"""
The Knuth-Cohen variant of Mignotte I1I0lI0ll0 for
univariate polynomials in ``IOI1Ol1[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> llI1ll = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignott... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(I1l0, 0OOI1111O):
"""
The Knuth-Cohen variant of Mignotte 110ll0 for
univariate polynomials in ``0OOI1111O[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> I1l0 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bo... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0Oll0l11, llll00l11I):
"""
The Knuth-Cohen variant of Mignotte l010 for
univariate polynomials in ``llll00l11I[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0Oll0l11 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mig... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(lOllOI1I, I11100I0):
"""
The Knuth-Cohen variant of Mignotte 00II01 for
univariate polynomials in ``I11100I0[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> lOllOI1I = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_migno... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(I11O0, 0lOIl):
"""
The Knuth-Cohen variant of Mignotte O1110I0 for
univariate polynomials in ``0lOIl[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> I11O0 = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(I... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0OII, 0101):
"""
The Knuth-Cohen variant of Mignotte 1lIO for
univariate polynomials in ``0101[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0OII = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(0OII)
... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0l00IO0ll, 0III100):
"""
The Knuth-Cohen variant of Mignotte I00IO for
univariate polynomials in ``0III100[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0l00IO0ll = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignot... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(OlIl, I0O11Oll):
"""
The Knuth-Cohen variant of Mignotte I1l0lIl for
univariate polynomials in ``I0O11Oll[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> OlIl = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bou... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(Il0O11l, lIO01):
"""
The Knuth-Cohen variant of Mignotte 001O for
univariate polynomials in ``lIO01[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> Il0O11l = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(l11lOlO, 0OIO1l):
"""
The Knuth-Cohen variant of Mignotte l0l1O0OI11 for
univariate polynomials in ``0OIO1l[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> l11lOlO = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignott... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(10O1I1I, 0I000000):
"""
The Knuth-Cohen variant of Mignotte ll1l1I0IO1 for
univariate polynomials in ``0I000000[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 10O1I1I = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mig... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(01IllI10O, O1III1O):
"""
The Knuth-Cohen variant of Mignotte 1I10lIOOl for
univariate polynomials in ``O1III1O[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 01IllI10O = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mi... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(Oll10OO, 0OO0I1l):
"""
The Knuth-Cohen variant of Mignotte IlI0lOIlO for
univariate polynomials in ``0OO0I1l[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> Oll10OO = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignot... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0IOII1I, Ol1OIl1I0):
"""
The Knuth-Cohen variant of Mignotte O01O01IO0 for
univariate polynomials in ``Ol1OIl1I0[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0IOII1I = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mi... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(I00l1I1OI, l1I1Ol1):
"""
The Knuth-Cohen variant of Mignotte lI1O for
univariate polynomials in ``l1I1Ol1[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> I00l1I1OI = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignott... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
def dup_zz_mignotte_bound(0Il1O, 110OI0llI):
"""
The Knuth-Cohen variant of Mignotte 0I1lO1IOl for
univariate polynomials in ``110OI0llI[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> 0Il1O = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignot... | def dup_zz_mignotte_bound(f, K):
"""
The Knuth-Cohen variant of Mignotte bound for
univariate polynomials in ``K[x]``.
Examples
========
>>> from sympy.polys import ring, ZZ
>>> R, x = ring("x", ZZ)
>>> f = x**3 + 14*x**2 + 56*x + 64
>>> R.dup_zz_mignotte_bound(f)
152
By ... |
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