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#!/usr/bin/env python | |
from __future__ import division | |
from numpy import * | |
def iter(n,boundary): | |
p = ones(n) | |
b = boundary.copy() | |
j = 3*arange(1,n) | |
for i in xrange(1000): |
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#!/usr/bin/env python | |
from __future__ import division,print_function | |
from numpy import * | |
import scipy.sparse | |
import scipy.sparse.csgraph | |
""" | |
Consider approximate disjoint diagonal cycles concentric around the origin. | |
We can arrange that cycle C_n has radius O(n) and length O(n). |
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2015-11-14 22:02:14 -0800 | |
python | |
-c | |
import setuptools, tokenize | |
__file__ = 'setup.py' | |
exec(compile(getattr(tokenize, 'open', open)(__file__).read() | |
.replace('\r\n', '\n'), __file__, 'exec')) | |
--no-user-cfg | |
install |
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2015-11-15 14:05:33 -0800 | |
cmake | |
.. | |
-DCMAKE_C_FLAGS_RELEASE= | |
-DCMAKE_CXX_FLAGS_RELEASE= | |
-DCMAKE_INSTALL_PREFIX=/usr/local/Cellar/cubicsdr/HEAD | |
-DCMAKE_BUILD_TYPE=Release | |
-DCMAKE_FIND_FRAMEWORK=LAST | |
-DCMAKE_VERBOSE_MAKEFILE=ON |
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2015-11-15 14:09:03 -0800 | |
cmake | |
.. | |
-DCMAKE_SHARED_LINKER_FLAGS='-Wl,-undefined,dynamic_lookup' | |
-DPYTHON_LIBRARY='/usr/local/lib/libgnuradio-runtime.dylib' | |
-DCMAKE_C_FLAGS_RELEASE= | |
-DCMAKE_CXX_FLAGS_RELEASE= | |
-DCMAKE_INSTALL_PREFIX=/usr/local/Cellar/soapysdr/HEAD | |
-DCMAKE_BUILD_TYPE=Release |
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2015-11-15 14:05:33 -0800 | |
cmake | |
.. | |
-DCMAKE_C_FLAGS_RELEASE= | |
-DCMAKE_CXX_FLAGS_RELEASE= | |
-DCMAKE_INSTALL_PREFIX=/usr/local/Cellar/cubicsdr/HEAD | |
-DCMAKE_BUILD_TYPE=Release | |
-DCMAKE_FIND_FRAMEWORK=LAST | |
-DCMAKE_VERBOSE_MAKEFILE=ON |
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2015-11-15 16:43:49 -0800 | |
cmake | |
.. | |
-DCMAKE_C_FLAGS_RELEASE= | |
-DCMAKE_CXX_FLAGS_RELEASE= | |
-DCMAKE_INSTALL_PREFIX=/usr/local/Cellar/cubicsdr/HEAD | |
-DCMAKE_BUILD_TYPE=Release | |
-DCMAKE_FIND_FRAMEWORK=LAST | |
-DCMAKE_VERBOSE_MAKEFILE=ON |
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"""Print ops that have float but not double definitions.""" | |
from __future__ import absolute_import | |
from __future__ import division | |
from __future__ import print_function | |
from google3.net.proto2.python.public import text_format | |
from google3.pyglib import app | |
from google3.pyglib import flags | |
from google3.third_party.tensorflow.core.framework import op_def_pb2 |
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The complete works of Shakespeare in binary have length | |
s = 8 * 5.3M = 8 * 5458199 = 43665592 | |
Let S be the set of numbers that contain the complete works of Shakespeare in binary. | |
If N is the number of occurrences of the complete works of Shakespeare, N is approximately | |
Poisson distributed with mean | |
E(N) = (lg n - s) 2^-s = mu |
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000000000024e0e4 s GCC_except_table0 | |
0000000000256bb4 s GCC_except_table0 | |
0000000000256fd0 s GCC_except_table0 | |
0000000000257c30 s GCC_except_table0 | |
000000000025975c s GCC_except_table0 | |
00000000002597f8 s GCC_except_table0 | |
000000000025bf98 s GCC_except_table0 | |
000000000025c118 s GCC_except_table0 | |
000000000025dd8c s GCC_except_table0 | |
000000000025df1c s GCC_except_table0 |
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