Peng Yu yupbank

## index.html
<html>

  <head>
    <title>Rotating Spinner Icon</title>
  </head>

  <body>

    <svg id="loading-spinner" xmlns="http://www.w3.org/2000/svg" width="48" height="48" viewBox="0 0 48 48">
      <g fill="none">

## graph_eval.py
import tensorflow as tf
from copy import deepcopy


def copy_tensor_to_graph(tensor, to_graph, cached_tensors, scope=''):
    if scope != '':
        new_name = scope + '/' + tensor.name
    else:
        new_name = tensor.name

## tree_inference.py
import numpy as np
import time


def timeit(func):
    def _(*args, **kwargs):
        start = time.time()
        res = func(*args, **kwargs)
        end = time.time() - start
        print('Func: %s, runtime: %.6f' % (func.__name__, end))

## factorial.py
import tensorflow as tf
import os

tf.app.flags.DEFINE_string('output_dir', '/tmp/factorial_output',
                           """Directory where to export inference model.""")
tf.app.flags.DEFINE_integer('model_version', 1,
                            """Version number of the model.""")

FLAGS = tf.app.flags.FLAGS

## number_hack.py
import sys
import ctypes
pyint_p = ctypes.POINTER(ctypes.c_byte*sys.getsizeof(5))
five = ctypes.cast(id(5), pyint_p)
print(2 + 2 == 5) # False
five.contents[five.contents[:].index(5)] = 4
print(2 + 2 == 5) # True (must be sufficiently large values of 2 there...)

## wawammseg.py
# -*- coding:utf-8 -*-

'写了一个简单的支持中文的正向最大匹配的机械分词,其它不用解释了，就几十行代码'
'搜狗词库下载地址：http://vdisk.weibo.com/s/7RlE5'

import string
__dict = {}

def load_dict(dict_file='words.dic'):
    '加载词库，把词库加载成一个key为首字符，value为相关词的列表的字典'
	<html>

	<head>
	<title>Rotating Spinner Icon</title>
	</head>

	<body>

	<svg id="loading-spinner" xmlns="http://www.w3.org/2000/svg" width="48" height="48" viewBox="0 0 48 48">
	<g fill="none">
	import tensorflow as tf
	from copy import deepcopy


	def copy_tensor_to_graph(tensor, to_graph, cached_tensors, scope=''):
	if scope != '':
	new_name = scope + '/' + tensor.name
	else:
	new_name = tensor.name
	import numpy as np
	import time


	def timeit(func):
	def _(args, *kwargs):
	start = time.time()
	res = func(args, *kwargs)
	end = time.time() - start
	print('Func: %s, runtime: %.6f' % (func.__name__, end))
	import tensorflow as tf
	import os

	tf.app.flags.DEFINE_string('output_dir', '/tmp/factorial_output',
	"""Directory where to export inference model.""")
	tf.app.flags.DEFINE_integer('model_version', 1,
	"""Version number of the model.""")

	FLAGS = tf.app.flags.FLAGS
	import sys
	import ctypes
	pyint_p = ctypes.POINTER(ctypes.c_byte*sys.getsizeof(5))
	five = ctypes.cast(id(5), pyint_p)
	print(2 + 2 == 5) # False
	five.contents[five.contents[:].index(5)] = 4
	print(2 + 2 == 5) # True (must be sufficiently large values of 2 there...)
	# -- coding:utf-8 --

	'写了一个简单的支持中文的正向最大匹配的机械分词,其它不用解释了，就几十行代码'
	'搜狗词库下载地址：http://vdisk.weibo.com/s/7RlE5'

	import string
	__dict = {}

	def load_dict(dict_file='words.dic'):
	'加载词库，把词库加载成一个key为首字符，value为相关词的列表的字典'