| #http://docs.python.org/2.7/library/csv.html | |
| import csv, codecs, cStringIO | |
| class UTF8Recoder: | |
| """ | |
| Iterator that reads an encoded stream and reencodes the input to UTF-8 | |
| """ | |
| def __init__(self, f, encoding): | |
| self.reader = codecs.getreader(encoding)(f) |
| 1 普通匹配，遵循最长匹配规则，假设一个请求匹配到了两个普通规则，则选择匹配长度大的那个 | |
| 例如： | |
| location /{ | |
| [matches] | |
| } | |
| location /test{ | |
| [matches] | |
| } | |
| 2 精确匹配 | |
| location = /{ |
# Key considerations for algorithm "RSA" ≥ 2048-bit
openssl genrsa -out server.key 2048
# Key considerations for algorithm "ECDSA" ≥ secp384r1
# List ECDSA the supported curves (openssl ecparam -list_curves)
| package main | |
| import ( | |
| "fmt" | |
| "reflect" | |
| ) | |
| type A struct {} | |
| func main() { |
| from functools import wraps | |
| import time | |
| def throttle2(max_hits, per): | |
| def deco(func): | |
| @wraps(func) | |
| def fn(*args, **kwargs): | |
| key = 'global' | |
| now = int(time.time()) |
I'm hunting for the best solution on how to handle keeping large sets of DB records "sorted" in a performant manner.
Most of us have work on projects at some point where we have needed to have ordered lists of objects. Whether it be a to-do list sorted by priority, or a list of documents that a user can sort in whatever order they want.
A traditional approach for this on a Rails project is to use something like the acts_as_list gem, or something similar. These systems typically add some sort of "postion" or "sort order" column to each record, which is then used when querying out the records in a traditional order by position SQL query.
This approach seems to work fine for smaller datasets, but can be hard to manage on large data sets with hundreds (or thousands) of records needing to be sorted. Changing the sort position of even a single object will require updating every single record in the database that is in the same sort group. This requires potentially thousands of wri
Wensheng Wang, 10/1/11
Source: http://blog.wensheng.org/2011/10/performance-of-flask-tornado-gevent-and.html
When choosing a web framework, I pretty much have eyes set on Tornado. But I heard good things about Flask and Gevent. So I tested the performance of each and combinations of the three. I chose something just a little more advanced than a "Hello World" program to write - one that use templates. Here are the codes:
| class Property(object): | |
| "Emulate PyProperty_Type() in Objects/descrobject.c" | |
| def __init__(self, fget=None, fset=None, fdel=None, doc=None): | |
| self.fget = fget | |
| self.fset = fset | |
| self.fdel = fdel | |
| if doc is None and fget is not None: | |
| doc = fget.__doc__ | |
| self.__doc__ = doc |
| from datetime import timedelta | |
| def week_range(date): | |
| """Find the first & last day of the week for the given day. | |
| Assuming weeks start on Sunday and end on Saturday. | |
| Returns a tuple of ``(start_date, end_date)``. | |
| """ |