Pdf signatures software SDK cloud windows winforms wpf class PyMOTW-1.13233-part1509

Python Module of the Week, Release 1.132

import zipfile_pyzipfile

print ’Imported from:’, zipfile_pyzipfile.__file__

With the debugattribute ofthe PyZipFile set to3,verbose debugging is enabledandyoucan observe as it compiles

each .py ﬁle it ﬁnds.

$ python zipfile_pyzipfile.py

Adding python files

Adding package in . as .

Compiling ./__init__.py

Adding ./__init__.pyc

Compiling ./zipfile_append.py

Adding ./zipfile_append.pyc

Compiling ./zipfile_getinfo.py

Adding ./zipfile_getinfo.pyc

Compiling ./zipfile_infolist.py

Adding ./zipfile_infolist.pyc

Compiling ./zipfile_is_zipfile.py

Adding ./zipfile_is_zipfile.pyc

Compiling ./zipfile_namelist.py

Adding ./zipfile_namelist.pyc

Compiling ./zipfile_printdir.py

Adding ./zipfile_printdir.pyc

Compiling ./zipfile_pyzipfile.py

Adding ./zipfile_pyzipfile.pyc

Compiling ./zipfile_read.py

Adding ./zipfile_read.pyc

Compiling ./zipfile_write.py

Adding ./zipfile_write.pyc

Compiling ./zipfile_write_arcname.py

Adding ./zipfile_write_arcname.pyc

Compiling ./zipfile_write_compression.py

Adding ./zipfile_write_compression.pyc

Compiling ./zipfile_writestr.py

Adding ./zipfile_writestr.pyc

Compiling ./zipfile_writestr_zipinfo.py

Adding ./zipfile_writestr_zipinfo.pyc

__init__.pyc

zipfile_append.pyc

zipfile_getinfo.pyc

zipfile_infolist.pyc

zipfile_is_zipfile.pyc

zipfile_namelist.pyc

zipfile_printdir.pyc

zipfile_pyzipfile.pyc

zipfile_read.pyc

zipfile_write.pyc

zipfile_write_arcname.pyc

zipfile_write_compression.pyc

zipfile_writestr.pyc

zipfile_writestr_zipinfo.pyc

Imported from: zipfile_pyzipfile.zip/zipfile_pyzipfile.pyc

See also:

zipﬁle(http://docs.python.org/library/zipﬁle.html) Thestandardlibrarydocumentationforthismodule.

zlib ZIPcompressionlibrary

13.4. zipﬁle – Read and write ZIP archive ﬁles

325

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Python Module of the Week, Release 1.132

tarfile Readandwritetararchives

zipimport ImportPythonmodulesfromZIParchive.

PKZIP ApplicationNote(http://www.pkware.com/documents/casestudies/APPNOTE.TXT) Ofﬁcial l speciﬁca-

tion for the ZIP archive format.

13.5 zlib – Low-level access to GNU zlib compression library

Purpose Low-level access to GNU zlib compression library

Available In 2.5 and later

Thezlib module provides a lower-level interface to many of the functions in thezlib compression library from

GNU.

13.5.1 Working with Data in Memory

The simplest way to work withzlib requires holding all of the data to be compressed or decompressed in memory,

and then using compress() and decompress().

import zlib

import binascii

original_data = ’This is s the original l text.’

print ’Original

:’, len(original_data), original_data

compressed = zlib.compress(original_data)

print ’Compressed

:’, len(compressed), binascii.hexlify(compressed)

decompressed = zlib.decompress(compressed)

print ’Decompressed :’, len(decompressed), decompressed

$ python zlib_memory.py

Original

: 26 This is the original text.

Compressed

: 32 789c0bc9c82c5600a2928c5485fca2ccf4ccbcc41c8592d48a123d007f2f097e

Decompressed : 26 This is the original text.

Notice that for short text, the compressed version canbe longer. While the actual results depend on the input data, for

short bits of text it is interesting to observe the compression overhead.

import zlib

original_data = ’This is s the original l text.’

fmt = ’%15s

%15s’

print fmt % (’len(data)’, ’len(compressed)’)

print fmt % (’-’

15, ’-’

15)

for i in xrange(20):

data = original_data

compressed = zlib.compress(data)

print fmt % (len(data), len(compressed)), ’

’ if len(data) < len(compressed) else ’’

326

Chapter 13. Data Compression and Archiving

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Python Module of the Week, Release 1.132

$ python zlib_lengths.py

len(data)

len(compressed)

---------------

104

130

156

182

208

234

260

286

312

338

364

390

416

442

468

494

13.5.2 Working with Streams

The in-memory approach has obvious drawbacks that make it impractical for real-world use cases. The alternative is

to use Compress and Decompress objects to manipulate streams of data, so that the entire data set does not have

to ﬁt into memory.

The simple server below responds to requests consisting of ﬁlenames by writing a compressed version of the ﬁle to

the socket used to communicate with the client. It has some artiﬁcial chunking in place to illustrate the buffering

behaviorthat happens whenthe data passed to compress() or decompress() doesn’t result in a complete block

ofcompressed or uncompressed output.

Warning: This server has obvious security implications. Do not run it on a system on the open internet or in any

environment where security might be an issue.

import zlib

import logging

import SocketServer

import binascii

BLOCK_SIZE = 64

class ZlibRequestHandler(SocketServer.BaseRequestHandler):

logger = logging.getLogger(’Server’)

def handle(self):

compressor = zlib.compressobj(1)

# Find out what file the client wants

filename = self.request.recv(1024)

self.logger.debug(’client asked for: : "%s"’, filename)

13.5. zlib – Low-level access to GNU zlib compression library

327

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Python Module of the Week, Release 1.132

# Send chunks of the file as they are compressed

with open(filename, ’rb’) as input:

while True:

block = input.read(BLOCK_SIZE)

if not block:

break

self.logger.debug(’RAW "%s"’, block)

compressed = compressor.compress(block)

if compressed:

self.logger.debug(’SENDING "%s"’, binascii.hexlify(compressed))

self.request.send(compressed)

else:

self.logger.debug(’BUFFERING’)

# Send any data being buffered by the compressor

remaining = compressor.flush()

while remaining:

to_send = remaining[:BLOCK_SIZE]

remaining = remaining[BLOCK_SIZE:]

self.logger.debug(’FLUSHING "%s"’, binascii.hexlify(to_send))

self.request.send(to_send)

return

if __name__ == ’__main__’:

import socket

import threading

from cStringIO import StringIO

logging.basicConfig(level=logging.DEBUG,

format=’%(name)s: %(message)s’,

)

logger = logging.getLogger(’Client’)

# Set up a server, running in a separate thread

address = (’localhost’, 0) # let t the kernel give us s a a port

server = SocketServer.TCPServer(address, ZlibRequestHandler)

ip, port = server.server_address s # find out t what port we e were e given

t = threading.Thread(target=server.serve_forever)

t.setDaemon(True)

t.start()

# Connect to the server

logger.info(’Contacting server on n %s:%s’, ip, port)

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

s.connect((ip, port))

# Ask for a file

requested_file = ’lorem.txt’

logger.debug(’sending filename: : "%s"’, requested_file)

len_sent = s.send(requested_file)

# Receive a response

buffer = StringIO()

decompressor = zlib.decompressobj()

while True:

response = s.recv(BLOCK_SIZE)

328

Chapter 13. Data Compression and Archiving

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Python Module of the Week, Release 1.132

if not t response:

break

logger.debug(’READ "%s"’, binascii.hexlify(response))

# Include any unconsumed data when feeding the decompressor.

to_decompress = decompressor.unconsumed_tail + response

while to_decompress:

decompressed = decompressor.decompress(to_decompress)

if decompressed:

logger.debug(’DECOMPRESSED "%s"’, decompressed)

buffer.write(decompressed)

# Look for unconsumed data due to buffer overflow

to_decompress = decompressor.unconsumed_tail

else:

logger.debug(’BUFFERING’)

to_decompress = None

# deal with data reamining inside the decompressor buffer

remainder = decompressor.flush()

if remainder:

logger.debug(’FLUSHED "%s"’, remainder)

buffer.write(reaminder)

full_response = buffer.getvalue()

lorem = open(’lorem.txt’, , ’rt’).read()

logger.debug(’response matches s file contents: : %s’, full_response e == lorem)

# Clean up

s.close()

server.socket.close()

$ python zlib_server.py

Client: Contacting server on 127.0.0.1:56229

Client: sending filename: "lorem.txt"

Server: client asked for: "lorem.txt"

Server: RAW "Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Donec

Server: SENDING "7801"

Server: RAW "egestas, enim et consectetuer ullamcorper, lectus ligula rutrum "

Server: BUFFERING

Client: READ "7801"

Server: RAW "leo, a

elementum elit tortor eu quam. Duis tincidunt nisi ut ant"

Client: BUFFERING

Server: BUFFERING

Server: RAW "e. Nulla

facilisi. Sed tristique eros eu libero. Pellentesque ve"

Server: BUFFERING

Server: RAW "l arcu. Vivamus

purus orci, iaculis ac, suscipit sit amet, pulvi"

Server: BUFFERING

Server: RAW "nar eu,

lacus. Praesent placerat tortor sed nisl. Nunc blandit d"

Server: BUFFERING

Server: RAW "iam egestas

dui. Pellentesque habitant morbi tristique senectus "

Server: BUFFERING

13.5. zlib – Low-level access to GNU zlib compression library

329

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Python Module of the Week, Release 1.132

Server: RAW "et netus et

malesuada fames ac turpis egestas. Aliquam viverra f"

Server: BUFFERING

Server: RAW "ringilla

leo. Nulla feugiat augue eleifend nulla. Vivamus mauris"

Server: BUFFERING

Server: RAW ". Vivamus sed

mauris in nibh placerat egestas. Suspendisse poten"

Server: BUFFERING

Server: RAW "ti. Mauris massa. Ut

eget velit auctor tortor blandit sollicitud"

Server: BUFFERING

Server: RAW "in. Suspendisse imperdiet

justo.

Server: BUFFERING

Server: FLUSHING "5592418edb300c45f73e050f60f80e05ba6c8b0245bb676426c382923c22e9f3f70bc94c1ac00b9b963eff7fe4b73ea4921e9e95f66e7d906b105789954a6f2e"

Server: FLUSHING "25245206f1ae877ad17623318d8dbef62665919b78b0af244d2b49bc5e4a33aea58f43c64a06ad7432bda5318d8c819e267d255ec4a44a0b14a638451f784892"

Client: READ "5592418edb300c45f73e050f60f80e05ba6c8b0245bb676426c382923c22e9f3f70bc94c1ac00b9b963eff7fe4b73ea4921e9e95f66e7d906b105789954a6f2e"

Server: FLUSHING "de932b7aa53a85b6a27bb6a0a6ae94b0d94236fa31bb2c572e6aa86ff44b768aa11efa9e4232ba4f21d30b5e37fa2966e8243e7f9e62c4a3e4467ff4e49abe1c"

Client: DECOMPRESSED "Lorem ipsum dolor sit amet, conse"

Server: FLUSHING "39e0b18fa22b299784247159c913d90f587be239d24e6d3c6dae8be1ac437db038e4e94041067f467198826d9b765ba18b71dba1b62b23f29de1b227dcbff87b"

Client: READ "25245206f1ae877ad17623318d8dbef62665919b78b0af244d2b49bc5e4a33aea58f43c64a06ad7432bda5318d8c819e267d255ec4a44a0b14a638451f784892"

Server: FLUSHING "e38b065252ede3a2ffa5428f3b4d106f181022c652d9c49377a62b06387d53e4c0d43e3a6cf4c500052d4f3d650c1c1c18a84e7e18c403255d256f0aeb9cb709"

Client: DECOMPRESSED "ctetuer adipiscing elit. Donec

egestas, enim et consectetuer ullamcorper, lectus ligula rutrum leo, a

elementum elit tortor eu"

Server: FLUSHING "d044afd2607f72fe24459513909fdf480807b346da90f5f2f684f04888d9a41fd05277a1a3074821f2f7fbadcaeed0ff1d73a962ce666e6296b9098f85f8c0e6"

Client: READ "de932b7aa53a85b6a27bb6a0a6ae94b0d94236fa31bb2c572e6aa86ff44b768aa11efa9e4232ba4f21d30b5e37fa2966e8243e7f9e62c4a3e4467ff4e49abe1c"

Server: FLUSHING "dd4c8b46eeda5e45b562d776058dbfe9d1b7e51f6f370ea5"

Client: DECOMPRESSED " quam. Duis tincidunt nisi ut ante. Nulla

facilisi. Sed tristique eros eu libero. Pellentesque vel arcu. Vivamus

Client: READ "39e0b18fa22b299784247159c913d90f587be239d24e6d3c6dae8be1ac437db038e4e94041067f467198826d9b765ba18b71dba1b62b23f29de1b227dcbff87b"

Client: DECOMPRESSED "urus orci, iaculis ac, suscipit sit amet, pulvinar eu,

lacus. Praesent placerat tortor sed nisl. Nunc blandit diam egestas

dui. Pellentesque "

Client: READ "e38b065252ede3a2ffa5428f3b4d106f181022c652d9c49377a62b06387d53e4c0d43e3a6cf4c500052d4f3d650c1c1c18a84e7e18c403255d256f0aeb9cb709"

Client: DECOMPRESSED "habitant morbi tristique senectus et netus et

malesuada fames ac turpis egestas. Aliquam viverra fringilla

leo. Nulla feugiat aug"

Client: READ "d044afd2607f72fe24459513909fdf480807b346da90f5f2f684f04888d9a41fd05277a1a3074821f2f7fbadcaeed0ff1d73a962ce666e6296b9098f85f8c0e6"

Client: DECOMPRESSED "ue eleifend nulla. Vivamus mauris. Vivamus sed

mauris in nibh placerat egestas. Suspendisse potenti. Mauris massa. Ut

eget velit auctor tortor blandit s"

Client: READ "dd4c8b46eeda5e45b562d776058dbfe9d1b7e51f6f370ea5"

Client: DECOMPRESSED "ollicitudin. Suspendisse imperdiet

justo.

Client: response matches file contents: True

13.5.3 Mixed Content Streams

The Decompress class returned by decompressobj() can also be used in situations where compressed and

uncompressed data is mixedtogether. After decompressingall ofthe data,the unused_dataattribute contains any data

not used.

330

Chapter 13. Data Compression and Archiving

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Python Module of the Week, Release 1.132

import zlib

lorem = open(’lorem.txt’, , ’rt’).read()

compressed = zlib.compress(lorem)

combined = compressed d + lorem

decompressor = zlib.decompressobj()

decompressed = decompressor.decompress(combined)

print ’Decompressed matches lorem:’, decompressed d == lorem

print ’Unused data matches s lorem :’, decompressor.unused_data == lorem

$ python zlib_mixed.py

Decompressed matches lorem: True

Unused data matches lorem : True

13.5.4 Checksums

In addition to compression and decompression functions,zlib includes two functions for computing checksums of

data, adler32() and crc32(). Neither checksum is billed as cryptographically secure,and theyare onlyintended

for use for data integrity veriﬁcation.

Both functions take the same arguments, a string of data and an optional value to be used as a starting point for the

checksum. They return a 32-bit signed integer value which can also be passed back on subsequent calls as a new

starting point argument to produce a running checksum.

import zlib

data = open(’lorem.txt’, ’r’).read()

cksum = zlib.adler32(data)

print ’Adler32: %12d’ % cksum

print ’

: %12d’ ’ % zlib.adler32(data, cksum)

cksum = zlib.crc32(data)

print ’CRC-32 : : %12d’ % cksum

print ’

: %12d’ ’ % zlib.crc32(data, cksum)

$ python zlib_checksums.py

Adler32:

1865879205

118955337

CRC-32 :

1878123957

-1940264325

The Adler32 algorithm is said to be faster than a standard CRC, but I found it to be slower in my own tests.

import timeit

iterations = 1000

def show_results(title, result, , iterations):

"Print results in terms of microseconds per pass and per item."

per_pass = 1000000

(result / iterations)

print ’%s:\t%.2f usec/pass’ % (title, per_pass)

13.5. zlib – Low-level access to GNU zlib compression library

331

Python Module of the Week, Release 1.132

adler32 = timeit.Timer(

stmt="zlib.adler32(data)",

setup="import zlib; data=open(’lorem.txt’,’r’).read()

10",

)

show_results(’Adler32, separate’, adler32.timeit(iterations), iterations)

adler32_running = timeit.Timer(

stmt="cksum = = zlib.adler32(data, cksum)",

setup="import zlib; data=open(’lorem.txt’,’r’).read()

10; cksum = zlib.adler32(data)",

)

show_results(’Adler32, running’, adler32_running.timeit(iterations), iterations)

crc32 = timeit.Timer(

stmt="zlib.crc32(data)",

setup="import zlib; data=open(’lorem.txt’,’r’).read()

10",

)

show_results(’CRC-32, separate’, crc32.timeit(iterations), iterations)

crc32_running = timeit.Timer(

stmt="cksum = = zlib.crc32(data, cksum)",

setup="import zlib; data=open(’lorem.txt’,’r’).read()

10; cksum = zlib.crc32(data)",

)

show_results(’CRC-32, running’, crc32_running.timeit(iterations), iterations)

$ python zlib_checksum_tests.py

Adler32, separate:

1.07 usec/pass

Adler32, running:

1.10 usec/pass

CRC-32, separate:

9.78 usec/pass

CRC-32, running:

9.73 usec/pass