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# [`hashlib`](#module-hashlib "hashlib: Secure hash and message digest algorithms.") --- 安全哈希与消息摘要
**Source code:** [Lib/hashlib.py](https://github.com/python/cpython/tree/3.7/Lib/hashlib.py) \[https://github.com/python/cpython/tree/3.7/Lib/hashlib.py\]
- - - - - -
This module implements a common interface to many different secure hash and message digest algorithms. Included are the FIPS secure hash algorithms SHA1, SHA224, SHA256, SHA384, and SHA512 (defined in FIPS 180-2) as well as RSA's MD5 algorithm (defined in Internet [**RFC 1321**](https://tools.ietf.org/html/rfc1321.html) \[https://tools.ietf.org/html/rfc1321.html\]). The terms "secure hash" and "message digest" are interchangeable. Older algorithms were called message digests. The modern term is secure hash.
注解
如果你想找到 adler32 或 crc32 哈希函数,它们在 [`zlib`](zlib.xhtml#module-zlib "zlib: Low-level interface to compression and decompression routines compatible with gzip.") 模块中。
警告
有些算法已知存在哈希碰撞弱点,请参考最后的“另请参阅”段。
## 哈希算法
There is one constructor method named for each type of *hash*. All return a hash object with the same simple interface. For example: use `sha256()` to create a SHA-256 hash object. You can now feed this object with [bytes-like objects](../glossary.xhtml#term-bytes-like-object) (normally [`bytes`](stdtypes.xhtml#bytes "bytes")) using the `update()` method. At any point you can ask it for the *digest* of the concatenation of the data fed to it so far using the `digest()` or `hexdigest()` methods.
注解
For better multithreading performance, the Python [GIL](../glossary.xhtml#term-gil) is released for data larger than 2047 bytes at object creation or on update.
注解
Feeding string objects into `update()` is not supported, as hashes work on bytes, not on characters.
Constructors for hash algorithms that are always present in this module are `sha1()`, `sha224()`, `sha256()`, `sha384()`, `sha512()`, [`blake2b()`](#hashlib.blake2b "hashlib.blake2b"), and [`blake2s()`](#hashlib.blake2s "hashlib.blake2s"). `md5()` is normally available as well, though it may be missing if you are using a rare "FIPS compliant" build of Python. Additional algorithms may also be available depending upon the OpenSSL library that Python uses on your platform. On most platforms the `sha3_224()`, `sha3_256()`, `sha3_384()`, `sha3_512()`, `shake_128()`, `shake_256()` are also available.
3\.6 新版功能: SHA3 (Keccak) and SHAKE constructors `sha3_224()`, `sha3_256()`, `sha3_384()`, `sha3_512()`, `shake_128()`, `shake_256()`.
3\.6 新版功能: 添加了 [`blake2b()`](#hashlib.blake2b "hashlib.blake2b") 和 [`blake2s()`](#hashlib.blake2s "hashlib.blake2s") 。
For example, to obtain the digest of the byte string
```
b'Nobody inspects the
spammish repetition'
```
:
```
>>> import hashlib
>>> m = hashlib.sha256()
>>> m.update(b"Nobody inspects")
>>> m.update(b" the spammish repetition")
>>> m.digest()
b'\x03\x1e\xdd}Ae\x15\x93\xc5\xfe\\\x00o\xa5u+7\xfd\xdf\xf7\xbcN\x84:\xa6\xaf\x0c\x95\x0fK\x94\x06'
>>> m.digest_size
32
>>> m.block_size
64
```
More condensed:
```
>>> hashlib.sha224(b"Nobody inspects the spammish repetition").hexdigest()
'a4337bc45a8fc544c03f52dc550cd6e1e87021bc896588bd79e901e2'
```
`hashlib.``new`(*name*\[, *data*\])Is a generic constructor that takes the string *name* of the desired algorithm as its first parameter. It also exists to allow access to the above listed hashes as well as any other algorithms that your OpenSSL library may offer. The named constructors are much faster than [`new()`](#hashlib.new "hashlib.new")and should be preferred.
Using [`new()`](#hashlib.new "hashlib.new") with an algorithm provided by OpenSSL:
```
>>> h = hashlib.new('ripemd160')
>>> h.update(b"Nobody inspects the spammish repetition")
>>> h.hexdigest()
'cc4a5ce1b3df48aec5d22d1f16b894a0b894eccc'
```
Hashlib 提供下列常量属性:
`hashlib.``algorithms_guaranteed`A set containing the names of the hash algorithms guaranteed to be supported by this module on all platforms. Note that 'md5' is in this list despite some upstream vendors offering an odd "FIPS compliant" Python build that excludes it.
3\.2 新版功能.
`hashlib.``algorithms_available`A set containing the names of the hash algorithms that are available in the running Python interpreter. These names will be recognized when passed to [`new()`](#hashlib.new "hashlib.new"). [`algorithms_guaranteed`](#hashlib.algorithms_guaranteed "hashlib.algorithms_guaranteed") will always be a subset. The same algorithm may appear multiple times in this set under different names (thanks to OpenSSL).
3\.2 新版功能.
The following values are provided as constant attributes of the hash objects returned by the constructors:
`hash.``digest_size`The size of the resulting hash in bytes.
`hash.``block_size`The internal block size of the hash algorithm in bytes.
A hash object has the following attributes:
`hash.``name`The canonical name of this hash, always lowercase and always suitable as a parameter to [`new()`](#hashlib.new "hashlib.new") to create another hash of this type.
在 3.4 版更改: The name attribute has been present in CPython since its inception, but until Python 3.4 was not formally specified, so may not exist on some platforms.
A hash object has the following methods:
`hash.``update`(*data*)Update the hash object with the [bytes-like object](../glossary.xhtml#term-bytes-like-object). Repeated calls are equivalent to a single call with the concatenation of all the arguments: `m.update(a); m.update(b)` is equivalent to `m.update(a+b)`.
在 3.1 版更改: The Python GIL is released to allow other threads to run while hash updates on data larger than 2047 bytes is taking place when using hash algorithms supplied by OpenSSL.
`hash.``digest`()Return the digest of the data passed to the [`update()`](#hashlib.hash.update "hashlib.hash.update") method so far. This is a bytes object of size [`digest_size`](#hashlib.hash.digest_size "hashlib.hash.digest_size") which may contain bytes in the whole range from 0 to 255.
`hash.``hexdigest`()Like [`digest()`](#hashlib.hash.digest "hashlib.hash.digest") except the digest is returned as a string object of double length, containing only hexadecimal digits. This may be used to exchange the value safely in email or other non-binary environments.
`hash.``copy`()Return a copy ("clone") of the hash object. This can be used to efficiently compute the digests of data sharing a common initial substring.
## SHAKE variable length digests
The `shake_128()` and `shake_256()` algorithms provide variable length digests with length\_in\_bits//2 up to 128 or 256 bits of security. As such, their digest methods require a length. Maximum length is not limited by the SHAKE algorithm.
`shake.``digest`(*length*)Return the digest of the data passed to the `update()` method so far. This is a bytes object of size *length* which may contain bytes in the whole range from 0 to 255.
`shake.``hexdigest`(*length*)Like [`digest()`](#hashlib.shake.digest "hashlib.shake.digest") except the digest is returned as a string object of double length, containing only hexadecimal digits. This may be used to exchange the value safely in email or other non-binary environments.
## Key derivation
Key derivation and key stretching algorithms are designed for secure password hashing. Naive algorithms such as `sha1(password)` are not resistant against brute-force attacks. A good password hashing function must be tunable, slow, and include a [salt](https://en.wikipedia.org/wiki/Salt_%28cryptography%29) \[https://en.wikipedia.org/wiki/Salt\_%28cryptography%29\].
`hashlib.``pbkdf2_hmac`(*hash\_name*, *password*, *salt*, *iterations*, *dklen=None*)The function provides PKCS#5 password-based key derivation function 2. It uses HMAC as pseudorandom function.
The string *hash\_name* is the desired name of the hash digest algorithm for HMAC, e.g. 'sha1' or 'sha256'. *password* and *salt* are interpreted as buffers of bytes. Applications and libraries should limit *password* to a sensible length (e.g. 1024). *salt* should be about 16 or more bytes from a proper source, e.g. [`os.urandom()`](os.xhtml#os.urandom "os.urandom").
The number of *iterations* should be chosen based on the hash algorithm and computing power. As of 2013, at least 100,000 iterations of SHA-256 are suggested.
*dklen* is the length of the derived key. If *dklen* is `None` then the digest size of the hash algorithm *hash\_name* is used, e.g. 64 for SHA-512.
```
>>> import hashlib, binascii
>>> dk = hashlib.pbkdf2_hmac('sha256', b'password', b'salt', 100000)
>>> binascii.hexlify(dk)
b'0394a2ede332c9a13eb82e9b24631604c31df978b4e2f0fbd2c549944f9d79a5'
```
3\.4 新版功能.
注解
A fast implementation of *pbkdf2\_hmac* is available with OpenSSL. The Python implementation uses an inline version of [`hmac`](hmac.xhtml#module-hmac "hmac: Keyed-Hashing for Message Authentication (HMAC) implementation"). It is about three times slower and doesn't release the GIL.
`hashlib.``scrypt`(*password*, *\**, *salt*, *n*, *r*, *p*, *maxmem=0*, *dklen=64*)The function provides scrypt password-based key derivation function as defined in [**RFC 7914**](https://tools.ietf.org/html/rfc7914.html) \[https://tools.ietf.org/html/rfc7914.html\].
*password* and *salt* must be [bytes-like objects](../glossary.xhtml#term-bytes-like-object). Applications and libraries should limit *password*to a sensible length (e.g. 1024). *salt* should be about 16 or more bytes from a proper source, e.g. [`os.urandom()`](os.xhtml#os.urandom "os.urandom").
*n* is the CPU/Memory cost factor, *r* the block size, *p* parallelization factor and *maxmem* limits memory (OpenSSL 1.1.0 defaults to 32 MiB). *dklen* is the length of the derived key.
[Availability](intro.xhtml#availability): OpenSSL 1.1+.
3\.6 新版功能.
## BLAKE2
[BLAKE2](https://blake2.net) \[https://blake2.net\] is a cryptographic hash function defined in [**RFC 7693**](https://tools.ietf.org/html/rfc7693.html) \[https://tools.ietf.org/html/rfc7693.html\] that comes in two flavors:
- **BLAKE2b**, optimized for 64-bit platforms and produces digests of any size between 1 and 64 bytes,
- **BLAKE2s**, optimized for 8- to 32-bit platforms and produces digests of any size between 1 and 32 bytes.
BLAKE2 supports **keyed mode** (a faster and simpler replacement for [HMAC](https://en.wikipedia.org/wiki/Hash-based_message_authentication_code) \[https://en.wikipedia.org/wiki/Hash-based\_message\_authentication\_code\]), **salted hashing**, **personalization**, and **tree hashing**.
Hash objects from this module follow the API of standard library's [`hashlib`](#module-hashlib "hashlib: Secure hash and message digest algorithms.") objects.
### Creating hash objects
New hash objects are created by calling constructor functions:
`hashlib.``blake2b`(*data=b''*, *\**, *digest\_size=64*, *key=b''*, *salt=b''*, *person=b''*, *fanout=1*, *depth=1*, *leaf\_size=0*, *node\_offset=0*, *node\_depth=0*, *inner\_size=0*, *last\_node=False*)`hashlib.``blake2s`(*data=b''*, *\**, *digest\_size=32*, *key=b''*, *salt=b''*, *person=b''*, *fanout=1*, *depth=1*, *leaf\_size=0*, *node\_offset=0*, *node\_depth=0*, *inner\_size=0*, *last\_node=False*)These functions return the corresponding hash objects for calculating BLAKE2b or BLAKE2s. They optionally take these general parameters:
- *data*: initial chunk of data to hash, which must be [bytes-like object](../glossary.xhtml#term-bytes-like-object). It can be passed only as positional argument.
- *digest\_size*: size of output digest in bytes.
- *key*: key for keyed hashing (up to 64 bytes for BLAKE2b, up to 32 bytes for BLAKE2s).
- *salt*: salt for randomized hashing (up to 16 bytes for BLAKE2b, up to 8 bytes for BLAKE2s).
- *person*: personalization string (up to 16 bytes for BLAKE2b, up to 8 bytes for BLAKE2s).
The following table shows limits for general parameters (in bytes):
Hash
digest\_size
len(key)
len(salt)
len(person)
BLAKE2b
64
64
16
16
BLAKE2s
32
32
8
8
注解
BLAKE2 specification defines constant lengths for salt and personalization parameters, however, for convenience, this implementation accepts byte strings of any size up to the specified length. If the length of the parameter is less than specified, it is padded with zeros, thus, for example, `b'salt'` and `b'salt\x00'` is the same value. (This is not the case for *key*.)
These sizes are available as module [constants](#constants) described below.
Constructor functions also accept the following tree hashing parameters:
- *fanout*: fanout (0 to 255, 0 if unlimited, 1 in sequential mode).
- *depth*: maximal depth of tree (1 to 255, 255 if unlimited, 1 in sequential mode).
- *leaf\_size*: maximal byte length of leaf (0 to 2\*\*32-1, 0 if unlimited or in sequential mode).
- *node\_offset*: node offset (0 to 2\*\*64-1 for BLAKE2b, 0 to 2\*\*48-1 for BLAKE2s, 0 for the first, leftmost, leaf, or in sequential mode).
- *node\_depth*: node depth (0 to 255, 0 for leaves, or in sequential mode).
- *inner\_size*: inner digest size (0 to 64 for BLAKE2b, 0 to 32 for BLAKE2s, 0 in sequential mode).
- *last\_node*: boolean indicating whether the processed node is the last one (False for sequential mode).
![](https://box.kancloud.cn/8a024b1c3bdd2f7ed88828a471ffe7ee_500x320.png)
See section 2.10 in [BLAKE2 specification](https://blake2.net/blake2_20130129.pdf) \[https://blake2.net/blake2\_20130129.pdf\] for comprehensive review of tree hashing.
### 常数
`blake2b.``SALT_SIZE``blake2s.``SALT_SIZE`Salt length (maximum length accepted by constructors).
`blake2b.``PERSON_SIZE``blake2s.``PERSON_SIZE`Personalization string length (maximum length accepted by constructors).
`blake2b.``MAX_KEY_SIZE``blake2s.``MAX_KEY_SIZE`Maximum key size.
`blake2b.``MAX_DIGEST_SIZE``blake2s.``MAX_DIGEST_SIZE`Maximum digest size that the hash function can output.
### 示例
#### Simple hashing
To calculate hash of some data, you should first construct a hash object by calling the appropriate constructor function ([`blake2b()`](#hashlib.blake2b "hashlib.blake2b") or [`blake2s()`](#hashlib.blake2s "hashlib.blake2s")), then update it with the data by calling `update()` on the object, and, finally, get the digest out of the object by calling `digest()` (or `hexdigest()` for hex-encoded string).
```
>>> from hashlib import blake2b
>>> h = blake2b()
>>> h.update(b'Hello world')
>>> h.hexdigest()
'6ff843ba685842aa82031d3f53c48b66326df7639a63d128974c5c14f31a0f33343a8c65551134ed1ae0f2b0dd2bb495dc81039e3eeb0aa1bb0388bbeac29183'
```
As a shortcut, you can pass the first chunk of data to update directly to the constructor as the positional argument:
```
>>> from hashlib import blake2b
>>> blake2b(b'Hello world').hexdigest()
'6ff843ba685842aa82031d3f53c48b66326df7639a63d128974c5c14f31a0f33343a8c65551134ed1ae0f2b0dd2bb495dc81039e3eeb0aa1bb0388bbeac29183'
```
You can call [`hash.update()`](#hashlib.hash.update "hashlib.hash.update") as many times as you need to iteratively update the hash:
```
>>> from hashlib import blake2b
>>> items = [b'Hello', b' ', b'world']
>>> h = blake2b()
>>> for item in items:
... h.update(item)
>>> h.hexdigest()
'6ff843ba685842aa82031d3f53c48b66326df7639a63d128974c5c14f31a0f33343a8c65551134ed1ae0f2b0dd2bb495dc81039e3eeb0aa1bb0388bbeac29183'
```
#### Using different digest sizes
BLAKE2 has configurable size of digests up to 64 bytes for BLAKE2b and up to 32 bytes for BLAKE2s. For example, to replace SHA-1 with BLAKE2b without changing the size of output, we can tell BLAKE2b to produce 20-byte digests:
```
>>> from hashlib import blake2b
>>> h = blake2b(digest_size=20)
>>> h.update(b'Replacing SHA1 with the more secure function')
>>> h.hexdigest()
'd24f26cf8de66472d58d4e1b1774b4c9158b1f4c'
>>> h.digest_size
20
>>> len(h.digest())
20
```
Hash objects with different digest sizes have completely different outputs (shorter hashes are *not* prefixes of longer hashes); BLAKE2b and BLAKE2s produce different outputs even if the output length is the same:
```
>>> from hashlib import blake2b, blake2s
>>> blake2b(digest_size=10).hexdigest()
'6fa1d8fcfd719046d762'
>>> blake2b(digest_size=11).hexdigest()
'eb6ec15daf9546254f0809'
>>> blake2s(digest_size=10).hexdigest()
'1bf21a98c78a1c376ae9'
>>> blake2s(digest_size=11).hexdigest()
'567004bf96e4a25773ebf4'
```
#### Keyed hashing
Keyed hashing can be used for authentication as a faster and simpler replacement for [Hash-based message authentication code](https://en.wikipedia.org/wiki/Hash-based_message_authentication_code) \[https://en.wikipedia.org/wiki/Hash-based\_message\_authentication\_code\] (HMAC). BLAKE2 can be securely used in prefix-MAC mode thanks to the indifferentiability property inherited from BLAKE.
This example shows how to get a (hex-encoded) 128-bit authentication code for message `b'message data'` with key `b'pseudorandom key'`:
```
>>> from hashlib import blake2b
>>> h = blake2b(key=b'pseudorandom key', digest_size=16)
>>> h.update(b'message data')
>>> h.hexdigest()
'3d363ff7401e02026f4a4687d4863ced'
```
As a practical example, a web application can symmetrically sign cookies sent to users and later verify them to make sure they weren't tampered with:
```
>>> from hashlib import blake2b
>>> from hmac import compare_digest
>>>
>>> SECRET_KEY = b'pseudorandomly generated server secret key'
>>> AUTH_SIZE = 16
>>>
>>> def sign(cookie):
... h = blake2b(digest_size=AUTH_SIZE, key=SECRET_KEY)
... h.update(cookie)
... return h.hexdigest().encode('utf-8')
>>>
>>> def verify(cookie, sig):
... good_sig = sign(cookie)
... return compare_digest(good_sig, sig)
>>>
>>> cookie = b'user-alice'
>>> sig = sign(cookie)
>>> print("{0},{1}".format(cookie.decode('utf-8'), sig))
user-alice,b'43b3c982cf697e0c5ab22172d1ca7421'
>>> verify(cookie, sig)
True
>>> verify(b'user-bob', sig)
False
>>> verify(cookie, b'0102030405060708090a0b0c0d0e0f00')
False
```
Even though there's a native keyed hashing mode, BLAKE2 can, of course, be used in HMAC construction with [`hmac`](hmac.xhtml#module-hmac "hmac: Keyed-Hashing for Message Authentication (HMAC) implementation") module:
```
>>> import hmac, hashlib
>>> m = hmac.new(b'secret key', digestmod=hashlib.blake2s)
>>> m.update(b'message')
>>> m.hexdigest()
'e3c8102868d28b5ff85fc35dda07329970d1a01e273c37481326fe0c861c8142'
```
#### Randomized hashing
By setting *salt* parameter users can introduce randomization to the hash function. Randomized hashing is useful for protecting against collision attacks on the hash function used in digital signatures.
> Randomized hashing is designed for situations where one party, the message preparer, generates all or part of a message to be signed by a second party, the message signer. If the message preparer is able to find cryptographic hash function collisions (i.e., two messages producing the same hash value), then they might prepare meaningful versions of the message that would produce the same hash value and digital signature, but with different results (e.g., transferring $1,000,000 to an account, rather than $10). Cryptographic hash functions have been designed with collision resistance as a major goal, but the current concentration on attacking cryptographic hash functions may result in a given cryptographic hash function providing less collision resistance than expected. Randomized hashing offers the signer additional protection by reducing the likelihood that a preparer can generate two or more messages that ultimately yield the same hash value during the digital signature generation process --- even if it is practical to find collisions for the hash function. However, the use of randomized hashing may reduce the amount of security provided by a digital signature when all portions of the message are prepared by the signer.
>
> ([NIST SP-800-106 "Randomized Hashing for Digital Signatures"](https://csrc.nist.gov/publications/detail/sp/800-106/final) \[https://csrc.nist.gov/publications/detail/sp/800-106/final\])
In BLAKE2 the salt is processed as a one-time input to the hash function during initialization, rather than as an input to each compression function.
警告
*Salted hashing* (or just hashing) with BLAKE2 or any other general-purpose cryptographic hash function, such as SHA-256, is not suitable for hashing passwords. See [BLAKE2 FAQ](https://blake2.net/#qa) \[https://blake2.net/#qa\] for more information.
```
>>> import os
>>> from hashlib import blake2b
>>> msg = b'some message'
>>> # Calculate the first hash with a random salt.
>>> salt1 = os.urandom(blake2b.SALT_SIZE)
>>> h1 = blake2b(salt=salt1)
>>> h1.update(msg)
>>> # Calculate the second hash with a different random salt.
>>> salt2 = os.urandom(blake2b.SALT_SIZE)
>>> h2 = blake2b(salt=salt2)
>>> h2.update(msg)
>>> # The digests are different.
>>> h1.digest() != h2.digest()
True
```
#### Personalization
Sometimes it is useful to force hash function to produce different digests for the same input for different purposes. Quoting the authors of the Skein hash function:
> We recommend that all application designers seriously consider doing this; we have seen many protocols where a hash that is computed in one part of the protocol can be used in an entirely different part because two hash computations were done on similar or related data, and the attacker can force the application to make the hash inputs the same. Personalizing each hash function used in the protocol summarily stops this type of attack.
>
> ([The Skein Hash Function Family](http://www.skein-hash.info/sites/default/files/skein1.3.pdf) \[http://www.skein-hash.info/sites/default/files/skein1.3.pdf\], p. 21)
BLAKE2 can be personalized by passing bytes to the *person* argument:
```
>>> from hashlib import blake2b
>>> FILES_HASH_PERSON = b'MyApp Files Hash'
>>> BLOCK_HASH_PERSON = b'MyApp Block Hash'
>>> h = blake2b(digest_size=32, person=FILES_HASH_PERSON)
>>> h.update(b'the same content')
>>> h.hexdigest()
'20d9cd024d4fb086aae819a1432dd2466de12947831b75c5a30cf2676095d3b4'
>>> h = blake2b(digest_size=32, person=BLOCK_HASH_PERSON)
>>> h.update(b'the same content')
>>> h.hexdigest()
'cf68fb5761b9c44e7878bfb2c4c9aea52264a80b75005e65619778de59f383a3'
```
Personalization together with the keyed mode can also be used to derive different keys from a single one.
```
>>> from hashlib import blake2s
>>> from base64 import b64decode, b64encode
>>> orig_key = b64decode(b'Rm5EPJai72qcK3RGBpW3vPNfZy5OZothY+kHY6h21KM=')
>>> enc_key = blake2s(key=orig_key, person=b'kEncrypt').digest()
>>> mac_key = blake2s(key=orig_key, person=b'kMAC').digest()
>>> print(b64encode(enc_key).decode('utf-8'))
rbPb15S/Z9t+agffno5wuhB77VbRi6F9Iv2qIxU7WHw=
>>> print(b64encode(mac_key).decode('utf-8'))
G9GtHFE1YluXY1zWPlYk1e/nWfu0WSEb0KRcjhDeP/o=
```
#### Tree mode
Here's an example of hashing a minimal tree with two leaf nodes:
```
10
/ \
00 01
```
This example uses 64-byte internal digests, and returns the 32-byte final digest:
```
>>> from hashlib import blake2b
>>>
>>> FANOUT = 2
>>> DEPTH = 2
>>> LEAF_SIZE = 4096
>>> INNER_SIZE = 64
>>>
>>> buf = bytearray(6000)
>>>
>>> # Left leaf
... h00 = blake2b(buf[0:LEAF_SIZE], fanout=FANOUT, depth=DEPTH,
... leaf_size=LEAF_SIZE, inner_size=INNER_SIZE,
... node_offset=0, node_depth=0, last_node=False)
>>> # Right leaf
... h01 = blake2b(buf[LEAF_SIZE:], fanout=FANOUT, depth=DEPTH,
... leaf_size=LEAF_SIZE, inner_size=INNER_SIZE,
... node_offset=1, node_depth=0, last_node=True)
>>> # Root node
... h10 = blake2b(digest_size=32, fanout=FANOUT, depth=DEPTH,
... leaf_size=LEAF_SIZE, inner_size=INNER_SIZE,
... node_offset=0, node_depth=1, last_node=True)
>>> h10.update(h00.digest())
>>> h10.update(h01.digest())
>>> h10.hexdigest()
'3ad2a9b37c6070e374c7a8c508fe20ca86b6ed54e286e93a0318e95e881db5aa'
```
### Credits
[BLAKE2](https://blake2.net) \[https://blake2.net\] was designed by *Jean-Philippe Aumasson*, *Samuel Neves*, *Zooko Wilcox-O'Hearn*, and *Christian Winnerlein* based on [SHA-3](https://en.wikipedia.org/wiki/NIST_hash_function_competition) \[https://en.wikipedia.org/wiki/NIST\_hash\_function\_competition\] finalist [BLAKE](https://131002.net/blake/) \[https://131002.net/blake/\]created by *Jean-Philippe Aumasson*, *Luca Henzen*, *Willi Meier*, and *Raphael C.-W. Phan*.
It uses core algorithm from [ChaCha](https://cr.yp.to/chacha.html) \[https://cr.yp.to/chacha.html\] cipher designed by *Daniel J. Bernstein*.
The stdlib implementation is based on [pyblake2](https://pythonhosted.org/pyblake2/) \[https://pythonhosted.org/pyblake2/\] module. It was written by *Dmitry Chestnykh* based on C implementation written by *Samuel Neves*. The documentation was copied from [pyblake2](https://pythonhosted.org/pyblake2/) \[https://pythonhosted.org/pyblake2/\] and written by *Dmitry Chestnykh*.
The C code was partly rewritten for Python by *Christian Heimes*.
The following public domain dedication applies for both C hash function implementation, extension code, and this documentation:
> To the extent possible under law, the author(s) have dedicated all copyright and related and neighboring rights to this software to the public domain worldwide. This software is distributed without any warranty.
>
> You should have received a copy of the CC0 Public Domain Dedication along with this software. If not, see <https://creativecommons.org/publicdomain/zero/1.0/>.
The following people have helped with development or contributed their changes to the project and the public domain according to the Creative Commons Public Domain Dedication 1.0 Universal:
- *Alexandr Sokolovskiy*
参见
Module [`hmac`](hmac.xhtml#module-hmac "hmac: Keyed-Hashing for Message Authentication (HMAC) implementation")A module to generate message authentication codes using hashes.
模块 [`base64`](base64.xhtml#module-base64 "base64: RFC 3548: Base16, Base32, Base64 Data Encodings; Base85 and Ascii85")Another way to encode binary hashes for non-binary environments.
<https://blake2.net>Official BLAKE2 website.
<https://csrc.nist.gov/csrc/media/publications/fips/180/2/archive/2002-08-01/documents/fips180-2.pdf>The FIPS 180-2 publication on Secure Hash Algorithms.
[https://en.wikipedia.org/wiki/Cryptographic\_hash\_function#Cryptographic\_hash\_algorithms](https://en.wikipedia.org/wiki/Cryptographic_hash_function#Cryptographic_hash_algorithms)Wikipedia article with information on which algorithms have known issues and what that means regarding their use.
<https://www.ietf.org/rfc/rfc2898.txt>PKCS #5: Password-Based Cryptography Specification Version 2.0
### 导航
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Python 软件基金会是一个非盈利组织。 [请捐助。](https://www.python.org/psf/donations/)
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- 文件格式
- csv — CSV 文件读写
- configparser — Configuration file parser
- netrc — netrc file processing
- xdrlib — Encode and decode XDR data
- plistlib — Generate and parse Mac OS X .plist files
- 加密服务
- hashlib — 安全哈希与消息摘要
- hmac — 基于密钥的消息验证
- secrets — Generate secure random numbers for managing secrets
- 通用操作系统服务
- os — 操作系统接口模块
- io — 处理流的核心工具
- time — 时间的访问和转换
- argparse — 命令行选项、参数和子命令解析器
- getopt — C-style parser for command line options
- 模块 logging — Python 的日志记录工具
- logging.config — 日志记录配置
- logging.handlers — Logging handlers
- getpass — 便携式密码输入工具
- curses — 终端字符单元显示的处理
- curses.textpad — Text input widget for curses programs
- curses.ascii — Utilities for ASCII characters
- curses.panel — A panel stack extension for curses
- platform — Access to underlying platform's identifying data
- errno — Standard errno system symbols
- ctypes — Python 的外部函数库
- 并发执行
- threading — 基于线程的并行
- multiprocessing — 基于进程的并行
- concurrent 包
- concurrent.futures — 启动并行任务
- subprocess — 子进程管理
- sched — 事件调度器
- queue — 一个同步的队列类
- _thread — 底层多线程 API
- _dummy_thread — _thread 的替代模块
- dummy_threading — 可直接替代 threading 模块。
- contextvars — Context Variables
- Context Variables
- Manual Context Management
- asyncio support
- 网络和进程间通信
- asyncio — 异步 I/O
- socket — 底层网络接口
- ssl — TLS/SSL wrapper for socket objects
- select — Waiting for I/O completion
- selectors — 高级 I/O 复用库
- asyncore — 异步socket处理器
- asynchat — 异步 socket 指令/响应 处理器
- signal — Set handlers for asynchronous events
- mmap — Memory-mapped file support
- 互联网数据处理
- email — 电子邮件与 MIME 处理包
- json — JSON 编码和解码器
- mailcap — Mailcap file handling
- mailbox — Manipulate mailboxes in various formats
- mimetypes — Map filenames to MIME types
- base64 — Base16, Base32, Base64, Base85 数据编码
- binhex — 对binhex4文件进行编码和解码
- binascii — 二进制和 ASCII 码互转
- quopri — Encode and decode MIME quoted-printable data
- uu — Encode and decode uuencode files
- 结构化标记处理工具
- html — 超文本标记语言支持
- html.parser — 简单的 HTML 和 XHTML 解析器
- html.entities — HTML 一般实体的定义
- XML处理模块
- xml.etree.ElementTree — The ElementTree XML API
- xml.dom — The Document Object Model API
- xml.dom.minidom — Minimal DOM implementation
- xml.dom.pulldom — Support for building partial DOM trees
- xml.sax — Support for SAX2 parsers
- xml.sax.handler — Base classes for SAX handlers
- xml.sax.saxutils — SAX Utilities
- xml.sax.xmlreader — Interface for XML parsers
- xml.parsers.expat — Fast XML parsing using Expat
- 互联网协议和支持
- webbrowser — 方便的Web浏览器控制器
- cgi — Common Gateway Interface support
- cgitb — Traceback manager for CGI scripts
- wsgiref — WSGI Utilities and Reference Implementation
- urllib — URL 处理模块
- urllib.request — 用于打开 URL 的可扩展库
- urllib.response — Response classes used by urllib
- urllib.parse — Parse URLs into components
- urllib.error — Exception classes raised by urllib.request
- urllib.robotparser — Parser for robots.txt
- http — HTTP 模块
- http.client — HTTP协议客户端
- ftplib — FTP protocol client
- poplib — POP3 protocol client
- imaplib — IMAP4 protocol client
- nntplib — NNTP protocol client
- smtplib —SMTP协议客户端
- smtpd — SMTP Server
- telnetlib — Telnet client
- uuid — UUID objects according to RFC 4122
- socketserver — A framework for network servers
- http.server — HTTP 服务器
- http.cookies — HTTP state management
- http.cookiejar — Cookie handling for HTTP clients
- xmlrpc — XMLRPC 服务端与客户端模块
- xmlrpc.client — XML-RPC client access
- xmlrpc.server — Basic XML-RPC servers
- ipaddress — IPv4/IPv6 manipulation library
- 多媒体服务
- audioop — Manipulate raw audio data
- aifc — Read and write AIFF and AIFC files
- sunau — 读写 Sun AU 文件
- wave — 读写WAV格式文件
- chunk — Read IFF chunked data
- colorsys — Conversions between color systems
- imghdr — 推测图像类型
- sndhdr — 推测声音文件的类型
- ossaudiodev — Access to OSS-compatible audio devices
- 国际化
- gettext — 多语种国际化服务
- locale — 国际化服务
- 程序框架
- turtle — 海龟绘图
- cmd — 支持面向行的命令解释器
- shlex — Simple lexical analysis
- Tk图形用户界面(GUI)
- tkinter — Tcl/Tk的Python接口
- tkinter.ttk — Tk themed widgets
- tkinter.tix — Extension widgets for Tk
- tkinter.scrolledtext — 滚动文字控件
- IDLE
- 其他图形用户界面(GUI)包
- 开发工具
- typing — 类型标注支持
- pydoc — Documentation generator and online help system
- doctest — Test interactive Python examples
- unittest — 单元测试框架
- unittest.mock — mock object library
- unittest.mock 上手指南
- 2to3 - 自动将 Python 2 代码转为 Python 3 代码
- test — Regression tests package for Python
- test.support — Utilities for the Python test suite
- test.support.script_helper — Utilities for the Python execution tests
- 调试和分析
- bdb — Debugger framework
- faulthandler — Dump the Python traceback
- pdb — The Python Debugger
- The Python Profilers
- timeit — 测量小代码片段的执行时间
- trace — Trace or track Python statement execution
- tracemalloc — Trace memory allocations
- 软件打包和分发
- distutils — 构建和安装 Python 模块
- ensurepip — Bootstrapping the pip installer
- venv — 创建虚拟环境
- zipapp — Manage executable Python zip archives
- Python运行时服务
- sys — 系统相关的参数和函数
- sysconfig — Provide access to Python's configuration information
- builtins — 内建对象
- main — 顶层脚本环境
- warnings — Warning control
- dataclasses — 数据类
- contextlib — Utilities for with-statement contexts
- abc — 抽象基类
- atexit — 退出处理器
- traceback — Print or retrieve a stack traceback
- future — Future 语句定义
- gc — 垃圾回收器接口
- inspect — 检查对象
- site — Site-specific configuration hook
- 自定义 Python 解释器
- code — Interpreter base classes
- codeop — Compile Python code
- 导入模块
- zipimport — Import modules from Zip archives
- pkgutil — Package extension utility
- modulefinder — 查找脚本使用的模块
- runpy — Locating and executing Python modules
- importlib — The implementation of import
- Python 语言服务
- parser — Access Python parse trees
- ast — 抽象语法树
- symtable — Access to the compiler's symbol tables
- symbol — 与 Python 解析树一起使用的常量
- token — 与Python解析树一起使用的常量
- keyword — 检验Python关键字
- tokenize — Tokenizer for Python source
- tabnanny — 模糊缩进检测
- pyclbr — Python class browser support
- py_compile — Compile Python source files
- compileall — Byte-compile Python libraries
- dis — Python 字节码反汇编器
- pickletools — Tools for pickle developers
- 杂项服务
- formatter — Generic output formatting
- Windows系统相关模块
- msilib — Read and write Microsoft Installer files
- msvcrt — Useful routines from the MS VC++ runtime
- winreg — Windows 注册表访问
- winsound — Sound-playing interface for Windows
- Unix 专有服务
- posix — The most common POSIX system calls
- pwd — 用户密码数据库
- spwd — The shadow password database
- grp — The group database
- crypt — Function to check Unix passwords
- termios — POSIX style tty control
- tty — 终端控制功能
- pty — Pseudo-terminal utilities
- fcntl — The fcntl and ioctl system calls
- pipes — Interface to shell pipelines
- resource — Resource usage information
- nis — Interface to Sun's NIS (Yellow Pages)
- Unix syslog 库例程
- 被取代的模块
- optparse — Parser for command line options
- imp — Access the import internals
- 未创建文档的模块
- 平台特定模块
- 扩展和嵌入 Python 解释器
- 推荐的第三方工具
- 不使用第三方工具创建扩展
- 使用 C 或 C++ 扩展 Python
- 自定义扩展类型:教程
- 定义扩展类型:已分类主题
- 构建C/C++扩展
- 在Windows平台编译C和C++扩展
- 在更大的应用程序中嵌入 CPython 运行时
- Embedding Python in Another Application
- Python/C API 参考手册
- 概述
- 代码标准
- 包含文件
- 有用的宏
- 对象、类型和引用计数
- 异常
- 嵌入Python
- 调试构建
- 稳定的应用程序二进制接口
- The Very High Level Layer
- Reference Counting
- 异常处理
- Printing and clearing
- 抛出异常
- Issuing warnings
- Querying the error indicator
- Signal Handling
- Exception Classes
- Exception Objects
- Unicode Exception Objects
- Recursion Control
- 标准异常
- 标准警告类别
- 工具
- 操作系统实用程序
- 系统功能
- 过程控制
- 导入模块
- Data marshalling support
- 语句解释及变量编译
- 字符串转换与格式化
- 反射
- 编解码器注册与支持功能
- 抽象对象层
- Object Protocol
- 数字协议
- Sequence Protocol
- Mapping Protocol
- 迭代器协议
- 缓冲协议
- Old Buffer Protocol
- 具体的对象层
- 基本对象
- 数值对象
- 序列对象
- 容器对象
- 函数对象
- 其他对象
- Initialization, Finalization, and Threads
- 在Python初始化之前
- 全局配置变量
- Initializing and finalizing the interpreter
- Process-wide parameters
- Thread State and the Global Interpreter Lock
- Sub-interpreter support
- Asynchronous Notifications
- Profiling and Tracing
- Advanced Debugger Support
- Thread Local Storage Support
- 内存管理
- 概述
- 原始内存接口
- Memory Interface
- 对象分配器
- 默认内存分配器
- Customize Memory Allocators
- The pymalloc allocator
- tracemalloc C API
- 示例
- 对象实现支持
- 在堆中分配对象
- Common Object Structures
- Type 对象
- Number Object Structures
- Mapping Object Structures
- Sequence Object Structures
- Buffer Object Structures
- Async Object Structures
- 使对象类型支持循环垃圾回收
- API 和 ABI 版本管理
- 分发 Python 模块
- 关键术语
- 开源许可与协作
- 安装工具
- 阅读指南
- 我该如何...?
- ...为我的项目选择一个名字?
- ...创建和分发二进制扩展?
- 安装 Python 模块
- 关键术语
- 基本使用
- 我应如何 ...?
- ... 在 Python 3.4 之前的 Python 版本中安装 pip ?
- ... 只为当前用户安装软件包?
- ... 安装科学计算类 Python 软件包?
- ... 使用并行安装的多个 Python 版本?
- 常见的安装问题
- 在 Linux 的系统 Python 版本上安装
- 未安装 pip
- 安装二进制编译扩展
- Python 常用指引
- 将 Python 2 代码迁移到 Python 3
- 简要说明
- 详情
- 将扩展模块移植到 Python 3
- 条件编译
- 对象API的更改
- 模块初始化和状态
- CObject 替换为 Capsule
- 其他选项
- Curses Programming with Python
- What is curses?
- Starting and ending a curses application
- Windows and Pads
- Displaying Text
- User Input
- For More Information
- 实现描述器
- 摘要
- 定义和简介
- 描述器协议
- 发起调用描述符
- 描述符示例
- Properties
- 函数和方法
- Static Methods and Class Methods
- 函数式编程指引
- 概述
- 迭代器
- 生成器表达式和列表推导式
- 生成器
- 内置函数
- itertools 模块
- The functools module
- Small functions and the lambda expression
- Revision History and Acknowledgements
- 引用文献
- 日志 HOWTO
- 日志基础教程
- 进阶日志教程
- 日志级别
- 有用的处理程序
- 记录日志中引发的异常
- 使用任意对象作为消息
- 优化
- 日志操作手册
- 在多个模块中使用日志
- 在多线程中使用日志
- 使用多个日志处理器和多种格式化
- 在多个地方记录日志
- 日志服务器配置示例
- 处理日志处理器的阻塞
- Sending and receiving logging events across a network
- Adding contextual information to your logging output
- Logging to a single file from multiple processes
- Using file rotation
- Use of alternative formatting styles
- Customizing LogRecord
- Subclassing QueueHandler - a ZeroMQ example
- Subclassing QueueListener - a ZeroMQ example
- An example dictionary-based configuration
- Using a rotator and namer to customize log rotation processing
- A more elaborate multiprocessing example
- Inserting a BOM into messages sent to a SysLogHandler
- Implementing structured logging
- Customizing handlers with dictConfig()
- Using particular formatting styles throughout your application
- Configuring filters with dictConfig()
- Customized exception formatting
- Speaking logging messages
- Buffering logging messages and outputting them conditionally
- Formatting times using UTC (GMT) via configuration
- Using a context manager for selective logging
- 正则表达式HOWTO
- 概述
- 简单模式
- 使用正则表达式
- 更多模式能力
- 修改字符串
- 常见问题
- 反馈
- 套接字编程指南
- 套接字
- 创建套接字
- 使用一个套接字
- 断开连接
- 非阻塞的套接字
- 排序指南
- 基本排序
- 关键函数
- Operator 模块函数
- 升序和降序
- 排序稳定性和排序复杂度
- 使用装饰-排序-去装饰的旧方法
- 使用 cmp 参数的旧方法
- 其它
- Unicode 指南
- Unicode 概述
- Python's Unicode Support
- Reading and Writing Unicode Data
- Acknowledgements
- 如何使用urllib包获取网络资源
- 概述
- Fetching URLs
- 处理异常
- info and geturl
- Openers and Handlers
- Basic Authentication
- Proxies
- Sockets and Layers
- 脚注
- Argparse 教程
- 概念
- 基础
- 位置参数介绍
- Introducing Optional arguments
- Combining Positional and Optional arguments
- Getting a little more advanced
- Conclusion
- ipaddress模块介绍
- 创建 Address/Network/Interface 对象
- 审查 Address/Network/Interface 对象
- Network 作为 Address 列表
- 比较
- 将IP地址与其他模块一起使用
- 实例创建失败时获取更多详细信息
- Argument Clinic How-To
- The Goals Of Argument Clinic
- Basic Concepts And Usage
- Converting Your First Function
- Advanced Topics
- 使用 DTrace 和 SystemTap 检测CPython
- Enabling the static markers
- Static DTrace probes
- Static SystemTap markers
- Available static markers
- SystemTap Tapsets
- 示例
- Python 常见问题
- Python常见问题
- 一般信息
- 现实世界中的 Python
- 编程常见问题
- 一般问题
- 核心语言
- 数字和字符串
- 性能
- 序列(元组/列表)
- 对象
- 模块
- 设计和历史常见问题
- 为什么Python使用缩进来分组语句?
- 为什么简单的算术运算得到奇怪的结果?
- 为什么浮点计算不准确?
- 为什么Python字符串是不可变的?
- 为什么必须在方法定义和调用中显式使用“self”?
- 为什么不能在表达式中赋值?
- 为什么Python对某些功能(例如list.index())使用方法来实现,而其他功能(例如len(List))使用函数实现?
- 为什么 join()是一个字符串方法而不是列表或元组方法?
- 异常有多快?
- 为什么Python中没有switch或case语句?
- 难道不能在解释器中模拟线程,而非得依赖特定于操作系统的线程实现吗?
- 为什么lambda表达式不能包含语句?
- 可以将Python编译为机器代码,C或其他语言吗?
- Python如何管理内存?
- 为什么CPython不使用更传统的垃圾回收方案?
- CPython退出时为什么不释放所有内存?
- 为什么有单独的元组和列表数据类型?
- 列表是如何在CPython中实现的?
- 字典是如何在CPython中实现的?
- 为什么字典key必须是不可变的?
- 为什么 list.sort() 没有返回排序列表?
- 如何在Python中指定和实施接口规范?
- 为什么没有goto?
- 为什么原始字符串(r-strings)不能以反斜杠结尾?
- 为什么Python没有属性赋值的“with”语句?
- 为什么 if/while/def/class语句需要冒号?
- 为什么Python在列表和元组的末尾允许使用逗号?
- 代码库和插件 FAQ
- 通用的代码库问题
- 通用任务
- 线程相关
- 输入输出
- 网络 / Internet 编程
- 数据库
- 数学和数字
- 扩展/嵌入常见问题
- 可以使用C语言中创建自己的函数吗?
- 可以使用C++语言中创建自己的函数吗?
- C很难写,有没有其他选择?
- 如何从C执行任意Python语句?
- 如何从C中评估任意Python表达式?
- 如何从Python对象中提取C的值?
- 如何使用Py_BuildValue()创建任意长度的元组?
- 如何从C调用对象的方法?
- 如何捕获PyErr_Print()(或打印到stdout / stderr的任何内容)的输出?
- 如何从C访问用Python编写的模块?
- 如何从Python接口到C ++对象?
- 我使用Setup文件添加了一个模块,为什么make失败了?
- 如何调试扩展?
- 我想在Linux系统上编译一个Python模块,但是缺少一些文件。为什么?
- 如何区分“输入不完整”和“输入无效”?
- 如何找到未定义的g++符号__builtin_new或__pure_virtual?
- 能否创建一个对象类,其中部分方法在C中实现,而其他方法在Python中实现(例如通过继承)?
- Python在Windows上的常见问题
- 我怎样在Windows下运行一个Python程序?
- 我怎么让 Python 脚本可执行?
- 为什么有时候 Python 程序会启动缓慢?
- 我怎样使用Python脚本制作可执行文件?
- *.pyd 文件和DLL文件相同吗?
- 我怎样将Python嵌入一个Windows程序?
- 如何让编辑器不要在我的 Python 源代码中插入 tab ?
- 如何在不阻塞的情况下检查按键?
- 图形用户界面(GUI)常见问题
- 图形界面常见问题
- Python 是否有平台无关的图形界面工具包?
- 有哪些Python的GUI工具是某个平台专用的?
- 有关Tkinter的问题
- “为什么我的电脑上安装了 Python ?”
- 什么是Python?
- 为什么我的电脑上安装了 Python ?
- 我能删除 Python 吗?
- 术语对照表
- 文档说明
- Python 文档贡献者
- 解决 Bug
- 文档错误
- 使用 Python 的错误追踪系统
- 开始为 Python 贡献您的知识
- 版权
- 历史和许可证
- 软件历史
- 访问Python或以其他方式使用Python的条款和条件
- Python 3.7.3 的 PSF 许可协议
- Python 2.0 的 BeOpen.com 许可协议
- Python 1.6.1 的 CNRI 许可协议
- Python 0.9.0 至 1.2 的 CWI 许可协议
- 集成软件的许可和认可
- Mersenne Twister
- 套接字
- Asynchronous socket services
- Cookie management
- Execution tracing
- UUencode and UUdecode functions
- XML Remote Procedure Calls
- test_epoll
- Select kqueue
- SipHash24
- strtod and dtoa
- OpenSSL
- expat
- libffi
- zlib
- cfuhash
- libmpdec