Python hashlib.blake2s() Examples
The following are 10
code examples of hashlib.blake2s().
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Example #1
Source File: rarfile.py From Lector with GNU General Public License v3.0 | 5 votes |
def _blake2s(self, ofs, depth, is_last): return blake2s(node_offset=ofs, node_depth=depth, last_node=is_last, depth=2, inner_size=32, fanout=self.parallelism)
Example #2
Source File: helper.py From slim with zlib License | 5 votes |
def _create_signature(secret: bytes, s): # hash = hashlib.blake2s(_signature_encode(s), key=secret[:32]) py3.6+ m = hmac.new(secret, digestmod=hashlib.sha256) m.update(_value_encode(s)) return m.hexdigest()
Example #3
Source File: rarfile.py From addon with GNU General Public License v3.0 | 5 votes |
def _blake2s(self, ofs, depth, is_last): return blake2s(node_offset=ofs, node_depth=depth, last_node=is_last, depth=2, inner_size=32, fanout=self.parallelism)
Example #4
Source File: rar_define.py From carpe with Apache License 2.0 | 5 votes |
def _blake2s(self, ofs, depth, is_last): return blake2s(node_offset=ofs, node_depth=depth, last_node=is_last, depth=2, inner_size=32, fanout=self.parallelism)
Example #5
Source File: hashable_list.py From research with MIT License | 5 votes |
def hash(x): return blake2s(x).digest() # Next power of 2 >= the input
Example #6
Source File: prime_shuffle.py From research with MIT License | 5 votes |
def hash(x): return blake2s(x).digest()[:32]
Example #7
Source File: fisher_yates_shuffle.py From research with MIT License | 5 votes |
def hash(x): return blake2s(x).digest()[:32]
Example #8
Source File: swap_or_not_shuffle.py From research with MIT License | 5 votes |
def hash(x): return blake2s(x).digest()[:32]
Example #9
Source File: feistel_shuffle.py From research with MIT License | 5 votes |
def hash(x): return blake2s(x).digest()[:32]
Example #10
Source File: rarfile.py From bazarr with GNU General Public License v3.0 | 5 votes |
def _blake2s(self, ofs, depth, is_last): return blake2s(node_offset=ofs, node_depth=depth, last_node=is_last, depth=2, inner_size=32, fanout=self.parallelism)