FM / nats

/opt/imunify360/venv/lib/python3.11/site-packages/nats/

/opt/imunify360/venv/lib/python3.11/site-packages/nats

Name	Size	Mode	Actions
aio/	-	0755	rm
js/	-	0755	rm
micro/	-	0755	rm
protocol/	-	0755	rm
__pycache__/	-	0755	rm
errors.py	4335	0644	edit dl rm
nuid.py	2210	0644	edit dl rm
py.typed	0	0644	edit dl rm
__init__.py	1446	0644	edit dl rm

Edit: /opt/imunify360/venv/lib/python3.11/site-packages/nats/nuid.py (2210B)

# Copyright 2016-2018 The NATS Authors
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

from __future__ import annotations

from random import Random
from secrets import randbelow, token_bytes
from sys import maxsize as MaxInt

DIGITS = b"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz"
BASE = 62
PREFIX_LENGTH = 12
SEQ_LENGTH = 10
MAX_SEQ = 839299365868340224  # BASE**10
MIN_INC = 33
MAX_INC = 333
INC = MAX_INC - MIN_INC
TOTAL_LENGTH = PREFIX_LENGTH + SEQ_LENGTH

class NUID:
    """
    NUID is an implementation of the approach for fast generation of
    unique identifiers used for inboxes in NATS.
    """

def __init__(self) -> None:
        self._prand = Random(randbelow(MaxInt))
        self._seq = self._prand.randint(0, MAX_SEQ)
        self._inc = MIN_INC + self._prand.randint(BASE + 1, INC)
        self._prefix = bytearray()
        self.randomize_prefix()

def next(self) -> bytearray:
        """
        next returns the next unique identifier.
        """
        self._seq += self._inc
        if self._seq >= MAX_SEQ:
            self.randomize_prefix()
            self.reset_sequential()

l = self._seq
        prefix = self._prefix[:]
        suffix = bytearray(SEQ_LENGTH)
        for i in reversed(range(SEQ_LENGTH)):
            suffix[i] = DIGITS[int(l) % BASE]
            l //= BASE

prefix.extend(suffix)
        return prefix

def randomize_prefix(self) -> None:
        random_bytes = token_bytes(PREFIX_LENGTH)
        self._prefix = bytearray(DIGITS[c % BASE] for c in random_bytes)

def reset_sequential(self) -> None:
        self._seq = self._prand.randint(0, MAX_SEQ)
        self._inc = MIN_INC + self._prand.randint(0, INC)

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