Source code for hydrogram.raw.functions.premium.apply_boost

#  Hydrogram - Telegram MTProto API Client Library for Python
#  Copyright (C) 2023-present Hydrogram <https://hydrogram.org>
#
#  This file is part of Hydrogram.
#
#  Hydrogram is free software: you can redistribute it and/or modify
#  it under the terms of the GNU Lesser General Public License as published
#  by the Free Software Foundation, either version 3 of the License, or
#  (at your option) any later version.
#
#  Hydrogram is distributed in the hope that it will be useful,
#  but WITHOUT ANY WARRANTY; without even the implied warranty of
#  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
#  GNU Lesser General Public License for more details.
#
#  You should have received a copy of the GNU Lesser General Public License
#  along with Hydrogram.  If not, see <http://www.gnu.org/licenses/>.

from io import BytesIO

from hydrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector
from hydrogram.raw.core import TLObject
from hydrogram import raw
from typing import List, Optional, Any

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#          This is a generated file!          #
# All changes made in this file will be lost! #
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class ApplyBoost(TLObject):  # type: ignore
    """Apply one or more boosts » to a peer.


    Details:
        - Layer: ``181``
        - ID: ``6B7DA746``

    Parameters:
        peer (:obj:`InputPeer <hydrogram.raw.base.InputPeer>`):
            The peer to boost.

        slots (List of ``int`` ``32-bit``, *optional*):
            Which boost slots to assign to this peer.

    Returns:
        :obj:`premium.MyBoosts <hydrogram.raw.base.premium.MyBoosts>`
    """

    __slots__: List[str] = ["peer", "slots"]

    ID = 0x6b7da746
    QUALNAME = "functions.premium.ApplyBoost"

    def __init__(self, *, peer: "raw.base.InputPeer", slots: Optional[List[int]] = None) -> None:
        self.peer = peer  # InputPeer
        self.slots = slots  # flags.0?Vector<int>

    @staticmethod
    def read(b: BytesIO, *args: Any) -> "ApplyBoost":
        
        flags = Int.read(b)
        
        slots = TLObject.read(b, Int) if flags & (1 << 0) else []
        
        peer = TLObject.read(b)
        
        return ApplyBoost(peer=peer, slots=slots)

    def write(self, *args) -> bytes:
        b = BytesIO()
        b.write(Int(self.ID, False))

        flags = 0
        flags |= (1 << 0) if self.slots else 0
        b.write(Int(flags))
        
        if self.slots is not None:
            b.write(Vector(self.slots, Int))
        
        b.write(self.peer.write())
        
        return b.getvalue()