#  Pyrogram - Telegram MTProto API Client Library for Python
#  Copyright (C) 2017-present Dan <https://github.com/delivrance>
#
#  This file is part of Pyrogram.
#
#  Pyrogram 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.
#
#  Pyrogram 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 Pyrogram.  If not, see <http://www.gnu.org/licenses/>.

from io import BytesIO
from typing import TYPE_CHECKING, List, Optional, Any

from pyrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector
from pyrogram.raw.core import TLObject

if TYPE_CHECKING:
    from pyrogram import raw

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#               !!! WARNING !!!               #
#          This is a generated file!          #
# All changes made in this file will be lost! #
# # # # # # # # # # # # # # # # # # # # # # # #


class GetSuggestedStarRefBots(TLObject["raw.base.payments.SuggestedStarRefBots"]):
    """Telegram API function.

    Details:
        - Layer: ``222``
        - ID: ``D6B48F7``

    Parameters:
        peer (:obj:`InputPeer <pyrogram.raw.base.InputPeer>`):
            N/A

        offset (``str``):
            N/A

        limit (``int`` ``32-bit``):
            N/A

        order_by_revenue (``bool``, *optional*):
            N/A

        order_by_date (``bool``, *optional*):
            N/A

    Returns:
        :obj:`payments.SuggestedStarRefBots <pyrogram.raw.base.payments.SuggestedStarRefBots>`
    """

    __slots__: List[str] = ["peer", "offset", "limit", "order_by_revenue", "order_by_date"]

    ID = 0xd6b48f7
    QUALNAME = "functions.payments.GetSuggestedStarRefBots"

    def __init__(self, *, peer: "raw.base.InputPeer", offset: str, limit: int, order_by_revenue: Optional[bool] = None, order_by_date: Optional[bool] = None) -> None:
        self.peer = peer  # InputPeer
        self.offset = offset  # string
        self.limit = limit  # int
        self.order_by_revenue = order_by_revenue  # flags.0?true
        self.order_by_date = order_by_date  # flags.1?true

    @staticmethod
    def read(b: BytesIO, *args: Any) -> "GetSuggestedStarRefBots":
        
        flags = Int.read(b)
        
        order_by_revenue = True if flags & (1 << 0) else False
        order_by_date = True if flags & (1 << 1) else False
        peer = TLObject.read(b)
        
        offset = String.read(b)
        
        limit = Int.read(b)
        
        return GetSuggestedStarRefBots(peer=peer, offset=offset, limit=limit, order_by_revenue=order_by_revenue, order_by_date=order_by_date)

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

        flags = 0
        flags |= (1 << 0) if self.order_by_revenue else 0
        flags |= (1 << 1) if self.order_by_date else 0
        b.write(Int(flags))
        
        b.write(self.peer.write())
        
        b.write(String(self.offset))
        
        b.write(Int(self.limit))
        
        return b.getvalue()
