"""Arbitrary-precision integer primitive ops.

These mostly operate on (usually) unboxed integers that use a tagged pointer
representation (CPyTagged) and correspond to the Python 'int' type.

See also the documentation for mypyc.rtypes.int_rprimitive.

Use mypyc.ir.ops.IntOp for operations on fixed-width/C integers.
"""

from typing import Dict, NamedTuple
from mypyc.ir.ops import ERR_NEVER, ERR_MAGIC, ERR_MAGIC_OVERLAPPING, ERR_ALWAYS, ComparisonOp
from mypyc.ir.rtypes import (
    int_rprimitive, bool_rprimitive, float_rprimitive, object_rprimitive,
    str_rprimitive, bit_rprimitive, int64_rprimitive, int32_rprimitive, void_rtype, RType,
    c_pyssize_t_rprimitive
)
from mypyc.primitives.registry import (
    load_address_op, unary_op, CFunctionDescription, function_op, binary_op, custom_op
)

# These int constructors produce object_rprimitives that then need to be unboxed
# I guess unboxing ourselves would save a check and branch though?

# Get the type object for 'builtins.int'.
# For ordinary calls to int() we use a load_address to the type
load_address_op(
    name='builtins.int',
    type=object_rprimitive,
    src='PyLong_Type')

# int(float). We could do a bit better directly.
function_op(
    name='builtins.int',
    arg_types=[float_rprimitive],
    return_type=object_rprimitive,
    c_function_name='CPyLong_FromFloat',
    error_kind=ERR_MAGIC)

# int(string)
function_op(
    name='builtins.int',
    arg_types=[str_rprimitive],
    return_type=object_rprimitive,
    c_function_name='CPyLong_FromStr',
    error_kind=ERR_MAGIC)

# int(string, base)
function_op(
    name='builtins.int',
    arg_types=[str_rprimitive, int_rprimitive],
    return_type=object_rprimitive,
    c_function_name='CPyLong_FromStrWithBase',
    error_kind=ERR_MAGIC)

# str(int)
int_to_str_op = function_op(
    name='builtins.str',
    arg_types=[int_rprimitive],
    return_type=str_rprimitive,
    c_function_name='CPyTagged_Str',
    error_kind=ERR_MAGIC,
    priority=2)

# We need a specialization for str on bools also since the int one is wrong...
function_op(
    name='builtins.str',
    arg_types=[bool_rprimitive],
    return_type=str_rprimitive,
    c_function_name='CPyBool_Str',
    error_kind=ERR_MAGIC,
    priority=3)


def int_binary_op(name: str, c_function_name: str,
                  return_type: RType = int_rprimitive,
                  error_kind: int = ERR_NEVER) -> None:
    binary_op(name=name,
              arg_types=[int_rprimitive, int_rprimitive],
              return_type=return_type,
              c_function_name=c_function_name,
              error_kind=error_kind)


# Binary, unary and augmented assignment operations that operate on CPyTagged ints
# are implemented as C functions.

int_binary_op('+', 'CPyTagged_Add')
int_binary_op('-', 'CPyTagged_Subtract')
int_binary_op('*', 'CPyTagged_Multiply')
int_binary_op('&', 'CPyTagged_And')
int_binary_op('|', 'CPyTagged_Or')
int_binary_op('^', 'CPyTagged_Xor')
# Divide and remainder we honestly propagate errors from because they
# can raise ZeroDivisionError
int_binary_op('//', 'CPyTagged_FloorDivide', error_kind=ERR_MAGIC)
int_binary_op('%', 'CPyTagged_Remainder', error_kind=ERR_MAGIC)
# Negative shift counts raise an exception
int_binary_op('>>', 'CPyTagged_Rshift', error_kind=ERR_MAGIC)
int_binary_op('<<', 'CPyTagged_Lshift', error_kind=ERR_MAGIC)

# This should work because assignment operators are parsed differently
# and the code in irbuild that handles it does the assignment
# regardless of whether or not the operator works in place anyway.
int_binary_op('+=', 'CPyTagged_Add')
int_binary_op('-=', 'CPyTagged_Subtract')
int_binary_op('*=', 'CPyTagged_Multiply')
int_binary_op('&=', 'CPyTagged_And')
int_binary_op('|=', 'CPyTagged_Or')
int_binary_op('^=', 'CPyTagged_Xor')
int_binary_op('//=', 'CPyTagged_FloorDivide', error_kind=ERR_MAGIC)
int_binary_op('%=', 'CPyTagged_Remainder', error_kind=ERR_MAGIC)
int_binary_op('>>=', 'CPyTagged_Rshift', error_kind=ERR_MAGIC)
int_binary_op('<<=', 'CPyTagged_Lshift', error_kind=ERR_MAGIC)


def int_unary_op(name: str, c_function_name: str) -> CFunctionDescription:
    return unary_op(name=name,
                    arg_type=int_rprimitive,
                    return_type=int_rprimitive,
                    c_function_name=c_function_name,
                    error_kind=ERR_NEVER)


int_neg_op = int_unary_op('-', 'CPyTagged_Negate')
int_invert_op = int_unary_op('~', 'CPyTagged_Invert')


# Primitives related to integer comparison operations:

# Description for building int comparison ops
#
# Fields:
#   binary_op_variant: identify which IntOp to use when operands are short integers
#   c_func_description: the C function to call when operands are tagged integers
#   c_func_negated: whether to negate the C function call's result
#   c_func_swap_operands: whether to swap lhs and rhs when call the function
IntComparisonOpDescription = NamedTuple(
    'IntComparisonOpDescription',  [('binary_op_variant', int),
                                    ('c_func_description', CFunctionDescription),
                                    ('c_func_negated', bool),
                                    ('c_func_swap_operands', bool)])


# Equals operation on two boxed tagged integers
int_equal_ = custom_op(
    arg_types=[int_rprimitive, int_rprimitive],
    return_type=bit_rprimitive,
    c_function_name='CPyTagged_IsEq_',
    error_kind=ERR_NEVER)

# Less than operation on two boxed tagged integers
int_less_than_ = custom_op(
    arg_types=[int_rprimitive, int_rprimitive],
    return_type=bit_rprimitive,
    c_function_name='CPyTagged_IsLt_',
    error_kind=ERR_NEVER)

# Provide mapping from textual op to short int's op variant and boxed int's description.
# Note that these are not complete implementations and require extra IR.
int_comparison_op_mapping: Dict[str, IntComparisonOpDescription] = {
    '==': IntComparisonOpDescription(ComparisonOp.EQ, int_equal_, False, False),
    '!=': IntComparisonOpDescription(ComparisonOp.NEQ, int_equal_, True, False),
    '<': IntComparisonOpDescription(ComparisonOp.SLT, int_less_than_, False, False),
    '<=': IntComparisonOpDescription(ComparisonOp.SLE, int_less_than_, True, True),
    '>': IntComparisonOpDescription(ComparisonOp.SGT, int_less_than_, False, True),
    '>=': IntComparisonOpDescription(ComparisonOp.SGE, int_less_than_, True, False),
}

int64_divide_op = custom_op(
    arg_types=[int64_rprimitive, int64_rprimitive],
    return_type=int64_rprimitive,
    c_function_name='CPyInt64_Divide',
    error_kind=ERR_MAGIC_OVERLAPPING)

int64_mod_op = custom_op(
    arg_types=[int64_rprimitive, int64_rprimitive],
    return_type=int64_rprimitive,
    c_function_name='CPyInt64_Remainder',
    error_kind=ERR_MAGIC_OVERLAPPING)

int32_divide_op = custom_op(
    arg_types=[int32_rprimitive, int32_rprimitive],
    return_type=int32_rprimitive,
    c_function_name='CPyInt32_Divide',
    error_kind=ERR_MAGIC_OVERLAPPING)

int32_mod_op = custom_op(
    arg_types=[int32_rprimitive, int32_rprimitive],
    return_type=int32_rprimitive,
    c_function_name='CPyInt32_Remainder',
    error_kind=ERR_MAGIC_OVERLAPPING)

# Convert tagged int (as PyObject *) to i64
int_to_int64_op = custom_op(
    arg_types=[object_rprimitive],
    return_type=int64_rprimitive,
    c_function_name='CPyLong_AsInt64',
    error_kind=ERR_MAGIC_OVERLAPPING)

ssize_t_to_int_op = custom_op(
    arg_types=[c_pyssize_t_rprimitive],
    return_type=int_rprimitive,
    c_function_name='CPyTagged_FromSsize_t',
    error_kind=ERR_MAGIC)

int64_to_int_op = custom_op(
    arg_types=[int64_rprimitive],
    return_type=int_rprimitive,
    c_function_name='CPyTagged_FromInt64',
    error_kind=ERR_MAGIC)

# Convert tagged int (as PyObject *) to i32
int_to_int32_op = custom_op(
    arg_types=[object_rprimitive],
    return_type=int32_rprimitive,
    c_function_name='CPyLong_AsInt32',
    error_kind=ERR_MAGIC_OVERLAPPING)

int32_overflow = custom_op(
    arg_types=[],
    return_type=void_rtype,
    c_function_name='CPyInt32_Overflow',
    error_kind=ERR_ALWAYS)