# *****************************************************************************
# Copyright (c) 2021, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#     Redistributions of source code must retain the above copyright notice,
#     this list of conditions and the following disclaimer.
#
#     Redistributions in binary form must reproduce the above copyright notice,
#     this list of conditions and the following disclaimer in the documentation
#     and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************

import pandas as pd

from numba.core import types
from numba.extending import (models, register_model, )
from numba.core.typing.templates import infer_global

from sdc.extensions.sdc_hashmap_type import ConcurrentDict, ConcurrentDictType
from sdc.datatypes.indexes import MultiIndexType


# FIXME_Numba#6781: due to overlapping of overload_methods for Numba TypeRef
# we have to use our new SdcTypeRef to type objects created from types.Type
# (i.e. ConcurrentDict meta-type). This should be removed once it's fixed.
def sdc_make_new_typeref_class():
    class SdcTypeRef(types.Dummy):
        """Reference to a type.

        Used when a type is passed as a value.
        """
        def __init__(self, instance_type):
            self.instance_type = instance_type
            super(SdcTypeRef, self).__init__('sdc_typeref[{}]'.format(self.instance_type))

    @register_model(SdcTypeRef)
    class SdcTypeRefModel(models.OpaqueModel):
        def __init__(self, dmm, fe_type):

            models.OpaqueModel.__init__(self, dmm, fe_type)

    return SdcTypeRef


ConcurrentDictTypeRef = sdc_make_new_typeref_class()
MultiIndexTypeRef = sdc_make_new_typeref_class()

infer_global(ConcurrentDict, ConcurrentDictTypeRef(ConcurrentDictType))
infer_global(pd.MultiIndex, MultiIndexTypeRef(MultiIndexType))

# *****************************************************************************
# Copyright (c) 2021, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
#     Redistributions of source code must retain the above copyright notice,
#     this list of conditions and the following disclaimer.
#
#     Redistributions in binary form must reproduce the above copyright notice,
#     this list of conditions and the following disclaimer in the documentation
#     and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************

import pandas as pd

from numba.core import types
from numba.extending import (models, register_model, )
from numba.core.typing.templates import infer_global

from sdc.extensions.sdc_hashmap_type import ConcurrentDict, ConcurrentDictType
from sdc.datatypes.indexes import MultiIndexType


# FIXME_Numba#6781: due to overlapping of overload_methods for Numba TypeRef
# we have to use our new SdcTypeRef to type objects created from types.Type
# (i.e. ConcurrentDict meta-type). This should be removed once it's fixed.
def sdc_make_new_typeref_class():
    class SdcTypeRef(types.Dummy):
        """Reference to a type.

        Used when a type is passed as a value.
        """
        def __init__(self, instance_type):
            self.instance_type = instance_type
            super(SdcTypeRef, self).__init__('sdc_typeref[{}]'.format(self.instance_type))

    @register_model(SdcTypeRef)
    class SdcTypeRefModel(models.OpaqueModel):
        def __init__(self, dmm, fe_type):

            models.OpaqueModel.__init__(self, dmm, fe_type)

    return SdcTypeRef


ConcurrentDictTypeRef = sdc_make_new_typeref_class()
MultiIndexTypeRef = sdc_make_new_typeref_class()

infer_global(ConcurrentDict, ConcurrentDictTypeRef(ConcurrentDictType))
infer_global(pd.MultiIndex, MultiIndexTypeRef(MultiIndexType))

# ***************************************************************************** # Copyright (c) 2021, Intel Corporation All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # #     Redistributions of source code must retain the above copyright notice, #     this list of conditions and the following disclaimer. # #     Redistributions in binary form must reproduce the above copyright notice, #     this list of conditions and the following disclaimer in the documentation #     and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; # OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, # WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR # OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, # EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # ***************************************************************************** # FIXME_Numba#6781: due to overlapping of overload_methods for Numba TypeRef # we have to use our new SdcTypeRef to type objects created from types.Type # (i.e. ConcurrentDict meta-type). This should be removed once it's fixed. Reference to a type.
 
         Used when a type is passed as a value.