Overload Series(StringArraySplitView).str.len()

sdc/datatypes/hpat_pandas_stringmethods_types.py

@@ -36,6 +36,7 @@
 from numba.extending import (models, overload, register_model, make_attribute_wrapper, intrinsic)
 from numba.datamodel import (register_default, StructModel)
 from numba.typing.templates import signature
+from sdc.hiframes.split_impl import SplitViewStringMethodsType, StringArraySplitViewType
 
 
 class StringMethodsType(types.IterableType):
@@ -50,7 +51,8 @@ class StringMethodsType(types.IterableType):
 
     def __init__(self, data):
         self.data = data
-        super(StringMethodsType, self).__init__('StringMethodsType')
+        name = 'StringMethodsType({})'.format(self.data)
+        super(StringMethodsType, self).__init__(name)
 
     @property
     def iterator_type(self):
@@ -74,37 +76,47 @@ def __init__(self, dmm, fe_type):
 make_attribute_wrapper(StringMethodsType, 'data', '_data')
 
 
-@intrinsic
-def _hpat_pandas_stringmethods_init(typingctx, data):
-    """
-    Internal Numba required function to register StringMethodsType and
-    connect it with corresponding Python type mentioned in @overload(pandas.core.strings.StringMethods)
-    """
+def _gen_hpat_pandas_stringmethods_init(string_methods_type=None):
+    string_methods_type = string_methods_type or StringMethodsType
 
-    def _hpat_pandas_stringmethods_init_codegen(context, builder, signature, args):
+    def _hpat_pandas_stringmethods_init(typingctx, data):
         """
-        It is looks like it creates StringMethodsModel structure
-
-        - Fixed number of parameters. Must be 4
-        - increase reference count for the data
+        Internal Numba required function to register StringMethodsType and
+        connect it with corresponding Python type mentioned in @overload(pandas.core.strings.StringMethods)
         """
 
-        [data_val] = args
-        stringmethod = cgutils.create_struct_proxy(signature.return_type)(context, builder)
-        stringmethod.data = data_val
+        def _hpat_pandas_stringmethods_init_codegen(context, builder, signature, args):
+            """
+            It is looks like it creates StringMethodsModel structure
 
-        if context.enable_nrt:
-            context.nrt.incref(builder, data, stringmethod.data)
+            - Fixed number of parameters. Must be 4
+            - increase reference count for the data
+            """
 
-        return stringmethod._getvalue()
+            [data_val] = args
+            stringmethod = cgutils.create_struct_proxy(signature.return_type)(context, builder)
+            stringmethod.data = data_val
 
-    ret_typ = StringMethodsType(data)
-    sig = signature(ret_typ, data)
-    """
-    Construct signature of the Numba SeriesGroupByType::ctor()
-    """
+            if context.enable_nrt:
+                context.nrt.incref(builder, data, stringmethod.data)
 
-    return sig, _hpat_pandas_stringmethods_init_codegen
+            return stringmethod._getvalue()
+
+        ret_typ = string_methods_type(data)
+        sig = signature(ret_typ, data)
+        """
+        Construct signature of the Numba SeriesGroupByType::ctor()
+        """
+
+        return sig, _hpat_pandas_stringmethods_init_codegen
+
+    return _hpat_pandas_stringmethods_init
+
+
+_hpat_pandas_stringmethods_init = intrinsic(
+    _gen_hpat_pandas_stringmethods_init(string_methods_type=StringMethodsType))
+_hpat_pandas_split_view_stringmethods_init = intrinsic(
+    _gen_hpat_pandas_stringmethods_init(string_methods_type=SplitViewStringMethodsType))
 
 
 @overload(pandas.core.strings.StringMethods)
@@ -113,6 +125,11 @@ def hpat_pandas_stringmethods(obj):
     Special Numba procedure to overload Python type pandas.core.strings.StringMethods::ctor()
     with Numba registered model
     """
+    if isinstance(obj.data, StringArraySplitViewType):
+        def hpat_pandas_split_view_stringmethods_impl(obj):
+            return _hpat_pandas_split_view_stringmethods_init(obj)
+
+        return hpat_pandas_split_view_stringmethods_impl
 
     def hpat_pandas_stringmethods_impl(obj):
         return _hpat_pandas_stringmethods_init(obj)

sdc/hiframes/hiframes_typed.py

@@ -65,9 +65,10 @@
 from sdc.hiframes.rolling import get_rolling_setup_args
 from sdc.hiframes.aggregate import Aggregate
 from sdc.hiframes.series_kernels import series_replace_funcs
-from sdc.hiframes.split_impl import (string_array_split_view_type,
-                                      StringArraySplitViewType, getitem_c_arr, get_array_ctypes_ptr,
-                                      get_split_view_index, get_split_view_data_ptr)
+from sdc.hiframes.split_impl import (SplitViewStringMethodsType,
+                                     string_array_split_view_type, StringArraySplitViewType,
+                                     getitem_c_arr, get_array_ctypes_ptr,
+                                     get_split_view_index, get_split_view_data_ptr)
 
 
 _dt_index_binops = ('==', '!=', '>=', '>', '<=', '<', '-',
@@ -480,7 +481,8 @@ def _run_call(self, assign, lhs, rhs):
         else:
             func_name, func_mod = fdef
 
-        if (isinstance(func_mod, ir.Var) and isinstance(self.state.typemap[func_mod.name], StringMethodsType)):
+        string_methods_types = (SplitViewStringMethodsType, StringMethodsType)
+        if isinstance(func_mod, ir.Var) and isinstance(self.state.typemap[func_mod.name], string_methods_types):
             f_def = guard(get_definition, self.state.func_ir, rhs.func)
             str_def = guard(get_definition, self.state.func_ir, f_def.value)
             if str_def is None:  # TODO: check for errors

sdc/hiframes/pd_series_ext.py

@@ -57,7 +57,9 @@
 from sdc.hiframes.pd_categorical_ext import (PDCategoricalDtype, CategoricalArray)
 from sdc.hiframes.pd_timestamp_ext import (pandas_timestamp_type, datetime_date_type)
 from sdc.hiframes.rolling import supported_rolling_funcs
-from sdc.hiframes.split_impl import (string_array_split_view_type, GetItemStringArraySplitView)
+from sdc.hiframes.split_impl import (SplitViewStringMethodsType,
+                                     string_array_split_view_type,
+                                     GetItemStringArraySplitView)
 from sdc.str_arr_ext import (
     string_array_type,
     iternext_str_array,
@@ -423,9 +425,9 @@ def resolve_T(self, ary):
 #     def resolve_index(self, ary):
 #         return ary.index
 
-    def resolve_str(self, ary):
-        assert ary.dtype in (string_type, types.List(string_type))
-        return StringMethodsType(ary)
+    # def resolve_str(self, ary):
+    #     assert ary.dtype in (string_type, types.List(string_type))
+    #     return StringMethodsType(ary)
 
     def resolve_dt(self, ary):
         assert ary.dtype == types.NPDatetime('ns')
@@ -780,9 +782,9 @@ class SeriesStrMethodAttribute(AttributeTemplate):
     def resolve_contains(self, ary, args, kws):
         return signature(SeriesType(types.bool_), *args)
 
-    @bound_function("strmethod.len")
-    def resolve_len(self, ary, args, kws):
-        return signature(SeriesType(types.int64), *args)
+    # @bound_function("strmethod.len")
+    # def resolve_len(self, ary, args, kws):
+    #     return signature(SeriesType(types.int64), *args)
 
     @bound_function("strmethod.replace")
     def resolve_replace(self, ary, args, kws):
@@ -820,6 +822,16 @@ def generic(self, args, kws):
         raise NotImplementedError('Series.str.{} is not supported yet'.format(func_name))
 
 
+@infer_getattr
+class SplitViewSeriesStrMethodAttribute(AttributeTemplate):
+    key = SplitViewStringMethodsType
+
+    @bound_function('strmethod.get')
+    def resolve_get(self, ary, args, kws):
+        # XXX only list(list(str)) supported
+        return signature(SeriesType(string_type), *args)
+
+
 class SeriesDtMethodType(types.Type):
     def __init__(self):
         name = "SeriesDtMethodType"

sdc/hiframes/split_impl.py

@@ -26,12 +26,16 @@
 
 
 import operator
+import numpy
+import pandas
 import numba
 import sdc
 from numba import types
 from numba.typing.templates import (infer_global, AbstractTemplate, infer,
                                     signature, AttributeTemplate, infer_getattr, bound_function)
 import numba.typing.typeof
+from numba.datamodel import StructModel
+from numba.errors import TypingError
 from numba.extending import (typeof_impl, type_callable, models, register_model, NativeValue,
                              make_attribute_wrapper, lower_builtin, box, unbox,
                              lower_getattr, intrinsic, overload_method, overload, overload_attribute)
@@ -131,6 +135,43 @@ def __init__(self, dmm, fe_type):
 make_attribute_wrapper(StringArraySplitViewType, 'data', '_data')
 
 
+class SplitViewStringMethodsType(types.IterableType):
+    """
+    Type definition for pandas.core.strings.StringMethods functions handling.
+
+    Members
+    ----------
+    _data: :class:`SeriesType`
+        input arg
+    """
+
+    def __init__(self, data):
+        self.data = data
+        name = 'SplitViewStringMethodsType({})'.format(self.data)
+        super(SplitViewStringMethodsType, self).__init__(name)
+
+    @property
+    def iterator_type(self):
+        return None
+
+
+@register_model(SplitViewStringMethodsType)
+class SplitViewStringMethodsTypeModel(StructModel):
+    """
+    Model for SplitViewStringMethodsType type
+    All members must be the same as main type for this model
+    """
+
+    def __init__(self, dmm, fe_type):
+        members = [
+            ('data', fe_type.data)
+        ]
+        models.StructModel.__init__(self, dmm, fe_type, members)
+
+
+make_attribute_wrapper(SplitViewStringMethodsType, 'data', '_data')
+
+
 def construct_str_arr_split_view(context, builder):
     """Creates meminfo and sets dtor.
     """
@@ -404,6 +445,44 @@ def str_arr_split_view_len_overload(arr):
         return lambda arr: arr._num_items
 
 
+@overload_method(SplitViewStringMethodsType, 'len')
+def hpat_pandas_spliview_stringmethods_len(self):
+    """
+    Pandas Series method :meth:`pandas.core.strings.StringMethods.len()` implementation.
+
+    Note: Unicode type of list elements are supported only. Numpy.NaN is not supported as elements.
+
+    .. only:: developer
+
+    Test: python -m sdc.runtests sdc.tests.test_hiframes.TestHiFrames.test_str_split_filter
+
+    Parameters
+    ----------
+    self: :class:`pandas.core.strings.StringMethods`
+        input arg
+
+    Returns
+    -------
+    :obj:`pandas.Series`
+         returns :obj:`pandas.Series` object
+    """
+
+    if not isinstance(self, SplitViewStringMethodsType):
+        msg = 'Method len(). The object must be a pandas.core.strings. Given: {}'
+        raise TypingError(msg.format(self))
+
+    def hpat_pandas_spliview_stringmethods_len_impl(self):
+        item_count = len(self._data)
+        result = numpy.empty(item_count, numba.types.int64)
+        local_data = self._data._data
+        for i in range(len(local_data)):
+            result[i] = len(local_data[i])
+
+        return pandas.Series(result, name=self._data._name)
+
+    return hpat_pandas_spliview_stringmethods_len_impl
+
+
 # @infer_global(operator.getitem)
 class GetItemStringArraySplitView(AbstractTemplate):
     key = operator.getitem

sdc/tests/test_hiframes.py

@@ -424,7 +424,6 @@ def test_impl(df):
         pd.testing.assert_series_equal(
             hpat_func(df), test_impl(df), check_names=False)
 
-    @skip_sdc_jit("Could not get length of Series(StringArraySplitView)")
     @skip_numba_jit
     def test_str_split_filter(self):
         def test_impl(df):