Exemple #1
0
        def apply(self):
            init_df_stmt = import_function(init_dataframe, self._block, self._func_ir)

            for stmt in self._calls_to_rewrite:
                args = get_call_parameters(call=stmt.value, arg_names=self._df_arg_list)

                old_data = args['data']

                args['data'], args['columns'] = self._extract_dict_args(args, self._func_ir)

                self._replace_call(stmt, init_df_stmt.target, args, self._block, self._func_ir)

                remove_unused_recursively(old_data, self._block, self._func_ir)

            return self._block
 def apply(self):
     """
     Replace call to zip in matched expressions with call to sdc_zip.
     """
     new_block = self._block.copy()
     new_block.clear()
     zip_spec_stmt = import_function(sdc_tuple_zip, new_block,
                                     self._func_ir)
     for inst in self._block.body:
         if isinstance(inst,
                       ir.Assign) and inst.value in self._calls_to_rewrite:
             expr = inst.value
             expr.func = zip_spec_stmt.target  # injects the new function
         new_block.append(inst)
     return new_block
Exemple #3
0
    def apply(self):
        for stmt in self._calls_to_rewrite:
            args = get_call_parameters(call=stmt.value,
                                       arg_names=self._df_arg_list)
            old_data = args['data']
            args['data'], args['columns'] = self._extract_dict_args(
                args, self._func_ir)

            args_len = len(args['data'])
            func_name = f'init_dataframe_{args_len}'

            # injected_module = modules[pd_dataframe_ext_module.__name__]
            init_df = getattr(pd_dataframe_ext_module, func_name, None)
            if init_df is None:
                init_df_text = gen_init_dataframe_text(func_name, args_len)
                init_df = gen_init_dataframe_func(
                    func_name, init_df_text, {
                        'numba': numba,
                        'cgutils': cgutils,
                        'signature': signature,
                        'types': types,
                        'get_structure_maps': get_structure_maps,
                        'intrinsic': intrinsic,
                        'DataFrameType': DataFrameType,
                        'ColumnLoc': ColumnLoc,
                        'string_type': string_type,
                        'intrinsic': intrinsic,
                        'fix_df_array': fix_df_array,
                        'fix_df_index': fix_df_index,
                        'init_empty_index': init_empty_index,
                        'EmptyIndexType': EmptyIndexType
                    })

                setattr(pd_dataframe_ext_module, func_name, init_df)
                init_df.__module__ = pd_dataframe_ext_module.__name__
                init_df._defn.__module__ = pd_dataframe_ext_module.__name__

            init_df_stmt = import_function(init_df, self._block, self._func_ir)
            self._replace_call(stmt, init_df_stmt.target, args, self._block,
                               self._func_ir)

            remove_unused_recursively(old_data, self._block, self._func_ir)
            self._pipeline.typingctx.refresh()

        return self._block