class_docstr: Environment of the scope
  
  Attributes:
      mode ('numpy' or 'cuda'): The rule for typecast.
      consts (dict): The dictionary with keys as the variable names and
          the values as the data that is determined at compile-time.
      params (dict): The dictionary of function arguments with keys as
          the variable names and the values as the Data.
      locals (dict): The dictionary with keys as the variable names and the
          values as the Data stored at the local scope of the function.
      ret_type (_cuda_types.TypeBase):
          The type of return value of the function.
          If it is initialized to be ``None``, the return type must be
          inferred until the end of transpilation of the function.
      generated (Generated): Generated CUDA functions.
code: def get_fresh_variable_name(
      self, prefix: str = "", suffix: str = ""
  ) -> str:
      self.count += 1
      name = f"{prefix}{self.count}{suffix}"
      if self[name] is None:
          return name
      else:
          return self.get_fresh_variable_name(prefix, suffix)
  
imports: import ast
  import collections
  import inspect
  import linecache
  import numbers
  import re
  import sys
  from typing import Any, Dict, List, Optional, Sequence, Tuple, TypeVar, Union
  import warnings
  import types
  import numpy
  from cupy_backends.cuda.api import runtime
  from cupy._core._codeblock import CodeBlock, _CodeType
  from cupy._core import _kernel
  from cupy._core._dtype import _raise_if_invalid_cast
  from cupyx import jit
  from cupyx.jit import _cuda_types
  from cupyx.jit import _cuda_typerules
  from cupyx.jit import _internal_types
  from cupyx.jit._internal_types import Data
  from cupyx.jit._internal_types import Constant
  from cupyx.jit import _builtin_funcs
  from cupyx.jit import _interface
label_desc: Use image node_id 3 for calling the Environment obj's underlying member method code with example usage: obj.get_fresh_variable_name(prefix, suffix) and returns: name, self