code: def test_groupby_raises_string(
      how, by, groupby_series, groupby_func, df_with_string_col
  ):
      df = df_with_string_col
      args = get_groupby_method_args(groupby_func, df)
      gb = df.groupby(by=by)
  
      if groupby_series:
          gb = gb["d"]
  
          if groupby_func == "corrwith":
              assert not hasattr(gb, "corrwith")
              return
  
      klass, msg = {
          "all": (None, ""),
          "any": (None, ""),
          "bfill": (None, ""),
          "corrwith": (TypeError, "Could not convert"),
          "count": (None, ""),
          "cumcount": (None, ""),
          "cummax": (
              (NotImplementedError, TypeError),
              "(function|cummax) is not (implemented|supported) for (this|object) dtype",
          ),
          "cummin": (
              (NotImplementedError, TypeError),
              "(function|cummin) is not (implemented|supported) for (this|object) dtype",
          ),
          "cumprod": (
              (NotImplementedError, TypeError),
              "(function|cumprod) is not (implemented|supported) for (this|object) dtype",
          ),
          "cumsum": (
              (NotImplementedError, TypeError),
              "(function|cumsum) is not (implemented|supported) for (this|object) dtype",
          ),
          "diff": (TypeError, "unsupported operand type"),
          "ffill": (None, ""),
          "fillna": (None, ""),
          "first": (None, ""),
          "idxmax": (None, ""),
          "idxmin": (None, ""),
          "last": (None, ""),
          "max": (None, ""),
          "mean": (
              TypeError,
              re.escape(
                  "agg function failed [how->mean,dtype->object]"
              ),
          ),
          "median": (
              TypeError,
              re.escape(
                  "agg function failed [how->median,dtype->object]"
              ),
          ),
          "min": (None, ""),
          "ngroup": (None, ""),
          "nunique": (None, ""),
          "pct_change": (TypeError, "unsupported operand type"),
          "prod": (
              TypeError,
              re.escape(
                  "agg function failed [how->prod,dtype->object]"
              ),
          ),
          "quantile": (
              TypeError,
              "cannot be performed against 'object' dtypes!",
          ),
          "rank": (None, ""),
          "sem": (ValueError, "could not convert string to float"),
          "shift": (None, ""),
          "size": (None, ""),
          "skew": (ValueError, "could not convert string to float"),
          "std": (ValueError, "could not convert string to float"),
          "sum": (None, ""),
          "var": (
              TypeError,
              re.escape("agg function failed [how->var,dtype->"),
          ),
      }[groupby_func]
  
      if groupby_func == "fillna":
          kind = "Series" if groupby_series else "DataFrame"
          warn_msg = f"{kind}GroupBy.fillna is deprecated"
      else:
          warn_msg = ""
      _call_and_check(klass, msg, how, gb, groupby_func, args, warn_msg)
  
imports: import datetime
  import re
  import numpy
  import pytest
  from pandas import Categorical, DataFrame, Grouper, Series
  import pandas._testing
  from pandas.tests.groupby import get_groupby_method_args
label_desc: Use image node_id 7 for calling a global function with example usage: test_groupby_raises_string(how, by, groupby_series, groupby_func, df_with_string_col) without return types