How to use the tqdm.std.TqdmDeprecationWarning function in tqdm

axis = 0
                        elif axis == 'columns':
                            axis = 1
                        # when axis=0, total is shape[axis1]
                        total = df.size // df.shape[axis]

                # Init bar
                if deprecated_t[0] is not None:
                    t = deprecated_t[0]
                    deprecated_t[0] = None
                else:
                    t = tclass(*targs, total=total, **tkwargs)

                if len(args) > 0:
                    # *args intentionally not supported (see #244, #299)
                    TqdmDeprecationWarning(
                        "Except func, normal arguments are intentionally" +
                        " not supported by" +
                        " `(DataFrame|Series|GroupBy).progress_apply`." +
                        " Use keyword arguments instead.",
                        fp_write=getattr(t.fp, 'write', sys.stderr.write))

                try:
                    func = df._is_builtin_func(func)
                except TypeError:
                    pass

                # Define bar updating wrapper
                def wrapper(*args, **kwargs):
                    # update tbar correctly
                    # it seems `pandas apply` calls `func` twice
                    # on the first column/row to decide whether it can

axis = 0
                        elif axis == 'columns':
                            axis = 1
                        # when axis=0, total is shape[axis1]
                        total = df.size // df.shape[axis]

                # Init bar
                if deprecated_t[0] is not None:
                    t = deprecated_t[0]
                    deprecated_t[0] = None
                else:
                    t = tclass(*targs, total=total, **tkwargs)

                if len(args) > 0:
                    # *args intentionally not supported (see #244, #299)
                    TqdmDeprecationWarning(
                        "Except func, normal arguments are intentionally" +
                        " not supported by" +
                        " `(DataFrame|Series|GroupBy).progress_apply`." +
                        " Use keyword arguments instead.",
                        fp_write=getattr(t.fp, 'write', sys.stderr.write))

                # Define bar updating wrapper
                def wrapper(*args, **kwargs):
                    # update tbar correctly
                    # it seems `pandas apply` calls `func` twice
                    # on the first column/row to decide whether it can
                    # take a fast or slow code path; so stop when t.total==t.n
                    t.update(n=1 if not t.total or t.n < t.total else 0)
                    return func(*args, **kwargs)

                # Apply the provided function (in **kwargs)

self.iterable = iterable
            self.disable = disable
            with self._lock:
                self.pos = self._get_free_pos(self)
                self._instances.remove(self)
            self.n = initial
            self.total = total
            return

        if kwargs:
            self.disable = True
            with self._lock:
                self.pos = self._get_free_pos(self)
                self._instances.remove(self)
            raise (
                TqdmDeprecationWarning(
                    "`nested` is deprecated and automated.\n"
                    "Use `position` instead for manual control.\n",
                    fp_write=getattr(file, 'write', sys.stderr.write))
                if "nested" in kwargs else
                TqdmKeyError("Unknown argument(s): " + str(kwargs)))

        # Preprocess the arguments
        if ((ncols is None) and (file in (sys.stderr, sys.stdout))) or \
                dynamic_ncols:  # pragma: no cover
            if dynamic_ncols:
                dynamic_ncols = _environ_cols_wrapper()
                if dynamic_ncols:
                    ncols = dynamic_ncols(file)
            else:
                _dynamic_ncols = _environ_cols_wrapper()
                if _dynamic_ncols:

yield obj
            return

        mininterval = self.mininterval
        maxinterval = self.maxinterval
        miniters = self.miniters
        dynamic_miniters = self.dynamic_miniters
        last_print_t = self.last_print_t
        last_print_n = self.last_print_n
        n = self.n
        smoothing = self.smoothing
        avg_time = self.avg_time
        time = self._time

        if not hasattr(self, 'sp'):
            raise TqdmDeprecationWarning(
                "Please use `tqdm.gui.tqdm(...)` instead of"
                " `tqdm(..., gui=True)`\n",
                fp_write=getattr(self.fp, 'write', sys.stderr.write))

        for obj in iterable:
            yield obj
            # Update and possibly print the progressbar.
            # Note: does not call self.update(1) for speed optimisation.
            n += 1
            # check counter first to avoid calls to time()
            if n - last_print_n >= self.miniters:
                miniters = self.miniters  # watch monitoring thread changes
                delta_t = time() - last_print_t
                if delta_t >= mininterval:
                    cur_t = time()
                    delta_it = n - last_print_n

# check counter first to reduce calls to time()
        if self.n - self.last_print_n >= self.miniters:
            delta_t = self._time() - self.last_print_t
            if delta_t >= self.mininterval:
                cur_t = self._time()
                delta_it = self.n - self.last_print_n  # >= n
                # elapsed = cur_t - self.start_t
                # EMA (not just overall average)
                if self.smoothing and delta_t and delta_it:
                    rate = delta_t / delta_it
                    self.avg_time = self.ema(
                        rate, self.avg_time, self.smoothing)

                if not hasattr(self, "sp"):
                    raise TqdmDeprecationWarning(
                        "Please use `tqdm.gui.tqdm(...)`"
                        " instead of `tqdm(..., gui=True)`\n",
                        fp_write=getattr(self.fp, 'write', sys.stderr.write))

                self.refresh(lock_args=self.lock_args)

                # If no `miniters` was specified, adjust automatically to the
                # maximum iteration rate seen so far between two prints.
                # e.g.: After running `tqdm.update(5)`, subsequent
                # calls to `tqdm.update()` will only cause an update after
                # at least 5 more iterations.
                if self.dynamic_miniters:
                    if self.maxinterval and delta_t >= self.maxinterval:
                        if self.mininterval:
                            self.miniters = delta_it * self.mininterval \
                                / delta_t

yield obj
            return

        mininterval = self.mininterval
        maxinterval = self.maxinterval
        miniters = self.miniters
        dynamic_miniters = self.dynamic_miniters
        last_print_t = self.last_print_t
        last_print_n = self.last_print_n
        n = self.n
        smoothing = self.smoothing
        avg_time = self.avg_time
        time = self._time

        if not hasattr(self, 'sp'):
            raise TqdmDeprecationWarning(
                "Please use `tqdm.gui.tqdm(...)` instead of"
                " `tqdm(..., gui=True)`\n",
                fp_write=getattr(self.fp, 'write', sys.stderr.write))

        for obj in iterable:
            yield obj
            # Update and possibly print the progressbar.
            # Note: does not call self.update(1) for speed optimisation.
            n += 1
            # check counter first to avoid calls to time()
            if n - last_print_n >= self.miniters:
                miniters = self.miniters  # watch monitoring thread changes
                delta_t = time() - last_print_t
                if delta_t >= mininterval:
                    cur_t = time()
                    delta_it = n - last_print_n

from .cli import *  # NOQA
from .cli import __all__  # NOQA
from .std import TqdmDeprecationWarning
from warnings import warn
warn("This function will be removed in tqdm==5.0.0\n"
     "Please use `tqdm.cli.*` instead of `tqdm._main.*`",
     TqdmDeprecationWarning, stacklevel=2)

# check counter first to reduce calls to time()
        if self.n - self.last_print_n >= self.miniters:
            delta_t = self._time() - self.last_print_t
            if delta_t >= self.mininterval:
                cur_t = self._time()
                delta_it = self.n - self.last_print_n  # >= n
                # elapsed = cur_t - self.start_t
                # EMA (not just overall average)
                if self.smoothing and delta_t and delta_it:
                    rate = delta_t / delta_it
                    self.avg_time = self.ema(
                        rate, self.avg_time, self.smoothing)

                if not hasattr(self, "sp"):
                    raise TqdmDeprecationWarning(
                        "Please use `tqdm.gui.tqdm(...)`"
                        " instead of `tqdm(..., gui=True)`\n",
                        fp_write=getattr(self.fp, 'write', sys.stderr.write))

                self.refresh(lock_args=self.lock_args)

                # If no `miniters` was specified, adjust automatically to the
                # maximum iteration rate seen so far between two prints.
                # e.g.: After running `tqdm.update(5)`, subsequent
                # calls to `tqdm.update()` will only cause an update after
                # at least 5 more iterations.
                if self.dynamic_miniters:
                    if self.maxinterval and delta_t >= self.maxinterval:
                        if self.mininterval:
                            self.miniters = delta_it * self.mininterval \
                                / delta_t

def tnrange(*args, **kwargs):  # pragma: no cover
    """
    A shortcut for `tqdm.notebook.tqdm(xrange(*args), **kwargs)`.
    On Python3+, `range` is used instead of `xrange`.
    """
    from .notebook import trange as _tnrange
    from warnings import warn
    warn("Please use `tqdm.notebook.trange` instead of `tqdm.tnrange`",
         TqdmDeprecationWarning, stacklevel=2)
    return _tnrange(*args, **kwargs)