# Buggy code
def inner_generator(df_function="apply"):
    def inner(df, func, *args, **kwargs):
        """
        Parameters
        ----------
        df  : (DataFrame|Series)[GroupBy]
            Data (may be grouped).
        func  : function
            To be applied on the (grouped) data.
        **kwargs  : optional
            Transmitted to `df.apply()`.
        """

        # Precompute total iterations
        total = getattr(df, "ngroups", None)
        if total is None:  # not grouped
            if df_function == "applymap":
                total = df.size
            elif isinstance(df, Series):
                total = len(df)
            else:  # DataFrame or Panel
                axis = kwargs.get("axis", 0)
                # 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 t.total and t.n < t.total else 0)
            return func(*args, **kwargs)

        # Apply the provided function (in **kwargs)
        # on the df using our wrapper (which provides bar updating)
        result = getattr(df, df_function)(wrapper, **kwargs)

        # Close bar and return pandas calculation result
        t.close()
        return result

    return inner


# Traceback (RuntimeError)
[s1758208@login04(eddie) ~]$ conda create -n test
[s1758208@login04(eddie) ~]$ conda activate test
(test) [s1758208@login04(eddie) ~]$ conda install python
Solving environment: done

## Package Plan ##

environment location: /exports/csce/eddie/ph/groups/rbm_ml/michael/myconda/envs/test

added / updated specs:
- python


The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
python-3.6.4               |       hc3d631a_3        29.1 MB
libstdcxx-ng-7.2.0         |       hdf63c60_3         2.5 MB
certifi-2018.1.18          |           py36_0         144 KB
zlib-1.2.11                |       ha838bed_2         101 KB
sqlite-3.22.0              |       h1bed415_0         1.5 MB
wheel-0.30.0               |   py36hfd4bba0_1          67 KB
openssl-1.0.2n             |       hb7f436b_0         3.4 MB
libffi-3.2.1               |       hd88cf55_4          43 KB
libgcc-ng-7.2.0            |       hdf63c60_3         6.1 MB
ncurses-6.0                |       h9df7e31_2         920 KB
tk-8.6.7                   |       hc745277_3         3.2 MB
setuptools-38.5.1          |           py36_0         525 KB
pip-9.0.1                  |           py36_5         2.2 MB
libedit-3.1                |       heed3624_0         171 KB
ca-certificates-2017.08.26 |       h1d4fec5_0         263 KB
------------------------------------------------------------
Total:        50.2 MB

The following NEW packages will be INSTALLED:

ca-certificates: 2017.08.26-h1d4fec5_0
certifi:         2018.1.18-py36_0
libedit:         3.1-heed3624_0
libffi:          3.2.1-hd88cf55_4
libgcc-ng:       7.2.0-hdf63c60_3
libstdcxx-ng:    7.2.0-hdf63c60_3
ncurses:         6.0-h9df7e31_2
openssl:         1.0.2n-hb7f436b_0
pip:             9.0.1-py36_5
python:          3.6.4-hc3d631a_3
readline:        7.0-ha6073c6_4
setuptools:      38.5.1-py36_0
sqlite:          3.22.0-h1bed415_0
tk:              8.6.7-hc745277_3
wheel:           0.30.0-py36hfd4bba0_1
xz:              5.2.3-h55aa19d_2
zlib:            1.2.11-ha838bed_2

Proceed ([y]/n)? y


Downloading and Extracting Packages
python 3.6.4: ########################################################## | 100%
libstdcxx-ng 7.2.0: #################################################### | 100%
certifi 2018.1.18: ##################################################### | 100%

# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

Traceback (most recent call last):
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/exceptions.py", line 789, in __call__
return func(*args, **kwargs)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/cli/main.py", line 78, in _main
exit_code = do_call(args, p)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/cli/conda_argparse.py", line 77, in do_call
exit_code = getattr(module, func_name)(args, parser)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/cli/main_install.py", line 11, in execute
install(args, parser, 'install')
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/cli/install.py", line 255, in install
handle_txn(progressive_fetch_extract, unlink_link_transaction, prefix, args, newenv)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/cli/install.py", line 281, in handle_txn
progressive_fetch_extract.execute()
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/core/package_cache.py", line 584, in execute
exc = self._execute_actions(prec_or_spec, prec_actions)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/core/package_cache.py", line 599, in _execute_actions
progress_bar = ProgressBar(desc, not context.verbosity and not context.quiet, context.json)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/common/io.py", line 390, in __init__
self.pbar = tqdm(desc=description, bar_format=bar_format, ascii=True, total=1)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/_vendor/tqdm/_tqdm.py", line 388, in __new__
cls.monitor = TMonitor(cls, cls.monitor_interval)
File "/home/s1758208/miniconda3/lib/python3.6/site-packages/conda/_vendor/tqdm/_tqdm.py", line 83, in __init__
self.start()
File "/home/s1758208/miniconda3/lib/python3.6/threading.py", line 846, in start
_start_new_thread(self._bootstrap, ())
RuntimeError: can't start new thread

# Fixed code
def inner_generator(df_function="apply"):
    def inner(df, func, *args, **kwargs):
        """
        Parameters
        ----------
        df  : (DataFrame|Series)[GroupBy]
            Data (may be grouped).
        func  : function
            To be applied on the (grouped) data.
        *args, *kwargs  : optional
            Transmitted to `df.apply()`.
        """
        # Precompute total iterations
        total = getattr(df, "ngroups", None)
        if total is None:  # not grouped
            total = len(df) if isinstance(df, Series) else df.size // len(df)
        else:
            total += 1  # pandas calls update once too many

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

        # Define bar updating wrapper
        def wrapper(*args, **kwargs):
            t.update()
            return func(*args, **kwargs)

        # Apply the provided function (in *args and **kwargs)
        # on the df using our wrapper (which provides bar updating)
        result = getattr(df, df_function)(wrapper, *args, **kwargs)

        # Close bar and return pandas calculation result
        t.close()
        return result

    return inner