# Buggy code
def update(self, n=1):
    """
    Manually update the progress bar, useful for streams
    such as reading files.
    E.g.:
    >>> t = tqdm(total=filesize) # Initialise
    >>> for current_buffer in stream:
    ...    ...
    ...    t.update(len(current_buffer))
    >>> t.close()
    The last line is highly recommended, but possibly not necessary if
    `t.update()` will be called in such a way that `filesize` will be
    exactly reached and printed.

    Parameters
    ----------
    n  : int
        Increment to add to the internal counter of iterations
        [default: 1].
    """
    if self.disable:
        return

    if n < 0:
        raise ValueError("n ({0}) cannot be negative".format(n))
    self.n += n

    if self.n - self.last_print_n >= self.miniters:
        # We check the counter first, to reduce the overhead of time()
        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  # should be n?
            # elapsed = cur_t - self.start_t
            # EMA (not just overall average)
            if self.smoothing and delta_t and delta_it:
                self.avg_time = (
                    delta_t / delta_it
                    if self.avg_time is None
                    else self.smoothing * delta_t / delta_it
                    + (1 - self.smoothing) * self.avg_time
                )

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

            if self.pos:
                self.moveto(self.pos)

            # Print bar's update
            self.sp(self.__repr__())

            if self.pos:
                self.moveto(-self.pos)

            # 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
                    else:
                        self.miniters = delta_it * self.maxinterval / delta_t
                elif self.smoothing:
                    self.miniters = (
                        self.smoothing
                        * delta_it
                        * (
                            self.mininterval / delta_t
                            if self.mininterval and delta_t
                            else 1
                        )
                        + (1 - self.smoothing) * self.miniters
                    )
                else:
                    self.miniters = max(self.miniters, delta_it)

            # Store old values for next call
            self.last_print_n = self.n
            self.last_print_t = cur_t


# 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 update(self, n=1):
    """
    Manually update the progress bar, useful for streams
    such as reading files.
    E.g.:
    >>> t = tqdm(total=filesize) # Initialise
    >>> for current_buffer in stream:
    ...    ...
    ...    t.update(len(current_buffer))
    >>> t.close()
    The last line is highly recommended, but possibly not necessary if
    `t.update()` will be called in such a way that `filesize` will be
    exactly reached and printed.
    Parameters
    ----------
    n  : int, optional
        Increment to add to the internal counter of iterations
        [default: 1].
    """
    # N.B.: see __iter__() for more comments.
    if self.disable:
        return

    if n < 0:
        raise ValueError("n ({0}) cannot be negative".format(n))
    self.n += 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:
                self.avg_time = (
                    delta_t / delta_it
                    if self.avg_time is None
                    else self.smoothing * delta_t / delta_it
                    + (1 - self.smoothing) * self.avg_time
                )

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

            with self._lock:
                if self.pos:
                    self.moveto(abs(self.pos))

                # Print bar update
                self.sp(self.__repr__())

                if self.pos:
                    self.moveto(-abs(self.pos))

            # 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
                    else:
                        self.miniters = delta_it * self.maxinterval / delta_t
                elif self.smoothing:
                    self.miniters = (
                        self.smoothing
                        * delta_it
                        * (
                            self.mininterval / delta_t
                            if self.mininterval and delta_t
                            else 1
                        )
                        + (1 - self.smoothing) * self.miniters
                    )
                else:
                    self.miniters = max(self.miniters, delta_it)

            # Store old values for next call
            self.last_print_n = self.n
            self.last_print_t = cur_t