CI Failures

[mrocklin]

It looks like CI is now failing

https://travis-ci.org/github/dask/dask-examples/builds/716774531

Some highlights

Prophet install

", line 1, in File "/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py", line 122, in setup( File "/home/travis/miniconda/envs/test/lib/python3.8/site-packages/setuptools/__init__.py", line 163, in setup return distutils.core.setup(**attrs) File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/core.py", line 148, in setup dist.run_commands() File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/dist.py", line 966, in run_commands self.run_command(cmd) File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/home/travis/miniconda/envs/test/lib/python3.8/site-packages/wheel/bdist_wheel.py", line 223, in run self.run_command('build') File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/command/build.py", line 135, in run self.run_command(cmd_name) File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/cmd.py", line 313, in run_command self.distribution.run_command(command) File "/home/travis/miniconda/envs/test/lib/python3.8/distutils/dist.py", line 985, in run_command cmd_obj.run() File "/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py", line 48, in run build_models(target_dir) File "/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py", line 36, in build_models from fbprophet.models import StanBackendEnum File "/tmp/pip-install-n5i_pkvw/fbprophet/python/fbprophet/__init__.py", line 8, in from fbprophet.forecaster import Prophet File "/tmp/pip-install-n5i_pkvw/fbprophet/python/fbprophet/forecaster.py", line 17, in from fbprophet.make_holidays import get_holiday_names, make_holidays_df File "/tmp/pip-install-n5i_pkvw/fbprophet/python/fbprophet/make_holidays.py", line 14, in import fbprophet.hdays as hdays_part2 File "/tmp/pip-install-n5i_pkvw/fbprophet/python/fbprophet/hdays.py", line 13, in from convertdate.islamic import from_gregorian, to_gregorian ModuleNotFoundError: No module named 'convertdate' ---------------------------------------- ERROR: Failed building wheel for fbprophet Running setup.py clean for fbprophet ERROR: Command errored out with exit status 1: command: /home/travis/miniconda/envs/test/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py'"'"'; __file__='"'"'/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' clean --all cwd: /tmp/pip-install-n5i_pkvw/fbprophet Complete output (5 lines): Traceback (most recent call last): File "", line 1, in File "/tmp/pip-install-n5i_pkvw/fbprophet/python/setup.py", line 119, in with open('requirements.txt', 'r') as f: FileNotFoundError: [Errno 2] No such file or directory: 'requirements.txt' ---------------------------------------- ERROR: Failed cleaning build dir for fbprophet Building wheel for pystan (setup.py): started Building wheel for pystan (setup.py): finished with status 'error' ERROR: Command errored out with exit status 1: command: /home/travis/miniconda/envs/test/bin/python3.8 -u -c 'import sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-n5i_pkvw/pystan/setup.py'"'"'; __file__='"'"'/tmp/pip-install-n5i_pkvw/pystan/setup.py'"'"';f=getattr(tokenize, '"'"'open'"'"', open)(__file__);code=f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' bdist_wheel -d /tmp/pip-wheel-149xclu8 cwd: /tmp/pip-install-n5i_pkvw/pystan/ Complete output (1 lines): Cython>=0.22 and NumPy are required. ```

Version check issue

``` Function: execute_task args: ((, DecisionTreeClassifier(max_depth=4, min_samples_leaf=4, min_samples_split=9), (, , array([[ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., ..., 0., 0., 0.], [ 0., 1., 10., ..., 2., 0., 0.], ..., [ 0., 6., 16., ..., 11., 1., 0.], [ 0., 0., 10., ..., 8., 6., 0.], [ 0., 0., 7., ..., 0., 0., 0.]]), array([4, 4, 5, 2, 1, 5, 6, 7, 7, 7, 3, 6, 3, 2, 9, 5, 2, 8, 2, 7, 5, 7, 5, 5, 4, 8, 5, 6, 4, 2, 0, 7, 3, 5, 5, 4, 7, 4, 8, 9, 3, 1, 0, 5, 1, 9, 6, 9, 1, 0, 5, 5, 8, 3, 8, 8, 9, 1, 2, 5, 8, 9, 6, 1, 7, 9, 7, 8, 9, 8, 0, 4, 5, 3, 0, 1, 3, 7, 7, 1, 1, 8, 3, 2, 8, 9, 3, 2, 7]), True, True, 0), (, , array([[ 0., 0., 0., ..., 0., 0., 0.], [ 0., 0., 0., . kwargs: {} Exception: TypeError("'<' not supported between instances of 'Version' and 'tuple'") ```

TPot

```python-traceback nbconvert.preprocessors.execute.CellExecutionError: An error occurred while executing the following cell: ------------------ tp.fit(X_train, y_train) ------------------ --------------------------------------------------------------------------- TypeError Traceback (most recent call last) ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/base.py in fit(self, features, target, sample_weight, groups) 713 warnings.simplefilter('ignore') --> 714 self._pop, _ = eaMuPlusLambda( 715 population=self._pop, ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/gp_deap.py in eaMuPlusLambda(population, toolbox, mu, lambda_, cxpb, mutpb, ngen, pbar, stats, halloffame, verbose, per_generation_function) 225 --> 226 population[:] = toolbox.evaluate(population) 227 ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/base.py in _evaluate_individuals(self, population, features, target, sample_weight, groups) 1333 warnings.simplefilter('ignore') -> 1334 tmp_result_scores = list(dask.compute(*tmp_result_scores)) 1335 ~/miniconda/envs/test/lib/python3.8/site-packages/dask/base.py in compute(*args, **kwargs) 443 --> 444 results = schedule(dsk, keys, **kwargs) 445 return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)]) ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/client.py in get(self, dsk, keys, restrictions, loose_restrictions, resources, sync, asynchronous, direct, retries, priority, fifo_timeout, actors, **kwargs) 2687 try: -> 2688 results = self.gather(packed, asynchronous=asynchronous, direct=direct) 2689 finally: ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/client.py in gather(self, futures, errors, direct, asynchronous) 1981 local_worker = None -> 1982 return self.sync( 1983 self._gather, ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/client.py in sync(self, func, asynchronous, callback_timeout, *args, **kwargs) 831 else: --> 832 return sync( 833 self.loop, func, *args, callback_timeout=callback_timeout, **kwargs ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/utils.py in sync(loop, func, callback_timeout, *args, **kwargs) 338 typ, exc, tb = error[0] --> 339 raise exc.with_traceback(tb) 340 else: ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/utils.py in f() 322 future = asyncio.wait_for(future, callback_timeout) --> 323 result[0] = yield future 324 except Exception as exc: ~/miniconda/envs/test/lib/python3.8/site-packages/tornado/gen.py in run(self) 734 try: --> 735 value = future.result() 736 except Exception: ~/miniconda/envs/test/lib/python3.8/site-packages/distributed/client.py in _gather(self, futures, errors, direct, local_worker) 1846 else: -> 1847 raise exception.with_traceback(traceback) 1848 raise exc ~/miniconda/envs/test/lib/python3.8/site-packages/dask_ml/model_selection/methods.py in cv_extract() 165 def cv_extract(cvs, X, y, is_X, is_train, n): --> 166 return cvs.extract(X, y, n, is_X, is_train) 167 ~/miniconda/envs/test/lib/python3.8/site-packages/dask_ml/model_selection/methods.py in extract() 110 return self._extract_pairwise(X, y, n, is_train=is_train) --> 111 return self._extract(X, y, n, is_x=True, is_train=is_train) 112 if y is None: ~/miniconda/envs/test/lib/python3.8/site-packages/dask_ml/model_selection/methods.py in _extract() 130 inds = self.splits[n][0] if is_train else self.splits[n][1] --> 131 result = _safe_indexing(X if is_x else y, inds) 132 ~/miniconda/envs/test/lib/python3.8/site-packages/dask_ml/model_selection/utils.py in _safe_indexing() 219 elif hasattr(X, "shape"): --> 220 return _array_indexing(X, indices, indices_dtype, axis=axis) 221 else: ~/miniconda/envs/test/lib/python3.8/site-packages/dask_ml/model_selection/utils.py in _array_indexing() 298 """Index an array or scipy.sparse consistently across NumPy version.""" --> 299 if np_version < (1, 12) or sp.issparse(array): 300 # FIXME: Remove the check for NumPy when using >= 1.12 TypeError: '<' not supported between instances of 'Version' and 'tuple' During handling of the above exception, another exception occurred: RuntimeError Traceback (most recent call last) in ----> 1 tp.fit(X_train, y_train) ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/base.py in fit(self, features, target, sample_weight, groups) 754 # raise the exception if it's our last attempt 755 if attempt == (attempts - 1): --> 756 raise e 757 return self 758 ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/base.py in fit(self, features, target, sample_weight, groups) 745 self._pbar.close() 746 --> 747 self._update_top_pipeline() 748 self._summary_of_best_pipeline(features, target) 749 # Delete the temporary cache before exiting ~/miniconda/envs/test/lib/python3.8/site-packages/tpot/base.py in _update_top_pipeline(self) 827 # If user passes CTRL+C in initial generation, self._pareto_front (halloffame) shoule be not updated yet. 828 # need raise RuntimeError because no pipeline has been optimized --> 829 raise RuntimeError('A pipeline has not yet been optimized. Please call fit() first.') 830 831 def _summary_of_best_pipeline(self, features, target): RuntimeError: A pipeline has not yet been optimized. Please call fit() first. RuntimeError: A pipeline has not yet been optimized. Please call fit() first. ```

[TomAugspurger]

I'll take a look today or Monday.