gurudesh/pytracebugs huggingface dataset:
# Buggy code
def plot(result_dict_file, show, plot_save_file):
    """
    [sys_analyser] draw result DataFrame
    """
    import pandas as pd
    from .plot import plot_result

    result_dict = pd.read_pickle(result_dict_file)
    plot_result(result_dict, show, plot_save_file)


# Traceback (TypeError)
Traceback (most recent call last):
File "c:\programdata\anaconda2\lib\runpy.py", line 174, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "c:\programdata\anaconda2\lib\runpy.py", line 72, in _run_code
exec code in run_globals
│       └ {'__builtins__': <module '__builtin__' (built-in)>, '__file__': 'C:\ProgramData\Anaconda2\Scripts\rqalpha.exe\__main__.py',...
qalpha.exe\__main__.py", line 2>> at 0256EA40, file "C:\ProgramData\Anaconda2\Scripts
File "C:\ProgramData\Anaconda2\Scripts\rqalpha.exe\__main__.py", line 9, in <module>
sys.exit(entry_point())
│        └ <function entry_point at 0x047D1CF0>
└ <module 'sys' (built-in)>
File "c:\programdata\anaconda2\lib\site-packages\rqalpha\__main__.py", line 66, in entry_point
cli(obj={})
└ <click.core.Group object at 0x047CFE90>
File "c:\programdata\anaconda2\lib\site-packages\click\core.py", line 722, in __call__
return self.main(*args, **kwargs)
│          │       └ {'obj': {'VERBOSE': 0}}
│          └ ()
└ <click.core.Group object at 0x047CFE90>
File "c:\programdata\anaconda2\lib\site-packages\click\core.py", line 697, in main
rv = self.invoke(ctx)
│           └ <click.core.Context object at 0x0482CC10>
└ <click.core.Group object at 0x047CFE90>
File "c:\programdata\anaconda2\lib\site-packages\click\core.py", line 1066, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
│               │                      └ <click.core.Context object at 0x0482CE50>
│               └ <click.core.Context object at 0x0482CE50>
└ <function _process_result at 0x0482D5B0>
File "c:\programdata\anaconda2\lib\site-packages\click\core.py", line 895, in invoke
return ctx.invoke(self.callback, **ctx.params)
│          │                └ <click.core.Context object at 0x0482CE50>
│          └ <click.core.Command object at 0x0482CF50>
└ <click.core.Context object at 0x0482CE50>
File "c:\programdata\anaconda2\lib\site-packages\click\core.py", line 535, in invoke
return callback(*args, **kwargs)
│         │       └ {'result_pickle_file_path': u'./1.pkl', 'plot_save_file': None, 'show': True}
│         └ ()
└ <function plot at 0x0482D830>
TypeError: plot() got an unexpected keyword argument 'result_pickle_file_path'

# Fixed code
def plot(result_pickle_file_path, show, plot_save_file):
    """
    [sys_analyser] draw result DataFrame
    """
    import pandas as pd
    from .plot import plot_result

    result_dict = pd.read_pickle(result_pickle_file_path)
    plot_result(result_dict, show, plot_save_file)
# Buggy code
def stream_logs(self):
    """Stream a pod's log."""
    for line in self.api.read_namespaced_pod_log(
        self.name, self.namespace, follow=True, _preload_content=False
    ):
        self.progress("log", line.decode("utf-8"))


# Traceback (FileNotFoundError)
/ # jupyter-repo2docker https://github.com/yuvipanda/example-requirements --json-logs
Traceback (most recent call last):
File "/usr/local/bin/jupyter-repo2docker", line 11, in <module>
load_entry_point('jupyter-repo2docker==0.4.1', 'console_scripts', 'jupyter-repo2docker')()
File "/usr/local/lib/python3.6/site-packages/repo2docker/__main__.py", line 6, in main
f.start()
File "/usr/local/lib/python3.6/site-packages/repo2docker/app.py", line 309, in start
checkout_path
File "/usr/local/lib/python3.6/site-packages/repo2docker/app.py", line 95, in fetch
capture=self.json_logs):
File "/usr/local/lib/python3.6/site-packages/repo2docker/utils.py", line 12, in execute_cmd
proc = subprocess.Popen(cmd, **kwargs)
File "/usr/local/lib/python3.6/subprocess.py", line 709, in __init__
restore_signals, start_new_session)
File "/usr/local/lib/python3.6/subprocess.py", line 1344, in _execute_child
raise child_exception_type(errno_num, err_msg, err_filename)
FileNotFoundError: [Errno 2] No such file or directory: 'git': 'git'

# Fixed code
def stream_logs(self):
    """Stream a pod's log."""
    for line in self.api.read_namespaced_pod_log(
        self.name, self.namespace, follow=True, _preload_content=False
    ):
        # verify that the line is JSON
        line = line.decode("utf-8")
        try:
            json.loads(line)
        except ValueError:
            # log event wasn't JSON.
            # use the line itself as the message with unknown phase.
            # We don't know what the right phase is, use 'unknown'.
            # If it was a fatal error, presumably a 'failure'
            # message will arrive shortly.
            app_log.error("log event not json: %r", line)
            line = json.dumps(
                {
                    "phase": "unknown",
                    "message": line,
                }
            )

        self.progress("log", line)
# Buggy code
def addRecentProjectFile(self, projectFile):
    projectFile = QUrl(projectFile).path()
    projects = self._recentProjectFiles()

    # remove duplicates while preserving order
    from collections import OrderedDict

    uniqueProjects = OrderedDict.fromkeys(projects)
    projects = list(uniqueProjects)
    # remove previous usage of the value
    if projectFile in uniqueProjects:
        projects.remove(projectFile)
    # add the new value in the first place
    projects.insert(0, projectFile)

    # keep only the 10 first elements
    projects = projects[0:20]

    settings = QSettings()
    settings.beginGroup("RecentFiles")
    size = settings.beginWriteArray("Projects")
    for i, p in enumerate(projects):
        settings.setArrayIndex(i)
        settings.setValue("filepath", p)
    settings.endArray()
    settings.sync()

    self.recentProjectFilesChanged.emit()


# Traceback (OSError)
[2020-05-23 16:12:48,660][ERROR] Traceback (most recent call last):
File "D:\Meshroom_Src\meshroom\meshroom\ui\reconstruction.py", line 432, in load
super(Reconstruction, self).load(filepath, setupProjectFile)
File "D:\Meshroom_Src\meshroom\meshroom\ui\graph.py", line 314, in load
g.load(filepath, setupProjectFile)
File "D:\Meshroom_Src\meshroom\meshroom\core\graph.py", line 247, in load
with open(filepath) as jsonFile:
OSError: [Errno 22] Invalid argument: '/D:/Meshroom_Dev/test-project/mostree.mg'

# Fixed code
def addRecentProjectFile(self, projectFile):
    projectFile = QUrl(projectFile).toLocalFile()
    projects = self._recentProjectFiles()

    # remove duplicates while preserving order
    from collections import OrderedDict

    uniqueProjects = OrderedDict.fromkeys(projects)
    projects = list(uniqueProjects)
    # remove previous usage of the value
    if projectFile in uniqueProjects:
        projects.remove(projectFile)
    # add the new value in the first place
    projects.insert(0, projectFile)

    # keep only the 10 first elements
    projects = projects[0:20]

    settings = QSettings()
    settings.beginGroup("RecentFiles")
    size = settings.beginWriteArray("Projects")
    for i, p in enumerate(projects):
        settings.setArrayIndex(i)
        settings.setValue("filepath", p)
    settings.endArray()
    settings.sync()

    self.recentProjectFilesChanged.emit()
# Buggy code
def addSfmAugmentation(self, withMVS=False):
    """
    Create a new augmentation step connected to the last SfM node of this Reconstruction and
    return the created CameraInit and SfM nodes.

    If the Reconstruction is not initialized (empty initial CameraInit), this method won't
    create anything and return initial CameraInit and SfM nodes.

    Args:
        withMVS (bool): whether to create the MVS pipeline after the augmentation

    Returns:
        Node, Node: CameraInit, StructureFromMotion
    """
    sfm = self.lastSfmNode()
    if not sfm:
        return None, None

    if len(self._cameraInits) == 1:
        assert self._cameraInit == self._cameraInits[0]
        # Initial CameraInit is empty, use this one
        if len(self._cameraInits[0].viewpoints) == 0:
            return self._cameraInit, sfm

    with self.groupedGraphModification("SfM Augmentation"):
        sfm, mvs = multiview.sfmAugmentation(self, self.lastSfmNode(), withMVS=withMVS)

    self.sfmAugmented.emit(sfm[0], mvs[-1])
    return sfm[0], sfm[-1]


# Traceback (RuntimeError)
Traceback (most recent call last):
File "C:\Users\andre\work\meshroom\meshroom\ui\reconstruction.py", line 72, in start
raise RuntimeError("Invalid folder provided: {}".format(folder))
RuntimeError: Invalid folder provided: /F:/ai-ml-models/images/live

# Fixed code
def addSfmAugmentation(self, withMVS=False):
    """
    Create a new augmentation step connected to the last SfM node of this Reconstruction and
    return the created CameraInit and SfM nodes.

    If the Reconstruction is not initialized (empty initial CameraInit), this method won't
    create anything and return initial CameraInit and SfM nodes.

    Args:
        withMVS (bool): whether to create the MVS pipeline after the augmentation

    Returns:
        Node, Node: CameraInit, StructureFromMotion
    """
    sfm = self.lastSfmNode()
    if not sfm:
        return None, None

    if len(self._cameraInits) == 1:
        assert self._cameraInit == self._cameraInits[0]
        # Initial CameraInit is empty, use this one
        if len(self._cameraInits[0].viewpoints) == 0:
            return self._cameraInit, sfm

    with self.groupedGraphModification("SfM Augmentation"):
        sfm, mvs = multiview.sfmAugmentation(self, self.lastSfmNode(), withMVS=withMVS)

    self.sfmAugmented.emit(sfm[0], mvs[-1] if mvs else sfm[-1])
    return sfm[0], sfm[-1]
# Buggy code
def apply(self, evaluation):
    "Exit[]"
    sys.exit()


# Traceback (NameError)
Copyright (C) 2011-2016 The Mathics Team.
This program comes with ABSOLUTELY NO WARRANTY.
This is free software, and you are welcome to redistribute it
under certain conditions.
See the documentation for the full license.

Quit by pressing CONTROL-D

In[1]:= Quit[]
Traceback (most recent call last):
File "~/Documents/Mathics/mathics/main.py", line 303, in <module>
main()
File "~/Documents/Mathics/mathics/main.py", line 286, in main
result = evaluation.evaluate(query, timeout=settings.TIMEOUT)
File "~/Documents/Mathics/mathics/core/evaluation.py", line 288, in evaluate
result = run_with_timeout_and_stack(evaluate, timeout)
File "~/Documents/Mathics/mathics/core/evaluation.py", line 95, in run_with_timeout_and_stack
return request()
File "~/Documents/Mathics/mathics/core/evaluation.py", line 265, in evaluate
result = query.evaluate(self)
File "~/Documents/Mathics/mathics/core/expression.py", line 853, in evaluate
expr, reevaluate = expr.evaluate_next(evaluation)
File "~/Documents/Mathics/mathics/core/expression.py", line 975, in evaluate_next
result = rule.apply(new, evaluation, fully=False)
File "~/Documents/Mathics/mathics/core/rules.py", line 63, in apply
yield_match, expression, {}, evaluation, fully=fully)
File "~/Documents/Mathics/mathics/core/pattern.py", line 203, in match
yield_head, expression.get_head(), vars, evaluation)
File "~/Documents/Mathics/mathics/core/pattern.py", line 132, in match
yield_func(vars, None)
File "~/Documents/Mathics/mathics/core/pattern.py", line 198, in yield_head
yield_func(head_vars, None)
File "~/Documents/Mathics/mathics/core/rules.py", line 39, in yield_match
new_expression = self.do_replace(expression, vars, options, evaluation)
File "~/Documents/Mathics/mathics/core/rules.py", line 124, in do_replace
return self.function(evaluation=evaluation, **vars_noctx)
File "~/Documents/Mathics/mathics/builtin/evaluation.py", line 465, in apply
sys.exit()
NameError: name 'sys' is not defined

# Fixed code
def apply(self, evaluation):
    "Exit"
    exit()
# Buggy code
def apply_n(self, n, evaluation):
    "Exit[n_Integer]"
    sys.exit(n.get_int_value())


# Traceback (NameError)
Copyright (C) 2011-2016 The Mathics Team.
This program comes with ABSOLUTELY NO WARRANTY.
This is free software, and you are welcome to redistribute it
under certain conditions.
See the documentation for the full license.

Quit by pressing CONTROL-D

In[1]:= Quit[]
Traceback (most recent call last):
File "~/Documents/Mathics/mathics/main.py", line 303, in <module>
main()
File "~/Documents/Mathics/mathics/main.py", line 286, in main
result = evaluation.evaluate(query, timeout=settings.TIMEOUT)
File "~/Documents/Mathics/mathics/core/evaluation.py", line 288, in evaluate
result = run_with_timeout_and_stack(evaluate, timeout)
File "~/Documents/Mathics/mathics/core/evaluation.py", line 95, in run_with_timeout_and_stack
return request()
File "~/Documents/Mathics/mathics/core/evaluation.py", line 265, in evaluate
result = query.evaluate(self)
File "~/Documents/Mathics/mathics/core/expression.py", line 853, in evaluate
expr, reevaluate = expr.evaluate_next(evaluation)
File "~/Documents/Mathics/mathics/core/expression.py", line 975, in evaluate_next
result = rule.apply(new, evaluation, fully=False)
File "~/Documents/Mathics/mathics/core/rules.py", line 63, in apply
yield_match, expression, {}, evaluation, fully=fully)
File "~/Documents/Mathics/mathics/core/pattern.py", line 203, in match
yield_head, expression.get_head(), vars, evaluation)
File "~/Documents/Mathics/mathics/core/pattern.py", line 132, in match
yield_func(vars, None)
File "~/Documents/Mathics/mathics/core/pattern.py", line 198, in yield_head
yield_func(head_vars, None)
File "~/Documents/Mathics/mathics/core/rules.py", line 39, in yield_match
new_expression = self.do_replace(expression, vars, options, evaluation)
File "~/Documents/Mathics/mathics/core/rules.py", line 124, in do_replace
return self.function(evaluation=evaluation, **vars_noctx)
File "~/Documents/Mathics/mathics/builtin/evaluation.py", line 465, in apply
sys.exit()
NameError: name 'sys' is not defined

# Fixed code
def apply_n(self, n, evaluation):
    "Exit[n_Integer]"
    exit(n.get_int_value())
# Buggy code
def _get_system_stats(self):
    with ConnectTo(StatisticDbViewer, self._config) as stats_db:
        backend_data = stats_db.get_statistic("backend")

    return {
        "backend_cpu_percentage": backend_data["system"]["cpu_percentage"],
        "number_of_running_analyses": len(backend_data["analysis"]["current_analyses"]),
    }


# Traceback (KeyError)
[2020-07-07 09:46:38,595] ERROR in app: Exception on /ajax/stats/system [GET]
Traceback (most recent call last):
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 2447, in wsgi_app
response = self.full_dispatch_request()
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 1952, in full_dispatch_request
rv = self.handle_user_exception(e)
File "/usr/local/lib/python3.8/dist-packages/flask_restful/__init__.py", line 272, in error_router
return original_handler(e)
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 1821, in handle_user_exception
reraise(exc_type, exc_value, tb)
File "/usr/local/lib/python3.8/dist-packages/flask/_compat.py", line 39, in reraise
raise value
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 1950, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.8/dist-packages/flask/app.py", line 1936, in dispatch_request
return self.view_functions[rule.endpoint](**req.view_args)
File "./web_interface/security/decorator.py", line 11, in decorated_view
return fn(*args, **kwargs)
File "./web_interface/components/ajax_routes.py", line 186, in _get_system_stats
'backend_cpu_percentage': backend_data['system']['cpu_percentage'],
KeyError: 'system'

# Fixed code
def _get_system_stats(self):
    with ConnectTo(StatisticDbViewer, self._config) as stats_db:
        backend_data = stats_db.get_statistic("backend")
    try:
        return {
            "backend_cpu_percentage": "{}%".format(
                backend_data["system"]["cpu_percentage"]
            ),
            "number_of_running_analyses": len(
                backend_data["analysis"]["current_analyses"]
            ),
        }
    except KeyError:
        return {"backend_cpu_percentage": "n/a", "number_of_running_analyses": "n/a"}
# Buggy code
def get_stats_pie(self, result, stats):
    pie_invalid, pie_off, pie_on, pie_partial = self.extract_pie_data_from_analysis(
        result
    )
    total_amount_of_files = self.calculate_total_files_for_pie(
        pie_off, pie_on, pie_partial, pie_invalid
    )
    self.append_pie_stats_to_result_dict(
        pie_invalid, pie_off, pie_on, pie_partial, stats, total_amount_of_files
    )


# Traceback (IndexError)
[2018-03-28 13:02:04][update_statistic][INFO]: Try to start Mongo Server...
[2018-03-28 13:02:04][MongoMgr][INFO]: start local mongo database
Traceback (most recent call last):
File "src/update_statistic.py", line 48, in <module>
sys.exit(main())
File "src/update_statistic.py", line 38, in main
updater.update_all_stats()
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 45, in update_all_stats
self.db.update_statistic('exploit_mitigations', self._get_exploit_mitigations_stats())
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 102, in _get_exploit_mitigations_stats
self.get_stats_pie(result, stats)
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 175, in get_stats_pie
total_amount_of_files = self.calculate_total_files_for_pie(pie_off, pie_on, pie_partial, pie_invalid)
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 194, in calculate_total_files_for_pie
total_amount_of_files = pie_on[0][1] + pie_off[0][1] + pie_partial[0][1] + pie_invalid[0][1]
IndexError: list index out of range

# Fixed code
def get_stats_pie(self, result, stats):
    pie_invalid, pie_off, pie_on, pie_partial = self.extract_pie_data_from_analysis(
        result
    )
    total_amount_of_files = self.calculate_total_files_for_pie(
        [pie_off, pie_on, pie_partial, pie_invalid]
    )
    self.append_pie_stats_to_result_dict(
        pie_invalid, pie_off, pie_on, pie_partial, stats, total_amount_of_files
    )
# Buggy code
def calculate_total_files_for_pie(pie_off, pie_on, pie_partial, pie_invalid):
    if (
        len(pie_on) > 0
        or len(pie_off) > 0
        or len(pie_partial) > 0
        or len(pie_invalid) > 0
    ):
        total_amount_of_files = (
            pie_on[0][1] + pie_off[0][1] + pie_partial[0][1] + pie_invalid[0][1]
        )
    else:
        total_amount_of_files = 0
    return total_amount_of_files


# Traceback (IndexError)
[2018-03-28 13:02:04][update_statistic][INFO]: Try to start Mongo Server...
[2018-03-28 13:02:04][MongoMgr][INFO]: start local mongo database
Traceback (most recent call last):
File "src/update_statistic.py", line 48, in <module>
sys.exit(main())
File "src/update_statistic.py", line 38, in main
updater.update_all_stats()
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 45, in update_all_stats
self.db.update_statistic('exploit_mitigations', self._get_exploit_mitigations_stats())
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 102, in _get_exploit_mitigations_stats
self.get_stats_pie(result, stats)
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 175, in get_stats_pie
total_amount_of_files = self.calculate_total_files_for_pie(pie_off, pie_on, pie_partial, pie_invalid)
File "/home/weidenba/git/FACT_core_github/src/statistic/update.py", line 194, in calculate_total_files_for_pie
total_amount_of_files = pie_on[0][1] + pie_off[0][1] + pie_partial[0][1] + pie_invalid[0][1]
IndexError: list index out of range

# Fixed code
def calculate_total_files_for_pie(pie_stats):
    total_amount_of_files = 0
    for item in pie_stats:
        with suppress(IndexError):
            total_amount_of_files += item[0][1]
    return total_amount_of_files
# Buggy code
def __init__(
    self, X, sensitive_features, y, estimator, constraints, eps, B, opt_lambda=True
):
    self.X = X
    self.constraints = constraints
    self.constraints.load_data(X, y, sensitive_features=sensitive_features)
    self.obj = self.constraints.default_objective()
    self.obj.load_data(X, y, sensitive_features=sensitive_features)
    self.pickled_estimator = pickle.dumps(estimator)
    self.eps = eps
    self.B = B
    self.opt_lambda = opt_lambda
    self.hs = pd.Series(dtype="float64")
    self.classifiers = pd.Series(dtype="float64")
    self.errors = pd.Series(dtype="float64")
    self.gammas = pd.DataFrame()
    self.lambdas = pd.DataFrame()
    self.n = self.X.shape[0]
    self.n_oracle_calls = 0
    self.oracle_execution_times = []
    self.last_linprog_n_hs = 0
    self.last_linprog_result = None


# Traceback (ValueError)
from sklearn.linear_model import LogisticRegression
LogisticRegression().fit([[1],[2],[3]], [0,0,0])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "~\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\linear_model\_logistic.py", line 1558, in fit
" class: %r" % classes_[0])
ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

# Fixed code
def __init__(
    self, X, sensitive_features, y, estimator, constraints, eps, B, opt_lambda=True
):
    self.X = X
    self.constraints = constraints
    self.constraints.load_data(X, y, sensitive_features=sensitive_features)
    self.obj = self.constraints.default_objective()
    self.obj.load_data(X, y, sensitive_features=sensitive_features)
    self.pickled_estimator = pickle.dumps(estimator)
    self.eps = eps
    self.B = B
    self.opt_lambda = opt_lambda
    self.hs = pd.Series(dtype="float64")
    self.classifiers = pd.Series(dtype="float64")
    self.errors = pd.Series(dtype="float64")
    self.gammas = pd.DataFrame()
    self.lambdas = pd.DataFrame()
    self.n = self.X.shape[0]
    self.n_oracle_calls = 0
    self.n_oracle_calls_dummy_returned = 0
    self.oracle_execution_times = []
    self.last_linprog_n_hs = 0
    self.last_linprog_result = None
# Buggy code
def _call_oracle(self, lambda_vec):
    signed_weights = self.obj.signed_weights() + self.constraints.signed_weights(
        lambda_vec
    )
    redY = 1 * (signed_weights > 0)
    redW = signed_weights.abs()
    redW = self.n * redW / redW.sum()

    classifier = pickle.loads(self.pickled_estimator)
    oracle_call_start_time = time()
    classifier.fit(self.X, redY, sample_weight=redW)
    self.oracle_execution_times.append(time() - oracle_call_start_time)
    self.n_oracle_calls += 1

    return classifier


# Traceback (ValueError)
from sklearn.linear_model import LogisticRegression
LogisticRegression().fit([[1],[2],[3]], [0,0,0])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "~\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\linear_model\_logistic.py", line 1558, in fit
" class: %r" % classes_[0])
ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

# Fixed code
def _call_oracle(self, lambda_vec):
    signed_weights = self.obj.signed_weights() + self.constraints.signed_weights(
        lambda_vec
    )
    redY = 1 * (signed_weights > 0)
    redW = signed_weights.abs()
    redW = self.n * redW / redW.sum()

    redY_unique = np.unique(redY)

    classifier = None
    if len(redY_unique) == 1:
        logger.debug("redY had single value. Using DummyClassifier")
        classifier = DummyClassifier(strategy="constant", constant=redY_unique[0])
        self.n_oracle_calls_dummy_returned += 1
    else:
        classifier = pickle.loads(self.pickled_estimator)

    oracle_call_start_time = time()
    classifier.fit(self.X, redY, sample_weight=redW)
    self.oracle_execution_times.append(time() - oracle_call_start_time)
    self.n_oracle_calls += 1

    return classifier
# Buggy code
def __init__(self, estimator, constraints, eps=0.01, T=50, nu=None, eta_mul=2.0):  # noqa: D103
    self._estimator = estimator
    self._constraints = constraints
    self._eps = eps
    self._T = T
    self._nu = nu
    self._eta_mul = eta_mul

    self._best_gap = None
    self._predictors = None
    self._weights = None
    self._last_t = None
    self._best_t = None
    self._n_oracle_calls = 0
    self._oracle_execution_times = None
    self._lambda_vecs = pd.DataFrame()
    self._lambda_vecs_LP = pd.DataFrame()
    self._lambda_vecs_lagrangian = pd.DataFrame()


# Traceback (ValueError)
from sklearn.linear_model import LogisticRegression
LogisticRegression().fit([[1],[2],[3]], [0,0,0])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "~\AppData\Local\Continuum\anaconda3\lib\site-packages\sklearn\linear_model\_logistic.py", line 1558, in fit
" class: %r" % classes_[0])
ValueError: This solver needs samples of at least 2 classes in the data, but the data contains only one class: 0

# Fixed code
def __init__(self, estimator, constraints, eps=0.01, T=50, nu=None, eta_mul=2.0):  # noqa: D103
    self._estimator = estimator
    self._constraints = constraints
    self._eps = eps
    self._T = T
    self._nu = nu
    self._eta_mul = eta_mul

    self._best_gap = None
    self._predictors = None
    self._weights = None
    self._last_t = None
    self._best_t = None
    self._n_oracle_calls = 0
    self._n_oracle_calls_dummy_returned = 0
    self._oracle_execution_times = None
    self._lambda_vecs = pd.DataFrame()
    self._lambda_vecs_LP = pd.DataFrame()
    self._lambda_vecs_lagrangian = pd.DataFrame()
# Buggy code
def _check_and_prepare_dir(self):
    """
    Checks if input data is ok.
    Creates or overwrites dataset folder.
    Returns True dataset needs to be created opposed to read.
    """
    fs, path, mode = self._fs, self._path, self.mode
    if path.startswith("s3://"):
        with open(posixpath.expanduser("~/.activeloop/store"), "rb") as f:
            stored_username = json.load(f)["_id"]
        current_username = path.split("/")[-2]
        if stored_username != current_username:
            try:
                fs.listdir(path)
            except:
                raise WrongUsernameException(stored_username)
    exist_meta = fs.exists(posixpath.join(path, "meta.json"))
    if exist_meta:
        if "w" in mode:
            fs.rm(path, recursive=True)
            fs.makedirs(path)
            return True
        return False
    else:
        if "r" in mode:
            raise HubDatasetNotFoundException(path)
        exist_dir = fs.exists(path)
        if not exist_dir:
            fs.makedirs(path)
        elif get_file_count(fs, path) > 0:
            if "w" in mode:
                raise NotHubDatasetToOverwriteException()
            else:
                raise NotHubDatasetToAppendException()
        return True


# Traceback (hub.exceptions.ShapeArgumentNotFoundException)
Traceback (most recent call last):
File "examples/load.py", line 7, in <module>
ds = hub.load(path)
File "/Users/davitb/Git/Hub/hub/__init__.py", line 54, in load
return Dataset(tag)
File "/Users/davitb/Git/Hub/hub/api/dataset.py", line 141, in __init__
raise ShapeArgumentNotFoundException()
hub.exceptions.ShapeArgumentNotFoundException: Parameter 'shape' should be provided for Dataset creation.

# Fixed code
def _check_and_prepare_dir(self):
    """
    Checks if input data is ok.
    Creates or overwrites dataset folder.
    Returns True dataset needs to be created opposed to read.
    """
    fs, path, mode = self._fs, self._path, self._mode
    if path.startswith("s3://"):
        with open(posixpath.expanduser("~/.activeloop/store"), "rb") as f:
            stored_username = json.load(f)["_id"]
        current_username = path.split("/")[-2]
        if stored_username != current_username:
            try:
                fs.listdir(path)
            except:
                raise WrongUsernameException(stored_username)
    exist_meta = fs.exists(posixpath.join(path, "meta.json"))
    if exist_meta:
        if "w" in mode:
            fs.rm(path, recursive=True)
            fs.makedirs(path)
            return True
        return False
    else:
        if "r" in mode:
            raise HubDatasetNotFoundException(path)
        exist_dir = fs.exists(path)
        if not exist_dir:
            fs.makedirs(path)
        elif get_file_count(fs, path) > 0:
            if "w" in mode:
                raise NotHubDatasetToOverwriteException()
            else:
                raise NotHubDatasetToAppendException()
        return True
# Buggy code
def resize_shape(self, size: int) -> None:
    """Resize the shape of the dataset by resizing each tensor first dimension"""
    if size == self.shape[0]:
        return

    self.shape = (int(size),)
    self.meta = self._store_meta()
    for t in self._tensors.values():
        t.resize_shape(int(size))

    self._update_dataset_state()


# Traceback (hub.exceptions.ShapeArgumentNotFoundException)
Traceback (most recent call last):
File "examples/load.py", line 7, in <module>
ds = hub.load(path)
File "/Users/davitb/Git/Hub/hub/__init__.py", line 54, in load
return Dataset(tag)
File "/Users/davitb/Git/Hub/hub/api/dataset.py", line 141, in __init__
raise ShapeArgumentNotFoundException()
hub.exceptions.ShapeArgumentNotFoundException: Parameter 'shape' should be provided for Dataset creation.

# Fixed code
def resize_shape(self, size: int) -> None:
    """Resize the shape of the dataset by resizing each tensor first dimension"""
    if size == self.shape[0]:
        return

    self._shape = (int(size),)
    self.meta = self._store_meta()
    for t in self._tensors.values():
        t.resize_shape(int(size))

    self._update_dataset_state()
# Buggy code
def __init__(self, response):
    message = f"No permision to store the dataset at {response}"
    super().__init__(message=message)


# Traceback (ValueError)
Traceback (most recent call last):
File "hub/compute/tests/test_transform.py", line 284, in <module>
test_threaded()
File "hub/compute/tests/test_transform.py", line 88, in test_threaded
create_classification_dataset(ds_init).store(
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 246, in store
ds = self.upload(results, url=url, token=token, progressbar=progressbar)
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 177, in upload
list(self.map(upload_chunk, index_batched_values))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/pathos/threading.py", line 134, in map
return _pool.map(star(f), zip(*args)) # chunksize
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 771, in get
raise self._value
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 48, in mapstar
return list(map(*args))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/pathos/helpers/mp_helper.py", line 15, in <lambda>
func = lambda args: f(*args)
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 167, in upload_chunk
ds[key, i * length + k] = el
File "/Users/davitb/Git/Hub/hub/api/dataset.py", line 316, in __setitem__
self._tensors[subpath][slice_list] = value
File "/Users/davitb/Git/Hub/hub/store/dynamic_tensor.py", line 207, in __setitem__
self._dynamic_tensor[slice_[0]]
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 571, in __getitem__
return self.get_basic_selection(selection, fields=fields)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 696, in get_basic_selection
return self._get_basic_selection_nd(selection=selection, out=out,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 739, in _get_basic_selection_nd
return self._get_selection(indexer=indexer, out=out, fields=fields)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1028, in _get_selection
self._chunk_getitem(chunk_coords, chunk_selection, out, out_selection,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1649, in _chunk_getitem
self._process_chunk(out, cdata, chunk_selection, drop_axes,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1592, in _process_chunk
chunk = self._decode_chunk(cdata)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1802, in _decode_chunk
chunk = chunk.reshape(self._chunks, order=self._order)
ValueError: cannot reshape array of size 0 into shape (50,3)

# Fixed code
def __init__(self, response):
    message = f"No permision to store the dataset at {response}"
    super(PermissionException, self).__init__(message=message)
# Buggy code
def _flatten(l):
    """
    Helper function to flatten the list
    """
    return [item for sublist in l for item in sublist]


# Traceback (ValueError)
Traceback (most recent call last):
File "hub/compute/tests/test_transform.py", line 284, in <module>
test_threaded()
File "hub/compute/tests/test_transform.py", line 88, in test_threaded
create_classification_dataset(ds_init).store(
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 246, in store
ds = self.upload(results, url=url, token=token, progressbar=progressbar)
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 177, in upload
list(self.map(upload_chunk, index_batched_values))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/pathos/threading.py", line 134, in map
return _pool.map(star(f), zip(*args)) # chunksize
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 364, in map
return self._map_async(func, iterable, mapstar, chunksize).get()
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 771, in get
raise self._value
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 125, in worker
result = (True, func(*args, **kwds))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/multiprocess/pool.py", line 48, in mapstar
return list(map(*args))
File "/Users/davitb/Library/Python/3.8/lib/python/site-packages/pathos/helpers/mp_helper.py", line 15, in <lambda>
func = lambda args: f(*args)
File "/Users/davitb/Git/Hub/hub/compute/transform.py", line 167, in upload_chunk
ds[key, i * length + k] = el
File "/Users/davitb/Git/Hub/hub/api/dataset.py", line 316, in __setitem__
self._tensors[subpath][slice_list] = value
File "/Users/davitb/Git/Hub/hub/store/dynamic_tensor.py", line 207, in __setitem__
self._dynamic_tensor[slice_[0]]
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 571, in __getitem__
return self.get_basic_selection(selection, fields=fields)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 696, in get_basic_selection
return self._get_basic_selection_nd(selection=selection, out=out,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 739, in _get_basic_selection_nd
return self._get_selection(indexer=indexer, out=out, fields=fields)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1028, in _get_selection
self._chunk_getitem(chunk_coords, chunk_selection, out, out_selection,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1649, in _chunk_getitem
self._process_chunk(out, cdata, chunk_selection, drop_axes,
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1592, in _process_chunk
chunk = self._decode_chunk(cdata)
File "/usr/local/lib/python3.8/site-packages/zarr/core.py", line 1802, in _decode_chunk
chunk = chunk.reshape(self._chunks, order=self._order)
ValueError: cannot reshape array of size 0 into shape (50,3)

# Fixed code
def _flatten(list_):
    """
    Helper function to flatten the list
    """
    return [item for sublist in list_ for item in sublist]
# Buggy code
def get_argnames(func):
    """Introspecs the arguments of a callable.

    Args:
        func: The callable to introspect

    Returns:
        A list of argument names, excluding *arg and **kwargs
        arguments.
    """

    if six.PY2:
        func_object = _get_func_if_nested(func)
        spec = _get_argspec(func_object)

        args = spec.args

    else:
        sig = inspect.signature(func)

        args = [
            param.name
            for param in sig.parameters.values()
            if param.kind
            not in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD)
        ]

    # NOTE(kgriffs): Depending on the version of Python, 'self' may or may not
    # be present, so we normalize the results by removing 'self' as needed.
    # Note that this behavior varies between 3.x versions as well as between
    # 3.x and 2.7.
    if args[0] == "self":
        args = args[1:]

    return args


# Traceback (IndexError)
(falcon-bug-repro)  falcon-bug-repro  » python main.py
Traceback (most recent call last):
File "main.py", line 19, in <module>
MyMiddleware(),
File "/Users/joshklar/.virtualenvs/falcon-bug-repro/lib/python3.6/site-packages/falcon/api.py", line 156, in __init__
middleware, independent_middleware=independent_middleware)
File "/Users/joshklar/.virtualenvs/falcon-bug-repro/lib/python3.6/site-packages/falcon/api_helpers.py", line 87, in prepare_middleware
args = util.get_argnames(process_response)
File "/Users/joshklar/.virtualenvs/falcon-bug-repro/lib/python3.6/site-packages/falcon/util/misc.py", line 317, in get_argnames
if args[0] == 'self':
IndexError: list index out of range

# Fixed code
def get_argnames(func):
    """Introspecs the arguments of a callable.

    Args:
        func: The callable to introspect

    Returns:
        A list of argument names, excluding *arg and **kwargs
        arguments.
    """

    if six.PY2:
        func_object = _get_func_if_nested(func)
        spec = _get_argspec(func_object)

        args = spec.args

    else:
        sig = inspect.signature(func)

        args = [
            param.name
            for param in sig.parameters.values()
            if param.kind
            not in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD)
        ]

    # NOTE(kgriffs): Depending on the version of Python, 'self' may or may not
    # be present, so we normalize the results by removing 'self' as needed.
    # Note that this behavior varies between 3.x versions as well as between
    # 3.x and 2.7.
    if args and args[0] == "self":
        args = args[1:]

    return args
# Buggy code
def set_header(self, name, value):
    """Set a header for this response to a given value.

    Warning:
        Calling this method overwrites the existing value, if any.

    Warning:
        For setting cookies, see instead :meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only ISO-8859-1 characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to ISO-8859-1.
    """
    name, value = self._encode_header(name, value)

    # NOTE(kgriffs): normalize name by lowercasing it
    self._headers[name.lower()] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def set_header(self, name, value):
    """Set a header for this response to a given value.

    Warning:
        Calling this method overwrites the existing value, if any.

    Warning:
        For setting cookies, see instead :meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only US-ASCII characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to US-ASCII.
    """
    if PY2:
        # NOTE(kgriffs): uwsgi fails with a TypeError if any header
        # is not a str, so do the conversion here. It's actually
        # faster to not do an isinstance check. str() will encode
        # to US-ASCII.
        name = str(name)
        value = str(value)

    # NOTE(kgriffs): normalize name by lowercasing it
    self._headers[name.lower()] = value
# Buggy code
def append_header(self, name, value):
    """Set or append a header for this response.

    Warning:
        If the header already exists, the new value will be appended
        to it, delimited by a comma. Most header specifications support
        this format, Set-Cookie being the notable exceptions.

    Warning:
        For setting cookies, see :py:meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only ISO-8859-1 characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to ISO-8859-1.

    """
    name, value = self._encode_header(name, value)

    name = name.lower()
    if name in self._headers:
        value = self._headers[name] + "," + value

    self._headers[name] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def append_header(self, name, value):
    """Set or append a header for this response.

    Warning:
        If the header already exists, the new value will be appended
        to it, delimited by a comma. Most header specifications support
        this format, Set-Cookie being the notable exceptions.

    Warning:
        For setting cookies, see :py:meth:`~.set_cookie`

    Args:
        name (str): Header name (case-insensitive). The restrictions
            noted below for the header's value also apply here.
        value (str): Value for the header. Must be of type ``str`` or
            ``StringType`` and contain only US-ASCII characters.
            Under Python 2.x, the ``unicode`` type is also accepted,
            although such strings are also limited to US-ASCII.

    """
    if PY2:
        # NOTE(kgriffs): uwsgi fails with a TypeError if any header
        # is not a str, so do the conversion here. It's actually
        # faster to not do an isinstance check. str() will encode
        # to US-ASCII.
        name = str(name)
        value = str(value)

    name = name.lower()
    if name in self._headers:
        value = self._headers[name] + "," + value

    self._headers[name] = value
# Buggy code
def set_headers(self, headers):
    """Set several headers at once.

    Warning:
        Calling this method overwrites existing values, if any.

    Args:
        headers (dict or list): A dictionary of header names and values
            to set, or a ``list`` of (*name*, *value*) tuples. Both *name*
            and *value* must be of type ``str`` or ``StringType`` and
            contain only ISO-8859-1 characters. Under Python 2.x, the
            ``unicode`` type is also accepted, although such strings are
            also limited to ISO-8859-1.

            Note:
                Falcon can process a list of tuples slightly faster
                than a dict.

    Raises:
        ValueError: `headers` was not a ``dict`` or ``list`` of ``tuple``.

    """

    if isinstance(headers, dict):
        headers = headers.items()

    # NOTE(kgriffs): We can't use dict.update because we have to
    # normalize the header names.
    _headers = self._headers
    for name, value in headers:
        name, value = self._encode_header(name, value)
        _headers[name.lower()] = value


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def set_headers(self, headers):
    """Set several headers at once.

    Warning:
        Calling this method overwrites existing values, if any.

    Args:
        headers (dict or list): A dictionary of header names and values
            to set, or a ``list`` of (*name*, *value*) tuples. Both *name*
            and *value* must be of type ``str`` or ``StringType`` and
            contain only US-ASCII characters. Under Python 2.x, the
            ``unicode`` type is also accepted, although such strings are
            also limited to US-ASCII.

            Note:
                Falcon can process a list of tuples slightly faster
                than a dict.

    Raises:
        ValueError: `headers` was not a ``dict`` or ``list`` of ``tuple``.

    """

    if isinstance(headers, dict):
        headers = headers.items()

    # NOTE(kgriffs): We can't use dict.update because we have to
    # normalize the header names.
    _headers = self._headers

    if PY2:
        for name, value in headers:
            # NOTE(kgriffs): uwsgi fails with a TypeError if any header
            # is not a str, so do the conversion here. It's actually
            # faster to not do an isinstance check. str() will encode
            # to US-ASCII.
            name = str(name)
            value = str(value)

            _headers[name.lower()] = value

    else:
        for name, value in headers:
            _headers[name.lower()] = value
# Buggy code
def header_property(name, doc, transform=None):
    """Creates a header getter/setter.

    Args:
        name: Header name, e.g., "Content-Type"
        doc: Docstring for the property
        transform: Transformation function to use when setting the
            property. The value will be passed to the function, and
            the function should return the transformed value to use
            as the value of the header (default ``None``).

    """
    normalized_name = name.lower()

    def fget(self):
        try:
            return self._headers[normalized_name]
        except KeyError:
            return None

    if transform is None:

        def fset(self, value):
            self._headers[normalized_name] = value
    else:

        def fset(self, value):
            self._headers[normalized_name] = transform(value)

    def fdel(self):
        del self._headers[normalized_name]

    return property(fget, fset, fdel, doc)


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def header_property(name, doc, transform=None):
    """Creates a header getter/setter.

    Args:
        name: Header name, e.g., "Content-Type"
        doc: Docstring for the property
        transform: Transformation function to use when setting the
            property. The value will be passed to the function, and
            the function should return the transformed value to use
            as the value of the header (default ``None``).

    """
    normalized_name = name.lower()

    def fget(self):
        try:
            return self._headers[normalized_name]
        except KeyError:
            return None

    if transform is None:
        if six.PY2:

            def fset(self, value):
                self._headers[normalized_name] = str(value)
        else:

            def fset(self, value):
                self._headers[normalized_name] = value
    else:

        def fset(self, value):
            self._headers[normalized_name] = transform(value)

    def fdel(self):
        del self._headers[normalized_name]

    return property(fget, fset, fdel, doc)
# Buggy code
def fset(self, value):
    self._headers[normalized_name] = transform(value)


# Traceback (TypeError)
Traceback (most recent call last):
File "/Users/kgriffs/Code/falcon/falcon/api.py", line 265, in __call__
start_response(resp.status, headers)
TypeError: http header value must be a string

# Fixed code
def fset(self, value):
    self._headers[normalized_name] = value