Bug#1042633: statsmodels: FTBFS with Sphinx 7.1, docutils 0.20: TypeError: not all arguments converted during string formatting

Lucas Nussbaum lucas at debian.org
Sun Jul 30 19:26:56 BST 2023


Source: statsmodels
Version: 0.13.5+dfsg-7
Severity: important
Tags: ftbfs
User: python-modules-team at lists.alioth.debian.org
Usertags: sphinx7.1

Hi,

statsmodels fails to build with Sphinx 7.1 and docutils 0.20, both of which
are currently available in experimental.

Relevant part (hopefully):
> make[2]: Entering directory '/<<PKGBUILDDIR>>/docs'
> Make static directory for images
> mkdir -p build/html/_static
> # generate the examples rst files
> Generating datasets from installed statsmodels.datasets
> ../tools/dataset_rst.py
> Writing anes96.rst.
> Writing cancer.rst.
> Writing ccard.rst.
> Writing china_smoking.rst.
> Writing co2.rst.
> Writing committee.rst.
> Writing copper.rst.
> Writing cpunish.rst.
> Writing danish_data.rst.
> Writing elnino.rst.
> Writing engel.rst.
> Writing fair.rst.
> Writing fertility.rst.
> Writing grunfeld.rst.
> Writing heart.rst.
> Writing interest_inflation.rst.
> Writing longley.rst.
> Writing macrodata.rst.
> Writing modechoice.rst.
> Writing nile.rst.
> Writing randhie.rst.
> Writing scotland.rst.
> Writing spector.rst.
> Writing stackloss.rst.
> Writing star98.rst.
> Writing statecrime.rst.
> Writing strikes.rst.
> Writing sunspots.rst.
> Executing notebooks from examples/notebooks folder
> mkdir -p build/source/examples/notebooks/generated
> # Black list notebooks from doc build here
> ../tools/nbgenerate.py --parallel --report-errors --skip-existing --execute-only --execution-blacklist statespace_custom_models
> Executing /<<PKGBUILDDIR>>/examples/notebooks/mixed_lm_example.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mixed_lm_example.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_faq.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_faq.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/gls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gls.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/tsa_dates.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_dates.ipynbExecuting /<<PKGBUILDDIR>>/examples/notebooks/statespace_arma_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_arma_0.ipynb
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/interactions_anova.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/interactions_anova.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/metaanalysis1.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/metaanalysis1.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            2     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  1.91760D+00    |proj g|=  3.68860D-06
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     2      0      1      0     0     0   3.689D-06   1.918D+00
>   F =   1.9175996129577773     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  1.41373D+00    |proj g|=  9.51828D-04
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      2      5      1     0     0   4.516D-05   1.414D+00
>   F =   1.4137311050015484     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            2     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.40814D+00    |proj g|=  1.27979D-01
> 
> At iterate    5    f=  2.24982D+00    |proj g|=  9.50562D-04
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     2      7      9      1     0     0   2.952D-07   2.250D+00
>   F =   2.2498167187366036     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> Executing /<<PKGBUILDDIR>>/examples/notebooks/pca_fertility_factors.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/pca_fertility_factors.ipynb
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  1.41373D+00    |proj g|=  1.06920D-04
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      1      4      1     0     0   4.752D-05   1.414D+00
>   F =   1.4137311099487531     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            4     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  1.42683D+00    |proj g|=  2.05943D-01
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/markov_regression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_regression.ipynb
> 
> At iterate    5    f=  1.41332D+00    |proj g|=  1.60874D-03
> 
> At iterate   10    f=  1.41329D+00    |proj g|=  3.11658D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     4     11     15      1     0     0   1.796D-06   1.413D+00
>   F =   1.4132928400115972     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/interactions_anova.ipynb
> An error occurred while executing the following cell:
> ------------------
> from urllib.request import urlopen
> import numpy as np
> 
> np.set_printoptions(precision=4, suppress=True)
> 
> import pandas as pd
> 
> pd.set_option("display.width", 100)
> import matplotlib.pyplot as plt
> from statsmodels.formula.api import ols
> from statsmodels.graphics.api import interaction_plot, abline_plot
> from statsmodels.stats.anova import anova_lm
> 
> try:
>     salary_table = pd.read_csv("salary.table")
> except:  # recent pandas can read URL without urlopen
>     url = "http://stats191.stanford.edu/data/salary.table"
>     fh = urlopen(url)
>     salary_table = pd.read_table(fh)
>     salary_table.to_csv("salary.table")
> 
> E = salary_table.E
> M = salary_table.M
> X = salary_table.X
> S = salary_table.S
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> FileNotFoundError                         Traceback (most recent call last)
> Cell In[2], line 15
>      14 try:
> ---> 15     salary_table = pd.read_csv("salary.table")
>      16 except:  # recent pandas can read URL without urlopen
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
>     210         kwargs[new_arg_name] = new_arg_value
> --> 211 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
>     948 kwds.update(kwds_defaults)
> --> 950 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:856, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     854 if ioargs.encoding and "b" not in ioargs.mode:
>     855     # Encoding
> --> 856     handle = open(
>     857         handle,
>     858         ioargs.mode,
>     859         encoding=ioargs.encoding,
>     860         errors=errors,
>     861         newline="",
>     862     )
>     863 else:
>     864     # Binary mode
> 
> FileNotFoundError: [Errno 2] No such file or directory: 'salary.table'
> 
> During handling of the above exception, another exception occurred:
> 
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 18
>      16 except:  # recent pandas can read URL without urlopen
>      17     url = "http://stats191.stanford.edu/data/salary.table"
> ---> 18     fh = urlopen(url)
>      19     salary_table = pd.read_table(fh)
>      20     salary_table.to_csv("salary.table")
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1377, in HTTPHandler.http_open(self, req)
>    1376 def http_open(self, req):
> -> 1377     return self.do_open(http.client.HTTPConnection, req)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> An error occurred while executing the following cell:
> ------------------
> from urllib.request import urlopen
> import numpy as np
> 
> np.set_printoptions(precision=4, suppress=True)
> 
> import pandas as pd
> 
> pd.set_option("display.width", 100)
> import matplotlib.pyplot as plt
> from statsmodels.formula.api import ols
> from statsmodels.graphics.api import interaction_plot, abline_plot
> from statsmodels.stats.anova import anova_lm
> 
> try:
>     salary_table = pd.read_csv("salary.table")
> except:  # recent pandas can read URL without urlopen
>     url = "http://stats191.stanford.edu/data/salary.table"
>     fh = urlopen(url)
>     salary_table = pd.read_table(fh)
>     salary_table.to_csv("salary.table")
> 
> E = salary_table.E
> M = salary_table.M
> X = salary_table.X
> S = salary_table.S
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> FileNotFoundError                         Traceback (most recent call last)
> Cell In[2], line 15
>      14 try:
> ---> 15     salary_table = pd.read_csv("salary.table")
>      16 except:  # recent pandas can read URL without urlopen
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
>     210         kwargs[new_arg_name] = new_arg_value
> --> 211 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
>     948 kwds.update(kwds_defaults)
> --> 950 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:856, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     854 if ioargs.encoding and "b" not in ioargs.mode:
>     855     # Encoding
> --> 856     handle = open(
>     857         handle,
>     858         ioargs.mode,
>     859         encoding=ioargs.encoding,
>     860         errors=errors,
>     861         newline="",
>     862     )
>     863 else:
>     864     # Binary mode
> 
> FileNotFoundError: [Errno 2] No such file or directory: 'salary.table'
> 
> During handling of the above exception, another exception occurred:
> 
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 18
>      16 except:  # recent pandas can read URL without urlopen
>      17     url = "http://stats191.stanford.edu/data/salary.table"
> ---> 18     fh = urlopen(url)
>      19     salary_table = pd.read_table(fh)
>      20     salary_table.to_csv("salary.table")
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1377, in HTTPHandler.http_open(self, req)
>    1376 def http_open(self, req):
> -> 1377     return self.do_open(http.client.HTTPConnection, req)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> ******************************************************************************
> 
> 
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/interactions_anova.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_fixed_params.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_fixed_params.ipynb
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.58518D+00    |proj g|=  5.99456D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      3      5      1     0     0   3.347D-05   2.585D+00
>   F =   2.5851830060985752     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.03s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_stata.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_stata.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_forecasting.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_forecasting.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_fixed_params.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> from importlib import reload
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> import matplotlib.pyplot as plt
> 
> from pandas_datareader.data import DataReader
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 9
>       6 import statsmodels.api as sm
>       7 import matplotlib.pyplot as plt
> ----> 9 from pandas_datareader.data import DataReader
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> from importlib import reload
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> import matplotlib.pyplot as plt
> 
> from pandas_datareader.data import DataReader
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 9
>       6 import statsmodels.api as sm
>       7 import matplotlib.pyplot as plt
> ----> 9 from pandas_datareader.data import DataReader
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/gee_score_test_simulation.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gee_score_test_simulation.ipynb
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/quasibinomial.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quasibinomial.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_stata.ipynb
> An error occurred while executing the following cell:
> ------------------
> # Dataset
> wpi1 = requests.get('https://www.stata-press.com/data/r12/wpi1.dta').content
> data = pd.read_stata(BytesIO(wpi1))
> data.index = data.t
> # Set the frequency
> data.index.freq="QS-OCT"
> 
> # Fit the model
> mod = sm.tsa.statespace.SARIMAX(data['wpi'], trend='c', order=(1,1,1))
> res = mod.fit(disp=False)
> print(res.summary())
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:712, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     711 if is_new_proxy_conn and http_tunnel_required:
> --> 712     self._prepare_proxy(conn)
>     714 # Make the request on the httplib connection object.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:1010, in HTTPSConnectionPool._prepare_proxy(self, conn)
>    1008     conn.tls_in_tls_required = True
> -> 1010 conn.connect()
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:363, in HTTPSConnection.connect(self)
>     361 def connect(self):
>     362     # Add certificate verification
> --> 363     self.sock = conn = self._new_conn()
>     364     hostname = self.host
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/wpi1.dta (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 2
>       1 # Dataset
> ----> 2 wpi1 = requests.get('https://www.stata-press.com/data/r12/wpi1.dta').content
>       3 data = pd.read_stata(BytesIO(wpi1))
>       4 data.index = data.t
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/wpi1.dta (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> An error occurred while executing the following cell:
> ------------------
> # Dataset
> wpi1 = requests.get('https://www.stata-press.com/data/r12/wpi1.dta').content
> data = pd.read_stata(BytesIO(wpi1))
> data.index = data.t
> # Set the frequency
> data.index.freq="QS-OCT"
> 
> # Fit the model
> mod = sm.tsa.statespace.SARIMAX(data['wpi'], trend='c', order=(1,1,1))
> res = mod.fit(disp=False)
> print(res.summary())
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:712, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     711 if is_new_proxy_conn and http_tunnel_required:
> --> 712     self._prepare_proxy(conn)
>     714 # Make the request on the httplib connection object.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:1010, in HTTPSConnectionPool._prepare_proxy(self, conn)
>    1008     conn.tls_in_tls_required = True
> -> 1010 conn.connect()
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:363, in HTTPSConnection.connect(self)
>     361 def connect(self):
>     362     # Add certificate verification
> --> 363     self.sock = conn = self._new_conn()
>     364     hostname = self.host
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/wpi1.dta (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 2
>       1 # Dataset
> ----> 2 wpi1 = requests.get('https://www.stata-press.com/data/r12/wpi1.dta').content
>       3 data = pd.read_stata(BytesIO(wpi1))
>       4 data.index = data.t
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/wpi1.dta (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7f3128864750>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_cycles.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_cycles.ipynb
> 0.01s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.32873D+00    |proj g|=  8.23649D-03
> 
> At iterate    5    f=  2.32864D+00    |proj g|=  1.41994D-03
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      8     10      1     0     0   5.820D-06   2.329D+00
>   F =   2.3286389358138591     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.23132D+00    |proj g|=  1.09171D-02
> 
> At iterate    5    f=  2.23109D+00    |proj g|=  3.93607D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      6      8      1     0     0   7.066D-07   2.231D+00
>   F =   2.2310884444664749     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.22839D+00    |proj g|=  2.38555D-03
> 
> At iterate    5    f=  2.22838D+00    |proj g|=  9.78329D-08
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      5      8      1     0     0   9.783D-08   2.228D+00
>   F =   2.2283821699856365     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.23132D+00    |proj g|=  1.09171D-02
> 
> At iterate    5    f=  2.23109D+00    |proj g|=  3.93607D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      6      8      1     0     0   7.066D-07   2.231D+00
>   F =   2.2310884444664749     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            3     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  2.23132D+00    |proj g|=  1.09171D-02
> 
> At iterate    5    f=  2.23109D+00    |proj g|=  3.93607D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     3      6      8      1     0     0   7.066D-07   2.231D+00
>   F =   2.2310884444664749     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> Executing /<<PKGBUILDDIR>>/examples/notebooks/rolling_ls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/rolling_ls.ipynb
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            2     M =           10
>  This problem is unconstrained.
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  1.37900D-01    |proj g|=  4.66940D-01
> 
> At iterate    5    f=  1.32476D-01    |proj g|=  6.00133D-06
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     2      5     10      1     0     0   6.001D-06   1.325D-01
>   F =  0.13247641992895681     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_cycles.ipynb
> An error occurred while executing the following cell:
> ------------------
> from pandas_datareader.data import DataReader
> endog = DataReader('UNRATE', 'fred', start='1954-01-01')
> endog.index.freq = endog.index.inferred_freq
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[3], line 1
> ----> 1 from pandas_datareader.data import DataReader
>       2 endog = DataReader('UNRATE', 'fred', start='1954-01-01')
>       3 endog.index.freq = endog.index.inferred_freq
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> from pandas_datareader.data import DataReader
> endog = DataReader('UNRATE', 'fred', start='1954-01-01')
> endog.index.freq = endog.index.inferred_freq
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[3], line 1
> ----> 1 from pandas_datareader.data import DataReader
>       2 endog = DataReader('UNRATE', 'fred', start='1954-01-01')
>       3 endog.index.freq = endog.index.inferred_freq
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/plots_boxplots.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/plots_boxplots.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/contrasts.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/contrasts.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.06s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/kernel_density.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/kernel_density.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/rolling_ls.ipynb
> An error occurred while executing the following cell:
> ------------------
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn
> 
> import statsmodels.api as sm
> from statsmodels.regression.rolling import RollingOLS
> 
> seaborn.set_style("darkgrid")
> pd.plotting.register_matplotlib_converters()
> %matplotlib inline
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import numpy as np
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn
>       7 import statsmodels.api as sm
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn
> 
> import statsmodels.api as sm
> from statsmodels.regression.rolling import RollingOLS
> 
> seaborn.set_style("darkgrid")
> pd.plotting.register_matplotlib_converters()
> %matplotlib inline
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import numpy as np
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn
>       7 import statsmodels.api as sm
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/chi2_fitting.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/chi2_fitting.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_internet.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_internet.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/contrasts.ipynb
> An error occurred while executing the following cell:
> ------------------
> import pandas as pd
> 
> url = "https://stats.idre.ucla.edu/stat/data/hsb2.csv"
> hsb2 = pd.read_table(url, delimiter=",")
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 4
>       1 import pandas as pd
>       3 url = "https://stats.idre.ucla.edu/stat/data/hsb2.csv"
> ----> 4 hsb2 = pd.read_table(url, delimiter=",")
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
>     209     else:
>     210         kwargs[new_arg_name] = new_arg_value
> --> 211 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1289, in read_table(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
>    1274 kwds_defaults = _refine_defaults_read(
>    1275     dialect,
>    1276     delimiter,
>    (...)
>    1285     defaults={"delimiter": "\t"},
>    1286 )
>    1287 kwds.update(kwds_defaults)
> -> 1289 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     602 _validate_names(kwds.get("names", None))
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
>     608     return parser
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1439     self.options["has_index_names"] = kwds["has_index_names"]
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1733     if "b" not in mode:
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
>    1746 f = self.handles.handle
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> An error occurred while executing the following cell:
> ------------------
> import pandas as pd
> 
> url = "https://stats.idre.ucla.edu/stat/data/hsb2.csv"
> hsb2 = pd.read_table(url, delimiter=",")
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 4
>       1 import pandas as pd
>       3 url = "https://stats.idre.ucla.edu/stat/data/hsb2.csv"
> ----> 4 hsb2 = pd.read_table(url, delimiter=",")
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
>     209     else:
>     210         kwargs[new_arg_name] = new_arg_value
> --> 211 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1289, in read_table(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
>    1274 kwds_defaults = _refine_defaults_read(
>    1275     dialect,
>    1276     delimiter,
>    (...)
>    1285     defaults={"delimiter": "\t"},
>    1286 )
>    1287 kwds.update(kwds_defaults)
> -> 1289 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     602 _validate_names(kwds.get("names", None))
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
>     608     return parser
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1439     self.options["has_index_names"] = kwds["has_index_names"]
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1733     if "b" not in mode:
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
>    1746 f = self.handles.handle
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/tsa_arma_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_0.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/robust_models_0.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_0.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_internet.ipynb
> An error occurred while executing the following cell:
> ------------------
> import requests
> from io import BytesIO
> from zipfile import ZipFile
> 
> # Download the dataset
> dk = requests.get('http://www.ssfpack.com/files/DK-data.zip').content
> f = BytesIO(dk)
> zipped = ZipFile(f)
> df = pd.read_table(
>     BytesIO(zipped.read('internet.dat')),
>     skiprows=1, header=None, sep='\s+', engine='python',
>     names=['internet','dinternet']
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:715, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     714 # Make the request on the httplib connection object.
> --> 715 httplib_response = self._make_request(
>     716     conn,
>     717     method,
>     718     url,
>     719     timeout=timeout_obj,
>     720     body=body,
>     721     headers=headers,
>     722     chunked=chunked,
>     723 )
>     725 # If we're going to release the connection in ``finally:``, then
>     726 # the response doesn't need to know about the connection. Otherwise
>     727 # it will also try to release it and we'll have a double-release
>     728 # mess.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:416, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
>     415     else:
> --> 416         conn.request(method, url, **httplib_request_kw)
>     418 # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
>     419 # legitimately able to close the connection after sending a valid response.
>     420 # With this behaviour, the received response is still readable.
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:244, in HTTPConnection.request(self, method, url, body, headers)
>     243     headers["User-Agent"] = _get_default_user_agent()
> --> 244 super(HTTPConnection, self).request(method, url, body=body, headers=headers)
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in HTTPConnection.connect(self)
>     204 def connect(self):
> --> 205     conn = self._new_conn()
>     206     self._prepare_conn(conn)
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://www.ssfpack.com/files/DK-data.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 6
>       3 from zipfile import ZipFile
>       5 # Download the dataset
> ----> 6 dk = requests.get('http://www.ssfpack.com/files/DK-data.zip').content
>       7 f = BytesIO(dk)
>       8 zipped = ZipFile(f)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://www.ssfpack.com/files/DK-data.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> An error occurred while executing the following cell:
> ------------------
> import requests
> from io import BytesIO
> from zipfile import ZipFile
> 
> # Download the dataset
> dk = requests.get('http://www.ssfpack.com/files/DK-data.zip').content
> f = BytesIO(dk)
> zipped = ZipFile(f)
> df = pd.read_table(
>     BytesIO(zipped.read('internet.dat')),
>     skiprows=1, header=None, sep='\s+', engine='python',
>     names=['internet','dinternet']
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:715, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     714 # Make the request on the httplib connection object.
> --> 715 httplib_response = self._make_request(
>     716     conn,
>     717     method,
>     718     url,
>     719     timeout=timeout_obj,
>     720     body=body,
>     721     headers=headers,
>     722     chunked=chunked,
>     723 )
>     725 # If we're going to release the connection in ``finally:``, then
>     726 # the response doesn't need to know about the connection. Otherwise
>     727 # it will also try to release it and we'll have a double-release
>     728 # mess.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:416, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
>     415     else:
> --> 416         conn.request(method, url, **httplib_request_kw)
>     418 # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
>     419 # legitimately able to close the connection after sending a valid response.
>     420 # With this behaviour, the received response is still readable.
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:244, in HTTPConnection.request(self, method, url, body, headers)
>     243     headers["User-Agent"] = _get_default_user_agent()
> --> 244 super(HTTPConnection, self).request(method, url, body=body, headers=headers)
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in HTTPConnection.connect(self)
>     204 def connect(self):
> --> 205     conn = self._new_conn()
>     206     self._prepare_conn(conn)
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://www.ssfpack.com/files/DK-data.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 6
>       3 from zipfile import ZipFile
>       5 # Download the dataset
> ----> 6 dk = requests.get('http://www.ssfpack.com/files/DK-data.zip').content
>       7 f = BytesIO(dk)
>       8 zipped = ZipFile(f)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://www.ssfpack.com/files/DK-data.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7f2807206cd0>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/discrete_choice_example.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_example.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_seasonal.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_seasonal.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/recursive_ls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/recursive_ls.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/ols.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ols.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/theta-model.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/theta-model.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/recursive_ls.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> from pandas_datareader.data import DataReader
> 
> np.set_printoptions(suppress=True)
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 6
>       4 import pandas as pd
>       5 import statsmodels.api as sm
> ----> 6 from pandas_datareader.data import DataReader
>       8 np.set_printoptions(suppress=True)
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> from pandas_datareader.data import DataReader
> 
> np.set_printoptions(suppress=True)
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 6
>       4 import pandas as pd
>       5 import statsmodels.api as sm
> ----> 6 from pandas_datareader.data import DataReader
>       8 np.set_printoptions(suppress=True)
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/predict.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/predict.ipynb
> 0.03s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/robust_models_1.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_1.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/theta-model.ipynb
> An error occurred while executing the following cell:
> ------------------
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn as sns
> 
> plt.rc("figure", figsize=(16, 8))
> plt.rc("font", size=15)
> plt.rc("lines", linewidth=3)
> sns.set_style("darkgrid")
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import numpy as np
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn as sns
>       7 plt.rc("figure", figsize=(16, 8))
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn as sns
> 
> plt.rc("figure", figsize=(16, 8))
> plt.rc("font", size=15)
> plt.rc("lines", linewidth=3)
> sns.set_style("darkgrid")
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import numpy as np
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn as sns
>       7 plt.rc("figure", figsize=(16, 8))
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/markov_autoregression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_autoregression.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/glm.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/autoregressions.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/autoregressions.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mixed_lm_example.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_dates.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_pymc3.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/markov_autoregression.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> from datetime import datetime
> from io import BytesIO
> 
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import requests
> import statsmodels.api as sm
> 
> # NBER recessions
> from pandas_datareader.data import DataReader
> 
> usrec = DataReader(
>     "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1)
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 13
>      10 import statsmodels.api as sm
>      12 # NBER recessions
> ---> 13 from pandas_datareader.data import DataReader
>      15 usrec = DataReader(
>      16     "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1)
>      17 )
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> from datetime import datetime
> from io import BytesIO
> 
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import requests
> import statsmodels.api as sm
> 
> # NBER recessions
> from pandas_datareader.data import DataReader
> 
> usrec = DataReader(
>     "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1)
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 13
>      10 import statsmodels.api as sm
>      12 # NBER recessions
> ---> 13 from pandas_datareader.data import DataReader
>      15 usrec = DataReader(
>      16     "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1)
>      17 )
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/tsa_arma_1.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_1.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/autoregressions.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn as sns
> from statsmodels.tsa.api import acf, graphics, pacf
> from statsmodels.tsa.ar_model import AutoReg, ar_select_order
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import matplotlib.pyplot as plt
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn as sns
>       6 from statsmodels.tsa.api import acf, graphics, pacf
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import pandas as pd
> import pandas_datareader as pdr
> import seaborn as sns
> from statsmodels.tsa.api import acf, graphics, pacf
> from statsmodels.tsa.ar_model import AutoReg, ar_select_order
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 4
>       2 import matplotlib.pyplot as plt
>       3 import pandas as pd
> ----> 4 import pandas_datareader as pdr
>       5 import seaborn as sns
>       6 from statsmodels.tsa.api import acf, graphics, pacf
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/lowess.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/lowess.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_sarimax_pymc3.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pymc3 as pm
> import statsmodels.api as sm
> import theano
> import theano.tensor as tt
> from pandas.plotting import register_matplotlib_converters
> from pandas_datareader.data import DataReader
> 
> plt.style.use("seaborn")
> register_matplotlib_converters()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 5
>       3 import numpy as np
>       4 import pandas as pd
> ----> 5 import pymc3 as pm
>       6 import statsmodels.api as sm
>       7 import theano
> 
> ModuleNotFoundError: No module named 'pymc3'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> import matplotlib.pyplot as plt
> import numpy as np
> import pandas as pd
> import pymc3 as pm
> import statsmodels.api as sm
> import theano
> import theano.tensor as tt
> from pandas.plotting import register_matplotlib_converters
> from pandas_datareader.data import DataReader
> 
> plt.style.use("seaborn")
> register_matplotlib_converters()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 5
>       3 import numpy as np
>       4 import pandas as pd
> ----> 5 import pymc3 as pm
>       6 import statsmodels.api as sm
>       7 import theano
> 
> ModuleNotFoundError: No module named 'pymc3'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/exponential_smoothing.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/exponential_smoothing.ipynb
> 0.01s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/regression_diagnostics.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_diagnostics.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/copula.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/copula.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/ets.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ets.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_news.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_news.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            2     M =           10
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  6.27365D+00    |proj g|=  8.99900D-01
> 
> At iterate    1    f=  5.31675D+00    |proj g|=  6.49791D-04
> 
> At iterate    2    f=  5.30939D+00    |proj g|=  5.55467D-04
> 
> At iterate    3    f=  5.29115D+00    |proj g|=  5.92415D-05
> 
> At iterate    4    f=  5.29096D+00    |proj g|=  1.86518D-06
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     2      4     13      5     0     1   1.865D-06   5.291D+00
>   F =   5.2909564616060694     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            1     M =           10
> 
> At X0         0 variables are exactly at the bounds
> 
> At iterate    0    f=  6.27365D+00    |proj g|=  8.99900D-01
> 
> At iterate    1    f=  5.31675D+00    |proj g|=  0.00000D+00
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     1      1      2      1     0     1   0.000D+00   5.317D+00
>   F =   5.3167544390512402     
> 
> CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
> RUNNING THE L-BFGS-B CODE
> 
>            * * *
> 
> Machine precision = 2.220D-16
>  N =            9     M =           10
> 
> At X0         1 variables are exactly at the bounds
> 
> At iterate    0    f=  3.40132D+00    |proj g|=  9.88789D-01
> 
> At iterate    1    f=  2.58255D+00    |proj g|=  9.99244D-01
> 
> At iterate    2    f=  2.49918D+00    |proj g|=  2.90033D-01
> 
> At iterate    3    f=  2.48198D+00    |proj g|=  2.44942D-01
> 
> At iterate    4    f=  2.43118D+00    |proj g|=  7.29710D-02
> 
> At iterate    5    f=  2.42924D+00    |proj g|=  7.03570D-02
> 
> At iterate    6    f=  2.42851D+00    |proj g|=  4.66399D-02
> 
> At iterate    7    f=  2.42794D+00    |proj g|=  2.92426D-02
> 
> At iterate    8    f=  2.42784D+00    |proj g|=  2.53310D-02
> 
> At iterate    9    f=  2.42721D+00    |proj g|=  1.89560D-02
> 
> At iterate   10    f=  2.42622D+00    |proj g|=  3.18595D-02
> 
> At iterate   11    f=  2.42512D+00    |proj g|=  3.53012D-02
> 
> At iterate   12    f=  2.42383D+00    |proj g|=  3.65611D-02
> 
> At iterate   13    f=  2.42196D+00    |proj g|=  4.83523D-02
> 
> At iterate   14    f=  2.41828D+00    |proj g|=  5.99600D-02
> 
> At iterate   15    f=  2.41131D+00    |proj g|=  6.89729D-02
> 
> At iterate   16    f=  2.40200D+00    |proj g|=  7.65553D-02
> 
> At iterate   17    f=  2.39384D+00    |proj g|=  8.77326D-02
> 
> At iterate   18    f=  2.37916D+00    |proj g|=  1.52278D-01
> 
> At iterate   19    f=  2.35437D+00    |proj g|=  2.40352D-01
> 
> At iterate   20    f=  2.33831D+00    |proj g|=  2.53094D-01
> 
> At iterate   21    f=  2.33773D+00    |proj g|=  2.54852D-01
> 
> At iterate   22    f=  2.33765D+00    |proj g|=  2.49937D-01
> 
> At iterate   23    f=  2.33765D+00    |proj g|=  2.50048D-01
>   Positive dir derivative in projection 
>   Using the backtracking step 
> 
> At iterate   24    f=  2.32725D+00    |proj g|=  2.22937D-01
> 
> At iterate   25    f=  2.29782D+00    |proj g|=  1.16898D-01
> 
> At iterate   26    f=  2.29782D+00    |proj g|=  1.19752D-01
> 
> At iterate   27    f=  2.29781D+00    |proj g|=  1.21902D-01
> 
> At iterate   28    f=  2.29780D+00    |proj g|=  1.25724D-01
> 
> At iterate   29    f=  2.29105D+00    |proj g|=  8.30218D-02
> 
> At iterate   30    f=  2.27638D+00    |proj g|=  2.10653D-01
> 
> At iterate   31    f=  2.27483D+00    |proj g|=  1.10920D-01
> 
> At iterate   32    f=  2.27311D+00    |proj g|=  6.92924D-02
> 
> At iterate   33    f=  2.27185D+00    |proj g|=  1.95031D-02
> 
> At iterate   34    f=  2.27169D+00    |proj g|=  1.29887D-02
> 
> At iterate   35    f=  2.27150D+00    |proj g|=  4.13487D-03
> 
> At iterate   36    f=  2.27139D+00    |proj g|=  6.64944D-03
> 
> At iterate   37    f=  2.27076D+00    |proj g|=  2.69553D-02
> 
> At iterate   38    f=  2.26972D+00    |proj g|=  4.56665D-02
> 
> At iterate   39    f=  2.26741D+00    |proj g|=  6.40877D-02
> 
> At iterate   40    f=  2.26472D+00    |proj g|=  5.54448D-02
> 
> At iterate   41    f=  2.26177D+00    |proj g|=  4.61724D-02
> 
> At iterate   42    f=  2.25804D+00    |proj g|=  5.99869D-02
> 
> At iterate   43    f=  2.25536D+00    |proj g|=  4.25881D-02
> 
> At iterate   44    f=  2.25078D+00    |proj g|=  4.89846D-02
> 
> At iterate   45    f=  2.24893D+00    |proj g|=  4.90307D-02
> 
> At iterate   46    f=  2.24636D+00    |proj g|=  3.04142D-02
> 
> At iterate   47    f=  2.24552D+00    |proj g|=  5.58416D-03
> 
> At iterate   48    f=  2.24549D+00    |proj g|=  8.50173D-03
> 
> At iterate   49    f=  2.24546D+00    |proj g|=  3.01128D-03
> 
> At iterate   50    f=  2.24545D+00    |proj g|=  2.55418D-03
> 
> At iterate   51    f=  2.24543D+00    |proj g|=  7.25571D-03
> 
> At iterate   52    f=  2.24539D+00    |proj g|=  1.16336D-02
> 
> At iterate   53    f=  2.24534D+00    |proj g|=  8.72857D-03
> 
> At iterate   54    f=  2.24530D+00    |proj g|=  3.67657D-03
> 
> At iterate   55    f=  2.24529D+00    |proj g|=  4.14073D-03
> 
> At iterate   56    f=  2.24528D+00    |proj g|=  7.40203D-03
> 
> At iterate   57    f=  2.24526D+00    |proj g|=  1.19218D-02
> 
> At iterate   58    f=  2.24521D+00    |proj g|=  1.72266D-02
> 
> At iterate   59    f=  2.24512D+00    |proj g|=  2.04797D-02
> 
> At iterate   60    f=  2.24499D+00    |proj g|=  1.76520D-02
> 
> At iterate   61    f=  2.24483D+00    |proj g|=  9.93743D-03
> 
> At iterate   62    f=  2.24475D+00    |proj g|=  2.34404D-03
> 
> At iterate   63    f=  2.24474D+00    |proj g|=  4.87237D-03
> 
> At iterate   64    f=  2.24473D+00    |proj g|=  4.74492D-03
> 
> At iterate   65    f=  2.24471D+00    |proj g|=  4.33542D-03
> 
> At iterate   66    f=  2.24470D+00    |proj g|=  3.99876D-03
> 
> At iterate   67    f=  2.24468D+00    |proj g|=  3.00813D-03
> 
> At iterate   68    f=  2.24465D+00    |proj g|=  2.51146D-03
> 
> At iterate   69    f=  2.24461D+00    |proj g|=  6.65796D-03
> 
> At iterate   70    f=  2.24457D+00    |proj g|=  4.96239D-03
> 
> At iterate   71    f=  2.24453D+00    |proj g|=  2.22631D-03
> 
> At iterate   72    f=  2.24452D+00    |proj g|=  1.37552D-03
> 
> At iterate   73    f=  2.24451D+00    |proj g|=  4.64695D-04
> 
> At iterate   74    f=  2.24451D+00    |proj g|=  7.12319D-05
> 
> At iterate   75    f=  2.24451D+00    |proj g|=  4.87610D-05
> 
> At iterate   76    f=  2.24451D+00    |proj g|=  4.69402D-05
> 
> At iterate   77    f=  2.24451D+00    |proj g|=  2.10143D-04
> 
> At iterate   78    f=  2.24451D+00    |proj g|=  1.67377D-04
> 
> At iterate   79    f=  2.24451D+00    |proj g|=  2.89768D-04
> 
> At iterate   80    f=  2.24451D+00    |proj g|=  1.10134D-04
> 
> At iterate   81    f=  2.24451D+00    |proj g|=  9.49019D-05
> 
> At iterate   82    f=  2.24451D+00    |proj g|=  6.23501D-05
> 
> At iterate   83    f=  2.24451D+00    |proj g|=  1.00009D-04
> 
> At iterate   84    f=  2.24451D+00    |proj g|=  3.35731D-05
> 
>            * * *
> 
> Tit   = total number of iterations
> Tnf   = total number of function evaluations
> Tnint = total number of segments explored during Cauchy searches
> Skip  = number of BFGS updates skipped
> Nact  = number of active bounds at final generalized Cauchy point
> Projg = norm of the final projected gradient
> F     = final function value
> 
>            * * *
> 
>    N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
>     9     84    104     92     0     1   3.357D-05   2.245D+00
>   F =   2.2445124495651143     
> 
> CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH             
> Executing /<<PKGBUILDDIR>>/examples/notebooks/ordinal_regression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ordinal_regression.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/tsa_filters.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_filters.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/wls.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/wls.ipynb
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_news.ipynb
> An error occurred while executing the following cell:
> ------------------
> import pandas_datareader as pdr
> levels = pdr.get_data_fred(['PCEPILFE', 'CPILFESL'], start='1999', end='2019').to_period('M')
> infl = np.log(levels).diff().iloc[1:] * 1200
> infl.columns = ['PCE', 'CPI']
> 
> # Remove two outliers and de-mean the series
> infl['PCE'].loc['2001-09':'2001-10'] = np.nan
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[14], line 1
> ----> 1 import pandas_datareader as pdr
>       2 levels = pdr.get_data_fred(['PCEPILFE', 'CPILFESL'], start='1999', end='2019').to_period('M')
>       3 infl = np.log(levels).diff().iloc[1:] * 1200
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> import pandas_datareader as pdr
> levels = pdr.get_data_fred(['PCEPILFE', 'CPILFESL'], start='1999', end='2019').to_period('M')
> infl = np.log(levels).diff().iloc[1:] * 1200
> infl.columns = ['PCE', 'CPI']
> 
> # Remove two outliers and de-mean the series
> infl['PCE'].loc['2001-09':'2001-10'] = np.nan
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[14], line 1
> ----> 1 import pandas_datareader as pdr
>       2 levels = pdr.get_data_fred(['PCEPILFE', 'CPILFESL'], start='1999', end='2019').to_period('M')
>       3 infl = np.log(levels).diff().iloc[1:] * 1200
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/regression_plots.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_plots.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.02s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/discrete_choice_overview.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_overview.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/ordinal_regression.ipynb
> An error occurred while executing the following cell:
> ------------------
> url = "https://stats.idre.ucla.edu/stat/data/ologit.dta"
> data_student = pd.read_stata(url)
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 2
>       1 url = "https://stats.idre.ucla.edu/stat/data/ologit.dta"
> ----> 2 data_student = pd.read_stata(url)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:2025, in read_stata(filepath_or_buffer, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, iterator, compression, storage_options)
>    2008 @Appender(_read_stata_doc)
>    2009 @deprecate_nonkeyword_arguments(version=None, allowed_args=["filepath_or_buffer"])
>    2010 def read_stata(
>    (...)
>    2022     storage_options: StorageOptions = None,
>    2023 ) -> DataFrame | StataReader:
> -> 2025     reader = StataReader(
>    2026         filepath_or_buffer,
>    2027         convert_dates=convert_dates,
>    2028         convert_categoricals=convert_categoricals,
>    2029         index_col=index_col,
>    2030         convert_missing=convert_missing,
>    2031         preserve_dtypes=preserve_dtypes,
>    2032         columns=columns,
>    2033         order_categoricals=order_categoricals,
>    2034         chunksize=chunksize,
>    2035         storage_options=storage_options,
>    2036         compression=compression,
>    2037     )
>    2039     if iterator or chunksize:
>    2040         return reader
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:1168, in StataReader.__init__(self, path_or_buf, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, compression, storage_options)
>    1165 self._lines_read = 0
>    1167 self._native_byteorder = _set_endianness(sys.byteorder)
> -> 1168 with get_handle(
>    1169     path_or_buf,
>    1170     "rb",
>    1171     storage_options=storage_options,
>    1172     is_text=False,
>    1173     compression=compression,
>    1174 ) as handles:
>    1175     # Copy to BytesIO, and ensure no encoding
>    1176     self.path_or_buf = BytesIO(handles.handle.read())
>    1178 self._read_header()
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> An error occurred while executing the following cell:
> ------------------
> url = "https://stats.idre.ucla.edu/stat/data/ologit.dta"
> data_student = pd.read_stata(url)
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[2], line 2
>       1 url = "https://stats.idre.ucla.edu/stat/data/ologit.dta"
> ----> 2 data_student = pd.read_stata(url)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:2025, in read_stata(filepath_or_buffer, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, iterator, compression, storage_options)
>    2008 @Appender(_read_stata_doc)
>    2009 @deprecate_nonkeyword_arguments(version=None, allowed_args=["filepath_or_buffer"])
>    2010 def read_stata(
>    (...)
>    2022     storage_options: StorageOptions = None,
>    2023 ) -> DataFrame | StataReader:
> -> 2025     reader = StataReader(
>    2026         filepath_or_buffer,
>    2027         convert_dates=convert_dates,
>    2028         convert_categoricals=convert_categoricals,
>    2029         index_col=index_col,
>    2030         convert_missing=convert_missing,
>    2031         preserve_dtypes=preserve_dtypes,
>    2032         columns=columns,
>    2033         order_categoricals=order_categoricals,
>    2034         chunksize=chunksize,
>    2035         storage_options=storage_options,
>    2036         compression=compression,
>    2037     )
>    2039     if iterator or chunksize:
>    2040         return reader
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:1168, in StataReader.__init__(self, path_or_buf, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, compression, storage_options)
>    1165 self._lines_read = 0
>    1167 self._native_byteorder = _set_endianness(sys.byteorder)
> -> 1168 with get_handle(
>    1169     path_or_buf,
>    1170     "rb",
>    1171     storage_options=storage_options,
>    1172     is_text=False,
>    1173     compression=compression,
>    1174 ) as handles:
>    1175     # Copy to BytesIO, and ensure no encoding
>    1176     self.path_or_buf = BytesIO(handles.handle.read())
>    1178 self._read_header()
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/variance_components.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/variance_components.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/stationarity_detrending_adf_kpss.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_concentrated_scale.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_concentrated_scale.ipynb0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/autoregressive_distributed_lag.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.01s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/distributed_estimation.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/distributed_estimation.ipynb
> 0.01s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/stl_decomposition.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/stl_decomposition.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_dfm_coincident.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_dfm_coincident.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_chandrasekhar.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_chandrasekhar.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_dfm_coincident.ipynb
> An error occurred while executing the following cell:
> ------------------
> from pandas_datareader.data import DataReader
> 
> # Get the datasets from FRED
> start = '1979-01-01'
> end = '2014-12-01'
> indprod = DataReader('IPMAN', 'fred', start=start, end=end)
> income = DataReader('W875RX1', 'fred', start=start, end=end)
> sales = DataReader('CMRMTSPL', 'fred', start=start, end=end)
> emp = DataReader('PAYEMS', 'fred', start=start, end=end)
> # dta = pd.concat((indprod, income, sales, emp), axis=1)
> # dta.columns = ['indprod', 'income', 'sales', 'emp']
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[2], line 1
> ----> 1 from pandas_datareader.data import DataReader
>       3 # Get the datasets from FRED
>       4 start = '1979-01-01'
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> from pandas_datareader.data import DataReader
> 
> # Get the datasets from FRED
> start = '1979-01-01'
> end = '2014-12-01'
> indprod = DataReader('IPMAN', 'fred', start=start, end=end)
> income = DataReader('W875RX1', 'fred', start=start, end=end)
> sales = DataReader('CMRMTSPL', 'fred', start=start, end=end)
> emp = DataReader('PAYEMS', 'fred', start=start, end=end)
> # dta = pd.concat((indprod, income, sales, emp), axis=1)
> # dta.columns = ['indprod', 'income', 'sales', 'emp']
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[2], line 1
> ----> 1 from pandas_datareader.data import DataReader
>       3 # Get the datasets from FRED
>       4 start = '1979-01-01'
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/gee_nested_simulation.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gee_nested_simulation.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_local_linear_trend.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_local_linear_trend.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_chandrasekhar.ipynb
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> import matplotlib.pyplot as plt
> 
> from pandas_datareader.data import DataReader
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 8
>       5 import statsmodels.api as sm
>       6 import matplotlib.pyplot as plt
> ----> 8 from pandas_datareader.data import DataReader
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> %matplotlib inline
> 
> import numpy as np
> import pandas as pd
> import statsmodels.api as sm
> import matplotlib.pyplot as plt
> 
> from pandas_datareader.data import DataReader
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[1], line 8
>       5 import statsmodels.api as sm
>       6 import matplotlib.pyplot as plt
> ----> 8 from pandas_datareader.data import DataReader
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/formulas.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_structural_harvey_jaeger.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/autoregressive_distributed_lag.ipynb
> An error occurred while executing the following cell:
> ------------------
> greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt")
> greene.head()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[19], line 1
> ----> 1 greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt")
>       2 greene.head()
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1385, in read_fwf(filepath_or_buffer, colspecs, widths, infer_nrows, **kwds)
>    1383 kwds["infer_nrows"] = infer_nrows
>    1384 kwds["engine"] = "python-fwf"
> -> 1385 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     602 _validate_names(kwds.get("names", None))
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
>     608     return parser
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1439     self.options["has_index_names"] = kwds["has_index_names"]
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1733     if "b" not in mode:
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
>    1746 f = self.handles.handle
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1377, in HTTPHandler.http_open(self, req)
>    1376 def http_open(self, req):
> -> 1377     return self.do_open(http.client.HTTPConnection, req)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> An error occurred while executing the following cell:
> ------------------
> greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt")
> greene.head()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[19], line 1
> ----> 1 greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt")
>       2 greene.head()
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1385, in read_fwf(filepath_or_buffer, colspecs, widths, infer_nrows, **kwds)
>    1383 kwds["infer_nrows"] = infer_nrows
>    1384 kwds["engine"] = "python-fwf"
> -> 1385 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     602 _validate_names(kwds.get("names", None))
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
>     608     return parser
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1439     self.options["has_index_names"] = kwds["has_index_names"]
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1733     if "b" not in mode:
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
>    1746 f = self.handles.handle
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1377, in HTTPHandler.http_open(self, req)
>    1376 def http_open(self, req):
> -> 1377     return self.do_open(http.client.HTTPConnection, req)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/glm_weights.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_weights.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_local_linear_trend.ipynb
> An error occurred while executing the following cell:
> ------------------
> import requests
> from io import BytesIO
> from zipfile import ZipFile
>     
> # Download the dataset
> ck = requests.get('http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip').content
> zipped = ZipFile(BytesIO(ck))
> df = pd.read_table(
>     BytesIO(zipped.read('OxCodeIntroStateSpaceBook/Chapter_2/NorwayFinland.txt')),
>     skiprows=1, header=None, sep='\s+', engine='python',
>     names=['date','nf', 'ff']
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:715, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     714 # Make the request on the httplib connection object.
> --> 715 httplib_response = self._make_request(
>     716     conn,
>     717     method,
>     718     url,
>     719     timeout=timeout_obj,
>     720     body=body,
>     721     headers=headers,
>     722     chunked=chunked,
>     723 )
>     725 # If we're going to release the connection in ``finally:``, then
>     726 # the response doesn't need to know about the connection. Otherwise
>     727 # it will also try to release it and we'll have a double-release
>     728 # mess.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:416, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
>     415     else:
> --> 416         conn.request(method, url, **httplib_request_kw)
>     418 # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
>     419 # legitimately able to close the connection after sending a valid response.
>     420 # With this behaviour, the received response is still readable.
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:244, in HTTPConnection.request(self, method, url, body, headers)
>     243     headers["User-Agent"] = _get_default_user_agent()
> --> 244 super(HTTPConnection, self).request(method, url, body=body, headers=headers)
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in HTTPConnection.connect(self)
>     204 def connect(self):
> --> 205     conn = self._new_conn()
>     206     self._prepare_conn(conn)
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 6
>       3 from zipfile import ZipFile
>       5 # Download the dataset
> ----> 6 ck = requests.get('http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip').content
>       7 zipped = ZipFile(BytesIO(ck))
>       8 df = pd.read_table(
>       9     BytesIO(zipped.read('OxCodeIntroStateSpaceBook/Chapter_2/NorwayFinland.txt')),
>      10     skiprows=1, header=None, sep='\s+', engine='python',
>      11     names=['date','nf', 'ff']
>      12 )
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> An error occurred while executing the following cell:
> ------------------
> import requests
> from io import BytesIO
> from zipfile import ZipFile
>     
> # Download the dataset
> ck = requests.get('http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip').content
> zipped = ZipFile(BytesIO(ck))
> df = pd.read_table(
>     BytesIO(zipped.read('OxCodeIntroStateSpaceBook/Chapter_2/NorwayFinland.txt')),
>     skiprows=1, header=None, sep='\s+', engine='python',
>     names=['date','nf', 'ff']
> )
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connection.py:174, in HTTPConnection._new_conn(self)
>     173 try:
> --> 174     conn = connection.create_connection(
>     175         (self._dns_host, self.port), self.timeout, **extra_kw
>     176     )
>     178 except SocketTimeout:
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:96, in create_connection(address, timeout, source_address, socket_options)
>      95 if err is not None:
> ---> 96     raise err
>      98 raise socket.error("getaddrinfo returns an empty list")
> 
> File /usr/lib/python3/dist-packages/urllib3/util/connection.py:86, in create_connection(address, timeout, source_address, socket_options)
>      85     sock.bind(source_address)
> ---> 86 sock.connect(sa)
>      87 return sock
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> NewConnectionError                        Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:715, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     714 # Make the request on the httplib connection object.
> --> 715 httplib_response = self._make_request(
>     716     conn,
>     717     method,
>     718     url,
>     719     timeout=timeout_obj,
>     720     body=body,
>     721     headers=headers,
>     722     chunked=chunked,
>     723 )
>     725 # If we're going to release the connection in ``finally:``, then
>     726 # the response doesn't need to know about the connection. Otherwise
>     727 # it will also try to release it and we'll have a double-release
>     728 # mess.
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:416, in HTTPConnectionPool._make_request(self, conn, method, url, timeout, chunked, **httplib_request_kw)
>     415     else:
> --> 416         conn.request(method, url, **httplib_request_kw)
>     418 # We are swallowing BrokenPipeError (errno.EPIPE) since the server is
>     419 # legitimately able to close the connection after sending a valid response.
>     420 # With this behaviour, the received response is still readable.
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:244, in HTTPConnection.request(self, method, url, body, headers)
>     243     headers["User-Agent"] = _get_default_user_agent()
> --> 244 super(HTTPConnection, self).request(method, url, body=body, headers=headers)
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:205, in HTTPConnection.connect(self)
>     204 def connect(self):
> --> 205     conn = self._new_conn()
>     206     self._prepare_conn(conn)
> 
> File /usr/lib/python3/dist-packages/urllib3/connection.py:186, in HTTPConnection._new_conn(self)
>     185 except SocketError as e:
> --> 186     raise NewConnectionError(
>     187         self, "Failed to establish a new connection: %s" % e
>     188     )
>     190 return conn
> 
> NewConnectionError: <urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> MaxRetryError                             Traceback (most recent call last)
> File /usr/lib/python3/dist-packages/requests/adapters.py:486, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     485 try:
> --> 486     resp = conn.urlopen(
>     487         method=request.method,
>     488         url=url,
>     489         body=request.body,
>     490         headers=request.headers,
>     491         redirect=False,
>     492         assert_same_host=False,
>     493         preload_content=False,
>     494         decode_content=False,
>     495         retries=self.max_retries,
>     496         timeout=timeout,
>     497         chunked=chunked,
>     498     )
>     500 except (ProtocolError, OSError) as err:
> 
> File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:799, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
>     797     e = ProtocolError("Connection aborted.", e)
> --> 799 retries = retries.increment(
>     800     method, url, error=e, _pool=self, _stacktrace=sys.exc_info()[2]
>     801 )
>     802 retries.sleep()
> 
> File /usr/lib/python3/dist-packages/urllib3/util/retry.py:592, in Retry.increment(self, method, url, response, error, _pool, _stacktrace)
>     591 if new_retry.is_exhausted():
> --> 592     raise MaxRetryError(_pool, url, error or ResponseError(cause))
>     594 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry)
> 
> MaxRetryError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> During handling of the above exception, another exception occurred:
> 
> ProxyError                                Traceback (most recent call last)
> Cell In[3], line 6
>       3 from zipfile import ZipFile
>       5 # Download the dataset
> ----> 6 ck = requests.get('http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip').content
>       7 zipped = ZipFile(BytesIO(ck))
>       8 df = pd.read_table(
>       9     BytesIO(zipped.read('OxCodeIntroStateSpaceBook/Chapter_2/NorwayFinland.txt')),
>      10     skiprows=1, header=None, sep='\s+', engine='python',
>      11     names=['date','nf', 'ff']
>      12 )
> 
> File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs)
>      62 def get(url, params=None, **kwargs):
>      63     r"""Sends a GET request.
>      64 
>      65     :param url: URL for the new :class:`Request` object.
>    (...)
>      70     :rtype: requests.Response
>      71     """
> ---> 73     return request("get", url, params=params, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs)
>      55 # By using the 'with' statement we are sure the session is closed, thus we
>      56 # avoid leaving sockets open which can trigger a ResourceWarning in some
>      57 # cases, and look like a memory leak in others.
>      58 with sessions.Session() as session:
> ---> 59     return session.request(method=method, url=url, **kwargs)
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)
>     584 send_kwargs = {
>     585     "timeout": timeout,
>     586     "allow_redirects": allow_redirects,
>     587 }
>     588 send_kwargs.update(settings)
> --> 589 resp = self.send(prep, **send_kwargs)
>     591 return resp
> 
> File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs)
>     700 start = preferred_clock()
>     702 # Send the request
> --> 703 r = adapter.send(request, **kwargs)
>     705 # Total elapsed time of the request (approximately)
>     706 elapsed = preferred_clock() - start
> 
> File /usr/lib/python3/dist-packages/requests/adapters.py:513, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies)
>     510     raise RetryError(e, request=request)
>     512 if isinstance(e.reason, _ProxyError):
> --> 513     raise ProxyError(e, request=request)
>     515 if isinstance(e.reason, _SSLError):
>     516     # This branch is for urllib3 v1.22 and later.
>     517     raise SSLError(e, request=request)
> 
> ProxyError: HTTPConnectionPool(host='127.0.0.1', port=9): Max retries exceeded with url: http://staff.feweb.vu.nl/koopman/projects/ckbook/OxCodeAll.zip (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x7fa7c101ec10>: Failed to establish a new connection: [Errno 111] Connection refused')))
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/categorical_interaction_plot.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/categorical_interaction_plot.ipynb
> 0.02s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/mediation_survival.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mediation_survival.ipynb
> Executing /<<PKGBUILDDIR>>/examples/notebooks/quantile_regression.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quantile_regression.ipynb
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_structural_harvey_jaeger.ipynb
> An error occurred while executing the following cell:
> ------------------
> # Datasets
> from pandas_datareader.data import DataReader
> 
> # Get the raw data
> start = '1948-01'
> end = '2008-01'
> us_gnp = DataReader('GNPC96', 'fred', start=start, end=end)
> us_gnp_deflator = DataReader('GNPDEF', 'fred', start=start, end=end)
> us_monetary_base = DataReader('AMBSL', 'fred', start=start, end=end).resample('QS').mean()
> recessions = DataReader('USRECQ', 'fred', start=start, end=end).resample('QS').last().values[:,0]
> 
> # Construct the dataframe
> dta = pd.concat(map(np.log, (us_gnp, us_gnp_deflator, us_monetary_base)), axis=1)
> dta.columns = ['US GNP','US Prices','US monetary base']
> dta.index.freq = dta.index.inferred_freq
> dates = dta.index._mpl_repr()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[2], line 2
>       1 # Datasets
> ----> 2 from pandas_datareader.data import DataReader
>       4 # Get the raw data
>       5 start = '1948-01'
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> An error occurred while executing the following cell:
> ------------------
> # Datasets
> from pandas_datareader.data import DataReader
> 
> # Get the raw data
> start = '1948-01'
> end = '2008-01'
> us_gnp = DataReader('GNPC96', 'fred', start=start, end=end)
> us_gnp_deflator = DataReader('GNPDEF', 'fred', start=start, end=end)
> us_monetary_base = DataReader('AMBSL', 'fred', start=start, end=end).resample('QS').mean()
> recessions = DataReader('USRECQ', 'fred', start=start, end=end).resample('QS').last().values[:,0]
> 
> # Construct the dataframe
> dta = pd.concat(map(np.log, (us_gnp, us_gnp_deflator, us_monetary_base)), axis=1)
> dta.columns = ['US GNP','US Prices','US monetary base']
> dta.index.freq = dta.index.inferred_freq
> dates = dta.index._mpl_repr()
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[2], line 2
>       1 # Datasets
> ----> 2 from pandas_datareader.data import DataReader
>       4 # Get the raw data
>       5 start = '1948-01'
> 
> ModuleNotFoundError: No module named 'pandas_datareader'
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/statespace_varmax.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_varmax.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.03s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/generic_mle.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/generic_mle.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/glm_formula.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_formula.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> Executing /<<PKGBUILDDIR>>/examples/notebooks/deterministics.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/deterministics.ipynb
> 0.00s - Debugger warning: It seems that frozen modules are being used, which may
> 0.01s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_varmax.ipynb
> An error occurred while executing the following cell:
> ------------------
> dta = sm.datasets.webuse('lutkepohl2', 'https://www.stata-press.com/data/r12/')
> dta.index = dta.qtr
> dta.index.freq = dta.index.inferred_freq
> endog = dta.loc['1960-04-01':'1978-10-01', ['dln_inv', 'dln_inc', 'dln_consump']]
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[3], line 1
> ----> 1 dta = sm.datasets.webuse('lutkepohl2', 'https://www.stata-press.com/data/r12/')
>       2 dta.index = dta.qtr
>       3 dta.index.freq = dta.index.inferred_freq
> 
> File /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/datasets/utils.py:43, in webuse(data, baseurl, as_df)
>      16 """
>      17 Download and return an example dataset from Stata.
>      18 
>    (...)
>      40 error checking in response URLs.
>      41 """
>      42 url = urljoin(baseurl, data+'.dta')
> ---> 43 return read_stata(url)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:2025, in read_stata(filepath_or_buffer, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, iterator, compression, storage_options)
>    2008 @Appender(_read_stata_doc)
>    2009 @deprecate_nonkeyword_arguments(version=None, allowed_args=["filepath_or_buffer"])
>    2010 def read_stata(
>    (...)
>    2022     storage_options: StorageOptions = None,
>    2023 ) -> DataFrame | StataReader:
> -> 2025     reader = StataReader(
>    2026         filepath_or_buffer,
>    2027         convert_dates=convert_dates,
>    2028         convert_categoricals=convert_categoricals,
>    2029         index_col=index_col,
>    2030         convert_missing=convert_missing,
>    2031         preserve_dtypes=preserve_dtypes,
>    2032         columns=columns,
>    2033         order_categoricals=order_categoricals,
>    2034         chunksize=chunksize,
>    2035         storage_options=storage_options,
>    2036         compression=compression,
>    2037     )
>    2039     if iterator or chunksize:
>    2040         return reader
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:1168, in StataReader.__init__(self, path_or_buf, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, compression, storage_options)
>    1165 self._lines_read = 0
>    1167 self._native_byteorder = _set_endianness(sys.byteorder)
> -> 1168 with get_handle(
>    1169     path_or_buf,
>    1170     "rb",
>    1171     storage_options=storage_options,
>    1172     is_text=False,
>    1173     compression=compression,
>    1174 ) as handles:
>    1175     # Copy to BytesIO, and ensure no encoding
>    1176     self.path_or_buf = BytesIO(handles.handle.read())
>    1178 self._read_header()
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> An error occurred while executing the following cell:
> ------------------
> dta = sm.datasets.webuse('lutkepohl2', 'https://www.stata-press.com/data/r12/')
> dta.index = dta.qtr
> dta.index.freq = dta.index.inferred_freq
> endog = dta.loc['1960-04-01':'1978-10-01', ['dln_inv', 'dln_inc', 'dln_consump']]
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[3], line 1
> ----> 1 dta = sm.datasets.webuse('lutkepohl2', 'https://www.stata-press.com/data/r12/')
>       2 dta.index = dta.qtr
>       3 dta.index.freq = dta.index.inferred_freq
> 
> File /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/datasets/utils.py:43, in webuse(data, baseurl, as_df)
>      16 """
>      17 Download and return an example dataset from Stata.
>      18 
>    (...)
>      40 error checking in response URLs.
>      41 """
>      42 url = urljoin(baseurl, data+'.dta')
> ---> 43 return read_stata(url)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:2025, in read_stata(filepath_or_buffer, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, iterator, compression, storage_options)
>    2008 @Appender(_read_stata_doc)
>    2009 @deprecate_nonkeyword_arguments(version=None, allowed_args=["filepath_or_buffer"])
>    2010 def read_stata(
>    (...)
>    2022     storage_options: StorageOptions = None,
>    2023 ) -> DataFrame | StataReader:
> -> 2025     reader = StataReader(
>    2026         filepath_or_buffer,
>    2027         convert_dates=convert_dates,
>    2028         convert_categoricals=convert_categoricals,
>    2029         index_col=index_col,
>    2030         convert_missing=convert_missing,
>    2031         preserve_dtypes=preserve_dtypes,
>    2032         columns=columns,
>    2033         order_categoricals=order_categoricals,
>    2034         chunksize=chunksize,
>    2035         storage_options=storage_options,
>    2036         compression=compression,
>    2037     )
>    2039     if iterator or chunksize:
>    2040         return reader
> 
> File /usr/lib/python3/dist-packages/pandas/io/stata.py:1168, in StataReader.__init__(self, path_or_buf, convert_dates, convert_categoricals, index_col, convert_missing, preserve_dtypes, columns, order_categoricals, chunksize, compression, storage_options)
>    1165 self._lines_read = 0
>    1167 self._native_byteorder = _set_endianness(sys.byteorder)
> -> 1168 with get_handle(
>    1169     path_or_buf,
>    1170     "rb",
>    1171     storage_options=storage_options,
>    1172     is_text=False,
>    1173     compression=compression,
>    1174 ) as handles:
>    1175     # Copy to BytesIO, and ensure no encoding
>    1176     self.path_or_buf = BytesIO(handles.handle.read())
>    1178 self._read_header()
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> ******************************************************************************
> 
> 
> Executing /<<PKGBUILDDIR>>/examples/notebooks/influence_glm_logit.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/influence_glm_logit.ipynb
> 0.03s - Debugger warning: It seems that frozen modules are being used, which may
> 0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off
> 0.00s - to python to disable frozen modules.
> 0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.
> 
> ******************************************************************************
> ERROR: Error occurred when running /<<PKGBUILDDIR>>/examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb
> An error occurred while executing the following cell:
> ------------------
> import arviz as az
> 
> # Collect the observation error covariance parameters
> az_obs_cov = az.convert_to_inference_data({
>     ('Var[%s]' % mod.endog_names[i] if i == j else
>      'Cov[%s, %s]' % (mod.endog_names[i], mod.endog_names[j])):
>     store_obs_cov[nburn + 1:, i, j]
>     for i in range(mod.k_endog) for j in range(i, mod.k_endog)})
> 
> # Plot the credible intervals
> az.plot_forest(az_obs_cov, figsize=(8, 7));
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[16], line 1
> ----> 1 import arviz as az
>       3 # Collect the observation error covariance parameters
>       4 az_obs_cov = az.convert_to_inference_data({
>       5     ('Var[%s]' % mod.endog_names[i] if i == j else
>       6      'Cov[%s, %s]' % (mod.endog_names[i], mod.endog_names[j])):
>       7     store_obs_cov[nburn + 1:, i, j]
>       8     for i in range(mod.k_endog) for j in range(i, mod.k_endog)})
> 
> ModuleNotFoundError: No module named 'arviz'
> 
> An error occurred while executing the following cell:
> ------------------
> import arviz as az
> 
> # Collect the observation error covariance parameters
> az_obs_cov = az.convert_to_inference_data({
>     ('Var[%s]' % mod.endog_names[i] if i == j else
>      'Cov[%s, %s]' % (mod.endog_names[i], mod.endog_names[j])):
>     store_obs_cov[nburn + 1:, i, j]
>     for i in range(mod.k_endog) for j in range(i, mod.k_endog)})
> 
> # Plot the credible intervals
> az.plot_forest(az_obs_cov, figsize=(8, 7));
> ------------------
> 
> 
> ---------------------------------------------------------------------------
> ModuleNotFoundError                       Traceback (most recent call last)
> Cell In[16], line 1
> ----> 1 import arviz as az
>       3 # Collect the observation error covariance parameters
>       4 az_obs_cov = az.convert_to_inference_data({
>       5     ('Var[%s]' % mod.endog_names[i] if i == j else
>       6      'Cov[%s, %s]' % (mod.endog_names[i], mod.endog_names[j])):
>       7     store_obs_cov[nburn + 1:, i, j]
>       8     for i in range(mod.k_endog) for j in range(i, mod.k_endog)})
> 
> ModuleNotFoundError: No module named 'arviz'
> 
> ******************************************************************************
> 
> 
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_faq.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gls.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_arma_0.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/metaanalysis1.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/pca_fertility_factors.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_regression.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_fixed_params.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_stata.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_forecasting.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gee_score_test_simulation.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quasibinomial.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_cycles.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/rolling_ls.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/plots_boxplots.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/contrasts.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/kernel_density.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/chi2_fitting.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_internet.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_0.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_0.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_example.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_seasonal.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/recursive_ls.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ols.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/theta-model.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/predict.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/robust_models_1.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/markov_autoregression.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/autoregressions.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_arma_1.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/lowess.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/exponential_smoothing.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_diagnostics.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/copula.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ets.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_news.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/ordinal_regression.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/tsa_filters.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/wls.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/regression_plots.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/discrete_choice_overview.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/variance_components.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_concentrated_scale.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/distributed_estimation.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/stl_decomposition.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_dfm_coincident.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_chandrasekhar.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/gee_nested_simulation.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_local_linear_trend.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_weights.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/categorical_interaction_plot.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/mediation_survival.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/quantile_regression.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_varmax.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/generic_mle.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/glm_formula.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/deterministics.ipynb
> Finished /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/influence_glm_logit.ipynb
> Copying (without executing) /<<PKGBUILDDIR>>/examples/notebooks/statespace_custom_models.ipynb to /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/statespace_custom_models.ipynb
> Finished (without execution) /<<PKGBUILDDIR>>/examples/notebooks/statespace_custom_models.ipynb
> Copying notebooks that failed execution (there are usually several in Debian because some need network and/or dependencies we don't have)
> cp -nav ../examples/notebooks/*.ipynb -t source/examples/notebooks/generated
> '../examples/notebooks/autoregressions.ipynb' -> 'source/examples/notebooks/generated/autoregressions.ipynb'
> '../examples/notebooks/autoregressive_distributed_lag.ipynb' -> 'source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb'
> '../examples/notebooks/contrasts.ipynb' -> 'source/examples/notebooks/generated/contrasts.ipynb'
> '../examples/notebooks/interactions_anova.ipynb' -> 'source/examples/notebooks/generated/interactions_anova.ipynb'
> '../examples/notebooks/markov_autoregression.ipynb' -> 'source/examples/notebooks/generated/markov_autoregression.ipynb'
> '../examples/notebooks/ordinal_regression.ipynb' -> 'source/examples/notebooks/generated/ordinal_regression.ipynb'
> '../examples/notebooks/recursive_ls.ipynb' -> 'source/examples/notebooks/generated/recursive_ls.ipynb'
> '../examples/notebooks/rolling_ls.ipynb' -> 'source/examples/notebooks/generated/rolling_ls.ipynb'
> '../examples/notebooks/statespace_chandrasekhar.ipynb' -> 'source/examples/notebooks/generated/statespace_chandrasekhar.ipynb'
> '../examples/notebooks/statespace_cycles.ipynb' -> 'source/examples/notebooks/generated/statespace_cycles.ipynb'
> '../examples/notebooks/statespace_dfm_coincident.ipynb' -> 'source/examples/notebooks/generated/statespace_dfm_coincident.ipynb'
> '../examples/notebooks/statespace_fixed_params.ipynb' -> 'source/examples/notebooks/generated/statespace_fixed_params.ipynb'
> '../examples/notebooks/statespace_local_linear_trend.ipynb' -> 'source/examples/notebooks/generated/statespace_local_linear_trend.ipynb'
> '../examples/notebooks/statespace_news.ipynb' -> 'source/examples/notebooks/generated/statespace_news.ipynb'
> '../examples/notebooks/statespace_sarimax_internet.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_internet.ipynb'
> '../examples/notebooks/statespace_sarimax_pymc3.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb'
> '../examples/notebooks/statespace_sarimax_stata.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_stata.ipynb'
> '../examples/notebooks/statespace_structural_harvey_jaeger.ipynb' -> 'source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb'
> '../examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb' -> 'source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb'
> '../examples/notebooks/statespace_varmax.ipynb' -> 'source/examples/notebooks/generated/statespace_varmax.ipynb'
> '../examples/notebooks/theta-model.ipynb' -> 'source/examples/notebooks/generated/theta-model.ipynb'
> Running sphinx-build
> @sphinx-build -M html source build
> Running Sphinx v7.1.1
> [autosummary] generating autosummary for: about.rst, anova.rst, api-structure.rst, api.rst, contingency_tables.rst, contrasts.rst, datasets/generated/anes96.rst, datasets/generated/cancer.rst, datasets/generated/ccard.rst, datasets/generated/china_smoking.rst, ..., release/version0.9.rst, rlm.rst, rlm_techn1.rst, sandbox.rst, statespace.rst, stats.rst, tools.rst, tsa.rst, user-guide.rst, vector_ar.rst
> [autosummary] generating autosummary for: /<<PKGBUILDDIR>>/docs/source/datasets/statsmodels.datasets.clear_data_home.rst, /<<PKGBUILDDIR>>/docs/source/datasets/statsmodels.datasets.get_data_home.rst, /<<PKGBUILDDIR>>/docs/source/datasets/statsmodels.datasets.get_rdataset.rst, /<<PKGBUILDDIR>>/docs/source/datasets/statsmodels.datasets.webuse.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.__init__.test.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.LikelihoodModel.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.LikelihoodModelResults.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.Model.rst, ..., /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.var_model.VARResults.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.CointRankResults.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECM.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.coint_johansen.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.select_coint_rank.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.select_order.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.x13.x13_arima_analysis.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.x13.x13_arima_select_order.rst
> [autosummary] generating autosummary for: /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.endog_names.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.exog_names.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.expandparams.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.fit.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.from_formula.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian_factor.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.information.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.initialize.rst, /<<PKGBUILDDIR>>/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglike.rst, ..., /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_granger_causality.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_inst_causality.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_normality.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_whiteness.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma.rst, /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep.rst
> loading intersphinx inventory from https://docs.scipy.org/doc/numpy/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python3-doc/html/objects.inv...
> loading intersphinx inventory from https://matthew-brett.github.io/pydagogue/objects.inv...
> loading intersphinx inventory from https://matplotlib.org/objects.inv...
> WARNING: failed to reach any of the inventories with the following issues:
> intersphinx inventory 'https://matthew-brett.github.io/pydagogue/objects.inv' not fetchable due to <class 'requests.exceptions.ProxyError'>: HTTPSConnectionPool(host='matthew-brett.github.io', port=443): Max retries exceeded with url: /pydagogue/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fcea83fd590>: Failed to establish a new connection: [Errno 111] Connection refused')))
> loading intersphinx inventory from /usr/share/doc/python-scipy-doc/html/objects.inv...
> loading intersphinx inventory from /usr/share/doc/python-pandas-doc/html/objects.inv...
> WARNING: failed to reach any of the inventories with the following issues:
> intersphinx inventory 'https://docs.scipy.org/doc/numpy/objects.inv' not fetchable due to <class 'requests.exceptions.ProxyError'>: HTTPSConnectionPool(host='docs.scipy.org', port=443): Max retries exceeded with url: /doc/numpy/objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fcea807d650>: Failed to establish a new connection: [Errno 111] Connection refused')))
> WARNING: failed to reach any of the inventories with the following issues:
> intersphinx inventory 'https://matplotlib.org/objects.inv' not fetchable due to <class 'requests.exceptions.ProxyError'>: HTTPSConnectionPool(host='matplotlib.org', port=443): Max retries exceeded with url: /objects.inv (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0x7fcea844fa50>: Failed to establish a new connection: [Errno 111] Connection refused')))
> building [mo]: targets for 0 po files that are out of date
> writing output... 
> building [html]: targets for 173 source files that are out of date
> updating environment: [new config] 6071 added, 0 changed, 0 removed
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> reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_gamma
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> reading sources... [ 99%] generated/statsmodels.tsa.x13.x13_arima_select_order
> reading sources... [ 99%] gettingstarted
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> reading sources... [ 99%] gmm
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> reading sources... [ 99%] index
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> reading sources... [100%] release/version0.10
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 50
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> ConnectionRefusedError                    Traceback (most recent call last)
> File /usr/lib/python3.11/urllib/request.py:1348, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1347 try:
> -> 1348     h.request(req.get_method(), req.selector, req.data, headers,
>    1349               encode_chunked=req.has_header('Transfer-encoding'))
>    1350 except OSError as err: # timeout error
> 
> File /usr/lib/python3.11/http/client.py:1286, in HTTPConnection.request(self, method, url, body, headers, encode_chunked)
>    1285 """Send a complete request to the server."""
> -> 1286 self._send_request(method, url, body, headers, encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1332, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked)
>    1331     body = _encode(body, 'body')
> -> 1332 self.endheaders(body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1281, in HTTPConnection.endheaders(self, message_body, encode_chunked)
>    1280     raise CannotSendHeader()
> -> 1281 self._send_output(message_body, encode_chunked=encode_chunked)
> 
> File /usr/lib/python3.11/http/client.py:1041, in HTTPConnection._send_output(self, message_body, encode_chunked)
>    1040 del self._buffer[:]
> -> 1041 self.send(msg)
>    1043 if message_body is not None:
>    1044 
>    1045     # create a consistent interface to message_body
> 
> File /usr/lib/python3.11/http/client.py:979, in HTTPConnection.send(self, data)
>     978 if self.auto_open:
> --> 979     self.connect()
>     980 else:
> 
> File /usr/lib/python3.11/http/client.py:1451, in HTTPSConnection.connect(self)
>    1449 "Connect to a host on a given (SSL) port."
> -> 1451 super().connect()
>    1453 if self._tunnel_host:
> 
> File /usr/lib/python3.11/http/client.py:945, in HTTPConnection.connect(self)
>     944 sys.audit("http.client.connect", self, self.host, self.port)
> --> 945 self.sock = self._create_connection(
>     946     (self.host,self.port), self.timeout, self.source_address)
>     947 # Might fail in OSs that don't implement TCP_NODELAY
> 
> File /usr/lib/python3.11/socket.py:851, in create_connection(address, timeout, source_address, all_errors)
>     850 if not all_errors:
> --> 851     raise exceptions[0]
>     852 raise ExceptionGroup("create_connection failed", exceptions)
> 
> File /usr/lib/python3.11/socket.py:836, in create_connection(address, timeout, source_address, all_errors)
>     835     sock.bind(source_address)
> --> 836 sock.connect(sa)
>     837 # Break explicitly a reference cycle
> 
> ConnectionRefusedError: [Errno 111] Connection refused
> 
> During handling of the above exception, another exception occurred:
> 
> URLError                                  Traceback (most recent call last)
> Cell In[3], line 1
> ----> 1 hsb2 = pandas.read_csv(url)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs)
>     209     else:
>     210         kwargs[new_arg_name] = new_arg_value
> --> 211 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/util/_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs)
>     325 if len(args) > num_allow_args:
>     326     warnings.warn(
>     327         msg.format(arguments=_format_argument_list(allow_args)),
>     328         FutureWarning,
>     329         stacklevel=find_stack_level(),
>     330     )
> --> 331 return func(*args, **kwargs)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)
>     935 kwds_defaults = _refine_defaults_read(
>     936     dialect,
>     937     delimiter,
>    (...)
>     946     defaults={"delimiter": ","},
>     947 )
>     948 kwds.update(kwds_defaults)
> --> 950 return _read(filepath_or_buffer, kwds)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:605, in _read(filepath_or_buffer, kwds)
>     602 _validate_names(kwds.get("names", None))
>     604 # Create the parser.
> --> 605 parser = TextFileReader(filepath_or_buffer, **kwds)
>     607 if chunksize or iterator:
>     608     return parser
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1442, in TextFileReader.__init__(self, f, engine, **kwds)
>    1439     self.options["has_index_names"] = kwds["has_index_names"]
>    1441 self.handles: IOHandles | None = None
> -> 1442 self._engine = self._make_engine(f, self.engine)
> 
> File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1735, in TextFileReader._make_engine(self, f, engine)
>    1733     if "b" not in mode:
>    1734         mode += "b"
> -> 1735 self.handles = get_handle(
>    1736     f,
>    1737     mode,
>    1738     encoding=self.options.get("encoding", None),
>    1739     compression=self.options.get("compression", None),
>    1740     memory_map=self.options.get("memory_map", False),
>    1741     is_text=is_text,
>    1742     errors=self.options.get("encoding_errors", "strict"),
>    1743     storage_options=self.options.get("storage_options", None),
>    1744 )
>    1745 assert self.handles is not None
>    1746 f = self.handles.handle
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:713, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options)
>     710     codecs.lookup_error(errors)
>     712 # open URLs
> --> 713 ioargs = _get_filepath_or_buffer(
>     714     path_or_buf,
>     715     encoding=encoding,
>     716     compression=compression,
>     717     mode=mode,
>     718     storage_options=storage_options,
>     719 )
>     721 handle = ioargs.filepath_or_buffer
>     722 handles: list[BaseBuffer]
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:363, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options)
>     361 # assuming storage_options is to be interpreted as headers
>     362 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options)
> --> 363 with urlopen(req_info) as req:
>     364     content_encoding = req.headers.get("Content-Encoding", None)
>     365     if content_encoding == "gzip":
>     366         # Override compression based on Content-Encoding header
> 
> File /usr/lib/python3/dist-packages/pandas/io/common.py:265, in urlopen(*args, **kwargs)
>     259 """
>     260 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of
>     261 the stdlib.
>     262 """
>     263 import urllib.request
> --> 265 return urllib.request.urlopen(*args, **kwargs)
> 
> File /usr/lib/python3.11/urllib/request.py:216, in urlopen(url, data, timeout, cafile, capath, cadefault, context)
>     214 else:
>     215     opener = _opener
> --> 216 return opener.open(url, data, timeout)
> 
> File /usr/lib/python3.11/urllib/request.py:519, in OpenerDirector.open(self, fullurl, data, timeout)
>     516     req = meth(req)
>     518 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method())
> --> 519 response = self._open(req, data)
>     521 # post-process response
>     522 meth_name = protocol+"_response"
> 
> File /usr/lib/python3.11/urllib/request.py:536, in OpenerDirector._open(self, req, data)
>     533     return result
>     535 protocol = req.type
> --> 536 result = self._call_chain(self.handle_open, protocol, protocol +
>     537                           '_open', req)
>     538 if result:
>     539     return result
> 
> File /usr/lib/python3.11/urllib/request.py:496, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args)
>     494 for handler in handlers:
>     495     func = getattr(handler, meth_name)
> --> 496     result = func(*args)
>     497     if result is not None:
>     498         return result
> 
> File /usr/lib/python3.11/urllib/request.py:1391, in HTTPSHandler.https_open(self, req)
>    1390 def https_open(self, req):
> -> 1391     return self.do_open(http.client.HTTPSConnection, req,
>    1392         context=self._context, check_hostname=self._check_hostname)
> 
> File /usr/lib/python3.11/urllib/request.py:1351, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args)
>    1348         h.request(req.get_method(), req.selector, req.data, headers,
>    1349                   encode_chunked=req.has_header('Transfer-encoding'))
>    1350     except OSError as err: # timeout error
> -> 1351         raise URLError(err)
>    1352     r = h.getresponse()
>    1353 except:
> 
> URLError: <urlopen error [Errno 111] Connection refused>
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 56
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[4], line 1
> ----> 1 hsb2.groupby('race')['write'].mean()
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 74
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[9], line 1
> ----> 1 contrast.matrix[hsb2.race-1, :][:20]
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 83
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[11], line 1
> ----> 1 mod = ols("write ~ C(race, Treatment)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 83
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[12], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 83
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[13], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 100
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[16], line 1
> ----> 1 mod = ols("write ~ C(race, Simple)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 100
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[17], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 100
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[18], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 115
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[22], line 1
> ----> 1 mod = ols("write ~ C(race, Sum)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 115
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[23], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 115
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[24], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 121
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[25], line 1
> ----> 1 hsb2.groupby('race')['write'].mean().mean()
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 136
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[29], line 1
> ----> 1 mod = ols("write ~ C(race, Diff)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 136
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[30], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 136
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[31], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 144
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[32], line 1
> ----> 1 res.params["C(race, Diff)[D.1]"]
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 144
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[33], line 1
> ----> 1 hsb2.groupby('race').mean()["write"].loc[2] - \
>       2     hsb2.groupby('race').mean()["write"].loc[1]
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 159
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[37], line 1
> ----> 1 mod = ols("write ~ C(race, Helmert)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 159
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[38], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 159
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[39], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 166
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[40], line 1
> ----> 1 grouped = hsb2.groupby('race')
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 166
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[41], line 1
> ----> 1 grouped.mean()["write"].loc[4] - grouped.mean()["write"].loc[:3].mean()
> 
> NameError: name 'grouped' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 176
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[43], line 1
> ----> 1 1./k * (grouped.mean()["write"].loc[k] - grouped.mean()["write"].loc[:k-1].mean())
> 
> NameError: name 'grouped' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 176
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[45], line 1
> ----> 1 1./k * (grouped.mean()["write"].loc[k] - grouped.mean()["write"].loc[:k-1].mean())
> 
> NameError: name 'grouped' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 191
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[46], line 1
> ----> 1 _, bins = np.histogram(hsb2.read, 3)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 191
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[47], line 2
>       1 try: # requires numpy main
> ----> 2     readcat = np.digitize(hsb2.read, bins, True)
>       3 except:
> 
> NameError: name 'hsb2' is not defined
> 
> During handling of the above exception, another exception occurred:
> 
> NameError                                 Traceback (most recent call last)
> Cell In[47], line 4
>       2     readcat = np.digitize(hsb2.read, bins, True)
>       3 except:
> ----> 4     readcat = np.digitize(hsb2.read, bins)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 191
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[48], line 1
> ----> 1 hsb2['readcat'] = readcat
> 
> NameError: name 'readcat' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 191
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[49], line 1
> ----> 1 hsb2.groupby('readcat').mean()['write']
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 202
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[51], line 1
> ----> 1 levels = hsb2.readcat.unique().tolist()
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 202
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[54], line 1
> ----> 1 mod = ols("write ~ C(readcat, Poly)", data=hsb2)
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 202
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[55], line 1
> ----> 1 res = mod.fit()
> 
> NameError: name 'mod' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 202
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[56], line 1
> ----> 1 print(res.summary())
> 
> NameError: name 'res' is not defined
> 
> <<<-------------------------------------------------------------------------
> WARNING: 
> >>>-------------------------------------------------------------------------
> Exception in /<<PKGBUILDDIR>>/docs/source/contrasts.rst at block ending on line 237
> Specify :okexcept: as an option in the ipython:: block to suppress this message
> ---------------------------------------------------------------------------
> NameError                                 Traceback (most recent call last)
> Cell In[60], line 1
> ----> 1 mod = ols("write ~ C(race, Simple)", data=hsb2)
>       2 res = mod.fit()
>       3 print(res.summary())
> 
> NameError: name 'hsb2' is not defined
> 
> <<<-------------------------------------------------------------------------
> /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.ipynb:211: WARNING: File not found: 'examples/notebooks/generated/regression_diagnostics.html'
> /<<PKGBUILDDIR>>/docs/source/examples/notebooks/generated/formulas.ipynb:564: WARNING: File not found: 'examples/notebooks/generated/contrasts.html'
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.rst:2: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog:statsmodels.genmod.families.links.cloglog, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog.deriv:statsmodels.genmod.families.links.cloglog.deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog.deriv2:statsmodels.genmod.families.links.cloglog.deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.inverse.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog.inverse:statsmodels.genmod.families.links.cloglog.inverse, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.inverse.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.inverse_deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog.inverse_deriv:statsmodels.genmod.families.links.cloglog.inverse\_deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.cloglog.inverse_deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.cloglog.inverse_deriv2:statsmodels.genmod.families.links.cloglog.inverse\_deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.rst:2: WARNING: duplicate label generated/statsmodels.genmod.families.links.log:statsmodels.genmod.families.links.log, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.log.deriv:statsmodels.genmod.families.links.log.deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.log.deriv2:statsmodels.genmod.families.links.log.deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.inverse.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.log.inverse:statsmodels.genmod.families.links.log.inverse, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.inverse.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.inverse_deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.log.inverse_deriv:statsmodels.genmod.families.links.log.inverse\_deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.inverse_deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.log.inverse_deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.log.inverse_deriv2:statsmodels.genmod.families.links.log.inverse\_deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Log.inverse_deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.rst:2: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit:statsmodels.genmod.families.links.logit, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit.deriv:statsmodels.genmod.families.links.logit.deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit.deriv2:statsmodels.genmod.families.links.logit.deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.inverse.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit.inverse:statsmodels.genmod.families.links.logit.inverse, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.inverse.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.inverse_deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit.inverse_deriv:statsmodels.genmod.families.links.logit.inverse\_deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.inverse_deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.logit.inverse_deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.logit.inverse_deriv2:statsmodels.genmod.families.links.logit.inverse\_deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.Logit.inverse_deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.rst:2: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog:statsmodels.genmod.families.links.loglog, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog.deriv:statsmodels.genmod.families.links.loglog.deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog.deriv2:statsmodels.genmod.families.links.loglog.deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.deriv2.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.inverse.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog.inverse:statsmodels.genmod.families.links.loglog.inverse, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.inverse.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.inverse_deriv.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog.inverse_deriv:statsmodels.genmod.families.links.loglog.inverse\_deriv, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.inverse_deriv.rst
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.loglog.inverse_deriv2.rst:4: WARNING: duplicate label generated/statsmodels.genmod.families.links.loglog.inverse_deriv2:statsmodels.genmod.families.links.loglog.inverse\_deriv2, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.genmod.families.links.LogLog.inverse_deriv2.rst
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/miscmodels/ordinal_model.py:docstring of statsmodels.miscmodels.ordinal_model.OrderedResults:81: CRITICAL: Unexpected section title.
> 
> References
> ----------
> /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.multivariate.pca.pca.rst:2: WARNING: duplicate label generated/statsmodels.multivariate.pca.pca:statsmodels.multivariate.pca.pca, other instance in /<<PKGBUILDDIR>>/docs/source/generated/statsmodels.multivariate.pca.PCA.rst
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/nonparametric/kde.py:docstring of statsmodels.nonparametric.kde.KDEUnivariate:54: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/nonparametric/kde.py:docstring of statsmodels.nonparametric.kde.KDEUnivariate:61: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/nonparametric/kde.py:docstring of statsmodels.nonparametric.kde.KDEUnivariate:68: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/nonparametric/kde.py:docstring of statsmodels.nonparametric.kde.KDEUnivariate:76: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/nonparametric/kde.py:docstring of statsmodels.nonparametric.kde.KDEUnivariate:84: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLSResults:63: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLSResults:75: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLSResults:86: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLSResults:98: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLSResults:201: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/regression/quantile_regression.py:docstring of statsmodels.regression.quantile_regression.QuantRegResults:121: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/sandbox/regression/gmm.py:docstring of statsmodels.sandbox.regression.gmm.IVRegressionResults:35: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/sandbox/regression/gmm.py:docstring of statsmodels.sandbox.regression.gmm.IVRegressionResults:47: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/sandbox/regression/gmm.py:docstring of statsmodels.sandbox.regression.gmm.IVRegressionResults:58: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/sandbox/regression/gmm.py:docstring of statsmodels.sandbox.regression.gmm.IVRegressionResults:70: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/sandbox/regression/gmm.py:docstring of statsmodels.sandbox.regression.gmm.IVRegressionResults:168: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/contingency_tables.py:docstring of statsmodels.stats.contingency_tables.SquareTable:86: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/contingency_tables.py:docstring of statsmodels.stats.contingency_tables.StratifiedTable:42: CRITICAL: Unexpected section title.
> 
> References
> ----------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/contingency_tables.py:docstring of statsmodels.stats.contingency_tables.Table2x2:99: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.OLSInfluence:47: CRITICAL: Unexpected section title.
> 
> References
> ----------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.OLSInfluence:84: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.OLSInfluence:89: CRITICAL: Unexpected section title.
> 
> References
> ----------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.OLSInfluence:111: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.OLSInfluence:131: CRITICAL: Unexpected section title.
> 
> See Also
> --------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults:38: CRITICAL: Unexpected section title.
> 
> Returns
> -------
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults:46: CRITICAL: Unexpected section title.
> 
> Notes
> -----
> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults:57: CRITICAL: Unexpected section title.
> 
> See Also
> --------
> /<<PKGBUILDDIR>>/docs/source/glm.rst:144: WARNING: duplicate object description of statsmodels.genmod.families.family, other instance in gee, use :noindex: for one of them
> 
> Exception occurred:
>   File "/usr/lib/python3/dist-packages/sphinx/ext/extlinks.py", line 103, in role
>     title = caption % part
>             ~~~~~~~~^~~~~~
> TypeError: not all arguments converted during string formatting
> The full traceback has been saved in /tmp/sphinx-err-0mee_gtw.log, if you want to report the issue to the developers.
> Please also report this if it was a user error, so that a better error message can be provided next time.
> A bug report can be filed in the tracker at <https://github.com/sphinx-doc/sphinx/issues>. Thanks!
> make[2]: *** [Makefile:41: html] Error 2


The full build log is available from:
http://qa-logs.debian.net/2023/07/30/exp/statsmodels_0.13.5+dfsg-7_unstable_sphinx-exp.log

Please see [1] for Sphinx changelog and [2] for Docutils changelog.

Also see [3] for the list of deprecated/removed APIs in Sphinx and possible
alternatives to them.

Some notable changes in Sphinx 6 and Sphinx 7:

- Sphinx no longer includes jquery.js and underscore.js by default.
  Please use python3-sphinxcontrib.jquery package if you are using a custom
  template and it still needs jquery.

- The setup.py build_sphinx command was removed. Please instead call
  sphinx-build or "python3 -m sphinx" directly.

- For packages using the extlinks extension, the caption should contain
  exactly one "%s" placeholder (if caption is not None).

In case you have questions, please Cc sphinx at packages.debian.org on reply.

[1]: https://www.sphinx-doc.org/en/master/changes.html
[2]: https://repo.or.cz/docutils.git/blob/refs/tags/docutils-0.20.1:/RELEASE-NOTES.txt
[3]: https://www.sphinx-doc.org/en/master/extdev/deprecated.html#dev-deprecated-apis

All bugs filed during this archive rebuild are listed at:
https://bugs.debian.org/cgi-bin/pkgreport.cgi?tag=sphinx7.1;users=python-modules-team@lists.alioth.debian.org
or:
https://udd.debian.org/bugs/?release=na&merged=ign&fnewerval=7&flastmodval=7&fusertag=only&fusertagtag=sphinx7.1&fusertaguser=python-modules-team@lists.alioth.debian.org&allbugs=1&cseverity=1&ctags=1&caffected=1#results

If you reassign this bug to another package, please marking it as 'affects'-ing
this package. See https://www.debian.org/Bugs/server-control#affects



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