def test_default_path(self):
cur_value = None
if 'CMDSTAN' in os.environ:
cur_value = os.environ['CMDSTAN']
try:
if 'CMDSTAN' in os.environ:
self.assertEqual(cmdstan_path(), os.environ['CMDSTAN'])
path = os.environ['CMDSTAN']
del os.environ['CMDSTAN']
self.assertFalse('CMDSTAN' in os.environ)
set_cmdstan_path(path)
self.assertEqual(cmdstan_path(), path)
self.assertTrue('CMDSTAN' in os.environ)
else:
install_dir = os.path.expanduser(
os.path.join('~', '.cmdstanpy')
)
install_version = os.path.expanduser(
os.path.join(install_dir, get_latest_cmdstan(install_dir))
)
self.assertTrue(
os.path.samefile(cmdstan_path(), install_version)
)
self.assertTrue('CMDSTAN' in os.environ)
finally:
if cur_value is not None:
os.environ['CMDSTAN'] = cur_value
else:
if 'CMDSTAN' in os.environ:
del os.environ['CMDSTAN']
def test_cmdstan_version(self):
with tempfile.TemporaryDirectory(prefix="cmdstan_tests",
dir=_TMPDIR) as tmpdir:
tdir = os.path.join(tmpdir, 'tmpdir_xxx')
os.makedirs(tdir)
fake_path = os.path.join(tdir, 'cmdstan-2.22.0')
os.makedirs(os.path.join(fake_path))
fake_bin = os.path.join(fake_path, 'bin')
os.makedirs(fake_bin)
Path(os.path.join(fake_bin, 'stanc' + EXTENSION)).touch()
with self.modified_environ(CMDSTAN=fake_path):
self.assertTrue(fake_path == cmdstan_path())
expect = ('CmdStan installation {} missing makefile, '
'cannot get version.'.format(fake_path))
with LogCapture() as log:
logging.getLogger()
cmdstan_version()
log.check_present(('cmdstanpy', 'INFO', expect))
fake_makefile = os.path.join(fake_path, 'makefile')
with open(fake_makefile, 'w') as fd:
fd.write('... CMDSTAN_VERSION := dont_need_no_mmp\n\n')
expect = (
'Cannot parse version, expected "<major>.<minor>.<patch>", '
'found: "dont_need_no_mmp".')
with LogCapture() as log:
logging.getLogger()
cmdstan_version()
log.check_present(('cmdstanpy', 'INFO', expect))
cmdstan_path()
def compile_model(
stan_file: str = None,
opt_lvl: int = 2,
overwrite: bool = False,
include_paths: List[str] = None,
) -> Model:
"""
Compile the given Stan model file to an executable.
:param stan_file: Path to Stan program
:param opt_lvl: Optimization level for C++ compiler, one of {0, 1, 2, 3}
where level 0 optimization results in the shortest compilation time
with code that may run slowly and increasing optimization levels increase
compile time and runtime performance.
:param overwrite: When True, existing executable will be overwritten.
Defaults to False.
:param include_paths: List of paths to directories where Stan should look
for files to include in compilation of the C++ executable.
"""
if stan_file is None:
raise Exception('must specify argument "stan_file"')
if not os.path.exists(stan_file):
raise Exception('no such stan_file {}'.format(stan_file))
program_name = os.path.basename(stan_file)
exe_file, _ = os.path.splitext(os.path.abspath(stan_file))
hpp_file = '.'.join([exe_file, 'hpp'])
if overwrite or not os.path.exists(hpp_file):
print('translating to {}'.format(hpp_file))
stanc_path = os.path.join(cmdstan_path(), 'bin', 'stanc')
cmd = [stanc_path, '--o={}'.format(hpp_file), stan_file]
if include_paths is not None:
bad_paths = [d for d in include_paths if not os.path.exists(d)]
if any(bad_paths):
raise Exception('invalid include paths: {}'.format(
', '.join(bad_paths)))
cmd.append('--include_paths=' + ','.join(include_paths))
print('stan to c++: make args {}'.format(cmd))
do_command(cmd)
if not os.path.exists(hpp_file):
raise Exception('syntax error'.format(stan_file))
if platform.system().lower().startswith('win'):
exe_file += '.exe'
if not overwrite and os.path.exists(exe_file):
# print('model is up to date') # notify user or not?
return Model(stan_file, exe_file)
exe_file_path = Path(exe_file).as_posix()
cmd = ['make', 'O={}'.format(opt_lvl), exe_file_path]
print('compiling c++: make args {}'.format(cmd))
try:
do_command(cmd, cmdstan_path())
except Exception:
return Model(stan_file)
return Model(stan_file, exe_file)
def test_set_path(self):
if 'CMDSTAN' in os.environ:
self.assertEqual(cmdstan_path(), os.environ['CMDSTAN'])
else:
install_dir = os.path.expanduser(os.path.join('~', '.cmdstanpy'))
install_version = os.path.expanduser(
os.path.join(install_dir, get_latest_cmdstan(install_dir)))
set_cmdstan_path(install_version)
self.assertEqual(install_version, cmdstan_path())
self.assertEqual(install_version, os.environ['CMDSTAN'])
def test_set_path(self):
if 'CMDSTAN' in os.environ:
self.assertEqual(cmdstan_path(), os.environ['CMDSTAN'])
else:
cmdstan_dir = os.path.expanduser(os.path.join('~', _DOT_CMDSTAN))
if not os.path.exists(cmdstan_dir):
cmdstan_dir = os.path.expanduser(
os.path.join('~', _DOT_CMDSTANPY))
install_version = os.path.join(cmdstan_dir,
get_latest_cmdstan(cmdstan_dir))
set_cmdstan_path(install_version)
self.assertEqual(install_version, cmdstan_path())
self.assertEqual(install_version, os.environ['CMDSTAN'])
def test_default_path(self):
if 'CMDSTAN' in os.environ:
self.assertPathsEqual(cmdstan_path(), os.environ['CMDSTAN'])
path = os.environ['CMDSTAN']
with self.modified_environ('CMDSTAN'):
self.assertFalse('CMDSTAN' in os.environ)
set_cmdstan_path(path)
self.assertPathsEqual(cmdstan_path(), path)
self.assertTrue('CMDSTAN' in os.environ)
else:
cmdstan_dir = os.path.expanduser(os.path.join('~', _DOT_CMDSTAN))
install_version = os.path.join(cmdstan_dir,
get_latest_cmdstan(cmdstan_dir))
self.assertTrue(os.path.samefile(cmdstan_path(), install_version))
self.assertTrue('CMDSTAN' in os.environ)
def summary(self) -> pd.DataFrame:
"""
Run cmdstan/bin/stansummary over all output csv files.
Echo stansummary stdout/stderr to console.
Assemble csv tempfile contents into pandasDataFrame.
"""
names = self.column_names
cmd_path = os.path.join(cmdstan_path(), 'bin',
'stansummary' + EXTENSION)
tmp_csv_file = 'stansummary-{}-{}-chain-'.format(
self.runset._args.model_name, self.runset.chains)
tmp_csv_path = create_named_text_file(dir=TMPDIR,
prefix=tmp_csv_file,
suffix='.csv')
cmd = [
cmd_path,
'--csv_file={}'.format(tmp_csv_path),
] + self.runset.csv_files
do_command(cmd, logger=self.runset._logger)
with open(tmp_csv_path, 'rb') as fd:
summary_data = pd.read_csv(fd,
delimiter=',',
header=0,
index_col=0,
comment='#')
mask = [
x == 'lp__' or not x.endswith('__') for x in summary_data.index
]
return summary_data[mask]
def test_set_path(self):
install_dir = os.path.expanduser(os.path.join('~', '.cmdstanpy'))
install_version = os.path.expanduser(
os.path.join(install_dir, get_latest_cmdstan(install_dir))
)
set_cmdstan_path(install_version)
self.assertEqual(install_version, cmdstan_path())
def summary(self) -> pd.DataFrame:
"""
Run cmdstan/bin/stansummary over all output csv files.
Echo stansummary stdout/stderr to console.
Assemble csv tempfile contents into pandasDataFrame.
"""
self._sampling_only()
names = self.column_names
cmd_path = os.path.join(cmdstan_path(), 'bin',
'stansummary' + EXTENSION)
tmp_csv_file = 'stansummary-{}-{}-chains-'.format(
self._args.model_name, self.chains)
fd, tmp_csv_path = tempfile.mkstemp(suffix='.csv',
prefix=tmp_csv_file,
dir=TMPDIR,
text=True)
cmd = '{} --csv_file={} {}'.format(cmd_path, tmp_csv_path,
' '.join(self.csv_files))
# breaks on all whitespace
do_command(cmd.split(), logger=self._logger)
summary_data = pd.read_csv(tmp_csv_path,
delimiter=',',
header=0,
index_col=0,
comment='#')
mask = [
x == 'lp__' or not x.endswith('__') for x in summary_data.index
]
return summary_data[mask]
def summary(runset: RunSet) -> pd.DataFrame:
"""
Run cmdstan/bin/stansummary over all output csv files.
Echo stansummary stdout/stderr to console.
Assemble csv tempfile contents into pandasDataFrame.
:param runset: record of completed run of NUTS sampler
"""
names = runset.column_names
cmd_path = os.path.join(cmdstan_path(), 'bin', 'stansummary')
tmp_csv_file = 'stansummary-{}-{}-chains-'.format(runset.model,
runset.chains)
fd, tmp_csv_path = tempfile.mkstemp(suffix='.csv',
prefix=tmp_csv_file,
dir=TMPDIR,
text=True)
cmd = '{} --csv_file={} {}'.format(cmd_path, tmp_csv_path,
' '.join(runset.csv_files))
do_command(cmd.split()) # breaks on all whitespace
summary_data = pd.read_csv(tmp_csv_path,
delimiter=',',
header=0,
index_col=0,
comment='#')
mask = [x == 'lp__' or not x.endswith('__') for x in summary_data.index]
return summary_data[mask]
def diagnose(self) -> str:
"""
Run cmdstan/bin/diagnose over all output csv files.
Returns output of diagnose (stdout/stderr)
The diagnose utility reads the outputs of all chains
and checks for the following potential problems:
+ Transitions that hit the maximum treedepth
+ Divergent transitions
+ Low E-BFMI values (sampler transitions HMC potential energy)
+ Low effective sample sizes
+ High R-hat values
:return str empty if no problems found
"""
self._sampling_only()
cmd_path = os.path.join(cmdstan_path(), 'bin', 'diagnose' + EXTENSION)
csv_files = ' '.join(self.csv_files)
cmd = '{} {} '.format(cmd_path, csv_files)
result = do_command(cmd=cmd.split(), logger=self._logger)
if result:
self._logger.warning(result)
return result
def summary(self, percentiles: List[int] = None) -> pd.DataFrame:
"""
Run cmdstan/bin/stansummary over all output csv files.
Echo stansummary stdout/stderr to console.
Assemble csv tempfile contents into pandasDataFrame.
:param percentiles: Ordered non-empty list of percentiles to report.
Must be integers from (1, 99), inclusive.
"""
percentiles_str = '--percentiles=5,50,95'
if percentiles is not None:
if len(percentiles) == 0:
raise ValueError(
'invalid percentiles argument, must be ordered'
' non-empty list from (1, 99), inclusive.'
)
cur_pct = 0
for pct in percentiles:
if pct > 99 or not pct > cur_pct:
raise ValueError(
'invalid percentiles spec, must be ordered'
' non-empty list from (1, 99), inclusive.'
)
cur_pct = pct
percentiles_str = '='.join(
['--percentiles', ','.join([str(x) for x in percentiles])]
)
cmd_path = os.path.join(
cmdstan_path(), 'bin', 'stansummary' + EXTENSION
)
tmp_csv_file = 'stansummary-{}-{}-chain-'.format(
self.runset._args.model_name, self.runset.chains
)
tmp_csv_path = create_named_text_file(
dir=_TMPDIR, prefix=tmp_csv_file, suffix='.csv'
)
cmd = [
cmd_path,
percentiles_str,
'--csv_file={}'.format(tmp_csv_path),
] + self.runset.csv_files
do_command(cmd, logger=self.runset._logger)
with open(tmp_csv_path, 'rb') as fd:
summary_data = pd.read_csv(
fd,
delimiter=',',
header=0,
index_col=0,
comment='#',
float_precision='high',
)
mask = [x == 'lp__' or not x.endswith('__') for x in summary_data.index]
return summary_data[mask]
def diagnose(self) -> str:
"""
Run cmdstan/bin/diagnose over all output csv files.
Returns output of diagnose (stdout/stderr).
The diagnose utility reads the outputs of all chains
and checks for the following potential problems:
+ Transitions that hit the maximum treedepth
+ Divergent transitions
+ Low E-BFMI values (sampler transitions HMC potential energy)
+ Low effective sample sizes
+ High R-hat values
"""
cmd_path = os.path.join(cmdstan_path(), 'bin', 'diagnose' + EXTENSION)
cmd = [cmd_path] + self.runset.csv_files
result = do_command(cmd=cmd, logger=self.runset._logger)
if result:
self.runset._logger.warning(result)
return result
def rebuild_cmdstan(verbose: bool = False,
progress: bool = True,
cores: int = 1) -> None:
"""
Rebuilds the existing CmdStan installation.
This assumes CmdStan has already been installed,
though it need not be installed via CmdStanPy for
this function to work.
:param verbose: Boolean value; when ``True``, show output from make command.
Default is ``False``.
:param progress: Boolean value; when ``True`` display progress progress bar.
Default is ``True``.
:param cores: Integer, number of cores to use in the ``make`` command.
Default is 1 core.
"""
try:
with pushd(cmdstan_path()):
clean_all(verbose)
build(verbose, progress, cores)
compile_example(verbose)
except ValueError as e:
raise CmdStanInstallError(
"Failed to rebuild CmdStan. Are you sure it is installed?") from e
def diagnose(runset: RunSet) -> None:
"""
Run cmdstan/bin/diagnose over all output csv files.
Echo diagnose stdout/stderr to console.
The diagnose utility reads the outputs of all chains
and checks for the following potential problems:
+ Transitions that hit the maximum treedepth
+ Divergent transitions
+ Low E-BFMI values (sampler transitions HMC potential energy)
+ Low effective sample sizes
+ High R-hat values
:param runset: record of completed run of NUTS sampler
"""
cmd_path = os.path.join(cmdstan_path(), 'bin', 'diagnose')
csv_files = ' '.join(runset.csv_files)
cmd = '{} {} '.format(cmd_path, csv_files)
result = do_command(cmd=cmd.split())
if result is None:
print('No problems detected.')
else:
print(result)
def validate(self) -> None:
"""
Check arguments correctness and consistency.
* input files must exist
* output files must be in a writeable directory
* if no seed specified, set random seed.
* length of per-chain lists equals specified # of chains
"""
if self.model_name is None:
raise ValueError('no stan model specified')
if self.model_exe is None:
raise ValueError('model not compiled')
if self.chain_ids is not None:
for chain_id in self.chain_ids:
if chain_id < 1:
raise ValueError('invalid chain_id {}'.format(chain_id))
if self.output_dir is not None:
self.output_dir = os.path.realpath(
os.path.expanduser(self.output_dir))
if not os.path.exists(self.output_dir):
try:
os.makedirs(self.output_dir)
get_logger().info('created output directory: %s',
self.output_dir)
except (RuntimeError, PermissionError) as exc:
raise ValueError('Invalid path for output files, '
'no such dir: {}.'.format(
self.output_dir)) from exc
if not os.path.isdir(self.output_dir):
raise ValueError(
'Specified output_dir is not a directory: {}.'.format(
self.output_dir))
try:
testpath = os.path.join(self.output_dir, str(time()))
with open(testpath, 'w+'):
pass
os.remove(testpath) # cleanup
except Exception as exc:
raise ValueError('Invalid path for output files,'
' cannot write to dir: {}.'.format(
self.output_dir)) from exc
if self.refresh is not None:
if not isinstance(self.refresh, int) or self.refresh < 1:
raise ValueError(
'Argument "refresh" must be a positive integer value, '
'found {}.'.format(self.refresh))
if self.sig_figs is not None:
if (not isinstance(self.sig_figs, int) or self.sig_figs < 1
or self.sig_figs > 18):
raise ValueError(
'Argument "sig_figs" must be an integer between 1 and 18,'
' found {}'.format(self.sig_figs))
# TODO: remove at some future release
if cmdstan_version_before(2, 25):
self.sig_figs = None
get_logger().warning(
'Argument "sig_figs" invalid for CmdStan versions < 2.25, '
'using version %s in directory %s',
os.path.basename(cmdstan_path()),
os.path.dirname(cmdstan_path()),
)
if self.seed is None:
rng = RandomState()
self.seed = rng.randint(1, 99999 + 1)
else:
if not isinstance(self.seed, (int, list)):
raise ValueError('Argument "seed" must be an integer between '
'0 and 2**32-1, found {}.'.format(self.seed))
if isinstance(self.seed, int):
if self.seed < 0 or self.seed > 2**32 - 1:
raise ValueError(
'Argument "seed" must be an integer between '
'0 and 2**32-1, found {}.'.format(self.seed))
else:
if self.chain_ids is None:
raise ValueError(
'List of per-chain seeds cannot be evaluated without '
'corresponding list of chain_ids.')
if len(self.seed) != len(self.chain_ids):
raise ValueError(
'Number of seeds must match number of chains,'
' found {} seed for {} chains.'.format(
len(self.seed), len(self.chain_ids)))
for seed in self.seed:
if seed < 0 or seed > 2**32 - 1:
raise ValueError(
'Argument "seed" must be an integer value'
' between 0 and 2**32-1,'
' found {}'.format(seed))
if isinstance(self.data, str):
if not os.path.exists(self.data):
raise ValueError('no such file {}'.format(self.data))
elif self.data is not None and not isinstance(self.data, (str, dict)):
raise ValueError('Argument "data" must be string or dict')
if self.inits is not None:
if isinstance(self.inits, (float, int)):
if self.inits < 0:
raise ValueError(
'Argument "inits" must be > 0, found {}'.format(
self.inits))
elif isinstance(self.inits, str):
if not os.path.exists(self.inits):
raise ValueError('no such file {}'.format(self.inits))
elif isinstance(self.inits, list):
if self.chain_ids is None:
raise ValueError(
'List of inits files cannot be evaluated without '
'corresponding list of chain_ids.')
if len(self.inits) != len(self.chain_ids):
raise ValueError(
'Number of inits files must match number of chains,'
' found {} inits files for {} chains.'.format(
len(self.inits), len(self.chain_ids)))
for inits in self.inits:
if not os.path.exists(inits):
raise ValueError('no such file {}'.format(inits))
def __init__(
self,
model_name: str = None,
stan_file: str = None,
exe_file: str = None,
compile: bool = True,
stanc_options: Dict = None,
cpp_options: Dict = None,
logger: logging.Logger = None,
) -> None:
"""
Initialize object given constructor args.
:param model_name: Model name, used for output file names.
:param stan_file: Path to Stan program file.
:param exe_file: Path to compiled executable file.
:param compile: Whether or not to compile the model.
:param stanc_options: Options for stanc compiler.
:param cpp_options: Options for C++ compiler.
:param logger: Python logger object.
"""
self._name = None
self._stan_file = None
self._exe_file = None
self._compiler_options = CompilerOptions(stanc_options=stanc_options,
cpp_options=cpp_options)
self._logger = logger or get_logger()
if model_name is not None:
if not model_name.strip():
raise ValueError(
'Invalid value for argument model name, found "{}"'.format(
model_name))
self._name = model_name.strip()
if stan_file is None:
if exe_file is None:
raise ValueError(
'Missing model file arguments, you must specify '
'either Stan source or executable program file or both.')
else:
self._stan_file = os.path.realpath(os.path.expanduser(stan_file))
if not os.path.exists(self._stan_file):
raise ValueError('no such file {}'.format(self._stan_file))
_, filename = os.path.split(stan_file)
if len(filename) < 6 or not filename.endswith('.stan'):
raise ValueError('invalid stan filename {}'.format(
self._stan_file))
if self._name is None:
self._name, _ = os.path.splitext(filename)
# if program has include directives, record path
with open(self._stan_file, 'r') as fd:
program = fd.read()
if '#include' in program:
path, _ = os.path.split(self._stan_file)
if self._compiler_options is None:
self._compiler_options = CompilerOptions(
stanc_options={'include_paths': [path]})
elif self._compiler_options._stanc_options is None:
self._compiler_options._stanc_options = {
'include_paths': [path]
}
else:
self._compiler_options.add_include_path(path)
if exe_file is not None:
self._exe_file = os.path.realpath(os.path.expanduser(exe_file))
if not os.path.exists(self._exe_file):
raise ValueError('no such file {}'.format(self._exe_file))
_, exename = os.path.split(self._exe_file)
if self._name is None:
self._name, _ = os.path.splitext(exename)
else:
if self._name != os.path.splitext(exename)[0]:
raise ValueError(
'Name mismatch between Stan file and compiled'
' executable, expecting basename: {}'
' found: {}.'.format(self._name, exename))
if self._compiler_options is not None:
self._compiler_options.validate()
if platform.system() == 'Windows':
# Add tbb to the $PATH on Windows
libtbb = os.environ.get('STAN_TBB')
if libtbb is None:
libtbb = os.path.join(cmdstan_path(), 'stan', 'lib',
'stan_math', 'lib', 'tbb')
os.environ['PATH'] = ';'.join(
list(
OrderedDict.fromkeys(
[libtbb] + os.environ.get('PATH', '').split(';'))))
if compile and self._exe_file is None:
self.compile()
if self._exe_file is None:
raise ValueError(
'Unable to compile Stan model file: {}.'.format(
self._stan_file))
def compile(
self,
force: bool = False,
stanc_options: Dict = None,
cpp_options: Dict = None,
override_options: bool = False,
) -> None:
"""
Compile the given Stan program file. Translates the Stan code to
C++, then calls the C++ compiler.
By default, this function compares the timestamps on the source and
executable files; if the executable is newer than the source file, it
will not recompile the file, unless argument ``force`` is ``True``.
:param force: When ``True``, always compile, even if the executable file
is newer than the source file. Used for Stan models which have
``#include`` directives in order to force recompilation when changes
are made to the included files.
:param stanc_options: Options for stanc compiler.
:param cpp_options: Options for C++ compiler.
:param override_options: When ``True``, override existing option.
When ``False``, add/replace existing options. Default is ``False``.
"""
if not self._stan_file:
raise RuntimeError('Please specify source file')
compiler_options = None
if not (stanc_options is None and cpp_options is None):
compiler_options = CompilerOptions(stanc_options=stanc_options,
cpp_options=cpp_options)
compiler_options.validate()
if self._compiler_options is None:
self._compiler_options = compiler_options
elif override_options:
self._compiler_options = compiler_options
else:
self._compiler_options.add(compiler_options)
compilation_failed = False
with TemporaryCopiedFile(self._stan_file) as (stan_file, is_copied):
exe_file, _ = os.path.splitext(os.path.abspath(stan_file))
exe_file = Path(exe_file).as_posix() + EXTENSION
do_compile = True
if os.path.exists(exe_file):
src_time = os.path.getmtime(self._stan_file)
exe_time = os.path.getmtime(exe_file)
if exe_time > src_time and not force:
do_compile = False
self._logger.info('found newer exe file, not recompiling')
if do_compile:
self._logger.info('compiling stan program, exe file: %s',
exe_file)
if self._compiler_options is not None:
self._compiler_options.validate()
self._logger.info('compiler options: %s',
self._compiler_options)
make = os.getenv(
'MAKE',
'make'
if platform.system() != 'Windows' else 'mingw32-make',
)
cmd = [make]
if self._compiler_options is not None:
cmd.extend(self._compiler_options.compose())
cmd.append(Path(exe_file).as_posix())
try:
do_command(cmd, cmdstan_path(), logger=self._logger)
except RuntimeError as e:
self._logger.error('file %s, exception %s', stan_file,
str(e))
compilation_failed = True
if not compilation_failed:
if is_copied:
original_target_dir = os.path.dirname(
os.path.abspath(self._stan_file))
new_exec_name = (os.path.basename(
os.path.splitext(self._stan_file)[0]) + EXTENSION)
self._exe_file = os.path.join(original_target_dir,
new_exec_name)
shutil.copy(exe_file, self._exe_file)
else:
self._exe_file = exe_file
self._logger.info('compiled model file: %s', self._exe_file)
else:
self._logger.error('model compilation failed')
def test_default_path(self):
abs_rel_path = os.path.expanduser(
os.path.join('~', '.cmdstanpy', 'cmdstan'))
self.assertTrue(cmdstan_path().startswith(abs_rel_path))
def show_cmdstan_version(self):
print('\n\nCmdStan version: {}\n\n'.format(cmdstan_path()))
self.assertTrue(True)
def compile(
self,
opt_lvl: int = 2,
overwrite: bool = False,
include_paths: List[str] = None,
) -> None:
"""
Compile the given Stan program file. Translates the Stan code to
C++, then calls the C++ compiler.
:param opt_lvl: Optimization level used by the C++ compiler, one of
{0, 1, 2, 3}. Defaults to level 2. Level 0 optimization results
in the shortest compilation time with code that may run slowly.
Higher optimization levels increase runtime performance but will
take longer to compile.
:param overwrite: When True, existing executable will be overwritten.
Defaults to False.
:param include_paths: List of paths to directories where Stan should
look for files to include in compilation of the C++ executable.
"""
if not self._stan_file:
raise RuntimeError('Please specify source file')
if self._exe_file is not None and not overwrite:
self._logger.warning('model is already compiled')
return
with TemporaryCopiedFile(self._stan_file) as (stan_file, is_copied):
hpp_file = os.path.splitext(stan_file)[0] + '.hpp'
hpp_file = Path(hpp_file).as_posix()
if overwrite or not os.path.exists(hpp_file):
self._logger.info('stan to c++ (%s)', hpp_file)
stanc_path = os.path.join(cmdstan_path(), 'bin',
'stanc' + EXTENSION)
stanc_path = Path(stanc_path).as_posix()
cmd = [
stanc_path,
'--o={}'.format(hpp_file),
Path(stan_file).as_posix(),
]
if include_paths is not None:
bad_paths = [
d for d in include_paths if not os.path.exists(d)
]
if any(bad_paths):
raise Exception('invalid include paths: {}'.format(
', '.join(bad_paths)))
cmd.append('--include_paths=' +
','.join((Path(p).as_posix()
for p in include_paths)))
do_command(cmd, logger=self._logger)
if not os.path.exists(hpp_file):
raise Exception('syntax error'.format(stan_file))
exe_file, _ = os.path.splitext(os.path.abspath(stan_file))
exe_file = Path(exe_file).as_posix()
exe_file += EXTENSION
make = os.getenv('MAKE', 'make')
cmd = [make, 'O={}'.format(opt_lvl), exe_file]
self._logger.info('compiling c++')
try:
do_command(cmd, cmdstan_path(), self._logger)
except Exception as e:
self._logger.error('make cmd failed %s', e)
if is_copied:
original_target_dir = os.path.dirname(self._stan_file)
# reconstruct the output file name
new_exec_name = (
os.path.basename(os.path.splitext(self._stan_file)[0]) +
EXTENSION)
self._exe_file = os.path.join(original_target_dir,
new_exec_name)
# copy the generated file back to the original directory
shutil.copy(exe_file, self._exe_file)
else:
self._exe_file = exe_file
self._logger.info('compiled model file: %s', self._exe_file)
def compile(self, opt_lvl: int = 3, force: bool = False) -> None:
"""
Compile the given Stan program file. Translates the Stan code to
C++, then calls the C++ compiler.
By default, this function compares the timestamps on the source and
executable files; if the executable is newer than the source file, it
will not recompile the file, unless argument ``force`` is True.
:param opt_lvl: Optimization level used by the C++ compiler, one of
{0, 1, 2, 3}. Defaults to level 2. Level 0 optimization results
in the shortest compilation time with code that may run slowly.
Higher optimization levels increase runtime performance but will
take longer to compile.
:param force: When ``True``, always compile, even if the executable file
is newer than the source file. Used for Stan models which have
``#include`` directives in order to force recompilation when changes
are made to the included files.
"""
if not self._stan_file:
raise RuntimeError('Please specify source file')
compilation_failed = False
with TemporaryCopiedFile(self._stan_file) as (stan_file, is_copied):
exe_file, _ = os.path.splitext(os.path.abspath(stan_file))
exe_file = Path(exe_file).as_posix()
exe_file += EXTENSION
do_compile = True
if os.path.exists(exe_file):
src_time = os.path.getmtime(self._stan_file)
exe_time = os.path.getmtime(exe_file)
if exe_time > src_time and not force:
do_compile = False
self._logger.info('found newer exe file, not recompiling')
if do_compile:
make = os.getenv(
'MAKE',
'make'
if platform.system() != 'Windows'
else 'mingw32-make',
)
hpp_file = os.path.splitext(stan_file)[0] + '.hpp'
hpp_file = Path(hpp_file).as_posix()
if not os.path.exists(hpp_file):
self._logger.info('stan to c++ (%s)', hpp_file)
cmd = [
make,
Path(exe_file).as_posix(),
'STANCFLAGS+=--o={}'.format(hpp_file),
]
if self._include_paths is not None:
bad_paths = [
d
for d in self._include_paths
if not os.path.exists(d)
]
if any(bad_paths):
raise ValueError(
'invalid include paths: {}'.format(
', '.join(bad_paths)
)
)
cmd.append(
'STANCFLAGS+=--include_paths='
+ ','.join(
(
Path(p).as_posix()
for p in self._include_paths
)
)
)
try:
do_command(cmd, cmdstan_path(), logger=self._logger)
except RuntimeError as e:
self._logger.error(
'file %s, exception %s', stan_file, str(e)
)
compilation_failed = True
if not compilation_failed:
cmd = [make, 'O={}'.format(opt_lvl), exe_file]
self._logger.info('compiling c++')
try:
do_command(cmd, cmdstan_path(), logger=self._logger)
except RuntimeError as e:
self._logger.error('make cmd failed %s', repr(e))
compilation_failed = True
if not compilation_failed:
if is_copied:
original_target_dir = os.path.dirname(
os.path.abspath(self._stan_file)
)
new_exec_name = (
os.path.basename(os.path.splitext(self._stan_file)[0])
+ EXTENSION
)
self._exe_file = os.path.join(
original_target_dir, new_exec_name
)
shutil.copy(exe_file, self._exe_file)
else:
self._exe_file = exe_file
self._logger.info('compiled model file: %s', self._exe_file)
else:
self._logger.error('model compilation failed')
def test_cmdstan_version_at(self):
cmdstan_path() # sets os.environ['CMDSTAN']
self.assertFalse(cmdstan_version_at(99, 99))
def test_cmdstan_version_before(self):
cmdstan_path() # sets os.environ['CMDSTAN']
self.assertTrue(cmdstan_version_before(99, 99))
self.assertFalse(cmdstan_version_before(1, 1))
def validate(self) -> None:
"""
Check arguments correctness and consistency.
* input files must exist
* output files must be in a writeable directory
* if no seed specified, set random seed.
* length of per-chain lists equals specified # of chains
"""
if self.model_name is None:
raise ValueError('no stan model specified')
if self.model_exe is None:
raise ValueError('model not compiled')
if self.chain_ids is not None:
for i in range(len(self.chain_ids)):
if self.chain_ids[i] < 1:
raise ValueError('invalid chain_id {}'.format(
self.chain_ids[i]))
if self.output_dir is not None:
self.output_dir = os.path.realpath(
os.path.expanduser(self.output_dir))
if not os.path.exists(self.output_dir):
try:
os.makedirs(self.output_dir)
self._logger.info('created output directory: %s',
self.output_dir)
except (RuntimeError, PermissionError) as exc:
raise ValueError(
'invalid path for output files, no such dir: {}'.
format(self.output_dir)) from exc
if not os.path.isdir(self.output_dir):
raise ValueError(
'specified output_dir not a directory: {}'.format(
self.output_dir))
try:
testpath = os.path.join(self.output_dir, str(time()))
with open(testpath, 'w+'):
pass
os.remove(testpath) # cleanup
except Exception as exc:
raise ValueError('invalid path for output files,'
' cannot write to dir: {}'.format(
self.output_dir)) from exc
if self.refresh is not None:
if not isinstance(self.refresh, int) or self.refresh < 1:
raise ValueError(
'Argument refresh must be a positive integer value, '
'found {}.'.format(self.refresh))
if self.sig_figs is not None:
if (not isinstance(self.sig_figs, int) or self.sig_figs < 1
or self.sig_figs > 18):
raise ValueError(
'sig_figs must be an integer between 1 and 18,'
' found {}'.format(self.sig_figs))
if not cmdstan_version_at(2, 25):
self.sig_figs = None
self._logger.warning(
'arg sig_figs not valid, CmdStan version must be 2.25 '
'or higher, using verson %s in directory %s',
os.path.basename(cmdstan_path()),
os.path.dirname(cmdstan_path()),
)
if self.seed is None:
rng = RandomState()
self.seed = rng.randint(1, 99999 + 1)
else:
if not isinstance(self.seed, (int, list)):
raise ValueError(
'seed must be an integer between 0 and 2**32-1,'
' found {}'.format(self.seed))
if isinstance(self.seed, int):
if self.seed < 0 or self.seed > 2**32 - 1:
raise ValueError(
'seed must be an integer between 0 and 2**32-1,'
' found {}'.format(self.seed))
else:
if self.chain_ids is None:
raise ValueError(
'seed must not be a list when no chains used')
if len(self.seed) != len(self.chain_ids):
raise ValueError(
'number of seeds must match number of chains,'
' found {} seed for {} chains '.format(
len(self.seed), len(self.chain_ids)))
for i in range(len(self.seed)):
if self.seed[i] < 0 or self.seed[i] > 2**32 - 1:
raise ValueError('seed must be an integer value'
' between 0 and 2**32-1,'
' found {}'.format(self.seed[i]))
if isinstance(self.data, str):
if not os.path.exists(self.data):
raise ValueError('no such file {}'.format(self.data))
elif self.data is not None and not isinstance(self.data, (str, dict)):
raise ValueError('data must be string or dict')
if self.inits is not None:
if isinstance(self.inits, (Integral, Real)):
if self.inits < 0:
raise ValueError('inits must be > 0, found {}'.format(
self.inits))
elif isinstance(self.inits, str):
if not os.path.exists(self.inits):
raise ValueError('no such file {}'.format(self.inits))
elif isinstance(self.inits, list):
if self.chain_ids is None:
raise ValueError(
'inits must not be a list when no chains are used')
if len(self.inits) != len(self.chain_ids):
raise ValueError(
'number of inits files must match number of chains,'
' found {} inits files for {} chains '.format(
len(self.inits), len(self.chain_ids)))
names_set = set(self.inits)
if len(names_set) != len(self.inits):
raise ValueError('each chain must have its own init file,'
' found duplicates in inits files list.')
for i in range(len(self.inits)):
if not os.path.exists(self.inits[i]):
raise ValueError('no such file {}'.format(
self.inits[i]))
def summary(self,
percentiles: List[int] = None,
sig_figs: int = None) -> pd.DataFrame:
"""
Run cmdstan/bin/stansummary over all output csv files, assemble
summary into DataFrame object; first row contains summary statistics
for total joint log probability `lp__`, remaining rows contain summary
statistics for all parameters, transformed parameters, and generated
quantities variables listed in the order in which they were declared
in the Stan program.
:param percentiles: Ordered non-empty list of percentiles to report.
Must be integers from (1, 99), inclusive.
:param sig_figs: Number of significant figures to report.
Must be an integer between 1 and 18. If unspecified, the default
precision for the system file I/O is used; the usual value is 6.
If precision above 6 is requested, sample must have been produced
by CmdStan version 2.25 or later and sampler output precision
must equal to or greater than the requested summary precision.
:return: pandas.DataFrame
"""
percentiles_str = '--percentiles=5,50,95'
if percentiles is not None:
if len(percentiles) == 0:
raise ValueError(
'invalid percentiles argument, must be ordered'
' non-empty list from (1, 99), inclusive.')
cur_pct = 0
for pct in percentiles:
if pct > 99 or not pct > cur_pct:
raise ValueError(
'invalid percentiles spec, must be ordered'
' non-empty list from (1, 99), inclusive.')
cur_pct = pct
percentiles_str = '='.join(
['--percentiles', ','.join([str(x) for x in percentiles])])
sig_figs_str = '--sig_figs=2'
if sig_figs is not None:
if not isinstance(sig_figs, int) or sig_figs < 1 or sig_figs > 18:
raise ValueError(
'sig_figs must be an integer between 1 and 18,'
' found {}'.format(sig_figs))
csv_sig_figs = self._sig_figs or 6
if sig_figs > csv_sig_figs:
self._logger.warning(
'Requesting %d significant digits of output, but CSV files'
' only have %d digits of precision.',
sig_figs,
csv_sig_figs,
)
sig_figs_str = '--sig_figs=' + str(sig_figs)
cmd_path = os.path.join(cmdstan_path(), 'bin',
'stansummary' + EXTENSION)
tmp_csv_file = 'stansummary-{}-'.format(self.runset._args.model_name)
tmp_csv_path = create_named_text_file(dir=_TMPDIR,
prefix=tmp_csv_file,
suffix='.csv',
name_only=True)
csv_str = '--csv_filename={}'.format(tmp_csv_path)
if not cmdstan_version_at(2, 24):
csv_str = '--csv_file={}'.format(tmp_csv_path)
cmd = [
cmd_path,
percentiles_str,
sig_figs_str,
csv_str,
] + self.runset.csv_files
do_command(cmd, logger=self.runset._logger)
with open(tmp_csv_path, 'rb') as fd:
summary_data = pd.read_csv(
fd,
delimiter=',',
header=0,
index_col=0,
comment='#',
float_precision='high',
)
mask = [
x == 'lp__' or not x.endswith('__') for x in summary_data.index
]
return summary_data[mask]
def __init__(
self,
stan_file: str = None,
exe_file: str = None,
include_paths: List[str] = None,
compile: bool = True,
logger: logging.Logger = None,
) -> None:
"""Initialize object."""
self._stan_file = None
self._name = None
self._exe_file = None
self._include_paths = None
self._logger = logger or get_logger()
if stan_file is None:
if exe_file is None:
raise ValueError(
'must specify Stan source or executable program file'
)
else:
self._stan_file = os.path.realpath(os.path.expanduser(stan_file))
if not os.path.exists(self._stan_file):
raise ValueError('no such file {}'.format(self._stan_file))
_, filename = os.path.split(stan_file)
if len(filename) < 6 or not filename.endswith('.stan'):
raise ValueError(
'invalid stan filename {}'.format(self._stan_file)
)
self._name, _ = os.path.splitext(filename)
# if program has #includes, search program dir
with open(self._stan_file, 'r') as fd:
program = fd.read()
if '#include' in program:
path, _ = os.path.split(self._stan_file)
if include_paths is None:
include_paths = []
if path not in include_paths:
include_paths.append(path)
if exe_file is not None:
self._exe_file = os.path.realpath(os.path.expanduser(exe_file))
if not os.path.exists(self._exe_file):
raise ValueError('no such file {}'.format(self._exe_file))
_, exename = os.path.split(self._exe_file)
if self._name is None:
self._name, _ = os.path.splitext(exename)
else:
if self._name != os.path.splitext(exename)[0]:
raise ValueError(
'name mismatch between Stan file and compiled'
' executable, expecting basename: {}'
' found: {}'.format(self._name, exename)
)
if include_paths is not None:
bad_paths = [d for d in include_paths if not os.path.exists(d)]
if any(bad_paths):
raise ValueError(
'invalid include paths: {}'.format(', '.join(bad_paths))
)
self._include_paths = include_paths
if platform.system() == 'Windows':
# Add tbb to the $PATH on Windows
libtbb = os.getenv('STAN_TBB')
if libtbb is None:
libtbb = os.path.join(
cmdstan_path(), 'stan', 'lib', 'stan_math', 'lib', 'tbb'
)
os.environ['PATH'] = ';'.join(
list(
OrderedDict.fromkeys(
[libtbb] + os.getenv('PATH', '').split(';')
)
)
)
if compile and self._exe_file is None:
self.compile()
if self._exe_file is None:
raise ValueError(
'unable to compile Stan model file: {}'.format(
self._stan_file
)
)
