capsul.subprocess module¶
The capsul.subprocess
module provides interfaces similar to those of the standard subprocess
module, specialized to call specific neuroimaging software such as FSL, SPM or FreeSurfer. It provides Popen
, call()
, check_call()
and check_outputs()
replacement functions which work in the selected specific environment.
capsul.subprocess.fsl submodule¶
Specific subprocess-like functions to call FSL taking into account a potential configuration done in StudyConfig. If a StudyConfig is not configured to use FSL, it may be automatically configured. Automatic configuration had been tested in the two following cases:
FSL was installed from the FMRIB site and, at least, FSLDIR environment variable is set (fsl.sh can be sourced or not)
FSL was installed from Neurodebian packages
For calling FSL command with this module, the first argument of command line must be the FSL executable without any path nor prefix. Prefix areused in Neurodebian install. For instance on Ubuntu 16.04 Neurodebian FSL commands are prefixed with “fsl5.0-“. The appropriate path and eventually prefix are added from the configuration of the StudyConfig instance.
Classes¶
Popen
¶
Functions¶
fsl_command_with_environment()
¶
check_fsl_configuration()
¶
check_configuration_values()
¶
auto_configuration()
¶
call()
¶
check_call()
¶
check_output()
¶
- class capsul.subprocess.fsl.Popen(study_config, command, **kwargs)[source]¶
Equivalent to Python subprocess.Popen for FSL commands
Create new Popen instance.
- capsul.subprocess.fsl.auto_configuration(study_config)[source]¶
Try to automatically set the study_config configuration for FSL.
- capsul.subprocess.fsl.call(study_config, command, **kwargs)[source]¶
Equivalent to Python subprocess.call for FSL commands
- capsul.subprocess.fsl.check_call(study_config, command, **kwargs)[source]¶
Equivalent to Python subprocess.check_call for FSL commands
- capsul.subprocess.fsl.check_configuration_values(study_config)[source]¶
Check if the configuration is valid to run FLS and returns an error message if there is an error or None if everything is good.
- capsul.subprocess.fsl.check_fsl_configuration(study_config)[source]¶
Check thas study_config configuration is valid to call FSL commands. If not, try to automatically configure FSL. Finally raises an EnvironmentError if configuration is still wrong.
capsul.subprocess.spm submodule¶
Classes¶
Popen
¶
Functions¶
find_spm()
¶
check_spm_configuration()
¶
check_configuration_values()
¶
auto_configuration()
¶
spm_command()
¶
call()
¶
check_call()
¶
check_output()
¶
- class capsul.subprocess.spm.Popen(study_config, batch_file, **kwargs)[source]¶
Equivalent to Python soma.subprocess.Popen for SPM batch
Create new Popen instance.
- capsul.subprocess.spm.auto_configuration(study_config)[source]¶
Obsolete.
Try to automatically set the study_config configuration for SPM.
- capsul.subprocess.spm.call(study_config, batch_file, **kwargs)[source]¶
Equivalent to Python soma.subprocess.call for SPM batch
- capsul.subprocess.spm.check_call(study_config, batch_file, **kwargs)[source]¶
Equivalent to Python soma.subprocess.check_call for SPM batch
- capsul.subprocess.spm.check_configuration_values(study_config)[source]¶
Obsolete.
Check if the configuration is valid to run SPM and returns an error message if there is an error or None if everything is good.
- capsul.subprocess.spm.check_output(study_config, batch_file, **kwargs)[source]¶
Equivalent to Python soma.subprocess.check_output for SPM batch
- capsul.subprocess.spm.check_spm_configuration(study_config)[source]¶
Obsolete.
Check thas study_config configuration is valid to call SPM commands. If not, try to automatically configure SPM. Finally raises an EnvironmentError if configuration is still wrong.