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""" |
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NeuroTools |
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========== |
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NeuroTools is not a neural simulator, but a collection of tools |
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to support all tasks associated with a neural simulation project which |
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are not handled by the simulation engine. |
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For more information see: |
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http://neuralensemble.org/NeuroTools |
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Available subpackages |
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--------------------- |
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NeuroTools functionality is modularized as follows: |
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signals - provides core classes for manipulation of spike trains and analog signals. |
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spike2 - offers an easy way for reading data from CED's Spike2 Son files. |
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parameters - contains classes for managing large, hierarchical parameter sets. |
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analysis - cross-correlation, tuning curves, frequency spectrum, etc. |
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stgen - various stochastic process generators relevant for Neuroscience |
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(OU, poisson, inhomogenous gamma, ...). |
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utilities - miscellaneous stuff, like SRB access. |
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io - NeuroTools support for reading and writing of files in various formats. |
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plotting - routines for plotting and visualization. |
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datastore - a consistent interface for persistent data storage (e.g. for caching intermediate results). |
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random - a set of classes representing statistical distributions |
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Sub-package specific documentation is available by importing the |
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sub-package, and requesting help on it: |
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>>> import NeuroTools.signals |
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>>> help(NeuroTools.signals) |
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""" |
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__all__ = ['analysis', 'parameters', 'plotting', 'signals', 'stgen', 'io', 'datastore', 'utilities', 'spike2', 'random', 'optimize'] |
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__version__ = "0.1.0 (Asynchronous Astrocyte)" |
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dependencies = {'pylab' : {'website' : 'http://matplotlib.sourceforge.net/', 'is_present' : False, 'check':False}, |
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'matplotlib': {'website' : 'http://matplotlib.sourceforge.net/', 'is_present' : False, 'check':False}, |
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'tables': {'website' : 'http://www.pytables.org/moin' , 'is_present' : False, 'check':False}, |
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'psyco' : {'website' : 'http://psyco.sourceforge.net/', 'is_present' : False, 'check':False}, |
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'pygsl' : {'website' : 'http://pygsl.sourceforge.net/', 'is_present' : False, 'check':False}, |
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'PIL' : {'website' : 'http://www.pythonware.com/products/pil/', 'is_present':False, 'check':False}, |
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'scipy' : {'website' : 'http://numpy.scipy.org/' , 'is_present' : False, 'check':False}, |
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'NeuroTools.facets.hdf5' : {'website' : None, 'is_present' : False, 'check':False}, |
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'srblib' : {'website' : 'http://www.sdsc.edu/srb/index.php/Python', 'is_present' : False, 'check':False}, |
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'rpy' : {'website' : 'http://rpy.sourceforge.net/', 'is_present' : False, 'check':False}, |
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} |
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def get_import_warning(name): |
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return ''' ----------------- Dependency Warning --------------------- |
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** %s ** package is not installed. |
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To have functions using %s please install the package. |
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website : %s |
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''' %(name, name, dependencies[name]['website']) |
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def get_runtime_warning(name, errmsg): |
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return ''' ----------------- Dependency Warning --------------------- |
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** %s ** package is installed but cannot be imported. The error message is: %s |
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''' %(name, errmsg) |
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def check_numpy_version(): |
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import numpy |
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numpy_version = numpy.__version__.split(".")[0:2] |
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numpy_version = float(".".join(numpy_version)) |
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if numpy_version >= 1.2: |
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return True |
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else: |
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return False |
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def check_pytables_version(): |
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if tables.__version__<= 2: |
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raise Exception('PyTables version must be >= 1.4, installed version is %s' % __version__) |
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def check_dependency(name): |
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if dependencies[name]['check']: |
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return dependencies[name]['is_present'] |
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else: |
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try: |
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exec("import %s" %name) |
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dependencies[name]['is_present'] = True |
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except ImportError: |
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print get_import_warning(name) |
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except RuntimeError, errmsg: |
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print get_runtime_warning(name, errmsg) |
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dependencies[name]['check'] = True |
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return dependencies[name]['is_present'] |
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red = 0010; green = 0020; yellow = 0030; blue = 0040; |
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magenta = 0050; cyan = 0060; bright = 0100 |
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try: |
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import ll.ansistyle |
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def colour(col,text): |
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return str(ll.ansistyle.Text(col,str(text))) |
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except ImportError: |
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def colour(col,text): |
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return text |
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import logging |
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logging.HEADER = 60 |
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logging.addLevelName(logging.HEADER, 'HEADER') |
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root = logging.getLogger() |
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def root_header(msg, *args, **kwargs): |
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if len(root.handlers) == 0: |
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basicConfig() |
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apply(root.header, (msg,)+args, kwargs) |
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def logger_header(self, msg, *args, **kwargs): |
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if self.manager.disable >= logging.HEADER: |
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return |
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if logging.HEADER >= self.getEffectiveLevel(): |
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apply(self._log, (logging.HEADER, msg, args), kwargs) |
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logging.Logger.header = logger_header |
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logging.header = root_header |
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class FancyFormatter(logging.Formatter): |
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""" |
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A log formatter that colours and indents the log message depending on the level. |
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""" |
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DEFAULT_COLOURS = { |
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'CRITICAL': bright+red, |
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'ERROR': red, |
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'WARNING': magenta, |
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'HEADER': bright+yellow, |
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'INFO': cyan, |
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'DEBUG': green |
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} |
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DEFAULT_INDENTS = { |
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'CRITICAL': "", |
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'ERROR': "", |
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'WARNING': "", |
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'HEADER': "", |
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'INFO': " ", |
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'DEBUG': " ", |
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} |
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def __init__(self, fmt=None, datefmt=None, colours=DEFAULT_COLOURS): |
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logging.Formatter.__init__(self, fmt, datefmt) |
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self._colours = colours |
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self._indents = FancyFormatter.DEFAULT_INDENTS |
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def format(self, record): |
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s = logging.Formatter.format(self, record) |
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if record.levelname == "HEADER": |
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s = "=== %s ===" % s |
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if self._colours: |
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s = colour(self._colours[record.levelname], s) |
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return self._indents[record.levelname] + s |
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def init_logging(filename, file_level=logging.INFO, console_level=logging.WARNING): |
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logging.basicConfig(level=file_level, |
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format='%(asctime)s %(levelname)s %(message)s', |
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filename=filename, |
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filemode='w') |
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console = logging.StreamHandler() |
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console.setLevel(console_level) |
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console.setFormatter(FancyFormatter('%(message)s')) |
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logging.getLogger('').addHandler(console) |
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