Source code for MDAnalysis.lib.util

# -*- Mode: python; tab-width: 4; indent-tabs-mode:nil; coding:utf-8 -*-
# vim: tabstop=4 expandtab shiftwidth=4 softtabstop=4
# MDAnalysis ---
# Copyright (c) 2006-2017 The MDAnalysis Development Team and contributors
# (see the file AUTHORS for the full list of names)
# Released under the GNU Public Licence, v2 or any higher version
# Please cite your use of MDAnalysis in published work:
# R. J. Gowers, M. Linke, J. Barnoud, T. J. E. Reddy, M. N. Melo, S. L. Seyler,
# D. L. Dotson, J. Domanski, S. Buchoux, I. M. Kenney, and O. Beckstein.
# MDAnalysis: A Python package for the rapid analysis of molecular dynamics
# simulations. In S. Benthall and S. Rostrup editors, Proceedings of the 15th
# Python in Science Conference, pages 102-109, Austin, TX, 2016. SciPy.
# doi: 10.25080/majora-629e541a-00e
# N. Michaud-Agrawal, E. J. Denning, T. B. Woolf, and O. Beckstein.
# MDAnalysis: A Toolkit for the Analysis of Molecular Dynamics Simulations.
# J. Comput. Chem. 32 (2011), 2319--2327, doi:10.1002/jcc.21787
Helper functions --- :mod:`MDAnalysis.lib.util`

Small helper functions that don't fit anywhere else.

.. versionchanged:: 0.11.0
   Moved mathematical functions into lib.mdamath

Files and directories

.. autofunction:: filename
.. autofunction:: openany
.. autofunction:: anyopen
.. autofunction:: greedy_splitext
.. autofunction:: which
.. autofunction:: realpath
.. autofunction:: get_ext
.. autofunction:: check_compressed_format
.. autofunction:: format_from_filename_extension
.. autofunction:: guess_format


Many of the readers are not restricted to just reading files. They can
also use gzip-compressed or bzip2-compressed files (through the
internal use of :func:`openany`). It is also possible to provide more
general streams as inputs, such as a :func:`cStringIO.StringIO`
instances (essentially, a memory buffer) by wrapping these instances
into a :class:`NamedStream`. This :class:`NamedStream` can then be
used in place of an ordinary file name (typically, with a
class:`~MDAnalysis.core.universe.Universe` but it is also possible to
*write* to such a stream using :func:`MDAnalysis.Writer`).

.. rubric: Examples

In the following example, we use a PDB stored as a string ``pdb_s``::

   import MDAnalysis
   from MDAnalysis.lib.util import NamedStream
   import cStringIO

   pdb_s = "TITLE     Lonely Ion\\nATOM      1  NA  NA+     1      81.260  64.982  10.926  1.00  0.00\\n"
   u = MDAnalysis.Universe(NamedStream(cStringIO.StringIO(pdb_s), "ion.pdb"))
   #  <Universe with 1 atoms>
   # [[ 81.26000214  64.98200226  10.92599964]]

It is important to provide a proper pseudo file name with the correct extension
(".pdb") to :class:`NamedStream` because the file type recognition uses the
extension of the file name to determine the file format or alternatively
provide the ``format="pdb"`` keyword argument to the

The use of streams becomes more interesting when MDAnalysis is used as glue
between different analysis packages and when one can arrange things so that
intermediate frames (typically in the PDB format) are not written to disk but
remain in memory via e.g. :mod:`cStringIO` buffers.

.. The following does *not* work because most readers need to
.. reopen files, which is not possible with http streams. Might
.. need to implement a buffer.
.. Read a test LAMMPS data file from the MDAnalysis repository::
..   import MDAnalysis
..   from MDAnalysis.lib.util import NamedStream
..   import urllib2
..   URI = ""
..   urldata = NamedStream(urllib2.urlopen(URI), "")
..   u = MDAnalysis.Universe(urldata)

.. Note::  A remote connection created by :func:`urllib2.urlopen` is not seekable
           and therefore will often not work as an input. But try it...

.. autoclass:: NamedStream

.. autofunction:: isstream

Containers and lists

.. autofunction:: iterable
.. autofunction:: asiterable
.. autofunction:: hasmethod
.. autoclass:: Namespace


.. autofunction:: unique_int_1d(values)
.. autofunction:: unique_rows
.. autofunction:: blocks_of

File parsing

.. autoclass:: FORTRANReader
.. autodata:: FORTRAN_format_regex

Data manipulation and handling

.. autofunction:: fixedwidth_bins
.. autofunction:: get_weights
.. autofunction:: ltruncate_int
.. autofunction:: flatten_dict


.. autofunction:: convert_aa_code
.. autofunction:: parse_residue
.. autofunction:: conv_float

Class decorators

.. autofunction:: cached

Function decorators

.. autofunction:: static_variables
.. autofunction:: warn_if_not_unique
.. autofunction:: check_coords

Code management

.. autofunction:: deprecate
.. autoclass:: _Deprecate
.. autofunction:: dedent_docstring

Data format checks

.. autofunction:: check_box

.. Rubric:: Footnotes

.. [#NamedStreamClose] The reason why :meth:`NamedStream.close` does
   not close a stream by default (but just rewinds it to the
   beginning) is so that one can use the class :class:`NamedStream` as
   a drop-in replacement for file names, which are often re-opened
   (e.g. when the same file is used as a topology and coordinate file
   or when repeatedly iterating through a trajectory in some
   implementations). The ``close=True`` keyword can be supplied in
   order to make :meth:`NamedStream.close` actually close the
   underlying stream and ``NamedStream.close(force=True)`` will also
   close it.
from __future__ import division, absolute_import
import six
from six.moves import range, map
import sys

__docformat__ = "restructuredtext en"

import os
import os.path
import errno
from contextlib import contextmanager
import bz2
import gzip
import re
import io
import warnings
import functools
from functools import wraps
import textwrap

import mmtf
import numpy as np

from numpy.testing import assert_equal
import inspect

from ..exceptions import StreamWarning, DuplicateWarning
    from ._cutil import unique_int_1d
except ImportError:
    raise ImportError("MDAnalysis not installed properly. "
                      "This can happen if your C extensions "
                      "have not been built.")

# Python 3.0, 3.1 do not have the builtin callable()
except NameError:
    import collections

    def callable(obj):
        return isinstance(obj, collections.Callable)

    from os import PathLike
except ImportError:
    class PathLike(object):

[docs]def filename(name, ext=None, keep=False): """Return a new name that has suffix attached; replaces other extensions. Parameters ---------- name : str or NamedStream filename; extension is replaced unless ``keep=True``; `name` can also be a :class:`NamedStream` (and its :attr:`` will be changed accordingly) ext : None or str extension to use in the new filename keep : bool - ``False``: replace existing extension with `ext`; - ``True``: keep old extension if one existed .. versionchanged:: 0.9.0 Also permits :class:`NamedStream` to pass through. """ if ext is not None: ext = ext.lower() if not ext.startswith(os.path.extsep): ext = os.path.extsep + ext root, origext = os.path.splitext(name) if not keep or len(origext) == 0: newname = root + ext if isstream(name): = newname else: name = newname return name if isstream(name) else str(name)
[docs]@contextmanager def openany(datasource, mode='rt', reset=True): """Context manager for :func:`anyopen`. Open the `datasource` and close it when the context of the :keyword:`with` statement exits. `datasource` can be a filename or a stream (see :func:`isstream`). A stream is reset to its start if possible (via :meth:`` or :meth:`~cString.StringIO.reset`). The advantage of this function is that very different input sources ("streams") can be used for a "file", ranging from files on disk (including compressed files) to open file objects to sockets and strings---as long as they have a file-like interface. Parameters ---------- datasource : a file or a stream mode : {'r', 'w'} (optional) open in r(ead) or w(rite) mode reset : bool (optional) try to read (`mode` 'r') the stream from the start [``True``] Examples -------- Open a gzipped file and process it line by line:: with openany("input.pdb.gz") as pdb: for line in pdb: if line.startswith('ATOM'): print(line) Open a URL and read it:: import urllib2 with openany(urllib2.urlopen("")) as html: print( See Also -------- :func:`anyopen` """ stream = anyopen(datasource, mode=mode, reset=reset) try: yield stream finally: stream.close()
# On python 3, we want to use to open and uncompress bz2 files. That # function allows to specify the type of the uncompressed file (bytes ot text). # The function does not exist in python 2, thus we must use bz2.BZFile to # which we cannot tell if the uncompressed file contains bytes or text. # Therefore, on python 2 we use a proxy function that removes the type of the # uncompressed file from the `mode` argument. try: except AttributeError: # We are on python 2 and is not available def bz2_open(filename, mode): """Open and uncompress a BZ2 file""" mode = mode.replace('t', '').replace('b', '') return bz2.BZ2File(filename, mode) else: # We are on python 3 so we can use bz2_open =
[docs]def anyopen(datasource, mode='rt', reset=True): """Open datasource (gzipped, bzipped, uncompressed) and return a stream. `datasource` can be a filename or a stream (see :func:`isstream`). By default, a stream is reset to its start if possible (via :meth:`` or :meth:`~cString.StringIO.reset`). If possible, the attribute ```` is set to the filename or "<stream>" if no filename could be associated with the *datasource*. Parameters ---------- datasource a file (from :class:`file` or :func:`open`) or a stream (e.g. from :func:`urllib2.urlopen` or :class:`cStringIO.StringIO`) mode: {'r', 'w', 'a'} (optional) Open in r(ead), w(rite) or a(ppen) mode. More complicated modes ('r+', 'w+', ...) are not supported; only the first letter of `mode` is used and thus any additional modifiers are silently ignored. reset: bool (optional) try to read (`mode` 'r') the stream from the start Returns ------- file-like object See Also -------- :func:`openany` to be used with the :keyword:`with` statement. .. versionchanged:: 0.9.0 Only returns the ``stream`` and tries to set `` = filename`` instead of the previous behavior to return a tuple ``(stream, filename)``. """ handlers = {'bz2': bz2_open, 'gz':, '': open} if mode.startswith('r'): if isstream(datasource): stream = datasource try: filename = str( # maybe that does not always work? except AttributeError: filename = "<stream>" if reset: try: stream.reset() except (AttributeError, IOError): try: except (AttributeError, IOError): warnings.warn("Stream {0}: not guaranteed to be at the beginning." "".format(filename), category=StreamWarning) else: stream = None filename = datasource for ext in ('bz2', 'gz', ''): # file == '' should be last openfunc = handlers[ext] stream = _get_stream(datasource, openfunc, mode=mode) if stream is not None: break if stream is None: raise IOError(errno.EIO, "Cannot open file or stream in mode={mode!r}.".format(**vars()), repr(filename)) elif mode.startswith('w') or mode.startswith('a'): # append 'a' not tested... if isstream(datasource): stream = datasource try: filename = str( # maybe that does not always work? except AttributeError: filename = "<stream>" else: stream = None filename = datasource name, ext = os.path.splitext(filename) if ext.startswith('.'): ext = ext[1:] if not ext in ('bz2', 'gz'): ext = '' # anything else but bz2 or gz is just a normal file openfunc = handlers[ext] stream = openfunc(datasource, mode=mode) if stream is None: raise IOError(errno.EIO, "Cannot open file or stream in mode={mode!r}.".format(**vars()), repr(filename)) else: raise NotImplementedError("Sorry, mode={mode!r} is not implemented for {datasource!r}".format(**vars())) try: = filename except (AttributeError, TypeError): pass # can't set name (e.g. cStringIO.StringIO) return stream
def _get_stream(filename, openfunction=open, mode='r'): """Return open stream if *filename* can be opened with *openfunction* or else ``None``.""" try: stream = openfunction(filename, mode=mode) except (IOError, OSError) as err: # An exception might be raised due to two reasons, first the openfunction is unable to open the file, in this # case we have to ignore the error and return None. Second is when openfunction can't open the file because # either the file isn't there or the permissions don't allow access. if errno.errorcode[err.errno] in ['ENOENT', 'EACCES']: six.reraise(*sys.exc_info()) return None if mode.startswith('r'): # additional check for reading (eg can we uncompress) --- is this needed? try: stream.readline() except IOError: stream.close() stream = None except: stream.close() raise else: stream.close() stream = openfunction(filename, mode=mode) return stream
[docs]def greedy_splitext(p): """Split extension in path *p* at the left-most separator. Extensions are taken to be separated from the filename with the separator :data:`os.extsep` (as used by :func:`os.path.splitext`). Arguments --------- p : str path Returns ------- (root, extension) : tuple where ``root`` is the full path and filename with all extensions removed whereas ``extension`` is the string of all extensions. Example ------- >>> greedy_splitext("/home/joe/protein.pdb.bz2") ('/home/joe/protein', '.pdb.bz2') """ path, root = os.path.split(p) extension = '' while True: root, ext = os.path.splitext(root) extension = ext + extension if not ext: break return os.path.join(path, root), extension
[docs]def hasmethod(obj, m): """Return ``True`` if object *obj* contains the method *m*.""" return hasattr(obj, m) and callable(getattr(obj, m))
[docs]def isstream(obj): """Detect if `obj` is a stream. We consider anything a stream that has the methods - ``close()`` and either set of the following - ``read()``, ``readline()``, ``readlines()`` - ``write()``, ``writeline()``, ``writelines()`` Parameters ---------- obj : stream or str Returns ------- bool ``True`` if `obj` is a stream, ``False`` otherwise See Also -------- :mod:`io` .. versionadded:: 0.9.0 """ signature_methods = ("close",) alternative_methods = ( ("read", "readline", "readlines"), ("write", "writeline", "writelines")) # Must have ALL the signature methods for m in signature_methods: if not hasmethod(obj, m): return False # Must have at least one complete set of alternative_methods alternative_results = [ np.all([hasmethod(obj, m) for m in alternatives]) for alternatives in alternative_methods] return np.any(alternative_results)
[docs]def which(program): """Determine full path of executable `program` on :envvar:`PATH`. (Jay at Parameters ---------- programe : str name of the executable Returns ------- path : str or None absolute path to the executable if it can be found, else ``None`` """ def is_exe(fpath): return os.path.isfile(fpath) and os.access(fpath, os.X_OK) fpath, fname = os.path.split(program) if fpath: real_program = realpath(program) if is_exe(real_program): return real_program else: for path in os.environ["PATH"].split(os.pathsep): exe_file = os.path.join(path, program) if is_exe(exe_file): return exe_file return None
[docs]@functools.total_ordering class NamedStream(io.IOBase, PathLike): """Stream that also provides a (fake) name. By wrapping a stream `stream` in this class, it can be passed to code that uses inspection of the filename to make decisions. For instance. :func:`os.path.split` will work correctly on a :class:`NamedStream`. The class can be used as a context manager. :class:`NamedStream` is derived from :class:`io.IOBase` (to indicate that it is a stream). Many operations that normally expect a string will also work with a :class:`NamedStream`; for instance, most of the functions in :mod:`os.path` will work with the exception of :func:`os.path.expandvars` and :func:`os.path.expanduser`, which will return the :class:`NamedStream` itself instead of a string if no substitutions were made. Example ------- Wrap a :func:`cStringIO.StringIO` instance to write to:: import cStringIO import os.path stream = cStringIO.StringIO() f = NamedStream(stream, "output.pdb") print(os.path.splitext(f)) Wrap a :class:`file` instance to read from:: stream = open("input.pdb") f = NamedStream(stream, Use as a context manager (closes stream automatically when the :keyword:`with` block is left):: with NamedStream(open("input.pdb"), "input.pdb") as f: # use f print f.closed # --> False # ... print f.closed # --> True Note ---- This class uses its own :meth:`__getitem__` method so if `stream` implements :meth:`stream.__getitem__` then that will be masked and this class should not be used. Warning ------- By default, :meth:`NamedStream.close` will **not close the stream** but instead :meth:`~NamedStream.reset` it to the beginning. [#NamedStreamClose]_ Provide the ``force=True`` keyword to :meth:`NamedStream.close` to always close the stream. """ def __init__(self, stream, filename, reset=True, close=False): """Initialize the :class:`NamedStream` from a `stream` and give it a `name`. The constructor attempts to rewind the stream to the beginning unless the keyword `reset` is set to ``False``. If rewinding fails, a :class:`MDAnalysis.StreamWarning` is issued. Parameters ---------- stream : stream an open stream (e.g. :class:`file` or :func:`cStringIO.StringIO`) filename : str the filename that should be associated with the stream reset : bool (optional) start the stream from the beginning (either :meth:`reset` or :meth:`seek`) when the class instance is constructed close : bool (optional) close the stream when a :keyword:`with` block exits or when :meth:`close` is called; note that the default is **not to close the stream** Notes ----- By default, this stream will *not* be closed by :keyword:`with` and :meth:`close` (see there) unless the `close` keyword is set to ``True``. .. versionadded:: 0.9.0 """ # constructing the class from an instance of itself has weird behavior # on __del__ and super on python 3. Let's warn the user and ensure the # class works normally. if isinstance(stream, NamedStream): warnings.warn("Constructed NamedStream from a NamedStream", RuntimeWarning) stream = = stream = filename self.close_stream = close if reset: self.reset()
[docs] def reset(self): """Move to the beginning of the stream""" # try to rewind try: # e.g. StreamIO except (AttributeError, IOError): try: # typical file objects except (AttributeError, IOError): warnings.warn("NamedStream {0}: not guaranteed to be at the beginning." "".format(, category=StreamWarning)
# access the stream def __getattr__(self, x): try: return getattr(, x) except AttributeError: return getattr(, x) def __iter__(self): return iter( def __next__(self): return def __enter__(self): # do not call the stream's __enter__ because the stream is already open return self def __exit__(self, *args): # NOTE: By default (close=False) we only reset the stream and NOT close it; this makes # it easier to use it as a drop-in replacement for a filename that might # be opened repeatedly (at least in MDAnalysis) #try: # return*args) #except AttributeError: # super(NamedStream, self).__exit__(*args) self.close() def __fspath__(self): return # override more IOBase methods, as these are provided by IOBase and are not # caught with __getattr__ (ugly...)
[docs] def close(self, force=False): """Reset or close the stream. If :attr:`NamedStream.close_stream` is set to ``False`` (the default) then this method will *not close the stream* and only :meth:`reset` it. If the *force* = ``True`` keyword is provided, the stream will be closed. .. Note:: This ``close()`` method is non-standard. ``del NamedStream`` always closes the underlying stream. """ if self.close_stream or force: try: return except AttributeError: return super(NamedStream, self).close() else: self.flush() self.reset()
def __del__(self): """Always closes the stream.""" self.close(force=True) @property def closed(self): """``True`` if stream is closed.""" try: return except AttributeError: return super(NamedStream, self).closed
[docs] def seek(self, offset, whence=os.SEEK_SET): """Change the stream position to the given byte `offset` . Parameters ---------- offset : int `offset` is interpreted relative to the position indicated by `whence`. whence : {0, 1, 2} (optional) Values for `whence` are: - :data:`io.SEEK_SET` or 0 – start of the stream (the default); `offset` should be zero or positive - :data:`io.SEEK_CUR` or 1 – current stream position; `offset` may be negative - :data:`io.SEEK_END` or 2 – end of the stream; `offset` is usually negative Returns ------- int the new absolute position in bytes. """ try: return, whence) # no kw except AttributeError: return super(NamedStream, self).seek(offset, whence)
[docs] def tell(self): """Return the current stream position.""" try: return except AttributeError: return super(NamedStream, self).tell()
[docs] def truncate(self, *size): """Truncate the stream's size to `size`. Parameters ---------- size : int (optional) The `size` defaults to the current position (if no `size` argument is supplied). The current file position is not changed. """ try: return*size) except AttributeError: return super(NamedStream, self).truncate(*size)
[docs] def seekable(self): """Return ``True`` if the stream supports random access. If ``False``, :meth:`seek`, :meth:`tell` and :meth:`truncate` will raise :exc:`IOError`. """ try: return except AttributeError: return super(NamedStream, self).seekable()
[docs] def readable(self): """Return ``True`` if the stream can be read from. If ``False``, :meth:`read` will raise :exc:`IOError`. """ try: return except AttributeError: return super(NamedStream, self).readable()
[docs] def writable(self): """Return ``True`` if the stream can be written to. If ``False``, :meth:`write` will raise :exc:`IOError`. """ try: return except AttributeError: return super(NamedStream, self).writable()
[docs] def flush(self): """Flush the write buffers of the stream if applicable. This does nothing for read-only and non-blocking streams. For file objects one also needs to call :func:`os.fsync` to write contents to disk. """ try: return except AttributeError: return super(NamedStream, self).flush()
[docs] def fileno(self): """Return the underlying file descriptor (an integer) of the stream if it exists. An :exc:`IOError` is raised if the IO object does not use a file descriptor. """ try: return except AttributeError: # IOBase.fileno does not raise IOError as advertised so we do this here six.raise_from( IOError("This NamedStream does not use a file descriptor."), None)
[docs] def readline(self): try: return except AttributeError: return super(NamedStream, self).readline()
# fake the important parts of the string API # (other methods such as rfind() are automatically dealt with via __getattr__) def __getitem__(self, x): return[x] def __eq__(self, x): return == x def __ne__(self, x): return not self == x def __lt__(self, x): return < x def __len__(self): return len( def __add__(self, x): return + x def __radd__(self, x): return x + def __mul__(self, x): return * x __rmul__ = __mul__ def __format__(self, format_spec): return def __str__(self): return def __repr__(self): return "<NamedStream({0}, {1})>".format(,
[docs]def realpath(*args): """Join all args and return the real path, rooted at ``/``. Expands '~', '~user', and environment variables such as :envvar:`$HOME`. Returns ``None`` if any of the args is ``None``. """ if None in args: return None return os.path.realpath(os.path.expanduser(os.path.expandvars(os.path.join(*args))))
[docs]def get_ext(filename): """Return the lower-cased extension of `filename` without a leading dot. Parameters ---------- filename : str Returns ------- root : str ext : str """ root, ext = os.path.splitext(filename) if ext.startswith(os.extsep): ext = ext[1:] return root, ext.lower()
[docs]def check_compressed_format(root, ext): """Check if this is a supported gzipped/bzip2ed file format and return UPPERCASE format. Parameters ---------- root : str path of a file, without extension `ext` ext : str extension (currently only "bz2" and "gz" are recognized as compressed formats) Returns ------- format : str upper case format extension *if* the compression can be handled by :func:`openany` See Also -------- openany : function that is used to open and decompress formats on the fly; only compression formats implemented in :func:`openany` are recognized """ # XYZReader&others are setup to handle both plain and compressed (bzip2, gz) files # if the first file extension is bzip2 or gz, look at the one to the left of it if ext.lower() in ("bz2", "gz"): try: root, ext = get_ext(root) except Exception: six.raise_from( TypeError("Cannot determine coordinate format for '{0}.{1}'" "".format(root, ext)), None) return ext.upper()
[docs]def format_from_filename_extension(filename): """Guess file format from the file extension. Parameters ---------- filename : str Returns ------- format : str Raises ------ TypeError if the file format cannot be determined """ try: root, ext = get_ext(filename) except Exception: six.raise_from(TypeError( "Cannot determine file format for file '{0}'.\n" " You can set the format explicitly with " "'Universe(..., format=FORMAT)'.".format(filename)), None) format = check_compressed_format(root, ext) return format
[docs]def guess_format(filename): """Return the format of `filename` The current heuristic simply looks at the filename extension and can work around compressed format extensions. Parameters ---------- filename : str or stream path to the file or a stream, in which case ```` is looked at for a hint to the format Returns ------- format : str format specifier (upper case) Raises ------ ValueError if the heuristics are insufficient to guess a supported format .. versionadded:: 0.11.0 Moved into lib.util """ if isstream(filename): # perhaps StringIO or open stream try: format = format_from_filename_extension( except AttributeError: # format is None so we need to complain: six.raise_from( ValueError("guess_format requires an explicit format specifier " "for stream {0}".format(filename)), None) else: # iterator, list, filename: simple extension checking... something more # complicated is left for the ambitious. # Note: at the moment the upper-case extension *is* the format specifier # and list of filenames is handled by ChainReader format = (format_from_filename_extension(filename) if not iterable(filename) else 'CHAIN') return format.upper()
[docs]def iterable(obj): """Returns ``True`` if `obj` can be iterated over and is *not* a string nor a :class:`NamedStream`""" if isinstance(obj, (six.string_types, NamedStream)): return False # avoid iterating over characters of a string if hasattr(obj, 'next'): return True # any iterator will do try: len(obj) # anything else that might work except (TypeError, AttributeError): return False return True
[docs]def asiterable(obj): """Returns `obj` so that it can be iterated over. A string is *not* detected as and iterable and is wrapped into a :class:`list` with a single element. See Also -------- iterable """ if not iterable(obj): obj = [obj] return obj
#: Regular expresssion (see :mod:`re`) to parse a simple `FORTRAN edit descriptor`_. #: ``(?P<repeat>\d?)(?P<format>[IFELAX])(?P<numfmt>(?P<length>\d+)(\.(?P<decimals>\d+))?)?`` #: #: .. _FORTRAN edit descriptor: FORTRAN_format_regex = "(?P<repeat>\d+?)(?P<format>[IFEAX])(?P<numfmt>(?P<length>\d+)(\.(?P<decimals>\d+))?)?" _FORTRAN_format_pattern = re.compile(FORTRAN_format_regex) def strip(s): """Convert `s` to a string and return it white-space stripped.""" return str(s).strip() class FixedcolumnEntry(object): """Represent an entry at specific fixed columns. Reads from line[start:stop] and converts according to typespecifier. """ convertors = {'I': int, 'F': float, 'E': float, 'A': strip} def __init__(self, start, stop, typespecifier): """ Parameters ---------- start : int first column stop : int last column + 1 typespecifier : str 'I': int, 'F': float, 'E': float, 'A': stripped string The start/stop arguments follow standard Python convention in that they are 0-based and that the *stop* argument is not included. """ self.start = start self.stop = stop self.typespecifier = typespecifier self.convertor = self.convertors[typespecifier] def read(self, line): """Read the entry from `line` and convert to appropriate type.""" try: return self.convertor(line[self.start:self.stop]) except ValueError: six.raise_from( ValueError( "{0!r}: Failed to read&convert {1!r}".format( self, line[self.start:self.stop])), None) def __len__(self): """Length of the field in columns (stop - start)""" return self.stop - self.start def __repr__(self): return "FixedcolumnEntry({0:d},{1:d},{2!r})".format(self.start, self.stop, self.typespecifier)
[docs]class FORTRANReader(object): """FORTRANReader provides a method to parse FORTRAN formatted lines in a file. The contents of lines in a file can be parsed according to FORTRAN format edit descriptors (see `Fortran Formats`_ for the syntax). Only simple one-character specifiers supported here: *I F E A X* (see :data:`FORTRAN_format_regex`). Strings are stripped of leading and trailing white space. .. _`Fortran Formats`: .. _`Fortran Formats (URL)`: """ def __init__(self, fmt): """Set up the reader with the FORTRAN format string. The string `fmt` should look like '2I10,2X,A8,2X,A8,3F20.10,2X,A8,2X,A8,F20.10'. Parameters ---------- fmt : str FORTRAN format edit descriptor for a line as described in `Fortran Formats`_ Example ------- Parsing of a standard CRD file:: atomformat = FORTRANReader('2I10,2X,A8,2X,A8,3F20.10,2X,A8,2X,A8,F20.10') for line in open('coordinates.crd'): serial,TotRes,resName,name,x,y,z,chainID,resSeq,tempFactor = """ self.fmt = fmt.split(',') descriptors = [self.parse_FORTRAN_format(descriptor) for descriptor in self.fmt] start = 0 self.entries = [] for d in descriptors: if d['format'] != 'X': for x in range(d['repeat']): stop = start + d['length'] self.entries.append(FixedcolumnEntry(start, stop, d['format'])) start = stop else: start += d['totallength']
[docs] def read(self, line): """Parse `line` according to the format string and return list of values. Values are converted to Python types according to the format specifier. Parameters ---------- line : str Returns ------- list list of entries with appropriate types Raises ------ ValueError Any of the conversions cannot be made (e.g. space for an int) See Also -------- :meth:`FORTRANReader.number_of_matches` """ return [ for e in self.entries]
[docs] def number_of_matches(self, line): """Return how many format entries could be populated with legal values.""" # not optimal, I suppose... matches = 0 for e in self.entries: try: matches += 1 except ValueError: pass return matches
[docs] def parse_FORTRAN_format(self, edit_descriptor): """Parse the descriptor. Parameters ---------- edit_descriptor : str FORTRAN format edit descriptor Returns ------- dict dict with totallength (in chars), repeat, length, format, decimals Raises ------ ValueError The `edit_descriptor` is not recognized and cannot be parsed Note ---- Specifiers: *L ES EN T TL TR / r S SP SS BN BZ* are *not* supported, and neither are the scientific notation *Ew.dEe* forms. """ m = _FORTRAN_format_pattern.match(edit_descriptor.upper()) if m is None: try: m = _FORTRAN_format_pattern.match("1" + edit_descriptor.upper()) if m is None: raise ValueError # really no idea what the descriptor is supposed to mean except: raise ValueError("unrecognized FORTRAN format {0!r}".format(edit_descriptor)) d = m.groupdict() if d['repeat'] == '': d['repeat'] = 1 if d['format'] == 'X': d['length'] = 1 for k in ('repeat', 'length', 'decimals'): try: d[k] = int(d[k]) except ValueError: # catches '' d[k] = 0 except TypeError: # keep None pass d['totallength'] = d['repeat'] * d['length'] return d
def __len__(self): """Returns number of entries.""" return len(self.entries) def __repr__(self): return self.__class__.__name__ + "(" + ",".join(self.fmt) + ")"
[docs]def fixedwidth_bins(delta, xmin, xmax): """Return bins of width `delta` that cover `xmin`, `xmax` (or a larger range). The bin parameters are computed such that the bin size `delta` is guaranteed. In order to achieve this, the range `[xmin, xmax]` can be increased. Bins can be calculated for 1D data (then all parameters are simple floats) or nD data (then parameters are supplied as arrays, with each entry correpsonding to one dimension). Parameters ---------- delta : float or array_like desired spacing of the bins xmin : float or array_like lower bound (left boundary of first bin) xmax : float or array_like upper bound (right boundary of last bin) Returns ------- dict The dict contains 'Nbins', 'delta', 'min', and 'max'; these are either floats or arrays, depending on the input. Example ------- Use with :func:`numpy.histogram`:: B = fixedwidth_bins(delta, xmin, xmax) h, e = np.histogram(data, bins=B['Nbins'], range=(B['min'], B['max'])) """ if not np.all(xmin < xmax): raise ValueError('Boundaries are not sane: should be xmin < xmax.') _delta = np.asarray(delta, dtype=np.float_) _xmin = np.asarray(xmin, dtype=np.float_) _xmax = np.asarray(xmax, dtype=np.float_) _length = _xmax - _xmin N = np.ceil(_length / _delta).astype(np.int_) # number of bins dx = 0.5 * (N * _delta - _length) # add half of the excess to each end return {'Nbins': N, 'delta': _delta, 'min': _xmin - dx, 'max': _xmax + dx}
[docs]def get_weights(atoms, weights): """Check that a `weights` argument is compatible with `atoms`. Parameters ---------- atoms : AtomGroup or array_like The atoms that the `weights` should be applied to. Typically this is a :class:`AtomGroup` but because only the length is compared, any sequence for which ``len(atoms)`` is defined is acceptable. weights : {"mass", None} or array_like All MDAnalysis functions or classes understand "mass" and will then use ``atoms.masses``. ``None`` indicates equal weights for all atoms. Using an ``array_like`` assigns a custom weight to each element of `atoms`. Returns ------- weights : array_like or None If "mass" was selected, ``atoms.masses`` is returned, otherwise the value of `weights` (which can be ``None``). Raises ------ TypeError If `weights` is not one of the allowed values or if "mass" is selected but ``atoms.masses`` is not available. ValueError If `weights` is not a 1D array with the same length as `atoms`, then the exception is raised. :exc:`TypeError` is also raised if ``atoms.masses`` is not defined. """ if not iterable(weights) and weights == "mass": try: weights = atoms.masses except AttributeError: six.raise_from( TypeError("weights='mass' selected but atoms.masses is missing"), None) if iterable(weights): if len(np.asarray(weights).shape) != 1: raise ValueError("weights must be a 1D array, not with shape " "{0}".format(np.asarray(weights).shape)) elif len(weights) != len(atoms): raise ValueError("weights (length {0}) must be of same length as " "the atoms ({1})".format( len(weights), len(atoms))) elif weights is not None: raise ValueError("weights must be {'mass', None} or an iterable of the " "same size as the atomgroup.") return weights
# String functions # ---------------- #: translation table for 3-letter codes --> 1-letter codes #: .. SeeAlso:: :data:`alternative_inverse_aa_codes` canonical_inverse_aa_codes = { 'ALA': 'A', 'CYS': 'C', 'ASP': 'D', 'GLU': 'E', 'PHE': 'F', 'GLY': 'G', 'HIS': 'H', 'ILE': 'I', 'LYS': 'K', 'LEU': 'L', 'MET': 'M', 'ASN': 'N', 'PRO': 'P', 'GLN': 'Q', 'ARG': 'R', 'SER': 'S', 'THR': 'T', 'VAL': 'V', 'TRP': 'W', 'TYR': 'Y'} #: translation table for 1-letter codes --> *canonical* 3-letter codes. #: The table is used for :func:`convert_aa_code`. amino_acid_codes = {one: three for three, one in canonical_inverse_aa_codes.items()} #: non-default charge state amino acids or special charge state descriptions #: (Not fully synchronized with :class:`MDAnalysis.core.selection.ProteinSelection`.) alternative_inverse_aa_codes = { 'HISA': 'H', 'HISB': 'H', 'HSE': 'H', 'HSD': 'H', 'HID': 'H', 'HIE': 'H', 'HIS1': 'H', 'HIS2': 'H', 'ASPH': 'D', 'ASH': 'D', 'GLUH': 'E', 'GLH': 'E', 'LYSH': 'K', 'LYN': 'K', 'ARGN': 'R', 'CYSH': 'C', 'CYS1': 'C', 'CYS2': 'C'} #: lookup table from 3/4 letter resnames to 1-letter codes. Note that non-standard residue names #: for tautomers or different protonation states such as HSE are converted to canonical 1-letter codes ("H"). #: The table is used for :func:`convert_aa_code`. #: .. SeeAlso:: :data:`canonical_inverse_aa_codes` and :data:`alternative_inverse_aa_codes` inverse_aa_codes = {} inverse_aa_codes.update(canonical_inverse_aa_codes) inverse_aa_codes.update(alternative_inverse_aa_codes)
[docs]def convert_aa_code(x): """Converts between 3-letter and 1-letter amino acid codes. Parameters ---------- x : str 1-letter or 3-letter amino acid code Returns ------- str 3-letter or 1-letter amino acid code Raises ------ ValueError No conversion can be made; the amino acid code is not defined. Note ---- Data are defined in :data:`amino_acid_codes` and :data:`inverse_aa_codes`. """ if len(x) == 1: d = amino_acid_codes else: d = inverse_aa_codes try: return d[x.upper()] except KeyError: six.raise_from( ValueError( "No conversion for {0} found (1 letter -> 3 letter or 3/4 letter -> 1 letter)".format(x) ), None)
#: Regular expression to match and parse a residue-atom selection; will match #: "LYS300:HZ1" or "K300:HZ1" or "K300" or "4GB300:H6O" or "4GB300" or "YaA300". RESIDUE = re.compile(""" (?P<aa>([ACDEFGHIKLMNPQRSTVWY]) # 1-letter amino acid | # or ([0-9A-Z][a-zA-Z][A-Z][A-Z]?) # 3-letter or 4-letter residue name ) \s* # white space allowed (?P<resid>\d+) # resid \s* (: # separator ':' \s* (?P<atom>\w+) # atom name )? # possibly one """, re.VERBOSE | re.IGNORECASE) # from GromacsWrapper cbook.IndexBuilder
[docs]def parse_residue(residue): """Process residue string. Parameters ---------- residue: str The *residue* must contain a 1-letter or 3-letter or 4-letter residue string, a number (the resid) and optionally an atom identifier, which must be separate from the residue with a colon (":"). White space is allowed in between. Returns ------- tuple `(3-letter aa string, resid, atomname)`; known 1-letter aa codes are converted to 3-letter codes Examples -------- - "LYS300:HZ1" --> ("LYS", 300, "HZ1") - "K300:HZ1" --> ("LYS", 300, "HZ1") - "K300" --> ("LYS", 300, None) - "4GB300:H6O" --> ("4GB", 300, "H6O") - "4GB300" --> ("4GB", 300, None) """ # XXX: use _translate_residue() .... m = RESIDUE.match(residue) if not m: raise ValueError("Selection {residue!r} is not valid (only 1/3/4 letter resnames, resid required).".format(**vars())) resid = int('resid')) residue ='aa') if len(residue) == 1: resname = convert_aa_code(residue) # only works for AA else: resname = residue # use 3-letter for any resname atomname ='atom') return (resname, resid, atomname)
[docs]def conv_float(s): """Convert an object `s` to float if possible. Function to be passed into :func:`map` or a list comprehension. If the argument can be interpreted as a float it is converted, otherwise the original object is passed back. """ try: return float(s) except ValueError: return s
[docs]def cached(key): """Cache a property within a class. Requires the Class to have a cache dict called ``_cache``. Example ------- How to add a cache for a variable to a class by using the `@cached` decorator:: class A(object): def__init__(self): self._cache = dict() @property @cached('keyname') def size(self): # This code gets ran only if the lookup of keyname fails # After this code has been ran once, the result is stored in # _cache with the key: 'keyname' size = 10.0 .. versionadded:: 0.9.0 """ def cached_lookup(func): @wraps(func) def wrapper(self, *args, **kwargs): try: return self._cache[key] except KeyError: self._cache[key] = ret = func(self, *args, **kwargs) return ret return wrapper return cached_lookup
[docs]def unique_rows(arr, return_index=False): """Return the unique rows of an array. Arguments --------- arr : numpy.ndarray Array of shape ``(n1, m)``. return_index : bool, optional If ``True``, returns indices of array that formed answer (see :func:`numpy.unique`) Returns ------- unique_rows : numpy.ndarray Array of shape ``(n2, m)`` containing only the unique rows of `arr`. r_idx : numpy.ndarray (optional) Array containing the corresponding row indices (if `return_index` is ``True``). Examples -------- Remove dupicate rows from an array: >>> a = np.array([[0, 1], [1, 2], [1, 2], [0, 1], [2, 3]]) >>> b = unique_rows(a) >>> b array([[0, 1], [1, 2], [2, 3]]) See Also -------- numpy.unique """ # From here, but adapted to handle any size rows # # This seems to fail if arr.flags['OWNDATA'] is False # this can occur when second dimension was created through broadcasting # eg: idx = np.array([1, 2])[None, :] if not arr.flags['OWNDATA']: arr = arr.copy() m = arr.shape[1] if return_index: u, r_idx = np.unique(arr.view(dtype=np.dtype([(str(i), arr.dtype) for i in range(m)])), return_index=True) return u.view(arr.dtype).reshape(-1, m), r_idx else: u = np.unique(arr.view( dtype=np.dtype([(str(i), arr.dtype) for i in range(m)]) )) return u.view(arr.dtype).reshape(-1, m)
[docs]def blocks_of(a, n, m): """Extract a view of ``(n, m)`` blocks along the diagonal of the array `a`. Parameters ---------- a : numpy.ndarray Input array, must be C contiguous and at least 2D. n : int Size of block in first dimension. m : int Size of block in second dimension. Returns ------- view : numpy.ndarray A view of the original array with shape ``(nblocks, n, m)``, where ``nblocks`` is the number of times the miniblocks of shape ``(n, m)`` fit in the original. Raises ------ ValueError If the supplied `n` and `m` don't divide `a` into an integer number of blocks or if `a` is not C contiguous. Examples -------- >>> arr = np.arange(16).reshape(4, 4) >>> view = blocks_of(arr, 2, 2) >>> view[:] = 100 >>> arr array([[100, 100, 2, 3], [100, 100, 6, 7], [ 8, 9, 100, 100], [ 12, 13, 100, 100]]) Notes ----- `n`, `m` must divide `a` into an identical integer number of blocks. Please note that if the block size is larger than the input array, this number will be zero, resulting in an empty view! Uses strides and therefore requires that the array is C contiguous. Returns a view, so editing this modifies the original array. .. versionadded:: 0.12.0 """ # based on: # # but generalised to handle non square blocks. if not a.flags['C_CONTIGUOUS']: raise ValueError("Input array is not C contiguous.") nblocks = a.shape[0] // n nblocks2 = a.shape[1] // m if not nblocks == nblocks2: raise ValueError("Must divide into same number of blocks in both" " directions. Got {} by {}" "".format(nblocks, nblocks2)) new_shape = (nblocks, n, m) new_strides = (n * a.strides[0] + m * a.strides[1], a.strides[0], a.strides[1]) return np.lib.stride_tricks.as_strided(a, new_shape, new_strides)
[docs]class Namespace(dict): """Class to allow storing attributes in new namespace. """ def __getattr__(self, key): # a.this causes a __getattr__ call for key = 'this' try: return dict.__getitem__(self, key) except KeyError: six.raise_from(AttributeError('"{}" is not known in the namespace.' .format(key)), None) def __setattr__(self, key, value): dict.__setitem__(self, key, value) def __delattr__(self, key): try: dict.__delitem__(self, key) except KeyError: six.raise_from( AttributeError('"{}" is not known in the namespace.' .format(key)), None) def __eq__(self, other): try: # this'll allow us to compare if we're storing arrays assert_equal(self, other) except AssertionError: return False return True
[docs]def ltruncate_int(value, ndigits): """Truncate an integer, retaining least significant digits Parameters ---------- value : int value to truncate ndigits : int number of digits to keep Returns ------- truncated : int only the `ndigits` least significant digits from `value` Examples -------- >>> ltruncate_int(123, 2) 23 >>> ltruncate_int(1234, 5) 1234 """ return int(str(value)[-ndigits:])
[docs]def flatten_dict(d, parent_key=tuple()): """Flatten a nested dict `d` into a shallow dict with tuples as keys. Parameters ---------- d : dict Returns ------- dict Note ----- Based on by user .. versionadded:: 0.18.0 """ items = [] for k, v in d.items(): if type(k) != tuple: new_key = parent_key + (k, ) else: new_key = parent_key + k if isinstance(v, dict): items.extend(flatten_dict(v, new_key).items()) else: items.append((new_key, v)) return dict(items)
[docs]def static_variables(**kwargs): """Decorator equipping functions or methods with static variables. Static variables are declared and initialized by supplying keyword arguments and initial values to the decorator. Example ------- >>> @static_variables(msg='foo calls', calls=0) ... def foo(): ... foo.calls += 1 ... print("{}: {}".format(foo.msg, foo.calls)) ... >>> foo() foo calls: 1 >>> foo() foo calls: 2 .. note:: Based on by `Claudiu <>`_ .. versionadded:: 0.19.0 """ def static_decorator(func): for kwarg in kwargs: setattr(func, kwarg, kwargs[kwarg]) return func return static_decorator
# In a lot of Atom/Residue/SegmentGroup methods such as center_of_geometry() and # the like, results are biased if the calling group is not unique, i.e., if it # contains duplicates. # We therefore raise a `DuplicateWarning` whenever an affected method is called # from a non-unique group. Since several of the affected methods involve calls # to other affected methods, simply raising a warning in every affected method # would potentially lead to a massive amount of warnings. This is exactly where # the `warn_if_unique` decorator below comes into play. It ensures that a # warning is only raised once for a method using this decorator, and suppresses # all such warnings that would potentially be raised in methods called by that # method. Of course, as it is generally the case with Python warnings, this is # *not threadsafe*.
[docs]@static_variables(warned=False) def warn_if_not_unique(groupmethod): """Decorator triggering a :class:`~MDAnalysis.exceptions.DuplicateWarning` if the underlying group is not unique. Assures that during execution of the decorated method only the first of potentially multiple warnings concerning the uniqueness of groups is shown. Raises ------ :class:`~MDAnalysis.exceptions.DuplicateWarning` If the :class:`~MDAnalysis.core.groups.AtomGroup`, :class:`~MDAnalysis.core.groups.ResidueGroup`, or :class:`~MDAnalysis.core.groups.SegmentGroup` of which the decorated method is a member contains duplicates. .. versionadded:: 0.19.0 """ @wraps(groupmethod) def wrapper(group, *args, **kwargs): # Proceed as usual if the calling group is unique or a DuplicateWarning # has already been thrown: if group.isunique or warn_if_not_unique.warned: return groupmethod(group, *args, **kwargs) # Otherwise, throw a DuplicateWarning and execute the method. method_name = ".".join((group.__class__.__name__, groupmethod.__name__)) # Try to get the group's variable name(s): caller_locals = inspect.currentframe().f_back.f_locals.items() group_names = [] for name, obj in caller_locals: try: if obj is group: group_names.append("'{}'".format(name)) except: pass if not group_names: group_name = "'unnamed {}'".format(group.__class__.__name__) elif len(group_names) == 1: group_name = group_names[0] else: group_name = " a.k.a. ".join(sorted(group_names)) group_repr = repr(group) msg = ("{}(): {} {} contains duplicates. Results might be biased!" "".format(method_name, group_name, group_repr)) warnings.warn(message=msg, category=DuplicateWarning, stacklevel=2) warn_if_not_unique.warned = True try: result = groupmethod(group, *args, **kwargs) finally: warn_if_not_unique.warned = False return result return wrapper
[docs]def check_coords(*coord_names, **options): """Decorator for automated coordinate array checking. This decorator is intended for use especially in :mod:`MDAnalysis.lib.distances`. It takes an arbitrary number of positional arguments which must correspond to names of positional arguments of the decorated function. It then checks if the corresponding values are valid coordinate arrays. If all these arrays are single coordinates (i.e., their shape is ``(3,)``), the decorated function can optionally return a single coordinate (or angle) instead of an array of coordinates (or angles). This can be used to enable computations of single observables using functions originally designed to accept only 2-d coordinate arrays. The checks performed on each individual coordinate array are: * Check that coordinate arrays are of type :class:`numpy.ndarray`. * Check that coordinate arrays have a shape of ``(n, 3)`` (or ``(3,)`` if single coordinates are allowed; see keyword argument `allow_single`). * Automatic dtype conversion to ``numpy.float32``. * Optional replacement by a copy; see keyword argument `enforce_copy` . * If coordinate arrays aren't C-contiguous, they will be automatically replaced by a C-contiguous copy. * Optional check for equal length of all coordinate arrays; see optional keyword argument `check_lengths_match`. Parameters ---------- *coord_names : tuple Arbitrary number of strings corresponding to names of positional arguments of the decorated function. **options : dict, optional * **enforce_copy** (:class:`bool`, optional) -- Enforce working on a copy of the coordinate arrays. This is useful to ensure that the input arrays are left unchanged. Default: ``True`` * **allow_single** (:class:`bool`, optional) -- Allow the input coordinate array to be a single coordinate with shape ``(3,)``. * **convert_single** (:class:`bool`, optional) -- If ``True``, single coordinate arrays will be converted to have a shape of ``(1, 3)``. Only has an effect if `allow_single` is ``True``. Default: ``True`` * **reduce_result_if_single** (:class:`bool`, optional) -- If ``True`` and *all* input coordinates are single, a decorated function ``func`` will return ``func()[0]`` instead of ``func()``. Only has an effect if `allow_single` is ``True``. Default: ``True`` * **check_lengths_match** (:class:`bool`, optional) -- If ``True``, a :class:`ValueError` is raised if not all coordinate arrays contain the same number of coordinates. Default: ``True`` Raises ------ ValueError If the decorator is used without positional arguments (for development purposes only). If any of the positional arguments supplied to the decorator doesn't correspond to a name of any of the decorated function's positional arguments. If any of the coordinate arrays has a wrong shape. TypeError If any of the coordinate arrays is not a :class:`numpy.ndarray`. If the dtype of any of the coordinate arrays is not convertible to ``numpy.float32``. Example ------- >>> @check_coords('coords1', 'coords2') ... def coordsum(coords1, coords2): ... assert coords1.dtype == np.float32 ... assert coords2.flags['C_CONTIGUOUS'] ... return coords1 + coords2 ... >>> # automatic dtype conversion: >>> coordsum(np.zeros(3, dtype=np.int64), np.ones(3)) array([1., 1., 1.], dtype=float32) >>> >>> # automatic handling of non-contiguous arrays: >>> coordsum(np.zeros(3), np.ones(6)[::2]) array([1., 1., 1.], dtype=float32) >>> >>> # automatic shape checking: >>> coordsum(np.zeros(3), np.ones(6)) ValueError: coordsum(): coords2.shape must be (3,) or (n, 3), got (6,). .. versionadded:: 0.19.0 """ enforce_copy = options.get('enforce_copy', True) allow_single = options.get('allow_single', True) convert_single = options.get('convert_single', True) reduce_result_if_single = options.get('reduce_result_if_single', True) check_lengths_match = options.get('check_lengths_match', len(coord_names) > 1) if not coord_names: raise ValueError("Decorator check_coords() cannot be used without " "positional arguments.") def check_coords_decorator(func): fname = func.__name__ code = func.__code__ argnames = code.co_varnames nargs = len(code.co_varnames) ndefaults = len(func.__defaults__) if func.__defaults__ else 0 # Create a tuple of positional argument names: nposargs = code.co_argcount - ndefaults posargnames = argnames[:nposargs] # The check_coords() decorator is designed to work only for positional # arguments: for name in coord_names: if name not in posargnames: raise ValueError("In decorator check_coords(): Name '{}' " "doesn't correspond to any positional " "argument of the decorated function {}()." "".format(name, func.__name__)) def _check_coords(coords, argname): if not isinstance(coords, np.ndarray): raise TypeError("{}(): Parameter '{}' must be a numpy.ndarray, " "got {}.".format(fname, argname, type(coords))) is_single = False if allow_single: if (coords.ndim not in (1, 2)) or (coords.shape[-1] != 3): raise ValueError("{}(): {}.shape must be (3,) or (n, 3), " "got {}.".format(fname, argname, coords.shape)) if coords.ndim == 1: is_single = True if convert_single: coords = coords[None, :] else: if (coords.ndim != 2) or (coords.shape[1] != 3): raise ValueError("{}(): {}.shape must be (n, 3), got {}." "".format(fname, argname, coords.shape)) try: coords = coords.astype(np.float32, order='C', copy=enforce_copy) except ValueError: six.raise_from( TypeError( "{}(): {}.dtype must be convertible to float32," " got {}.".format(fname, argname, coords.dtype)), None) return coords, is_single @wraps(func) def wrapper(*args, **kwargs): # Check for invalid function call: if len(args) != nposargs: # set marker for testing purposes: wrapper._invalid_call = True if len(args) > nargs: # too many arguments, invoke call: return func(*args, **kwargs) for name in posargnames[:len(args)]: if name in kwargs: # duplicate argument, invoke call: return func(*args, **kwargs) for name in posargnames[len(args):]: if name not in kwargs: # missing argument, invoke call: return func(*args, **kwargs) for name in kwargs: if name not in argnames: # unexpected kwarg, invoke call: return func(*args, **kwargs) # call is valid, unset test marker: wrapper._invalid_call = False args = list(args) ncoords = [] all_single = allow_single for name in coord_names: idx = posargnames.index(name) if idx < len(args): args[idx], is_single = _check_coords(args[idx], name) all_single &= is_single ncoords.append(args[idx].shape[0]) else: kwargs[name], is_single = _check_coords(kwargs[name], name) all_single &= is_single ncoords.append(kwargs[name].shape[0]) if check_lengths_match and ncoords: if ncoords.count(ncoords[0]) != len(ncoords): raise ValueError("{}(): {} must contain the same number of " "coordinates, got {}." "".format(fname, ", ".join(coord_names), ncoords)) # If all input coordinate arrays were 1-d, so should be the output: if all_single and reduce_result_if_single: return func(*args, **kwargs)[0] return func(*args, **kwargs) return wrapper return check_coords_decorator
#------------------------------------------------------------------ # # our own deprecate function, derived from numpy (see # # # From numpy/lib/ 1.14.5 (used under the BSD 3-clause licence, # and modified def _set_function_name(func, name): func.__name__ = name return func
[docs]class _Deprecate(object): """ Decorator class to deprecate old functions. Refer to `deprecate` for details. See Also -------- deprecate .. versionadded:: 0.19.0 """ def __init__(self, old_name=None, new_name=None, release=None, remove=None, message=None): self.old_name = old_name self.new_name = new_name if release is None: raise ValueError("deprecate: provide release in which " "feature was deprecated.") self.release = str(release) self.remove = str(remove) if remove is not None else remove self.message = message def __call__(self, func, *args, **kwargs): """ Decorator call. Refer to ``decorate``. """ old_name = self.old_name new_name = self.new_name message = self.message release = self.release remove = self.remove if old_name is None: try: old_name = func.__name__ except AttributeError: old_name = func.__name__ if new_name is None: depdoc = "`{0}` is deprecated!".format(old_name) else: depdoc = "`{0}` is deprecated, use `{1}` instead!".format( old_name, new_name) warn_message = depdoc remove_text = "" if remove is not None: remove_text = "`{0}` will be removed in release {1}.".format( old_name, remove) warn_message += "\n" + remove_text if message is not None: warn_message += "\n" + message def newfunc(*args, **kwds): """This function is deprecated.""" warnings.warn(warn_message, DeprecationWarning, stacklevel=2) return func(*args, **kwds) newfunc = _set_function_name(newfunc, old_name) # Build the doc string # First line: func is deprecated, use newfunc instead! # Normal docs follows. # Last: .. deprecated:: # make sure that we do not mess up indentation, otherwise sphinx # docs do not build properly try: doc = dedent_docstring(func.__doc__) except TypeError: doc = "" deprecation_text = dedent_docstring("""\n\n .. deprecated:: {0} {1} {2} """.format(release, message if message else depdoc, remove_text)) doc = "{0}\n\n{1}\n{2}\n".format(depdoc, doc, deprecation_text) newfunc.__doc__ = doc try: d = func.__dict__ except AttributeError: pass else: newfunc.__dict__.update(d) return newfunc
[docs]def deprecate(*args, **kwargs): """Issues a DeprecationWarning, adds warning to `old_name`'s docstring, rebinds ``old_name.__name__`` and returns the new function object. This function may also be used as a decorator. It adds a restructured text ``.. deprecated:: release`` block with the sphinx deprecated role to the end of the docs. The `message` is added under the deprecation block and contains the `release` in which the function was deprecated. Parameters ---------- func : function The function to be deprecated. old_name : str, optional The name of the function to be deprecated. Default is None, in which case the name of `func` is used. new_name : str, optional The new name for the function. Default is None, in which case the deprecation message is that `old_name` is deprecated. If given, the deprecation message is that `old_name` is deprecated and `new_name` should be used instead. release : str Release in which the function was deprecated. This is given as a keyword argument for technical reasons but is required; a :exc:`ValueError` is raised if it is missing. remove : str, optional Release for which removal of the feature is planned. message : str, optional Additional explanation of the deprecation. Displayed in the docstring after the warning. Returns ------- old_func : function The deprecated function. Examples -------- When :func:`deprecate` is used as a function as in the following example, .. code-block:: python oldfunc = deprecate(func, release="0.19.0", remove="1.0", message="Do it yourself instead.") then ``oldfunc`` will return a value after printing :exc:`DeprecationWarning`; ``func`` is still available as it was before. When used as a decorator, ``func`` will be changed and issue the warning and contain the deprecation note in the do string. .. code-block:: python @deprecate(release="0.19.0", remove="1.0", message="Do it yourself instead.") def func(): \"\"\"Just pass\"\"\" pass The resulting doc string (``help(func)``) will look like: .. code-block:: reST `func` is deprecated! Just pass. .. deprecated:: 0.19.0 Do it yourself instead. `func` will be removed in 1.0. (It is possible but confusing to change the name of ``func`` with the decorator so it is not recommended to use the `new_func` keyword argument with the decorator.) .. versionadded:: 0.19.0 """ # Deprecate may be run as a function or as a decorator # If run as a function, we initialise the decorator class # and execute its __call__ method. if args: fn = args[0] args = args[1:] return _Deprecate(*args, **kwargs)(fn) else: return _Deprecate(*args, **kwargs)
# #------------------------------------------------------------------
[docs]def dedent_docstring(text): """Dedent typical python doc string. Parameters ---------- text : str string, typically something like ``func.__doc__``. Returns ------- str string with the leading common whitespace removed from each line See Also -------- textwrap.dedent .. versionadded:: 0.19.0 """ lines = text.splitlines() if len(lines) < 2: return text.lstrip() # treat first line as special (typically no leading whitespace!) which messes up dedent return lines[0].lstrip() + "\n" + textwrap.dedent("\n".join(lines[1:]))
[docs]def check_box(box): """Take a box input and deduce what type of system it represents based on the shape of the array and whether all angles are 90 degrees. Parameters ---------- box : array_like The unitcell dimensions of the system, which can be orthogonal or triclinic and must be provided in the same format as returned by :attr:`MDAnalysis.coordinates.base.Timestep.dimensions`:\n ``[lx, ly, lz, alpha, beta, gamma]``. Returns ------- boxtype : {``'ortho'``, ``'tri_vecs'``} String indicating the box type (orthogonal or triclinic). checked_box : numpy.ndarray Array of dtype ``numpy.float32`` containing box information: * If `boxtype` is ``'ortho'``, `cecked_box` will have the shape ``(3,)`` containing the x-, y-, and z-dimensions of the orthogonal box. * If `boxtype` is ``'tri_vecs'``, `cecked_box` will have the shape ``(3, 3)`` containing the triclinic box vectors in a lower triangular matrix as returned by :meth:`~MDAnalysis.lib.mdamath.triclinic_vectors`. Raises ------ ValueError If `box` is not of the form ``[lx, ly, lz, alpha, beta, gamma]`` or contains data that is not convertible to ``numpy.float32``. See Also -------- MDAnalysis.lib.mdamath.triclinic_vectors .. versionchanged: 0.19.0 * Enforced correspondence of `box` with specified format. * Added automatic conversion of input to :class:`numpy.ndarray` with dtype ``numpy.float32``. * Now also returns the box in the format expected by low-level functions in :mod:`~MDAnalysis.lib.c_distances`. * Removed obsolete box types ``tri_box`` and ``tri_vecs_bad``. """ from .mdamath import triclinic_vectors # avoid circular import box = np.asarray(box, dtype=np.float32, order='C') if box.shape != (6,): raise ValueError("Invalid box information. Must be of the form " "[lx, ly, lz, alpha, beta, gamma].") if np.all(box[3:] == 90.): return 'ortho', box[:3] return 'tri_vecs', triclinic_vectors(box)