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This adds a new IMP.mmcif module, which is similar in
concept to the IMP.rmf module - it adds support for the
mmCIF file format. It is intended to be used to convert
sets of IMP models (generally read from intermediate
RMF files) into a single mmCIF file, for deposition in
PDB-Dev, and relies on provenance information (see #976)
being present in the models. Relates #968.
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benmwebb committed Nov 16, 2017
2 parents c6a5b4d + 2a95bb6 commit 7f485a5
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3 changes: 3 additions & 0 deletions modules/mmcif/.imp_info.py
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{
"name": "IMP.mmcif"
}
19 changes: 19 additions & 0 deletions modules/mmcif/README.md
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\brief Support for output of models in mmCIF format.

This module adds basic support for outputing IMP models in mmCIF format,
using the [integrative/hybrid modeling extensions](https://github.com/ihmwg/IHM-dictionary).
This allows IMP models to be deposited in [PDB-dev](https://pdb-dev.wwpdb.org/).

Note that this module is still under heavy development, and not yet
completely functional.

# Info

_Author(s)_: Benjamin Webb

_Maintainer_: benmwebb

_License_: LGPL

_Publications_:
- None
4 changes: 4 additions & 0 deletions modules/mmcif/dependencies.py
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required_modules = 'kernel'
lib_only_required_modules = 'atom:core:algebra:container:rmf'
required_dependencies = ''
optional_dependencies = ''
6 changes: 6 additions & 0 deletions modules/mmcif/pyext/IMP_mmcif.init.i
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%pythoncode %{

# Temporary hack to simplify development
from IMP.mmcif.util import *

%}
259 changes: 259 additions & 0 deletions modules/mmcif/pyext/src/_compat_collections.py
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"""Compatibility code for Python 2.6 (classes that are present
in the 'collections' module in Python 2.7 or later)."""

try:
from thread import get_ident as _get_ident
except ImportError:
from dummy_thread import get_ident as _get_ident

try:
from _abcoll import KeysView, ValuesView, ItemsView
except ImportError:
pass

class OrderedDict(dict):
"""Dictionary that remembers insertion order
An inherited dict maps keys to values.
The inherited dict provides __getitem__, __len__, __contains__, and get.
The remaining methods are order-aware.
Big-O running times for all methods are the same as for regular dictionaries.
The internal self.__map dictionary maps keys to links in a doubly linked list.
The circular doubly linked list starts and ends with a sentinel element.
The sentinel element never gets deleted (this simplifies the algorithm).
Each link is stored as a list of length three: [PREV, NEXT, KEY].
source: http://code.activestate.com/recipes/576693/
"""

def __init__(self, *args, **kwds):
'''Initialize an ordered dictionary. Signature is the same as for
regular dictionaries, but keyword arguments are not recommended
because their insertion order is arbitrary.
'''
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
try:
self.__root
except AttributeError:
self.__root = root = [] # sentinel node
root[:] = [root, root, None]
self.__map = {}
self.__update(*args, **kwds)

def __setitem__(self, key, value, dict_setitem=dict.__setitem__):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link which goes at the end of the linked
# list, and the inherited dictionary is updated with the new key/value pair.
if key not in self:
root = self.__root
last = root[0]
last[1] = root[0] = self.__map[key] = [last, root, key]
dict_setitem(self, key, value)

def __delitem__(self, key, dict_delitem=dict.__delitem__):
'od.__delitem__(y) <==> del od[y]'
# Deleting an existing item uses self.__map to find the link which is
# then removed by updating the links in the predecessor and successor nodes.
dict_delitem(self, key)
link_prev, link_next, key = self.__map.pop(key)
link_prev[1] = link_next
link_next[0] = link_prev

def __iter__(self):
'od.__iter__() <==> iter(od)'
root = self.__root
curr = root[1]
while curr is not root:
yield curr[2]
curr = curr[1]

def __reversed__(self):
'od.__reversed__() <==> reversed(od)'
root = self.__root
curr = root[0]
while curr is not root:
yield curr[2]
curr = curr[0]

def clear(self):
'od.clear() -> None. Remove all items from od.'
try:
for node in self.__map.itervalues():
del node[:]
root = self.__root
root[:] = [root, root, None]
self.__map.clear()
except AttributeError:
pass
dict.clear(self)

def popitem(self, last=True):
'''od.popitem() -> (k, v), return and remove a (key, value) pair.
Pairs are returned in LIFO order if last is true or FIFO order if false.
'''
if not self:
raise KeyError('dictionary is empty')
root = self.__root
if last:
link = root[0]
link_prev = link[0]
link_prev[1] = root
root[0] = link_prev
else:
link = root[1]
link_next = link[1]
root[1] = link_next
link_next[0] = root
key = link[2]
del self.__map[key]
value = dict.pop(self, key)
return key, value

# -- the following methods do not depend on the internal structure --

def keys(self):
'od.keys() -> list of keys in od'
return list(self)

def values(self):
'od.values() -> list of values in od'
return [self[key] for key in self]

def items(self):
'od.items() -> list of (key, value) pairs in od'
return [(key, self[key]) for key in self]

def iterkeys(self):
'od.iterkeys() -> an iterator over the keys in od'
return iter(self)

def itervalues(self):
'od.itervalues -> an iterator over the values in od'
for k in self:
yield self[k]

def iteritems(self):
'od.iteritems -> an iterator over the (key, value) items in od'
for k in self:
yield (k, self[k])

def update(*args, **kwds):
'''od.update(E, **F) -> None. Update od from dict/iterable E and F.
If E is a dict instance, does: for k in E: od[k] = E[k]
If E has a .keys() method, does: for k in E.keys(): od[k] = E[k]
Or if E is an iterable of items, does: for k, v in E: od[k] = v
In either case, this is followed by: for k, v in F.items(): od[k] = v
'''
if len(args) > 2:
raise TypeError('update() takes at most 2 positional '
'arguments (%d given)' % (len(args),))
elif not args:
raise TypeError('update() takes at least 1 argument (0 given)')
self = args[0]
# Make progressively weaker assumptions about "other"
other = ()
if len(args) == 2:
other = args[1]
if isinstance(other, dict):
for key in other:
self[key] = other[key]
elif hasattr(other, 'keys'):
for key in other.keys():
self[key] = other[key]
else:
for key, value in other:
self[key] = value
for key, value in kwds.items():
self[key] = value

__update = update # let subclasses override update without breaking __init__

__marker = object()

def pop(self, key, default=__marker):
'''od.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised.
'''
if key in self:
result = self[key]
del self[key]
return result
if default is self.__marker:
raise KeyError(key)
return default

def setdefault(self, key, default=None):
'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od'
if key in self:
return self[key]
self[key] = default
return default

def __repr__(self, _repr_running={}):
'od.__repr__() <==> repr(od)'
call_key = id(self), _get_ident()
if call_key in _repr_running:
return '...'
_repr_running[call_key] = 1
try:
if not self:
return '%s()' % (self.__class__.__name__,)
return '%s(%r)' % (self.__class__.__name__, self.items())
finally:
del _repr_running[call_key]

def __reduce__(self):
'Return state information for pickling'
items = [[k, self[k]] for k in self]
inst_dict = vars(self).copy()
for k in vars(OrderedDict()):
inst_dict.pop(k, None)
if inst_dict:
return (self.__class__, (items,), inst_dict)
return self.__class__, (items,)

def copy(self):
'od.copy() -> a shallow copy of od'
return self.__class__(self)

@classmethod
def fromkeys(cls, iterable, value=None):
'''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S
and values equal to v (which defaults to None).
'''
d = cls()
for key in iterable:
d[key] = value
return d

def __eq__(self, other):
'''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive
while comparison to a regular mapping is order-insensitive.
'''
if isinstance(other, OrderedDict):
return len(self)==len(other) and self.items() == other.items()
return dict.__eq__(self, other)

def __ne__(self, other):
return not self == other

# -- the following methods are only used in Python 2.7 --

def viewkeys(self):
"od.viewkeys() -> a set-like object providing a view on od's keys"
return KeysView(self)

def viewvalues(self):
"od.viewvalues() -> an object providing a view on od's values"
return ValuesView(self)

def viewitems(self):
"od.viewitems() -> a set-like object providing a view on od's items"
return ItemsView(self)
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