I talked to our pilot Andy King. Friday is not so good, but Saturday and Sunday may be ok. I am the #2 swimmer in a Que. of three. I will be in contact with Andy closer to Friday.
For some reason I didn't get the best sleep, maybe five hours. The guest house accommodation includes breakfast. So far, I have opted for the English breakfast, which consists of two eggs, sausage, ham, baked beans and toast. I definitely could get used to this, and it certainly helped the lack of sleep.
We walked down to Dover Harbour (10 mins) where they have a huge protected recreation area. Historically, the majority of channel swimmers come and train here.
When we arrived I noticed a group of swimmers from Libya on the beach preparing for a training swim. I talked to their coach and sure enough they were planning to swim the channel as a relay team. This would be a first for Libya.
I swam here for about 1:15mins. The water temp was about 16'C . I did notice how much saltier the water is here and made a mental note not to get lazy and ingest to much. After the swim we talked with the group from Libya and took some photos, it was great fun to meet them.
Rod, I don't think Friday is a good day to swim the channel anyways… it will make us all feel bad as we eat our chocolate cake here and you're out swimming. So Sat or Sun will be the time!
Getting so pumped for you!!
Rod, I am so excited for you!!! You are in the North Shore News. How cool is that!!!
Good luck and don't drink too much salty water!
Go get them Mr. Rodney!!
Go Rocket Go! Hi Bonnie…. nice pics!
its getting close! hope you guys are having fun!
Hi Rod, a big push and nod from me. Will be watching your site over the next few days. Best of luck. You are an inspiration!
Thought of you today as we had a very relaxed swim at bbay…….
Keeping fingers crossed for a weekend start. 2nd out of 3 in the queue line means good karma! All the best Rod.
We are rooting for you, Rod! It looks like you are ready to go and just waiting for the right conditions. We KNOW you can do it…we are so proud of you and cant wait to hear about your HUGE ACCOMPLISHMENT.
Take care and good luck, Buddy.
Auntie Bonnie: it looks like you are having fun over there too! whoo hoo!!


"... Rule-based equivalence checking of system-level design descriptions proves the equivalence of two system-level design descriptions by applying the equivalence rules in a bottom-up manner. Since the previous work derives the equivalence of the internal variables based on their names, the method often ..."
"... Abstract — This paper presents our study on rule-based equivalence checking of system-level design descriptions. The rule-based equivalence checking proves the equivalence of two system-level design descriptions by applying equivalence rules in a bottom-up manner. In this paper, we first introduce o ..."


One hour radio show that plays bluegrass, old time and gospel music only by unsigned bands. Discusses playing style, venues, and provide band website an CD links. For more info, see the official A Bluegrass and Old Time Music Radio Show website.


Volume subscription rates are for a complete volume and cannot be split between volumes. To qualify for the student rate, a subscriber must have their status verified by a teacher or other appropriate school official. Address correspondence concerning subscriptions to the Managing Editor.


Business owners across all verticals are always looking for the best social media platforms to use in order to bring in more conversions. This is especially true in highly competitive retail industries.
Companies may wonder which social media platforms their target audiences are using, where they'll be able to make the most headway when it comes to brand awareness, and which platforms will actually generate traffic and sales.
By identifying where the biggest retail companies are finding success, we can offer recommendations on which social media platforms will help your business achieve its 2018 marketing goals. These are the top 3 social media platforms for retail right now.
The visual nature of Pinterest makes it popular among its users, and a strong platform for companies to showcase their ecommerce products. Displaying new product arrivals and seasonal specials is a great way to increase brand awareness and boost site traffic.
Companies can also choose to offer promoted pins and display price information to encourage shopping from their pins. The most popular ways to pin products are to feature individual products artistically or to pair up items to create boards around a certain theme or style.
Traditionally Pinterest has been more popular among women than men, but it's gaining traction with the male demographic, especially with men who enjoy shopping, design and high style.
Instagram is another highly visual social media platform, whose recent popularity (especially among younger demographics) makes it a valuable platform for companies to appeal to target audiences.
Both men and women use Instagram equally, making it a gender-neutral platform with a lot of potential. Companies on Instagram see the most success showcasing models displaying seasonal trends and popular looks. The ability to tag photos with location information also offers an interesting potential for local retail companies that want to highlight different styles available at various locations.
Facebook has consistently been the most popular social media platform over the years, which makes it a solid choice for companies in all industries. With close to 2 billion global users and interesting targeting capabilities, marketers can offer their customers a very specific and interesting shopping experience right from Facebook.
eCommerce websites can make the most use of Facebook by uploading many rich images of products in addition to posting promotional updates. Being able to pair photos of the items that they're selling with real-time sales information allows companies to keep followers updated with the most up-to-date information. This is especially key for businesses that want to offer daily deals, lightning sales, and other short-term or limited-quantity offers.


text:
from collections import namedtuple
try:
    from collections.abc import MutableMapping
except ImportError:  # Python v3.2 or less
    from collections import MutableMapping
from abc import ABCMeta
from itertools import chain
from warnings import warn

from pydmrs._exceptions import *

class Pred(object):
    """
    A superclass for all Pred classes.
    Instances of Pred denote a completely underspecified predicate.
    """

    __slots__ = ()  # Suppress __dict__

    def __str__(self):
        """
        Returns 'predsort', the type name for predicates in Delph-in grammars
        """
        return 'predsort'

    def __repr__(self):
        """
        Returns a string representation
        """
        return 'Pred()'

    def __hash__(self):
        return hash(None)

    def __eq__(self, other):
        """
        Checks pred equality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return type(other) is Pred

    def __ne__(self, other):
        """
        Checks pred inequality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return type(other) is not Pred

    def __le__(self, other):
        """
        Checks pred leq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return True

    def __lt__(self, other):
        """
        Checks pred lt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return type(other) != Pred

    def __ge__(self, other):
        """
        Checks pred geq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return type(other) == Pred

    def __gt__(self, other):
        """
        Checks pred gt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return False

    def is_more_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a more specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(self) in hierarchy.get(str(other), ()):
            return True
        return False

    def is_less_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a less specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(other) in hierarchy.get(str(self), ()):
            return True
        return type(other) is not Pred

    @staticmethod
    def normalise_string(string):
        """
        Normalises a predicate string
        """
        # Disallow spaces
        if ' ' in string:
            raise PydmrsValueError('Predicates must not contain spaces')
        # Strip surrounding quotes and disallow other quotes
        if string[0] == '"' and string[-1] == '"':
            string = string[1:-1]
        if string[0] == "'":
            warn('Predicates with opening single-quote have been deprecated',
                 PydmrsDeprecationWarning)
            string = string[1:]
        if '"' in string:
            raise PydmrsValueError('Predicates must not contain quotes')
        # Force lower case
        if not string.islower():
            warn('Predicates must be lower-case', PydmrsWarning)
            string = string.lower()
        # Strip trailing '_rel'
        if string[-4:] == '_rel':
            string = string[:-4]

        return string

    @classmethod
    def from_string(cls, string):
        """
        Instantiates a pred from a string, normalising as necessary
        """
        normalised = cls.normalise_string(string)
        return cls.from_normalised_string(normalised)

    @staticmethod
    def from_normalised_string(string):
        """
        Instantiates a suitable type of Pred, from a string
        """
        if string[0] == '_':
            return RealPred.from_normalised_string(string)
        else:
            return GPred.from_normalised_string(string)

class RealPred(namedtuple('RealPredNamedTuple', ('lemma', 'pos', 'sense')), Pred):
    """
    Real predicate, with a lemma, part of speech, and (optional) sense.
    All three fields can be underspecified by using '?'.
    The pos can also be underspecified as 'u'.
    The sense can also be underspecified as 'unknown'.
    """

    __slots__ = ()  # Suppress __dict__

    def __new__(cls, lemma, pos, sense=None):
        """
        Create a new instance, allowing the sense to be optional,
        and requiring non-empty lemma and pos
        """
        if lemma is None:
            raise PydmrsValueError('a RealPred must have lemma')
        if pos is None:
            raise PydmrsValueError('a RealPred must have pos')
        if ' ' in lemma or ' ' in pos or (sense and ' ' in sense):
            raise PydmrsValueError('the values of a RealPred must not contain spaces')
        return super().__new__(cls, lemma, pos, sense)

    def __str__(self):
        """
        Return a string, with leading underscore
        """
        if self.sense:
            return "_{}_{}_{}".format(*self)
        else:
            return "_{}_{}".format(*self)

    def __repr__(self):
        """
        Return a string, as "RealPred(lemma, pos, sense)"
        """
        if self.sense:
            return "RealPred({}, {}, {})".format(*(repr(x) for x in self))
        else:
            return "RealPred({}, {})".format(*(repr(x) for x in self))

    def __hash__(self):
        return super().__hash__()

    def __eq__(self, other):
        """
        Checks pred equality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, RealPred) and super().__eq__(other)

    def __ne__(self, other):
        """
        Checks pred inequality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return not isinstance(other, RealPred) or super().__ne__(other)

    def __le__(self, other):
        """
        Checks pred leq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if not isinstance(other, RealPred):
            return False
        if self.sense is None:
            return self[:2] <= other[:2]
        if other.sense is None:
            return self[:2] < other[:2]
        return super().__le__(other)

    def __lt__(self, other):
        """
        Checks pred lt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if not isinstance(other, RealPred):
            return False
        if other.sense is None:
            return self[:2] < other[:2]
        if self.sense is None:
            return self[:2] <= other[:2]
        return super().__lt__(other)

    def __ge__(self, other):
        """
        Checks pred geq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if not isinstance(other, RealPred):
            return True
        if other.sense is None:
            return self[:2] >= other[:2]
        if self.sense is None:
            return self[:2] > other[:2]
        return super().__ge__(other)

    def __gt__(self, other):
        """
        Checks pred gt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if not isinstance(other, RealPred):
            return True
        if self.sense is None:
            return self[:2] > other[:2]
        if other.sense is None:
            return self[:2] >= other[:2]
        return super().__gt__(other)

    def is_more_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a more specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(self) in hierarchy.get(str(other), ()):
            return True
        elif type(other) is Pred:
            return True
        elif not isinstance(other, RealPred):
            return False
        result = False
        if self.lemma != '?' and other.lemma == '?':
            result = True
        elif self.lemma != other.lemma:
            return False
        if self.pos not in ('u', '?') and other.pos in ('u', '?'):
            result = True
        elif self.pos != other.pos:
            return False
        if other.sense == '?':
            result = True
        elif self.sense != other.sense:
            return False
        return result

    def is_less_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a less specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(other) in hierarchy.get(str(self), ()):
            return True
        elif not isinstance(other, RealPred):
            return False
        result = False
        if self.lemma == '?' and other.lemma != '?':
            result = True
        elif self.lemma != other.lemma:
            return False
        if self.pos in ('u', '?') and other.pos not in ('u', '?'):
            result = True
        elif self.pos != other.pos:
            return False
        if self.sense == '?':
            result = True
        elif self.sense != other.sense:
            return False
        return result

    @staticmethod
    def from_normalised_string(string):
        """
        Create a new instance from a normalised string.
        :param string: Input string
        :return: RealPred object
        """
        # Require initial underscore
        if string[0] != '_':
            raise PydmrsValueError("RealPred strings must begin with an underscore")
        # Split into 2 or 3 parts
        # This allows the lemma to contain underscores, which sometimes happens in the ERG
        parts = string[1:].rsplit('_', 2)
        # Require at least 2 parts
        if len(parts) < 2:
            raise PydmrsValueError(
                "RealPred strings must have a part of speech separated by an underscore")
        return RealPred(*parts)

class GPred(namedtuple('GPredNamedTuple', ('name')), Pred):
    """
    Grammar predicate, with a rel name.
    The name can be underspecified by using '?'.
    """

    __slots__ = ()  # Suppress __dict__

    def __new__(cls, name):
        """
        Create a new instance, requiring non-empty name
        """
        if not name:
            raise PydmrsValueError('a GPred must have non-empty name')
        return super().__new__(cls, name)

    def __str__(self):
        """
        Return a string
        """
        return str(self.name)

    def __repr__(self):
        """
        Return a string, as "GPred(name)"
        """
        return "GPred({})".format(repr(self.name))

    def __hash__(self):
        return super().__hash__()

    def __eq__(self, other):
        """
        Checks pred equality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, GPred) and super().__eq__(other)

    def __ne__(self, other):
        """
        Checks pred inequality
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return not isinstance(other, GPred) or super().__ne__(other)

    def __le__(self, other):
        """
        Checks pred leq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, RealPred) or (isinstance(other, GPred) and super().__le__(other))

    def __lt__(self, other):
        """
        Checks pred lt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, RealPred) or (isinstance(other, GPred) and super().__lt__(other))

    def __ge__(self, other):
        """
        Checks pred geq comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, Pred) or (isinstance(other, GPred) and super().__ge__(other))

    def __gt__(self, other):
        """
        Checks pred gt comparison (Pred < GPred < RealPred)
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        return isinstance(other, Pred) or (isinstance(other, GPred) and super().__gt__(other))

    def is_more_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a more specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(self) in hierarchy.get(str(other), ()):
            return True
        return type(other) is Pred or (isinstance(other, GPred) and (self.name != '?' and other.name == '?'))

    def is_less_specific(self, other, hierarchy=None):
        """
        Checks whether this object is a less specific pred than the other
        """
        if not isinstance(other, Pred):
            raise PydmrsTypeError()
        if hierarchy is not None and str(other) in hierarchy.get(str(self), ()):
            return True
        return isinstance(other, GPred) and (self.name == '?' and other.name != '?')

    @staticmethod
    def from_normalised_string(string):
        """
        Create a new instance from a normalised string.
        """
        if string[0] == '_':
            raise PydmrsValueError("GPred strings must not begin with an underscore")
        else:
            return GPred(string)

# Sortinfo objects will store features via __slots__
# Users can define subclasses with additional features
# The __slots__ of a class and all its parents are concatenated as the 'features' attribute
# To allow this to happen, we will use a metaclass
# (An alternative solution would be to define a descriptor class, with an instance as a class attribute of Sortinfo)
# (Using a metaclass gives us more freedom - e.g. we can check that subclasses define __slots__)
# This metaclass inherits from ABCMeta rather than type, because MutableMapping has ABCMeta as a metaclass
# (In Python v3.6, we could use __init_subclass__ rather than a metaclass.)

class SortinfoMeta(ABCMeta):
    """
    A metaclass for Sortinfo, which defines a 'features' class attribute automatically
    """

    def __new__(mcls, name, bases, namespace):  # @NoSelf - 'mcls' is SortinfoMeta, 'cls' is the new class
        """
        Create a new class, and add a 'features' attribute from __slots__
        """
        # Check that the namespace is compliant
        if '__slots__' not in namespace:
            raise PydmrsError('Subclasses of Sortinfo must define __slots__')
        if 'features' in namespace:
            raise PydmrsError("Subclasses of Sortinfo must not define a 'features' attribute")

        # Force all feature names to be lowercase
        namespace['__slots__'] = tuple(feat.lower() for feat in namespace['__slots__'])

        # Create the class, and add the 'features' attribute
        cls = super().__new__(mcls, name, bases, namespace)
        cls.features = tuple(chain.from_iterable(getattr(parent, '__slots__', ())
                                                 for parent in reversed(cls.__mro__)))

        # Sortinfo defines a from_normalised_dict method which calls either EventSortinfo or InstanceSortinfo
        # Subclasses need to override this method
        if 'from_normalised_dict' not in namespace:
            cls.from_normalised_dict = cls._from_normalised_dict

        return cls

class Sortinfo(MutableMapping, metaclass=SortinfoMeta):
    """
    A superclass for all Sortinfo classes.
    Instances of Sortinfo denote completely underspecified sortinfo.
    Subclasses of Sortinfo must specify __slots__ (and optionally, cvarsort)
    """
    __slots__ = ()
    cvarsort = 'i'

    # Container methods

    def __iter__(self):
        """
        Iterate through all features, including 'cvarsort'
        """
        return chain(('cvarsort',), iter(self.features))

    def __len__(self):
        """
        Return the number of features, including 'cvarsort'
        """
        return 1 + len(self.features)

    def __contains__(self, feature):
        """
        Check if a feature is present in the class
        """
        return feature == 'cvarsort' or feature in self.features

    def is_specified(self, feature):
        """
        Returns True if value of feature is not '?' or 'u'
        """
        return feature == 'cvarsort' or (feature in self.features and self[feature] not in ('u', '?', None))

    # For convenience, we can also get features which are not None

    def iter_specified(self):
        """
        Return (feature, value) pairs where value is specified and not '?' or 'u'
        """
        for feat in self.features:
            if hasattr(self, feat):
                val = self[feat]
                if val != 'u' and val != '?' and val is not None:
                    yield feat, val

    # Setters and getters
    # Allows both attribute and dictionary access
    # Features and values must all be lowercase

    def __getattribute__(self, feature):
        try:
            return super().__getattribute__(feature)
        except AttributeError:
            if feature in self.features:
                return None
            else:
                raise

    def __setattr__(self, feature, value):
        """
        Set the value of a feature, converting it to lowercase unless it's None
        """
        feature = feature.lower()
        if value is not None:
            value = value.lower()
        super().__setattr__(feature, value)

    def __delattr__(self, feature):
        """
        Set the value of a feature to None
        """
        setattr(self, feature, None)

    def __setitem__(self, feature, value):
        """
        Set items as attributes
        """
        setattr(self, feature, value)

    def __getitem__(self, feature):
        """
        Get the value of a feature, including 'cvarsort'
        """
        feature = feature.lower()
        if feature == 'cvarsort':
            return self.cvarsort
        elif hasattr(self, feature):
            return getattr(self, feature)
        elif feature in self.features:
            return None
        else:
            raise PydmrsKeyError("{} has no feature {}".format(type(self), feature))

    def __delitem__(self, feature):
        """
        Set the value of a feature to None
        """
        self[feature] = None

    # Initialisation

    def __init__(self, *args, **kwargs):
        """
        Initialise values of features, from positional or keyword arguments
        If a feature is not given, its value is set to None
        """
        if len(args) > len(self.features):
            raise PydmrsTypeError(
                "{} takes {} arguments, but {} were given".format(type(self).__name__,
                                                                  len(self.features),
                                                                  len(args)))
        for i, value in enumerate(args):
            setattr(self, self.features[i], value)
        for feature, value in kwargs.items():
            setattr(self, feature, value)

    # Conversion to strings and dicts

    def __str__(self):
        """
        Returns a string of the form:
        cvarsort[feature1=value1, feature2=value2, ...]
        """
        spec_feats = ', '.join('{}={}'.format(feat, self[feat]) for feat in self.features if self[feat] is not None)
        if spec_feats:
            return '{}[{}]'.format(self.cvarsort, spec_feats)
        else:
            return self.cvarsort

    def __repr__(self):
        """
        Return a string that can be evaluated
        """
        return '{}({})'.format(type(self).__name__, ', '.join(repr(self[feat]) for feat in self.features if hasattr(self, feat)))

    def as_dict(self):
        """
        Return a dict mapping from features to values, including 'cvarsort'
        """
        return dict(self.items())

    # Conversion from strings and dicts

    @classmethod
    def from_dict(cls, dictionary, **kwargs):
        """
        Instantiates a Sortinfo object from dictionary,
        normalising as necessary
        """
        normalised = cls.normalise_dict(dictionary, **kwargs)
        return cls.from_normalised_dict(normalised)

    @staticmethod
    def normalise_dict(dictionary, convert_plus_minus=True, convert_legacy_prontype=True):
        """
        Normalise a sortinfo dictionary - convert keys to lowercase and correct cvarsort if necessary
        """
        # Convert all keys to lowercase (so that we can check if certain keys exist)
        # Values are left untouched until the object is constructed (e.g. in case of None)
        dictionary = {key.lower(): value for key, value in dictionary.items()}
        # Find the cvarsort
        try:
            dictionary['cvarsort'] = dictionary['cvarsort'].lower()
        except KeyError:
            raise PydmrsValueError('Sortinfo must have cvarsort')
        # Correct cvarsort
        # 'p' is underspecified for 'h' or 'x'
        if dictionary['cvarsort'] == 'p':
            dictionary['cvarsort'] = 'x'
        # Look for features that are evidence for 'x' or 'e'
        elif dictionary['cvarsort'] not in 'ex' and len(dictionary) > 1:
            if any(key in dictionary for key in EventSortinfo.features):  # event evidence
                dictionary['cvarsort'] = 'e'
            elif any(key in dictionary for key in InstanceSortinfo.features) \
                 or 'prontype' in dictionary:  # instance evidence
                dictionary['cvarsort'] = 'x'

        if convert_plus_minus:
            for key, value in dictionary.items():
                if value == 'plus':
                    dictionary[key] = '+'
                if value == 'minus':
                    dictionary[key] = '-'

        if convert_legacy_prontype and 'prontype' in dictionary:
            pt = dictionary.pop('prontype')
            dictionary['pt'] = LegacyInstanceSortinfo.prontype_to_pt.get(pt, pt)

        return dictionary

    # In subclasses, _from_normalised_dict will override from_normalised_dict
    # See SortinfoMeta for details
    @staticmethod
    def from_normalised_dict(dictionary):
        """
        Instantiate a suitable type of Sortinfo from a dictionary,
        mapping from features to values (including cvarsort)
        """
        cvarsort = dictionary['cvarsort']
        # Instantiate an appropriate type of Sortinfo
        if cvarsort == 'e':
            return EventSortinfo.from_normalised_dict(dictionary)
        elif cvarsort == 'x':
            if 'prontype' in dictionary:
                return LegacyInstanceSortinfo.from_normalised_dict(dictionary)
            else:
                return InstanceSortinfo.from_normalised_dict(dictionary)
        else:
            return Sortinfo()

    @classmethod
    def _from_normalised_dict(cls, dictionary):
        """
        Instantiate from a dictionary mapping features to values
        """
        if 'cvarsort' in dictionary and dictionary['cvarsort'] != cls.cvarsort:
            raise PydmrsValueError('{} must have cvarsort {}, not {}'.format(cls.__name__,
                                                                             cls.cvarsort,
                                                                             dictionary['cvarsort']))
        return cls(**{key: value for key, value in dictionary.items() if key != 'cvarsort'})

    @classmethod
    def from_string(cls, string, **kwargs):
        """
        Instantiate from a string of the form:
        cvarsort[feature1=value1, feature2=value2, ...]
        """
        # Force lowercase
        string = string.lower()
        # Dictionary mapping from features to values
        dictionary = {'cvarsort': string[0]}
        if len(string) > 1:
            if not (string[1] == '[' and string[-1] == ']'):
                raise PydmrsValueError('Sortinfo string must include features in square brackets')
            for item in string[2:-1].split(','):
                key, value = item.split('=')
                dictionary[key.strip()] = value.strip()
        # Convert the dictionary
        return cls.from_dict(dictionary, **kwargs)

    # Comparison methods

    def __eq__(self, other):
        """
        Checks two Sortinfos for equality.
        Returns True if all specified features are the same.
        """
        return isinstance(other, Sortinfo) and self.cvarsort == other.cvarsort \
               and set(self.iter_specified()) == set(other.iter_specified())

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

    def is_more_specific(self, other):
        """
        Checks whether this object is a more specific sortinfo than the other
        (underspecified value: '?' or 'u')
        """
        if not isinstance(other, Sortinfo):
            raise PydmrsTypeError()
        if other.cvarsort == 'i':
            return self.cvarsort != 'i'
        if self.cvarsort != other.cvarsort:
            return False
        for key, value in other.iter_specified():
            if not self.is_specified(key):
                return False
            elif value != self[key]:
                if key == 'tense' and value == 'tensed' and self[key] != 'untensed':
                    continue
                else:
                    return False
        only_this_specified = set(other.iter_specified()).difference(other.iter_specified())
        if not only_this_specified:
            return False
        return True

    def is_less_specific(self, other):
        """
        Checks whether this object is a less specific sortinfo than the other
        (underspecified value: '?' or 'u')
        """
        if not isinstance(other, Sortinfo):
            raise PydmrsTypeError()
        if self.cvarsort == 'i':
            return other.cvarsort != 'i'
        if self.cvarsort != other.cvarsort:
            return False
        for key, value in self.iter_specified():
            if not other.is_specified(key):
                return False
            elif value != other[key]:
                if key == 'tense' and value == 'tensed' and other[key] != 'untensed':
                    continue
                else:
                    return False
        only_other_specified = set(other.iter_specified()).difference(self.iter_specified())
        if not only_other_specified:
            return False
        return True

class EventSortinfo(Sortinfo):
    """
    Event sortinfo
    """
    cvarsort = 'e'
    __slots__ = ('sf', 'tense', 'mood', 'perf', 'prog')
    # Sentence force, tense, mood, perfect, progressive

class InstanceSortinfo(Sortinfo):
    """
    Instance sortinfo
    """
    cvarsort = 'x'
    __slots__ = ('pers', 'num', 'gend', 'ind', 'pt')
    # Person, number, gender, individuated, pronoun type

    def convert_to_legacy(self):
        new = LegacyInstanceSortinfo(*(self[x] for x in self.features))
        # Convert prontype value if there is a conversion (else leave the same)
        new.prontype = LegacyInstanceSortinfo.pt_to_prontype.get(new.prontype, new.prontype)
        return new

class LegacyInstanceSortinfo(Sortinfo):
    """
    Legacy instance sortinfo
    """
    cvarsort = 'x'
    __slots__ = ('pers', 'num', 'gend', 'ind', 'prontype')
    # Person, number, gender, individuated, pronoun type

    prontype_to_pt = {'std_pron': 'std',
                      'zero_pron': 'zero'}
    pt_to_prontype = {value:key for key,value in prontype_to_pt.items()}

    def convert_to_nonlegacy(self):
        new = InstanceSortinfo(*(self[x] for x in self.features))
        # Convert prontype value if there is a conversion (else leave the same)
        #if new.pt in self.prontype_to_pt:
        #    new.pt = self.prontype_to_pt[new.pt]
        new.pt = self.prontype_to_pt.get(new.pt, new.pt)
        return new

redpajama_set_name: RedPajamaGithub


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How is water used indoors?
In Calgary, the average person uses about 7,000 litres of water a month. This amount includes water used for irrigation. A home's indoor water consumption will usually remain about the same throughout the year unless you have house guests or you go on vacation.
The chart below shows typical water use for common household fixtures and appliances. Actual water use can vary depending on your water-use habits and efficiency of your fixtures.


Here is this month's MCN minutes - very productive meeting with Community Development from SCS and a workshop for planning our short and long term goals.
Next month's meeting we will have Lachlan McLean from SCS with a brief overview of new energy program www.poweredbypositive.com.au and discuss opportunities to engage with the Moriac community on the topic of energy efficiency and renewables.
Everyone welcome at Moriac Community Centre Wed 17th April 7pm.
Community flyers attached for your reference.


She's your little creature of the night and she's here to teach you all about the world in ways you never knew! Welcome to Bat Girls world! The Bat Girl T-Shirt is made from 95% Cotton 5% Elastane and features an artwork by Violet eyes on the front! Can't get enough of Bat Girl? Try the Circus Dress as well!


BASF and Givaudan are reportedly collaborating with IIVS (Institute for In Vitro Sciences), one of acclaimed leaders in in-vitro toxicology. This collaboration is intended to validate an amended technique of skin sensitization reactivity to aid authorities and toxicologists, claim trusted sources.
Reportedly, Givaudan and BASF have come to develop a cutting-edge non-animal testing technique to diagnose a skin related allergic reaction, called sensitization. The test, called Kinetic DPRA or Kinetic Direct Peptide Reactivity Assay, has the potential to predict the potency of a sensitizer. Three such non-animal sensitizer tests have been accepted across the globe.
Erin Hill, President, Institute for In Vitro Sciences, was quoted stating that IIVS is glad about joining forces with Givaudan and BASF over a next-generation technology that has the potential to befittingly transform countless industries and applications. Erin Hill added that the novel collaboration has come into place solely due to the support of the organization's contributors.
Dr. Andreas Natsch, Head, In Vitro Molecular Screening, Givaudan has been quoted to state that kinetic data can extensively evade risks and help in determining the safe usage level by evaluating the potency of skin sensitizers.
Dr. Robert Landsiedel, Vice President, BASF Experimental Toxicology and Ecology, in this regard, has been quoted to say that the company had been profoundly attracted to investigate potency with minor alterations of the popular and routinely utilized DPRA process. Dr. Landsiedel added that upon validation the Kinetic DPRA technique will completely eradicate the need to use animals for testing chemical potency. He also further mentioned that the organization is rather pleased joining forces with IIVS to prove the validity of this testing method.
For the uninitiated, the validation project is likely to conducted during 2018. The results, if successful, are expected to be furnished to the OECD (Organization for Economic Cooperation and Development) in 2019, claim reliable sources.


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The first incarnation of the kilt was an untailored, enormous piece of fabric called a "feileadh mhór" (big wrap!) and it covered the entire body.
The big wrap was eventually halved and became the kilt as we know it today. Originally worn by soldiers and highlanders!
In August 1747, following the defeat of Bonnie Prince Charlie in the 1745 rebellion, the British Government banned the wearing of kilts. This was an attempt to suppress highland identity and came hand-in-hand with the banning of bagpipes which were seen as instruments of war.
The ban was lifted and the once exclusively "highland dress" was now worn and considered everyday wear for both highlanders and lowlanders.
The kilt was formally introduced as a piece of national identity and respected by monarchs following King George IV choosing to wear one!
Although the kilt has seen many changes over the course of history, and faced a lot of issues, it is now an iconic piece of Scottish heritage and is celebrated formal wear.


Next week, committees in the Washington State Legislature will be hearing legislation that would expand arbitrary zones where law-abiding citizens are left defenseless while nothing is done to hinder criminals. On February 11th, the Senate Committee on Law & Justice will be hearing Senate Bill 5434 and on February 13th, the House Committee on Civil Rights & Judiciary will be hearing the companion House Bill 1530. Please contact committee members and urge them to OPPOSE SB 5434 and HB 1530. Click the "Take Action" button below to contact committee members.
In addition, House Bill 1465, sponsored by Representative Roger Goodman (D-45), HB 1645 will be heard by the House Committee on Judiciary on February 15th. It would require CPL holders to undergo a state background check on handgun purchases instead of the instant NICS check that is currently being conducted as a courtesy by the FBI. Unfortunately, beginning July 1st, the FBI will no longer be conducting these courtesy NICS checks for CPL holders. Your NRA is actively working to find solutions that will continue to allow CPL holders to transfer firearms in a timely manner. Please stay tuned for further updates on this issue.


text:
Mory Abbey Military Cemetery is een Britse militaire begraafplaats met gesneuvelden uit de Eerste Wereldoorlog, gelegen in de Franse gemeente Mory.
De begraafplaats werd ontworpen door Edwin Lutyens en ligt aan de Rue de l'Abbaye op 470 m ten noordoosten van het dorpscentrum (Eglise Saint-Vaast). Ze sluit aan bij de gemeentelijke begraafplaats.

De begraafplaats ligt ongeveer 2,5 meter hoger dan het straatniveau en heeft een nagenoeg rechthoekig grondplan met aan de zuidwestelijke zijde een breder gedeelte waarin de Duitse graven liggen. Ze wordt gedeeltelijk begrensd door een natuurstenen muur of een haag. De open toegang bestaat uit een trap, onderbroken door twee terrassen en met in totaal achttien opwaartse treden evenwijdig met de muur die de begraafplaats afbakent langs de weg. Aan het einde van de trap staat het Cross of Sacrifice. De Stone of Remembrance staat bij de noordoostelijke muur.
De begraafplaats wordt onderhouden door de Commonwealth War Graves Commission en telt 849 graven waarbij 128 niet geïdentificeerde.

Geschiedenis
De dorpen Mory en Saint-Léger werden midden maart 1917 door Britse troepen bezet. Een jaar later konden ze de dorpen niettegenstaande een hardnekkige verdediging door de 40th en de 34th Divisions niet behouden maar aan het einde van de maand augustus werden de dorpen na zware gevechten door de 62nd (West Riding) en de Guards Division heroverd.

Vanaf eind maart 1917 werden de eerste Britse gesneuvelden hier begraven. De Duitse bijzettingen in een perceel aan de westkant van de begraafplaats gebeurden door Duitse of Britse troepen van maart tot augustus 1918. Ook door gevechtseenheden werden tot maart 1918 en opnieuw in augustus en september slachtoffers begraven. Toen waren perken I tot III voltooid. Na de wapenstilstand werden de perken IV en V met slachtoffers van de slagvelden tussen Saint-Léger en Bapaume, voornamelijk manschappen van de Guards Division, aangelegd.
Er werden ook concentraties met gesneuvelden vanuit de volgende kleinere begraafplaatsen bijgezet: Grenadier Guards Cemetery (26 doden) en Hally Copse East Cemetery (49 doden) in St. Léger en Mory French Cemetery (3 doden).
Onder de geïdentificeerde doden zijn er 516 Britten, 1 Australiër, 1 Nieuw-Zeelander en 203 Duitsers. Er ligt ook 1 Duitse gesneuvelde uit de Tweede Wereldoorlog.

Eén Brit (korporaal H. Sandford (Devonshire Regiment)) wordt met een Special Memorial (Known to be buried in this cemetery) herdacht omdat hij niet meer gelokaliseerd kon worden men neemt aan dat hij onder een naamloze grafzerk ligt.

Onderscheiden militairen
 Richard Annesley West, luitenant-kolonel bij de North Irish Horse werd onderscheiden met het Victoria Cross, tweemaal met de Distinguished Service Order en het Military Cross (VC, DSO and bar, MC).
 James Henry Chadwick, luitenant-kolonel bij het Manchester Regiment en Elias Tremlett, luitenant bij het Devonshire Regiment werden onderscheiden met de Distinguished Service Order (DSO).
 de kapiteins Alan John MacDonald Pemberton (Royal Flying Corps), S. Renton (Devonshire Regiment) en Henry Arthur Taylor (Royal Flying Corps) en de onderluitenants Bruce James Sloper (Machine Gun Corps)  en R.J. Flory (Honourable Artillery Company) werden onderscheiden met het Military Cross (MC).
 soldaat Albert Lee (Leinster Regiment) werd onderscheiden met de Distinguished Conduct Medal en de Military Medal (DCM, MM).
 nog 18 militairen werden onderscheiden met de Military Medal (MM).

 Begraafplaats in Pas-de-Calais
Begraafplaats van de CWGC in Frankrijk
Begraafplaats van de Eerste Wereldoorlog

redpajama_set_name: RedPajamaWikipedia


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text:
A'haz (possessor), eleventh king of Judah, son of Jotham, reigned 741–726, about sixteen years. At the time of his accession, Rezin king of Damascus and Pekah king of Israel had recently formed a league against Judah, and they proceeded to lay siege to Jerusalem. Upon this Isaiah hastened to give advice and encouragement to Ahaz, and the allies failed in their attack on Jerusalem. Isa. 7, 8, 9. But the allies inflicted a most severe injury on Judah by the capture of Elath, a flourishing port on the Red Sea, while the Philistines invaded the west and south. 2 Kings 16; 2 Chron. 28. Ahaz, having forfeited God's favor by his wickedness, sought deliverance from these numerous troubles by appealing to Tiglath-pileser king of Assyria, who freed him from his most formidable enemies. But Ahaz had to purchase this help at a costly price; he became tributary to Tiglath-pileser. He was weak, a gross idolater, and sought safety in heathen ceremonies, making his son pass through the fire to Molech, consulting wizards and necromancers, Isa. 8:19, and other idolatrous practices. 2 Kings 23:12. His only service of permanent value was the introduction of the sun-dial. He died at the age of 36, but was refused a burial with the kings his ancestors. 2 Chron. 28:27.
2.	Son of Micah. 1 Chron. 8:35, 36; 9:42.

redpajama_set_name: RedPajamaCommonCrawl


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If the event's kind is not "left click", repeat.
Track the mouse on the puzzle.
Allocate memory for the puzzle.
Make the puzzle's box 8 inches by 8 inches.
Center the puzzle's box in the screen's box.
Fetch the puzzle's picture from the path.
Resize the puzzle's picture to 8 inches by 8 inches.
Center the puzzle's picture in the puzzle's box.
Cut the puzzle into pieces.
Put the puzzle's left-top into a spot.
Allocate memory for a piece. Append the piece to the puzzle's pieces.
Put the spot and the spot plus 2 inches into the piece's box.
Extract the piece's picture using the piece's box.
Add 2 inches to the spot's left.
If the spot's left is less than the puzzle's right, repeat.
Put the puzzle's left into the spot's left.
Add 2 inches to the spot's top.
If the spot's top is the puzzle's bottom, break.
Get a piece from the pieces.
If the piece is nil, break.
Round the spot to the nearest multiple of 1/4 inch.
Center the piece's box on the spot.
Center the piece's picture on the spot.
Clear the screen without refreshing.
Get a piece from the puzzle's pieces.
Find a piece of the puzzle given the mouse's spot.
If the piece is nil, exit.
If the mouse's left button is up, exit.
Put the mouse's spot into a spot.
Get the piece from the puzzle's pieces (backwards).
If the spot is not in the piece's box, repeat.
Note that we "snap" the pieces to a 1/4-inch grid so they'll fit together easily. Note also that we search for pieces in the opposite order they are drawn (ie, backwards) so that the front-most piece gets selected first.