SectionItems.append() - Code Metrics - Inspection of "Merge pull request #215 from kinverarity1/issue214..." - kinverarity1/lasio - Measure and Improve Code Quality continuously with Scrutinizer

Completed

Push — master ( 525852...81f879 )

by Kent

created 2017-12-30 11:56 UTC

SectionItems.append() A

↳ Parent: SectionItems

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes	1
Bugs	0	Features	0

Metric	Value
cc	1
c	1
b	0
f	0
dl	0
loc	4
rs	10

import json
import logging

# The standard library OrderedDict was introduced in Python 2.7 so
# we have a third-party option to support Python 2.6

try:
    from collections import OrderedDict
except ImportError:
    from ordereddict import OrderedDict

import numpy as np

logger = logging.getLogger(__name__)


class HeaderItem(OrderedDict):

    '''Dictionary/namedtuple-style object for a LAS header line.

    Arguments:
        mnemonic (str): the mnemonic
        unit (str): the unit (no whitespace!)
        value (str): value
        descr (str): description

    These arguments are available for use as either items or attributes of the
    object.

    '''
    def __init__(self, mnemonic='', unit='', value='', descr=''):
        super(HeaderItem, self).__init__()

        # The original mnemonic needs to be stored for rewriting a new file.
        # it might be nothing - '' - or a duplicate e.g. two 'RHO' curves,
        # or unique - 'X11124' - or perhaps invalid??
        # It will be used only when exporting.

        self.original_mnemonic = mnemonic

        # We also need to store a more useful mnemonic, which will be used
        # (technically not, but read on) for people to access the curve while
        # the LASFile object exists. For example, a curve which is unnamed
        # and has an original_mnemonic of '' will be accessed as 'UNKNOWN'.
        # It is used in contexts where duplicate mnemonics are acceptable.

        if mnemonic.strip() == '':
            self.useful_mnemonic = 'UNKNOWN'
        else:
            self.useful_mnemonic = mnemonic

        # But note that we need to (later) check (repeatedly) for duplicate
        # mnemonics. Any duplicates will have ':1', ':2', ':3', etc., appended
        # to them. The result of this will be stored as the
        # HeaderItem.mnemonic attribute through the below method.
        # It is used in contexts where duplicate mnemonics cannot exist.

        self.set_session_mnemonic_only(self.useful_mnemonic)

        self.unit = unit
        self.value = value
        self.descr = descr

    def set_session_mnemonic_only(self, value):
        '''Set the mnemonic for session use.

        See source comments for :class:`lasio.las_items.HeaderItem.__init__` 
        for a more in-depth explanation.

        '''
        super(HeaderItem, self).__setattr__('mnemonic', value)

    def __getitem__(self, key):
        '''Provide item dictionary-like access.'''
        if key == 'mnemonic':
            return self.mnemonic
        elif key == 'original_mnemonic':
            return self.original_mnemonic
        elif key == 'useful_mnemonic':
            return self.useful_mnemonic
        elif key == 'unit':
            return self.unit
        elif key == 'value':
            return self.value
        elif key == 'descr':
            return self.descr
        else:
            raise KeyError(
                'CurveItem only has restricted items (not %s)' % key)

    def __setattr__(self, key, value):
        
        # The user wants to rename the item! This means we must send their
        # new mnemonic to the original_mnemonic attribute. Remember that the
        # mnemonic attribute is for session use only.

        if key == 'mnemonic':
            super(HeaderItem, self).__setattr__('original_mnemonic', value)

        # Otherwise it's fine.

        super(HeaderItem, self).__setattr__(key, value)

    def __repr__(self):
        result = (
            '%s(mnemonic=%s, unit=%s, value=%s, '
            'descr=%s)' % (
                self.__class__.__name__, self.mnemonic, self.unit, self.value,
                self.descr))
        if len(result) > 80:
            return result[:76] + '...)'
        else:
            return result

    def _repr_pretty_(self, p, cycle):
        return p.text(self.__repr__())

    def __reduce__(self):
        return self.__class__, (self.mnemonic, self.unit, self.value, 
                                self.descr)

    @property
    def json(self):
        return json.dumps({
            '_type': self.__class__.__name__,
            'mnemonic': self.original_mnemonic,
            'unit': self.unit,
            'value': self.value,
            'descr': self.descr
            })

    @json.setter
    def json(self, value):
        raise Exception('Cannot set objects from JSON')


class CurveItem(HeaderItem):

    '''Dictionary/namedtuple-style object for a LAS curve.

    See :class:`lasio.las_items.HeaderItem`` for the (keyword) arguments.

    Keyword Arguments:
        data (array-like, 1-D): the curve's data.

    '''

    def __init__(self, *args, **kwargs):
        if "data" in kwargs:
            self.data = np.asarray(kwargs["data"])
            del kwargs["data"]
        else:
            self.data = np.ndarray([])
        super(CurveItem, self).__init__(*args, **kwargs)

    @property
    def API_code(self):
        '''Equivalent to the ``value`` attribute.'''
        return self.value

    def __repr__(self):
        return (
            '%s(mnemonic=%s, unit=%s, value=%s, '
            'descr=%s, original_mnemonic=%s, data.shape=%s)' % (
                self.__class__.__name__, self.mnemonic, self.unit, self.value,
                self.descr, self.original_mnemonic, self.data.shape))

    @property
    def json(self):
        return json.dumps({
            '_type': self.__class__.__name__,
            'mnemonic': self.original_mnemonic,
            'unit': self.unit,
            'value': self.value,
            'descr': self.descr,
            'data': list(self.data),
            })

    @json.setter
    def json(self, value):
        raise Exception('Cannot set objects from JSON')


class SectionItems(list):

    '''Variant of a ``list`` which is used to represent a LAS section.

    '''
    def __init__(self, *args, **kwargs):
        super(SectionItems, self).__init__(*args, **kwargs)
        super(SectionItems, self).__setattr__('mnemonic_transforms', False)

    def __str__(self):
        rstr_lines = []
        data = [['Mnemonic', 'Unit', 'Value', 'Description'],
                ['--------', '----', '-----', '-----------']]
        data += [[str(x) for x in [item.mnemonic, item.unit, item.value, 
                                   item.descr]] for item in self]
        col_widths = []
        for i in range(len(data[0])):
            col_widths.append(max([len(row[i]) for row in data]))
        for row in data:
            line_items = []
            for i, item in enumerate(row):
                line_items.append(item.ljust(col_widths[i] + 2))
            rstr_lines.append(''.join(line_items))
        return '\n'.join(rstr_lines)

    def mnemonic_compare(self, one, two):
        if self.mnemonic_transforms:
            try:
                if one.upper() == two.upper():
                    return True
            except AttributeError:
                pass
        else:
            if one == two:
                return True
        return False

    def __contains__(self, testitem):
        '''Check whether a header item or mnemonic is in the section.

        Arguments:
            testitem (HeaderItem, CurveItem, str): either an item or a mnemonic

        Returns:
            bool

        '''
        for item in self:
            if self.mnemonic_compare(testitem, item.mnemonic):
                return True
            elif hasattr(testitem, 'mnemonic'):
                if self.mnemonic_compare(testitem.mnemonic, item.mnemonic):
                    return True
            elif testitem is item:
                return True
        else:
            return False

    def keys(self):
        '''Return mnemonics of all the HeaderItems in the section.'''
        return [item.mnemonic for item in self]

    def values(self):
        '''Return HeaderItems in the section.'''
        return self

    def items(self):
        '''Return pairs of (mnemonic, HeaderItem) from the section.'''
        return [(item.mnemonic, item) for item in self]

    def iterkeys(self):
        return iter(self.keys())

    def itervalues(self):
        return iter(self)

    def iteritems(self):
        return iter(self.items())

    def __getslice__(self, i0, i1):
        '''For Python 2.7 compatibility.'''
        return self.__getitem__(slice(i0, i1))

    def __getitem__(self, key):
        '''Item-style access by either mnemonic or index.

        Arguments:
            key (str, int, slice): either a mnemonic or the index to the list.

        Returns:
            item from the list (either HeaderItem or CurveItem)

        '''
        if isinstance(key, slice):
            return SectionItems(super(SectionItems, self).__getitem__(key))
        for item in self:
            if self.mnemonic_compare(item.mnemonic, key):
                return item
        if isinstance(key, int):
            return super(SectionItems, self).__getitem__(key)
        else:
            raise KeyError('%s not in %s' % (key, self.keys()))

    def __delitem__(self, key):
        '''Delete item by either mnemonic or index.

        Arguments:
            key (str, int): either a mnemonic or the index to the list.

        '''
        for ix, item in enumerate(self):
            if self.mnemonic_compare(item.mnemonic, key):
                super(SectionItems, self).__delitem__(ix)
                return
        if isinstance(key, int):
            super(SectionItems, self).__delitem__(key)
            return
        else:
            raise KeyError('%s not in %s' % (key, self.keys()))

    def __setitem__(self, key, newitem):
        '''Either replace the item or its value.

        Arguments:
            key (int, str): either the mnemonic or the index.
            newitem (HeaderItem or str/float/int): the thing to be set.

        If ``newitem`` is a :class:`lasio.las_items.HeaderItem` then the
        existing item will be replaced. Otherwise the existing item's ``value``
        attribute will be replaced.

        i.e. this allows us to do

            >>> section.OPERATOR
            HeaderItem(mnemonic='OPERATOR', value='John')
            >>> section.OPERATOR = 'Kent'
            >>> section.OPERATOR
            HeaderItem(mnemonic='OPERATOR', value='Kent')

        See :meth:`lasio.las_items.SectionItems.set_item` and 
        :meth:`lasio.las_items.SectionItems.set_item_value`.

        '''
        if isinstance(newitem, HeaderItem):
            self.set_item(key, newitem)
        else:
            self.set_item_value(key, newitem)

    def __getattr__(self, key):
        '''Provide attribute access via __contains__ e.g.

            >>> section['VERS']
            HeaderItem(mnemonic='VERS', ...)
            >>> 'VERS' in section
            True
            >>> section.VERS
            HeaderItem(mnemonic='VERS', ...)

        '''
        known_attrs = ['mnemonic_transforms', ]
        if not key in known_attrs:
            if key in self:
                return self[key]
        super(SectionItems, self).__getattr__(key)

    def __setattr__(self, key, value):
        '''Allow access to :meth:`lasio.las_items.SectionItems.__setitem__`
        via attribute access.

        '''
        if key in self:
            self[key] = value
        else:
            super(SectionItems, self).__setattr__(key, value)

    def set_item(self, key, newitem):
        '''Replace an item by comparison of session mnemonics.

        Arguments:
            key (str): the item mnemonic (or HeaderItem with mnemonic) 
                you want to replace.
            newitem (HeaderItem): the new item

        If **key** is not present, it appends **newitem**.

        '''
        for i, item in enumerate(self):
            if self.mnemonic_compare(key, item.mnemonic):

                # This is very important. We replace items where
                # 'mnemonic' is equal - i.e. we do not check 
                # against useful_mnemonic or original_mnemonic.

                return super(SectionItems, self).__setitem__(i, newitem)
        else:
            self.append(newitem)

    def set_item_value(self, key, value):
        '''Set the ``value`` attribute of an item.

        Arguments:
            key (str): the mnemonic of the item (or HeaderItem with the
                mnemonic) you want to edit
            value (str, int, float): the new value.

        '''
        self[key].value = value

    def append(self, newitem):
        '''Append a new HeaderItem to the object.'''
        super(SectionItems, self).append(newitem)
        self.assign_duplicate_suffixes(newitem.useful_mnemonic)

    def insert(self, i, newitem):
        '''Insert a new HeaderItem to the object.'''
        super(SectionItems, self).insert(i, newitem)
        self.assign_duplicate_suffixes(newitem.useful_mnemonic)

    def assign_duplicate_suffixes(self, test_mnemonic=None):
        '''Check and re-assign suffixes for duplicate mnemonics.

        Arguments:
            test_mnemonic (str, optional): check for duplicates of
                this mnemonic. If it is None, check all mnemonics.

        '''
        if test_mnemonic is None:
            for test_mnemonic in {i.useful_mnemonic for i in self}:
                self.assign_duplicate_suffixes(test_mnemonic)
        else:
            existing = [item.useful_mnemonic for item in self]
            locations = []
            for i, item in enumerate(self):
                if self.mnemonic_compare(item.useful_mnemonic, test_mnemonic):
                    locations.append(i)
            if len(locations) > 1:
                current_count = 1
                for i, loc in enumerate(locations):
                    item = self[loc]
                    item.set_session_mnemonic_only(item.useful_mnemonic + ':%d'
                                                % (i + 1))

    def dictview(self):
        '''View of mnemonics and values as a dict.

        Returns:
            dict - keys are the mnemonics and the values are the ``value``
            attributes.
        '''
        return dict(zip(self.keys(), [i.value for i in self.values()]))

    @property
    def json(self):
        return json.dumps(
            [item.json for item in self.values()])

    @json.setter
    def json(self, value):
        raise Exception('Cannot set objects from JSON')

1			import json
2			import logging
3
4			# The standard library OrderedDict was introduced in Python 2.7 so
5			# we have a third-party option to support Python 2.6
6
7			try:
8			from collections import OrderedDict
9			except ImportError:
10			from ordereddict import OrderedDict
11
12			import numpy as np
13
14			logger = logging.getLogger(__name__)
15
16
17			class HeaderItem(OrderedDict):
18
19			'''Dictionary/namedtuple-style object for a LAS header line.
20
21			Arguments:
22			mnemonic (str): the mnemonic
23			unit (str): the unit (no whitespace!)
24			value (str): value
25			descr (str): description
26
27			These arguments are available for use as either items or attributes of the
28			object.
29
30			'''
31			def __init__(self, mnemonic='', unit='', value='', descr=''):
32			super(HeaderItem, self).__init__()
33
34			# The original mnemonic needs to be stored for rewriting a new file.
35			# it might be nothing - '' - or a duplicate e.g. two 'RHO' curves,
36			# or unique - 'X11124' - or perhaps invalid??
37			# It will be used only when exporting.
38
39			self.original_mnemonic = mnemonic
40
41			# We also need to store a more useful mnemonic, which will be used
42			# (technically not, but read on) for people to access the curve while
43			# the LASFile object exists. For example, a curve which is unnamed
44			# and has an original_mnemonic of '' will be accessed as 'UNKNOWN'.
45			# It is used in contexts where duplicate mnemonics are acceptable.
46
47			if mnemonic.strip() == '':
48			self.useful_mnemonic = 'UNKNOWN'
49			else:
50			self.useful_mnemonic = mnemonic
51
52			# But note that we need to (later) check (repeatedly) for duplicate
53			# mnemonics. Any duplicates will have ':1', ':2', ':3', etc., appended
54			# to them. The result of this will be stored as the
55			# HeaderItem.mnemonic attribute through the below method.
56			# It is used in contexts where duplicate mnemonics cannot exist.
57
58			self.set_session_mnemonic_only(self.useful_mnemonic)
59
60			self.unit = unit
61			self.value = value
62			self.descr = descr
63
64			def set_session_mnemonic_only(self, value):
65			'''Set the mnemonic for session use.
66
67			See source comments for :class:`lasio.las_items.HeaderItem.__init__`
68			for a more in-depth explanation.
69
70			'''
71			super(HeaderItem, self).__setattr__('mnemonic', value)
72
73			def __getitem__(self, key):
74			'''Provide item dictionary-like access.'''
75			if key == 'mnemonic':
76			return self.mnemonic
77			elif key == 'original_mnemonic':
78			return self.original_mnemonic
79			elif key == 'useful_mnemonic':
80			return self.useful_mnemonic
81			elif key == 'unit':
82			return self.unit
83			elif key == 'value':
84			return self.value
85			elif key == 'descr':
86			return self.descr
87			else:
88			raise KeyError(
89			'CurveItem only has restricted items (not %s)' % key)
90
91			def __setattr__(self, key, value):
92
93			# The user wants to rename the item! This means we must send their
94			# new mnemonic to the original_mnemonic attribute. Remember that the
95			# mnemonic attribute is for session use only.
96
97			if key == 'mnemonic':
98			super(HeaderItem, self).__setattr__('original_mnemonic', value)
99
100			# Otherwise it's fine.
101
102			super(HeaderItem, self).__setattr__(key, value)
103
104			def __repr__(self):
105			result = (
106			'%s(mnemonic=%s, unit=%s, value=%s, '
107			'descr=%s)' % (
108			self.__class__.__name__, self.mnemonic, self.unit, self.value,
109			self.descr))
110			if len(result) > 80:
111			return result[:76] + '...)'
112			else:
113			return result
114
115			def _repr_pretty_(self, p, cycle):
116			return p.text(self.__repr__())
117
118			def __reduce__(self):
119			return self.__class__, (self.mnemonic, self.unit, self.value,
120			self.descr)
121
122			@property
123			def json(self):
124			return json.dumps({
125			'_type': self.__class__.__name__,
126			'mnemonic': self.original_mnemonic,
127			'unit': self.unit,
128			'value': self.value,
129			'descr': self.descr
130			})
131
132			@json.setter
133			def json(self, value):
134			raise Exception('Cannot set objects from JSON')
135
136
137			class CurveItem(HeaderItem):
138
139			'''Dictionary/namedtuple-style object for a LAS curve.
140
141			See :class:`lasio.las_items.HeaderItem`` for the (keyword) arguments.
142
143			Keyword Arguments:
144			data (array-like, 1-D): the curve's data.
145
146			'''
147
148			def __init__(self, args, *kwargs):
149			if "data" in kwargs:
150			self.data = np.asarray(kwargs["data"])
151			del kwargs["data"]
152			else:
153			self.data = np.ndarray([])
154			super(CurveItem, self).__init__(args, *kwargs)
155
156			@property
157			def API_code(self):
158			'''Equivalent to the ``value`` attribute.'''
159			return self.value
160
161			def __repr__(self):
162			return (
163			'%s(mnemonic=%s, unit=%s, value=%s, '
164			'descr=%s, original_mnemonic=%s, data.shape=%s)' % (
165			self.__class__.__name__, self.mnemonic, self.unit, self.value,
166			self.descr, self.original_mnemonic, self.data.shape))
167
168			@property
169			def json(self):
170			return json.dumps({
171			'_type': self.__class__.__name__,
172			'mnemonic': self.original_mnemonic,
173			'unit': self.unit,
174			'value': self.value,
175			'descr': self.descr,
176			'data': list(self.data),
177			})
178
179			@json.setter
180			def json(self, value):
181			raise Exception('Cannot set objects from JSON')
182
183
184			class SectionItems(list):
185
186			'''Variant of a ``list`` which is used to represent a LAS section.
187
188			'''
189			def __init__(self, args, *kwargs):
190			super(SectionItems, self).__init__(args, *kwargs)
191			super(SectionItems, self).__setattr__('mnemonic_transforms', False)
192
193			def __str__(self):
194			rstr_lines = []
195			data = [['Mnemonic', 'Unit', 'Value', 'Description'],
196			['--------', '----', '-----', '-----------']]
197			data += [[str(x) for x in [item.mnemonic, item.unit, item.value,
198			item.descr]] for item in self]
199			col_widths = []
200			for i in range(len(data[0])):
201			col_widths.append(max([len(row[i]) for row in data]))
202			for row in data:
203			line_items = []
204			for i, item in enumerate(row):
205			line_items.append(item.ljust(col_widths[i] + 2))
206			rstr_lines.append(''.join(line_items))
207			return '\n'.join(rstr_lines)
208
209			def mnemonic_compare(self, one, two):
210			if self.mnemonic_transforms:
211			try:
212			if one.upper() == two.upper():
213			return True
214			except AttributeError:
215			pass
216			else:
217			if one == two:
218			return True
219			return False
220
221			def __contains__(self, testitem):
222			'''Check whether a header item or mnemonic is in the section.
223
224			Arguments:
225			testitem (HeaderItem, CurveItem, str): either an item or a mnemonic
226
227			Returns:
228			bool
229
230			'''
231			for item in self:
232			if self.mnemonic_compare(testitem, item.mnemonic):
233			return True
234			elif hasattr(testitem, 'mnemonic'):
235			if self.mnemonic_compare(testitem.mnemonic, item.mnemonic):
236			return True
237			elif testitem is item:
238			return True
239			else:
240			return False
241
242			def keys(self):
243			'''Return mnemonics of all the HeaderItems in the section.'''
244			return [item.mnemonic for item in self]
245
246			def values(self):
247			'''Return HeaderItems in the section.'''
248			return self
249
250			def items(self):
251			'''Return pairs of (mnemonic, HeaderItem) from the section.'''
252			return [(item.mnemonic, item) for item in self]
253
254			def iterkeys(self):
255			return iter(self.keys())
256
257			def itervalues(self):
258			return iter(self)
259
260			def iteritems(self):
261			return iter(self.items())
262
263			def __getslice__(self, i0, i1):
264			'''For Python 2.7 compatibility.'''
265			return self.__getitem__(slice(i0, i1))
266
267			def __getitem__(self, key):
268			'''Item-style access by either mnemonic or index.
269
270			Arguments:
271			key (str, int, slice): either a mnemonic or the index to the list.
272
273			Returns:
274			item from the list (either HeaderItem or CurveItem)
275
276			'''
277			if isinstance(key, slice):
278			return SectionItems(super(SectionItems, self).__getitem__(key))
279			for item in self:
280			if self.mnemonic_compare(item.mnemonic, key):
281			return item
282			if isinstance(key, int):
283			return super(SectionItems, self).__getitem__(key)
284			else:
285			raise KeyError('%s not in %s' % (key, self.keys()))
286
287			def __delitem__(self, key):
288			'''Delete item by either mnemonic or index.
289
290			Arguments:
291			key (str, int): either a mnemonic or the index to the list.
292
293			'''
294			for ix, item in enumerate(self):
295			if self.mnemonic_compare(item.mnemonic, key):
296			super(SectionItems, self).__delitem__(ix)
297			return
298			if isinstance(key, int):
299			super(SectionItems, self).__delitem__(key)
300			return
301			else:
302			raise KeyError('%s not in %s' % (key, self.keys()))
303
304			def __setitem__(self, key, newitem):
305			'''Either replace the item or its value.
306
307			Arguments:
308			key (int, str): either the mnemonic or the index.
309			newitem (HeaderItem or str/float/int): the thing to be set.
310
311			If ``newitem`` is a :class:`lasio.las_items.HeaderItem` then the
312			existing item will be replaced. Otherwise the existing item's ``value``
313			attribute will be replaced.
314
315			i.e. this allows us to do
316
317			>>> section.OPERATOR
318			HeaderItem(mnemonic='OPERATOR', value='John')
319			>>> section.OPERATOR = 'Kent'
320			>>> section.OPERATOR
321			HeaderItem(mnemonic='OPERATOR', value='Kent')
322
323			See :meth:`lasio.las_items.SectionItems.set_item` and
324			:meth:`lasio.las_items.SectionItems.set_item_value`.
325
326			'''
327			if isinstance(newitem, HeaderItem):
328			self.set_item(key, newitem)
329			else:
330			self.set_item_value(key, newitem)
331
332			def __getattr__(self, key):
333			'''Provide attribute access via __contains__ e.g.
334
335			>>> section['VERS']
336			HeaderItem(mnemonic='VERS', ...)
337			>>> 'VERS' in section
338			True
339			>>> section.VERS
340			HeaderItem(mnemonic='VERS', ...)
341
342			'''
343			known_attrs = ['mnemonic_transforms', ]
344			if not key in known_attrs:
345			if key in self:
346			return self[key]
347			super(SectionItems, self).__getattr__(key)
348
349			def __setattr__(self, key, value):
350			'''Allow access to :meth:`lasio.las_items.SectionItems.__setitem__`
351			via attribute access.
352
353			'''
354			if key in self:
355			self[key] = value
356			else:
357			super(SectionItems, self).__setattr__(key, value)
358
359			def set_item(self, key, newitem):
360			'''Replace an item by comparison of session mnemonics.
361
362			Arguments:
363			key (str): the item mnemonic (or HeaderItem with mnemonic)
364			you want to replace.
365			newitem (HeaderItem): the new item
366
367			If key is not present, it appends newitem.
368
369			'''
370			for i, item in enumerate(self):
371			if self.mnemonic_compare(key, item.mnemonic):
372
373			# This is very important. We replace items where
374			# 'mnemonic' is equal - i.e. we do not check
375			# against useful_mnemonic or original_mnemonic.
376
377			return super(SectionItems, self).__setitem__(i, newitem)
378			else:
379			self.append(newitem)
380
381			def set_item_value(self, key, value):
382			'''Set the ``value`` attribute of an item.
383
384			Arguments:
385			key (str): the mnemonic of the item (or HeaderItem with the
386			mnemonic) you want to edit
387			value (str, int, float): the new value.
388
389			'''
390			self[key].value = value
391
392			def append(self, newitem):
393			'''Append a new HeaderItem to the object.'''
394			super(SectionItems, self).append(newitem)
395			self.assign_duplicate_suffixes(newitem.useful_mnemonic)
396
397			def insert(self, i, newitem):
398			'''Insert a new HeaderItem to the object.'''
399			super(SectionItems, self).insert(i, newitem)
400			self.assign_duplicate_suffixes(newitem.useful_mnemonic)
401
402			def assign_duplicate_suffixes(self, test_mnemonic=None):
403			'''Check and re-assign suffixes for duplicate mnemonics.
404
405			Arguments:
406			test_mnemonic (str, optional): check for duplicates of
407			this mnemonic. If it is None, check all mnemonics.
408
409			'''
410			if test_mnemonic is None:
411			for test_mnemonic in {i.useful_mnemonic for i in self}:
412			self.assign_duplicate_suffixes(test_mnemonic)
413			else:
414			existing = [item.useful_mnemonic for item in self]
415			locations = []
416			for i, item in enumerate(self):
417			if self.mnemonic_compare(item.useful_mnemonic, test_mnemonic):
418			locations.append(i)
419			if len(locations) > 1:
420			current_count = 1
421			for i, loc in enumerate(locations):
422			item = self[loc]
423			item.set_session_mnemonic_only(item.useful_mnemonic + ':%d'
424			% (i + 1))
425
426			def dictview(self):
427			'''View of mnemonics and values as a dict.
428
429			Returns:
430			dict - keys are the mnemonics and the values are the ``value``
431			attributes.
432			'''
433			return dict(zip(self.keys(), [i.value for i in self.values()]))
434
435			@property
436			def json(self):
437			return json.dumps(
438			[item.json for item in self.values()])
439
440			@json.setter
441			def json(self, value):
442			raise Exception('Cannot set objects from JSON')

kinverarity1 / lasio

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