SectionItems.mnemonic_compare() - Code Metrics - Inspection of "Merge pull request #212 from kinverarity1/issue210..." - kinverarity1/lasio - Measure and Improve Code Quality continuously with Scrutinizer

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Push — master ( afd9d8...0f19a6 )

by Kent

created 2017-12-21 02:22 UTC

SectionItems.mnemonic_compare() B

↳ Parent: SectionItems

Complexity

Conditions

Size

Total Lines

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	5
dl	0
loc	11
rs	8.5454
c	0
b	0
f	0

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??

        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'.

        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.

        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 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)

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

kinverarity1 / lasio

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SectionItems.mnemonic_compare() B

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