Unlock 30% off on Manual Testing Annual Plans this Holiday Season.

Copied to Clipboard!

How to use bunch method in hypothesis

Best Python code snippet using hypothesis

ordered_bunch.py

Source:ordered_bunch.py

1#!/usr/bin/env python2""" OrderedBunch is a subclass of OrderedDict with attribute-style access.3    4    >>> b = OrderedBunch()5    >>> b.hello = 'world'6    >>> b.hello7    'world'8    >>> b['hello'] += "!"9    >>> b.hello10    'world!'11    >>> b.foo = OrderedBunch(lol=True)12    >>> b.foo.lol13    True14    >>> b.foo is b['foo']15    True16    17    It is safe to import * from this module:18    19        __all__ = ('OrderedBunch', 'ordered_bunchify','ordered_unbunchify')20    21    ordered_un/bunchify provide dictionary conversion; Bunches can also be22    converted via OrderedBunch.to/fromOrderedDict().23    24    original source:25    https://pypi.python.org/pypi/bunch26"""27from .ordered_dict import OrderedDict28## Compatability Issues...29#try:30#    from collections import OrderedDict31#except ImportError:32#    from ordered_dict import OrderedDict33class OrderedBunch(OrderedDict):34    """ A dictionary that provides attribute-style access.35        36        >>> b = OrderedBunch()37        >>> b.hello = 'world'38        >>> b.hello39        'world'40        >>> b['hello'] += "!"41        >>> b.hello42        'world!'43        >>> b.foo = OrderedBunch(lol=True)44        >>> b.foo.lol45        True46        >>> b.foo is b['foo']47        True48        49        A OrderedBunch is a subclass of dict; it supports all the methods a dict does...50        51        >>> b.keys()52        ['foo', 'hello']53        54        Including update()...55        56        >>> b.update({ 'ponies': 'are pretty!' }, hello=42)57        >>> print(repr(b))58        OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')59        60        As well as iteration...61        62        >>> [ (k,b[k]) for k in b ]63        [('ponies', 'are pretty!'), ('foo', OrderedBunch(lol=True)), ('hello', 42)]64        65        And "splats".66        67        >>> "The {knights} who say {ni}!".format(**OrderedBunch(knights='lolcats', ni='can haz'))68        'The lolcats who say can haz!'69        70        See ordered_unbunchify/OrderedBunch.toOrderedDict, ordered_bunchify/OrderedBunch.fromOrderedDict for notes about conversion.71    """72    73    _initialized = False74    75    def __init__(self,*args,**kwarg):76        """ initializes the ordered dict77        """78        super(OrderedBunch,self).__init__(*args,**kwarg)79        self._initialized = True80    81    def __contains__(self, k):82        """ >>> b = OrderedBunch(ponies='are pretty!')83            >>> 'ponies' in b84            True85            >>> 'foo' in b86            False87            >>> b['foo'] = 4288            >>> 'foo' in b89            True90            >>> b.hello = 'hai'91            >>> 'hello' in b92            True93        """94        try:95            return hasattr(self, k) or dict.__contains__(self, k)96        except:97            return False98    99    # only called if k not found in normal places 100    def __getattr__(self, k):101        """ Gets key if it exists, otherwise throws AttributeError.102            103            nb. __getattr__ is only called if key is not found in normal places.104            105            >>> b = OrderedBunch(bar='baz', lol={})106            >>> b.foo107            Traceback (most recent call last):108                ...109            AttributeError: foo110            111            >>> b.bar112            'baz'113            >>> getattr(b, 'bar')114            'baz'115            >>> b['bar']116            'baz'117            118            >>> b.lol is b['lol']119            True120            >>> b.lol is getattr(b, 'lol')121            True122        """123        try:124            # Throws exception if not in prototype chain125            return object.__getattribute__(self, k)126        except AttributeError:127            try:128                return self[k]129            except KeyError:130                raise AttributeError(k)131    132    def __setattr__(self, k, v):133        """ Sets attribute k if it exists, otherwise sets key k. A KeyError134            raised by set-item (only likely if you subclass OrderedBunch) will 135            propagate as an AttributeError instead.136            137            >>> b = OrderedBunch(foo='bar', this_is='useful when subclassing')138            >>> b.values                            #doctest: +ELLIPSIS139            <built-in method values of OrderedBunch object at 0x...>140            >>> b.values = 'uh oh'141            >>> b.values142            'uh oh'143            >>> b['values']144            Traceback (most recent call last):145                ...146            KeyError: 'values'147        """148        149        if not self._initialized:150            # for OrderedDict initialization151            return object.__setattr__(self, k, v)152        153        try:154            # Throws exception if not in prototype chain155            object.__getattribute__(self, k)156        except AttributeError:157            try:158                self[k] = v159            except:160                raise AttributeError(k)161        else:162            object.__setattr__(self, k, v)163    164    def __delattr__(self, k):165        """ Deletes attribute k if it exists, otherwise deletes key k. A KeyError166            raised by deleting the key--such as when the key is missing--will167            propagate as an AttributeError instead.168            169            >>> b = OrderedBunch(lol=42)170            >>> del b.values171            Traceback (most recent call last):172                ...173            AttributeError: 'OrderedBunch' object attribute 'values' is read-only174            >>> del b.lol175            >>> b.lol176            Traceback (most recent call last):177                ...178            AttributeError: lol179        """180        try:181            # Throws exception if not in prototype chain182            object.__getattribute__(self, k)183        except AttributeError:184            try:185                del self[k]186            except KeyError:187                raise AttributeError(k)188        else:189            object.__delattr__(self, k)190    191    def toOrderedDict(self):192        """ Recursively converts a bunch back into a dictionary.193            194            >>> b = OrderedBunch(OrderedBunchunch(lol=True), hello=42, ponies='are pretty!')195            >>> b.toOrderedDict()196            {'ponies': 'are pretty!', 'foo': {'lol': True}, 'hello': 42}197            198            See ordered_unbunchify for more info.199        """200        return ordered_unbunchify(self)201    202    def __repr__(self):203        """ Invertible* string-form of a OrderedBunch.204            205            >>> b = OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')206            >>> print(repr(b))207            OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')208            >>> eval(repr(b))209            OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')210            211            (*) Invertible so long as collection contents are each repr-invertible.212        """213        keys = self.keys()214        args = ', '.join(['%s=%r' % (key, self[key]) for key in keys])215        return '%s(%s)' % (self.__class__.__name__, args)216    217    def __str__(self):218        """ String-form of a Bunch.219        """220        keys = self.keys()221        args = ', '.join(['%s=%r' % (key, self[key]) for key in keys])222        return '{%s}' % args    223    224    @staticmethod225    def fromOrderedDict(d):226        """ Recursively transforms a dictionary into a OrderedBunch via copy.227            228            >>> b = OrderedBunch.fromOrderedDict({'urmom': {'sez': {'what': 'what'}}})229            >>> b.urmom.sez.what230            'what'231            232            See ordered_bunchify for more info.233        """234        return ordered_bunchify(d)235# While we could convert abstract types like Mapping or Iterable, I think236# ordered_bunchify is more likely to "do what you mean" if it is conservative about237# casting (ex: isinstance(str,Iterable) == True ).238#239# Should you disagree, it is not difficult to duplicate this function with240# more aggressive coercion to suit your own purposes.241def ordered_bunchify(x):242    """ Recursively transforms a dictionary into a OrderedBunch via copy.243        244        >>> b = ordered_bunchify({'urmom': {'sez': {'what': 'what'}}})245        >>> b.urmom.sez.what246        'what'247        248        ordered_bunchify can handle intermediary dicts, lists and tuples (as well as 249        their subclasses), but ymmv on custom datatypes.250        251        >>> b = ordered_bunchify({ 'lol': ('cats', {'hah':'i win again'}), 252        ...         'hello': [{'french':'salut', 'german':'hallo'}] })253        >>> b.hello[0].french254        'salut'255        >>> b.lol[1].hah256        'i win again'257        258        nb. As dicts are not hashable, they cannot be nested in sets/frozensets.259    """260    if isinstance(x, dict):261        return OrderedBunch( (k, ordered_bunchify(v)) for k,v in x.iteritems() )262    elif isinstance(x, (list, tuple)):263        return type(x)( ordered_bunchify(v) for v in x )264    else:265        return x266def ordered_unbunchify(x):267    """ Recursively converts a OrderedBunch into a dictionary.268        269        >>> b = OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')270        >>> ordered_unbunchify(b)271        {'ponies': 'are pretty!', 'foo': {'lol': True}, 'hello': 42}272        273        ordered_unbunchify will handle intermediary dicts, lists and tuples (as well as274        their subclasses), but ymmv on custom datatypes.275        276        >>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42, 277        ...         ponies=('are pretty!', OrderedBunch(lies='are trouble!')))278        >>> ordered_unbunchify(b) #doctest: +NORMALIZE_WHITESPACE279        {'ponies': ('are pretty!', {'lies': 'are trouble!'}), 280         'foo': ['bar', {'lol': True}], 'hello': 42}281        282        nb. As dicts are not hashable, they cannot be nested in sets/frozensets.283    """284    if isinstance(x, OrderedDict):285        return OrderedDict( (k, ordered_unbunchify(v)) for k,v in x.iteritems() )    286    elif isinstance(x, dict):287        return dict( (k, ordered_unbunchify(v)) for k,v in x.iteritems() )288    elif isinstance(x, (list, tuple)):289        return type(x)( ordered_unbunchify(v) for v in x )290    else:291        return x292### Serialization293try:294    try:295        import json296    except ImportError:297        import simplejson as json298    299    def toJSON(self, **options):300        """ Serializes this OrderedBunch to JSON. Accepts the same keyword options as `json.dumps()`.301            302            >>> b = OrderedBunch(foo=OrderedBunch(lol=True), hello=42, ponies='are pretty!')303            >>> json.dumps(b)304            '{"ponies": "are pretty!", "foo": {"lol": true}, "hello": 42}'305            >>> b.toJSON()306            '{"ponies": "are pretty!", "foo": {"lol": true}, "hello": 42}'307        """308        return json.dumps(self, **options)309    310    OrderedBunch.toJSON = toJSON311    312except ImportError:313    pass314try:315    # Attempt to register ourself with PyYAML as a representer316    import yaml317    from yaml.representer import Representer, SafeRepresenter318    319    def from_yaml(loader, node):320        """ PyYAML support for Bunches using the tag `!bunch` and `!bunch.OrderedBunch`.321            322            >>> import yaml323            >>> yaml.load('''324            ... Flow style: !bunch.OrderedBunch { Clark: Evans, Brian: Ingerson, Oren: Ben-Kiki }325            ... Block style: !bunch326            ...   Clark : Evans327            ...   Brian : Ingerson328            ...   Oren  : Ben-Kiki329            ... ''') #doctest: +NORMALIZE_WHITESPACE330            {'Flow style': OrderedBunch(Brian='Ingerson', Clark='Evans', Oren='Ben-Kiki'), 331             'Block style': OrderedBunch(Brian='Ingerson', Clark='Evans', Oren='Ben-Kiki')}332            333            This module registers itself automatically to cover both OrderedBunch and any 334            subclasses. Should you want to customize the representation of a subclass,335            simply register it with PyYAML yourself.336        """337        data = OrderedBunch()338        yield data339        value = loader.construct_mapping(node)340        data.update(value)341    342    343    def to_yaml_safe(dumper, data):344        """ Converts OrderedBunch to a normal mapping node, making it appear as a345            dict in the YAML output.346            347            >>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)348            >>> import yaml349            >>> yaml.safe_dump(b, default_flow_style=True)350            '{foo: [bar, {lol: true}], hello: 42}\\n'351        """352        return dumper.represent_dict(data)353    354    def to_yaml(dumper, data):355        """ Converts OrderedBunch to a representation node.356            357            >>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)358            >>> import yaml359            >>> yaml.dump(b, default_flow_style=True)360            '!bunch.OrderedBunch {foo: [bar, !bunch.OrderedBunch {lol: true}], hello: 42}\\n'361        """362        return dumper.represent_mapping(u'!orderedbunch.OrderedBunch', data)363    364    365    yaml.add_constructor(u'!orderedbunch', from_yaml)366    yaml.add_constructor(u'!orderedbunch.OrderedBunch', from_yaml)367    368    SafeRepresenter.add_representer(OrderedBunch, to_yaml_safe)369    SafeRepresenter.add_multi_representer(OrderedBunch, to_yaml_safe)370    371    Representer.add_representer(OrderedBunch, to_yaml)372    Representer.add_multi_representer(OrderedBunch, to_yaml)373    374    375    # Instance methods for YAML conversion376    def toYAML(self, **options):377        """ Serializes this OrderedBunch to YAML, using `yaml.safe_dump()` if 378            no `Dumper` is provided. See the PyYAML documentation for more info.379            380            >>> b = OrderedBunch(foo=['bar', OrderedBunch(lol=True)], hello=42)381            >>> import yaml382            >>> yaml.safe_dump(b, default_flow_style=True)383            '{foo: [bar, {lol: true}], hello: 42}\\n'384            >>> b.toYAML(default_flow_style=True)385            '{foo: [bar, {lol: true}], hello: 42}\\n'386            >>> yaml.dump(b, default_flow_style=True)387            '!bunch.OrderedBunch {foo: [bar, !bunch.OrderedBunch {lol: true}], hello: 42}\\n'388            >>> b.toYAML(Dumper=yaml.Dumper, default_flow_style=True)389            '!bunch.OrderedBunch {foo: [bar, !bunch.OrderedBunch {lol: true}], hello: 42}\\n'390        """391        opts = dict(indent=4, default_flow_style=False)392        opts.update(options)393        if 'Dumper' not in opts:394            return yaml.safe_dump(self, **opts)395        else:396            return yaml.dump(self, **opts)397    398    def fromYAML(*args, **kwargs):399        return ordered_bunchify( yaml.load(*args, **kwargs) )400    401    OrderedBunch.toYAML = OrderedBunch.__repr__ = toYAML402    OrderedBunch.fromYAML = staticmethod(fromYAML)403    404except ImportError:...

bunch.py

Source:bunch.py

1#!/usr/bin/env python2""" Bunch is a subclass of dict with attribute-style access.3    4    >>> b = Bunch()5    >>> b.hello = 'world'6    >>> b.hello7    'world'8    >>> b['hello'] += "!"9    >>> b.hello10    'world!'11    >>> b.foo = Bunch(lol=True)12    >>> b.foo.lol13    True14    >>> b.foo is b['foo']15    True16    17    It is safe to import * from this module:18    19        __all__ = ('Bunch', 'bunchify','unbunchify')20    21    un/bunchify provide dictionary conversion; Bunches can also be22    converted via Bunch.to/fromDict().23    24    original source:25    https://pypi.python.org/pypi/bunch26"""27class Bunch(dict):28    """ A dictionary that provides attribute-style access.29        30        >>> b = Bunch()31        >>> b.hello = 'world'32        >>> b.hello33        'world'34        >>> b['hello'] += "!"35        >>> b.hello36        'world!'37        >>> b.foo = Bunch(lol=True)38        >>> b.foo.lol39        True40        >>> b.foo is b['foo']41        True42        43        A Bunch is a subclass of dict; it supports all the methods a dict does...44        45        >>> b.keys()46        ['foo', 'hello']47        48        Including update()...49        50        >>> b.update({ 'ponies': 'are pretty!' }, hello=42)51        >>> print(repr(b))52        Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')53        54        As well as iteration...55        56        >>> [ (k,b[k]) for k in b ]57        [('ponies', 'are pretty!'), ('foo', Bunch(lol=True)), ('hello', 42)]58        59        And "splats".60        61        >>> "The {knights} who say {ni}!".format(**Bunch(knights='lolcats', ni='can haz'))62        'The lolcats who say can haz!'63        64        See unbunchify/Bunch.toDict, bunchify/Bunch.fromDict for notes about conversion.65    """66    67    def __contains__(self, k):68        """ >>> b = Bunch(ponies='are pretty!')69            >>> 'ponies' in b70            True71            >>> 'foo' in b72            False73            >>> b['foo'] = 4274            >>> 'foo' in b75            True76            >>> b.hello = 'hai'77            >>> 'hello' in b78            True79        """80        try:81            return hasattr(self, k) or dict.__contains__(self, k)82        except:83            return False84    85    # only called if k not found in normal places 86    def __getattr__(self, k):87        """ Gets key if it exists, otherwise throws AttributeError.88            89            nb. __getattr__ is only called if key is not found in normal places.90            91            >>> b = Bunch(bar='baz', lol={})92            >>> b.foo93            Traceback (most recent call last):94                ...95            AttributeError: foo96            97            >>> b.bar98            'baz'99            >>> getattr(b, 'bar')100            'baz'101            >>> b['bar']102            'baz'103            104            >>> b.lol is b['lol']105            True106            >>> b.lol is getattr(b, 'lol')107            True108        """109        try:110            # Throws exception if not in prototype chain111            return object.__getattribute__(self, k)112        except AttributeError:113            try:114                return self[k]115            except KeyError:116                raise AttributeError(k)117    118    def __setattr__(self, k, v):119        """ Sets attribute k if it exists, otherwise sets key k. A KeyError120            raised by set-item (only likely if you subclass Bunch) will 121            propagate as an AttributeError instead.122            123            >>> b = Bunch(foo='bar', this_is='useful when subclassing')124            >>> b.values                            #doctest: +ELLIPSIS125            <built-in method values of Bunch object at 0x...>126            >>> b.values = 'uh oh'127            >>> b.values128            'uh oh'129            >>> b['values']130            Traceback (most recent call last):131                ...132            KeyError: 'values'133        """134        try:135            # Throws exception if not in prototype chain136            object.__getattribute__(self, k)137        except AttributeError:138            try:139                self[k] = v140            except:141                raise AttributeError(k)142        else:143            object.__setattr__(self, k, v)144    145    def __delattr__(self, k):146        """ Deletes attribute k if it exists, otherwise deletes key k. A KeyError147            raised by deleting the key--such as when the key is missing--will148            propagate as an AttributeError instead.149            150            >>> b = Bunch(lol=42)151            >>> del b.values152            Traceback (most recent call last):153                ...154            AttributeError: 'Bunch' object attribute 'values' is read-only155            >>> del b.lol156            >>> b.lol157            Traceback (most recent call last):158                ...159            AttributeError: lol160        """161        try:162            # Throws exception if not in prototype chain163            object.__getattribute__(self, k)164        except AttributeError:165            try:166                del self[k]167            except KeyError:168                raise AttributeError(k)169        else:170            object.__delattr__(self, k)171    172    def toDict(self):173        """ Recursively converts a bunch back into a dictionary.174            175            >>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')176            >>> b.toDict()177            {'ponies': 'are pretty!', 'foo': {'lol': True}, 'hello': 42}178            179            See unbunchify for more info.180        """181        return unbunchify(self)182    183    def __repr__(self):184        """ Invertible* string-form of a Bunch.185            186            >>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')187            >>> print(repr(b))188            Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')189            >>> eval(repr(b))190            Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')191            192            (*) Invertible so long as collection contents are each repr-invertible.193        """194        keys = self.keys()195        keys.sort()196        args = ', '.join(['%s=%r' % (key, self[key]) for key in keys])197        return '%s(%s)' % (self.__class__.__name__, args)198    199    def __str__(self):200        """ String-form of a OrderedBunch.201        """202        keys = self.keys()203        keys.sort()204        args = ', '.join(['%s=%r' % (key, self[key]) for key in keys])205        return '{%s}' % args206    207    @staticmethod208    def fromDict(d):209        """ Recursively transforms a dictionary into a Bunch via copy.210            211            >>> b = Bunch.fromDict({'urmom': {'sez': {'what': 'what'}}})212            >>> b.urmom.sez.what213            'what'214            215            See bunchify for more info.216        """217        return bunchify(d)218# While we could convert abstract types like Mapping or Iterable, I think219# bunchify is more likely to "do what you mean" if it is conservative about220# casting (ex: isinstance(str,Iterable) == True ).221#222# Should you disagree, it is not difficult to duplicate this function with223# more aggressive coercion to suit your own purposes.224def bunchify(x):225    """ Recursively transforms a dictionary into a Bunch via copy.226        227        >>> b = bunchify({'urmom': {'sez': {'what': 'what'}}})228        >>> b.urmom.sez.what229        'what'230        231        bunchify can handle intermediary dicts, lists and tuples (as well as 232        their subclasses), but ymmv on custom datatypes.233        234        >>> b = bunchify({ 'lol': ('cats', {'hah':'i win again'}), 235        ...         'hello': [{'french':'salut', 'german':'hallo'}] })236        >>> b.hello[0].french237        'salut'238        >>> b.lol[1].hah239        'i win again'240        241        nb. As dicts are not hashable, they cannot be nested in sets/frozensets.242    """243    if isinstance(x, dict):244        return Bunch( (k, bunchify(v)) for k,v in x.iteritems() )245    elif isinstance(x, (list, tuple)):246        return type(x)( bunchify(v) for v in x )247    else:248        return x249def unbunchify(x):250    """ Recursively converts a Bunch into a dictionary.251        252        >>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')253        >>> unbunchify(b)254        {'ponies': 'are pretty!', 'foo': {'lol': True}, 'hello': 42}255        256        unbunchify will handle intermediary dicts, lists and tuples (as well as257        their subclasses), but ymmv on custom datatypes.258        259        >>> b = Bunch(foo=['bar', Bunch(lol=True)], hello=42, 260        ...         ponies=('are pretty!', Bunch(lies='are trouble!')))261        >>> unbunchify(b) #doctest: +NORMALIZE_WHITESPACE262        {'ponies': ('are pretty!', {'lies': 'are trouble!'}), 263         'foo': ['bar', {'lol': True}], 'hello': 42}264        265        nb. As dicts are not hashable, they cannot be nested in sets/frozensets.266    """267    if isinstance(x, dict):268        return dict( (k, unbunchify(v)) for k,v in x.iteritems() )269    elif isinstance(x, (list, tuple)):270        return type(x)( unbunchify(v) for v in x )271    else:272        return x273### Serialization274try:275    try:276        import json277    except ImportError:278        import simplejson as json279    280    def toJSON(self, **options):281        """ Serializes this Bunch to JSON. Accepts the same keyword options as `json.dumps()`.282            283            >>> b = Bunch(foo=Bunch(lol=True), hello=42, ponies='are pretty!')284            >>> json.dumps(b)285            '{"ponies": "are pretty!", "foo": {"lol": true}, "hello": 42}'286            >>> b.toJSON()287            '{"ponies": "are pretty!", "foo": {"lol": true}, "hello": 42}'288        """289        return json.dumps(self, **options)290    291    Bunch.toJSON = toJSON292    293except ImportError:294    pass295try:296    # Attempt to register ourself with PyYAML as a representer297    import yaml298    from yaml.representer import Representer, SafeRepresenter299    300    def from_yaml(loader, node):301        """ PyYAML support for Bunches using the tag `!bunch` and `!bunch.Bunch`.302            303            >>> import yaml304            >>> yaml.load('''305            ... Flow style: !bunch.Bunch { Clark: Evans, Brian: Ingerson, Oren: Ben-Kiki }306            ... Block style: !bunch307            ...   Clark : Evans308            ...   Brian : Ingerson309            ...   Oren  : Ben-Kiki310            ... ''') #doctest: +NORMALIZE_WHITESPACE311            {'Flow style': Bunch(Brian='Ingerson', Clark='Evans', Oren='Ben-Kiki'), 312             'Block style': Bunch(Brian='Ingerson', Clark='Evans', Oren='Ben-Kiki')}313            314            This module registers itself automatically to cover both Bunch and any 315            subclasses. Should you want to customize the representation of a subclass,316            simply register it with PyYAML yourself.317        """318        data = Bunch()319        yield data320        value = loader.construct_mapping(node)321        data.update(value)322    323    324    def to_yaml_safe(dumper, data):325        """ Converts Bunch to a normal mapping node, making it appear as a326            dict in the YAML output.327            328            >>> b = Bunch(foo=['bar', Bunch(lol=True)], hello=42)329            >>> import yaml330            >>> yaml.safe_dump(b, default_flow_style=True)331            '{foo: [bar, {lol: true}], hello: 42}\\n'332        """333        return dumper.represent_dict(data)334    335    def to_yaml(dumper, data):336        """ Converts Bunch to a representation node.337            338            >>> b = Bunch(foo=['bar', Bunch(lol=True)], hello=42)339            >>> import yaml340            >>> yaml.dump(b, default_flow_style=True)341            '!bunch.Bunch {foo: [bar, !bunch.Bunch {lol: true}], hello: 42}\\n'342        """343        return dumper.represent_mapping(u'!bunch.Bunch', data)344    345    346    yaml.add_constructor(u'!bunch', from_yaml)347    yaml.add_constructor(u'!bunch.Bunch', from_yaml)348    349    SafeRepresenter.add_representer(Bunch, to_yaml_safe)350    SafeRepresenter.add_multi_representer(Bunch, to_yaml_safe)351    352    Representer.add_representer(Bunch, to_yaml)353    Representer.add_multi_representer(Bunch, to_yaml)354    355    356    # Instance methods for YAML conversion357    def toYAML(self, **options):358        """ Serializes this Bunch to YAML, using `yaml.safe_dump()` if 359            no `Dumper` is provided. See the PyYAML documentation for more info.360            361            >>> b = Bunch(foo=['bar', Bunch(lol=True)], hello=42)362            >>> import yaml363            >>> yaml.safe_dump(b, default_flow_style=True)364            '{foo: [bar, {lol: true}], hello: 42}\\n'365            >>> b.toYAML(default_flow_style=True)366            '{foo: [bar, {lol: true}], hello: 42}\\n'367            >>> yaml.dump(b, default_flow_style=True)368            '!bunch.Bunch {foo: [bar, !bunch.Bunch {lol: true}], hello: 42}\\n'369            >>> b.toYAML(Dumper=yaml.Dumper, default_flow_style=True)370            '!bunch.Bunch {foo: [bar, !bunch.Bunch {lol: true}], hello: 42}\\n'371        """372        opts = dict(indent=4, default_flow_style=False)373        opts.update(options)374        if 'Dumper' not in opts:375            return yaml.safe_dump(self, **opts)376        else:377            return yaml.dump(self, **opts)378    379    def fromYAML(*args, **kwargs):380        return bunchify( yaml.load(*args, **kwargs) )381    382    Bunch.toYAML = Bunch.__repr__ = toYAML383    Bunch.fromYAML = staticmethod(fromYAML)384    385except ImportError:...

NsBunchConfReader.py

Source:NsBunchConfReader.py

1import sys2import os3import random4import json5import random6import networkx as nx7import MultiDomainConfReader as MDCR8sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__),9    '../src')))10from vnfsMapping import MultiDomain as MD11from vnfsMapping import NS12from vnfsMapping import NsMapper as NSM13from vnfsMapping import NsMapping as NSm14from vnfsMapping import NsGenerator as NSG15# 16absPath = os.path.abspath(os.path.dirname(__file__))17configPath = '/'.join(absPath.split('/')[:-1]) + '/simulation-configs'18class NsBunchConfReader(object):19    """Class to read NS bunch configuration files"""20    def __init__(self, simName):21        """Initialize the reader instance22        :simName: name of the simulation23        """24        self.__simName = simName25        26    def __readConfig(self):27        """Reads the configuration file for the NsBunch28        :returns: dictionary, None in case of error29        """30        filePath = configPath + '/' + self.__simName + '/nsBunch.json'31        if not os.path.exists(filePath):32            return None33        nsBunchProperties = None34        with open(filePath) as f:35            nsBunchProperties = json.load(f)36        return nsBunchProperties37    def readDumped(self, multiDomain=None):38        """Reads an already dumped NS bunch based in the configuration file39        of the simulation.40        :multiDomain: MultiDomain instance, if not provided, it will be41            read/created from the simulation files under the directory42        :returns: [NS bunch list, entryPoint list]43            [None, None] if no Ns bunch have been created44        """45        if not os.path.exists(configPath + '/' + self.__simName +\46                '/nsBunch'):47            return None, None48        nsBunch = NSG.NSgenerator.readNsBunch('nsBunch',49                baseAbsPath=configPath + '/' + self.__simName)50        entryPoints = self.__genEntryPoints(len(nsBunch),51                multiDomain=multiDomain)52        return nsBunch, entryPoints53    def __genEntryPoints(self, requests, multiDomain=None):54        """Generates the entry points list. This implies writting the JSON file55        or reading it, if it has already been created.56        :requests: number of requests to obtain entry points from57        :multiDomain: MultiDomain instance, if not provided, it will be58            read/created from the simulation files under the directory59        :returns: list of dictionaries { 'domain':_, 'server':_ }60        """61        entryPoints = None62        # Generate where the requests will be launched63        mdCfgReader = MDCR.MultiDomainConfReader(self.__simName)64        mdProperties = mdCfgReader.readConfFields()65        entryPointsPath = configPath + '/' + self.__simName +\66                '/entryPoints.json'67        # Retrieve the multiDomain instance68        md = None69        if not multiDomain:70            md = mdCfgReader.readDumped()71            if not md:72                md = mdCfgReader.read()73        else:74            md = multiDomain75        ############76        # Generate #77        ############78        if not os.path.exists(entryPointsPath):79            # Generate NS request entry points 80            nsEntryPoints = []81            for _ in range(requests):82                domain = random.randint(0, mdProperties['domains'] - 1)83                serverDicts = md.getServers(domain)84                servers = serverDicts.keys()85                server = servers[random.randint(0, len(servers) - 1)]86                nsEntryPoints.append({ "domain": domain, "server": server })87            # Dump them88            with open(entryPointsPath, 'w') as entryOut:89                json.dump(nsEntryPoints, entryOut)90        ########91        # Read #92        ########93        else:94            with open(entryPointsPath) as f:95                nsEntryPoints = json.load(f)96        return nsEntryPoints97    def read(self, multiDomain=None):98        """Reads the configuration file to generate the NS bunch99        based on the config file of the simulation. After generating the100        NS bunch, it is stored as a list of GML files with its properties.101        :multiDomain: multiDomain on top of which the the NS bunch are mapped102        :returns: [list of NS instances, list of entry points]103            [None, None] in case of error104        """105        nsBunchProperties = self.__readConfig()106        if not nsBunchProperties:107            return None, None108        nsBunch = NSG.NSgenerator.genNsBunch(109                nsBunchProperties['numNs'],110                nsBunchProperties['bwTh'],111                nsBunchProperties['delayTh'],112                nsBunchProperties['memoryTh'],113                nsBunchProperties['diskTh'],114                nsBunchProperties['cpuTh'],115                nsBunchProperties['splits'],116                nsBunchProperties['splitWidth'],117                nsBunchProperties['branches'],118                nsBunchProperties['vnfs'])119        NSG.NSgenerator.writeNsBunch(nsBunch, 'nsBunch',120                baseAbsPath=configPath + '/' + self.__simName)121        entryPoints = self.__genEntryPoints(nsBunchProperties['numNs'],122                multiDomain=multiDomain)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.