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How to use variables method in play_selenium

Best Python code snippet using play_selenium_python

variables.py

Source:variables.py

1class VariablesDict:2    """3    A VariablesDict is a sort of dictionary with special4    features, created to manage the variables of a monomial.5    In this case, we'll call keys variables and6    values exponents.7    Its main features are:8    - A VariablesDict is immutable9    - The default exponent is 0; therefore, variables with exponent 0 aren't stored10    - Variables aren't case sensitive11    - Variables must be letters from the latin alphabet and one-character long12    - Exponents must be positive integer13    """14    def __init__(self, variables=None, **kwargs):15        """16        Initialize the VariablesDict by giving it17        the pairs variable: exponent storing them18        in a dict (variables) or as keyword arguments:19        >>> VariablesDict({'x': 5, 'y': 3})20        {'x': 5, 'y': 3}21        >>> VariablesDict(x=5, y=3)22        {'x': 5, 'y': 3}23        NB: Variables are sorted24        >>> VariablesDict(k=2, b=3)25        {'b': 3, 'k': 2}26        As said above, variables aren't case sensitive, so27        they're always made lowercase28        >>> VariablesDict(X=2)29        {'x': 2}30        It also converts the exponent in integer if it's a whole number31        >>> VariablesDict(x=3.0)32        {'x': 3}33        It can raise an error if:34        - `variable` is not a string35        >>> VariablesDict({9: 9})36        Traceback (most recent call last):37        ...38        TypeError: variable's name must be a string39        - `variable` is too long40        >>> VariablesDict(xy=3)41        Traceback (most recent call last):42        ...43        ValueError: variable's name length must be one44        - `variable` is not alphabetical45        >>> VariablesDict(x2=9)46        Traceback (most recent call last):47        ...48        ValueError: variable's name must be alphabetical49        - `exponent` is not an integer (or a whole number)50        >>> VariablesDict(k=[])51        Traceback (most recent call last):52        ...53        TypeError: variable's exponent must be int54        >>> VariablesDict(z=7.13)55        Traceback (most recent call last):56        ...57        TypeError: variable's exponent must be a whole number58        - `exponent` is negative59        >>> VariablesDict(f=-3)60        Traceback (most recent call last):61        ...62        ValueError: variable's exponent must be positive63        It also checks if the dict is empty:64        >>> VariablesDict(a=2, b=8, c=3).is_empty65        False66        >>> VariablesDict(x=0).is_empty67        True68        :raise: TypeError, ValueError69        """70        # look for variables71        if not variables:72            variables = kwargs73        items = {}74        for variable, exponent in variables.items():75            # Check variable's name76            if not isinstance(variable, str):77                raise TypeError("variable's name must be a string")78            elif not variable.isalpha():79                raise ValueError("variable's name must be alphabetical")80            elif len(variable) > 1:81                raise ValueError("variable's name length must be one")82            # Check variable's exponent83            if not isinstance(exponent, (int, float)):84                raise TypeError("variable's exponent must be int")85            elif isinstance(exponent, float) and not exponent.is_integer():86                raise TypeError("variable's exponent must be a whole number")87            elif exponent < 0:88                raise ValueError("variable's exponent must be positive")89            # Add it to the items90            if not exponent == 0:91                items[variable.lower()] = int(exponent)92        # Set items93        self.__items = tuple(sorted((v, e) for v, e in items.items()))94        # Check if it's empty95        self.is_empty = not bool(len(self))96    ###  Items97    def __getitem__(self, variable):98        """99        Returns the exponent for the given variable100        >>> VariablesDict(a=2)['a']101        2102        It returns 0 if that variable does not exists103        >>> VariablesDict(a=2)['b']104        0105        It can return an error if:106        - `variable` is not a string107        >>> VariablesDict({9: 9})108        Traceback (most recent call last):109        ...110        TypeError: variable's name must be a string111        - `variable` is too long112        >>> VariablesDict(xy=3)113        Traceback (most recent call last):114        ...115        ValueError: variable's name length must be one116        - `variable` is not alphabetical117        >>> VariablesDict(x2=9)118        Traceback (most recent call last):119        ...120        ValueError: variable's name must be alphabetical121        :type variable: string122        :rtype: int123        """124        # Check if kye is valid125        if not isinstance(variable, str):126            raise TypeError("variable's name must be a string")127        elif not variable.isalpha():128            raise ValueError("variable's name must be alphabetical")129        elif len(variable) > 1:130            raise ValueError("variable's name length must be one")131        variable = variable.lower()132        # Look if there is that variable in the dict133        for item in self.__items:134            if item[0] == variable:135                return item[1]136        # Otherwise return 0137        return 0138    def exponents(self):139        """140        Returns the exponents of the VariablesDict141        as a tuple142        >>> VariablesDict(a=2, b=3).exponents()143        (2, 3)144        :rtype: tuple145        """146        return tuple(item[1] for item in self.__items)147    def items(self):148        """149        Returns the pairs variable-exponent of the150        VariablesDict as a tuple of tuples151        >>> VariablesDict(a=2, b=3).items()152        (('a', 2), ('b', 3))153        :rtype: tuple154        """155        return self.__items156    def __iter__(self):157        """158        Returns the iterator of the VariablesDict159        >>> iter(VariablesDict(a=2, b=3))160        {'a': 2, 'b': 3}161        For more informations see :func:`VariablesDict.__next__()`.162        :rtype: VariablesDict163        """164        self.itern = 0165        return self166    def __next__(self):167        """168        Gets the next variable in the VariablesDict169        >>> i = iter(VariablesDict(a=2, b=3))170        >>> next(i)171        'a'172        >>> next(i)173        'b'174        >>> next(i)175        Traceback (most recent call last):176        ...177        StopIteration178        :rtype: str179        :raise: StopIteration180        """181        try:182            variable = self.__items[self.itern][0]183            self.itern += 1184            return variable185        except IndexError:186            raise StopIteration187    def __len__(self):188        """189        Returns the dict's len190        >>> len(VariablesDict(a=2, b=3))191        2192        :rtype: int193        """194        return len(self.__items)195    # Representation196    def __str__(self):197        """198        Returns the VariablesDict as a string, like a normal dict199        >>> str(VariablesDict(x=2, y=3))200        "{'x': 2, 'y': 3}"201        :rtype: str202        """203        return str({item[0]: item[1] for item in self.__items})204    def __repr__(self):205        """206        Returns the VariablesDict as a string207        >>> repr(VariablesDict(y=5))208        "{'y': 5}"209        For more informations see :func:`VariablesDict.__str__()`.210        :rtype: str211        """212        return self.__str__()213    # Operations214    def __add__(self, other):215        """216        Sums two VariablesDict, returning a VariablesDict217        whose exponents are the sum of the starting VariablesDicts' ones218        >>> VariablesDict(x=5, y=3) + VariablesDict(y=5)219        {'x': 5, 'y': 8}220        It raises a TypeError if `other` is not a VariablesDict221        >>> VariablesDict(x=1) + 3222        Traceback (most recent call last):223        ...224        TypeError: unsupported operand type(s) for +: 'VariablesDict' and 'int'225        :type other: VariablesDict226        :rtype: VariablesDict227        :raise: TypeError228        """229        # check if other is a VariablesDict230        if not isinstance(other, VariablesDict):231            raise TypeError(f"unsupported operand type(s) for +: 'VariablesDict' and '{other.__class__.__name__}'")232        result = {}233        # sum the variables' exponents234        for variable in set(self) | set(other):235            result[variable] = self[variable] + other[variable]236        return VariablesDict(result)237    def __sub__(self, other):238        """239        Return a VariablesDict whose values are the difference240        between the starting VariablesDicts' ones241        >>> VariablesDict(x=5, y=3) - VariablesDict(x=1, y=2)242        {'x': 4, 'y': 1}243        If any exponent becomes negative, a ValueError244        will be raised instead:245        >>> VariablesDict(c=2) - VariablesDict(c=3)246        Traceback (most recent call last):247        ...248        ValueError: variable's exponent must be positive249        It raises a TypeError if `other` is not a VariablesDict250        >>> VariablesDict(x=1) - 3251        Traceback (most recent call last):252        ...253        TypeError: unsupported operand type(s) for -: 'VariablesDict' and 'int'254        :type other: VariablesDict255        :rtype: VariablesDict256        :raise: ValueError, TypeError257        """258        if not isinstance(other, VariablesDict):259            raise TypeError(f"unsupported operand type(s) for -: 'VariablesDict' and '{other.__class__.__name__}'")260        result = {}261        # compute difference262        for variable in set(self) | set(other):263            result[variable] = self[variable] - other[variable]264        return VariablesDict(result)265    def __mul__ (self, other):266        """267        Returns a VariablesDict whose exponents are268        this one's, multiplied by a given (integer) number269        >>> VariablesDict(a=2, b= 5) * 3270        {'a': 6, 'b': 15}271        If the number is negative, a ValueError is272        raised273        >>> VariablesDict() * (-15)274        Traceback (most recent call last):275        ...276        ValueError: can't multiply a VariablesDict by a negative number277        It raises a TypeError if `other` is not an integer278        >>> VariablesDict(x=1) * '3'279        Traceback (most recent call last):280        ...281        TypeError: unsupported operand type(s) for *: 'VariablesDict' and 'str'282        :type other: int283        :rtype: VariablesDict284        :raise: TypeError, ValueError285        """286        # check other's type287        if not isinstance(other, int):288            raise TypeError(f"unsupported operand type(s) for *: 'VariablesDict' and '{other.__class__.__name__}'")289        elif other < 0:290            raise ValueError("can't multiply a VariablesDict by a negative number")291        variables = {}292        # multiply exponents293        for variable in self:294            variables[variable] = self[variable] * other295        return VariablesDict(variables)296    def __truediv__ (self, other):297        """298        Returns a VariablesDict whose values are299        this one's divided by a given (integer) number300        >>> VariablesDict(a=4, b=2) / 2301        {'a': 2, 'b': 1}302        If the VariableDict is not divisible303        by the given number, it will raise a ValueError304        >>> VariablesDict(x=7) / 3305        Traceback (most recent call last):306        ...307        ValueError: can't divide this VariablesDict by 3308        To see if a VariablesDict is divisible by a number,309        you can use modulus operator (see more at :func:`VariablesDict.__mod__()`):310        It raises a TypeError if `other` is not an integer311        >>> VariablesDict(x=1) / '3'312        Traceback (most recent call last):313        ...314        TypeError: unsupported operand type(s) for /: 'VariablesDict' and 'str'315        :type other: int316        :rtype: VariablesDict317        :raises: ValueError, TypeError318        """319        if not isinstance(other, int):320            raise TypeError(f"unsupported operand type(s) for /: 'VariablesDict' and '{other.__class__.__name__}'")321        if not self % other:322            raise ValueError(f"can't divide this VariablesDict by {other}")323        return VariablesDict(dict(map(lambda k: (k, self[k] / other), self)))324    def __mod__ (self, other):325        """326        Checks if the VariablesDict can be divided by a number327        (True => can be divided by `other`).328        >>> VariablesDict(a=2, b=4) % 2329        True330        >>> VariablesDict(a=2, b=4) % 3331        False332        It raises ValueError if `other` isn't a positive integer333        >>> VariablesDict(k=2) % (-7)334        Traceback (most recent call last):335        ...336        ValueError: can't use modulus with VariablesDict and negative numbers337        It raises a TypeError if `other` is not an integer338        >>> VariablesDict(x=1) % '3'339        Traceback (most recent call last):340        ...341        TypeError: unsupported operand type(s) for %: 'VariablesDict' and 'str'342        :type other: int343        :rtype: bool344        :raise: TypeError, ValueError345        """346        if not isinstance(other, int):347            raise TypeError(f"unsupported operand type(s) for %: 'VariablesDict' and '{other.__class__.__name__}'")348        elif other < 0:349            raise ValueError("can't use modulus with VariablesDict and negative numbers")350        return all(l % other == 0 for l in self.exponents())351    def __eq__(self, other):352        """353        Checks if two variablesDict are equivalent354        >>> VariablesDict(a=2, b=4) == VariablesDict(b=4, a=2)355        True356        If `other` is not a VariablesDict it always returns False357        >>> VariablesDict(a=2, b=4) == 3358        False359        :type other: VariablesDict360        :rtype: bool361        """362        if not isinstance(other, VariablesDict):363            return False364        return set(self.items()) == set(other.items())365    def __hash__(self):366        """367        Returns the hash of the VariablesDict by hashing368        the result of :func:`VariablesDict.items()`.369        :rtype: int370        """371        return hash(self.__items)372    def __bool__(self):373        """374        Returns the opposite of `is_empty`.375        >>> VariablesDict().is_empty376        True377        >>> bool(VariablesDict())378        False379        :rtype: int380        """...

variables_helper_tf1_test.py

Source:variables_helper_tf1_test.py

...23from object_detection.utils import tf_version24from object_detection.utils import variables_helper25@unittest.skipIf(tf_version.is_tf2(), 'Skipping TF1.X only test.')26class FilterVariablesTest(test_case.TestCase):27  def _create_variables(self):28    return [tf.Variable(1.0, name='FeatureExtractor/InceptionV3/weights'),29            tf.Variable(1.0, name='FeatureExtractor/InceptionV3/biases'),30            tf.Variable(1.0, name='StackProposalGenerator/weights'),31            tf.Variable(1.0, name='StackProposalGenerator/biases')]32  def test_return_all_variables_when_empty_regex(self):33    variables = self._create_variables()34    out_variables = variables_helper.filter_variables(variables, [''])35    self.assertCountEqual(out_variables, variables)36  def test_return_variables_which_do_not_match_single_regex(self):37    variables = self._create_variables()38    out_variables = variables_helper.filter_variables(variables,39                                                      ['FeatureExtractor/.*'])40    self.assertCountEqual(out_variables, variables[2:])41  def test_return_variables_which_do_not_match_any_regex_in_list(self):42    variables = self._create_variables()43    out_variables = variables_helper.filter_variables(variables, [44        'FeatureExtractor.*biases', 'StackProposalGenerator.*biases'45    ])46    self.assertCountEqual(out_variables, [variables[0], variables[2]])47  def test_return_variables_matching_empty_regex_list(self):48    variables = self._create_variables()49    out_variables = variables_helper.filter_variables(50        variables, [''], invert=True)51    self.assertCountEqual(out_variables, [])52  def test_return_variables_matching_some_regex_in_list(self):53    variables = self._create_variables()54    out_variables = variables_helper.filter_variables(55        variables,56        ['FeatureExtractor.*biases', 'StackProposalGenerator.*biases'],57        invert=True)58    self.assertCountEqual(out_variables, [variables[1], variables[3]])59@unittest.skipIf(tf_version.is_tf2(), 'Skipping TF1.X only test.')60class MultiplyGradientsMatchingRegexTest(tf.test.TestCase):61  def _create_grads_and_vars(self):62    return [(tf.constant(1.0),63             tf.Variable(1.0, name='FeatureExtractor/InceptionV3/weights')),64            (tf.constant(2.0),65             tf.Variable(2.0, name='FeatureExtractor/InceptionV3/biases')),66            (tf.constant(3.0),67             tf.Variable(3.0, name='StackProposalGenerator/weights')),68            (tf.constant(4.0),69             tf.Variable(4.0, name='StackProposalGenerator/biases'))]70  def test_multiply_all_feature_extractor_variables(self):71    grads_and_vars = self._create_grads_and_vars()72    regex_list = ['FeatureExtractor/.*']73    multiplier = 0.074    grads_and_vars = variables_helper.multiply_gradients_matching_regex(75        grads_and_vars, regex_list, multiplier)76    exp_output = [(0.0, 1.0), (0.0, 2.0), (3.0, 3.0), (4.0, 4.0)]77    init_op = tf.global_variables_initializer()78    with self.test_session() as sess:79      sess.run(init_op)80      output = sess.run(grads_and_vars)81      self.assertCountEqual(output, exp_output)82  def test_multiply_all_bias_variables(self):83    grads_and_vars = self._create_grads_and_vars()84    regex_list = ['.*/biases']85    multiplier = 0.086    grads_and_vars = variables_helper.multiply_gradients_matching_regex(87        grads_and_vars, regex_list, multiplier)88    exp_output = [(1.0, 1.0), (0.0, 2.0), (3.0, 3.0), (0.0, 4.0)]89    init_op = tf.global_variables_initializer()90    with self.test_session() as sess:91      sess.run(init_op)92      output = sess.run(grads_and_vars)93      self.assertCountEqual(output, exp_output)94@unittest.skipIf(tf_version.is_tf2(), 'Skipping TF1.X only test.')95class FreezeGradientsMatchingRegexTest(test_case.TestCase):96  def _create_grads_and_vars(self):97    return [(tf.constant(1.0),98             tf.Variable(1.0, name='FeatureExtractor/InceptionV3/weights')),99            (tf.constant(2.0),100             tf.Variable(2.0, name='FeatureExtractor/InceptionV3/biases')),101            (tf.constant(3.0),102             tf.Variable(3.0, name='StackProposalGenerator/weights')),103            (tf.constant(4.0),104             tf.Variable(4.0, name='StackProposalGenerator/biases'))]105  def test_freeze_all_feature_extractor_variables(self):106    grads_and_vars = self._create_grads_and_vars()107    regex_list = ['FeatureExtractor/.*']108    grads_and_vars = variables_helper.freeze_gradients_matching_regex(109        grads_and_vars, regex_list)110    exp_output = [(3.0, 3.0), (4.0, 4.0)]111    init_op = tf.global_variables_initializer()112    with self.test_session() as sess:113      sess.run(init_op)114      output = sess.run(grads_and_vars)115      self.assertCountEqual(output, exp_output)116@unittest.skipIf(tf_version.is_tf2(), 'Skipping TF1.X only test.')117class GetVariablesAvailableInCheckpointTest(test_case.TestCase):118  def test_return_all_variables_from_checkpoint(self):119    with tf.Graph().as_default():...

test_variable_command.py

Source:test_variable_command.py

...31    def setUpClass(cls):32        cls.dagbag = models.DagBag(include_examples=True)33        cls.parser = cli_parser.get_parser()34    def setUp(self):35        clear_db_variables()36    def tearDown(self):37        clear_db_variables()38    def test_variables_set(self):39        """Test variable_set command"""40        variable_command.variables_set(self.parser.parse_args(['variables', 'set', 'foo', 'bar']))41        self.assertIsNotNone(Variable.get("foo"))42        self.assertRaises(KeyError, Variable.get, "foo1")43    def test_variables_get(self):44        Variable.set('foo', {'foo': 'bar'}, serialize_json=True)45        with redirect_stdout(io.StringIO()) as stdout:46            variable_command.variables_get(self.parser.parse_args(['variables', 'get', 'foo']))47            self.assertEqual('{\n  "foo": "bar"\n}\n', stdout.getvalue())48    def test_get_variable_default_value(self):49        with redirect_stdout(io.StringIO()) as stdout:50            variable_command.variables_get(51                self.parser.parse_args(['variables', 'get', 'baz', '--default', 'bar'])...

test_term_variables.py

Source:test_term_variables.py

1import py2from prolog.interpreter.test.tool import assert_true, assert_false, prolog_raises3from prolog.interpreter.test.tool import get_engine4def test_basic_term_variables():5    assert_true("term_variables(X, [X]).")6    assert_false("term_variables(X, []).")7    assert_true("term_variables(f(X, Y), [X, Y]).")8    assert_true("term_variables(a, []).")9    assert_true("term_variables(123, []).")10    assert_true("term_variables(f(Z, g(X), Y), [Z, X, Y]).")11    assert_false("term_variables(a, a).")12def test_more_advanced_term_variables():13    assert_true("term_variables([Y,Y,X,X],[Y,X]).")14    assert_true("term_variables([X, Y, a, f(g(A), X)], [X, Y, A]).")15    assert_true("term_variables((A :- B, C, A), [A,B,C]).")16    assert_true("term_variables(f(X, f(X)), [X]).")17    assert_true("X = 1, term_variables(f(X, Y), L), L == [Y], Y = 2.")18    assert_true("X = Y, term_variables(f(X, Y), L), L == [Y], Y = 2.")19def test_var_binding():20    assert_true("X = a, term_variables(X, []).")21    assert_true("term_variables(X, L), X = a, L = [a].")22    assert_true("X = f(A,B), term_variables(X, [A,B]).")23def test_term_variables_huge_list():24    py.test.skip("")25    e = get_engine("""26        make_triple_list(0, _, []).27        make_triple_list(X, Y, [Y, Y, Y | T]) :-28            X > 0, X1 is X - 1,29            make_triple_list(X1, Y, T).30            """)...

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