a4c010ba-78be-4818-8e6f-1da08c6af280

Committed 31 Aug 2023 11:59PM UTC coverage: 70.992% (-10.6%) from 81.552%

Build # a4c010ba-78be-4818-8e6f-1da08c6af280

Build Type

push

circle-ci

Committed by

web-flow

Commit Message

Merge branch 'staging' into evadb_staging

Run Details

54 of 54 new or added lines in 3 files covered. (100.0%)

8020 of 11297 relevant lines covered (70.99%)

0.71 hits per line

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76.32

/evadb/expression/constant_value_expression.py

# coding=utf-8
# Copyright 2018-2023 EvaDB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import Any

import numpy as np
import pandas as pd

from evadb.catalog.catalog_type import ColumnType
from evadb.expression.abstract_expression import AbstractExpression, ExpressionType
from evadb.models.storage.batch import Batch


class ConstantValueExpression(AbstractExpression):
    # Todo Implement generic value class
    # for now we don't assign any class to value
    # it can have types like string, int etc
    # return type not set, handle that based on value
    def __init__(self, value: Any, v_type: ColumnType = ColumnType.INTEGER):
        super().__init__(ExpressionType.CONSTANT_VALUE)
        self._value = value
        self._v_type = v_type

    def evaluate(self, batch: Batch, **kwargs):
        batch = Batch(pd.DataFrame({0: [self._value] * len(batch)}))
        return batch

    def signature(self) -> str:
        return str(self)

    @property
    def value(self):
        return self._value

    @property
    def v_type(self):
        return self._v_type

    # Todo implement other functionalities like maintaining hash
    # comparing two objects of this class(==)

    def __eq__(self, other):
        is_subtree_equal = super().__eq__(other)
        if not isinstance(other, ConstantValueExpression):
            return False
        # if the value type is NDARRAY, we need to reduce the
        # iterator to bool
        is_equal = is_subtree_equal and self.v_type == other.v_type

        if self.v_type == ColumnType.NDARRAY:
            return is_equal and all(self.value == other.value)
        else:
            return is_equal and self.value == other.value

    def __str__(self) -> str:
        expr_str = ""
        if not isinstance(self._value, np.ndarray):
            expr_str = f"{str(self._value)}"
        else:
            expr_str = f"{np.array_str(self._value)}"
        return expr_str

    def __hash__(self) -> int:
        return hash((super().__hash__(), self.v_type, str(self.value)))

1	# coding=utf-8
2	# Copyright 2018-2023 EvaDB
3	#
4	# Licensed under the Apache License, Version 2.0 (the "License");
5	# you may not use this file except in compliance with the License.
6	# You may obtain a copy of the License at
7	#
8	# http://www.apache.org/licenses/LICENSE-2.0
9	#
10	# Unless required by applicable law or agreed to in writing, software
11	# distributed under the License is distributed on an "AS IS" BASIS,
12	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	# See the License for the specific language governing permissions and
14	# limitations under the License.
15	from typing import Any	1✔
16
17	import numpy as np	1✔
18	import pandas as pd	1✔
19
20	from evadb.catalog.catalog_type import ColumnType	1✔
21	from evadb.expression.abstract_expression import AbstractExpression, ExpressionType	1✔
22	from evadb.models.storage.batch import Batch	1✔
23
24
25	class ConstantValueExpression(AbstractExpression):	1✔
26	# Todo Implement generic value class
27	# for now we don't assign any class to value
28	# it can have types like string, int etc
29	# return type not set, handle that based on value
30	def __init__(self, value: Any, v_type: ColumnType = ColumnType.INTEGER):	1✔
31	super().__init__(ExpressionType.CONSTANT_VALUE)	1✔
32	self._value = value	1✔
33	self._v_type = v_type	1✔
34
35	def evaluate(self, batch: Batch, **kwargs):	1✔
36	batch = Batch(pd.DataFrame({0: [self._value] * len(batch)}))	1✔
37	return batch	1✔
38
39	def signature(self) -> str:	1✔
40	return str(self)	×
41
42	@property	1✔
43	def value(self):	1✔
44	return self._value	1✔
45
46	@property	1✔
47	def v_type(self):	1✔
48	return self._v_type	1✔
49
50	# Todo implement other functionalities like maintaining hash
51	# comparing two objects of this class(==)
52
53	def __eq__(self, other):	1✔
54	is_subtree_equal = super().__eq__(other)	×
55	if not isinstance(other, ConstantValueExpression):	×
56	return False	×
57	# if the value type is NDARRAY, we need to reduce the
58	# iterator to bool
59	is_equal = is_subtree_equal and self.v_type == other.v_type	×
60
61	if self.v_type == ColumnType.NDARRAY:	×
62	return is_equal and all(self.value == other.value)	×
63	else:
64	return is_equal and self.value == other.value	×
65
66	def __str__(self) -> str:	1✔
67	expr_str = ""	1✔
68	if not isinstance(self._value, np.ndarray):	1✔
69	expr_str = f"{str(self._value)}"	1✔
70	else:
71	expr_str = f"{np.array_str(self._value)}"	×
72	return expr_str	1✔
73
74	def __hash__(self) -> int:	1✔
75	return hash((super().__hash__(), self.v_type, str(self.value)))	1✔

georgia-tech-db / eva / a4c010ba-78be-4818-8e6f-1da08c6af280

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