#758

Committed 04 Sep 2023 08:37PM UTC coverage: 0.0% (-78.3%) from 78.333%

Build # #758

Build Type

push

circle-ci

Committed by

hershd23

Commit Message

Increased underline length in at line 75 in text_summarization.rst
	modified:   docs/source/benchmarks/text_summarization.rst

Run Details

0 of 11303 relevant lines covered (0.0%)

0.0 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

0.0

/evadb/plan_nodes/storage_plan.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 evadb.catalog.models.table_catalog import TableCatalogEntry
from evadb.expression.abstract_expression import AbstractExpression
from evadb.parser.table_ref import TableRef
from evadb.plan_nodes.abstract_plan import AbstractPlan
from evadb.plan_nodes.types import PlanOprType


class StoragePlan(AbstractPlan):
    """
    This is the plan used for retrieving the frames from the storage and
    and returning to the higher levels.

    Arguments:
        table (TableCatalogEntry): table for fetching data
        batch_mem_size (int): memory size of the batch read from disk
        skip_frames (int): skip frequency
        offset (int): storage offset for retrieving data
        limit (int): limit on data records to be retrieved
        total_shards (int): number of shards of data (if sharded)
        curr_shard (int): current curr_shard if data is sharded
        sampling_rate (int): uniform sampling rate
        sampling_type (str): special sampling type like IFRAMES
    """

    def __init__(
        self,
        table: TableCatalogEntry,
        table_ref: TableRef,
        skip_frames: int = 0,
        offset: int = None,
        limit: int = None,
        total_shards: int = 0,
        curr_shard: int = 0,
        predicate: AbstractExpression = None,
        sampling_rate: int = None,
        batch_mem_size: int = 30000000,
        sampling_type: str = None,
        chunk_params: dict = {},
    ):
        super().__init__(PlanOprType.STORAGE_PLAN)
        self._table = table
        self._table_ref = table_ref
        self._batch_mem_size = batch_mem_size
        self._skip_frames = skip_frames
        self._offset = offset
        self._limit = limit
        self._total_shards = total_shards
        self._curr_shard = curr_shard
        self._predicate = predicate
        self._sampling_rate = sampling_rate
        self._sampling_type = sampling_type
        self.chunk_params = chunk_params

    @property
    def table(self):
        return self._table

    @property
    def table_ref(self):
        return self._table_ref

    @property
    def batch_mem_size(self):
        return self._batch_mem_size

    @property
    def skip_frames(self):
        return self._skip_frames

    @property
    def offset(self):
        return self._offset

    @property
    def limit(self):
        return self._limit

    @property
    def total_shards(self):
        return self._total_shards

    @property
    def curr_shard(self):
        return self._curr_shard

    @property
    def predicate(self):
        return self._predicate

    @property
    def sampling_rate(self):
        return self._sampling_rate

    @property
    def sampling_type(self):
        return self._sampling_type

    def __str__(self):
        return "StoragePlan(video={}, \
            table_ref={},\
            batch_mem_size={}, \
            skip_frames={}, \
            offset={}, \
            limit={}, \
            total_shards={}, \
            curr_shard={}, \
            predicate={}, \
            sampling_rate={}, \
            sampling_type={})".format(
            self._table,
            self._table_ref,
            self._batch_mem_size,
            self._skip_frames,
            self._offset,
            self._limit,
            self._total_shards,
            self._curr_shard,
            self._predicate,
            self._sampling_rate,
            self._sampling_type,
        )

    def __hash__(self) -> int:
        return hash(
            (
                super().__hash__(),
                self.table,
                self.table_ref,
                self.batch_mem_size,
                self.skip_frames,
                self.offset,
                self.limit,
                self.total_shards,
                self.curr_shard,
                self.predicate,
                self.sampling_rate,
                self.sampling_type,
                frozenset(self.chunk_params.items()),
            )
        )

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 evadb.catalog.models.table_catalog import TableCatalogEntry	×
16	from evadb.expression.abstract_expression import AbstractExpression	×
17	from evadb.parser.table_ref import TableRef	×
18	from evadb.plan_nodes.abstract_plan import AbstractPlan	×
19	from evadb.plan_nodes.types import PlanOprType	×
20
21
22	class StoragePlan(AbstractPlan):	×
23	"""
24	This is the plan used for retrieving the frames from the storage and
25	and returning to the higher levels.
26
27	Arguments:
28	table (TableCatalogEntry): table for fetching data
29	batch_mem_size (int): memory size of the batch read from disk
30	skip_frames (int): skip frequency
31	offset (int): storage offset for retrieving data
32	limit (int): limit on data records to be retrieved
33	total_shards (int): number of shards of data (if sharded)
34	curr_shard (int): current curr_shard if data is sharded
35	sampling_rate (int): uniform sampling rate
36	sampling_type (str): special sampling type like IFRAMES
37	"""
38
39	def __init__(	×
40	self,
41	table: TableCatalogEntry,
42	table_ref: TableRef,
43	skip_frames: int = 0,
44	offset: int = None,
45	limit: int = None,
46	total_shards: int = 0,
47	curr_shard: int = 0,
48	predicate: AbstractExpression = None,
49	sampling_rate: int = None,
50	batch_mem_size: int = 30000000,
51	sampling_type: str = None,
52	chunk_params: dict = {},
53	):
54	super().__init__(PlanOprType.STORAGE_PLAN)	×
55	self._table = table	×
56	self._table_ref = table_ref	×
57	self._batch_mem_size = batch_mem_size	×
58	self._skip_frames = skip_frames	×
59	self._offset = offset	×
60	self._limit = limit	×
61	self._total_shards = total_shards	×
62	self._curr_shard = curr_shard	×
63	self._predicate = predicate	×
64	self._sampling_rate = sampling_rate	×
65	self._sampling_type = sampling_type	×
66	self.chunk_params = chunk_params	×
67
68	@property	×
69	def table(self):	×
70	return self._table	×
71
72	@property	×
73	def table_ref(self):	×
74	return self._table_ref	×
75
76	@property	×
77	def batch_mem_size(self):	×
78	return self._batch_mem_size	×
79
80	@property	×
81	def skip_frames(self):	×
82	return self._skip_frames	×
83
84	@property	×
85	def offset(self):	×
86	return self._offset	×
87
88	@property	×
89	def limit(self):	×
90	return self._limit	×
91
92	@property	×
93	def total_shards(self):	×
94	return self._total_shards	×
95
96	@property	×
97	def curr_shard(self):	×
98	return self._curr_shard	×
99
100	@property	×
101	def predicate(self):	×
102	return self._predicate	×
103
104	@property	×
105	def sampling_rate(self):	×
106	return self._sampling_rate	×
107
108	@property	×
109	def sampling_type(self):	×
110	return self._sampling_type	×
111
112	def __str__(self):	×
113	return "StoragePlan(video={}, \	×
114	table_ref={},\
115	batch_mem_size={}, \
116	skip_frames={}, \
117	offset={}, \
118	limit={}, \
119	total_shards={}, \
120	curr_shard={}, \
121	predicate={}, \
122	sampling_rate={}, \
123	sampling_type={})".format(
124	self._table,
125	self._table_ref,
126	self._batch_mem_size,
127	self._skip_frames,
128	self._offset,
129	self._limit,
130	self._total_shards,
131	self._curr_shard,
132	self._predicate,
133	self._sampling_rate,
134	self._sampling_type,
135	)
136
137	def __hash__(self) -> int:	×
138	return hash(	×
139	(
140	super().__hash__(),
141	self.table,
142	self.table_ref,
143	self.batch_mem_size,
144	self.skip_frames,
145	self.offset,
146	self.limit,
147	self.total_shards,
148	self.curr_shard,
149	self.predicate,
150	self.sampling_rate,
151	self.sampling_type,
152	frozenset(self.chunk_params.items()),
153	)
154	)

georgia-tech-db / eva / #758

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous