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82bd087fb1
This takes steps to make Python 2 behave like Python 3 as
a way to flush out issues with running on Python 3. Specifically,
it handles two main differences:
1. Python 3 requires absolute imports within packages. This
can be emulated via "from __future__ import absolute_import"
2. Python 3 changed division to "true" division that doesn't
round to an integer. This can be emulated via
"from __future__ import division"
This changes all Python files to add imports for absolute_import
and division. For completeness, this also includes print_function in the
import.
I scrutinized each old-division location and converted some locations
to use the integer division '//' operator if it needed an integer
result (e.g. for indices, counts of records, etc). Some code was also using
relative imports and needed to be adjusted to handle absolute_import.
This fixes all Pylint warnings about no-absolute-import and old-division,
and these warnings are now banned.
Testing:
- Ran core tests
Change-Id: Idb0fcbd11f3e8791f5951c4944be44fb580e576b
Reviewed-on: http://gerrit.cloudera.org:8080/19588
Reviewed-by: Joe McDonnell <joemcdonnell@cloudera.com>
Tested-by: Joe McDonnell <joemcdonnell@cloudera.com>
106 lines
4.1 KiB
Python
106 lines
4.1 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from __future__ import absolute_import, division, print_function
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from datetime import datetime, timedelta
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from decimal import Decimal as PyDecimal
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from random import randint, random, uniform
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from tests.comparison.db_types import Boolean, Char, Decimal, Float, Int, Timestamp
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class RandomValGenerator(object):
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def __init__(self,
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min_number=-1000,
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max_number=1000,
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min_date=datetime(1990, 1, 1),
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max_date=datetime(2030, 1, 1),
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null_val_percentage=0.1):
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if type(min_number) != int or type(max_number) != int:
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raise Exception("min_number and max_number must be integers but were %s and %s"
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% (type(min_number), type(max_number)))
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self.min_number = min_number
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self.max_number = max_number
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self.min_date = min_date
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self.max_date = max_date
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self.null_val_percentage = null_val_percentage
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def generate_val(self, val_type):
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'''Generate and return a single random val. Use the val_type parameter to
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specify the type of val to generate. See types.py for valid val_type
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options.
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Ex:
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generator = RandomValGenerator(min_number=1, max_number=5)
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val = generator.generate_val(model.Int)
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assert 1 <= val and val <= 5
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'''
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return next(self.create_val_generator(val_type))
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def create_val_generator(self, val_type):
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'''Generate and return a single random val. Use the val_type parameter to
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specify the type of val to generate. See types.py for valid val_type
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options.
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Ex:
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generator = RandomValGenerator(min_number=1, max_number=5)
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val = generator.generate_val(model.Int)
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assert 1 <= val and val <= 5
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'''
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if issubclass(val_type, Int):
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def val():
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return randint(
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max(self.min_number, val_type.MIN), min(val_type.MAX, self.max_number))
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elif issubclass(val_type, Char):
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def val():
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val = randint(
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max(self.min_number, val_type.MIN), min(val_type.MAX, self.max_number))
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return None if val is None else str(val)[:val_type.MAX]
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elif issubclass(val_type, Decimal):
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# Create an int within the maximum length of the Decimal, then shift the decimal
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# point as needed.
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max_digits = val_type.MAX_DIGITS
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fractal_digits = val_type.MAX_FRACTIONAL_DIGITS
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max_type_val = 10 ** max_digits
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decimal_point_shift = 10 ** fractal_digits
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max_val = min(self.max_number * decimal_point_shift, max_type_val - 1)
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min_val = max(self.min_number * decimal_point_shift, -1 * max_type_val + 1)
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def val():
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val = PyDecimal(randint(min_val, max_val))
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return val.scaleb(-1 * val_type.MAX_FRACTIONAL_DIGITS)
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elif issubclass(val_type, Float):
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def val():
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return uniform(self.min_number, self.max_number)
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elif issubclass(val_type, Timestamp):
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delta = self.max_date - self.min_date
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delta_in_seconds = delta.days * 24 * 60 * 60 + delta.seconds
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def val():
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offset_in_seconds = randint(0, delta_in_seconds)
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val = self.min_date + timedelta(0, offset_in_seconds)
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return datetime(val.year, val.month, val.day)
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elif issubclass(val_type, Boolean):
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def val():
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return randint(0, 1) == 1
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else:
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raise Exception('Unsupported type %s' % val_type.__name__)
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while True:
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if random() < self.null_val_percentage:
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yield None
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else:
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yield val()
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