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This adds support for CREATE TABLE AS SELECT to Impala. It supports all functionality a regular CREATE TABLE statement includes, except it does not allow for for specifying partition columns. Hive also has this limitation and it wouldn't be too hard to support in the future. Change-Id: I4ca3c3b8f1576441b8bb5ed9dc521d7dfa96ab74 Reviewed-on: http://gerrit.ent.cloudera.com:8080/157 Reviewed-by: Lenni Kuff <lskuff@cloudera.com> Tested-by: Lenni Kuff <lskuff@cloudera.com>
209 lines
8.2 KiB
Python
209 lines
8.2 KiB
Python
# Copyright (c) 2012 Cloudera, Inc. All rights reserved.
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#
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# This module is used for common utilities related to parsing test files
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import collections
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import logging
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import re
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from collections import defaultdict
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from os.path import isfile, isdir
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from tests.common.test_dimensions import TableFormatInfo
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logging.basicConfig(level=logging.INFO, format='%(threadName)s: %(message)s')
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LOG = logging.getLogger('impala_test_suite')
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# constants
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SECTION_DELIMITER = "===="
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SUBSECTION_DELIMITER = "----"
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# The QueryTestSectionReader provides utility functions that help to parse content
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# from a query test file
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class QueryTestSectionReader(object):
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@staticmethod
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def build_query(query_section_text, table_format_info, scale_factor):
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"""
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Build a well formed query.
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Given the various test parameters, construct the query that will be executed. This
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does more work than replace_table_suffix because it needs to properly replace the
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database name based on the given scale factor
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"""
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query_section_text = remove_comments(query_section_text)
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return query_section_text.rstrip(';')
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@staticmethod
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def get_table_name_components(table_format, table_name, scale_factor=''):
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"""
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Returns a pair (db_name, tbl_name). If the table_name argument is
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fully qualified, return the database name mentioned there,
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otherwise get the default db name from the table format and scale
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factor.
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"""
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# If table name is fully qualified return the db prefix
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split = table_name.split('.')
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assert len(split) <= 2, 'Unexpected table format: %s' % table_name
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db_name = split[0] if len(split) == 2 else \
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QueryTestSectionReader.get_db_name(table_format, scale_factor)
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return (db_name, split[-1])
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@staticmethod
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def get_db_name(table_format, scale_factor=''):
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"""
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Get the database name to use.
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Database names are dependent on the scale factor, file format, compression type
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and compression codec. This method returns the appropriate database name to the
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caller based on the table format information provided.
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"""
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if table_format.file_format == 'text' and table_format.compression_codec == 'none':
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suffix = ''
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elif table_format.compression_codec == 'none':
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suffix = '_%s' % (table_format.file_format)
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elif table_format.compression_type == 'record':
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suffix = '_%s_record_%s' % (table_format.file_format,
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table_format.compression_codec)
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else:
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suffix = '_%s_%s' % (table_format.file_format, table_format.compression_codec)
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dataset = table_format.dataset.replace('-', '')
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return dataset + scale_factor + suffix
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def remove_comments(section_text):
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return '\n'.join([l for l in section_text.split('\n') if not l.strip().startswith('#')])
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def parse_query_test_file(file_name, valid_section_names=None):
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"""
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Reads the specified query test file accepting the given list of valid section names
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Uses a default list of valid section names if valid_section_names is None
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Returns the result as a list of dictionaries. Each dictionary in the list corresponds
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to a test case and each key in the dictionary maps to a section in that test case.
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"""
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# Update the valid section names as we support other test types
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# (ex. planner, data error)
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if valid_section_names is None:
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return parse_test_file(file_name, ['QUERY', 'RESULTS', 'TYPES', 'SETUP'])
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else:
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return parse_test_file(file_name, valid_section_names)
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def parse_table_constraints(constraints_file):
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"""Reads a table contraints file, if one exists"""
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schema_include = defaultdict(list)
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schema_exclude = defaultdict(list)
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if not isfile(constraints_file):
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LOG.info('No schema constraints file file found')
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else:
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with open(constraints_file, 'rb') as constraints_file:
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for line in constraints_file.readlines():
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line = line.strip()
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if not line or line.startswith('#'):
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continue
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# Format: table_name:<name>, constraint_type:<type>, table_format:<t1>,<t2>,...
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table_name, constraint_type, table_formats =\
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[value.split(':')[1].strip() for value in line.split(',', 2)]
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if constraint_type == 'restrict_to':
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schema_include[table_name.lower()] +=\
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map(parse_table_format_constraint, table_formats.split(','))
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elif constraint_type == 'exclude':
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schema_exclude[table_name.lower()] +=\
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map(parse_table_format_constraint, table_formats.split(','))
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else:
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raise ValueError, 'Unknown constraint type: %s' % constraint_type
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return schema_include, schema_exclude
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def parse_table_format_constraint(table_format_constraint):
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# TODO: Expand how we parse table format constraints to support syntax such as
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# a table format string with a wildcard character. Right now we don't do anything.
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return table_format_constraint
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def parse_test_file(test_file_name, valid_section_names, skip_unknown_sections=True):
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"""
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Parses an Impala test file
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Test files have the format:
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==== <- Section
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---- [Name] <- Named subsection
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// some text
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---- [Name2] <- Named subsection
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...
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====
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The valid section names are passed in to this function.
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"""
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with open(test_file_name, 'rb') as test_file:
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return parse_test_file_text(test_file.read(), valid_section_names,
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skip_unknown_sections)
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def parse_test_file_text(text, valid_section_names, skip_unknown_sections=True):
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sections = list()
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section_start_regex = re.compile(r'(?m)^%s' % SECTION_DELIMITER)
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match = section_start_regex.search(text)
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if match is not None:
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# Assume anything before the first section (==== tag) is a header and ignore it
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text = text[match.start():]
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# Split the test file up into sections. For each section, parse all subsections.
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for section in section_start_regex.split(text):
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parsed_sections = collections.defaultdict(str)
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for sub_section in re.split(r'(?m)^%s' % SUBSECTION_DELIMITER, section[1:]):
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# Skip empty subsections
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if not sub_section:
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continue
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lines = sub_section.split('\n')
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subsection_name = lines[0].strip()
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subsection_comment = None
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subsection_info = [s.strip() for s in subsection_name.split(':')]
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if(len(subsection_info) == 2):
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subsection_name, subsection_comment = subsection_info
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if subsection_name not in valid_section_names:
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if skip_unknown_sections or not subsection_name:
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print sub_section
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print 'Unknown section %s' % subsection_name
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continue
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else:
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raise RuntimeError, 'Unknown subsection: %s' % subsection_name
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if subsection_name == 'QUERY' and subsection_comment:
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parsed_sections['QUERY_NAME'] = subsection_comment
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if subsection_name == 'RESULTS' and subsection_comment:
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parsed_sections['VERIFIER'] = subsection_comment
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parsed_sections[subsection_name] = '\n'.join([line for line in lines[1:-1]])
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if parsed_sections:
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sections.append(parsed_sections)
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return sections
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def write_test_file(test_file_name, test_file_sections):
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"""
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Given a list of test file sections, write out the corresponding test file
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This is useful when updating the results of a test.
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"""
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with open(test_file_name, 'w') as test_file:
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test_file_text = list()
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for test_case in test_file_sections:
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test_file_text.append(SECTION_DELIMITER)
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for section_name, section_value in test_case.items():
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# Have to special case query name and verifier because they have annotations
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# in the headers
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if section_name in ['QUERY_NAME', 'VERIFIER']:
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continue
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# TODO: We need a more generic way of persisting the old test file.
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# Special casing will blow up.
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full_section_name = section_name
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if section_name == 'QUERY' and test_case.get('QUERY_NAME'):
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full_section_name = '%s: %s' % (section_name, test_case['QUERY_NAME'])
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if section_name == 'RESULTS' and test_case.get('VERIFIER'):
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full_section_name = '%s: %s' % (section_name, test_case['VERIFIER'])
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test_file_text.append("%s %s" % (SUBSECTION_DELIMITER, full_section_name))
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if test_case[section_name].strip():
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test_file_text.append(test_case[section_name])
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test_file_text.append(SECTION_DELIMITER)
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test_file.write(('\n').join(test_file_text))
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