xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

419affb0e56f802bd1832a71ca23ddae57819ef6

145

py

Python

codingchallenges/bond.py

joesmall37/Algorithms

ae14e48a9a05558da81da01c5061db265f09e2e4

[ "MIT" ]

null

codingchallenges/bond.py

joesmall37/Algorithms

ae14e48a9a05558da81da01c5061db265f09e2e4

[ "MIT" ]

null

codingchallenges/bond.py

joesmall37/Algorithms

ae14e48a9a05558da81da01c5061db265f09e2e4

[ "MIT" ]

null

def bond(first_name, last_name): return "the name is " + last_name + ". " + first_name + " " + last_name print(bond("sid", "silverstien"))

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145

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0

null

0

1

0

1

0

8

68ce19bcb3fa95dc21a38c74e35a6396001df53b

6,951

py

Python

tests/test_bus.py

fglvs/osdp-python

6d7135facfe10299ab019dae6f61e88529ffd989

[ "Apache-2.0" ]

null

tests/test_bus.py

fglvs/osdp-python

6d7135facfe10299ab019dae6f61e88529ffd989

[ "Apache-2.0" ]

null

tests/test_bus.py

fglvs/osdp-python

6d7135facfe10299ab019dae6f61e88529ffd989

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """Tests for OSDP Bus""" import logging import os import sys import unittest sys.path.insert(0, os.path.abspath('..')) from osdp import * from .puppet_connection import PuppetOsdpConnection log = logging.getLogger('osdp') class BusTestCase(unittest.TestCase): """Test Bus for OSDP Python Module.""" def setUp(self): """Setup.""" self.last_reply = None def tearDown(self): """Teardown.""" def test_id_report_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 2) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 3) connection.should_reply = bytes.fromhex('53 FF 13 00 03 45 A4 D9 A4 03 FF 33 00 01 70 03 00 02 87') data = bytearray([Bus.DRIVER_BYTE]) command = IdReportCommand(address=0x7F) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.PdIdReport) self.assertEqual(reply.extract_reply_data.hex().upper(), 'A4D9A403FF33000170030002') device_id = DeviceIdentification.parse_data(reply) self.assertEqual(device_id.serial_number, 1879113779) def test_poll_no_data_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) connection.should_reply = bytes.fromhex('53 FF 07 00 01 40 66') data = bytearray([Bus.DRIVER_BYTE]) command = PollCommand(address=0x7F) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.Ack) self.assertEqual(reply.extract_reply_data, b'') def test_poll_card_data_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 2) connection.should_reply = bytes.fromhex('53 FF 0F 00 02 50 FF 01 1A 00 CD 22 C7 16 67') data = bytearray([Bus.DRIVER_BYTE]) command = PollCommand(address=0x7F) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.RawReaderData) self.assertEqual(reply.extract_reply_data.hex().upper(), 'FF011A00CD22C716') card_data = RawCardData.parse_data(reply) self.assertEqual(card_data.data.hex().upper(), 'CD22C716') def test_poll_keypad_data_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 2) connection.should_reply = bytes.fromhex('53 FF 0D 00 02 53 FF 04 31 32 33 34 7F') data = bytearray([Bus.DRIVER_BYTE]) command = PollCommand(address=0x7F) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.KeypadData) self.assertEqual(reply.extract_reply_data.hex().upper(), 'FF0431323334') keypad_data = KeypadData.parse_data(reply) self.assertEqual(keypad_data.data.hex().upper(), '31323334') def test_reader_led_control_granted_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 2) connection.should_reply = bytes.fromhex('53 FF 07 00 02 40 65') data = bytearray([Bus.DRIVER_BYTE]) reader_led_controls = [ReaderLedControl( reader_number = 0x0, led_number = 0x0, temporary_mode = TemporaryReaderControlCode.SetTemporaryAndStartTimer, temporary_on_time = 0x02, temporary_off_time = 0x01, temporary_on_color = LedColor.Green, temporary_off_color = LedColor.Black, temporary_timer = 0x000A, permanent_mode = PermanentReaderControlCode.Nop, permanent_on_time = 0x00, permanent_off_time = 0x00, permanent_on_color = LedColor.Black, permanent_off_color = LedColor.Black )] command = ReaderLedControlCommand(address=0x7F, reader_led_controls = ReaderLedControls(reader_led_controls)) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.Ack) self.assertEqual(reply.extract_reply_data, b'') def test_reader_led_control_denied_checksum(self): connection = PuppetOsdpConnection() connection.open() bus = Bus(connection=connection, on_reply_received=None) device = bus.add_device(address=0x7F, use_crc=False, use_secure_channel=False) device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 1) connection.should_reply = bytes.fromhex('53 FF 07 00 01 40 66') data = bytearray([Bus.DRIVER_BYTE]) reader_led_controls = [ReaderLedControl( reader_number = 0x0, led_number = 0x0, temporary_mode = TemporaryReaderControlCode.SetTemporaryAndStartTimer, temporary_on_time = 0x02, temporary_off_time = 0x01, temporary_on_color = LedColor.Red, temporary_off_color = LedColor.Black, temporary_timer = 0x000A, permanent_mode = PermanentReaderControlCode.Nop, permanent_on_time = 0x00, permanent_off_time = 0x00, permanent_on_color = LedColor.Black, permanent_off_color = LedColor.Black )] command = ReaderLedControlCommand(address=0x7F, reader_led_controls = ReaderLedControls(reader_led_controls)) reply = bus.send_command_and_receive_reply(data, command, device) self.assertIsNotNone(reply) self.assertEqual(reply.type, ReplyType.Ack) self.assertEqual(reply.extract_reply_data, b'') device.message_control.increment_sequence() self.assertEqual(device.message_control.sequence, 2) if __name__ == '__main__': unittest.main()

33.742718

111

0.778018

885

6,951

5.863277

0.183051

0.07805

0.092503

0.067065

0.855656

0.831374

0.825014

0.817884

0.792446

0.791675

0

0.040463

0.118256

6,951

206

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33.742718

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false

0

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0

null

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1

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null

0

7

68d4aa35a0cf392dcca785deb63e6936325ee7fd

114,424

py

Python

pytests/tuqquery/tuq_xattr.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/tuqquery/tuq_xattr.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

pytests/tuqquery/tuq_xattr.py

ramalingam-cb/testrunner

81cea7a5a493cf0c67fca7f97c667cd3c6ad2142

[ "Apache-2.0" ]

null

from tuq import QueryTests from membase.api.rest_client import RestHelper from couchbase.cluster import Cluster from couchbase.cluster import PasswordAuthenticator import couchbase.subdocument as SD class QueryXattrTests(QueryTests): def setUp(self): super(QueryXattrTests, self).setUp() self.log.info("============== QueryXattrTests setup has started ==============") self.system_xattr_data = [] self.user_xattr_data = [] self.meta_ids = [] self.ensure_primary_indexes_exist() self.log.info("============== QueryXattrTests setup has completed ==============") self.log_config_info() def suite_setUp(self): super(QueryXattrTests, self).suite_setUp() self.log.info("============== QueryXattrTests suite_setup has started ==============") self.log.info("============== QueryXattrTests suite_setup has completed ==============") self.log_config_info() def tearDown(self): self.log.info("============== QueryXattrTests tearDown has started ==============") self.log.info("============== QueryXattrTests tearDown has completed ==============") super(QueryXattrTests, self).tearDown() def suite_tearDown(self): self.log.info("============== QueryXattrTests suite_tearDown has started ==============") self.log.info("============== QueryXattrTests suite_tearDown has completed ==============") super(QueryXattrTests, self).suite_tearDown() """ Test system xattr queries with primary index: 1. full path - single value 2. full path - json value 3. full path nested json value 4. partial path single level 5. partial path multi level 6. mulitple paths - full, partial - single level, partial - multi level 7. full path before/after deletion """ def test_system_xattr_primary_index(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # full path query self.run_xattrs_query("SELECT meta().xattrs._system1 FROM default", "", "_system1", "", "default", xattr_data=self.system_xattr_data, primary_compare=False) # full path query self.run_xattrs_query("SELECT meta().xattrs._system2 FROM default", "", "_system2", "", "default", xattr_data=self.system_xattr_data, primary_compare=False) # full path query compare_1 = self.run_xattrs_query("SELECT meta().xattrs._system3 FROM default", "", "_system3", "", "default", xattr_data=self.system_xattr_data, primary_compare=False) # partial path query compare_2 = self.run_xattrs_query("SELECT meta().xattrs._system3.field1 FROM default", "", "_system3", "", "default", compare_fields=["field1"], xattr_data=self.system_xattr_data, primary_compare=False) # nested partial path query compare_3 = self.run_xattrs_query("SELECT meta().xattrs._system3.field1.sub_field1a FROM default", "", "_system3", "", "default", compare_fields=["field1", "sub_field1a"], xattr_data=self.system_xattr_data,primary_compare=False) # multiple paths single xattr query query_response = self.run_cbq_query("SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare = [] for i in range(0, len(docs)): compare.append({'_system3': compare_1[i]['_system3'], 'field1': compare_2[i]['field1'], 'sub_field1a': compare_3[i]['sub_field1a']}) self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs) == sorted(compare)) # multiple paths single xattr and data query query_response = self.run_cbq_query("SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a, join_day FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare_4 = self.get_values_for_compare('join_day') join_data = [{'join_day': item['join_day']} for item in docs] self.log.info("Join Data: " + str(join_data[0:5])) xattr_data = [{'_system3': item['_system3'], 'field1': item['field1'], 'sub_field1a': item['sub_field1a']} for item in docs] self.log.info("XAttr Data: " + str(xattr_data[0:5])) self.assertTrue(sorted(xattr_data) == sorted(compare)) self.assertTrue(sorted(join_data) == sorted(compare_4)) # deleted doc xattr query meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs._system3 FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("_system3" in query_response['results'][0]) self.assertTrue("field1" in query_response['results'][0]["_system3"] and "field2" in query_response['results'][0]["_system3"]) self.assertTrue("id" in query_response['results'][0]) self.assertTrue(query_response['results'][0]['id'] == id['id']) """ Test system xattr queries with secondary index: 1. full path - single value 2. full path - json value 3. full path nested json value 4. partial path single level 5. partial path multi level 6. mulitple paths - full, partial - single level, partial - multi level 7. full path before/after deletion 8. full path partial index 9. full path functional index """ def test_system_xattr_secondary_index(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # full path query index_statement = "CREATE INDEX idx1 ON default(meta().xattrs._system1) USING " + self.index_type query = "SELECT meta().xattrs._system1 FROM default where meta().xattrs._system1 is not missing" self.run_xattrs_query(query, index_statement, '_system1', 'idx1', 'default', xattr_data=self.system_xattr_data) # full path query index_statement = "CREATE INDEX idx2 ON default(meta().xattrs._system2) USING " + self.index_type query = "SELECT meta().xattrs._system2 FROM default where meta().xattrs._system2 is not missing" self.run_xattrs_query(query, index_statement, '_system2', 'idx2', 'default', xattr_data=self.system_xattr_data) # full path query index_statement = "CREATE INDEX idx3 ON default(meta().xattrs._system3) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx3', 'default', xattr_data=self.system_xattr_data) # partial path query index_statement = "CREATE INDEX idx4 ON default(meta().xattrs._system3.field1) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1 FROM default where meta().xattrs._system3.field1 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx4', 'default', xattr_data=self.system_xattr_data) # nested partial path query index_statement = "CREATE INDEX idx5 ON default(meta().xattrs._system3.field1.sub_field1a) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1.sub_field1a FROM default where meta().xattrs._system3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx5', 'default', xattr_data=self.system_xattr_data) # multiple paths single xattr query index_statement = "CREATE INDEX idx6 ON default(meta().xattrs._system3.field1.sub_field1a) USING " + self.index_type query = "SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a FROM default where meta().xattrs._system3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx6', 'default', xattr_data=self.system_xattr_data) # deleted doc xattr query index_statement = "CREATE INDEX idx7 ON default(meta().xattrs._system3) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx7', 'default', xattr_data=self.system_xattr_data, deleted_compare=True) # partial index index_statement = "CREATE INDEX idx8 ON default(meta().xattrs._system3) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing and meta().xattrs._system3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # functional index index_statement = "CREATE INDEX idx9 ON default(ABS(meta().xattrs._system3.field1.sub_field1a) + 2) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where ABS(meta().xattrs._system3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx9', 'default', xattr_data=self.system_xattr_data) """ Test system xattr queries with composite secondary index: 1. full path non-leading - single value 2. full path non-leading - json value 3. full path non-leading - nested json value 4. partial path non-leading - single level 5. partial path non-leading - multi level 6. mulitple paths non-leading - full, partial - single level, partial - multi level 7. full path non-leading before/after deletion 8. full path non-leading partial index 9. full path non-leading functional index 10. full path leading - single value 11. full path leading - json value 12. full path leading - nested json value 13. partial path leading - single level 14. partial path leading - multi level 15. mulitple paths leading - full, partial - single level, partial - multi level 16. full path leading before/after deletion 17. full path leading partial index 18. full path leading functional index """ def test_system_xattr_composite_secondary_index(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # full path query non-leading index_statement = "CREATE INDEX idx1 ON default(meta().id, meta().xattrs._system1, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system1 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system1', 'idx1', 'default', xattr_data=self.system_xattr_data) # full path query non-leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs._system2, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system2 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system2', 'idx2', 'default', xattr_data=self.system_xattr_data) # full path query non-leading index_statement = "CREATE INDEX idx3 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx3', 'default', xattr_data=self.system_xattr_data) # partial path query non-leading index_statement = "CREATE INDEX idx4 ON default(meta().id, meta().xattrs._system3.field1, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx4', 'default', xattr_data=self.system_xattr_data) # nested partial path query non-leading index_statement = "CREATE INDEX idx5 ON default(meta().id, meta().xattrs._system3.field1.sub_field1a, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1.sub_field1a FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx5', 'default', xattr_data=self.system_xattr_data) # multiple paths single xattr query non-leading index_statement = "CREATE INDEX idx6 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx6', 'default', xattr_data=self.system_xattr_data) # deleted doc xattr query non-leading index_statement = "CREATE INDEX idx7 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx7', 'default', xattr_data=self.system_xattr_data, deleted_compare=True) # partial index non-leading index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and meta().xattrs._system3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # functional index non-leading index_statement = "CREATE INDEX idx9 ON default(meta().id, ABS(meta().xattrs._system3.field1.sub_field1a) + 2, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and ABS(meta().xattrs._system3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx9', 'default', xattr_data=self.system_xattr_data) # full path query leading index_statement = "CREATE INDEX idx10 ON default(meta().xattrs._system1, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system1 FROM default where meta().xattrs._system1 is not missing" self.run_xattrs_query(query, index_statement, '_system1', 'idx10', 'default', xattr_data=self.system_xattr_data) # full path query leading index_statement = "CREATE INDEX idx11 ON default(meta().xattrs._system2, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system2 FROM default where meta().xattrs._system2 is not missing" self.run_xattrs_query(query, index_statement, '_system2', 'idx11', 'default', xattr_data=self.system_xattr_data) # full path query leading index_statement = "CREATE INDEX idx12 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx12', 'default', xattr_data=self.system_xattr_data) # partial path query leading index_statement = "CREATE INDEX idx13 ON default(meta().xattrs._system3.field1, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1 FROM default where meta().xattrs._system3.field1 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx13', 'default', xattr_data=self.system_xattr_data) # nested partial path query leading index_statement = "CREATE INDEX idx14 ON default(meta().xattrs._system3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3.field1.sub_field1a FROM default where meta().xattrs._system3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx14', 'default', xattr_data=self.system_xattr_data) # multiple paths single xattr query leading index_statement = "CREATE INDEX idx15 ON default(meta().xattrs._system3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a FROM default where meta().xattrs._system3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx15', 'default', xattr_data=self.system_xattr_data) # deleted doc xattr query leading index_statement = "CREATE INDEX idx16 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx16', 'default', xattr_data=self.system_xattr_data, deleted_compare=True) # partial index leading index_statement = "CREATE INDEX idx17 ON default(meta().xattrs._system3, meta().id, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing and meta().xattrs._system3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx17', 'default', xattr_data=self.system_xattr_data) # functional index leading index_statement = "CREATE INDEX idx18 ON default(ABS(meta().xattrs._system3.field1.sub_field1a) + 2, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs._system3 FROM default where ABS(meta().xattrs._system3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, '_system3', 'idx18', 'default', xattr_data=self.system_xattr_data) """ Test sytem xattr queries with retain deleted true flag in index 1. Single index on system xattrs 2. Composite index meta leading key 3. Composite index xattrs leading key 4. Composite index data field leading key """ def test_system_xattr_with_retain_deleted(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # retain deleted doc xattrs index on single xattr field index_statement = "CREATE INDEX idx1 ON default(meta().xattrs._system3) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx1', 'default', xattr_data=self.system_xattr_data, deleted_compare=True, with_retain=True) # retain deleted doc xattrs composite index meta leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx2', 'default', xattr_data=self.system_xattr_data, deleted_compare=True, with_retain=True) # retain deleted doc xattrs composite index xattr leading index_statement = "CREATE INDEX idx3 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs._system3 FROM default where meta().xattrs._system3 is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx3', 'default', xattr_data=self.system_xattr_data, deleted_compare=True, with_retain=True) # retain deleted doc xattrs composite index data field leading index_statement = "CREATE INDEX idx4 ON default(join_day, meta().xattrs._system3, meta().id) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs._system3 FROM default where join_day is not missing" self.run_xattrs_query(query, index_statement, '_system3', 'idx4', 'default', xattr_data=self.system_xattr_data, deleted_compare=True, with_retain=True, delete_leading=True) """ Test system xattr queries with aggregation: 1. full path non-leading - single value 2. full path non-leading - json value 3. full path non-leading - nested json value 4. partial path non-leading - single level 5. partial path non-leading - multi level 6. mulitple paths non-leading - full, partial - single level, partial - multi level 7. full path non-leading before/after deletion 8. full path non-leading partial index 9. full path non-leading functional index 10. full path leading - single value 11. full path leading - json value 12. full path leading - nested json value 13. partial path leading - single level 14. partial path leading - multi level 15. mulitple paths leading - full, partial - single level, partial - multi level 16. full path leading before/after deletion 17. full path leading partial index 18. full path leading functional index """ def test_system_xattr_with_aggregation(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # full path query non-leading index_statement = "CREATE INDEX idx1 ON default(meta().id, meta().xattrs._system1, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system1) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system1', 'idx1', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # full path query non-leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs._system2, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system2) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system2', 'idx2', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # full path query non-leading index_statement = "CREATE INDEX idx3 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx3', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # partial path query non-leading index_statement = "CREATE INDEX idx4 ON default(meta().id, meta().xattrs._system3.field1, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3.field1) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx4', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # nested partial path query non-leading index_statement = "CREATE INDEX idx5 ON default(meta().id, meta().xattrs._system3.field1.sub_field1a, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3.field1.sub_field1a) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx5', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # multiple paths single xattr query non-leading index_statement = "CREATE INDEX idx6 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3) as A, MIN(meta().xattrs._system3.field1) as B, MIN(meta().xattrs._system3.field1.sub_field1a) as C FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx6', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # deleted doc xattr query non-leading index_statement = "CREATE INDEX idx7 ON default(meta().id, meta().xattrs._system3, join_day) USING " + self.index_type query = "SELECT COUNT(meta().xattrs._system3) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx7', 'default', xattr_data=self.system_xattr_data, deleted_compare=True, with_aggs=True) # partial index non-leading index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where join_day > 0 USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3) as A FROM default where meta().id is not missing and join_day > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # functional index non-leading index_statement = "CREATE INDEX idx9 ON default(meta().id, ABS(meta().xattrs._system3.field1.sub_field1a) + 2, join_day) USING " + self.index_type query = "SELECT MIN(ABS(meta().xattrs._system3.field1.sub_field1a) + 2) as A FROM default where meta().id is not missing and ABS(meta().xattrs._system3.field1.sub_field1a) + 2 > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx9', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx10 ON default(meta().xattrs._system1, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system1) as A FROM default where meta().xattrs._system1 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system1', 'idx10', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx11 ON default(meta().xattrs._system2, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system2) as A FROM default where meta().xattrs._system2 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system2', 'idx11', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx12 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3) as A FROM default where meta().xattrs._system3 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx12', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # partial path query leading index_statement = "CREATE INDEX idx13 ON default(meta().xattrs._system3.field1, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3.field1) as A FROM default where meta().xattrs._system3.field1 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx13', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # nested partial path query leading index_statement = "CREATE INDEX idx14 ON default(meta().xattrs._system3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3.field1.sub_field1a) as A FROM default where meta().xattrs._system3.field1.sub_field1a is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx14', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # multiple paths single xattr query leading index_statement = "CREATE INDEX idx15 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs._system3) as A, MIN(meta().xattrs._system3.field1) as B, MIN(meta().xattrs._system3.field1.sub_field1a) as C FROM default where meta().xattrs._system3 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx15', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # deleted doc xattr query leading index_statement = "CREATE INDEX idx16 ON default(meta().xattrs._system3, meta().id, join_day) USING " + self.index_type query = "SELECT COUNT(meta().xattrs._system3) as A FROM default where meta().xattrs._system3 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx16', 'default', xattr_data=self.system_xattr_data, with_aggs=True, deleted_compare=True) # partial index leading index_statement = "CREATE INDEX idx17 ON default(meta().xattrs._system3, meta().id, join_day) where join_day > 0 USING " + self.index_type query = "SELECT COUNT(meta().xattrs._system3) as A FROM default where meta().xattrs._system3 is not missing and join_day > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx17', 'default', xattr_data=self.system_xattr_data, with_aggs=True) # functional index leading index_statement = "CREATE INDEX idx18 ON default(ABS(meta().xattrs._system3.field1.sub_field1a) + 2, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(ABS(meta().xattrs._system3.field1.sub_field1a) + 2) as A FROM default where ABS(meta().xattrs._system3.field1.sub_field1a) + 2 > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, '_system3', 'idx18', 'default', xattr_data=self.system_xattr_data, with_aggs=True) """ Test if field values can be updated with system xattr values """ def test_system_xattr_crud_ops(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # set doc value to xattr value meta_ids = self.get_meta_ids() update_ids = meta_ids[0:10] # grab values before setting compare = [] for update_id in update_ids: query = 'select meta().id as id, meta().xattrs._system1 as new_field from default use keys["'+ str(update_id['id']) + '"]' query_response = self.run_cbq_query(query) doc = query_response['results'] compare.append(doc) # grab updated values docs = [] for update_id in update_ids: query = 'update default SET new_field = meta().xattrs._system1 where meta().id = "' + str(update_id['id']) + '" returning meta().id, new_field' query_response = self.run_cbq_query(query) doc = query_response['results'] docs.append(doc) self.assertTrue(sorted(docs) == sorted(compare)) """ Tests if system xattrs can be used in subqueries """ def test_system_xattr_subquery(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # subquery in from clause query = "select d._system1 as A from (select meta().xattrs._system1 from default) d" check_query = "select meta().xattrs._system1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause query = "select d._system2 as A from (select meta().xattrs._system2 from default) d" check_query = "select meta().xattrs._system2 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause query = "select d._system3 as A from (select meta().xattrs._system3 from default) d" check_query = "select meta().xattrs._system3 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d._system2.field1 as A from (select meta().xattrs._system2 from default) d" check_query = "select meta().xattrs._system2.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1 as A from (select meta().xattrs._system2.field1 from default) d" check_query = "select meta().xattrs._system2.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d._system3.field1 as A from (select meta().xattrs._system3 from default) d" check_query = "select meta().xattrs._system3.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d._system3.field1.sub_field1a as A from (select meta().xattrs._system3 from default) d" check_query = "select meta().xattrs._system3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1 as A from (select meta().xattrs._system3.field1 from default) d" check_query = "select meta().xattrs._system3.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1.sub_field1a as A from (select meta().xattrs._system3.field1 from default) d" check_query = "select meta().xattrs._system3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.sub_field1a as A from (select meta().xattrs._system3.field1.sub_field1a from default) d" check_query = "select meta().xattrs._system3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) """ Tests if 1. Index cannot be created with two system xattr fields 2. If queries cannot be made on two system xattr fields """ def test_system_xattr_negative(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # cannot create index on two system xattr fields index_statement = "CREATE INDEX idx1 ON default(meta().xattrs._system1, meta().xattrs._system2, meta().xattrs._system3) USING " + self.index_type try: query_response = self.run_cbq_query(index_statement) except Exception, ex: pass else: self.fail() # cannot query two system xattr fields query = "SELECT meta().xattrs._system1, meta().xattrs._system2, meta().xattrs._system3 FROM default" try: query_response = self.run_cbq_query(query) except Exception, ex: pass else: self.fail() '''MB-28533''' def test_system_xattr_array_index(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') meta_ids = self.get_meta_ids() self.write_xattr(meta_ids[0]['id'], "_sync", {"channels": {"channel-1": 1}}) index_statement = "CREATE INDEX `ixChannels2` ON default((all (array (`op`.`name`) for `op` in object_pairs((((meta().`xattrs`).`_sync`).`channels`)) end))) USING " + self.index_type query = 'SELECT meta().ii FROM default WHERE any op in object_pairs(meta().xattrs._sync.channels) satisfies op.name = "channel-1" end' self.run_xattrs_query(query, index_statement, '_sync', 'ixChannels2', 'default', xattr_data=self.system_xattr_data) '''If you create an index on a document with xattrs with_retain_deleted = True, those xattrs will persist when the document is deleted, however if you reinsert another doc with the same doc id w/o xattrs and delete the new doc, the old xattrs will not be retained. This tests that special case''' def test_system_xattr_with_retain_deleted_reinsert(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # retain deleted doc xattrs index on single xattr field index_statement = "CREATE INDEX idx1 ON default(meta().xattrs._system3) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" self.run_cbq_query(query=index_statement) try: meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:3] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs._system3 FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("_system3" in query_response['results'][0]) self.assertTrue("field1" in query_response['results'][0]["_system3"] and "field2" in query_response['results'][0]["_system3"]) self.assertTrue("id" in query_response['results'][0]) self.assertTrue(query_response['results'][0]['id'] == id['id']) # Re-insert data with the ID, but w/o the xattr, then delete data, xattr should no longer be present insert = 'INSERT INTO default ( KEY, VALUE ) VALUES ("%s",{ "order_id": "1"})' % (id['id']) self.run_cbq_query(query=insert) query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs._system3 FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("_system3" not in query_response['results'][0]) self.assertTrue(query_response['results'][0]['id'] == id['id']) finally: self.run_cbq_query(query="DROP INDEX default.idx1") def test_system_xattr_rebalance_in_indexer(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') self.user_xattr_data = self.create_xattr_data(type='user') index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type index_statement2 = "CREATE INDEX idx15 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type self.run_cbq_query(query=index_statement) self.run_cbq_query(query=index_statement2) query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and meta().xattrs._system3.field1.sub_field1a > 0" query2 = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.sleep(30) try: # rebalance in a node services_in = ["index"] rebalance = self.cluster.async_rebalance(self.servers[:self.nodes_init], [self.servers[self.nodes_init]], [], services=services_in) # Run a system xattr query self.run_xattrs_query(query, '', '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # Run a virtual xattr query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # Run a user xattr query self.run_xattrs_query(query2, '', 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) reached = RestHelper(self.rest).rebalance_reached() self.assertTrue(reached, "rebalance failed, stuck or did not complete") rebalance.result() finally: self.run_cbq_query(query="DROP INDEX default.idx8") self.run_cbq_query(query="DROP INDEX default.idx15") rebalance = self.cluster.async_rebalance(self.servers[:self.nodes_init], [], [self.servers[self.nodes_init]]) reached = RestHelper(self.rest).rebalance_reached() self.assertTrue(reached, "rebalance failed, stuck or did not complete") rebalance.result() def test_system_xattr_rebalance_in_query(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') self.user_xattr_data = self.create_xattr_data(type='user') index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type index_statement2 = "CREATE INDEX idx15 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type self.run_cbq_query(query=index_statement) self.run_cbq_query(query=index_statement2) query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and meta().xattrs._system3.field1.sub_field1a > 0" query2 = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.sleep(30) try: # rebalance in a node services_in = ["n1ql"] rebalance = self.cluster.async_rebalance(self.servers[:self.nodes_init], [self.servers[self.nodes_init]], [], services=services_in) # Run a system xattr query self.run_xattrs_query(query, '', '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # Run a virtual xattr query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # Run a user xattr query self.run_xattrs_query(query2, '', 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) reached = RestHelper(self.rest).rebalance_reached() self.assertTrue(reached, "rebalance failed, stuck or did not complete") rebalance.result() finally: self.run_cbq_query(query="DROP INDEX default.idx8") self.run_cbq_query(query="DROP INDEX default.idx15") rebalance = self.cluster.async_rebalance(self.servers[:self.nodes_init], [], [self.servers[self.nodes_init]]) reached = RestHelper(self.rest).rebalance_reached() self.assertTrue(reached, "rebalance failed, stuck or did not complete") rebalance.result() def test_hard_failover_and_full_recovery_and_gsi_rebalance(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') self.user_xattr_data = self.create_xattr_data(type='user') index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type index_statement2 = "CREATE INDEX idx15 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type self.run_cbq_query(query=index_statement) self.run_cbq_query(query=index_statement2) query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and meta().xattrs._system3.field1.sub_field1a > 0" query2 = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" index_server = self.get_nodes_from_services_map(service_type="index", get_all_nodes=False) self.sleep(30) try: # failover the indexer node failover_task = self.cluster.async_failover([self.master], failover_nodes=[index_server], graceful=False) failover_task.result() self.sleep(30) # do a full recovery and rebalance self.rest.set_recovery_type('ns_1@' + index_server.ip, "full") self.rest.add_back_node('ns_1@' + index_server.ip) reb1 = self.cluster.rebalance(self.servers[:self.nodes_init], [], []) if reb1: result = self.rest.monitorRebalance() msg = "successfully rebalanced cluster {0}" self.log.info(msg.format(result)) self.sleep(30) self.run_xattrs_query(query, '', '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # Run a user xattr query self.run_xattrs_query(query2, '', 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) # Run a virtual xattr query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') finally: self.run_cbq_query(query="DROP INDEX default.idx8") self.run_cbq_query(query="DROP INDEX default.idx15") def test_graceful_failover_and_full_recovery_and_gsi_rebalance(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') self.user_xattr_data = self.create_xattr_data(type='user') index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs._system3, join_day) where meta().xattrs._system3.field1.sub_field1a > 0 USING " + self.index_type index_statement2 = "CREATE INDEX idx15 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type self.run_cbq_query(query=index_statement) self.run_cbq_query(query=index_statement2) query = "SELECT meta().xattrs._system3 FROM default where meta().id is not missing and meta().xattrs._system3.field1.sub_field1a > 0" query2 = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" index_server = self.get_nodes_from_services_map(service_type="index", get_all_nodes=False) self.sleep(30) try: # failover the indexer node failover_task = self.cluster.async_failover([self.master], failover_nodes=[index_server], graceful=True) self.run_xattrs_query(query, '', '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # Run a virtual xattr query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # Run a user xattr query self.run_xattrs_query(query2, '', 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) failover_task.result() self.sleep(120) # do a full recovery and rebalance self.rest.set_recovery_type('ns_1@' + index_server.ip, "full") self.rest.add_back_node('ns_1@' + index_server.ip) reb1 = self.cluster.rebalance(self.servers[:self.nodes_init], [], []) self.run_xattrs_query(query, '', '_system3', 'idx8', 'default', xattr_data=self.system_xattr_data) # Run a virtual xattr query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # Run a user xattr query self.run_xattrs_query(query2, '', 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) if reb1: result = self.rest.monitorRebalance() msg = "successfully rebalanced cluster {0}" self.log.info(msg.format(result)) finally: self.run_cbq_query(query="DROP INDEX default.idx8") self.run_cbq_query(query="DROP INDEX default.idx15") # Tests to be implemented """ Tests if system xattrs can be used in joins """ def test_system_xattr_join(self): pass """ Test user xattr queries with primary index: 1. full path - single value 2. full path - json value 3. full path nested json value 4. partial path single level 5. partial path multi level 6. mulitple paths - full, partial - single level, partial - multi level 7. full path before/after deletion """ def test_user_xattr_primary_index(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # full path query self.run_xattrs_query("SELECT meta().xattrs.user1 FROM default", "", "user1", "", "default", xattr_data=self.user_xattr_data, primary_compare=False) # full path query self.run_xattrs_query("SELECT meta().xattrs.user2 FROM default", "", "user2", "", "default", xattr_data=self.user_xattr_data, primary_compare=False) # full path query compare_1 = self.run_xattrs_query("SELECT meta().xattrs.user3 FROM default", "", "user3", "", "default", xattr_data=self.user_xattr_data, primary_compare=False) # partial path query compare_2 = self.run_xattrs_query("SELECT meta().xattrs.user3.field1 FROM default", "", "user3", "", "default", compare_fields=["field1"], xattr_data=self.user_xattr_data, primary_compare=False) # nested partial path query compare_3 = self.run_xattrs_query("SELECT meta().xattrs.user3.field1.sub_field1a FROM default", "", "user3", "", "default", compare_fields=["field1", "sub_field1a"], xattr_data=self.user_xattr_data, primary_compare=False) # multiple paths single xattr query query_response = self.run_cbq_query("SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare = [] for i in range(0, len(docs)): compare.append({'user3': compare_1[i]['user3'], 'field1': compare_2[i]['field1'], 'sub_field1a': compare_3[i]['sub_field1a']}) self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs) == sorted(compare)) # multiple paths single xattr and data query query_response = self.run_cbq_query("SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a, join_day FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare_4 = self.get_values_for_compare('join_day') join_data = [{'join_day': item['join_day']} for item in docs] self.log.info("Join Data: " + str(join_data[0:5])) xattr_data = [{'user3': item['user3'], 'field1': item['field1'], 'sub_field1a': item['sub_field1a']} for item in docs] self.log.info("XAttr Data: " + str(xattr_data[0:5])) self.assertTrue(sorted(xattr_data) == sorted(compare)) self.assertTrue(sorted(join_data) == sorted(compare_4)) # deleted doc xattr query meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs.user3 FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("user3" not in query_response['results'][0]) self.assertTrue(query_response['results'][0]['id'] == id['id']) """ Test user xattr queries with secondary index: 1. full path - single value 2. full path - json value 3. full path nested json value 4. partial path single level 5. partial path multi level 6. mulitple paths - full, partial - single level, partial - multi level 7. full path before/after deletion 8. full path partial index 9. full path functional index """ def test_user_xattr_secondary_index(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # full path query index_statement = "CREATE INDEX idx1 ON default(meta().xattrs.user1) USING " + self.index_type query = "SELECT meta().xattrs.user1 FROM default where meta().xattrs.user1 is not missing" self.run_xattrs_query(query, index_statement, 'user1', 'idx1', 'default', xattr_data=self.user_xattr_data) # full path query index_statement = "CREATE INDEX idx2 ON default(meta().xattrs.user2) USING " + self.index_type query = "SELECT meta().xattrs.user2 FROM default where meta().xattrs.user2 is not missing" self.run_xattrs_query(query, index_statement, 'user2', 'idx2', 'default', xattr_data=self.user_xattr_data) # full path query index_statement = "CREATE INDEX idx3 ON default(meta().xattrs.user3) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx3', 'default', xattr_data=self.user_xattr_data) # partial path query index_statement = "CREATE INDEX idx4 ON default(meta().xattrs.user3.field1) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1 FROM default where meta().xattrs.user3.field1 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx4', 'default', xattr_data=self.user_xattr_data) # nested partial path query index_statement = "CREATE INDEX idx5 ON default(meta().xattrs.user3.field1.sub_field1a) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx5', 'default', xattr_data=self.user_xattr_data) # multiple paths single xattr query index_statement = "CREATE INDEX idx6 ON default(meta().xattrs.user3.field1.sub_field1a) USING " + self.index_type query = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx6', 'default', xattr_data=self.user_xattr_data) # partial index index_statement = "CREATE INDEX idx8 ON default(meta().xattrs.user3) where meta().xattrs.user3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing and meta().xattrs.user3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx8', 'default', xattr_data=self.user_xattr_data) # functional index index_statement = "CREATE INDEX idx9 ON default(ABS(meta().xattrs.user3.field1.sub_field1a) + 2) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where ABS(meta().xattrs.user3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx9', 'default', xattr_data=self.user_xattr_data) """ Test user xattr queries with composite secondary index: 1. full path non-leading - single value 2. full path non-leading - json value 3. full path non-leading - nested json value 4. partial path non-leading - single level 5. partial path non-leading - multi level 6. mulitple paths non-leading - full, partial - single level, partial - multi level 7. full path non-leading before/after deletion 8. full path non-leading partial index 9. full path non-leading functional index 10. full path leading - single value 11. full path leading - json value 12. full path leading - nested json value 13. partial path leading - single level 14. partial path leading - multi level 15. mulitple paths leading - full, partial - single level, partial - multi level 16. full path leading before/after deletion 17. full path leading partial index 18. full path leading functional index """ def test_user_xattr_composite_secondary_index(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # full path query non-leading index_statement = "CREATE INDEX idx1 ON default(meta().id, meta().xattrs.user1, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user1 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user1', 'idx1', 'default', xattr_data=self.user_xattr_data) # full path query non-leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs.user2, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user2 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user2', 'idx2', 'default', xattr_data=self.user_xattr_data) # full path query non-leading index_statement = "CREATE INDEX idx3 ON default(meta().id, meta().xattrs.user3, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx3', 'default', xattr_data=self.user_xattr_data) # partial path query non-leading index_statement = "CREATE INDEX idx4 ON default(meta().id, meta().xattrs.user3.field1, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx4', 'default', xattr_data=self.user_xattr_data) # nested partial path query non-leading index_statement = "CREATE INDEX idx5 ON default(meta().id, meta().xattrs.user3.field1.sub_field1a, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1.sub_field1a FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx5', 'default', xattr_data=self.user_xattr_data) # multiple paths single xattr query non-leading index_statement = "CREATE INDEX idx6 ON default(meta().id, meta().xattrs.user3, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx6', 'default', xattr_data=self.user_xattr_data) # partial index non-leading index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs.user3, join_day) where meta().xattrs.user3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().id is not missing and meta().xattrs.user3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx8', 'default', xattr_data=self.user_xattr_data) # functional index non-leading index_statement = "CREATE INDEX idx9 ON default(meta().id, ABS(meta().xattrs.user3.field1.sub_field1a) + 2, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().id is not missing and ABS(meta().xattrs.user3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx9', 'default', xattr_data=self.user_xattr_data) # full path query leading index_statement = "CREATE INDEX idx10 ON default(meta().xattrs.user1, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user1 FROM default where meta().xattrs.user1 is not missing" self.run_xattrs_query(query, index_statement, 'user1', 'idx10', 'default', xattr_data=self.user_xattr_data) # full path query leading index_statement = "CREATE INDEX idx11 ON default(meta().xattrs.user2, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user2 FROM default where meta().xattrs.user2 is not missing" self.run_xattrs_query(query, index_statement, 'user2', 'idx11', 'default', xattr_data=self.user_xattr_data) # full path query leading index_statement = "CREATE INDEX idx12 ON default(meta().xattrs.user3, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx12', 'default', xattr_data=self.user_xattr_data) # partial path query leading index_statement = "CREATE INDEX idx13 ON default(meta().xattrs.user3.field1, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1 FROM default where meta().xattrs.user3.field1 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx13', 'default', xattr_data=self.user_xattr_data) # nested partial path query leading index_statement = "CREATE INDEX idx14 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx14', 'default', xattr_data=self.user_xattr_data) # multiple paths single xattr query leading index_statement = "CREATE INDEX idx15 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a FROM default where meta().xattrs.user3.field1.sub_field1a is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data) # partial index leading index_statement = "CREATE INDEX idx17 ON default(meta().xattrs.user3, meta().id, join_day) where meta().xattrs.user3.field1.sub_field1a > 0 USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing and meta().xattrs.user3.field1.sub_field1a > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx17', 'default', xattr_data=self.user_xattr_data) # functional index leading index_statement = "CREATE INDEX idx18 ON default(ABS(meta().xattrs.user3.field1.sub_field1a) + 2, meta().id, join_day) USING " + self.index_type query = "SELECT meta().xattrs.user3 FROM default where ABS(meta().xattrs.user3.field1.sub_field1a) + 2 > 0" self.run_xattrs_query(query, index_statement, 'user3', 'idx18', 'default', xattr_data=self.user_xattr_data) """ Test user xattr queries with retain deleted true flag in index 1. Single index on system xattrs 2. Composite index meta leading key 3. Composite index xattrs leading key 4. Composite index data field leading key """ def test_user_xattr_with_retain_deleted(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # retain deleted doc xattrs index on single xattr field index_statement = "CREATE INDEX idx1 ON default(meta().xattrs.user3) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx1', 'default', xattr_data=self.user_xattr_data, deleted_compare=True, with_retain=True, xattr_type='user') # retain deleted doc xattrs composite index meta leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs.user3, join_day) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs.user3 FROM default where meta().id is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx2', 'default', xattr_data=self.user_xattr_data, deleted_compare=True, with_retain=True, xattr_type='user') # retain deleted doc xattrs composite index xattr leading index_statement = "CREATE INDEX idx3 ON default(meta().xattrs.user3, meta().id, join_day) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs.user3 FROM default where meta().xattrs.user3 is not missing" self.run_xattrs_query(query, index_statement, 'user3', 'idx3', 'default', xattr_data=self.user_xattr_data, deleted_compare=True, with_retain=True, xattr_type='user') # retain deleted doc xattrs composite index data field leading index_statement = "CREATE INDEX idx4 ON default(join_day, meta().xattrs.user3, meta().id) USING " + self.index_type + " WITH {'retain_deleted_xattr':true}" query = "SELECT meta().xattrs.user3 FROM default where join_day is not missing" self.run_xattrs_query(query, index_statement, 'user', 'idx4', 'default', xattr_data=self.user_xattr_data, deleted_compare=True, with_retain=True, xattr_type='user', delete_leading=True) """ Test user xattr queries with aggregation: 1. full path non-leading - single value 2. full path non-leading - json value 3. full path non-leading - nested json value 4. partial path non-leading - single level 5. partial path non-leading - multi level 6. mulitple paths non-leading - full, partial - single level, partial - multi level 7. full path non-leading before/after deletion 8. full path non-leading partial index 9. full path non-leading functional index 10. full path leading - single value 11. full path leading - json value 12. full path leading - nested json value 13. partial path leading - single level 14. partial path leading - multi level 15. mulitple paths leading - full, partial - single level, partial - multi level 16. full path leading before/after deletion 17. full path leading partial index 18. full path leading functional index """ def test_user_xattr_with_aggregation(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # full path query non-leading index_statement = "CREATE INDEX idx1 ON default(meta().id, meta().xattrs.user1, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user1) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user1', 'idx1', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # full path query non-leading index_statement = "CREATE INDEX idx2 ON default(meta().id, meta().xattrs.user2, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user2) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user2', 'idx2', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # full path query non-leading index_statement = "CREATE INDEX idx3 ON default(meta().id, meta().xattrs.user3, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx3', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # partial path query non-leading index_statement = "CREATE INDEX idx4 ON default(meta().id, meta().xattrs.user3.field1, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3.field1) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx4', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # nested partial path query non-leading index_statement = "CREATE INDEX idx5 ON default(meta().id, meta().xattrs.user3.field1.sub_field1a, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3.field1.sub_field1a) as A FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx5', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # multiple paths single xattr query non-leading index_statement = "CREATE INDEX idx6 ON default(meta().id, meta().xattrs.user3, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3) as A, MIN(meta().xattrs.user3.field1) as B, MIN(meta().xattrs.user3.field1.sub_field1a) as C FROM default where meta().id is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx6', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # partial index non-leading index_statement = "CREATE INDEX idx8 ON default(meta().id, meta().xattrs.user3, join_day) where join_day > 0 USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3) as A FROM default where meta().id is not missing and join_day > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx8', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # functional index non-leading index_statement = "CREATE INDEX idx9 ON default(meta().id, ABS(meta().xattrs.user3.field1.sub_field1a) + 2, join_day) USING " + self.index_type query = "SELECT MIN(ABS(meta().xattrs.user3.field1.sub_field1a) + 2) as A FROM default where meta().id is not missing and ABS(meta().xattrs.user3.field1.sub_field1a) + 2 > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx9', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx10 ON default(meta().xattrs.user1, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user1) as A FROM default where meta().xattrs.user1 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user1', 'idx10', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx11 ON default(meta().xattrs.user2, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user2) as A FROM default where meta().xattrs.user2 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user2', 'idx11', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # full path query leading index_statement = "CREATE INDEX idx12 ON default(meta().xattrs.user3, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3) as A FROM default where meta().xattrs.user3 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx12', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # partial path query leading index_statement = "CREATE INDEX idx13 ON default(meta().xattrs.user3.field1, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3.field1) as A FROM default where meta().xattrs.user3.field1 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx13', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # nested partial path query leading index_statement = "CREATE INDEX idx14 ON default(meta().xattrs.user3.field1.sub_field1a, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3.field1.sub_field1a) as A FROM default where meta().xattrs.user3.field1.sub_field1a is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx14', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # multiple paths single xattr query leading index_statement = "CREATE INDEX idx15 ON default(meta().xattrs.user3, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(meta().xattrs.user3) as A, MIN(meta().xattrs.user3.field1) as B, MIN(meta().xattrs.user3.field1.sub_field1a) as C FROM default where meta().xattrs.user3 is not missing GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx15', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # partial index leading index_statement = "CREATE INDEX idx17 ON default(meta().xattrs.user3, meta().id, join_day) where join_day > 0 USING " + self.index_type query = "SELECT COUNT(meta().xattrs.user3) as A FROM default where meta().xattrs.user3 is not missing and join_day > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx17', 'default', xattr_data=self.user_xattr_data, with_aggs=True) # functional index leading index_statement = "CREATE INDEX idx18 ON default(ABS(meta().xattrs.user3.field1.sub_field1a) + 2, meta().id, join_day) USING " + self.index_type query = "SELECT MIN(ABS(meta().xattrs.user3.field1.sub_field1a) + 2) as A FROM default where ABS(meta().xattrs.user3.field1.sub_field1a) + 2 > 0 GROUP BY join_day" self.run_xattrs_query(query, index_statement, 'user3', 'idx18', 'default', xattr_data=self.user_xattr_data, with_aggs=True) """ Test if field values can be updated with user xattr values """ def test_user_xattr_crud_ops(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # set doc value to xattr value meta_ids = self.get_meta_ids() update_ids = meta_ids[0:10] # grab values before setting compare = [] for update_id in update_ids: query = 'select meta().id as id, meta().xattrs.user1 as new_field from default use keys["'+ str(update_id['id']) + '"]' query_response = self.run_cbq_query(query) doc = query_response['results'] compare.append(doc) # grab updated values docs = [] for update_id in update_ids: query = 'update default SET new_field = meta().xattrs.user1 where meta().id = "' + str(update_id['id']) + '" returning meta().id, new_field' query_response = self.run_cbq_query(query) doc = query_response['results'] docs.append(doc) self.assertTrue(sorted(docs) == sorted(compare)) """ Tests if user xattrs can be used in subqueries """ def test_user_xattr_subquery(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # subquery in from clause query = "select d.user1 as A from (select meta().xattrs.user1 from default) d" check_query = "select meta().xattrs.user1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause query = "select d.user2 as A from (select meta().xattrs.user2 from default) d" check_query = "select meta().xattrs.user2 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause query = "select d.user3 as A from (select meta().xattrs.user3 from default) d" check_query = "select meta().xattrs.user3 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.user2.field1 as A from (select meta().xattrs.user2 from default) d" check_query = "select meta().xattrs.user2.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1 as A from (select meta().xattrs.user2.field1 from default) d" check_query = "select meta().xattrs.user2.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.user3.field1 as A from (select meta().xattrs.user3 from default) d" check_query = "select meta().xattrs.user3.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.user3.field1.sub_field1a as A from (select meta().xattrs.user3 from default) d" check_query = "select meta().xattrs.user3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1 as A from (select meta().xattrs.user3.field1 from default) d" check_query = "select meta().xattrs.user3.field1 as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.field1.sub_field1a as A from (select meta().xattrs.user3.field1 from default) d" check_query = "select meta().xattrs.user3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.sub_field1a as A from (select meta().xattrs.user3.field1.sub_field1a from default) d" check_query = "select meta().xattrs.user3.field1.sub_field1a as A from default" self.run_xattrs_subquery(query, check_query) def test_user_xattr_join(self): pass """ Tests if 1. Index cannot be created with two system xattr fields 2. If queries cannot be made on two system xattr fields """ def test_user_xattr_negative(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # cannot create index on two user xattr fields index_statement = "CREATE INDEX idx1 ON default(meta().xattrs.user1, meta().xattrs.user2, meta().xattrs.user3) USING " + self.index_type try: query_response = self.run_cbq_query(index_statement) except Exception, ex: pass else: self.fail() # cannot query two system xattr fields query = "SELECT meta().xattrs.user1, meta().xattrs.user2, meta().xattrs.user3 FROM default" try: query_response = self.run_cbq_query(query) except Exception, ex: pass else: self.fail() def test_user_xattr_array_index(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') meta_ids = self.get_meta_ids() self.write_xattr(meta_ids[0]['id'], "users", {"channels": {"channel-1": 1}}) index_statement = "CREATE INDEX `ixChannels2` ON default((all (array (`op`.`name`) for `op` in object_pairs((((meta().`xattrs`).users).`channels`)) end))) USING " + self.index_type query = 'SELECT meta().ii FROM default WHERE any op in object_pairs(meta().xattrs.users.channels) satisfies op.name = "channel-1" end' self.run_xattrs_query(query, index_statement, 'user', 'ixChannels2', 'default', xattr_data=self.user_xattr_data) """ Test will ensure all fields of virtual xattrs can be queried Test different query types """ def test_virtual_xattr_with_primary(self): self.reload_data() self.fail_if_no_buckets() # full path query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # full path query self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # full path query compare_1 = self.run_xattrs_query("SELECT meta().xattrs.`$document` FROM default", "", "$document", "", "default", primary_compare=False, xattr_type='virtual') # partial path query compare_2 = self.run_xattrs_query("SELECT meta().xattrs.`$document`.deleted FROM default", "", "$document", "", "default", compare_fields=["deleted"], primary_compare=False, xattr_type='virtual') # multiple paths single xattr query query_response = self.run_cbq_query("SELECT meta().xattrs.`$document`, meta().xattrs.`$document`.deleted FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare = [] for i in range(0, len(docs)): compare.append({'$document': compare_1[i]['$document'], 'deleted': compare_2[i]['deleted']}) self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs) == sorted(compare)) # multiple paths single xattr and data query query_response = self.run_cbq_query("SELECT meta().xattrs.`$document`, meta().xattrs.`$document`.deleted, join_day FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare_4 = self.get_values_for_compare('join_day') join_data = [{'join_day': item['join_day']} for item in docs] self.log.info("Join Data: " + str(join_data[0:5])) xattr_data = [{'$document': item['$document'], 'deleted': item['deleted']} for item in docs] self.log.info("XAttr Data: " + str(xattr_data[0:5])) self.assertTrue(sorted(xattr_data) == sorted(compare)) self.assertTrue(sorted(join_data) == sorted(compare_4)) # deleted doc xattr query meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs.`$document` FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("$document" in query_response['results'][0]) self.assertTrue("deleted" in query_response['results'][0]["$document"] and "deleted" in query_response['results'][0]["$document"] and query_response['results'][0]["$document"]["deleted"] is True) self.assertTrue("id" in query_response['results'][0]) self.assertTrue(query_response['results'][0]['id'] == id['id']) """ Test virtual xattr negative cases: 1. Cannot create index on virtual xattrs """ def test_virtual_xattr_negative(self): try: index = "create index sdqidxs21112 on default(meta().xattrs.`$document`)" self.run_cbq_query(query=index) except Exception, ex: self.assertTrue('GSI CreateIndex() - cause: Fails to create index. Cannot index on Virtual Extended Attributes.' in str(ex), "Error message is not what was expected, here is the error outputed %s" % ex) """ Test if field values can be updated with virtual xattr values """ def test_virtual_xattr_crud_ops(self): self.reload_data() self.fail_if_no_buckets() # set doc value to xattr value meta_ids = self.get_meta_ids() update_ids = meta_ids[0:10] # grab values before setting compare = [] for update_id in update_ids: query = 'select meta().id as id, meta().xattrs.`$document`.deleted as new_field from default use keys["'+ str(update_id['id']) + '"]' query_response = self.run_cbq_query(query) doc = query_response['results'] compare.append(doc) # grab updated values docs = [] for update_id in update_ids: query = 'update default SET new_field = meta().xattrs.`$document`.deleted where meta().id = "' + str( update_id['id']) + '" returning meta().id, new_field' query_response = self.run_cbq_query(query) doc = query_response['results'] docs.append(doc) self.assertTrue(sorted(docs) == sorted(compare)) """ Tests if virtual xattrs can be used in subqueries """ def test_virtual_xattr_subquery(self): self.reload_data() self.fail_if_no_buckets() # subquery in from clause query = "select d.`$document` as A from (select meta().xattrs.`$document` from default) d" check_query = "select meta().xattrs.`$document` as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.`$document`.deleted as A from (select meta().xattrs.`$document` from default) d" check_query = "select meta().xattrs.`$document`.deleted as A from default" self.run_xattrs_subquery(query, check_query) # subquery in from clause nested query = "select d.deleted as A from (select meta().xattrs.`$document`.deleted from default) d" check_query = "select meta().xattrs.`$document`.deleted as A from default" self.run_xattrs_subquery(query, check_query) """ Test will ensure all fields of virtual xattrs and system xattrs can be simultaneously queried Test different query types """ def test_virtual_and_system_xattr_with_primary(self): self.reload_data() self.fail_if_no_buckets() self.system_xattr_data = self.create_xattr_data(type='system') # full path query self.run_xattrs_mixed_query("SELECT meta().xattrs._system1, meta().xattrs.`$document` FROM default", "_system1", "", xattr_data=self.system_xattr_data) # full path query self.run_xattrs_mixed_query("SELECT meta().xattrs._system2, meta().xattrs.`$document` FROM default", "_system2", "", xattr_data=self.system_xattr_data) # full path query compare_1 = self.run_xattrs_mixed_query("SELECT meta().xattrs._system3, meta().xattrs.`$document` FROM default", "_system3", "", xattr_data=self.system_xattr_data) # partial path query compare_2 = self.run_xattrs_mixed_query("SELECT meta().xattrs._system3.field1, meta().xattrs.`$document`.deleted FROM default", "_system3", xattr_data=self.system_xattr_data, compare_fields=["field1"]) # nested partial path query compare_3 = self.run_xattrs_mixed_query("SELECT meta().xattrs._system3.field1.sub_field1a, meta().xattrs.`$document`.deleted FROM default", "_system3", xattr_data=self.system_xattr_data, compare_fields=["field1", "sub_field1a"]) #multiple paths single xattr query query_response = self.run_cbq_query("SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a, meta().xattrs.`$document`.deleted FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare = [] for i in range(0, len(docs)): compare.append({'_system3': compare_1[i]['_system3'], 'field1': compare_2[i]['field1'], 'sub_field1a': compare_3[i]['sub_field1a'], 'deleted': False}) self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs) == sorted(compare)) # multiple paths single xattr and data query query_response = self.run_cbq_query("SELECT meta().xattrs._system3, meta().xattrs._system3.field1, meta().xattrs._system3.field1.sub_field1a, meta().xattrs.`$document`.deleted, join_day FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare_4 = self.get_values_for_compare('join_day') join_data = [{'join_day': item['join_day']} for item in docs] self.log.info("Join Data: " + str(join_data[0:5])) xattr_data = [{'_system3': item['_system3'], 'field1': item['field1'], 'sub_field1a': item['sub_field1a'], 'deleted': False} for item in docs] self.log.info("XAttr Data: " + str(xattr_data[0:5])) self.assertTrue(sorted(xattr_data) == sorted(compare)) self.assertTrue(sorted(join_data) == sorted(compare_4)) meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs._system3, meta().xattrs.`$document` FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("_system3" in query_response['results'][0]) self.assertTrue("field1" in query_response['results'][0]["_system3"] and "field2" in query_response['results'][0]["_system3"]) self.assertTrue("id" in query_response['results'][0]) self.assertTrue("$document" in query_response['results'][0]) self.assertTrue("deleted" in query_response['results'][0]["$document"] and "deleted" in query_response['results'][0]["$document"] and query_response['results'][0]["$document"]["deleted"] is True) self.assertTrue(query_response['results'][0]['id'] == id['id']) """ Test will ensure that data can be updated to a virtual and system xattr value """ def test_virtual_and_system_xattr_crud_ops(self): self.reload_data() self.fail_if_no_buckets() # set doc value to xattr value meta_ids = self.get_meta_ids() update_ids = meta_ids[0:10] # grab values before setting compare = [] for update_id in update_ids: query = 'select meta().id as id, meta().xattrs.`$document`.deleted as new_field1, meta().xattrs._system1 as new_field2 from default use keys["'+ str(update_id['id']) + '"]' query_response = self.run_cbq_query(query) doc = query_response['results'] compare.append(doc) # grab updated values docs = [] for update_id in update_ids: query = 'update default SET new_field1 = meta().xattrs.`$document`.deleted, new_field2 = meta().xattrs._system1 where meta().id = "' + str(update_id['id']) + '" returning meta().id, new_field1, new_field2' query_response = self.run_cbq_query(query) doc = query_response['results'] docs.append(doc) self.assertTrue(sorted(docs) == sorted(compare)) """ Test will ensure all fields of virtual xattrs and user xattrs can be simultaneously queried Test different query types """ def test_virtual_and_user_xattr_with_primary(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') # full path query self.run_xattrs_mixed_query("SELECT meta().xattrs.user1, meta().xattrs.`$document` FROM default", "user1", "", xattr_data=self.user_xattr_data) # full path query self.run_xattrs_mixed_query("SELECT meta().xattrs.user2, meta().xattrs.`$document` FROM default", "user2", "", xattr_data=self.user_xattr_data) # full path query compare_1 = self.run_xattrs_mixed_query("SELECT meta().xattrs.user3, meta().xattrs.`$document` FROM default", "user3", "", xattr_data=self.user_xattr_data) # partial path query compare_2 = self.run_xattrs_mixed_query("SELECT meta().xattrs.user3.field1, meta().xattrs.`$document`.deleted FROM default", "user3", xattr_data=self.user_xattr_data, compare_fields=["field1"]) # nested partial path query compare_3 = self.run_xattrs_mixed_query("SELECT meta().xattrs.user3.field1.sub_field1a, meta().xattrs.`$document`.deleted FROM default", "user3", xattr_data=self.user_xattr_data, compare_fields=["field1", "sub_field1a"]) #multiple paths single xattr query query_response = self.run_cbq_query("SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a, meta().xattrs.`$document`.deleted FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare = [] for i in range(0, len(docs)): compare.append({'user3': compare_1[i]['user3'], 'field1': compare_2[i]['field1'], 'sub_field1a': compare_3[i]['sub_field1a'], 'deleted': False}) self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs) == sorted(compare)) # multiple paths single xattr and data query query_response = self.run_cbq_query("SELECT meta().xattrs.user3, meta().xattrs.user3.field1, meta().xattrs.user3.field1.sub_field1a, meta().xattrs.`$document`.deleted, join_day FROM default") docs = query_response['results'] self.log.info("XAttrs: " + str(docs[0:5])) compare_4 = self.get_values_for_compare('join_day') join_data = [{'join_day': item['join_day']} for item in docs] self.log.info("Join Data: " + str(join_data[0:5])) xattr_data = [{'user3': item['user3'], 'field1': item['field1'], 'sub_field1a': item['sub_field1a'], 'deleted': False} for item in docs] self.log.info("XAttr Data: " + str(xattr_data[0:5])) self.assertTrue(sorted(xattr_data) == sorted(compare)) self.assertTrue(sorted(join_data) == sorted(compare_4)) meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) for id in delete_ids: query_response = self.run_cbq_query('SELECT meta().id, meta().xattrs.user3, meta().xattrs.`$document` FROM default USE KEYS[\"' + id['id'] + '\"]') self.assertTrue("user3" not in query_response['results'][0]) self.assertTrue("id" in query_response['results'][0]) self.assertTrue("$document" in query_response['results'][0]) self.assertTrue("deleted" in query_response['results'][0]["$document"] and "deleted" in query_response['results'][0]["$document"] and query_response['results'][0]["$document"]["deleted"] is True) self.assertTrue(query_response['results'][0]['id'] == id['id']) """ Test will ensure that data can be updated to a virtual and user xattr value """ def test_virtual_and_user_xattr_crud_ops(self): self.reload_data() self.fail_if_no_buckets() # set doc value to xattr value meta_ids = self.get_meta_ids() update_ids = meta_ids[0:10] # grab values before setting compare = [] for update_id in update_ids: query = 'select meta().id as id, meta().xattrs.`$document`.deleted as new_field1, meta().xattrs.user1 as new_field2 from default use keys["'+ str(update_id['id']) + '"]' query_response = self.run_cbq_query(query) doc = query_response['results'] compare.append(doc) # grab updated values docs = [] for update_id in update_ids: query = 'update default SET new_field1 = meta().xattrs.`$document`.deleted, new_field2 = meta().xattrs.user1 where meta().id = "' + str(update_id['id']) + '" returning meta().id, new_field1, new_field2' query_response = self.run_cbq_query(query) doc = query_response['results'] docs.append(doc) self.assertTrue(sorted(docs) == sorted(compare)) """ Test mixed xattr negative cases: 1. Cannot query user and system xattrs at once 2. Cannot create an index on user and system xattrs in one index 3. Cannot create an index on an xattr if it contains a virtual xattr anywhere (including where clause) """ def test_mixed_xattr_negative(self): self.reload_data() self.fail_if_no_buckets() self.user_xattr_data = self.create_xattr_data(type='user') self.system_xattr_data = self.create_xattr_data(type='system') try: query = "SELECT meta().id, meta().xattrs.user1, meta().xattrs._system1 from default" self.run_cbq_query(query=query) except Exception, ex: self.assertTrue('Plan error: Can only retrieve virtual xattr and user xattr or virtual xattr and system xattr' in str(ex), "Error message is not what was expected, here is the error outputed %s" % ex) try: index = "create index idx on default(meta().xattrs.`_system1`, meta().xattrs.user1)" self.run_cbq_query(query=index) except Exception, ex: self.assertTrue('Plan error: Only a single user or system xattribute can be indexed.' in str(ex), "Error message is not what was expected, here is the error outputed %s" % ex) try: index = " create index qidxs21112 on default(meta().xattrs.`_system1`) where meta().xattrs.`$document` > 5" self.run_cbq_query(query=index) except Exception, ex: self.assertTrue('GSI CreateIndex() - cause: Fails to create index. Cannot index on Virtual Extended Attributes.' in str(ex), "Error message is not what was expected, here is the error outputed %s" % ex) """ Can run 3 different types of compares: 1. Compare primary query with local data 2. Compare secondary query with primary query 3. Compare secondary query with primary query before and after deleting docs """ def run_xattrs_query(self, query, index_statement, xattr_name, index_name, bucket_name, xattr_data=[], compare_fields=[], primary_compare=True, deleted_compare=False, with_retain=False, xattr_type="system", with_aggs=False, delete_leading=False): if index_statement != "": self.run_cbq_query(index_statement) self._wait_for_index_online(bucket_name, index_name) query_response = self.run_cbq_query("EXPLAIN " + query) self.assertTrue(index_name in str(query_response['results'][0])) if with_aggs: self.assertTrue("index_group_aggs" in str(query_response['results'][0])) query_response = self.run_cbq_query(query) docs_1 = query_response['results'] self.log.info("XAttrs: " + str(docs_1[0:5])) compare = [] if primary_compare: temp_query = query.split("FROM " + bucket_name) compare_query = temp_query[0] + "FROM " + bucket_name + ' use index(`#primary`)' + temp_query[1] compare_response = self.run_cbq_query(compare_query) compare = compare_response['results'] else: if len(compare_fields) == 0: compare = [xattr for xattr in xattr_data if xattr_name in xattr] elif len(compare_fields) == 1: compare = [{compare_fields[0]: xattr[xattr_name][compare_fields[0]]} for xattr in xattr_data if xattr_name in xattr] elif len(compare_fields) == 2: compare = [{compare_fields[1]: xattr[xattr_name][compare_fields[0]][compare_fields[1]]} for xattr in xattr_data if xattr_name in xattr] # Virtual xattrs cant be compared in the way the rest of the stuff is compared because it is autogenerated by CB # ,therefore we do different checks and then return the results of the query passed in instead if xattr_type == "virtual": for docs in docs_1: if not compare_fields: self.assertTrue('$document' in str(docs) and 'CAS' in str(docs) and 'datatype' in str(docs) and 'deleted' in str(docs) and 'exptime' in str(docs) and 'flags' in str(docs) and 'last_modified' in str(docs) and 'seqno' in str(docs) and 'value_bytes' in str(docs) and 'vbucket_uuid' in str(docs)) else: self.assertTrue(docs == {"deleted": False}) else: self.log.info("Compare: " + str(compare[0:5])) self.assertTrue(sorted(docs_1) == sorted(compare)) if deleted_compare: meta_ids = self.get_meta_ids() delete_ids = meta_ids[0:10] for id in delete_ids: query_response = self.run_cbq_query('DELETE FROM default USE KEYS[\"' + id['id'] + '\"] returning meta().id') self.log.info(query_response['results']) self.assertTrue(query_response['results'][0]["id"] == id["id"]) new_meta_ids = self.get_meta_ids() for new_id in new_meta_ids: self.assertTrue(new_id not in delete_ids) query_response = self.run_cbq_query("EXPLAIN " + query) self.assertTrue(index_name in str(query_response['results'][0])) query_response_2 = self.run_cbq_query(query) docs_2 = query_response_2['results'] self.log.info("XAttrs: " + str(docs_2[0:5])) temp_query = query.split("FROM " + bucket_name) compare_query = temp_query[0] + "FROM " + bucket_name + ' use index(`#primary`)' + temp_query[1] compare_response = self.run_cbq_query(compare_query) compare_docs = compare_response['results'] self.log.info("Compare: " + str(compare_docs[0:5])) if with_retain and not xattr_type == 'user': self.assertTrue(len(docs_1)-10 == len(compare_docs)) if delete_leading: self.assertTrue(len(docs_2) == len(compare_docs)) self.assertTrue(sorted(docs_2) == sorted(compare_docs)) else: self.assertTrue(len(docs_2)-10 == len(compare_docs)) self.assertTrue(sorted(docs_1) == sorted(docs_2)) else: self.assertTrue(sorted(docs_2) == sorted(compare_docs)) if not with_aggs: self.assertTrue(len(docs_1)-10 == len(docs_2)) if index_statement != "": self.run_cbq_query("DROP INDEX default." + index_name) if deleted_compare and with_retain: self.run_cbq_query(index_statement) self._wait_for_index_online(bucket_name, index_name) query_response = self.run_cbq_query("EXPLAIN " + query) self.assertTrue(index_name in str(query_response['results'][0])) query_response_1 = self.run_cbq_query(query) docs_3 = query_response_1['results'] if delete_leading or xattr_type == 'user': self.assertTrue(len(docs_3) == len(compare_docs)) self.assertTrue(sorted(docs_3) == sorted(compare_docs)) else: self.assertTrue(len(docs_3)-10 == len(compare_docs)) self.assertTrue(sorted(docs_2) == sorted(docs_3)) self.run_cbq_query("DROP INDEX default." + index_name) self.reload_data() self.system_xattr_data = self.create_xattr_data(type=xattr_type) # Virtual xattrs cant be compared in the way the rest of the stuff is compared because it is autogenerated by CB # ,therefore we do different checks and then return the results of the query passed in instead if xattr_type == 'virtual': return docs_1 else: return compare """ Runs a subquery query and checks it against a non-subquery query """ def run_xattrs_subquery(self, query, check_query): query_response = self.run_cbq_query(query) docs = query_response['results'] query_response = self.run_cbq_query(check_query) compare = query_response['results'] self.assertTrue(sorted(docs) == sorted(compare)) def run_xattrs_mixed_query(self, query, xattr_name, compare_fields=[], xattr_data=[]): query_response = self.run_cbq_query(query) docs_1 = query_response['results'] self.log.info("XAttrs: " + str(docs_1[0:5])) compare_xattr = [] doc_no = 0 nested_level = 0 if len(compare_fields) == 0: compare_xattr = [xattr for xattr in xattr_data if xattr_name in xattr] elif len(compare_fields) == 1: compare_xattr = [{compare_fields[0]: xattr[xattr_name][compare_fields[0]]} for xattr in xattr_data if xattr_name in xattr] nested_level = 1 elif len(compare_fields) == 2: compare_xattr = [{compare_fields[1]: xattr[xattr_name][compare_fields[0]][compare_fields[1]]} for xattr in xattr_data if xattr_name in xattr] nested_level = 2 # Check to see that all fields in a virtual xattr are present for docs in docs_1: if not compare_fields: self.assertTrue('$document' in str(docs) and 'CAS' in str(docs) and 'datatype' in str(docs) and 'deleted' in str(docs) and 'exptime' in str(docs) and 'flags' in str(docs) and 'last_modified' in str(docs) and 'seqno' in str(docs) and 'value_bytes' in str(docs) and 'vbucket_uuid' in str(docs)) self.assertEqual(docs[xattr_name], compare_xattr[doc_no][xattr_name]) else: self.assertTrue("'deleted': False" in str(docs)) if nested_level == 1: self.assertEqual(docs[compare_fields[0]], compare_xattr[doc_no][compare_fields[0]]) elif nested_level == 2: self.assertEqual(docs[compare_fields[1]], compare_xattr[doc_no][compare_fields[1]]) doc_no = doc_no + 1 return compare_xattr """ Returns a list of meta ids """ def get_meta_ids(self): return self.get_values_for_compare('meta().id') """ Returns a list of values for the provided field """ def get_values_for_compare(self, field): query_response = self.run_cbq_query("SELECT " + field + " FROM default") docs = sorted(query_response['results']) return docs """ Adds xattrs to each document in default bucket: System - 1. {'_system1': int} 2. {'_system2': {'field1': int, 'field2': int}} 3. {'_system3': {'field1': {'sub_field1a': int, 'sub_field1b': int}, 'field2': {'sub_field2a': int, 'sub_field2b': int}}} User - 1. {'user1': int} 2. {'user2': {'field1': int, 'field2': int}} 3. {'user3': {'field1': {'sub_field1a': int, 'sub_field1b': int}, 'field2': {'sub_field2a': int, 'sub_field2b': int}}} """ def create_xattr_data(self, type="system"): cluster = Cluster('couchbase://'+str(self.master.ip)) authenticator = PasswordAuthenticator(self.username, self.password) cluster.authenticate(authenticator) cb = cluster.open_bucket('default') docs = self.get_meta_ids() self.log.info("Docs: " + str(docs[0:5])) xattr_data = [] self.log.info("Adding xattrs to data") val = 0 for doc in docs: if type == "system": rv = cb.mutate_in(doc["id"], SD.upsert('_system1', val, xattr=True, create_parents=True)) xattr_data.append({'_system1': val}) rv = cb.mutate_in(doc["id"], SD.upsert('_system2', {'field1': val, 'field2': val*val}, xattr=True, create_parents=True)) xattr_data.append({'_system2': {'field1': val, 'field2': val*val}}) rv = cb.mutate_in(doc["id"], SD.upsert('_system3', {'field1': {'sub_field1a': val, 'sub_field1b': val*val}, 'field2': {'sub_field2a': 2*val, 'sub_field2b': 2*val*val}}, xattr=True, create_parents=True)) xattr_data.append({'_system3': {'field1': {'sub_field1a': val, 'sub_field1b': val*val}, 'field2': {'sub_field2a': 2*val, 'sub_field2b': 2*val*val}}}) if type == "user": rv = cb.mutate_in(doc["id"], SD.upsert('user1', val, xattr=True, create_parents=True)) xattr_data.append({'user1': val}) rv = cb.mutate_in(doc["id"], SD.upsert('user2', {'field1': val, 'field2': val*val}, xattr=True, create_parents=True)) xattr_data.append({'user2': {'field1': val, 'field2': val*val}}) rv = cb.mutate_in(doc["id"], SD.upsert('user3', {'field1': {'sub_field1a': val, 'sub_field1b': val*val}, 'field2': {'sub_field2a': 2*val, 'sub_field2b': 2*val*val}}, xattr=True, create_parents=True)) xattr_data.append({'user3': {'field1': {'sub_field1a': val, 'sub_field1b': val*val}, 'field2': {'sub_field2a': 2*val, 'sub_field2b': 2*val*val}}}) val = val + 1 self.log.info("Completed adding " + type + "xattrs to data to " + str(val) + " docs") return xattr_data """ Write a single xattr key and val to doc id """ def write_xattr(self, doc_id, xattr_id, value): cluster = Cluster('couchbase://'+str(self.master.ip)) authenticator = PasswordAuthenticator(self.username, self.password) cluster.authenticate(authenticator) cb = cluster.open_bucket('default') rv = cb.mutate_in(doc_id, SD.upsert(xattr_id, value, xattr=True, create_parents=True)) self.assertTrue(rv.success) if '_' in xattr_id: self.system_xattr_data.append({xattr_id: value}) else: self.user_xattr_data.append({xattr_id: value}) """ Resets the bucket data by deleting the bucket and recreating/reloading the data generated during test suite setup """ def reload_data(self): self._all_buckets_delete(self.master) self._bucket_creation() self.gens_load = self.gen_docs(self.docs_per_day) self.load(self.gens_load, batch_size=1000, flag=self.item_flag) self.create_primary_index_for_3_0_and_greater() def _return_maps(self): index_map = self.get_index_map() stats_map = self.get_index_stats(perNode=False) return index_map, stats_map

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null

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7

68d543770a888dc57050de9b1720a92d809ae8e1

557

py

Python

tests/core/node_height.py

ForestCrazy/chia-blockchain-remote-plot

0ba838b7a8ea2b5410d438ac70295df699a30dae

[ "Apache-2.0" ]

11,902

2019-12-05T00:14:29.000Z

2022-03-31T23:25:37.000Z

tests/core/node_height.py

ForestCrazy/chia-blockchain-remote-plot

0ba838b7a8ea2b5410d438ac70295df699a30dae

[ "Apache-2.0" ]

5,246

2019-12-05T04:00:03.000Z

2022-03-31T21:33:30.000Z

tests/core/node_height.py

Devh4ox4d/silishitcoin

4372d06aa4a54220f2bde29c8081410503679a82

[ "Apache-2.0" ]

2,149

2019-12-05T11:12:53.000Z

2022-03-31T06:08:34.000Z

def node_height_at_least(node, h): if node.full_node.blockchain.get_peak() is not None: return node.full_node.blockchain.get_peak().height >= h return False def node_height_exactly(node, h): if node.full_node.blockchain.get_peak() is not None: return node.full_node.blockchain.get_peak().height == h return False def node_height_between(node, h1, h2): if node.full_node.blockchain.get_peak() is not None: height = node.full_node.blockchain.get_peak().height return h1 <= height <= h2 return False

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0.008909

0.193896

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1

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null

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9

6bf0d607358bda9f921ff4872c2ce4c9a7408ae4

209

py

Python

src/ctc/protocols/fei_utils/coracle/__init__.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

94

2022-02-15T19:34:49.000Z

2022-03-26T19:26:22.000Z

src/ctc/protocols/fei_utils/coracle/__init__.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

7

2022-03-03T02:58:47.000Z

2022-03-11T18:41:05.000Z

src/ctc/protocols/fei_utils/coracle/__init__.py

fei-protocol/checkthechain

ec838f3d0d44af228f45394d9ba8d8eb7f677520

[ "MIT" ]

7

2022-02-15T17:53:07.000Z

2022-03-17T19:14:17.000Z

from .coracle_balances import * from .coracle_deposits import * from .coracle_fei import * from .coracle_oracles import * from .coracle_spec import * from .coracle_stats import * from .coracle_tokens import *

26.125

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7

6bf693f39e496ecaeb5695ed2c0724e447fed212

364

py

Python

terrascript/resource/vra.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/resource/vra.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/resource/vra.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/resource/vra.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:30:45 UTC) # # For imports without namespace, e.g. # # >>> import terrascript.resource.vra # # instead of # # >>> import terrascript.resource.vmware.vra # # This is only available for 'official' and 'partner' providers. from terrascript.resource.vmware.vra import *

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d41d9e8f6a8d9aa2eb1b517d0440b6e88b49cb63

33,548

py

Python

src/isanlp_rst/td_rst_parser/src/modules/module_fence_rnn.py

tchewik/isanlp_rst

459864b3daeeb702acf5e65543181068439ce12c

[ "MIT" ]

6

2020-05-09T01:13:10.000Z

2021-02-05T01:02:40.000Z

src/isanlp_rst/td_rst_parser/src/modules/module_fence_rnn.py

tchewik/isanlp_rst

459864b3daeeb702acf5e65543181068439ce12c

[ "MIT" ]

2

2019-09-26T11:32:46.000Z

2020-07-24T13:44:46.000Z

src/isanlp_rst/td_rst_parser/src/modules/module_fence_rnn.py

tchewik/isanlp_rst

459864b3daeeb702acf5e65543181068439ce12c

[ "MIT" ]

3

2019-09-26T13:39:26.000Z

2021-04-12T14:34:50.000Z

# -*- coding: utf-8 -*- import torch import torch.nn as nn from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence from src.modules import MLP, BertEmbedding, Biaffine, BiLSTM, CharLSTM, BertEmbeddingfinetuning from src.modules.dropout import IndependentDropout, SharedDropout from src.utils import Config class EncoderFenceRnn(nn.Module): """ Args: n_words (int): Size of the word vocabulary. n_feats (int): Size of the feat vocabulary. n_labels (int): Number of labels. feat (str): Specifies which type of additional feature to use: 'char' | 'bert' | 'tag'. 'char': Character-level representations extracted by CharLSTM. 'bert': BERT representations, other pretrained langugae models like `XLNet` are also feasible. 'tag': POS tag embeddings. Default: 'char'. n_embed (int): Size of word embeddings. Default: 100. n_feat_embed (int): Size of feature representations. Default: 100. n_char_embed (int): Size of character embeddings serving as inputs of CharLSTM, required if feat='char'. Default: 50. bert (str): Specify which kind of language model to use, e.g., 'bert-base-cased' and 'xlnet-base-cased'. This is required if feat='bert'. The full list can be found in `transformers`. Default: `None`. n_bert_layers (int): Specify how many last layers to use. Required if feat='bert'. The final outputs would be the weight sum of the hidden states of these layers. Default: 4. mix_dropout (float): Dropout ratio of BERT layers. Required if feat='bert'. Default: .0. embed_dropout (float): Dropout ratio of input embeddings. Default: .33. n_lstm_hidden (int): Dimension of LSTM hidden states. Default: 400. n_lstm_layers (int): Number of LSTM layers. Default: 3. lstm_dropout (float): Dropout ratio of LSTM. Default: .33. n_mlp_span (int): Span MLP size. Default: 500. n_mlp_label (int): Label MLP size. Default: 100. mlp_dropout (float): Dropout ratio of MLP layers. Default: .33. feat_pad_index (int): The index of the padding token in the feat vocabulary. Default: 0. pad_index (int): The index of the padding token in the word vocabulary. Default: 0. unk_index (int): The index of the unknown token in the word vocabulary. Default: 1. """ def __init__(self, n_words, n_feats, n_labels, feat='char', n_embed=100, n_feat_embed=100, n_char_embed=50, bert=None, n_bert_layers=4, mix_dropout=.0, embed_dropout=.33, n_lstm_hidden=400, n_lstm_layers=3, lstm_dropout=.33, n_mlp_span=500, n_mlp_label=100, mlp_dropout=.33, feat_pad_index=0, pad_index=0, unk_index=1, **kwargs): super().__init__() self.args = Config().update(locals()) # the embedding layer self.word_embed = nn.Embedding(num_embeddings=n_words, embedding_dim=n_embed) if feat == 'char': self.feat_embed = CharLSTM(n_chars=n_feats, n_embed=n_char_embed, n_out=n_feat_embed, pad_index=feat_pad_index) elif feat == 'bert': if kwargs['bert_requires_grad'] == 'False': bert_requires_grad = False elif kwargs['bert_requires_grad'] == 'True': bert_requires_grad = True if bert_requires_grad: self.feat_embed = BertEmbeddingfinetuning(model=bert, n_layers=n_bert_layers, n_out=n_feat_embed, pad_index=feat_pad_index, dropout=mix_dropout) else: self.feat_embed = BertEmbedding(model=bert, n_layers=n_bert_layers, n_out=n_feat_embed, pad_index=feat_pad_index, dropout=mix_dropout) self.n_feat_embed = self.feat_embed.n_out elif feat == 'tag': self.feat_embed = nn.Embedding(num_embeddings=n_feats, embedding_dim=n_feat_embed) else: raise RuntimeError("The feat type should be in ['char', 'bert', 'tag'].") self.embed_dropout = IndependentDropout(p=embed_dropout) # the lstm layer self.lstm = BiLSTM(input_size=n_embed + n_feat_embed, hidden_size=n_lstm_hidden, num_layers=n_lstm_layers, dropout=lstm_dropout) self.lstm_dropout = SharedDropout(p=lstm_dropout) self.decoder_layers = n_lstm_layers # the MLP layers # self.mlp_span_l = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_span, # dropout=mlp_dropout) # self.mlp_span_r = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_span, # dropout=mlp_dropout) self.mlp_span_splitting = MLP(n_in=n_lstm_hidden * 2, n_out=n_mlp_span, dropout=mlp_dropout) self.mlp_label_l = MLP(n_in=n_lstm_hidden * 2, n_out=n_mlp_label, dropout=mlp_dropout) self.mlp_label_r = MLP(n_in=n_lstm_hidden * 2, n_out=n_mlp_label, dropout=mlp_dropout) # the Biaffine layers # self.span_attn = Biaffine(n_in=n_mlp_span, # bias_x=True, # bias_y=False) self.label_attn = Biaffine(n_in=n_mlp_label, n_out=n_labels, bias_x=True, bias_y=True) # self.crf = CRFConstituency() # self.criterion = nn.CrossEntropyLoss() self.pad_index = pad_index self.unk_index = unk_index self.hx_dense = nn.Linear(2 * n_lstm_hidden, 2 * n_lstm_hidden) def load_pretrained(self, embed=None): if embed is not None: self.pretrained = nn.Embedding.from_pretrained(embed) nn.init.zeros_(self.word_embed.weight) return self def forward(self, words, feats): """ Args: words (~torch.LongTensor) [batch_size, seq_len]: The word indices. feats (~torch.LongTensor): The feat indices. If feat is 'char' or 'bert', the size of feats should be [batch_size, seq_len, fix_len] If 'tag', then the size is [batch_size, seq_len]. Returns: s_span (~torch.Tensor): ``[batch_size, seq_len, seq_len]``. The scores of all possible spans. s_label (~torch.Tensor): ``[batch_size, seq_len, seq_len, n_labels]``. The scores of all possible labels on each span. """ batch_size, seq_len = words.shape # get the mask and lengths of given batch mask = words.ne(self.pad_index) ext_words = words # set the indices larger than num_embeddings to unk_index if hasattr(self, 'pretrained'): ext_mask = words.ge(self.word_embed.num_embeddings) ext_words = words.masked_fill(ext_mask, self.unk_index) # get outputs from embedding layers word_embed = self.word_embed(ext_words) if hasattr(self, 'pretrained'): word_embed += self.pretrained(words) feat_embed = self.feat_embed(feats) word_embed, feat_embed = self.embed_dropout(word_embed, feat_embed) # concatenate the word and feat representations embed = torch.cat((word_embed, feat_embed), -1) x = pack_padded_sequence(embed, mask.sum(1).to('cpu'), True, False) x, hidden = self.lstm(x) x, _ = pad_packed_sequence(x, True, total_length=seq_len) x = self.lstm_dropout(x) x_f, x_b = x.chunk(2, -1) fencepost = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1) decoder_init_state = self._transform_decoder_init_state(hidden) # x = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1) # apply MLPs to the BiLSTM output states # span_l = self.mlp_span_l(x) # span_r = self.mlp_span_r(x) span_split = self.mlp_span_splitting(fencepost) label_l = self.mlp_label_l(fencepost) label_r = self.mlp_label_r(fencepost) # [batch_size, seq_len, seq_len] # s_span = self.span_attn(span_l, span_r) # [batch_size, seq_len, seq_len, n_labels] s_label = self.label_attn(label_l, label_r).permute(0, 2, 3, 1) return fencepost, span_split, decoder_init_state, s_label def _transform_decoder_init_state(self, hn): # we would generate assert isinstance(hn, tuple) if isinstance(hn, tuple): hn, cn = hn _, batch, hidden_size = cn.size() # take the last layers # [batch, 2 * hidden_size] --> [1, batch, 2 * hidden_size] cn = torch.cat([cn[-2], cn[-1]], dim=1).unsqueeze(0) # take hx_dense to [1, batch, hidden_size] cn = self.hx_dense(cn) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: cn = torch.cat([cn, cn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) # hn is tanh(cn) hn = torch.tanh(cn) hn = (hn, cn) else: # take the last layers # [2, batch, hidden_size] hn = hn[-2:] # hn [2, batch, hidden_size] _, batch, hidden_size = hn.size() # first convert hn t0 [batch, 2, hidden_size] hn = hn.transpose(0, 1).contiguous() # then view to [batch, 1, 2 * hidden_size] --> [1, batch, 2 * hidden_size] hn = hn.view(batch, 1, 2 * hidden_size).transpose(0, 1) # take hx_dense to [1, batch, hidden_size] hn = torch.tanh(self.hx_dense(hn)) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: hn = torch.cat([hn, hn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) return hn class DecoderRNN(nn.Module): def __init__(self, input_size, hidden_size, rnn_layers=6, dropout=0.2, decoder_type='lstm'): super(DecoderRNN, self).__init__() ''' Input: input: [1,length,input_size] initial_hidden_state: [rnn_layer,1,hidden_size] Output: output: [1,length,input_size] hidden_states: [rnn_layer,1,hidden_size] ''' # Define GRU layer if decoder_type == 'gru': self.decoder_network = nn.GRU(input_size, hidden_size, rnn_layers, batch_first=True, dropout=(0 if rnn_layers == 1 else dropout)) elif decoder_type == 'lstm': self.decoder_network = nn.LSTM(input_size, hidden_size, rnn_layers, batch_first=True, dropout=(0 if rnn_layers == 1 else dropout)) def forward(self, input_hidden_states, last_hidden): # Forward through unidirectional GRU/LSTM outputs, hidden = self.decoder_network(input_hidden_states, last_hidden) # Return output and final hidden state return outputs, hidden class EncoderFenceDiscourseRnn(nn.Module): """ The implementation of CRF Constituency Parser. This parser is also called FANCY (abbr. of Fast and Accurate Neural Crf constituencY) Parser. References: - Yu Zhang, Houquan Zhou and Zhenghua Li. 2020. `Fast and Accurate Neural CRF Constituency Parsing`_. Args: n_words (int): Size of the word vocabulary. n_feats (int): Size of the feat vocabulary. n_labels (int): Number of labels. feat (str): Specifies which type of additional feature to use: 'char' | 'bert' | 'tag'. 'char': Character-level representations extracted by CharLSTM. 'bert': BERT representations, other pretrained langugae models like `XLNet` are also feasible. 'tag': POS tag embeddings. Default: 'char'. n_embed (int): Size of word embeddings. Default: 100. n_feat_embed (int): Size of feature representations. Default: 100. n_char_embed (int): Size of character embeddings serving as inputs of CharLSTM, required if feat='char'. Default: 50. bert (str): Specify which kind of language model to use, e.g., 'bert-base-cased' and 'xlnet-base-cased'. This is required if feat='bert'. The full list can be found in `transformers`. Default: `None`. n_bert_layers (int): Specify how many last layers to use. Required if feat='bert'. The final outputs would be the weight sum of the hidden states of these layers. Default: 4. mix_dropout (float): Dropout ratio of BERT layers. Required if feat='bert'. Default: .0. embed_dropout (float): Dropout ratio of input embeddings. Default: .33. n_lstm_hidden (int): Dimension of LSTM hidden states. Default: 400. n_lstm_layers (int): Number of LSTM layers. Default: 3. lstm_dropout (float): Dropout ratio of LSTM. Default: .33. n_mlp_span (int): Span MLP size. Default: 500. n_mlp_label (int): Label MLP size. Default: 100. mlp_dropout (float): Dropout ratio of MLP layers. Default: .33. feat_pad_index (int): The index of the padding token in the feat vocabulary. Default: 0. pad_index (int): The index of the padding token in the word vocabulary. Default: 0. unk_index (int): The index of the unknown token in the word vocabulary. Default: 1. .. _Fast and Accurate Neural CRF Constituency Parsing: https://www.ijcai.org/Proceedings/2020/560/ """ def __init__(self, n_words, n_feats, n_labels, feat='char', n_embed=100, n_feat_embed=100, n_char_embed=50, bert=None, n_bert_layers=4, mix_dropout=.0, embed_dropout=.33, n_lstm_hidden=400, n_lstm_layers=3, lstm_dropout=.33, n_mlp_span=500, n_mlp_label=100, mlp_dropout=.33, feat_pad_index=0, pad_index=0, unk_index=1, **kwargs): super().__init__() self.args = Config().update(locals()) # the embedding layer self.word_embed = nn.Embedding(num_embeddings=n_words, embedding_dim=n_embed) if feat == 'char': self.feat_embed = CharLSTM(n_chars=n_feats, n_embed=n_char_embed, n_out=n_feat_embed, pad_index=feat_pad_index) elif feat == 'bert': self.feat_embed = BertEmbedding(model=bert, n_layers=n_bert_layers, n_out=n_feat_embed, pad_index=feat_pad_index, dropout=mix_dropout) self.n_feat_embed = self.feat_embed.n_out elif feat == 'tag': self.feat_embed = nn.Embedding(num_embeddings=n_feats, embedding_dim=n_feat_embed) else: raise RuntimeError("The feat type should be in ['char', 'bert', 'tag'].") self.embed_dropout = IndependentDropout(p=embed_dropout) # the lstm layer self.lstm = BiLSTM(input_size=n_embed + n_feat_embed, hidden_size=n_lstm_hidden, num_layers=n_lstm_layers, dropout=lstm_dropout) self.lstm_dropout = SharedDropout(p=lstm_dropout) self.decoder_layers = n_lstm_layers # the MLP layers # self.mlp_span_l = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_span, # dropout=mlp_dropout) # self.mlp_span_r = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_span, # dropout=mlp_dropout) self.mlp_span_splitting = MLP(n_in=n_lstm_hidden * 2, n_out=n_mlp_span, dropout=mlp_dropout) # self.mlp_label_l = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_label, # dropout=mlp_dropout) # self.mlp_label_r = MLP(n_in=n_lstm_hidden*2, # n_out=n_mlp_label, # dropout=mlp_dropout) # # # # the Biaffine layers # # self.span_attn = Biaffine(n_in=n_mlp_span, # # bias_x=True, # # bias_y=False) # self.label_attn = Biaffine(n_in=n_mlp_label, # n_out=n_labels, # bias_x=True, # bias_y=True) # self.crf = CRFConstituency() # self.criterion = nn.CrossEntropyLoss() self.pad_index = pad_index self.unk_index = unk_index self.hx_dense = nn.Linear(2 * n_lstm_hidden, 2 * n_lstm_hidden) def load_pretrained(self, embed=None): if embed is not None: self.pretrained = nn.Embedding.from_pretrained(embed) nn.init.zeros_(self.word_embed.weight) return self def forward(self, words, feats): """ Args: words (~torch.LongTensor) [batch_size, seq_len]: The word indices. feats (~torch.LongTensor): The feat indices. If feat is 'char' or 'bert', the size of feats should be [batch_size, seq_len, fix_len] If 'tag', then the size is [batch_size, seq_len]. Returns: s_span (~torch.Tensor): ``[batch_size, seq_len, seq_len]``. The scores of all possible spans. s_label (~torch.Tensor): ``[batch_size, seq_len, seq_len, n_labels]``. The scores of all possible labels on each span. """ batch_size, seq_len = words.shape # get the mask and lengths of given batch mask = words.ne(self.pad_index) ext_words = words # set the indices larger than num_embeddings to unk_index if hasattr(self, 'pretrained'): ext_mask = words.ge(self.word_embed.num_embeddings) ext_words = words.masked_fill(ext_mask, self.unk_index) # get outputs from embedding layers word_embed = self.word_embed(ext_words) if hasattr(self, 'pretrained'): word_embed += self.pretrained(words) feat_embed = self.feat_embed(feats) word_embed, feat_embed = self.embed_dropout(word_embed, feat_embed) # concatenate the word and feat representations embed = torch.cat((word_embed, feat_embed), -1) x = pack_padded_sequence(embed, mask.sum(1).cpu(), True, False) x, hidden = self.lstm(x) x, _ = pad_packed_sequence(x, True, total_length=seq_len) x = self.lstm_dropout(x) x_f, x_b = x.chunk(2, -1) fencepost = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1) decoder_init_state = self._transform_decoder_init_state(hidden) # x = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1) # apply MLPs to the BiLSTM output states # span_l = self.mlp_span_l(x) # span_r = self.mlp_span_r(x) span_split = self.mlp_span_splitting(fencepost) # label_l = self.mlp_label_l(fencepost) # label_r = self.mlp_label_r(fencepost) # # # [batch_size, seq_len, seq_len] # # s_span = self.span_attn(span_l, span_r) # # [batch_size, seq_len, seq_len, n_labels] # s_label = self.label_attn(label_l, label_r).permute(0, 2, 3, 1) # return fencepost, span_split, decoder_init_state, s_label return fencepost, span_split, decoder_init_state def _transform_decoder_init_state(self, hn): # we would generate assert isinstance(hn, tuple) if isinstance(hn, tuple): hn, cn = hn _, batch, hidden_size = cn.size() # take the last layers # [batch, 2 * hidden_size] --> [1, batch, 2 * hidden_size] cn = torch.cat([cn[-2], cn[-1]], dim=1).unsqueeze(0) # take hx_dense to [1, batch, hidden_size] cn = self.hx_dense(cn) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: cn = torch.cat([cn, cn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) # hn is tanh(cn) hn = torch.tanh(cn) hn = (hn, cn) else: # take the last layers # [2, batch, hidden_size] hn = hn[-2:] # hn [2, batch, hidden_size] _, batch, hidden_size = hn.size() # first convert hn t0 [batch, 2, hidden_size] hn = hn.transpose(0, 1).contiguous() # then view to [batch, 1, 2 * hidden_size] --> [1, batch, 2 * hidden_size] hn = hn.view(batch, 1, 2 * hidden_size).transpose(0, 1) # take hx_dense to [1, batch, hidden_size] hn = torch.tanh(self.hx_dense(hn)) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: hn = torch.cat([hn, hn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) return hn class EncoderFenceDiscourseEduRepRnn(nn.Module): """ Args: n_words (int): Size of the word vocabulary. n_feats (int): Size of the feat vocabulary. n_labels (int): Number of labels. feat (str): Specifies which type of additional feature to use: 'char' | 'bert' | 'tag'. 'char': Character-level representations extracted by CharLSTM. 'bert': BERT representations, other pretrained langugae models like `XLNet` are also feasible. 'tag': POS tag embeddings. Default: 'char'. n_embed (int): Size of word embeddings. Default: 100. n_feat_embed (int): Size of feature representations. Default: 100. n_char_embed (int): Size of character embeddings serving as inputs of CharLSTM, required if feat='char'. Default: 50. bert (str): Specify which kind of language model to use, e.g., 'bert-base-cased' and 'xlnet-base-cased'. This is required if feat='bert'. The full list can be found in `transformers`. Default: `None`. n_bert_layers (int): Specify how many last layers to use. Required if feat='bert'. The final outputs would be the weight sum of the hidden states of these layers. Default: 4. mix_dropout (float): Dropout ratio of BERT layers. Required if feat='bert'. Default: .0. embed_dropout (float): Dropout ratio of input embeddings. Default: .33. n_lstm_hidden (int): Dimension of LSTM hidden states. Default: 400. n_lstm_layers (int): Number of LSTM layers. Default: 3. lstm_dropout (float): Dropout ratio of LSTM. Default: .33. n_mlp_span (int): Span MLP size. Default: 500. n_mlp_label (int): Label MLP size. Default: 100. mlp_dropout (float): Dropout ratio of MLP layers. Default: .33. feat_pad_index (int): The index of the padding token in the feat vocabulary. Default: 0. pad_index (int): The index of the padding token in the word vocabulary. Default: 0. unk_index (int): The index of the unknown token in the word vocabulary. Default: 1. .. _Fast and Accurate Neural CRF Constituency Parsing: https://www.ijcai.org/Proceedings/2020/560/ """ def __init__(self, n_words, n_feats, n_labels, feat='char', n_embed=100, n_feat_embed=100, n_char_embed=50, bert=None, n_bert_layers=4, mix_dropout=.0, embed_dropout=.33, n_lstm_hidden=400, n_lstm_layers=3, lstm_dropout=.33, n_mlp_span=500, n_mlp_label=100, mlp_dropout=.33, feat_pad_index=0, pad_index=0, unk_index=1, **kwargs): super().__init__() self.args = Config().update(locals()) # the embedding layer self.word_embed = nn.Embedding(num_embeddings=n_words, embedding_dim=n_embed) if feat == 'char': self.feat_embed = CharLSTM(n_chars=n_feats, n_embed=n_char_embed, n_out=n_feat_embed, pad_index=feat_pad_index) elif feat == 'bert': self.feat_embed = BertEmbedding(model=bert, n_layers=n_bert_layers, n_out=n_feat_embed, pad_index=feat_pad_index, dropout=mix_dropout) self.n_feat_embed = self.feat_embed.n_out elif feat == 'tag': self.feat_embed = nn.Embedding(num_embeddings=n_feats, embedding_dim=n_feat_embed) else: raise RuntimeError("The feat type should be in ['char', 'bert', 'tag'].") self.embed_dropout = IndependentDropout(p=embed_dropout) # the lstm layer self.token_lstm = BiLSTM(input_size=n_embed + n_feat_embed, hidden_size=n_lstm_hidden, num_layers=n_lstm_layers, dropout=lstm_dropout) self.token_lstm_dropout = SharedDropout(p=lstm_dropout) self.edu_lstm = BiLSTM(input_size=n_lstm_hidden * 2, hidden_size=n_lstm_hidden, num_layers=n_lstm_layers, dropout=lstm_dropout) self.edu_lstm_dropout = SharedDropout(p=lstm_dropout) self.decoder_layers = n_lstm_layers self.mlp_span_splitting = MLP(n_in=n_lstm_hidden * 2, n_out=n_mlp_span, dropout=mlp_dropout) self.pad_index = pad_index self.unk_index = unk_index self.hx_dense = nn.Linear(2 * n_lstm_hidden, 2 * n_lstm_hidden) def load_pretrained(self, embed=None): if embed is not None: self.pretrained = nn.Embedding.from_pretrained(embed) nn.init.zeros_(self.word_embed.weight) return self def forward(self, words, feats, edu_break): """ Args: words (~torch.LongTensor) [batch_size, seq_len]: The word indices. feats (~torch.LongTensor): The feat indices. If feat is 'char' or 'bert', the size of feats should be [batch_size, seq_len, fix_len] If 'tag', then the size is [batch_size, seq_len]. edu_break (~torch.LongTensor) [batch_size, max_edu_num] The last indices of EDU Returns: s_span (~torch.Tensor): ``[batch_size, seq_len, seq_len]``. The scores of all possible spans. s_label (~torch.Tensor): ``[batch_size, seq_len, seq_len, n_labels]``. The scores of all possible labels on each span. """ batch_size, seq_len = words.shape # get the mask and lengths of given batch mask = words.ne(self.pad_index) ext_words = words # set the indices larger than num_embeddings to unk_index if hasattr(self, 'pretrained'): ext_mask = words.ge(self.word_embed.num_embeddings) ext_words = words.masked_fill(ext_mask, self.unk_index) # get outputs from embedding layers word_embed = self.word_embed(ext_words) if hasattr(self, 'pretrained'): word_embed += self.pretrained(words) feat_embed = self.feat_embed(feats) word_embed, feat_embed = self.embed_dropout(word_embed, feat_embed) # concatenate the word and feat representations embed = torch.cat((word_embed, feat_embed), -1) x = pack_padded_sequence(embed, mask.sum(1).to('cpu'), True, False) x, hidden = self.token_lstm(x) x, _ = pad_packed_sequence(x, True, total_length=seq_len) x = self.token_lstm_dropout(x) x_f, x_b = x.chunk(2, -1) fencepost = torch.cat((x_f[:, :-1], x_b[:, 1:]), -1) # find edu_boundary_representation padded_zero = edu_break.new_zeros(batch_size) edu_include_boundary_zero = torch.cat([padded_zero.unsqueeze(-1), edu_break], dim=1) edu_len_include_boundary_zero = edu_include_boundary_zero.ne(self.pad_index).sum(1) + 1 _, edu_len = edu_include_boundary_zero.shape edu_boundary_emb = fencepost[torch.arange(batch_size).unsqueeze(1), edu_include_boundary_zero] edu_boundary_rep = pack_padded_sequence(edu_boundary_emb, edu_len_include_boundary_zero.to('cpu'), True, False) edu_boundary_rep, hidden_edu = self.edu_lstm(edu_boundary_rep) edu_boundary_rep, _ = pad_packed_sequence(edu_boundary_rep, True, total_length=edu_len) edu_boundary_rep = self.edu_lstm_dropout(edu_boundary_rep) # decoder_init_state = self._transform_decoder_init_state(hidden) # span_split = self.mlp_span_splitting(fencepost) decoder_init_state = self._transform_decoder_init_state(hidden_edu) span_split = self.mlp_span_splitting(edu_boundary_rep) # return fencepost, span_split, decoder_init_state return edu_boundary_rep, span_split, decoder_init_state def _transform_decoder_init_state(self, hn): # we would generate assert isinstance(hn, tuple) if isinstance(hn, tuple): hn, cn = hn _, batch, hidden_size = cn.size() # take the last layers # [batch, 2 * hidden_size] --> [1, batch, 2 * hidden_size] cn = torch.cat([cn[-2], cn[-1]], dim=1).unsqueeze(0) # take hx_dense to [1, batch, hidden_size] cn = self.hx_dense(cn) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: cn = torch.cat([cn, cn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) # hn is tanh(cn) hn = torch.tanh(cn) hn = (hn, cn) else: # take the last layers # [2, batch, hidden_size] hn = hn[-2:] # hn [2, batch, hidden_size] _, batch, hidden_size = hn.size() # first convert hn t0 [batch, 2, hidden_size] hn = hn.transpose(0, 1).contiguous() # then view to [batch, 1, 2 * hidden_size] --> [1, batch, 2 * hidden_size] hn = hn.view(batch, 1, 2 * hidden_size).transpose(0, 1) # take hx_dense to [1, batch, hidden_size] hn = torch.tanh(self.hx_dense(hn)) # [decoder_layers, batch, hidden_size] if self.decoder_layers > 1: hn = torch.cat([hn, hn.new_zeros(self.decoder_layers - 1, batch, 2 * hidden_size)], dim=0) return hn

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Python

tests/plugins/loading/plugins/setupreturnsnottype/setupreturnsnottype.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

tests/plugins/loading/plugins/setupreturnsnottype/setupreturnsnottype.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

tests/plugins/loading/plugins/setupreturnsnottype/setupreturnsnottype.py

doraskayo/buildstream

1c72d4342ae7df360808de22c5e49f55dbb6bec6

[ "Apache-2.0" ]

null

# A plugin's setup symbol is supposed to be a function # which returns the plugin type. # # This plugin's setup function returns a number instead def setup(): return 5

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py

Python

src/selectml/sk/distance.py

darcyabjones/selectml

fc63f9de0e0e4c496f34d2a77f169a2c59968786

[ "Apache-2.0" ]

1

2021-12-07T04:28:39.000Z

src/selectml/sk/distance.py

darcyabjones/selectml

fc63f9de0e0e4c496f34d2a77f169a2c59968786

[ "Apache-2.0" ]

null

src/selectml/sk/distance.py

darcyabjones/selectml

fc63f9de0e0e4c496f34d2a77f169a2c59968786

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 import numpy as np from sklearn.base import TransformerMixin, BaseEstimator from sklearn.utils.validation import ( check_array, check_is_fitted, ) from typing import TYPE_CHECKING if TYPE_CHECKING: from typing import Optional import numpy.typing as npt class VanRadenSimilarity(TransformerMixin, BaseEstimator): """Get the Van Raden similarity matrix. Examples: >>> import numpy as np >>> from selectml.sk.distance import VanRadenSimilarity >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> VanRadenSimilarity().fit_transform(X) array([[ 0.53731343, 0. , 0.28358209, 0.07462687, 0.35820896], [ 0. , 0.28358209, -0.17910448, 0.05970149, 0.19402985], [ 0.28358209, -0.17910448, 0.92537313, 0.26865672, 0.40298507], [ 0.07462687, 0.05970149, 0.26865672, 0.95522388, 0.49253731], [ 0.35820896, 0.19402985, 0.40298507, 0.49253731, 1. ]]) """ requires_y: bool = False def __init__( self, *, ploidy: int = 2, distance: bool = False, scale: bool = True, copy: bool = True ): self.distance = distance self.scale = scale self.ploidy = ploidy self.copy = copy return def _reset(self): if hasattr(self, 'n_samples_seen_'): del self.n_samples_seen_ del self.allele_counts_ del self.X_ del self.denom_ del self.P_ del self.max_ del self.min_ del self.n_features_ del self.n_features_in_ return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "VanRadenSimilarity": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'n_samples_seen_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self ) all_ok = True # np.isin(X[~np.isnan(X)], np.arange(self.ploidy + 1)).all() if not all_ok: raise ValueError( "Encountered a value less than 0 or greater " f"than {self.ploidy}." ) # Maybe raise a warning if no 0s or 2s i.e. maybe smaller ploidy than # specified. if first_pass: self.n_samples_seen_ = (~np.isnan(X)).sum(axis=0) self.allele_counts_ = (self.ploidy - X_).sum(axis=0) self.X_ = X_ self.max_ = float("-inf") self.min_ = float("inf") else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.n_samples_seen_ += (~np.isnan(X_)).sum(axis=0) self.allele_counts_ += (self.ploidy - X_).sum(axis=0) self.X_ = np.concatenate([self.X_, X_]) self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] # Frequency of alternate allele p_i = self.allele_counts_ / (self.ploidy * self.n_samples_seen_) # Adding eps is just to avoid zero division self.denom_ = ( (self.ploidy * np.sum(p_i * (1 - p_i))) + np.finfo(float).eps ) self.P_ = self.ploidy * (p_i - 0.5) # This is just so we can get the unscaled max scale = self.scale self.scale = False results = self.transform(X_) self.scale = scale self.max_ = max([self.max_, np.max(np.abs(results))]) self.min_ = min([self.min_, np.min(np.abs(results))]) return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "VanRadenSimilarity": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() p = self.partial_fit(X, y) return p def transform( self, X: "npt.ArrayLike" ) -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") Xtrain = self.X_ - ((self.ploidy / 2) + self.P_) X_ = X_ - ((self.ploidy / 2) + self.P_) dists = X_.dot(Xtrain.T) / self.denom_ # Min max scale if self.scale: diff = self.max_ - self.min_ + np.finfo(float).eps dists -= self.min_ dists /= diff if self.distance: return -1 * dists else: return dists class ManhattanDistance(TransformerMixin, BaseEstimator): """Get the Manhattan distance matrix. Examples: >>> import numpy as np >>> from selectml.sk.distance import ManhattanDistance >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> ManhattanDistance().fit_transform(X) array([[ 0., 7., 8., 12., 9.], [ 7., 0., 13., 11., 10.], [ 8., 13., 0., 10., 9.], [12., 11., 10., 0., 7.], [ 9., 10., 9., 7., 0.]]) """ requires_y: bool = False def __init__(self, *, similarity: bool = False): self.similarity = similarity return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "ManhattanDistance": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "ManhattanDistance": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_ = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") dist = np.apply_along_axis( lambda x: np.abs(self.X_ - x).sum(axis=1), 1, X_ ) if self.similarity: return -1 * dist else: return dist class EuclideanDistance(TransformerMixin, BaseEstimator): """ Get the Euclidean distance matrix. Examples: >>> import numpy as np >>> from selectml.sk.distance import EuclideanDistance >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> EuclideanDistance().fit_transform(X) array([[ 0., 11., 12., 18., 11.], [11., 0., 21., 15., 12.], [12., 21., 0., 18., 15.], [18., 15., 18., 0., 13.], [11., 12., 15., 13., 0.]]) """ requires_y: bool = False def __init__(self, *, similarity: bool = False): self.similarity = similarity return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "EuclideanDistance": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "EuclideanDistance": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") dist = np.apply_along_axis( lambda x: ((self.X_ - x) ** 2).sum(axis=1), 1, X_ ) if self.similarity: return -1 * dist else: return dist class HammingDistance(TransformerMixin, BaseEstimator): """Get the Hamming distance matrix. Examples: >>> import numpy as np >>> from selectml.sk.distance import HammingDistance >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> HammingDistance().fit_transform(X) array([[0., 5., 6., 9., 8.], [5., 0., 9., 9., 9.], [6., 9., 0., 6., 6.], [9., 9., 6., 0., 4.], [8., 9., 6., 4., 0.]]) """ requires_y: bool = False def __init__(self, *, similarity: bool = False): self.similarity = similarity return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "HammingDistance": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "HammingDistance": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") dist = np.apply_along_axis( lambda x: (self.X_ != x).sum(axis=1), 1, X_ ) dist = dist.astype(X_.dtype) if self.similarity: return -1 * dist else: return dist class NOIAAdditiveKernel(TransformerMixin, BaseEstimator): """Get the NOIA Additive distance kernel. Examples: >>> import numpy as np >>> from selectml.sk.distance import NOIAAdditiveKernel >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> NOIAAdditiveKernel().fit_transform(X) array([[ 0.78082192, -0.04109589, -0.00684932, -0.55479452, -0.17808219], [-0.04109589, 1.02054795, -0.65753425, -0.17808219, -0.14383562], [-0.00684932, -0.65753425, 1.26027397, -0.31506849, -0.28082192], [-0.55479452, -0.17808219, -0.31506849, 1.19178082, -0.14383562], [-0.17808219, -0.14383562, -0.28082192, -0.14383562, 0.74657534]]) """ requires_y: bool = False def __init__( self, AA: float = 2., Aa: float = 1., aa: float = 0., copy: bool = True ): from .preprocessor import NOIAAdditiveScaler self.scaler = NOIAAdditiveScaler(AA=AA, Aa=Aa, aa=aa) self.copy = copy return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "NOIAAdditiveKernel": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.scaler.partial_fit(X_) scaled = self.scaler.transform(self.X_) mat = scaled.dot(scaled.T) self.trace = mat.trace() self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "NOIAAdditiveKernel": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ del self.trace_ self.scaler._reset() return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_ = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") X_trans = self.scaler.transform(X_) train_trans = self.scaler.transform(self.X_) dotprod = X_trans.dot(train_trans.T) return dotprod / (self.trace / self.X_.shape[0]) class NOIADominanceKernel(TransformerMixin, BaseEstimator): """Get the NOIA Dominance similarity kernel. Examples: >>> import numpy as np >>> from selectml.sk.distance import NOIADominanceKernel >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> NOIADominanceKernel().fit_transform(X) array([[ 1.19398514, 0.46848641, -0.49215089, -0.50930513, -0.66101553], [ 0.46848641, 1.6314182 , -0.38734268, -0.85218068, -0.86038124], [-0.49215089, -0.38734268, 0.51388238, 0.2586608 , 0.10695039], [-0.50930513, -0.85218068, 0.2586608 , 0.67454646, 0.42827855], [-0.66101553, -0.86038124, 0.10695039, 0.42827855, 0.98616783]]) """ requires_y: bool = False def __init__( self, AA: float = 2, Aa: float = 1, aa: float = 0, copy: bool = True ): from .preprocessor import NOIADominanceScaler self.scaler = NOIADominanceScaler(AA=AA, Aa=Aa, aa=aa) self.copy = copy return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "NOIADominanceKernel": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.scaler.partial_fit(X_) scaled = self.scaler.transform(self.X_) mat = scaled.dot(scaled.T) self.trace = mat.trace() self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "NOIADominanceKernel": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ del self.trace_ self.scaler._reset() return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_ = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") X_trans = self.scaler.transform(X_) train_trans = self.scaler.transform(self.X_) dotprod = X_trans.dot(train_trans.T) return dotprod / (self.trace / self.X_.shape[0]) class HadamardCovariance(TransformerMixin, BaseEstimator): """Get the Hadamard product of two kernels. Note that the two kernels must return square matrices for this to work. Examples: >>> import numpy as np >>> from selectml.sk.distance import ( ... HadamardCovariance, ... NOIAAdditiveKernel ... ) >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> k = NOIAAdditiveKernel() >>> HadamardCovariance(a=k, b=k, fit_b=False).fit_transform(X) array([[5.84299e-01, 1.61855e-03, 4.49599e-05, 2.94982e-01, 3.03929e-02], [1.61855e-03, 9.98156e-01, 4.14351e-01, 3.03929e-02, 1.98273e-02], [4.49599e-05, 4.14351e-01, 1.52216e+00, 9.51353e-02, 7.55777e-02], [2.94982e-01, 3.03929e-02, 9.51353e-02, 1.36120e+00, 1.98273e-02], [3.03929e-02, 1.98273e-02, 7.55777e-02, 1.98273e-02, 5.34169e-01]]) """ requires_y: bool = False def __init__( self, a, b, copy: bool = True, fit_a: bool = True, fit_b: bool = True, ): self.copy = copy self.a = a self.b = b self.fit_a = fit_a self.fit_b = fit_b return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "HadamardCovariance": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) if self.fit_a: self.a.partial_fit(X_) if self.fit_b: self.b.partial_fit(X_) A = self.a.transform(self.X_) B = self.b.transform(self.X_) AB = A * B self.trace = AB.trace() self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "HadamardCovariance": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ del self.trace_ self.a._reset() self.b._reset() return def transform(self, X: "npt.ArrayLike") -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_ = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") A = self.a.transform(self.X_) B = self.b.transform(self.X_) AB = A * B return AB / (self.trace / self.X_.shape[0]) class SquaredEuclideanDistance(TransformerMixin, BaseEstimator): """ Get the Euclidean distance matrix. Examples: >>> import numpy as np >>> from selectml.sk.distance import SquaredEuclideanDistance >>> from selectml.data import basic >>> X, _, _ = basic() >>> X = np.unique(X, axis=0) >>> SquaredEuclideanDistance().fit_transform(X) array([[1. , 0.3328, 0.3011, 0.1652, 0.3328], [0.3328, 1. , 0.1224, 0.2231, 0.3011], [0.3011, 0.1224, 1. , 0.1652, 0.2231], [0.1652, 0.2231, 0.1652, 1. , 0.2725], [0.3328, 0.3011, 0.2231, 0.2725, 1. ]]) """ requires_y: bool = False def __init__(self, *, bandwidth: float = 1): self.bandwidth = bandwidth return def partial_fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "SquaredEuclideanDistance": """Online computation of min and max on X for later scaling. All of X is processed as a single batch. This is intended for cases when :meth:`fit` is not feasible due to very large number of `n_samples` or because X is read from a continuous stream. Parameters ---------- X : array-like of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ first_pass = not hasattr(self, 'X_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if first_pass: self.X_ = X_ else: assert X_.shape[1] == self.X_.shape[1], \ "Must have same number of features" self.X_ = np.concatenate([self.X_, X_]) self.n_features_in_ = self.X_.shape[1] self.n_features_ = self.X_.shape[0] return self def fit( self, X: "npt.ArrayLike", y: "Optional[npt.ArrayLike]" = None ) -> "EuclideanDistance": """Compute the mean and std to be used for later scaling. Parameters ---------- X : {array-like, sparse matrix} of shape (n_samples, n_features) The data used to compute the mean and standard deviation used for later scaling along the features axis. y : None Ignored. Returns ------- self : object Fitted scaler. """ # Reset internal state before fitting self._reset() return self.partial_fit(X, y) def _reset(self): if hasattr(self, 'n_features_in_'): del self.n_features_in_ del self.n_features_ del self.X_ return def transform( self, X: "npt.ArrayLike", dist: "Optional[float]" = None ) -> np.ndarray: """Scale features of X according to feature_range. Parameters ---------- X : array-like of shape (n_samples, n_features) Input data that will be transformed. Returns ------- Xt : ndarray of shape (n_samples, n_features) Transformed data. """ check_is_fitted(self, 'n_features_in_') X_: np.ndarray = check_array( X, accept_sparse=False, accept_large_sparse=False, dtype="numeric", force_all_finite=True, estimator=self, ) if X_.shape[1] != self.n_features_in_: raise ValueError("Must have same number of features") dist = np.apply_along_axis( lambda x: ((self.X_ - x) ** 2).sum(axis=1), 1, X_ ) if dist is None: dist = self.dist return np.exp((-self.bandwidth * dist) / X_.shape[1])

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2e06578e3ab2277a8fc4e06597ed9ca64c217145

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py

Python

tests/IT/fixtures/fixture.py

testandconquer/pytest-conquer

da600c7f5bcd06aa62c5cca9b75370bf1a6ebf05

[ "MIT" ]

null

tests/IT/fixtures/fixture.py

testandconquer/pytest-conquer

da600c7f5bcd06aa62c5cca9b75370bf1a6ebf05

[ "MIT" ]

5

2018-12-27T02:52:01.000Z

2019-01-02T01:52:55.000Z

tests/IT/fixtures/fixture.py

testandconquer/pytest-conquer

da600c7f5bcd06aa62c5cca9b75370bf1a6ebf05

[ "MIT" ]

null

import pytest @pytest.fixture() def fixture_import(): return 'import'

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py

Python

norma43parser/test/test_parser.py

sergief/norma43parser

21ea831a782f2bef3110d2253cf9a7c7c4aec126

[ "MIT" ]

null

norma43parser/test/test_parser.py

sergief/norma43parser

21ea831a782f2bef3110d2253cf9a7c7c4aec126

[ "MIT" ]

null

norma43parser/test/test_parser.py

sergief/norma43parser

21ea831a782f2bef3110d2253cf9a7c7c4aec126

[ "MIT" ]

1

2022-01-25T18:33:37.000Z

import os from datetime import date from decimal import Decimal from norma43parser import Norma43Parser, DateFormat class TestParserSingleAccount: @classmethod def setup_class(cls): cls.FILE_CONTENT = """111234222212345678900102180202182000000002000009783ACME INC XYZAB 2212342222010218010218011112000000000050250000000000NEW MAC COMPUTER 2301PAYMENT OPERATION APPROVED 2302GROCERIES AND OTHER PAYMENTS SSSLLLAB 3312342222123456789000000000000000000000000200000000015075200000000215075978 88999999999999999999123456""" cls.norma_43_document = Norma43Parser(DateFormat.SPANISH).parse(cls.FILE_CONTENT) def test_parse_header_bank_code(self): assert self.norma_43_document.accounts[0].header.bank_code == "1234" def test_parse_header_branch_code(self): assert self.norma_43_document.accounts[0].header.branch_code == "2222" def test_parse_header_account_number(self): assert self.norma_43_document.accounts[0].header.account_number == "1234567890" def test_parse_header_start_date(self): assert self.norma_43_document.accounts[0].header.start_date == date(2018, 2, 1) def test_parse_header_end_date(self): assert self.norma_43_document.accounts[0].header.end_date == date(2018, 2, 2) def test_parse_header_initial_balance(self): assert self.norma_43_document.accounts[0].header.initial_balance == Decimal("2000.00") def test_parse_header_currency(self): assert self.norma_43_document.accounts[0].header.currency == "978" def test_parse_header_information_mode_code(self): assert self.norma_43_document.accounts[0].header.information_mode_code == "3" def test_parse_header_account_name(self): assert self.norma_43_document.accounts[0].header.account_name == "ACME INC XYZAB" def test_parse_branch_code(self): assert self.norma_43_document.accounts[0].movement_lines[0].branch_code == "2222" def test_parse_transaction_date(self): assert self.norma_43_document.accounts[0].movement_lines[0].transaction_date == date(2018, 2, 1) def test_parse_amount(self): assert self.norma_43_document.accounts[0].movement_lines[0].amount == Decimal("50.25") def test_parse_description(self): assert self.norma_43_document.accounts[0].movement_lines[0].description == "NEW MAC COMPUTER" def test_parse_extra_information(self): extra_information = self.norma_43_document.accounts[0].movement_lines[0].extra_information assert len(extra_information) == 2 assert extra_information[0] == "PAYMENT OPERATION APPROVED" assert extra_information[1] == "GROCERIES AND OTHER PAYMENTS SSSLLLAB" def test_parse_footer_bank_code(self): assert self.norma_43_document.accounts[0].footer.bank_code == "1234" def test_parse_footer_branch_code(self): assert self.norma_43_document.accounts[0].footer.branch_code == "2222" def test_parse_footer_account_number(self): assert self.norma_43_document.accounts[0].footer.account_number == "1234567890" def test_parse_footer_debit_entries(self): assert self.norma_43_document.accounts[0].footer.debit_entries == 0 def test_parse_footer_debit_amount(self): assert self.norma_43_document.accounts[0].footer.debit_amount == 0 def test_parse_footer_credit_entries(self): assert self.norma_43_document.accounts[0].footer.credit_entries == 2 def test_parse_footer_credit_amount(self): assert self.norma_43_document.accounts[0].footer.credit_amount == Decimal("150.75") def test_parse_footer_final_balance(self): assert self.norma_43_document.accounts[0].footer.final_balance == Decimal("2150.75") def test_parse_footer_currency(self): assert self.norma_43_document.accounts[0].footer.currency == "978" def test_parse_end_of_file(self): assert self.norma_43_document.reported_entries == 123456 class TestParseMultiAccountAccount: @classmethod def setup_class(cls): cls.FILE_CONTENT = """111234222212345678900102180202182000000002000009783ACME INC XYZAB 2212342222010218010218011112000000000050250000000000NEW MAC COMPUTER 2301PAYMENT OPERATION APPROVED 2302GROCERIES AND OTHER PAYMENTS SSSLLLAB 3312342222123456789000000000000000000000000200000000015075200000000215075978 114321444498765432100405200505202000000003000009793EVIL CORPORATI088 2243214444040520040520011112000000000050270000000000CONCEPT PAYMENT1 2301SUCCESSFUL PAYMENT OPERAT. 2302SUPERMARKET AND OTHER PAYMENTS S12345 3343214444987654321000000000000000000000000200000000015175200000000215175979 88999999999999999999123456""" cls.norma_43_document = Norma43Parser(DateFormat.SPANISH).parse(cls.FILE_CONTENT) def test_parse_header_bank_code(self): assert self.norma_43_document.accounts[0].header.bank_code == "1234" assert self.norma_43_document.accounts[1].header.bank_code == "4321" def test_parse_header_branch_code(self): assert self.norma_43_document.accounts[0].header.branch_code == "2222" assert self.norma_43_document.accounts[1].header.branch_code == "4444" def test_parse_header_account_number(self): assert self.norma_43_document.accounts[0].header.account_number == "1234567890" assert self.norma_43_document.accounts[1].header.account_number == "9876543210" def test_parse_header_start_date(self): assert self.norma_43_document.accounts[0].header.start_date == date(2018, 2, 1) assert self.norma_43_document.accounts[1].header.start_date == date(2020, 5, 4) def test_parse_header_end_date(self): assert self.norma_43_document.accounts[0].header.end_date == date(2018, 2, 2) assert self.norma_43_document.accounts[1].header.end_date == date(2020, 5, 5) def test_parse_header_initial_balance(self): assert self.norma_43_document.accounts[0].header.initial_balance == Decimal("2000.00") assert self.norma_43_document.accounts[1].header.initial_balance == Decimal("3000.00") def test_parse_header_currency(self): assert self.norma_43_document.accounts[0].header.currency == "978" assert self.norma_43_document.accounts[1].header.currency == "979" def test_parse_header_information_mode_code(self): assert self.norma_43_document.accounts[0].header.information_mode_code == "3" assert self.norma_43_document.accounts[1].header.information_mode_code == "3" def test_parse_header_account_name(self): assert self.norma_43_document.accounts[0].header.account_name == "ACME INC XYZAB" assert self.norma_43_document.accounts[1].header.account_name == "EVIL CORPORATI088" def test_parse_branch_code(self): assert self.norma_43_document.accounts[0].movement_lines[0].branch_code == "2222" assert self.norma_43_document.accounts[1].movement_lines[0].branch_code == "4444" def test_parse_transaction_date(self): assert self.norma_43_document.accounts[0].movement_lines[0].transaction_date == date(2018, 2, 1) def test_parse_amount(self): assert self.norma_43_document.accounts[0].movement_lines[0].amount == Decimal("50.25") assert self.norma_43_document.accounts[1].movement_lines[0].amount == Decimal("50.27") def test_parse_description(self): assert self.norma_43_document.accounts[0].movement_lines[0].description == "NEW MAC COMPUTER" assert self.norma_43_document.accounts[1].movement_lines[0].description == "CONCEPT PAYMENT1" def test_parse_extra_information(self): extra_information = self.norma_43_document.accounts[0].movement_lines[0].extra_information assert len(extra_information) == 2 assert extra_information[0] == "PAYMENT OPERATION APPROVED" assert extra_information[1] == "GROCERIES AND OTHER PAYMENTS SSSLLLAB" extra_information = self.norma_43_document.accounts[1].movement_lines[0].extra_information assert len(extra_information) == 2 assert extra_information[0] == "SUCCESSFUL PAYMENT OPERAT." assert extra_information[1] == "SUPERMARKET AND OTHER PAYMENTS S12345" def test_parse_footer_bank_code(self): assert self.norma_43_document.accounts[0].footer.bank_code == "1234" assert self.norma_43_document.accounts[1].footer.bank_code == "4321" def test_parse_footer_branch_code(self): assert self.norma_43_document.accounts[0].footer.branch_code == "2222" assert self.norma_43_document.accounts[1].footer.branch_code == "4444" def test_parse_footer_account_number(self): assert self.norma_43_document.accounts[0].footer.account_number == "1234567890" assert self.norma_43_document.accounts[1].footer.account_number == "9876543210" def test_parse_footer_debit_entries(self): assert self.norma_43_document.accounts[0].footer.debit_entries == 0 assert self.norma_43_document.accounts[1].footer.debit_entries == 0 def test_parse_footer_debit_amount(self): assert self.norma_43_document.accounts[0].footer.debit_amount == 0 assert self.norma_43_document.accounts[1].footer.debit_amount == 0 def test_parse_footer_credit_entries(self): assert self.norma_43_document.accounts[0].footer.credit_entries == 2 assert self.norma_43_document.accounts[1].footer.credit_entries == 2 def test_parse_footer_credit_amount(self): assert self.norma_43_document.accounts[0].footer.credit_amount == Decimal("150.75") assert self.norma_43_document.accounts[1].footer.credit_amount == Decimal("151.75") def test_parse_footer_final_balance(self): assert self.norma_43_document.accounts[0].footer.final_balance == Decimal("2150.75") assert self.norma_43_document.accounts[1].footer.final_balance == Decimal("2151.75") def test_parse_footer_currency(self): assert self.norma_43_document.accounts[0].footer.currency == "978" assert self.norma_43_document.accounts[1].footer.currency == "979" def test_parse_end_of_file(self): assert self.norma_43_document.reported_entries == 123456 class TestParseBalance: @classmethod def setup_class(cls): cls.FILE_CONTENT = open(f"{os.path.dirname(__file__)}/fixtures/movements.n43", "r").read() def test_balance_values(self): norma_43 = Norma43Parser(date_format=DateFormat.SPANISH).parse(self.FILE_CONTENT) movement_lines = norma_43.accounts[0].movement_lines balances = [ "2439.44", "2369.15", "2298.86", "2160.29", "2159.29", "2063.29", "1967.29", "2467.29", "2424.04", "2418.89", "2414.24", "2378.24", "2358.93", "2332.23", "2308.03", "2301.59", ] for line in movement_lines: assert line.balance == Decimal(balances.pop(0))

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9

cf47739e57e0774b719988fc1d43d3e9b17a0c52

6,851

py

Python

RECONOCIMIENTO_PLACAS/Package/Modulo.py

Sebastianrza/Reconocimiento_Registro_Placas

252e7920f34a75dcd31e2183f7546e36657ee1d8

[ "MIT" ]

null

RECONOCIMIENTO_PLACAS/Package/Modulo.py

Sebastianrza/Reconocimiento_Registro_Placas

252e7920f34a75dcd31e2183f7546e36657ee1d8

[ "MIT" ]

null

RECONOCIMIENTO_PLACAS/Package/Modulo.py

Sebastianrza/Reconocimiento_Registro_Placas

252e7920f34a75dcd31e2183f7546e36657ee1d8

[ "MIT" ]

1

2021-05-13T15:35:31.000Z

import re import time class Persona: class Persona: def __init__(self, nombre, placa): self.nombre = nombre self.placa = placa def Comparar_Placas(): print("REGISTRO Y RECONOCIMIENTO ") print("DE PLACAS DE VEHICULOS EN PANAMA") print("-------------------") Placas_Registradas = open("/tmp/ Placas.txt", "w") Placas_Registradas.close() veces = int(input("Cuantas placas deseas evaluar: ")) for i in range(veces): nombre = Persona() nombre = input("Introduzca Nombre: ") placa = Persona() placa = input("\nIntroduzca su placa para evaluar: ") if re.match("^T([0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Taxi") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^M)([0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Moto") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^M)(B)([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Metro Bus") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^B)([0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Bus") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^C)(D)([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Cuerpo Diplomatico") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^M)([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Moto") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^D)([0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Automovil de Prueba") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^P)(R)([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Periodista") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^C)(C)([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Cuerpo Consular") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^E)([0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Juez o Fiscal") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() elif re.match("(^[A-Z_0-9])([A-Z-0-9])([0-9])([0-9])([0-9])([0-9]$)", placa): Placas_Registradas = open("/tmp/ Placas.txt", "a") print("{} Su placa {} es: ".format(nombre, placa)) print("\nPlaca de Carro Particular") Placas_Registradas.write("\n" + time.strftime("%d/%m/%y")) Placas_Registradas.write("\n" + time.strftime("%I:%M:%S")) Placas_Registradas.write("\n{} Su placa {} es: ".format(nombre, placa)) Placas_Registradas.write("\n") Placas_Registradas.close() else: print("{} Su placa {}: ".format(nombre, placa)) print("No coincide con la Base de Datos")

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85

0.532039

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0.223141

0

null

1

0

null

0

9

cf61647066aec749f2f9e5287fd1de61920a3248

4,055

py

Python

tutorial/tutorial/spiders/quote_spider.py

akhiljalan/mobility

c171870236e19cc73b9ff458a23307c1455383ca

[ "MIT" ]

null

tutorial/tutorial/spiders/quote_spider.py

akhiljalan/mobility

c171870236e19cc73b9ff458a23307c1455383ca

[ "MIT" ]

null

tutorial/tutorial/spiders/quote_spider.py

akhiljalan/mobility

c171870236e19cc73b9ff458a23307c1455383ca

[ "MIT" ]

null

import scrapy class QuotesSpider(scrapy.Spider): name = "quotes" # each spider name must be UQ in a project # the crawl command is scrapy crawl quotes # returns an iterable of requests # def start_requests(self): # urls = [ # 'http://quotes.toscrape.com/page/1/', # 'http://quotes.toscrape.com/page/2/', # ] # for url in urls: # yield scrapy.Request(url=url, callback=self.parse) start_urls = [ 'http://quotes.toscrape.com/page/1/', 'http://quotes.toscrape.com/page/2/', ] # def parse(self, response): for quote in response.css("div.quote"): yield { 'text': quote.css('span.text::text').extract_first(), 'author': quote.css('small.author::text').extract_first(), 'tags': quote.css('div.tags a.tag::text').extract(), } page = response.url.split("/")[-2] filename = 'quotes-%s.html' % page with open(filename, 'wb') as f: f.write(response.body) self.log('Saved file %s' % filename) #key syntax # the -o 'filename.txt' tag saves the results of the scraper # the 'yield{}' command in the callback is what returns things # launch the shell with scrapy shell <url> #http_begin = 'http://www.equality-of-opportunity.org' #links2 = response.css("#data_absolute a::attr(href)").extract() #work smarter, not harder! first wave of download links. we don't need any of the .dta files college_links = ['http://www.equality-of-opportunity.org/data/college/mrc_table1.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table1.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 1.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table2.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table2.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 2.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table3.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table3.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 3.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table4.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table4.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 4.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table5.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table5.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 5.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table6.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table6.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 6.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table7.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table7.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 7.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table8.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table8.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 8.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table9.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table9.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 9.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table10.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table10.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 10.pdf', 'http://www.equality-of-opportunity.org/data/college/mrc_table11.dta', 'http://www.equality-of-opportunity.org/data/college/mrc_table11.csv', 'http://www.equality-of-opportunity.org/data/college/Codebook MRC Table 11.pdf', 'http://www.equality-of-opportunity.org/data/college/replicate.zip']

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92

0.706782

597

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0.721889

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null

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1

0

1

0

null

0

9

d88147962479035b5957d74308eea7916a2c2977

883

py

Python

Experiments/STMeta/Runner_M1_1.py

nj-czy/UCTB

bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a

[ "MIT" ]

28

2020-02-28T03:16:43.000Z

2022-03-31T07:24:47.000Z

Experiments/STMeta/Runner_M1_1.py

nj-czy/UCTB

bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a

[ "MIT" ]

8

2020-06-30T09:34:56.000Z

2022-01-17T12:20:28.000Z

Experiments/STMeta/Runner_M1_1.py

nj-czy/UCTB

bddb8b47953bef1f44cb06f1a57a3d7efbd31c3a

[ "MIT" ]

13

2020-06-04T09:47:36.000Z

2022-02-25T09:50:52.000Z

import os ############################################################################################################ # Enrich gcn_k ############################################################################################################ os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_chengdu.data.yml -p ' 'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:64,mark:BM211') os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_xian.data.yml -p ' 'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:64,mark:BM211') os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_chengdu.data.yml -p ' 'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:128,mark:BM211') os.system('python STMeta_Obj.py -m STMeta_v1.model.yml -d didi_xian.data.yml -p ' 'gcn_k:2,gcn_layers:1,gclstm_layers:1,batch_size:128,mark:BM211')

51.941176

108

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129

883

3.51938

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0.176211

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0

0.047739

0.098528

883

17

109

51.941176

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true

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0

1

0

1

null

0

1

0

11

2b3df2578a38949720009549a3c32895b5fc723c

1,113

py

Python

torch_glow/tests/nodes/adaptive_avg_pool2d_test.py

dreamingleo/glow

8f9649bf1e1244692f2e14bdf57720f683d82618

[ "Apache-2.0" ]

3

2019-06-12T22:05:33.000Z

2020-02-20T22:21:50.000Z

torch_glow/tests/nodes/adaptive_avg_pool2d_test.py

dreamingleo/glow

8f9649bf1e1244692f2e14bdf57720f683d82618

[ "Apache-2.0" ]

1

2018-05-03T01:46:43.000Z

torch_glow/tests/nodes/adaptive_avg_pool2d_test.py

dreamingleo/glow

8f9649bf1e1244692f2e14bdf57720f683d82618

[ "Apache-2.0" ]

1

2020-02-13T10:46:16.000Z

from __future__ import absolute_import, division, print_function, unicode_literals import torch import torch.nn.functional as F from tests.utils import jitVsGlow def test_adaptive_avg_pool2d_basic(): """Basic test of PyTorch adaptive_avg_pool2d Node.""" def test_f(inputs): return F.adaptive_avg_pool2d(inputs, (5, 5)) inputs = torch.randn(3, 6, 14, 14) jitVsGlow(test_f, inputs, expected_fused_ops={"aten::adaptive_avg_pool2d"}) def test_adaptive_avg_pool2d_nonsquare_inputs(): """Test of PyTorch adaptive_avg_pool2d Node with non-square inputs.""" def test_f(inputs): return F.adaptive_avg_pool2d(inputs, (3, 3)) inputs = torch.randn(3, 6, 13, 14) jitVsGlow(test_f, inputs, expected_fused_ops={"aten::adaptive_avg_pool2d"}) def test_adaptive_avg_pool2d_nonsquare_outputs(): """Test of PyTorch adaptive_avg_pool2d Node with non-square outputs.""" def test_f(inputs): return F.adaptive_avg_pool2d(inputs, (5, 3)) inputs = torch.randn(3, 6, 14, 14) jitVsGlow(test_f, inputs, expected_fused_ops={"aten::adaptive_avg_pool2d"})

27.825

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null

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1

0

1

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7

2b7366c985995605e3b7ff0100f982a8ca7ee7e6

67

py

Python

alesisvsysex/device/__init__.py

wimcoelus/alesisvsysex

2e6c75acd6082ca592eb405c69dc8e43d14aa2c5

[ "MIT" ]

11

2018-08-09T22:37:36.000Z

2021-08-29T14:09:23.000Z

alesisvsysex/device/__init__.py

wimcoelus/alesisvsysex

2e6c75acd6082ca592eb405c69dc8e43d14aa2c5

[ "MIT" ]

12

2019-04-01T00:36:55.000Z

2021-11-13T20:11:32.000Z

alesisvsysex/device/__init__.py

wimcoelus/alesisvsysex

2e6c75acd6082ca592eb405c69dc8e43d14aa2c5

[ "MIT" ]

4

2019-12-12T07:54:59.000Z

2022-03-20T19:16:08.000Z

import alesisvsysex.device.alesis import alesisvsysex.device.file

16.75

33

0.865672

8

67

7.25

0.625

0.62069

0.827586

0

0.074627

67

3

34

22.333333

0.935484

0

1

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true

0

1

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1

0

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null

1

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1

0

null

0

1

0

1

0

1

0

7

9921ea4ced3566667ebdac2d41fe9370a413b898

8,342

py

Python

test/v3.1/combo.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

null

test/v3.1/combo.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

60

2021-03-29T14:29:49.000Z

2021-05-03T06:06:19.000Z

v3/v3.1/combo.py

gavinIRL/RHBot

1e22ae5ca7b67ebd6a72c23d9f46d5a8eb6e99cf

[ "MIT" ]

null

# This file will hold the weapon-specific information # And will include the preferred combinations of attacks # And hold the basic information of cooldown times, etc. class WeaponBagFocused(): # The preferred layout of skills for this class is as follows: # a = overhand # s = backhand # d = cannon spike # f = lock on # g = jet bike # h = summon mk-2 # s+a = electric line # s+s = shockmine # s+d = sentry laser # s+f = spiked mat # f1 = stun grenade # f2 = concentration def __init__(self, level=1) -> None: self.level = level def grab_base_cooldowns(self): cooldowns = {"a": 5.5} cooldowns["s"] = 5.3 cooldowns["d"] = 4.4 cooldowns["f"] = 8.8 cooldowns["g"] = 17 cooldowns["h"] = 41 cooldowns["s+a"] = 10.2 cooldowns["s+s"] = 7.8 cooldowns["s+d"] = 17.6 cooldowns["s+f"] = 30 cooldowns["s+g"] = False cooldowns["s+h"] = False cooldowns["f1"] = 85 cooldowns["f2"] = 300 cooldowns["f3"] = False cooldowns["f4"] = False # Need to adjust based on level and if focused or not return cooldowns def grab_preferred_combo(self): # For a given set of conditions this will choose # the preferred attack combination returnlist = [["x", 0.07]] returnlist.append(["point", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["point", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["x", 0.07]) returnlist.append(["point", 0.07]) returnlist.append(["c", 0.25]) return returnlist def grab_zoneprep(self): # This will pass class WeaponBagUnfocused(): # The preferred layout of skills for this class is as follows: # s = spiked mat # d = charge shot # f = lock on # g = shockmine # h = sentry laser def __init__(self, level=1) -> None: self.level = level def grab_base_cooldowns(self): cooldowns = {"a": False} cooldowns["s"] = 5.3 cooldowns["d"] = 4.4 cooldowns["f"] = 8.8 cooldowns["g"] = 17 cooldowns["h"] = 41 cooldowns["s+a"] = False cooldowns["s+s"] = False cooldowns["s+d"] = False cooldowns["s+f"] = False cooldowns["s+g"] = False cooldowns["s+h"] = False cooldowns["f1"] = False cooldowns["f2"] = False cooldowns["f3"] = False cooldowns["f4"] = False # Need to adjust based on level and if focused or not return cooldowns def grab_preferred_combo(self): # For a given set of conditions this will choose # the preferred attack combination returnlist = [] returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["point", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["x", 0.2]) returnlist.append(["point", 0.2]) return returnlist def grab_zoneprep(self): # This will pass class MSUnfocused(): # The preferred layout of skills for this class is as follows: # a = magic missile # s = # d = # f = windy blast # g = # h = sandstorm def __init__(self, level=1) -> None: self.level = level def grab_base_cooldowns(self): cooldowns = {"a": 5.3} cooldowns["s"] = False cooldowns["d"] = False if self.level >= 2: cooldowns["f"] = 5.5 else: cooldowns["h"] = False cooldowns["g"] = False if self.level >= 2: cooldowns["h"] = 8.9 else: cooldowns["h"] = False cooldowns["s+a"] = False cooldowns["s+s"] = False cooldowns["s+d"] = False cooldowns["s+f"] = False cooldowns["s+g"] = False cooldowns["s+h"] = False cooldowns["f1"] = False cooldowns["f2"] = False cooldowns["f3"] = False cooldowns["f4"] = False for key, cd in cooldowns: if not cd: cooldowns.pop(key) # Need to adjust based on level and if focused or not return cooldowns def grab_preferred_order(self): return ("a", "f", "h") def grab_preferred_combo(self): # For a given set of conditions this will choose # the preferred attack combination returnlist = [] returnlist.append(["a", 0.2]) returnlist.append(["point", 0.2]) returnlist.append(["f", 0.2]) returnlist.append(["h", 0.2]) # But need to make sure they have been unlocked first checklist = self.grab_base_cooldowns() truelist = [] for key, dur in returnlist: if key in checklist: truelist.append([key, dur]) elif key == "point": truelist.append([key, dur]) elif key == "x": truelist.append([key, dur]) elif key == "move": truelist.append([key, dur]) elif key == "move_player": truelist.append([key, dur]) return truelist def grab_zoneprep(self): # This will pass class MSFocused(): # The preferred layout of skills for this class is as follows: # a = magic missile # s = # d = soul eroder # f = windy blast # g = phantom missile # h = sandstorm # s+a = pillar of light # s+s = blinding beam def __init__(self, level=1) -> None: self.level = level def grab_base_cooldowns(self): cooldowns = {"a": 4.4} cooldowns["s"] = False cooldowns["d"] = 2.1 cooldowns["f"] = 5.5 cooldowns["g"] = 4.4 cooldowns["h"] = 8.9 cooldowns["s+a"] = 32 if self.level >= 30: cooldowns["s+s"] = 41 else: cooldowns["s+s"] = False cooldowns["s+d"] = False cooldowns["s+f"] = False cooldowns["s+g"] = False cooldowns["s+h"] = False cooldowns["f1"] = False cooldowns["f2"] = False cooldowns["f3"] = False cooldowns["f4"] = False # Need to adjust based on level and if focused or not return cooldowns def grab_preferred_order(self): return ("a", "g", "h", "f", "s+s", "d") def grab_preferred_combo(self): # For a given set of conditions this will choose # the preferred attack combination returnlist = [] returnlist.append(["a", 0.2]) returnlist.append(["g", 0.2]) returnlist.append(["h", 0.2]) returnlist.append(["point", 0.2]) returnlist.append(["f", 0.2]) return returnlist def grab_zoneprep(self): # This will pass

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0.806282

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false

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null

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41f2bce3d2d12317f4c7b1b1a63c2ea18b5bd46a

27,474

py

Python

envgen/envgen/interface.py

jonebeabout/envgen

6793f8779092d7ab9c514096adb33cd4f8746bb7

[ "MIT" ]

null

envgen/envgen/interface.py

jonebeabout/envgen

6793f8779092d7ab9c514096adb33cd4f8746bb7

[ "MIT" ]

null

envgen/envgen/interface.py

jonebeabout/envgen

6793f8779092d7ab9c514096adb33cd4f8746bb7

[ "MIT" ]

null

import argparse import colorama from getpass import getpass from envgen import EnvironmentGenerator import os import re import urllib2 e = EnvironmentGenerator() project_dir = '' def valid_choice(choice): return isinstance(choice, (int, long)) def valid_name(name): if '.' in name: return False if '/' in name: return False if '\\' in name: return False if ':' in name: return False if ' ' in name: return False return True def valid_box(box): m = re.compile('^([a-zA-Z0-9]|_|-)+/([a-zA-Z0-9]|_|-)+$') if m.match(box): return True else: return False def valid_mac(mac): m = re.compile('^[a-fA-F0-9][a-fA-F0-9]:[a-fA-F0-9][a-fA-F0-9]:[a-fA-F0-9][a-fA-F0-9]:[a-fA-F0-9][a-fA-F0-9]:[a-fA-F0-9][a-fA-F0-9]:[a-fA-F0-9][a-fA-F0-9]$') if m.match(mac): return True else: return False def valid_path(path): m = re.compile('^[a-zA-Z]:/') if m.match(path) and ('\\' not in path): return True else: return False def valid_version(version): m = re.compile('^([0-9]+\\.)*[0-9]+$') if m.match(version): return True else: return False def valid_vol(vol): m = re.compile('^(.*:)?(.*:).*$') if m.match(vol): return True else: return False def main_menu(): menu = 'Please choose an option: \n' menu += '1 - Select project to work on\n' menu += '2 - Show host information\n' menu += '3 - Quit\n' print menu choice = input('What would you like to do? [1-3]:') while (not valid_choice(choice)) and (choice not in range(1,4)): print colorama.Fore.RED + "That's not one of the choices!" print menu choice = input('What would you like to do? [1-3]:') return choice def project_menu(): projects = os.listdir(project_dir) menu = 'Please choose a project: \n' for i in range(len(projects)): menu += str(i+1) + ' - ' + projects[i] + '\n' menu += str(len(projects)+1) + ' - Create new project\n' menu += str(len(projects)+2) + ' - Cancel\n' print menu choice = input('Which project would you like to work on? [1-' + str(len(projects)+2) + ']:') while (not valid_choice(choice)) or (choice not in range(1,(len(projects)+3))): print colorama.Fore.RED + "That's not one of the choices!" print menu choice = input('Which project would you like to work on? [1-' + str(len(projects)+2) + ']:') if choice == (len(projects)+2): return 0 if choice == (len(projects)+1): new_project = raw_input('What would you like to name your project? [String with no spaces]:') while not valid_name(new_project): print colorama.Fore.RED + "Must not contain spaces, periods, slashes, or colons" new_project = raw_input('What would you like to name your project? [String with no spaces]:') e.loadEnv(choice,project_dir+choice+'/') print colorama.Fore.GREEN + 'Project Created!\n' return 1 else: e.loadEnv(projects[choice-1],project_dir+projects[choice-1]+'/') print colorama.Fore.GREEN + 'Project Loaded!\n' return 2 def env_menu(): menu = 'Please choose an option:\n' menu += '1 - List Entities\n' menu += '2 - Build new Entity\n' menu += '3 - Edit Entities\n' menu += '4 - View current config\n' menu += '5 - Check resources\n' menu += '6 - Build Environment\n' menu += '7 - Start Environment\n' menu += '8 - Cancel\n' print menu choice = input('What would you like to do? [1-8]:') while (not valid_choice(choice)) or (choice not in range(1,9)): print colorama.Fore.RED + "That's not one of the choices!" print menu choice = input('What would you like to do? [1-8]:') if choice == 1: print "Environment Entitites:" for ent in e.workingEnv.entities: print ent.toString() return 1 if choice == 2: return 2 if choice == 3: return 3 if choice == 4: print "Environment Config:" print e.workingEnv.toString() return 4 if choice == 5: print "Checking available resources..." check = e.checkResources() if check[0] > 0: print colorama.Fore.RED + check[1] else: print colorama.Fore.GREEN + check[1] return 5 if choice == 6: print "Building..." e.buildConfig() return 6 if choice == 7: print "Starting Environment..." e.startEnv() return 0 else: return 0 def new_entity_menu(): mem = None cpu = None mac = None users = None software = None vols = None ports = None dockerfile = None name = raw_input('What would you like to name your entity?') while not valid_name(name): print colorama.Fore.RED + "Must not contain spaces, periods, slashes, or colons" name = raw_input('What would you like to name your entity?') os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other') while (not valid_choice(os_choice)) or (os_choice not in range(1,4)): print colorama.Fore.RED + "That's not one of the choices!" os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other\n') if os_choice == 1: os = 'win' if os_choice == 2: os = 'linux' else: os = 'other' provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') while (not valid_choice(provider_choice)) or (provider_choice not in range(1,4)): print colorama.Fore.RED + "That's not one of the choices!" provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') if provider_choice == 1: provider = 'hyperv' else: provider = 'docker' box = raw_input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use?\nInput "None" if dockerfile will be used ') while (not valid_box(box)): if box == 'None': box = None break print colorama.Fore.RED + "Must be a box or image from Vagrant Cloud or Docker Hub" box = raw_input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use? ') if provider == 'hyperv': mem = input('What are the memory requirements? [integer in MB]:\nEnter 0 for box defaults ') while (not valid_choice(mem)): if mem == 0: mem = None break print colorama.Fore.RED + "Must be an integer" mem = input('What are the memory requirements? [integer in MB]:\nEnter "None" for box defaults ') cpu = input('How many CPU cores? [integer]:\nEnter 0 for box defaults ') while (not valid_choice(cpu)): if cpu == 0: cpu = None break print colorama.Fore.RED + "Must be an integer" cpu = input('How many CPU cores? [integer]:\nEnter "None" for box defaults ') mac = raw_input('What MAC address should be used? [Format - AA:AA:AA:AA:AA:AA]:\nEnter "None" for box defaults ') while (not valid_mac(mac)): if mac == 'None': mac = None break print colorama.Fore.RED + "Must be in the form AA:AA:AA:AA:AA:AA" mac = raw_input('What MAC address should be used? [Format - AA:AA:AA:AA:AA:AA]:\nEnter "None" for box defaults ') user_choice = raw_input('Would you like to add custom users? [y|n]: ') while (user_choice != 'y') and (user_choice != 'n'): print colorama.Fore.RED + "Must be either 'y' or 'n'" user_choice = raw_input('Would you like to add custom users? [y|n]: ') if user_choice == 'y': users = user_menu() software_choice = raw_input('Would you like to add custom software? [y|n]: ') while (user_choice != 'y') and (user_choice != 'n'): print colorama.Fore.RED + "Must be either 'y' or 'n'" software_choice = raw_input('Would you like to add custom software? [y|n]: ') if software_choice == 'y': software = software_menu() else: volumes_choice = raw_input('Would you like to add shared volumes? [y|n]: ') while (volumes_choice != 'y') and (volumes_choice != 'n'): print colorama.Fore.RED + "Must be either 'y' or 'n'" volumes_choice = raw_input('Would you like to add shared volumes? [y|n]: ') if volumes_choice == 'y': volumes = volumes_menu() ports_choice = raw_input('Would you like to expose ports of your container? [y|n]: ') while (ports_choice != 'y') and (ports_choice != 'n'): print colorama.Fore.RED + "Must be either 'y' or 'n'" ports_choice = raw_input('Would you like to expose ports of your container? [y|n]: ') if ports_choice == 'y': ports = ports_menu() if box == 'None': dockerfile_location = raw_input('Where is the dockerfile for ' + name + ' located? [Example: C:/envgen/dockerfile]: ') while (not valid_path(dockerfile_location)): print colorama.Fore.RED + "Must be a valid path\nExample - C:/envgen/dockerfile" dockerfile_location = raw_input('Where is the dockerfile for ' + name + ' located? [Example: C:/envgen/dockerfile]: ') with open(dockerfile_location,'r') as file: dockerfile = file.read() e.buildEntity(name,box,os,provider,mem=mem, cpu=cpu, mac=mac, users=users, software=software, vols=vols, ports=ports, dockerfile=dockerfile) print colorama.Fore.GREEN + 'Entity Built!\n' def edit_entity_menu(): menu = 'Here are the entities to edit: \n' for i in range(len(e.workingEnv.entities)): menu += str(i+1) + ' - ' + e.workingEnv.entities[i].name + '\n' menu += str(len(e.workingEnv.entities)+1) + ' - Cancel\n' print menu pick = input('Which entity would you like to work on? [1-' + str(len(e.workingEnv.entities)+1) + ']:') while (not valid_choice(pick)) or (pick not in range(1,(len(e.workingEnv.entities)+2))): print colorama.Fore.RED + "That's not one of the choices!" print menu pick = input('Which entity would you like to work on? [1-' + str(len(e.workingEnv.entities)+1) + ']:') if pick == (len(e.workingEnv.entities)+1): return else: if e.workingEnv.entities[pick-1].provider == 'hyperv': menu = 'Here are your choices:\n' menu += '1 - Edit name\n' menu += '2 - Edit OS\n' menu += '3 - Edit provider\n' menu += '4 - Edit box name\n' menu += '5 - Edit memory\n' menu += '6 - Edit CPU cores\n' menu += '7 - Edit MAC address\n' menu += '8 - Add users\n' menu += '9 - Add software\n' menu += '10 - Delete Entity\n' menu += '11 - Cancel\n' print menu choice = input('What would you like to do? [1-11]: ') while (not valid_choice(choice)) or (choice not in range(1,12)): print colorama.Fore.RED + "That's not one of the choices!" print menu choice = input('What would you like to do? [1-11]: ') if choice == 11: return if choice == 1: name = raw_input('What would you like to name your entity? ') while not valid_name(name): print colorama.Fore.RED + "Must not contain spaces, periods, slashes, or colons" name = raw_input('What would you like to name your entity? ') e.workingEnv.entities[pick-1].name = name if choice == 2: os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other\n') while (not valid_choice(os_choice)) or (os_choice not in range(1,4)): print colorama.Fore.RED + "That's not one of the choices!" os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other\n') if os_choice == 1: os = 'win' if os_choice == 2: os = 'linux' else: os = 'other' e.workingEnv.entities[pick-1].os = os if choice == 3: provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') while (not valid_choice(provider_choice)) or (provider_choice not in range(1,3)): print colorama.Fore.RED + "That's not one of the choices!" provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') if provider_choice == 1: provider = 'hyperv' else: provider = 'docker' e.workingEnv.entities[pick-1].provider = provider if choice == 4: box = raw_input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use?\nInput "None" if dockerfile will be used \n') while (not valid_box(box)): if box == 'None': break print colorama.Fore.RED + "Must be a box or image from Vagrant Cloud or Docker Hub" box = raw_input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use? \n') e.workingEnv.entities[pick-1].box_name = box_name if choice == 5: mem = input('What are the memory requirements? [integer in MB]:\nEnter 0 for box defaults \n') while (not valid_choice(mem)): if mem == 0: mem = None break print colorama.Fore.RED + "Must be an integer" mem = input('What are the memory requirements? [integer in MB]:\nEnter 0 for box defaults \n') e.workingEnv.entities[pick-1].mem = mem if choice == 6: cpu = input('How many CPU cores? [integer]:\nEnter 0 for box defaults \n') while (not valid_choice(cpu)): if cpu == 0: cpu = None break print colorama.Fore.RED + "Must be an integer" cpu = input('How many CPU cores? [integer]:\nEnter 0 for box defaults \n') e.workingEnv.entities[pick-1].cpu = cpu if choice == 7: mac = raw_input('What MAC address should be used? [Format - AA:AA:AA:AA:AA:AA]:\nEnter "None" for box defaults \n') while (not valid_mac(mac)): if mac == 'None': mac = None break print colorama.Fore.RED + "Must be in the form AA:AA:AA:AA:AA:AA" mac = raw_input('What MAC address should be used? [Format - AA:AA:AA:AA:AA:AA]:\nEnter "None" for box defaults \n') e.workingEnv.entities[pick-1].mac = mac if choice == 8: users = user_menu(users=e.workingEnv.entities[pick-1].users) e.workingEnv.entities[pick-1].users = users if choice == 9: software = software_menu(software=e.workingEnv.entities[pick-1].software) e.workingEnv.entities[pick-1].software = software if choice == 10: e.removeEntity(e.workingEnv.entities[pick-1].name) else: menu = 'Here are your choices:\n' menu += '1 - Edit name\n' menu += '2 - Edit OS\n' menu += '3 - Edit provider\n' menu += '4 - Edit image name\n' menu += '5 - Edit volumes\n' menu += '6 - Edit ports\n' menu += '7 - Edit dockerfile\n' menu += '8 - Delete Entity\n' menu += '9 - Cancel\n' print menu choice = input('What would you like to do? [1-9]: ') while (not valid_choice(choice)) or (choice not in range(1,10)): print colorama.Fore.RED + "That's not one of the choices!" print menu choice = input('What would you like to do? [1-9]: ') if choice == 9: return if choice == 1: name = raw_input('What would you like to name your entity? ') while not valid_name(name): print colorama.Fore.RED + "Must not contain spaces, periods, slashes, or colons" name = raw_input('What would you like to name your entity? ') e.workingEnv.entities[pick-1].name = name if choice == 2: os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other\n') while (not valid_choice(os_choice)) or (os_choice not in range(1,4)): print colorama.Fore.RED + "That's not one of the choices!" os_choice = input('What type of OS is ' + name + '? [1-3]\n1 - Windows based\n2 - Unix Based\n3 - Other\n') if os_choice == 1: os = 'win' if os_choice == 2: os = 'linux' else: os = 'other' e.workingEnv.entities[pick-1].os = os if choice == 3: provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') while (not valid_choice(provider_choice)) or (provider_choice not in range(1,3)): print colorama.Fore.RED + "That's not one of the choices!" provider_choice = input('What provider will ' + name + ' use? [1-2]\n1 - Hyper-V\n2 - Docker\n') if provider_choice == 1: provider = 'hyperv' else: provider = 'docker' e.workingEnv.entities[pick-1].provider = provider if choice == 4: box = raw_input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use?\nInput "None" if dockerfile will be used \n') while (not valid_box(box)): if box == 'None': box = None break print colorama.Fore.RED + "Must be a box or image from Vagrant Cloud or Docker Hub" box = input('What is the base box (Vagrant Cloud) or image (Docker Hub) that ' + name + ' will use? \n') e.workingEnv.entities[pick-1].box_name = box_name if choice == 5: volumes = volumes_menu(vols=e.workingEnv.entities[pick-1].vols) e.workingEnv.entities[pick-1].vols = volumes if choice == 6: ports = ports_menu(ports=e.workingEnv.entities[pick-1].ports) e.workingEnv.entities[pick-1].ports = ports if choice == 7: dockerfile_location = raw_input('Where is the dockerfile for ' + name + ' located? [Example: C:/envgen/dockerfile]: ') while (not valid_path(dockerfile_location)): print colorama.Fore.RED + "Must be a valid path\nExample - C:/envgen/dockerfile" dockerfile_location = raw_input('Where is the dockerfile for ' + name + ' located? [Example: C:/envgen/dockerfile]: ') with open(dockerfile_location,'r') as file: dockerfile = file.read() e.workingEnv.entities[pick-1].box_name = 'None' e.workingEnv.entities[pick-1].dockerfile = dockerfile if choice == 8: e.removeEntity(e.workingEnv.entities[pick-1].name) print colorama.Fore.GREEN + 'Entity Updated!\n' def user_menu(users=None): if users is None: users = [] num_to_add = input('How many users do you want to add? [integer]: ') while (not valid_choice(num_to_add)): print colorama.Fore.RED + "Must be an integer" num_to_add = input('How many users do you want to add? [integer]: ') for i in range(num_to_add): print "User #" +str(i+1) user = raw_input('Username? [String]: ') while (not valid_name(user)): print colorama.Fore.RED + "Must not contain spaces, periods, slashes, or colons" user = raw_input('Username? [String]: ') pw = getpass('Password? [String]: ') users.append((user,pw)) return users def software_menu(software=None): if software is None: software = [] num_to_add = input('How many puppet modules (Puppet Forge) do you want to add? [integer]: ') while (not valid_choice(num_to_add)): print colorama.Fore.RED + "Must be an integer" num_to_add = input('How many puppet modules do you want to add? [integer]: ') for i in range(num_to_add): print "Module #" +str(i+1) mod = raw_input('Module? [From Puppet Forge]: ') while (not valid_box(mod)): print colorama.Fore.RED + "Must be a module from Puppet Forge" mod = raw_input('Module? [From Puppet Forge]: ') version = raw_input('What version do you want to use? [Enter "None" for latest]: ') while (not valid_version(version)): if version == 'None': version = None break print raw_colorama.Fore.RED + "Must be a valid version" version = raw_input('What version do you want to use? [Enter "None" for latest]: ') software.append((mod,version)) return software def volumes_menu(vols=None): if vols is None: vols = [] num_to_add = input('How many volumes do you want to add? [integer]: ') while (not valid_choice(num_to_add)): print colorama.Fore.RED + "Must be an integer" num_to_add = input('How many volumes do you want to add? [integer]: ') for i in range(num_to_add): print "Volume #" +str(i+1) vol = raw_input('Volume? [Docker format for volume declaration]: ') while (not valid_vol(vol)): print colorama.Fore.RED + "Must in valid Docker volume format" vol = raw_input('Volume? [Docker format for volume declaration]: ') vols.append(vol) return vols def ports_menu(ports=None): if ports is None: ports = [] num_to_add = input('How many ports do you want to add? [integer]: ') while (not valid_choice(num_to_add)): print colorama.Fore.RED + "Must be an integer" num_to_add = input('How many ports do you want to add? [integer]: ') for i in range(num_to_add): print "Port #" +str(i+1) port = raw_input('Port? [Docker format for exposing ports]: ') while (not valid_vol(port)): print colorama.Fore.RED + "Must in valid Docker expose port format" port = raw_input('Port? [Docker format for exposing ports]: ') ports.append(port) return ports def main(): parser = argparse.ArgumentParser(description='Runs the Text Interface for the Environment Generator') parser.add_argument('project_dir', metavar='Project_Directory', help='Define the project directory. End with forward slash(/).\nExample: C:/envgen/projects/') args = parser.parse_args() global project_dir project_dir = args.project_dir intro = urllib2.urlopen('https://raw.githubusercontent.com/jonebeabout/envgen/master/envgen/envgen/ascii_art.txt').read() intro += '\nWelcome to the Environment Generator!\n' intro += 'Use this tool to generate virtual networks that can be used for simulation and exploratory learning and fuel flipped learning in the classroom.' intro += '\n\n' print intro colorama.init(autoreset=True) no_exit = True in_project = False while(no_exit): if not in_project: result = main_menu() else: result = 1 if result == 1: result = project_menu() if result == 0: in_project = False continue else: result = env_menu() while result > 0: if result == 2: new_entity_menu() if result == 3: edit_entity_menu() result = env_menu() if result == 0: in_project = True continue if result == 2: e.host = e.updateHost() print e.host.toString() continue else: no_exit = False colorama.deinit() if __name__ == '__main__': parser = argparse.ArgumentParser(description='Runs the Text Interface for the Environment Generator') parser.add_argument('project_dir', metavar='Project_Directory', help='Define the project directory. End with forward slash(/).\nExample: C:/envgen/projects/') args = parser.parse_args() project_dir = args.project_dir intro = urllib2.urlopen('https://raw.githubusercontent.com/jonebeabout/envgen/master/envgen/envgen/ascii_art.txt').read() intro += '\nWelcome to the Environment Generator!\n' intro += 'Use this tool to generate virtual networks that can be used for simulation and exploratory learning and fuel flipped learning in the classroom.' intro += '\n\n' print intro colorama.init(autoreset=True) no_exit = True in_project = False while(no_exit): if not in_project: result = main_menu() else: result = 1 if result == 1: result = project_menu() if result == 0: in_project = False continue else: result = env_menu() while result > 0: if result == 2: new_entity_menu() if result == 3: edit_entity_menu() result = env_menu() if result == 0: in_project = True continue if result == 2: e.host = e.updateHost() print e.host.toString() continue else: no_exit = False colorama.deinit()

46.097315

166

0.541312

3,540

27,474

4.127119

0.078814

0.037782

0.052361

0.054757

0.800411

0.774196

0.765777

0.728953

0.715127

0.696099

0

0.016123

0.343052

27,474

595

167

46.17479

0.79334

0

0.661348

0

0.026596

0.305494

0.013771

0

null

0.003546

0.012411

null

0.129433

0

null

0

1

0

null

0

1

0

7

512332e4d402e001fd27d40e6013387c860599e7

7,011

py

Python

sdk/python/pulumi_azure/notificationhub/outputs.py

suresh198526/pulumi-azure

bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/notificationhub/outputs.py

suresh198526/pulumi-azure

bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_azure/notificationhub/outputs.py

suresh198526/pulumi-azure

bf27206a38d7a5c58b3c2c57ec8769fe3d0fc5d7

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union from .. import _utilities, _tables __all__ = [ 'HubApnsCredential', 'HubGcmCredential', 'GetHubApnsCredentialResult', 'GetHubGcmCredentialResult', 'GetNamespaceSkuResult', ] @pulumi.output_type class HubApnsCredential(dict): def __init__(__self__, *, application_mode: str, bundle_id: str, key_id: str, team_id: str, token: str): """ :param str application_mode: The Application Mode which defines which server the APNS Messages should be sent to. Possible values are `Production` and `Sandbox`. :param str bundle_id: The Bundle ID of the iOS/macOS application to send push notifications for, such as `com.org.example`. :param str key_id: The Apple Push Notifications Service (APNS) Key. :param str team_id: The ID of the team the Token. :param str token: The Push Token associated with the Apple Developer Account. This is the contents of the `key` downloaded from [the Apple Developer Portal](https://developer.apple.com/account/ios/authkey/) between the `-----BEGIN PRIVATE KEY-----` and `-----END PRIVATE KEY-----` blocks. """ pulumi.set(__self__, "application_mode", application_mode) pulumi.set(__self__, "bundle_id", bundle_id) pulumi.set(__self__, "key_id", key_id) pulumi.set(__self__, "team_id", team_id) pulumi.set(__self__, "token", token) @property @pulumi.getter(name="applicationMode") def application_mode(self) -> str: """ The Application Mode which defines which server the APNS Messages should be sent to. Possible values are `Production` and `Sandbox`. """ return pulumi.get(self, "application_mode") @property @pulumi.getter(name="bundleId") def bundle_id(self) -> str: """ The Bundle ID of the iOS/macOS application to send push notifications for, such as `com.org.example`. """ return pulumi.get(self, "bundle_id") @property @pulumi.getter(name="keyId") def key_id(self) -> str: """ The Apple Push Notifications Service (APNS) Key. """ return pulumi.get(self, "key_id") @property @pulumi.getter(name="teamId") def team_id(self) -> str: """ The ID of the team the Token. """ return pulumi.get(self, "team_id") @property @pulumi.getter def token(self) -> str: """ The Push Token associated with the Apple Developer Account. This is the contents of the `key` downloaded from [the Apple Developer Portal](https://developer.apple.com/account/ios/authkey/) between the `-----BEGIN PRIVATE KEY-----` and `-----END PRIVATE KEY-----` blocks. """ return pulumi.get(self, "token") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class HubGcmCredential(dict): def __init__(__self__, *, api_key: str): """ :param str api_key: The API Key associated with the Google Cloud Messaging service. """ pulumi.set(__self__, "api_key", api_key) @property @pulumi.getter(name="apiKey") def api_key(self) -> str: """ The API Key associated with the Google Cloud Messaging service. """ return pulumi.get(self, "api_key") def _translate_property(self, prop): return _tables.CAMEL_TO_SNAKE_CASE_TABLE.get(prop) or prop @pulumi.output_type class GetHubApnsCredentialResult(dict): def __init__(__self__, *, application_mode: str, bundle_id: str, key_id: str, team_id: str, token: str): """ :param str application_mode: The Application Mode which defines which server the APNS Messages should be sent to. Possible values are `Production` and `Sandbox`. :param str bundle_id: The Bundle ID of the iOS/macOS application to send push notifications for, such as `com.org.example`. :param str key_id: The Apple Push Notifications Service (APNS) Key. :param str team_id: The ID of the team the Token. :param str token: The Push Token associated with the Apple Developer Account. """ pulumi.set(__self__, "application_mode", application_mode) pulumi.set(__self__, "bundle_id", bundle_id) pulumi.set(__self__, "key_id", key_id) pulumi.set(__self__, "team_id", team_id) pulumi.set(__self__, "token", token) @property @pulumi.getter(name="applicationMode") def application_mode(self) -> str: """ The Application Mode which defines which server the APNS Messages should be sent to. Possible values are `Production` and `Sandbox`. """ return pulumi.get(self, "application_mode") @property @pulumi.getter(name="bundleId") def bundle_id(self) -> str: """ The Bundle ID of the iOS/macOS application to send push notifications for, such as `com.org.example`. """ return pulumi.get(self, "bundle_id") @property @pulumi.getter(name="keyId") def key_id(self) -> str: """ The Apple Push Notifications Service (APNS) Key. """ return pulumi.get(self, "key_id") @property @pulumi.getter(name="teamId") def team_id(self) -> str: """ The ID of the team the Token. """ return pulumi.get(self, "team_id") @property @pulumi.getter def token(self) -> str: """ The Push Token associated with the Apple Developer Account. """ return pulumi.get(self, "token") @pulumi.output_type class GetHubGcmCredentialResult(dict): def __init__(__self__, *, api_key: str): """ :param str api_key: The API Key associated with the Google Cloud Messaging service. """ pulumi.set(__self__, "api_key", api_key) @property @pulumi.getter(name="apiKey") def api_key(self) -> str: """ The API Key associated with the Google Cloud Messaging service. """ return pulumi.get(self, "api_key") @pulumi.output_type class GetNamespaceSkuResult(dict): def __init__(__self__, *, name: str): """ :param str name: Specifies the Name of the Notification Hub Namespace. """ pulumi.set(__self__, "name", name) @property @pulumi.getter def name(self) -> str: """ Specifies the Name of the Notification Hub Namespace. """ return pulumi.get(self, "name")

34.536946

296

0.625446

858

7,011

4.904429

0.151515

0.057034

0.040162

0.058698

0.84981

0.838403

0.817015

0

0.000195

0.266724

7,011

202

297

34.707921

0.818323

0.389816

0

0.807339

1

0

0.103557

0.018972

0

1

0.183486

false

0

0.045872

0.018349

0.412844

0

null

0

1

0

1

0

null

0

8

5138f1246fa983a80c3065d1318b810a1a2df11e

128

py

Python

tasks/finger_tapping_task/__init__.py

eduongAZ/tomcat-baseline-tasks

a913962d1bb19531e734bfe780b2a8b400224741

[ "MIT" ]

1

2022-01-23T19:29:57.000Z

tasks/finger_tapping_task/__init__.py

eduongAZ/tomcat-baseline-tasks

a913962d1bb19531e734bfe780b2a8b400224741

[ "MIT" ]

34

2022-01-18T18:26:15.000Z

2022-03-31T19:21:28.000Z

tasks/finger_tapping_task/__init__.py

eduongAZ/tomcat-baseline-tasks

a913962d1bb19531e734bfe780b2a8b400224741

[ "MIT" ]

2

2022-01-27T05:31:33.000Z

2022-03-29T20:57:23.000Z

from .client_finger_tapping_task import ClientFingerTappingTask from .server_finger_tapping_task import ServerFingerTappingTask

42.666667

63

0.921875

14

128

8

0.642857

0.232143

0.303571

0.410714

0

0.0625

128

2

64

0.933333

0

1

0

true

0

1

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

7

51503e2fbc51d9b265856137b1fbdd34f9234f45

80

py

Python

test/test_cobsr.py

VENULLLC/cobs-python

68cebe6b49dfa196773c8ae7c9fd6b3c9a52b11e

[ "MIT" ]

24

2017-05-11T01:04:56.000Z

2022-03-14T04:56:11.000Z

test/test_cobsr.py

VENULLLC/cobs-python

68cebe6b49dfa196773c8ae7c9fd6b3c9a52b11e

[ "MIT" ]

2

2021-05-06T12:15:23.000Z

2022-03-31T04:50:02.000Z

test/test_cobsr.py

VENULLLC/cobs-python

68cebe6b49dfa196773c8ae7c9fd6b3c9a52b11e

[ "MIT" ]

5

2017-11-19T10:07:17.000Z

2021-05-06T11:26:19.000Z

import unittest import cobs.cobsr.test unittest.main(module=cobs.cobsr.test)

11.428571

37

0.8

12

80

5.333333

0.583333

0.28125

0.40625

0

0.1

80

6

38

13.333333

0.888889

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

515d63f3e054ffb723b130e336365be2bffbdd9f

92

py

Python

parameters_443.py

xiejiafang/phone_report

ab86c66fcc1189fb2c78b7afad5d3a4a9c715e80

[ "BSD-3-Clause" ]

2

2018-04-27T08:44:38.000Z

2021-11-24T05:58:42.000Z

parameters_443.py

xiejiafang/phone_report

ab86c66fcc1189fb2c78b7afad5d3a4a9c715e80

[ "BSD-3-Clause" ]

null

parameters_443.py

xiejiafang/phone_report

ab86c66fcc1189fb2c78b7afad5d3a4a9c715e80

[ "BSD-3-Clause" ]

2

2018-06-28T03:14:39.000Z

2019-05-06T16:26:24.000Z

password="pbkdf2(1000,20,sha512)$8182d40ddc4657ab$6748658355487f2b7f2c834c3707fd369a2bc49a"

46

91

0.891304

7

92

11.714286

1

0

0.538462

0.01087

92

1

92

0.362637

0

0.869565

0

1

0

false

1

0

1

0

1

null

0

1

0

1

0

1

0

1

null

0

1

0

8

85066262b1bada31d5d7425b20c8041c433057cc

9,476

py

Python

Aula17/Codlabs/app.py

icarogoggin/BlueEdtech_Modulo2

ca3552624e51d15181927dc882c30572093a1b7d

[ "MIT" ]

null

Aula17/Codlabs/app.py

icarogoggin/BlueEdtech_Modulo2

ca3552624e51d15181927dc882c30572093a1b7d

[ "MIT" ]

null

Aula17/Codlabs/app.py

icarogoggin/BlueEdtech_Modulo2

ca3552624e51d15181927dc882c30572093a1b7d

[ "MIT" ]

null

from flask import Flask, render_template app = Flask(__name__) @app.route("/") def index(): return render_template("index.html") registros = [ { "id": 1, "nome": "Eleven", "imagem_url":"https://upload.wikimedia.org/wikipedia/pt/5/52/Eleven_%28Stranger_Things%29.jpg" }, { "id": 2, "nome": "Billy Hargrove", "imagem_url":"data:image/jpeg;base64,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" }, { "id": 3, "nome": "Mike", "imagem_url":"https://i.pinimg.com/originals/da/de/e8/dadee85daff5a14e062433b2ba4212bd.png" }, ] @app.route("/read") def read_all(): return render_template("read_all.html", registros=registros) @app.route("/read/<id_registro>") def read_id(): return "Em construção - Visualizar registro de ID " @app.route("/create") def create(): return "Em construção - Ainda será feito o CREATE!" if (__name__ == "__main__"): app.run(debug=True)

225.619048

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0.020895

9,476

42

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225.619048

0.821837

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0.060606

0.943442

0.903978

0

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false

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0.121212

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5185557dbd6d1aba5650b5d12c1ae0dff326ca15

31,225

py

Python

shutterstock_api/api/editorial_api.py

Lumen5/shutterstock-api

d26db2c9cd6688cf828ad15478bf1b4701150a3f

[ "Adobe-Glyph" ]

1

2021-02-23T16:15:16.000Z

shutterstock_api/api/editorial_api.py

Lumen5/shutterstock-api

d26db2c9cd6688cf828ad15478bf1b4701150a3f

[ "Adobe-Glyph" ]

17

2019-07-13T01:23:08.000Z

2022-03-21T07:17:35.000Z

shutterstock_api/api/editorial_api.py

Lumen5/shutterstock-api

d26db2c9cd6688cf828ad15478bf1b4701150a3f

[ "Adobe-Glyph" ]

1

2021-03-07T19:16:27.000Z

# coding: utf-8 """ Shutterstock API Reference The Shutterstock API provides access to Shutterstock's library of media, as well as information about customers' accounts and the contributors that provide the media. # noqa: E501 OpenAPI spec version: 1.0.11 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from shutterstock_api.api_client import ApiClient class EditorialApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_editorial_image(self, id, country, **kwargs): # noqa: E501 """Get editorial content details # noqa: E501 This endpoint shows information about an editorial image, including a URL to a preview image and the sizes that it is available in. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_image(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial ID (required) :param str country: Returns only if the content is available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialContent If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_editorial_image_with_http_info(id, country, **kwargs) # noqa: E501 else: (data) = self.get_editorial_image_with_http_info(id, country, **kwargs) # noqa: E501 return data def get_editorial_image_with_http_info(self, id, country, **kwargs): # noqa: E501 """Get editorial content details # noqa: E501 This endpoint shows information about an editorial image, including a URL to a preview image and the sizes that it is available in. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_image_with_http_info(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial ID (required) :param str country: Returns only if the content is available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialContent If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'country'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_editorial_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_editorial_image`") # noqa: E501 # verify the required parameter 'country' is set if ('country' not in params or params['country'] is None): raise ValueError("Missing the required parameter `country` when calling `get_editorial_image`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] if 'country' in params: query_params.append(('country', params['country'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['basic', 'customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EditorialContent', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_editorial_livefeed(self, id, country, **kwargs): # noqa: E501 """Get editorial livefeed # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial livefeed ID; must be an URI encoded string (required) :param str country: Returns only if the livefeed is available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialLivefeed If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_editorial_livefeed_with_http_info(id, country, **kwargs) # noqa: E501 else: (data) = self.get_editorial_livefeed_with_http_info(id, country, **kwargs) # noqa: E501 return data def get_editorial_livefeed_with_http_info(self, id, country, **kwargs): # noqa: E501 """Get editorial livefeed # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed_with_http_info(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial livefeed ID; must be an URI encoded string (required) :param str country: Returns only if the livefeed is available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialLivefeed If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'country'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_editorial_livefeed" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_editorial_livefeed`") # noqa: E501 # verify the required parameter 'country' is set if ('country' not in params or params['country'] is None): raise ValueError("Missing the required parameter `country` when calling `get_editorial_livefeed`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] if 'country' in params: query_params.append(('country', params['country'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['basic', 'customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/livefeeds/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EditorialLivefeed', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_editorial_livefeed_items(self, id, country, **kwargs): # noqa: E501 """Get editorial livefeed items # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed_items(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial livefeed ID; must be an URI encoded string (required) :param str country: Returns only if the livefeed items are available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialContentDataList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_editorial_livefeed_items_with_http_info(id, country, **kwargs) # noqa: E501 else: (data) = self.get_editorial_livefeed_items_with_http_info(id, country, **kwargs) # noqa: E501 return data def get_editorial_livefeed_items_with_http_info(self, id, country, **kwargs): # noqa: E501 """Get editorial livefeed items # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed_items_with_http_info(id, country, async_req=True) >>> result = thread.get() :param async_req bool :param str id: Editorial livefeed ID; must be an URI encoded string (required) :param str country: Returns only if the livefeed items are available for distribution in a certain country; specify with 3-letter country code (required) :return: EditorialContentDataList If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'country'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_editorial_livefeed_items" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_editorial_livefeed_items`") # noqa: E501 # verify the required parameter 'country' is set if ('country' not in params or params['country'] is None): raise ValueError("Missing the required parameter `country` when calling `get_editorial_livefeed_items`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] if 'country' in params: query_params.append(('country', params['country'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['basic', 'customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/livefeeds/{id}/items', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EditorialContentDataList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_editorial_livefeed_list(self, country, **kwargs): # noqa: E501 """Get editorial livefeed list # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed_list(country, async_req=True) >>> result = thread.get() :param async_req bool :param str country: Returns only livefeeds that are available for distribution in a certain country; specify with 3-letter country code (required) :param int page: Page number :param int per_page: Number of results per page, defaults to 20 :return: EditorialLivefeedList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_editorial_livefeed_list_with_http_info(country, **kwargs) # noqa: E501 else: (data) = self.get_editorial_livefeed_list_with_http_info(country, **kwargs) # noqa: E501 return data def get_editorial_livefeed_list_with_http_info(self, country, **kwargs): # noqa: E501 """Get editorial livefeed list # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_editorial_livefeed_list_with_http_info(country, async_req=True) >>> result = thread.get() :param async_req bool :param str country: Returns only livefeeds that are available for distribution in a certain country; specify with 3-letter country code (required) :param int page: Page number :param int per_page: Number of results per page, defaults to 20 :return: EditorialLivefeedList If the method is called asynchronously, returns the request thread. """ all_params = ['country', 'page', 'per_page'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_editorial_livefeed_list" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'country' is set if ('country' not in params or params['country'] is None): raise ValueError("Missing the required parameter `country` when calling `get_editorial_livefeed_list`") # noqa: E501 if 'page' in params and params['page'] < 1: # noqa: E501 raise ValueError("Invalid value for parameter `page` when calling `get_editorial_livefeed_list`, must be a value greater than or equal to `1`") # noqa: E501 if 'per_page' in params and params['per_page'] > 50: # noqa: E501 raise ValueError("Invalid value for parameter `per_page` when calling `get_editorial_livefeed_list`, must be a value less than or equal to `50`") # noqa: E501 if 'per_page' in params and params['per_page'] < 1: # noqa: E501 raise ValueError("Invalid value for parameter `per_page` when calling `get_editorial_livefeed_list`, must be a value greater than or equal to `1`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'country' in params: query_params.append(('country', params['country'])) # noqa: E501 if 'page' in params: query_params.append(('page', params['page'])) # noqa: E501 if 'per_page' in params: query_params.append(('per_page', params['per_page'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['basic', 'customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/livefeeds', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EditorialLivefeedList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def license_editorial_image(self, body, **kwargs): # noqa: E501 """License editorial content # noqa: E501 This endpoint gets licenses for one or more editorial images. You must specify the country and one or more editorial images to license. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.license_editorial_image(body, async_req=True) >>> result = thread.get() :param async_req bool :param LicenseEditorialContentRequest body: License editorial content (required) :return: LicenseEditorialContentResultDataList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.license_editorial_image_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.license_editorial_image_with_http_info(body, **kwargs) # noqa: E501 return data def license_editorial_image_with_http_info(self, body, **kwargs): # noqa: E501 """License editorial content # noqa: E501 This endpoint gets licenses for one or more editorial images. You must specify the country and one or more editorial images to license. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.license_editorial_image_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param LicenseEditorialContentRequest body: License editorial content (required) :return: LicenseEditorialContentResultDataList If the method is called asynchronously, returns the request thread. """ all_params = ['body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method license_editorial_image" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `license_editorial_image`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/licenses', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LicenseEditorialContentResultDataList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def search_editorial(self, country, **kwargs): # noqa: E501 """Search editorial content # noqa: E501 This endpoint searches for editorial images. If you specify more than one search parameter, the API uses an AND condition. Array parameters can be specified multiple times; in this case, the API uses an AND or an OR condition with those values, depending on the parameter. You can also filter search terms out in the `query` parameter by prefixing the term with NOT. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.search_editorial(country, async_req=True) >>> result = thread.get() :param async_req bool :param str country: Show only editorial content that is available for distribution in a certain country; specify with 3-letter country code (required) :param str query: One or more search terms separated by spaces :param str sort: Sort by :param str category: Show editorial content within a certain editorial category; specify by category name :param list[str] supplier_code: Show only editorial content from certain suppliers :param date date_start: Show only editorial content generated on or after a specific date, in the format of YYYY-MM-DD :param date date_end: Show only editorial content generated on or before a specific date, in the format of YYYY-MM-DD :param int per_page: Number of results per page, defaults to 20 :param str cursor: The cursor of the page with which to start fetching results; this cursor is returned from previous requests :return: EditorialSearchResults If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.search_editorial_with_http_info(country, **kwargs) # noqa: E501 else: (data) = self.search_editorial_with_http_info(country, **kwargs) # noqa: E501 return data def search_editorial_with_http_info(self, country, **kwargs): # noqa: E501 """Search editorial content # noqa: E501 This endpoint searches for editorial images. If you specify more than one search parameter, the API uses an AND condition. Array parameters can be specified multiple times; in this case, the API uses an AND or an OR condition with those values, depending on the parameter. You can also filter search terms out in the `query` parameter by prefixing the term with NOT. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.search_editorial_with_http_info(country, async_req=True) >>> result = thread.get() :param async_req bool :param str country: Show only editorial content that is available for distribution in a certain country; specify with 3-letter country code (required) :param str query: One or more search terms separated by spaces :param str sort: Sort by :param str category: Show editorial content within a certain editorial category; specify by category name :param list[str] supplier_code: Show only editorial content from certain suppliers :param date date_start: Show only editorial content generated on or after a specific date, in the format of YYYY-MM-DD :param date date_end: Show only editorial content generated on or before a specific date, in the format of YYYY-MM-DD :param int per_page: Number of results per page, defaults to 20 :param str cursor: The cursor of the page with which to start fetching results; this cursor is returned from previous requests :return: EditorialSearchResults If the method is called asynchronously, returns the request thread. """ all_params = ['country', 'query', 'sort', 'category', 'supplier_code', 'date_start', 'date_end', 'per_page', 'cursor'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method search_editorial" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'country' is set if ('country' not in params or params['country'] is None): raise ValueError("Missing the required parameter `country` when calling `search_editorial`") # noqa: E501 if 'per_page' in params and params['per_page'] > 50: # noqa: E501 raise ValueError("Invalid value for parameter `per_page` when calling `search_editorial`, must be a value less than or equal to `50`") # noqa: E501 if 'per_page' in params and params['per_page'] < 1: # noqa: E501 raise ValueError("Invalid value for parameter `per_page` when calling `search_editorial`, must be a value greater than or equal to `1`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'query' in params: query_params.append(('query', params['query'])) # noqa: E501 if 'sort' in params: query_params.append(('sort', params['sort'])) # noqa: E501 if 'category' in params: query_params.append(('category', params['category'])) # noqa: E501 if 'country' in params: query_params.append(('country', params['country'])) # noqa: E501 if 'supplier_code' in params: query_params.append(('supplier_code', params['supplier_code'])) # noqa: E501 collection_formats['supplier_code'] = 'multi' # noqa: E501 if 'date_start' in params: query_params.append(('date_start', params['date_start'])) # noqa: E501 if 'date_end' in params: query_params.append(('date_end', params['date_end'])) # noqa: E501 if 'per_page' in params: query_params.append(('per_page', params['per_page'])) # noqa: E501 if 'cursor' in params: query_params.append(('cursor', params['cursor'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['basic', 'customer_accessCode'] # noqa: E501 return self.api_client.call_api( '/v2/editorial/search', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='EditorialSearchResults', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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examples/libtest/imports/child.py

takipsizad/pyjs

54db0ba6747aca744f9f3c3e985a17e913dfb951

[ "ECL-2.0", "Apache-2.0" ]

739

2015-01-01T02:05:11.000Z

2022-03-30T15:26:16.000Z

examples/libtest/imports/child.py

takipsizad/pyjs

54db0ba6747aca744f9f3c3e985a17e913dfb951

[ "ECL-2.0", "Apache-2.0" ]

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2015-03-25T23:17:04.000Z

2021-08-19T08:25:22.000Z

examples/libtest/imports/child.py

takipsizad/pyjs

54db0ba6747aca744f9f3c3e985a17e913dfb951

[ "ECL-2.0", "Apache-2.0" ]

167

2015-01-01T22:27:47.000Z

2022-03-17T13:29:19.000Z

import imports.parent class Child(imports.parent.Parent): pass

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Python

mprs/src/parser_test.py

danielfireman-ifal/coletores

7bb3237ceb6376a536cde3435ded62ea6b9a4502

[ "MIT" ]

18

2019-10-30T01:18:40.000Z

2022-03-15T11:52:45.000Z

mprs/src/parser_test.py

danielfireman-ifal/coletores

7bb3237ceb6376a536cde3435ded62ea6b9a4502

[ "MIT" ]

174

2019-11-01T18:57:16.000Z

2021-09-18T02:35:27.000Z

mprs/src/parser_test.py

danielfireman-ifal/coletores

7bb3237ceb6376a536cde3435ded62ea6b9a4502

[ "MIT" ]

9

2020-01-16T16:33:46.000Z

2022-01-13T07:39:00.000Z

import parser import unittest class TestParser(unittest.TestCase): # Membros ativos sem folha complementar e de 13º def test_membros_ativos(self): self.maxDiff = None expected = { 'reg': '3418723', 'name': 'ADONIRAN LEMOS ALMEIDA FILHO', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA INICIAL', 'type': 'membro', 'workplace': 'PROMOTORIA DE JUSTIÇA DE PINHEIRO MACHADO', 'active': True, 'income': { 'total': 26472.47, 'wage': 25851.96, 'perks': { 'total': 620.51 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 8253.96, 'prev_contribution': 4008.95, 'ceil_retention': 0.0, 'income_tax': 4245.01 } } second_expected = { 'reg': '3427811', 'name': 'BRUNO HERINGER JUNIOR', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA FINAL', 'type': 'membro', 'workplace': 'SUBPROCURADORIA-GERAL DE JUSTIÇA PARA ASSUNTOS JURÍDICOS', 'active': True, 'income': { 'total': 39563.9, 'wage': 31916.0, 'perks': { 'total': 910.08 }, 'other': { 'total': 6737.82, 'trust_position': 3191.6, 'others_total': 3546.22, 'others': { 'Gratificação Natalina': 0.0, 'Férias (1/3 constitucional)': 3546.22, 'Abono de Permanência': 0.0 } } }, 'discounts': { 'total': 12632.88, 'prev_contribution': 5161.11, 'ceil_retention': 0.0, 'income_tax': 7471.77 } } files = ["./output_test/M-NORMAL-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(2, len(employees)) self.assertDictEqual(employees[0], expected) self.assertDictEqual(employees[1], second_expected) # Membros ativos com folha complementar def test_membros_ativos_complementar(self): self.maxDiff = None expected = { 'reg': '3418723', 'name': 'ADONIRAN LEMOS ALMEIDA FILHO', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA INICIAL', 'type': 'membro', 'workplace': 'PROMOTORIA DE JUSTIÇA DE PINHEIRO MACHADO', 'active': True, 'income': { 'total': 52324.43, 'wage': 25851.96, 'perks': { 'total': 26472.47 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 8253.96, 'prev_contribution': 4008.95, 'ceil_retention': 0.0, 'income_tax': 4245.01 } } second_expected = { 'reg': '3427811', 'name': 'BRUNO HERINGER JUNIOR', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA FINAL', 'type': 'membro', 'workplace': 'SUBPROCURADORIA-GERAL DE JUSTIÇA PARA ASSUNTOS JURÍDICOS', 'active': True, 'income': { 'total': 75167.97, 'wage': 31916.0, 'perks': { 'total': 36514.15 }, 'other': { 'total': 6737.82, 'trust_position': 3191.6, 'others_total': 3546.22, 'others': { 'Gratificação Natalina': 0.0, 'Férias (1/3 constitucional)': 3546.22, 'Abono de Permanência': 0.0 } } }, 'discounts': { 'total': 12632.88, 'prev_contribution': 5161.11, 'ceil_retention': 0.0, 'income_tax': 7471.77 } } files = ["./output_test/M-NORMAL-12-2020.json", "./output_test/M-COMPLEMENTAR-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(2, len(employees)) self.assertDictEqual(employees[0], expected) self.assertDictEqual(employees[1], second_expected) # Membros ativos com folha complementar e 13º def test_membros_ativos_decimo(self): self.maxDiff = None expected = { 'reg': '3418723', 'name': 'ADONIRAN LEMOS ALMEIDA FILHO', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA INICIAL', 'type': 'membro', 'workplace': 'PROMOTORIA DE JUSTIÇA DE PINHEIRO MACHADO', 'active': True, 'income': { 'total': 78176.39, 'wage': 51703.92, 'perks': { 'total': 26472.47 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 17348.24, 'prev_contribution': 8017.9, 'ceil_retention': 0.0, 'income_tax': 9330.34 } } second_expected = { 'reg': '3427811', 'name': 'BRUNO HERINGER JUNIOR', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA FINAL', 'type': 'membro', 'workplace': 'SUBPROCURADORIA-GERAL DE JUSTIÇA PARA ASSUNTOS JURÍDICOS', 'active': True, 'income': { 'total': 110275.57, 'wage': 63832.0, 'perks': { 'total': 36514.15 }, 'other': { 'total': 9929.42, 'trust_position': 6383.2, 'others_total': 3546.22, 'others': { 'Gratificação Natalina': 0.0, 'Férias (1/3 constitucional)': 3546.22, 'Abono de Permanência': 0.0 } } }, 'discounts': { 'total': 25159.92, 'prev_contribution': 10322.23, 'ceil_retention': 0.0, 'income_tax': 14837.69 } } files = ["./output_test/M-NORMAL-12-2020.json", "./output_test/M-COMPLEMENTAR-12-2020.json", "./output_test/M-13-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(2, len(employees)) self.assertDictEqual(employees[0], expected) self.assertDictEqual(employees[1], second_expected) # Membros ativos com folha complementar, 13º e verbas indenizatórias def test_membros_ativos_verbas(self): self.maxDiff = None expected = { 'reg': '3418723', 'name': 'ADONIRAN LEMOS ALMEIDA FILHO', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA INICIAL', 'type': 'membro', 'workplace': 'PROMOTORIA DE JUSTIÇA DE PINHEIRO MACHADO', 'active': True, 'income': { 'total': 76165.68, 'wage': 51703.92, 'perks': { 'total': 26472.47, 'Subsistence': 0.0, 'Food': 620.51, 'Transportation': 0.0, 'PreSchool': 0.0, 'Conversões em Pecúnia': 25851.96 }, 'other': { 'total': -2010.71, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Gratificação Natalina': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Abono de Permanência': 0.0, 'Comissão Especial': 0.0, 'Gratificação Setor': 0.0, 'Adicional Insal / Periculosidade': 0.0, 'Difícil Provimento': 0.0, 'Honorário Concurso': 0.0, 'Substituição': 0.0, 'Diretor Promotoria': 0.0, 'Hora Extra': 0.0, 'Acúmulo funções': -2010.71 } } }, 'discounts': { 'total': 17348.24, 'prev_contribution': 8017.9, 'ceil_retention': 0.0, 'income_tax': 9330.34 } } second_expected = { 'reg': '3427811', 'name': 'BRUNO HERINGER JUNIOR', 'role': 'PROMOTOR DE JUSTICA DE ENTRÂNCIA FINAL', 'type': 'membro', 'workplace': 'SUBPROCURADORIA-GERAL DE JUSTIÇA PARA ASSUNTOS JURÍDICOS', 'active': True, 'income': { 'total': 110275.57, 'wage': 63832.0, 'perks': { 'total': 36514.15, 'Subsistence': 0.0, 'Food': 910.08, 'Transportation': 0.0, 'PreSchool': 0.0, 'Conversões em Pecúnia': 35604.07 }, 'other': { 'total': 9929.42, 'trust_position': 6383.2, 'others_total': 3546.22, 'others': { 'Gratificação Natalina': 0.0, 'Férias (1/3 constitucional)': 3546.22, 'Abono de Permanência': 0.0, 'Comissão Especial': 0.0, 'Gratificação Setor': 0.0, 'Adicional Insal / Periculosidade': 0.0, 'Difícil Provimento': 0.0, 'Honorário Concurso': 0.0, 'Substituição': 0.0, 'Diretor Promotoria': 0.0, 'Hora Extra': 0.0, 'Acúmulo funções': 0.0 } } }, 'discounts': { 'total': 25159.92, 'prev_contribution': 10322.23, 'ceil_retention': 0.0, 'income_tax': 14837.69 } } files = ["./output_test/M-NORMAL-12-2020.json", "./output_test/M-COMPLEMENTAR-12-2020.json", "./output_test/M-13-12-2020.json", "./output_test/verbas_indenizatorias_temporarias-12-2020.html"] employees = parser.parse(files) # Verificações self.assertEqual(2, len(employees)) self.assertDictEqual(employees[0], expected) self.assertDictEqual(employees[1], second_expected) # Membros inativos sem folha complementar e de 13º def test_membros_inativos(self): self.maxDiff = None expected = { 'reg': '3425568', 'name': 'ANTÔNIO CEZAR LIMA DA FONSECA', 'role': 'PROCURADOR DE JUSTICA', 'type': 'membro', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 40359.38, 'wage': 35462.22, 'perks': { 'total': 4897.16 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 12532.64, 'prev_contribution': 5756.53, 'ceil_retention': 0.0, 'income_tax': 6776.11 } } files = ["./output_test/MI-NORMAL-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Membros inativos com folha complementar def test_membros_inativos_complementar(self): self.maxDiff = None expected = { 'reg': '3425568', 'name': 'ANTÔNIO CEZAR LIMA DA FONSECA', 'role': 'PROCURADOR DE JUSTICA', 'type': 'membro', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 75821.6, 'wage': 35462.22, 'perks': { 'total': 40359.38 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 12532.64, 'prev_contribution': 5756.53, 'ceil_retention': 0.0, 'income_tax': 6776.11 } } files = ["./output_test/MI-NORMAL-12-2020.json", "./output_test/MI-COMPLEMENTAR-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Membros inativos com folha complementar e 13º def test_membros_inativos_decimo(self): self.maxDiff = None expected = { 'reg': '3425568', 'name': 'ANTÔNIO CEZAR LIMA DA FONSECA', 'role': 'PROCURADOR DE JUSTICA', 'type': 'membro', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 113341.31, 'wage': 70924.43, 'perks': { 'total': 40359.38 }, 'other': { 'total': 2057.5, 'trust_position': 0.0, 'others_total': 2057.5, 'others': { 'Abono de Permanência': 2057.5, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 24525.37, 'prev_contribution': 10768.37, 'ceil_retention': 0.0, 'income_tax': 13757.0 } } files = ["./output_test/MI-NORMAL-12-2020.json", "./output_test/MI-COMPLEMENTAR-12-2020.json", "./output_test/MI-13-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Membros inativos com folha complementar, 13º e verbas indenizatórias # (Membros inativos não estão presentes na folha de verbas indenizatórias) def test_membros_inativos_verbas(self): self.maxDiff = None expected = { 'reg': '3425568', 'name': 'ANTÔNIO CEZAR LIMA DA FONSECA', 'role': 'PROCURADOR DE JUSTICA', 'type': 'membro', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 113341.31, 'wage': 70924.43, 'perks': { 'total': 40359.38 }, 'other': { 'total': 2057.5, 'trust_position': 0.0, 'others_total': 2057.5, 'others': { 'Abono de Permanência': 2057.5, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 24525.37, 'prev_contribution': 10768.37, 'ceil_retention': 0.0, 'income_tax': 13757.0 } } files = ["./output_test/MI-NORMAL-12-2020.json", "./output_test/MI-COMPLEMENTAR-12-2020.json", "./output_test/MI-13-12-2020.json", "./output_test/verbas_indenizatorias_temporarias-12-2020.html"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores ativos sem folha complementar e de 13º def test_servidores_ativos(self): self.maxDiff = None expected = { 'reg': '3407373', 'name': 'SHANNA CANTO BERNARDI DE FARIAS', 'role': 'ASSESSOR BACHAREL EM CIENCIAS JURIDICAS E SOCIAIS - R', 'type': 'servidor', 'workplace': 'PROMOTORIA DE JUSTIÇA ESPECIALIZADA DE NOVO HAMBURGO', 'active': True, 'income': { 'total': 21501.55, 'wage': 12878.23, 'perks': { 'total': 8623.32 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 3545.42, 'prev_contribution': 1611.58, 'ceil_retention': 0.0, 'income_tax': 1933.84 } } files = ("./output_test/S-NORMAL-12-2020.json",) employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores ativos com folha complementar def test_servidores_ativos_complementar(self): self.maxDiff = None expected = { 'reg': '3407373', 'name': 'SHANNA CANTO BERNARDI DE FARIAS', 'role': 'ASSESSOR BACHAREL EM CIENCIAS JURIDICAS E SOCIAIS - R', 'type': 'servidor', 'workplace': 'PROMOTORIA DE JUSTIÇA ESPECIALIZADA DE NOVO HAMBURGO', 'active': True, 'income': { 'total': 25526.0, 'wage': 12878.23, 'perks': { 'total': 12647.77 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 3545.42, 'prev_contribution': 1611.58, 'ceil_retention': 0.0, 'income_tax': 1933.84 } } files = ("./output_test/S-NORMAL-12-2020.json", "./output_test/S-COMPLEMENTAR-12-2020.json") employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores ativos com folha complementar e 13º def test_servidores_ativos_decimo(self): self.maxDiff = None expected = { 'reg': '3407373', 'name': 'SHANNA CANTO BERNARDI DE FARIAS', 'role': 'ASSESSOR BACHAREL EM CIENCIAS JURIDICAS E SOCIAIS - R', 'type': 'servidor', 'workplace': 'PROMOTORIA DE JUSTIÇA ESPECIALIZADA DE NOVO HAMBURGO', 'active': True, 'income': { 'total': 37599.35, 'wage': 24951.58, 'perks': { 'total': 12647.77 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 7164.62, 'prev_contribution': 3223.16, 'ceil_retention': 0.0, 'income_tax': 3941.46 } } files = ("./output_test/S-NORMAL-12-2020.json", "./output_test/S-COMPLEMENTAR-12-2020.json", "./output_test/S-13-12-2020.json") employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores ativos com folha complementar, 13º e verbas indenizatórias def test_servidores_ativos_verbas(self): self.maxDiff = None expected = { 'reg': '3407373', 'name': 'SHANNA CANTO BERNARDI DE FARIAS', 'role': 'ASSESSOR BACHAREL EM CIENCIAS JURIDICAS E SOCIAIS - R', 'type': 'servidor', 'workplace': 'PROMOTORIA DE JUSTIÇA ESPECIALIZADA DE NOVO HAMBURGO', 'active': True, 'income': { 'total': 37599.35, 'wage': 24951.58, 'perks': { 'total': 12647.77, 'Subsistence': 0.0, 'Food': 574.42, 'Transportation': 0.0, 'PreSchool': 0.0, 'Conversões em Pecúnia': 12073.35 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0, 'Comissão Especial': 0.0, 'Gratificação Setor': 0.0, 'Adicional Insal / Periculosidade': 0.0, 'Difícil Provimento': 0.0, 'Honorário Concurso': 0.0, 'Substituição': 0.0, 'Diretor Promotoria': 0.0, 'Hora Extra': 0.0, 'Acúmulo funções': 0.0 } } }, 'discounts': { 'total': 7164.62, 'prev_contribution': 3223.16, 'ceil_retention': 0.0, 'income_tax': 3941.46 } } files = ["./output_test/S-NORMAL-12-2020.json", "./output_test/S-COMPLEMENTAR-12-2020.json", "./output_test/S-13-12-2020.json", "./output_test/verbas_indenizatorias_temporarias-12-2020.html"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores inativos sem folha complementar e de 13º def test_servidores_inativos(self): self.maxDiff = None expected = { 'reg': '3426602', 'name': 'SANDRA MARIA PEIXOTO MEIRELLES', 'role': 'SECRETARIO DE DILIGENCIAS - O', 'type': 'servidor', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 27797.61, 'wage': 21607.32, 'perks': { 'total': 6190.29 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 8007.44, 'prev_contribution': 3793.92, 'ceil_retention': 0.0, 'income_tax': 4213.52 } } files = ["./output_test/SI-NORMAL-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores inativos com folha complementar def test_servidores_inativos_complementar(self): self.maxDiff = None expected = { 'reg': '3426602', 'name': 'SANDRA MARIA PEIXOTO MEIRELLES', 'role': 'SECRETARIO DE DILIGENCIAS - O', 'type': 'servidor', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 51379.65, 'wage': 21607.32, 'perks': { 'total': 29772.33 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 8007.44, 'prev_contribution': 3793.92, 'ceil_retention': 0.0, 'income_tax': 4213.52 } } files = ["./output_test/SI-NORMAL-12-2020.json", "./output_test/SI-COMPLEMENTAR-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores inativos com folha complementar e 13º def test_servidores_inativos_decimo(self): self.maxDiff = None expected = { 'reg': '3426602', 'name': 'SANDRA MARIA PEIXOTO MEIRELLES', 'role': 'SECRETARIO DE DILIGENCIAS - O', 'type': 'servidor', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 72986.97, 'wage': 43214.64, 'perks': { 'total': 29772.33 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 15345.06, 'prev_contribution': 6918.02, 'ceil_retention': 0.0, 'income_tax': 8427.04 } } files = ["./output_test/SI-NORMAL-12-2020.json", "./output_test/SI-COMPLEMENTAR-12-2020.json", "./output_test/SI-13-12-2020.json"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) # Servidores inativos com folha complementar, 13º e verbas indenizatórias def test_servidores_inativos_verbas(self): self.maxDiff = None expected = { 'reg': '3426602', 'name': 'SANDRA MARIA PEIXOTO MEIRELLES', 'role': 'SECRETARIO DE DILIGENCIAS - O', 'type': 'servidor', 'workplace': 'INATIVOS', 'active': False, 'income': { 'total': 72986.97, 'wage': 43214.64, 'perks': { 'total': 29772.33 }, 'other': { 'total': 0.0, 'trust_position': 0.0, 'others_total': 0.0, 'others': { 'Abono de Permanência': 0.0, 'Férias (1/3 constitucional)': 0.0, 'Gratificação Natalina': 0.0 } } }, 'discounts': { 'total': 15345.06, 'prev_contribution': 6918.02, 'ceil_retention': 0.0, 'income_tax': 8427.04 } } files = ["./output_test/SI-NORMAL-12-2020.json", "./output_test/SI-COMPLEMENTAR-12-2020.json", "./output_test/SI-13-12-2020.json", "./output_test/verbas_indenizatorias_temporarias-12-2020.html"] employees = parser.parse(files) # Verificações self.assertEqual(1, len(employees)) self.assertDictEqual(employees[0], expected) if __name__ == '__main__': unittest.main()

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a408fdfe02f29cd4d6ad8bf6f109d68ca8745858

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Python

bert/tests/unit/tensorflow/checkpoint_load_test.py

cirrascale/bert-ipu-quickstart

07be5de83a365c97494bc43cec06652d22d399ea

[ "MIT" ]

2

2020-04-07T23:46:17.000Z

2021-12-05T10:29:34.000Z

bert/tests/unit/tensorflow/checkpoint_load_test.py

cirrascale/bert-ipu-quickstart

07be5de83a365c97494bc43cec06652d22d399ea

[ "MIT" ]

5

2020-01-28T23:13:33.000Z

2022-02-10T00:34:57.000Z

bert/tests/unit/tensorflow/checkpoint_load_test.py

cirrascale/bert-ipu-quickstart

07be5de83a365c97494bc43cec06652d22d399ea

[ "MIT" ]

1

2020-04-07T23:46:29.000Z

# Copyright 2019 Graphcore Ltd. import pytest import os import ctypes import numpy as np import popart from tests.torch_bert import ( BertConfig as TorchBertConfig, BertForMaskedLM as TorchModel, load_tf_weights_in_bert, ) import math from bert_model import BertConfig, Bert from bert_tf_loader import load_model_from_tf, load_bert_config_tf from tests.utils import run_fwd_model, run_py, check_tensors @pytest.mark.requires_frozen @pytest.mark.requires_config @pytest.mark.requires_chkpt def test_load_from_frozen(config_path, chkpt_path, frozen_path, custom_ops): config = load_bert_config_tf(config_path) builder = popart.Builder( opsets={"ai.onnx": 9, "ai.onnx.ml": 1, "ai.graphcore": 1} ) # Load Torch version torch_model = TorchModel( TorchBertConfig( config.vocab_length, config.hidden_size, num_hidden_layers=config.num_layers, num_attention_heads=config.attention_heads, intermediate_size=config.ff_size, hidden_act="relu", max_position_embeddings=config.max_positional_length, layer_norm_eps=config.layer_norm_eps, mask_tokens=config.mask_tokens, ) ) torch_model.eval() torch_model = load_tf_weights_in_bert(torch_model, config, chkpt_path) # Load Popart model sequence_info = popart.TensorInfo( "UINT32", [config.batch_size * config.sequence_length]) indices = builder.addInputTensor(sequence_info) positions = builder.addInputTensor(sequence_info) popart_model, proto, output = load_from_tf( frozen_path, False, config, indices, positions, builder=builder ) # Run the models popart_inputs = { indices: np.random.randint( 0, config.vocab_length, (config.batch_size * config.sequence_length) ).astype(np.uint32), positions: np.random.randint( 0, config.sequence_length, (config.batch_size * config.sequence_length), ).astype(np.uint32), } torch_inputs = { "input_ids": popart_inputs[indices].reshape( config.batch_size, config.sequence_length ), "position_ids": popart_inputs[positions].reshape( config.batch_size, config.sequence_length ), } torch_outputs = run_fwd_model(torch_inputs, torch_model) popart_outputs, post_proto = run_py( proto, popart_inputs, output, ipus=math.ceil(config.num_layers / config.layers_per_ipu) + 1, ) check_tensors(torch_outputs, popart_outputs) print("Test succeeded") @pytest.mark.requires_config @pytest.mark.requires_chkpt def test_load_from_chkpt(config_path, chkpt_path, custom_ops): """ Compare the model loaded into our popart model against the modified PyTorch model: - Load tf weights into BERT using torch impl -> run fwd model - Load tf weights into BERT using popart impl -> run fwd model - Compare output tensors """ config = load_bert_config_tf(config_path) builder = popart.Builder( opsets={"ai.onnx": 9, "ai.onnx.ml": 1, "ai.graphcore": 1} ) # Load Torch version torch_model = TorchModel( TorchBertConfig( config.vocab_length, config.hidden_size, num_hidden_layers=config.num_layers, num_attention_heads=config.attention_heads, intermediate_size=config.ff_size, hidden_act="relu", max_position_embeddings=config.max_positional_length, layer_norm_eps=config.layer_norm_eps, mask_tokens=config.mask_tokens, ) ) torch_model.eval() torch_model = load_tf_weights_in_bert(torch_model, config, chkpt_path) # Load Popart model sequence_info = popart.TensorInfo( "UINT32", [config.batch_size * config.sequence_length]) indices = builder.addInputTensor(sequence_info) positions = builder.addInputTensor(sequence_info) popart_model, proto, output = load_from_tf( chkpt_path, True, config, indices, positions, builder=builder ) # Run the models popart_inputs = { indices: np.random.randint( 0, config.vocab_length, (config.batch_size * config.sequence_length) ).astype(np.uint32), positions: np.random.randint( 0, config.sequence_length, (config.batch_size * config.sequence_length), ).astype(np.uint32), } torch_inputs = { "input_ids": popart_inputs[indices].reshape( config.batch_size, config.sequence_length ), "position_ids": popart_inputs[positions].reshape( config.batch_size, config.sequence_length ), } torch_outputs = run_fwd_model(torch_inputs, torch_model) popart_outputs, post_proto = run_py( proto, popart_inputs, output, ipus=math.ceil(config.num_layers / config.layers_per_ipu) + 1, ) check_tensors(torch_outputs, popart_outputs) print("Test succeeded")

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Python

projects/src/main/python/CodeJam/Y13R5P1/Vytis/generated_py_6d95c84ce93449e09158ce3589ea6763.py

DynamicCodeSearch/CodeSeer

ee985ece7691691585952eb88565f0e08bdc9113

[ "MIT" ]

5

2020-04-05T18:04:13.000Z

2021-04-13T20:34:19.000Z

projects/src/main/python/CodeJam/Y13R5P1/Vytis/generated_py_6d95c84ce93449e09158ce3589ea6763.py

DynamicCodeSearch/CodeSeer

ee985ece7691691585952eb88565f0e08bdc9113

[ "MIT" ]

1

2020-04-29T21:42:26.000Z

2020-05-01T23:45:45.000Z

projects/src/main/python/CodeJam/Y13R5P1/Vytis/generated_py_6d95c84ce93449e09158ce3589ea6763.py

DynamicCodeSearch/CodeSeer

ee985ece7691691585952eb88565f0e08bdc9113

[ "MIT" ]

3

2020-01-27T16:02:14.000Z

2021-02-08T13:25:15.000Z

import sys sys.path.append('/home/george2/Raise/ProgramRepair/CodeSeer/projects/src/main/python') from CodeJam.Y13R5P1.Vytis.A import * def func_43934b24cc7948e4b2ff4a53fd6b87f4(): m = [0] * 37 best = 0.0 return best def func_0bf9d56ca78f41ef9be3fac34a49f13b(): m = [0] * 37 best = 0.0 return m def func_2d1d9c9c7410411889e327ce4ce1c706(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) return n def func_588654aef6a6410e94f262750734b11e(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) return x def func_ff1a6fb646dc4146adab5b901af5abdf(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) return b def func_0fed36a723dc4665b1092fac84d62fa0(b, lines, lineno, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return r def func_24080ef5285846789b80f63052d1c370(b, lines, lineno, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return x def func_b5c5379c96a84499a7fe6c06e1e81fc4(b, n, x): r = solve(b, x[:n]) lineno += 2 return lineno def func_1af7ebefe4494283b45d81aca4c61434(b, n, x): r = solve(b, x[:n]) lineno += 2 return r def func_43ff5ec3ce5e4dd9b00910d46249d5ff(r, i): lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return msg def func_3ce8ac0d668c457bbf1370765e4d5190(r, i): lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return lineno def func_1f0e0d0641d14f10a60cc5e15813efaa(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return x def func_74ea4be41e114abeb5386efd0084b9ff(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return n def func_2e0c7f52579d4a6f9b2ef292a3c7882f(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return r def func_c083c85660c04fc49622c0b56d7ca09b(lines, lineno): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) return b def func_8f48c2ad78e14933897e7861474b4089(b, lines, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return r def func_f5455ed39fff4d6b8d7ab0f57d41382f(b, lines, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return lineno def func_00fe097c7bc643dab61ddb97741a6106(b, lines, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return x def func_339cf4b2e6d74b0dbda777fe9a5a9bb4(b, i, n, x): r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return msg def func_df28acc2f2834228b5dcbd12550e6ec2(b, i, n, x): r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return lineno def func_98d522c950774610bdf5d7bedd121baf(b, i, n, x): r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return r def func_cd99ead5a76c45dd99ebcb862e779e2a(lines): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return n def func_d0209c7855964ef0b8c539a10f05ffb1(lines): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return x def func_dbfd8310ec1a451ab4bdfd1492a2b1ad(lines): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return lineno def func_211433e0eb364bf6af956ff8edbd5ae5(lines): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return r def func_f2fb199f8787457baf1b3d3505e96234(lines): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 return b def func_95d772bf04344f61a9674331a9c5942b(b, lines, i, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return msg def func_a2b32cd8da44408a9b4d9e92de8d6c17(b, lines, i, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return lineno def func_975054264e5e43e18b752a1a1a236d8f(b, lines, i, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return r def func_5920530629024d4f8e94724b5f4e6c00(b, lines, i, n): x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return x def func_d4b882b30d5d4741b6c748fa94f3d754(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return n def func_28e7f22202344e89b1f6988be06f875b(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return r def func_d43731f4efec4533b6bea060051f159f(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return lineno def func_5f0ec4a2f226414293e2f00086787703(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return x def func_439ecb91373a4b828c40fc68e1e99f8d(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return msg def func_ef15dd37c65a4254996472d5e16e71c4(lines, i): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) return b def func_6171bd0dce1e4080b3e9c820f6883466(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] return lines def func_e5adf451338f4970916b0755e97b1165(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] return infile def func_3b4d10ad5124442bbfe3955f6787c9ab(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] return s def func_82a614ca7ec6444bab566e31593b1841(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return s def func_891ad90c6af74d0e890e310c82a8939a(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return lines def func_ddb66daeba6046f9b8ddbb114833116e(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return c def func_4c7bccf15bdf46a1a67535c4b423cf91(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return c def func_6d954ada386b450294d3f5ba8b1fdc31(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return f def func_57d03b8ff55d41b38fe70101debad13b(): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return f def func_5cf1006ad04a4217afdd690cd2065fbb(): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lineno def func_ed028aed4eb44e208e0630239fc3707b(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lineno def func_9d4e728eff24479e83a614c67aa353bc(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return r def func_15b32acea07d45809c4750d04689cd71(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return x def func_87f4c7110c4a4d44a36f6fb5d995b504(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return b def func_f89aa35fdbcd4d0b94ccb41294fd0765(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return i def func_dc4e95e0158f4ed183a92a12f1264aad(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return msg def func_1be21e6ede24456cac2301840428c9f6(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return n def func_d021e6f5fde04c53b7f6ae8475c5e7e2(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_9ad15b91507046d7b3d29d3bcbec3352(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_c989be4c38ca42d19076d13c1d05e616(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_85fe64ae2a2e4ee584b2a9f87f23c461(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_236ff00f54584e0dbc73f93aed7a6f52(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_6ad17a9ebf2a4e4dbbee7320de9e483a(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_e9be3e6b4abd48d9990e65c9c54283c6(c, lines, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_ccb8f4765e8b456cb3ac9239126f0bb2(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return c def func_81bbc0b3815e47679fb14cbbb504411c(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return infile def func_60db2b0b1e784ccba7310d1f29475ba6(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return lines def func_861e2c1eef6e454d97fdec2e74f57e74(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) return s def func_29a54ad6eb324795a186fcf5bc93dacb(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return lines def func_87e0a5feadb34db7a7e0ff938d511f89(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return f def func_53a0aef29d6d47e88fff0e89e6ab614d(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return c def func_bc89bf3996294c1d9ef382131dbaa911(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return s def func_96b76bb18bea409383ffe5e71001107d(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return c def func_4d7914a2bd7b4b2ca25a21e4a60a4d93(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lineno def func_86abf30ced0c44f381d10405d06e0746(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return f def func_89e8479237394880b0ee2a29bc3c6454(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return x def func_6d0f84ddf99b4bceb0c875f354bdce57(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return i def func_e31d3db40fc74803825323a3f42595f1(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lineno def func_36989cd4ad6f45cd91cb4532396e2781(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return msg def func_b89e62573942462a927b2930cc41d59c(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return r def func_c844161897364d33a2c9d7237b6107c0(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return n def func_3b03e6ed16c748759786e22202e2c879(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return b def func_8156979645d442158fd2e758c6bd5772(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return f def func_9b0bf7fa8ebd435bb276312fab50b26b(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_c4e56265044f4fa480f9b22bb9f2f463(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_6b40224ebf9042beadca0e1f409c735d(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_dc00c05f829c463db618d263915581b5(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_8e96ccde8ad34aefbab97ac403283428(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_48e733ea071b4d96bdb3e33f79d65290(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_f042dba20d9b4a34b2e78c933aa3f31c(c, lines, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_ee8070353d29460cab1995ec1b976287(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_502101d5cdba452f87ccf2f4a8f7394f(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_1df5f71f6c044e7bb15aa46fd75c3252(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_2ef8cf97c0f14a26b8b906de437220e4(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_8f4d78341ab04c69b662ef690ace316c(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_fa20cddc385a4892836cc0bf2ad4718c(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_bcf504260e99443a8aed43171f9a6eb7(c, lines, infile, f): for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_36b48abaf4914255817cd92dcf4210e7(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return s def func_be89bcc16f684c6e8c83a441f7a708c9(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return c def func_01e4daeaa4064edca0e98aa9449189bb(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return f def func_7b34326cfd2a40bc9169b10447a8ab9b(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return lines def func_eb598c8109984c648d28b0f62dc379d9(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') return infile def func_383cace9c59140b3b79caaf56c61f648(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lineno def func_722689295ca0463eb435ca60fb815884(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return s def func_00d362e5e15d4722b0264177f8b76010(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lines def func_260a1a728efb4ff8b54efdf62082c654(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return f def func_6d83d6e32c624fdaa31f1f6c348164d1(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return c def func_31d19549518748d8b0e909e588c3cd6a(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return r def func_7e3abb6b0e064cd290b1415eb09bfb1e(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return f def func_8deb49b0ea3945c88516be4c99490daa(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return b def func_f95c35e8dd8348ff932c09b24329c3e2(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return msg def func_6080eacd0915403199d2d5628b009bbb(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lineno def func_a40bfd9302e8407aa598b6bf6fd07b63(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return x def func_833b94e9c6ad49c6acd91c8fe9a555df(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return c def func_5536e3f28aa24297943fef779e6a3dcd(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return i def func_fd6cfdadc7444009a95c49e3d5108c3a(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return n def func_fabcfe15e8ae4b5385b7c4c1df702104(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_1200fb3891c7434fa3f232287f08b4f7(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_583403d3122344dd9f444fd480abb3f6(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_6a7864a6fdbb4c4fb27a372404f02e66(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return f def func_357d140668544adab332eee1985854d0(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_9b6a7e4381bb49149ee4def9e52792e2(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_0fbda86800244a588e5b057aae929e96(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_c30494a7db984a3c8eec419d5d15d268(c, lines): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_19e0cf9a04f94f939347f21b105c6dfd(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_190590ef782c418fae16513207edc341(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_3aee9c113dc842d8bd2ce878dade4410(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_47d82bf3414441a8ab3f56bf24c51c32(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_361ebe66c0a842198c4117832d6d3cae(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_b2f71ea730b04c8facf9c06205f29a59(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_5ad3b07a36384a4d8c3d2a90ece5551f(c, lines, infile, f): lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_83e922cf5e6c4dde9fcdac8290c1b2e9(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return infile def func_b93ca116c9254bae9489bb2f467a93ec(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return c def func_05cc1fbaf057437d8f84d0240dd32b8d(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return f def func_d992a1a3b97d4c04a2fb5ecf6bbbd781(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return s def func_1b05010368894fbc899fce25db489fdf(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lines def func_daea0e686b2a438aa5d69041d9c86cf7(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 return lineno def func_6cacb99baa7e48ff83d1077e70683e30(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return i def func_45a3b7dfca244409b1ff6a3b9156b393(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return n def func_4e76ac4bbede4f1cb96012b6c557e445(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return r def func_d88e98a215dd43d2b233bde39ea8630b(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return x def func_0d27a2d03eb5446b8793802cc216931b(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return c def func_d371af6ad9bc405b8717c5d10fc399fb(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lineno def func_da228275d19a4c619bbd29d68219fd06(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return s def func_9b79758e212b4969a93028a6961372bf(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return b def func_a7cbd1167eee44bd8f752c887ae1884d(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return f def func_62f2e54cbadf4857983882c25403189d(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lines def func_9bb6a7b7f1a54c96b25c7910bddfbc92(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return msg def func_af44d7895b8c4c839416286cb8bcd737(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return c def func_dfca5bd0f0554b2595483df31fb747c5(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_8dddd53b9bbb4d9d8d66ac4975952bbb(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_51fd2025eb4c46e6a63a15b6a32a65c2(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return f def func_e838f5dcac11425e8b73bc8f66fa3d77(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_d5664fe9bf3f40a8b8ba56831bd990b3(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_e86920794f7a472bb8c795a12bbd1e1e(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_834f83423bd9446dbc4ebcb1c05dde4b(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_d8ebb52e38ac4747bc06eb0266479c94(lines): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_f98a0d91d62849cfa97beea8e6fd0718(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_ef60dcf3f914452dbf62054935a6db2a(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_1cc7905b7b2740a1bdf512d6e8ee954d(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_707869425acb46b48d99989e23303117(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_2e8feca2650b439dac46b0d41537268d(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_599f1bd8f79c416dae72c361296b23c5(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return f def func_02d8fbf709034112ab01cee886eb99f4(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_d8ad45a57dba465e99c0916389241134(c, lines, infile): f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_b6a09ae1f33045488ca426ddb0eb9353(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return msg def func_37602b7a252447d49fa781e059a1e822(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return r def func_3faa31ec202f4557a46d382e70f6d743(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return f def func_cdbf48d9d6b64eb99447fe8868609af5(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return n def func_3592e75bdda74ac19675d5d1f863e499(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return s def func_b4b345277a80439da1fb89a394317c02(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return x def func_7f2ca49961fb406c88e79f76e4c7646b(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return i def func_440643013c824741895b7ef740950df5(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lines def func_136a074d14d5415b8f8ed286dfead4d5(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return c def func_e7505a162dc44334b0ef81ac547cda38(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return lineno def func_133377a200344828a0e17e3ac12ccf9c(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return infile def func_fb757d4e08fa4c29be44709ee1d0413f(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg return b def func_66bb3cd5bf7d4a81986d1db9c1597809(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return c def func_2c7ac7f0d64d42879af72015852e2c35(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_e7a399c4367b4fda9190d3777cdcb3f9(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_9be28c882d224997af9527444b84c2f4(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return f def func_2719078d7d5d4d9f959f594ee7ddf9d7(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return s def func_75476bd955bf4c91b8bf02af8c00ce9b(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_bfaa9dc7c1b044289e1cd91ad7285d7c(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_ba40fa5b4a0649b1a5bad0d6e3e0f6ac(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_19bb3dbdf965418c97d40b710690b834(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_0f85611e7ddc41cd9799a5fba133be61(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lines def func_c161118d774b48c0b5d622258903599d(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_94fd0e606969409abacc30bbb3a3d34f(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return c def func_1778424788634599af396d1d5501a7c7(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return f def func_2dfe8b6f1a9a4a34987b6224bcf04574(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_f39fd079d15743ee800930d2b365365e(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_b456fb48a1a64bafb6e1eaf1b178797d(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_750424cea3fb48c2bf2a8188203176cd(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_0a6eab03cb61471aba787d325bf4520f(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_52a540f058cc4aabbd2a6a6d75831b96(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_df0c7758da2743768034c47edbc3f1a6(lines, infile): c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_203adba9d8d74acd92ed242b000717d5(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return x def func_0c6f21f197724b0daca3f8ac97ad891c(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return b def func_7f0e9f2fd7154a22a1f219abbfb3cc86(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return i def func_5c51494d8a20475b95cf14467bdb4b32(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return msg def func_5e9428e5abe64d84a760adc008943dfc(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lineno def func_71c887c65fe24560a8081769daefbe5a(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return n def func_a984200eab4e4f5aafcfd9c362c79a1e(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return r def func_143096a3901b40f69f8ea61fb81a2579(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return f def func_02c05b7bff3c48e98b1ea8232e1a95f1(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return c def func_c2661055931c45c8a7708a2896b9f8c1(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return lines def func_0a03d484880044c889150cbb65e3dff6(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return s def func_7b4d9fa3472e448a9cbbe90562a4def3(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() return infile def func_919900ec6b9340ff89449a21f94c761a(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_794f2d940a6e46b88b7f61dd1cf41c4d(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_7f224b3796d44d5ea4943478f7c3a1b0(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lines def func_3fabd8b0b0e841caa5219c5f7fcabbf4(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_5cf25e714aec4014ad298fe3f57daac4(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return f def func_e5dee86745194dc383fbb1a9fda3e573(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_ac8707cd08ad42e3bd7f064e7c801578(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return c def func_a6d8f778bfc8464e905f0e2c981de920(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return s def func_0e2600c6804448f6a6d961403ef5a261(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_9793809ccf1949f18b1b82ee4a78f7f4(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_d3d351b858614119ae59b3608ca942ca(infile): lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_f53fe731f16a4777b3675e0febf66f12(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return i def func_e5a9f1fb1be34d279566370fc5d2d755(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lines def func_6c9cd67fbc7e4fc9937e0f32d5fab5d6(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return msg def func_d007697f971341f4bc82bba38d5d4631(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return x def func_f872d3afed2c473fb3e048237ff61a71(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return lineno def func_12453a65754e4678aaa493df8d3a20dd(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return b def func_b0a5a0f11631438a890617b80a88175c(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return n def func_78e025520f584950937cb41484313b4c(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return c def func_50b219e3c6664249b844d234777b3bca(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return f def func_16861d8d17dc4a55b2bb684bd8682371(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return r def func_3e36c6e0fee14a73931f9ea576958a91(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return s def func_ac9f7c80a71044579d9ee8937b44af38(): infile = open('codejam/test_files/Y13R5P1/A.in') lines = [s.strip() for s in infile.readlines()] c = int(lines[0]) f = open('codejam/test_files/Y13R5P1/A.out', 'w') lineno = 1 for i in range(1, c + 1): b, n = map(int, lines[lineno].split()) x = map(int, lines[lineno + 1].split()) r = solve(b, x[:n]) lineno += 2 msg = 'Case #{}: {:.9f}'.format(i, r) print msg print >> f, msg f.close() infile.close() return infile

27.716556

86

0.54093

11,861

83,704

3.781216

0.024113

0.086156

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0.134563

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1

0

1

0

null

0

1

0

8

cfdb5b40b968f305e24ea92c6918c930da4ea4a9

16,542

py

Python

tests/test_utilities/test_package_builder.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

null

tests/test_utilities/test_package_builder.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

1

2021-03-25T23:21:02.000Z

tests/test_utilities/test_package_builder.py

p-sherratt/shellfoundry

d1f35a31123b9e701c801345fb633b6fda5420b7

[ "Apache-2.0" ]

null

import zipfile from mock import patch, Mock from pyfakefs import fake_filesystem_unittest from tests.asserts import * from shellfoundry.utilities.package_builder import PackageBuilder import xml.etree.ElementTree as etree class TestPackageBuilder(fake_filesystem_unittest.TestCase): def setUp(self): self.setUpPyfakefs() def test_it_merges_datamodel_if_shell_config_exists(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shell_model.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') os.chdir('work') builder = PackageBuilder() with patch('shellfoundry.utilities.package_builder.ShellDataModelMerger') as MockClass: # Act instance = MockClass.return_value instance.merge_shell_model.return_value = 'Test' with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') self.assertTrue(instance.merge_shell_model.called, 'merge_shell_model should be called') # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') self._assert_utf_file_content('aws/amazon_web_services/package/DataModel/datamodel.xml', 'Test') def test_it_does_not_merge_datamodel_if_shell_config_does_not_exist(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') os.chdir('work') builder = PackageBuilder() with patch('shellfoundry.utilities.package_builder.ShellDataModelMerger') as MockClass: # Act instance = MockClass.return_value instance.merge_shell_model.return_value = 'Test' with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') instance.merge_shell_model.assert_not_called() # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') self._assert_utf_file_content('aws/amazon_web_services/package/DataModel/datamodel.xml', '') def test_it_copies_image_files_in_the_datamodel_dir(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/iamimage.png', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/iamimage.jpg', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/iamimage.gif', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/iamimage.jpeg', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/iamimage.png') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/iamimage.jpg') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/iamimage.gif') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/iamimage.jpeg') def test_it_ignores_other_nonimage_files_in_the_datamodel_dir(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/iamimage.blah', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert assertFileDoesNotExist(self, 'aws/amazon_web_services/package/DataModel/iamimage.blah') def test_build_package_package_created(self): # Arrange self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert assertFileExists(self, 'aws/amazon_web_services/dist/aws.zip') assertFileDoesNotExist(self, 'aws/amazon_web_services/package') TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/metadata.xml') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') assertFileExists(self, 'aws/amazon_web_services/package/Configuration/shellconfig.xml') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') def test_pack_succeeds_when_shellconfig_is_missing(self): # Arrange self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert assertFileExists(self, 'aws/amazon_web_services/dist/aws.zip') TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/metadata.xml') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') def test_pack_succeeds_when_categories_file_is_missing(self): # Arrange self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert assertFileExists(self, 'aws/amazon_web_services/dist/aws.zip') TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/metadata.xml') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') def test_pack_succeeds_when_categories_file_exists(self): # Arrange self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/categories/categories.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert assertFileExists(self, 'aws/amazon_web_services/dist/aws.zip') TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/metadata.xml') assertFileExists(self, 'aws/amazon_web_services/package/DataModel/datamodel.xml') assertFileExists(self, 'aws/amazon_web_services/package/Categories/categories.xml') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') def test_it_replaces_wildcard_according_to_versioning_policy(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/drivermetadata.xml', contents='<Driver Description="CloudShell shell" ' 'MainClass="driver.ImplementingDiscoveryDriver" ' 'Name="ImplementingDiscoveryDriver" Version="1.2.*">' '</Driver>') os.chdir('work') driver_version_strategy = Mock() driver_version_strategy.supports_version_pattern.return_value = True driver_version_strategy.get_version.return_value = '1.2.3.4' builder = PackageBuilder(driver_version_strategy) # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') TestPackageBuilder.unzip('aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip', 'aws/driver') assertFileExists(self, 'aws/driver/drivermetadata.xml') # packed file should have a dynamic version self._assert_driver_version_equals('aws/driver/drivermetadata.xml', '1.2.3.4') # original file should still have the original value self._assert_driver_version_equals('aws/amazon_web_services/src/drivermetadata.xml', '1.2.*') def test_it_uses_the_datetime_stamp_policy_for_wildcard_versioning(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/drivermetadata.xml', contents='<Driver Description="CloudShell shell" ' 'MainClass="driver.ImplementingDiscoveryDriver" ' 'Name="ImplementingDiscoveryDriver" Version="1.2.*">' '</Driver>') os.chdir('work') # Act with patch('shellfoundry.utilities.package_builder.DriverVersionTimestampBased') as version_mock: strategy_instance = Mock() version_mock.return_value = strategy_instance strategy_instance.get_version.return_value = '1.2.3000.4000' builder = PackageBuilder() with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') TestPackageBuilder.unzip('aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip', 'aws/driver') assertFileExists(self, 'aws/driver/drivermetadata.xml') # packed file should have a dynamic version self._assert_driver_version_equals('aws/driver/drivermetadata.xml', '1.2.3000.4000') # original file should still have the original value self._assert_driver_version_equals('aws/amazon_web_services/src/drivermetadata.xml', '1.2.*') def test_it_does_not_update_the_driver_version_when_not_needed(self): self.fs.CreateFile('work/aws/amazon_web_services/datamodel/metadata.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/datamodel.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/datamodel/shellconfig.xml', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/driver.py', contents='') self.fs.CreateFile('work/aws/amazon_web_services/src/drivermetadata.xml', contents='<Driver Description="CloudShell shell" ' 'MainClass="driver.ImplementingDiscoveryDriver" ' 'Name="ImplementingDiscoveryDriver" Version="1.2.3">' '</Driver>') os.chdir('work') builder = PackageBuilder() # Act with patch('click.echo'): builder.build_package('aws/amazon_web_services', 'aws', 'AwsDriver') # Assert TestPackageBuilder.unzip('aws/amazon_web_services/dist/aws.zip', 'aws/amazon_web_services/package') assertFileExists(self, 'aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip') TestPackageBuilder.unzip('aws/amazon_web_services/package/Resource Drivers - Python/AwsDriver.zip', 'aws/driver') assertFileExists(self, 'aws/driver/drivermetadata.xml') # packed file should not have a timestamped version self._assert_driver_version_equals('aws/driver/drivermetadata.xml', '1.2.3') # original file should still have the original value self._assert_driver_version_equals('aws/amazon_web_services/src/drivermetadata.xml', '1.2.3') @staticmethod def unzip(source_filename, dest_dir): if not os.path.exists(dest_dir): os.makedirs(dest_dir) with zipfile.ZipFile(source_filename) as zf: zf.extractall(dest_dir) @staticmethod def _parse_xml(xml_string): parser = etree.XMLParser(encoding='utf-8') return etree.fromstring(xml_string, parser) def _assert_utf_file_content(self, path, content): with open(path, 'r') as f: text = f.read() self.assertEqual(text.decode("utf-8-sig"), content, msg="File was different than expected content") @staticmethod def _get_driver_version_from_file(path): with open(path, 'r') as f: text = f.read() metadata_xml = TestPackageBuilder._parse_xml(text) version = metadata_xml.get("Version") return version def _assert_driver_version_equals(self, path, expected_version): version = self._get_driver_version_from_file(path) self.assertEquals(version, expected_version)

52.84984

107

0.694475

1,905

16,542

5.79895

0.091339

0.09532

0.127093

0.211822

0.849099

0.846927

0.833711

0.826921

0.822576

0.799946

0

0.003493

0.186495

16,542

312

108

53.019231

0.817418

0.026539

0

0.686364

0

0.416553

0.359054

0

0.213636

1

0.077273

false

0

0.027273

0

0.118182

0

null

0

1

0

null

0

7

cfea146e3bb4a68d1a3478ae67fbd2729f2525fa

1,833

py

Python

data/plugins/areas/wc guild dungeon/root.py

FavyTeam/Elderscape_server

38bf75396e4e13222be67d5f15eb0b9862dca6bb

[ "MIT" ]

3

2019-05-09T16:59:13.000Z

2019-05-09T18:29:57.000Z

data/plugins/areas/wc guild dungeon/root.py

FavyTeam/Elderscape_server

38bf75396e4e13222be67d5f15eb0b9862dca6bb

[ "MIT" ]

null

data/plugins/areas/wc guild dungeon/root.py

FavyTeam/Elderscape_server

38bf75396e4e13222be67d5f15eb0b9862dca6bb

[ "MIT" ]

7

2019-07-11T23:04:40.000Z

2021-08-02T14:27:13.000Z

#Plugin to handle Root shortcuts in the WC Guild dungeon #Written by Owain #21/10/17 from game.content.skilling.agility import AgilityShortcuts from core import ServerConstants def first_click_object_26721(player): if player.baseSkillLevel[ServerConstants.AGILITY] < 50: player.playerAssistant.sendMessage("You need 50 agility to use this shortcut.") return player.resetPlayerTurn(); if player.getX() == 1590: AgilityShortcuts.performAgilityShortcut(player, 839, False, -2, 0, 1588, 9899) if player.getX() == 1588: AgilityShortcuts.performAgilityShortcut(player, 839, False, 2, 0, 1590, 9899) if player.getY() == 9880: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, 2, 1551, 9882) if player.getY() == 9882: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, -2, 1551, 9880) return def first_click_object_26720(player): if player.baseSkillLevel[ServerConstants.AGILITY] < 50: player.playerAssistant.sendMessage("You need 50 agility to use this shortcut.") return player.resetPlayerTurn(); if player.getX() == 1590: AgilityShortcuts.performAgilityShortcut(player, 839, False, -2, 0, 1588, 9900) if player.getX() == 1588: AgilityShortcuts.performAgilityShortcut(player, 839, False, 2, 0, 1590, 9900) if player.getY() == 9870: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, 2, 1555, 9872) if player.getY() == 9872: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, -2, 1555, 9870) if player.getY() == 9880: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, 2, 1552, 9882) if player.getY() == 9882: AgilityShortcuts.performAgilityShortcut(player, 839, False, 0, -2, 1552, 9880) return

47

87

0.698854

211

1,833

6.042654

0.293839

0.075294

0.345098

0.368627

0.787451

0.683922

0

0.130728

0.190398

1,833

39

88

47

0.728437

0.043099

0

0.529412

0

0.046804

0

null

0

0.058824

null

0

null

0

1

0

1

0

1

0

null

0

1

0

7

cffdb9fae8d3c27942fc155df855d0bf18bc9c14

153

py

Python

octograb/preselection/__init__.py

payet-s/discover-github-data

7b672f5fd70d86dc63a1fe2930ef5c44c95d7fed

[ "MIT" ]

29

2015-10-18T19:43:47.000Z

2022-02-05T01:01:33.000Z

octograb/preselection/__init__.py

paollettsanchez/discover-github-data

7b672f5fd70d86dc63a1fe2930ef5c44c95d7fed

[ "MIT" ]

2

2017-01-26T19:30:11.000Z

2017-07-20T12:51:46.000Z

octograb/preselection/__init__.py

paollettsanchez/discover-github-data

7b672f5fd70d86dc63a1fe2930ef5c44c95d7fed

[ "MIT" ]

33

2015-10-12T06:37:16.000Z

2021-03-29T19:28:01.000Z

from octograb.preselection.convert_archives import * from octograb.preselection.merge_archives import * from octograb.preselection.export_inputs import *

51

52

0.869281

18

153

7.222222

0.5

0.276923

0.553846

0.4

0.584615

0

0.071895

153

3

53

51

0.915493

0

1

0

true

0

1

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1

0

null

1

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1

0

null

0

1

0

1

0

1

0

8

32241ac0b86368b57e56ee144db5e4904c880e04

30,588

py

Python

pybind/slxos/v16r_1_00b/mpls_config/router/mpls/mpls_cmds_holder/cspf_group/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/mpls_config/router/mpls/mpls_cmds_holder/cspf_group/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

null

pybind/slxos/v16r_1_00b/mpls_config/router/mpls/mpls_cmds_holder/cspf_group/__init__.py

shivharis/pybind

4e1c6d54b9fd722ccec25546ba2413d79ce337e6

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ import cspf_group_ip import cspf_group_link import cspf_group_subnet import cspf_group_node import cspf_group_penalty_n class cspf_group(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-mpls - based on the path /mpls-config/router/mpls/mpls-cmds-holder/cspf-group. Each member element of the container is represented as a class variable - with a specific YANG type. """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__cspf_group_name','__cspf_group_ip','__cspf_group_link','__cspf_group_subnet','__cspf_group_node','__cspf_group_penalty_n',) _yang_name = 'cspf-group' _rest_name = 'cspf-group' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__cspf_group_node = YANGDynClass(base=YANGListType("cspf_group_node_ip",cspf_group_node.cspf_group_node, yang_name="cspf-group-node", rest_name="node", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-node-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}), is_container='list', yang_name="cspf-group-node", rest_name="node", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) self.__cspf_group_penalty_n = YANGDynClass(base=cspf_group_penalty_n.cspf_group_penalty_n, is_container='container', presence=False, yang_name="cspf-group-penalty-n", rest_name="", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='container', is_config=True) self.__cspf_group_link = YANGDynClass(base=YANGListType("cspf_group_link_from cspf_group_link_to",cspf_group_link.cspf_group_link, yang_name="cspf-group-link", rest_name="link", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-link-from cspf-group-link-to', extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}), is_container='list', yang_name="cspf-group-link", rest_name="link", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) self.__cspf_group_name = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'1..128']}), is_leaf=True, yang_name="cspf-group-name", rest_name="cspf-group-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ASCII string;;Name (up to 128 characters)', u'cli-drop-node-name': None}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True) self.__cspf_group_subnet = YANGDynClass(base=YANGListType("cspf_group_subnet_ip",cspf_group_subnet.cspf_group_subnet, yang_name="cspf-group-subnet", rest_name="subnet", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-subnet-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}), is_container='list', yang_name="cspf-group-subnet", rest_name="subnet", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) self.__cspf_group_ip = YANGDynClass(base=YANGListType("cspf_group_ip_address",cspf_group_ip.cspf_group_ip, yang_name="cspf-group-ip", rest_name="from", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-ip-address', extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}), is_container='list', yang_name="cspf-group-ip", rest_name="from", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'mpls-config', u'router', u'mpls', u'mpls-cmds-holder', u'cspf-group'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'router', u'mpls', u'cspf-group'] def _get_cspf_group_name(self): """ Getter method for cspf_group_name, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_name (string) """ return self.__cspf_group_name def _set_cspf_group_name(self, v, load=False): """ Setter method for cspf_group_name, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_name (string) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_name is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_name() directly. """ parent = getattr(self, "_parent", None) if parent is not None and load is False: raise AttributeError("Cannot set keys directly when" + " within an instantiated list") if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'1..128']}), is_leaf=True, yang_name="cspf-group-name", rest_name="cspf-group-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ASCII string;;Name (up to 128 characters)', u'cli-drop-node-name': None}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_name must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'1..128']}), is_leaf=True, yang_name="cspf-group-name", rest_name="cspf-group-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ASCII string;;Name (up to 128 characters)', u'cli-drop-node-name': None}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True)""", }) self.__cspf_group_name = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_name(self): self.__cspf_group_name = YANGDynClass(base=RestrictedClassType(base_type=unicode, restriction_dict={'length': [u'1..128']}), is_leaf=True, yang_name="cspf-group-name", rest_name="cspf-group-name", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'ASCII string;;Name (up to 128 characters)', u'cli-drop-node-name': None}}, is_keyval=True, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='string', is_config=True) def _get_cspf_group_ip(self): """ Getter method for cspf_group_ip, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_ip (list) """ return self.__cspf_group_ip def _set_cspf_group_ip(self, v, load=False): """ Setter method for cspf_group_ip, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_ip (list) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_ip is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_ip() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("cspf_group_ip_address",cspf_group_ip.cspf_group_ip, yang_name="cspf-group-ip", rest_name="from", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-ip-address', extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}), is_container='list', yang_name="cspf-group-ip", rest_name="from", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_ip must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("cspf_group_ip_address",cspf_group_ip.cspf_group_ip, yang_name="cspf-group-ip", rest_name="from", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-ip-address', extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}), is_container='list', yang_name="cspf-group-ip", rest_name="from", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True)""", }) self.__cspf_group_ip = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_ip(self): self.__cspf_group_ip = YANGDynClass(base=YANGListType("cspf_group_ip_address",cspf_group_ip.cspf_group_ip, yang_name="cspf-group-ip", rest_name="from", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-ip-address', extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}), is_container='list', yang_name="cspf-group-ip", rest_name="from", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from ip address', u'cli-suppress-mode': None, u'callpoint': u'MplsCspfGroupIp', u'alt-name': u'from'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) def _get_cspf_group_link(self): """ Getter method for cspf_group_link, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_link (list) """ return self.__cspf_group_link def _set_cspf_group_link(self, v, load=False): """ Setter method for cspf_group_link, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_link (list) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_link is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_link() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("cspf_group_link_from cspf_group_link_to",cspf_group_link.cspf_group_link, yang_name="cspf-group-link", rest_name="link", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-link-from cspf-group-link-to', extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}), is_container='list', yang_name="cspf-group-link", rest_name="link", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_link must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("cspf_group_link_from cspf_group_link_to",cspf_group_link.cspf_group_link, yang_name="cspf-group-link", rest_name="link", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-link-from cspf-group-link-to', extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}), is_container='list', yang_name="cspf-group-link", rest_name="link", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True)""", }) self.__cspf_group_link = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_link(self): self.__cspf_group_link = YANGDynClass(base=YANGListType("cspf_group_link_from cspf_group_link_to",cspf_group_link.cspf_group_link, yang_name="cspf-group-link", rest_name="link", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-link-from cspf-group-link-to', extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}), is_container='list', yang_name="cspf-group-link", rest_name="link", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group from and to ip address', u'cli-suppress-mode': None, u'alt-name': u'link', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupLink'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) def _get_cspf_group_subnet(self): """ Getter method for cspf_group_subnet, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_subnet (list) """ return self.__cspf_group_subnet def _set_cspf_group_subnet(self, v, load=False): """ Setter method for cspf_group_subnet, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_subnet (list) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_subnet is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_subnet() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("cspf_group_subnet_ip",cspf_group_subnet.cspf_group_subnet, yang_name="cspf-group-subnet", rest_name="subnet", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-subnet-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}), is_container='list', yang_name="cspf-group-subnet", rest_name="subnet", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_subnet must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("cspf_group_subnet_ip",cspf_group_subnet.cspf_group_subnet, yang_name="cspf-group-subnet", rest_name="subnet", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-subnet-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}), is_container='list', yang_name="cspf-group-subnet", rest_name="subnet", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True)""", }) self.__cspf_group_subnet = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_subnet(self): self.__cspf_group_subnet = YANGDynClass(base=YANGListType("cspf_group_subnet_ip",cspf_group_subnet.cspf_group_subnet, yang_name="cspf-group-subnet", rest_name="subnet", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-subnet-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}), is_container='list', yang_name="cspf-group-subnet", rest_name="subnet", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group subnet address', u'cli-suppress-mode': None, u'alt-name': u'subnet', u'cli-compact-syntax': None, u'cli-sequence-commands': None, u'callpoint': u'MplsCspfGroupSubnet'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) def _get_cspf_group_node(self): """ Getter method for cspf_group_node, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_node (list) """ return self.__cspf_group_node def _set_cspf_group_node(self, v, load=False): """ Setter method for cspf_group_node, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_node (list) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_node is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_node() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("cspf_group_node_ip",cspf_group_node.cspf_group_node, yang_name="cspf-group-node", rest_name="node", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-node-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}), is_container='list', yang_name="cspf-group-node", rest_name="node", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_node must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("cspf_group_node_ip",cspf_group_node.cspf_group_node, yang_name="cspf-group-node", rest_name="node", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-node-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}), is_container='list', yang_name="cspf-group-node", rest_name="node", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True)""", }) self.__cspf_group_node = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_node(self): self.__cspf_group_node = YANGDynClass(base=YANGListType("cspf_group_node_ip",cspf_group_node.cspf_group_node, yang_name="cspf-group-node", rest_name="node", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cspf-group-node-ip', extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}), is_container='list', yang_name="cspf-group-node", rest_name="node", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'info': u'Configure cspf group node ip address', u'cli-no-key-completion': None, u'cli-suppress-mode': None, u'cli-suppress-list-no': None, u'alt-name': u'node', u'callpoint': u'MplsCspfGroupNode'}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='list', is_config=True) def _get_cspf_group_penalty_n(self): """ Getter method for cspf_group_penalty_n, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_penalty_n (container) """ return self.__cspf_group_penalty_n def _set_cspf_group_penalty_n(self, v, load=False): """ Setter method for cspf_group_penalty_n, mapped from YANG variable /mpls_config/router/mpls/mpls_cmds_holder/cspf_group/cspf_group_penalty_n (container) If this variable is read-only (config: false) in the source YANG file, then _set_cspf_group_penalty_n is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cspf_group_penalty_n() directly. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=cspf_group_penalty_n.cspf_group_penalty_n, is_container='container', presence=False, yang_name="cspf-group-penalty-n", rest_name="", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='container', is_config=True) except (TypeError, ValueError): raise ValueError({ 'error-string': """cspf_group_penalty_n must be of a type compatible with container""", 'defined-type': "container", 'generated-type': """YANGDynClass(base=cspf_group_penalty_n.cspf_group_penalty_n, is_container='container', presence=False, yang_name="cspf-group-penalty-n", rest_name="", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='container', is_config=True)""", }) self.__cspf_group_penalty_n = t if hasattr(self, '_set'): self._set() def _unset_cspf_group_penalty_n(self): self.__cspf_group_penalty_n = YANGDynClass(base=cspf_group_penalty_n.cspf_group_penalty_n, is_container='container', presence=False, yang_name="cspf-group-penalty-n", rest_name="", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'cli-drop-node-name': None}}, namespace='urn:brocade.com:mgmt:brocade-mpls', defining_module='brocade-mpls', yang_type='container', is_config=True) cspf_group_name = __builtin__.property(_get_cspf_group_name, _set_cspf_group_name) cspf_group_ip = __builtin__.property(_get_cspf_group_ip, _set_cspf_group_ip) cspf_group_link = __builtin__.property(_get_cspf_group_link, _set_cspf_group_link) cspf_group_subnet = __builtin__.property(_get_cspf_group_subnet, _set_cspf_group_subnet) cspf_group_node = __builtin__.property(_get_cspf_group_node, _set_cspf_group_node) cspf_group_penalty_n = __builtin__.property(_get_cspf_group_penalty_n, _set_cspf_group_penalty_n) _pyangbind_elements = {'cspf_group_name': cspf_group_name, 'cspf_group_ip': cspf_group_ip, 'cspf_group_link': cspf_group_link, 'cspf_group_subnet': cspf_group_subnet, 'cspf_group_node': cspf_group_node, 'cspf_group_penalty_n': cspf_group_penalty_n, }

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5c75b2323de3023f1aa24ff2e4a89fe825910c63

10,110

py

Python

backend/src/common/migrations/0001_initial.py

YujithIsura/request-management

3c683274881ef7798779e03a24042034edcd941c

[ "MIT" ]

1

2020-04-05T20:30:57.000Z

backend/src/common/migrations/0001_initial.py

YujithIsura/request-management

3c683274881ef7798779e03a24042034edcd941c

[ "MIT" ]

169

2020-04-09T08:39:25.000Z

2021-09-03T01:07:01.000Z

backend/src/common/migrations/0001_initial.py

YujithIsura/request-management

3c683274881ef7798779e03a24042034edcd941c

[ "MIT" ]

13

2020-04-05T20:53:11.000Z

2022-02-28T14:52:17.000Z

# Generated by Django 2.2.12 on 2020-05-17 15:23 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Category', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('top_category', models.CharField(max_length=200)), ('sub_category', models.CharField(max_length=200)), ('sn_top_category', models.CharField(max_length=200)), ('sn_sub_category', models.CharField(max_length=200)), ('tm_top_category', models.CharField(max_length=200)), ('tm_sub_category', models.CharField(max_length=200)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='Channel', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('order', models.IntegerField(blank=True, null=True, unique=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='District', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('province', models.CharField(max_length=200)), ('sn_name', models.CharField(max_length=200)), ('sn_province', models.CharField(max_length=200)), ('tm_name', models.CharField(max_length=200)), ('tm_province', models.CharField(max_length=200)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='PoliceDivision', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='PoliticalParty', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('party_type', models.CharField(blank=True, choices=[('REGISTERED_PARTY', 'Registered Party'), ('NON_REGISTERED_PARTY', 'Non Registered Party'), ('INDEPENDENT_GROUP', 'Independent Group')], max_length=50, null=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='PollingDivision', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='Province', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=100)), ('sn_name', models.CharField(max_length=100)), ('tm_name', models.CharField(max_length=100)), ('created_date', models.DateTimeField(auto_now_add=True)), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='Ward', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ('district', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.District')), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='PollingStation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('division', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('sn_division', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_division', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ('district', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.District')), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='PoliceStation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ('district', models.ForeignKey(blank=True, db_column='district_code', null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.District', to_field='code')), ('division', models.ForeignKey(blank=True, db_column='division_code', null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.PoliceDivision', to_field='code')), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='GNDivision', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ('district', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.District')), ], options={ 'ordering': ('id',), }, ), migrations.CreateModel( name='DSDivision', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.CharField(max_length=36, unique=True)), ('name', models.CharField(max_length=200)), ('sn_name', models.CharField(blank=True, max_length=200, null=True)), ('tm_name', models.CharField(blank=True, max_length=200, null=True)), ('created_date', models.DateTimeField(auto_now_add=True)), ('district', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='common.District')), ], options={ 'ordering': ('id',), }, ), ]

50.55

233

0.554698

1,022

10,110

5.303327

0.084149

0.157749

0.092989

0.15941

0.90203

0.89262

0.848708

0.807565

0.798708

0

0.02452

0.294065

10,110

199

234

50.80402

0.734903

0.00455

0

0.723958

1

0

0.111509

0.002087

0

1

0

false

0

0.010417

0

0.03125

0

null

0

1

0

1

0

null

0

8

5cc82da8b52f4e5f638229befc814af33778bdc3

108

py

Python

cnn_digits/predict_fake.py

pdabacus/quantum-unsupremacy

f7811dd2e5e63c0ea9f21deb439e6ff397a04444

[ "Beerware" ]

1

2020-04-17T09:38:30.000Z

cnn_digits/predict_fake.py

pdabacus/quantum-unsupremacy

f7811dd2e5e63c0ea9f21deb439e6ff397a04444

[ "Beerware" ]

null

cnn_digits/predict_fake.py

pdabacus/quantum-unsupremacy

f7811dd2e5e63c0ea9f21deb439e6ff397a04444

[ "Beerware" ]

null

#!/usr/bin/env python3 import sys print(sys.argv) print([0.0,0.0,0.0,0.0,1.0,0.0,0.0,0.0,0.0,0.0]) print(5)

18

48

0.62963

32

108

2.125

0.34375

0.5

0.661765

0.764706

0.279412

0.161765

0

0.217822

0.064815

108

5

49

21.6

0.455446

0.194444

0

1

0

true

0

0.25

0

0.25

0.75

0

null

1

0

1

0

1

0

1

0

null

0

1

0

1

0

8

5cce3f9a3f5e0ec1e46d0ac185a3b7c514bf1f51

15,102

py

Python

tests/unit/test_install.py

ByteInternet/pip-install-privates

5abe24ef9e0c755811238f790c9418e445df0ed9

[ "MIT" ]

27

2017-09-13T06:57:31.000Z

2022-03-09T09:30:41.000Z

tests/unit/test_install.py

ByteInternet/pip-install-privates

5abe24ef9e0c755811238f790c9418e445df0ed9

[ "MIT" ]

24

2017-09-07T05:40:05.000Z

2021-03-05T10:58:14.000Z

tests/unit/test_install.py

ByteInternet/pip-install-privates

5abe24ef9e0c755811238f790c9418e445df0ed9

[ "MIT" ]

13

2017-08-09T11:46:12.000Z

2021-04-29T18:22:11.000Z

import os import tempfile from unittest import TestCase from pip_install_privates.install import collect_requirements class TestInstall(TestCase): def _create_reqs_file(self, reqs): with tempfile.NamedTemporaryFile(delete=False) as f: f.write('\n'.join(reqs).encode('utf-8')) self.addCleanup(os.unlink, f.name) return f.name def test_considers_all_requirements_in_file(self): fname = self._create_reqs_file(['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) def test_removes_comments(self): fname = self._create_reqs_file(['mock==2.0.0', '# for testing', 'nose==1.3.7', 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) def test_removes_trailing_comments(self): fname = self._create_reqs_file(['mock==2.0.0', 'nose==1.3.7 # for testing', 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) def test_skips_empty_lines(self): fname = self._create_reqs_file(['mock==2.0.0', '', 'nose==1.3.7', '', 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) def test_strips_whitespaces(self): fname = self._create_reqs_file([' mock==2.0.0 ', ' ', 'nose==1.3.7 ']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7']) def test_reads_included_files(self): basename = self._create_reqs_file(['mock==2.0.0', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(basename), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', 'nose==1.3.7', 'fso==0.3.1']) def test_reads_chain_of_included_files(self): file1 = self._create_reqs_file(['mock==2.0.0', 'nose==1.3.7']) file2 = self._create_reqs_file(['-r {}'.format(file1), 'Django==1.10']) file3 = self._create_reqs_file(['amqp==1.4.7', '-r {}'.format(file2), 'six==1.10.0']) file4 = self._create_reqs_file(['-r {}'.format(file3), 'fso==0.3.1']) ret = collect_requirements(file4) self.assertEqual(ret, ['amqp==1.4.7', 'mock==2.0.0', 'nose==1.3.7', 'Django==1.10', 'six==1.10.0', 'fso==0.3.1']) def test_honors_vcs_urls(self): fname = self._create_reqs_file(['git+https://github.com/ByteInternet/...']) ret = collect_requirements(fname) self.assertEqual(ret, ['git+https://github.com/ByteInternet/...']) def test_transforms_vcs_git_url_to_oauth(self): fname = self._create_reqs_file(['git+git@github.com:ByteInternet/...']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['git+https://my-token:x-oauth-basic@github.com/ByteInternet/...']) def test_transforms_vcs_git_url_to_oauth_dashe_option(self): fname = self._create_reqs_file(['-e git+git@github.com:ByteInternet/...']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['-e', 'git+https://my-token:x-oauth-basic@github.com/ByteInternet/...']) def test_transforms_vcs_ssh_url_to_oauth(self): fname = self._create_reqs_file(['git+ssh://git@github.com/ByteInternet/...']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['git+https://my-token:x-oauth-basic@github.com/ByteInternet/...']) def test_transforms_vcs_ssh_url_to_oauth_dashe_option(self): fname = self._create_reqs_file(['-e git+ssh://git@github.com/ByteInternet/...']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['-e', 'git+https://my-token:x-oauth-basic@github.com/ByteInternet/...']) def test_transforms_urls_in_included_files(self): file1 = self._create_reqs_file(['mock==2.0.0', '-e git+git@github.com:ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['mock==2.0.0', '-e', 'git+https://my-token:x-oauth-basic@github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_transforms_git_plus_git_urls_to_regular_url_if_no_token_provided(self): file1 = self._create_reqs_file(['mock==2.0.0', '-e git+git@github.com:ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', '-e', 'git+https://github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_transforms_git_plus_ssh_urls_to_regular_url_if_no_token_provided(self): file1 = self._create_reqs_file(['mock==2.0.0', '-e git+ssh://git@github.com/ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', '-e', 'git+https://github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_transforms_git_plus_https_urls_to_https_url_with_oauth_token_if_token_provided(self): file1 = self._create_reqs_file(['mock==2.0.0', 'git+https://github.com/ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['mock==2.0.0', 'git+https://my-token:x-oauth-basic@github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_transforms_editable_git_plus_https_urls_to_editable_https_url_with_oauth_token_if_token_provided(self): file1 = self._create_reqs_file(['mock==2.0.0', '-e git+https://github.com/ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token='my-token') self.assertEqual(ret, ['mock==2.0.0', '-e', 'git+https://my-token:x-oauth-basic@github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_does_not_transform_git_plus_https_urls_to_https_url_with_oauth_token_if_no_token_provided(self): file1 = self._create_reqs_file(['mock==2.0.0', '-e git+https://github.com/ByteInternet/...', 'nose==1.3.7']) fname = self._create_reqs_file(['-r {}'.format(file1), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, ['mock==2.0.0', '-e', 'git+https://github.com/ByteInternet/...', 'nose==1.3.7', 'fso==0.3.1']) def test_transforms_editable_requirement_with_pip_environment_marker_to_github_url_with_token(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'git+https://github.com/ByteInternet/... ; python_version==\"2.7\"'", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token=True) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'git+https://True:x-oauth-basic@github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_editable_requirement_with_pip_environment_marker_inline_comment_to_github_url_with_token(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'git+https://github.com/ByteInternet/... ; python_version==\"2.7\"' # We need this because reasons", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token=True) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'git+https://True:x-oauth-basic@github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_editable_requirement_with_pip_environment_marker_to_github_url_without_token(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'git+https://github.com/ByteInternet/... ; python_version==\"2.7\"'", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'git+https://github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_editable_requirement_with_pip_environment_marker_inline_comment_to_github_url_no_token(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'git+https://github.com/ByteInternet/... ; python_version==\"2.7\"' # We need this because reasons", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'git+https://github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_editable_requirement_with_pip_environment_marker_if_cannot_convert_to_url(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'banana+https://github.com/ByteInternet/... ; python_version==\"2.7\"'", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'banana+https://github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_editable_requirement_with_pip_environment_marker_inline_comment_if_cannot_convert_to_url(self): file = self._create_reqs_file([ 'mock==2.0.0', "-e 'banana+https://github.com/ByteInternet/... ; python_version==\"2.7\"' # We need this because reasons", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', '-e', 'banana+https://github.com/ByteInternet/... ; python_version=="2.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_requirement_if_pip_environment_marker_in_tokens(self): file = self._create_reqs_file([ 'mock==2.0.0', "myrequirement==1.3.3.7 ; python_version==\"3.7\"", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', 'myrequirement==1.3.3.7 ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_requirement_if_pip_environment_marker_in_tokens_with_inline_comment(self): file = self._create_reqs_file([ 'mock==2.0.0', "myrequirement==1.3.3.7 ; python_version==\"3.7\" # We need this because reasons", 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', 'myrequirement==1.3.3.7 ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_non_editable_github_url_with_pip_environment_markers_to_correct_requirement(self): file = self._create_reqs_file([ 'mock==2.0.0', 'git+ssh://git@github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', 'git+https://github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_non_editable_github_url_with_pip_environment_markers_to_correct_requirement_with_token(self): file = self._create_reqs_file([ 'mock==2.0.0', 'git+ssh://git@github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token=True) self.assertEqual(ret, [ 'mock==2.0.0', 'git+https://True:x-oauth-basic@github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_non_editable_github_url_with_pip_environment_markers_to_correct_requirement_with_comment(self): file = self._create_reqs_file([ 'mock==2.0.0', 'git+ssh://git@github.com/ByteInternet/... ; python_version=="3.7" # We need this', 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname) self.assertEqual(ret, [ 'mock==2.0.0', 'git+https://github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ]) def test_transforms_non_editable_github_url_with_pip_environment_markers_to_correct_requirement_with_token_and_comment(self): file = self._create_reqs_file([ 'mock==2.0.0', 'git+ssh://git@github.com/ByteInternet/... ; python_version=="3.7" # We need this because reasons', 'nose==1.3.7' ]) fname = self._create_reqs_file(['-r {}'.format(file), 'fso==0.3.1']) ret = collect_requirements(fname, transform_with_token=True) self.assertEqual(ret, [ 'mock==2.0.0', 'git+https://True:x-oauth-basic@github.com/ByteInternet/... ; python_version=="3.7"', 'nose==1.3.7', 'fso==0.3.1' ])

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15,102

4.003874

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0.089744

0.113208

0.927189

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15,102

356

130

42.421348

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0

null

0

1

0

1

0

null

0

7

8fa167d1d2b1157f91cbc96891506245b65514f5

356

py

Python

echopy/echoapi/ws/echoapi.py

echoprotocol/echopy-lib

7fe11eeeba727023ea61e19b2c1b0ff5c097a2f3

[ "MIT" ]

7

2019-02-26T18:28:24.000Z

2019-12-18T14:47:04.000Z

echopy/echoapi/ws/echoapi.py

echoprotocol/echopy-lib

7fe11eeeba727023ea61e19b2c1b0ff5c097a2f3

[ "MIT" ]

null

echopy/echoapi/ws/echoapi.py

echoprotocol/echopy-lib

7fe11eeeba727023ea61e19b2c1b0ff5c097a2f3

[ "MIT" ]

2

2019-09-20T10:20:54.000Z

2020-03-20T10:06:55.000Z

class EchoApi: def __init__(self, register_query, api_name): self.register_query = register_query self.api_name = api_name self.api_id = self.register_query(api_name, ["", ""] if self.api_name == 'login' else [], api=1) def rpcexec(self, method, params): return self.register_query(method, params, api=self.api_id)

39.555556

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356

4.46

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0.29148

0.304933

0.179372

0.215247

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0.003534

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356

8

105

44.5

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0.142857

0.571429

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0

1

0

null

0

1

0

1

0

7

8fba2bb2e077dad35642822ab9a35e63aefac759

158

py

Python

insert.py

Ilyes-Hammadi/books-library

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

9

2017-07-20T15:25:51.000Z

2019-08-26T22:48:01.000Z

insert.py

Ilyes-Hammadi/bookslib

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

null

insert.py

Ilyes-Hammadi/bookslib

cba0df1ae95c3467b8d16caca16383c0af9a98cd

[ "MIT" ]

null

execfile('init_data/insert_categories.py') execfile('init_data/insert_users.py') execfile('init_data/insert_books.py') execfile('init_data/insert_ratings.py')

39.5

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0.520325

0.715447

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0.018987

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1

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1

null

0

1

0

8

8f14d16f2aacd80712d6e4e725d8c12847b0b266

3,315

py

Python

detectron2/layers/mbconv.py

akashAD98/detectron2

295fbb8b96eda271869fc6955280d16596781766

[ "Apache-2.0" ]

null

detectron2/layers/mbconv.py

akashAD98/detectron2

295fbb8b96eda271869fc6955280d16596781766

[ "Apache-2.0" ]

null

detectron2/layers/mbconv.py

akashAD98/detectron2

295fbb8b96eda271869fc6955280d16596781766

[ "Apache-2.0" ]

null

#!/usr/bin/env python import torch.nn as nn from .conv import ConvBNA from .sequeeze_excitation import SqueezeExcitation as SE __all__ = ['MBConv', 'FusedMBConv'] class MBConv(nn.Module): def __init__( self, in_channels: int, expansion: int, out_channels: int = -1, **kwargs: dict, ): super(MBConv, self).__init__() self.out_channels = max(in_channels, out_channels) hidden_channels = in_channels * max(expansion, 1) reduction = kwargs.get('reduction', 4) knxn = kwargs.get('knxn', 3) bias = kwargs.get('bias', False) self.stride = kwargs.get('stride', 1) self.conv1 = ConvBNA( in_channels=in_channels, out_channels=hidden_channels, kernel_size=1, bias=bias, ) self.conv2 = ConvBNA( in_channels=hidden_channels, out_channels=hidden_channels, groups=hidden_channels, kernel_size=knxn, padding=1, stride=self.stride, bias=bias, ) self.se = ( SE( in_channels=hidden_channels, reduction=reduction, out_channels=in_channels, ) if reduction > 0 else None ) self.conv3 = ConvBNA( in_channels=hidden_channels, out_channels=out_channels, kernel_size=1, bias=bias, activation=None, ) def forward(self, inp): x = self.conv1(inp) x = self.conv2(x) if self.se is not None: x = self.se(x) x = self.conv3(x) if x.shape[1:] == inp.shape[1:]: return x + inp return x class FusedMBConv(nn.Module): def __init__( self, in_channels: int, expansion: int, out_channels: int = -1, **kwargs: dict, ): super(FusedMBConv, self).__init__() self.out_channels = max(in_channels, out_channels) hidden_channels = in_channels * max(expansion, 1) reduction = kwargs.get('reduction', 4) knxn = kwargs.get('knxn', 3) bias = kwargs.get('bias', False) self.stride = kwargs.get('stride', 1) self.conv1 = ConvBNA( in_channels=in_channels, out_channels=hidden_channels, kernel_size=knxn, padding=1, stride=self.stride, bias=bias, ) self.se = ( SE( in_channels=hidden_channels, reduction=reduction, out_channels=in_channels, ) if reduction > 0 else None ) self.conv2 = ConvBNA( in_channels=hidden_channels, out_channels=out_channels, kernel_size=1, activation=None, bias=bias, ) def forward(self, inp): x = self.conv1(inp) if self.se is not None: x = self.se(x) x = self.conv2(x) if x.shape[1:] == inp.shape[1:]: return x + inp return x

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0.177326

0.108074

0.13986

0.079466

0.861411

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0.831532

0.793388

0.757788

0

0.015865

0.410558

3,315

123

60

26.95122

0.78915

0.006033

0

0.811321

0

0.019868

0

1

0.037736

false

0

0.028302

0

0.122642

0

null

0

1

0

1

0

null

0

7

8f1560dd088329976eafb47cc64d00effcacec82

260

py

Python

trials/motleytrials/help-motleydatetime.py

ericmotleybytes/motleylog

a389483fd647523e9b582f2f5d0d47143235a645

[ "MIT" ]

null

trials/motleytrials/help-motleydatetime.py

ericmotleybytes/motleylog

a389483fd647523e9b582f2f5d0d47143235a645

[ "MIT" ]

null

trials/motleytrials/help-motleydatetime.py

ericmotleybytes/motleylog

a389483fd647523e9b582f2f5d0d47143235a645

[ "MIT" ]

null

import motleylog.motleydatetime print('#'*80) print('# >>> help(motleylog.motleydatetime)') print('#'*80) help(motleylog.motleydatetime) print('#'*80) print('# >>> help(motleylog.motleydatetime.is_naive)') print('#'*80) help(motleylog.motleydatetime.is_naive)

26

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260

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0.571429

0.47619

0.968254

0.656085

0

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260

9

55

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0

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1

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1

0

null

0

1

0

1

0

8

8f1f9331142f2a0dfda94f7df96b245e2cfd75da

13,374

py

Python

apis/nb/clients/file_service_client/FileApi.py

CiscoDevNet/APIC-EM-Generic-Scripts-

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

45

2016-06-09T15:41:25.000Z

2019-08-06T17:13:11.000Z

apis/nb/clients/file_service_client/FileApi.py

CiscoDevNet/APIC-EM-Generic-Scripts

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

36

2016-06-12T03:03:56.000Z

2017-03-13T18:20:11.000Z

apis/nb/clients/file_service_client/FileApi.py

CiscoDevNet/APIC-EM-Generic-Scripts

74211d9488f1e77cf56ef86dba20ec8e8eb49cc1

[ "ECL-2.0", "Apache-2.0" ]

15

2016-06-22T03:51:37.000Z

2019-07-10T10:06:02.000Z

#!/usr/bin/env python #pylint: skip-file # This source code is licensed under the Apache license found in the # LICENSE file in the root directory of this project. import sys import os import urllib.request, urllib.parse, urllib.error from .models import * class FileApi(object): def __init__(self, apiClient): self.apiClient = apiClient def getNameSpaceList(self, **kwargs): """Returns list of available namespaces Args: scope, str: Authorization Scope for RBAC (required) Returns: NameSpaceListResult """ allParams = ['scope'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method getNameSpaceList" % key) params[key] = val del params['kwargs'] resourcePath = '/file/namespace' resourcePath = resourcePath.replace('{format}', 'json') method = 'GET' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' headerParams['Content-Type'] = 'application/json' if ('scope' in params): headerParams['scope'] = params['scope'] postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'NameSpaceListResult') return responseObject def getFilesByNamespace(self, **kwargs): """Returns list of files under a specific namespace Args: nameSpace, str: A listing of fileId's (required) scope, str: Authorization Scope for RBAC (required) Returns: FileObjectListResult """ allParams = ['nameSpace', 'scope'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method getFilesByNamespace" % key) params[key] = val del params['kwargs'] resourcePath = '/file/namespace/{nameSpace}' resourcePath = resourcePath.replace('{format}', 'json') method = 'GET' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' headerParams['Content-Type'] = 'application/json' if ('scope' in params): headerParams['scope'] = params['scope'] if ('nameSpace' in params): replacement = str(self.apiClient.toPathValue(params['nameSpace'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'nameSpace' + '}', replacement) postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'FileObjectListResult') return responseObject def downLoadFile(self, **kwargs): """Downloads a file referred by the fileId Args: fileId, str: File Identification number (required) scope, str: Authorization Scope for RBAC (required) Returns: """ allParams = ['fileId', 'scope'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method downLoadFile" % key) params[key] = val del params['kwargs'] resourcePath = '/file/{fileId}' resourcePath = resourcePath.replace('{format}', 'json') method = 'GET' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' #changed this manually from 'application/json' to 'multipart/form-data' headerParams['Content-Type'] = 'multipart/form-data' if ('scope' in params): headerParams['scope'] = params['scope'] if ('fileId' in params): replacement = str(self.apiClient.toPathValue(params['fileId'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'fileId' + '}', replacement) postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None return response def deleteFile(self, **kwargs): """Deletes a file with the specified fileId Args: fileId, str: File Identification number (required) scope, str: Authorization Scope for RBAC (required) Returns: SuccessResult """ allParams = ['fileId', 'scope'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method deleteFile" % key) params[key] = val del params['kwargs'] resourcePath = '/file/{fileId}' resourcePath = resourcePath.replace('{format}', 'json') method = 'DELETE' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' headerParams['Content-Type'] = 'application/json' if ('scope' in params): headerParams['scope'] = params['scope'] if ('fileId' in params): replacement = str(self.apiClient.toPathValue(params['fileId'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'fileId' + '}', replacement) postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'SuccessResult') return responseObject def getChecksumOfFile(self, **kwargs): """Retrieves checksum for the file referred to by the fileId Args: fileId, str: File Identification number (required) scope, str: Authorization Scope for RBAC (required) Returns: SuccessResult """ allParams = ['fileId', 'scope'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method getChecksumOfFile" % key) params[key] = val del params['kwargs'] resourcePath = '/file/{fileId}/checksum' resourcePath = resourcePath.replace('{format}', 'json') method = 'GET' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' headerParams['Content-Type'] = 'application/json' if ('scope' in params): headerParams['scope'] = params['scope'] if ('fileId' in params): replacement = str(self.apiClient.toPathValue(params['fileId'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'fileId' + '}', replacement) postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'SuccessResult') return responseObject def uploadFile(self, **kwargs): """Uploads a new file within a specific nameSpace Args: nameSpace, str: Specify File's namespace,namespace is a grouping of multiple files (required) toEncrypt, bool: toEncrypt (required) scope, str: Authorization Scope for RBAC (required) fileUpload, : (required) Returns: FileObjectResult """ allParams = ['nameSpace', 'toEncrypt', 'scope', 'fileUpload'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method uploadFile" % key) params[key] = val del params['kwargs'] resourcePath = '/file/{nameSpace}' resourcePath = resourcePath.replace('{format}', 'json') method = 'POST' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' headerParams['Content-Type'] = 'multipart/form-data' if ('toEncrypt' in params): queryParams['toEncrypt'] = self.apiClient.toPathValue(params['toEncrypt']) if ('scope' in params): headerParams['scope'] = params['scope'] if ('nameSpace' in params): replacement = str(self.apiClient.toPathValue(params['nameSpace'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'nameSpace' + '}', replacement) if ('fileUpload' in params): bodyParam = params['fileUpload'] postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'FileObjectResult') return responseObject def updateFile(self, **kwargs): """Updates an existing file within a specific nameSpace Args: nameSpace, str: Specify File's namespace,namespace is a grouping of multiple files (required) fileId, str: Specify File Identification number (required) scope, str: Authorization Scope for RBAC (required) fileUpload, : (required) Returns: FileObjectResult """ allParams = ['nameSpace', 'fileId', 'scope', 'fileUpload'] params = locals() for (key, val) in list(params['kwargs'].items()): if key not in allParams: raise TypeError("Got an unexpected keyword argument '%s' to method updateFile" % key) params[key] = val del params['kwargs'] resourcePath = '/file/{nameSpace}/{fileId}' resourcePath = resourcePath.replace('{format}', 'json') method = 'PUT' queryParams = {} headerParams = {} formParams = {} files = {} bodyParam = None headerParams['Accept'] = 'application/json' #changed this manually from 'application/json' to 'multipart/form-data' headerParams['Content-Type'] = 'multipart/form-data' if ('scope' in params): headerParams['scope'] = params['scope'] if ('nameSpace' in params): replacement = str(self.apiClient.toPathValue(params['nameSpace'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'nameSpace' + '}', replacement) if ('fileId' in params): replacement = str(self.apiClient.toPathValue(params['fileId'])) replacement = urllib.parse.quote(replacement) resourcePath = resourcePath.replace('{' + 'fileId' + '}', replacement) if ('fileUpload' in params): bodyParam = params['fileUpload'] postData = (formParams if formParams else bodyParam) response = self.apiClient.callAPI(resourcePath, method, queryParams, postData, headerParams, files=files) if not response: return None responseObject = self.apiClient.deserialize(response, 'FileObjectResult') return responseObject

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null

0

7

8f47edde6980006b6b0427ca0b0cec78f0c89166

170

py

Python

espnet2/gan_tts/style_melgan/__init__.py

texpomru13/espnet

7ef005e832e2fb033f356c16f54e0f08762fb4b0

[ "Apache-2.0" ]

5,053

2017-12-13T06:21:41.000Z

2022-03-31T13:38:29.000Z

espnet2/gan_tts/style_melgan/__init__.py

texpomru13/espnet

7ef005e832e2fb033f356c16f54e0f08762fb4b0

[ "Apache-2.0" ]

3,666

2017-12-14T05:58:50.000Z

2022-03-31T22:11:49.000Z

espnet2/gan_tts/style_melgan/__init__.py

texpomru13/espnet

7ef005e832e2fb033f356c16f54e0f08762fb4b0

[ "Apache-2.0" ]

1,709

2017-12-13T01:02:42.000Z

2022-03-31T11:57:45.000Z

from espnet2.gan_tts.style_melgan.style_melgan import StyleMelGANDiscriminator # NOQA from espnet2.gan_tts.style_melgan.style_melgan import StyleMelGANGenerator # NOQA

56.666667

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0.239437

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null

0

1

0

1

0

1

0

8

8f80966037ca53c1713005e876a567e4069d5931

163

py

Python

utils_v3/__init__.py

lamnguyen95/pyutils_v3

59ddee24955074d830387f28b27820d47ab8ef56

[ "MIT" ]

null

utils_v3/__init__.py

lamnguyen95/pyutils_v3

59ddee24955074d830387f28b27820d47ab8ef56

[ "MIT" ]

null

utils_v3/__init__.py

lamnguyen95/pyutils_v3

59ddee24955074d830387f28b27820d47ab8ef56

[ "MIT" ]

null

#!/usr/bin/env python3 from __future__ import absolute_import from utils_v3.get_stats import * from utils_v3.archive import * from utils_v3.recreate import *

20.375

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56de0f6d7fd5bceed77cc57be2449b2362890e5a

16,542

py

Python

src/abaqus/StepOutput/FieldOutputRequest.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/StepOutput/FieldOutputRequest.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/StepOutput/FieldOutputRequest.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

import typing from abaqusConstants import * class FieldOutputRequest: """The FieldOutputRequest object defines a field output request. Attributes ---------- boltLoad: str A String specifying a bolt load from which output is requested. region: SymbolicConstant The SymbolicConstant MODEL or a :py:class:`~abaqus.Region.Region.Region` object specifying the region from which output is requested. The SymbolicConstant MODEL represents the whole model. The default value is MODEL. interactions: tuple None or a tuple of Strings specifying the interaction names. The default value is None.The sequence can contain only one String. Notes ----- This object can be accessed by: .. code-block:: python import step mdb.models[name].fieldOutputRequests[name] The corresponding analysis keywords are: - CONTACT OUTPUT - ELEMENT OUTPUT - ENERGY OUTPUT - INCREMENTATION OUTPUT - MODAL OUTPUT - NODE OUTPUT - OUTPUT - RADIATION OUTPUT """ # A String specifying a bolt load from which output is requested. boltLoad: str = '' # The SymbolicConstant MODEL or a Region object specifying the region from which output is # requested. The SymbolicConstant MODEL represents the whole model. The default value is # MODEL. region: SymbolicConstant = MODEL # None or a tuple of Strings specifying the interaction names. The default value is # None.The sequence can contain only one String. interactions: tuple = None def __init__(self, name: str, createStepName: str, region: SymbolicConstant = MODEL, variables: SymbolicConstant = PRESELECT, frequency: SymbolicConstant = 1, modes: SymbolicConstant = ALL, timeInterval: typing.Union[SymbolicConstant, float] = EVERY_TIME_INCREMENT, numIntervals: int = 20, timeMarks: Boolean = OFF, boltLoad: str = '', sectionPoints: SymbolicConstant = DEFAULT, interactions: str = None, rebar: SymbolicConstant = EXCLUDE, filter: SymbolicConstant = None, directions: Boolean = ON, fasteners: str = '', assembledFastener: str = '', assembledFastenerSet: str = '', exteriorOnly: Boolean = OFF, layupNames: str = '', layupLocationMethod: str = SPECIFIED, outputAtPlyTop: Boolean = False, outputAtPlyMid: Boolean = True, outputAtPlyBottom: Boolean = False, position: SymbolicConstant = INTEGRATION_POINTS): """This method creates a FieldOutputRequest object. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].FieldOutputRequest Parameters ---------- name A String specifying the repository key. createStepName A String specifying the name of the step in which the object is created. region The SymbolicConstant MODEL or a Region object specifying the region from which output is requested. The SymbolicConstant MODEL represents the whole model. The default value is MODEL. variables A sequence of Strings specifying output request variable or component names, or the SymbolicConstant PRESELECT or ALL. PRESELECT represents all default output variables for the given step. ALL represents all valid output variables. The default value is PRESELECT. frequency The SymbolicConstant LAST_INCREMENT or an Int specifying the output frequency in increments. The default value is 1. modes The SymbolicConstant ALL or a sequence of Ints specifying a list of eigenmodes for which output is desired. The default value is ALL. timeInterval The SymbolicConstant EVERY_TIME_INCREMENT or a Float specifying the time interval at which the output states are to be written. The default value is EVERY_TIME_INCREMENT. numIntervals An Int specifying the number of intervals during the step at which output database states are to be written. The default value is 20. timeMarks A Boolean specifying when to write results to the output database. OFF indicates that output is written immediately after the time dictated by the specified number of intervals. ON indicates that output is written at the exact times dictated by the specified number of intervals. The default value is OFF. boltLoad A String specifying a bolt load from which output is requested. sectionPoints The SymbolicConstant DEFAULT or a sequence of Ints specifying the section points for which output requested. The default is DEFAULT. interactions None or a sequence of Strings specifying the interaction names. The default value is None.The sequence can contain only one String. rebar A SymbolicConstant specifying whether output is requested for rebar. Possible values are EXCLUDE, INCLUDE, and ONLY. The default value is EXCLUDE. filter The SymbolicConstant ANTIALIASING or a String specifying the name of an output filter object. The default value is None. directions A Boolean specifying whether to output directions of the local material coordinate system. The default value is ON. fasteners A String specifying the fastener name. The default value is an empty string. assembledFastener A String specifying the assembled fastener name. The default value is an empty string. assembledFastenerSet A String specifying the set name from the model referenced by the assembled fastener, *assembledFastener*. The default value is an empty string. exteriorOnly A Boolean specifying whether the output domain is restricted to the exterior of the model. This argument is only valid if *region*=MODEL. The default value is OFF. layupNames A List of Composite Layer Names. layupLocationMethod A Symbolic constant specifying the method used to indicate the output locations for composite layups. Possible values are ALL_LOCATIONS, SPECIFIED and TYPED_IN. The default value is SPECIFIED. outputAtPlyTop A Boolean specifying whether to output at the ply top section point. The default value is False. outputAtPlyMid A Boolean specifying whether to output at the ply mid section point. The default value is True. outputAtPlyBottom A Boolean specifying whether to output at the ply bottom section point. The default value is False. position A SymbolicConstant specifying the position on an element where output needs to be written. Possible values are INTEGRATION_POINTS, AVERAGED_AT_NODES, CENTROIDAL, and NODES. The default value is INTEGRATION_POINTS. """ pass def deactivate(self, stepName: str): """This method deactivates the field output request in the specified step and all its subsequent steps. Parameters ---------- stepName A String specifying the name of the step in which the field output request is deactivated. """ pass def move(self, fromStepName: str, toStepName: str): """This method moves the field output request state object from one step to a different step. Parameters ---------- fromStepName A String specifying the name of the step from which the field output request state is moved. toStepName A String specifying the name of the step to which the field output request state is moved. """ pass def reset(self, stepName: str): """This method resets the field output request state of the specified step to the state of the previous step. Parameters ---------- stepName A String specifying the name of the step in which the field output request state is reset. """ pass def resume(self): """This method resumes the field output request that was previously suppressed. """ pass def suppress(self): """This method suppresses the field output request. """ pass def setValues(self, region: SymbolicConstant = MODEL, variables: SymbolicConstant = PRESELECT, frequency: SymbolicConstant = 1, modes: SymbolicConstant = ALL, timeInterval: typing.Union[SymbolicConstant, float] = EVERY_TIME_INCREMENT, numIntervals: int = 20, timeMarks: Boolean = OFF, boltLoad: str = '', sectionPoints: SymbolicConstant = DEFAULT, interactions: str = None, rebar: SymbolicConstant = EXCLUDE, filter: SymbolicConstant = None, directions: Boolean = ON, fasteners: str = '', assembledFastener: str = '', assembledFastenerSet: str = '', exteriorOnly: Boolean = OFF, layupNames: str = '', layupLocationMethod: str = SPECIFIED, outputAtPlyTop: Boolean = False, outputAtPlyMid: Boolean = True, outputAtPlyBottom: Boolean = False, position: SymbolicConstant = INTEGRATION_POINTS): """This method modifies the data for an existing FieldOutputRequest object in the step where it is created. Parameters ---------- region The SymbolicConstant MODEL or a Region object specifying the region from which output is requested. The SymbolicConstant MODEL represents the whole model. The default value is MODEL. variables A sequence of Strings specifying output request variable or component names, or the SymbolicConstant PRESELECT or ALL. PRESELECT represents all default output variables for the given step. ALL represents all valid output variables. The default value is PRESELECT. frequency The SymbolicConstant LAST_INCREMENT or an Int specifying the output frequency in increments. The default value is 1. modes The SymbolicConstant ALL or a sequence of Ints specifying a list of eigenmodes for which output is desired. The default value is ALL. timeInterval The SymbolicConstant EVERY_TIME_INCREMENT or a Float specifying the time interval at which the output states are to be written. The default value is EVERY_TIME_INCREMENT. numIntervals An Int specifying the number of intervals during the step at which output database states are to be written. The default value is 20. timeMarks A Boolean specifying when to write results to the output database. OFF indicates that output is written immediately after the time dictated by the specified number of intervals. ON indicates that output is written at the exact times dictated by the specified number of intervals. The default value is OFF. boltLoad A String specifying a bolt load from which output is requested. sectionPoints The SymbolicConstant DEFAULT or a sequence of Ints specifying the section points for which output requested. The default is DEFAULT. interactions None or a sequence of Strings specifying the interaction names. The default value is None.The sequence can contain only one String. rebar A SymbolicConstant specifying whether output is requested for rebar. Possible values are EXCLUDE, INCLUDE, and ONLY. The default value is EXCLUDE. filter The SymbolicConstant ANTIALIASING or a String specifying the name of an output filter object. The default value is None. directions A Boolean specifying whether to output directions of the local material coordinate system. The default value is ON. fasteners A String specifying the fastener name. The default value is an empty string. assembledFastener A String specifying the assembled fastener name. The default value is an empty string. assembledFastenerSet A String specifying the set name from the model referenced by the assembled fastener, *assembledFastener*. The default value is an empty string. exteriorOnly A Boolean specifying whether the output domain is restricted to the exterior of the model. This argument is only valid if *region*=MODEL. The default value is OFF. layupNames A List of Composite Layer Names. layupLocationMethod A Symbolic constant specifying the method used to indicate the output locations for composite layups. Possible values are ALL_LOCATIONS, SPECIFIED and TYPED_IN. The default value is SPECIFIED. outputAtPlyTop A Boolean specifying whether to output at the ply top section point. The default value is False. outputAtPlyMid A Boolean specifying whether to output at the ply mid section point. The default value is True. outputAtPlyBottom A Boolean specifying whether to output at the ply bottom section point. The default value is False. position A SymbolicConstant specifying the position on an element where output needs to be written. Possible values are INTEGRATION_POINTS, AVERAGED_AT_NODES, CENTROIDAL, and NODES. The default value is INTEGRATION_POINTS. """ pass def setValuesInStep(self, stepName: str, variables: SymbolicConstant = None, frequency: SymbolicConstant = 1, modes: SymbolicConstant = ALL, timeInterval: typing.Union[SymbolicConstant, float] = EVERY_TIME_INCREMENT, numIntervals: int = 20, timePoints: str = None, timeMarks: Boolean = OFF): """This method modifies the propagating data for an existing FieldOutputRequest object in the specified step. Parameters ---------- stepName A String specifying the name of the step in which the field output request is modified. variables A sequence of Strings specifying output request variable or component names, or the SymbolicConstant PRESELECT or ALL. PRESELECT represents all default output variables for the given step. ALL represents all valid output variables. frequency The SymbolicConstant LAST_INCREMENT or an Int specifying the output frequency in increments. The default value is 1. modes The SymbolicConstant ALL or a sequence of Ints specifying a list of eigenmodes for which output is desired. The default value is ALL. timeInterval The SymbolicConstant EVERY_TIME_INCREMENT or a Float specifying the time interval at which the output states are to be written. The default value is EVERY_TIME_INCREMENT. numIntervals An Int equal to the number of intervals during the step at which output database states are to be written. The default value is 20. timePoints A String specifying the name of a time point object. The default value is equal to the number of intervals during the step at which output database states are to be written. The default value is None. timeMarks A Boolean specifying when to write results to the output database. The default value is OFF. """ pass

49.526946

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16,542

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0.049523

0.071482

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16,542

333

131

49.675676

0.941819

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null

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56f8a92e1d409d6b49d59e42960ec03143bef5ec

23,168

py

Python

tests/MPInumpy/MPIArray_indexing_test.py

edgargabriel/mpids

170f402ecea5af0db4eee39e8d426884dce12ad6

[ "BSD-2-Clause" ]

1

2020-01-22T03:27:31.000Z

tests/MPInumpy/MPIArray_indexing_test.py

jrodgers01d/mpids

f771b1d25eba5f5dc8e30e5d86ee0251775b9da1

[ "BSD-2-Clause" ]

1

2020-05-04T20:25:55.000Z

tests/MPInumpy/MPIArray_indexing_test.py

jrodgers01d/mpids

f771b1d25eba5f5dc8e30e5d86ee0251775b9da1

[ "BSD-2-Clause" ]

2

2019-04-08T03:01:31.000Z

2020-04-27T15:56:28.000Z

import unittest import numpy as np from mpi4py import MPI import mpids.MPInumpy as mpi_np from mpids.MPInumpy.errors import NotSupportedError from mpids.MPInumpy.distributions.Replicated import Replicated class MPIArrayIndexingDefaultTest(unittest.TestCase): def create_setUp_parms(self): parms = {} parms['comm'] = MPI.COMM_WORLD # Default distribution parms['dist'] = 'b' parms['data'] = np.arange(25).reshape(5,5) return parms def setUp(self): parms = self.create_setUp_parms() self.comm = parms.get('comm') self.dist = parms.get('dist') self.data = parms.get('data') self.mpi_array = mpi_np.array(self.data, comm=self.comm, dist=self.dist) def test_custom_setitem_indexing_exceptions_behavior(self): #Check for value errors when trying to set a value to a type ## that can't be converted with self.assertRaises(ValueError): self.mpi_array[0] = 'A string' #Check Index Error for index outside global range with self.assertRaises(IndexError): shape_axis0, _ = self.mpi_array.globalshape self.mpi_array[shape_axis0 + 1] = 1 with self.assertRaises(IndexError): _, shape_axis1 = self.mpi_array.globalshape self.mpi_array[shape_axis1 + 1] = 2 #Check Index Error for index with more dims than distributed array with self.assertRaises(IndexError): ndims = len(self.mpi_array.globalshape) over_index = tuple([0] * (ndims + 1)) self.mpi_array[over_index] = 3 #Check Not Supported Error is thrown when non int/slice/tuple key provided with self.assertRaises(NotSupportedError): self.mpi_array[[0, 1]] = 4 #Check that not supported is raised when trying to set value(s) ## with multiple elements for distributed arrays if not isinstance(self.mpi_array, Replicated): with self.assertRaises(NotSupportedError): self.mpi_array[:,0] = [0] * self.mpi_array.globalshape[0] with self.assertRaises(NotSupportedError): self.mpi_array[:,0] = (1, 2, 3, 4, 5) with self.assertRaises(NotSupportedError): self.mpi_array[0] = [2, 3] def test_custom_setitem_indexing_modify_first_row(self): global_first_row = 0 self.mpi_array[global_first_row] = 9999999 self.data[global_first_row] = 9999999 collected_array = self.mpi_array.collect_data() self.assertTrue(np.alltrue(collected_array[global_first_row] == 9999999)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_last_row(self): global_last_row = self.mpi_array.globalshape[0] - 1 self.mpi_array[global_last_row] = 9999999 self.data[global_last_row] = 9999999 collected_array = self.mpi_array.collect_data() self.assertTrue(np.alltrue(collected_array[global_last_row] == 9999999)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_first_middle_last_row(self): global_first_row = 0 global_middle_row = self.mpi_array.globalshape[0] // 2 global_last_row = self.mpi_array.globalshape[0] - 1 self.mpi_array[global_first_row] = 9999999 self.data[global_first_row] = 9999999 self.mpi_array[global_middle_row] = 6666666 self.data[global_middle_row] = 6666666 self.mpi_array[global_last_row] = 3333333 self.data[global_last_row] = 3333333 collected_array = self.mpi_array.collect_data() self.assertTrue( np.alltrue(collected_array[global_first_row] == 9999999)) self.assertTrue( np.alltrue(collected_array[global_middle_row] == 6666666)) self.assertTrue( np.alltrue(collected_array[global_last_row] == 3333333)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_first_col(self): global_first_col = 0 self.mpi_array[:, global_first_col] = 9999999 self.data[:, global_first_col] = 9999999 collected_array = self.mpi_array.collect_data() self.assertTrue( np.alltrue(collected_array[:, global_first_col] == 9999999)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_last_col(self): global_last_col = self.mpi_array.globalshape[1] - 1 self.mpi_array[:, global_last_col] = 9999999 self.data[:, global_last_col] = 9999999 collected_array = self.mpi_array.collect_data() self.assertTrue( np.alltrue(collected_array[:, global_last_col] == 9999999)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_first_middle_last_col(self): global_first_col = 0 global_middle_col = self.mpi_array.globalshape[1] // 2 global_last_col = self.mpi_array.globalshape[1] - 1 self.mpi_array[:, global_first_col] = 9999999 self.data[:, global_first_col] = 9999999 self.mpi_array[:, global_middle_col] = 6666666 self.data[:, global_middle_col] = 6666666 self.mpi_array[:, global_last_col] = 3333333 self.data[:, global_last_col] = 3333333 collected_array = self.mpi_array.collect_data() self.assertTrue( np.alltrue(collected_array[:, global_first_col] == 9999999)) self.assertTrue( np.alltrue(collected_array[:, global_middle_col] == 6666666)) self.assertTrue( np.alltrue(collected_array[:, global_last_col] == 3333333)) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_setitem_indexing_modify_individual_locations(self): min_row, min_col = 0, 0 mid_row = self.mpi_array.globalshape[0] // 2 mid_col = self.mpi_array.globalshape[1] // 2 max_row = self.mpi_array.globalshape[0] - 1 max_col = self.mpi_array.globalshape[1] - 1 self.mpi_array[min_row, min_col] = -1 self.data[min_row, min_col] = -1 self.mpi_array[min_row, mid_col] = -2 self.data[min_row, mid_col] = -2 self.mpi_array[min_row, max_col] = -3 self.data[min_row, max_col] = -3 self.mpi_array[mid_row, min_col] = -4 self.data[mid_row, min_col] = -4 self.mpi_array[mid_row, mid_col] = -5 self.data[mid_row, mid_col] = -5 self.mpi_array[mid_row, max_col] = -6 self.data[mid_row, max_col] = -6 self.mpi_array[max_row, min_col] = -7 self.data[max_row, min_col] = -7 self.mpi_array[max_row, mid_col] = -8 self.data[max_row, mid_col] = -8 self.mpi_array[max_row, max_col] = -9 self.data[max_row, max_col] = -9 collected_array = self.mpi_array.collect_data() self.assertEqual(-1, collected_array[min_row, min_col]) self.assertEqual(-2, collected_array[min_row, mid_col]) self.assertEqual(-3, collected_array[min_row, max_col]) self.assertEqual(-4, collected_array[mid_row, min_col]) self.assertEqual(-5, collected_array[mid_row, mid_col]) self.assertEqual(-6, collected_array[mid_row, max_col]) self.assertEqual(-7, collected_array[max_row, min_col]) self.assertEqual(-8, collected_array[max_row, mid_col]) self.assertEqual(-9, collected_array[max_row, max_col]) #Matches numpy result self.assertTrue(np.alltrue(collected_array == self.data)) def test_custom_getitem_indexing_exceptions_behavior(self): #Check Index Error for index outside global range with self.assertRaises(IndexError): shape_axis0, _ = self.mpi_array.globalshape self.mpi_array[shape_axis0 + 1] with self.assertRaises(IndexError): _, shape_axis1 = self.mpi_array.globalshape self.mpi_array[shape_axis1 + 1] #Check Index Error for index with more dims than distributed array with self.assertRaises(IndexError): ndims = len(self.mpi_array.globalshape) over_index = tuple([0] * (ndims + 1)) self.mpi_array[over_index] #Check Not Supported Error is thrown when non int/slice/tuple key provided with self.assertRaises(NotSupportedError): self.mpi_array[[0, 1]] def test_custom_getitem_full_copy_return(self): returned_array = self.mpi_array[:] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.mpi_array.globalshape) self.assertEqual(returned_array.globalsize, self.mpi_array.globalsize) self.assertEqual(returned_array.globalnbytes, self.mpi_array.globalnbytes) self.assertEqual(returned_array.globalndim, self.mpi_array.globalndim) self.assertEqual(returned_array.shape, self.data.shape) self.assertEqual(returned_array.size, self.data.size) self.assertEqual(returned_array.nbytes, self.data.nbytes) self.assertEqual(returned_array.ndim, self.data.ndim) self.assertTrue(np.alltrue(returned_array == self.data)) def test_custom_getitem_first_row_return(self): first_row = 0 returned_array = self.mpi_array[first_row] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[first_row].shape) self.assertEqual(returned_array.globalsize, self.data[first_row].size) self.assertEqual(returned_array.globalnbytes, self.data[first_row].nbytes) self.assertEqual(returned_array.globalndim, self.data[first_row].ndim) self.assertEqual(returned_array.shape, self.data[first_row].shape) self.assertEqual(returned_array.size, self.data[first_row].size) self.assertEqual(returned_array.nbytes, self.data[first_row].nbytes) self.assertEqual(returned_array.ndim, self.data[first_row].ndim) self.assertTrue(np.alltrue(returned_array == self.data[first_row])) def test_custom_getitem_middle_row_slice_return(self): returned_array = self.mpi_array[2:3] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[2:3].shape) self.assertEqual(returned_array.globalsize, self.data[2:3].size) self.assertEqual(returned_array.globalndim, self.data[2:4].ndim) self.assertEqual(returned_array.shape, self.data[2:3].shape) self.assertEqual(returned_array.size, self.data[2:3].size) self.assertEqual(returned_array.nbytes, self.data[2:3].nbytes) self.assertEqual(returned_array.ndim, self.data[2:3].ndim) self.assertTrue(np.alltrue(returned_array == self.data[2:3])) def test_custom_getitem_last_row_return(self): last_row = self.mpi_array.globalshape[0] - 1 returned_array = self.mpi_array[last_row] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[last_row].shape) self.assertEqual(returned_array.globalsize, self.data[last_row].size) self.assertEqual(returned_array.globalnbytes, self.data[last_row].nbytes) self.assertEqual(returned_array.globalndim, self.data[last_row].ndim) self.assertEqual(returned_array.shape, self.data[last_row].shape) self.assertEqual(returned_array.size, self.data[last_row].size) self.assertEqual(returned_array.nbytes, self.data[last_row].nbytes) self.assertEqual(returned_array.ndim, self.data[last_row].ndim) self.assertTrue(np.alltrue(returned_array == self.data[last_row])) def test_custom_getitem_first_half_rows_return(self): first_row = 0 middle_row = self.mpi_array.globalshape[0] // 2 returned_array = self.mpi_array[first_row:middle_row] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[first_row:middle_row].shape) self.assertEqual(returned_array.globalsize, self.data[first_row:middle_row].size) self.assertEqual(returned_array.globalnbytes, self.data[first_row:middle_row].nbytes) self.assertEqual(returned_array.globalndim, self.data[first_row:middle_row].ndim) self.assertEqual(returned_array.shape, self.data[first_row:middle_row].shape) self.assertEqual(returned_array.size, self.data[first_row:middle_row].size) self.assertEqual(returned_array.nbytes, self.data[first_row:middle_row].nbytes) self.assertEqual(returned_array.ndim, self.data[first_row:middle_row].ndim) self.assertTrue(np.alltrue(returned_array == self.data[first_row:middle_row])) def test_custom_getitem_last_half_rows_return(self): middle_row = self.mpi_array.globalshape[0] // 2 last_row = self.mpi_array.globalshape[0] - 1 returned_array = self.mpi_array[middle_row:last_row] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[middle_row:last_row].shape) self.assertEqual(returned_array.globalsize, self.data[middle_row:last_row].size) self.assertEqual(returned_array.globalnbytes, self.data[middle_row:last_row].nbytes) self.assertEqual(returned_array.globalndim, self.data[middle_row:last_row].ndim) self.assertEqual(returned_array.shape, self.data[middle_row:last_row].shape) self.assertEqual(returned_array.size, self.data[middle_row:last_row].size) self.assertEqual(returned_array.nbytes, self.data[middle_row:last_row].nbytes) self.assertEqual(returned_array.ndim, self.data[middle_row:last_row].ndim) self.assertTrue(np.alltrue(returned_array == self.data[middle_row:last_row])) def test_custom_getitem_first_column_return(self): first_col = 0 returned_array = self.mpi_array[:, first_col] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[:, first_col].shape) self.assertEqual(returned_array.globalsize, self.data[:, first_col].size) self.assertEqual(returned_array.globalnbytes, self.data[:, first_col].nbytes) self.assertEqual(returned_array.globalndim, self.data[:, first_col].ndim) self.assertEqual(returned_array.shape, self.data[:, first_col].shape) self.assertEqual(returned_array.size, self.data[:, first_col].size) self.assertEqual(returned_array.nbytes, self.data[:, first_col].nbytes) self.assertEqual(returned_array.ndim, self.data[:, first_col].ndim) self.assertTrue(np.alltrue(returned_array == self.data[:, first_col])) def test_custom_getitem_middle_column_return(self): returned_array = self.mpi_array[:, 2:3] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[:, 2:3].shape) self.assertEqual(returned_array.globalsize, self.data[:, 2:3].size) self.assertEqual(returned_array.globalndim, self.data[:, 2:3].ndim) self.assertEqual(returned_array.shape, self.data[:, 2:3].shape) self.assertEqual(returned_array.size, self.data[:, 2:3].size) self.assertEqual(returned_array.nbytes, self.data[:, 2:3].nbytes) self.assertEqual(returned_array.ndim, self.data[:, 2:3].ndim) self.assertTrue(np.alltrue(returned_array == self.data[:, 2:3])) def test_custom_getitem_last_column_return(self): last_col = self.mpi_array.globalshape[1] - 1 returned_array = self.mpi_array[:, last_col] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[:, last_col].shape) self.assertEqual(returned_array.globalsize, self.data[:, last_col].size) self.assertEqual(returned_array.globalndim, self.data[:, last_col].ndim) self.assertEqual(returned_array.shape, self.data[:, last_col].shape) self.assertEqual(returned_array.size, self.data[:, last_col].size) self.assertEqual(returned_array.nbytes, self.data[:, last_col].nbytes) self.assertEqual(returned_array.ndim, self.data[:, last_col].ndim) self.assertTrue(np.alltrue(returned_array == self.data[:, last_col])) def test_custom_getitem_first_half_columns_return(self): first_col = 0 middle_col = (self.mpi_array.globalshape[1] - 1) // 2 returned_array = self.mpi_array[:, first_col:middle_col] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[:, first_col:middle_col].shape) self.assertEqual(returned_array.globalsize, self.data[:, first_col:middle_col].size) self.assertEqual(returned_array.globalndim, self.data[:, first_col:middle_col].ndim) self.assertEqual(returned_array.shape, self.data[:, first_col:middle_col].shape) self.assertEqual(returned_array.size, self.data[:, first_col:middle_col].size) self.assertEqual(returned_array.nbytes, self.data[:, first_col:middle_col].nbytes) self.assertEqual(returned_array.ndim, self.data[:, first_col:middle_col].ndim) self.assertTrue(np.alltrue(returned_array == self.data[:, first_col:middle_col])) def test_custom_getitem_last_half_columns_column_return(self): middle_col = (self.mpi_array.globalshape[1] - 1) // 2 last_col = self.mpi_array.globalshape[1] - 1 returned_array = self.mpi_array[:, middle_col:last_col] self.assertTrue(isinstance(returned_array, mpi_np.MPIArray)) self.assertTrue(isinstance(returned_array, Replicated)) self.assertEqual(returned_array.comm, self.mpi_array.comm) self.assertEqual(returned_array.dist, 'r') self.assertTrue(returned_array.comm_dims is None) self.assertTrue(returned_array.comm_coord is None) self.assertTrue(returned_array.local_to_global is None) self.assertEqual(returned_array.globalshape, self.data[:, middle_col:last_col].shape) self.assertEqual(returned_array.globalsize, self.data[:, middle_col:last_col].size) self.assertEqual(returned_array.globalndim, self.data[:, middle_col:last_col].ndim) self.assertEqual(returned_array.shape, self.data[:, middle_col:last_col].shape) self.assertEqual(returned_array.size, self.data[:, middle_col:last_col].size) self.assertEqual(returned_array.nbytes, self.data[:, middle_col:last_col].nbytes) self.assertEqual(returned_array.ndim, self.data[:, middle_col:last_col].ndim) self.assertTrue(np.alltrue(returned_array == self.data[:, middle_col:last_col])) class MPIArrayIndexingReplicatedTest(MPIArrayIndexingDefaultTest): def create_setUp_parms(self): parms = {} parms['comm'] = MPI.COMM_WORLD # Replicated distribution parms['dist'] = 'r' parms['data'] = np.arange(25).reshape(5,5) return parms if __name__ == '__main__': unittest.main()

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null

0

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8

7112339d9f8c40bb3ef6d0924fddf5d32a577330

781,624

py

Python

src/evLexer.py

ccRlVDSyBZT1UK/ev-as

0b114578011fdbdab8eb73829fcf4c7bd97b8759

[ "MIT" ]

null

src/evLexer.py

ccRlVDSyBZT1UK/ev-as

0b114578011fdbdab8eb73829fcf4c7bd97b8759

[ "MIT" ]

null

src/evLexer.py

ccRlVDSyBZT1UK/ev-as

0b114578011fdbdab8eb73829fcf4c7bd97b8759

[ "MIT" ]

null

# Generated from ev.g4 by ANTLR 4.9.3 from antlr4 import * from io import StringIO import sys if sys.version_info[1] > 5: from typing import TextIO else: from typing.io import TextIO def serializedATN(): with StringIO() as buf: buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\17") buf.write("\u58df\b\1\4\2\t\2\4\3\t\3\4\4\t\4\4\5\t\5\4\6\t\6\4\7") buf.write("\t\7\4\b\t\b\4\t\t\t\4\n\t\n\4\13\t\13\4\f\t\f\4\r\t\r") buf.write("\4\16\t\16\4\17\t\17\4\20\t\20\4\21\t\21\4\22\t\22\4\23") buf.write("\t\23\4\24\t\24\4\25\t\25\4\26\t\26\4\27\t\27\4\30\t\30") buf.write("\4\31\t\31\4\32\t\32\4\33\t\33\4\34\t\34\4\35\t\35\4\36") buf.write("\t\36\4\37\t\37\4 \t \4!\t!\4\"\t\"\4#\t#\4$\t$\4%\t%") buf.write("\4&\t&\4\'\t\'\4(\t(\4)\t)\4*\t*\4+\t+\4,\t,\4-\t-\4.") buf.write("\t.\4/\t/\4\60\t\60\4\61\t\61\4\62\t\62\4\63\t\63\4\64") buf.write("\t\64\4\65\t\65\3\2\3\2\3\3\3\3\3\4\3\4\3\5\6\5s\n\5\r") buf.write("\5\16\5t\3\5\3\5\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") buf.write("\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6") buf.write("\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3\6\3") 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buf.write("\5=\37\2\u027e\u027f\5;\36\2\u027f\u0280\5U+\2\u0280\u0281") buf.write("\5\63\32\2\u0281\u0282\5I%\2\u0282\u0283\59\35\2\u0283") buf.write("\u0284\5? \2\u0284\u5853\3\2\2\2\u0285\u0286\5U+\2\u0286") buf.write("\u0287\5\61\31\2\u0287\u0288\5+\26\2\u0288\u0289\5U+\2") buf.write("\u0289\u028a\5+\26\2\u028a\u028b\5\67\34\2\u028b\u028c") buf.write("\5!\21\2\u028c\u028d\5-\27\2\u028d\u028e\5=\37\2\u028e") buf.write("\u028f\5+\26\2\u028f\u0290\5+\26\2\u0290\u0291\5U+\2\u0291") buf.write("\u0292\5\63\32\2\u0292\u0293\5I%\2\u0293\u0294\59\35\2") buf.write("\u0294\u0295\5? \2\u0295\u5853\3\2\2\2\u0296\u0297\5U") buf.write("+\2\u0297\u0298\5\61\31\2\u0298\u0299\5+\26\2\u0299\u029a") buf.write("\5U+\2\u029a\u029b\5+\26\2\u029b\u029c\5\67\34\2\u029c") buf.write("\u029d\5!\21\2\u029d\u029e\5-\27\2\u029e\u029f\5=\37\2") buf.write("\u029f\u02a0\5;\36\2\u02a0\u02a1\5U+\2\u02a1\u02a2\5%") buf.write("\23\2\u02a2\u02a3\5!\21\2\u02a3\u02a4\5\67\34\2\u02a4") 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buf.write("\2\u02f2\u02f3\5U+\2\u02f3\u02f4\5C\"\2\u02f4\u02f5\5") buf.write(")\25\2\u02f5\u02f6\5E#\2\u02f6\u02f7\5)\25\2\u02f7\u02f8") buf.write("\5G$\2\u02f8\u5853\3\2\2\2\u02f9\u02fa\5U+\2\u02fa\u02fb") buf.write("\5G$\2\u02fb\u02fc\5C\"\2\u02fc\u02fd\5!\21\2\u02fd\u02fe") buf.write("\5\61\31\2\u02fe\u02ff\5;\36\2\u02ff\u0300\5)\25\2\u0300") buf.write("\u0301\5C\"\2\u0301\u0302\5U+\2\u0302\u0303\5+\26\2\u0303") buf.write("\u0304\5\67\34\2\u0304\u0305\5!\21\2\u0305\u0306\5-\27") buf.write("\2\u0306\u0307\5U+\2\u0307\u0308\5%\23\2\u0308\u0309\5") buf.write("/\30\2\u0309\u030a\5)\25\2\u030a\u030b\5%\23\2\u030b\u030c") buf.write("\5\65\33\2\u030c\u5853\3\2\2\2\u030d\u030e\5U+\2\u030e") buf.write("\u030f\5\61\31\2\u030f\u0310\5+\26\2\u0310\u0311\5U+\2") buf.write("\u0311\u0312\5G$\2\u0312\u0313\5C\"\2\u0313\u0314\5U+") buf.write("\2\u0314\u0315\5+\26\2\u0315\u0316\5\67\34\2\u0316\u0317") buf.write("\5!\21\2\u0317\u0318\5-\27\2\u0318\u0319\5=\37\2\u0319") buf.write("\u031a\5;\36\2\u031a\u031b\5U+\2\u031b\u031c\5\63\32\2") buf.write("\u031c\u031d\5I%\2\u031d\u031e\59\35\2\u031e\u031f\5?") buf.write(" \2\u031f\u5853\3\2\2\2\u0320\u0321\5U+\2\u0321\u0322") buf.write("\5\61\31\2\u0322\u0323\5+\26\2\u0323\u0324\5U+\2\u0324") buf.write("\u0325\5G$\2\u0325\u0326\5C\"\2\u0326\u0327\5U+\2\u0327") buf.write("\u0328\5+\26\2\u0328\u0329\5\67\34\2\u0329\u032a\5!\21") buf.write("\2\u032a\u032b\5-\27\2\u032b\u032c\5=\37\2\u032c\u032d") buf.write("\5+\26\2\u032d\u032e\5+\26\2\u032e\u032f\5U+\2\u032f\u0330") buf.write("\5\63\32\2\u0330\u0331\5I%\2\u0331\u0332\59\35\2\u0332") buf.write("\u0333\5? \2\u0333\u5853\3\2\2\2\u0334\u0335\5U+\2\u0335") buf.write("\u0336\5\61\31\2\u0336\u0337\5+\26\2\u0337\u0338\5U+\2") buf.write("\u0338\u0339\5G$\2\u0339\u033a\5C\"\2\u033a\u033b\5U+") buf.write("\2\u033b\u033c\5+\26\2\u033c\u033d\5\67\34\2\u033d\u033e") buf.write("\5!\21\2\u033e\u033f\5-\27\2\u033f\u0340\5=\37\2\u0340") buf.write("\u0341\5;\36\2\u0341\u0342\5U+\2\u0342\u0343\5%\23\2\u0343") buf.write("\u0344\5!\21\2\u0344\u0345\5\67\34\2\u0345\u0346\5\67") buf.write("\34\2\u0346\u5853\3\2\2\2\u0347\u0348\5U+\2\u0348\u0349") buf.write("\5\61\31\2\u0349\u034a\5+\26\2\u034a\u034b\5U+\2\u034b") buf.write("\u034c\5G$\2\u034c\u034d\5C\"\2\u034d\u034e\5U+\2\u034e") buf.write("\u034f\5+\26\2\u034f\u0350\5\67\34\2\u0350\u0351\5!\21") buf.write("\2\u0351\u0352\5-\27\2\u0352\u0353\5=\37\2\u0353\u0354") buf.write("\5+\26\2\u0354\u0355\5+\26\2\u0355\u0356\5U+\2\u0356\u0357") buf.write("\5%\23\2\u0357\u0358\5!\21\2\u0358\u0359\5\67\34\2\u0359") buf.write("\u035a\5\67\34\2\u035a\u5853\3\2\2\2\u035b\u035c\5U+\2") buf.write("\u035c\u035d\5!\21\2\u035d\u035e\5\'\24\2\u035e\u035f") buf.write("\5\'\24\2\u035f\u0360\5U+\2\u0360\u0361\5M\'\2\u0361\u0362") buf.write("\5\65\33\2\u0362\u5853\3\2\2\2\u0363\u0364\5U+\2\u0364") buf.write("\u0365\5E#\2\u0365\u0366\5I%\2\u0366\u0367\5#\22\2\u0367") 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buf.write("\2\u03b5\u03b6\5\67\34\2\u03b6\u03b7\5\65\33\2\u03b7\u03b8") buf.write("\59\35\2\u03b8\u03b9\5E#\2\u03b9\u03ba\5-\27\2\u03ba\u03bb") buf.write("\5U+\2\u03bb\u03bc\5!\21\2\u03bc\u03bd\5\67\34\2\u03bd") buf.write("\u03be\5\67\34\2\u03be\u03bf\5? \2\u03bf\u03c0\5I%\2\u03c0") buf.write("\u03c1\5G$\2\u03c1\u03c2\5U+\2\u03c2\u03c3\5? \2\u03c3") buf.write("\u03c4\59\35\2\u03c4\u03c5\5E#\2\u03c5\u5853\3\2\2\2\u03c6") buf.write("\u03c7\5U+\2\u03c7\u03c8\5G$\2\u03c8\u03c9\5!\21\2\u03c9") buf.write("\u03ca\5\67\34\2\u03ca\u03cb\5\65\33\2\u03cb\u03cc\59") buf.write("\35\2\u03cc\u03cd\5E#\2\u03cd\u03ce\5-\27\2\u03ce\u03cf") buf.write("\5U+\2\u03cf\u03d0\5? \2\u03d0\u03d1\59\35\2\u03d1\u03d2") buf.write("\5E#\2\u03d2\u5853\3\2\2\2\u03d3\u03d4\5U+\2\u03d4\u03d5") buf.write("\5G$\2\u03d5\u03d6\5!\21\2\u03d6\u03d7\5\67\34\2\u03d7") buf.write("\u03d8\5\65\33\2\u03d8\u03d9\59\35\2\u03d9\u03da\5E#\2") buf.write("\u03da\u03db\5-\27\2\u03db\u03dc\5U+\2\u03dc\u03dd\5#") buf.write("\22\2\u03dd\u03de\5G$\2\u03de\u03df\5=\37\2\u03df\u03e0") buf.write("\5M\'\2\u03e0\u03e1\5)\25\2\u03e1\u03e2\5C\"\2\u03e2\u03e3") buf.write("\5U+\2\u03e3\u03e4\5!\21\2\u03e4\u03e5\5? \2\u03e5\u03e6") buf.write("\5? \2\u03e6\u03e7\5)\25\2\u03e7\u03e8\5!\21\2\u03e8\u03e9") buf.write("\5C\"\2\u03e9\u5853\3\2\2\2\u03ea\u03eb\5U+\2\u03eb\u03ec") buf.write("\5G$\2\u03ec\u03ed\5!\21\2\u03ed\u03ee\5\67\34\2\u03ee") buf.write("\u03ef\5\65\33\2\u03ef\u03f0\59\35\2\u03f0\u03f1\5E#\2") buf.write("\u03f1\u03f2\5-\27\2\u03f2\u03f3\5U+\2\u03f3\u03f4\5;") buf.write("\36\2\u03f4\u03f5\5-\27\2\u03f5\u03f6\5U+\2\u03f6\u03f7") buf.write("\5? \2\u03f7\u03f8\5=\37\2\u03f8\u03f9\5\65\33\2\u03f9") buf.write("\u03fa\5)\25\2\u03fa\u03fb\5U+\2\u03fb\u03fc\5;\36\2\u03fc") buf.write("\u03fd\5!\21\2\u03fd\u03fe\59\35\2\u03fe\u03ff\5)\25\2") buf.write("\u03ff\u5853\3\2\2\2\u0400\u0401\5U+\2\u0401\u0402\5G") buf.write("$\2\u0402\u0403\5!\21\2\u0403\u0404\5\67\34\2\u0404\u0405") buf.write("\5\65\33\2\u0405\u0406\59\35\2\u0406\u0407\5E#\2\u0407") buf.write("\u0408\5-\27\2\u0408\u5853\3\2\2\2\u0409\u040a\5U+\2\u040a") buf.write("\u040b\5G$\2\u040b\u040c\5!\21\2\u040c\u040d\5\67\34\2") buf.write("\u040d\u040e\5\65\33\2\u040e\u040f\59\35\2\u040f\u0410") buf.write("\5E#\2\u0410\u0411\5-\27\2\u0411\u0412\5U+\2\u0412\u0413") buf.write("\5E#\2\u0413\u0414\5? \2\u0414\u5853\3\2\2\2\u0415\u0416") buf.write("\5U+\2\u0416\u0417\5G$\2\u0417\u0418\5!\21\2\u0418\u0419") buf.write("\5\67\34\2\u0419\u041a\5\65\33\2\u041a\u041b\59\35\2\u041b") buf.write("\u041c\5E#\2\u041c\u041d\5-\27\2\u041d\u041e\5U+\2\u041e") buf.write("\u041f\5E#\2\u041f\u0420\5? \2\u0420\u0421\5U+\2\u0421") buf.write("\u0422\5!\21\2\u0422\u0423\5I%\2\u0423\u0424\5G$\2\u0424") buf.write("\u0425\5=\37\2\u0425\u5853\3\2\2\2\u0426\u0427\5U+\2\u0427") buf.write("\u0428\5G$\2\u0428\u0429\5!\21\2\u0429\u042a\5\67\34\2") buf.write("\u042a\u042b\5\65\33\2\u042b\u042c\59\35\2\u042c\u042d") buf.write("\5E#\2\u042d\u042e\5-\27\2\u042e\u042f\5U+\2\u042f\u0430") buf.write("\5;\36\2\u0430\u0431\5=\37\2\u0431\u0432\5E#\2\u0432\u0433") buf.write("\5\65\33\2\u0433\u0434\5\61\31\2\u0434\u0435\5? \2\u0435") buf.write("\u5853\3\2\2\2\u0436\u0437\5U+\2\u0437\u0438\5G$\2\u0438") buf.write("\u0439\5!\21\2\u0439\u043a\5\67\34\2\u043a\u043b\5\65") buf.write("\33\2\u043b\u043c\59\35\2\u043c\u043d\5E#\2\u043d\u043e") buf.write("\5-\27\2\u043e\u043f\5U+\2\u043f\u0440\5%\23\2\u0440\u0441") buf.write("\5=\37\2\u0441\u0442\5;\36\2\u0442\u0443\5U+\2\u0443\u0444") buf.write("\5E#\2\u0444\u0445\5\61\31\2\u0445\u0446\5=\37\2\u0446") buf.write("\u5853\3\2\2\2\u0447\u0448\5U+\2\u0448\u0449\5G$\2\u0449") buf.write("\u044a\5!\21\2\u044a\u044b\5\67\34\2\u044b\u044c\5\65") buf.write("\33\2\u044c\u044d\59\35\2\u044d\u044e\5E#\2\u044e\u044f") buf.write("\5-\27\2\u044f\u0450\5U+\2\u0450\u0451\5!\21\2\u0451\u0452") buf.write("\5I%\2\u0452\u0453\5G$\2\u0453\u0454\5=\37\2\u0454\u0455") buf.write("\5-\27\2\u0455\u0456\5)\25\2\u0456\u0457\5G$\2\u0457\u5853") buf.write("\3\2\2\2\u0458\u0459\5U+\2\u0459\u045a\5!\21\2\u045a\u045b") buf.write("\5#\22\2\u045b\u045c\5U+\2\u045c\u045d\5\65\33\2\u045d") buf.write("\u045e\5)\25\2\u045e\u045f\5Q)\2\u045f\u0460\5M\'\2\u0460") buf.write("\u0461\5!\21\2\u0461\u0462\5\61\31\2\u0462\u0463\5G$\2") buf.write("\u0463\u5853\3\2\2\2\u0464\u0465\5U+\2\u0465\u0466\5!") buf.write("\21\2\u0466\u0467\5#\22\2\u0467\u0468\5U+\2\u0468\u0469") buf.write("\5\65\33\2\u0469\u046a\5)\25\2\u046a\u046b\5Q)\2\u046b") buf.write("\u046c\5U+\2\u046c\u046d\5G$\2\u046d\u046e\5\61\31\2\u046e") buf.write("\u046f\59\35\2\u046f\u0470\5)\25\2\u0470\u0471\5U+\2\u0471") buf.write("\u0472\5M\'\2\u0472\u0473\5!\21\2\u0473\u0474\5\61\31") buf.write("\2\u0474\u0475\5G$\2\u0475\u5853\3\2\2\2\u0476\u0477\5") buf.write("U+\2\u0477\u0478\5\67\34\2\u0478\u0479\5!\21\2\u0479\u047a") buf.write("\5E#\2\u047a\u047b\5G$\2\u047b\u047c\5U+\2\u047c\u047d") buf.write("\5\65\33\2\u047d\u047e\5)\25\2\u047e\u047f\5Q)\2\u047f") buf.write("\u0480\5M\'\2\u0480\u0481\5!\21\2\u0481\u0482\5\61\31") buf.write("\2\u0482\u0483\5G$\2\u0483\u5853\3\2\2\2\u0484\u0485\5") buf.write("U+\2\u0485\u0486\5;\36\2\u0486\u0487\5)\25\2\u0487\u0488") buf.write("\5O(\2\u0488\u0489\5G$\2\u0489\u048a\5U+\2\u048a\u048b") buf.write("\5!\21\2\u048b\u048c\5;\36\2\u048c\u048d\59\35\2\u048d") buf.write("\u048e\5U+\2\u048e\u048f\5\67\34\2\u048f\u0490\5!\21\2") buf.write("\u0490\u0491\5E#\2\u0491\u0492\5G$\2\u0492\u0493\5U+\2") buf.write("\u0493\u0494\5\65\33\2\u0494\u0495\5)\25\2\u0495\u0496") buf.write("\5Q)\2\u0496\u0497\5M\'\2\u0497\u0498\5!\21\2\u0498\u0499") buf.write("\5\61\31\2\u0499\u049a\5G$\2\u049a\u5853\3\2\2\2\u049b") buf.write("\u049c\5U+\2\u049c\u049d\5G$\2\u049d\u049e\5!\21\2\u049e") buf.write("\u049f\5\67\34\2\u049f\u04a0\5\65\33\2\u04a0\u04a1\5U") buf.write("+\2\u04a1\u04a2\5=\37\2\u04a2\u04a3\5? \2\u04a3\u04a4") buf.write("\5)\25\2\u04a4\u04a5\5;\36\2\u04a5\u5853\3\2\2\2\u04a6") buf.write("\u04a7\5U+\2\u04a7\u04a8\5G$\2\u04a8\u04a9\5!\21\2\u04a9") buf.write("\u04aa\5\67\34\2\u04aa\u04ab\5\65\33\2\u04ab\u04ac\5U") buf.write("+\2\u04ac\u04ad\5%\23\2\u04ad\u04ae\5\67\34\2\u04ae\u04af") buf.write("\5=\37\2\u04af\u04b0\5E#\2\u04b0\u04b1\5)\25\2\u04b1\u5853") buf.write("\3\2\2\2\u04b2\u04b3\5U+\2\u04b3\u04b4\5G$\2\u04b4\u04b5") buf.write("\5!\21\2\u04b5\u04b6\5\67\34\2\u04b6\u04b7\5\65\33\2\u04b7") buf.write("\u04b8\5U+\2\u04b8\u04b9\5%\23\2\u04b9\u04ba\5\67\34\2") buf.write("\u04ba\u04bb\5=\37\2\u04bb\u04bc\5E#\2\u04bc\u04bd\5)") buf.write("\25\2\u04bd\u04be\5U+\2\u04be\u04bf\5;\36\2\u04bf\u04c0") buf.write("\5=\37\2\u04c0\u04c1\5U+\2\u04c1\u04c2\5%\23\2\u04c2\u04c3") buf.write("\5\67\34\2\u04c3\u04c4\5)\25\2\u04c4\u04c5\5!\21\2\u04c5") buf.write("\u04c6\5C\"\2\u04c6\u5853\3\2\2\2\u04c7\u04c8\5U+\2\u04c8") buf.write("\u04c9\5G$\2\u04c9\u04ca\5!\21\2\u04ca\u04cb\5\67\34\2") buf.write("\u04cb\u04cc\5\65\33\2\u04cc\u04cd\5U+\2\u04cd\u04ce\5") buf.write("\65\33\2\u04ce\u04cf\5)\25\2\u04cf\u04d0\5Q)\2\u04d0\u04d1") buf.write("\5M\'\2\u04d1\u04d2\5!\21\2\u04d2\u04d3\5\61\31\2\u04d3") buf.write("\u04d4\5G$\2\u04d4\u5853\3\2\2\2\u04d5\u04d6\5U+\2\u04d6") buf.write("\u04d7\5)\25\2\u04d7\u04d8\5!\21\2\u04d8\u04d9\5E#\2\u04d9") buf.write("\u04da\5Q)\2\u04da\u04db\5U+\2\u04db\u04dc\5=\37\2\u04dc") buf.write("\u04dd\5#\22\2\u04dd\u04de\5\63\32\2\u04de\u04df\5U+\2") buf.write("\u04df\u04e0\59\35\2\u04e0\u04e1\5E#\2\u04e1\u04e2\5-") buf.write("\27\2\u04e2\u5853\3\2\2\2\u04e3\u04e4\5U+\2\u04e4\u04e5") buf.write("\5)\25\2\u04e5\u04e6\5!\21\2\u04e6\u04e7\5E#\2\u04e7\u04e8") buf.write("\5Q)\2\u04e8\u04e9\5U+\2\u04e9\u04ea\59\35\2\u04ea\u04eb") buf.write("\5E#\2\u04eb\u04ec\5-\27\2\u04ec\u5853\3\2\2\2\u04ed\u04ee") buf.write("\5U+\2\u04ee\u04ef\5#\22\2\u04ef\u04f0\5=\37\2\u04f0\u04f1") buf.write("\5!\21\2\u04f1\u04f2\5C\"\2\u04f2\u04f3\5\'\24\2\u04f3") buf.write("\u04f4\5U+\2\u04f4\u04f5\59\35\2\u04f5\u04f6\5!\21\2\u04f6") buf.write("\u04f7\5\65\33\2\u04f7\u04f8\5)\25\2\u04f8\u5853\3\2\2") buf.write("\2\u04f9\u04fa\5U+\2\u04fa\u04fb\5\61\31\2\u04fb\u04fc") buf.write("\5;\36\2\u04fc\u04fd\5+\26\2\u04fd\u04fe\5=\37\2\u04fe") buf.write("\u04ff\5#\22\2\u04ff\u0500\5=\37\2\u0500\u0501\5!\21\2") buf.write("\u0501\u0502\5C\"\2\u0502\u0503\5\'\24\2\u0503\u0504\5") buf.write("U+\2\u0504\u0505\59\35\2\u0505\u0506\5!\21\2\u0506\u0507") buf.write("\5\65\33\2\u0507\u0508\5)\25\2\u0508\u5853\3\2\2\2\u0509") buf.write("\u050a\5U+\2\u050a\u050b\5#\22\2\u050b\u050c\5=\37\2\u050c") buf.write("\u050d\5!\21\2\u050d\u050e\5C\"\2\u050e\u050f\5\'\24\2") buf.write("\u050f\u0510\5U+\2\u0510\u0511\5C\"\2\u0511\u0512\5)\25") buf.write("\2\u0512\u0513\5A!\2\u0513\u5853\3\2\2\2\u0514\u0515\5") buf.write("U+\2\u0515\u0516\5#\22\2\u0516\u0517\5=\37\2\u0517\u0518") buf.write("\5!\21\2\u0518\u0519\5C\"\2\u0519\u051a\5\'\24\2\u051a") buf.write("\u051b\5U+\2\u051b\u051c\5C\"\2\u051c\u051d\5)\25\2\u051d") buf.write("\u051e\5A!\2\u051e\u051f\5U+\2\u051f\u0520\5M\'\2\u0520") buf.write("\u0521\5!\21\2\u0521\u0522\5\61\31\2\u0522\u0523\5G$\2") buf.write("\u0523\u5853\3\2\2\2\u0524\u0525\5U+\2\u0525\u0526\5#") buf.write("\22\2\u0526\u0527\5=\37\2\u0527\u0528\5!\21\2\u0528\u0529") buf.write("\5C\"\2\u0529\u052a\5\'\24\2\u052a\u052b\5U+\2\u052b\u052c") buf.write("\59\35\2\u052c\u052d\5E#\2\u052d\u052e\5-\27\2\u052e\u5853") buf.write("\3\2\2\2\u052f\u0530\5U+\2\u0530\u0531\5#\22\2\u0531\u0532") buf.write("\5=\37\2\u0532\u0533\5!\21\2\u0533\u0534\5C\"\2\u0534") buf.write("\u0535\5\'\24\2\u0535\u0536\5U+\2\u0536\u0537\5)\25\2") buf.write("\u0537\u0538\5;\36\2\u0538\u0539\5\'\24\2\u0539\u053a") buf.write("\5U+\2\u053a\u053b\5M\'\2\u053b\u053c\5!\21\2\u053c\u053d") buf.write("\5\61\31\2\u053d\u053e\5G$\2\u053e\u5853\3\2\2\2\u053f") buf.write("\u0540\5U+\2\u0540\u0541\5)\25\2\u0541\u0542\5!\21\2\u0542") buf.write("\u0543\5E#\2\u0543\u0544\5Q)\2\u0544\u0545\5U+\2\u0545") buf.write("\u0546\5#\22\2\u0546\u0547\5=\37\2\u0547\u0548\5!\21\2") buf.write("\u0548\u0549\5C\"\2\u0549\u054a\5\'\24\2\u054a\u054b\5") buf.write("U+\2\u054b\u054c\59\35\2\u054c\u054d\5E#\2\u054d\u054e") buf.write("\5-\27\2\u054e\u5853\3\2\2\2\u054f\u0550\5U+\2\u0550\u0551") buf.write("\5)\25\2\u0551\u0552\5!\21\2\u0552\u0553\5E#\2\u0553\u0554") buf.write("\5Q)\2\u0554\u0555\5U+\2\u0555\u0556\5\61\31\2\u0556\u0557") buf.write("\5;\36\2\u0557\u0558\5+\26\2\u0558\u0559\5=\37\2\u0559") buf.write("\u055a\5#\22\2\u055a\u055b\5=\37\2\u055b\u055c\5!\21\2") buf.write("\u055c\u055d\5C\"\2\u055d\u055e\5\'\24\2\u055e\u055f\5") buf.write("U+\2\u055f\u0560\59\35\2\u0560\u0561\5E#\2\u0561\u0562") buf.write("\5-\27\2\u0562\u5853\3\2\2\2\u0563\u0564\5U+\2\u0564\u0565") buf.write("\59\35\2\u0565\u0566\5)\25\2\u0566\u0567\5;\36\2\u0567") buf.write("\u0568\5I%\2\u0568\u0569\5U+\2\u0569\u056a\5C\"\2\u056a") buf.write("\u056b\5)\25\2\u056b\u056c\5A!\2\u056c\u5853\3\2\2\2\u056d") buf.write("\u056e\5U+\2\u056e\u056f\5#\22\2\u056f\u0570\5-\27\2\u0570") buf.write("\u0571\5U+\2\u0571\u0572\5E#\2\u0572\u0573\5%\23\2\u0573") buf.write("\u0574\5C\"\2\u0574\u0575\5=\37\2\u0575\u0576\5\67\34") buf.write("\2\u0576\u0577\5\67\34\2\u0577\u5853\3\2\2\2\u0578\u0579") buf.write("\5U+\2\u0579\u057a\5Q)\2\u057a\u057b\5)\25\2\u057b\u057c") buf.write("\5E#\2\u057c\u057d\5U+\2\u057d\u057e\5;\36\2\u057e\u057f") buf.write("\5=\37\2\u057f\u0580\5U+\2\u0580\u0581\5M\'\2\u0581\u0582") buf.write("\5\61\31\2\u0582\u0583\5;\36\2\u0583\u5853\3\2\2\2\u0584") buf.write("\u0585\5U+\2\u0585\u0586\5-\27\2\u0586\u0587\5I%\2\u0587") buf.write("\u0588\5\61\31\2\u0588\u0589\5;\36\2\u0589\u058a\5;\36") buf.write("\2\u058a\u058b\5)\25\2\u058b\u058c\5E#\2\u058c\u058d\5") buf.write("E#\2\u058d\u058e\5U+\2\u058e\u058f\5M\'\2\u058f\u0590") buf.write("\5\61\31\2\u0590\u0591\5;\36\2\u0591\u5853\3\2\2\2\u0592") buf.write("\u0593\5U+\2\u0593\u0594\5#\22\2\u0594\u0595\59\35\2\u0595") buf.write("\u0596\5? \2\u0596\u0597\59\35\2\u0597\u0598\5)\25\2\u0598") buf.write("\u0599\5;\36\2\u0599\u059a\5I%\2\u059a\u059b\5U+\2\u059b") buf.write("\u059c\5\61\31\2\u059c\u059d\5;\36\2\u059d\u059e\5\61") buf.write("\31\2\u059e\u059f\5G$\2\u059f\u5853\3\2\2\2\u05a0\u05a1") buf.write("\5U+\2\u05a1\u05a2\5#\22\2\u05a2\u05a3\59\35\2\u05a3\u05a4") buf.write("\5? \2\u05a4\u05a5\59\35\2\u05a5\u05a6\5)\25\2\u05a6\u05a7") buf.write("\5;\36\2\u05a7\u05a8\5I%\2\u05a8\u05a9\5U+\2\u05a9\u05aa") buf.write("\5\61\31\2\u05aa\u05ab\5;\36\2\u05ab\u05ac\5\61\31\2\u05ac") buf.write("\u05ad\5G$\2\u05ad\u05ae\5U+\2\u05ae\u05af\5)\25\2\u05af") buf.write("\u05b0\5O(\2\u05b0\u5853\3\2\2\2\u05b1\u05b2\5U+\2\u05b2") buf.write("\u05b3\5#\22\2\u05b3\u05b4\59\35\2\u05b4\u05b5\5? \2\u05b5") buf.write("\u05b6\59\35\2\u05b6\u05b7\5)\25\2\u05b7\u05b8\5;\36\2") buf.write("\u05b8\u05b9\5I%\2\u05b9\u05ba\5U+\2\u05ba\u05bb\59\35") buf.write("\2\u05bb\u05bc\5!\21\2\u05bc\u05bd\5\65\33\2\u05bd\u05be") buf.write("\5)\25\2\u05be\u05bf\5U+\2\u05bf\u05c0\5\67\34\2\u05c0") buf.write("\u05c1\5\61\31\2\u05c1\u05c2\5E#\2\u05c2\u05c3\5G$\2\u05c3") buf.write("\u5853\3\2\2\2\u05c4\u05c5\5U+\2\u05c5\u05c6\5#\22\2\u05c6") buf.write("\u05c7\59\35\2\u05c7\u05c8\5? \2\u05c8\u05c9\59\35\2\u05c9") buf.write("\u05ca\5)\25\2\u05ca\u05cb\5;\36\2\u05cb\u05cc\5I%\2\u05cc") buf.write("\u05cd\5U+\2\u05cd\u05ce\59\35\2\u05ce\u05cf\5!\21\2\u05cf") buf.write("\u05d0\5\65\33\2\u05d0\u05d1\5)\25\2\u05d1\u05d2\5U+\2") buf.write("\u05d2\u05d3\5\67\34\2\u05d3\u05d4\5\61\31\2\u05d4\u05d5") buf.write("\5E#\2\u05d5\u05d6\5G$\2\u05d6\u05d7\5Y-\2\u05d7\u05d8") buf.write("\5c\62\2\u05d8\u5853\3\2\2\2\u05d9\u05da\5U+\2\u05da\u05db") buf.write("\5#\22\2\u05db\u05dc\59\35\2\u05dc\u05dd\5? \2\u05dd\u05de") buf.write("\59\35\2\u05de\u05df\5)\25\2\u05df\u05e0\5;\36\2\u05e0") buf.write("\u05e1\5I%\2\u05e1\u05e2\5U+\2\u05e2\u05e3\5E#\2\u05e3") buf.write("\u05e4\5G$\2\u05e4\u05e5\5!\21\2\u05e5\u05e6\5C\"\2\u05e6") buf.write("\u05e7\5G$\2\u05e7\u5853\3\2\2\2\u05e8\u05e9\5U+\2\u05e9") buf.write("\u05ea\5E#\2\u05ea\u05eb\5)\25\2\u05eb\u05ec\5\67\34\2") buf.write("\u05ec\u05ed\5U+\2\u05ed\u05ee\5M\'\2\u05ee\u05ef\5\61") buf.write("\31\2\u05ef\u05f0\5;\36\2\u05f0\u05f1\5U+\2\u05f1\u05f2") buf.write("\5\63\32\2\u05f2\u05f3\5I%\2\u05f3\u05f4\59\35\2\u05f4") buf.write("\u05f5\5? \2\u05f5\u5853\3\2\2\2\u05f6\u05f7\5U+\2\u05f7") buf.write("\u05f8\5#\22\2\u05f8\u05f9\59\35\2\u05f9\u05fa\5? \2\u05fa") buf.write("\u05fb\5\67\34\2\u05fb\u05fc\5\61\31\2\u05fc\u05fd\5E") buf.write("#\2\u05fd\u05fe\5G$\2\u05fe\u05ff\5U+\2\u05ff\u0600\5") buf.write("\61\31\2\u0600\u0601\5;\36\2\u0601\u0602\5\61\31\2\u0602") buf.write("\u0603\5G$\2\u0603\u5853\3\2\2\2\u0604\u0605\5U+\2\u0605") buf.write("\u0606\5#\22\2\u0606\u0607\59\35\2\u0607\u0608\5? \2\u0608") buf.write("\u0609\5\67\34\2\u0609\u060a\5\61\31\2\u060a\u060b\5E") buf.write("#\2\u060b\u060c\5G$\2\u060c\u060d\5U+\2\u060d\u060e\5") buf.write("\61\31\2\u060e\u060f\5;\36\2\u060f\u0610\5\61\31\2\u0610") buf.write("\u0611\5G$\2\u0611\u0612\5U+\2\u0612\u0613\5)\25\2\u0613") buf.write("\u0614\5O(\2\u0614\u5853\3\2\2\2\u0615\u0616\5U+\2\u0616") buf.write("\u0617\5#\22\2\u0617\u0618\59\35\2\u0618\u0619\5? \2\u0619") buf.write("\u061a\5\67\34\2\u061a\u061b\5\61\31\2\u061b\u061c\5E") buf.write("#\2\u061c\u061d\5G$\2\u061d\u061e\5U+\2\u061e\u061f\5") buf.write("9\35\2\u061f\u0620\5!\21\2\u0620\u0621\5\65\33\2\u0621") buf.write("\u0622\5)\25\2\u0622\u0623\5U+\2\u0623\u0624\5\67\34\2") buf.write("\u0624\u0625\5\61\31\2\u0625\u0626\5E#\2\u0626\u0627\5") buf.write("G$\2\u0627\u5853\3\2\2\2\u0628\u0629\5U+\2\u0629\u062a") buf.write("\5#\22\2\u062a\u062b\59\35\2\u062b\u062c\5? \2\u062c\u062d") buf.write("\5\67\34\2\u062d\u062e\5\61\31\2\u062e\u062f\5E#\2\u062f") buf.write("\u0630\5G$\2\u0630\u0631\5U+\2\u0631\u0632\5E#\2\u0632") buf.write("\u0633\5G$\2\u0633\u0634\5!\21\2\u0634\u0635\5C\"\2\u0635") buf.write("\u0636\5G$\2\u0636\u5853\3\2\2\2\u0637\u0638\5U+\2\u0638") buf.write("\u0639\5#\22\2\u0639\u063a\59\35\2\u063a\u063b\5? \2\u063b") buf.write("\u063c\59\35\2\u063c\u063d\5)\25\2\u063d\u063e\5;\36\2") buf.write("\u063e\u063f\5I%\2\u063f\u0640\5U+\2\u0640\u0641\5/\30") buf.write("\2\u0641\u0642\5K&\2\u0642\u0643\5U+\2\u0643\u0644\5E") buf.write("#\2\u0644\u0645\5G$\2\u0645\u0646\5!\21\2\u0646\u0647") buf.write("\5C\"\2\u0647\u0648\5G$\2\u0648\u5853\3\2\2\2\u0649\u064a") buf.write("\5U+\2\u064a\u064b\5E#\2\u064b\u064c\5)\25\2\u064c\u064d") buf.write("\5U+\2\u064d\u064e\5? \2\u064e\u064f\5\67\34\2\u064f\u0650") buf.write("\5!\21\2\u0650\u0651\5Q)\2\u0651\u5853\3\2\2\2\u0652\u0653") buf.write("\5U+\2\u0653\u0654\5E#\2\u0654\u0655\5)\25\2\u0655\u0656") buf.write("\5U+\2\u0656\u0657\5E#\2\u0657\u0658\5G$\2\u0658\u0659") buf.write("\5=\37\2\u0659\u065a\5? \2\u065a\u5853\3\2\2\2\u065b\u065c") buf.write("\5U+\2\u065c\u065d\5E#\2\u065d\u065e\5)\25\2\u065e\u065f") buf.write("\5U+\2\u065f\u0660\5M\'\2\u0660\u0661\5!\21\2\u0661\u0662") buf.write("\5\61\31\2\u0662\u0663\5G$\2\u0663\u5853\3\2\2\2\u0664") buf.write("\u0665\5U+\2\u0665\u0666\5K&\2\u0666\u0667\5=\37\2\u0667") buf.write("\u0668\5\61\31\2\u0668\u0669\5%\23\2\u0669\u066a\5)\25") buf.write("\2\u066a\u066b\5U+\2\u066b\u066c\5? \2\u066c\u066d\5\67") buf.write("\34\2\u066d\u066e\5!\21\2\u066e\u066f\5Q)\2\u066f\u5853") buf.write("\3\2\2\2\u0670\u0671\5U+\2\u0671\u0672\5K&\2\u0672\u0673") buf.write("\5=\37\2\u0673\u0674\5\61\31\2\u0674\u0675\5%\23\2\u0675") buf.write("\u0676\5)\25\2\u0676\u0677\5U+\2\u0677\u0678\5M\'\2\u0678") buf.write("\u0679\5!\21\2\u0679\u067a\5\61\31\2\u067a\u067b\5G$\2") buf.write("\u067b\u5853\3\2\2\2\u067c\u067d\5U+\2\u067d\u067e\5)") buf.write("\25\2\u067e\u067f\5!\21\2\u067f\u0680\5E#\2\u0680\u0681") buf.write("\5Q)\2\u0681\u0682\5U+\2\u0682\u0683\5K&\2\u0683\u0684") buf.write("\5=\37\2\u0684\u0685\5\61\31\2\u0685\u0686\5%\23\2\u0686") buf.write("\u0687\5)\25\2\u0687\u0688\5U+\2\u0688\u0689\59\35\2\u0689") buf.write("\u068a\5E#\2\u068a\u068b\5-\27\2\u068b\u5853\3\2\2\2\u068c") buf.write("\u068d\5U+\2\u068d\u068e\59\35\2\u068e\u068f\5)\25\2\u068f") buf.write("\u0690\5U+\2\u0690\u0691\5? \2\u0691\u0692\5\67\34\2\u0692") buf.write("\u0693\5!\21\2\u0693\u0694\5Q)\2\u0694\u5853\3\2\2\2\u0695") buf.write("\u0696\5U+\2\u0696\u0697\59\35\2\u0697\u0698\5)\25\2\u0698") buf.write("\u0699\5U+\2\u0699\u069a\5M\'\2\u069a\u069b\5!\21\2\u069b") buf.write("\u069c\5\61\31\2\u069c\u069d\5G$\2\u069d\u5853\3\2\2\2") buf.write("\u069e\u069f\5U+\2\u069f\u06a0\5E#\2\u06a0\u06a1\5;\36") buf.write("\2\u06a1\u06a2\5\'\24\2\u06a2\u06a3\5U+\2\u06a3\u06a4") buf.write("\5\61\31\2\u06a4\u06a5\5;\36\2\u06a5\u06a6\5\61\31\2\u06a6") buf.write("\u06a7\5G$\2\u06a7\u06a8\5\61\31\2\u06a8\u06a9\5!\21\2") buf.write("\u06a9\u06aa\5\67\34\2\u06aa\u06ab\5U+\2\u06ab\u06ac\5") buf.write("K&\2\u06ac\u06ad\5=\37\2\u06ad\u06ae\5\67\34\2\u06ae\u06af") buf.write("\5U+\2\u06af\u06b0\5E#\2\u06b0\u06b1\5)\25\2\u06b1\u06b2") buf.write("\5G$\2\u06b2\u5853\3\2\2\2\u06b3\u06b4\5U+\2\u06b4\u06b5") buf.write("\5#\22\2\u06b5\u06b6\5-\27\2\u06b6\u06b7\59\35\2\u06b7") buf.write("\u06b8\5U+\2\u06b8\u06b9\5? \2\u06b9\u06ba\5\67\34\2\u06ba") buf.write("\u06bb\5!\21\2\u06bb\u06bc\5Q)\2\u06bc\u5853\3\2\2\2\u06bd") buf.write("\u06be\5U+\2\u06be\u06bf\5#\22\2\u06bf\u06c0\5-\27\2\u06c0") buf.write("\u06c1\59\35\2\u06c1\u06c2\5U+\2\u06c2\u06c3\5? \2\u06c3") buf.write("\u06c4\5\67\34\2\u06c4\u06c5\5!\21\2\u06c5\u06c6\5Q)\2") buf.write("\u06c6\u06c7\5U+\2\u06c7\u06c8\5%\23\2\u06c8\u06c9\5/") buf.write("\30\2\u06c9\u06ca\5)\25\2\u06ca\u06cb\5%\23\2\u06cb\u06cc") buf.write("\5\65\33\2\u06cc\u5853\3\2\2\2\u06cd\u06ce\5U+\2\u06ce") buf.write("\u06cf\5#\22\2\u06cf\u06d0\5-\27\2\u06d0\u06d1\59\35\2") buf.write("\u06d1\u06d2\5U+\2\u06d2\u06d3\5E#\2\u06d3\u06d4\5G$\2") buf.write("\u06d4\u06d5\5=\37\2\u06d5\u06d6\5? \2\u06d6\u5853\3\2") buf.write("\2\2\u06d7\u06d8\5U+\2\u06d8\u06d9\5#\22\2\u06d9\u06da") buf.write("\5-\27\2\u06da\u06db\59\35\2\u06db\u06dc\5U+\2\u06dc\u06dd") buf.write("\5;\36\2\u06dd\u06de\5=\37\2\u06de\u06df\5M\'\2\u06df") buf.write("\u06e0\5U+\2\u06e0\u06e1\59\35\2\u06e1\u06e2\5!\21\2\u06e2") buf.write("\u06e3\5? \2\u06e3\u06e4\5U+\2\u06e4\u06e5\5? \2\u06e5") buf.write("\u06e6\5\67\34\2\u06e6\u06e7\5!\21\2\u06e7\u06e8\5Q)\2") buf.write("\u06e8\u5853\3\2\2\2\u06e9\u06ea\5U+\2\u06ea\u06eb\5#") buf.write("\22\2\u06eb\u06ec\5-\27\2\u06ec\u06ed\59\35\2\u06ed\u06ee") buf.write("\5U+\2\u06ee\u06ef\5E#\2\u06ef\u06f0\5? \2\u06f0\u06f1") buf.write("\5)\25\2\u06f1\u06f2\5%\23\2\u06f2\u06f3\5\61\31\2\u06f3") buf.write("\u06f4\5!\21\2\u06f4\u06f5\5\67\34\2\u06f5\u06f6\5U+\2") buf.write("\u06f6\u06f7\5E#\2\u06f7\u06f8\5)\25\2\u06f8\u06f9\5G") buf.write("$\2\u06f9\u5853\3\2\2\2\u06fa\u06fb\5U+\2\u06fb\u06fc") buf.write("\5#\22\2\u06fc\u06fd\5-\27\2\u06fd\u06fe\59\35\2\u06fe") buf.write("\u06ff\5U+\2\u06ff\u0700\5E#\2\u0700\u0701\5? \2\u0701") buf.write("\u0702\5)\25\2\u0702\u0703\5%\23\2\u0703\u0704\5\61\31") buf.write("\2\u0704\u0705\5!\21\2\u0705\u0706\5\67\34\2\u0706\u0707") buf.write("\5U+\2\u0707\u0708\5%\23\2\u0708\u0709\5\67\34\2\u0709") buf.write("\u070a\5C\"\2\u070a\u5853\3\2\2\2\u070b\u070c\5U+\2\u070c") buf.write("\u070d\5#\22\2\u070d\u070e\5-\27\2\u070e\u070f\59\35\2") buf.write("\u070f\u0710\5U+\2\u0710\u0711\5+\26\2\u0711\u0712\5!") buf.write("\21\2\u0712\u0713\5\'\24\2\u0713\u0714\5)\25\2\u0714\u0715") buf.write("\5=\37\2\u0715\u0716\5I%\2\u0716\u0717\5G$\2\u0717\u5853") buf.write("\3\2\2\2\u0718\u0719\5U+\2\u0719\u071a\5#\22\2\u071a\u071b") buf.write("\5-\27\2\u071b\u071c\59\35\2\u071c\u071d\5U+\2\u071d\u071e") buf.write("\5+\26\2\u071e\u071f\5!\21\2\u071f\u0720\5\'\24\2\u0720") buf.write("\u0721\5)\25\2\u0721\u0722\5=\37\2\u0722\u0723\5I%\2\u0723") buf.write("\u0724\5G$\2\u0724\u0725\5U+\2\u0725\u0726\5? \2\u0726") buf.write("\u0727\5\67\34\2\u0727\u0728\5!\21\2\u0728\u0729\5Q)\2") buf.write("\u0729\u5853\3\2\2\2\u072a\u072b\5U+\2\u072b\u072c\5#") buf.write("\22\2\u072c\u072d\5-\27\2\u072d\u072e\59\35\2\u072e\u072f") buf.write("\5U+\2\u072f\u0730\5+\26\2\u0730\u0731\5!\21\2\u0731\u0732") buf.write("\5\'\24\2\u0732\u0733\5)\25\2\u0733\u0734\5\61\31\2\u0734") buf.write("\u0735\5;\36\2\u0735\u5853\3\2\2\2\u0736\u0737\5U+\2\u0737") buf.write("\u0738\5#\22\2\u0738\u0739\5-\27\2\u0739\u073a\59\35\2") buf.write("\u073a\u073b\5U+\2\u073b\u073c\5? \2\u073c\u073d\5\67") buf.write("\34\2\u073d\u073e\5!\21\2\u073e\u073f\5Q)\2\u073f\u0740") buf.write("\5)\25\2\u0740\u0741\5C\"\2\u0741\u0742\5U+\2\u0742\u0743") buf.write("\5? \2\u0743\u0744\5!\21\2\u0744\u0745\5I%\2\u0745\u0746") buf.write("\5E#\2\u0746\u0747\5)\25\2\u0747\u5853\3\2\2\2\u0748\u0749") buf.write("\5U+\2\u0749\u074a\5? \2\u074a\u074b\5\67\34\2\u074b\u074c") buf.write("\5!\21\2\u074c\u074d\5Q)\2\u074d\u074e\5)\25\2\u074e\u074f") buf.write("\5C\"\2\u074f\u0750\5U+\2\u0750\u0751\5+\26\2\u0751\u0752") buf.write("\5\61\31\2\u0752\u0753\5)\25\2\u0753\u0754\5\67\34\2\u0754") buf.write("\u0755\5\'\24\2\u0755\u0756\5U+\2\u0756\u0757\5\'\24\2") buf.write("\u0757\u0758\5)\25\2\u0758\u0759\59\35\2\u0759\u075a\5") buf.write("=\37\2\u075a\u075b\5U+\2\u075b\u075c\5#\22\2\u075c\u075d") buf.write("\5-\27\2\u075d\u075e\59\35\2\u075e\u075f\5U+\2\u075f\u0760") buf.write("\5? \2\u0760\u0761\5\67\34\2\u0761\u0762\5!\21\2\u0762") buf.write("\u0763\5Q)\2\u0763\u5853\3\2\2\2\u0764\u0765\5U+\2\u0765") buf.write("\u0766\5%\23\2\u0766\u0767\5G$\2\u0767\u0768\5C\"\2\u0768") buf.write("\u0769\5\67\34\2\u0769\u076a\5U+\2\u076a\u076b\5#\22\2") buf.write("\u076b\u076c\5-\27\2\u076c\u076d\59\35\2\u076d\u076e\5") buf.write("U+\2\u076e\u076f\5+\26\2\u076f\u0770\5\67\34\2\u0770\u0771") buf.write("\5!\21\2\u0771\u0772\5-\27\2\u0772\u0773\5U+\2\u0773\u0774") buf.write("\5E#\2\u0774\u0775\5)\25\2\u0775\u0776\5G$\2\u0776\u5853") buf.write("\3\2\2\2\u0777\u0778\5U+\2\u0778\u0779\5%\23\2\u0779\u077a") buf.write("\5G$\2\u077a\u077b\5C\"\2\u077b\u077c\5\67\34\2\u077c") buf.write("\u077d\5U+\2\u077d\u077e\5#\22\2\u077e\u077f\5-\27\2\u077f") buf.write("\u0780\59\35\2\u0780\u0781\5U+\2\u0781\u0782\5+\26\2\u0782") buf.write("\u0783\5\67\34\2\u0783\u0784\5!\21\2\u0784\u0785\5-\27") buf.write("\2\u0785\u0786\5U+\2\u0786\u0787\5C\"\2\u0787\u0788\5") buf.write(")\25\2\u0788\u0789\5E#\2\u0789\u078a\5)\25\2\u078a\u078b") buf.write("\5G$\2\u078b\u5853\3\2\2\2\u078c\u078d\5U+\2\u078d\u078e") buf.write("\5? \2\u078e\u078f\5)\25\2\u078f\u0790\5C\"\2\u0790\u0791") buf.write("\5!\21\2\u0791\u0792\5? \2\u0792\u0793\5U+\2\u0793\u0794") buf.write("\5\'\24\2\u0794\u0795\5!\21\2\u0795\u0796\5G$\2\u0796") buf.write("\u0797\5!\21\2\u0797\u0798\5U+\2\u0798\u0799\5%\23\2\u0799") buf.write("\u079a\5/\30\2\u079a\u079b\5)\25\2\u079b\u079c\5%\23\2") buf.write("\u079c\u079d\5\65\33\2\u079d\u5853\3\2\2\2\u079e\u079f") buf.write("\5U+\2\u079f\u07a0\5? \2\u07a0\u07a1\5)\25\2\u07a1\u07a2") buf.write("\5C\"\2\u07a2\u07a3\5!\21\2\u07a3\u07a4\5? \2\u07a4\u07a5") buf.write("\5U+\2\u07a5\u07a6\5C\"\2\u07a6\u07a7\5)\25\2\u07a7\u07a8") buf.write("\5%\23\2\u07a8\u07a9\5U+\2\u07a9\u07aa\5E#\2\u07aa\u07ab") buf.write("\5G$\2\u07ab\u07ac\5!\21\2\u07ac\u07ad\5C\"\2\u07ad\u07ae") buf.write("\5G$\2\u07ae\u5853\3\2\2\2\u07af\u07b0\5U+\2\u07b0\u07b1") buf.write("\5? \2\u07b1\u07b2\5)\25\2\u07b2\u07b3\5C\"\2\u07b3\u07b4") buf.write("\5!\21\2\u07b4\u07b5\5? \2\u07b5\u07b6\5U+\2\u07b6\u07b7") buf.write("\5C\"\2\u07b7\u07b8\5)\25\2\u07b8\u07b9\5%\23\2\u07b9") buf.write("\u07ba\5U+\2\u07ba\u07bb\5E#\2\u07bb\u07bc\5G$\2\u07bc") buf.write("\u07bd\5=\37\2\u07bd\u07be\5? \2\u07be\u5853\3\2\2\2\u07bf") buf.write("\u07c0\5U+\2\u07c0\u07c1\5? \2\u07c1\u07c2\5)\25\2\u07c2") buf.write("\u07c3\5C\"\2\u07c3\u07c4\5!\21\2\u07c4\u07c5\5? \2\u07c5") buf.write("\u07c6\5U+\2\u07c6\u07c7\5E#\2\u07c7\u07c8\5!\21\2\u07c8") buf.write("\u07c9\5K&\2\u07c9\u07ca\5)\25\2\u07ca\u5853\3\2\2\2\u07cb") buf.write("\u07cc\5U+\2\u07cc\u07cd\5E#\2\u07cd\u07ce\5;\36\2\u07ce") buf.write("\u07cf\5\'\24\2\u07cf\u07d0\5U+\2\u07d0\u07d1\5%\23\2") buf.write("\u07d1\u07d2\5\67\34\2\u07d2\u07d3\5\61\31\2\u07d3\u07d4") buf.write("\59\35\2\u07d4\u07d5\5!\21\2\u07d5\u07d6\5O(\2\u07d6\u07d7") buf.write("\5U+\2\u07d7\u07d8\5\'\24\2\u07d8\u07d9\5!\21\2\u07d9") buf.write("\u07da\5G$\2\u07da\u07db\5!\21\2\u07db\u07dc\5U+\2\u07dc") buf.write("\u07dd\5\67\34\2\u07dd\u07de\5=\37\2\u07de\u07df\5!\21") buf.write("\2\u07df\u07e0\5\'\24\2\u07e0\u5853\3\2\2\2\u07e1\u07e2") buf.write("\5U+\2\u07e2\u07e3\5=\37\2\u07e3\u07e4\5#\22\2\u07e4\u07e5") buf.write("\5\63\32\2\u07e5\u07e6\5U+\2\u07e6\u07e7\5!\21\2\u07e7") buf.write("\u07e8\5;\36\2\u07e8\u07e9\5\61\31\2\u07e9\u07ea\59\35") buf.write("\2\u07ea\u07eb\5)\25\2\u07eb\u5853\3\2\2\2\u07ec\u07ed") buf.write("\5U+\2\u07ed\u07ee\5=\37\2\u07ee\u07ef\5#\22\2\u07ef\u07f0") buf.write("\5\63\32\2\u07f0\u07f1\5U+\2\u07f1\u07f2\5!\21\2\u07f2") buf.write("\u07f3\5;\36\2\u07f3\u07f4\5\61\31\2\u07f4\u07f5\59\35") buf.write("\2\u07f5\u07f6\5)\25\2\u07f6\u07f7\5U+\2\u07f7\u07f8\5") buf.write("? \2\u07f8\u07f9\5=\37\2\u07f9\u07fa\5E#\2\u07fa\u5853") buf.write("\3\2\2\2\u07fb\u07fc\5U+\2\u07fc\u07fd\5!\21\2\u07fd\u07fe") buf.write("\5;\36\2\u07fe\u07ff\5\61\31\2\u07ff\u0800\59\35\2\u0800") buf.write("\u0801\5)\25\2\u0801\u0802\5U+\2\u0802\u0803\5\67\34\2") buf.write("\u0803\u0804\5!\21\2\u0804\u0805\5#\22\2\u0805\u0806\5") buf.write(")\25\2\u0806\u0807\5\67\34\2\u0807\u5853\3\2\2\2\u0808") buf.write("\u0809\5U+\2\u0809\u080a\5!\21\2\u080a\u080b\5;\36\2\u080b") buf.write("\u080c\5\61\31\2\u080c\u080d\59\35\2\u080d\u080e\5)\25") buf.write("\2\u080e\u080f\5U+\2\u080f\u0810\5\'\24\2\u0810\u0811") buf.write("\5!\21\2\u0811\u0812\5G$\2\u0812\u0813\5!\21\2\u0813\u5853") buf.write("\3\2\2\2\u0814\u0815\5U+\2\u0815\u0816\5=\37\2\u0816\u0817") buf.write("\5#\22\2\u0817\u0818\5\63\32\2\u0818\u0819\5U+\2\u0819") buf.write("\u081a\5!\21\2\u081a\u081b\5;\36\2\u081b\u081c\5\61\31") buf.write("\2\u081c\u081d\59\35\2\u081d\u081e\5)\25\2\u081e\u081f") buf.write("\5U+\2\u081f\u0820\5M\'\2\u0820\u0821\5!\21\2\u0821\u0822") buf.write("\5\61\31\2\u0822\u0823\5G$\2\u0823\u5853\3\2\2\2\u0824") buf.write("\u0825\5U+\2\u0825\u0826\5G$\2\u0826\u0827\5!\21\2\u0827") buf.write("\u0828\5\67\34\2\u0828\u0829\5\65\33\2\u0829\u082a\5U") buf.write("+\2\u082a\u082b\5=\37\2\u082b\u082c\5#\22\2\u082c\u082d") buf.write("\5\63\32\2\u082d\u082e\5U+\2\u082e\u082f\5? \2\u082f\u0830") buf.write("\5!\21\2\u0830\u0831\5I%\2\u0831\u0832\5E#\2\u0832\u0833") buf.write("\5)\25\2\u0833\u0834\5U+\2\u0834\u0835\5!\21\2\u0835\u0836") buf.write("\5\67\34\2\u0836\u0837\5\67\34\2\u0837\u5853\3\2\2\2\u0838") buf.write("\u0839\5U+\2\u0839\u083a\5=\37\2\u083a\u083b\5#\22\2\u083b") buf.write("\u083c\5\63\32\2\u083c\u083d\5U+\2\u083d\u083e\5? \2\u083e") buf.write("\u083f\5!\21\2\u083f\u0840\5I%\2\u0840\u0841\5E#\2\u0841") buf.write("\u0842\5)\25\2\u0842\u0843\5U+\2\u0843\u0844\5!\21\2\u0844") buf.write("\u0845\5\67\34\2\u0845\u0846\5\67\34\2\u0846\u5853\3\2") buf.write("\2\2\u0847\u0848\5U+\2\u0848\u0849\5=\37\2\u0849\u084a") buf.write("\5#\22\2\u084a\u084b\5\63\32\2\u084b\u084c\5U+\2\u084c") buf.write("\u084d\5? \2\u084d\u084e\5!\21\2\u084e\u084f\5I%\2\u084f") buf.write("\u0850\5E#\2\u0850\u0851\5)\25\2\u0851\u0852\5U+\2\u0852") buf.write("\u0853\5%\23\2\u0853\u0854\5\67\34\2\u0854\u0855\5)\25") buf.write("\2\u0855\u0856\5!\21\2\u0856\u0857\5C\"\2\u0857\u0858") buf.write("\5U+\2\u0858\u0859\5!\21\2\u0859\u085a\5\67\34\2\u085a") buf.write("\u085b\5\67\34\2\u085b\u5853\3\2\2\2\u085c\u085d\5U+\2") buf.write("\u085d\u085e\5=\37\2\u085e\u085f\5#\22\2\u085f\u0860\5") buf.write("\63\32\2\u0860\u0861\5U+\2\u0861\u0862\5? \2\u0862\u0863") buf.write("\5!\21\2\u0863\u0864\5I%\2\u0864\u0865\5E#\2\u0865\u0866") buf.write("\5)\25\2\u0866\u5853\3\2\2\2\u0867\u0868\5U+\2\u0868\u0869") buf.write("\5=\37\2\u0869\u086a\5#\22\2\u086a\u086b\5\63\32\2\u086b") buf.write("\u086c\5U+\2\u086c\u086d\5? \2\u086d\u086e\5!\21\2\u086e") buf.write("\u086f\5I%\2\u086f\u0870\5E#\2\u0870\u0871\5)\25\2\u0871") buf.write("\u0872\5U+\2\u0872\u0873\5%\23\2\u0873\u0874\5\67\34\2") buf.write("\u0874\u0875\5)\25\2\u0875\u0876\5!\21\2\u0876\u0877\5") buf.write("C\"\2\u0877\u5853\3\2\2\2\u0878\u0879\5U+\2\u0879\u087a") buf.write("\5=\37\2\u087a\u087b\5#\22\2\u087b\u087c\5\63\32\2\u087c") buf.write("\u087d\5U+\2\u087d\u087e\5!\21\2\u087e\u087f\5\'\24\2") buf.write("\u087f\u0880\5\'\24\2\u0880\u5853\3\2\2\2\u0881\u0882") buf.write("\5U+\2\u0882\u0883\5=\37\2\u0883\u0884\5#\22\2\u0884\u0885") buf.write("\5\63\32\2\u0885\u0886\5U+\2\u0886\u0887\5\'\24\2\u0887") buf.write("\u0888\5)\25\2\u0888\u0889\5\67\34\2\u0889\u5853\3\2\2") buf.write("\2\u088a\u088b\5U+\2\u088b\u088c\5K&\2\u088c\u088d\5!") buf.write("\21\2\u088d\u088e\5;\36\2\u088e\u088f\5\61\31\2\u088f") buf.write("\u0890\5E#\2\u0890\u0891\5/\30\2\u0891\u0892\5U+\2\u0892") buf.write("\u0893\5\'\24\2\u0893\u0894\5I%\2\u0894\u0895\59\35\2") buf.write("\u0895\u0896\59\35\2\u0896\u0897\5Q)\2\u0897\u0898\5U") buf.write("+\2\u0898\u0899\5=\37\2\u0899\u089a\5#\22\2\u089a\u089b") buf.write("\5\63\32\2\u089b\u089c\5U+\2\u089c\u089d\5!\21\2\u089d") buf.write("\u089e\5\'\24\2\u089e\u089f\5\'\24\2\u089f\u5853\3\2\2") buf.write("\2\u08a0\u08a1\5U+\2\u08a1\u08a2\5K&\2\u08a2\u08a3\5!") buf.write("\21\2\u08a3\u08a4\5;\36\2\u08a4\u08a5\5\61\31\2\u08a5") buf.write("\u08a6\5E#\2\u08a6\u08a7\5/\30\2\u08a7\u08a8\5U+\2\u08a8") buf.write("\u08a9\5\'\24\2\u08a9\u08aa\5I%\2\u08aa\u08ab\59\35\2") buf.write("\u08ab\u08ac\59\35\2\u08ac\u08ad\5Q)\2\u08ad\u08ae\5U") buf.write("+\2\u08ae\u08af\5=\37\2\u08af\u08b0\5#\22\2\u08b0\u08b1") buf.write("\5\63\32\2\u08b1\u08b2\5U+\2\u08b2\u08b3\5\'\24\2\u08b3") buf.write("\u08b4\5)\25\2\u08b4\u08b5\5\67\34\2\u08b5\u5853\3\2\2") buf.write("\2\u08b6\u08b7\5U+\2\u08b7\u08b8\5G$\2\u08b8\u08b9\5I") buf.write("%\2\u08b9\u08ba\5C\"\2\u08ba\u08bb\5;\36\2\u08bb\u08bc") buf.write("\5U+\2\u08bc\u08bd\5/\30\2\u08bd\u08be\5)\25\2\u08be\u08bf") buf.write("\5C\"\2\u08bf\u08c0\5=\37\2\u08c0\u08c1\5U+\2\u08c1\u08c2") buf.write("\5E#\2\u08c2\u08c3\5\61\31\2\u08c3\u08c4\5G$\2\u08c4\u08c5") buf.write("\5)\25\2\u08c5\u5853\3\2\2\2\u08c6\u08c7\5U+\2\u08c7\u08c8") buf.write("\5G$\2\u08c8\u08c9\5!\21\2\u08c9\u08ca\5\67\34\2\u08ca") buf.write("\u08cb\5\65\33\2\u08cb\u08cc\5U+\2\u08cc\u08cd\5=\37\2") buf.write("\u08cd\u08ce\5#\22\2\u08ce\u08cf\5\63\32\2\u08cf\u08d0") buf.write("\5U+\2\u08d0\u08d1\5E#\2\u08d1\u08d2\5G$\2\u08d2\u08d3") buf.write("\5!\21\2\u08d3\u08d4\5C\"\2\u08d4\u08d5\5G$\2\u08d5\u5853") buf.write("\3\2\2\2\u08d6\u08d7\5U+\2\u08d7\u08d8\5G$\2\u08d8\u08d9") buf.write("\5!\21\2\u08d9\u08da\5\67\34\2\u08da\u08db\5\65\33\2\u08db") buf.write("\u08dc\5U+\2\u08dc\u08dd\5=\37\2\u08dd\u08de\5#\22\2\u08de") buf.write("\u08df\5\63\32\2\u08df\u08e0\5U+\2\u08e0\u08e1\5E#\2\u08e1") buf.write("\u08e2\5G$\2\u08e2\u08e3\5!\21\2\u08e3\u08e4\5C\"\2\u08e4") buf.write("\u08e5\5G$\2\u08e5\u08e6\5U+\2\u08e6\u08e7\5G$\2\u08e7") buf.write("\u08e8\5I%\2\u08e8\u08e9\5C\"\2\u08e9\u08ea\5;\36\2\u08ea") buf.write("\u08eb\5U+\2\u08eb\u08ec\5;\36\2\u08ec\u08ed\5=\37\2\u08ed") buf.write("\u08ee\5G$\2\u08ee\u5853\3\2\2\2\u08ef\u08f0\5U+\2\u08f0") buf.write("\u08f1\5G$\2\u08f1\u08f2\5!\21\2\u08f2\u08f3\5\67\34\2") buf.write("\u08f3\u08f4\5\65\33\2\u08f4\u08f5\5U+\2\u08f5\u08f6\5") buf.write("=\37\2\u08f6\u08f7\5#\22\2\u08f7\u08f8\5\63\32\2\u08f8") buf.write("\u08f9\5U+\2\u08f9\u08fa\5)\25\2\u08fa\u08fb\5;\36\2\u08fb") buf.write("\u08fc\5\'\24\2\u08fc\u5853\3\2\2\2\u08fd\u08fe\5U+\2") buf.write("\u08fe\u08ff\5G$\2\u08ff\u0900\5!\21\2\u0900\u0901\5\67") buf.write("\34\2\u0901\u0902\5\65\33\2\u0902\u0903\5U+\2\u0903\u0904") buf.write("\5E#\2\u0904\u0905\5G$\2\u0905\u0906\5!\21\2\u0906\u0907") buf.write("\5C\"\2\u0907\u0908\5G$\2\u0908\u5853\3\2\2\2\u0909\u090a") buf.write("\5U+\2\u090a\u090b\5)\25\2\u090b\u090c\5K&\2\u090c\u090d") buf.write("\5)\25\2\u090d\u090e\5;\36\2\u090e\u090f\5G$\2\u090f\u0910") buf.write("\5U+\2\u0910\u0911\5E#\2\u0911\u0912\5G$\2\u0912\u0913") buf.write("\5!\21\2\u0913\u0914\5C\"\2\u0914\u0915\5G$\2\u0915\u5853") buf.write("\3\2\2\2\u0916\u0917\5U+\2\u0917\u0918\5G$\2\u0918\u0919") buf.write("\5!\21\2\u0919\u091a\5\67\34\2\u091a\u091b\5\65\33\2\u091b") buf.write("\u091c\5U+\2\u091c\u091d\5)\25\2\u091d\u091e\5;\36\2\u091e") buf.write("\u091f\5\'\24\2\u091f\u5853\3\2\2\2\u0920\u0921\5U+\2") buf.write("\u0921\u0922\5)\25\2\u0922\u0923\5K&\2\u0923\u0924\5)") buf.write("\25\2\u0924\u0925\5;\36\2\u0925\u0926\5G$\2\u0926\u0927") buf.write("\5U+\2\u0927\u0928\5)\25\2\u0928\u0929\5;\36\2\u0929\u092a") buf.write("\5\'\24\2\u092a\u5853\3\2\2\2\u092b\u092c\5U+\2\u092c") buf.write("\u092d\5? \2\u092d\u092e\5\67\34\2\u092e\u092f\5!\21\2") buf.write("\u092f\u0930\5Q)\2\u0930\u0931\5)\25\2\u0931\u0932\5C") buf.write("\"\2\u0932\u0933\5U+\2\u0933\u0934\5? \2\u0934\u0935\5") buf.write("=\37\2\u0935\u0936\5E#\2\u0936\u0937\5U+\2\u0937\u0938") buf.write("\5-\27\2\u0938\u0939\5)\25\2\u0939\u093a\5G$\2\u093a\u5853") buf.write("\3\2\2\2\u093b\u093c\5U+\2\u093c\u093d\5=\37\2\u093d\u093e") buf.write("\5#\22\2\u093e\u093f\5\63\32\2\u093f\u0940\5U+\2\u0940") buf.write("\u0941\5? \2\u0941\u0942\5=\37\2\u0942\u0943\5E#\2\u0943") buf.write("\u0944\5U+\2\u0944\u0945\5-\27\2\u0945\u0946\5)\25\2\u0946") buf.write("\u0947\5G$\2\u0947\u5853\3\2\2\2\u0948\u0949\5U+\2\u0949") buf.write("\u094a\5? \2\u094a\u094b\5\67\34\2\u094b\u094c\5!\21\2") buf.write("\u094c\u094d\5Q)\2\u094d\u094e\5)\25\2\u094e\u094f\5C") buf.write("\"\2\u094f\u0950\5U+\2\u0950\u0951\5? \2\u0951\u0952\5") buf.write("=\37\2\u0952\u0953\5E#\2\u0953\u0954\5U+\2\u0954\u0955") buf.write("\5=\37\2\u0955\u0956\5+\26\2\u0956\u0957\5+\26\2\u0957") buf.write("\u0958\5E#\2\u0958\u0959\5)\25\2\u0959\u095a\5G$\2\u095a") buf.write("\u095b\5U+\2\u095b\u095c\5E#\2\u095c\u095d\5)\25\2\u095d") buf.write("\u095e\5G$\2\u095e\u5853\3\2\2\2\u095f\u0960\5U+\2\u0960") buf.write("\u0961\5? \2\u0961\u0962\5\67\34\2\u0962\u0963\5!\21\2") buf.write("\u0963\u0964\5Q)\2\u0964\u0965\5)\25\2\u0965\u0966\5C") buf.write("\"\2\u0966\u0967\5U+\2\u0967\u0968\5\'\24\2\u0968\u0969") buf.write("\5\61\31\2\u0969\u096a\5C\"\2\u096a\u096b\5U+\2\u096b") buf.write("\u096c\5-\27\2\u096c\u096d\5)\25\2\u096d\u096e\5G$\2\u096e") buf.write("\u5853\3\2\2\2\u096f\u0970\5U+\2\u0970\u0971\5;\36\2\u0971") buf.write("\u0972\5=\37\2\u0972\u0973\5G$\2\u0973\u0974\5U+\2\u0974") buf.write("\u0975\5S*\2\u0975\u0976\5=\37\2\u0976\u0977\5;\36\2\u0977") buf.write("\u0978\5)\25\2\u0978\u0979\5U+\2\u0979\u097a\5\'\24\2") buf.write("\u097a\u097b\5)\25\2\u097b\u097c\5\67\34\2\u097c\u097d") buf.write("\5U+\2\u097d\u097e\5E#\2\u097e\u097f\5)\25\2\u097f\u0980") buf.write("\5G$\2\u0980\u5853\3\2\2\2\u0981\u0982\5U+\2\u0982\u0983") buf.write("\59\35\2\u0983\u0984\5=\37\2\u0984\u0985\5K&\2\u0985\u0986") buf.write("\5)\25\2\u0986\u0987\5U+\2\u0987\u0988\5%\23\2\u0988\u0989") buf.write("\5=\37\2\u0989\u098a\5\'\24\2\u098a\u098b\5)\25\2\u098b") buf.write("\u098c\5U+\2\u098c\u098d\5%\23\2\u098d\u098e\5/\30\2\u098e") buf.write("\u098f\5!\21\2\u098f\u0990\5;\36\2\u0990\u0991\5-\27\2") buf.write("\u0991\u0992\5)\25\2\u0992\u5853\3\2\2\2\u0993\u0994\5") buf.write("U+\2\u0994\u0995\59\35\2\u0995\u0996\5=\37\2\u0996\u0997") buf.write("\5K&\2\u0997\u0998\5)\25\2\u0998\u0999\5U+\2\u0999\u099a") buf.write("\5%\23\2\u099a\u099b\5=\37\2\u099b\u099c\5\'\24\2\u099c") buf.write("\u099d\5)\25\2\u099d\u099e\5U+\2\u099e\u099f\5-\27\2\u099f") buf.write("\u09a0\5)\25\2\u09a0\u09a1\5G$\2\u09a1\u5853\3\2\2\2\u09a2") buf.write("\u09a3\5U+\2\u09a3\u09a4\5? \2\u09a4\u09a5\5!\21\2\u09a5") buf.write("\u09a6\5\61\31\2\u09a6\u09a7\5C\"\2\u09a7\u09a8\5U+\2") buf.write("\u09a8\u09a9\5=\37\2\u09a9\u09aa\5#\22\2\u09aa\u09ab\5") buf.write("\63\32\2\u09ab\u09ac\5\61\31\2\u09ac\u09ad\5\'\24\2\u09ad") buf.write("\u09ae\5U+\2\u09ae\u09af\5E#\2\u09af\u09b0\5)\25\2\u09b0") buf.write("\u09b1\5G$\2\u09b1\u5853\3\2\2\2\u09b2\u09b3\5U+\2\u09b3") buf.write("\u09b4\5)\25\2\u09b4\u09b5\5K&\2\u09b5\u09b6\5)\25\2\u09b6") buf.write("\u09b7\5;\36\2\u09b7\u09b8\5G$\2\u09b8\u09b9\5U+\2\u09b9") buf.write("\u09ba\5\'\24\2\u09ba\u09bb\5!\21\2\u09bb\u09bc\5G$\2") buf.write("\u09bc\u09bd\5!\21\2\u09bd\u5853\3\2\2\2\u09be\u09bf\5") buf.write("U+\2\u09bf\u09c0\5)\25\2\u09c0\u09c1\5K&\2\u09c1\u09c2") buf.write("\5)\25\2\u09c2\u09c3\5;\36\2\u09c3\u09c4\5G$\2\u09c4\u09c5") buf.write("\5U+\2\u09c5\u09c6\5\'\24\2\u09c6\u09c7\5!\21\2\u09c7") buf.write("\u09c8\5G$\2\u09c8\u09c9\5!\21\2\u09c9\u09ca\5U+\2\u09ca") buf.write("\u09cb\5)\25\2\u09cb\u09cc\5;\36\2\u09cc\u09cd\5\'\24") buf.write("\2\u09cd\u5853\3\2\2\2\u09ce\u09cf\5U+\2\u09cf\u09d0\5") buf.write("E#\2\u09d0\u09d1\5? \2\u09d1\u09d2\5U+\2\u09d2\u09d3\5") buf.write(")\25\2\u09d3\u09d4\5K&\2\u09d4\u09d5\5)\25\2\u09d5\u09d6") buf.write("\5;\36\2\u09d6\u09d7\5G$\2\u09d7\u09d8\5U+\2\u09d8\u09d9") buf.write("\5\'\24\2\u09d9\u09da\5!\21\2\u09da\u09db\5G$\2\u09db") buf.write("\u09dc\5!\21\2\u09dc\u09dd\5U+\2\u09dd\u09de\5)\25\2\u09de") buf.write("\u09df\5;\36\2\u09df\u09e0\5\'\24\2\u09e0\u5853\3\2\2") buf.write("\2\u09e1\u09e2\5U+\2\u09e2\u09e3\5E#\2\u09e3\u09e4\5%") buf.write("\23\2\u09e4\u09e5\5)\25\2\u09e5\u09e6\5;\36\2\u09e6\u09e7") buf.write("\5)\25\2\u09e7\u09e8\5U+\2\u09e8\u09e9\5%\23\2\u09e9\u09ea") buf.write("\5/\30\2\u09ea\u09eb\5!\21\2\u09eb\u09ec\5;\36\2\u09ec") buf.write("\u09ed\5-\27\2\u09ed\u09ee\5)\25\2\u09ee\u09ef\5U+\2\u09ef") buf.write("\u09f0\5\67\34\2\u09f0\u09f1\5!\21\2\u09f1\u09f2\5#\22") 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buf.write("\2\u0c93\u0c94\59\35\2\u0c94\u0c95\5=\37\2\u0c95\u0c96") buf.write("\5;\36\2\u0c96\u5853\3\2\2\2\u0c97\u0c98\5U+\2\u0c98\u0c99") buf.write("\5!\21\2\u0c99\u0c9a\5\'\24\2\u0c9a\u0c9b\5\'\24\2\u0c9b") buf.write("\u0c9c\5U+\2\u0c9c\u0c9d\5G$\2\u0c9d\u0c9e\5!\21\2\u0c9e") buf.write("\u0c9f\59\35\2\u0c9f\u0ca0\5!\21\2\u0ca0\u0ca1\5-\27\2") buf.write("\u0ca1\u0ca2\5=\37\2\u0ca2\u5853\3\2\2\2\u0ca3\u0ca4\5") buf.write("U+\2\u0ca4\u0ca5\5%\23\2\u0ca5\u0ca6\5/\30\2\u0ca6\u0ca7") buf.write("\5-\27\2\u0ca7\u0ca8\5U+\2\u0ca8\u0ca9\5? \2\u0ca9\u0caa") buf.write("\5=\37\2\u0caa\u0cab\5\65\33\2\u0cab\u0cac\5)\25\2\u0cac") buf.write("\u0cad\5U+\2\u0cad\u0cae\5M\'\2\u0cae\u0caf\5!\21\2\u0caf") buf.write("\u0cb0\5S*\2\u0cb0\u0cb1\5!\21\2\u0cb1\u5853\3\2\2\2\u0cb2") buf.write("\u0cb3\5U+\2\u0cb3\u0cb4\5%\23\2\u0cb4\u0cb5\5/\30\2\u0cb5") buf.write("\u0cb6\5\65\33\2\u0cb6\u0cb7\5U+\2\u0cb7\u0cb8\5? \2\u0cb8") buf.write("\u0cb9\5=\37\2\u0cb9\u0cba\5\65\33\2\u0cba\u0cbb\5)\25") buf.write("\2\u0cbb\u0cbc\5U+\2\u0cbc\u0cbd\5M\'\2\u0cbd\u0cbe\5") buf.write("!\21\2\u0cbe\u0cbf\5S*\2\u0cbf\u0cc0\5!\21\2\u0cc0\u5853") buf.write("\3\2\2\2\u0cc1\u0cc2\5U+\2\u0cc2\u0cc3\5%\23\2\u0cc3\u0cc4") buf.write("\5/\30\2\u0cc4\u0cc5\5\65\33\2\u0cc5\u0cc6\5U+\2\u0cc6") buf.write("\u0cc7\5? \2\u0cc7\u0cc8\5=\37\2\u0cc8\u0cc9\5\65\33\2") buf.write("\u0cc9\u0cca\5)\25\2\u0cca\u0ccb\5U+\2\u0ccb\u0ccc\5M") buf.write("\'\2\u0ccc\u0ccd\5!\21\2\u0ccd\u0cce\5S*\2\u0cce\u0ccf") buf.write("\5!\21\2\u0ccf\u0cd0\5U+\2\u0cd0\u0cd1\5-\27\2\u0cd1\u0cd2") buf.write("\5C\"\2\u0cd2\u0cd3\5=\37\2\u0cd3\u0cd4\5I%\2\u0cd4\u0cd5") buf.write("\5? \2\u0cd5\u5853\3\2\2\2\u0cd6\u0cd7\5U+\2\u0cd7\u0cd8") buf.write("\5!\21\2\u0cd8\u0cd9\5? \2\u0cd9\u0cda\5? \2\u0cda\u0cdb") buf.write("\5C\"\2\u0cdb\u0cdc\5=\37\2\u0cdc\u0cdd\5K&\2\u0cdd\u0cde") buf.write("\5)\25\2\u0cde\u0cdf\5U+\2\u0cdf\u0ce0\5? \2\u0ce0\u0ce1") buf.write("\5=\37\2\u0ce1\u0ce2\5\61\31\2\u0ce2\u0ce3\5E#\2\u0ce3") 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buf.write("\u0d0c\5!\21\2\u0d0c\u0d0d\5G$\2\u0d0d\u0d0e\5/\30\2\u0d0e") buf.write("\u0d0f\5)\25\2\u0d0f\u0d10\5C\"\2\u0d10\u5853\3\2\2\2") buf.write("\u0d11\u0d12\5U+\2\u0d12\u0d13\5E#\2\u0d13\u0d14\5)\25") buf.write("\2\u0d14\u0d15\5G$\2\u0d15\u0d16\5U+\2\u0d16\u0d17\5M") buf.write("\'\2\u0d17\u0d18\5)\25\2\u0d18\u0d19\5!\21\2\u0d19\u0d1a") buf.write("\5G$\2\u0d1a\u0d1b\5/\30\2\u0d1b\u0d1c\5)\25\2\u0d1c\u0d1d") buf.write("\5C\"\2\u0d1d\u5853\3\2\2\2\u0d1e\u0d1f\5U+\2\u0d1f\u0d20") buf.write("\5I%\2\u0d20\u0d21\5? \2\u0d21\u0d22\5\'\24\2\u0d22\u0d23") buf.write("\5!\21\2\u0d23\u0d24\5G$\2\u0d24\u0d25\5)\25\2\u0d25\u0d26") buf.write("\5U+\2\u0d26\u0d27\5M\'\2\u0d27\u0d28\5)\25\2\u0d28\u0d29") buf.write("\5!\21\2\u0d29\u0d2a\5G$\2\u0d2a\u0d2b\5/\30\2\u0d2b\u0d2c") buf.write("\5)\25\2\u0d2c\u0d2d\5C\"\2\u0d2d\u5853\3\2\2\2\u0d2e") buf.write("\u0d2f\5U+\2\u0d2f\u0d30\5-\27\2\u0d30\u0d31\5)\25\2\u0d31") buf.write("\u0d32\5G$\2\u0d32\u0d33\5U+\2\u0d33\u0d34\59\35\2\u0d34") buf.write("\u0d35\5!\21\2\u0d35\u0d36\5? \2\u0d36\u0d37\5U+\2\u0d37") buf.write("\u0d38\5? \2\u0d38\u0d39\5=\37\2\u0d39\u0d3a\5E#\2\u0d3a") buf.write("\u5853\3\2\2\2\u0d3b\u0d3c\5U+\2\u0d3c\u0d3d\5-\27\2\u0d3d") buf.write("\u0d3e\5)\25\2\u0d3e\u0d3f\5G$\2\u0d3f\u0d40\5U+\2\u0d40") buf.write("\u0d41\5G$\2\u0d41\u0d42\5)\25\2\u0d42\u0d43\59\35\2\u0d43") buf.write("\u0d44\5=\37\2\u0d44\u0d45\5G$\2\u0d45\u0d46\5\61\31\2") buf.write("\u0d46\u0d47\5U+\2\u0d47\u0d48\5? \2\u0d48\u0d49\5=\37") buf.write("\2\u0d49\u0d4a\5\65\33\2\u0d4a\u0d4b\5)\25\2\u0d4b\u0d4c") buf.write("\5U+\2\u0d4c\u0d4d\5;\36\2\u0d4d\u0d4e\5I%\2\u0d4e\u0d4f") buf.write("\59\35\2\u0d4f\u5853\3\2\2\2\u0d50\u0d51\5U+\2\u0d51\u0d52") buf.write("\5E#\2\u0d52\u0d53\5)\25\2\u0d53\u0d54\5G$\2\u0d54\u0d55") buf.write("\5U+\2\u0d55\u0d56\59\35\2\u0d56\u0d57\5!\21\2\u0d57\u0d58") buf.write("\5? \2\u0d58\u0d59\5U+\2\u0d59\u0d5a\5? \2\u0d5a\u0d5b") buf.write("\5C\"\2\u0d5b\u0d5c\5=\37\2\u0d5c\u0d5d\5%\23\2\u0d5d") buf.write("\u5853\3\2\2\2\u0d5e\u0d5f\5U+\2\u0d5f\u0d60\5+\26\2\u0d60") buf.write("\u0d61\5\61\31\2\u0d61\u0d62\5;\36\2\u0d62\u0d63\5\61") buf.write("\31\2\u0d63\u0d64\5E#\2\u0d64\u0d65\5/\30\2\u0d65\u0d66") buf.write("\5U+\2\u0d66\u0d67\59\35\2\u0d67\u0d68\5!\21\2\u0d68\u0d69") buf.write("\5? \2\u0d69\u0d6a\5U+\2\u0d6a\u0d6b\5? \2\u0d6b\u0d6c") buf.write("\5C\"\2\u0d6c\u0d6d\5=\37\2\u0d6d\u0d6e\5%\23\2\u0d6e") buf.write("\u5853\3\2\2\2\u0d6f\u0d70\5U+\2\u0d70\u0d71\5M\'\2\u0d71") buf.write("\u0d72\5\61\31\2\u0d72\u0d73\5+\26\2\u0d73\u0d74\5\61") buf.write("\31\2\u0d74\u0d75\5U+\2\u0d75\u0d76\5!\21\2\u0d76\u0d77") buf.write("\5I%\2\u0d77\u0d78\5G$\2\u0d78\u0d79\5=\37\2\u0d79\u0d7a") buf.write("\5U+\2\u0d7a\u0d7b\5C\"\2\u0d7b\u0d7c\5)\25\2\u0d7c\u0d7d") buf.write("\5-\27\2\u0d7d\u5853\3\2\2\2\u0d7e\u0d7f\5U+\2\u0d7f\u0d80") buf.write("\5M\'\2\u0d80\u0d81\5\61\31\2\u0d81\u0d82\5+\26\2\u0d82") buf.write("\u0d83\5\61\31\2\u0d83\u0d84\5U+\2\u0d84\u0d85\5? \2\u0d85") buf.write("\u0d86\5[.\2\u0d86\u0d87\5? \2\u0d87\u0d88\5U+\2\u0d88") buf.write("\u0d89\59\35\2\u0d89\u0d8a\5!\21\2\u0d8a\u0d8b\5G$\2\u0d8b") buf.write("\u0d8c\5%\23\2\u0d8c\u0d8d\5/\30\2\u0d8d\u0d8e\5U+\2\u0d8e") buf.write("\u0d8f\5)\25\2\u0d8f\u0d90\5K&\2\u0d90\u0d91\5)\25\2\u0d91") buf.write("\u0d92\5;\36\2\u0d92\u0d93\5G$\2\u0d93\u0d94\5U+\2\u0d94") buf.write("\u0d95\5%\23\2\u0d95\u0d96\5!\21\2\u0d96\u0d97\5\67\34") buf.write("\2\u0d97\u0d98\5\67\34\2\u0d98\u5853\3\2\2\2\u0d99\u0d9a") buf.write("\5U+\2\u0d9a\u0d9b\5M\'\2\u0d9b\u0d9c\5\61\31\2\u0d9c") buf.write("\u0d9d\5+\26\2\u0d9d\u0d9e\5\61\31\2\u0d9e\u0d9f\5U+\2") buf.write("\u0d9f\u0da0\5? \2\u0da0\u0da1\5[.\2\u0da1\u0da2\5? \2") buf.write("\u0da2\u0da3\5U+\2\u0da3\u0da4\59\35\2\u0da4\u0da5\5!") buf.write("\21\2\u0da5\u0da6\5G$\2\u0da6\u0da7\5%\23\2\u0da7\u0da8") buf.write("\5/\30\2\u0da8\u0da9\5U+\2\u0da9\u0daa\5E#\2\u0daa\u0dab") buf.write("\5)\25\2\u0dab\u0dac\5G$\2\u0dac\u0dad\5U+\2\u0dad\u0dae") buf.write("\5\'\24\2\u0dae\u0daf\5)\25\2\u0daf\u0db0\5\67\34\2\u0db0") buf.write("\u5853\3\2\2\2\u0db1\u0db2\5U+\2\u0db2\u0db3\5%\23\2\u0db3") buf.write("\u0db4\5=\37\2\u0db4\u0db5\59\35\2\u0db5\u0db6\59\35\2") buf.write("\u0db6\u0db7\5U+\2\u0db7\u0db8\5-\27\2\u0db8\u0db9\5)") buf.write("\25\2\u0db9\u0dba\5G$\2\u0dba\u0dbb\5U+\2\u0dbb\u0dbc") buf.write("\5%\23\2\u0dbc\u0dbd\5I%\2\u0dbd\u0dbe\5C\"\2\u0dbe\u0dbf") buf.write("\5C\"\2\u0dbf\u0dc0\5)\25\2\u0dc0\u0dc1\5;\36\2\u0dc1") buf.write("\u0dc2\5G$\2\u0dc2\u0dc3\5U+\2\u0dc3\u0dc4\5\61\31\2\u0dc4") buf.write("\u0dc5\5\'\24\2\u0dc5\u5853\3\2\2\2\u0dc6\u0dc7\5U+\2") buf.write("\u0dc7\u0dc8\5\'\24\2\u0dc8\u0dc9\5)\25\2\u0dc9\u0dca") buf.write("\5;\36\2\u0dca\u0dcb\5\'\24\2\u0dcb\u0dcc\5=\37\2\u0dcc") buf.write("\u0dcd\5I%\2\u0dcd\u0dce\5U+\2\u0dce\u0dcf\5;\36\2\u0dcf") buf.write("\u0dd0\5I%\2\u0dd0\u0dd1\59\35\2\u0dd1\u0dd2\5U+\2\u0dd2") buf.write("\u0dd3\5-\27\2\u0dd3\u0dd4\5)\25\2\u0dd4\u0dd5\5G$\2\u0dd5") buf.write("\u5853\3\2\2\2\u0dd6\u0dd7\5U+\2\u0dd7\u0dd8\5? \2\u0dd8") buf.write("\u0dd9\5=\37\2\u0dd9\u0dda\5\65\33\2\u0dda\u0ddb\5)\25") buf.write("\2\u0ddb\u0ddc\5U+\2\u0ddc\u0ddd\5M\'\2\u0ddd\u0dde\5") buf.write("\61\31\2\u0dde\u0ddf\5;\36\2\u0ddf\u0de0\5\'\24\2\u0de0") buf.write("\u0de1\5=\37\2\u0de1\u0de2\5M\'\2\u0de2\u0de3\5U+\2\u0de3") buf.write("\u0de4\5? \2\u0de4\u0de5\5I%\2\u0de5\u0de6\5G$\2\u0de6") buf.write("\u5853\3\2\2\2\u0de7\u0de8\5U+\2\u0de8\u0de9\5? \2\u0de9") buf.write("\u0dea\5=\37\2\u0dea\u0deb\5\65\33\2\u0deb\u0dec\5)\25") buf.write("\2\u0dec\u0ded\5U+\2\u0ded\u0dee\5M\'\2\u0dee\u0def\5") buf.write("\61\31\2\u0def\u0df0\5;\36\2\u0df0\u0df1\5\'\24\2\u0df1") buf.write("\u0df2\5=\37\2\u0df2\u0df3\5M\'\2\u0df3\u0df4\5U+\2\u0df4") buf.write("\u0df5\5? \2\u0df5\u0df6\5I%\2\u0df6\u0df7\5G$\2\u0df7") buf.write("\u0df8\5U+\2\u0df8\u0df9\5? \2\u0df9\u0dfa\5? \2\u0dfa") buf.write("\u5853\3\2\2\2\u0dfb\u0dfc\5U+\2\u0dfc\u0dfd\5? \2\u0dfd") buf.write("\u0dfe\5=\37\2\u0dfe\u0dff\5\65\33\2\u0dff\u0e00\5)\25") buf.write("\2\u0e00\u0e01\5U+\2\u0e01\u0e02\5M\'\2\u0e02\u0e03\5") buf.write("\61\31\2\u0e03\u0e04\5;\36\2\u0e04\u0e05\5\'\24\2\u0e05") buf.write("\u0e06\5=\37\2\u0e06\u0e07\5M\'\2\u0e07\u0e08\5U+\2\u0e08") buf.write("\u0e09\5\'\24\2\u0e09\u0e0a\5)\25\2\u0e0a\u0e0b\5\67\34") buf.write("\2\u0e0b\u5853\3\2\2\2\u0e0c\u0e0d\5U+\2\u0e0d\u0e0e\5") buf.write("? \2\u0e0e\u0e0f\5=\37\2\u0e0f\u0e10\5\65\33\2\u0e10\u0e11") buf.write("\5)\25\2\u0e11\u0e12\5U+\2\u0e12\u0e13\5M\'\2\u0e13\u0e14") buf.write("\5\61\31\2\u0e14\u0e15\5;\36\2\u0e15\u0e16\5\'\24\2\u0e16") buf.write("\u0e17\5=\37\2\u0e17\u0e18\5M\'\2\u0e18\u0e19\5U+\2\u0e19") buf.write("\u0e1a\5!\21\2\u0e1a\u0e1b\5;\36\2\u0e1b\u0e1c\59\35\2") buf.write("\u0e1c\u5853\3\2\2\2\u0e1d\u0e1e\5U+\2\u0e1e\u0e1f\5?") buf.write(" \2\u0e1f\u0e20\5=\37\2\u0e20\u0e21\5\65\33\2\u0e21\u0e22") buf.write("\5)\25\2\u0e22\u0e23\5U+\2\u0e23\u0e24\5M\'\2\u0e24\u0e25") 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buf.write("\5\61\31\2\u0fb6\u0fb7\5C\"\2\u0fb7\u0fb8\5E#\2\u0fb8") buf.write("\u0fb9\5G$\2\u0fb9\u0fba\5U+\2\u0fba\u0fbb\5? \2\u0fbb") buf.write("\u0fbc\5=\37\2\u0fbc\u0fbd\5\65\33\2\u0fbd\u0fbe\5)\25") buf.write("\2\u0fbe\u0fbf\5U+\2\u0fbf\u0fc0\5E#\2\u0fc0\u0fc1\5)") buf.write("\25\2\u0fc1\u0fc2\5\67\34\2\u0fc2\u0fc3\5)\25\2\u0fc3") buf.write("\u0fc4\5%\23\2\u0fc4\u0fc5\5G$\2\u0fc5\u0fc6\5U+\2\u0fc6") buf.write("\u0fc7\5E#\2\u0fc7\u0fc8\5)\25\2\u0fc8\u0fc9\5G$\2\u0fc9") buf.write("\u0fca\5U+\2\u0fca\u0fcb\5!\21\2\u0fcb\u0fcc\5;\36\2\u0fcc") buf.write("\u0fcd\5\'\24\2\u0fcd\u0fce\5U+\2\u0fce\u0fcf\5\'\24\2") buf.write("\u0fcf\u0fd0\5)\25\2\u0fd0\u0fd1\5\67\34\2\u0fd1\u5853") buf.write("\3\2\2\2\u0fd2\u0fd3\5U+\2\u0fd3\u0fd4\5#\22\2\u0fd4\u0fd5") buf.write("\5!\21\2\u0fd5\u0fd6\5-\27\2\u0fd6\u0fd7\5U+\2\u0fd7\u0fd8") buf.write("\5E#\2\u0fd8\u0fd9\5)\25\2\u0fd9\u0fda\5G$\2\u0fda\u0fdb") buf.write("\5U+\2\u0fdb\u0fdc\5? \2\u0fdc\u0fdd\5C\"\2\u0fdd\u0fde") buf.write("\5=\37\2\u0fde\u0fdf\5%\23\2\u0fdf\u0fe0\5U+\2\u0fe0\u0fe1") buf.write("\5;\36\2\u0fe1\u0fe2\5=\37\2\u0fe2\u0fe3\5C\"\2\u0fe3") buf.write("\u0fe4\59\35\2\u0fe4\u0fe5\5!\21\2\u0fe5\u0fe6\5\67\34") buf.write("\2\u0fe6\u5853\3\2\2\2\u0fe7\u0fe8\5U+\2\u0fe8\u0fe9\5") buf.write("#\22\2\u0fe9\u0fea\5!\21\2\u0fea\u0feb\5-\27\2\u0feb\u0fec") buf.write("\5U+\2\u0fec\u0fed\5E#\2\u0fed\u0fee\5)\25\2\u0fee\u0fef") buf.write("\5G$\2\u0fef\u0ff0\5U+\2\u0ff0\u0ff1\5? \2\u0ff1\u0ff2") buf.write("\5C\"\2\u0ff2\u0ff3\5=\37\2\u0ff3\u0ff4\5%\23\2\u0ff4") buf.write("\u0ff5\5U+\2\u0ff5\u0ff6\5\65\33\2\u0ff6\u0ff7\5\61\31") buf.write("\2\u0ff7\u0ff8\5;\36\2\u0ff8\u0ff9\5=\37\2\u0ff9\u0ffa") buf.write("\59\35\2\u0ffa\u0ffb\5\61\31\2\u0ffb\u5853\3\2\2\2\u0ffc") buf.write("\u0ffd\5U+\2\u0ffd\u0ffe\5#\22\2\u0ffe\u0fff\5!\21\2\u0fff") buf.write("\u1000\5-\27\2\u1000\u1001\5U+\2\u1001\u1002\5-\27\2\u1002") buf.write("\u1003\5)\25\2\u1003\u1004\5G$\2\u1004\u1005\5U+\2\u1005") buf.write("\u1006\5C\"\2\u1006\u1007\5)\25\2\u1007\u1008\5E#\2\u1008") buf.write("\u1009\5I%\2\u1009\u100a\5\67\34\2\u100a\u100b\5G$\2\u100b") buf.write("\u5853\3\2\2\2\u100c\u100d\5U+\2\u100d\u100e\5? \2\u100e") buf.write("\u100f\5=\37\2\u100f\u1010\5\65\33\2\u1010\u1011\5)\25") buf.write("\2\u1011\u1012\5\67\34\2\u1012\u1013\5\61\31\2\u1013\u1014") buf.write("\5E#\2\u1014\u1015\5G$\2\u1015\u1016\5U+\2\u1016\u1017") buf.write("\5E#\2\u1017\u1018\5)\25\2\u1018\u1019\5G$\2\u1019\u101a") buf.write("\5U+\2\u101a\u101b\5? \2\u101b\u101c\5C\"\2\u101c\u101d") buf.write("\5=\37\2\u101d\u101e\5%\23\2\u101e\u5853\3\2\2\2\u101f") buf.write("\u1020\5U+\2\u1020\u1021\5;\36\2\u1021\u1022\5? \2\u1022") buf.write("\u1023\5%\23\2\u1023\u1024\5U+\2\u1024\u1025\5G$\2\u1025") buf.write("\u1026\5C\"\2\u1026\u1027\5!\21\2\u1027\u1028\5\'\24\2") buf.write("\u1028\u1029\5)\25\2\u1029\u102a\5U+\2\u102a\u102b\5?") buf.write(" \2\u102b\u102c\5=\37\2\u102c\u102d\5\65\33\2\u102d\u102e") buf.write("\5)\25\2\u102e\u102f\5\67\34\2\u102f\u1030\5\61\31\2\u1030") buf.write("\u1031\5E#\2\u1031\u1032\5G$\2\u1032\u1033\5U+\2\u1033") buf.write("\u1034\5E#\2\u1034\u1035\5)\25\2\u1035\u1036\5G$\2\u1036") buf.write("\u1037\5U+\2\u1037\u1038\5? \2\u1038\u1039\5C\"\2\u1039") buf.write("\u103a\5=\37\2\u103a\u103b\5%\23\2\u103b\u5853\3\2\2\2") buf.write("\u103c\u103d\5U+\2\u103d\u103e\5I%\2\u103e\u103f\5;\36") buf.write("\2\u103f\u1040\5\61\31\2\u1040\u1041\5=\37\2\u1041\u1042") buf.write("\5;\36\2\u1042\u1043\5U+\2\u1043\u1044\5? \2\u1044\u1045") buf.write("\5=\37\2\u1045\u1046\5\65\33\2\u1046\u1047\5)\25\2\u1047") buf.write("\u1048\5\67\34\2\u1048\u1049\5\61\31\2\u1049\u104a\5E") buf.write("#\2\u104a\u104b\5G$\2\u104b\u104c\5U+\2\u104c\u104d\5") buf.write("E#\2\u104d\u104e\5)\25\2\u104e\u104f\5G$\2\u104f\u1050") buf.write("\5U+\2\u1050\u1051\5? \2\u1051\u1052\5C\"\2\u1052\u1053") buf.write("\5=\37\2\u1053\u1054\5%\23\2\u1054\u5853\3\2\2\2\u1055") buf.write("\u1056\5U+\2\u1056\u1057\5? \2\u1057\u1058\5=\37\2\u1058") buf.write("\u1059\5\65\33\2\u1059\u105a\5)\25\2\u105a\u105b\5\67") buf.write("\34\2\u105b\u105c\5\61\31\2\u105c\u105d\5E#\2\u105d\u105e") buf.write("\5G$\2\u105e\u105f\5U+\2\u105f\u1060\5-\27\2\u1060\u1061") buf.write("\5)\25\2\u1061\u1062\5G$\2\u1062\u1063\5U+\2\u1063\u1064") buf.write("\5C\"\2\u1064\u1065\5)\25\2\u1065\u1066\5E#\2\u1066\u1067") buf.write("\5I%\2\u1067\u1068\5\67\34\2\u1068\u1069\5G$\2\u1069\u5853") buf.write("\3\2\2\2\u106a\u106b\5U+\2\u106b\u106c\5%\23\2\u106c\u106d") buf.write("\5=\37\2\u106d\u106e\5;\36\2\u106e\u106f\5U+\2\u106f\u1070") buf.write("\5? \2\u1070\u1071\5=\37\2\u1071\u1072\5\65\33\2\u1072") buf.write("\u1073\5)\25\2\u1073\u1074\5\67\34\2\u1074\u1075\5\61") buf.write("\31\2\u1075\u1076\5E#\2\u1076\u1077\5G$\2\u1077\u1078") buf.write("\5U+\2\u1078\u1079\5E#\2\u1079\u107a\5)\25\2\u107a\u107b") buf.write("\5G$\2\u107b\u107c\5U+\2\u107c\u107d\5? \2\u107d\u107e") buf.write("\5C\"\2\u107e\u107f\5=\37\2\u107f\u1080\5%\23\2\u1080") buf.write("\u5853\3\2\2\2\u1081\u1082\5U+\2\u1082\u1083\5%\23\2\u1083") buf.write("\u1084\5=\37\2\u1084\u1085\5;\36\2\u1085\u1086\5U+\2\u1086") buf.write("\u1087\5? \2\u1087\u1088\5=\37\2\u1088\u1089\5\65\33\2") buf.write("\u1089\u108a\5)\25\2\u108a\u108b\5\67\34\2\u108b\u108c") buf.write("\5\61\31\2\u108c\u108d\5E#\2\u108d\u108e\5G$\2\u108e\u108f") buf.write("\5U+\2\u108f\u1090\5-\27\2\u1090\u1091\5)\25\2\u1091\u1092") buf.write("\5G$\2\u1092\u1093\5U+\2\u1093\u1094\5C\"\2\u1094\u1095") buf.write("\5)\25\2\u1095\u1096\5E#\2\u1096\u1097\5I%\2\u1097\u1098") buf.write("\5\67\34\2\u1098\u1099\5G$\2\u1099\u5853\3\2\2\2\u109a") buf.write("\u109b\5U+\2\u109b\u109c\5%\23\2\u109c\u109d\5=\37\2\u109d") buf.write("\u109e\5;\36\2\u109e\u109f\5U+\2\u109f\u10a0\5? \2\u10a0") buf.write("\u10a1\5=\37\2\u10a1\u10a2\5\65\33\2\u10a2\u10a3\5)\25") buf.write("\2\u10a3\u10a4\5E#\2\u10a4\u10a5\5G$\2\u10a5\u10a6\5!") buf.write("\21\2\u10a6\u10a7\5G$\2\u10a7\u10a8\5I%\2\u10a8\u10a9") buf.write("\5E#\2\u10a9\u10aa\5U+\2\u10aa\u10ab\5E#\2\u10ab\u10ac") buf.write("\5)\25\2\u10ac\u10ad\5G$\2\u10ad\u10ae\5U+\2\u10ae\u10af") buf.write("\5? \2\u10af\u10b0\5C\"\2\u10b0\u10b1\5=\37\2\u10b1\u10b2") buf.write("\5%\23\2\u10b2\u5853\3\2\2\2\u10b3\u10b4\5U+\2\u10b4\u10b5") buf.write("\5? \2\u10b5\u10b6\5=\37\2\u10b6\u10b7\5\65\33\2\u10b7") buf.write("\u10b8\5)\25\2\u10b8\u10b9\5E#\2\u10b9\u10ba\5G$\2\u10ba") buf.write("\u10bb\5!\21\2\u10bb\u10bc\5G$\2\u10bc\u10bd\5I%\2\u10bd") buf.write("\u10be\5E#\2\u10be\u10bf\5U+\2\u10bf\u10c0\5-\27\2\u10c0") buf.write("\u10c1\5)\25\2\u10c1\u10c2\5G$\2\u10c2\u10c3\5U+\2\u10c3") buf.write("\u10c4\5C\"\2\u10c4\u10c5\5)\25\2\u10c5\u10c6\5E#\2\u10c6") buf.write("\u10c7\5I%\2\u10c7\u10c8\5\67\34\2\u10c8\u10c9\5G$\2\u10c9") buf.write("\u5853\3\2\2\2\u10ca\u10cb\5U+\2\u10cb\u10cc\5M\'\2\u10cc") buf.write("\u10cd\5\61\31\2\u10cd\u10ce\5+\26\2\u10ce\u10cf\5\61") buf.write("\31\2\u10cf\u10d0\5U+\2\u10d0\u10d1\5)\25\2\u10d1\u10d2") buf.write("\5!\21\2\u10d2\u10d3\5C\"\2\u10d3\u10d4\5G$\2\u10d4\u10d5") buf.write("\5/\30\2\u10d5\u10d6\5U+\2\u10d6\u10d7\5E#\2\u10d7\u10d8") buf.write("\5)\25\2\u10d8\u10d9\5G$\2\u10d9\u10da\5U+\2\u10da\u10db") buf.write("\5? \2\u10db\u10dc\5C\"\2\u10dc\u10dd\5=\37\2\u10dd\u10de") buf.write("\5%\23\2\u10de\u5853\3\2\2\2\u10df\u10e0\5U+\2\u10e0\u10e1") buf.write("\5)\25\2\u10e1\u10e2\5Q)\2\u10e2\u10e3\5)\25\2\u10e3\u10e4") buf.write("\5U+\2\u10e4\u10e5\5G$\2\u10e5\u10e6\5C\"\2\u10e6\u10e7") buf.write("\5!\21\2\u10e7\u10e8\5\61\31\2\u10e8\u10e9\5;\36\2\u10e9") buf.write("\u10ea\5)\25\2\u10ea\u10eb\5C\"\2\u10eb\u10ec\5U+\2\u10ec") buf.write("\u10ed\59\35\2\u10ed\u10ee\5=\37\2\u10ee\u10ef\5K&\2\u10ef") buf.write("\u10f0\5)\25\2\u10f0\u10f1\5U+\2\u10f1\u10f2\5E#\2\u10f2") buf.write("\u10f3\5)\25\2\u10f3\u10f4\5G$\2\u10f4\u5853\3\2\2\2\u10f5") buf.write("\u10f6\5U+\2\u10f6\u10f7\5)\25\2\u10f7\u10f8\5Q)\2\u10f8") buf.write("\u10f9\5)\25\2\u10f9\u10fa\5U+\2\u10fa\u10fb\5G$\2\u10fb") buf.write("\u10fc\5C\"\2\u10fc\u10fd\5!\21\2\u10fd\u10fe\5\61\31") buf.write("\2\u10fe\u10ff\5;\36\2\u10ff\u1100\5)\25\2\u1100\u1101") buf.write("\5C\"\2\u1101\u1102\5U+\2\u1102\u1103\59\35\2\u1103\u1104") buf.write("\5=\37\2\u1104\u1105\5K&\2\u1105\u1106\5)\25\2\u1106\u1107") buf.write("\5U+\2\u1107\u1108\5%\23\2\u1108\u1109\5/\30\2\u1109\u110a") buf.write("\5)\25\2\u110a\u110b\5%\23\2\u110b\u110c\5\65\33\2\u110c") buf.write("\u5853\3\2\2\2\u110d\u110e\5U+\2\u110e\u110f\5)\25\2\u110f") buf.write("\u1110\5Q)\2\u1110\u1111\5)\25\2\u1111\u1112\5U+\2\u1112") buf.write("\u1113\5G$\2\u1113\u1114\5C\"\2\u1114\u1115\5!\21\2\u1115") buf.write("\u1116\5\61\31\2\u1116\u1117\5;\36\2\u1117\u1118\5)\25") buf.write("\2\u1118\u1119\5C\"\2\u1119\u111a\5U+\2\u111a\u111b\5") buf.write("G$\2\u111b\u111c\5Q)\2\u111c\u111d\5? \2\u111d\u111e\5") buf.write(")\25\2\u111e\u111f\5U+\2\u111f\u1120\5-\27\2\u1120\u1121") buf.write("\5)\25\2\u1121\u1122\5G$\2\u1122\u5853\3\2\2\2\u1123\u1124") buf.write("\5U+\2\u1124\u1125\5)\25\2\u1125\u1126\5Q)\2\u1126\u1127") buf.write("\5)\25\2\u1127\u1128\5U+\2\u1128\u1129\5G$\2\u1129\u112a") buf.write("\5C\"\2\u112a\u112b\5!\21\2\u112b\u112c\5\61\31\2\u112c") buf.write("\u112d\5;\36\2\u112d\u112e\5)\25\2\u112e\u112f\5C\"\2") buf.write("\u112f\u1130\5U+\2\u1130\u1131\5\61\31\2\u1131\u1132\5") buf.write("\'\24\2\u1132\u1133\5U+\2\u1133\u1134\5-\27\2\u1134\u1135") buf.write("\5)\25\2\u1135\u1136\5G$\2\u1136\u5853\3\2\2\2\u1137\u1138") buf.write("\5U+\2\u1138\u1139\5;\36\2\u1139\u113a\5!\21\2\u113a\u113b") buf.write("\59\35\2\u113b\u113c\5)\25\2\u113c\u113d\5\61\31\2\u113d") buf.write("\u113e\5;\36\2\u113e\u5853\3\2\2\2\u113f\u1140\5U+\2\u1140") buf.write("\u1141\5;\36\2\u1141\u1142\5!\21\2\u1142\u1143\59\35\2") buf.write("\u1143\u1144\5)\25\2\u1144\u1145\5\61\31\2\u1145\u1146") buf.write("\5;\36\2\u1146\u1147\5U+\2\u1147\u1148\5? \2\u1148\u1149") buf.write("\5=\37\2\u1149\u114a\5\65\33\2\u114a\u114b\5)\25\2\u114b") buf.write("\u5853\3\2\2\2\u114c\u114d\5U+\2\u114d\u114e\5M\'\2\u114e") buf.write("\u114f\5\61\31\2\u114f\u1150\5? \2\u1150\u1151\5)\25\2") buf.write("\u1151\u1152\5U+\2\u1152\u1153\5+\26\2\u1153\u1154\5!") buf.write("\21\2\u1154\u1155\5\'\24\2\u1155\u1156\5)\25\2\u1156\u1157") buf.write("\5U+\2\u1157\u1158\5E#\2\u1158\u1159\5G$\2\u1159\u115a") buf.write("\5!\21\2\u115a\u115b\5C\"\2\u115b\u115c\5G$\2\u115c\u5853") buf.write("\3\2\2\2\u115d\u115e\5U+\2\u115e\u115f\5M\'\2\u115f\u1160") buf.write("\5\61\31\2\u1160\u1161\5? \2\u1161\u1162\5)\25\2\u1162") buf.write("\u1163\5U+\2\u1163\u1164\5+\26\2\u1164\u1165\5!\21\2\u1165") buf.write("\u1166\5\'\24\2\u1166\u1167\5)\25\2\u1167\u1168\5U+\2") buf.write("\u1168\u1169\5)\25\2\u1169\u116a\5;\36\2\u116a\u116b\5") buf.write("\'\24\2\u116b\u116c\5U+\2\u116c\u116d\5%\23\2\u116d\u116e") buf.write("\5/\30\2\u116e\u116f\5)\25\2\u116f\u1170\5%\23\2\u1170") buf.write("\u1171\5\65\33\2\u1171\u5853\3\2\2\2\u1172\u1173\5U+\2") buf.write("\u1173\u1174\5M\'\2\u1174\u1175\5/\30\2\u1175\u1176\5") buf.write("\61\31\2\u1176\u1177\5G$\2\u1177\u1178\5)\25\2\u1178\u1179") buf.write("\5U+\2\u1179\u117a\5=\37\2\u117a\u117b\5I%\2\u117b\u117c") buf.write("\5G$\2\u117c\u5853\3\2\2\2\u117d\u117e\5U+\2\u117e\u117f") buf.write("\5M\'\2\u117f\u1180\5/\30\2\u1180\u1181\5\61\31\2\u1181") buf.write("\u1182\5G$\2\u1182\u1183\5)\25\2\u1183\u1184\5U+\2\u1184") buf.write("\u1185\5\61\31\2\u1185\u1186\5;\36\2\u1186\u5853\3\2\2") buf.write("\2\u1187\u1188\5U+\2\u1188\u1189\5#\22\2\u1189\u118a\5") buf.write("\67\34\2\u118a\u118b\5!\21\2\u118b\u118c\5%\23\2\u118c") buf.write("\u118d\5\65\33\2\u118d\u118e\5U+\2\u118e\u118f\5=\37\2") buf.write("\u118f\u1190\5I%\2\u1190\u1191\5G$\2\u1191\u5853\3\2\2") buf.write("\2\u1192\u1193\5U+\2\u1193\u1194\5#\22\2\u1194\u1195\5") buf.write("\67\34\2\u1195\u1196\5!\21\2\u1196\u1197\5%\23\2\u1197") buf.write("\u1198\5\65\33\2\u1198\u1199\5U+\2\u1199\u119a\5\61\31") buf.write("\2\u119a\u119b\5;\36\2\u119b\u5853\3\2\2\2\u119c\u119d") buf.write("\5U+\2\u119d\u119e\59\35\2\u119e\u119f\5!\21\2\u119f\u11a0") buf.write("\5? \2\u11a0\u11a1\5U+\2\u11a1\u11a2\5%\23\2\u11a2\u11a3") buf.write("\5/\30\2\u11a3\u11a4\5!\21\2\u11a4\u11a5\5;\36\2\u11a5") buf.write("\u11a6\5-\27\2\u11a6\u11a7\5)\25\2\u11a7\u5853\3\2\2\2") buf.write("\u11a8\u11a9\5U+\2\u11a9\u11aa\59\35\2\u11aa\u11ab\5!") buf.write("\21\2\u11ab\u11ac\5? \2\u11ac\u11ad\5U+\2\u11ad\u11ae") buf.write("\5%\23\2\u11ae\u11af\5/\30\2\u11af\u11b0\5!\21\2\u11b0") buf.write("\u11b1\5;\36\2\u11b1\u11b2\5-\27\2\u11b2\u11b3\5)\25\2") buf.write("\u11b3\u11b4\5U+\2\u11b4\u11b5\5;\36\2\u11b5\u11b6\5=") buf.write("\37\2\u11b6\u11b7\5;\36\2\u11b7\u11b8\5)\25\2\u11b8\u11b9") buf.write("\5U+\2\u11b9\u11ba\5+\26\2\u11ba\u11bb\5!\21\2\u11bb\u11bc") buf.write("\5\'\24\2\u11bc\u11bd\5)\25\2\u11bd\u5853\3\2\2\2\u11be") buf.write("\u11bf\5U+\2\u11bf\u11c0\5%\23\2\u11c0\u11c1\5=\37\2\u11c1") buf.write("\u11c2\5\67\34\2\u11c2\u11c3\5=\37\2\u11c3\u11c4\5E#\2") buf.write("\u11c4\u11c5\5E#\2\u11c5\u11c6\5)\25\2\u11c6\u11c7\5I") buf.write("%\2\u11c7\u11c8\59\35\2\u11c8\u11c9\5U+\2\u11c9\u11ca") buf.write("\59\35\2\u11ca\u11cb\5!\21\2\u11cb\u11cc\5? \2\u11cc\u11cd") buf.write("\5U+\2\u11cd\u11ce\5%\23\2\u11ce\u11cf\5/\30\2\u11cf\u11d0") buf.write("\5!\21\2\u11d0\u11d1\5;\36\2\u11d1\u11d2\5-\27\2\u11d2") buf.write("\u11d3\5)\25\2\u11d3\u11d4\5U+\2\u11d4\u11d5\5\61\31\2") buf.write("\u11d5\u11d6\5;\36\2\u11d6\u5853\3\2\2\2\u11d7\u11d8\5") buf.write("U+\2\u11d8\u11d9\5%\23\2\u11d9\u11da\5=\37\2\u11da\u11db") buf.write("\5\67\34\2\u11db\u11dc\5=\37\2\u11dc\u11dd\5E#\2\u11dd") buf.write("\u11de\5E#\2\u11de\u11df\5)\25\2\u11df\u11e0\5I%\2\u11e0") buf.write("\u11e1\59\35\2\u11e1\u11e2\5U+\2\u11e2\u11e3\59\35\2\u11e3") buf.write("\u11e4\5!\21\2\u11e4\u11e5\5? \2\u11e5\u11e6\5U+\2\u11e6") buf.write("\u11e7\5%\23\2\u11e7\u11e8\5/\30\2\u11e8\u11e9\5!\21\2") buf.write("\u11e9\u11ea\5;\36\2\u11ea\u11eb\5-\27\2\u11eb\u11ec\5") buf.write(")\25\2\u11ec\u11ed\5U+\2\u11ed\u11ee\5=\37\2\u11ee\u11ef") buf.write("\5I%\2\u11ef\u11f0\5G$\2\u11f0\u5853\3\2\2\2\u11f1\u11f2") buf.write("\5U+\2\u11f2\u11f3\5-\27\2\u11f3\u11f4\5)\25\2\u11f4\u11f5") buf.write("\5G$\2\u11f5\u11f6\5U+\2\u11f6\u11f7\5#\22\2\u11f7\u11f8") buf.write("\5)\25\2\u11f8\u11f9\5+\26\2\u11f9\u11fa\5=\37\2\u11fa") buf.write("\u11fb\5C\"\2\u11fb\u11fc\5)\25\2\u11fc\u11fd\5U+\2\u11fd") buf.write("\u11fe\5S*\2\u11fe\u11ff\5=\37\2\u11ff\u1200\5;\36\2\u1200") buf.write("\u1201\5)\25\2\u1201\u1202\5U+\2\u1202\u1203\5\61\31\2") buf.write("\u1203\u1204\5\'\24\2\u1204\u5853\3\2\2\2\u1205\u1206") buf.write("\5U+\2\u1206\u1207\5-\27\2\u1207\u1208\5)\25\2\u1208\u1209") buf.write("\5G$\2\u1209\u120a\5U+\2\u120a\u120b\5;\36\2\u120b\u120c") buf.write("\5=\37\2\u120c\u120d\5M\'\2\u120d\u120e\5U+\2\u120e\u120f") buf.write("\5S*\2\u120f\u1210\5=\37\2\u1210\u1211\5;\36\2\u1211\u1212") buf.write("\5)\25\2\u1212\u1213\5U+\2\u1213\u1214\5\61\31\2\u1214") buf.write("\u1215\5\'\24\2\u1215\u5853\3\2\2\2\u1216\u1217\5U+\2") buf.write("\u1217\u1218\5\65\33\2\u1218\u1219\5!\21\2\u1219\u121a") buf.write("\5#\22\2\u121a\u121b\5)\25\2\u121b\u121c\5;\36\2\u121c") buf.write("\u121d\5=\37\2\u121d\u121e\5#\22\2\u121e\u121f\5=\37\2") buf.write("\u121f\u1220\5C\"\2\u1220\u1221\5\61\31\2\u1221\u5853") buf.write("\3\2\2\2\u1222\u1223\5U+\2\u1223\u1224\5;\36\2\u1224\u1225") buf.write("\5!\21\2\u1225\u1226\59\35\2\u1226\u1227\5\61\31\2\u1227") buf.write("\u1228\5;\36\2\u1228\u1229\5=\37\2\u1229\u122a\5C\"\2") buf.write("\u122a\u122b\5\61\31\2\u122b\u5853\3\2\2\2\u122c\u122d") buf.write("\5U+\2\u122d\u122e\5#\22\2\u122e\u122f\5\61\31\2\u122f") buf.write("\u1230\5%\23\2\u1230\u1231\5Q)\2\u1231\u1232\5%\23\2\u1232") buf.write("\u1233\5\67\34\2\u1233\u1234\5)\25\2\u1234\u1235\5U+\2") buf.write("\u1235\u1236\5%\23\2\u1236\u1237\5/\30\2\u1237\u1238\5") buf.write(")\25\2\u1238\u1239\5%\23\2\u1239\u123a\5\65\33\2\u123a") buf.write("\u5853\3\2\2\2\u123b\u123c\5U+\2\u123c\u123d\5#\22\2\u123d") buf.write("\u123e\5\61\31\2\u123e\u123f\5%\23\2\u123f\u1240\5Q)\2") buf.write("\u1240\u1241\5%\23\2\u1241\u1242\5\67\34\2\u1242\u1243") buf.write("\5)\25\2\u1243\u1244\5U+\2\u1244\u1245\5C\"\2\u1245\u1246") buf.write("\5)\25\2\u1246\u1247\5A!\2\u1247\u5853\3\2\2\2\u1248\u1249") buf.write("\5U+\2\u1249\u124a\5#\22\2\u124a\u124b\5\61\31\2\u124b") buf.write("\u124c\5%\23\2\u124c\u124d\5Q)\2\u124d\u124e\5%\23\2\u124e") buf.write("\u124f\5\67\34\2\u124f\u1250\5)\25\2\u1250\u1251\5U+\2") buf.write("\u1251\u1252\5C\"\2\u1252\u1253\5)\25\2\u1253\u1254\5") buf.write("A!\2\u1254\u1255\5U+\2\u1255\u1256\5;\36\2\u1256\u1257") buf.write("\5=\37\2\u1257\u1258\5;\36\2\u1258\u1259\5U+\2\u1259\u125a") buf.write("\5#\22\2\u125a\u125b\5-\27\2\u125b\u125c\59\35\2\u125c") buf.write("\u5853\3\2\2\2\u125d\u125e\5U+\2\u125e\u125f\5%\23\2\u125f") buf.write("\u1260\5Q)\2\u1260\u1261\5%\23\2\u1261\u1262\5\67\34\2") buf.write("\u1262\u1263\5\61\31\2\u1263\u1264\5;\36\2\u1264\u1265") buf.write("\5-\27\2\u1265\u1266\5U+\2\u1266\u1267\5C\"\2\u1267\u1268") buf.write("\5=\37\2\u1268\u1269\5!\21\2\u1269\u126a\5\'\24\2\u126a") buf.write("\u126b\5U+\2\u126b\u126c\5E#\2\u126c\u126d\5)\25\2\u126d") buf.write("\u126e\5G$\2\u126e\u5853\3\2\2\2\u126f\u1270\5U+\2\u1270") buf.write("\u1271\5? \2\u1271\u1272\5\67\34\2\u1272\u1273\5!\21\2") buf.write("\u1273\u1274\5Q)\2\u1274\u1275\5)\25\2\u1275\u1276\5C") buf.write("\"\2\u1276\u1277\5U+\2\u1277\u1278\5+\26\2\u1278\u1279") buf.write("\5=\37\2\u1279\u127a\5C\"\2\u127a\u127b\59\35\2\u127b") buf.write("\u127c\5U+\2\u127c\u127d\5-\27\2\u127d\u127e\5)\25\2\u127e") buf.write("\u127f\5G$\2\u127f\u5853\3\2\2\2\u1280\u1281\5U+\2\u1281") buf.write("\u1282\5? \2\u1282\u1283\5\67\34\2\u1283\u1284\5!\21\2") buf.write("\u1284\u1285\5Q)\2\u1285\u1286\5)\25\2\u1286\u1287\5C") buf.write("\"\2\u1287\u1288\5U+\2\u1288\u1289\5C\"\2\u1289\u128a") buf.write("\5)\25\2\u128a\u128b\5A!\2\u128b\u128c\5U+\2\u128c\u128d") buf.write("\5#\22\2\u128d\u128e\5\61\31\2\u128e\u128f\5G$\2\u128f") buf.write("\u1290\5U+\2\u1290\u1291\5=\37\2\u1291\u1292\5;\36\2\u1292") buf.write("\u5853\3\2\2\2\u1293\u1294\5U+\2\u1294\u1295\5? \2\u1295") buf.write("\u1296\5\67\34\2\u1296\u1297\5!\21\2\u1297\u1298\5Q)\2") buf.write("\u1298\u1299\5)\25\2\u1299\u129a\5C\"\2\u129a\u129b\5") buf.write("U+\2\u129b\u129c\5C\"\2\u129c\u129d\5)\25\2\u129d\u129e") buf.write("\5A!\2\u129e\u129f\5U+\2\u129f\u12a0\5E#\2\u12a0\u12a1") buf.write("\5G$\2\u12a1\u12a2\5!\21\2\u12a2\u12a3\5C\"\2\u12a3\u12a4") buf.write("\5G$\2\u12a4\u5853\3\2\2\2\u12a5\u12a6\5U+\2\u12a6\u12a7") buf.write("\5G$\2\u12a7\u12a8\5!\21\2\u12a8\u12a9\5\65\33\2\u12a9") buf.write("\u12aa\5\61\31\2\u12aa\u12ab\5;\36\2\u12ab\u12ac\5=\37") buf.write("\2\u12ac\u12ad\5#\22\2\u12ad\u12ae\5=\37\2\u12ae\u12af") buf.write("\5C\"\2\u12af\u12b0\5\61\31\2\u12b0\u5853\3\2\2\2\u12b1") buf.write("\u12b2\5U+\2\u12b2\u12b3\5E#\2\u12b3\u12b4\5=\37\2\u12b4") buf.write("\u12b5\5C\"\2\u12b5\u12b6\5!\21\2\u12b6\u12b7\5M\'\2\u12b7") buf.write("\u12b8\5=\37\2\u12b8\u12b9\5G$\2\u12b9\u12ba\5=\37\2\u12ba") buf.write("\u12bb\5#\22\2\u12bb\u12bc\5I%\2\u12bc\u5853\3\2\2\2\u12bd") buf.write("\u12be\5U+\2\u12be\u12bf\5/\30\2\u12bf\u12c0\5\61\31\2") buf.write("\u12c0\u12c1\5\'\24\2\u12c1\u12c2\5)\25\2\u12c2\u12c3") buf.write("\5;\36\2\u12c3\u12c4\5U+\2\u12c4\u12c5\5+\26\2\u12c5\u12c6") buf.write("\5\67\34\2\u12c6\u12c7\5!\21\2\u12c7\u12c8\5E#\2\u12c8") buf.write("\u12c9\5/\30\2\u12c9\u5853\3\2\2\2\u12ca\u12cb\5U+\2\u12cb") buf.write("\u12cc\5/\30\2\u12cc\u12cd\5\61\31\2\u12cd\u12ce\5\'\24") buf.write("\2\u12ce\u12cf\5)\25\2\u12cf\u12d0\5;\36\2\u12d0\u12d1") buf.write("\5U+\2\u12d1\u12d2\5\65\33\2\u12d2\u12d3\5\61\31\2\u12d3") buf.write("\u12d4\5C\"\2\u12d4\u12d5\5\61\31\2\u12d5\u12d6\5#\22") buf.write("\2\u12d6\u12d7\5!\21\2\u12d7\u12d8\5C\"\2\u12d8\u12d9") buf.write("\5!\21\2\u12d9\u12da\5\61\31\2\u12da\u5853\3\2\2\2\u12db") buf.write("\u12dc\5U+\2\u12dc\u12dd\5%\23\2\u12dd\u12de\5I%\2\u12de") buf.write("\u12df\5G$\2\u12df\u12e0\5\61\31\2\u12e0\u12e1\5;\36\2") buf.write("\u12e1\u5853\3\2\2\2\u12e2\u12e3\5U+\2\u12e3\u12e4\5%") buf.write("\23\2\u12e4\u12e5\5=\37\2\u12e5\u12e6\5;\36\2\u12e6\u12e7") buf.write("\5U+\2\u12e7\u12e8\5/\30\2\u12e8\u12e9\5)\25\2\u12e9\u12ea") buf.write("\5C\"\2\u12ea\u12eb\5=\37\2\u12eb\u12ec\5U+\2\u12ec\u12ed") buf.write("\5%\23\2\u12ed\u12ee\5/\30\2\u12ee\u12ef\5!\21\2\u12ef") buf.write("\u12f0\5;\36\2\u12f0\u12f1\5-\27\2\u12f1\u12f2\5)\25\2") buf.write("\u12f2\u5853\3\2\2\2\u12f3\u12f4\5U+\2\u12f4\u12f5\5?") buf.write(" \2\u12f5\u12f6\5\67\34\2\u12f6\u12f7\5!\21\2\u12f7\u12f8") buf.write("\5Q)\2\u12f8\u12f9\5)\25\2\u12f9\u12fa\5C\"\2\u12fa\u12fb") buf.write("\5U+\2\u12fb\u12fc\5;\36\2\u12fc\u12fd\5!\21\2\u12fd\u12fe") buf.write("\59\35\2\u12fe\u12ff\5)\25\2\u12ff\u5853\3\2\2\2\u1300") buf.write("\u1301\5U+\2\u1301\u1302\5C\"\2\u1302\u1303\5\61\31\2") buf.write("\u1303\u1304\5K&\2\u1304\u1305\5!\21\2\u1305\u1306\5\67") buf.write("\34\2\u1306\u1307\5U+\2\u1307\u1308\5;\36\2\u1308\u1309") buf.write("\5!\21\2\u1309\u130a\59\35\2\u130a\u130b\5)\25\2\u130b") buf.write("\u5853\3\2\2\2\u130c\u130d\5U+\2\u130d\u130e\5E#\2\u130e") buf.write("\u130f\5I%\2\u130f\u1310\5? \2\u1310\u1311\5? \2\u1311") buf.write("\u1312\5=\37\2\u1312\u1313\5C\"\2\u1313\u1314\5G$\2\u1314") buf.write("\u1315\5U+\2\u1315\u1316\5;\36\2\u1316\u1317\5!\21\2\u1317") buf.write("\u1318\59\35\2\u1318\u1319\5)\25\2\u1319\u5853\3\2\2\2") buf.write("\u131a\u131b\5U+\2\u131b\u131c\5? \2\u131c\u131d\5=\37") buf.write("\2\u131d\u131e\5\65\33\2\u131e\u131f\5)\25\2\u131f\u1320") buf.write("\59\35\2\u1320\u1321\5=\37\2\u1321\u1322\5;\36\2\u1322") buf.write("\u1323\5U+\2\u1323\u1324\5;\36\2\u1324\u1325\5!\21\2\u1325") buf.write("\u1326\59\35\2\u1326\u1327\5)\25\2\u1327\u5853\3\2\2\2") buf.write("\u1328\u1329\5U+\2\u1329\u132a\5\61\31\2\u132a\u132b\5") buf.write("G$\2\u132b\u132c\5)\25\2\u132c\u132d\59\35\2\u132d\u132e") buf.write("\5U+\2\u132e\u132f\5;\36\2\u132f\u1330\5!\21\2\u1330\u1331") buf.write("\59\35\2\u1331\u1332\5)\25\2\u1332\u5853\3\2\2\2\u1333") buf.write("\u1334\5U+\2\u1334\u1335\5? \2\u1335\u1336\5=\37\2\u1336") buf.write("\u1337\5%\23\2\u1337\u1338\5\65\33\2\u1338\u1339\5)\25") buf.write("\2\u1339\u133a\5G$\2\u133a\u133b\5U+\2\u133b\u133c\5;") buf.write("\36\2\u133c\u133d\5!\21\2\u133d\u133e\59\35\2\u133e\u133f") buf.write("\5)\25\2\u133f\u5853\3\2\2\2\u1340\u1341\5U+\2\u1341\u1342") buf.write("\5\61\31\2\u1342\u1343\5G$\2\u1343\u1344\5)\25\2\u1344") buf.write("\u1345\59\35\2\u1345\u1346\5U+\2\u1346\u1347\5M\'\2\u1347") buf.write("\u1348\5!\21\2\u1348\u1349\5S*\2\u1349\u134a\5!\21\2\u134a") buf.write("\u134b\5U+\2\u134b\u134c\5;\36\2\u134c\u134d\5!\21\2\u134d") buf.write("\u134e\59\35\2\u134e\u134f\5)\25\2\u134f\u5853\3\2\2\2") buf.write("\u1350\u1351\5U+\2\u1351\u1352\5M\'\2\u1352\u1353\5!\21") buf.write("\2\u1353\u1354\5S*\2\u1354\u1355\5!\21\2\u1355\u1356\5") buf.write("U+\2\u1356\u1357\5;\36\2\u1357\u1358\5!\21\2\u1358\u1359") buf.write("\59\35\2\u1359\u135a\5)\25\2\u135a\u5853\3\2\2\2\u135b") buf.write("\u135c\5U+\2\u135c\u135d\5;\36\2\u135d\u135e\5I%\2\u135e") buf.write("\u135f\59\35\2\u135f\u1360\5#\22\2\u1360\u1361\5)\25\2") buf.write("\u1361\u1362\5C\"\2\u1362\u1363\5U+\2\u1363\u1364\5;\36") buf.write("\2\u1364\u1365\5!\21\2\u1365\u1366\59\35\2\u1366\u1367") buf.write("\5)\25\2\u1367\u5853\3\2\2\2\u1368\u1369\5U+\2\u1369\u136a") buf.write("\5;\36\2\u136a\u136b\5I%\2\u136b\u136c\59\35\2\u136c\u136d") buf.write("\5#\22\2\u136d\u136e\5)\25\2\u136e\u136f\5C\"\2\u136f") buf.write("\u1370\5U+\2\u1370\u1371\5;\36\2\u1371\u1372\5!\21\2\u1372") buf.write("\u1373\59\35\2\u1373\u1374\5)\25\2\u1374\u1375\5U+\2\u1375") buf.write("\u1376\5)\25\2\u1376\u1377\5O(\2\u1377\u5853\3\2\2\2\u1378") buf.write("\u1379\5U+\2\u1379\u137a\5#\22\2\u137a\u137b\5\61\31\2") buf.write("\u137b\u137c\5C\"\2\u137c\u137d\5G$\2\u137d\u137e\5/\30") buf.write("\2\u137e\u137f\5U+\2\u137f\u1380\5\'\24\2\u1380\u1381") buf.write("\5!\21\2\u1381\u1382\5Q)\2\u1382\u1383\5U+\2\u1383\u1384") buf.write("\5%\23\2\u1384\u1385\5/\30\2\u1385\u1386\5)\25\2\u1386") buf.write("\u1387\5%\23\2\u1387\u1388\5\65\33\2\u1388\u5853\3\2\2") buf.write("\2\u1389\u138a\5U+\2\u138a\u138b\5!\21\2\u138b\u138c\5") buf.write(";\36\2\u138c\u138d\5=\37\2\u138d\u138e\5=\37\2\u138e\u138f") buf.write("\5;\36\2\u138f\u1390\5U+\2\u1390\u1391\5E#\2\u1391\u1392") buf.write("\5)\25\2\u1392\u1393\5)\25\2\u1393\u1394\5U+\2\u1394\u1395") buf.write("\5;\36\2\u1395\u1396\5I%\2\u1396\u1397\59\35\2\u1397\u5853") buf.write("\3\2\2\2\u1398\u1399\5U+\2\u1399\u139a\5;\36\2\u139a\u139b") buf.write("\5\61\31\2\u139b\u139c\5%\23\2\u139c\u139d\5\65\33\2\u139d") buf.write("\u139e\5U+\2\u139e\u139f\5;\36\2\u139f\u13a0\5!\21\2\u13a0") buf.write("\u13a1\59\35\2\u13a1\u13a2\5)\25\2\u13a2\u5853\3\2\2\2") buf.write("\u13a3\u13a4\5U+\2\u13a4\u13a5\5? \2\u13a5\u13a6\5=\37") buf.write("\2\u13a6\u13a7\5\65\33\2\u13a7\u13a8\5)\25\2\u13a8\u13a9") buf.write("\5G$\2\u13a9\u13aa\5%\23\2\u13aa\u13ab\5/\30\2\u13ab\u13ac") buf.write("\5U+\2\u13ac\u13ad\5;\36\2\u13ad\u13ae\5!\21\2\u13ae\u13af") buf.write("\59\35\2\u13af\u13b0\5)\25\2\u13b0\u5853\3\2\2\2\u13b1") buf.write("\u13b2\5U+\2\u13b2\u13b3\5G$\2\u13b3\u13b4\5C\"\2\u13b4") buf.write("\u13b5\5U+\2\u13b5\u13b6\5G$\2\u13b6\u13b7\5Q)\2\u13b7") buf.write("\u13b8\5? \2\u13b8\u13b9\5)\25\2\u13b9\u13ba\5U+\2\u13ba") buf.write("\u13bb\5;\36\2\u13bb\u13bc\5!\21\2\u13bc\u13bd\59\35\2") buf.write("\u13bd\u13be\5)\25\2\u13be\u5853\3\2\2\2\u13bf\u13c0\5") buf.write("U+\2\u13c0\u13c1\59\35\2\u13c1\u13c2\5Q)\2\u13c2\u13c3") buf.write("\5U+\2\u13c3\u13c4\5G$\2\u13c4\u13c5\5C\"\2\u13c5\u13c6") buf.write("\5U+\2\u13c6\u13c7\5G$\2\u13c7\u13c8\5Q)\2\u13c8\u13c9") buf.write("\5? \2\u13c9\u13ca\5)\25\2\u13ca\u13cb\5U+\2\u13cb\u13cc") buf.write("\5;\36\2\u13cc\u13cd\5!\21\2\u13cd\u13ce\59\35\2\u13ce") buf.write("\u13cf\5)\25\2\u13cf\u5853\3\2\2\2\u13d0\u13d1\5U+\2\u13d1") buf.write("\u13d2\5? \2\u13d2\u13d3\5=\37\2\u13d3\u13d4\5\65\33\2") buf.write("\u13d4\u13d5\5)\25\2\u13d5\u13d6\59\35\2\u13d6\u13d7\5") buf.write("=\37\2\u13d7\u13d8\5;\36\2\u13d8\u13d9\5U+\2\u13d9\u13da") buf.write("\5;\36\2\u13da\u13db\5!\21\2\u13db\u13dc\59\35\2\u13dc") buf.write("\u13dd\5)\25\2\u13dd\u13de\5U+\2\u13de\u13df\5)\25\2\u13df") buf.write("\u13e0\5O(\2\u13e0\u13e1\5G$\2\u13e1\u13e2\5C\"\2\u13e2") buf.write("\u13e3\5!\21\2\u13e3\u5853\3\2\2\2\u13e4\u13e5\5U+\2\u13e5") buf.write("\u13e6\5+\26\2\u13e6\u13e7\5\61\31\2\u13e7\u13e8\5C\"") buf.write("\2\u13e8\u13e9\5E#\2\u13e9\u13ea\5G$\2\u13ea\u13eb\5U") buf.write("+\2\u13eb\u13ec\5? \2\u13ec\u13ed\5=\37\2\u13ed\u13ee") buf.write("\5\65\33\2\u13ee\u13ef\5)\25\2\u13ef\u13f0\59\35\2\u13f0") buf.write("\u13f1\5=\37\2\u13f1\u13f2\5;\36\2\u13f2\u13f3\5U+\2\u13f3") buf.write("\u13f4\5;\36\2\u13f4\u13f5\5!\21\2\u13f5\u13f6\59\35\2") buf.write("\u13f6\u13f7\5)\25\2\u13f7\u5853\3\2\2\2\u13f8\u13f9\5") buf.write("U+\2\u13f9\u13fa\5C\"\2\u13fa\u13fb\5\61\31\2\u13fb\u13fc") buf.write("\5K&\2\u13fc\u13fd\5!\21\2\u13fd\u13fe\5\67\34\2\u13fe") buf.write("\u13ff\5U+\2\u13ff\u1400\5? \2\u1400\u1401\5=\37\2\u1401") buf.write("\u1402\5\65\33\2\u1402\u1403\5)\25\2\u1403\u1404\59\35") buf.write("\2\u1404\u1405\5=\37\2\u1405\u1406\5;\36\2\u1406\u1407") buf.write("\5U+\2\u1407\u1408\5;\36\2\u1408\u1409\5!\21\2\u1409\u140a") buf.write("\59\35\2\u140a\u140b\5)\25\2\u140b\u5853\3\2\2\2\u140c") buf.write("\u140d\5U+\2\u140d\u140e\5E#\2\u140e\u140f\5I%\2\u140f") buf.write("\u1410\5? \2\u1410\u1411\5? \2\u1411\u1412\5=\37\2\u1412") buf.write("\u1413\5C\"\2\u1413\u1414\5G$\2\u1414\u1415\5U+\2\u1415") buf.write("\u1416\5? \2\u1416\u1417\5=\37\2\u1417\u1418\5\65\33\2") buf.write("\u1418\u1419\5)\25\2\u1419\u141a\59\35\2\u141a\u141b\5") buf.write("=\37\2\u141b\u141c\5;\36\2\u141c\u141d\5U+\2\u141d\u141e") buf.write("\5;\36\2\u141e\u141f\5!\21\2\u141f\u1420\59\35\2\u1420") buf.write("\u1421\5)\25\2\u1421\u5853\3\2\2\2\u1422\u1423\5U+\2\u1423") buf.write("\u1424\5+\26\2\u1424\u1425\5\61\31\2\u1425\u1426\5C\"") buf.write("\2\u1426\u1427\5E#\2\u1427\u1428\5G$\2\u1428\u1429\5U") buf.write("+\2\u1429\u142a\5? \2\u142a\u142b\5=\37\2\u142b\u142c") buf.write("\5\65\33\2\u142c\u142d\5)\25\2\u142d\u142e\5U+\2\u142e") buf.write("\u142f\5;\36\2\u142f\u1430\5=\37\2\u1430\u1431\5U+\2\u1431") buf.write("\u1432\5-\27\2\u1432\u1433\5)\25\2\u1433\u1434\5G$\2\u1434") buf.write("\u5853\3\2\2\2\u1435\u1436\5U+\2\u1436\u1437\5;\36\2\u1437") buf.write("\u1438\5I%\2\u1438\u1439\5G$\2\u1439\u143a\5E#\2\u143a") buf.write("\u143b\5U+\2\u143b\u143c\5;\36\2\u143c\u143d\5!\21\2\u143d") buf.write("\u143e\59\35\2\u143e\u143f\5)\25\2\u143f\u5853\3\2\2\2") buf.write("\u1440\u1441\5U+\2\u1441\u1442\5E#\2\u1442\u1443\5)\25") buf.write("\2\u1443\u1444\5\61\31\2\u1444\u1445\5\65\33\2\u1445\u1446") buf.write("\5!\21\2\u1446\u1447\5\65\33\2\u1447\u1448\5I%\2\u1448") buf.write("\u1449\5U+\2\u1449\u144a\5;\36\2\u144a\u144b\5!\21\2\u144b") buf.write("\u144c\59\35\2\u144c\u144d\5)\25\2\u144d\u5853\3\2\2\2") buf.write("\u144e\u144f\5U+\2\u144f\u1450\5-\27\2\u1450\u1451\5=") buf.write("\37\2\u1451\u1452\5=\37\2\u1452\u1453\5\'\24\2\u1453\u1454") buf.write("\5E#\2\u1454\u1455\5U+\2\u1455\u1456\5;\36\2\u1456\u1457") buf.write("\5!\21\2\u1457\u1458\59\35\2\u1458\u1459\5)\25\2\u1459") buf.write("\u5853\3\2\2\2\u145a\u145b\5U+\2\u145b\u145c\5G$\2\u145c") buf.write("\u145d\5C\"\2\u145d\u145e\5!\21\2\u145e\u145f\5? \2\u145f") buf.write("\u1460\5U+\2\u1460\u1461\5;\36\2\u1461\u1462\5!\21\2\u1462") buf.write("\u1463\59\35\2\u1463\u1464\5)\25\2\u1464\u5853\3\2\2\2") buf.write("\u1465\u1466\5U+\2\u1466\u1467\5G$\2\u1467\u1468\5!\21") buf.write("\2\u1468\u1469\59\35\2\u1469\u146a\5!\21\2\u146a\u146b") buf.write("\5U+\2\u146b\u146c\5;\36\2\u146c\u146d\5!\21\2\u146d\u146e") buf.write("\59\35\2\u146e\u146f\5)\25\2\u146f\u5853\3\2\2\2\u1470") buf.write("\u1471\5U+\2\u1471\u1472\5S*\2\u1472\u1473\5=\37\2\u1473") buf.write("\u1474\5;\36\2\u1474\u1475\5)\25\2\u1475\u1476\5U+\2\u1476") buf.write("\u1477\5;\36\2\u1477\u1478\5!\21\2\u1478\u1479\59\35\2") buf.write("\u1479\u147a\5)\25\2\u147a\u5853\3\2\2\2\u147b\u147c\5") buf.write("U+\2\u147c\u147d\5-\27\2\u147d\u147e\5)\25\2\u147e\u147f") buf.write("\5;\36\2\u147f\u1480\5)\25\2\u1480\u1481\5C\"\2\u1481") buf.write("\u1482\5!\21\2\u1482\u1483\5G$\2\u1483\u1484\5)\25\2\u1484") buf.write("\u1485\5U+\2\u1485\u1486\5\61\31\2\u1486\u1487\5;\36\2") buf.write("\u1487\u1488\5+\26\2\u1488\u1489\5=\37\2\u1489\u148a\5") 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buf.write("\u15c9\5!\21\2\u15c9\u15ca\5\61\31\2\u15ca\u15cb\5;\36") buf.write("\2\u15cb\u15cc\5)\25\2\u15cc\u15cd\5C\"\2\u15cd\u15ce") buf.write("\5U+\2\u15ce\u15cf\5+\26\2\u15cf\u15d0\5\67\34\2\u15d0") buf.write("\u15d1\5!\21\2\u15d1\u15d2\5-\27\2\u15d2\u15d3\5U+\2\u15d3") buf.write("\u15d4\5E#\2\u15d4\u15d5\5)\25\2\u15d5\u15d6\5G$\2\u15d6") buf.write("\u5853\3\2\2\2\u15d7\u15d8\5U+\2\u15d8\u15d9\5\'\24\2") buf.write("\u15d9\u15da\5)\25\2\u15da\u15db\5#\22\2\u15db\u15dc\5") buf.write("I%\2\u15dc\u15dd\5-\27\2\u15dd\u15de\5U+\2\u15de\u15df") buf.write("\5G$\2\u15df\u15e0\5C\"\2\u15e0\u15e1\5!\21\2\u15e1\u15e2") buf.write("\5\61\31\2\u15e2\u15e3\5;\36\2\u15e3\u15e4\5)\25\2\u15e4") buf.write("\u15e5\5C\"\2\u15e5\u15e6\5U+\2\u15e6\u15e7\5+\26\2\u15e7") buf.write("\u15e8\5\67\34\2\u15e8\u15e9\5!\21\2\u15e9\u15ea\5-\27") buf.write("\2\u15ea\u15eb\5U+\2\u15eb\u15ec\5=\37\2\u15ec\u15ed\5") buf.write(";\36\2\u15ed\u15ee\5U+\2\u15ee\u15ef\5\63\32\2\u15ef\u15f0") buf.write("\5I%\2\u15f0\u15f1\59\35\2\u15f1\u15f2\5? \2\u15f2\u5853") buf.write("\3\2\2\2\u15f3\u15f4\5U+\2\u15f4\u15f5\5\'\24\2\u15f5") buf.write("\u15f6\5)\25\2\u15f6\u15f7\5#\22\2\u15f7\u15f8\5I%\2\u15f8") buf.write("\u15f9\5-\27\2\u15f9\u15fa\5U+\2\u15fa\u15fb\5G$\2\u15fb") buf.write("\u15fc\5C\"\2\u15fc\u15fd\5U+\2\u15fd\u15fe\5G$\2\u15fe") buf.write("\u15ff\5!\21\2\u15ff\u1600\5\67\34\2\u1600\u1601\5\65") buf.write("\33\2\u1601\u1602\5U+\2\u1602\u1603\5#\22\2\u1603\u1604") buf.write("\5G$\2\u1604\u1605\5\67\34\2\u1605\u5853\3\2\2\2\u1606") buf.write("\u1607\5U+\2\u1607\u1608\5E#\2\u1608\u1609\5)\25\2\u1609") buf.write("\u160a\5\67\34\2\u160a\u160b\5U+\2\u160b\u160c\5? \2\u160c") buf.write("\u160d\5!\21\2\u160d\u160e\5C\"\2\u160e\u160f\5)\25\2") buf.write("\u160f\u1610\5;\36\2\u1610\u1611\5G$\2\u1611\u1612\5U") buf.write("+\2\u1612\u1613\5M\'\2\u1613\u1614\5\61\31\2\u1614\u1615") buf.write("\5;\36\2\u1615\u5853\3\2\2\2\u1616\u1617\5U+\2\u1617\u1618") buf.write("\5E#\2\u1618\u1619\5)\25\2\u1619\u161a\5\67\34\2\u161a") buf.write("\u161b\5U+\2\u161b\u161c\5%\23\2\u161c\u161d\5/\30\2\u161d") buf.write("\u161e\5\61\31\2\u161e\u161f\5\67\34\2\u161f\u1620\5\'") buf.write("\24\2\u1620\u1621\5U+\2\u1621\u1622\5M\'\2\u1622\u1623") buf.write("\5\61\31\2\u1623\u1624\5;\36\2\u1624\u5853\3\2\2\2\u1625") buf.write("\u1626\5U+\2\u1626\u1627\5\'\24\2\u1627\u1628\5)\25\2") buf.write("\u1628\u1629\5#\22\2\u1629\u162a\5I%\2\u162a\u162b\5-") buf.write("\27\2\u162b\u162c\5U+\2\u162c\u162d\5? \2\u162d\u162e") buf.write("\5!\21\2\u162e\u162f\5C\"\2\u162f\u1630\5)\25\2\u1630") buf.write("\u1631\5;\36\2\u1631\u1632\5G$\2\u1632\u1633\5U+\2\u1633") buf.write("\u1634\5M\'\2\u1634\u1635\5\61\31\2\u1635\u1636\5;\36") buf.write("\2\u1636\u5853\3\2\2\2\u1637\u1638\5U+\2\u1638\u1639\5") buf.write("\'\24\2\u1639\u163a\5)\25\2\u163a\u163b\5#\22\2\u163b") buf.write("\u163c\5I%\2\u163c\u163d\5-\27\2\u163d\u163e\5U+\2\u163e") buf.write("\u163f\5%\23\2\u163f\u1640\5/\30\2\u1640\u1641\5\61\31") buf.write("\2\u1641\u1642\5\67\34\2\u1642\u1643\5\'\24\2\u1643\u1644") buf.write("\5U+\2\u1644\u1645\5M\'\2\u1645\u1646\5\61\31\2\u1646") buf.write("\u1647\5;\36\2\u1647\u5853\3\2\2\2\u1648\u1649\5U+\2\u1649") buf.write("\u164a\5\'\24\2\u164a\u164b\5)\25\2\u164b\u164c\5#\22") buf.write("\2\u164c\u164d\5I%\2\u164d\u164e\5-\27\2\u164e\u164f\5") buf.write("U+\2\u164f\u1650\5E#\2\u1650\u1651\5\61\31\2\u1651\u1652") buf.write("\5=\37\2\u1652\u1653\5U+\2\u1653\u1654\5)\25\2\u1654\u1655") buf.write("\5;\36\2\u1655\u1656\5%\23\2\u1656\u1657\5=\37\2\u1657") buf.write("\u1658\5I%\2\u1658\u1659\5;\36\2\u1659\u165a\5G$\2\u165a") buf.write("\u5853\3\2\2\2\u165b\u165c\5U+\2\u165c\u165d\5\'\24\2") buf.write("\u165d\u165e\5)\25\2\u165e\u165f\5#\22\2\u165f\u1660\5") buf.write("I%\2\u1660\u1661\5-\27\2\u1661\u1662\5U+\2\u1662\u1663") buf.write("\5E#\2\u1663\u1664\5\61\31\2\u1664\u1665\5=\37\2\u1665") buf.write("\u1666\5U+\2\u1666\u1667\5%\23\2\u1667\u1668\5=\37\2\u1668") buf.write("\u1669\5;\36\2\u1669\u166a\5G$\2\u166a\u166b\5)\25\2\u166b") buf.write("\u166c\5E#\2\u166c\u166d\5G$\2\u166d\u5853\3\2\2\2\u166e") buf.write("\u166f\5U+\2\u166f\u1670\5%\23\2\u1670\u1671\5=\37\2\u1671") buf.write("\u1672\5;\36\2\u1672\u1673\5E#\2\u1673\u1674\5\61\31\2") buf.write("\u1674\u1675\5=\37\2\u1675\u1676\5U+\2\u1676\u1677\5G") buf.write("$\2\u1677\u1678\5\61\31\2\u1678\u1679\59\35\2\u1679\u167a") buf.write("\5\61\31\2\u167a\u167b\5;\36\2\u167b\u167c\5-\27\2\u167c") buf.write("\u167d\5U+\2\u167d\u167e\5E#\2\u167e\u167f\5)\25\2\u167f") buf.write("\u1680\5;\36\2\u1680\u1681\5\'\24\2\u1681\u5853\3\2\2") buf.write("\2\u1682\u1683\5U+\2\u1683\u1684\5%\23\2\u1684\u1685\5") buf.write("=\37\2\u1685\u1686\5;\36\2\u1686\u1687\5E#\2\u1687\u1688") buf.write("\5\61\31\2\u1688\u1689\5=\37\2\u1689\u168a\5U+\2\u168a") buf.write("\u168b\5G$\2\u168b\u168c\5\61\31\2\u168c\u168d\59\35\2") buf.write("\u168d\u168e\5\61\31\2\u168e\u168f\5;\36\2\u168f\u1690") buf.write("\5-\27\2\u1690\u1691\5U+\2\u1691\u1692\5%\23\2\u1692\u1693") buf.write("\5/\30\2\u1693\u1694\5)\25\2\u1694\u1695\5%\23\2\u1695") buf.write("\u1696\5\65\33\2\u1696\u5853\3\2\2\2\u1697\u1698\5U+\2") buf.write("\u1698\u1699\5%\23\2\u1699\u169a\5=\37\2\u169a\u169b\5") buf.write(";\36\2\u169b\u169c\5U+\2\u169c\u169d\5E#\2\u169d\u169e") buf.write("\5Q)\2\u169e\u169f\5E#\2\u169f\u16a0\5G$\2\u16a0\u16a1") buf.write("\5)\25\2\u16a1\u16a2\59\35\2\u16a2\u16a3\5U+\2\u16a3\u16a4") buf.write("\5%\23\2\u16a4\u16a5\5C\"\2\u16a5\u16a6\5)\25\2\u16a6") buf.write("\u16a7\5!\21\2\u16a7\u16a8\5G$\2\u16a8\u16a9\5)\25\2\u16a9") buf.write("\u5853\3\2\2\2\u16aa\u16ab\5U+\2\u16ab\u16ac\5%\23\2\u16ac") buf.write("\u16ad\5=\37\2\u16ad\u16ae\5;\36\2\u16ae\u16af\5U+\2\u16af") buf.write("\u16b0\5E#\2\u16b0\u16b1\5Q)\2\u16b1\u16b2\5E#\2\u16b2") buf.write("\u16b3\5G$\2\u16b3\u16b4\5)\25\2\u16b4\u16b5\59\35\2\u16b5") buf.write("\u16b6\5U+\2\u16b6\u16b7\5)\25\2\u16b7\u16b8\5O(\2\u16b8") buf.write("\u16b9\5\61\31\2\u16b9\u16ba\5G$\2\u16ba\u5853\3\2\2\2") buf.write("\u16bb\u16bc\5U+\2\u16bc\u16bd\5%\23\2\u16bd\u16be\5=") buf.write("\37\2\u16be\u16bf\5;\36\2\u16bf\u16c0\5U+\2\u16c0\u16c1") buf.write("\5\63\32\2\u16c1\u16c2\5I%\2\u16c2\u16c3\5\'\24\2\u16c3") buf.write("\u16c4\5-\27\2\u16c4\u16c5\5)\25\2\u16c5\u16c6\5U+\2\u16c6") buf.write("\u16c7\5;\36\2\u16c7\u16c8\5!\21\2\u16c8\u16c9\59\35\2") buf.write("\u16c9\u16ca\5)\25\2\u16ca\u16cb\5U+\2\u16cb\u16cc\5-") buf.write("\27\2\u16cc\u16cd\5)\25\2\u16cd\u16ce\5G$\2\u16ce\u5853") buf.write("\3\2\2\2\u16cf\u16d0\5U+\2\u16d0\u16d1\5%\23\2\u16d1\u16d2") buf.write("\5=\37\2\u16d2\u16d3\5;\36\2\u16d3\u16d4\5U+\2\u16d4\u16d5") buf.write("\5#\22\2\u16d5\u16d6\5C\"\2\u16d6\u16d7\5)\25\2\u16d7") buf.write("\u16d8\5)\25\2\u16d8\u16d9\5\'\24\2\u16d9\u16da\5)\25") buf.write("\2\u16da\u16db\5C\"\2\u16db\u16dc\5U+\2\u16dc\u16dd\5") buf.write(";\36\2\u16dd\u16de\5!\21\2\u16de\u16df\59\35\2\u16df\u16e0") buf.write("\5)\25\2\u16e0\u16e1\5U+\2\u16e1\u16e2\5-\27\2\u16e2\u16e3") buf.write("\5)\25\2\u16e3\u16e4\5G$\2\u16e4\u5853\3\2\2\2\u16e5\u16e6") buf.write("\5U+\2\u16e6\u16e7\5%\23\2\u16e7\u16e8\5=\37\2\u16e8\u16e9") buf.write("\5;\36\2\u16e9\u16ea\5U+\2\u16ea\u16eb\5;\36\2\u16eb\u16ec") buf.write("\5\61\31\2\u16ec\u16ed\5%\23\2\u16ed\u16ee\5\65\33\2\u16ee") buf.write("\u16ef\5U+\2\u16ef\u16f0\5;\36\2\u16f0\u16f1\5!\21\2\u16f1") buf.write("\u16f2\59\35\2\u16f2\u16f3\5)\25\2\u16f3\u16f4\5U+\2\u16f4") buf.write("\u16f5\5-\27\2\u16f5\u16f6\5)\25\2\u16f6\u16f7\5G$\2\u16f7") buf.write("\u5853\3\2\2\2\u16f8\u16f9\5U+\2\u16f9\u16fa\5%\23\2\u16fa") buf.write("\u16fb\5=\37\2\u16fb\u16fc\5;\36\2\u16fc\u16fd\5U+\2\u16fd") buf.write("\u16fe\5;\36\2\u16fe\u16ff\5I%\2\u16ff\u1700\59\35\2\u1700") buf.write("\u1701\5U+\2\u1701\u1702\5G$\2\u1702\u1703\5!\21\2\u1703") buf.write("\u1704\5-\27\2\u1704\u1705\5U+\2\u1705\u1706\5E#\2\u1706") buf.write("\u1707\5)\25\2\u1707\u1708\5G$\2\u1708\u5853\3\2\2\2\u1709") buf.write("\u170a\5U+\2\u170a\u170b\5%\23\2\u170b\u170c\5=\37\2\u170c") buf.write("\u170d\5;\36\2\u170d\u170e\5U+\2\u170e\u170f\5E#\2\u170f") buf.write("\u1710\5\61\31\2\u1710\u1711\5=\37\2\u1711\u1712\5U+\2") buf.write("\u1712\u1713\5? \2\u1713\u1714\5!\21\2\u1714\u1715\5C") buf.write("\"\2\u1715\u1716\5!\21\2\u1716\u1717\59\35\2\u1717\u1718") buf.write("\5U+\2\u1718\u1719\5\61\31\2\u1719\u171a\5;\36\2\u171a") buf.write("\u171b\5\61\31\2\u171b\u171c\5G$\2\u171c\u171d\5U+\2\u171d") buf.write("\u171e\5E#\2\u171e\u171f\5)\25\2\u171f\u1720\5G$\2\u1720") buf.write("\u5853\3\2\2\2\u1721\u1722\5U+\2\u1722\u1723\5%\23\2\u1723") buf.write("\u1724\5=\37\2\u1724\u1725\5;\36\2\u1725\u1726\5G$\2\u1726") buf.write("\u1727\5)\25\2\u1727\u1728\5E#\2\u1728\u1729\5G$\2\u1729") buf.write("\u172a\5U+\2\u172a\u172b\5? \2\u172b\u172c\5C\"\2\u172c") buf.write("\u172d\5=\37\2\u172d\u172e\5%\23\2\u172e\u5853\3\2\2\2") buf.write("\u172f\u1730\5U+\2\u1730\u1731\5%\23\2\u1731\u1732\5=") buf.write("\37\2\u1732\u1733\5;\36\2\u1733\u1734\5U+\2\u1734\u1735") buf.write("\5C\"\2\u1735\u1736\5!\21\2\u1736\u1737\5;\36\2\u1737") buf.write("\u1738\5\65\33\2\u1738\u1739\5U+\2\u1739\u173a\5;\36\2") buf.write("\u173a\u173b\5!\21\2\u173b\u173c\59\35\2\u173c\u173d\5") buf.write(")\25\2\u173d\u173e\5U+\2\u173e\u173f\5-\27\2\u173f\u1740") buf.write("\5)\25\2\u1740\u1741\5G$\2\u1741\u5853\3\2\2\2\u1742\u1743") buf.write("\5U+\2\u1743\u1744\5%\23\2\u1744\u1745\5=\37\2\u1745\u1746") buf.write("\5;\36\2\u1746\u1747\5U+\2\u1747\u1748\5G$\2\u1748\u1749") buf.write("\5Q)\2\u1749\u174a\5? \2\u174a\u174b\5)\25\2\u174b\u174c") buf.write("\5U+\2\u174c\u174d\5;\36\2\u174d\u174e\5!\21\2\u174e\u174f") buf.write("\59\35\2\u174f\u1750\5)\25\2\u1750\u1751\5U+\2\u1751\u1752") buf.write("\5-\27\2\u1752\u1753\5)\25\2\u1753\u1754\5G$\2\u1754\u5853") buf.write("\3\2\2\2\u1755\u1756\5U+\2\u1756\u1757\5%\23\2\u1757\u1758") buf.write("\5=\37\2\u1758\u1759\5;\36\2\u1759\u175a\5U+\2\u175a\u175b") buf.write("\5K&\2\u175b\u175c\5\61\31\2\u175c\u175d\5%\23\2\u175d") buf.write("\u175e\5G$\2\u175e\u175f\5=\37\2\u175f\u1760\5C\"\2\u1760") buf.write("\u1761\5Q)\2\u1761\u1762\5U+\2\u1762\u1763\5#\22\2\u1763") buf.write("\u1764\5C\"\2\u1764\u1765\5)\25\2\u1765\u1766\5)\25\2") buf.write("\u1766\u1767\5\'\24\2\u1767\u1768\5)\25\2\u1768\u1769") buf.write("\5C\"\2\u1769\u176a\5U+\2\u176a\u176b\5;\36\2\u176b\u176c") buf.write("\5!\21\2\u176c\u176d\59\35\2\u176d\u176e\5)\25\2\u176e") buf.write("\u176f\5U+\2\u176f\u1770\5-\27\2\u1770\u1771\5)\25\2\u1771") buf.write("\u1772\5G$\2\u1772\u5853\3\2\2\2\u1773\u1774\5U+\2\u1774") buf.write("\u1775\5%\23\2\u1775\u1776\5=\37\2\u1776\u1777\5;\36\2") buf.write("\u1777\u1778\5U+\2\u1778\u1779\5K&\2\u1779\u177a\5\61") buf.write("\31\2\u177a\u177b\5%\23\2\u177b\u177c\5G$\2\u177c\u177d") buf.write("\5=\37\2\u177d\u177e\5C\"\2\u177e\u177f\5Q)\2\u177f\u1780") buf.write("\5U+\2\u1780\u1781\5\61\31\2\u1781\u1782\5G$\2\u1782\u1783") buf.write("\5)\25\2\u1783\u1784\59\35\2\u1784\u1785\5U+\2\u1785\u1786") buf.write("\5;\36\2\u1786\u1787\5=\37\2\u1787\u1788\5U+\2\u1788\u1789") buf.write("\5-\27\2\u1789\u178a\5)\25\2\u178a\u178b\5G$\2\u178b\u5853") buf.write("\3\2\2\2\u178c\u178d\5U+\2\u178d\u178e\5%\23\2\u178e\u178f") buf.write("\5=\37\2\u178f\u1790\5;\36\2\u1790\u1791\5U+\2\u1791\u1792") buf.write("\5K&\2\u1792\u1793\5\61\31\2\u1793\u1794\5%\23\2\u1794") buf.write("\u1795\5G$\2\u1795\u1796\5=\37\2\u1796\u1797\5C\"\2\u1797") buf.write("\u1798\5Q)\2\u1798\u1799\5U+\2\u1799\u179a\5;\36\2\u179a") buf.write("\u179b\5\61\31\2\u179b\u179c\5%\23\2\u179c\u179d\5\65") buf.write("\33\2\u179d\u179e\5U+\2\u179e\u179f\5;\36\2\u179f\u17a0") buf.write("\5!\21\2\u17a0\u17a1\59\35\2\u17a1\u17a2\5)\25\2\u17a2") buf.write("\u17a3\5U+\2\u17a3\u17a4\5-\27\2\u17a4\u17a5\5)\25\2\u17a5") buf.write("\u17a6\5G$\2\u17a6\u5853\3\2\2\2\u17a7\u17a8\5U+\2\u17a8") buf.write("\u17a9\5%\23\2\u17a9\u17aa\5=\37\2\u17aa\u17ab\5;\36\2") buf.write("\u17ab\u17ac\5U+\2\u17ac\u17ad\5C\"\2\u17ad\u17ae\5!\21") buf.write("\2\u17ae\u17af\5;\36\2\u17af\u17b0\5\65\33\2\u17b0\u17b1") buf.write("\5\61\31\2\u17b1\u17b2\5;\36\2\u17b2\u17b3\5-\27\2\u17b3") buf.write("\u17b4\5U+\2\u17b4\u17b5\5%\23\2\u17b5\u17b6\5/\30\2\u17b6") buf.write("\u17b7\5)\25\2\u17b7\u17b8\5%\23\2\u17b8\u17b9\5\65\33") buf.write("\2\u17b9\u5853\3\2\2\2\u17ba\u17bb\5U+\2\u17bb\u17bc\5") buf.write("%\23\2\u17bc\u17bd\5=\37\2\u17bd\u17be\5;\36\2\u17be\u17bf") buf.write("\5U+\2\u17bf\u17c0\5K&\2\u17c0\u17c1\5\61\31\2\u17c1\u17c2") buf.write("\5%\23\2\u17c2\u17c3\5G$\2\u17c3\u17c4\5=\37\2\u17c4\u17c5") buf.write("\5C\"\2\u17c5\u17c6\5Q)\2\u17c6\u17c7\5U+\2\u17c7\u17c8") buf.write("\5)\25\2\u17c8\u17c9\5;\36\2\u17c9\u17ca\5G$\2\u17ca\u17cb") buf.write("\5C\"\2\u17cb\u17cc\5Q)\2\u17cc\u17cd\5U+\2\u17cd\u17ce") buf.write("\5;\36\2\u17ce\u17cf\5=\37\2\u17cf\u17d0\5U+\2\u17d0\u17d1") buf.write("\5-\27\2\u17d1\u17d2\5)\25\2\u17d2\u17d3\5G$\2\u17d3\u5853") buf.write("\3\2\2\2\u17d4\u17d5\5U+\2\u17d5\u17d6\5%\23\2\u17d6\u17d7") buf.write("\5=\37\2\u17d7\u17d8\5;\36\2\u17d8\u17d9\5U+\2\u17d9\u17da") buf.write("\59\35\2\u17da\u17db\5Q)\2\u17db\u17dc\5U+\2\u17dc\u17dd") buf.write("\5)\25\2\u17dd\u17de\5;\36\2\u17de\u17df\5G$\2\u17df\u17e0") buf.write("\5C\"\2\u17e0\u17e1\5Q)\2\u17e1\u17e2\5U+\2\u17e2\u17e3") buf.write("\5;\36\2\u17e3\u17e4\5=\37\2\u17e4\u17e5\5U+\2\u17e5\u17e6") buf.write("\5-\27\2\u17e6\u17e7\5)\25\2\u17e7\u17e8\5G$\2\u17e8\u5853") buf.write("\3\2\2\2\u17e9\u17ea\5U+\2\u17ea\u17eb\5%\23\2\u17eb\u17ec") buf.write("\5=\37\2\u17ec\u17ed\5;\36\2\u17ed\u17ee\5U+\2\u17ee\u17ef") buf.write("\5=\37\2\u17ef\u17f0\5#\22\2\u17f0\u17f1\5\63\32\2\u17f1") buf.write("\u17f2\5U+\2\u17f2\u17f3\5%\23\2\u17f3\u17f4\5=\37\2\u17f4") buf.write("\u17f5\5\'\24\2\u17f5\u17f6\5)\25\2\u17f6\u17f7\5U+\2") buf.write("\u17f7\u17f8\5-\27\2\u17f8\u17f9\5)\25\2\u17f9\u17fa\5") buf.write("G$\2\u17fa\u5853\3\2\2\2\u17fb\u17fc\5U+\2\u17fc\u17fd") buf.write("\5%\23\2\u17fd\u17fe\5=\37\2\u17fe\u17ff\5;\36\2\u17ff") buf.write("\u1800\5U+\2\u1800\u1801\5? \2\u1801\u1802\5=\37\2\u1802") buf.write("\u1803\5? \2\u1803\u1804\5I%\2\u1804\u1805\5\67\34\2\u1805") buf.write("\u1806\5!\21\2\u1806\u1807\5C\"\2\u1807\u1808\5\61\31") buf.write("\2\u1808\u1809\5G$\2\u1809\u180a\5Q)\2\u180a\u180b\5U") buf.write("+\2\u180b\u180c\5-\27\2\u180c\u180d\5)\25\2\u180d\u180e") buf.write("\5G$\2\u180e\u5853\3\2\2\2\u180f\u1810\5U+\2\u1810\u1811") buf.write("\5%\23\2\u1811\u1812\5=\37\2\u1812\u1813\5;\36\2\u1813") buf.write("\u1814\5U+\2\u1814\u1815\5\'\24\2\u1815\u1816\5)\25\2") buf.write("\u1816\u1817\5E#\2\u1817\u1818\5\65\33\2\u1818\u1819\5") buf.write("U+\2\u1819\u181a\59\35\2\u181a\u181b\5=\37\2\u181b\u181c") buf.write("\5\'\24\2\u181c\u181d\5)\25\2\u181d\u181e\5U+\2\u181e") buf.write("\u181f\5-\27\2\u181f\u1820\5)\25\2\u1820\u1821\5G$\2\u1821") buf.write("\u5853\3\2\2\2\u1822\u1823\5U+\2\u1823\u1824\5%\23\2\u1824") buf.write("\u1825\5=\37\2\u1825\u1826\5;\36\2\u1826\u1827\5U+\2\u1827") buf.write("\u1828\5/\30\2\u1828\u1829\5!\21\2\u1829\u182a\5K&\2\u182a") buf.write("\u182b\5)\25\2\u182b\u182c\5U+\2\u182c\u182d\5C\"\2\u182d") buf.write("\u182e\5\61\31\2\u182e\u182f\5#\22\2\u182f\u1830\5#\22") buf.write("\2\u1830\u1831\5=\37\2\u1831\u1832\5;\36\2\u1832\u1833") buf.write("\5U+\2\u1833\u1834\5%\23\2\u1834\u1835\5/\30\2\u1835\u1836") buf.write("\5)\25\2\u1836\u1837\5%\23\2\u1837\u1838\5\65\33\2\u1838") buf.write("\u5853\3\2\2\2\u1839\u183a\5U+\2\u183a\u183b\5%\23\2\u183b") buf.write("\u183c\5=\37\2\u183c\u183d\5;\36\2\u183d\u183e\5U+\2\u183e") buf.write("\u183f\5C\"\2\u183f\u1840\5\61\31\2\u1840\u1841\5#\22") buf.write("\2\u1841\u1842\5#\22\2\u1842\u1843\5=\37\2\u1843\u1844") buf.write("\5;\36\2\u1844\u1845\5U+\2\u1845\u1846\5;\36\2\u1846\u1847") buf.write("\5!\21\2\u1847\u1848\59\35\2\u1848\u1849\5)\25\2\u1849") buf.write("\u184a\5U+\2\u184a\u184b\5-\27\2\u184b\u184c\5)\25\2\u184c") buf.write("\u184d\5G$\2\u184d\u5853\3\2\2\2\u184e\u184f\5U+\2\u184f") buf.write("\u1850\5%\23\2\u1850\u1851\5=\37\2\u1851\u1852\5;\36\2") buf.write("\u1852\u1853\5U+\2\u1853\u1854\5!\21\2\u1854\u1855\5%") buf.write("\23\2\u1855\u1856\5%\23\2\u1856\u1857\5)\25\2\u1857\u1858") buf.write("\5U+\2\u1858\u1859\5;\36\2\u1859\u185a\5=\37\2\u185a\u185b") buf.write("\5U+\2\u185b\u185c\5-\27\2\u185c\u185d\5)\25\2\u185d\u185e") buf.write("\5G$\2\u185e\u5853\3\2\2\2\u185f\u1860\5U+\2\u1860\u1861") buf.write("\5%\23\2\u1861\u1862\5=\37\2\u1862\u1863\5;\36\2\u1863") buf.write("\u1864\5U+\2\u1864\u1865\5)\25\2\u1865\u1866\5;\36\2\u1866") buf.write("\u1867\5G$\2\u1867\u1868\5C\"\2\u1868\u1869\5Q)\2\u1869") buf.write("\u186a\5U+\2\u186a\u186b\5? \2\u186b\u186c\5!\21\2\u186c") buf.write("\u186d\5C\"\2\u186d\u186e\5!\21\2\u186e\u186f\59\35\2") buf.write("\u186f\u1870\5U+\2\u1870\u1871\5-\27\2\u1871\u1872\5)") buf.write("\25\2\u1872\u1873\5G$\2\u1873\u5853\3\2\2\2\u1874\u1875") buf.write("\5U+\2\u1875\u1876\5%\23\2\u1876\u1877\5=\37\2\u1877\u1878") buf.write("\5;\36\2\u1878\u1879\5U+\2\u1879\u187a\5%\23\2\u187a\u187b") buf.write("\5!\21\2\u187b\u187c\59\35\2\u187c\u187d\5)\25\2\u187d") buf.write("\u187e\5C\"\2\u187e\u187f\5!\21\2\u187f\u1880\5U+\2\u1880") buf.write("\u1881\5+\26\2\u1881\u1882\5\67\34\2\u1882\u1883\5!\21") buf.write("\2\u1883\u1884\5E#\2\u1884\u1885\5/\30\2\u1885\u1886\5") buf.write("U+\2\u1886\u1887\5E#\2\u1887\u1888\5)\25\2\u1888\u1889") buf.write("\5G$\2\u1889\u5853\3\2\2\2\u188a\u188b\5U+\2\u188b\u188c") buf.write("\5%\23\2\u188c\u188d\5=\37\2\u188d\u188e\5;\36\2\u188e") buf.write("\u188f\5U+\2\u188f\u1890\5%\23\2\u1890\u1891\5!\21\2\u1891") buf.write("\u1892\59\35\2\u1892\u1893\5)\25\2\u1893\u1894\5C\"\2") buf.write("\u1894\u1895\5!\21\2\u1895\u1896\5U+\2\u1896\u1897\5+") buf.write("\26\2\u1897\u1898\5\67\34\2\u1898\u1899\5!\21\2\u1899") buf.write("\u189a\5E#\2\u189a\u189b\5/\30\2\u189b\u189c\5U+\2\u189c") buf.write("\u189d\5%\23\2\u189d\u189e\5/\30\2\u189e\u189f\5)\25\2") buf.write("\u189f\u18a0\5%\23\2\u18a0\u18a1\5\65\33\2\u18a1\u5853") buf.write("\3\2\2\2\u18a2\u18a3\5U+\2\u18a3\u18a4\5%\23\2\u18a4\u18a5") buf.write("\5=\37\2\u18a5\u18a6\5;\36\2\u18a6\u18a7\5U+\2\u18a7\u18a8") buf.write("\5/\30\2\u18a8\u18a9\5#\22\2\u18a9\u18aa\5\67\34\2\u18aa") buf.write("\u18ab\5!\21\2\u18ab\u18ac\5;\36\2\u18ac\u18ad\5\65\33") buf.write("\2\u18ad\u18ae\5U+\2\u18ae\u18af\5E#\2\u18af\u18b0\5G") buf.write("$\2\u18b0\u18b1\5=\37\2\u18b1\u18b2\5? \2\u18b2\u5853") buf.write("\3\2\2\2\u18b3\u18b4\5U+\2\u18b4\u18b5\5%\23\2\u18b5\u18b6") buf.write("\5=\37\2\u18b6\u18b7\5;\36\2\u18b7\u18b8\5U+\2\u18b8\u18b9") buf.write("\5/\30\2\u18b9\u18ba\5#\22\2\u18ba\u18bb\5\67\34\2\u18bb") buf.write("\u18bc\5!\21\2\u18bc\u18bd\5;\36\2\u18bd\u18be\5\65\33") buf.write("\2\u18be\u18bf\5U+\2\u18bf\u18c0\5E#\2\u18c0\u18c1\5G") buf.write("$\2\u18c1\u18c2\5!\21\2\u18c2\u18c3\5C\"\2\u18c3\u18c4") buf.write("\5G$\2\u18c4\u5853\3\2\2\2\u18c5\u18c6\5U+\2\u18c6\u18c7") buf.write("\5%\23\2\u18c7\u18c8\5=\37\2\u18c8\u18c9\5;\36\2\u18c9") buf.write("\u18ca\5U+\2\u18ca\u18cb\5)\25\2\u18cb\u18cc\5;\36\2\u18cc") buf.write("\u18cd\5\'\24\2\u18cd\u18ce\5\61\31\2\u18ce\u18cf\5;\36") buf.write("\2\u18cf\u18d0\5-\27\2\u18d0\u18d1\5U+\2\u18d1\u18d2\5") buf.write("E#\2\u18d2\u18d3\5\65\33\2\u18d3\u18d4\5\61\31\2\u18d4") buf.write("\u18d5\5? \2\u18d5\u18d6\5U+\2\u18d6\u18d7\5%\23\2\u18d7") buf.write("\u18d8\5/\30\2\u18d8\u18d9\5)\25\2\u18d9\u18da\5%\23\2") buf.write("\u18da\u18db\5\65\33\2\u18db\u5853\3\2\2\2\u18dc\u18dd") buf.write("\5U+\2\u18dd\u18de\5%\23\2\u18de\u18df\5=\37\2\u18df\u18e0") buf.write("\5;\36\2\u18e0\u18e1\5U+\2\u18e1\u18e2\5C\"\2\u18e2\u18e3") buf.write("\5)\25\2\u18e3\u18e4\5%\23\2\u18e4\u18e5\5=\37\2\u18e5") buf.write("\u18e6\5C\"\2\u18e6\u18e7\5\'\24\2\u18e7\u18e8\5U+\2\u18e8") buf.write("\u18e9\5\'\24\2\u18e9\u18ea\5\61\31\2\u18ea\u18eb\5E#") buf.write("\2\u18eb\u18ec\5? \2\u18ec\u5853\3\2\2\2\u18ed\u18ee\5") buf.write("U+\2\u18ee\u18ef\5%\23\2\u18ef\u18f0\5=\37\2\u18f0\u18f1") buf.write("\5;\36\2\u18f1\u18f2\5U+\2\u18f2\u18f3\59\35\2\u18f3\u18f4") buf.write("\5E#\2\u18f4\u18f5\5-\27\2\u18f5\u18f6\5? \2\u18f6\u18f7") buf.write("\5C\"\2\u18f7\u18f8\5\61\31\2\u18f8\u18f9\5;\36\2\u18f9") buf.write("\u18fa\5G$\2\u18fa\u18fb\5U+\2\u18fb\u18fc\5+\26\2\u18fc") buf.write("\u18fd\5\67\34\2\u18fd\u18fe\5!\21\2\u18fe\u18ff\5-\27") buf.write("\2\u18ff\u1900\5U+\2\u1900\u1901\5E#\2\u1901\u1902\5)") buf.write("\25\2\u1902\u1903\5G$\2\u1903\u5853\3\2\2\2\u1904\u1905") buf.write("\5U+\2\u1905\u1906\5%\23\2\u1906\u1907\5=\37\2\u1907\u1908") buf.write("\5;\36\2\u1908\u1909\5U+\2\u1909\u190a\59\35\2\u190a\u190b") buf.write("\5E#\2\u190b\u190c\5-\27\2\u190c\u190d\5? \2\u190d\u190e") buf.write("\5C\"\2\u190e\u190f\5\61\31\2\u190f\u1910\5;\36\2\u1910") buf.write("\u1911\5G$\2\u1911\u1912\5U+\2\u1912\u1913\5+\26\2\u1913") buf.write("\u1914\5\67\34\2\u1914\u1915\5!\21\2\u1915\u1916\5-\27") buf.write("\2\u1916\u1917\5U+\2\u1917\u1918\5C\"\2\u1918\u1919\5") buf.write(")\25\2\u1919\u191a\5E#\2\u191a\u191b\5)\25\2\u191b\u191c") buf.write("\5G$\2\u191c\u5853\3\2\2\2\u191d\u191e\5U+\2\u191e\u191f") buf.write("\5E#\2\u191f\u1920\5? \2\u1920\u1921\5U+\2\u1921\u1922") buf.write("\5\67\34\2\u1922\u1923\5=\37\2\u1923\u1924\5%\23\2\u1924") buf.write("\u1925\5!\21\2\u1925\u1926\5G$\2\u1926\u1927\5\61\31\2") buf.write("\u1927\u1928\5=\37\2\u1928\u1929\5;\36\2\u1929\u192a\5") buf.write("U+\2\u192a\u192b\5E#\2\u192b\u192c\5)\25\2\u192c\u192d") buf.write("\5G$\2\u192d\u5853\3\2\2\2\u192e\u192f\5U+\2\u192f\u1930") buf.write("\5)\25\2\u1930\u1931\5\67\34\2\u1931\u1932\5)\25\2\u1932") buf.write("\u1933\5K&\2\u1933\u1934\5!\21\2\u1934\u1935\5G$\2\u1935") buf.write("\u1936\5=\37\2\u1936\u1937\5C\"\2\u1937\u1938\5U+\2\u1938") buf.write("\u1939\5+\26\2\u1939\u193a\5\67\34\2\u193a\u193b\5=\37") buf.write("\2\u193b\u193c\5=\37\2\u193c\u193d\5C\"\2\u193d\u193e") buf.write("\5U+\2\u193e\u193f\5-\27\2\u193f\u1940\5)\25\2\u1940\u1941") buf.write("\5G$\2\u1941\u5853\3\2\2\2\u1942\u1943\5U+\2\u1943\u1944") buf.write("\5)\25\2\u1944\u1945\5\67\34\2\u1945\u1946\5)\25\2\u1946") buf.write("\u1947\5K&\2\u1947\u1948\5!\21\2\u1948\u1949\5G$\2\u1949") buf.write("\u194a\5=\37\2\u194a\u194b\5C\"\2\u194b\u194c\5U+\2\u194c") buf.write("\u194d\5+\26\2\u194d\u194e\5\67\34\2\u194e\u194f\5=\37") buf.write("\2\u194f\u1950\5=\37\2\u1950\u1951\5C\"\2\u1951\u1952") buf.write("\5U+\2\u1952\u1953\5M\'\2\u1953\u1954\5C\"\2\u1954\u1955") buf.write("\5\61\31\2\u1955\u1956\5G$\2\u1956\u1957\5)\25\2\u1957") buf.write("\u5853\3\2\2\2\u1958\u1959\5U+\2\u1959\u195a\5E#\2\u195a") buf.write("\u195b\5/\30\2\u195b\u195c\5\61\31\2\u195c\u195d\5;\36") buf.write("\2\u195d\u195e\5=\37\2\u195e\u195f\5I%\2\u195f\u1960\5") buf.write("U+\2\u1960\u1961\5S*\2\u1961\u1962\5I%\2\u1962\u1963\5") buf.write("\65\33\2\u1963\u1964\5!\21\2\u1964\u1965\5;\36\2\u1965") buf.write("\u1966\5U+\2\u1966\u1967\5E#\2\u1967\u1968\5)\25\2\u1968") buf.write("\u1969\5)\25\2\u1969\u196a\5U+\2\u196a\u196b\5;\36\2\u196b") buf.write("\u196c\5I%\2\u196c\u196d\59\35\2\u196d\u5853\3\2\2\2\u196e") buf.write("\u196f\5U+\2\u196f\u1970\5E#\2\u1970\u1971\5/\30\2\u1971") buf.write("\u1972\5\61\31\2\u1972\u1973\5;\36\2\u1973\u1974\5=\37") buf.write("\2\u1974\u1975\5I%\2\u1975\u1976\5U+\2\u1976\u1977\5S") buf.write("*\2\u1977\u1978\5I%\2\u1978\u1979\5\65\33\2\u1979\u197a") buf.write("\5!\21\2\u197a\u197b\5;\36\2\u197b\u197c\5U+\2\u197c\u197d") buf.write("\5-\27\2\u197d\u197e\5)\25\2\u197e\u197f\5G$\2\u197f\u1980") buf.write("\5U+\2\u1980\u1981\5;\36\2\u1981\u1982\5I%\2\u1982\u1983") buf.write("\59\35\2\u1983\u5853\3\2\2\2\u1984\u1985\5U+\2\u1985\u1986") buf.write("\5S*\2\u1986\u1987\5)\25\2\u1987\u1988\5;\36\2\u1988\u1989") buf.write("\5\65\33\2\u1989\u198a\5=\37\2\u198a\u198b\5\65\33\2\u198b") buf.write("\u198c\5I%\2\u198c\u198d\5U+\2\u198d\u198e\5S*\2\u198e") buf.write("\u198f\5I%\2\u198f\u1990\5\65\33\2\u1990\u1991\5!\21\2") buf.write("\u1991\u1992\5;\36\2\u1992\u1993\5U+\2\u1993\u1994\5E") buf.write("#\2\u1994\u1995\5)\25\2\u1995\u1996\5)\25\2\u1996\u1997") buf.write("\5U+\2\u1997\u1998\5;\36\2\u1998\u1999\5I%\2\u1999\u199a") buf.write("\59\35\2\u199a\u5853\3\2\2\2\u199b\u199c\5U+\2\u199c\u199d") buf.write("\5S*\2\u199d\u199e\5)\25\2\u199e\u199f\5;\36\2\u199f\u19a0") buf.write("\5\65\33\2\u19a0\u19a1\5=\37\2\u19a1\u19a2\5\65\33\2\u19a2") buf.write("\u19a3\5I%\2\u19a3\u19a4\5U+\2\u19a4\u19a5\5S*\2\u19a5") buf.write("\u19a6\5I%\2\u19a6\u19a7\5\65\33\2\u19a7\u19a8\5!\21\2") buf.write("\u19a8\u19a9\5;\36\2\u19a9\u19aa\5U+\2\u19aa\u19ab\5-") buf.write("\27\2\u19ab\u19ac\5)\25\2\u19ac\u19ad\5G$\2\u19ad\u19ae") buf.write("\5U+\2\u19ae\u19af\5;\36\2\u19af\u19b0\5I%\2\u19b0\u19b1") buf.write("\59\35\2\u19b1\u5853\3\2\2\2\u19b2\u19b3\5U+\2\u19b3\u19b4") buf.write("\5%\23\2\u19b4\u19b5\5/\30\2\u19b5\u19b6\5\65\33\2\u19b6") buf.write("\u19b7\5U+\2\u19b7\u19b8\5S*\2\u19b8\u19b9\5)\25\2\u19b9") buf.write("\u19ba\5;\36\2\u19ba\u19bb\5\65\33\2\u19bb\u19bc\5=\37") buf.write("\2\u19bc\u19bd\5\65\33\2\u19bd\u19be\5I%\2\u19be\u19bf") buf.write("\5U+\2\u19bf\u19c0\5S*\2\u19c0\u19c1\5I%\2\u19c1\u19c2") buf.write("\5\65\33\2\u19c2\u19c3\5!\21\2\u19c3\u19c4\5;\36\2\u19c4") buf.write("\u5853\3\2\2\2\u19c5\u19c6\5U+\2\u19c6\u19c7\5-\27\2\u19c7") buf.write("\u19c8\5)\25\2\u19c8\u19c9\5G$\2\u19c9\u19ca\5U+\2\u19ca") buf.write("\u19cb\5/\30\2\u19cb\u19cc\5Q)\2\u19cc\u19cd\5=\37\2\u19cd") buf.write("\u19ce\5I%\2\u19ce\u19cf\5\65\33\2\u19cf\u19d0\5!\21\2") buf.write("\u19d0\u19d1\5U+\2\u19d1\u19d2\59\35\2\u19d2\u19d3\5E") buf.write("#\2\u19d3\u19d4\5-\27\2\u19d4\u19d5\5\61\31\2\u19d5\u19d6") buf.write("\5\'\24\2\u19d6\u5853\3\2\2\2\u19d7\u19d8\5U+\2\u19d8") buf.write("\u19d9\5M\'\2\u19d9\u19da\5\61\31\2\u19da\u19db\5\67\34") buf.write("\2\u19db\u19dc\5\'\24\2\u19dc\u19dd\5U+\2\u19dd\u19de") buf.write("\5#\22\2\u19de\u19df\5G$\2\u19df\u19e0\5\67\34\2\u19e0") buf.write("\u19e1\5U+\2\u19e1\u19e2\5E#\2\u19e2\u19e3\5)\25\2\u19e3") buf.write("\u19e4\5G$\2\u19e4\u5853\3\2\2\2\u19e5\u19e6\5U+\2\u19e6") buf.write("\u19e7\5E#\2\u19e7\u19e8\5? \2\u19e8\u19e9\5U+\2\u19e9") buf.write("\u19ea\5M\'\2\u19ea\u19eb\5\61\31\2\u19eb\u19ec\5\67\34") buf.write("\2\u19ec\u19ed\5\'\24\2\u19ed\u19ee\5U+\2\u19ee\u19ef") buf.write("\5#\22\2\u19ef\u19f0\5G$\2\u19f0\u19f1\5\67\34\2\u19f1") buf.write("\u19f2\5U+\2\u19f2\u19f3\5E#\2\u19f3\u19f4\5)\25\2\u19f4") buf.write("\u19f5\5G$\2\u19f5\u5853\3\2\2\2\u19f6\u19f7\5U+\2\u19f7") buf.write("\u19f8\5+\26\2\u19f8\u19f9\5\61\31\2\u19f9\u19fa\5C\"") buf.write("\2\u19fa\u19fb\5E#\2\u19fb\u19fc\5G$\2\u19fc\u19fd\5U") buf.write("+\2\u19fd\u19fe\5#\22\2\u19fe\u19ff\5G$\2\u19ff\u1a00") buf.write("\5\67\34\2\u1a00\u1a01\5U+\2\u1a01\u1a02\5E#\2\u1a02\u1a03") buf.write("\5)\25\2\u1a03\u1a04\5G$\2\u1a04\u5853\3\2\2\2\u1a05\u1a06") buf.write("\5U+\2\u1a06\u1a07\5%\23\2\u1a07\u1a08\5!\21\2\u1a08\u1a09") buf.write("\5? \2\u1a09\u1a0a\5G$\2\u1a0a\u1a0b\5I%\2\u1a0b\u1a0c") buf.write("\5C\"\2\u1a0c\u1a0d\5)\25\2\u1a0d\u1a0e\5U+\2\u1a0e\u1a0f") buf.write("\5#\22\2\u1a0f\u1a10\5G$\2\u1a10\u1a11\5\67\34\2\u1a11") buf.write("\u1a12\5U+\2\u1a12\u1a13\5E#\2\u1a13\u1a14\5)\25\2\u1a14") buf.write("\u1a15\5G$\2\u1a15\u5853\3\2\2\2\u1a16\u1a17\5U+\2\u1a17") buf.write("\u1a18\5/\30\2\u1a18\u1a19\5=\37\2\u1a19\u1a1a\5;\36\2") buf.write("\u1a1a\u1a1b\5)\25\2\u1a1b\u1a1c\5Q)\2\u1a1c\u1a1d\5U") buf.write("+\2\u1a1d\u1a1e\5G$\2\u1a1e\u1a1f\5C\"\2\u1a1f\u1a20\5") buf.write(")\25\2\u1a20\u1a21\5)\25\2\u1a21\u5853\3\2\2\2\u1a22\u1a23") buf.write("\5U+\2\u1a23\u1a24\5-\27\2\u1a24\u1a25\5)\25\2\u1a25\u1a26") buf.write("\5G$\2\u1a26\u1a27\5U+\2\u1a27\u1a28\5/\30\2\u1a28\u1a29") buf.write("\5=\37\2\u1a29\u1a2a\5;\36\2\u1a2a\u1a2b\5)\25\2\u1a2b") buf.write("\u1a2c\5Q)\2\u1a2c\u1a2d\5U+\2\u1a2d\u1a2e\5G$\2\u1a2e") buf.write("\u1a2f\5C\"\2\u1a2f\u1a30\5)\25\2\u1a30\u1a31\5)\25\2") buf.write("\u1a31\u1a32\5U+\2\u1a32\u1a33\5E#\2\u1a33\u1a34\5G$\2") buf.write("\u1a34\u1a35\5!\21\2\u1a35\u1a36\5G$\2\u1a36\u1a37\5)") buf.write("\25\2\u1a37\u5853\3\2\2\2\u1a38\u1a39\5U+\2\u1a39\u1a3a") buf.write("\5/\30\2\u1a3a\u1a3b\5=\37\2\u1a3b\u1a3c\5;\36\2\u1a3c") buf.write("\u1a3d\5)\25\2\u1a3d\u1a3e\5Q)\2\u1a3e\u1a3f\5U+\2\u1a3f") buf.write("\u1a40\5G$\2\u1a40\u1a41\5C\"\2\u1a41\u1a42\5)\25\2\u1a42") buf.write("\u1a43\5)\25\2\u1a43\u1a44\5U+\2\u1a44\u1a45\5#\22\2\u1a45") buf.write("\u1a46\5G$\2\u1a46\u1a47\5\67\34\2\u1a47\u1a48\5U+\2\u1a48") buf.write("\u1a49\5E#\2\u1a49\u1a4a\5)\25\2\u1a4a\u1a4b\5G$\2\u1a4b") buf.write("\u5853\3\2\2\2\u1a4c\u1a4d\5U+\2\u1a4d\u1a4e\5/\30\2\u1a4e") buf.write("\u1a4f\5=\37\2\u1a4f\u1a50\5;\36\2\u1a50\u1a51\5)\25\2") buf.write("\u1a51\u1a52\5Q)\2\u1a52\u1a53\5U+\2\u1a53\u1a54\5G$\2") buf.write("\u1a54\u1a55\5C\"\2\u1a55\u1a56\5)\25\2\u1a56\u1a57\5") buf.write(")\25\2\u1a57\u1a58\5U+\2\u1a58\u1a59\5!\21\2\u1a59\u1a5a") buf.write("\5+\26\2\u1a5a\u1a5b\5G$\2\u1a5b\u1a5c\5)\25\2\u1a5c\u1a5d") buf.write("\5C\"\2\u1a5d\u1a5e\5U+\2\u1a5e\u1a5f\5E#\2\u1a5f\u1a60") buf.write("\5)\25\2\u1a60\u1a61\5G$\2\u1a61\u5853\3\2\2\2\u1a62\u1a63") buf.write("\5U+\2\u1a63\u1a64\5G$\2\u1a64\u1a65\5E#\2\u1a65\u1a66") buf.write("\5\61\31\2\u1a66\u1a67\5-\27\2\u1a67\u1a68\5;\36\2\u1a68") buf.write("\u1a69\5U+\2\u1a69\u1a6a\5E#\2\u1a6a\u1a6b\5)\25\2\u1a6b") buf.write("\u1a6c\5G$\2\u1a6c\u1a6d\5U+\2\u1a6d\u1a6e\5? \2\u1a6e") buf.write("\u1a6f\5C\"\2\u1a6f\u1a70\5=\37\2\u1a70\u1a71\5%\23\2") buf.write("\u1a71\u5853\3\2\2\2\u1a72\u1a73\5U+\2\u1a73\u1a74\5C") buf.write("\"\2\u1a74\u1a75\5)\25\2\u1a75\u1a76\5? \2\u1a76\u1a77") buf.write("\5=\37\2\u1a77\u1a78\5C\"\2\u1a78\u1a79\5G$\2\u1a79\u1a7a") buf.write("\5U+\2\u1a7a\u1a7b\5E#\2\u1a7b\u1a7c\5!\21\2\u1a7c\u1a7d") buf.write("\5K&\2\u1a7d\u1a7e\5)\25\2\u1a7e\u1a7f\5U+\2\u1a7f\u1a80") buf.write("\5%\23\2\u1a80\u1a81\5/\30\2\u1a81\u1a82\5)\25\2\u1a82") buf.write("\u1a83\5%\23\2\u1a83\u1a84\5\65\33\2\u1a84\u5853\3\2\2") buf.write("\2\u1a85\u1a86\5U+\2\u1a86\u1a87\5C\"\2\u1a87\u1a88\5") buf.write(")\25\2\u1a88\u1a89\5? \2\u1a89\u1a8a\5=\37\2\u1a8a\u1a8b") buf.write("\5C\"\2\u1a8b\u1a8c\5G$\2\u1a8c\u1a8d\5U+\2\u1a8d\u1a8e") buf.write("\5E#\2\u1a8e\u1a8f\5!\21\2\u1a8f\u1a90\5K&\2\u1a90\u1a91") buf.write("\5)\25\2\u1a91\u5853\3\2\2\2\u1a92\u1a93\5U+\2\u1a93\u1a94") buf.write("\5C\"\2\u1a94\u1a95\5)\25\2\u1a95\u1a96\5? \2\u1a96\u1a97") buf.write("\5=\37\2\u1a97\u1a98\5C\"\2\u1a98\u1a99\5G$\2\u1a99\u1a9a") buf.write("\5U+\2\u1a9a\u1a9b\5M\'\2\u1a9b\u1a9c\5\61\31\2\u1a9c") buf.write("\u1a9d\5;\36\2\u1a9d\u1a9e\5U+\2\u1a9e\u1a9f\5=\37\2\u1a9f") buf.write("\u1aa0\5? \2\u1aa0\u1aa1\5)\25\2\u1aa1\u1aa2\5;\36\2\u1aa2") buf.write("\u5853\3\2\2\2\u1aa3\u1aa4\5U+\2\u1aa4\u1aa5\5C\"\2\u1aa5") buf.write("\u1aa6\5)\25\2\u1aa6\u1aa7\5? \2\u1aa7\u1aa8\5=\37\2\u1aa8") buf.write("\u1aa9\5C\"\2\u1aa9\u1aaa\5G$\2\u1aaa\u1aab\5U+\2\u1aab") buf.write("\u1aac\5M\'\2\u1aac\u1aad\5\61\31\2\u1aad\u1aae\5;\36") buf.write("\2\u1aae\u1aaf\5U+\2\u1aaf\u1ab0\5%\23\2\u1ab0\u1ab1\5") buf.write("\67\34\2\u1ab1\u1ab2\5=\37\2\u1ab2\u1ab3\5E#\2\u1ab3\u1ab4") buf.write("\5)\25\2\u1ab4\u5853\3\2\2\2\u1ab5\u1ab6\5U+\2\u1ab6\u1ab7") buf.write("\5%\23\2\u1ab7\u1ab8\5\67\34\2\u1ab8\u1ab9\5\61\31\2\u1ab9") buf.write("\u1aba\5? \2\u1aba\u1abb\5U+\2\u1abb\u1abc\5G$\2\u1abc") buf.write("\u1abd\5K&\2\u1abd\u1abe\5E#\2\u1abe\u1abf\5!\21\2\u1abf") buf.write("\u1ac0\5K&\2\u1ac0\u1ac1\5)\25\2\u1ac1\u1ac2\5\'\24\2") buf.write("\u1ac2\u1ac3\5!\21\2\u1ac3\u1ac4\5G$\2\u1ac4\u1ac5\5!") buf.write("\21\2\u1ac5\u1ac6\5U+\2\u1ac6\u1ac7\5%\23\2\u1ac7\u1ac8") buf.write("\5/\30\2\u1ac8\u1ac9\5)\25\2\u1ac9\u1aca\5%\23\2\u1aca") buf.write("\u1acb\5\65\33\2\u1acb\u5853\3\2\2\2\u1acc\u1acd\5U+\2") buf.write("\u1acd\u1ace\5%\23\2\u1ace\u1acf\5\67\34\2\u1acf\u1ad0") buf.write("\5\61\31\2\u1ad0\u1ad1\5? \2\u1ad1\u1ad2\5U+\2\u1ad2\u1ad3") buf.write("\5%\23\2\u1ad3\u1ad4\5=\37\2\u1ad4\u1ad5\5;\36\2\u1ad5") buf.write("\u1ad6\5E#\2\u1ad6\u1ad7\5!\21\2\u1ad7\u1ad8\5K&\2\u1ad8") buf.write("\u1ad9\5)\25\2\u1ad9\u1ada\5\'\24\2\u1ada\u1adb\5!\21") buf.write("\2\u1adb\u1adc\5G$\2\u1adc\u1add\5!\21\2\u1add\u1ade\5") buf.write("U+\2\u1ade\u1adf\5%\23\2\u1adf\u1ae0\5/\30\2\u1ae0\u1ae1") buf.write("\5)\25\2\u1ae1\u1ae2\5%\23\2\u1ae2\u1ae3\5\65\33\2\u1ae3") buf.write("\u5853\3\2\2\2\u1ae4\u1ae5\5U+\2\u1ae5\u1ae6\5%\23\2\u1ae6") buf.write("\u1ae7\5\67\34\2\u1ae7\u1ae8\5\61\31\2\u1ae8\u1ae9\5?") buf.write(" \2\u1ae9\u1aea\5U+\2\u1aea\u1aeb\5G$\2\u1aeb\u1aec\5") buf.write("K&\2\u1aec\u1aed\5U+\2\u1aed\u1aee\5G$\2\u1aee\u1aef\5") buf.write("\61\31\2\u1aef\u1af0\5G$\2\u1af0\u1af1\5\67\34\2\u1af1") buf.write("\u1af2\5)\25\2\u1af2\u1af3\5U+\2\u1af3\u1af4\5E#\2\u1af4") buf.write("\u1af5\5!\21\2\u1af5\u1af6\5K&\2\u1af6\u1af7\5)\25\2\u1af7") buf.write("\u5853\3\2\2\2\u1af8\u1af9\5U+\2\u1af9\u1afa\5-\27\2\u1afa") buf.write("\u1afb\5)\25\2\u1afb\u1afc\5G$\2\u1afc\u1afd\5U+\2\u1afd") buf.write("\u1afe\5? \2\u1afe\u1aff\5=\37\2\u1aff\u1b00\5\65\33\2") buf.write("\u1b00\u1b01\5)\25\2\u1b01\u1b02\5G$\2\u1b02\u1b03\5%") buf.write("\23\2\u1b03\u1b04\5/\30\2\u1b04\u5853\3\2\2\2\u1b05\u1b06") buf.write("\5U+\2\u1b06\u1b07\5-\27\2\u1b07\u1b08\5)\25\2\u1b08\u1b09") buf.write("\5G$\2\u1b09\u1b0a\5U+\2\u1b0a\u1b0b\5? \2\u1b0b\u1b0c") buf.write("\5=\37\2\u1b0c\u1b0d\5\65\33\2\u1b0d\u1b0e\5)\25\2\u1b0e") buf.write("\u1b0f\5G$\2\u1b0f\u1b10\5%\23\2\u1b10\u1b11\5/\30\2\u1b11") buf.write("\u1b12\5U+\2\u1b12\u1b13\5+\26\2\u1b13\u1b14\5\67\34\2") buf.write("\u1b14\u1b15\5!\21\2\u1b15\u1b16\5-\27\2\u1b16\u5853\3") buf.write("\2\2\2\u1b17\u1b18\5U+\2\u1b18\u1b19\5? \2\u1b19\u1b1a") buf.write("\5=\37\2\u1b1a\u1b1b\5\65\33\2\u1b1b\u1b1c\5)\25\2\u1b1c") buf.write("\u1b1d\5G$\2\u1b1d\u1b1e\5%\23\2\u1b1e\u1b1f\5/\30\2\u1b1f") buf.write("\u1b20\5U+\2\u1b20\u1b21\5!\21\2\u1b21\u1b22\5\'\24\2") buf.write("\u1b22\u1b23\5\'\24\2\u1b23\u5853\3\2\2\2\u1b24\u1b25") buf.write("\5U+\2\u1b25\u1b26\5? \2\u1b26\u1b27\5=\37\2\u1b27\u1b28") buf.write("\5\65\33\2\u1b28\u1b29\5)\25\2\u1b29\u1b2a\5G$\2\u1b2a") buf.write("\u1b2b\5%\23\2\u1b2b\u1b2c\5/\30\2\u1b2c\u1b2d\5U+\2\u1b2d") buf.write("\u1b2e\5%\23\2\u1b2e\u1b2f\5/\30\2\u1b2f\u1b30\5)\25\2") buf.write("\u1b30\u1b31\5%\23\2\u1b31\u1b32\5\65\33\2\u1b32\u5853") buf.write("\3\2\2\2\u1b33\u1b34\5U+\2\u1b34\u1b35\5%\23\2\u1b35\u1b36") buf.write("\5=\37\2\u1b36\u1b37\59\35\2\u1b37\u1b38\59\35\2\u1b38") buf.write("\u1b39\5U+\2\u1b39\u1b3a\5E#\2\u1b3a\u1b3b\5Q)\2\u1b3b") buf.write("\u1b3c\5;\36\2\u1b3c\u1b3d\5%\23\2\u1b3d\u1b3e\5/\30\2") buf.write("\u1b3e\u1b3f\5C\"\2\u1b3f\u1b40\5=\37\2\u1b40\u1b41\5") buf.write(";\36\2\u1b41\u1b42\5\61\31\2\u1b42\u1b43\5S*\2\u1b43\u1b44") buf.write("\5)\25\2\u1b44\u5853\3\2\2\2\u1b45\u1b46\5U+\2\u1b46\u1b47") buf.write("\5%\23\2\u1b47\u1b48\5=\37\2\u1b48\u1b49\59\35\2\u1b49") buf.write("\u1b4a\59\35\2\u1b4a\u1b4b\5U+\2\u1b4b\u1b4c\5C\"\2\u1b4c") buf.write("\u1b4d\5)\25\2\u1b4d\u1b4e\5E#\2\u1b4e\u1b4f\5)\25\2\u1b4f") buf.write("\u1b50\5G$\2\u1b50\u5853\3\2\2\2\u1b51\u1b52\5U+\2\u1b52") buf.write("\u1b53\5I%\2\u1b53\u1b54\5;\36\2\u1b54\u1b55\5\61\31\2") buf.write("\u1b55\u1b56\5=\37\2\u1b56\u1b57\5;\36\2\u1b57\u1b58\5") buf.write("U+\2\u1b58\u1b59\5? \2\u1b59\u1b5a\5!\21\2\u1b5a\u1b5b") buf.write("\5C\"\2\u1b5b\u1b5c\5)\25\2\u1b5c\u1b5d\5;\36\2\u1b5d") buf.write("\u1b5e\5G$\2\u1b5e\u1b5f\5U+\2\u1b5f\u1b60\5%\23\2\u1b60") buf.write("\u1b61\5!\21\2\u1b61\u1b62\5C\"\2\u1b62\u1b63\5\'\24\2") buf.write("\u1b63\u1b64\5U+\2\u1b64\u1b65\5G$\2\u1b65\u1b66\5!\21") buf.write("\2\u1b66\u1b67\5\67\34\2\u1b67\u1b68\5\65\33\2\u1b68\u1b69") buf.write("\5U+\2\u1b69\u1b6a\5;\36\2\u1b6a\u1b6b\5=\37\2\u1b6b\u5853") buf.write("\3\2\2\2\u1b6c\u1b6d\5U+\2\u1b6d\u1b6e\5I%\2\u1b6e\u1b6f") buf.write("\5;\36\2\u1b6f\u1b70\5\61\31\2\u1b70\u1b71\5=\37\2\u1b71") buf.write("\u1b72\5;\36\2\u1b72\u1b73\5U+\2\u1b73\u1b74\5-\27\2\u1b74") buf.write("\u1b75\5)\25\2\u1b75\u1b76\5G$\2\u1b76\u1b77\5U+\2\u1b77") buf.write("\u1b78\5\61\31\2\u1b78\u1b79\5;\36\2\u1b79\u1b7a\5+\26") buf.write("\2\u1b7a\u1b7b\5=\37\2\u1b7b\u1b7c\5U+\2\u1b7c\u1b7d\5") buf.write("G$\2\u1b7d\u1b7e\5!\21\2\u1b7e\u1b7f\5\67\34\2\u1b7f\u1b80") buf.write("\5\65\33\2\u1b80\u1b81\5U+\2\u1b81\u1b82\5;\36\2\u1b82") buf.write("\u1b83\5=\37\2\u1b83\u5853\3\2\2\2\u1b84\u1b85\5U+\2\u1b85") buf.write("\u1b86\5I%\2\u1b86\u1b87\5;\36\2\u1b87\u1b88\5\61\31\2") buf.write("\u1b88\u1b89\5=\37\2\u1b89\u1b8a\5;\36\2\u1b8a\u1b8b\5") buf.write("U+\2\u1b8b\u1b8c\5#\22\2\u1b8c\u1b8d\5)\25\2\u1b8d\u1b8e") buf.write("\5!\21\2\u1b8e\u1b8f\5%\23\2\u1b8f\u1b90\5=\37\2\u1b90") buf.write("\u1b91\5;\36\2\u1b91\u1b92\5U+\2\u1b92\u1b93\5%\23\2\u1b93") buf.write("\u1b94\5/\30\2\u1b94\u1b95\5!\21\2\u1b95\u1b96\5;\36\2") buf.write("\u1b96\u1b97\5-\27\2\u1b97\u1b98\5)\25\2\u1b98\u5853\3") buf.write("\2\2\2\u1b99\u1b9a\5U+\2\u1b9a\u1b9b\5I%\2\u1b9b\u1b9c") buf.write("\5;\36\2\u1b9c\u1b9d\5\61\31\2\u1b9d\u1b9e\5=\37\2\u1b9e") buf.write("\u1b9f\5;\36\2\u1b9f\u1ba0\5U+\2\u1ba0\u1ba1\5%\23\2\u1ba1") buf.write("\u1ba2\5=\37\2\u1ba2\u1ba3\5;\36\2\u1ba3\u1ba4\5;\36\2") buf.write("\u1ba4\u1ba5\5)\25\2\u1ba5\u1ba6\5%\23\2\u1ba6\u1ba7\5") buf.write("G$\2\u1ba7\u1ba8\5U+\2\u1ba8\u1ba9\5G$\2\u1ba9\u1baa\5") buf.write("!\21\2\u1baa\u1bab\5\67\34\2\u1bab\u1bac\5\65\33\2\u1bac") buf.write("\u1bad\5U+\2\u1bad\u1bae\5\'\24\2\u1bae\u1baf\5)\25\2") buf.write("\u1baf\u1bb0\5;\36\2\u1bb0\u1bb1\5\61\31\2\u1bb1\u1bb2") buf.write("\5)\25\2\u1bb2\u1bb3\5\'\24\2\u1bb3\u5853\3\2\2\2\u1bb4") buf.write("\u1bb5\5U+\2\u1bb5\u1bb6\5I%\2\u1bb6\u1bb7\5;\36\2\u1bb7") buf.write("\u1bb8\5\61\31\2\u1bb8\u1bb9\5=\37\2\u1bb9\u1bba\5;\36") buf.write("\2\u1bba\u1bbb\5U+\2\u1bbb\u1bbc\5%\23\2\u1bbc\u1bbd\5") buf.write("=\37\2\u1bbd\u1bbe\5;\36\2\u1bbe\u1bbf\5;\36\2\u1bbf\u1bc0") buf.write("\5)\25\2\u1bc0\u1bc1\5%\23\2\u1bc1\u1bc2\5G$\2\u1bc2\u1bc3") buf.write("\5U+\2\u1bc3\u1bc4\5G$\2\u1bc4\u1bc5\5!\21\2\u1bc5\u1bc6") buf.write("\5\67\34\2\u1bc6\u1bc7\5\65\33\2\u1bc7\u1bc8\5U+\2\u1bc8") buf.write("\u1bc9\5=\37\2\u1bc9\u1bca\5\65\33\2\u1bca\u5853\3\2\2") buf.write("\2\u1bcb\u1bcc\5U+\2\u1bcc\u1bcd\5I%\2\u1bcd\u1bce\5;") buf.write("\36\2\u1bce\u1bcf\5\61\31\2\u1bcf\u1bd0\5=\37\2\u1bd0") buf.write("\u1bd1\5;\36\2\u1bd1\u1bd2\5U+\2\u1bd2\u1bd3\5G$\2\u1bd3") buf.write("\u1bd4\5C\"\2\u1bd4\u1bd5\5!\21\2\u1bd5\u1bd6\5\61\31") buf.write("\2\u1bd6\u1bd7\5;\36\2\u1bd7\u1bd8\5)\25\2\u1bd8\u1bd9") buf.write("\5C\"\2\u1bd9\u1bda\5U+\2\u1bda\u1bdb\5;\36\2\u1bdb\u1bdc") buf.write("\5!\21\2\u1bdc\u1bdd\59\35\2\u1bdd\u1bde\5)\25\2\u1bde") buf.write("\u1bdf\5U+\2\u1bdf\u1be0\5C\"\2\u1be0\u1be1\5)\25\2\u1be1") buf.write("\u1be2\5-\27\2\u1be2\u1be3\5\61\31\2\u1be3\u1be4\5E#\2") buf.write("\u1be4\u1be5\5G$\2\u1be5\u5853\3\2\2\2\u1be6\u1be7\5U") buf.write("+\2\u1be7\u1be8\5I%\2\u1be8\u1be9\5;\36\2\u1be9\u1bea") buf.write("\5\61\31\2\u1bea\u1beb\5=\37\2\u1beb\u1bec\5;\36\2\u1bec") buf.write("\u1bed\5U+\2\u1bed\u1bee\5C\"\2\u1bee\u1bef\5)\25\2\u1bef") buf.write("\u1bf0\5G$\2\u1bf0\u1bf1\5I%\2\u1bf1\u1bf2\5C\"\2\u1bf2") buf.write("\u1bf3\5;\36\2\u1bf3\u1bf4\5U+\2\u1bf4\u1bf5\5E#\2\u1bf5") buf.write("\u1bf6\5)\25\2\u1bf6\u1bf7\5G$\2\u1bf7\u1bf8\5I%\2\u1bf8") buf.write("\u1bf9\5? \2\u1bf9\u5853\3\2\2\2\u1bfa\u1bfb\5U+\2\u1bfb") buf.write("\u1bfc\5I%\2\u1bfc\u1bfd\5;\36\2\u1bfd\u1bfe\5\61\31\2") buf.write("\u1bfe\u1bff\5=\37\2\u1bff\u1c00\5;\36\2\u1c00\u1c01\5") buf.write("U+\2\u1c01\u1c02\5%\23\2\u1c02\u1c03\5=\37\2\u1c03\u1c04") buf.write("\5;\36\2\u1c04\u1c05\5;\36\2\u1c05\u1c06\5)\25\2\u1c06") buf.write("\u1c07\5%\23\2\u1c07\u1c08\5G$\2\u1c08\u1c09\5U+\2\u1c09") buf.write("\u1c0a\5%\23\2\u1c0a\u1c0b\5I%\2\u1c0b\u1c0c\5G$\2\u1c0c") buf.write("\u1c0d\5U+\2\u1c0d\u1c0e\5C\"\2\u1c0e\u1c0f\5)\25\2\u1c0f") buf.write("\u1c10\5E#\2\u1c10\u1c11\5G$\2\u1c11\u1c12\5!\21\2\u1c12") buf.write("\u1c13\5C\"\2\u1c13\u1c14\5G$\2\u1c14\u5853\3\2\2\2\u1c15") buf.write("\u1c16\5U+\2\u1c16\u1c17\5I%\2\u1c17\u1c18\5;\36\2\u1c18") buf.write("\u1c19\5\61\31\2\u1c19\u1c1a\5=\37\2\u1c1a\u1c1b\5;\36") buf.write("\2\u1c1b\u1c1c\5U+\2\u1c1c\u1c1d\5-\27\2\u1c1d\u1c1e\5") buf.write(")\25\2\u1c1e\u1c1f\5G$\2\u1c1f\u1c20\5U+\2\u1c20\u1c21") buf.write("\5G$\2\u1c21\u1c22\5!\21\2\u1c22\u1c23\5\67\34\2\u1c23") buf.write("\u1c24\5\65\33\2\u1c24\u1c25\5U+\2\u1c25\u1c26\5;\36\2") buf.write("\u1c26\u1c27\5I%\2\u1c27\u1c28\59\35\2\u1c28\u1c29\5#") buf.write("\22\2\u1c29\u1c2a\5)\25\2\u1c2a\u1c2b\5C\"\2\u1c2b\u5853") buf.write("\3\2\2\2\u1c2c\u1c2d\5U+\2\u1c2d\u1c2e\5I%\2\u1c2e\u1c2f") buf.write("\5;\36\2\u1c2f\u1c30\5\61\31\2\u1c30\u1c31\5=\37\2\u1c31") buf.write("\u1c32\5;\36\2\u1c32\u1c33\5U+\2\u1c33\u1c34\5\61\31\2") buf.write("\u1c34\u1c35\5\'\24\2\u1c35\u1c36\5U+\2\u1c36\u1c37\5") buf.write("E#\2\u1c37\u1c38\5)\25\2\u1c38\u1c39\5G$\2\u1c39\u5853") buf.write("\3\2\2\2\u1c3a\u1c3b\5U+\2\u1c3b\u1c3c\5I%\2\u1c3c\u1c3d") buf.write("\5;\36\2\u1c3d\u1c3e\5\61\31\2\u1c3e\u1c3f\5=\37\2\u1c3f") buf.write("\u1c40\5;\36\2\u1c40\u1c41\5U+\2\u1c41\u1c42\5C\"\2\u1c42") buf.write("\u1c43\5)\25\2\u1c43\u1c44\5E#\2\u1c44\u1c45\5I%\2\u1c45") buf.write("\u1c46\5\67\34\2\u1c46\u1c47\5G$\2\u1c47\u1c48\5U+\2\u1c48") buf.write("\u1c49\5-\27\2\u1c49\u1c4a\5)\25\2\u1c4a\u1c4b\5G$\2\u1c4b") buf.write("\u5853\3\2\2\2\u1c4c\u1c4d\5U+\2\u1c4d\u1c4e\5I%\2\u1c4e") buf.write("\u1c4f\5;\36\2\u1c4f\u1c50\5\61\31\2\u1c50\u1c51\5=\37") buf.write("\2\u1c51\u1c52\5;\36\2\u1c52\u1c53\5U+\2\u1c53\u1c54\5") buf.write("=\37\2\u1c54\u1c55\5#\22\2\u1c55\u1c56\5\63\32\2\u1c56") buf.write("\u1c57\5U+\2\u1c57\u1c58\5!\21\2\u1c58\u1c59\5\67\34\2") buf.write("\u1c59\u1c5a\5\67\34\2\u1c5a\u1c5b\5U+\2\u1c5b\u1c5c\5") buf.write("K&\2\u1c5c\u1c5d\5!\21\2\u1c5d\u1c5e\5;\36\2\u1c5e\u1c5f") buf.write("\5\61\31\2\u1c5f\u1c60\5E#\2\u1c60\u1c61\5/\30\2\u1c61") buf.write("\u5853\3\2\2\2\u1c62\u1c63\5U+\2\u1c63\u1c64\5I%\2\u1c64") buf.write("\u1c65\5;\36\2\u1c65\u1c66\5\61\31\2\u1c66\u1c67\5=\37") buf.write("\2\u1c67\u1c68\5;\36\2\u1c68\u1c69\5U+\2\u1c69\u1c6a\5") buf.write("E#\2\u1c6a\u1c6b\5%\23\2\u1c6b\u1c6c\5C\"\2\u1c6c\u1c6d") buf.write("\5\61\31\2\u1c6d\u1c6e\5? \2\u1c6e\u1c6f\5G$\2\u1c6f\u1c70") buf.write("\5U+\2\u1c70\u1c71\5C\"\2\u1c71\u1c72\5)\25\2\u1c72\u1c73") buf.write("\5E#\2\u1c73\u1c74\5I%\2\u1c74\u1c75\5\67\34\2\u1c75\u1c76") buf.write("\5G$\2\u1c76\u1c77\5U+\2\u1c77\u1c78\5E#\2\u1c78\u1c79") buf.write("\5)\25\2\u1c79\u1c7a\5G$\2\u1c7a\u5853\3\2\2\2\u1c7b\u1c7c") buf.write("\5U+\2\u1c7c\u1c7d\5I%\2\u1c7d\u1c7e\5;\36\2\u1c7e\u1c7f") buf.write("\5\61\31\2\u1c7f\u1c80\5=\37\2\u1c80\u1c81\5;\36\2\u1c81") buf.write("\u1c82\5U+\2\u1c82\u1c83\5? \2\u1c83\u1c84\5!\21\2\u1c84") buf.write("\u1c85\5C\"\2\u1c85\u1c86\5)\25\2\u1c86\u1c87\5;\36\2") buf.write("\u1c87\u1c88\5G$\2\u1c88\u1c89\5U+\2\u1c89\u1c8a\5E#\2") buf.write("\u1c8a\u1c8b\5G$\2\u1c8b\u1c8c\5!\21\2\u1c8c\u1c8d\5C") buf.write("\"\2\u1c8d\u1c8e\5G$\2\u1c8e\u1c8f\5U+\2\u1c8f\u1c90\5") buf.write("%\23\2\u1c90\u1c91\5=\37\2\u1c91\u1c92\59\35\2\u1c92\u1c93") buf.write("\59\35\2\u1c93\u1c94\5!\21\2\u1c94\u1c95\5;\36\2\u1c95") buf.write("\u1c96\5\'\24\2\u1c96\u1c97\5U+\2\u1c97\u1c98\5E#\2\u1c98") buf.write("\u1c99\5)\25\2\u1c99\u1c9a\5G$\2\u1c9a\u5853\3\2\2\2\u1c9b") buf.write("\u1c9c\5U+\2\u1c9c\u1c9d\5I%\2\u1c9d\u1c9e\5;\36\2\u1c9e") buf.write("\u1c9f\5\61\31\2\u1c9f\u1ca0\5=\37\2\u1ca0\u1ca1\5;\36") buf.write("\2\u1ca1\u1ca2\5U+\2\u1ca2\u1ca3\5%\23\2\u1ca3\u1ca4\5") buf.write("/\30\2\u1ca4\u1ca5\5\61\31\2\u1ca5\u1ca6\5\67\34\2\u1ca6") buf.write("\u1ca7\5\'\24\2\u1ca7\u1ca8\5U+\2\u1ca8\u1ca9\5E#\2\u1ca9") buf.write("\u1caa\5)\25\2\u1caa\u1cab\5\67\34\2\u1cab\u1cac\5)\25") buf.write("\2\u1cac\u1cad\5%\23\2\u1cad\u1cae\5G$\2\u1cae\u1caf\5") buf.write("U+\2\u1caf\u1cb0\5%\23\2\u1cb0\u1cb1\5=\37\2\u1cb1\u1cb2") buf.write("\59\35\2\u1cb2\u1cb3\59\35\2\u1cb3\u1cb4\5!\21\2\u1cb4") buf.write("\u1cb5\5;\36\2\u1cb5\u1cb6\5\'\24\2\u1cb6\u1cb7\5U+\2") buf.write("\u1cb7\u1cb8\5E#\2\u1cb8\u1cb9\5)\25\2\u1cb9\u1cba\5G") buf.write("$\2\u1cba\u5853\3\2\2\2\u1cbb\u1cbc\5U+\2\u1cbc\u1cbd") buf.write("\5I%\2\u1cbd\u1cbe\5;\36\2\u1cbe\u1cbf\5\61\31\2\u1cbf") buf.write("\u1cc0\5=\37\2\u1cc0\u1cc1\5;\36\2\u1cc1\u1cc2\5U+\2\u1cc2") buf.write("\u1cc3\5%\23\2\u1cc3\u1cc4\5=\37\2\u1cc4\u1cc5\5;\36\2") buf.write("\u1cc5\u1cc6\5;\36\2\u1cc6\u1cc7\5)\25\2\u1cc7\u1cc8\5") buf.write("%\23\2\u1cc8\u1cc9\5G$\2\u1cc9\u1cca\5U+\2\u1cca\u1ccb") buf.write("\5E#\2\u1ccb\u1ccc\5G$\2\u1ccc\u1ccd\5!\21\2\u1ccd\u1cce") buf.write("\5C\"\2\u1cce\u1ccf\5G$\2\u1ccf\u5853\3\2\2\2\u1cd0\u1cd1") buf.write("\5U+\2\u1cd1\u1cd2\5I%\2\u1cd2\u1cd3\5;\36\2\u1cd3\u1cd4") buf.write("\5\61\31\2\u1cd4\u1cd5\5=\37\2\u1cd5\u1cd6\5;\36\2\u1cd6") buf.write("\u1cd7\5U+\2\u1cd7\u1cd8\59\35\2\u1cd8\u1cd9\5!\21\2\u1cd9") buf.write("\u1cda\5? \2\u1cda\u1cdb\5U+\2\u1cdb\u1cdc\5%\23\2\u1cdc") buf.write("\u1cdd\5/\30\2\u1cdd\u1cde\5!\21\2\u1cde\u1cdf\5;\36\2") buf.write("\u1cdf\u1ce0\5-\27\2\u1ce0\u1ce1\5)\25\2\u1ce1\u5853\3") buf.write("\2\2\2\u1ce2\u1ce3\5U+\2\u1ce3\u1ce4\5I%\2\u1ce4\u1ce5") buf.write("\5;\36\2\u1ce5\u1ce6\5\61\31\2\u1ce6\u1ce7\5=\37\2\u1ce7") buf.write("\u1ce8\5;\36\2\u1ce8\u1ce9\5U+\2\u1ce9\u1cea\5K&\2\u1cea") buf.write("\u1ceb\5\61\31\2\u1ceb\u1cec\5)\25\2\u1cec\u1ced\5M\'") buf.write("\2\u1ced\u1cee\5U+\2\u1cee\u1cef\5G$\2\u1cef\u1cf0\5C") buf.write("\"\2\u1cf0\u1cf1\5U+\2\u1cf1\u1cf2\5E#\2\u1cf2\u1cf3\5") buf.write(")\25\2\u1cf3\u1cf4\5\67\34\2\u1cf4\u1cf5\5U+\2\u1cf5\u1cf6") buf.write("\5E#\2\u1cf6\u1cf7\5)\25\2\u1cf7\u1cf8\5G$\2\u1cf8\u5853") buf.write("\3\2\2\2\u1cf9\u1cfa\5U+\2\u1cfa\u1cfb\5I%\2\u1cfb\u1cfc") buf.write("\5;\36\2\u1cfc\u1cfd\5\61\31\2\u1cfd\u1cfe\5=\37\2\u1cfe") buf.write("\u1cff\5;\36\2\u1cff\u1d00\5U+\2\u1d00\u1d01\5K&\2\u1d01") buf.write("\u1d02\5\61\31\2\u1d02\u1d03\5)\25\2\u1d03\u1d04\5M\'") buf.write("\2\u1d04\u1d05\5U+\2\u1d05\u1d06\5G$\2\u1d06\u1d07\5C") buf.write("\"\2\u1d07\u1d08\5U+\2\u1d08\u1d09\5G$\2\u1d09\u1d0a\5") buf.write("Q)\2\u1d0a\u1d0b\5? \2\u1d0b\u1d0c\5)\25\2\u1d0c\u1d0d") buf.write("\5U+\2\u1d0d\u1d0e\59\35\2\u1d0e\u1d0f\5E#\2\u1d0f\u1d10") buf.write("\5-\27\2\u1d10\u1d11\5U+\2\u1d11\u1d12\5-\27\2\u1d12\u1d13") buf.write("\5)\25\2\u1d13\u1d14\5G$\2\u1d14\u5853\3\2\2\2\u1d15\u1d16") buf.write("\5U+\2\u1d16\u1d17\5I%\2\u1d17\u1d18\5;\36\2\u1d18\u1d19") buf.write("\5\61\31\2\u1d19\u1d1a\5=\37\2\u1d1a\u1d1b\5;\36\2\u1d1b") buf.write("\u1d1c\5U+\2\u1d1c\u1d1d\5K&\2\u1d1d\u1d1e\5\61\31\2\u1d1e") buf.write("\u1d1f\5)\25\2\u1d1f\u1d20\5M\'\2\u1d20\u1d21\5U+\2\u1d21") buf.write("\u1d22\5G$\2\u1d22\u1d23\5C\"\2\u1d23\u1d24\5U+\2\u1d24") buf.write("\u1d25\5G$\2\u1d25\u1d26\5Q)\2\u1d26\u1d27\5? \2\u1d27") buf.write("\u1d28\5)\25\2\u1d28\u1d29\5U+\2\u1d29\u1d2a\5;\36\2\u1d2a") buf.write("\u1d2b\5=\37\2\u1d2b\u1d2c\5U+\2\u1d2c\u1d2d\5-\27\2\u1d2d") buf.write("\u1d2e\5)\25\2\u1d2e\u1d2f\5G$\2\u1d2f\u5853\3\2\2\2\u1d30") buf.write("\u1d31\5U+\2\u1d31\u1d32\5I%\2\u1d32\u1d33\5;\36\2\u1d33") buf.write("\u1d34\5\61\31\2\u1d34\u1d35\5=\37\2\u1d35\u1d36\5;\36") buf.write("\2\u1d36\u1d37\5U+\2\u1d37\u1d38\5K&\2\u1d38\u1d39\5\61") buf.write("\31\2\u1d39\u1d3a\5)\25\2\u1d3a\u1d3b\5M\'\2\u1d3b\u1d3c") buf.write("\5U+\2\u1d3c\u1d3d\59\35\2\u1d3d\u1d3e\5Q)\2\u1d3e\u1d3f") buf.write("\5U+\2\u1d3f\u1d40\5E#\2\u1d40\u1d41\5G$\2\u1d41\u1d42") buf.write("\5!\21\2\u1d42\u1d43\5G$\2\u1d43\u1d44\5I%\2\u1d44\u1d45") 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buf.write("\37\2\u208e\u208f\59\35\2\u208f\u2090\59\35\2\u2090\u2091") buf.write("\5U+\2\u2091\u2092\5? \2\u2092\u2093\5\67\34\2\u2093\u2094") buf.write("\5!\21\2\u2094\u2095\5Q)\2\u2095\u2096\5)\25\2\u2096\u2097") buf.write("\5C\"\2\u2097\u2098\5U+\2\u2098\u2099\5E#\2\u2099\u209a") buf.write("\5)\25\2\u209a\u209b\5G$\2\u209b\u209c\5U+\2\u209c\u209d") buf.write("\5\'\24\2\u209d\u209e\5\61\31\2\u209e\u209f\5C\"\2\u209f") buf.write("\u5853\3\2\2\2\u20a0\u20a1\5U+\2\u20a1\u20a2\5E#\2\u20a2") buf.write("\u20a3\5)\25\2\u20a3\u20a4\5G$\2\u20a4\u20a5\5U+\2\u20a5") buf.write("\u20a6\5I%\2\u20a6\u20a7\5? \2\u20a7\u20a8\5U+\2\u20a8") buf.write("\u20a9\5\'\24\2\u20a9\u20aa\5=\37\2\u20aa\u20ab\5=\37") buf.write("\2\u20ab\u20ac\5C\"\2\u20ac\u20ad\5U+\2\u20ad\u20ae\5") buf.write("!\21\2\u20ae\u20af\5;\36\2\u20af\u20b0\5\61\31\2\u20b0") buf.write("\u20b1\59\35\2\u20b1\u20b2\5)\25\2\u20b2\u5853\3\2\2\2") buf.write("\u20b3\u20b4\5U+\2\u20b4\u20b5\5M\'\2\u20b5\u20b6\5!\21") buf.write("\2\u20b6\u20b7\5\61\31\2\u20b7\u20b8\5G$\2\u20b8\u20b9") buf.write("\5U+\2\u20b9\u20ba\5]/\2\u20ba\u20bb\5\'\24\2\u20bb\u20bc") buf.write("\5U+\2\u20bc\u20bd\5!\21\2\u20bd\u20be\5;\36\2\u20be\u20bf") buf.write("\5\61\31\2\u20bf\u20c0\59\35\2\u20c0\u20c1\5)\25\2\u20c1") buf.write("\u5853\3\2\2\2\u20c2\u20c3\5U+\2\u20c3\u20c4\5+\26\2\u20c4") buf.write("\u20c5\5C\"\2\u20c5\u20c6\5)\25\2\u20c6\u20c7\5)\25\2") buf.write("\u20c7\u20c8\5U+\2\u20c8\u20c9\5]/\2\u20c9\u20ca\5\'\24") buf.write("\2\u20ca\u20cb\5U+\2\u20cb\u20cc\5!\21\2\u20cc\u20cd\5") buf.write(";\36\2\u20cd\u20ce\5\61\31\2\u20ce\u20cf\59\35\2\u20cf") buf.write("\u20d0\5)\25\2\u20d0\u5853\3\2\2\2\u20d1\u20d2\5U+\2\u20d2") buf.write("\u20d3\5E#\2\u20d3\u20d4\5)\25\2\u20d4\u20d5\5A!\2\u20d5") buf.write("\u20d6\5U+\2\u20d6\u20d7\5=\37\2\u20d7\u20d8\5? \2\u20d8") buf.write("\u20d9\5)\25\2\u20d9\u20da\5;\36\2\u20da\u20db\5U+\2\u20db") buf.write("\u20dc\5\'\24\2\u20dc\u20dd\5=\37\2\u20dd\u20de\5=\37") buf.write("\2\u20de\u20df\5C\"\2\u20df\u5853\3\2\2\2\u20e0\u20e1") buf.write("\5U+\2\u20e1\u20e2\5E#\2\u20e2\u20e3\5)\25\2\u20e3\u20e4") buf.write("\5A!\2\u20e4\u20e5\5U+\2\u20e5\u20e6\5%\23\2\u20e6\u20e7") buf.write("\5\67\34\2\u20e7\u20e8\5=\37\2\u20e8\u20e9\5E#\2\u20e9") buf.write("\u20ea\5)\25\2\u20ea\u20eb\5U+\2\u20eb\u20ec\5\'\24\2") buf.write("\u20ec\u20ed\5=\37\2\u20ed\u20ee\5=\37\2\u20ee\u20ef\5") buf.write("C\"\2\u20ef\u5853\3\2\2\2\u20f0\u20f1\5U+\2\u20f1\u20f2") buf.write("\5? \2\u20f2\u20f3\59\35\2\u20f3\u20f4\5E#\2\u20f4\u20f5") buf.write("\5U+\2\u20f5\u20f6\5\61\31\2\u20f6\u20f7\5;\36\2\u20f7") buf.write("\u20f8\5? \2\u20f8\u20f9\5I%\2\u20f9\u20fa\5G$\2\u20fa") buf.write("\u20fb\5U+\2\u20fb\u20fc\5E#\2\u20fc\u20fd\5\61\31\2\u20fd") buf.write("\u20fe\5;\36\2\u20fe\u20ff\5-\27\2\u20ff\u2100\5\67\34") buf.write("\2\u2100\u2101\5)\25\2\u2101\u5853\3\2\2\2\u2102\u2103") buf.write("\5U+\2\u2103\u2104\5? \2\u2104\u2105\59\35\2\u2105\u2106") buf.write("\5E#\2\u2106\u2107\5U+\2\u2107\u2108\5\61\31\2\u2108\u2109") buf.write("\5;\36\2\u2109\u210a\5? \2\u210a\u210b\5I%\2\u210b\u210c") buf.write("\5G$\2\u210c\u210d\5U+\2\u210d\u210e\5\'\24\2\u210e\u210f") buf.write("\5=\37\2\u210f\u2110\5I%\2\u2110\u2111\5#\22\2\u2111\u2112") buf.write("\5\67\34\2\u2112\u2113\5)\25\2\u2113\u5853\3\2\2\2\u2114") buf.write("\u2115\5U+\2\u2115\u2116\5? \2\u2116\u2117\59\35\2\u2117") buf.write("\u2118\5E#\2\u2118\u2119\5U+\2\u2119\u211a\5#\22\2\u211a") buf.write("\u211b\5I%\2\u211b\u211c\5+\26\2\u211c\u5853\3\2\2\2\u211d") buf.write("\u211e\5U+\2\u211e\u211f\5-\27\2\u211f\u2120\5)\25\2\u2120") buf.write("\u2121\5G$\2\u2121\u2122\5U+\2\u2122\u2123\5E#\2\u2123") buf.write("\u2124\5)\25\2\u2124\u2125\5)\25\2\u2125\u2126\5\'\24") buf.write("\2\u2126\u2127\5U+\2\u2127\u2128\5E#\2\u2128\u2129\5G") buf.write("$\2\u2129\u212a\5!\21\2\u212a\u212b\5G$\2\u212b\u212c") buf.write("\5I%\2\u212c\u212d\5E#\2\u212d\u5853\3\2\2\2\u212e\u212f") buf.write("\5U+\2\u212f\u2130\5-\27\2\u2130\u2131\5)\25\2\u2131\u2132") buf.write("\5G$\2\u2132\u2133\5U+\2\u2133\u2134\5E#\2\u2134\u2135") buf.write("\5)\25\2\u2135\u2136\5)\25\2\u2136\u2137\5\'\24\2\u2137") buf.write("\u2138\5U+\2\u2138\u2139\5G$\2\u2139\u213a\5Q)\2\u213a") buf.write("\u213b\5? \2\u213b\u213c\5)\25\2\u213c\u5853\3\2\2\2\u213d") buf.write("\u213e\5U+\2\u213e\u213f\5-\27\2\u213f\u2140\5)\25\2\u2140") buf.write("\u2141\5G$\2\u2141\u2142\5U+\2\u2142\u2143\5E#\2\u2143") buf.write("\u2144\5)\25\2\u2144\u2145\5)\25\2\u2145\u2146\5\'\24") buf.write("\2\u2146\u2147\5U+\2\u2147\u2148\5%\23\2\u2148\u2149\5") buf.write("=\37\2\u2149\u214a\59\35\2\u214a\u214b\5? \2\u214b\u214c") buf.write("\5=\37\2\u214c\u214d\5E#\2\u214d\u214e\5G$\2\u214e\u5853") buf.write("\3\2\2\2\u214f\u2150\5U+\2\u2150\u2151\5-\27\2\u2151\u2152") buf.write("\5)\25\2\u2152\u2153\5G$\2\u2153\u2154\5U+\2\u2154\u2155") buf.write("\5E#\2\u2155\u2156\5)\25\2\u2156\u2157\5)\25\2\u2157\u2158") buf.write("\5\'\24\2\u2158\u2159\5U+\2\u2159\u215a\5-\27\2\u215a") buf.write("\u215b\5C\"\2\u215b\u215c\5=\37\2\u215c\u215d\5I%\2\u215d") buf.write("\u215e\5;\36\2\u215e\u215f\5\'\24\2\u215f\u5853\3\2\2") buf.write("\2\u2160\u2161\5U+\2\u2161\u2162\5-\27\2\u2162\u2163\5") buf.write(")\25\2\u2163\u2164\5G$\2\u2164\u2165\5U+\2\u2165\u2166") buf.write("\5E#\2\u2166\u2167\5)\25\2\u2167\u2168\5)\25\2\u2168\u2169") buf.write("\5\'\24\2\u2169\u216a\5U+\2\u216a\u216b\5%\23\2\u216b") buf.write("\u216c\5=\37\2\u216c\u216d\5I%\2\u216d\u216e\5;\36\2\u216e") buf.write("\u216f\5G$\2\u216f\u5853\3\2\2\2\u2170\u2171\5U+\2\u2171") buf.write("\u2172\5E#\2\u2172\u2173\5)\25\2\u2173\u2174\5G$\2\u2174") buf.write("\u2175\5U+\2\u2175\u2176\5E#\2\u2176\u2177\5)\25\2\u2177") buf.write("\u2178\5)\25\2\u2178\u2179\5\'\24\2\u2179\u217a\5U+\2") buf.write("\u217a\u217b\5%\23\2\u217b\u217c\5=\37\2\u217c\u217d\5") buf.write("9\35\2\u217d\u217e\5? \2\u217e\u217f\5=\37\2\u217f\u2180") buf.write("\5E#\2\u2180\u2181\5G$\2\u2181\u5853\3\2\2\2\u2182\u2183") buf.write("\5U+\2\u2183\u2184\5E#\2\u2184\u2185\5)\25\2\u2185\u2186") buf.write("\5G$\2\u2186\u2187\5U+\2\u2187\u2188\5E#\2\u2188\u2189") buf.write("\5)\25\2\u2189\u218a\5)\25\2\u218a\u218b\5\'\24\2\u218b") buf.write("\u218c\5U+\2\u218c\u218d\5;\36\2\u218d\u218e\5I%\2\u218e") buf.write("\u218f\5G$\2\u218f\u2190\5E#\2\u2190\u5853\3\2\2\2\u2191") buf.write("\u2192\5U+\2\u2192\u2193\5E#\2\u2193\u2194\5)\25\2\u2194") buf.write("\u2195\5G$\2\u2195\u2196\5U+\2\u2196\u2197\5E#\2\u2197") buf.write("\u2198\5)\25\2\u2198\u2199\5)\25\2\u2199\u219a\5\'\24") buf.write("\2\u219a\u219b\5U+\2\u219b\u219c\5M\'\2\u219c\u219d\5") buf.write("!\21\2\u219d\u219e\5G$\2\u219e\u219f\5)\25\2\u219f\u21a0") buf.write("\5C\"\2\u21a0\u5853\3\2\2\2\u21a1\u21a2\5U+\2\u21a2\u21a3") buf.write("\5G$\2\u21a3\u21a4\5!\21\2\u21a4\u21a5\5\65\33\2\u21a5") buf.write("\u21a6\5)\25\2\u21a6\u21a7\5U+\2\u21a7\u21a8\5E#\2\u21a8") buf.write("\u21a9\5)\25\2\u21a9\u21aa\5)\25\2\u21aa\u21ab\5\'\24") buf.write("\2\u21ab\u5853\3\2\2\2\u21ac\u21ad\5U+\2\u21ad\u21ae\5") buf.write("E#\2\u21ae\u21af\5O(\2\u21af\u21b0\5Q)\2\u21b0\u21b1\5") buf.write("U+\2\u21b1\u21b2\5? \2\u21b2\u21b3\5=\37\2\u21b3\u21b4") buf.write("\5E#\2\u21b4\u21b5\5U+\2\u21b5\u21b6\5%\23\2\u21b6\u21b7") buf.write("\5/\30\2\u21b7\u21b8\5!\21\2\u21b8\u21b9\5;\36\2\u21b9") buf.write("\u21ba\5-\27\2\u21ba\u21bb\5)\25\2\u21bb\u5853\3\2\2\2") buf.write("\u21bc\u21bd\5U+\2\u21bd\u21be\5=\37\2\u21be\u21bf\5#") buf.write("\22\2\u21bf\u21c0\5\63\32\2\u21c0\u21c1\5U+\2\u21c1\u21c2") buf.write("\5? \2\u21c2\u21c3\5=\37\2\u21c3\u21c4\5E#\2\u21c4\u21c5") buf.write("\5U+\2\u21c5\u21c6\5%\23\2\u21c6\u21c7\5/\30\2\u21c7\u21c8") buf.write("\5!\21\2\u21c8\u21c9\5;\36\2\u21c9\u21ca\5-\27\2\u21ca") buf.write("\u21cb\5)\25\2\u21cb\u5853\3\2\2\2\u21cc\u21cd\5U+\2\u21cd") buf.write("\u21ce\5E#\2\u21ce\u21cf\5O(\2\u21cf\u21d0\5Q)\2\u21d0") 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buf.write("\u5853\3\2\2\2\u238d\u238e\5U+\2\u238e\u238f\5I%\2\u238f") buf.write("\u2390\5-\27\2\u2390\u2391\5U+\2\u2391\u2392\5E#\2\u2392") buf.write("\u2393\5/\30\2\u2393\u2394\5=\37\2\u2394\u2395\5? \2\u2395") buf.write("\u2396\5U+\2\u2396\u2397\5\61\31\2\u2397\u2398\5G$\2\u2398") buf.write("\u2399\5)\25\2\u2399\u239a\59\35\2\u239a\u239b\5U+\2\u239b") buf.write("\u239c\5;\36\2\u239c\u239d\5!\21\2\u239d\u239e\59\35\2") buf.write("\u239e\u239f\5)\25\2\u239f\u5853\3\2\2\2\u23a0\u23a1\5") buf.write("U+\2\u23a1\u23a2\5I%\2\u23a2\u23a3\5-\27\2\u23a3\u23a4") buf.write("\5U+\2\u23a4\u23a5\5E#\2\u23a5\u23a6\5/\30\2\u23a6\u23a7") buf.write("\5=\37\2\u23a7\u23a8\5? \2\u23a8\u23a9\5U+\2\u23a9\u23aa") buf.write("\5G$\2\u23aa\u23ab\5C\"\2\u23ab\u23ac\5!\21\2\u23ac\u23ad") buf.write("\5? \2\u23ad\u23ae\5U+\2\u23ae\u23af\5;\36\2\u23af\u23b0") buf.write("\5!\21\2\u23b0\u23b1\59\35\2\u23b1\u23b2\5)\25\2\u23b2") buf.write("\u5853\3\2\2\2\u23b3\u23b4\5U+\2\u23b4\u23b5\5\'\24\2") buf.write("\u23b5\u23b6\5)\25\2\u23b6\u23b7\5\67\34\2\u23b7\u23b8") buf.write("\5U+\2\u23b8\u23b9\5E#\2\u23b9\u23ba\5=\37\2\u23ba\u23bb") buf.write("\5\'\24\2\u23bb\u23bc\5!\21\2\u23bc\u23bd\5G$\2\u23bd") buf.write("\u23be\5)\25\2\u23be\u23bf\5Q)\2\u23bf\u23c0\5!\21\2\u23c0") buf.write("\u23c1\5U+\2\u23c1\u23c2\5)\25\2\u23c2\u23c3\5-\27\2\u23c3") buf.write("\u23c4\5-\27\2\u23c4\u5853\3\2\2\2\u23c5\u23c6\5U+\2\u23c6") buf.write("\u23c7\5-\27\2\u23c7\u23c8\5)\25\2\u23c8\u23c9\5G$\2\u23c9") buf.write("\u23ca\5U+\2\u23ca\u23cb\5E#\2\u23cb\u23cc\5=\37\2\u23cc") buf.write("\u23cd\5\'\24\2\u23cd\u23ce\5!\21\2\u23ce\u23cf\5G$\2") buf.write("\u23cf\u23d0\5)\25\2\u23d0\u23d1\5Q)\2\u23d1\u23d2\5!") buf.write("\21\2\u23d2\u23d3\5U+\2\u23d3\u23d4\5)\25\2\u23d4\u23d5") buf.write("\5-\27\2\u23d5\u23d6\5-\27\2\u23d6\u5853\3\2\2\2\u23d7") buf.write("\u23d8\5U+\2\u23d8\u23d9\59\35\2\u23d9\u23da\5E#\2\u23da") buf.write("\u23db\5-\27\2\u23db\u23dc\5U+\2\u23dc\u23dd\5E#\2\u23dd") buf.write("\u23de\5=\37\2\u23de\u23df\5\'\24\2\u23df\u23e0\5!\21") buf.write("\2\u23e0\u23e1\5G$\2\u23e1\u23e2\5)\25\2\u23e2\u23e3\5") buf.write("Q)\2\u23e3\u23e4\5!\21\2\u23e4\u23e5\5U+\2\u23e5\u23e6") buf.write("\5!\21\2\u23e6\u23e7\5\61\31\2\u23e7\u23e8\5E#\2\u23e8") buf.write("\u23e9\5/\30\2\u23e9\u23ea\5=\37\2\u23ea\u23eb\5I%\2\u23eb") buf.write("\u5853\3\2\2\2\u23ec\u23ed\5U+\2\u23ed\u23ee\59\35\2\u23ee") buf.write("\u23ef\5E#\2\u23ef\u23f0\5-\27\2\u23f0\u23f1\5U+\2\u23f1") buf.write("\u23f2\5!\21\2\u23f2\u23f3\5S*\2\u23f3\u23f4\5I%\2\u23f4") buf.write("\u23f5\5\65\33\2\u23f5\u23f6\5)\25\2\u23f6\u23f7\5U+\2") buf.write("\u23f7\u23f8\5E#\2\u23f8\u23f9\5)\25\2\u23f9\u23fa\5G") buf.write("$\2\u23fa\u5853\3\2\2\2\u23fb\u23fc\5U+\2\u23fc\u23fd") buf.write("\5E#\2\u23fd\u23fe\5)\25\2\u23fe\u23ff\5G$\2\u23ff\u2400") buf.write("\5U+\2\u2400\u2401\5E#\2\u2401\u2402\5=\37\2\u2402\u2403") buf.write("\5\'\24\2\u2403\u2404\5!\21\2\u2404\u2405\5G$\2\u2405") buf.write("\u2406\5)\25\2\u2406\u2407\5Q)\2\u2407\u2408\5!\21\2\u2408") buf.write("\u2409\5U+\2\u2409\u240a\5? \2\u240a\u240b\5=\37\2\u240b") buf.write("\u240c\5\65\33\2\u240c\u240d\5)\25\2\u240d\u5853\3\2\2") buf.write("\2\u240e\u240f\5U+\2\u240f\u2410\5E#\2\u2410\u2411\5=") buf.write("\37\2\u2411\u2412\5\'\24\2\u2412\u2413\5!\21\2\u2413\u2414") buf.write("\5G$\2\u2414\u2415\5)\25\2\u2415\u2416\5Q)\2\u2416\u2417") buf.write("\5!\21\2\u2417\u2418\5U+\2\u2418\u2419\5? \2\u2419\u241a") buf.write("\5=\37\2\u241a\u241b\5\65\33\2\u241b\u241c\5)\25\2\u241c") buf.write("\u241d\5\67\34\2\u241d\u241e\5\61\31\2\u241e\u241f\5E") buf.write("#\2\u241f\u2420\5G$\2\u2420\u5853\3\2\2\2\u2421\u2422") buf.write("\5U+\2\u2422\u2423\5/\30\2\u2423\u2424\5\61\31\2\u2424") buf.write("\u2425\5\65\33\2\u2425\u2426\5\61\31\2\u2426\u2427\5G") buf.write("$\2\u2427\u2428\5=\37\2\u2428\u2429\5C\"\2\u2429\u242a") buf.write("\5\61\31\2\u242a\u242b\5U+\2\u242b\u242c\5\67\34\2\u242c") buf.write("\u242d\5\61\31\2\u242d\u242e\5E#\2\u242e\u242f\5G$\2\u242f") buf.write("\u5853\3\2\2\2\u2430\u2431\5U+\2\u2431\u2432\5E#\2\u2432") buf.write("\u2433\5=\37\2\u2433\u2434\5\'\24\2\u2434\u2435\5!\21") buf.write("\2\u2435\u2436\5G$\2\u2436\u2437\5)\25\2\u2437\u2438\5") buf.write("U+\2\u2438\u2439\5? \2\u2439\u243a\5=\37\2\u243a\u243b") buf.write("\5\65\33\2\u243b\u243c\5)\25\2\u243c\u243d\5U+\2\u243d") buf.write("\u243e\5\67\34\2\u243e\u243f\5)\25\2\u243f\u2440\5K&\2") buf.write("\u2440\u2441\5)\25\2\u2441\u2442\5\67\34\2\u2442\u2443") buf.write("\5U+\2\u2443\u2444\5E#\2\u2444\u2445\5G$\2\u2445\u2446") buf.write("\5C\"\2\u2446\u5853\3\2\2\2\u2447\u2448\5U+\2\u2448\u2449") buf.write("\5/\30\2\u2449\u244a\5\61\31\2\u244a\u244b\5\65\33\2\u244b") buf.write("\u244c\5\61\31\2\u244c\u244d\5G$\2\u244d\u244e\5=\37\2") buf.write("\u244e\u244f\5C\"\2\u244f\u2450\5\61\31\2\u2450\u2451") buf.write("\5U+\2\u2451\u2452\5C\"\2\u2452\u2453\5Q)\2\u2453\u2454") buf.write("\5=\37\2\u2454\u2455\5I%\2\u2455\u2456\5\65\33\2\u2456") buf.write("\u2457\5\61\31\2\u2457\u2458\5;\36\2\u2458\u5853\3\2\2") buf.write("\2\u2459\u245a\5U+\2\u245a\u245b\5/\30\2\u245b\u245c\5") buf.write("\61\31\2\u245c\u245d\5\65\33\2\u245d\u245e\5\61\31\2\u245e") buf.write("\u245f\5G$\2\u245f\u2460\5=\37\2\u2460\u2461\5C\"\2\u2461") buf.write("\u2462\5\61\31\2\u2462\u2463\5U+\2\u2463\u2464\5? \2\u2464") buf.write("\u2465\5=\37\2\u2465\u2466\5\65\33\2\u2466\u2467\5)\25") buf.write("\2\u2467\u5853\3\2\2\2\u2468\u2469\5U+\2\u2469\u246a\5") buf.write("G$\2\u246a\u246b\5!\21\2\u246b\u246c\59\35\2\u246c\u246d") buf.write("\5!\21\2\u246d\u246e\5-\27\2\u246e\u246f\5=\37\2\u246f") buf.write("\u2470\5U+\2\u2470\u2471\5\'\24\2\u2471\u2472\5)\25\2") buf.write("\u2472\u2473\59\35\2\u2473\u2474\5=\37\2\u2474\u5853\3") buf.write("\2\2\2\u2475\u2476\5U+\2\u2476\u2477\5G$\2\u2477\u2478") buf.write("\5)\25\2\u2478\u2479\59\35\2\u2479\u247a\5=\37\2\u247a") buf.write("\u247b\5G$\2\u247b\u247c\5\61\31\2\u247c\u247d\5U+\2\u247d") buf.write("\u247e\59\35\2\u247e\u247f\5=\37\2\u247f\u2480\5;\36\2") buf.write("\u2480\u2481\5E#\2\u2481\u2482\5;\36\2\u2482\u2483\5=") buf.write("\37\2\u2483\u5853\3\2\2\2\u2484\u2485\5U+\2\u2485\u2486") buf.write("\59\35\2\u2486\u2487\5=\37\2\u2487\u2488\5;\36\2\u2488") buf.write("\u2489\5E#\2\u2489\u248a\5U+\2\u248a\u248b\5=\37\2\u248b") buf.write("\u248c\5M\'\2\u248c\u248d\5;\36\2\u248d\u248e\5U+\2\u248e") buf.write("\u248f\5%\23\2\u248f\u2490\5/\30\2\u2490\u2491\5\65\33") buf.write("\2\u2491\u5853\3\2\2\2\u2492\u2493\5U+\2\u2493\u2494\5") buf.write("%\23\2\u2494\u2495\5/\30\2\u2495\u2496\5\65\33\2\u2496") buf.write("\u2497\5U+\2\u2497\u2498\5G$\2\u2498\u2499\5)\25\2\u2499") buf.write("\u249a\59\35\2\u249a\u249b\5=\37\2\u249b\u249c\5G$\2\u249c") buf.write("\u249d\5\61\31\2\u249d\u249e\5U+\2\u249e\u249f\5? \2\u249f") buf.write("\u24a0\5=\37\2\u24a0\u24a1\5\65\33\2\u24a1\u24a2\5)\25") buf.write("\2\u24a2\u24a3\5C\"\2\u24a3\u24a4\5I%\2\u24a4\u24a5\5") buf.write("E#\2\u24a5\u5853\3\2\2\2\u24a6\u24a7\5U+\2\u24a7\u24a8") buf.write("\5G$\2\u24a8\u24a9\5)\25\2\u24a9\u24aa\59\35\2\u24aa\u24ab") buf.write("\5=\37\2\u24ab\u24ac\5G$\2\u24ac\u24ad\5\61\31\2\u24ad") buf.write("\u24ae\5U+\2\u24ae\u24af\5? \2\u24af\u24b0\5=\37\2\u24b0") buf.write("\u24b1\5\65\33\2\u24b1\u24b2\5)\25\2\u24b2\u24b3\5U+\2") buf.write("\u24b3\u24b4\5E#\2\u24b4\u24b5\5)\25\2\u24b5\u24b6\5O") buf.write("(\2\u24b6\u24b7\5U+\2\u24b7\u24b8\5-\27\2\u24b8\u24b9") buf.write("\5)\25\2\u24b9\u24ba\5G$\2\u24ba\u5853\3\2\2\2\u24bb\u24bc") buf.write("\5U+\2\u24bc\u24bd\5E#\2\u24bd\u24be\5I%\2\u24be\u24bf") buf.write("\5#\22\2\u24bf\u24c0\5U+\2\u24c0\u24c1\59\35\2\u24c1\u24c2") buf.write("\5Q)\2\u24c2\u24c3\5U+\2\u24c3\u24c4\5-\27\2\u24c4\u24c5") buf.write("\5=\37\2\u24c5\u24c6\5\67\34\2\u24c6\u24c7\5\'\24\2\u24c7") buf.write("\u5853\3\2\2\2\u24c8\u24c9\5U+\2\u24c9\u24ca\5%\23\2\u24ca") buf.write("\u24cb\5=\37\2\u24cb\u24cc\59\35\2\u24cc\u24cd\5? \2\u24cd") buf.write("\u24ce\5U+\2\u24ce\u24cf\59\35\2\u24cf\u24d0\5Q)\2\u24d0") buf.write("\u24d1\5U+\2\u24d1\u24d2\5-\27\2\u24d2\u24d3\5=\37\2\u24d3") buf.write("\u24d4\5\67\34\2\u24d4\u24d5\5\'\24\2\u24d5\u5853\3\2") buf.write("\2\2\u24d6\u24d7\5U+\2\u24d7\u24d8\5=\37\2\u24d8\u24d9") buf.write("\5#\22\2\u24d9\u24da\5\63\32\2\u24da\u24db\5U+\2\u24db") buf.write("\u24dc\5K&\2\u24dc\u24dd\5\61\31\2\u24dd\u24de\5E#\2\u24de") buf.write("\u24df\5\61\31\2\u24df\u24e0\5#\22\2\u24e0\u24e1\5\67") buf.write("\34\2\u24e1\u24e2\5)\25\2\u24e2\u5853\3\2\2\2\u24e3\u24e4") buf.write("\5U+\2\u24e4\u24e5\5=\37\2\u24e5\u24e6\5#\22\2\u24e6\u24e7") buf.write("\5\63\32\2\u24e7\u24e8\5U+\2\u24e8\u24e9\5\61\31\2\u24e9") buf.write("\u24ea\5;\36\2\u24ea\u24eb\5K&\2\u24eb\u24ec\5\61\31\2") buf.write("\u24ec\u24ed\5E#\2\u24ed\u24ee\5\61\31\2\u24ee\u24ef\5") buf.write("#\22\2\u24ef\u24f0\5\67\34\2\u24f0\u24f1\5)\25\2\u24f1") buf.write("\u5853\3\2\2\2\u24f2\u24f3\5U+\2\u24f3\u24f4\59\35\2\u24f4") buf.write("\u24f5\5!\21\2\u24f5\u24f6\5\61\31\2\u24f6\u24f7\5\67") buf.write("\34\2\u24f7\u24f8\5#\22\2\u24f8\u24f9\5=\37\2\u24f9\u24fa") buf.write("\5O(\2\u24fa\u5853\3\2\2\2\u24fb\u24fc\5U+\2\u24fc\u24fd") buf.write("\5-\27\2\u24fd\u24fe\5)\25\2\u24fe\u24ff\5G$\2\u24ff\u2500") buf.write("\5U+\2\u2500\u2501\59\35\2\u2501\u2502\5!\21\2\u2502\u2503") buf.write("\5\61\31\2\u2503\u2504\5\67\34\2\u2504\u2505\5#\22\2\u2505") buf.write("\u2506\5=\37\2\u2506\u2507\5O(\2\u2507\u2508\5U+\2\u2508") buf.write("\u2509\5\'\24\2\u2509\u250a\5!\21\2\u250a\u250b\5G$\2") buf.write("\u250b\u250c\5!\21\2\u250c\u250d\5;\36\2\u250d\u250e\5") buf.write("I%\2\u250e\u250f\59\35\2\u250f\u5853\3\2\2\2\u2510\u2511") buf.write("\5U+\2\u2511\u2512\5C\"\2\u2512\u2513\5!\21\2\u2513\u2514") buf.write("\5;\36\2\u2514\u2515\5\65\33\2\u2515\u2516\5\61\31\2\u2516") buf.write("\u2517\5;\36\2\u2517\u2518\5-\27\2\u2518\u2519\5U+\2\u2519") buf.write("\u251a\5K&\2\u251a\u251b\5\61\31\2\u251b\u251c\5)\25\2") buf.write("\u251c\u251d\5M\'\2\u251d\u5853\3\2\2\2\u251e\u251f\5") buf.write("U+\2\u251f\u2520\5-\27\2\u2520\u2521\5)\25\2\u2521\u2522") buf.write("\5G$\2\u2522\u2523\5U+\2\u2523\u2524\5G$\2\u2524\u2525") buf.write("\5\61\31\2\u2525\u2526\59\35\2\u2526\u2527\5)\25\2\u2527") buf.write("\u2528\5U+\2\u2528\u2529\5S*\2\u2529\u252a\5=\37\2\u252a") buf.write("\u252b\5;\36\2\u252b\u252c\5)\25\2\u252c\u5853\3\2\2\2") buf.write("\u252d\u252e\5U+\2\u252e\u252f\5-\27\2\u252f\u2530\5)") buf.write("\25\2\u2530\u2531\5G$\2\u2531\u2532\5U+\2\u2532\u2533") buf.write("\5C\"\2\u2533\u2534\5;\36\2\u2534\u2535\5\'\24\2\u2535") buf.write("\u5853\3\2\2\2\u2536\u2537\5U+\2\u2537\u2538\5-\27\2\u2538") buf.write("\u2539\5)\25\2\u2539\u253a\5G$\2\u253a\u253b\5U+\2\u253b") buf.write("\u253c\5C\"\2\u253c\u253d\5;\36\2\u253d\u253e\5\'\24\2") buf.write("\u253e\u253f\5U+\2\u253f\u2540\5;\36\2\u2540\u2541\5)") buf.write("\25\2\u2541\u2542\5O(\2\u2542\u2543\5G$\2\u2543\u5853") buf.write("\3\2\2\2\u2544\u2545\5U+\2\u2545\u2546\5-\27\2\u2546\u2547") buf.write("\5)\25\2\u2547\u2548\5G$\2\u2548\u2549\5U+\2\u2549\u254a") buf.write("\5;\36\2\u254a\u254b\5!\21\2\u254b\u254c\5G$\2\u254c\u254d") buf.write("\5E#\2\u254d\u254e\5I%\2\u254e\u254f\5\65\33\2\u254f\u2550") buf.write("\5\61\31\2\u2550\u5853\3\2\2\2\u2551\u2552\5U+\2\u2552") buf.write("\u2553\5!\21\2\u2553\u2554\5\'\24\2\u2554\u2555\5\'\24") buf.write("\2\u2555\u2556\5U+\2\u2556\u2557\5;\36\2\u2557\u2558\5") buf.write("!\21\2\u2558\u2559\5G$\2\u2559\u255a\5E#\2\u255a\u255b") buf.write("\5I%\2\u255b\u255c\5\65\33\2\u255c\u255d\5\61\31\2\u255d") buf.write("\u5853\3\2\2\2\u255e\u255f\5U+\2\u255f\u2560\5E#\2\u2560") buf.write("\u2561\5I%\2\u2561\u2562\5#\22\2\u2562\u2563\5U+\2\u2563") buf.write("\u2564\5;\36\2\u2564\u2565\5!\21\2\u2565\u2566\5G$\2\u2566") buf.write("\u2567\5E#\2\u2567\u2568\5I%\2\u2568\u2569\5\65\33\2\u2569") buf.write("\u256a\5\61\31\2\u256a\u5853\3\2\2\2\u256b\u256c\5U+\2") buf.write("\u256c\u256d\5/\30\2\u256d\u256e\5\61\31\2\u256e\u256f") buf.write("\5\65\33\2\u256f\u2570\5\61\31\2\u2570\u2571\5G$\2\u2571") buf.write("\u2572\5=\37\2\u2572\u2573\5C\"\2\u2573\u2574\5\61\31") buf.write("\2\u2574\u2575\5U+\2\u2575\u2576\5\67\34\2\u2576\u2577") buf.write("\5\61\31\2\u2577\u2578\5E#\2\u2578\u2579\5G$\2\u2579\u257a") buf.write("\5U+\2\u257a\u257b\5;\36\2\u257b\u257c\5!\21\2\u257c\u257d") buf.write("\59\35\2\u257d\u257e\5)\25\2\u257e\u257f\5U+\2\u257f\u2580") buf.write("\5E#\2\u2580\u2581\5)\25\2\u2581\u2582\5G$\2\u2582\u5853") buf.write("\3\2\2\2\u2583\u2584\5U+\2\u2584\u2585\5-\27\2\u2585\u2586") buf.write("\5)\25\2\u2586\u2587\5G$\2\u2587\u2588\5U+\2\u2588\u2589") buf.write("\5E#\2\u2589\u258a\5=\37\2\u258a\u258b\5\'\24\2\u258b") buf.write("\u258c\5!\21\2\u258c\u258d\5G$\2\u258d\u258e\5)\25\2\u258e") buf.write("\u258f\5Q)\2\u258f\u2590\5!\21\2\u2590\u2591\5U+\2\u2591") buf.write("\u2592\5!\21\2\u2592\u2593\5\61\31\2\u2593\u2594\5E#\2") buf.write("\u2594\u2595\5/\30\2\u2595\u2596\5=\37\2\u2596\u2597\5") buf.write("I%\2\u2597\u5853\3\2\2\2\u2598\u2599\5U+\2\u2599\u259a") buf.write("\5E#\2\u259a\u259b\5=\37\2\u259b\u259c\5\'\24\2\u259c") buf.write("\u259d\5!\21\2\u259d\u259e\5G$\2\u259e\u259f\5)\25\2\u259f") buf.write("\u25a0\5Q)\2\u25a0\u25a1\5!\21\2\u25a1\u25a2\5U+\2\u25a2") buf.write("\u25a3\5G$\2\u25a3\u25a4\5!\21\2\u25a4\u25a5\59\35\2\u25a5") buf.write("\u25a6\5!\21\2\u25a6\u25a7\5-\27\2\u25a7\u25a8\5=\37\2") buf.write("\u25a8\u25a9\5U+\2\u25a9\u25aa\5%\23\2\u25aa\u25ab\5/") buf.write("\30\2\u25ab\u25ac\5\65\33\2\u25ac\u5853\3\2\2\2\u25ad") buf.write("\u25ae\5U+\2\u25ae\u25af\5G$\2\u25af\u25b0\5)\25\2\u25b0") buf.write("\u25b1\59\35\2\u25b1\u25b2\5=\37\2\u25b2\u25b3\5G$\2\u25b3") buf.write("\u25b4\5\61\31\2\u25b4\u25b5\5U+\2\u25b5\u25b6\5? \2\u25b6") buf.write("\u25b7\5=\37\2\u25b7\u25b8\5\65\33\2\u25b8\u25b9\5)\25") buf.write("\2\u25b9\u25ba\5U+\2\u25ba\u25bb\5%\23\2\u25bb\u25bc\5") buf.write("/\30\2\u25bc\u25bd\5\65\33\2\u25bd\u5853\3\2\2\2\u25be") buf.write("\u25bf\5U+\2\u25bf\u25c0\5=\37\2\u25c0\u25c1\5=\37\2\u25c1") buf.write("\u25c2\5\65\33\2\u25c2\u25c3\5\61\31\2\u25c3\u25c4\5E") buf.write("#\2\u25c4\u25c5\5!\21\2\u25c5\u25c6\5U+\2\u25c6\u25c7") buf.write("\5C\"\2\u25c7\u25c8\5)\25\2\u25c8\u25c9\5%\23\2\u25c9") buf.write("\u25ca\5=\37\2\u25ca\u25cb\5C\"\2\u25cb\u25cc\5\'\24\2") buf.write("\u25cc\u25cd\5U+\2\u25cd\u25ce\5%\23\2\u25ce\u25cf\5/") buf.write("\30\2\u25cf\u25d0\5\65\33\2\u25d0\u5853\3\2\2\2\u25d1") buf.write("\u25d2\5U+\2\u25d2\u25d3\5=\37\2\u25d3\u25d4\5=\37\2\u25d4") buf.write("\u25d5\5\65\33\2\u25d5\u25d6\5\61\31\2\u25d6\u25d7\5E") buf.write("#\2\u25d7\u25d8\5!\21\2\u25d8\u25d9\5U+\2\u25d9\u25da") buf.write("\5C\"\2\u25da\u25db\5)\25\2\u25db\u25dc\5%\23\2\u25dc") buf.write("\u25dd\5=\37\2\u25dd\u25de\5C\"\2\u25de\u25df\5\'\24\2") buf.write("\u25df\u25e0\5U+\2\u25e0\u25e1\5E#\2\u25e1\u25e2\5)\25") buf.write("\2\u25e2\u25e3\5G$\2\u25e3\u5853\3\2\2\2\u25e4\u25e5\5") buf.write("U+\2\u25e5\u25e6\5=\37\2\u25e6\u25e7\5=\37\2\u25e7\u25e8") buf.write("\5\65\33\2\u25e8\u25e9\5\61\31\2\u25e9\u25ea\5E#\2\u25ea") buf.write("\u25eb\5!\21\2\u25eb\u25ec\5U+\2\u25ec\u25ed\5G$\2\u25ed") buf.write("\u25ee\5)\25\2\u25ee\u25ef\59\35\2\u25ef\u25f0\5=\37\2") buf.write("\u25f0\u25f1\5G$\2\u25f1\u25f2\5\61\31\2\u25f2\u25f3\5") buf.write("U+\2\u25f3\u25f4\5E#\2\u25f4\u25f5\5)\25\2\u25f5\u25f6") buf.write("\5G$\2\u25f6\u25f7\5U+\2\u25f7\u25f8\5#\22\2\u25f8\u25f9") buf.write("\5I%\2\u25f9\u25fa\5+\26\2\u25fa\u5853\3\2\2\2\u25fb\u25fc") buf.write("\5U+\2\u25fc\u25fd\5=\37\2\u25fd\u25fe\5=\37\2\u25fe\u25ff") buf.write("\5\65\33\2\u25ff\u2600\5\61\31\2\u2600\u2601\5E#\2\u2601") buf.write("\u2602\5!\21\2\u2602\u2603\5U+\2\u2603\u2604\5\65\33\2") buf.write("\u2604\u2605\5\61\31\2\u2605\u2606\5C\"\2\u2606\u2607") buf.write("\5=\37\2\u2607\u2608\5\65\33\2\u2608\u2609\5I%\2\u2609") buf.write("\u260a\5U+\2\u260a\u260b\5E#\2\u260b\u260c\5)\25\2\u260c") buf.write("\u260d\5G$\2\u260d\u260e\5U+\2\u260e\u260f\5#\22\2\u260f") buf.write("\u2610\5I%\2\u2610\u2611\5+\26\2\u2611\u5853\3\2\2\2\u2612") buf.write("\u2613\5U+\2\u2613\u2614\5=\37\2\u2614\u2615\5=\37\2\u2615") buf.write("\u2616\5\65\33\2\u2616\u2617\5\61\31\2\u2617\u2618\5E") buf.write("#\2\u2618\u2619\5!\21\2\u2619\u261a\5U+\2\u261a\u261b") buf.write("\5\65\33\2\u261b\u261c\5I%\2\u261c\u261d\5C\"\2\u261d") buf.write("\u261e\5!\21\2\u261e\u261f\5#\22\2\u261f\u2620\5)\25\2") buf.write("\u2620\u2621\5U+\2\u2621\u2622\5\61\31\2\u2622\u2623\5") buf.write(";\36\2\u2623\u2624\5\61\31\2\u2624\u2625\5G$\2\u2625\u5853") buf.write("\3\2\2\2\u2626\u2627\5U+\2\u2627\u2628\5M\'\2\u2628\u2629") buf.write("\5!\21\2\u2629\u262a\5S*\2\u262a\u262b\5!\21\2\u262b\u262c") buf.write("\5\67\34\2\u262c\u262d\5\61\31\2\u262d\u262e\5E#\2\u262e") buf.write("\u262f\5G$\2\u262f\u2630\5U+\2\u2630\u2631\5E#\2\u2631") buf.write("\u2632\5)\25\2\u2632\u2633\5G$\2\u2633\u2634\5U+\2\u2634") buf.write("\u2635\5? \2\u2635\u2636\5C\"\2\u2636\u2637\5=\37\2\u2637") buf.write("\u2638\5%\23\2\u2638\u5853\3\2\2\2\u2639\u263a\5U+\2\u263a") buf.write("\u263b\5M\'\2\u263b\u263c\5!\21\2\u263c\u263d\5S*\2\u263d") buf.write("\u263e\5!\21\2\u263e\u263f\5\67\34\2\u263f\u2640\5\61") buf.write("\31\2\u2640\u2641\5E#\2\u2641\u2642\5G$\2\u2642\u2643") buf.write("\5U+\2\u2643\u2644\5-\27\2\u2644\u2645\5)\25\2\u2645\u2646") buf.write("\5G$\2\u2646\u2647\5U+\2\u2647\u2648\5C\"\2\u2648\u2649") buf.write("\5)\25\2\u2649\u264a\5E#\2\u264a\u264b\5I%\2\u264b\u264c") buf.write("\5\67\34\2\u264c\u264d\5G$\2\u264d\u5853\3\2\2\2\u264e") buf.write("\u264f\5U+\2\u264f\u2650\5M\'\2\u2650\u2651\5!\21\2\u2651") buf.write("\u2652\5S*\2\u2652\u2653\5!\21\2\u2653\u2654\5U+\2\u2654") buf.write("\u2655\5%\23\2\u2655\u2656\5=\37\2\u2656\u2657\5I%\2\u2657") buf.write("\u2658\5;\36\2\u2658\u2659\5G$\2\u2659\u5853\3\2\2\2\u265a") buf.write("\u265b\5U+\2\u265b\u265c\5M\'\2\u265c\u265d\5!\21\2\u265d") buf.write("\u265e\5S*\2\u265e\u265f\5!\21\2\u265f\u2660\5U+\2\u2660") buf.write("\u2661\5\'\24\2\u2661\u2662\5)\25\2\u2662\u2663\5\67\34") buf.write("\2\u2663\u5853\3\2\2\2\u2664\u2665\5U+\2\u2665\u2666\5") buf.write("G$\2\u2666\u2667\5)\25\2\u2667\u2668\59\35\2\u2668\u2669") buf.write("\5=\37\2\u2669\u266a\5G$\2\u266a\u266b\5\61\31\2\u266b") buf.write("\u266c\5U+\2\u266c\u266d\5M\'\2\u266d\u266e\5!\21\2\u266e") buf.write("\u266f\5S*\2\u266f\u2670\5!\21\2\u2670\u2671\5;\36\2\u2671") buf.write("\u2672\5=\37\2\u2672\u5853\3\2\2\2\u2673\u2674\5U+\2\u2674") buf.write("\u2675\5G$\2\u2675\u2676\5)\25\2\u2676\u2677\59\35\2\u2677") buf.write("\u2678\5=\37\2\u2678\u2679\5G$\2\u2679\u267a\5\61\31\2") buf.write("\u267a\u267b\5U+\2\u267b\u267c\5M\'\2\u267c\u267d\5!\21") buf.write("\2\u267d\u267e\5S*\2\u267e\u267f\5!\21\2\u267f\u2680\5") buf.write("U+\2\u2680\u2681\5;\36\2\u2681\u2682\5!\21\2\u2682\u2683") buf.write("\59\35\2\u2683\u2684\5)\25\2\u2684\u5853\3\2\2\2\u2685") buf.write("\u2686\5U+\2\u2686\u2687\5+\26\2\u2687\u2688\5;\36\2\u2688") buf.write("\u2689\5=\37\2\u2689\u268a\5G$\2\u268a\u268b\5)\25\2\u268b") buf.write("\u268c\5U+\2\u268c\u268d\5E#\2\u268d\u268e\5G$\2\u268e") buf.write("\u268f\5!\21\2\u268f\u2690\5C\"\2\u2690\u2691\5G$\2\u2691") buf.write("\u2692\5U+\2\u2692\u2693\5E#\2\u2693\u2694\5)\25\2\u2694") buf.write("\u2695\5G$\2\u2695\u5853\3\2\2\2\u2696\u2697\5U+\2\u2697") buf.write("\u2698\5+\26\2\u2698\u2699\5;\36\2\u2699\u269a\5=\37\2") buf.write("\u269a\u269b\5G$\2\u269b\u269c\5)\25\2\u269c\u269d\5U") buf.write("+\2\u269d\u269e\5\'\24\2\u269e\u269f\5!\21\2\u269f\u26a0") buf.write("\5G$\2\u26a0\u26a1\5!\21\2\u26a1\u26a2\5U+\2\u26a2\u26a3") buf.write("\59\35\2\u26a3\u26a4\5!\21\2\u26a4\u26a5\5\65\33\2\u26a5") buf.write("\u26a6\5)\25\2\u26a6\u5853\3\2\2\2\u26a7\u26a8\5U+\2\u26a8") buf.write("\u26a9\5+\26\2\u26a9\u26aa\5;\36\2\u26aa\u26ab\5=\37\2") buf.write("\u26ab\u26ac\5G$\2\u26ac\u26ad\5)\25\2\u26ad\u26ae\5U") buf.write("+\2\u26ae\u26af\5\'\24\2\u26af\u26b0\5!\21\2\u26b0\u26b1") buf.write("\5G$\2\u26b1\u26b2\5!\21\2\u26b2\u26b3\5U+\2\u26b3\u26b4") buf.write("\5E#\2\u26b4\u26b5\5!\21\2\u26b5\u26b6\5K&\2\u26b6\u26b7") buf.write("\5)\25\2\u26b7\u5853\3\2\2\2\u26b8\u26b9\5U+\2\u26b9\u26ba") buf.write("\5\61\31\2\u26ba\u26bb\59\35\2\u26bb\u26bc\5%\23\2\u26bc") buf.write("\u26bd\5U+\2\u26bd\u26be\5!\21\2\u26be\u26bf\5%\23\2\u26bf") buf.write("\u26c0\5%\23\2\u26c0\u26c1\5)\25\2\u26c1\u26c2\5U+\2\u26c2") buf.write("\u26c3\5!\21\2\u26c3\u26c4\5\'\24\2\u26c4\u26c5\5\'\24") buf.write("\2\u26c5\u26c6\5U+\2\u26c6\u26c7\5\61\31\2\u26c7\u26c8") buf.write("\5G$\2\u26c8\u26c9\5)\25\2\u26c9\u26ca\59\35\2\u26ca\u5853") buf.write("\3\2\2\2\u26cb\u26cc\5U+\2\u26cc\u26cd\5\61\31\2\u26cd") buf.write("\u26ce\59\35\2\u26ce\u26cf\5%\23\2\u26cf\u26d0\5U+\2\u26d0") buf.write("\u26d1\5!\21\2\u26d1\u26d2\5%\23\2\u26d2\u26d3\5%\23\2") buf.write("\u26d3\u26d4\5)\25\2\u26d4\u26d5\5U+\2\u26d5\u26d6\5!") buf.write("\21\2\u26d6\u26d7\5\'\24\2\u26d7\u26d8\5\'\24\2\u26d8") buf.write("\u26d9\5U+\2\u26d9\u26da\5\61\31\2\u26da\u26db\5G$\2\u26db") buf.write("\u26dc\5)\25\2\u26dc\u26dd\59\35\2\u26dd\u26de\5U+\2\u26de") buf.write("\u26df\5%\23\2\u26df\u26e0\5/\30\2\u26e0\u26e1\5\65\33") buf.write("\2\u26e1\u5853\3\2\2\2\u26e2\u26e3\5U+\2\u26e3\u26e4\5") buf.write("\61\31\2\u26e4\u26e5\59\35\2\u26e5\u26e6\5%\23\2\u26e6") buf.write("\u26e7\5U+\2\u26e7\u26e8\5!\21\2\u26e8\u26e9\5%\23\2\u26e9") buf.write("\u26ea\5%\23\2\u26ea\u26eb\5)\25\2\u26eb\u26ec\5U+\2\u26ec") buf.write("\u26ed\5\61\31\2\u26ed\u26ee\5G$\2\u26ee\u26ef\5)\25\2") buf.write("\u26ef\u26f0\59\35\2\u26f0\u26f1\5U+\2\u26f1\u26f2\5%") buf.write("\23\2\u26f2\u26f3\5/\30\2\u26f3\u26f4\5\65\33\2\u26f4") buf.write("\u5853\3\2\2\2\u26f5\u26f6\5U+\2\u26f6\u26f7\5\61\31\2") buf.write("\u26f7\u26f8\59\35\2\u26f8\u26f9\5%\23\2\u26f9\u26fa\5") buf.write("U+\2\u26fa\u26fb\5#\22\2\u26fb\u26fc\5-\27\2\u26fc\u26fd") buf.write("\5U+\2\u26fd\u26fe\5!\21\2\u26fe\u26ff\5\'\24\2\u26ff") buf.write("\u2700\5\'\24\2\u2700\u2701\5U+\2\u2701\u2702\5\61\31") buf.write("\2\u2702\u2703\5G$\2\u2703\u2704\5)\25\2\u2704\u2705\5") buf.write("9\35\2\u2705\u5853\3\2\2\2\u2706\u2707\5U+\2\u2707\u2708") buf.write("\5\61\31\2\u2708\u2709\59\35\2\u2709\u270a\5%\23\2\u270a") buf.write("\u270b\5U+\2\u270b\u270c\5#\22\2\u270c\u270d\5-\27\2\u270d") buf.write("\u270e\5U+\2\u270e\u270f\5\61\31\2\u270f\u2710\5G$\2\u2710") buf.write("\u2711\5)\25\2\u2711\u2712\59\35\2\u2712\u2713\5U+\2\u2713") buf.write("\u2714\5%\23\2\u2714\u2715\5/\30\2\u2715\u2716\5\65\33") buf.write("\2\u2716\u5853\3\2\2\2\u2717\u2718\5U+\2\u2718\u2719\5") buf.write(";\36\2\u2719\u271a\5I%\2\u271a\u271b\5G$\2\u271b\u271c") buf.write("\59\35\2\u271c\u271d\5\61\31\2\u271d\u271e\5O(\2\u271e") buf.write("\u271f\5)\25\2\u271f\u2720\5C\"\2\u2720\u2721\5U+\2\u2721") buf.write("\u2722\5%\23\2\u2722\u2723\5!\21\2\u2723\u2724\5\67\34") buf.write("\2\u2724\u2725\5\67\34\2\u2725\u5853\3\2\2\2\u2726\u2727") buf.write("\5U+\2\u2727\u2728\5;\36\2\u2728\u2729\5I%\2\u2729\u272a") buf.write("\5G$\2\u272a\u272b\59\35\2\u272b\u272c\5\61\31\2\u272c") buf.write("\u272d\5O(\2\u272d\u272e\5)\25\2\u272e\u272f\5C\"\2\u272f") buf.write("\u2730\5U+\2\u2730\u2731\5? \2\u2731\u2732\5\67\34\2\u2732") buf.write("\u2733\5!\21\2\u2733\u2734\5Q)\2\u2734\u2735\5U+\2\u2735") buf.write("\u2736\5%\23\2\u2736\u2737\5/\30\2\u2737\u2738\5)\25\2") buf.write("\u2738\u2739\5%\23\2\u2739\u273a\5\65\33\2\u273a\u5853") buf.write("\3\2\2\2\u273b\u273c\5U+\2\u273c\u273d\5S*\2\u273d\u273e") buf.write("\5I%\2\u273e\u273f\5\65\33\2\u273f\u2740\5!\21\2\u2740") buf.write("\u2741\5;\36\2\u2741\u2742\5U+\2\u2742\u2743\5%\23\2\u2743") buf.write("\u2744\5/\30\2\u2744\u2745\5\65\33\2\u2745\u2746\5U+\2") buf.write("\u2746\u2747\5E#\2\u2747\u2748\5/\30\2\u2748\u2749\5\61") buf.write("\31\2\u2749\u274a\5;\36\2\u274a\u274b\5=\37\2\u274b\u274c") buf.write("\5I%\2\u274c\u5853\3\2\2\2\u274d\u274e\5U+\2\u274e\u274f") buf.write("\5S*\2\u274f\u2750\5I%\2\u2750\u2751\5\65\33\2\u2751\u2752") buf.write("\5!\21\2\u2752\u2753\5;\36\2\u2753\u2754\5U+\2\u2754\u2755") buf.write("\5%\23\2\u2755\u2756\5/\30\2\u2756\u2757\5\65\33\2\u2757") buf.write("\u2758\5U+\2\u2758\u2759\5;\36\2\u2759\u275a\5!\21\2\u275a") buf.write("\u275b\5G$\2\u275b\u275c\5\61\31\2\u275c\u275d\5=\37\2") buf.write("\u275d\u275e\5;\36\2\u275e\u275f\5!\21\2\u275f\u2760\5") buf.write("\67\34\2\u2760\u5853\3\2\2\2\u2761\u2762\5U+\2\u2762\u2763") buf.write("\5S*\2\u2763\u2764\5I%\2\u2764\u2765\5\65\33\2\u2765\u2766") buf.write("\5!\21\2\u2766\u2767\5;\36\2\u2767\u2768\5U+\2\u2768\u2769") buf.write("\5C\"\2\u2769\u276a\5)\25\2\u276a\u276b\5%\23\2\u276b") buf.write("\u276c\5=\37\2\u276c\u276d\5;\36\2\u276d\u276e\5-\27\2") buf.write("\u276e\u276f\5;\36\2\u276f\u2770\5\61\31\2\u2770\u2771") buf.write("\5S*\2\u2771\u2772\5)\25\2\u2772\u2773\5U+\2\u2773\u2774") buf.write("\5E#\2\u2774\u2775\5/\30\2\u2775\u2776\5\61\31\2\u2776") buf.write("\u2777\5;\36\2\u2777\u2778\5=\37\2\u2778\u2779\5I%\2\u2779") buf.write("\u5853\3\2\2\2\u277a\u277b\5U+\2\u277b\u277c\5S*\2\u277c") buf.write("\u277d\5I%\2\u277d\u277e\5\65\33\2\u277e\u277f\5!\21\2") buf.write("\u277f\u2780\5;\36\2\u2780\u2781\5U+\2\u2781\u2782\5C") buf.write("\"\2\u2782\u2783\5)\25\2\u2783\u2784\5%\23\2\u2784\u2785") buf.write("\5=\37\2\u2785\u2786\5;\36\2\u2786\u2787\5-\27\2\u2787") buf.write("\u2788\5;\36\2\u2788\u2789\5\61\31\2\u2789\u278a\5S*\2") buf.write("\u278a\u278b\5)\25\2\u278b\u278c\5U+\2\u278c\u278d\5;") buf.write("\36\2\u278d\u278e\5!\21\2\u278e\u278f\5G$\2\u278f\u2790") buf.write("\5\61\31\2\u2790\u2791\5=\37\2\u2791\u2792\5;\36\2\u2792") buf.write("\u2793\5!\21\2\u2793\u2794\5\67\34\2\u2794\u5853\3\2\2") buf.write("\2\u2795\u2796\5U+\2\u2796\u2797\5I%\2\u2797\u2798\5C") buf.write("\"\2\u2798\u2799\5!\21\2\u2799\u279a\5Q)\2\u279a\u279b") buf.write("\5!\21\2\u279b\u279c\59\35\2\u279c\u279d\5!\21\2\u279d") buf.write("\u279e\5U+\2\u279e\u279f\5)\25\2\u279f\u27a0\5;\36\2\u27a0") buf.write("\u27a1\5%\23\2\u27a1\u27a2\5=\37\2\u27a2\u27a3\5I%\2\u27a3") buf.write("\u27a4\5;\36\2\u27a4\u27a5\5G$\2\u27a5\u27a6\5U+\2\u27a6") buf.write("\u27a7\5E#\2\u27a7\u27a8\5)\25\2\u27a8\u27a9\5G$\2\u27a9") buf.write("\u5853\3\2\2\2\u27aa\u27ab\5U+\2\u27ab\u27ac\5I%\2\u27ac") buf.write("\u27ad\5C\"\2\u27ad\u27ae\5!\21\2\u27ae\u27af\5Q)\2\u27af") buf.write("\u27b0\5!\21\2\u27b0\u27b1\59\35\2\u27b1\u27b2\5!\21\2") buf.write("\u27b2\u27b3\5U+\2\u27b3\u27b4\5)\25\2\u27b4\u27b5\5;") buf.write("\36\2\u27b5\u27b6\5%\23\2\u27b6\u27b7\5=\37\2\u27b7\u27b8") buf.write("\5I%\2\u27b8\u27b9\5;\36\2\u27b9\u27ba\5G$\2\u27ba\u27bb") buf.write("\5U+\2\u27bb\u27bc\5;\36\2\u27bc\u27bd\5=\37\2\u27bd\u27be") buf.write("\5U+\2\u27be\u27bf\5%\23\2\u27bf\u27c0\5/\30\2\u27c0\u27c1") buf.write("\5\65\33\2\u27c1\u5853\3\2\2\2\u27c2\u27c3\5U+\2\u27c3") buf.write("\u27c4\5? \2\u27c4\u27c5\5=\37\2\u27c5\u27c6\5\65\33\2") buf.write("\u27c6\u27c7\5)\25\2\u27c7\u27c8\5U+\2\u27c8\u27c9\59") buf.write("\35\2\u27c9\u27ca\5!\21\2\u27ca\u27cb\5\61\31\2\u27cb") buf.write("\u27cc\5\67\34\2\u27cc\u27cd\5U+\2\u27cd\u27ce\5%\23\2") buf.write("\u27ce\u27cf\5/\30\2\u27cf\u27d0\5\65\33\2\u27d0\u5853") buf.write("\3\2\2\2\u27d1\u27d2\5U+\2\u27d2\u27d3\5? \2\u27d3\u27d4") buf.write("\5!\21\2\u27d4\u27d5\5? \2\u27d5\u27d6\5)\25\2\u27d6\u27d7") buf.write("\5C\"\2\u27d7\u27d8\5? \2\u27d8\u27d9\5\67\34\2\u27d9") buf.write("\u27da\5!\21\2\u27da\u27db\5;\36\2\u27db\u27dc\5)\25\2") buf.write("\u27dc\u27dd\5U+\2\u27dd\u27de\5E#\2\u27de\u27df\5)\25") buf.write("\2\u27df\u27e0\5G$\2\u27e0\u5853\3\2\2\2\u27e1\u27e2\5") buf.write("U+\2\u27e2\u27e3\5? \2\u27e3\u27e4\5=\37\2\u27e4\u27e5") buf.write("\5\65\33\2\u27e5\u27e6\5)\25\2\u27e6\u27e7\5U+\2\u27e7") buf.write("\u27e8\59\35\2\u27e8\u27e9\5!\21\2\u27e9\u27ea\5\61\31") buf.write("\2\u27ea\u27eb\5\67\34\2\u27eb\u27ec\5U+\2\u27ec\u27ed") buf.write("\5\'\24\2\u27ed\u27ee\5)\25\2\u27ee\u27ef\5\67\34\2\u27ef") buf.write("\u5853\3\2\2\2\u27f0\u27f1\5U+\2\u27f1\u27f2\5\65\33\2") buf.write("\u27f2\u27f3\5!\21\2\u27f3\u27f4\5E#\2\u27f4\u27f5\5)") buf.write("\25\2\u27f5\u27f6\5\65\33\2\u27f6\u27f7\5\61\31\2\u27f7") buf.write("\u27f8\5U+\2\u27f8\u27f9\5%\23\2\u27f9\u27fa\5=\37\2\u27fa") buf.write("\u27fb\5I%\2\u27fb\u27fc\5;\36\2\u27fc\u27fd\5G$\2\u27fd") buf.write("\u5853\3\2\2\2\u27fe\u27ff\5U+\2\u27ff\u2800\5\61\31\2") buf.write("\u2800\u2801\5G$\2\u2801\u2802\5)\25\2\u2802\u2803\59") buf.write("\35\2\u2803\u2804\5\67\34\2\u2804\u2805\5\61\31\2\u2805") buf.write("\u2806\5E#\2\u2806\u2807\5G$\2\u2807\u2808\5U+\2\u2808") buf.write("\u2809\5E#\2\u2809\u280a\5)\25\2\u280a\u280b\5G$\2\u280b") buf.write("\u280c\5U+\2\u280c\u280d\5? \2\u280d\u280e\5C\"\2\u280e") buf.write("\u280f\5=\37\2\u280f\u2810\5%\23\2\u2810\u5853\3\2\2\2") buf.write("\u2811\u2812\5U+\2\u2812\u2813\5\61\31\2\u2813\u2814\5") buf.write("G$\2\u2814\u2815\5)\25\2\u2815\u2816\59\35\2\u2816\u2817") buf.write("\5\67\34\2\u2817\u2818\5\61\31\2\u2818\u2819\5E#\2\u2819") buf.write("\u281a\5G$\2\u281a\u281b\5U+\2\u281b\u281c\5-\27\2\u281c") buf.write("\u281d\5)\25\2\u281d\u281e\5G$\2\u281e\u281f\5U+\2\u281f") buf.write("\u2820\5C\"\2\u2820\u2821\5)\25\2\u2821\u2822\5E#\2\u2822") buf.write("\u2823\5I%\2\u2823\u2824\5\67\34\2\u2824\u2825\5G$\2\u2825") buf.write("\u5853\3\2\2\2\u2826\u2827\5U+\2\u2827\u2828\5\61\31\2") buf.write("\u2828\u2829\5G$\2\u2829\u282a\5)\25\2\u282a\u282b\59") buf.write("\35\2\u282b\u282c\5;\36\2\u282c\u282d\5=\37\2\u282d\u282e") buf.write("\5U+\2\u282e\u282f\5G$\2\u282f\u2830\5=\37\2\u2830\u2831") buf.write("\5U+\2\u2831\u2832\59\35\2\u2832\u2833\5=\37\2\u2833\u2834") buf.write("\5;\36\2\u2834\u2835\5E#\2\u2835\u2836\5;\36\2\u2836\u2837") buf.write("\5=\37\2\u2837\u5853\3\2\2\2\u2838\u2839\5U+\2\u2839\u283a") buf.write("\5\65\33\2\u283a\u283b\5!\21\2\u283b\u283c\5E#\2\u283c") buf.write("\u283d\5)\25\2\u283d\u283e\5\65\33\2\u283e\u283f\5\61") buf.write("\31\2\u283f\u2840\5U+\2\u2840\u2841\5\61\31\2\u2841\u2842") buf.write("\5G$\2\u2842\u2843\5)\25\2\u2843\u2844\59\35\2\u2844\u2845") buf.write("\5;\36\2\u2845\u2846\5=\37\2\u2846\u5853\3\2\2\2\u2847") buf.write("\u2848\5U+\2\u2848\u2849\5? \2\u2849\u284a\5=\37\2\u284a") buf.write("\u284b\5\65\33\2\u284b\u284c\5)\25\2\u284c\u284d\5U+\2") buf.write("\u284d\u284e\5\67\34\2\u284e\u284f\5)\25\2\u284f\u2850") buf.write("\5K&\2\u2850\u2851\5)\25\2\u2851\u2852\5\67\34\2\u2852") buf.write("\u2853\5U+\2\u2853\u2854\5%\23\2\u2854\u2855\5/\30\2\u2855") buf.write("\u2856\5\65\33\2\u2856\u5853\3\2\2\2\u2857\u2858\5U+\2") buf.write("\u2858\u2859\5#\22\2\u2859\u285a\5G$\2\u285a\u285b\5=") buf.write("\37\2\u285b\u285c\5M\'\2\u285c\u285d\5)\25\2\u285d\u285e") buf.write("\5C\"\2\u285e\u285f\5U+\2\u285f\u2860\5!\21\2\u2860\u2861") buf.write("\5? \2\u2861\u2862\5? \2\u2862\u2863\5U+\2\u2863\u2864") buf.write("\5%\23\2\u2864\u2865\5!\21\2\u2865\u2866\5\67\34\2\u2866") buf.write("\u2867\5\67\34\2\u2867\u5853\3\2\2\2\u2868\u2869\5U+\2") buf.write("\u2869\u286a\5#\22\2\u286a\u286b\5G$\2\u286b\u286c\5=") buf.write("\37\2\u286c\u286d\5M\'\2\u286d\u286e\5)\25\2\u286e\u286f") buf.write("\5C\"\2\u286f\u2870\5U+\2\u2870\u2871\5M\'\2\u2871\u2872") buf.write("\5=\37\2\u2872\u2873\5C\"\2\u2873\u2874\5\65\33\2\u2874") buf.write("\u2875\5U+\2\u2875\u2876\5%\23\2\u2876\u2877\5\67\34\2") buf.write("\u2877\u2878\5)\25\2\u2878\u2879\5!\21\2\u2879\u287a\5") buf.write("C\"\2\u287a\u5853\3\2\2\2\u287b\u287c\5U+\2\u287c\u287d") buf.write("\5#\22\2\u287d\u287e\5G$\2\u287e\u287f\5=\37\2\u287f\u2880") buf.write("\5M\'\2\u2880\u2881\5)\25\2\u2881\u2882\5C\"\2\u2882\u2883") buf.write("\5U+\2\u2883\u2884\5M\'\2\u2884\u2885\5=\37\2\u2885\u2886") buf.write("\5C\"\2\u2886\u2887\5\65\33\2\u2887\u2888\5U+\2\u2888") buf.write("\u2889\5\61\31\2\u2889\u288a\5;\36\2\u288a\u288b\5\61") buf.write("\31\2\u288b\u288c\5G$\2\u288c\u5853\3\2\2\2\u288d\u288e") buf.write("\5U+\2\u288e\u288f\5#\22\2\u288f\u2890\5G$\2\u2890\u2891") buf.write("\5=\37\2\u2891\u2892\5M\'\2\u2892\u2893\5)\25\2\u2893") buf.write("\u2894\5C\"\2\u2894\u2895\5U+\2\u2895\u2896\5M\'\2\u2896") buf.write("\u2897\5=\37\2\u2897\u2898\5C\"\2\u2898\u2899\5\65\33") buf.write("\2\u2899\u289a\5U+\2\u289a\u289b\5C\"\2\u289b\u289c\5") buf.write(")\25\2\u289c\u289d\5\67\34\2\u289d\u289e\5)\25\2\u289e") buf.write("\u289f\5!\21\2\u289f\u28a0\5E#\2\u28a0\u28a1\5)\25\2\u28a1") buf.write("\u5853\3\2\2\2\u28a2\u28a3\5U+\2\u28a3\u28a4\5#\22\2\u28a4") buf.write("\u28a5\5G$\2\u28a5\u28a6\5=\37\2\u28a6\u28a7\5M\'\2\u28a7") buf.write("\u28a8\5)\25\2\u28a8\u28a9\5C\"\2\u28a9\u28aa\5U+\2\u28aa") buf.write("\u28ab\5G$\2\u28ab\u28ac\5=\37\2\u28ac\u28ad\5=\37\2\u28ad") buf.write("\u28ae\5\67\34\2\u28ae\u28af\5E#\2\u28af\u5853\3\2\2\2") buf.write("\u28b0\u28b1\5U+\2\u28b1\u28b2\5#\22\2\u28b2\u28b3\5G") buf.write("$\2\u28b3\u28b4\5=\37\2\u28b4\u28b5\5M\'\2\u28b5\u28b6") buf.write("\5)\25\2\u28b6\u28b7\5C\"\2\u28b7\u28b8\5U+\2\u28b8\u28b9") buf.write("\5E#\2\u28b9\u28ba\5)\25\2\u28ba\u28bb\5K&\2\u28bb\u28bc") buf.write("\5)\25\2\u28bc\u28bd\5;\36\2\u28bd\u28be\5U+\2\u28be\u28bf") buf.write("\5? \2\u28bf\u28c0\5=\37\2\u28c0\u28c1\5\65\33\2\u28c1") buf.write("\u28c2\5)\25\2\u28c2\u28c3\5U+\2\u28c3\u28c4\5-\27\2\u28c4") buf.write("\u28c5\5)\25\2\u28c5\u28c6\5G$\2\u28c6\u5853\3\2\2\2\u28c7") buf.write("\u28c8\5U+\2\u28c8\u28c9\5#\22\2\u28c9\u28ca\5G$\2\u28ca") buf.write("\u28cb\5=\37\2\u28cb\u28cc\5M\'\2\u28cc\u28cd\5)\25\2") buf.write("\u28cd\u28ce\5C\"\2\u28ce\u28cf\5U+\2\u28cf\u28d0\5? ") buf.write("\2\u28d0\u28d1\5C\"\2\u28d1\u28d2\5\61\31\2\u28d2\u28d3") buf.write("\5S*\2\u28d3\u28d4\5)\25\2\u28d4\u28d5\5U+\2\u28d5\u28d6") buf.write("\5-\27\2\u28d6\u28d7\5)\25\2\u28d7\u28d8\5G$\2\u28d8\u5853") buf.write("\3\2\2\2\u28d9\u28da\5U+\2\u28da\u28db\5#\22\2\u28db\u28dc") buf.write("\5G$\2\u28dc\u28dd\5=\37\2\u28dd\u28de\5M\'\2\u28de\u28df") buf.write("\5)\25\2\u28df\u28e0\5C\"\2\u28e0\u28e1\5U+\2\u28e1\u28e2") buf.write("\5? \2\u28e2\u28e3\5C\"\2\u28e3\u28e4\5\61\31\2\u28e4") buf.write("\u28e5\5S*\2\u28e5\u28e6\5)\25\2\u28e6\u28e7\59\35\2\u28e7") buf.write("\u28e8\5!\21\2\u28e8\u28e9\5;\36\2\u28e9\u28ea\5U+\2\u28ea") buf.write("\u28eb\5E#\2\u28eb\u28ec\5)\25\2\u28ec\u28ed\5G$\2\u28ed") buf.write("\u5853\3\2\2\2\u28ee\u28ef\5U+\2\u28ef\u28f0\5#\22\2\u28f0") buf.write("\u28f1\5G$\2\u28f1\u28f2\5=\37\2\u28f2\u28f3\5M\'\2\u28f3") buf.write("\u28f4\5)\25\2\u28f4\u28f5\5C\"\2\u28f5\u28f6\5U+\2\u28f6") buf.write("\u28f7\5E#\2\u28f7\u28f8\5)\25\2\u28f8\u28f9\5;\36\2\u28f9") buf.write("\u28fa\5\'\24\2\u28fa\u28fb\5U+\2\u28fb\u28fc\5#\22\2") buf.write("\u28fc\u28fd\5I%\2\u28fd\u28fe\5+\26\2\u28fe\u5853\3\2") buf.write("\2\2\u28ff\u2900\5U+\2\u2900\u2901\5#\22\2\u2901\u2902") buf.write("\5G$\2\u2902\u2903\5=\37\2\u2903\u2904\5M\'\2\u2904\u2905") buf.write("\5)\25\2\u2905\u2906\5C\"\2\u2906\u2907\5U+\2\u2907\u2908") buf.write("\5C\"\2\u2908\u2909\5)\25\2\u2909\u290a\5%\23\2\u290a") buf.write("\u290b\5K&\2\u290b\u290c\5U+\2\u290c\u290d\5#\22\2\u290d") buf.write("\u290e\5I%\2\u290e\u290f\5+\26\2\u290f\u5853\3\2\2\2\u2910") buf.write("\u2911\5U+\2\u2911\u2912\5#\22\2\u2912\u2913\5G$\2\u2913") buf.write("\u2914\5=\37\2\u2914\u2915\5M\'\2\u2915\u2916\5)\25\2") buf.write("\u2916\u2917\5C\"\2\u2917\u2918\5U+\2\u2918\u2919\5-\27") buf.write("\2\u2919\u291a\5)\25\2\u291a\u291b\5G$\2\u291b\u291c\5") buf.write("U+\2\u291c\u291d\5\67\34\2\u291d\u291e\5)\25\2\u291e\u291f") buf.write("\5!\21\2\u291f\u2920\5\'\24\2\u2920\u2921\5)\25\2\u2921") buf.write("\u2922\5C\"\2\u2922\u2923\5U+\2\u2923\u2924\5C\"\2\u2924") buf.write("\u2925\5=\37\2\u2925\u2926\5=\37\2\u2926\u2927\59\35\2") buf.write("\u2927\u2928\5\61\31\2\u2928\u2929\5\'\24\2\u2929\u5853") buf.write("\3\2\2\2\u292a\u292b\5U+\2\u292b\u292c\5#\22\2\u292c\u292d") buf.write("\5G$\2\u292d\u292e\5=\37\2\u292e\u292f\5M\'\2\u292f\u2930") buf.write("\5)\25\2\u2930\u2931\5C\"\2\u2931\u2932\5U+\2\u2932\u2933") buf.write("\5\61\31\2\u2933\u2934\5E#\2\u2934\u2935\5U+\2\u2935\u2936") buf.write("\5\67\34\2\u2936\u2937\5)\25\2\u2937\u2938\5!\21\2\u2938") buf.write("\u2939\5\'\24\2\u2939\u293a\5)\25\2\u293a\u293b\5C\"\2") buf.write("\u293b\u293c\5U+\2\u293c\u293d\5)\25\2\u293d\u293e\5O") buf.write("(\2\u293e\u293f\5\61\31\2\u293f\u2940\5E#\2\u2940\u2941") buf.write("\5G$\2\u2941\u5853\3\2\2\2\u2942\u2943\5U+\2\u2943\u2944") buf.write("\5C\"\2\u2944\u2945\5)\25\2\u2945\u2946\5%\23\2\u2946") buf.write("\u2947\5=\37\2\u2947\u2948\5C\"\2\u2948\u2949\5\'\24\2") buf.write("\u2949\u294a\5U+\2\u294a\u294b\5\61\31\2\u294b\u294c\5") buf.write(";\36\2\u294c\u294d\5%\23\2\u294d\u5853\3\2\2\2\u294e\u294f") buf.write("\5U+\2\u294f\u2950\5C\"\2\u2950\u2951\5)\25\2\u2951\u2952") buf.write("\5%\23\2\u2952\u2953\5=\37\2\u2953\u2954\5C\"\2\u2954") buf.write("\u2955\5\'\24\2\u2955\u2956\5U+\2\u2956\u2957\5-\27\2") buf.write("\u2957\u2958\5)\25\2\u2958\u2959\5G$\2\u2959\u5853\3\2") buf.write("\2\2\u295a\u295b\5U+\2\u295b\u295c\5C\"\2\u295c\u295d") buf.write("\5)\25\2\u295d\u295e\5%\23\2\u295e\u295f\5=\37\2\u295f") buf.write("\u2960\5C\"\2\u2960\u2961\5\'\24\2\u2961\u2962\5U+\2\u2962") buf.write("\u2963\5!\21\2\u2963\u2964\5\'\24\2\u2964\u2965\5\'\24") buf.write("\2\u2965\u5853\3\2\2\2\u2966\u2967\5U+\2\u2967\u2968\5") buf.write("C\"\2\u2968\u2969\5)\25\2\u2969\u296a\5%\23\2\u296a\u296b") buf.write("\5=\37\2\u296b\u296c\5C\"\2\u296c\u296d\5\'\24\2\u296d") buf.write("\u296e\5U+\2\u296e\u296f\5E#\2\u296f\u2970\5)\25\2\u2970") buf.write("\u2971\5G$\2\u2971\u5853\3\2\2\2\u2972\u2973\5U+\2\u2973") buf.write("\u2974\5C\"\2\u2974\u2975\5)\25\2\u2975\u2976\5%\23\2") buf.write("\u2976\u2977\5=\37\2\u2977\u2978\5C\"\2\u2978\u2979\5") buf.write("\'\24\2\u2979\u297a\5U+\2\u297a\u297b\5E#\2\u297b\u297c") buf.write("\5)\25\2\u297c\u297d\5G$\2\u297d\u297e\5\61\31\2\u297e") buf.write("\u297f\5+\26\2\u297f\u2980\5\67\34\2\u2980\u2981\5!\21") buf.write("\2\u2981\u2982\5C\"\2\u2982\u2983\5-\27\2\u2983\u2984") buf.write("\5)\25\2\u2984\u5853\3\2\2\2\u2985\u2986\5U+\2\u2986\u2987") buf.write("\5E#\2\u2987\u2988\5!\21\2\u2988\u2989\5+\26\2\u2989\u298a") buf.write("\5!\21\2\u298a\u298b\5C\"\2\u298b\u298c\5\61\31\2\u298c") buf.write("\u298d\5U+\2\u298d\u298e\5E#\2\u298e\u298f\5G$\2\u298f") buf.write("\u2990\5!\21\2\u2990\u2991\5C\"\2\u2991\u2992\5G$\2\u2992") buf.write("\u5853\3\2\2\2\u2993\u2994\5U+\2\u2994\u2995\5E#\2\u2995") buf.write("\u2996\5!\21\2\u2996\u2997\5+\26\2\u2997\u2998\5!\21\2") buf.write("\u2998\u2999\5C\"\2\u2999\u299a\5\61\31\2\u299a\u299b") buf.write("\5U+\2\u299b\u299c\5)\25\2\u299c\u299d\5;\36\2\u299d\u299e") buf.write("\5\'\24\2\u299e\u5853\3\2\2\2\u299f\u29a0\5U+\2\u29a0") buf.write("\u29a1\5%\23\2\u29a1\u29a2\5!\21\2\u29a2\u29a3\5\67\34") buf.write("\2\u29a3\u29a4\5\67\34\2\u29a4\u29a5\5U+\2\u29a5\u29a6") buf.write("\5E#\2\u29a6\u29a7\5!\21\2\u29a7\u29a8\5+\26\2\u29a8\u29a9") buf.write("\5!\21\2\u29a9\u29aa\5C\"\2\u29aa\u29ab\5\61\31\2\u29ab") buf.write("\u29ac\5U+\2\u29ac\u29ad\5E#\2\u29ad\u29ae\5%\23\2\u29ae") buf.write("\u29af\5=\37\2\u29af\u29b0\5? \2\u29b0\u29b1\5)\25\2\u29b1") buf.write("\u5853\3\2\2\2\u29b2\u29b3\5U+\2\u29b3\u29b4\5%\23\2\u29b4") buf.write("\u29b5\5\67\34\2\u29b5\u29b6\5\61\31\2\u29b6\u29b7\59") buf.write("\35\2\u29b7\u29b8\5!\21\2\u29b8\u29b9\5O(\2\u29b9\u29ba") buf.write("\5U+\2\u29ba\u29bb\5\'\24\2\u29bb\u29bc\5)\25\2\u29bc") buf.write("\u29bd\59\35\2\u29bd\u29be\5=\37\2\u29be\u5853\3\2\2\2") buf.write("\u29bf\u29c0\5U+\2\u29c0\u29c1\5\61\31\2\u29c1\u29c2\5") buf.write(";\36\2\u29c2\u29c3\5\61\31\2\u29c3\u29c4\5G$\2\u29c4\u29c5") buf.write("\5U+\2\u29c5\u29c6\5E#\2\u29c6\u29c7\5!\21\2\u29c7\u29c8") buf.write("\5+\26\2\u29c8\u29c9\5!\21\2\u29c9\u29ca\5C\"\2\u29ca") buf.write("\u29cb\5\61\31\2\u29cb\u29cc\5U+\2\u29cc\u29cd\5G$\2\u29cd") buf.write("\u29ce\5C\"\2\u29ce\u29cf\5!\21\2\u29cf\u29d0\5\61\31") buf.write("\2\u29d0\u29d1\5;\36\2\u29d1\u5853\3\2\2\2\u29d2\u29d3") buf.write("\5U+\2\u29d3\u29d4\59\35\2\u29d4\u29d5\5=\37\2\u29d5\u29d6") buf.write("\5K&\2\u29d6\u29d7\5)\25\2\u29d7\u29d8\5U+\2\u29d8\u29d9") buf.write("\5E#\2\u29d9\u29da\5!\21\2\u29da\u29db\5+\26\2\u29db\u29dc") buf.write("\5!\21\2\u29dc\u29dd\5C\"\2\u29dd\u29de\5\61\31\2\u29de") buf.write("\u29df\5U+\2\u29df\u29e0\5G$\2\u29e0\u29e1\5C\"\2\u29e1") buf.write("\u29e2\5!\21\2\u29e2\u29e3\5\61\31\2\u29e3\u29e4\5;\36") buf.write("\2\u29e4\u5853\3\2\2\2\u29e5\u29e6\5U+\2\u29e6\u29e7\5") buf.write("%\23\2\u29e7\u29e8\5/\30\2\u29e8\u29e9\5)\25\2\u29e9\u29ea") buf.write("\5%\23\2\u29ea\u29eb\5\65\33\2\u29eb\u29ec\5U+\2\u29ec") buf.write("\u29ed\5E#\2\u29ed\u29ee\5!\21\2\u29ee\u29ef\5+\26\2\u29ef") buf.write("\u29f0\5!\21\2\u29f0\u29f1\5C\"\2\u29f1\u29f2\5\61\31") buf.write("\2\u29f2\u29f3\5U+\2\u29f3\u29f4\5G$\2\u29f4\u29f5\5C") buf.write("\"\2\u29f5\u29f6\5!\21\2\u29f6\u29f7\5\61\31\2\u29f7\u29f8") buf.write("\5;\36\2\u29f8\u5853\3\2\2\2\u29f9\u29fa\5U+\2\u29fa\u29fb") buf.write("\5? \2\u29fb\u29fc\5\67\34\2\u29fc\u29fd\5!\21\2\u29fd") buf.write("\u29fe\5Q)\2\u29fe\u29ff\5)\25\2\u29ff\u2a00\5C\"\2\u2a00") buf.write("\u2a01\5U+\2\u2a01\u2a02\5/\30\2\u2a02\u2a03\5)\25\2\u2a03") buf.write("\u2a04\5-\27\2\u2a04\u2a05\5\61\31\2\u2a05\u2a06\5/\30") buf.write("\2\u2a06\u2a07\5G$\2\u2a07\u2a08\5U+\2\u2a08\u2a09\5K") buf.write("&\2\u2a09\u2a0a\5!\21\2\u2a0a\u2a0b\5\67\34\2\u2a0b\u2a0c") buf.write("\5\61\31\2\u2a0c\u2a0d\5\'\24\2\u2a0d\u5853\3\2\2\2\u2a0e") buf.write("\u2a0f\5U+\2\u2a0f\u2a10\5-\27\2\u2a10\u2a11\5)\25\2\u2a11") buf.write("\u2a12\5G$\2\u2a12\u2a13\5U+\2\u2a13\u2a14\5? \2\u2a14") buf.write("\u2a15\5=\37\2\u2a15\u2a16\5\65\33\2\u2a16\u2a17\5)\25") buf.write("\2\u2a17\u2a18\5U+\2\u2a18\u2a19\5E#\2\u2a19\u2a1a\5)") buf.write("\25\2\u2a1a\u2a1b\5\61\31\2\u2a1b\u2a1c\5\65\33\2\u2a1c") buf.write("\u2a1d\5!\21\2\u2a1d\u2a1e\5\65\33\2\u2a1e\u2a1f\5I%\2") buf.write("\u2a1f\u5853\3\2\2\2\u2a20\u2a21\5U+\2\u2a21\u2a22\5%") buf.write("\23\2\u2a22\u2a23\5/\30\2\u2a23\u2a24\5\65\33\2\u2a24") buf.write("\u2a25\5U+\2\u2a25\u2a26\5? \2\u2a26\u2a27\5=\37\2\u2a27") buf.write("\u2a28\5\65\33\2\u2a28\u2a29\5)\25\2\u2a29\u2a2a\5U+\2") buf.write("\u2a2a\u2a2b\5E#\2\u2a2b\u2a2c\5)\25\2\u2a2c\u2a2d\5\61") buf.write("\31\2\u2a2d\u2a2e\5\65\33\2\u2a2e\u2a2f\5!\21\2\u2a2f") buf.write("\u2a30\5\65\33\2\u2a30\u2a31\5I%\2\u2a31\u2a32\5U+\2\u2a32") buf.write("\u2a33\5!\21\2\u2a33\u2a34\5\67\34\2\u2a34\u2a35\5\67") buf.write("\34\2\u2a35\u5853\3\2\2\2\u2a36\u2a37\5U+\2\u2a37\u2a38") buf.write("\5I%\2\u2a38\u2a39\5;\36\2\u2a39\u2a3a\5\'\24\2\u2a3a") buf.write("\u2a3b\5)\25\2\u2a3b\u2a3c\5C\"\2\u2a3c\u2a3d\5-\27\2") buf.write("\u2a3d\u2a3e\5C\"\2\u2a3e\u2a3f\5=\37\2\u2a3f\u2a40\5") buf.write("I%\2\u2a40\u2a41\5;\36\2\u2a41\u2a42\5\'\24\2\u2a42\u2a43") buf.write("\5U+\2\u2a43\u2a44\5G$\2\u2a44\u2a45\5!\21\2\u2a45\u2a46") buf.write("\5\67\34\2\u2a46\u2a47\5\65\33\2\u2a47\u2a48\5U+\2\u2a48") buf.write("\u2a49\5%\23\2\u2a49\u2a4a\5=\37\2\u2a4a\u2a4b\5I%\2\u2a4b") buf.write("\u2a4c\5;\36\2\u2a4c\u2a4d\5G$\2\u2a4d\u5853\3\2\2\2\u2a4e") buf.write("\u2a4f\5U+\2\u2a4f\u2a50\5;\36\2\u2a50\u2a51\5!\21\2\u2a51") buf.write("\u2a52\5G$\2\u2a52\u2a53\5I%\2\u2a53\u2a54\5C\"\2\u2a54") buf.write("\u2a55\5!\21\2\u2a55\u2a56\5\67\34\2\u2a56\u2a57\5U+\2") buf.write("\u2a57\u2a58\5? \2\u2a58\u2a59\5!\21\2\u2a59\u2a5a\5C") buf.write("\"\2\u2a5a\u2a5b\5\65\33\2\u2a5b\u2a5c\5U+\2\u2a5c\u2a5d") buf.write("\5M\'\2\u2a5d\u2a5e\5!\21\2\u2a5e\u2a5f\5\67\34\2\u2a5f") buf.write("\u2a60\5\65\33\2\u2a60\u2a61\5U+\2\u2a61\u2a62\5%\23\2") buf.write("\u2a62\u2a63\5=\37\2\u2a63\u2a64\5I%\2\u2a64\u2a65\5;") buf.write("\36\2\u2a65\u2a66\5G$\2\u2a66\u2a67\5U+\2\u2a67\u2a68") buf.write("\5%\23\2\u2a68\u2a69\5\67\34\2\u2a69\u2a6a\5)\25\2\u2a6a") buf.write("\u2a6b\5!\21\2\u2a6b\u2a6c\5C\"\2\u2a6c\u5853\3\2\2\2") buf.write("\u2a6d\u2a6e\5U+\2\u2a6e\u2a6f\5;\36\2\u2a6f\u2a70\5!") buf.write("\21\2\u2a70\u2a71\5G$\2\u2a71\u2a72\5I%\2\u2a72\u2a73") buf.write("\5C\"\2\u2a73\u2a74\5!\21\2\u2a74\u2a75\5\67\34\2\u2a75") buf.write("\u2a76\5U+\2\u2a76\u2a77\5? \2\u2a77\u2a78\5!\21\2\u2a78") buf.write("\u2a79\5C\"\2\u2a79\u2a7a\5\65\33\2\u2a7a\u2a7b\5U+\2") buf.write("\u2a7b\u2a7c\5M\'\2\u2a7c\u2a7d\5!\21\2\u2a7d\u2a7e\5") buf.write("\67\34\2\u2a7e\u2a7f\5\65\33\2\u2a7f\u2a80\5U+\2\u2a80") buf.write("\u2a81\5%\23\2\u2a81\u2a82\5=\37\2\u2a82\u2a83\5I%\2\u2a83") buf.write("\u2a84\5;\36\2\u2a84\u2a85\5G$\2\u2a85\u2a86\5U+\2\u2a86") buf.write("\u2a87\5-\27\2\u2a87\u2a88\5)\25\2\u2a88\u2a89\5G$\2\u2a89") buf.write("\u5853\3\2\2\2\u2a8a\u2a8b\5U+\2\u2a8b\u2a8c\5;\36\2\u2a8c") buf.write("\u2a8d\5!\21\2\u2a8d\u2a8e\5G$\2\u2a8e\u2a8f\5I%\2\u2a8f") buf.write("\u2a90\5C\"\2\u2a90\u2a91\5!\21\2\u2a91\u2a92\5\67\34") buf.write("\2\u2a92\u2a93\5U+\2\u2a93\u2a94\5? \2\u2a94\u2a95\5!") buf.write("\21\2\u2a95\u2a96\5C\"\2\u2a96\u2a97\5\65\33\2\u2a97\u2a98") buf.write("\5U+\2\u2a98\u2a99\5!\21\2\u2a99\u2a9a\5%\23\2\u2a9a\u2a9b") buf.write("\5%\23\2\u2a9b\u2a9c\5)\25\2\u2a9c\u2a9d\5E#\2\u2a9d\u2a9e") buf.write("\5E#\2\u2a9e\u2a9f\5=\37\2\u2a9f\u2aa0\5C\"\2\u2aa0\u2aa1") buf.write("\5Q)\2\u2aa1\u2aa2\5U+\2\u2aa2\u2aa3\5;\36\2\u2aa3\u2aa4") buf.write("\5=\37\2\u2aa4\u2aa5\5U+\2\u2aa5\u2aa6\5-\27\2\u2aa6\u2aa7") buf.write("\5)\25\2\u2aa7\u2aa8\5G$\2\u2aa8\u5853\3\2\2\2\u2aa9\u2aaa") buf.write("\5U+\2\u2aaa\u2aab\5-\27\2\u2aab\u2aac\5)\25\2\u2aac\u2aad") buf.write("\5G$\2\u2aad\u2aae\5U+\2\u2aae\u2aaf\5;\36\2\u2aaf\u2ab0") buf.write("\5)\25\2\u2ab0\u2ab1\5M\'\2\u2ab1\u2ab2\5E#\2\u2ab2\u2ab3") buf.write("\5U+\2\u2ab3\u2ab4\5? \2\u2ab4\u2ab5\5=\37\2\u2ab5\u2ab6") buf.write("\5\65\33\2\u2ab6\u2ab7\5)\25\2\u2ab7\u2ab8\5U+\2\u2ab8") buf.write("\u2ab9\5;\36\2\u2ab9\u2aba\5=\37\2\u2aba\u5853\3\2\2\2") buf.write("\u2abb\u2abc\5U+\2\u2abc\u2abd\5;\36\2\u2abd\u2abe\5)") buf.write("\25\2\u2abe\u2abf\5M\'\2\u2abf\u2ac0\5E#\2\u2ac0\u2ac1") buf.write("\5U+\2\u2ac1\u2ac2\5%\23\2\u2ac2\u2ac3\5=\37\2\u2ac3\u2ac4") buf.write("\5I%\2\u2ac4\u2ac5\5;\36\2\u2ac5\u2ac6\5G$\2\u2ac6\u2ac7") buf.write("\5U+\2\u2ac7\u2ac8\5E#\2\u2ac8\u2ac9\5)\25\2\u2ac9\u2aca") buf.write("\5G$\2\u2aca\u5853\3\2\2\2\u2acb\u2acc\5U+\2\u2acc\u2acd") buf.write("\5;\36\2\u2acd\u2ace\5)\25\2\u2ace\u2acf\5M\'\2\u2acf") buf.write("\u2ad0\5E#\2\u2ad0\u2ad1\5U+\2\u2ad1\u2ad2\5%\23\2\u2ad2") buf.write("\u2ad3\5=\37\2\u2ad3\u2ad4\5I%\2\u2ad4\u2ad5\5;\36\2\u2ad5") buf.write("\u2ad6\5G$\2\u2ad6\u2ad7\5U+\2\u2ad7\u2ad8\5%\23\2\u2ad8") buf.write("\u2ad9\5/\30\2\u2ad9\u2ada\5\65\33\2\u2ada\u5853\3\2\2") buf.write("\2\u2adb\u2adc\5U+\2\u2adc\u2add\5E#\2\u2add\u2ade\5G") buf.write("$\2\u2ade\u2adf\5!\21\2\u2adf\u2ae0\5C\"\2\u2ae0\u2ae1") buf.write("\5G$\2\u2ae1\u2ae2\5U+\2\u2ae2\u2ae3\5-\27\2\u2ae3\u2ae4") buf.write("\5)\25\2\u2ae4\u2ae5\5;\36\2\u2ae5\u2ae6\5)\25\2\u2ae6") buf.write("\u2ae7\5C\"\2\u2ae7\u2ae8\5!\21\2\u2ae8\u2ae9\5G$\2\u2ae9") buf.write("\u2aea\5)\25\2\u2aea\u5853\3\2\2\2\u2aeb\u2aec\5U+\2\u2aec") buf.write("\u2aed\5!\21\2\u2aed\u2aee\5\'\24\2\u2aee\u2aef\5\'\24") buf.write("\2\u2aef\u2af0\5U+\2\u2af0\u2af1\59\35\2\u2af1\u2af2\5") buf.write("=\37\2\u2af2\u2af3\5K&\2\u2af3\u2af4\5)\25\2\u2af4\u2af5") buf.write("\5U+\2\u2af5\u2af6\5? \2\u2af6\u2af7\5=\37\2\u2af7\u2af8") buf.write("\5\65\33\2\u2af8\u2af9\5)\25\2\u2af9\u5853\3\2\2\2\u2afa") buf.write("\u2afb\5U+\2\u2afb\u2afc\5=\37\2\u2afc\u2afd\5E#\2\u2afd") buf.write("\u2afe\5/\30\2\u2afe\u2aff\5\61\31\2\u2aff\u2b00\5)\25") buf.write("\2\u2b00\u2b01\5U+\2\u2b01\u2b02\5M\'\2\u2b02\u2b03\5") buf.write("!\21\2\u2b03\u2b04\5S*\2\u2b04\u2b05\5!\21\2\u2b05\u2b06") buf.write("\5U+\2\u2b06\u2b07\5%\23\2\u2b07\u2b08\5=\37\2\u2b08\u2b09") buf.write("\5I%\2\u2b09\u2b0a\5;\36\2\u2b0a\u2b0b\5G$\2\u2b0b\u5853") buf.write("\3\2\2\2\u2b0c\u2b0d\5U+\2\u2b0d\u2b0e\5C\"\2\u2b0e\u2b0f") buf.write("\5)\25\2\u2b0f\u2b10\59\35\2\u2b10\u2b11\5!\21\2\u2b11") buf.write("\u2b12\5\61\31\2\u2b12\u2b13\5;\36\2\u2b13\u2b14\5\'\24") buf.write("\2\u2b14\u2b15\5U+\2\u2b15\u2b16\5M\'\2\u2b16\u2b17\5") buf.write("!\21\2\u2b17\u2b18\5S*\2\u2b18\u2b19\5!\21\2\u2b19\u2b1a") buf.write("\5U+\2\u2b1a\u2b1b\5%\23\2\u2b1b\u2b1c\5=\37\2\u2b1c\u2b1d") buf.write("\5I%\2\u2b1d\u2b1e\5;\36\2\u2b1e\u2b1f\5G$\2\u2b1f\u5853") buf.write("\3\2\2\2\u2b20\u2b21\5U+\2\u2b21\u2b22\5=\37\2\u2b22\u2b23") buf.write("\5E#\2\u2b23\u2b24\5/\30\2\u2b24\u2b25\5\61\31\2\u2b25") 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buf.write("\u2b4e\5G$\2\u2b4e\u2b4f\5U+\2\u2b4f\u2b50\5? \2\u2b50") buf.write("\u2b51\5C\"\2\u2b51\u2b52\5=\37\2\u2b52\u2b53\5%\23\2") buf.write("\u2b53\u5853\3\2\2\2\u2b54\u2b55\5U+\2\u2b55\u2b56\5=") buf.write("\37\2\u2b56\u2b57\5E#\2\u2b57\u2b58\5/\30\2\u2b58\u2b59") buf.write("\5\61\31\2\u2b59\u2b5a\5)\25\2\u2b5a\u2b5b\5U+\2\u2b5b") buf.write("\u2b5c\5M\'\2\u2b5c\u2b5d\5!\21\2\u2b5d\u2b5e\5S*\2\u2b5e") buf.write("\u2b5f\5!\21\2\u2b5f\u2b60\5\67\34\2\u2b60\u2b61\5\61") buf.write("\31\2\u2b61\u2b62\5E#\2\u2b62\u2b63\5G$\2\u2b63\u2b64") buf.write("\5U+\2\u2b64\u2b65\5-\27\2\u2b65\u2b66\5)\25\2\u2b66\u2b67") buf.write("\5G$\2\u2b67\u2b68\5U+\2\u2b68\u2b69\5C\"\2\u2b69\u2b6a") buf.write("\5)\25\2\u2b6a\u2b6b\5E#\2\u2b6b\u2b6c\5I%\2\u2b6c\u2b6d") buf.write("\5\67\34\2\u2b6d\u2b6e\5G$\2\u2b6e\u5853\3\2\2\2\u2b6f") buf.write("\u2b70\5U+\2\u2b70\u2b71\5C\"\2\u2b71\u2b72\5)\25\2\u2b72") buf.write("\u2b73\59\35\2\u2b73\u2b74\5!\21\2\u2b74\u2b75\5\61\31") buf.write("\2\u2b75\u2b76\5;\36\2\u2b76\u2b77\5\'\24\2\u2b77\u2b78") buf.write("\5U+\2\u2b78\u2b79\5M\'\2\u2b79\u2b7a\5!\21\2\u2b7a\u2b7b") buf.write("\5S*\2\u2b7b\u2b7c\5!\21\2\u2b7c\u2b7d\5\67\34\2\u2b7d") buf.write("\u2b7e\5\61\31\2\u2b7e\u2b7f\5E#\2\u2b7f\u2b80\5G$\2\u2b80") buf.write("\u2b81\5U+\2\u2b81\u2b82\5-\27\2\u2b82\u2b83\5)\25\2\u2b83") buf.write("\u2b84\5G$\2\u2b84\u2b85\5U+\2\u2b85\u2b86\5C\"\2\u2b86") buf.write("\u2b87\5)\25\2\u2b87\u2b88\5E#\2\u2b88\u2b89\5I%\2\u2b89") buf.write("\u2b8a\5\67\34\2\u2b8a\u2b8b\5G$\2\u2b8b\u5853\3\2\2\2") buf.write("\u2b8c\u2b8d\5U+\2\u2b8d\u2b8e\5;\36\2\u2b8e\u2b8f\5=") buf.write("\37\2\u2b8f\u2b90\5C\"\2\u2b90\u2b91\59\35\2\u2b91\u2b92") buf.write("\5!\21\2\u2b92\u2b93\5\67\34\2\u2b93\u2b94\5U+\2\u2b94") buf.write("\u2b95\5M\'\2\u2b95\u2b96\5!\21\2\u2b96\u2b97\5S*\2\u2b97") buf.write("\u2b98\5!\21\2\u2b98\u2b99\5\67\34\2\u2b99\u2b9a\5\61") buf.write("\31\2\u2b9a\u2b9b\5E#\2\u2b9b\u2b9c\5G$\2\u2b9c\u2b9d") buf.write("\5U+\2\u2b9d\u2b9e\5E#\2\u2b9e\u2b9f\5)\25\2\u2b9f\u2ba0") buf.write("\5G$\2\u2ba0\u2ba1\5U+\2\u2ba1\u2ba2\5? \2\u2ba2\u2ba3") buf.write("\5C\"\2\u2ba3\u2ba4\5=\37\2\u2ba4\u2ba5\5%\23\2\u2ba5") buf.write("\u5853\3\2\2\2\u2ba6\u2ba7\5U+\2\u2ba7\u2ba8\5;\36\2\u2ba8") buf.write("\u2ba9\5=\37\2\u2ba9\u2baa\5C\"\2\u2baa\u2bab\59\35\2") buf.write("\u2bab\u2bac\5!\21\2\u2bac\u2bad\5\67\34\2\u2bad\u2bae") buf.write("\5U+\2\u2bae\u2baf\5M\'\2\u2baf\u2bb0\5!\21\2\u2bb0\u2bb1") buf.write("\5S*\2\u2bb1\u2bb2\5!\21\2\u2bb2\u2bb3\5\67\34\2\u2bb3") buf.write("\u2bb4\5\61\31\2\u2bb4\u2bb5\5E#\2\u2bb5\u2bb6\5G$\2\u2bb6") buf.write("\u2bb7\5U+\2\u2bb7\u2bb8\5-\27\2\u2bb8\u2bb9\5)\25\2\u2bb9") buf.write("\u2bba\5G$\2\u2bba\u2bbb\5U+\2\u2bbb\u2bbc\5C\"\2\u2bbc") buf.write("\u2bbd\5)\25\2\u2bbd\u2bbe\5E#\2\u2bbe\u2bbf\5I%\2\u2bbf") buf.write("\u2bc0\5\67\34\2\u2bc0\u2bc1\5G$\2\u2bc1\u5853\3\2\2\2") buf.write("\u2bc2\u2bc3\5U+\2\u2bc3\u2bc4\5+\26\2\u2bc4\u2bc5\5\67") buf.write("\34\2\u2bc5\u2bc6\5\'\24\2\u2bc6\u2bc7\5U+\2\u2bc7\u2bc8") buf.write("\5G$\2\u2bc8\u2bc9\5C\"\2\u2bc9\u2bca\5!\21\2\u2bca\u2bcb") buf.write("\5\'\24\2\u2bcb\u2bcc\5)\25\2\u2bcc\u2bcd\5U+\2\u2bcd") buf.write("\u2bce\5!\21\2\u2bce\u2bcf\5\67\34\2\u2bcf\u2bd0\5\67") buf.write("\34\2\u2bd0\u2bd1\5=\37\2\u2bd1\u2bd2\5%\23\2\u2bd2\u5853") buf.write("\3\2\2\2\u2bd3\u2bd4\5U+\2\u2bd4\u2bd5\5+\26\2\u2bd5\u2bd6") buf.write("\5\67\34\2\u2bd6\u2bd7\5\'\24\2\u2bd7\u2bd8\5U+\2\u2bd8") buf.write("\u2bd9\5G$\2\u2bd9\u2bda\5C\"\2\u2bda\u2bdb\5!\21\2\u2bdb") buf.write("\u2bdc\5\'\24\2\u2bdc\u2bdd\5)\25\2\u2bdd\u2bde\5U+\2") buf.write("\u2bde\u2bdf\59\35\2\u2bdf\u2be0\5=\37\2\u2be0\u2be1\5") buf.write(";\36\2\u2be1\u2be2\5E#\2\u2be2\u2be3\5;\36\2\u2be3\u2be4") buf.write("\5=\37\2\u2be4\u5853\3\2\2\2\u2be5\u2be6\5U+\2\u2be6\u2be7") buf.write("\5+\26\2\u2be7\u2be8\5\67\34\2\u2be8\u2be9\5\'\24\2\u2be9") buf.write("\u2bea\5U+\2\u2bea\u2beb\5G$\2\u2beb\u2bec\5C\"\2\u2bec") buf.write("\u2bed\5!\21\2\u2bed\u2bee\5\'\24\2\u2bee\u2bef\5)\25") buf.write("\2\u2bef\u2bf0\5U+\2\u2bf0\u2bf1\5%\23\2\u2bf1\u2bf2\5") buf.write("/\30\2\u2bf2\u2bf3\5-\27\2\u2bf3\u2bf4\5U+\2\u2bf4\u2bf5") buf.write("\59\35\2\u2bf5\u2bf6\5=\37\2\u2bf6\u2bf7\5;\36\2\u2bf7") buf.write("\u2bf8\5E#\2\u2bf8\u2bf9\5;\36\2\u2bf9\u2bfa\5=\37\2\u2bfa") buf.write("\u5853\3\2\2\2\u2bfb\u2bfc\5U+\2\u2bfc\u2bfd\5+\26\2\u2bfd") buf.write("\u2bfe\5\67\34\2\u2bfe\u2bff\5\'\24\2\u2bff\u2c00\5U+") buf.write("\2\u2c00\u2c01\5G$\2\u2c01\u2c02\5C\"\2\u2c02\u2c03\5") buf.write("!\21\2\u2c03\u2c04\5\'\24\2\u2c04\u2c05\5)\25\2\u2c05") buf.write("\u2c06\5U+\2\u2c06\u2c07\5)\25\2\u2c07\u2c08\5K&\2\u2c08") buf.write("\u2c09\5)\25\2\u2c09\u2c0a\5;\36\2\u2c0a\u2c0b\5G$\2\u2c0b") buf.write("\u5853\3\2\2\2\u2c0c\u2c0d\5U+\2\u2c0d\u2c0e\5+\26\2\u2c0e") buf.write("\u2c0f\5\67\34\2\u2c0f\u2c10\5\'\24\2\u2c10\u2c11\5U+") buf.write("\2\u2c11\u2c12\5G$\2\u2c12\u2c13\5C\"\2\u2c13\u2c14\5") buf.write("!\21\2\u2c14\u2c15\5\'\24\2\u2c15\u2c16\5)\25\2\u2c16") buf.write("\u2c17\5U+\2\u2c17\u2c18\5\'\24\2\u2c18\u2c19\5)\25\2") buf.write("\u2c19\u2c1a\5\67\34\2\u2c1a\u5853\3\2\2\2\u2c1b\u2c1c") buf.write("\5U+\2\u2c1c\u2c1d\5S*\2\u2c1d\u2c1e\5I%\2\u2c1e\u2c1f") buf.write("\5\65\33\2\u2c1f\u2c20\5!\21\2\u2c20\u2c21\5;\36\2\u2c21") buf.write("\u2c22\5U+\2\u2c22\u2c23\5G$\2\u2c23\u2c24\5)\25\2\u2c24") buf.write("\u2c25\5O(\2\u2c25\u2c26\5G$\2\u2c26\u2c27\5U+\2\u2c27") buf.write("\u2c28\5K&\2\u2c28\u2c29\5)\25\2\u2c29\u2c2a\5C\"\2\u2c2a") buf.write("\u2c2b\5U+\2\u2c2b\u2c2c\5I%\2\u2c2c\u2c2d\5? \2\u2c2d") buf.write("\u5853\3\2\2\2\u2c2e\u2c2f\5U+\2\u2c2f\u2c30\5S*\2\u2c30") buf.write("\u2c31\5I%\2\u2c31\u2c32\5\65\33\2\u2c32\u2c33\5!\21\2") buf.write("\u2c33\u2c34\5;\36\2\u2c34\u2c35\5U+\2\u2c35\u2c36\5E") buf.write("#\2\u2c36\u2c37\5)\25\2\u2c37\u2c38\5O(\2\u2c38\u2c39") buf.write("\5U+\2\u2c39\u2c3a\5K&\2\u2c3a\u2c3b\5)\25\2\u2c3b\u2c3c") buf.write("\5C\"\2\u2c3c\u2c3d\5U+\2\u2c3d\u2c3e\5I%\2\u2c3e\u2c3f") buf.write("\5? \2\u2c3f\u5853\3\2\2\2\u2c40\u2c41\5U+\2\u2c41\u2c42") buf.write("\5S*\2\u2c42\u2c43\5)\25\2\u2c43\u2c44\5;\36\2\u2c44\u2c45") buf.write("\5\65\33\2\u2c45\u2c46\5=\37\2\u2c46\u2c47\5\65\33\2\u2c47") buf.write("\u2c48\5I%\2\u2c48\u2c49\5U+\2\u2c49\u2c4a\5S*\2\u2c4a") buf.write("\u2c4b\5I%\2\u2c4b\u2c4c\5\65\33\2\u2c4c\u2c4d\5!\21\2") buf.write("\u2c4d\u2c4e\5;\36\2\u2c4e\u2c4f\5U+\2\u2c4f\u2c50\5+") buf.write("\26\2\u2c50\u2c51\5\67\34\2\u2c51\u2c52\5!\21\2\u2c52") buf.write("\u2c53\5-\27\2\u2c53\u5853\3\2\2\2\u2c54\u2c55\5U+\2\u2c55") buf.write("\u2c56\5%\23\2\u2c56\u2c57\5/\30\2\u2c57\u2c58\5\65\33") buf.write("\2\u2c58\u2c59\5U+\2\u2c59\u2c5a\5C\"\2\u2c5a\u2c5b\5") buf.write("\61\31\2\u2c5b\u2c5c\5#\22\2\u2c5c\u2c5d\5#\22\2\u2c5d") buf.write("\u2c5e\5=\37\2\u2c5e\u2c5f\5;\36\2\u2c5f\u2c60\5U+\2\u2c60") buf.write("\u2c61\5%\23\2\u2c61\u2c62\5=\37\2\u2c62\u2c63\5I%\2\u2c63") buf.write("\u2c64\5;\36\2\u2c64\u2c65\5G$\2\u2c65\u5853\3\2\2\2\u2c66") buf.write("\u2c67\5U+\2\u2c67\u2c68\5%\23\2\u2c68\u2c69\5/\30\2\u2c69") buf.write("\u2c6a\5\65\33\2\u2c6a\u2c6b\5U+\2\u2c6b\u2c6c\5C\"\2") buf.write("\u2c6c\u2c6d\5\61\31\2\u2c6d\u2c6e\5#\22\2\u2c6e\u2c6f") buf.write("\5#\22\2\u2c6f\u2c70\5=\37\2\u2c70\u2c71\5;\36\2\u2c71") buf.write("\u2c72\5U+\2\u2c72\u2c73\5%\23\2\u2c73\u2c74\5=\37\2\u2c74") buf.write("\u2c75\5I%\2\u2c75\u2c76\5;\36\2\u2c76\u2c77\5G$\2\u2c77") buf.write("\u2c78\5U+\2\u2c78\u2c79\5!\21\2\u2c79\u2c7a\5\67\34\2") buf.write("\u2c7a\u2c7b\5\67\34\2\u2c7b\u5853\3\2\2\2\u2c7c\u2c7d") buf.write("\5U+\2\u2c7d\u2c7e\5%\23\2\u2c7e\u2c7f\5/\30\2\u2c7f\u2c80") buf.write("\5\65\33\2\u2c80\u2c81\5U+\2\u2c81\u2c82\5C\"\2\u2c82") buf.write("\u2c83\5\61\31\2\u2c83\u2c84\5#\22\2\u2c84\u2c85\5#\22") buf.write("\2\u2c85\u2c86\5=\37\2\u2c86\u2c87\5;\36\2\u2c87\u5853") buf.write("\3\2\2\2\u2c88\u2c89\5U+\2\u2c89\u2c8a\5E#\2\u2c8a\u2c8b") buf.write("\5)\25\2\u2c8b\u2c8c\5G$\2\u2c8c\u2c8d\5U+\2\u2c8d\u2c8e") buf.write("\5C\"\2\u2c8e\u2c8f\5\61\31\2\u2c8f\u2c90\5#\22\2\u2c90") buf.write("\u2c91\5#\22\2\u2c91\u2c92\5=\37\2\u2c92\u2c93\5;\36\2") buf.write("\u2c93\u5853\3\2\2\2\u2c94\u2c95\5U+\2\u2c95\u2c96\5C") buf.write("\"\2\u2c96\u2c97\5\61\31\2\u2c97\u2c98\5#\22\2\u2c98\u2c99") buf.write("\5#\22\2\u2c99\u2c9a\5=\37\2\u2c9a\u2c9b\5;\36\2\u2c9b") buf.write("\u2c9c\5U+\2\u2c9c\u2c9d\5;\36\2\u2c9d\u2c9e\5!\21\2\u2c9e") buf.write("\u2c9f\59\35\2\u2c9f\u2ca0\5)\25\2\u2ca0\u5853\3\2\2\2") buf.write("\u2ca1\u2ca2\5U+\2\u2ca2\u2ca3\5%\23\2\u2ca3\u2ca4\5/") buf.write("\30\2\u2ca4\u2ca5\5\65\33\2\u2ca5\u2ca6\5U+\2\u2ca6\u2ca7") buf.write("\5? \2\u2ca7\u2ca8\5C\"\2\u2ca8\u2ca9\59\35\2\u2ca9\u2caa") buf.write("\5)\25\2\u2caa\u2cab\5O(\2\u2cab\u2cac\5? \2\u2cac\u5853") buf.write("\3\2\2\2\u2cad\u2cae\5U+\2\u2cae\u2caf\5%\23\2\u2caf\u2cb0") buf.write("\5/\30\2\u2cb0\u2cb1\5\65\33\2\u2cb1\u2cb2\5U+\2\u2cb2") buf.write("\u2cb3\5M\'\2\u2cb3\u2cb4\5)\25\2\u2cb4\u2cb5\5)\25\2") buf.write("\u2cb5\u2cb6\5\65\33\2\u2cb6\u5853\3\2\2\2\u2cb7\u2cb8") buf.write("\5U+\2\u2cb8\u2cb9\5G$\2\u2cb9\u2cba\5K&\2\u2cba\u2cbb") buf.write("\5U+\2\u2cbb\u2cbc\5)\25\2\u2cbc\u2cbd\5;\36\2\u2cbd\u2cbe") buf.write("\5G$\2\u2cbe\u2cbf\5C\"\2\u2cbf\u2cc0\5Q)\2\u2cc0\u2cc1") buf.write("\5U+\2\u2cc1\u2cc2\5M\'\2\u2cc2\u2cc3\5!\21\2\u2cc3\u2cc4") buf.write("\5G$\2\u2cc4\u2cc5\5%\23\2\u2cc5\u2cc6\5/\30\2\u2cc6\u2cc7") buf.write("\5U+\2\u2cc7\u2cc8\5/\30\2\u2cc8\u2cc9\5\61\31\2\u2cc9") buf.write("\u2cca\5\'\24\2\u2cca\u2ccb\5)\25\2\u2ccb\u2ccc\5U+\2") buf.write("\u2ccc\u2ccd\5\61\31\2\u2ccd\u2cce\5G$\2\u2cce\u2ccf\5") buf.write(")\25\2\u2ccf\u2cd0\59\35\2\u2cd0\u5853\3\2\2\2\u2cd1\u2cd2") buf.write("\5U+\2\u2cd2\u2cd3\5G$\2\u2cd3\u2cd4\5K&\2\u2cd4\u2cd5") buf.write("\5U+\2\u2cd5\u2cd6\5)\25\2\u2cd6\u2cd7\5;\36\2\u2cd7\u2cd8") buf.write("\5G$\2\u2cd8\u2cd9\5C\"\2\u2cd9\u2cda\5Q)\2\u2cda\u2cdb") buf.write("\5U+\2\u2cdb\u2cdc\5M\'\2\u2cdc\u2cdd\5!\21\2\u2cdd\u2cde") buf.write("\5G$\2\u2cde\u2cdf\5%\23\2\u2cdf\u2ce0\5/\30\2\u2ce0\u2ce1") buf.write("\5U+\2\u2ce1\u2ce2\5%\23\2\u2ce2\u2ce3\5/\30\2\u2ce3\u2ce4") buf.write("\5!\21\2\u2ce4\u2ce5\5;\36\2\u2ce5\u2ce6\5-\27\2\u2ce6") buf.write("\u2ce7\5)\25\2\u2ce7\u2ce8\5U+\2\u2ce8\u2ce9\5;\36\2\u2ce9") buf.write("\u2cea\5!\21\2\u2cea\u2ceb\59\35\2\u2ceb\u2cec\5)\25\2") buf.write("\u2cec\u5853\3\2\2\2\u2ced\u2cee\5U+\2\u2cee\u2cef\5C") buf.write("\"\2\u2cef\u2cf0\5)\25\2\u2cf0\u2cf1\5-\27\2\u2cf1\u2cf2") buf.write("\5I%\2\u2cf2\u2cf3\5\67\34\2\u2cf3\u2cf4\5!\21\2\u2cf4") buf.write("\u2cf5\5G$\2\u2cf5\u2cf6\5\61\31\2\u2cf6\u2cf7\5=\37\2") buf.write("\u2cf7\u2cf8\5;\36\2\u2cf8\u2cf9\5U+\2\u2cf9\u2cfa\5\67") buf.write("\34\2\u2cfa\u2cfb\5\61\31\2\u2cfb\u2cfc\5E#\2\u2cfc\u2cfd") buf.write("\5G$\2\u2cfd\u2cfe\5U+\2\u2cfe\u2cff\5%\23\2\u2cff\u2d00") buf.write("\5!\21\2\u2d00\u2d01\5\67\34\2\u2d01\u2d02\5\67\34\2\u2d02") buf.write("\u5853\3\2\2\2\u2d03\u2d04\5U+\2\u2d04\u2d05\5!\21\2\u2d05") buf.write("\u2d06\5E#\2\u2d06\u2d07\5/\30\2\u2d07\u2d08\5\61\31\2") buf.write("\u2d08\u2d09\5!\21\2\u2d09\u2d0a\5G$\2\u2d0a\u2d0b\5=") buf.write("\37\2\u2d0b\u2d0c\5U+\2\u2d0c\u2d0d\5%\23\2\u2d0d\u2d0e") buf.write("\5/\30\2\u2d0e\u2d0f\5\65\33\2\u2d0f\u5853\3\2\2\2\u2d10") buf.write("\u2d11\5U+\2\u2d11\u2d12\5? \2\u2d12\u2d13\5%\23\2\u2d13") buf.write("\u2d14\5U+\2\u2d14\u2d15\5C\"\2\u2d15\u2d16\5)\25\2\u2d16") buf.write("\u2d17\5%\23\2\u2d17\u2d18\5=\37\2\u2d18\u2d19\5K&\2\u2d19") buf.write("\u2d1a\5)\25\2\u2d1a\u2d1b\5C\"\2\u2d1b\u2d1c\5U+\2\u2d1c") buf.write("\u2d1d\5!\21\2\u2d1d\u2d1e\5;\36\2\u2d1e\u2d1f\59\35\2") buf.write("\u2d1f\u5853\3\2\2\2\u2d20\u2d21\5U+\2\u2d21\u2d22\5)") buf.write("\25\2\u2d22\u2d23\5\67\34\2\u2d23\u2d24\5)\25\2\u2d24") buf.write("\u2d25\5K&\2\u2d25\u2d26\5!\21\2\u2d26\u2d27\5G$\2\u2d27") buf.write("\u2d28\5=\37\2\u2d28\u2d29\5C\"\2\u2d29\u2d2a\5U+\2\u2d2a") buf.write("\u2d2b\5!\21\2\u2d2b\u2d2c\5;\36\2\u2d2c\u2d2d\59\35\2") buf.write("\u2d2d\u5853\3\2\2\2\u2d2e\u2d2f\5U+\2\u2d2f\u2d30\5%") buf.write("\23\2\u2d30\u2d31\5!\21\2\u2d31\u2d32\5\67\34\2\u2d32") buf.write("\u2d33\5\67\34\2\u2d33\u2d34\5U+\2\u2d34\u2d35\5E#\2\u2d35") buf.write("\u2d36\5/\30\2\u2d36\u2d37\5\61\31\2\u2d37\u2d38\5? \2") buf.write("\u2d38\u2d39\5U+\2\u2d39\u2d3a\5\'\24\2\u2d3a\u2d3b\5") buf.write(")\25\2\u2d3b\u2d3c\59\35\2\u2d3c\u2d3d\5=\37\2\u2d3d\u5853") buf.write("\3\2\2\2\u2d3e\u2d3f\5U+\2\u2d3f\u2d40\5\'\24\2\u2d40") buf.write("\u2d41\5)\25\2\u2d41\u2d42\5#\22\2\u2d42\u2d43\5I%\2\u2d43") buf.write("\u2d44\5-\27\2\u2d44\u2d45\5U+\2\u2d45\u2d46\5? \2\u2d46") buf.write("\u2d47\5C\"\2\u2d47\u2d48\5\61\31\2\u2d48\u2d49\5;\36") buf.write("\2\u2d49\u2d4a\5G$\2\u2d4a\u2d4b\5U+\2\u2d4b\u2d4c\5M") buf.write("\'\2\u2d4c\u2d4d\5=\37\2\u2d4d\u2d4e\5C\"\2\u2d4e\u2d4f") buf.write("\5\65\33\2\u2d4f\u5853\3\2\2\2\u2d50\u2d51\5U+\2\u2d51") buf.write("\u2d52\5\'\24\2\u2d52\u2d53\5)\25\2\u2d53\u2d54\5#\22") buf.write("\2\u2d54\u2d55\5I%\2\u2d55\u2d56\5-\27\2\u2d56\u2d57\5") buf.write("U+\2\u2d57\u2d58\5? \2\u2d58\u2d59\5C\"\2\u2d59\u2d5a") buf.write("\5\61\31\2\u2d5a\u2d5b\5;\36\2\u2d5b\u2d5c\5G$\2\u2d5c") buf.write("\u2d5d\5U+\2\u2d5d\u2d5e\5+\26\2\u2d5e\u2d5f\5\67\34\2") buf.write("\u2d5f\u2d60\5!\21\2\u2d60\u2d61\5-\27\2\u2d61\u5853\3") buf.write("\2\2\2\u2d62\u2d63\5U+\2\u2d63\u2d64\5\'\24\2\u2d64\u2d65") buf.write("\5)\25\2\u2d65\u2d66\5#\22\2\u2d66\u2d67\5I%\2\u2d67\u2d68") buf.write("\5-\27\2\u2d68\u2d69\5U+\2\u2d69\u2d6a\5? \2\u2d6a\u2d6b") buf.write("\5C\"\2\u2d6b\u2d6c\5\61\31\2\u2d6c\u2d6d\5;\36\2\u2d6d") buf.write("\u2d6e\5G$\2\u2d6e\u2d6f\5U+\2\u2d6f\u2d70\5M\'\2\u2d70") buf.write("\u2d71\5=\37\2\u2d71\u2d72\5C\"\2\u2d72\u2d73\5\65\33") buf.write("\2\u2d73\u2d74\5U+\2\u2d74\u2d75\5E#\2\u2d75\u2d76\5G") buf.write("$\2\u2d76\u2d77\5!\21\2\u2d77\u2d78\5G$\2\u2d78\u2d79") buf.write("\5\61\31\2\u2d79\u2d7a\5=\37\2\u2d7a\u2d7b\5;\36\2\u2d7b") buf.write("\u2d7c\5)\25\2\u2d7c\u2d7d\5\'\24\2\u2d7d\u5853\3\2\2") buf.write("\2\u2d7e\u2d7f\5U+\2\u2d7f\u2d80\5\'\24\2\u2d80\u2d81") buf.write("\5)\25\2\u2d81\u2d82\5#\22\2\u2d82\u2d83\5I%\2\u2d83\u2d84") buf.write("\5-\27\2\u2d84\u2d85\5U+\2\u2d85\u2d86\5? \2\u2d86\u2d87") buf.write("\5C\"\2\u2d87\u2d88\5\61\31\2\u2d88\u2d89\5;\36\2\u2d89") buf.write("\u2d8a\5G$\2\u2d8a\u2d8b\5U+\2\u2d8b\u2d8c\5+\26\2\u2d8c") buf.write("\u2d8d\5\67\34\2\u2d8d\u2d8e\5!\21\2\u2d8e\u2d8f\5-\27") buf.write("\2\u2d8f\u2d90\5U+\2\u2d90\u2d91\5E#\2\u2d91\u2d92\5G") buf.write("$\2\u2d92\u2d93\5!\21\2\u2d93\u2d94\5G$\2\u2d94\u2d95") buf.write("\5\61\31\2\u2d95\u2d96\5=\37\2\u2d96\u2d97\5;\36\2\u2d97") buf.write("\u2d98\5)\25\2\u2d98\u2d99\5\'\24\2\u2d99\u5853\3\2\2") buf.write("\2\u2d9a\u2d9b\5U+\2\u2d9b\u2d9c\5? \2\u2d9c\u2d9d\59") buf.write("\35\2\u2d9d\u2d9e\5U+\2\u2d9e\u2d9f\5K&\2\u2d9f\u2da0") buf.write("\5)\25\2\u2da0\u2da1\5C\"\2\u2da1\u2da2\5E#\2\u2da2\u2da3") buf.write("\5\61\31\2\u2da3\u2da4\5=\37\2\u2da4\u2da5\5;\36\2\u2da5") buf.write("\u2da6\5U+\2\u2da6\u2da7\5-\27\2\u2da7\u2da8\5)\25\2\u2da8") buf.write("\u2da9\5G$\2\u2da9\u5853\3\2\2\2\u2daa\u2dab\5U+\2\u2dab") buf.write("\u2dac\5+\26\2\u2dac\u2dad\5C\"\2\u2dad\u2dae\5=\37\2") buf.write("\u2dae\u2daf\5;\36\2\u2daf\u2db0\5G$\2\u2db0\u2db1\5U") buf.write("+\2\u2db1\u2db2\5? \2\u2db2\u2db3\5=\37\2\u2db3\u2db4") buf.write("\5\65\33\2\u2db4\u2db5\5)\25\2\u2db5\u2db6\59\35\2\u2db6") buf.write("\u2db7\5=\37\2\u2db7\u2db8\5;\36\2\u2db8\u5853\3\2\2\2") buf.write("\u2db9\u2dba\5U+\2\u2dba\u2dbb\5G$\2\u2dbb\u2dbc\5)\25") buf.write("\2\u2dbc\u2dbd\59\35\2\u2dbd\u2dbe\5=\37\2\u2dbe\u2dbf") buf.write("\5G$\2\u2dbf\u2dc0\5\61\31\2\u2dc0\u2dc1\5U+\2\u2dc1\u2dc2") buf.write("\5? \2\u2dc2\u2dc3\5=\37\2\u2dc3\u2dc4\5\65\33\2\u2dc4") buf.write("\u2dc5\5)\25\2\u2dc5\u2dc6\5U+\2\u2dc6\u2dc7\5G$\2\u2dc7") buf.write("\u2dc8\5Q)\2\u2dc8\u2dc9\5? \2\u2dc9\u2dca\5)\25\2\u2dca") buf.write("\u5853\3\2\2\2\u2dcb\u2dcc\5U+\2\u2dcc\u2dcd\5!\21\2\u2dcd") buf.write("\u2dce\5\61\31\2\u2dce\u2dcf\5\65\33\2\u2dcf\u2dd0\5=") buf.write("\37\2\u2dd0\u2dd1\5G$\2\u2dd1\u2dd2\5=\37\2\u2dd2\u2dd3") buf.write("\5#\22\2\u2dd3\u2dd4\5!\21\2\u2dd4\u2dd5\5U+\2\u2dd5\u2dd6") buf.write("\5\65\33\2\u2dd6\u2dd7\5!\21\2\u2dd7\u2dd8\5#\22\2\u2dd8") buf.write("\u2dd9\5)\25\2\u2dd9\u2dda\5-\27\2\u2dda\u2ddb\5!\21\2") buf.write("\u2ddb\u2ddc\59\35\2\u2ddc\u2ddd\5\61\31\2\u2ddd\u2dde") buf.write("\5U+\2\u2dde\u2ddf\5E#\2\u2ddf\u2de0\5)\25\2\u2de0\u2de1") buf.write("\5G$\2\u2de1\u5853\3\2\2\2\u2de2\u2de3\5U+\2\u2de3\u2de4") buf.write("\5-\27\2\u2de4\u2de5\5)\25\2\u2de5\u2de6\5G$\2\u2de6\u2de7") buf.write("\5U+\2\u2de7\u2de8\5I%\2\u2de8\u2de9\5-\27\2\u2de9\u2dea") buf.write("\5U+\2\u2dea\u2deb\5/\30\2\u2deb\u2dec\5!\21\2\u2dec\u2ded") buf.write("\5G$\2\u2ded\u2dee\5!\21\2\u2dee\u2def\5U+\2\u2def\u2df0") buf.write("\5;\36\2\u2df0\u2df1\5I%\2\u2df1\u2df2\59\35\2\u2df2\u5853") buf.write("\3\2\2\2\u2df3\u2df4\5U+\2\u2df4\u2df5\5E#\2\u2df5\u2df6") buf.write("\5)\25\2\u2df6\u2df7\5G$\2\u2df7\u2df8\5I%\2\u2df8\u2df9") buf.write("\5? \2\u2df9\u2dfa\5U+\2\u2dfa\u2dfb\5? \2\u2dfb\u2dfc") buf.write("\5!\21\2\u2dfc\u2dfd\5E#\2\u2dfd\u2dfe\5=\37\2\u2dfe\u2dff") buf.write("\5U+\2\u2dff\u2e00\5!\21\2\u2e00\u2e01\5;\36\2\u2e01\u2e02") buf.write("\59\35\2\u2e02\u5853\3\2\2\2\u2e03\u2e04\5U+\2\u2e04\u2e05") buf.write("\5E#\2\u2e05\u2e06\5G$\2\u2e06\u2e07\5!\21\2\u2e07\u2e08") buf.write("\5C\"\2\u2e08\u2e09\5G$\2\u2e09\u2e0a\5U+\2\u2e0a\u2e0b") buf.write("\5? \2\u2e0b\u2e0c\5!\21\2\u2e0c\u2e0d\5E#\2\u2e0d\u2e0e") buf.write("\5=\37\2\u2e0e\u2e0f\5U+\2\u2e0f\u2e10\5=\37\2\u2e10\u2e11") buf.write("\5;\36\2\u2e11\u2e12\5U+\2\u2e12\u2e13\5!\21\2\u2e13\u2e14") buf.write("\5;\36\2\u2e14\u2e15\59\35\2\u2e15\u5853\3\2\2\2\u2e16") buf.write("\u2e17\5U+\2\u2e17\u2e18\5E#\2\u2e18\u2e19\5G$\2\u2e19") buf.write("\u2e1a\5!\21\2\u2e1a\u2e1b\5C\"\2\u2e1b\u2e1c\5G$\2\u2e1c") buf.write("\u2e1d\5U+\2\u2e1d\u2e1e\5? \2\u2e1e\u2e1f\5!\21\2\u2e1f") buf.write("\u2e20\5E#\2\u2e20\u2e21\5=\37\2\u2e21\u2e22\5U+\2\u2e22") buf.write("\u2e23\5=\37\2\u2e23\u2e24\5+\26\2\u2e24\u2e25\5+\26\2") buf.write("\u2e25\u2e26\5U+\2\u2e26\u2e27\5!\21\2\u2e27\u2e28\5;") buf.write("\36\2\u2e28\u2e29\59\35\2\u2e29\u5853\3\2\2\2\u2e2a\u2e2b") buf.write("\5U+\2\u2e2b\u2e2c\5-\27\2\u2e2c\u2e2d\5)\25\2\u2e2d\u2e2e") buf.write("\5G$\2\u2e2e\u2e2f\5U+\2\u2e2f\u2e30\5\65\33\2\u2e30\u2e31") buf.write("\5I%\2\u2e31\u2e32\5\63\32\2\u2e32\u2e33\5\61\31\2\u2e33") buf.write("\u2e34\5U+\2\u2e34\u2e35\5!\21\2\u2e35\u2e36\5G$\2\u2e36") buf.write("\u2e37\5!\21\2\u2e37\u2e38\5C\"\2\u2e38\u2e39\5\61\31") buf.write("\2\u2e39\u2e3a\5U+\2\u2e3a\u2e3b\5;\36\2\u2e3b\u2e3c\5") buf.write("I%\2\u2e3c\u2e3d\59\35\2\u2e3d\u5853\3\2\2\2\u2e3e\u2e3f") buf.write("\5U+\2\u2e3f\u2e40\5\65\33\2\u2e40\u2e41\5I%\2\u2e41\u2e42") buf.write("\5\63\32\2\u2e42\u2e43\5\61\31\2\u2e43\u2e44\5U+\2\u2e44") buf.write("\u2e45\5!\21\2\u2e45\u2e46\5G$\2\u2e46\u2e47\5!\21\2\u2e47") buf.write("\u2e48\5C\"\2\u2e48\u2e49\5\61\31\2\u2e49\u2e4a\5U+\2") buf.write("\u2e4a\u2e4b\5%\23\2\u2e4b\u2e4c\5/\30\2\u2e4c\u2e4d\5") buf.write("\65\33\2\u2e4d\u5853\3\2\2\2\u2e4e\u2e4f\5U+\2\u2e4f\u2e50") buf.write("\5\65\33\2\u2e50\u2e51\5I%\2\u2e51\u2e52\5\63\32\2\u2e52") buf.write("\u2e53\5\61\31\2\u2e53\u2e54\5U+\2\u2e54\u2e55\5!\21\2") buf.write("\u2e55\u2e56\5G$\2\u2e56\u2e57\5!\21\2\u2e57\u2e58\5C") buf.write("\"\2\u2e58\u2e59\5\61\31\2\u2e59\u2e5a\5U+\2\u2e5a\u2e5b") buf.write("\5\61\31\2\u2e5b\u2e5c\5;\36\2\u2e5c\u2e5d\5\61\31\2\u2e5d") buf.write("\u2e5e\5G$\2\u2e5e\u5853\3\2\2\2\u2e5f\u2e60\5U+\2\u2e60") buf.write("\u2e61\5;\36\2\u2e61\u2e62\5\61\31\2\u2e62\u2e63\5%\23") buf.write("\2\u2e63\u2e64\5\65\33\2\u2e64\u2e65\5U+\2\u2e65\u2e66") buf.write("\5;\36\2\u2e66\u2e67\5!\21\2\u2e67\u2e68\59\35\2\u2e68") buf.write("\u2e69\5)\25\2\u2e69\u2e6a\5U+\2\u2e6a\u2e6b\5? \2\u2e6b") buf.write("\u2e6c\5%\23\2\u2e6c\u5853\3\2\2\2\u2e6d\u2e6e\5U+\2\u2e6e") buf.write("\u2e6f\5G$\2\u2e6f\u2e70\5K&\2\u2e70\u2e71\5U+\2\u2e71") buf.write("\u2e72\5\61\31\2\u2e72\u2e73\5;\36\2\u2e73\u2e74\5G$\2") buf.write("\u2e74\u2e75\5)\25\2\u2e75\u2e76\5C\"\2\u2e76\u2e77\5") buf.write("K&\2\u2e77\u2e78\5\61\31\2\u2e78\u2e79\5)\25\2\u2e79\u2e7a") buf.write("\5M\'\2\u2e7a\u2e7b\5)\25\2\u2e7b\u2e7c\5C\"\2\u2e7c\u2e7d") buf.write("\5U+\2\u2e7d\u2e7e\5%\23\2\u2e7e\u2e7f\5/\30\2\u2e7f\u2e80") buf.write("\5)\25\2\u2e80\u2e81\5%\23\2\u2e81\u2e82\5\65\33\2\u2e82") buf.write("\u5853\3\2\2\2\u2e83\u2e84\5U+\2\u2e84\u2e85\5%\23\2\u2e85") buf.write("\u2e86\5=\37\2\u2e86\u2e87\5I%\2\u2e87\u2e88\5;\36\2\u2e88") buf.write("\u2e89\5G$\2\u2e89\u2e8a\5U+\2\u2e8a\u2e8b\59\35\2\u2e8b") buf.write("\u2e8c\5=\37\2\u2e8c\u2e8d\5;\36\2\u2e8d\u2e8e\5E#\2\u2e8e") buf.write("\u2e8f\5#\22\2\u2e8f\u2e90\5=\37\2\u2e90\u2e91\5O(\2\u2e91") buf.write("\u2e92\5U+\2\u2e92\u2e93\5E#\2\u2e93\u2e94\5? \2\u2e94") buf.write("\u2e95\5!\21\2\u2e95\u2e96\5%\23\2\u2e96\u2e97\5)\25\2") buf.write("\u2e97\u5853\3\2\2\2\u2e98\u2e99\5U+\2\u2e99\u2e9a\5?") buf.write(" \2\u2e9a\u2e9b\5=\37\2\u2e9b\u2e9c\5\65\33\2\u2e9c\u2e9d") buf.write("\5)\25\2\u2e9d\u2e9e\5? \2\u2e9e\u2e9f\5!\21\2\u2e9f\u2ea0") buf.write("\5C\"\2\u2ea0\u2ea1\5\65\33\2\u2ea1\u2ea2\5U+\2\u2ea2") buf.write("\u2ea3\5%\23\2\u2ea3\u2ea4\5=\37\2\u2ea4\u2ea5\5;\36\2") buf.write("\u2ea5\u2ea6\5G$\2\u2ea6\u2ea7\5C\"\2\u2ea7\u2ea8\5=\37") buf.write("\2\u2ea8\u2ea9\5\67\34\2\u2ea9\u5853\3\2\2\2\u2eaa\u2eab") buf.write("\5U+\2\u2eab\u2eac\5? \2\u2eac\u2ead\5=\37\2\u2ead\u2eae") buf.write("\5\65\33\2\u2eae\u2eaf\5)\25\2\u2eaf\u2eb0\5? \2\u2eb0") buf.write("\u2eb1\5!\21\2\u2eb1\u2eb2\5C\"\2\u2eb2\u2eb3\5\65\33") buf.write("\2\u2eb3\u2eb4\5U+\2\u2eb4\u2eb5\5\'\24\2\u2eb5\u2eb6") buf.write("\5)\25\2\u2eb6\u2eb7\5? \2\u2eb7\u2eb8\5=\37\2\u2eb8\u2eb9") buf.write("\5E#\2\u2eb9\u2eba\5\61\31\2\u2eba\u2ebb\5G$\2\u2ebb\u2ebc") buf.write("\5U+\2\u2ebc\u2ebd\5%\23\2\u2ebd\u2ebe\5=\37\2\u2ebe\u2ebf") buf.write("\5I%\2\u2ebf\u2ec0\5;\36\2\u2ec0\u2ec1\5G$\2\u2ec1\u5853") buf.write("\3\2\2\2\u2ec2\u2ec3\5U+\2\u2ec3\u2ec4\5? \2\u2ec4\u2ec5") buf.write("\5=\37\2\u2ec5\u2ec6\5\65\33\2\u2ec6\u2ec7\5)\25\2\u2ec7") buf.write("\u2ec8\5? \2\u2ec8\u2ec9\5!\21\2\u2ec9\u2eca\5C\"\2\u2eca") buf.write("\u2ecb\5\65\33\2\u2ecb\u2ecc\5U+\2\u2ecc\u2ecd\5G$\2\u2ecd") buf.write("\u2ece\5C\"\2\u2ece\u2ecf\5!\21\2\u2ecf\u2ed0\5;\36\2") buf.write("\u2ed0\u2ed1\5E#\2\u2ed1\u2ed2\5U+\2\u2ed2\u2ed3\59\35") buf.write("\2\u2ed3\u2ed4\5=\37\2\u2ed4\u2ed5\5;\36\2\u2ed5\u2ed6") buf.write("\5E#\2\u2ed6\u5853\3\2\2\2\u2ed7\u2ed8\5U+\2\u2ed8\u2ed9") buf.write("\5? \2\u2ed9\u2eda\5=\37\2\u2eda\u2edb\5\65\33\2\u2edb") buf.write("\u2edc\5)\25\2\u2edc\u2edd\5? \2\u2edd\u2ede\5!\21\2\u2ede") buf.write("\u2edf\5C\"\2\u2edf\u2ee0\5\65\33\2\u2ee0\u2ee1\5U+\2") buf.write("\u2ee1\u2ee2\5-\27\2\u2ee2\u2ee3\5)\25\2\u2ee3\u2ee4\5") buf.write("G$\2\u2ee4\u2ee5\5U+\2\u2ee5\u2ee6\5E#\2\u2ee6\u2ee7\5") buf.write("%\23\2\u2ee7\u2ee8\5=\37\2\u2ee8\u2ee9\5C\"\2\u2ee9\u2eea") buf.write("\5)\25\2\u2eea\u5853\3\2\2\2\u2eeb\u2eec\5U+\2\u2eec\u2eed") buf.write("\5\'\24\2\u2eed\u2eee\5)\25\2\u2eee\u2eef\5;\36\2\u2eef") buf.write("\u2ef0\5\'\24\2\u2ef0\u2ef1\5=\37\2\u2ef1\u2ef2\5I%\2") buf.write("\u2ef2\u2ef3\5U+\2\u2ef3\u2ef4\5#\22\2\u2ef4\u2ef5\5!") buf.write("\21\2\u2ef5\u2ef6\5\67\34\2\u2ef6\u2ef7\5\67\34\2\u2ef7") buf.write("\u2ef8\5U+\2\u2ef8\u2ef9\5!\21\2\u2ef9\u2efa\5;\36\2\u2efa") buf.write("\u2efb\59\35\2\u2efb\u5853\3\2\2\2\u2efc\u2efd\5U+\2\u2efd") buf.write("\u2efe\5\61\31\2\u2efe\u2eff\5;\36\2\u2eff\u2f00\5\61") buf.write("\31\2\u2f00\u2f01\5G$\2\u2f01\u2f02\5U+\2\u2f02\u2f03") buf.write("\5+\26\2\u2f03\u2f04\5\67\34\2\u2f04\u2f05\5\'\24\2\u2f05") buf.write("\u2f06\5U+\2\u2f06\u2f07\5\67\34\2\u2f07\u2f08\5\61\31") buf.write("\2\u2f08\u2f09\5+\26\2\u2f09\u2f0a\5G$\2\u2f0a\u5853\3") buf.write("\2\2\2\u2f0b\u2f0c\5U+\2\u2f0c\u2f0d\59\35\2\u2f0d\u2f0e") buf.write("\5=\37\2\u2f0e\u2f0f\5K&\2\u2f0f\u2f10\5)\25\2\u2f10\u2f11") buf.write("\5U+\2\u2f11\u2f12\5+\26\2\u2f12\u2f13\5\67\34\2\u2f13") buf.write("\u2f14\5\'\24\2\u2f14\u2f15\5U+\2\u2f15\u2f16\5\67\34") buf.write("\2\u2f16\u2f17\5\61\31\2\u2f17\u2f18\5+\26\2\u2f18\u2f19") buf.write("\5G$\2\u2f19\u5853\3\2\2\2\u2f1a\u2f1b\5U+\2\u2f1b\u2f1c") buf.write("\5%\23\2\u2f1c\u2f1d\5/\30\2\u2f1d\u2f1e\5)\25\2\u2f1e") buf.write("\u2f1f\5%\23\2\u2f1f\u2f20\5\65\33\2\u2f20\u2f21\5U+\2") buf.write("\u2f21\u2f22\5+\26\2\u2f22\u2f23\5\67\34\2\u2f23\u2f24") buf.write("\5\'\24\2\u2f24\u2f25\5U+\2\u2f25\u2f26\5\67\34\2\u2f26") buf.write("\u2f27\5\61\31\2\u2f27\u2f28\5+\26\2\u2f28\u2f29\5G$\2") buf.write("\u2f29\u5853\3\2\2\2\u2f2a\u2f2b\5U+\2\u2f2b\u2f2c\5E") buf.write("#\2\u2f2c\u2f2d\5)\25\2\u2f2d\u2f2e\5G$\2\u2f2e\u2f2f") buf.write("\5I%\2\u2f2f\u2f30\5? \2\u2f30\u2f31\5U+\2\u2f31\u2f32") buf.write("\5C\"\2\u2f32\u2f33\5!\21\2\u2f33\u2f34\5/\30\2\u2f34") buf.write("\u2f35\5U+\2\u2f35\u2f36\5%\23\2\u2f36\u2f37\5Q)\2\u2f37") buf.write("\u2f38\5\67\34\2\u2f38\u5853\3\2\2\2\u2f39\u2f3a\5U+\2") buf.write("\u2f3a\u2f3b\5E#\2\u2f3b\u2f3c\5G$\2\u2f3c\u2f3d\5!\21") buf.write("\2\u2f3d\u2f3e\5C\"\2\u2f3e\u2f3f\5G$\2\u2f3f\u2f40\5") buf.write("U+\2\u2f40\u2f41\5C\"\2\u2f41\u2f42\5!\21\2\u2f42\u2f43") buf.write("\5/\30\2\u2f43\u2f44\5U+\2\u2f44\u2f45\5%\23\2\u2f45\u2f46") buf.write("\5Q)\2\u2f46\u2f47\5\67\34\2\u2f47\u5853\3\2\2\2\u2f48") buf.write("\u2f49\5U+\2\u2f49\u2f4a\5!\21\2\u2f4a\u2f4b\5\'\24\2") buf.write("\u2f4b\u2f4c\5\'\24\2\u2f4c\u2f4d\5U+\2\u2f4d\u2f4e\5") buf.write("E#\2\u2f4e\u2f4f\5%\23\2\u2f4f\u2f50\5=\37\2\u2f50\u2f51") buf.write("\5C\"\2\u2f51\u2f52\5)\25\2\u2f52\u5853\3\2\2\2\u2f53") buf.write("\u2f54\5U+\2\u2f54\u2f55\5!\21\2\u2f55\u2f56\5%\23\2\u2f56") buf.write("\u2f57\5%\23\2\u2f57\u2f58\5)\25\2\u2f58\u2f59\5U+\2\u2f59") buf.write("\u2f5a\5;\36\2\u2f5a\u2f5b\5!\21\2\u2f5b\u2f5c\59\35\2") buf.write("\u2f5c\u2f5d\5)\25\2\u2f5d\u5853\3\2\2\2\u2f5e\u2f5f\5") buf.write("U+\2\u2f5f\u2f60\5? \2\u2f60\u2f61\5!\21\2\u2f61\u2f62") buf.write("\5C\"\2\u2f62\u2f63\5G$\2\u2f63\u2f64\5Q)\2\u2f64\u2f65") buf.write("\5U+\2\u2f65\u2f66\59\35\2\u2f66\u2f67\5=\37\2\u2f67\u2f68") buf.write("\5;\36\2\u2f68\u2f69\5E#\2\u2f69\u2f6a\5;\36\2\u2f6a\u2f6b") buf.write("\5=\37\2\u2f6b\u2f6c\5U+\2\u2f6c\u2f6d\5%\23\2\u2f6d\u2f6e") buf.write("\5/\30\2\u2f6e\u2f6f\5)\25\2\u2f6f\u2f70\5%\23\2\u2f70") buf.write("\u2f71\5\65\33\2\u2f71\u5853\3\2\2\2\u2f72\u2f73\5U+\2") buf.write("\u2f73\u2f74\5? \2\u2f74\u2f75\5!\21\2\u2f75\u2f76\5C") buf.write("\"\2\u2f76\u2f77\5G$\2\u2f77\u2f78\5Q)\2\u2f78\u2f79\5") buf.write("U+\2\u2f79\u2f7a\5\'\24\2\u2f7a\u2f7b\5)\25\2\u2f7b\u2f7c") buf.write("\5=\37\2\u2f7c\u2f7d\5\65\33\2\u2f7d\u2f7e\5\61\31\2\u2f7e") buf.write("\u2f7f\5E#\2\u2f7f\u2f80\5\61\31\2\u2f80\u2f81\5E#\2\u2f81") buf.write("\u2f82\5I%\2\u2f82\u2f83\5+\26\2\u2f83\u2f84\5=\37\2\u2f84") buf.write("\u2f85\5C\"\2\u2f85\u2f86\59\35\2\u2f86\u2f87\5U+\2\u2f87") buf.write("\u2f88\5%\23\2\u2f88\u2f89\5/\30\2\u2f89\u2f8a\5!\21\2") buf.write("\u2f8a\u2f8b\5;\36\2\u2f8b\u2f8c\5-\27\2\u2f8c\u2f8d\5") buf.write(")\25\2\u2f8d\u5853\3\2\2\2\u2f8e\u2f8f\5U+\2\u2f8f\u2f90") buf.write("\5%\23\2\u2f90\u2f91\5/\30\2\u2f91\u2f92\5)\25\2\u2f92") buf.write("\u2f93\5%\23\2\u2f93\u2f94\5\65\33\2\u2f94\u2f95\59\35") buf.write("\2\u2f95\u2f96\5\61\31\2\u2f96\u2f97\5;\36\2\u2f97\u2f98") buf.write("\5=\37\2\u2f98\u2f99\59\35\2\u2f99\u2f9a\5I%\2\u2f9a\u2f9b") buf.write("\5%\23\2\u2f9b\u2f9c\5/\30\2\u2f9c\u2f9d\5\61\31\2\u2f9d") buf.write("\u2f9e\5%\23\2\u2f9e\u2f9f\5=\37\2\u2f9f\u2fa0\59\35\2") buf.write("\u2fa0\u2fa1\5? \2\u2fa1\u5853\3\2\2\2\u2fa2\u2fa3\5U") buf.write("+\2\u2fa3\u2fa4\5? \2\u2fa4\u2fa5\5=\37\2\u2fa5\u2fa6") buf.write("\5\65\33\2\u2fa6\u2fa7\5)\25\2\u2fa7\u2fa8\5G$\2\u2fa8") buf.write("\u2fa9\5%\23\2\u2fa9\u2faa\5/\30\2\u2faa\u2fab\5U+\2\u2fab") buf.write("\u2fac\5/\30\2\u2fac\u2fad\5=\37\2\u2fad\u2fae\5=\37\2") buf.write("\u2fae\u2faf\5\65\33\2\u2faf\u2fb0\5U+\2\u2fb0\u2fb1\5") buf.write("E#\2\u2fb1\u2fb2\5)\25\2\u2fb2\u2fb3\5G$\2\u2fb3\u5853") buf.write("\3\2\2\2\u2fb4\u2fb5\5U+\2\u2fb5\u2fb6\5? \2\u2fb6\u2fb7") buf.write("\5=\37\2\u2fb7\u2fb8\5\65\33\2\u2fb8\u2fb9\5)\25\2\u2fb9") buf.write("\u2fba\5G$\2\u2fba\u2fbb\5%\23\2\u2fbb\u2fbc\5/\30\2\u2fbc") buf.write("\u2fbd\5U+\2\u2fbd\u2fbe\5/\30\2\u2fbe\u2fbf\5=\37\2\u2fbf") buf.write("\u2fc0\5=\37\2\u2fc0\u2fc1\5\65\33\2\u2fc1\u2fc2\5U+\2") buf.write("\u2fc2\u2fc3\5C\"\2\u2fc3\u2fc4\5)\25\2\u2fc4\u2fc5\5") buf.write("E#\2\u2fc5\u2fc6\5)\25\2\u2fc6\u2fc7\5G$\2\u2fc7\u5853") buf.write("\3\2\2\2\u2fc8\u2fc9\5U+\2\u2fc9\u2fca\5E#\2\u2fca\u2fcb") buf.write("\5\67\34\2\u2fcb\u2fcc\5=\37\2\u2fcc\u2fcd\5G$\2\u2fcd") buf.write("\u2fce\5U+\2\u2fce\u2fcf\59\35\2\u2fcf\u2fd0\5!\21\2\u2fd0") buf.write("\u2fd1\5%\23\2\u2fd1\u2fd2\5/\30\2\u2fd2\u2fd3\5\61\31") buf.write("\2\u2fd3\u2fd4\5;\36\2\u2fd4\u2fd5\5)\25\2\u2fd5\u5853") buf.write("\3\2\2\2\u2fd6\u2fd7\5U+\2\u2fd7\u2fd8\5-\27\2\u2fd8\u2fd9") buf.write("\5)\25\2\u2fd9\u2fda\5G$\2\u2fda\u2fdb\5U+\2\u2fdb\u2fdc") buf.write("\5;\36\2\u2fdc\u2fdd\5=\37\2\u2fdd\u2fde\5M\'\2\u2fde") buf.write("\u2fdf\5U+\2\u2fdf\u2fe0\5/\30\2\u2fe0\u2fe1\5=\37\2\u2fe1") buf.write("\u2fe2\5I%\2\u2fe2\u2fe3\5C\"\2\u2fe3\u5853\3\2\2\2\u2fe4") buf.write("\u2fe5\5U+\2\u2fe5\u2fe6\5+\26\2\u2fe6\u2fe7\5\67\34\2") buf.write("\u2fe7\u2fe8\5\'\24\2\u2fe8\u2fe9\5=\37\2\u2fe9\u2fea") buf.write("\5#\22\2\u2fea\u2feb\5\63\32\2\u2feb\u2fec\5U+\2\u2fec") buf.write("\u2fed\5E#\2\u2fed\u2fee\5/\30\2\u2fee\u2fef\5!\21\2\u2fef") buf.write("\u2ff0\5\65\33\2\u2ff0\u2ff1\5)\25\2\u2ff1\u2ff2\5U+\2") buf.write("\u2ff2\u2ff3\5!\21\2\u2ff3\u2ff4\5;\36\2\u2ff4\u2ff5\5") buf.write("9\35\2\u2ff5\u5853\3\2\2\2\u2ff6\u2ff7\5U+\2\u2ff7\u2ff8") buf.write("\5+\26\2\u2ff8\u2ff9\5\67\34\2\u2ff9\u2ffa\5\'\24\2\u2ffa") buf.write("\u2ffb\5=\37\2\u2ffb\u2ffc\5#\22\2\u2ffc\u2ffd\5\63\32") buf.write("\2\u2ffd\u2ffe\5U+\2\u2ffe\u2fff\5#\22\2\u2fff\u3000\5") buf.write("\67\34\2\u3000\u3001\5\61\31\2\u3001\u3002\5;\36\2\u3002") buf.write("\u3003\5\65\33\2\u3003\u3004\5U+\2\u3004\u3005\5!\21\2") buf.write("\u3005\u3006\5;\36\2\u3006\u3007\59\35\2\u3007\u5853\3") buf.write("\2\2\2\u3008\u3009\5U+\2\u3009\u300a\5\'\24\2\u300a\u300b") buf.write("\5[.\2\u300b\u300c\5W,\2\u300c\u300d\5C\"\2\u300d\u300e") buf.write("\5W,\2\u300e\u300f\5Y-\2\u300f\u3010\5W,\2\u3010\u3011") buf.write("\5c\62\2\u3011\u3012\5U+\2\u3012\u3013\5\67\34\2\u3013") buf.write("\u3014\5)\25\2\u3014\u3015\5-\27\2\u3015\u3016\5)\25\2") buf.write("\u3016\u3017\5;\36\2\u3017\u3018\5\'\24\2\u3018\u3019") buf.write("\5U+\2\u3019\u301a\5\61\31\2\u301a\u301b\5E#\2\u301b\u301c") buf.write("\5U+\2\u301c\u301d\5I%\2\u301d\u301e\5;\36\2\u301e\u301f") buf.write("\5E#\2\u301f\u3020\5)\25\2\u3020\u3021\5!\21\2\u3021\u3022") buf.write("\5\67\34\2\u3022\u5853\3\2\2\2\u3023\u3024\5U+\2\u3024") buf.write("\u3025\5\'\24\2\u3025\u3026\5C\"\2\u3026\u3027\5)\25\2") buf.write("\u3027\u3028\5E#\2\u3028\u3029\5E#\2\u3029\u302a\5\61") buf.write("\31\2\u302a\u302b\5;\36\2\u302b\u302c\5-\27\2\u302c\u302d") buf.write("\5U+\2\u302d\u302e\5\61\31\2\u302e\u302f\59\35\2\u302f") buf.write("\u3030\5%\23\2\u3030\u3031\5U+\2\u3031\u3032\5!\21\2\u3032") buf.write("\u3033\5%\23\2\u3033\u3034\5%\23\2\u3034\u3035\5)\25\2") buf.write("\u3035\u3036\5U+\2\u3036\u3037\5%\23\2\u3037\u3038\5/") buf.write("\30\2\u3038\u3039\5)\25\2\u3039\u303a\5%\23\2\u303a\u303b") buf.write("\5\65\33\2\u303b\u5853\3\2\2\2\u303c\u303d\5U+\2\u303d") buf.write("\u303e\5!\21\2\u303e\u303f\5-\27\2\u303f\u3040\5#\22\2") buf.write("\u3040\u3041\5U+\2\u3041\u3042\5%\23\2\u3042\u3043\5!") buf.write("\21\2\u3043\u3044\5C\"\2\u3044\u3045\5G$\2\u3045\u3046") buf.write("\5C\"\2\u3046\u3047\5\61\31\2\u3047\u3048\5\'\24\2\u3048") buf.write("\u3049\5-\27\2\u3049\u304a\5)\25\2\u304a\u304b\5U+\2\u304b") buf.write("\u304c\5K&\2\u304c\u304d\5)\25\2\u304d\u304e\5C\"\2\u304e") buf.write("\u304f\5U+\2\u304f\u3050\5-\27\2\u3050\u3051\5)\25\2\u3051") buf.write("\u3052\5G$\2\u3052\u5853\3\2\2\2\u3053\u3054\5U+\2\u3054") buf.write("\u3055\5I%\2\u3055\u3056\5;\36\2\u3056\u3057\5\'\24\2") buf.write("\u3057\u3058\5)\25\2\u3058\u3059\5C\"\2\u3059\u305a\5") buf.write("-\27\2\u305a\u305b\5C\"\2\u305b\u305c\5=\37\2\u305c\u305d") buf.write("\5I%\2\u305d\u305e\5;\36\2\u305e\u305f\5\'\24\2\u305f") buf.write("\u3060\5U+\2\u3060\u3061\5G$\2\u3061\u3062\5!\21\2\u3062") buf.write("\u3063\5\67\34\2\u3063\u3064\5\65\33\2\u3064\u3065\5U") buf.write("+\2\u3065\u3066\5%\23\2\u3066\u3067\5=\37\2\u3067\u3068") buf.write("\5I%\2\u3068\u3069\5;\36\2\u3069\u306a\5G$\2\u306a\u306b") buf.write("\5U+\2\u306b\u306c\5%\23\2\u306c\u306d\5\67\34\2\u306d") buf.write("\u306e\5)\25\2\u306e\u306f\5!\21\2\u306f\u3070\5C\"\2") buf.write("\u3070\u5853\3\2\2\2\u3071\u3072\5U+\2\u3072\u3073\5/") buf.write("\30\2\u3073\u3074\5\61\31\2\u3074\u3075\5\'\24\2\u3075") buf.write("\u3076\5)\25\2\u3076\u3077\59\35\2\u3077\u3078\5!\21\2") buf.write("\u3078\u3079\5? \2\u3079\u307a\5U+\2\u307a\u307b\5E#\2") buf.write("\u307b\u307c\5G$\2\u307c\u307d\5!\21\2\u307d\u307e\5G") buf.write("$\2\u307e\u307f\5)\25\2\u307f\u3080\5U+\2\u3080\u3081") buf.write("\5%\23\2\u3081\u3082\5/\30\2\u3082\u3083\5-\27\2\u3083") buf.write("\u5853\3\2\2\2\u3084\u3085\5U+\2\u3085\u3086\5;\36\2\u3086") buf.write("\u3087\5!\21\2\u3087\u3088\59\35\2\u3088\u3089\5)\25\2") buf.write("\u3089\u308a\5\61\31\2\u308a\u308b\5;\36\2\u308b\u308c") buf.write("\5U+\2\u308c\u308d\59\35\2\u308d\u308e\5=\37\2\u308e\u308f") buf.write("\5;\36\2\u308f\u3090\5I%\2\u3090\u3091\59\35\2\u3091\u3092") buf.write("\5)\25\2\u3092\u3093\5;\36\2\u3093\u3094\5G$\2\u3094\u5853") buf.write("\3\2\2\2\u3095\u3096\5U+\2\u3096\u3097\59\35\2\u3097\u3098") buf.write("\5=\37\2\u3098\u3099\5;\36\2\u3099\u309a\5I%\2\u309a\u309b") buf.write("\59\35\2\u309b\u309c\5)\25\2\u309c\u309d\5;\36\2\u309d") buf.write("\u309e\5G$\2\u309e\u309f\5U+\2\u309f\u30a0\5;\36\2\u30a0") buf.write("\u30a1\5!\21\2\u30a1\u30a2\59\35\2\u30a2\u30a3\5)\25\2") buf.write("\u30a3\u5853\3\2\2\2\u30a4\u30a5\5U+\2\u30a5\u30a6\5\61") buf.write("\31\2\u30a6\u30a7\59\35\2\u30a7\u30a8\5%\23\2\u30a8\u30a9") buf.write("\5U+\2\u30a9\u30aa\5#\22\2\u30aa\u30ab\5-\27\2\u30ab\u30ac") buf.write("\5U+\2\u30ac\u30ad\5;\36\2\u30ad\u30ae\5!\21\2\u30ae\u30af") buf.write("\59\35\2\u30af\u30b0\5)\25\2\u30b0\u5853\3\2\2\2\u30b1") buf.write("\u30b2\5U+\2\u30b2\u30b3\5%\23\2\u30b3\u30b4\5=\37\2\u30b4") buf.write("\u30b5\59\35\2\u30b5\u30b6\5? \2\u30b6\u30b7\5U+\2\u30b7") buf.write("\u30b8\5%\23\2\u30b8\u30b9\5=\37\2\u30b9\u30ba\5\61\31") buf.write("\2\u30ba\u30bb\5;\36\2\u30bb\u5853\3\2\2\2\u30bc\u30bd") buf.write("\5U+\2\u30bd\u30be\5E#\2\u30be\u30bf\5\67\34\2\u30bf\u30c0") buf.write("\5=\37\2\u30c0\u30c1\5G$\2\u30c1\u30c2\5U+\2\u30c2\u30c3") buf.write("\5C\"\2\u30c3\u30c4\5)\25\2\u30c4\u30c5\5;\36\2\u30c5") buf.write("\u30c6\5G$\2\u30c6\u30c7\5Q)\2\u30c7\u30c8\5!\21\2\u30c8") buf.write("\u30c9\5;\36\2\u30c9\u30ca\5U+\2\u30ca\u30cb\5%\23\2\u30cb") buf.write("\u30cc\5/\30\2\u30cc\u30cd\5\65\33\2\u30cd\u5853\3\2\2") buf.write("\2\u30ce\u30cf\5U+\2\u30cf\u30d0\5!\21\2\u30d0\u30d1\5") buf.write("\'\24\2\u30d1\u30d2\5\'\24\2\u30d2\u30d3\5U+\2\u30d3\u30d4") buf.write("\5%\23\2\u30d4\u30d5\5=\37\2\u30d5\u30d6\5\61\31\2\u30d6") buf.write("\u30d7\5;\36\2\u30d7\u30d8\5U+\2\u30d8\u30d9\5%\23\2\u30d9") buf.write("\u30da\5/\30\2\u30da\u30db\5\65\33\2\u30db\u5853\3\2\2") buf.write("\2\u30dc\u30dd\5U+\2\u30dd\u30de\5\67\34\2\u30de\u30df") buf.write("\5)\25\2\u30df\u30e0\5K&\2\u30e0\u30e1\5)\25\2\u30e1\u30e2") buf.write("\5\67\34\2\u30e2\u30e3\5U+\2\u30e3\u30e4\5\63\32\2\u30e4") buf.write("\u30e5\5\61\31\2\u30e5\u30e6\5\63\32\2\u30e6\u30e7\5\61") buf.write("\31\2\u30e7\u30e8\5\61\31\2\u30e8\u30e9\5U+\2\u30e9\u30ea") buf.write("\5;\36\2\u30ea\u30eb\5=\37\2\u30eb\u5853\3\2\2\2\u30ec") buf.write("\u30ed\5U+\2\u30ed\u30ee\5? \2\u30ee\u30ef\5=\37\2\u30ef") buf.write("\u30f0\5\65\33\2\u30f0\u30f1\5)\25\2\u30f1\u30f2\5U+\2") buf.write("\u30f2\u30f3\5\67\34\2\u30f3\u30f4\5)\25\2\u30f4\u30f5") buf.write("\5K&\2\u30f5\u30f6\5)\25\2\u30f6\u30f7\5\67\34\2\u30f7") buf.write("\u30f8\5U+\2\u30f8\u30f9\5-\27\2\u30f9\u30fa\5)\25\2\u30fa") buf.write("\u30fb\5G$\2\u30fb\u5853\3\2\2\2\u30fc\u30fd\5U+\2\u30fd") buf.write("\u30fe\5\61\31\2\u30fe\u30ff\59\35\2\u30ff\u3100\5%\23") buf.write("\2\u3100\u3101\5U+\2\u3101\u3102\5!\21\2\u3102\u3103\5") buf.write("%\23\2\u3103\u3104\5%\23\2\u3104\u3105\5)\25\2\u3105\u3106") buf.write("\5U+\2\u3106\u3107\5E#\2\u3107\u3108\5I%\2\u3108\u3109") buf.write("\5#\22\2\u3109\u310a\5U+\2\u310a\u310b\5\61\31\2\u310b") buf.write("\u310c\5G$\2\u310c\u310d\5)\25\2\u310d\u310e\59\35\2\u310e") buf.write("\u5853\3\2\2\2\u310f\u3110\5U+\2\u3110\u3111\5%\23\2\u3111") buf.write("\u3112\5W,\2\u3112\u3113\5g\64\2\u3113\u3114\5C\"\2\u3114") buf.write("\u3115\5W,\2\u3115\u3116\5g\64\2\u3116\u3117\5W,\2\u3117") buf.write("\u3118\5Y-\2\u3118\u3119\5E#\2\u3119\u311a\5%\23\2\u311a") buf.write("\u311b\5=\37\2\u311b\u311c\5? \2\u311c\u311d\5)\25\2\u311d") buf.write("\u311e\5%\23\2\u311e\u311f\5!\21\2\u311f\u3120\59\35\2") buf.write("\u3120\u3121\5)\25\2\u3121\u3122\5C\"\2\u3122\u3123\5") buf.write("!\21\2\u3123\u3124\5E#\2\u3124\u3125\5)\25\2\u3125\u3126") buf.write("\5G$\2\u3126\u5853\3\2\2\2\u3127\u3128\5U+\2\u3128\u3129") buf.write("\5\67\34\2\u3129\u312a\5)\25\2\u312a\u312b\5K&\2\u312b") buf.write("\u312c\5)\25\2\u312c\u312d\5\67\34\2\u312d\u312e\5U+\2") buf.write("\u312e\u312f\5\63\32\2\u312f\u3130\5\61\31\2\u3130\u3131") buf.write("\5\63\32\2\u3131\u3132\5\61\31\2\u3132\u3133\5\61\31\2") buf.write("\u3133\u3134\5U+\2\u3134\u3135\5\61\31\2\u3135\u3136\5") buf.write(";\36\2\u3136\u3137\5\61\31\2\u3137\u3138\5G$\2\u3138\u5853") buf.write("\3\2\2\2\u3139\u313a\5U+\2\u313a\u313b\5;\36\2\u313b\u313c") buf.write("\5)\25\2\u313c\u313d\5M\'\2\u313d\u313e\5U+\2\u313e\u313f") buf.write("\5;\36\2\u313f\u3140\5!\21\2\u3140\u3141\5;\36\2\u3141") buf.write("\u3142\5\65\33\2\u3142\u3143\5!\21\2\u3143\u3144\5\61") buf.write("\31\2\u3144\u3145\5U+\2\u3145\u3146\5M\'\2\u3146\u3147") buf.write("\5=\37\2\u3147\u3148\5C\"\2\u3148\u3149\5\'\24\2\u3149") buf.write("\u314a\5U+\2\u314a\u314b\5E#\2\u314b\u314c\5)\25\2\u314c") buf.write("\u314d\5G$\2\u314d\u5853\3\2\2\2\u314e\u314f\5U+\2\u314f") buf.write("\u3150\5C\"\2\u3150\u3151\5)\25\2\u3151\u3152\5-\27\2") buf.write("\u3152\u3153\5I%\2\u3153\u3154\5\67\34\2\u3154\u3155\5") buf.write("!\21\2\u3155\u3156\5C\"\2\u3156\u3157\5U+\2\u3157\u3158") buf.write("\5%\23\2\u3158\u3159\5/\30\2\u3159\u315a\5)\25\2\u315a") buf.write("\u315b\5%\23\2\u315b\u315c\5\65\33\2\u315c\u5853\3\2\2") buf.write("\2\u315d\u315e\5U+\2\u315e\u315f\5;\36\2\u315f\u3160\5") buf.write(")\25\2\u3160\u3161\5M\'\2\u3161\u3162\5U+\2\u3162\u3163") buf.write("\5;\36\2\u3163\u3164\5!\21\2\u3164\u3165\5;\36\2\u3165") buf.write("\u3166\5\65\33\2\u3166\u3167\5!\21\2\u3167\u3168\5\61") buf.write("\31\2\u3168\u3169\5U+\2\u3169\u316a\5M\'\2\u316a\u316b") buf.write("\5=\37\2\u316b\u316c\5C\"\2\u316c\u316d\5\'\24\2\u316d") buf.write("\u316e\5U+\2\u316e\u316f\5%\23\2\u316f\u3170\5=\37\2\u3170") buf.write("\u3171\59\35\2\u3171\u3172\5? \2\u3172\u3173\5\67\34\2") buf.write("\u3173\u3174\5)\25\2\u3174\u3175\5G$\2\u3175\u3176\5)") buf.write("\25\2\u3176\u3177\5U+\2\u3177\u3178\5%\23\2\u3178\u3179") buf.write("\5/\30\2\u3179\u317a\5)\25\2\u317a\u317b\5%\23\2\u317b") buf.write("\u317c\5\65\33\2\u317c\u5853\3\2\2\2\u317d\u317e\5U+\2") buf.write("\u317e\u317f\5G$\2\u317f\u3180\5)\25\2\u3180\u3181\59") buf.write("\35\2\u3181\u3182\5=\37\2\u3182\u3183\5G$\2\u3183\u3184") buf.write("\5\61\31\2\u3184\u3185\5U+\2\u3185\u3186\5? \2\u3186\u3187") buf.write("\5=\37\2\u3187\u3188\5\65\33\2\u3188\u3189\5)\25\2\u3189") buf.write("\u318a\5U+\2\u318a\u318b\5%\23\2\u318b\u318c\5=\37\2\u318c") buf.write("\u318d\5;\36\2\u318d\u318e\5G$\2\u318e\u318f\5)\25\2\u318f") buf.write("\u3190\5E#\2\u3190\u3191\5G$\2\u3191\u3192\5U+\2\u3192") buf.write("\u3193\5E#\2\u3193\u3194\5G$\2\u3194\u3195\5!\21\2\u3195") buf.write("\u3196\5G$\2\u3196\u3197\5I%\2\u3197\u3198\5E#\2\u3198") buf.write("\u3199\5U+\2\u3199\u319a\5-\27\2\u319a\u319b\5)\25\2\u319b") buf.write("\u319c\5G$\2\u319c\u5853\3\2\2\2\u319d\u319e\5U+\2\u319e") buf.write("\u319f\5\'\24\2\u319f\u31a0\5Y-\2\u31a0\u31a1\5e\63\2") buf.write("\u31a1\u31a2\5E#\2\u31a2\u31a3\5Q)\2\u31a3\u31a4\5E#\2") buf.write("\u31a4\u31a5\5G$\2\u31a5\u31a6\5)\25\2\u31a6\u31a7\59") buf.write("\35\2\u31a7\u31a8\5U+\2\u31a8\u31a9\59\35\2\u31a9\u31aa") buf.write("\5!\21\2\u31aa\u31ab\5? \2\u31ab\u31ac\5U+\2\u31ac\u31ad") buf.write("\5E#\2\u31ad\u31ae\5)\25\2\u31ae\u31af\5\67\34\2\u31af") buf.write("\u31b0\5)\25\2\u31b0\u31b1\5%\23\2\u31b1\u31b2\5G$\2\u31b2") buf.write("\u5853\3\2\2\2\u31b3\u31b4\5U+\2\u31b4\u31b5\5I%\2\u31b5") buf.write("\u31b6\5;\36\2\u31b6\u31b7\5\'\24\2\u31b7\u31b8\5)\25") buf.write("\2\u31b8\u31b9\5C\"\2\u31b9\u31ba\5-\27\2\u31ba\u31bb") buf.write("\5C\"\2\u31bb\u31bc\5=\37\2\u31bc\u31bd\5I%\2\u31bd\u31be") buf.write("\5;\36\2\u31be\u31bf\5\'\24\2\u31bf\u31c0\5U+\2\u31c0") buf.write("\u31c1\5G$\2\u31c1\u31c2\5=\37\2\u31c2\u31c3\5=\37\2\u31c3") buf.write("\u31c4\5\67\34\2\u31c4\u31c5\5U+\2\u31c5\u31c6\5-\27\2") buf.write("\u31c6\u31c7\5\61\31\2\u31c7\u31c8\5K&\2\u31c8\u31c9\5") buf.write(")\25\2\u31c9\u31ca\5U+\2\u31ca\u31cb\5%\23\2\u31cb\u31cc") buf.write("\5=\37\2\u31cc\u31cd\5I%\2\u31cd\u31ce\5;\36\2\u31ce\u31cf") buf.write("\5G$\2\u31cf\u5853\3\2\2\2\u31d0\u31d1\5U+\2\u31d1\u31d2") buf.write("\5I%\2\u31d2\u31d3\5;\36\2\u31d3\u31d4\5\'\24\2\u31d4") buf.write("\u31d5\5)\25\2\u31d5\u31d6\5C\"\2\u31d6\u31d7\5-\27\2") buf.write("\u31d7\u31d8\5C\"\2\u31d8\u31d9\5=\37\2\u31d9\u31da\5") buf.write("I%\2\u31da\u31db\5;\36\2\u31db\u31dc\5\'\24\2\u31dc\u31dd") buf.write("\5U+\2\u31dd\u31de\5\65\33\2\u31de\u31df\5!\21\2\u31df") buf.write("\u31e0\5E#\2\u31e0\u31e1\5)\25\2\u31e1\u31e2\5\65\33\2") buf.write("\u31e2\u31e3\5\61\31\2\u31e3\u31e4\5U+\2\u31e4\u31e5\5") buf.write("\'\24\2\u31e5\u31e6\5\61\31\2\u31e6\u31e7\5-\27\2\u31e7") buf.write("\u31e8\5U+\2\u31e8\u31e9\5%\23\2\u31e9\u31ea\5=\37\2\u31ea") buf.write("\u31eb\5I%\2\u31eb\u31ec\5;\36\2\u31ec\u31ed\5G$\2\u31ed") buf.write("\u5853\3\2\2\2\u31ee\u31ef\5U+\2\u31ef\u31f0\5I%\2\u31f0") buf.write("\u31f1\5;\36\2\u31f1\u31f2\5\'\24\2\u31f2\u31f3\5)\25") buf.write("\2\u31f3\u31f4\5C\"\2\u31f4\u31f5\5-\27\2\u31f5\u31f6") buf.write("\5C\"\2\u31f6\u31f7\5=\37\2\u31f7\u31f8\5I%\2\u31f8\u31f9") buf.write("\5;\36\2\u31f9\u31fa\5\'\24\2\u31fa\u31fb\5U+\2\u31fb") buf.write("\u31fc\5G$\2\u31fc\u31fd\5C\"\2\u31fd\u31fe\5!\21\2\u31fe") buf.write("\u31ff\5? \2\u31ff\u3200\5U+\2\u3200\u3201\5/\30\2\u3201") buf.write("\u3202\5\61\31\2\u3202\u3203\5G$\2\u3203\u3204\5U+\2\u3204") buf.write("\u3205\5%\23\2\u3205\u3206\5=\37\2\u3206\u3207\5I%\2\u3207") buf.write("\u3208\5;\36\2\u3208\u3209\5G$\2\u3209\u5853\3\2\2\2\u320a") buf.write("\u320b\5U+\2\u320b\u320c\5? \2\u320c\u320d\5=\37\2\u320d") buf.write("\u320e\5+\26\2\u320e\u320f\5\61\31\2\u320f\u3210\5;\36") buf.write("\2\u3210\u3211\5U+\2\u3211\u3212\5!\21\2\u3212\u3213\5") buf.write("\'\24\2\u3213\u3214\5\'\24\2\u3214\u5853\3\2\2\2\u3215") buf.write("\u3216\5U+\2\u3216\u3217\5? \2\u3217\u3218\5=\37\2\u3218") buf.write("\u3219\5+\26\2\u3219\u321a\5\61\31\2\u321a\u321b\5;\36") buf.write("\2\u321b\u321c\5U+\2\u321c\u321d\5!\21\2\u321d\u321e\5") buf.write("\'\24\2\u321e\u321f\5\'\24\2\u321f\u3220\5U+\2\u3220\u3221") buf.write("\5%\23\2\u3221\u3222\5/\30\2\u3222\u3223\5\65\33\2\u3223") buf.write("\u5853\3\2\2\2\u3224\u3225\5U+\2\u3225\u3226\5\61\31\2") buf.write("\u3226\u3227\5E#\2\u3227\u3228\5U+\2\u3228\u3229\5/\30") buf.write("\2\u3229\u322a\5!\21\2\u322a\u322b\5\61\31\2\u322b\u322c") buf.write("\5/\30\2\u322c\u322d\5I%\2\u322d\u322e\5U+\2\u322e\u322f") buf.write("\5)\25\2\u322f\u3230\5K&\2\u3230\u3231\5)\25\2\u3231\u3232") buf.write("\5;\36\2\u3232\u3233\5G$\2\u3233\u3234\5U+\2\u3234\u3235") buf.write("\5)\25\2\u3235\u3236\5;\36\2\u3236\u3237\5!\21\2\u3237") buf.write("\u3238\5#\22\2\u3238\u3239\5\67\34\2\u3239\u323a\5)\25") buf.write("\2\u323a\u5853\3\2\2\2\u323b\u323c\5U+\2\u323c\u323d\5") buf.write("E#\2\u323d\u323e\5=\37\2\u323e\u323f\5\'\24\2\u323f\u3240") buf.write("\5!\21\2\u3240\u3241\5G$\2\u3241\u3242\5)\25\2\u3242\u3243") buf.write("\5Q)\2\u3243\u3244\5!\21\2\u3244\u3245\5U+\2\u3245\u3246") buf.write("\5? \2\u3246\u3247\5=\37\2\u3247\u3248\5\65\33\2\u3248") buf.write("\u3249\5)\25\2\u3249\u324a\5\67\34\2\u324a\u324b\5\61") buf.write("\31\2\u324b\u324c\5E#\2\u324c\u324d\5G$\2\u324d\u324e") buf.write("\5U+\2\u324e\u324f\5E#\2\u324f\u3250\5)\25\2\u3250\u3251") buf.write("\5G$\2\u3251\u3252\5U+\2\u3252\u3253\5? \2\u3253\u3254") buf.write("\5C\"\2\u3254\u3255\5=\37\2\u3255\u3256\5%\23\2\u3256") buf.write("\u5853\3\2\2\2\u3257\u3258\5U+\2\u3258\u3259\5E#\2\u3259") buf.write("\u325a\5=\37\2\u325a\u325b\5\'\24\2\u325b\u325c\5!\21") buf.write("\2\u325c\u325d\5G$\2\u325d\u325e\5)\25\2\u325e\u325f\5") buf.write("Q)\2\u325f\u3260\5!\21\2\u3260\u3261\5U+\2\u3261\u3262") buf.write("\5? \2\u3262\u3263\5=\37\2\u3263\u3264\5\65\33\2\u3264") buf.write("\u3265\5)\25\2\u3265\u3266\5\67\34\2\u3266\u3267\5\61") buf.write("\31\2\u3267\u3268\5E#\2\u3268\u3269\5G$\2\u3269\u326a") buf.write("\5U+\2\u326a\u326b\5-\27\2\u326b\u326c\5)\25\2\u326c\u326d") buf.write("\5G$\2\u326d\u326e\5U+\2\u326e\u326f\5C\"\2\u326f\u3270") buf.write("\5)\25\2\u3270\u3271\5E#\2\u3271\u3272\5I%\2\u3272\u3273") buf.write("\5\67\34\2\u3273\u3274\5G$\2\u3274\u5853\3\2\2\2\u3275") buf.write("\u3276\5U+\2\u3276\u3277\5-\27\2\u3277\u3278\5)\25\2\u3278") buf.write("\u3279\5G$\2\u3279\u327a\5U+\2\u327a\u327b\5C\"\2\u327b") buf.write("\u327c\5!\21\2\u327c\u327d\5;\36\2\u327d\u327e\5\'\24") buf.write("\2\u327e\u327f\5=\37\2\u327f\u3280\59\35\2\u3280\u3281") buf.write("\5U+\2\u3281\u3282\5/\30\2\u3282\u3283\5\61\31\2\u3283") buf.write("\u3284\5G$\2\u3284\u5853\3\2\2\2\u3285\u3286\5U+\2\u3286") buf.write("\u3287\5I%\2\u3287\u3288\5;\36\2\u3288\u3289\5\'\24\2") buf.write("\u3289\u328a\5)\25\2\u328a\u328b\5C\"\2\u328b\u328c\5") buf.write("-\27\2\u328c\u328d\5C\"\2\u328d\u328e\5=\37\2\u328e\u328f") buf.write("\5I%\2\u328f\u3290\5;\36\2\u3290\u3291\5\'\24\2\u3291") buf.write("\u3292\5U+\2\u3292\u3293\5G$\2\u3293\u3294\5!\21\2\u3294") buf.write("\u3295\5\67\34\2\u3295\u3296\5\65\33\2\u3296\u3297\5U") buf.write("+\2\u3297\u3298\5%\23\2\u3298\u3299\5=\37\2\u3299\u329a") buf.write("\5I%\2\u329a\u329b\5;\36\2\u329b\u329c\5G$\2\u329c\u329d") buf.write("\5[.\2\u329d\u5853\3\2\2\2\u329e\u329f\5U+\2\u329f\u32a0") buf.write("\5/\30\2\u32a0\u32a1\5\61\31\2\u32a1\u32a2\5\'\24\2\u32a2") buf.write("\u32a3\5)\25\2\u32a3\u32a4\5;\36\2\u32a4\u32a5\5)\25\2") buf.write("\u32a5\u32a6\5+\26\2\u32a6\u32a7\5+\26\2\u32a7\u32a8\5") buf.write("U+\2\u32a8\u32a9\5E#\2\u32a9\u32aa\5G$\2\u32aa\u32ab\5") buf.write("!\21\2\u32ab\u32ac\5C\"\2\u32ac\u32ad\5G$\2\u32ad\u5853") buf.write("\3\2\2\2\u32ae\u32af\5U+\2\u32af\u32b0\5S*\2\u32b0\u32b1") buf.write("\5\61\31\2\u32b1\u32b2\5E#\2\u32b2\u32b3\5/\30\2\u32b3") buf.write("\u32b4\5\61\31\2\u32b4\u32b5\5;\36\2\u32b5\u5853\3\2\2") buf.write("\2\u32b6\u32b7\5U+\2\u32b7\u32b8\5#\22\2\u32b8\u32b9\5") buf.write("G$\2\u32b9\u32ba\5\67\34\2\u32ba\u32bb\5U+\2\u32bb\u32bc") buf.write("\5? \2\u32bc\u32bd\5=\37\2\u32bd\u32be\5\61\31\2\u32be") buf.write("\u32bf\5;\36\2\u32bf\u32c0\5G$\2\u32c0\u32c1\5U+\2\u32c1") buf.write("\u32c2\5M\'\2\u32c2\u32c3\5\61\31\2\u32c3\u32c4\5;\36") buf.write("\2\u32c4\u32c5\5U+\2\u32c5\u32c6\5M\'\2\u32c6\u32c7\5") buf.write("C\"\2\u32c7\u32c8\5\61\31\2\u32c8\u32c9\5G$\2\u32c9\u32ca") buf.write("\5)\25\2\u32ca\u5853\3\2\2\2\u32cb\u32cc\5U+\2\u32cc\u32cd") buf.write("\5#\22\2\u32cd\u32ce\5G$\2\u32ce\u32cf\5\67\34\2\u32cf") buf.write("\u32d0\5U+\2\u32d0\u32d1\5? \2\u32d1\u32d2\5=\37\2\u32d2") buf.write("\u32d3\5\61\31\2\u32d3\u32d4\5;\36\2\u32d4\u32d5\5G$\2") buf.write("\u32d5\u32d6\5U+\2\u32d6\u32d7\5M\'\2\u32d7\u32d8\5\61") buf.write("\31\2\u32d8\u32d9\5;\36\2\u32d9\u32da\5U+\2\u32da\u32db") buf.write("\5\'\24\2\u32db\u32dc\5)\25\2\u32dc\u32dd\5\67\34\2\u32dd") buf.write("\u5853\3\2\2\2\u32de\u32df\5U+\2\u32df\u32e0\5#\22\2\u32e0") buf.write("\u32e1\5G$\2\u32e1\u32e2\5\67\34\2\u32e2\u32e3\5U+\2\u32e3") buf.write("\u32e4\5? \2\u32e4\u32e5\5=\37\2\u32e5\u32e6\5\61\31\2") buf.write("\u32e6\u32e7\5;\36\2\u32e7\u32e8\5G$\2\u32e8\u32e9\5U") buf.write("+\2\u32e9\u32ea\5M\'\2\u32ea\u32eb\5C\"\2\u32eb\u32ec") buf.write("\5\61\31\2\u32ec\u32ed\5G$\2\u32ed\u32ee\5)\25\2\u32ee") buf.write("\u5853\3\2\2\2\u32ef\u32f0\5U+\2\u32f0\u32f1\5-\27\2\u32f1") buf.write("\u32f2\5)\25\2\u32f2\u32f3\5G$\2\u32f3\u32f4\5U+\2\u32f4") buf.write("\u32f5\5#\22\2\u32f5\u32f6\5G$\2\u32f6\u32f7\5\67\34\2") buf.write("\u32f7\u32f8\5U+\2\u32f8\u32f9\5? \2\u32f9\u32fa\5=\37") buf.write("\2\u32fa\u32fb\5\61\31\2\u32fb\u32fc\5;\36\2\u32fc\u32fd") buf.write("\5G$\2\u32fd\u5853\3\2\2\2\u32fe\u32ff\5U+\2\u32ff\u3300") buf.write("\5#\22\2\u3300\u3301\5G$\2\u3301\u3302\5\67\34\2\u3302") buf.write("\u3303\5U+\2\u3303\u3304\5? \2\u3304\u3305\5=\37\2\u3305") buf.write("\u3306\5\61\31\2\u3306\u3307\5;\36\2\u3307\u3308\5G$\2") buf.write("\u3308\u3309\5U+\2\u3309\u330a\5!\21\2\u330a\u330b\5\'") buf.write("\24\2\u330b\u330c\5\'\24\2\u330c\u5853\3\2\2\2\u330d\u330e") buf.write("\5U+\2\u330e\u330f\5#\22\2\u330f\u3310\5G$\2\u3310\u3311") buf.write("\5\67\34\2\u3311\u3312\5U+\2\u3312\u3313\5? \2\u3313\u3314") buf.write("\5=\37\2\u3314\u3315\5\61\31\2\u3315\u3316\5;\36\2\u3316") buf.write("\u3317\5G$\2\u3317\u3318\5U+\2\u3318\u3319\5E#\2\u3319") buf.write("\u331a\5I%\2\u331a\u331b\5#\22\2\u331b\u5853\3\2\2\2\u331c") buf.write("\u331d\5U+\2\u331d\u331e\5%\23\2\u331e\u331f\5=\37\2\u331f") buf.write("\u3320\59\35\2\u3320\u3321\5? \2\u3321\u3322\5U+\2\u3322") buf.write("\u3323\5#\22\2\u3323\u3324\5G$\2\u3324\u3325\5\67\34\2") buf.write("\u3325\u3326\5U+\2\u3326\u3327\5? \2\u3327\u3328\5=\37") buf.write("\2\u3328\u3329\5\61\31\2\u3329\u332a\5;\36\2\u332a\u332b") buf.write("\5G$\2\u332b\u5853\3\2\2\2\u332c\u332d\5U+\2\u332d\u332e") buf.write("\5-\27\2\u332e\u332f\5)\25\2\u332f\u3330\5G$\2\u3330\u3331") buf.write("\5U+\2\u3331\u3332\5#\22\2\u3332\u3333\5? \2\u3333\u3334") buf.write("\5U+\2\u3334\u3335\5-\27\2\u3335\u3336\5\61\31\2\u3336") buf.write("\u3337\5+\26\2\u3337\u3338\5G$\2\u3338\u5853\3\2\2\2\u3339") buf.write("\u333a\5U+\2\u333a\u333b\5I%\2\u333b\u333c\5-\27\2\u333c") buf.write("\u333d\5U+\2\u333d\u333e\5#\22\2\u333e\u333f\5!\21\2\u333f") buf.write("\u3340\5\67\34\2\u3340\u3341\5\67\34\2\u3341\u3342\5\61") buf.write("\31\2\u3342\u3343\5G$\2\u3343\u3344\5)\25\2\u3344\u3345") buf.write("\59\35\2\u3345\u3346\5U+\2\u3346\u3347\5%\23\2\u3347\u3348") buf.write("\5/\30\2\u3348\u3349\5)\25\2\u3349\u334a\5%\23\2\u334a") buf.write("\u334b\5\65\33\2\u334b\u5853\3\2\2\2\u334c\u334d\5U+\2") buf.write("\u334d\u334e\5!\21\2\u334e\u334f\5I%\2\u334f\u3350\5E") buf.write("#\2\u3350\u3351\5I%\2\u3351\u3352\5U+\2\u3352\u3353\5") buf.write("\61\31\2\u3353\u3354\5G$\2\u3354\u3355\5)\25\2\u3355\u3356") buf.write("\59\35\2\u3356\u3357\5U+\2\u3357\u3358\5%\23\2\u3358\u3359") buf.write("\5/\30\2\u3359\u335a\5)\25\2\u335a\u335b\5%\23\2\u335b") buf.write("\u335c\5\65\33\2\u335c\u5853\3\2\2\2\u335d\u335e\5U+\2") buf.write("\u335e\u335f\5%\23\2\u335f\u3360\5/\30\2\u3360\u3361\5") buf.write(")\25\2\u3361\u3362\5%\23\2\u3362\u3363\5\65\33\2\u3363") buf.write("\u3364\5U+\2\u3364\u3365\59\35\2\u3365\u3366\5Q)\2\u3366") buf.write("\u3367\5U+\2\u3367\u3368\5-\27\2\u3368\u3369\5E#\2\u3369") buf.write("\u336a\5\61\31\2\u336a\u336b\5\'\24\2\u336b\u5853\3\2") buf.write("\2\2\u336c\u336d\5U+\2\u336d\u336e\5+\26\2\u336e\u336f") buf.write("\5C\"\2\u336f\u3370\5\61\31\2\u3370\u3371\5)\25\2\u3371") buf.write("\u3372\5;\36\2\u3372\u3373\5\'\24\2\u3373\u3374\5U+\2") buf.write("\u3374\u3375\5\'\24\2\u3375\u3376\5!\21\2\u3376\u3377") buf.write("\5G$\2\u3377\u3378\5!\21\2\u3378\u3379\5U+\2\u3379\u337a") buf.write("\5;\36\2\u337a\u337b\5I%\2\u337b\u337c\59\35\2\u337c\u5853") buf.write("\3\2\2\2\u337d\u337e\5U+\2\u337e\u337f\5-\27\2\u337f\u3380") buf.write("\5)\25\2\u3380\u3381\5G$\2\u3381\u3382\5U+\2\u3382\u3383") buf.write("\5%\23\2\u3383\u3384\5=\37\2\u3384\u3385\5\61\31\2\u3385") buf.write("\u3386\5;\36\2\u3386\u3387\5U+\2\u3387\u3388\5-\27\2\u3388") buf.write("\u3389\5\61\31\2\u3389\u338a\5+\26\2\u338a\u338b\5G$\2") buf.write("\u338b\u5853\3\2\2\2\u338c\u338d\5U+\2\u338d\u338e\5E") buf.write("#\2\u338e\u338f\5I%\2\u338f\u3390\5#\22\2\u3390\u3391") buf.write("\5U+\2\u3391\u3392\5M\'\2\u3392\u3393\5\65\33\2\u3393") buf.write("\u3394\5U+\2\u3394\u3395\5%\23\2\u3395\u3396\5=\37\2\u3396") buf.write("\u3397\5\61\31\2\u3397\u3398\5;\36\2\u3398\u5853\3\2\2") buf.write("\2\u3399\u339a\5U+\2\u339a\u339b\5%\23\2\u339b\u339c\5") buf.write("=\37\2\u339c\u339d\59\35\2\u339d\u339e\5? \2\u339e\u339f") buf.write("\5U+\2\u339f\u33a0\5M\'\2\u33a0\u33a1\5\65\33\2\u33a1") buf.write("\u33a2\5U+\2\u33a2\u33a3\5%\23\2\u33a3\u33a4\5=\37\2\u33a4") buf.write("\u33a5\5\61\31\2\u33a5\u33a6\5;\36\2\u33a6\u5853\3\2\2") buf.write("\2\u33a7\u33a8\5U+\2\u33a8\u33a9\5!\21\2\u33a9\u33aa\5") buf.write("\61\31\2\u33aa\u33ab\5\65\33\2\u33ab\u33ac\5=\37\2\u33ac") buf.write("\u33ad\5G$\2\u33ad\u33ae\5=\37\2\u33ae\u33af\5#\22\2\u33af") buf.write("\u33b0\5!\21\2\u33b0\u33b1\5U+\2\u33b1\u33b2\5=\37\2\u33b2") buf.write("\u33b3\5\65\33\2\u33b3\u33b4\5I%\2\u33b4\u33b5\5C\"\2") buf.write("\u33b5\u33b6\5\61\31\2\u33b6\u33b7\59\35\2\u33b7\u33b8") buf.write("\5=\37\2\u33b8\u33b9\5;\36\2\u33b9\u33ba\5=\37\2\u33ba") buf.write("\u33bb\5U+\2\u33bb\u33bc\5%\23\2\u33bc\u33bd\5/\30\2\u33bd") buf.write("\u33be\5\65\33\2\u33be\u5853\3\2\2\2\u33bf\u33c0\5U+\2") buf.write("\u33c0\u33c1\5M\'\2\u33c1\u33c2\5\61\31\2\u33c2\u33c3") buf.write("\5+\26\2\u33c3\u33c4\5\61\31\2\u33c4\u33c5\5U+\2\u33c5") buf.write("\u33c6\5/\30\2\u33c6\u33c7\5I%\2\u33c7\u33c8\5E#\2\u33c8") buf.write("\u33c9\5\61\31\2\u33c9\u33ca\5-\27\2\u33ca\u33cb\5\61") buf.write("\31\2\u33cb\u33cc\5;\36\2\u33cc\u33cd\5!\21\2\u33cd\u33ce") buf.write("\5=\37\2\u33ce\u33cf\5\65\33\2\u33cf\u33d0\5I%\2\u33d0") buf.write("\u33d1\5C\"\2\u33d1\u33d2\5\61\31\2\u33d2\u33d3\59\35") buf.write("\2\u33d3\u33d4\5=\37\2\u33d4\u33d5\5;\36\2\u33d5\u33d6") buf.write("\5=\37\2\u33d6\u33d7\5U+\2\u33d7\u33d8\5=\37\2\u33d8\u33d9") buf.write("\5? \2\u33d9\u33da\5)\25\2\u33da\u33db\5;\36\2\u33db\u33dc") buf.write("\5U+\2\u33dc\u33dd\5+\26\2\u33dd\u33de\5\67\34\2\u33de") buf.write("\u33df\5!\21\2\u33df\u33e0\5-\27\2\u33e0\u33e1\5U+\2\u33e1") buf.write("\u33e2\5E#\2\u33e2\u33e3\5)\25\2\u33e3\u33e4\5G$\2\u33e4") buf.write("\u5853\3\2\2\2\u33e5\u33e6\5U+\2\u33e6\u33e7\5I%\2\u33e7") buf.write("\u33e8\5;\36\2\u33e8\u33e9\5\61\31\2\u33e9\u33ea\5=\37") buf.write("\2\u33ea\u33eb\5;\36\2\u33eb\u33ec\5U+\2\u33ec\u33ed\5") buf.write("-\27\2\u33ed\u33ee\5)\25\2\u33ee\u33ef\5G$\2\u33ef\u33f0") buf.write("\5U+\2\u33f0\u33f1\5%\23\2\u33f1\u33f2\5!\21\2\u33f2\u33f3") buf.write("\5C\"\2\u33f3\u33f4\5\'\24\2\u33f4\u33f5\5U+\2\u33f5\u33f6") buf.write("\5G$\2\u33f6\u33f7\5!\21\2\u33f7\u33f8\5\67\34\2\u33f8") buf.write("\u33f9\5\65\33\2\u33f9\u33fa\5U+\2\u33fa\u33fb\5;\36\2") buf.write("\u33fb\u33fc\5=\37\2\u33fc\u5853\3\2\2\2\u33fd\u33fe\5") buf.write("U+\2\u33fe\u33ff\5M\'\2\u33ff\u3400\5\61\31\2\u3400\u3401") buf.write("\5C\"\2\u3401\u3402\5)\25\2\u3402\u3403\5\67\34\2\u3403") buf.write("\u3404\5)\25\2\u3404\u3405\5E#\2\u3405\u3406\5E#\2\u3406") buf.write("\u3407\5U+\2\u3407\u3408\5\61\31\2\u3408\u3409\5%\23\2") buf.write("\u3409\u340a\5=\37\2\u340a\u340b\5;\36\2\u340b\u340c\5") buf.write("U+\2\u340c\u340d\5)\25\2\u340d\u340e\5!\21\2\u340e\u340f") buf.write("\5E#\2\u340f\u3410\5Q)\2\u3410\u5853\3\2\2\2\u3411\u3412") buf.write("\5U+\2\u3412\u3413\5M\'\2\u3413\u3414\5\61\31\2\u3414") buf.write("\u3415\5C\"\2\u3415\u3416\5)\25\2\u3416\u3417\5\67\34") buf.write("\2\u3417\u3418\5)\25\2\u3418\u3419\5E#\2\u3419\u341a\5") buf.write("E#\2\u341a\u341b\5U+\2\u341b\u341c\5\61\31\2\u341c\u341d") buf.write("\5%\23\2\u341d\u341e\5=\37\2\u341e\u341f\5;\36\2\u341f") buf.write("\u3420\5U+\2\u3420\u3421\5)\25\2\u3421\u3422\5!\21\2\u3422") buf.write("\u3423\5E#\2\u3423\u3424\5Q)\2\u3424\u3425\5U+\2\u3425") buf.write("\u3426\5)\25\2\u3426\u3427\5;\36\2\u3427\u3428\5\'\24") buf.write("\2\u3428\u5853\3\2\2\2\u3429\u342a\5U+\2\u342a\u342b\5") buf.write("E#\2\u342b\u342c\5!\21\2\u342c\u342d\5K&\2\u342d\u342e") buf.write("\5)\25\2\u342e\u342f\5U+\2\u342f\u3430\5+\26\2\u3430\u3431") buf.write("\5\61\31\2\u3431\u3432\5)\25\2\u3432\u3433\5\67\34\2\u3433") buf.write("\u3434\5\'\24\2\u3434\u3435\5U+\2\u3435\u3436\5=\37\2") buf.write("\u3436\u3437\5#\22\2\u3437\u3438\5\63\32\2\u3438\u5853") buf.write("\3\2\2\2\u3439\u343a\5U+\2\u343a\u343b\5E#\2\u343b\u343c") buf.write("\5)\25\2\u343c\u343d\5!\21\2\u343d\u343e\5\67\34\2\u343e") buf.write("\u343f\5U+\2\u343f\u3440\5;\36\2\u3440\u3441\5!\21\2\u3441") buf.write("\u3442\59\35\2\u3442\u3443\5)\25\2\u3443\u5853\3\2\2\2") buf.write("\u3444\u3445\5U+\2\u3445\u3446\5E#\2\u3446\u3447\5)\25") buf.write("\2\u3447\u3448\5G$\2\u3448\u3449\5U+\2\u3449\u344a\5)") buf.write("\25\2\u344a\u344b\5E#\2\u344b\u344c\5%\23\2\u344c\u344d") buf.write("\5!\21\2\u344d\u344e\5? \2\u344e\u344f\5)\25\2\u344f\u3450") buf.write("\5U+\2\u3450\u3451\5\67\34\2\u3451\u3452\5=\37\2\u3452") buf.write("\u3453\5%\23\2\u3453\u3454\5!\21\2\u3454\u3455\5G$\2\u3455") buf.write("\u3456\5\61\31\2\u3456\u3457\5=\37\2\u3457\u3458\5;\36") buf.write("\2\u3458\u5853\3\2\2\2\u3459\u345a\5U+\2\u345a\u345b\5") buf.write("+\26\2\u345b\u345c\5\61\31\2\u345c\u345d\5)\25\2\u345d") buf.write("\u345e\5\67\34\2\u345e\u345f\5\'\24\2\u345f\u3460\5=\37") buf.write("\2\u3460\u3461\5#\22\2\u3461\u3462\5\63\32\2\u3462\u3463") buf.write("\5U+\2\u3463\u3464\5#\22\2\u3464\u3465\5\61\31\2\u3465") buf.write("\u3466\5G$\2\u3466\u3467\5E#\2\u3467\u3468\5)\25\2\u3468") buf.write("\u3469\5G$\2\u3469\u346a\5U+\2\u346a\u346b\5+\26\2\u346b") buf.write("\u346c\5)\25\2\u346c\u346d\5\67\34\2\u346d\u346e\5\67") buf.write("\34\2\u346e\u346f\5=\37\2\u346f\u3470\5M\'\2\u3470\u3471") buf.write("\5/\30\2\u3471\u3472\5\61\31\2\u3472\u3473\5G$\2\u3473") buf.write("\u5853\3\2\2\2\u3474\u3475\5U+\2\u3475\u3476\5\'\24\2") buf.write("\u3476\u3477\5!\21\2\u3477\u3478\59\35\2\u3478\u3479\5") buf.write(")\25\2\u3479\u347a\5U+\2\u347a\u347b\5G$\2\u347b\u347c") buf.write("\5!\21\2\u347c\u347d\59\35\2\u347d\u347e\5!\21\2\u347e") buf.write("\u347f\5-\27\2\u347f\u3480\5=\37\2\u3480\u3481\5U+\2\u3481") buf.write("\u3482\5%\23\2\u3482\u3483\5/\30\2\u3483\u3484\5\65\33") buf.write("\2\u3484\u3485\5U+\2\u3485\u3486\5!\21\2\u3486\u3487\5") buf.write("\67\34\2\u3487\u3488\5\67\34\2\u3488\u5853\3\2\2\2\u3489") buf.write("\u348a\5U+\2\u348a\u348b\5I%\2\u348b\u348c\5;\36\2\u348c") buf.write("\u348d\5\61\31\2\u348d\u348e\5=\37\2\u348e\u348f\5;\36") buf.write("\2\u348f\u3490\5U+\2\u3490\u3491\5#\22\2\u3491\u3492\5") buf.write("9\35\2\u3492\u3493\5? \2\u3493\u3494\59\35\2\u3494\u3495") buf.write("\5)\25\2\u3495\u3496\5;\36\2\u3496\u3497\5I%\2\u3497\u3498") buf.write("\5U+\2\u3498\u3499\5E#\2\u3499\u349a\5G$\2\u349a\u349b") buf.write("\5!\21\2\u349b\u349c\5C\"\2\u349c\u349d\5G$\2\u349d\u5853") buf.write("\3\2\2\2\u349e\u349f\5U+\2\u349f\u34a0\5I%\2\u34a0\u34a1") buf.write("\5;\36\2\u34a1\u34a2\5\61\31\2\u34a2\u34a3\5=\37\2\u34a3") buf.write("\u34a4\5;\36\2\u34a4\u34a5\5U+\2\u34a5\u34a6\5#\22\2\u34a6") buf.write("\u34a7\5!\21\2\u34a7\u34a8\5G$\2\u34a8\u34a9\5G$\2\u34a9") buf.write("\u34aa\5\67\34\2\u34aa\u34ab\5)\25\2\u34ab\u34ac\5U+\2") buf.write("\u34ac\u34ad\5E#\2\u34ad\u34ae\5G$\2\u34ae\u34af\5!\21") buf.write("\2\u34af\u34b0\5C\"\2\u34b0\u34b1\5G$\2\u34b1\u34b2\5") buf.write("U+\2\u34b2\u34b3\5%\23\2\u34b3\u34b4\5/\30\2\u34b4\u34b5") buf.write("\5)\25\2\u34b5\u34b6\5%\23\2\u34b6\u34b7\5\65\33\2\u34b7") buf.write("\u5853\3\2\2\2\u34b8\u34b9\5U+\2\u34b9\u34ba\5-\27\2\u34ba") buf.write("\u34bb\5)\25\2\u34bb\u34bc\5G$\2\u34bc\u34bd\5U+\2\u34bd") buf.write("\u34be\5G$\2\u34be\u34bf\5C\"\2\u34bf\u34c0\5%\23\2\u34c0") buf.write("\u34c1\5!\21\2\u34c1\u34c2\5C\"\2\u34c2\u34c3\5\'\24\2") buf.write("\u34c3\u34c4\5U+\2\u34c4\u34c5\5C\"\2\u34c5\u34c6\5!\21") buf.write("\2\u34c6\u34c7\5;\36\2\u34c7\u34c8\5\65\33\2\u34c8\u5853") buf.write("\3\2\2\2\u34c9\u34ca\5U+\2\u34ca\u34cb\5+\26\2\u34cb\u34cc") buf.write("\5\67\34\2\u34cc\u34cd\5\'\24\2\u34cd\u34ce\5U+\2\u34ce") buf.write("\u34cf\5E#\2\u34cf\u34d0\5%\23\2\u34d0\u34d1\5=\37\2\u34d1") buf.write("\u34d2\5? \2\u34d2\u34d3\5)\25\2\u34d3\u34d4\5U+\2\u34d4") buf.write("\u34d5\59\35\2\u34d5\u34d6\5=\37\2\u34d6\u34d7\5\'\24") buf.write("\2\u34d7\u34d8\5)\25\2\u34d8\u34d9\5U+\2\u34d9\u34da\5") buf.write("=\37\2\u34da\u34db\5;\36\2\u34db\u5853\3\2\2\2\u34dc\u34dd") buf.write("\5U+\2\u34dd\u34de\5+\26\2\u34de\u34df\5\67\34\2\u34df") buf.write("\u34e0\5\'\24\2\u34e0\u34e1\5U+\2\u34e1\u34e2\5E#\2\u34e2") buf.write("\u34e3\5%\23\2\u34e3\u34e4\5=\37\2\u34e4\u34e5\5? \2\u34e5") buf.write("\u34e6\5)\25\2\u34e6\u34e7\5U+\2\u34e7\u34e8\59\35\2\u34e8") buf.write("\u34e9\5=\37\2\u34e9\u34ea\5\'\24\2\u34ea\u34eb\5)\25") buf.write("\2\u34eb\u34ec\5U+\2\u34ec\u34ed\5=\37\2\u34ed\u34ee\5") buf.write("+\26\2\u34ee\u34ef\5+\26\2\u34ef\u5853\3\2\2\2\u34f0\u34f1") buf.write("\5U+\2\u34f1\u34f2\5!\21\2\u34f2\u34f3\5%\23\2\u34f3\u34f4") buf.write("\5U+\2\u34f4\u34f5\5I%\2\u34f5\u34f6\5? \2\u34f6\u5853") buf.write("\3\2\2\2\u34f7\u34f8\5U+\2\u34f8\u34f9\5!\21\2\u34f9\u34fa") buf.write("\5%\23\2\u34fa\u34fb\5U+\2\u34fb\u34fc\5\'\24\2\u34fc") buf.write("\u34fd\5=\37\2\u34fd\u34fe\5M\'\2\u34fe\u34ff\5;\36\2") buf.write("\u34ff\u5853\3\2\2\2\u3500\u3501\5U+\2\u3501\u3502\5!") buf.write("\21\2\u3502\u3503\5%\23\2\u3503\u3504\5U+\2\u3504\u3505") buf.write("\5\67\34\2\u3505\u3506\5)\25\2\u3506\u3507\5+\26\2\u3507") buf.write("\u3508\5G$\2\u3508\u5853\3\2\2\2\u3509\u350a\5U+\2\u350a") buf.write("\u350b\5!\21\2\u350b\u350c\5%\23\2\u350c\u350d\5U+\2\u350d") buf.write("\u350e\5C\"\2\u350e\u350f\5\61\31\2\u350f\u3510\5-\27") buf.write("\2\u3510\u3511\5/\30\2\u3511\u3512\5G$\2\u3512\u5853\3") buf.write("\2\2\2\u3513\u3514\5U+\2\u3514\u3515\5!\21\2\u3515\u3516") buf.write("\5%\23\2\u3516\u3517\5U+\2\u3517\u3518\5\67\34\2\u3518") buf.write("\u3519\5=\37\2\u3519\u351a\5=\37\2\u351a\u351b\5? \2\u351b") buf.write("\u5853\3\2\2\2\u351c\u351d\5U+\2\u351d\u351e\5!\21\2\u351e") buf.write("\u351f\5%\23\2\u351f\u3520\5U+\2\u3520\u3521\5\'\24\2") buf.write("\u3521\u3522\5\61\31\2\u3522\u3523\5C\"\2\u3523\u3524") buf.write("\5U+\2\u3524\u3525\5I%\2\u3525\u5853\3\2\2\2\u3526\u3527") buf.write("\5U+\2\u3527\u3528\5!\21\2\u3528\u3529\5%\23\2\u3529\u352a") buf.write("\5U+\2\u352a\u352b\5\'\24\2\u352b\u352c\5\61\31\2\u352c") buf.write("\u352d\5C\"\2\u352d\u352e\5U+\2\u352e\u352f\5C\"\2\u352f") buf.write("\u5853\3\2\2\2\u3530\u3531\5U+\2\u3531\u3532\5!\21\2\u3532") buf.write("\u3533\5%\23\2\u3533\u3534\5U+\2\u3534\u3535\5\'\24\2") buf.write("\u3535\u3536\5\61\31\2\u3536\u3537\5C\"\2\u3537\u3538") buf.write("\5U+\2\u3538\u3539\5\'\24\2\u3539\u5853\3\2\2\2\u353a") buf.write("\u353b\5U+\2\u353b\u353c\5!\21\2\u353c\u353d\5%\23\2\u353d") buf.write("\u353e\5U+\2\u353e\u353f\5\'\24\2\u353f\u3540\5\61\31") buf.write("\2\u3540\u3541\5C\"\2\u3541\u3542\5U+\2\u3542\u3543\5") buf.write("\67\34\2\u3543\u5853\3\2\2\2\u3544\u3545\5U+\2\u3545\u3546") buf.write("\5!\21\2\u3546\u3547\5%\23\2\u3547\u3548\59\35\2\u3548") buf.write("\u3549\5\'\24\2\u3549\u354a\5U+\2\u354a\u354b\5)\25\2") buf.write("\u354b\u354c\5;\36\2\u354c\u354d\5\'\24\2\u354d\u5853") buf.write("\3\2\2\2\u354e\u354f\5U+\2\u354f\u3550\5!\21\2\u3550\u3551") buf.write("\5%\23\2\u3551\u3552\5U+\2\u3552\u3553\5\'\24\2\u3553") buf.write("\u3554\5\61\31\2\u3554\u3555\5C\"\2\u3555\u3556\5U+\2") buf.write("\u3556\u3557\5K&\2\u3557\u3558\5!\21\2\u3558\u3559\5\67") buf.write("\34\2\u3559\u5853\3\2\2\2\u355a\u355b\5U+\2\u355b\u355c") buf.write("\5!\21\2\u355c\u355d\5%\23\2\u355d\u355e\5U+\2\u355e\u355f") 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buf.write("\u3587\u3588\5C\"\2\u3588\u3589\5!\21\2\u3589\u358a\5") buf.write("9\35\2\u358a\u358b\5)\25\2\u358b\u5853\3\2\2\2\u358c\u358d") buf.write("\5U+\2\u358d\u358e\5\'\24\2\u358e\u358f\5)\25\2\u358f") buf.write("\u3590\5#\22\2\u3590\u3591\5I%\2\u3591\u3592\5-\27\2\u3592") buf.write("\u3593\5U+\2\u3593\u3594\5? \2\u3594\u3595\5C\"\2\u3595") buf.write("\u3596\5\61\31\2\u3596\u3597\5;\36\2\u3597\u3598\5G$\2") buf.write("\u3598\u5853\3\2\2\2\u3599\u359a\5U+\2\u359a\u359b\5!") buf.write("\21\2\u359b\u359c\5%\23\2\u359c\u359d\5U+\2\u359d\u359e") buf.write("\59\35\2\u359e\u359f\5!\21\2\u359f\u35a0\5C\"\2\u35a0") buf.write("\u35a1\5\65\33\2\u35a1\u35a2\5U+\2\u35a2\u35a3\5-\27\2") buf.write("\u35a3\u35a4\5Q)\2\u35a4\u35a5\5=\37\2\u35a5\u35a6\5)") buf.write("\25\2\u35a6\u5853\3\2\2\2\u35a7\u35a8\5U+\2\u35a8\u35a9") buf.write("\5+\26\2\u35a9\u35aa\5!\21\2\u35aa\u35ab\5\'\24\2\u35ab") buf.write("\u35ac\5)\25\2\u35ac\u35ad\5U+\2\u35ad\u35ae\5M\'\2\u35ae") 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buf.write("\21\2\u3629\u362a\5G$\2\u362a\u362b\5%\23\2\u362b\u362c") buf.write("\5/\30\2\u362c\u362d\5U+\2\u362d\u362e\5S*\2\u362e\u5853") buf.write("\3\2\2\2\u362f\u3630\5U+\2\u3630\u3631\5!\21\2\u3631\u3632") buf.write("\5%\23\2\u3632\u3633\5U+\2\u3633\u3634\5I%\2\u3634\u3635") buf.write("\5? \2\u3635\u3636\5U+\2\u3636\u3637\5%\23\2\u3637\u3638") buf.write("\5)\25\2\u3638\u3639\5;\36\2\u3639\u363a\5G$\2\u363a\u363b") buf.write("\5)\25\2\u363b\u363c\5C\"\2\u363c\u5853\3\2\2\2\u363d") buf.write("\u363e\5U+\2\u363e\u363f\5!\21\2\u363f\u3640\5%\23\2\u3640") buf.write("\u3641\5U+\2\u3641\u3642\5\'\24\2\u3642\u3643\5=\37\2") buf.write("\u3643\u3644\5M\'\2\u3644\u3645\5;\36\2\u3645\u3646\5") buf.write("U+\2\u3646\u3647\5%\23\2\u3647\u3648\5)\25\2\u3648\u3649") buf.write("\5;\36\2\u3649\u364a\5G$\2\u364a\u364b\5)\25\2\u364b\u364c") buf.write("\5C\"\2\u364c\u5853\3\2\2\2\u364d\u364e\5U+\2\u364e\u364f") buf.write("\5!\21\2\u364f\u3650\5%\23\2\u3650\u3651\5U+\2\u3651\u3652") 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buf.write("\u367a\5%\23\2\u367a\u367b\5)\25\2\u367b\u367c\5;\36\2") buf.write("\u367c\u367d\5G$\2\u367d\u367e\5)\25\2\u367e\u367f\5C") buf.write("\"\2\u367f\u5853\3\2\2\2\u3680\u3681\5U+\2\u3681\u3682") buf.write("\5!\21\2\u3682\u3683\5%\23\2\u3683\u3684\5U+\2\u3684\u3685") buf.write("\5\'\24\2\u3685\u3686\5\61\31\2\u3686\u3687\5C\"\2\u3687") buf.write("\u3688\5U+\2\u3688\u3689\5\'\24\2\u3689\u368a\5=\37\2") buf.write("\u368a\u368b\5M\'\2\u368b\u368c\5;\36\2\u368c\u368d\5") buf.write("U+\2\u368d\u368e\5%\23\2\u368e\u368f\5)\25\2\u368f\u3690") buf.write("\5;\36\2\u3690\u3691\5G$\2\u3691\u3692\5)\25\2\u3692\u3693") buf.write("\5C\"\2\u3693\u5853\3\2\2\2\u3694\u3695\5U+\2\u3695\u3696") buf.write("\5!\21\2\u3696\u3697\5%\23\2\u3697\u3698\5U+\2\u3698\u3699") buf.write("\5\'\24\2\u3699\u369a\5\61\31\2\u369a\u369b\5C\"\2\u369b") buf.write("\u369c\5U+\2\u369c\u369d\5\67\34\2\u369d\u369e\5)\25\2") buf.write("\u369e\u369f\5+\26\2\u369f\u36a0\5G$\2\u36a0\u36a1\5U") 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buf.write("\37\2\u36c9\u36ca\5;\36\2\u36ca\u5853\3\2\2\2\u36cb\u36cc") buf.write("\5U+\2\u36cc\u36cd\5!\21\2\u36cd\u36ce\5%\23\2\u36ce\u36cf") buf.write("\5U+\2\u36cf\u36d0\5K&\2\u36d0\u36d1\5!\21\2\u36d1\u36d2") buf.write("\5;\36\2\u36d2\u36d3\5\61\31\2\u36d3\u36d4\5E#\2\u36d4") buf.write("\u36d5\5/\30\2\u36d5\u36d6\5U+\2\u36d6\u36d7\5=\37\2\u36d7") buf.write("\u36d8\5+\26\2\u36d8\u36d9\5+\26\2\u36d9\u5853\3\2\2\2") buf.write("\u36da\u36db\5U+\2\u36db\u36dc\5!\21\2\u36dc\u36dd\5%") buf.write("\23\2\u36dd\u36de\5U+\2\u36de\u36df\5\'\24\2\u36df\u36e0") buf.write("\5\61\31\2\u36e0\u36e1\5C\"\2\u36e1\u36e2\5U+\2\u36e2") buf.write("\u36e3\5? \2\u36e3\u36e4\5!\21\2\u36e4\u36e5\5I%\2\u36e5") buf.write("\u36e6\5E#\2\u36e6\u36e7\5)\25\2\u36e7\u36e8\5U+\2\u36e8") buf.write("\u36e9\5=\37\2\u36e9\u36ea\5;\36\2\u36ea\u5853\3\2\2\2") buf.write("\u36eb\u36ec\5U+\2\u36ec\u36ed\5!\21\2\u36ed\u36ee\5%") buf.write("\23\2\u36ee\u36ef\5U+\2\u36ef\u36f0\5\'\24\2\u36f0\u36f1") buf.write("\5\61\31\2\u36f1\u36f2\5C\"\2\u36f2\u36f3\5U+\2\u36f3") buf.write("\u36f4\5? \2\u36f4\u36f5\5!\21\2\u36f5\u36f6\5I%\2\u36f6") buf.write("\u36f7\5E#\2\u36f7\u36f8\5)\25\2\u36f8\u36f9\5U+\2\u36f9") buf.write("\u36fa\5=\37\2\u36fa\u36fb\5+\26\2\u36fb\u36fc\5+\26\2") buf.write("\u36fc\u5853\3\2\2\2\u36fd\u36fe\5U+\2\u36fe\u36ff\5!") buf.write("\21\2\u36ff\u3700\5%\23\2\u3700\u3701\5U+\2\u3701\u3702") buf.write("\5!\21\2\u3702\u3703\5;\36\2\u3703\u3704\59\35\2\u3704") buf.write("\u3705\5U+\2\u3705\u3706\5? \2\u3706\u3707\5!\21\2\u3707") buf.write("\u3708\5I%\2\u3708\u3709\5E#\2\u3709\u370a\5)\25\2\u370a") buf.write("\u370b\5U+\2\u370b\u370c\5=\37\2\u370c\u370d\5;\36\2\u370d") buf.write("\u5853\3\2\2\2\u370e\u370f\5U+\2\u370f\u3710\5!\21\2\u3710") buf.write("\u3711\5%\23\2\u3711\u3712\5U+\2\u3712\u3713\5!\21\2\u3713") buf.write("\u3714\5;\36\2\u3714\u3715\59\35\2\u3715\u3716\5U+\2\u3716") buf.write("\u3717\5? \2\u3717\u3718\5!\21\2\u3718\u3719\5I%\2\u3719") buf.write("\u371a\5E#\2\u371a\u371b\5)\25\2\u371b\u371c\5U+\2\u371c") buf.write("\u371d\5=\37\2\u371d\u371e\5+\26\2\u371e\u371f\5+\26\2") buf.write("\u371f\u5853\3\2\2\2\u3720\u3721\5U+\2\u3721\u3722\5!") buf.write("\21\2\u3722\u3723\5%\23\2\u3723\u3724\5U+\2\u3724\u3725") buf.write("\5? \2\u3725\u3726\5%\23\2\u3726\u3727\5U+\2\u3727\u3728") buf.write("\5#\22\2\u3728\u3729\5=\37\2\u3729\u372a\5M\'\2\u372a") buf.write("\u5853\3\2\2\2\u372b\u372c\5U+\2\u372c\u372d\5!\21\2\u372d") buf.write("\u372e\5%\23\2\u372e\u372f\5U+\2\u372f\u3730\5/\30\2\u3730") buf.write("\u3731\5\61\31\2\u3731\u3732\5\'\24\2\u3732\u3733\5)\25") buf.write("\2\u3733\u3734\5U+\2\u3734\u3735\5? \2\u3735\u3736\5I") buf.write("%\2\u3736\u3737\5\67\34\2\u3737\u3738\5\67\34\2\u3738") buf.write("\u3739\5=\37\2\u3739\u373a\5+\26\2\u373a\u373b\5+\26\2") buf.write("\u373b\u5853\3\2\2\2\u373c\u373d\5U+\2\u373d\u373e\5!") buf.write("\21\2\u373e\u373f\5%\23\2\u373f\u3740\5U+\2\u3740\u3741") buf.write("\5/\30\2\u3741\u3742\5)\25\2\u3742\u3743\5C\"\2\u3743") buf.write("\u3744\5=\37\2\u3744\u3745\5U+\2\u3745\u3746\5#\22\2\u3746") buf.write("\u3747\5!\21\2\u3747\u3748\5;\36\2\u3748\u3749\5S*\2\u3749") buf.write("\u374a\5!\21\2\u374a\u374b\5\61\31\2\u374b\u5853\3\2\2") buf.write("\2\u374c\u374d\5U+\2\u374d\u374e\5!\21\2\u374e\u374f\5") buf.write("%\23\2\u374f\u3750\5U+\2\u3750\u3751\59\35\2\u3751\u3752") buf.write("\5!\21\2\u3752\u3753\5C\"\2\u3753\u3754\5\65\33\2\u3754") buf.write("\u3755\5U+\2\u3755\u3756\5E#\2\u3756\u3757\5!\21\2\u3757") buf.write("\u3758\5\61\31\2\u3758\u3759\5E#\2\u3759\u375a\5)\25\2") buf.write("\u375a\u375b\5;\36\2\u375b\u5853\3\2\2\2\u375c\u375d\5") buf.write("U+\2\u375d\u375e\5!\21\2\u375e\u375f\5%\23\2\u375f\u3760") buf.write("\5U+\2\u3760\u3761\5/\30\2\u3761\u3762\5)\25\2\u3762\u3763") buf.write("\5C\"\2\u3763\u3764\5=\37\2\u3764\u3765\5U+\2\u3765\u3766") buf.write("\5#\22\2\u3766\u3767\5!\21\2\u3767\u3768\5;\36\2\u3768") 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buf.write("\u3791\5U+\2\u3791\u3792\5? \2\u3792\u3793\5=\37\2\u3793") buf.write("\u3794\5E#\2\u3794\u3795\5U+\2\u3795\u3796\5/\30\2\u3796") buf.write("\u3797\5)\25\2\u3797\u3798\5C\"\2\u3798\u3799\5=\37\2") buf.write("\u3799\u5853\3\2\2\2\u379a\u379b\5U+\2\u379b\u379c\5%") buf.write("\23\2\u379c\u379d\5!\21\2\u379d\u379e\59\35\2\u379e\u379f") buf.write("\5)\25\2\u379f\u37a0\5C\"\2\u37a0\u37a1\5!\21\2\u37a1") buf.write("\u37a2\5U+\2\u37a2\u37a3\5G$\2\u37a3\u37a4\5!\21\2\u37a4") buf.write("\u37a5\5C\"\2\u37a5\u37a6\5-\27\2\u37a6\u37a7\5)\25\2") buf.write("\u37a7\u37a8\5G$\2\u37a8\u37a9\5U+\2\u37a9\u37aa\5/\30") buf.write("\2\u37aa\u37ab\5)\25\2\u37ab\u37ac\5C\"\2\u37ac\u37ad") buf.write("\5=\37\2\u37ad\u5853\3\2\2\2\u37ae\u37af\5U+\2\u37af\u37b0") buf.write("\5%\23\2\u37b0\u37b1\5!\21\2\u37b1\u37b2\59\35\2\u37b2") buf.write("\u37b3\5)\25\2\u37b3\u37b4\5C\"\2\u37b4\u37b5\5!\21\2") buf.write("\u37b5\u37b6\5U+\2\u37b6\u37b7\5G$\2\u37b7\u37b8\5!\21") 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buf.write("\5U+\2\u3831\u3832\5=\37\2\u3832\u3833\5? \2\u3833\u3834") buf.write("\5)\25\2\u3834\u3835\5;\36\2\u3835\u3836\5U+\2\u3836\u3837") buf.write("\5%\23\2\u3837\u3838\5I%\2\u3838\u3839\5E#\2\u3839\u383a") buf.write("\5G$\2\u383a\u383b\5I%\2\u383b\u383c\59\35\2\u383c\u383d") buf.write("\5U+\2\u383d\u383e\5M\'\2\u383e\u383f\5\61\31\2\u383f") buf.write("\u3840\5;\36\2\u3840\u5853\3\2\2\2\u3841\u3842\5U+\2\u3842") buf.write("\u3843\5K&\2\u3843\u3844\5\61\31\2\u3844\u3845\5E#\2\u3845") buf.write("\u3846\5\61\31\2\u3846\u3847\5#\22\2\u3847\u3848\5\67") buf.write("\34\2\u3848\u3849\5)\25\2\u3849\u384a\5U+\2\u384a\u384b") buf.write("\5=\37\2\u384b\u384c\5#\22\2\u384c\u384d\5\63\32\2\u384d") buf.write("\u384e\5U+\2\u384e\u384f\5? \2\u384f\u3850\5C\"\2\u3850") buf.write("\u3851\5=\37\2\u3851\u3852\5? \2\u3852\u5853\3\2\2\2\u3853") buf.write("\u3854\5U+\2\u3854\u3855\5\61\31\2\u3855\u3856\5;\36\2") buf.write("\u3856\u3857\5K&\2\u3857\u3858\5\61\31\2\u3858\u3859\5") 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buf.write("\5K&\2\u3881\u3882\5)\25\2\u3882\u3883\5;\36\2\u3883\u3884") buf.write("\5G$\2\u3884\u3885\5U+\2\u3885\u3886\5%\23\2\u3886\u3887") buf.write("\5!\21\2\u3887\u3888\59\35\2\u3888\u3889\5)\25\2\u3889") buf.write("\u388a\5C\"\2\u388a\u388b\5!\21\2\u388b\u388c\5U+\2\u388c") buf.write("\u388d\5? \2\u388d\u388e\5!\21\2\u388e\u388f\5C\"\2\u388f") buf.write("\u3890\5!\21\2\u3890\u3891\59\35\2\u3891\u5853\3\2\2\2") buf.write("\u3892\u3893\5U+\2\u3893\u3894\5)\25\2\u3894\u3895\5K") buf.write("&\2\u3895\u3896\5)\25\2\u3896\u3897\5;\36\2\u3897\u3898") buf.write("\5G$\2\u3898\u3899\5U+\2\u3899\u389a\5%\23\2\u389a\u389b") buf.write("\5!\21\2\u389b\u389c\59\35\2\u389c\u389d\5)\25\2\u389d") buf.write("\u389e\5C\"\2\u389e\u389f\5!\21\2\u389f\u38a0\5U+\2\u38a0") buf.write("\u38a1\5M\'\2\u38a1\u38a2\5!\21\2\u38a2\u38a3\5\61\31") buf.write("\2\u38a3\u38a4\5G$\2\u38a4\u5853\3\2\2\2\u38a5\u38a6\5") buf.write("U+\2\u38a6\u38a7\5)\25\2\u38a7\u38a8\5K&\2\u38a8\u38a9") buf.write("\5)\25\2\u38a9\u38aa\5;\36\2\u38aa\u38ab\5G$\2\u38ab\u38ac") buf.write("\5U+\2\u38ac\u38ad\5%\23\2\u38ad\u38ae\5!\21\2\u38ae\u38af") buf.write("\59\35\2\u38af\u38b0\5)\25\2\u38b0\u38b1\5C\"\2\u38b1") buf.write("\u38b2\5!\21\2\u38b2\u38b3\5U+\2\u38b3\u38b4\5+\26\2\u38b4") buf.write("\u38b5\5C\"\2\u38b5\u38b6\5!\21\2\u38b6\u38b7\59\35\2") buf.write("\u38b7\u38b8\5)\25\2\u38b8\u5853\3\2\2\2\u38b9\u38ba\5") buf.write("U+\2\u38ba\u38bb\5/\30\2\u38bb\u38bc\5\61\31\2\u38bc\u38bd") buf.write("\5G$\2\u38bd\u38be\5U+\2\u38be\u38bf\5\'\24\2\u38bf\u38c0") buf.write("\5=\37\2\u38c0\u38c1\5=\37\2\u38c1\u38c2\5C\"\2\u38c2") buf.write("\u38c3\5U+\2\u38c3\u38c4\5!\21\2\u38c4\u38c5\5;\36\2\u38c5") buf.write("\u38c6\5\61\31\2\u38c6\u38c7\59\35\2\u38c7\u38c8\5)\25") buf.write("\2\u38c8\u5853\3\2\2\2\u38c9\u38ca\5U+\2\u38ca\u38cb\5") buf.write("/\30\2\u38cb\u38cc\5\61\31\2\u38cc\u38cd\5G$\2\u38cd\u38ce") buf.write("\5U+\2\u38ce\u38cf\5\'\24\2\u38cf\u38d0\5=\37\2\u38d0") buf.write("\u38d1\5=\37\2\u38d1\u38d2\5C\"\2\u38d2\u38d3\5U+\2\u38d3") buf.write("\u38d4\5!\21\2\u38d4\u38d5\5;\36\2\u38d5\u38d6\5\61\31") buf.write("\2\u38d6\u38d7\59\35\2\u38d7\u38d8\5)\25\2\u38d8\u38d9") buf.write("\5U+\2\u38d9\u38da\5M\'\2\u38da\u38db\5!\21\2\u38db\u38dc") buf.write("\5\61\31\2\u38dc\u38dd\5G$\2\u38dd\u5853\3\2\2\2\u38de") buf.write("\u38df\5U+\2\u38df\u38e0\5E#\2\u38e0\u38e1\5)\25\2\u38e1") buf.write("\u38e2\5G$\2\u38e2\u38e3\5U+\2\u38e3\u38e4\5\'\24\2\u38e4") buf.write("\u38e5\5=\37\2\u38e5\u38e6\5=\37\2\u38e6\u38e7\5C\"\2") buf.write("\u38e7\u38e8\5U+\2\u38e8\u38e9\5=\37\2\u38e9\u38ea\5#") buf.write("\22\2\u38ea\u38eb\5\63\32\2\u38eb\u5853\3\2\2\2\u38ec") buf.write("\u38ed\5U+\2\u38ed\u38ee\5C\"\2\u38ee\u38ef\5=\37\2\u38ef") buf.write("\u38f0\5G$\2\u38f0\u38f1\5=\37\2\u38f1\u38f2\59\35\2\u38f2") buf.write("\u38f3\5I%\2\u38f3\u38f4\5U+\2\u38f4\u38f5\5+\26\2\u38f5") buf.write("\u38f6\5=\37\2\u38f6\u38f7\5C\"\2\u38f7\u38f8\59\35\2") buf.write("\u38f8\u38f9\5U+\2\u38f9\u38fa\5%\23\2\u38fa\u38fb\5/") buf.write("\30\2\u38fb\u38fc\5)\25\2\u38fc\u38fd\5%\23\2\u38fd\u38fe") buf.write("\5\65\33\2\u38fe\u5853\3\2\2\2\u38ff\u3900\5U+\2\u3900") buf.write("\u3901\5G$\2\u3901\u3902\5)\25\2\u3902\u3903\59\35\2\u3903") buf.write("\u3904\5=\37\2\u3904\u3905\5G$\2\u3905\u3906\5\61\31\2") buf.write("\u3906\u3907\5U+\2\u3907\u3908\5C\"\2\u3908\u3909\5=\37") buf.write("\2\u3909\u390a\5G$\2\u390a\u390b\5=\37\2\u390b\u390c\5") buf.write("9\35\2\u390c\u390d\5I%\2\u390d\u390e\5U+\2\u390e\u390f") buf.write("\5+\26\2\u390f\u3910\5=\37\2\u3910\u3911\5C\"\2\u3911") buf.write("\u3912\59\35\2\u3912\u3913\5U+\2\u3913\u3914\5M\'\2\u3914") buf.write("\u3915\5!\21\2\u3915\u3916\5S*\2\u3916\u3917\5!\21\2\u3917") buf.write("\u3918\5U+\2\u3918\u3919\5%\23\2\u3919\u391a\5/\30\2\u391a") buf.write("\u391b\5-\27\2\u391b\u5853\3\2\2\2\u391c\u391d\5U+\2\u391d") buf.write("\u391e\5)\25\2\u391e\u391f\5K&\2\u391f\u3920\5)\25\2\u3920") buf.write("\u3921\5;\36\2\u3921\u3922\5G$\2\u3922\u3923\5U+\2\u3923") buf.write("\u3924\5-\27\2\u3924\u3925\5)\25\2\u3925\u3926\5G$\2\u3926") buf.write("\u3927\5U+\2\u3927\u3928\5G$\2\u3928\u3929\5)\25\2\u3929") buf.write("\u392a\59\35\2\u392a\u392b\5=\37\2\u392b\u392c\5G$\2\u392c") buf.write("\u392d\5\61\31\2\u392d\u392e\5U+\2\u392e\u392f\5? \2\u392f") buf.write("\u3930\5=\37\2\u3930\u3931\5\65\33\2\u3931\u3932\5)\25") buf.write("\2\u3932\u3933\5U+\2\u3933\u3934\5%\23\2\u3934\u3935\5") buf.write("/\30\2\u3935\u3936\5\65\33\2\u3936\u3937\5U+\2\u3937\u3938") buf.write("\5-\27\2\u3938\u3939\5)\25\2\u3939\u393a\5G$\2\u393a\u393b") buf.write("\5U+\2\u393b\u393c\5? \2\u393c\u393d\5=\37\2\u393d\u393e") buf.write("\5E#\2\u393e\u5853\3\2\2\2\u393f\u3940\5U+\2\u3940\u3941") buf.write("\5G$\2\u3941\u3942\5I%\2\u3942\u3943\5C\"\2\u3943\u3944") buf.write("\5;\36\2\u3944\u3945\5U+\2\u3945\u3946\5/\30\2\u3946\u3947") buf.write("\5)\25\2\u3947\u3948\5C\"\2\u3948\u3949\5=\37\2\u3949") buf.write("\u394a\5U+\2\u394a\u394b\5G$\2\u394b\u394c\5!\21\2\u394c") buf.write("\u394d\5\67\34\2\u394d\u394e\5\65\33\2\u394e\u394f\5U") buf.write("+\2\u394f\u3950\5=\37\2\u3950\u3951\5#\22\2\u3951\u3952") buf.write("\5\63\32\2\u3952\u5853\3\2\2\2\u3953\u3954\5U+\2\u3954") buf.write("\u3955\5+\26\2\u3955\u3956\5!\21\2\u3956\u3957\5\'\24") buf.write("\2\u3957\u3958\5)\25\2\u3958\u3959\5U+\2\u3959\u395a\5") buf.write("E#\2\u395a\u395b\5? \2\u395b\u395c\5)\25\2\u395c\u395d") buf.write("\5)\25\2\u395d\u395e\5\'\24\2\u395e\u5853\3\2\2\2\u395f") buf.write("\u3960\5U+\2\u3960\u3961\5+\26\2\u3961\u3962\5!\21\2\u3962") buf.write("\u3963\5\'\24\2\u3963\u3964\5)\25\2\u3964\u3965\5U+\2") buf.write("\u3965\u3966\5#\22\2\u3966\u3967\5!\21\2\u3967\u3968\5") buf.write("\67\34\2\u3968\u3969\5\67\34\2\u3969\u5853\3\2\2\2\u396a") buf.write("\u396b\5U+\2\u396b\u396c\5+\26\2\u396c\u396d\5!\21\2\u396d") buf.write("\u396e\5\'\24\2\u396e\u396f\5)\25\2\u396f\u3970\5U+\2") buf.write("\u3970\u3971\5\'\24\2\u3971\u3972\5)\25\2\u3972\u3973") buf.write("\5+\26\2\u3973\u3974\5!\21\2\u3974\u3975\5I%\2\u3975\u3976") buf.write("\5\67\34\2\u3976\u3977\5G$\2\u3977\u5853\3\2\2\2\u3978") buf.write("\u3979\5U+\2\u3979\u397a\5\'\24\2\u397a\u397b\5=\37\2") buf.write("\u397b\u397c\5=\37\2\u397c\u397d\5C\"\2\u397d\u397e\5") buf.write("U+\2\u397e\u397f\5+\26\2\u397f\u3980\5=\37\2\u3980\u3981") buf.write("\5C\"\2\u3981\u3982\5%\23\2\u3982\u3983\5)\25\2\u3983") buf.write("\u3984\5U+\2\u3984\u3985\5!\21\2\u3985\u3986\5;\36\2\u3986") buf.write("\u3987\5\61\31\2\u3987\u3988\59\35\2\u3988\u3989\5)\25") buf.write("\2\u3989\u398a\5U+\2\u398a\u398b\5)\25\2\u398b\u398c\5") buf.write(";\36\2\u398c\u398d\5\'\24\2\u398d\u5853\3\2\2\2\u398e") buf.write("\u398f\5U+\2\u398f\u3990\5\67\34\2\u3990\u3991\5\'\24") buf.write("\2\u3991\u3992\5K&\2\u3992\u3993\5!\21\2\u3993\u3994\5") buf.write("\67\34\2\u3994\u3995\5U+\2\u3995\u3996\5K&\2\u3996\u3997") buf.write("\5)\25\2\u3997\u3998\5C\"\2\u3998\u3999\5E#\2\u3999\u399a") buf.write("\5\61\31\2\u399a\u399b\5=\37\2\u399b\u399c\5;\36\2\u399c") buf.write("\u5853\3\2\2\2\u399d\u399e\5U+\2\u399e\u399f\5\67\34\2") buf.write("\u399f\u39a0\5\'\24\2\u39a0\u39a1\5K&\2\u39a1\u39a2\5") buf.write("!\21\2\u39a2\u39a3\5\67\34\2\u39a3\u39a4\5U+\2\u39a4\u39a5") buf.write("\5E#\2\u39a5\u39a6\5)\25\2\u39a6\u39a7\5O(\2\u39a7\u5853") buf.write("\3\2\2\2\u39a8\u39a9\5U+\2\u39a9\u39aa\5G$\2\u39aa\u39ab") buf.write("\5K&\2\u39ab\u39ac\5U+\2\u39ac\u39ad\5)\25\2\u39ad\u39ae") buf.write("\5;\36\2\u39ae\u39af\5G$\2\u39af\u39b0\5C\"\2\u39b0\u39b1") buf.write("\5Q)\2\u39b1\u39b2\5U+\2\u39b2\u39b3\5? \2\u39b3\u39b4") buf.write("\5!\21\2\u39b4\u39b5\5C\"\2\u39b5\u39b6\5\65\33\2\u39b6") buf.write("\u39b7\5\61\31\2\u39b7\u39b8\5;\36\2\u39b8\u39b9\5+\26") buf.write("\2\u39b9\u39ba\5=\37\2\u39ba\u39bb\5U+\2\u39bb\u39bc\5") buf.write("\61\31\2\u39bc\u39bd\5;\36\2\u39bd\u39be\5\61\31\2\u39be") buf.write("\u39bf\5G$\2\u39bf\u5853\3\2\2\2\u39c0\u39c1\5U+\2\u39c1") buf.write("\u39c2\5G$\2\u39c2\u39c3\5K&\2\u39c3\u39c4\5U+\2\u39c4") buf.write("\u39c5\5)\25\2\u39c5\u39c6\5;\36\2\u39c6\u39c7\5G$\2\u39c7") buf.write("\u39c8\5C\"\2\u39c8\u39c9\5Q)\2\u39c9\u39ca\5U+\2\u39ca") buf.write("\u39cb\5? \2\u39cb\u39cc\5!\21\2\u39cc\u39cd\5C\"\2\u39cd") buf.write("\u39ce\5\65\33\2\u39ce\u39cf\5\61\31\2\u39cf\u39d0\5;") buf.write("\36\2\u39d0\u39d1\5+\26\2\u39d1\u39d2\5=\37\2\u39d2\u39d3") buf.write("\5U+\2\u39d3\u39d4\5\61\31\2\u39d4\u39d5\5G$\2\u39d5\u39d6") buf.write("\5)\25\2\u39d6\u39d7\59\35\2\u39d7\u5853\3\2\2\2\u39d8") buf.write("\u39d9\5U+\2\u39d9\u39da\5G$\2\u39da\u39db\5K&\2\u39db") buf.write("\u39dc\5U+\2\u39dc\u39dd\5)\25\2\u39dd\u39de\5;\36\2\u39de") buf.write("\u39df\5G$\2\u39df\u39e0\5C\"\2\u39e0\u39e1\5Q)\2\u39e1") buf.write("\u39e2\5U+\2\u39e2\u39e3\5? \2\u39e3\u39e4\5!\21\2\u39e4") buf.write("\u39e5\5C\"\2\u39e5\u39e6\5\65\33\2\u39e6\u39e7\5\61\31") buf.write("\2\u39e7\u39e8\5;\36\2\u39e8\u39e9\5+\26\2\u39e9\u39ea") buf.write("\5=\37\2\u39ea\u39eb\5U+\2\u39eb\u39ec\5!\21\2\u39ec\u39ed") buf.write("\5%\23\2\u39ed\u39ee\5%\23\2\u39ee\u39ef\5)\25\2\u39ef") buf.write("\u5853\3\2\2\2\u39f0\u39f1\5U+\2\u39f1\u39f2\5-\27\2\u39f2") buf.write("\u39f3\5C\"\2\u39f3\u39f4\5=\37\2\u39f4\u39f5\5I%\2\u39f5") buf.write("\u39f6\5? \2\u39f6\u39f7\5U+\2\u39f7\u39f8\5)\25\2\u39f8") buf.write("\u39f9\5O(\2\u39f9\u39fa\5\61\31\2\u39fa\u39fb\5E#\2\u39fb") buf.write("\u39fc\5G$\2\u39fc\u39fd\5U+\2\u39fd\u39fe\5%\23\2\u39fe") buf.write("\u39ff\5/\30\2\u39ff\u3a00\5)\25\2\u3a00\u3a01\5%\23\2") buf.write("\u3a01\u3a02\5\65\33\2\u3a02\u5853\3\2\2\2\u3a03\u3a04") buf.write("\5U+\2\u3a04\u3a05\5-\27\2\u3a05\u3a06\5C\"\2\u3a06\u3a07") buf.write("\5=\37\2\u3a07\u3a08\5I%\2\u3a08\u3a09\5? \2\u3a09\u3a0a") buf.write("\5U+\2\u3a0a\u3a0b\5)\25\2\u3a0b\u3a0c\5;\36\2\u3a0c\u3a0d") buf.write("\5G$\2\u3a0d\u3a0e\5C\"\2\u3a0e\u3a0f\5Q)\2\u3a0f\u3a10") 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buf.write("\2\u3bcd\u3bce\59\35\2\u3bce\u3bcf\5)\25\2\u3bcf\u3bd0") buf.write("\5U+\2\u3bd0\u3bd1\5M\'\2\u3bd1\u3bd2\5!\21\2\u3bd2\u3bd3") buf.write("\5\61\31\2\u3bd3\u3bd4\5G$\2\u3bd4\u5853\3\2\2\2\u3bd5") buf.write("\u3bd6\5U+\2\u3bd6\u3bd7\5\'\24\2\u3bd7\u3bd8\5)\25\2") buf.write("\u3bd8\u3bd9\5#\22\2\u3bd9\u3bda\5I%\2\u3bda\u3bdb\5-") buf.write("\27\2\u3bdb\u3bdc\5U+\2\u3bdc\u3bdd\5C\"\2\u3bdd\u3bde") buf.write("\5)\25\2\u3bde\u3bdf\5E#\2\u3bdf\u3be0\5)\25\2\u3be0\u3be1") buf.write("\5G$\2\u3be1\u3be2\5U+\2\u3be2\u3be3\5M\'\2\u3be3\u3be4") buf.write("\5=\37\2\u3be4\u3be5\5C\"\2\u3be5\u3be6\5\65\33\2\u3be6") buf.write("\u5853\3\2\2\2\u3be7\u3be8\5U+\2\u3be8\u3be9\5E#\2\u3be9") buf.write("\u3bea\5)\25\2\u3bea\u3beb\5G$\2\u3beb\u3bec\5U+\2\u3bec") buf.write("\u3bed\5E#\2\u3bed\u3bee\5Q)\2\u3bee\u3bef\5E#\2\u3bef") buf.write("\u3bf0\5U+\2\u3bf0\u3bf1\5+\26\2\u3bf1\u3bf2\5\67\34\2") buf.write("\u3bf2\u3bf3\5!\21\2\u3bf3\u3bf4\5-\27\2\u3bf4\u5853\3") buf.write("\2\2\2\u3bf5\u3bf6\5U+\2\u3bf6\u3bf7\5C\"\2\u3bf7\u3bf8") buf.write("\5)\25\2\u3bf8\u3bf9\5E#\2\u3bf9\u3bfa\5)\25\2\u3bfa\u3bfb") buf.write("\5G$\2\u3bfb\u3bfc\5U+\2\u3bfc\u3bfd\5E#\2\u3bfd\u3bfe") buf.write("\5Q)\2\u3bfe\u3bff\5E#\2\u3bff\u3c00\5U+\2\u3c00\u3c01") buf.write("\5+\26\2\u3c01\u3c02\5\67\34\2\u3c02\u3c03\5!\21\2\u3c03") buf.write("\u3c04\5-\27\2\u3c04\u5853\3\2\2\2\u3c05\u3c06\5U+\2\u3c06") buf.write("\u3c07\5%\23\2\u3c07\u3c08\5!\21\2\u3c08\u3c09\59\35\2") buf.write("\u3c09\u3c0a\5)\25\2\u3c0a\u3c0b\5C\"\2\u3c0b\u3c0c\5") buf.write("!\21\2\u3c0c\u3c0d\5U+\2\u3c0d\u3c0e\5E#\2\u3c0e\u3c0f") buf.write("\5)\25\2\u3c0f\u3c10\5G$\2\u3c10\u3c11\5U+\2\u3c11\u3c12") buf.write("\5%\23\2\u3c12\u3c13\5=\37\2\u3c13\u3c14\5E#\2\u3c14\u3c15") buf.write("\5U+\2\u3c15\u3c16\5!\21\2\u3c16\u3c17\5;\36\2\u3c17\u3c18") buf.write("\5-\27\2\u3c18\u3c19\5\67\34\2\u3c19\u3c1a\5)\25\2\u3c1a") buf.write("\u5853\3\2\2\2\u3c1b\u3c1c\5U+\2\u3c1c\u3c1d\5%\23\2\u3c1d") buf.write("\u3c1e\5!\21\2\u3c1e\u3c1f\59\35\2\u3c1f\u3c20\5)\25\2") buf.write("\u3c20\u3c21\5C\"\2\u3c21\u3c22\5!\21\2\u3c22\u3c23\5") buf.write("U+\2\u3c23\u3c24\5%\23\2\u3c24\u3c25\5=\37\2\u3c25\u3c26") buf.write("\5E#\2\u3c26\u3c27\5U+\2\u3c27\u3c28\5!\21\2\u3c28\u3c29") buf.write("\5;\36\2\u3c29\u3c2a\5-\27\2\u3c2a\u3c2b\5\67\34\2\u3c2b") buf.write("\u3c2c\5)\25\2\u3c2c\u3c2d\5U+\2\u3c2d\u3c2e\5M\'\2\u3c2e") buf.write("\u3c2f\5!\21\2\u3c2f\u3c30\5\61\31\2\u3c30\u3c31\5G$\2") buf.write("\u3c31\u5853\3\2\2\2\u3c32\u3c33\5U+\2\u3c33\u3c34\5/") buf.write("\30\2\u3c34\u3c35\5)\25\2\u3c35\u3c36\5C\"\2\u3c36\u3c37") buf.write("\5=\37\2\u3c37\u3c38\5U+\2\u3c38\u3c39\59\35\2\u3c39\u3c3a") buf.write("\5=\37\2\u3c3a\u3c3b\5K&\2\u3c3b\u3c3c\5)\25\2\u3c3c\u3c3d") buf.write("\5U+\2\u3c3d\u3c3e\5-\27\2\u3c3e\u3c3f\5C\"\2\u3c3f\u3c40") buf.write("\5\61\31\2\u3c40\u3c41\5\'\24\2\u3c41\u3c42\5U+\2\u3c42") buf.write("\u3c43\5%\23\2\u3c43\u3c44\5)\25\2\u3c44\u3c45\5;\36\2") buf.write("\u3c45\u3c46\5G$\2\u3c46\u3c47\5)\25\2\u3c47\u3c48\5C") buf.write("\"\2\u3c48\u3c49\5U+\2\u3c49\u3c4a\5+\26\2\u3c4a\u3c4b") buf.write("\5C\"\2\u3c4b\u3c4c\5=\37\2\u3c4c\u3c4d\5;\36\2\u3c4d") buf.write("\u3c4e\5G$\2\u3c4e\u5853\3\2\2\2\u3c4f\u3c50\5U+\2\u3c50") buf.write("\u3c51\5M\'\2\u3c51\u3c52\5!\21\2\u3c52\u3c53\5C\"\2\u3c53") buf.write("\u3c54\5? \2\u3c54\u3c55\5U+\2\u3c55\u3c56\5)\25\2\u3c56") buf.write("\u3c57\5;\36\2\u3c57\u3c58\5!\21\2\u3c58\u3c59\5#\22\2") buf.write("\u3c59\u3c5a\5\67\34\2\u3c5a\u3c5b\5)\25\2\u3c5b\u3c5c") buf.write("\5U+\2\u3c5c\u3c5d\5E#\2\u3c5d\u3c5e\5)\25\2\u3c5e\u3c5f") buf.write("\5G$\2\u3c5f\u5853\3\2\2\2\u3c60\u3c61\5U+\2\u3c61\u3c62") buf.write("\5\'\24\2\u3c62\u3c63\5=\37\2\u3c63\u3c64\5=\37\2\u3c64") buf.write("\u3c65\5C\"\2\u3c65\u3c66\5U+\2\u3c66\u3c67\5)\25\2\u3c67") buf.write("\u3c68\5;\36\2\u3c68\u3c69\5!\21\2\u3c69\u3c6a\5#\22\2") buf.write("\u3c6a\u3c6b\5\67\34\2\u3c6b\u3c6c\5)\25\2\u3c6c\u3c6d") buf.write("\5U+\2\u3c6d\u3c6e\5E#\2\u3c6e\u3c6f\5)\25\2\u3c6f\u3c70") buf.write("\5G$\2\u3c70\u5853\3\2\2\2\u3c71\u3c72\5U+\2\u3c72\u3c73") buf.write("\5!\21\2\u3c73\u3c74\5%\23\2\u3c74\u3c75\5U+\2\u3c75\u3c76") buf.write("\5!\21\2\u3c76\u3c77\5;\36\2\u3c77\u3c78\5\61\31\2\u3c78") buf.write("\u3c79\59\35\2\u3c79\u3c7a\5U+\2\u3c7a\u3c7b\5\67\34\2") buf.write("\u3c7b\u3c7c\5=\37\2\u3c7c\u3c7d\5%\23\2\u3c7d\u3c7e\5") buf.write("\65\33\2\u3c7e\u5853\3\2\2\2\u3c7f\u3c80\5U+\2\u3c80\u3c81") buf.write("\5!\21\2\u3c81\u3c82\5%\23\2\u3c82\u3c83\5U+\2\u3c83\u3c84") buf.write("\5!\21\2\u3c84\u3c85\5;\36\2\u3c85\u3c86\5\61\31\2\u3c86") buf.write("\u3c87\59\35\2\u3c87\u3c88\5U+\2\u3c88\u3c89\5C\"\2\u3c89") buf.write("\u3c8a\5)\25\2\u3c8a\u3c8b\5\67\34\2\u3c8b\u3c8c\5)\25") buf.write("\2\u3c8c\u3c8d\5!\21\2\u3c8d\u3c8e\5E#\2\u3c8e\u3c8f\5") buf.write(")\25\2\u3c8f\u5853\3\2\2\2\u3c90\u3c91\5U+\2\u3c91\u3c92") buf.write("\5E#\2\u3c92\u3c93\5)\25\2\u3c93\u3c94\5G$\2\u3c94\u3c95") buf.write("\5U+\2\u3c95\u3c96\5=\37\2\u3c96\u3c97\5+\26\2\u3c97\u3c98") buf.write("\5+\26\2\u3c98\u3c99\5E#\2\u3c99\u3c9a\5)\25\2\u3c9a\u3c9b") buf.write("\5G$\2\u3c9b\u5853\3\2\2\2\u3c9c\u3c9d\5U+\2\u3c9d\u3c9e") buf.write("\5=\37\2\u3c9e\u3c9f\5+\26\2\u3c9f\u3ca0\5+\26\2\u3ca0") buf.write("\u3ca1\5E#\2\u3ca1\u3ca2\5)\25\2\u3ca2\u3ca3\5G$\2\u3ca3") buf.write("\u3ca4\5U+\2\u3ca4\u3ca5\5M\'\2\u3ca5\u3ca6\5!\21\2\u3ca6") buf.write("\u3ca7\5\61\31\2\u3ca7\u3ca8\5G$\2\u3ca8\u5853\3\2\2\2") buf.write("\u3ca9\u3caa\5U+\2\u3caa\u3cab\5;\36\2\u3cab\u3cac\5!") buf.write("\21\2\u3cac\u3cad\59\35\2\u3cad\u3cae\5\61\31\2\u3cae") buf.write("\u3caf\5;\36\2\u3caf\u3cb0\5=\37\2\u3cb0\u3cb1\5C\"\2") buf.write("\u3cb1\u3cb2\5\61\31\2\u3cb2\u3cb3\5U+\2\u3cb3\u3cb4\5") buf.write(")\25\2\u3cb4\u3cb5\5;\36\2\u3cb5\u3cb6\5\'\24\2\u3cb6") buf.write("\u5853\3\2\2\2\u3cb7\u3cb8\5U+\2\u3cb8\u3cb9\5G$\2\u3cb9") buf.write("\u3cba\5!\21\2\u3cba\u3cbb\5\65\33\2\u3cbb\u3cbc\5\61") buf.write("\31\2\u3cbc\u3cbd\5\65\33\2\u3cbd\u3cbe\5I%\2\u3cbe\u3cbf") buf.write("\5\'\24\2\u3cbf\u3cc0\5!\21\2\u3cc0\u3cc1\5C\"\2\u3cc1") buf.write("\u3cc2\5\61\31\2\u3cc2\u5853\3\2\2\2\u3cc3\u3cc4\5U+\2") buf.write("\u3cc4\u3cc5\5\65\33\2\u3cc5\u3cc6\5!\21\2\u3cc6\u3cc7") buf.write("\5#\22\2\u3cc7\u3cc8\5)\25\2\u3cc8\u3cc9\5;\36\2\u3cc9") buf.write("\u3cca\5=\37\2\u3cca\u3ccb\5#\22\2\u3ccb\u3ccc\5=\37\2") buf.write("\u3ccc\u3ccd\5C\"\2\u3ccd\u3cce\5\61\31\2\u3cce\u3ccf") buf.write("\5U+\2\u3ccf\u3cd0\5%\23\2\u3cd0\u3cd1\5/\30\2\u3cd1\u3cd2") buf.write("\5)\25\2\u3cd2\u3cd3\5%\23\2\u3cd3\u3cd4\5\65\33\2\u3cd4") buf.write("\u5853\3\2\2\2\u3cd5\u3cd6\5U+\2\u3cd6\u3cd7\5G$\2\u3cd7") buf.write("\u3cd8\5!\21\2\u3cd8\u3cd9\5\67\34\2\u3cd9\u3cda\5\65") buf.write("\33\2\u3cda\u3cdb\5U+\2\u3cdb\u3cdc\5? \2\u3cdc\u3cdd") buf.write("\5=\37\2\u3cdd\u3cde\5\65\33\2\u3cde\u3cdf\5)\25\2\u3cdf") buf.write("\u3ce0\5U+\2\u3ce0\u3ce1\5-\27\2\u3ce1\u3ce2\5)\25\2\u3ce2") buf.write("\u3ce3\5G$\2\u3ce3\u3ce4\5U+\2\u3ce4\u3ce5\5G$\2\u3ce5") buf.write("\u3ce6\5)\25\2\u3ce6\u3ce7\59\35\2\u3ce7\u3ce8\5=\37\2") buf.write("\u3ce8\u3ce9\5G$\2\u3ce9\u3cea\5\61\31\2\u3cea\u3ceb\5") buf.write("U+\2\u3ceb\u3cec\5\61\31\2\u3cec\u3ced\5;\36\2\u3ced\u3cee") buf.write("\5\'\24\2\u3cee\u3cef\5)\25\2\u3cef\u3cf0\5O(\2\u3cf0") buf.write("\u5853\3\2\2\2\u3cf1\u3cf2\5U+\2\u3cf2\u3cf3\5;\36\2\u3cf3") buf.write("\u3cf4\5!\21\2\u3cf4\u3cf5\5G$\2\u3cf5\u3cf6\5I%\2\u3cf6") buf.write("\u3cf7\5C\"\2\u3cf7\u3cf8\5!\21\2\u3cf8\u3cf9\5\67\34") buf.write("\2\u3cf9\u3cfa\5U+\2\u3cfa\u3cfb\5? \2\u3cfb\u3cfc\5!") buf.write("\21\2\u3cfc\u3cfd\5C\"\2\u3cfd\u3cfe\5\65\33\2\u3cfe\u3cff") buf.write("\5U+\2\u3cff\u3d00\5-\27\2\u3d00\u3d01\5)\25\2\u3d01\u3d02") buf.write("\5G$\2\u3d02\u3d03\5U+\2\u3d03\u3d04\59\35\2\u3d04\u3d05") buf.write("\5=\37\2\u3d05\u3d06\5;\36\2\u3d06\u3d07\5=\37\2\u3d07") buf.write("\u3d08\5/\30\2\u3d08\u3d09\5\61\31\2\u3d09\u3d0a\5C\"") buf.write("\2\u3d0a\u3d0b\5=\37\2\u3d0b\u3d0c\5\61\31\2\u3d0c\u3d0d") buf.write("\5U+\2\u3d0d\u3d0e\5\61\31\2\u3d0e\u3d0f\5G$\2\u3d0f\u3d10") buf.write("\5)\25\2\u3d10\u3d11\59\35\2\u3d11\u3d12\5U+\2\u3d12\u3d13") buf.write("\5;\36\2\u3d13\u3d14\5=\37\2\u3d14\u5853\3\2\2\2\u3d15") buf.write("\u3d16\5U+\2\u3d16\u3d17\5%\23\2\u3d17\u3d18\5=\37\2\u3d18") buf.write("\u3d19\5;\36\2\u3d19\u3d1a\5U+\2\u3d1a\u3d1b\5=\37\2\u3d1b") buf.write("\u3d1c\5? \2\u3d1c\u3d1d\5)\25\2\u3d1d\u3d1e\5;\36\2\u3d1e") buf.write("\u3d1f\5U+\2\u3d1f\u3d20\5? \2\u3d20\u3d21\5=\37\2\u3d21") buf.write("\u3d22\5\65\33\2\u3d22\u3d23\5)\25\2\u3d23\u3d24\5U+\2") buf.write("\u3d24\u3d25\5E#\2\u3d25\u3d26\5)\25\2\u3d26\u3d27\5\67") buf.write("\34\2\u3d27\u3d28\5)\25\2\u3d28\u3d29\5%\23\2\u3d29\u3d2a") buf.write("\5G$\2\u3d2a\u3d2b\5U+\2\u3d2b\u3d2c\59\35\2\u3d2c\u3d2d") buf.write("\5)\25\2\u3d2d\u3d2e\5;\36\2\u3d2e\u3d2f\5I%\2\u3d2f\u5853") buf.write("\3\2\2\2\u3d30\u3d31\5U+\2\u3d31\u3d32\5%\23\2\u3d32\u3d33") buf.write("\5=\37\2\u3d33\u3d34\5;\36\2\u3d34\u3d35\5U+\2\u3d35\u3d36") buf.write("\5=\37\2\u3d36\u3d37\5? \2\u3d37\u3d38\5)\25\2\u3d38\u3d39") buf.write("\5;\36\2\u3d39\u3d3a\5U+\2\u3d3a\u3d3b\5%\23\2\u3d3b\u3d3c") buf.write("\5!\21\2\u3d3c\u3d3d\5? \2\u3d3d\u3d3e\5E#\2\u3d3e\u3d3f") buf.write("\5I%\2\u3d3f\u3d40\5\67\34\2\u3d40\u3d41\5)\25\2\u3d41") buf.write("\u3d42\5U+\2\u3d42\u3d43\5E#\2\u3d43\u3d44\5)\25\2\u3d44") buf.write("\u3d45\5\67\34\2\u3d45\u3d46\5)\25\2\u3d46\u3d47\5%\23") buf.write("\2\u3d47\u3d48\5G$\2\u3d48\u3d49\5U+\2\u3d49\u3d4a\59") buf.write("\35\2\u3d4a\u3d4b\5)\25\2\u3d4b\u3d4c\5;\36\2\u3d4c\u3d4d") buf.write("\5I%\2\u3d4d\u5853\3\2\2\2\u3d4e\u3d4f\5U+\2\u3d4f\u3d50") buf.write("\5%\23\2\u3d50\u3d51\5=\37\2\u3d51\u3d52\5;\36\2\u3d52") buf.write("\u3d53\5U+\2\u3d53\u3d54\5=\37\2\u3d54\u3d55\5? \2\u3d55") buf.write("\u3d56\5)\25\2\u3d56\u3d57\5;\36\2\u3d57\u3d58\5U+\2\u3d58") buf.write("\u3d59\5#\22\2\u3d59\u3d5a\5=\37\2\u3d5a\u3d5b\5I%\2\u3d5b") buf.write("\u3d5c\5G$\2\u3d5c\u3d5d\5\61\31\2\u3d5d\u3d5e\5A!\2\u3d5e") buf.write("\u3d5f\5I%\2\u3d5f\u3d60\5)\25\2\u3d60\u3d61\5U+\2\u3d61") buf.write("\u3d62\5E#\2\u3d62\u3d63\5)\25\2\u3d63\u3d64\5\67\34\2") buf.write("\u3d64\u3d65\5)\25\2\u3d65\u3d66\5%\23\2\u3d66\u3d67\5") buf.write("G$\2\u3d67\u3d68\5U+\2\u3d68\u3d69\59\35\2\u3d69\u3d6a") buf.write("\5)\25\2\u3d6a\u3d6b\5;\36\2\u3d6b\u3d6c\5I%\2\u3d6c\u5853") buf.write("\3\2\2\2\u3d6d\u3d6e\5U+\2\u3d6e\u3d6f\5%\23\2\u3d6f\u3d70") buf.write("\5=\37\2\u3d70\u3d71\5;\36\2\u3d71\u3d72\5U+\2\u3d72\u3d73") buf.write("\5M\'\2\u3d73\u3d74\5!\21\2\u3d74\u3d75\5\61\31\2\u3d75") buf.write("\u3d76\5G$\2\u3d76\u3d77\5U+\2\u3d77\u3d78\5%\23\2\u3d78") buf.write("\u3d79\5=\37\2\u3d79\u3d7a\5;\36\2\u3d7a\u3d7b\5G$\2\u3d7b") buf.write("\u3d7c\5)\25\2\u3d7c\u3d7d\5E#\2\u3d7d\u3d7e\5G$\2\u3d7e") buf.write("\u3d7f\5U+\2\u3d7f\u3d80\59\35\2\u3d80\u3d81\5)\25\2\u3d81") buf.write("\u3d82\5;\36\2\u3d82\u3d83\5I%\2\u3d83\u5853\3\2\2\2\u3d84") buf.write("\u3d85\5U+\2\u3d85\u3d86\5%\23\2\u3d86\u3d87\5=\37\2\u3d87") buf.write("\u3d88\5;\36\2\u3d88\u3d89\5U+\2\u3d89\u3d8a\59\35\2\u3d8a") buf.write("\u3d8b\5Q)\2\u3d8b\u3d8c\5U+\2\u3d8c\u3d8d\5)\25\2\u3d8d") buf.write("\u3d8e\5;\36\2\u3d8e\u3d8f\5G$\2\u3d8f\u3d90\5C\"\2\u3d90") buf.write("\u3d91\5Q)\2\u3d91\u3d92\5U+\2\u3d92\u3d93\5;\36\2\u3d93") buf.write("\u3d94\5=\37\2\u3d94\u3d95\5U+\2\u3d95\u3d96\5M\'\2\u3d96") buf.write("\u3d97\5=\37\2\u3d97\u3d98\5C\"\2\u3d98\u3d99\5\'\24\2") buf.write("\u3d99\u3d9a\5U+\2\u3d9a\u3d9b\5E#\2\u3d9b\u3d9c\5)\25") buf.write("\2\u3d9c\u3d9d\5G$\2\u3d9d\u5853\3\2\2\2\u3d9e\u3d9f\5") buf.write("U+\2\u3d9f\u3da0\5%\23\2\u3da0\u3da1\5=\37\2\u3da1\u3da2") buf.write("\5;\36\2\u3da2\u3da3\5U+\2\u3da3\u3da4\5#\22\2\u3da4\u3da5") buf.write("\5)\25\2\u3da5\u3da6\5E#\2\u3da6\u3da7\5G$\2\u3da7\u3da8") buf.write("\5U+\2\u3da8\u3da9\5? \2\u3da9\u3daa\5)\25\2\u3daa\u3dab") buf.write("\5C\"\2\u3dab\u3dac\5+\26\2\u3dac\u3dad\5=\37\2\u3dad") buf.write("\u3dae\5C\"\2\u3dae\u3daf\59\35\2\u3daf\u3db0\5)\25\2") buf.write("\u3db0\u3db1\5C\"\2\u3db1\u3db2\5U+\2\u3db2\u3db3\5%\23") buf.write("\2\u3db3\u3db4\5/\30\2\u3db4\u3db5\5)\25\2\u3db5\u3db6") buf.write("\5%\23\2\u3db6\u3db7\5\65\33\2\u3db7\u5853\3\2\2\2\u3db8") buf.write("\u3db9\5U+\2\u3db9\u3dba\5%\23\2\u3dba\u3dbb\5=\37\2\u3dbb") buf.write("\u3dbc\5;\36\2\u3dbc\u3dbd\5U+\2\u3dbd\u3dbe\5%\23\2\u3dbe") buf.write("\u3dbf\5!\21\2\u3dbf\u3dc0\5G$\2\u3dc0\u3dc1\5)\25\2\u3dc1") buf.write("\u3dc2\5-\27\2\u3dc2\u3dc3\5=\37\2\u3dc3\u3dc4\5C\"\2") buf.write("\u3dc4\u3dc5\5Q)\2\u3dc5\u3dc6\5U+\2\u3dc6\u3dc7\5C\"") buf.write("\2\u3dc7\u3dc8\5\61\31\2\u3dc8\u3dc9\5#\22\2\u3dc9\u3dca") buf.write("\5#\22\2\u3dca\u3dcb\5=\37\2\u3dcb\u3dcc\5;\36\2\u3dcc") buf.write("\u3dcd\5U+\2\u3dcd\u3dce\5;\36\2\u3dce\u3dcf\5!\21\2\u3dcf") buf.write("\u3dd0\59\35\2\u3dd0\u3dd1\5)\25\2\u3dd1\u3dd2\5U+\2\u3dd2") buf.write("\u3dd3\5E#\2\u3dd3\u3dd4\5)\25\2\u3dd4\u3dd5\5G$\2\u3dd5") buf.write("\u5853\3\2\2\2\u3dd6\u3dd7\5U+\2\u3dd7\u3dd8\5%\23\2\u3dd8") buf.write("\u3dd9\5=\37\2\u3dd9\u3dda\5;\36\2\u3dda\u3ddb\5U+\2\u3ddb") buf.write("\u3ddc\5/\30\2\u3ddc\u3ddd\5!\21\2\u3ddd\u3dde\5K&\2\u3dde") buf.write("\u3ddf\5)\25\2\u3ddf\u3de0\5U+\2\u3de0\u3de1\5%\23\2\u3de1") buf.write("\u3de2\5=\37\2\u3de2\u3de3\5;\36\2\u3de3\u3de4\5G$\2\u3de4") buf.write("\u3de5\5)\25\2\u3de5\u3de6\5E#\2\u3de6\u3de7\5G$\2\u3de7") buf.write("\u3de8\5U+\2\u3de8\u3de9\5E#\2\u3de9\u3dea\5G$\2\u3dea") buf.write("\u3deb\5!\21\2\u3deb\u3dec\5C\"\2\u3dec\u3ded\5U+\2\u3ded") buf.write("\u3dee\5%\23\2\u3dee\u3def\5/\30\2\u3def\u3df0\5)\25\2") buf.write("\u3df0\u3df1\5%\23\2\u3df1\u3df2\5\65\33\2\u3df2\u5853") buf.write("\3\2\2\2\u3df3\u3df4\5U+\2\u3df4\u3df5\5%\23\2\u3df5\u3df6") buf.write("\5=\37\2\u3df6\u3df7\5;\36\2\u3df7\u3df8\5U+\2\u3df8\u3df9") buf.write("\5%\23\2\u3df9\u3dfa\5=\37\2\u3dfa\u3dfb\5;\36\2\u3dfb") buf.write("\u3dfc\5G$\2\u3dfc\u3dfd\5)\25\2\u3dfd\u3dfe\5E#\2\u3dfe") buf.write("\u3dff\5G$\2\u3dff\u3e00\5U+\2\u3e00\u3e01\5E#\2\u3e01") buf.write("\u3e02\5G$\2\u3e02\u3e03\5!\21\2\u3e03\u3e04\5C\"\2\u3e04") buf.write("\u3e05\5U+\2\u3e05\u3e06\5;\36\2\u3e06\u3e07\5!\21\2\u3e07") buf.write("\u3e08\59\35\2\u3e08\u3e09\5)\25\2\u3e09\u3e0a\5U+\2\u3e0a") buf.write("\u3e0b\5E#\2\u3e0b\u3e0c\5)\25\2\u3e0c\u3e0d\5G$\2\u3e0d") buf.write("\u5853\3\2\2\2\u3e0e\u3e0f\5U+\2\u3e0f\u3e10\5%\23\2\u3e10") buf.write("\u3e11\5=\37\2\u3e11\u3e12\5;\36\2\u3e12\u3e13\5U+\2\u3e13") buf.write("\u3e14\5C\"\2\u3e14\u3e15\5)\25\2\u3e15\u3e16\5M\'\2\u3e16") buf.write("\u3e17\5!\21\2\u3e17\u3e18\5C\"\2\u3e18\u3e19\5\'\24\2") buf.write("\u3e19\u3e1a\5U+\2\u3e1a\u3e1b\5;\36\2\u3e1b\u3e1c\5!") buf.write("\21\2\u3e1c\u3e1d\59\35\2\u3e1d\u3e1e\5)\25\2\u3e1e\u3e1f") buf.write("\5U+\2\u3e1f\u3e20\5E#\2\u3e20\u3e21\5)\25\2\u3e21\u3e22") buf.write("\5G$\2\u3e22\u5853\3\2\2\2\u3e23\u3e24\5U+\2\u3e24\u3e25") buf.write("\5=\37\2\u3e25\u3e26\5#\22\2\u3e26\u3e27\5\63\32\2\u3e27") buf.write("\u3e28\5U+\2\u3e28\u3e29\5!\21\2\u3e29\u3e2a\5;\36\2\u3e2a") buf.write("\u3e2b\5\61\31\2\u3e2b\u3e2c\59\35\2\u3e2c\u3e2d\5)\25") buf.write("\2\u3e2d\u3e2e\5U+\2\u3e2e\u3e2f\5+\26\2\u3e2f\u3e30\5") buf.write("I%\2\u3e30\u3e31\5C\"\2\u3e31\u3e32\5)\25\2\u3e32\u3e33") buf.write("\5!\21\2\u3e33\u3e34\5\61\31\2\u3e34\u5853\3\2\2\2\u3e35") buf.write("\u3e36\5U+\2\u3e36\u3e37\5!\21\2\u3e37\u3e38\5%\23\2\u3e38") buf.write("\u3e39\5U+\2\u3e39\u3e3a\59\35\2\u3e3a\u3e3b\5!\21\2\u3e3b") buf.write("\u3e3c\5C\"\2\u3e3c\u3e3d\5\65\33\2\u3e3d\u3e3e\5U+\2") buf.write("\u3e3e\u3e3f\5)\25\2\u3e3f\u3e40\59\35\2\u3e40\u3e41\5") buf.write("=\37\2\u3e41\u5853\3\2\2\2\u3e42\u3e43\5U+\2\u3e43\u3e44") buf.write("\5%\23\2\u3e44\u3e45\5=\37\2\u3e45\u3e46\5;\36\2\u3e46") buf.write("\u3e47\5U+\2\u3e47\u3e48\5%\23\2\u3e48\u3e49\5!\21\2\u3e49") buf.write("\u3e4a\5G$\2\u3e4a\u3e4b\5)\25\2\u3e4b\u3e4c\5-\27\2\u3e4c") buf.write("\u3e4d\5=\37\2\u3e4d\u3e4e\5C\"\2\u3e4e\u3e4f\5Q)\2\u3e4f") buf.write("\u3e50\5U+\2\u3e50\u3e51\5!\21\2\u3e51\u3e52\5;\36\2\u3e52") buf.write("\u3e53\5\'\24\2\u3e53\u3e54\5U+\2\u3e54\u3e55\5C\"\2\u3e55") buf.write("\u3e56\5!\21\2\u3e56\u3e57\5;\36\2\u3e57\u3e58\5\65\33") buf.write("\2\u3e58\u3e59\5U+\2\u3e59\u3e5a\5E#\2\u3e5a\u3e5b\5)") buf.write("\25\2\u3e5b\u3e5c\5G$\2\u3e5c\u5853\3\2\2\2\u3e5d\u3e5e") buf.write("\5U+\2\u3e5e\u3e5f\5%\23\2\u3e5f\u3e60\5=\37\2\u3e60\u3e61") buf.write("\5;\36\2\u3e61\u3e62\5U+\2\u3e62\u3e63\5C\"\2\u3e63\u3e64") buf.write("\5!\21\2\u3e64\u3e65\5;\36\2\u3e65\u3e66\5\65\33\2\u3e66") buf.write("\u3e67\5U+\2\u3e67\u3e68\5E#\2\u3e68\u3e69\5)\25\2\u3e69") buf.write("\u3e6a\5G$\2\u3e6a\u5853\3\2\2\2\u3e6b\u3e6c\5U+\2\u3e6c") buf.write("\u3e6d\5;\36\2\u3e6d\u3e6e\5!\21\2\u3e6e\u3e6f\5G$\2\u3e6f") buf.write("\u3e70\5I%\2\u3e70\u3e71\5C\"\2\u3e71\u3e72\5!\21\2\u3e72") buf.write("\u3e73\5\67\34\2\u3e73\u3e74\5U+\2\u3e74\u3e75\5? \2\u3e75") buf.write("\u3e76\5!\21\2\u3e76\u3e77\5C\"\2\u3e77\u3e78\5\65\33") buf.write("\2\u3e78\u3e79\5U+\2\u3e79\u3e7a\5? \2\u3e7a\u3e7b\5=") buf.write("\37\2\u3e7b\u3e7c\5\65\33\2\u3e7c\u3e7d\5)\25\2\u3e7d") buf.write("\u3e7e\5U+\2\u3e7e\u3e7f\5%\23\2\u3e7f\u3e80\5C\"\2\u3e80") buf.write("\u3e81\5)\25\2\u3e81\u3e82\5!\21\2\u3e82\u3e83\5G$\2\u3e83") buf.write("\u3e84\5)\25\2\u3e84\u5853\3\2\2\2\u3e85\u3e86\5U+\2\u3e86") buf.write("\u3e87\5;\36\2\u3e87\u3e88\5!\21\2\u3e88\u3e89\5G$\2\u3e89") buf.write("\u3e8a\5I%\2\u3e8a\u3e8b\5C\"\2\u3e8b\u3e8c\5!\21\2\u3e8c") buf.write("\u3e8d\5\67\34\2\u3e8d\u3e8e\5U+\2\u3e8e\u3e8f\5? \2\u3e8f") buf.write("\u3e90\5!\21\2\u3e90\u3e91\5C\"\2\u3e91\u3e92\5\65\33") buf.write("\2\u3e92\u3e93\5U+\2\u3e93\u3e94\5? \2\u3e94\u3e95\5=") buf.write("\37\2\u3e95\u3e96\5\65\33\2\u3e96\u3e97\5)\25\2\u3e97") buf.write("\u3e98\5U+\2\u3e98\u3e99\5\65\33\2\u3e99\u3e9a\5!\21\2") buf.write("\u3e9a\u3e9b\5\61\31\2\u3e9b\u3e9c\5E#\2\u3e9c\u3e9d\5") buf.write("!\21\2\u3e9d\u3e9e\5;\36\2\u3e9e\u5853\3\2\2\2\u3e9f\u3ea0") 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buf.write("\u3f90\5M\'\2\u3f90\u3f91\5U+\2\u3f91\u3f92\5%\23\2\u3f92") buf.write("\u3f93\5=\37\2\u3f93\u3f94\5;\36\2\u3f94\u3f95\5U+\2\u3f95") buf.write("\u3f96\5%\23\2\u3f96\u3f97\5/\30\2\u3f97\u3f98\5)\25\2") buf.write("\u3f98\u3f99\5%\23\2\u3f99\u3f9a\5\65\33\2\u3f9a\u3f9b") buf.write("\5U+\2\u3f9b\u3f9c\5? \2\u3f9c\u3f9d\5C\"\2\u3f9d\u3f9e") buf.write("\5=\37\2\u3f9e\u3f9f\5%\23\2\u3f9f\u5853\3\2\2\2\u3fa0") buf.write("\u3fa1\5U+\2\u3fa1\u3fa2\59\35\2\u3fa2\u3fa3\5=\37\2\u3fa3") buf.write("\u3fa4\5K&\2\u3fa4\u3fa5\5)\25\2\u3fa5\u3fa6\5U+\2\u3fa6") buf.write("\u3fa7\5%\23\2\u3fa7\u3fa8\5=\37\2\u3fa8\u3fa9\59\35\2") buf.write("\u3fa9\u3faa\5#\22\2\u3faa\u3fab\5!\21\2\u3fab\u3fac\5") buf.write("G$\2\u3fac\u3fad\5U+\2\u3fad\u3fae\5-\27\2\u3fae\u3faf") buf.write("\5Q)\2\u3faf\u3fb0\59\35\2\u3fb0\u3fb1\5U+\2\u3fb1\u3fb2") buf.write("\5M\'\2\u3fb2\u3fb3\5!\21\2\u3fb3\u3fb4\5\67\34\2\u3fb4") buf.write("\u3fb5\5\67\34\2\u3fb5\u5853\3\2\2\2\u3fb6\u3fb7\5U+\2") buf.write("\u3fb7\u3fb8\5)\25\2\u3fb8\u3fb9\5K&\2\u3fb9\u3fba\5U") buf.write("+\2\u3fba\u3fbb\5)\25\2\u3fbb\u3fbc\5;\36\2\u3fbc\u3fbd") buf.write("\5G$\2\u3fbd\u3fbe\5\61\31\2\u3fbe\u3fbf\5G$\2\u3fbf\u3fc0") buf.write("\5Q)\2\u3fc0\u3fc1\5U+\2\u3fc1\u3fc2\5? \2\u3fc2\u3fc3") buf.write("\5\67\34\2\u3fc3\u3fc4\5!\21\2\u3fc4\u3fc5\5Q)\2\u3fc5") buf.write("\u3fc6\5)\25\2\u3fc6\u3fc7\5C\"\2\u3fc7\u3fc8\5U+\2\u3fc8") buf.write("\u3fc9\59\35\2\u3fc9\u3fca\5=\37\2\u3fca\u3fcb\5K&\2\u3fcb") buf.write("\u3fcc\5)\25\2\u3fcc\u3fcd\5U+\2\u3fcd\u3fce\5E#\2\u3fce") buf.write("\u3fcf\5G$\2\u3fcf\u3fd0\5!\21\2\u3fd0\u3fd1\5C\"\2\u3fd1") buf.write("\u3fd2\5G$\2\u3fd2\u5853\3\2\2\2\u3fd3\u3fd4\5U+\2\u3fd4") buf.write("\u3fd5\5)\25\2\u3fd5\u3fd6\5K&\2\u3fd6\u3fd7\5U+\2\u3fd7") buf.write("\u3fd8\5)\25\2\u3fd8\u3fd9\5;\36\2\u3fd9\u3fda\5G$\2\u3fda") buf.write("\u3fdb\5\61\31\2\u3fdb\u3fdc\5G$\2\u3fdc\u3fdd\5Q)\2\u3fdd") buf.write("\u3fde\5U+\2\u3fde\u3fdf\5? \2\u3fdf\u3fe0\5\67\34\2\u3fe0") buf.write("\u3fe1\5!\21\2\u3fe1\u3fe2\5Q)\2\u3fe2\u3fe3\5)\25\2\u3fe3") buf.write("\u3fe4\5C\"\2\u3fe4\u3fe5\5U+\2\u3fe5\u3fe6\59\35\2\u3fe6") buf.write("\u3fe7\5=\37\2\u3fe7\u3fe8\5K&\2\u3fe8\u3fe9\5)\25\2\u3fe9") buf.write("\u3fea\5U+\2\u3fea\u3feb\5)\25\2\u3feb\u3fec\5;\36\2\u3fec") buf.write("\u3fed\5\'\24\2\u3fed\u5853\3\2\2\2\u3fee\u3fef\5U+\2") buf.write("\u3fef\u3ff0\5)\25\2\u3ff0\u3ff1\5K&\2\u3ff1\u3ff2\5U") buf.write("+\2\u3ff2\u3ff3\5)\25\2\u3ff3\u3ff4\5;\36\2\u3ff4\u3ff5") buf.write("\5G$\2\u3ff5\u3ff6\5\61\31\2\u3ff6\u3ff7\5G$\2\u3ff7\u3ff8") buf.write("\5Q)\2\u3ff8\u3ff9\5U+\2\u3ff9\u3ffa\5? \2\u3ffa\u3ffb") buf.write("\5\67\34\2\u3ffb\u3ffc\5!\21\2\u3ffc\u3ffd\5Q)\2\u3ffd") buf.write("\u3ffe\5)\25\2\u3ffe\u3fff\5C\"\2\u3fff\u4000\5U+\2\u4000") buf.write("\u4001\59\35\2\u4001\u4002\5=\37\2\u4002\u4003\5K&\2\u4003") buf.write("\u4004\5)\25\2\u4004\u4005\5U+\2\u4005\u4006\5C\"\2\u4006") buf.write("\u4007\5)\25\2\u4007\u4008\5E#\2\u4008\u4009\5)\25\2\u4009") buf.write("\u400a\5G$\2\u400a\u5853\3\2\2\2\u400b\u400c\5U+\2\u400c") buf.write("\u400d\5%\23\2\u400d\u400e\5/\30\2\u400e\u400f\5)\25\2") buf.write("\u400f\u4010\5%\23\2\u4010\u4011\5\65\33\2\u4011\u4012") buf.write("\5U+\2\u4012\u4013\5%\23\2\u4013\u4014\5!\21\2\u4014\u4015") buf.write("\5;\36\2\u4015\u4016\5U+\2\u4016\u4017\5E#\2\u4017\u4018") buf.write("\5)\25\2\u4018\u4019\5)\25\2\u4019\u401a\5\'\24\2\u401a") buf.write("\u401b\5U+\2\u401b\u401c\5M\'\2\u401c\u401d\5!\21\2\u401d") buf.write("\u401e\5G$\2\u401e\u401f\5)\25\2\u401f\u4020\5C\"\2\u4020") buf.write("\u5853\3\2\2\2\u4021\u4022\5U+\2\u4022\u4023\5E#\2\u4023") buf.write("\u4024\5/\30\2\u4024\u4025\5=\37\2\u4025\u4026\5? \2\u4026") buf.write("\u4027\5U+\2\u4027\u4028\5=\37\2\u4028\u4029\5? \2\u4029") buf.write("\u402a\5)\25\2\u402a\u402b\5;\36\2\u402b\u402c\5U+\2\u402c") buf.write("\u402d\5+\26\2\u402d\u402e\5\61\31\2\u402e\u402f\5O(\2") buf.write("\u402f\u4030\5)\25\2\u4030\u4031\5\'\24\2\u4031\u5853") buf.write("\3\2\2\2\u4032\u4033\5U+\2\u4033\u4034\5E#\2\u4034\u4035") buf.write("\5/\30\2\u4035\u4036\5=\37\2\u4036\u4037\5? \2\u4037\u4038") buf.write("\5U+\2\u4038\u4039\5=\37\2\u4039\u403a\5? \2\u403a\u403b") buf.write("\5)\25\2\u403b\u403c\5;\36\2\u403c\u403d\5U+\2\u403d\u403e") buf.write("\5E#\2\u403e\u403f\5)\25\2\u403f\u4040\5!\21\2\u4040\u4041") buf.write("\5\67\34\2\u4041\u5853\3\2\2\2\u4042\u4043\5U+\2\u4043") buf.write("\u4044\5E#\2\u4044\u4045\5/\30\2\u4045\u4046\5=\37\2\u4046") buf.write("\u4047\5? \2\u4047\u4048\5U+\2\u4048\u4049\5=\37\2\u4049") buf.write("\u404a\5? \2\u404a\u404b\5)\25\2\u404b\u404c\5;\36\2\u404c") buf.write("\u404d\5U+\2\u404d\u404e\5#\22\2\u404e\u404f\5!\21\2\u404f") buf.write("\u4050\5G$\2\u4050\u4051\5G$\2\u4051\u4052\5\67\34\2\u4052") buf.write("\u4053\5)\25\2\u4053\u5853\3\2\2\2\u4054\u4055\5U+\2\u4055") buf.write("\u4056\5E#\2\u4056\u4057\5/\30\2\u4057\u4058\5=\37\2\u4058") buf.write("\u4059\5? \2\u4059\u405a\5U+\2\u405a\u405b\5=\37\2\u405b") buf.write("\u405c\5? \2\u405c\u405d\5)\25\2\u405d\u405e\5;\36\2\u405e") buf.write("\u405f\5U+\2\u405f\u4060\5+\26\2\u4060\u4061\5\67\34\2") buf.write("\u4061\u4062\5=\37\2\u4062\u4063\5M\'\2\u4063\u4064\5") buf.write(")\25\2\u4064\u4065\5C\"\2\u4065\u5853\3\2\2\2\u4066\u4067") buf.write("\5U+\2\u4067\u4068\5E#\2\u4068\u4069\5/\30\2\u4069\u406a") buf.write("\5=\37\2\u406a\u406b\5? \2\u406b\u406c\5U+\2\u406c\u406d") buf.write("\5=\37\2\u406d\u406e\5? \2\u406e\u406f\5)\25\2\u406f\u4070") buf.write("\5;\36\2\u4070\u4071\5U+\2\u4071\u4072\5=\37\2\u4072\u4073") buf.write("\5G$\2\u4073\u4074\5)\25\2\u4074\u4075\5;\36\2\u4075\u4076") buf.write("\5\65\33\2\u4076\u4077\5\61\31\2\u4077\u5853\3\2\2\2\u4078") buf.write("\u4079\5U+\2\u4079\u407a\5E#\2\u407a\u407b\5/\30\2\u407b") buf.write("\u407c\5=\37\2\u407c\u407d\5? \2\u407d\u407e\5U+\2\u407e") buf.write("\u407f\5=\37\2\u407f\u4080\5? \2\u4080\u4081\5)\25\2\u4081") buf.write("\u4082\5;\36\2\u4082\u4083\5U+\2\u4083\u4084\5E#\2\u4084") buf.write("\u4085\5)\25\2\u4085\u4086\5\67\34\2\u4086\u4087\5\67") buf.write("\34\2\u4087\u5853\3\2\2\2\u4088\u4089\5U+\2\u4089\u408a") buf.write("\5!\21\2\u408a\u408b\5%\23\2\u408b\u408c\5U+\2\u408c\u408d") buf.write("\5=\37\2\u408d\u408e\5+\26\2\u408e\u408f\5+\26\2\u408f") buf.write("\u4090\5E#\2\u4090\u4091\5)\25\2\u4091\u4092\5G$\2\u4092") buf.write("\u5853\3\2\2\2\u4093\u4094\5U+\2\u4094\u4095\5-\27\2\u4095") buf.write("\u4096\5)\25\2\u4096\u4097\5G$\2\u4097\u4098\5U+\2\u4098") buf.write("\u4099\5%\23\2\u4099\u409a\5=\37\2\u409a\u409b\5E#\2\u409b") buf.write("\u409c\5G$\2\u409c\u409d\5I%\2\u409d\u409e\59\35\2\u409e") buf.write("\u409f\5)\25\2\u409f\u5853\3\2\2\2\u40a0\u40a1\5U+\2\u40a1") buf.write("\u40a2\5E#\2\u40a2\u40a3\5/\30\2\u40a3\u40a4\5=\37\2\u40a4") buf.write("\u40a5\5? \2\u40a5\u40a6\5U+\2\u40a6\u40a7\5=\37\2\u40a7") buf.write("\u40a8\5? \2\u40a8\u40a9\5)\25\2\u40a9\u40aa\5;\36\2\u40aa") buf.write("\u40ab\5U+\2\u40ab\u40ac\5#\22\2\u40ac\u40ad\5=\37\2\u40ad") buf.write("\u40ae\5I%\2\u40ae\u40af\5G$\2\u40af\u40b0\5\61\31\2\u40b0") buf.write("\u40b1\5A!\2\u40b1\u40b2\5I%\2\u40b2\u40b3\5)\25\2\u40b3") buf.write("\u40b4\5U+\2\u40b4\u40b5\5#\22\2\u40b5\u40b6\5I%\2\u40b6") buf.write("\u40b7\5Q)\2\u40b7\u5853\3\2\2\2\u40b8\u40b9\5U+\2\u40b9") buf.write("\u40ba\5E#\2\u40ba\u40bb\5/\30\2\u40bb\u40bc\5=\37\2\u40bc") buf.write("\u40bd\5? \2\u40bd\u40be\5U+\2\u40be\u40bf\5=\37\2\u40bf") buf.write("\u40c0\5? \2\u40c0\u40c1\5)\25\2\u40c1\u40c2\5;\36\2\u40c2") buf.write("\u40c3\5U+\2\u40c3\u40c4\5#\22\2\u40c4\u40c5\5=\37\2\u40c5") buf.write("\u40c6\5I%\2\u40c6\u40c7\5G$\2\u40c7\u40c8\5\61\31\2\u40c8") buf.write("\u40c9\5A!\2\u40c9\u40ca\5I%\2\u40ca\u40cb\5)\25\2\u40cb") buf.write("\u40cc\5U+\2\u40cc\u40cd\5%\23\2\u40cd\u40ce\5/\30\2\u40ce") buf.write("\u40cf\5!\21\2\u40cf\u40d0\5;\36\2\u40d0\u40d1\5-\27\2") buf.write("\u40d1\u40d2\5)\25\2\u40d2\u5853\3\2\2\2\u40d3\u40d4\5") buf.write("U+\2\u40d4\u40d5\5%\23\2\u40d5\u40d6\5=\37\2\u40d6\u40d7") buf.write("\5;\36\2\u40d7\u40d8\5U+\2\u40d8\u40d9\5C\"\2\u40d9\u40da") buf.write("\5)\25\2\u40da\u40db\5M\'\2\u40db\u40dc\5!\21\2\u40dc") buf.write("\u40dd\5C\"\2\u40dd\u40de\5\'\24\2\u40de\u40df\5U+\2\u40df") buf.write("\u40e0\5E#\2\u40e0\u40e1\5/\30\2\u40e1\u40e2\5=\37\2\u40e2") buf.write("\u40e3\5M\'\2\u40e3\u40e4\59\35\2\u40e4\u40e5\5!\21\2") buf.write("\u40e5\u40e6\5E#\2\u40e6\u40e7\5G$\2\u40e7\u40e8\5)\25") buf.write("\2\u40e8\u40e9\5C\"\2\u40e9\u40ea\5U+\2\u40ea\u40eb\5") buf.write(";\36\2\u40eb\u40ec\5!\21\2\u40ec\u40ed\59\35\2\u40ed\u40ee") buf.write("\5)\25\2\u40ee\u40ef\5U+\2\u40ef\u40f0\5E#\2\u40f0\u40f1") buf.write("\5)\25\2\u40f1\u40f2\5G$\2\u40f2\u5853\3\2\2\2\u40f3\u40f4") buf.write("\5U+\2\u40f4\u40f5\5%\23\2\u40f5\u40f6\5=\37\2\u40f6\u40f7") buf.write("\5;\36\2\u40f7\u40f8\5U+\2\u40f8\u40f9\5G$\2\u40f9\u40fa") buf.write("\5M\'\2\u40fa\u40fb\5\61\31\2\u40fb\u40fc\5;\36\2\u40fc") buf.write("\u40fd\5\65\33\2\u40fd\u40fe\5\67\34\2\u40fe\u40ff\5)") buf.write("\25\2\u40ff\u4100\5U+\2\u4100\u4101\5E#\2\u4101\u4102") buf.write("\5G$\2\u4102\u4103\5!\21\2\u4103\u4104\5C\"\2\u4104\u4105") buf.write("\5U+\2\u4105\u4106\5;\36\2\u4106\u4107\5!\21\2\u4107\u4108") buf.write("\59\35\2\u4108\u4109\5)\25\2\u4109\u410a\5U+\2\u410a\u410b") buf.write("\5E#\2\u410b\u410c\5)\25\2\u410c\u410d\5G$\2\u410d\u5853") buf.write("\3\2\2\2\u410e\u410f\5U+\2\u410f\u4110\5!\21\2\u4110\u4111") buf.write("\5;\36\2\u4111\u4112\5!\21\2\u4112\u4113\5M\'\2\u4113") buf.write("\u4114\5=\37\2\u4114\u4115\5/\30\2\u4115\u4116\5=\37\2") buf.write("\u4116\u4117\5C\"\2\u4117\u4118\5I%\2\u4118\u5853\3\2") buf.write("\2\2\u4119\u411a\5U+\2\u411a\u411b\5!\21\2\u411b\u411c") buf.write("\5;\36\2\u411c\u411d\5!\21\2\u411d\u411e\5;\36\2\u411e") buf.write("\u411f\5I%\2\u411f\u4120\5\65\33\2\u4120\u4121\5)\25\2") buf.write("\u4121\u4122\5;\36\2\u4122\u4123\5=\37\2\u4123\u4124\5") buf.write("/\30\2\u4124\u4125\5\61\31\2\u4125\u4126\59\35\2\u4126") buf.write("\u4127\5=\37\2\u4127\u5853\3\2\2\2\u4128\u4129\5U+\2\u4129") buf.write("\u412a\5G$\2\u412a\u412b\5)\25\2\u412b\u412c\5\67\34\2") buf.write("\u412c\u412d\5)\25\2\u412d\u412e\5? \2\u412e\u412f\5=") buf.write("\37\2\u412f\u4130\5C\"\2\u4130\u4131\5G$\2\u4131\u5853") buf.write("\3\2\2\2\u4132\u4133\5U+\2\u4133\u4134\5!\21\2\u4134\u4135") buf.write("\59\35\2\u4135\u4136\5!\21\2\u4136\u4137\5\61\31\2\u4137") buf.write("\u4138\5\65\33\2\u4138\u4139\5!\21\2\u4139\u413a\5=\37") buf.write("\2\u413a\u413b\5C\"\2\u413b\u413c\5\61\31\2\u413c\u5853") buf.write("\3\2\2\2\u413d\u413e\5U+\2\u413e\u413f\5%\23\2\u413f\u4140") buf.write("\5/\30\2\u4140\u4141\5)\25\2\u4141\u4142\5%\23\2\u4142") buf.write("\u4143\5\65\33\2\u4143\u4144\5U+\2\u4144\u4145\5? \2\u4145") buf.write("\u4146\5=\37\2\u4146\u4147\5+\26\2\u4147\u4148\5\61\31") buf.write("\2\u4148\u4149\5;\36\2\u4149\u5853\3\2\2\2\u414a\u414b") buf.write("\5U+\2\u414b\u414c\5!\21\2\u414c\u414d\59\35\2\u414d\u414e") buf.write("\5!\21\2\u414e\u414f\5\61\31\2\u414f\u4150\59\35\2\u4150") buf.write("\u4151\5\61\31\2\u4151\u4152\5G$\2\u4152\u4153\5I%\2\u4153") buf.write("\u5853\3\2\2\2\u4154\u4155\5U+\2\u4155\u4156\5M\'\2\u4156") buf.write("\u4157\5!\21\2\u4157\u4158\5C\"\2\u4158\u4159\5? \2\u4159") buf.write("\u415a\5U+\2\u415a\u415b\5E#\2\u415b\u415c\5G$\2\u415c") buf.write("\u415d\5!\21\2\u415d\u415e\5C\"\2\u415e\u415f\5G$\2\u415f") buf.write("\u4160\5U+\2\u4160\u4161\5!\21\2\u4161\u4162\5;\36\2\u4162") buf.write("\u4163\5\61\31\2\u4163\u4164\59\35\2\u4164\u4165\5!\21") buf.write("\2\u4165\u4166\5G$\2\u4166\u4167\5\61\31\2\u4167\u4168") buf.write("\5=\37\2\u4168\u4169\5;\36\2\u4169\u5853\3\2\2\2\u416a") buf.write("\u416b\5U+\2\u416b\u416c\5M\'\2\u416c\u416d\5!\21\2\u416d") buf.write("\u416e\5C\"\2\u416e\u416f\5? \2\u416f\u4170\5U+\2\u4170") buf.write("\u4171\5)\25\2\u4171\u4172\5;\36\2\u4172\u4173\5\'\24") buf.write("\2\u4173\u4174\5U+\2\u4174\u4175\5!\21\2\u4175\u4176\5") buf.write(";\36\2\u4176\u4177\5\61\31\2\u4177\u4178\59\35\2\u4178") buf.write("\u4179\5!\21\2\u4179\u417a\5G$\2\u417a\u417b\5\61\31\2") buf.write("\u417b\u417c\5=\37\2\u417c\u417d\5;\36\2\u417d\u5853\3") buf.write("\2\2\2\u417e\u417f\5U+\2\u417f\u4180\5E#\2\u4180\u4181") buf.write("\5!\21\2\u4181\u4182\5+\26\2\u4182\u4183\5!\21\2\u4183") buf.write("\u4184\5C\"\2\u4184\u4185\5\61\31\2\u4185\u4186\5U+\2") buf.write("\u4186\u4187\5E#\2\u4187\u4188\5%\23\2\u4188\u4189\5=") buf.write("\37\2\u4189\u418a\5? \2\u418a\u418b\5)\25\2\u418b\u418c") buf.write("\5U+\2\u418c\u418d\5E#\2\u418d\u418e\5)\25\2\u418e\u418f") buf.write("\5A!\2\u418f\u4190\5I%\2\u4190\u4191\5)\25\2\u4191\u4192") buf.write("\5;\36\2\u4192\u4193\5%\23\2\u4193\u4194\5)\25\2\u4194") buf.write("\u5853\3\2\2\2\u4195\u4196\5U+\2\u4196\u4197\5)\25\2\u4197") buf.write("\u4198\5K&\2\u4198\u4199\5)\25\2\u4199\u419a\5;\36\2\u419a") buf.write("\u419b\5G$\2\u419b\u419c\5U+\2\u419c\u419d\5%\23\2\u419d") buf.write("\u419e\5!\21\2\u419e\u419f\59\35\2\u419f\u41a0\5)\25\2") buf.write("\u41a0\u41a1\5C\"\2\u41a1\u41a2\5!\21\2\u41a2\u41a3\5") buf.write("U+\2\u41a3\u41a4\5\61\31\2\u41a4\u41a5\5;\36\2\u41a5\u41a6") buf.write("\5\'\24\2\u41a6\u41a7\5)\25\2\u41a7\u41a8\5O(\2\u41a8") buf.write("\u5853\3\2\2\2\u41a9\u41aa\5U+\2\u41aa\u41ab\5)\25\2\u41ab") buf.write("\u41ac\5K&\2\u41ac\u41ad\5)\25\2\u41ad\u41ae\5;\36\2\u41ae") buf.write("\u41af\5G$\2\u41af\u41b0\5U+\2\u41b0\u41b1\5%\23\2\u41b1") buf.write("\u41b2\5!\21\2\u41b2\u41b3\59\35\2\u41b3\u41b4\5)\25\2") buf.write("\u41b4\u41b5\5C\"\2\u41b5\u41b6\5!\21\2\u41b6\u41b7\5") buf.write("U+\2\u41b7\u41b8\5)\25\2\u41b8\u41b9\5;\36\2\u41b9\u41ba") buf.write("\5\'\24\2\u41ba\u41bb\5U+\2\u41bb\u41bc\5M\'\2\u41bc\u41bd") buf.write("\5!\21\2\u41bd\u41be\5\61\31\2\u41be\u41bf\5G$\2\u41bf") buf.write("\u5853\3\2\2\2\u41c0\u41c1\5U+\2\u41c1\u41c2\5E#\2\u41c2") buf.write("\u41c3\5/\30\2\u41c3\u41c4\5=\37\2\u41c4\u41c5\5? \2\u41c5") buf.write("\u41c6\5U+\2\u41c6\u41c7\5=\37\2\u41c7\u41c8\5? \2\u41c8") buf.write("\u41c9\5)\25\2\u41c9\u41ca\5;\36\2\u41ca\u41cb\5U+\2\u41cb") buf.write("\u41cc\5? \2\u41cc\u41cd\5!\21\2\u41cd\u41ce\5\67\34\2") buf.write("\u41ce\u41cf\5? \2\u41cf\u41d0\5!\21\2\u41d0\u41d1\5C") buf.write("\"\2\u41d1\u41d2\5\65\33\2\u41d2\u5853\3\2\2\2\u41d3\u41d4") buf.write("\5U+\2\u41d4\u41d5\5#\22\2\u41d5\u41d6\5G$\2\u41d6\u41d7") buf.write("\5=\37\2\u41d7\u41d8\5M\'\2\u41d8\u41d9\5)\25\2\u41d9") buf.write("\u41da\5C\"\2\u41da\u41db\5U+\2\u41db\u41dc\5!\21\2\u41dc") buf.write("\u41dd\5? \2\u41dd\u41de\5? \2\u41de\u41df\5U+\2\u41df") buf.write("\u41e0\5M\'\2\u41e0\u41e1\5!\21\2\u41e1\u41e2\5\61\31") buf.write("\2\u41e2\u41e3\5G$\2\u41e3\u5853\3\2\2\2\u41e4\u41e5\5") buf.write("U+\2\u41e5\u41e6\5+\26\2\u41e6\u41e7\5\67\34\2\u41e7\u41e8") buf.write("\5=\37\2\u41e8\u41e9\5=\37\2\u41e9\u41ea\5C\"\2\u41ea") buf.write("\u41eb\5U+\2\u41eb\u41ec\5=\37\2\u41ec\u41ed\5? \2\u41ed") buf.write("\u41ee\5)\25\2\u41ee\u41ef\5;\36\2\u41ef\u5853\3\2\2\2") buf.write("\u41f0\u41f1\5U+\2\u41f1\u41f2\5+\26\2\u41f2\u41f3\5\67") buf.write("\34\2\u41f3\u41f4\5=\37\2\u41f4\u41f5\5=\37\2\u41f5\u41f6") buf.write("\5C\"\2\u41f6\u41f7\5U+\2\u41f7\u41f8\5%\23\2\u41f8\u41f9") buf.write("\5\67\34\2\u41f9\u41fa\5=\37\2\u41fa\u41fb\5E#\2\u41fb") buf.write("\u41fc\5)\25\2\u41fc\u5853\3\2\2\2\u41fd\u41fe\5U+\2\u41fe") buf.write("\u41ff\59\35\2\u41ff\u4200\5=\37\2\u4200\u4201\5;\36\2") buf.write("\u4201\u4202\5)\25\2\u4202\u4203\5Q)\2\u4203\u4204\5U") buf.write("+\2\u4204\u4205\5=\37\2\u4205\u4206\5? \2\u4206\u4207") buf.write("\5)\25\2\u4207\u4208\5;\36\2\u4208\u5853\3\2\2\2\u4209") buf.write("\u420a\5U+\2\u420a\u420b\59\35\2\u420b\u420c\5=\37\2\u420c") buf.write("\u420d\5;\36\2\u420d\u420e\5)\25\2\u420e\u420f\5Q)\2\u420f") buf.write("\u4210\5U+\2\u4210\u4211\5%\23\2\u4211\u4212\5\67\34\2") buf.write("\u4212\u4213\5=\37\2\u4213\u4214\5E#\2\u4214\u4215\5)") buf.write("\25\2\u4215\u5853\3\2\2\2\u4216\u4217\5U+\2\u4217\u4218") buf.write("\5!\21\2\u4218\u4219\5S*\2\u4219\u421a\5I%\2\u421a\u421b") buf.write("\5\65\33\2\u421b\u421c\5!\21\2\u421c\u421d\5C\"\2\u421d") buf.write("\u421e\5\61\31\2\u421e\u421f\5Q)\2\u421f\u4220\5!\21\2") buf.write("\u4220\u4221\5U+\2\u4221\u4222\5)\25\2\u4222\u4223\5O") buf.write("(\2\u4223\u4224\5\61\31\2\u4224\u4225\5E#\2\u4225\u4226") buf.write("\5G$\2\u4226\u4227\5U+\2\u4227\u4228\5)\25\2\u4228\u4229") buf.write("\5-\27\2\u4229\u422a\5-\27\2\u422a\u5853\3\2\2\2\u422b") buf.write("\u422c\5U+\2\u422c\u422d\5!\21\2\u422d\u422e\5S*\2\u422e") buf.write("\u422f\5I%\2\u422f\u4230\5\65\33\2\u4230\u4231\5!\21\2") buf.write("\u4231\u4232\5C\"\2\u4232\u4233\5\61\31\2\u4233\u4234") buf.write("\5Q)\2\u4234\u4235\5!\21\2\u4235\u4236\5U+\2\u4236\u4237") buf.write("\5E#\2\u4237\u4238\5G$\2\u4238\u4239\5=\37\2\u4239\u423a") buf.write("\5C\"\2\u423a\u423b\5)\25\2\u423b\u423c\5\'\24\2\u423c") buf.write("\u423d\5U+\2\u423d\u423e\5%\23\2\u423e\u423f\5=\37\2\u423f") buf.write("\u4240\5I%\2\u4240\u4241\5;\36\2\u4241\u4242\5G$\2\u4242") buf.write("\u5853\3\2\2\2\u4243\u4244\5U+\2\u4244\u4245\5!\21\2\u4245") buf.write("\u4246\5S*\2\u4246\u4247\5I%\2\u4247\u4248\5\65\33\2\u4248") buf.write("\u4249\5!\21\2\u4249\u424a\5C\"\2\u424a\u424b\5\61\31") buf.write("\2\u424b\u424c\5Q)\2\u424c\u424d\5!\21\2\u424d\u424e\5") buf.write("U+\2\u424e\u424f\5E#\2\u424f\u4250\5)\25\2\u4250\u4251") buf.write("\5G$\2\u4251\u4252\5U+\2\u4252\u4253\5E#\2\u4253\u4254") buf.write("\5G$\2\u4254\u4255\5=\37\2\u4255\u4256\5C\"\2\u4256\u4257") buf.write("\5)\25\2\u4257\u4258\5\'\24\2\u4258\u4259\5U+\2\u4259") buf.write("\u425a\5;\36\2\u425a\u425b\5!\21\2\u425b\u425c\59\35\2") buf.write("\u425c\u425d\5)\25\2\u425d\u5853\3\2\2\2\u425e\u425f\5") buf.write("U+\2\u425f\u4260\5!\21\2\u4260\u4261\5S*\2\u4261\u4262") buf.write("\5I%\2\u4262\u4263\5\65\33\2\u4263\u4264\5!\21\2\u4264") buf.write("\u4265\5C\"\2\u4265\u4266\5\61\31\2\u4266\u4267\5Q)\2") buf.write("\u4267\u4268\5!\21\2\u4268\u4269\5U+\2\u4269\u426a\5E") buf.write("#\2\u426a\u426b\5G$\2\u426b\u426c\5=\37\2\u426c\u426d") buf.write("\5C\"\2\u426d\u426e\5)\25\2\u426e\u5853\3\2\2\2\u426f") buf.write("\u4270\5U+\2\u4270\u4271\5!\21\2\u4271\u4272\5S*\2\u4272") buf.write("\u4273\5I%\2\u4273\u4274\5\65\33\2\u4274\u4275\5!\21\2") buf.write("\u4275\u4276\5C\"\2\u4276\u4277\5\61\31\2\u4277\u4278") buf.write("\5Q)\2\u4278\u4279\5!\21\2\u4279\u427a\5U+\2\u427a\u427b") buf.write("\5C\"\2\u427b\u427c\5)\25\2\u427c\u427d\5E#\2\u427d\u427e") buf.write("\5G$\2\u427e\u427f\5=\37\2\u427f\u4280\5C\"\2\u4280\u4281") buf.write("\5)\25\2\u4281\u5853\3\2\2\2\u4282\u4283\5U+\2\u4283\u4284") buf.write("\5!\21\2\u4284\u4285\5S*\2\u4285\u4286\5I%\2\u4286\u4287") buf.write("\5\65\33\2\u4287\u4288\5!\21\2\u4288\u4289\5C\"\2\u4289") buf.write("\u428a\5\61\31\2\u428a\u428b\5Q)\2\u428b\u428c\5!\21\2") buf.write("\u428c\u428d\5U+\2\u428d\u428e\5\67\34\2\u428e\u428f\5") buf.write("=\37\2\u428f\u4290\5K&\2\u4290\u4291\5)\25\2\u4291\u4292") buf.write("\5U+\2\u4292\u4293\5\67\34\2\u4293\u4294\5)\25\2\u4294") buf.write("\u4295\5K&\2\u4295\u4296\5)\25\2\u4296\u4297\5\67\34\2") buf.write("\u4297\u5853\3\2\2\2\u4298\u4299\5U+\2\u4299\u429a\5!") buf.write("\21\2\u429a\u429b\5S*\2\u429b\u429c\5I%\2\u429c\u429d") buf.write("\5\65\33\2\u429d\u429e\5!\21\2\u429e\u429f\5C\"\2\u429f") buf.write("\u42a0\5\61\31\2\u42a0\u42a1\5Q)\2\u42a1\u42a2\5!\21\2") buf.write("\u42a2\u42a3\5U+\2\u42a3\u42a4\5-\27\2\u42a4\u42a5\5)") buf.write("\25\2\u42a5\u42a6\5G$\2\u42a6\u42a7\5U+\2\u42a7\u42a8") buf.write("\5E#\2\u42a8\u42a9\5G$\2\u42a9\u42aa\5=\37\2\u42aa\u42ab") buf.write("\5C\"\2\u42ab\u42ac\5)\25\2\u42ac\u42ad\5\'\24\2\u42ad") buf.write("\u42ae\5U+\2\u42ae\u42af\59\35\2\u42af\u42b0\5=\37\2\u42b0") buf.write("\u42b1\5;\36\2\u42b1\u42b2\5E#\2\u42b2\u42b3\5;\36\2\u42b3") buf.write("\u42b4\5=\37\2\u42b4\u5853\3\2\2\2\u42b5\u42b6\5U+\2\u42b6") buf.write("\u42b7\5!\21\2\u42b7\u42b8\5S*\2\u42b8\u42b9\5I%\2\u42b9") buf.write("\u42ba\5\65\33\2\u42ba\u42bb\5!\21\2\u42bb\u42bc\5C\"") buf.write("\2\u42bc\u42bd\5\61\31\2\u42bd\u42be\5Q)\2\u42be\u42bf") buf.write("\5!\21\2\u42bf\u42c0\5U+\2\u42c0\u42c1\5-\27\2\u42c1\u42c2") buf.write("\5)\25\2\u42c2\u42c3\5G$\2\u42c3\u42c4\5U+\2\u42c4\u42c5") buf.write("\5)\25\2\u42c5\u42c6\5-\27\2\u42c6\u42c7\5-\27\2\u42c7") buf.write("\u5853\3\2\2\2\u42c8\u42c9\5U+\2\u42c9\u42ca\5!\21\2\u42ca") buf.write("\u42cb\5S*\2\u42cb\u42cc\5I%\2\u42cc\u42cd\5\65\33\2\u42cd") buf.write("\u42ce\5!\21\2\u42ce\u42cf\5C\"\2\u42cf\u42d0\5\61\31") buf.write("\2\u42d0\u42d1\5Q)\2\u42d1\u42d2\5!\21\2\u42d2\u42d3\5") buf.write("U+\2\u42d3\u42d4\5\'\24\2\u42d4\u42d5\5\61\31\2\u42d5") buf.write("\u42d6\5E#\2\u42d6\u42d7\5%\23\2\u42d7\u42d8\5!\21\2\u42d8") buf.write("\u42d9\5C\"\2\u42d9\u42da\5\'\24\2\u42da\u42db\5U+\2\u42db") buf.write("\u42dc\5)\25\2\u42dc\u42dd\5-\27\2\u42dd\u42de\5-\27\2") buf.write("\u42de\u5853\3\2\2\2\u42df\u42e0\5U+\2\u42e0\u42e1\5!") buf.write("\21\2\u42e1\u42e2\5S*\2\u42e2\u42e3\5I%\2\u42e3\u42e4") buf.write("\5\65\33\2\u42e4\u42e5\5!\21\2\u42e5\u42e6\5C\"\2\u42e6") buf.write("\u42e7\5\61\31\2\u42e7\u42e8\5Q)\2\u42e8\u42e9\5!\21\2") buf.write("\u42e9\u42ea\5U+\2\u42ea\u42eb\5E#\2\u42eb\u42ec\5)\25") buf.write("\2\u42ec\u42ed\5G$\2\u42ed\u42ee\5U+\2\u42ee\u42ef\5E") buf.write("#\2\u42ef\u42f0\5G$\2\u42f0\u42f1\5=\37\2\u42f1\u42f2") buf.write("\5C\"\2\u42f2\u42f3\5)\25\2\u42f3\u42f4\5\'\24\2\u42f4") buf.write("\u42f5\5U+\2\u42f5\u42f6\5\61\31\2\u42f6\u42f7\5;\36\2") buf.write("\u42f7\u42f8\5+\26\2\u42f8\u42f9\5=\37\2\u42f9\u42fa\5") buf.write("U+\2\u42fa\u42fb\5E#\2\u42fb\u42fc\5G$\2\u42fc\u42fd\5") buf.write("C\"\2\u42fd\u5853\3\2\2\2\u42fe\u42ff\5U+\2\u42ff\u4300") buf.write("\5!\21\2\u4300\u4301\5S*\2\u4301\u4302\5I%\2\u4302\u4303") buf.write("\5\65\33\2\u4303\u4304\5!\21\2\u4304\u4305\5C\"\2\u4305") buf.write("\u4306\5\61\31\2\u4306\u4307\5Q)\2\u4307\u4308\5!\21\2") buf.write("\u4308\u4309\5U+\2\u4309\u430a\5-\27\2\u430a\u430b\5)") buf.write("\25\2\u430b\u430c\5G$\2\u430c\u430d\5U+\2\u430d\u430e") buf.write("\5E#\2\u430e\u430f\5G$\2\u430f\u4310\5=\37\2\u4310\u4311") buf.write("\5C\"\2\u4311\u4312\5)\25\2\u4312\u4313\5\'\24\2\u4313") buf.write("\u4314\5U+\2\u4314\u4315\5E#\2\u4315\u4316\5)\25\2\u4316") buf.write("\u4317\5O(\2\u4317\u5853\3\2\2\2\u4318\u4319\5U+\2\u4319") buf.write("\u431a\5!\21\2\u431a\u431b\5S*\2\u431b\u431c\5I%\2\u431c") buf.write("\u431d\5\65\33\2\u431d\u431e\5!\21\2\u431e\u431f\5C\"") buf.write("\2\u431f\u4320\5\61\31\2\u4320\u4321\5Q)\2\u4321\u4322") buf.write("\5!\21\2\u4322\u4323\5U+\2\u4323\u4324\5=\37\2\u4324\u4325") buf.write("\5\67\34\2\u4325\u4326\5\'\24\2\u4326\u4327\59\35\2\u4327") buf.write("\u4328\5!\21\2\u4328\u4329\5;\36\2\u4329\u432a\5U+\2\u432a") buf.write("\u432b\5\61\31\2\u432b\u432c\5;\36\2\u432c\u432d\5\61") buf.write("\31\2\u432d\u432e\5G$\2\u432e\u5853\3\2\2\2\u432f\u4330") buf.write("\5U+\2\u4330\u4331\5!\21\2\u4331\u4332\5\'\24\2\u4332") buf.write("\u4333\5\'\24\2\u4333\u4334\5U+\2\u4334\u4335\5%\23\2") buf.write("\u4335\u4336\5I%\2\u4336\u4337\5E#\2\u4337\u4338\5G$\2") buf.write("\u4338\u4339\5I%\2\u4339\u433a\59\35\2\u433a\u433b\5U") buf.write("+\2\u433b\u433c\5M\'\2\u433c\u433d\5\61\31\2\u433d\u433e") buf.write("\5;\36\2\u433e\u433f\5U+\2\u433f\u4340\5\67\34\2\u4340") buf.write("\u4341\5!\21\2\u4341\u4342\5#\22\2\u4342\u4343\5)\25\2") buf.write("\u4343\u4344\5\67\34\2\u4344\u4345\5U+\2\u4345\u4346\5") buf.write("M\'\2\u4346\u4347\5=\37\2\u4347\u4348\5C\"\2\u4348\u4349") buf.write("\5\'\24\2\u4349\u434a\5U+\2\u434a\u434b\5E#\2\u434b\u434c") buf.write("\5)\25\2\u434c\u434d\5G$\2\u434d\u5853\3\2\2\2\u434e\u434f") buf.write("\5U+\2\u434f\u4350\5=\37\2\u4350\u4351\5? \2\u4351\u4352") buf.write("\5)\25\2\u4352\u4353\5;\36\2\u4353\u4354\5U+\2\u4354\u4355") buf.write("\5%\23\2\u4355\u4356\5I%\2\u4356\u4357\5E#\2\u4357\u4358") buf.write("\5G$\2\u4358\u4359\5I%\2\u4359\u435a\59\35\2\u435a\u435b") buf.write("\5U+\2\u435b\u435c\5M\'\2\u435c\u435d\5\61\31\2\u435d") buf.write("\u435e\5;\36\2\u435e\u435f\5U+\2\u435f\u4360\5M\'\2\u4360") buf.write("\u4361\5=\37\2\u4361\u4362\5C\"\2\u4362\u4363\5\'\24\2") buf.write("\u4363\u4364\5U+\2\u4364\u4365\5E#\2\u4365\u4366\5)\25") buf.write("\2\u4366\u4367\5G$\2\u4367\u5853\3\2\2\2\u4368\u4369\5") buf.write("U+\2\u4369\u436a\5!\21\2\u436a\u436b\5%\23\2\u436b\u436c") buf.write("\5U+\2\u436c\u436d\5\61\31\2\u436d\u436e\5;\36\2\u436e") buf.write("\u436f\5K&\2\u436f\u4370\5\61\31\2\u4370\u4371\5E#\2\u4371") buf.write("\u4372\5\61\31\2\u4372\u4373\5#\22\2\u4373\u4374\5\67") buf.write("\34\2\u4374\u4375\5)\25\2\u4375\u4376\5U+\2\u4376\u4377") buf.write("\5=\37\2\u4377\u4378\5;\36\2\u4378\u5853\3\2\2\2\u4379") buf.write("\u437a\5U+\2\u437a\u437b\5!\21\2\u437b\u437c\5%\23\2\u437c") buf.write("\u437d\5U+\2\u437d\u437e\5\61\31\2\u437e\u437f\5;\36\2") buf.write("\u437f\u4380\5K&\2\u4380\u4381\5\61\31\2\u4381\u4382\5") buf.write("E#\2\u4382\u4383\5\61\31\2\u4383\u4384\5#\22\2\u4384\u4385") buf.write("\5\67\34\2\u4385\u4386\5)\25\2\u4386\u4387\5U+\2\u4387") buf.write("\u4388\5=\37\2\u4388\u4389\5+\26\2\u4389\u438a\5+\26\2") buf.write("\u438a\u5853\3\2\2\2\u438b\u438c\5U+\2\u438c\u438d\5#") buf.write("\22\2\u438d\u438e\5G$\2\u438e\u438f\5\67\34\2\u438f\u4390") buf.write("\5U+\2\u4390\u4391\5)\25\2\u4391\u4392\5;\36\2\u4392\u4393") buf.write("\5%\23\2\u4393\u4394\5E#\2\u4394\u4395\5)\25\2\u4395\u4396") buf.write("\5A!\2\u4396\u4397\5U+\2\u4397\u4398\5\67\34\2\u4398\u4399") buf.write("\5=\37\2\u4399\u439a\5!\21\2\u439a\u439b\5\'\24\2\u439b") buf.write("\u5853\3\2\2\2\u439c\u439d\5U+\2\u439d\u439e\5I%\2\u439e") buf.write("\u439f\5E#\2\u439f\u43a0\5)\25\2\u43a0\u43a1\5U+\2\u43a1") buf.write("\u43a2\5E#\2\u43a2\u43a3\5? \2\u43a3\u43a4\5C\"\2\u43a4") buf.write("\u43a5\5!\21\2\u43a5\u43a6\5Q)\2\u43a6\u5853\3\2\2\2\u43a7") buf.write("\u43a8\5U+\2\u43a8\u43a9\5#\22\2\u43a9\u43aa\5\61\31\2") buf.write("\u43aa\u43ab\5C\"\2\u43ab\u43ac\5G$\2\u43ac\u43ad\5/\30") buf.write("\2\u43ad\u43ae\5U+\2\u43ae\u43af\59\35\2\u43af\u43b0\5") buf.write("=\37\2\u43b0\u43b1\5I%\2\u43b1\u43b2\5;\36\2\u43b2\u43b3") buf.write("\5G$\2\u43b3\u43b4\5/\30\2\u43b4\u43b5\5U+\2\u43b5\u43b6") buf.write("\5\61\31\2\u43b6\u43b7\5;\36\2\u43b7\u43b8\5? \2\u43b8") buf.write("\u43b9\5I%\2\u43b9\u43ba\5G$\2\u43ba\u5853\3\2\2\2\u43bb") buf.write("\u43bc\5U+\2\u43bc\u43bd\5#\22\2\u43bd\u43be\5\61\31\2") buf.write("\u43be\u43bf\5C\"\2\u43bf\u43c0\5G$\2\u43c0\u43c1\5/\30") buf.write("\2\u43c1\u43c2\5U+\2\u43c2\u43c3\5\'\24\2\u43c3\u43c4") buf.write("\5!\21\2\u43c4\u43c5\5Q)\2\u43c5\u43c6\5U+\2\u43c6\u43c7") buf.write("\5\61\31\2\u43c7\u43c8\5;\36\2\u43c8\u43c9\5? \2\u43c9") buf.write("\u43ca\5I%\2\u43ca\u43cb\5G$\2\u43cb\u5853\3\2\2\2\u43cc") buf.write("\u43cd\5U+\2\u43cd\u43ce\5E#\2\u43ce\u43cf\5? \2\u43cf") buf.write("\u43d0\5)\25\2\u43d0\u43d1\5!\21\2\u43d1\u43d2\5\65\33") buf.write("\2\u43d2\u43d3\5)\25\2\u43d3\u43d4\5C\"\2\u43d4\u43d5") buf.write("\5E#\2\u43d5\u43d6\5U+\2\u43d6\u43d7\5;\36\2\u43d7\u43d8") buf.write("\5!\21\2\u43d8\u43d9\59\35\2\u43d9\u43da\5)\25\2\u43da") buf.write("\u5853\3\2\2\2\u43db\u43dc\5U+\2\u43dc\u43dd\5-\27\2\u43dd") buf.write("\u43de\5)\25\2\u43de\u43df\5G$\2\u43df\u43e0\5U+\2\u43e0") buf.write("\u43e1\5? \2\u43e1\u43e2\5\67\34\2\u43e2\u43e3\5!\21\2") buf.write("\u43e3\u43e4\5Q)\2\u43e4\u43e5\5)\25\2\u43e5\u43e6\5C") buf.write("\"\2\u43e6\u43e7\5U+\2\u43e7\u43e8\5%\23\2\u43e8\u43e9") buf.write("\5!\21\2\u43e9\u43ea\5? \2\u43ea\u5853\3\2\2\2\u43eb\u43ec") buf.write("\5U+\2\u43ec\u43ed\5%\23\2\u43ed\u43ee\5!\21\2\u43ee\u43ef") buf.write("\59\35\2\u43ef\u43f0\5)\25\2\u43f0\u43f1\5C\"\2\u43f1") buf.write("\u43f2\5!\21\2\u43f2\u43f3\5U+\2\u43f3\u43f4\5E#\2\u43f4") buf.write("\u43f5\5/\30\2\u43f5\u43f6\5!\21\2\u43f6\u43f7\5\65\33") buf.write("\2\u43f7\u43f8\5)\25\2\u43f8\u5853\3\2\2\2\u43f9\u43fa") buf.write("\5U+\2\u43fa\u43fb\5)\25\2\u43fb\u43fc\5K&\2\u43fc\u43fd") buf.write("\5)\25\2\u43fd\u43fe\5;\36\2\u43fe\u43ff\5G$\2\u43ff\u4400") buf.write("\5U+\2\u4400\u4401\5)\25\2\u4401\u4402\5;\36\2\u4402\u4403") buf.write("\5G$\2\u4403\u4404\5\61\31\2\u4404\u4405\5G$\2\u4405\u4406") buf.write("\5Q)\2\u4406\u4407\5U+\2\u4407\u4408\5%\23\2\u4408\u4409") buf.write("\5\67\34\2\u4409\u440a\5\61\31\2\u440a\u440b\5? \2\u440b") buf.write("\u440c\5U+\2\u440c\u440d\5? \2\u440d\u440e\5\67\34\2\u440e") buf.write("\u440f\5!\21\2\u440f\u4410\5Q)\2\u4410\u5853\3\2\2\2\u4411") buf.write("\u4412\5U+\2\u4412\u4413\5)\25\2\u4413\u4414\5K&\2\u4414") buf.write("\u4415\5)\25\2\u4415\u4416\5;\36\2\u4416\u4417\5G$\2\u4417") buf.write("\u4418\5U+\2\u4418\u4419\5)\25\2\u4419\u441a\5;\36\2\u441a") buf.write("\u441b\5G$\2\u441b\u441c\5\61\31\2\u441c\u441d\5G$\2\u441d") buf.write("\u441e\5Q)\2\u441e\u441f\5U+\2\u441f\u4420\5%\23\2\u4420") buf.write("\u4421\5\67\34\2\u4421\u4422\5\61\31\2\u4422\u4423\5?") buf.write(" \2\u4423\u4424\5U+\2\u4424\u4425\5M\'\2\u4425\u4426\5") buf.write("!\21\2\u4426\u4427\5\61\31\2\u4427\u4428\5G$\2\u4428\u5853") buf.write("\3\2\2\2\u4429\u442a\5U+\2\u442a\u442b\5+\26\2\u442b\u442c") buf.write("\5!\21\2\u442c\u442d\5%\23\2\u442d\u442e\5)\25\2\u442e") buf.write("\u442f\5U+\2\u442f\u4430\5\61\31\2\u4430\u4431\5;\36\2") buf.write("\u4431\u4432\5\'\24\2\u4432\u4433\5)\25\2\u4433\u4434") buf.write("\5O(\2\u4434\u5853\3\2\2\2\u4435\u4436\5U+\2\u4436\u4437") buf.write("\5!\21\2\u4437\u4438\5%\23\2\u4438\u4439\5U+\2\u4439\u443a") buf.write("\5+\26\2\u443a\u443b\5!\21\2\u443b\u443c\5%\23\2\u443c") buf.write("\u443d\5)\25\2\u443d\u443e\5U+\2\u443e\u443f\5\61\31\2") buf.write("\u443f\u4440\5;\36\2\u4440\u4441\5\'\24\2\u4441\u4442") buf.write("\5)\25\2\u4442\u4443\5O(\2\u4443\u5853\3\2\2\2\u4444\u4445") buf.write("\5U+\2\u4445\u4446\5G$\2\u4446\u4447\5)\25\2\u4447\u4448") buf.write("\59\35\2\u4448\u4449\5=\37\2\u4449\u444a\5G$\2\u444a\u444b") buf.write("\5\61\31\2\u444b\u444c\5U+\2\u444c\u444d\5#\22\2\u444d") buf.write("\u444e\5!\21\2\u444e\u444f\5\67\34\2\u444f\u4450\5\67") buf.write("\34\2\u4450\u4451\5U+\2\u4451\u4452\5\67\34\2\u4452\u4453") buf.write("\5=\37\2\u4453\u4454\5!\21\2\u4454\u4455\5\'\24\2\u4455") buf.write("\u5853\3\2\2\2\u4456\u4457\5U+\2\u4457\u4458\5G$\2\u4458") buf.write("\u4459\5)\25\2\u4459\u445a\59\35\2\u445a\u445b\5=\37\2") buf.write("\u445b\u445c\5G$\2\u445c\u445d\5\61\31\2\u445d\u445e\5") buf.write("U+\2\u445e\u445f\5#\22\2\u445f\u4460\5!\21\2\u4460\u4461") buf.write("\5\67\34\2\u4461\u4462\5\67\34\2\u4462\u4463\5U+\2\u4463") buf.write("\u4464\5\67\34\2\u4464\u4465\5=\37\2\u4465\u4466\5!\21") buf.write("\2\u4466\u4467\5\'\24\2\u4467\u4468\5U+\2\u4468\u4469") buf.write("\5M\'\2\u4469\u446a\5!\21\2\u446a\u446b\5\61\31\2\u446b") buf.write("\u446c\5G$\2\u446c\u5853\3\2\2\2\u446d\u446e\5U+\2\u446e") buf.write("\u446f\5? \2\u446f\u4470\5=\37\2\u4470\u4471\5\65\33\2") buf.write("\u4471\u4472\5)\25\2\u4472\u4473\5%\23\2\u4473\u4474\5") buf.write(")\25\2\u4474\u4475\5;\36\2\u4475\u4476\5U+\2\u4476\u4477") buf.write("\5? \2\u4477\u4478\5I%\2\u4478\u4479\5G$\2\u4479\u447a") buf.write("\5U+\2\u447a\u447b\5#\22\2\u447b\u447c\5!\21\2\u447c\u447d") buf.write("\5\67\34\2\u447d\u447e\5\67\34\2\u447e\u5853\3\2\2\2\u447f") buf.write("\u4480\5U+\2\u4480\u4481\5? \2\u4481\u4482\5=\37\2\u4482") buf.write("\u4483\5\65\33\2\u4483\u4484\5)\25\2\u4484\u4485\5%\23") buf.write("\2\u4485\u4486\5)\25\2\u4486\u4487\5;\36\2\u4487\u4488") buf.write("\5U+\2\u4488\u4489\5%\23\2\u4489\u448a\5\67\34\2\u448a") buf.write("\u448b\5)\25\2\u448b\u448c\5!\21\2\u448c\u448d\5C\"\2") buf.write("\u448d\u448e\5U+\2\u448e\u448f\5#\22\2\u448f\u4490\5!") buf.write("\21\2\u4490\u4491\5\67\34\2\u4491\u4492\5\67\34\2\u4492") buf.write("\u5853\3\2\2\2\u4493\u4494\5U+\2\u4494\u4495\5%\23\2\u4495") buf.write("\u4496\5/\30\2\u4496\u4497\5!\21\2\u4497\u4498\5C\"\2") buf.write("\u4498\u4499\5!\21\2\u4499\u449a\5U+\2\u449a\u449b\5\67") buf.write("\34\2\u449b\u449c\5=\37\2\u449c\u449d\5=\37\2\u449d\u449e") buf.write("\5\65\33\2\u449e\u449f\5U+\2\u449f\u44a0\5\67\34\2\u44a0") buf.write("\u44a1\5=\37\2\u44a1\u44a2\5%\23\2\u44a2\u44a3\5\65\33") buf.write("\2\u44a3\u5853\3\2\2\2\u44a4\u44a5\5U+\2\u44a5\u44a6\5") buf.write("%\23\2\u44a6\u44a7\5/\30\2\u44a7\u44a8\5!\21\2\u44a8\u44a9") buf.write("\5C\"\2\u44a9\u44aa\5!\21\2\u44aa\u44ab\5U+\2\u44ab\u44ac") buf.write("\5\67\34\2\u44ac\u44ad\5=\37\2\u44ad\u44ae\5=\37\2\u44ae") buf.write("\u44af\5\65\33\2\u44af\u44b0\5U+\2\u44b0\u44b1\5C\"\2") buf.write("\u44b1\u44b2\5)\25\2\u44b2\u44b3\5\67\34\2\u44b3\u44b4") buf.write("\5)\25\2\u44b4\u44b5\5!\21\2\u44b5\u44b6\5E#\2\u44b6\u44b7") buf.write("\5)\25\2\u44b7\u5853\3\2\2\2\u44b8\u44b9\5U+\2\u44b9\u44ba") buf.write("\5G$\2\u44ba\u44bb\5!\21\2\u44bb\u44bc\5\67\34\2\u44bc") buf.write("\u44bd\5\65\33\2\u44bd\u44be\5U+\2\u44be\u44bf\5=\37\2") buf.write("\u44bf\u44c0\5#\22\2\u44c0\u44c1\5\63\32\2\u44c1\u44c2") buf.write("\5U+\2\u44c2\u44c3\5E#\2\u44c3\u44c4\5G$\2\u44c4\u44c5") buf.write("\5!\21\2\u44c5\u44c6\5C\"\2\u44c6\u44c7\5G$\2\u44c7\u44c8") buf.write("\5U+\2\u44c8\u44c9\5\67\34\2\u44c9\u44ca\5=\37\2\u44ca") buf.write("\u44cb\5=\37\2\u44cb\u44cc\5\65\33\2\u44cc\u44cd\5U+\2") buf.write("\u44cd\u44ce\5;\36\2\u44ce\u44cf\5=\37\2\u44cf\u44d0\5") buf.write(";\36\2\u44d0\u44d1\5)\25\2\u44d1\u5853\3\2\2\2\u44d2\u44d3") buf.write("\5U+\2\u44d3\u44d4\5#\22\2\u44d4\u44d5\5=\37\2\u44d5\u44d6") buf.write("\5I%\2\u44d6\u44d7\5\65\33\2\u44d7\u44d8\5)\25\2\u44d8") buf.write("\u44d9\5;\36\2\u44d9\u44da\5;\36\2\u44da\u44db\5=\37\2") buf.write("\u44db\u44dc\5=\37\2\u44dc\u44dd\5G$\2\u44dd\u44de\5=") buf.write("\37\2\u44de\u44df\5U+\2\u44df\u44e0\5G$\2\u44e0\u44e1") buf.write("\5\61\31\2\u44e1\u44e2\5? \2\u44e2\u44e3\5E#\2\u44e3\u44e4") buf.write("\5U+\2\u44e4\u44e5\5=\37\2\u44e5\u44e6\5? \2\u44e6\u44e7") buf.write("\5)\25\2\u44e7\u44e8\5;\36\2\u44e8\u5853\3\2\2\2\u44e9") buf.write("\u44ea\5U+\2\u44ea\u44eb\5/\30\2\u44eb\u44ec\5\61\31\2") buf.write("\u44ec\u44ed\5\'\24\2\u44ed\u44ee\5)\25\2\u44ee\u44ef") buf.write("\5;\36\2\u44ef\u44f0\5)\25\2\u44f0\u44f1\5+\26\2\u44f1") buf.write("\u44f2\5+\26\2\u44f2\u44f3\5U+\2\u44f3\u44f4\5M\'\2\u44f4") buf.write("\u44f5\5!\21\2\u44f5\u44f6\5\61\31\2\u44f6\u44f7\5G$\2") buf.write("\u44f7\u5853\3\2\2\2\u44f8\u44f9\5U+\2\u44f9\u44fa\5-") buf.write("\27\2\u44fa\u44fb\5)\25\2\u44fb\u44fc\5G$\2\u44fc\u44fd") buf.write("\5U+\2\u44fd\u44fe\5I%\2\u44fe\u44ff\5C\"\2\u44ff\u4500") buf.write("\5!\21\2\u4500\u4501\5Q)\2\u4501\u4502\5!\21\2\u4502\u4503") buf.write("\59\35\2\u4503\u4504\5!\21\2\u4504\u4505\5U+\2\u4505\u4506") buf.write("\5)\25\2\u4506\u4507\5;\36\2\u4507\u4508\5%\23\2\u4508") buf.write("\u4509\5=\37\2\u4509\u450a\5I%\2\u450a\u450b\5;\36\2\u450b") buf.write("\u450c\5G$\2\u450c\u450d\5U+\2\u450d\u450e\5\61\31\2\u450e") buf.write("\u450f\5;\36\2\u450f\u4510\5\'\24\2\u4510\u4511\5)\25") buf.write("\2\u4511\u4512\5O(\2\u4512\u5853\3\2\2\2\u4513\u4514\5") buf.write("U+\2\u4514\u4515\5%\23\2\u4515\u4516\5I%\2\u4516\u4517") buf.write("\5E#\2\u4517\u4518\5G$\2\u4518\u4519\5=\37\2\u4519\u451a") buf.write("\59\35\2\u451a\u451b\5U+\2\u451b\u451c\5#\22\2\u451c\u451d") buf.write("\5!\21\2\u451d\u451e\5\67\34\2\u451e\u451f\5\67\34\2\u451f") buf.write("\u4520\5U+\2\u4520\u4521\5;\36\2\u4521\u4522\5I%\2\u4522") buf.write("\u4523\59\35\2\u4523\u4524\5U+\2\u4524\u4525\5!\21\2\u4525") buf.write("\u4526\5\'\24\2\u4526\u4527\5\'\24\2\u4527\u5853\3\2\2") buf.write("\2\u4528\u4529\5U+\2\u4529\u452a\5%\23\2\u452a\u452b\5") buf.write("/\30\2\u452b\u452c\5!\21\2\u452c\u452d\5;\36\2\u452d\u452e") buf.write("\5-\27\2\u452e\u452f\5)\25\2\u452f\u4530\5U+\2\u4530\u4531") buf.write("\5+\26\2\u4531\u4532\5!\21\2\u4532\u4533\5E#\2\u4533\u4534") buf.write("\5/\30\2\u4534\u4535\5\61\31\2\u4535\u4536\5=\37\2\u4536") buf.write("\u4537\5;\36\2\u4537\u4538\5U+\2\u4538\u4539\5C\"\2\u4539") buf.write("\u453a\5)\25\2\u453a\u453b\5A!\2\u453b\u5853\3\2\2\2\u453c") buf.write("\u453d\5U+\2\u453d\u453e\5M\'\2\u453e\u453f\5!\21\2\u453f") buf.write("\u4540\5C\"\2\u4540\u4541\5? \2\u4541\u4542\5U+\2\u4542") buf.write("\u4543\5? \2\u4543\u4544\5!\21\2\u4544\u4545\5;\36\2\u4545") buf.write("\u4546\5)\25\2\u4546\u4547\5\67\34\2\u4547\u4548\5U+\2") buf.write("\u4548\u4549\5E#\2\u4549\u454a\5G$\2\u454a\u454b\5!\21") buf.write("\2\u454b\u454c\5C\"\2\u454c\u454d\5G$\2\u454d\u5853\3") buf.write("\2\2\2\u454e\u454f\5U+\2\u454f\u4550\5M\'\2\u4550\u4551") buf.write("\5!\21\2\u4551\u4552\5C\"\2\u4552\u4553\5? \2\u4553\u4554") buf.write("\5U+\2\u4554\u4555\5? \2\u4555\u4556\5!\21\2\u4556\u4557") buf.write("\5;\36\2\u4557\u4558\5)\25\2\u4558\u4559\5\67\34\2\u4559") buf.write("\u455a\5U+\2\u455a\u455b\5)\25\2\u455b\u455c\5;\36\2\u455c") buf.write("\u455d\5\'\24\2\u455d\u5853\3\2\2\2\u455e\u455f\5U+\2") buf.write("\u455f\u4560\5%\23\2\u4560\u4561\5=\37\2\u4561\u4562\5") buf.write(";\36\2\u4562\u4563\5U+\2\u4563\u4564\5=\37\2\u4564\u4565") buf.write("\5? \2\u4565\u4566\5)\25\2\u4566\u4567\5;\36\2\u4567\u4568") buf.write("\5U+\2\u4568\u4569\59\35\2\u4569\u456a\5!\21\2\u456a\u456b") buf.write("\5G$\2\u456b\u456c\5%\23\2\u456c\u456d\5/\30\2\u456d\u456e") buf.write("\5\61\31\2\u456e\u456f\5;\36\2\u456f\u4570\5-\27\2\u4570") buf.write("\u4571\5U+\2\u4571\u4572\59\35\2\u4572\u4573\5)\25\2\u4573") buf.write("\u4574\5;\36\2\u4574\u4575\5I%\2\u4575\u5853\3\2\2\2\u4576") buf.write("\u4577\5U+\2\u4577\u4578\5=\37\2\u4578\u4579\5? \2\u4579") buf.write("\u457a\5)\25\2\u457a\u457b\5;\36\2\u457b\u457c\5U+\2\u457c") buf.write("\u457d\5? \2\u457d\u457e\5!\21\2\u457e\u457f\5E#\2\u457f") buf.write("\u4580\5E#\2\u4580\u4581\5M\'\2\u4581\u4582\5=\37\2\u4582") buf.write("\u4583\5C\"\2\u4583\u4584\5\'\24\2\u4584\u4585\5U+\2\u4585") buf.write("\u4586\5E#\2\u4586\u4587\5M\'\2\u4587\u4588\5\65\33\2") buf.write("\u4588\u4589\5)\25\2\u4589\u458a\5Q)\2\u458a\u458b\5#") buf.write("\22\2\u458b\u458c\5=\37\2\u458c\u458d\5!\21\2\u458d\u458e") buf.write("\5C\"\2\u458e\u458f\5\'\24\2\u458f\u5853\3\2\2\2\u4590") buf.write("\u4591\5U+\2\u4591\u4592\5\'\24\2\u4592\u4593\5)\25\2") buf.write("\u4593\u4594\5;\36\2\u4594\u4595\5\'\24\2\u4595\u4596") buf.write("\5=\37\2\u4596\u4597\5I%\2\u4597\u4598\5U+\2\u4598\u4599") buf.write("\5;\36\2\u4599\u459a\5I%\2\u459a\u459b\59\35\2\u459b\u459c") buf.write("\5U+\2\u459c\u459d\5E#\2\u459d\u459e\5)\25\2\u459e\u459f") buf.write("\5G$\2\u459f\u5853\3\2\2\2\u45a0\u45a1\5U+\2\u45a1\u45a2") buf.write("\5G$\2\u45a2\u45a3\5)\25\2\u45a3\u45a4\59\35\2\u45a4\u45a5") buf.write("\5=\37\2\u45a5\u45a6\5G$\2\u45a6\u45a7\5\61\31\2\u45a7") buf.write("\u45a8\5U+\2\u45a8\u45a9\5#\22\2\u45a9\u45aa\5=\37\2\u45aa") buf.write("\u45ab\5O(\2\u45ab\u45ac\5U+\2\u45ac\u45ad\5? \2\u45ad") buf.write("\u45ae\5=\37\2\u45ae\u45af\5\65\33\2\u45af\u45b0\5)\25") buf.write("\2\u45b0\u45b1\5U+\2\u45b1\u45b2\5%\23\2\u45b2\u45b3\5") buf.write("/\30\2\u45b3\u45b4\5\65\33\2\u45b4\u5853\3\2\2\2\u45b5") buf.write("\u45b6\5U+\2\u45b6\u45b7\5G$\2\u45b7\u45b8\5)\25\2\u45b8") buf.write("\u45b9\59\35\2\u45b9\u45ba\5=\37\2\u45ba\u45bb\5G$\2\u45bb") buf.write("\u45bc\5\61\31\2\u45bc\u45bd\5U+\2\u45bd\u45be\5#\22\2") buf.write("\u45be\u45bf\5=\37\2\u45bf\u45c0\5O(\2\u45c0\u45c1\5U") buf.write("+\2\u45c1\u45c2\59\35\2\u45c2\u45c3\5=\37\2\u45c3\u45c4") buf.write("\5;\36\2\u45c4\u45c5\5E#\2\u45c5\u45c6\5;\36\2\u45c6\u45c7") buf.write("\5=\37\2\u45c7\u5853\3\2\2\2\u45c8\u45c9\5U+\2\u45c9\u45ca") buf.write("\5%\23\2\u45ca\u45cb\5!\21\2\u45cb\u45cc\5\67\34\2\u45cc") buf.write("\u45cd\5\67\34\2\u45cd\u45ce\5U+\2\u45ce\u45cf\5M\'\2") buf.write("\u45cf\u45d0\5!\21\2\u45d0\u45d1\5S*\2\u45d1\u45d2\5!") buf.write("\21\2\u45d2\u45d3\5U+\2\u45d3\u45d4\5=\37\2\u45d4\u45d5") buf.write("\59\35\2\u45d5\u45d6\5=\37\2\u45d6\u45d7\5\61\31\2\u45d7") buf.write("\u45d8\5\'\24\2\u45d8\u45d9\5!\21\2\u45d9\u45da\5E#\2") buf.write("\u45da\u45db\5/\30\2\u45db\u45dc\5\61\31\2\u45dc\u45dd") buf.write("\5U+\2\u45dd\u45de\5I%\2\u45de\u45df\5\61\31\2\u45df\u5853") buf.write("\3\2\2\2\u45e0\u45e1\5U+\2\u45e1\u45e2\5%\23\2\u45e2\u45e3") buf.write("\5!\21\2\u45e3\u45e4\5\67\34\2\u45e4\u45e5\5\67\34\2\u45e5") buf.write("\u45e6\5U+\2\u45e6\u45e7\5M\'\2\u45e7\u45e8\5!\21\2\u45e8") buf.write("\u45e9\5S*\2\u45e9\u45ea\5!\21\2\u45ea\u45eb\5U+\2\u45eb") buf.write("\u45ec\5M\'\2\u45ec\u45ed\5!\21\2\u45ed\u45ee\5E#\2\u45ee") buf.write("\u45ef\5I%\2\u45ef\u45f0\5C\"\2\u45f0\u45f1\5)\25\2\u45f1") buf.write("\u45f2\5U+\2\u45f2\u45f3\5I%\2\u45f3\u45f4\5\61\31\2\u45f4") buf.write("\u5853\3\2\2\2\u45f5\u45f6\5U+\2\u45f6\u45f7\5%\23\2\u45f7") buf.write("\u45f8\5!\21\2\u45f8\u45f9\5\67\34\2\u45f9\u45fa\5\67") buf.write("\34\2\u45fa\u45fb\5U+\2\u45fb\u45fc\5M\'\2\u45fc\u45fd") buf.write("\5!\21\2\u45fd\u45fe\5S*\2\u45fe\u45ff\5!\21\2\u45ff\u4600") buf.write("\5U+\2\u4600\u4601\5=\37\2\u4601\u4602\5E#\2\u4602\u4603") buf.write("\5/\30\2\u4603\u4604\5\61\31\2\u4604\u4605\5)\25\2\u4605") buf.write("\u4606\5U+\2\u4606\u4607\5I%\2\u4607\u4608\5\61\31\2\u4608") buf.write("\u5853\3\2\2\2\u4609\u460a\5U+\2\u460a\u460b\5%\23\2\u460b") buf.write("\u460c\5/\30\2\u460c\u460d\5)\25\2\u460d\u460e\5%\23\2") buf.write("\u460e\u460f\5\65\33\2\u460f\u4610\5U+\2\u4610\u4611\5") buf.write("M\'\2\u4611\u4612\5!\21\2\u4612\u4613\5S*\2\u4613\u4614") buf.write("\5!\21\2\u4614\u4615\5U+\2\u4615\u4616\5=\37\2\u4616\u4617") buf.write("\5E#\2\u4617\u4618\5/\30\2\u4618\u4619\5\61\31\2\u4619") buf.write("\u461a\5)\25\2\u461a\u5853\3\2\2\2\u461b\u461c\5U+\2\u461c") buf.write("\u461d\5%\23\2\u461d\u461e\5/\30\2\u461e\u461f\5)\25\2") buf.write("\u461f\u4620\5%\23\2\u4620\u4621\5\65\33\2\u4621\u4622") buf.write("\5U+\2\u4622\u4623\5M\'\2\u4623\u4624\5!\21\2\u4624\u4625") buf.write("\5S*\2\u4625\u4626\5!\21\2\u4626\u4627\5U+\2\u4627\u4628") buf.write("\5=\37\2\u4628\u4629\5E#\2\u4629\u462a\5/\30\2\u462a\u462b") buf.write("\5\61\31\2\u462b\u462c\5)\25\2\u462c\u462d\5U+\2\u462d") buf.write("\u462e\5!\21\2\u462e\u462f\5\67\34\2\u462f\u4630\5\67") buf.write("\34\2\u4630\u5853\3\2\2\2\u4631\u4632\5U+\2\u4632\u4633") buf.write("\5G$\2\u4633\u4634\5)\25\2\u4634\u4635\59\35\2\u4635\u4636") buf.write("\5=\37\2\u4636\u4637\5G$\2\u4637\u4638\5\61\31\2\u4638") buf.write("\u4639\5U+\2\u4639\u463a\5#\22\2\u463a\u463b\5=\37\2\u463b") buf.write("\u463c\5O(\2\u463c\u463d\5U+\2\u463d\u463e\5? \2\u463e") buf.write("\u463f\5=\37\2\u463f\u4640\5\65\33\2\u4640\u4641\5)\25") buf.write("\2\u4641\u4642\59\35\2\u4642\u4643\5=\37\2\u4643\u4644") buf.write("\5;\36\2\u4644\u4645\5U+\2\u4645\u4646\5;\36\2\u4646\u4647") buf.write("\5!\21\2\u4647\u4648\59\35\2\u4648\u4649\5)\25\2\u4649") buf.write("\u5853\3\2\2\2\u464a\u464b\5U+\2\u464b\u464c\5#\22\2\u464c") buf.write("\u464d\5G$\2\u464d\u464e\5M\'\2\u464e\u464f\5C\"\2\u464f") buf.write("\u4650\5U+\2\u4650\u4651\5G$\2\u4651\u4652\5=\37\2\u4652") buf.write("\u4653\5=\37\2\u4653\u4654\5\67\34\2\u4654\u4655\5U+\2") buf.write("\u4655\u4656\5%\23\2\u4656\u4657\5/\30\2\u4657\u4658\5") buf.write("\65\33\2\u4658\u4659\5U+\2\u4659\u465a\5)\25\2\u465a\u465b") buf.write("\5;\36\2\u465b\u465c\5G$\2\u465c\u465d\5C\"\2\u465d\u465e") buf.write("\5Q)\2\u465e\u465f\5U+\2\u465f\u4660\5? \2\u4660\u4661") buf.write("\5=\37\2\u4661\u4662\5\65\33\2\u4662\u4663\5)\25\2\u4663") buf.write("\u4664\5U+\2\u4664\u4665\5;\36\2\u4665\u4666\5I%\2\u4666") buf.write("\u4667\59\35\2\u4667\u5853\3\2\2\2\u4668\u4669\5U+\2\u4669") buf.write("\u466a\5#\22\2\u466a\u466b\5G$\2\u466b\u466c\5M\'\2\u466c") buf.write("\u466d\5C\"\2\u466d\u466e\5U+\2\u466e\u466f\5G$\2\u466f") buf.write("\u4670\5=\37\2\u4670\u4671\5=\37\2\u4671\u4672\5\67\34") buf.write("\2\u4672\u4673\5U+\2\u4673\u4674\5%\23\2\u4674\u4675\5") buf.write("\67\34\2\u4675\u4676\5)\25\2\u4676\u4677\5!\21\2\u4677") buf.write("\u4678\5C\"\2\u4678\u4679\5U+\2\u4679\u467a\5? \2\u467a") buf.write("\u467b\5\67\34\2\u467b\u467c\5!\21\2\u467c\u467d\5Q)\2") buf.write("\u467d\u467e\5U+\2\u467e\u467f\5\'\24\2\u467f\u4680\5") buf.write("!\21\2\u4680\u4681\5G$\2\u4681\u4682\5!\21\2\u4682\u5853") buf.write("\3\2\2\2\u4683\u4684\5U+\2\u4684\u4685\5#\22\2\u4685\u4686") buf.write("\5G$\2\u4686\u4687\5M\'\2\u4687\u4688\5C\"\2\u4688\u4689") buf.write("\5U+\2\u4689\u468a\5G$\2\u468a\u468b\5=\37\2\u468b\u468c") buf.write("\5=\37\2\u468c\u468d\5\67\34\2\u468d\u468e\5U+\2\u468e") buf.write("\u468f\5? \2\u468f\u4690\5I%\2\u4690\u4691\5E#\2\u4691") buf.write("\u4692\5/\30\2\u4692\u4693\5U+\2\u4693\u4694\5;\36\2\u4694") buf.write("\u4695\5=\37\2\u4695\u4696\5M\'\2\u4696\u4697\5U+\2\u4697") buf.write("\u4698\5\67\34\2\u4698\u4699\5=\37\2\u4699\u469a\5%\23") buf.write("\2\u469a\u469b\5!\21\2\u469b\u469c\5G$\2\u469c\u469d\5") buf.write("\61\31\2\u469d\u469e\5=\37\2\u469e\u469f\5;\36\2\u469f") buf.write("\u5853\3\2\2\2\u46a0\u46a1\5U+\2\u46a1\u46a2\5#\22\2\u46a2") buf.write("\u46a3\5G$\2\u46a3\u46a4\5M\'\2\u46a4\u46a5\5C\"\2\u46a5") buf.write("\u46a6\5U+\2\u46a6\u46a7\5G$\2\u46a7\u46a8\5=\37\2\u46a8") buf.write("\u46a9\5=\37\2\u46a9\u46aa\5\67\34\2\u46aa\u46ab\5U+\2") buf.write("\u46ab\u46ac\5? \2\u46ac\u46ad\5=\37\2\u46ad\u46ae\5?") buf.write(" \2\u46ae\u46af\5U+\2\u46af\u46b0\5;\36\2\u46b0\u46b1") buf.write("\5=\37\2\u46b1\u46b2\5M\'\2\u46b2\u46b3\5U+\2\u46b3\u46b4") buf.write("\5\67\34\2\u46b4\u46b5\5=\37\2\u46b5\u46b6\5%\23\2\u46b6") buf.write("\u46b7\5!\21\2\u46b7\u46b8\5G$\2\u46b8\u46b9\5\61\31\2") buf.write("\u46b9\u46ba\5=\37\2\u46ba\u46bb\5;\36\2\u46bb\u5853\3") buf.write("\2\2\2\u46bc\u46bd\5U+\2\u46bd\u46be\5#\22\2\u46be\u46bf") buf.write("\5G$\2\u46bf\u46c0\5M\'\2\u46c0\u46c1\5C\"\2\u46c1\u46c2") buf.write("\5U+\2\u46c2\u46c3\5G$\2\u46c3\u46c4\5=\37\2\u46c4\u46c5") buf.write("\5=\37\2\u46c5\u46c6\5\67\34\2\u46c6\u46c7\5U+\2\u46c7") buf.write("\u46c8\5-\27\2\u46c8\u46c9\5)\25\2\u46c9\u46ca\5G$\2\u46ca") buf.write("\u46cb\5U+\2\u46cb\u46cc\5M\'\2\u46cc\u46cd\5\61\31\2") buf.write("\u46cd\u46ce\5+\26\2\u46ce\u46cf\5\61\31\2\u46cf\u46d0") buf.write("\5U+\2\u46d0\u46d1\5C\"\2\u46d1\u46d2\5!\21\2\u46d2\u46d3") buf.write("\5;\36\2\u46d3\u46d4\5\65\33\2\u46d4\u5853\3\2\2\2\u46d5") buf.write("\u46d6\5U+\2\u46d6\u46d7\5#\22\2\u46d7\u46d8\5G$\2\u46d8") buf.write("\u46d9\5M\'\2\u46d9\u46da\5C\"\2\u46da\u46db\5U+\2\u46db") buf.write("\u46dc\5G$\2\u46dc\u46dd\5=\37\2\u46dd\u46de\5=\37\2\u46de") buf.write("\u46df\5\67\34\2\u46df\u46e0\5U+\2\u46e0\u46e1\5E#\2\u46e1") buf.write("\u46e2\5)\25\2\u46e2\u46e3\5G$\2\u46e3\u46e4\5U+\2\u46e4") buf.write("\u46e5\5? \2\u46e5\u46e6\5\67\34\2\u46e6\u46e7\5!\21\2") buf.write("\u46e7\u46e8\5Q)\2\u46e8\u46e9\5U+\2\u46e9\u46ea\59\35") buf.write("\2\u46ea\u46eb\5=\37\2\u46eb\u46ec\5\'\24\2\u46ec\u46ed") buf.write("\5)\25\2\u46ed\u5853\3\2\2\2\u46ee\u46ef\5U+\2\u46ef\u46f0") buf.write("\5#\22\2\u46f0\u46f1\5G$\2\u46f1\u46f2\5M\'\2\u46f2\u46f3") buf.write("\5C\"\2\u46f3\u46f4\5U+\2\u46f4\u46f5\5G$\2\u46f5\u46f6") buf.write("\5=\37\2\u46f6\u46f7\5=\37\2\u46f7\u46f8\5\67\34\2\u46f8") buf.write("\u46f9\5U+\2\u46f9\u46fa\5E#\2\u46fa\u46fb\5)\25\2\u46fb") buf.write("\u46fc\5G$\2\u46fc\u46fd\5U+\2\u46fd\u46fe\5;\36\2\u46fe") buf.write("\u46ff\5=\37\2\u46ff\u4700\5M\'\2\u4700\u4701\5U+\2\u4701") buf.write("\u4702\5M\'\2\u4702\u4703\5\61\31\2\u4703\u4704\5;\36") buf.write("\2\u4704\u5853\3\2\2\2\u4705\u4706\5U+\2\u4706\u4707\5") buf.write("#\22\2\u4707\u4708\5G$\2\u4708\u4709\5M\'\2\u4709\u470a") buf.write("\5C\"\2\u470a\u470b\5U+\2\u470b\u470c\5G$\2\u470c\u470d") buf.write("\5=\37\2\u470d\u470e\5=\37\2\u470e\u470f\5\67\34\2\u470f") buf.write("\u4710\5U+\2\u4710\u4711\5E#\2\u4711\u4712\5)\25\2\u4712") buf.write("\u4713\5G$\2\u4713\u4714\5U+\2\u4714\u4715\5C\"\2\u4715") buf.write("\u4716\5!\21\2\u4716\u4717\5;\36\2\u4717\u4718\5\65\33") buf.write("\2\u4718\u5853\3\2\2\2\u4719\u471a\5U+\2\u471a\u471b\5") buf.write("#\22\2\u471b\u471c\5G$\2\u471c\u471d\5M\'\2\u471d\u471e") buf.write("\5C\"\2\u471e\u471f\5U+\2\u471f\u4720\5E#\2\u4720\u4721") buf.write("\5I%\2\u4721\u4722\5#\22\2\u4722\u4723\5U+\2\u4723\u4724") buf.write("\5%\23\2\u4724\u4725\5/\30\2\u4725\u4726\5\65\33\2\u4726") buf.write("\u4727\5U+\2\u4727\u4728\5)\25\2\u4728\u4729\5;\36\2\u4729") buf.write("\u472a\5G$\2\u472a\u472b\5C\"\2\u472b\u472c\5Q)\2\u472c") buf.write("\u472d\5U+\2\u472d\u472e\5? \2\u472e\u472f\5=\37\2\u472f") buf.write("\u4730\5\65\33\2\u4730\u4731\5)\25\2\u4731\u5853\3\2\2") buf.write("\2\u4732\u4733\5U+\2\u4733\u4734\5#\22\2\u4734\u4735\5") buf.write("G$\2\u4735\u4736\5M\'\2\u4736\u4737\5C\"\2\u4737\u4738") buf.write("\5U+\2\u4738\u4739\5E#\2\u4739\u473a\5I%\2\u473a\u473b") buf.write("\5#\22\2\u473b\u473c\5U+\2\u473c\u473d\5-\27\2\u473d\u473e") buf.write("\5)\25\2\u473e\u473f\5G$\2\u473f\u4740\5U+\2\u4740\u4741") buf.write("\5;\36\2\u4741\u4742\5=\37\2\u4742\u4743\5M\'\2\u4743") buf.write("\u4744\5U+\2\u4744\u4745\5C\"\2\u4745\u4746\5=\37\2\u4746") buf.write("\u4747\5I%\2\u4747\u4748\5;\36\2\u4748\u4749\5\'\24\2") buf.write("\u4749\u5853\3\2\2\2\u474a\u474b\5U+\2\u474b\u474c\5#") buf.write("\22\2\u474c\u474d\5G$\2\u474d\u474e\5M\'\2\u474e\u474f") buf.write("\5C\"\2\u474f\u4750\5U+\2\u4750\u4751\5E#\2\u4751\u4752") buf.write("\5I%\2\u4752\u4753\5#\22\2\u4753\u4754\5U+\2\u4754\u4755") buf.write("\5\61\31\2\u4755\u4756\5;\36\2\u4756\u4757\5%\23\2\u4757") buf.write("\u4758\5U+\2\u4758\u4759\5C\"\2\u4759\u475a\5=\37\2\u475a") buf.write("\u475b\5I%\2\u475b\u475c\5;\36\2\u475c\u475d\5\'\24\2") buf.write("\u475d\u5853\3\2\2\2\u475e\u475f\5U+\2\u475f\u4760\5#") buf.write("\22\2\u4760\u4761\5G$\2\u4761\u4762\5M\'\2\u4762\u4763") buf.write("\5C\"\2\u4763\u4764\5U+\2\u4764\u4765\5E#\2\u4765\u4766") buf.write("\5I%\2\u4766\u4767\5#\22\2\u4767\u4768\5U+\2\u4768\u4769") buf.write("\5\61\31\2\u4769\u476a\5E#\2\u476a\u476b\5U+\2\u476b\u476c") buf.write("\5%\23\2\u476c\u476d\5\67\34\2\u476d\u476e\5)\25\2\u476e") buf.write("\u476f\5!\21\2\u476f\u4770\5C\"\2\u4770\u5853\3\2\2\2") buf.write("\u4771\u4772\5U+\2\u4772\u4773\5#\22\2\u4773\u4774\5G") buf.write("$\2\u4774\u4775\5M\'\2\u4775\u4776\5C\"\2\u4776\u4777") buf.write("\5U+\2\u4777\u4778\5E#\2\u4778\u4779\5I%\2\u4779\u477a") buf.write("\5#\22\2\u477a\u477b\5U+\2\u477b\u477c\5-\27\2\u477c\u477d") buf.write("\5)\25\2\u477d\u477e\5G$\2\u477e\u477f\5U+\2\u477f\u4780") buf.write("\5C\"\2\u4780\u4781\5)\25\2\u4781\u4782\5;\36\2\u4782") buf.write("\u4783\5E#\2\u4783\u4784\5/\30\2\u4784\u4785\5=\37\2\u4785") buf.write("\u4786\5I%\2\u4786\u4787\5U+\2\u4787\u4788\5%\23\2\u4788") buf.write("\u4789\5;\36\2\u4789\u478a\5G$\2\u478a\u5853\3\2\2\2\u478b") buf.write("\u478c\5U+\2\u478c\u478d\5#\22\2\u478d\u478e\5G$\2\u478e") buf.write("\u478f\5M\'\2\u478f\u4790\5C\"\2\u4790\u4791\5U+\2\u4791") buf.write("\u4792\5E#\2\u4792\u4793\5I%\2\u4793\u4794\5#\22\2\u4794") buf.write("\u4795\5U+\2\u4795\u4796\5E#\2\u4796\u4797\5)\25\2\u4797") buf.write("\u4798\5G$\2\u4798\u4799\5U+\2\u4799\u479a\5E#\2\u479a") buf.write("\u479b\5%\23\2\u479b\u479c\5=\37\2\u479c\u479d\5C\"\2") buf.write("\u479d\u479e\5)\25\2\u479e\u5853\3\2\2\2\u479f\u47a0\5") buf.write("U+\2\u47a0\u47a1\5#\22\2\u47a1\u47a2\5G$\2\u47a2\u47a3") buf.write("\5M\'\2\u47a3\u47a4\5C\"\2\u47a4\u47a5\5U+\2\u47a5\u47a6") buf.write("\5E#\2\u47a6\u47a7\5I%\2\u47a7\u47a8\5#\22\2\u47a8\u47a9") buf.write("\5U+\2\u47a9\u47aa\5%\23\2\u47aa\u47ab\5/\30\2\u47ab\u47ac") buf.write("\5=\37\2\u47ac\u47ad\5\61\31\2\u47ad\u47ae\5%\23\2\u47ae") buf.write("\u47af\5)\25\2\u47af\u47b0\5U+\2\u47b0\u47b1\5#\22\2\u47b1") buf.write("\u47b2\5G$\2\u47b2\u47b3\5\67\34\2\u47b3\u47b4\5U+\2\u47b4") buf.write("\u47b5\5? \2\u47b5\u47b6\5!\21\2\u47b6\u47b7\5C\"\2\u47b7") buf.write("\u47b8\5G$\2\u47b8\u47b9\5;\36\2\u47b9\u47ba\5)\25\2\u47ba") buf.write("\u47bb\5C\"\2\u47bb\u5853\3\2\2\2\u47bc\u47bd\5U+\2\u47bd") buf.write("\u47be\5#\22\2\u47be\u47bf\5G$\2\u47bf\u47c0\5M\'\2\u47c0") buf.write("\u47c1\5C\"\2\u47c1\u47c2\5U+\2\u47c2\u47c3\5E#\2\u47c3") buf.write("\u47c4\5I%\2\u47c4\u47c5\5#\22\2\u47c5\u47c6\5U+\2\u47c6") buf.write("\u47c7\5\67\34\2\u47c7\u47c8\5=\37\2\u47c8\u47c9\5%\23") buf.write("\2\u47c9\u47ca\5!\21\2\u47ca\u47cb\5\67\34\2\u47cb\u47cc") buf.write("\5U+\2\u47cc\u47cd\5#\22\2\u47cd\u47ce\5G$\2\u47ce\u47cf") buf.write("\5\67\34\2\u47cf\u47d0\5U+\2\u47d0\u47d1\5%\23\2\u47d1") buf.write("\u47d2\5!\21\2\u47d2\u47d3\5\67\34\2\u47d3\u47d4\5\67") buf.write("\34\2\u47d4\u5853\3\2\2\2\u47d5\u47d6\5U+\2\u47d6\u47d7") buf.write("\5#\22\2\u47d7\u47d8\5G$\2\u47d8\u47d9\5M\'\2\u47d9\u47da") buf.write("\5C\"\2\u47da\u47db\5U+\2\u47db\u47dc\5E#\2\u47dc\u47dd") buf.write("\5I%\2\u47dd\u47de\5#\22\2\u47de\u47df\5U+\2\u47df\u47e0") buf.write("\5-\27\2\u47e0\u47e1\5)\25\2\u47e1\u47e2\5G$\2\u47e2\u47e3") buf.write("\5U+\2\u47e3\u47e4\5? \2\u47e4\u47e5\5\67\34\2\u47e5\u47e6") buf.write("\5!\21\2\u47e6\u47e7\5Q)\2\u47e7\u47e8\5U+\2\u47e8\u47e9") buf.write("\59\35\2\u47e9\u47ea\5=\37\2\u47ea\u47eb\5\'\24\2\u47eb") buf.write("\u47ec\5)\25\2\u47ec\u5853\3\2\2\2\u47ed\u47ee\5U+\2\u47ee") buf.write("\u47ef\5#\22\2\u47ef\u47f0\5G$\2\u47f0\u47f1\5M\'\2\u47f1") buf.write("\u47f2\5C\"\2\u47f2\u47f3\5U+\2\u47f3\u47f4\5E#\2\u47f4") buf.write("\u47f5\5I%\2\u47f5\u47f6\5#\22\2\u47f6\u47f7\5U+\2\u47f7") buf.write("\u47f8\5E#\2\u47f8\u47f9\5)\25\2\u47f9\u47fa\5G$\2\u47fa") buf.write("\u47fb\5U+\2\u47fb\u47fc\5\67\34\2\u47fc\u47fd\5)\25\2") buf.write("\u47fd\u47fe\5!\21\2\u47fe\u47ff\5\'\24\2\u47ff\u4800") buf.write("\5)\25\2\u4800\u4801\5C\"\2\u4801\u4802\5U+\2\u4802\u4803") buf.write("\5%\23\2\u4803\u4804\5\67\34\2\u4804\u4805\5)\25\2\u4805") buf.write("\u4806\5!\21\2\u4806\u4807\5C\"\2\u4807\u4808\5U+\2\u4808") buf.write("\u4809\5+\26\2\u4809\u480a\5\67\34\2\u480a\u480b\5!\21") buf.write("\2\u480b\u480c\5-\27\2\u480c\u5853\3\2\2\2\u480d\u480e") buf.write("\5U+\2\u480e\u480f\5#\22\2\u480f\u4810\5G$\2\u4810\u4811") buf.write("\5M\'\2\u4811\u4812\5C\"\2\u4812\u4813\5U+\2\u4813\u4814") buf.write("\5E#\2\u4814\u4815\5I%\2\u4815\u4816\5#\22\2\u4816\u4817") buf.write("\5U+\2\u4817\u4818\5-\27\2\u4818\u4819\5)\25\2\u4819\u481a") buf.write("\5G$\2\u481a\u481b\5U+\2\u481b\u481c\5\67\34\2\u481c\u481d") buf.write("\5)\25\2\u481d\u481e\5!\21\2\u481e\u481f\5\'\24\2\u481f") buf.write("\u4820\5)\25\2\u4820\u4821\5C\"\2\u4821\u4822\5U+\2\u4822") buf.write("\u4823\5%\23\2\u4823\u4824\5\67\34\2\u4824\u4825\5)\25") buf.write("\2\u4825\u4826\5!\21\2\u4826\u4827\5C\"\2\u4827\u4828") buf.write("\5U+\2\u4828\u4829\5+\26\2\u4829\u482a\5\67\34\2\u482a") buf.write("\u482b\5!\21\2\u482b\u482c\5-\27\2\u482c\u5853\3\2\2\2") buf.write("\u482d\u482e\5U+\2\u482e\u482f\5#\22\2\u482f\u4830\5G") buf.write("$\2\u4830\u4831\5M\'\2\u4831\u4832\5C\"\2\u4832\u4833") buf.write("\5U+\2\u4833\u4834\5E#\2\u4834\u4835\5I%\2\u4835\u4836") buf.write("\5#\22\2\u4836\u4837\5U+\2\u4837\u4838\5!\21\2\u4838\u4839") buf.write("\5\'\24\2\u4839\u483a\5\'\24\2\u483a\u483b\5U+\2\u483b") buf.write("\u483c\5#\22\2\u483c\u483d\5!\21\2\u483d\u483e\5G$\2\u483e") buf.write("\u483f\5G$\2\u483f\u4840\5\67\34\2\u4840\u4841\5)\25\2") buf.write("\u4841\u4842\5U+\2\u4842\u4843\5? \2\u4843\u4844\5=\37") buf.write("\2\u4844\u4845\5\61\31\2\u4845\u4846\5;\36\2\u4846\u4847") buf.write("\5G$\2\u4847\u5853\3\2\2\2\u4848\u4849\5U+\2\u4849\u484a") buf.write("\5#\22\2\u484a\u484b\5G$\2\u484b\u484c\5M\'\2\u484c\u484d") buf.write("\5C\"\2\u484d\u484e\5U+\2\u484e\u484f\5E#\2\u484f\u4850") buf.write("\5I%\2\u4850\u4851\5#\22\2\u4851\u4852\5U+\2\u4852\u4853") buf.write("\5C\"\2\u4853\u4854\5)\25\2\u4854\u4855\5;\36\2\u4855") buf.write("\u4856\5E#\2\u4856\u4857\5/\30\2\u4857\u4858\5=\37\2\u4858") buf.write("\u4859\5I%\2\u4859\u485a\5U+\2\u485a\u485b\5C\"\2\u485b") buf.write("\u485c\5\61\31\2\u485c\u485d\5#\22\2\u485d\u485e\5#\22") buf.write("\2\u485e\u485f\5=\37\2\u485f\u4860\5;\36\2\u4860\u4861") buf.write("\5U+\2\u4861\u4862\5E#\2\u4862\u4863\5)\25\2\u4863\u4864") buf.write("\5G$\2\u4864\u5853\3\2\2\2\u4865\u4866\5U+\2\u4866\u4867") buf.write("\5#\22\2\u4867\u4868\5G$\2\u4868\u4869\5M\'\2\u4869\u486a") buf.write("\5C\"\2\u486a\u486b\5U+\2\u486b\u486c\5E#\2\u486c\u486d") buf.write("\5I%\2\u486d\u486e\5#\22\2\u486e\u486f\5U+\2\u486f\u4870") buf.write("\5-\27\2\u4870\u4871\5)\25\2\u4871\u4872\5G$\2\u4872\u4873") buf.write("\5U+\2\u4873\u4874\59\35\2\u4874\u4875\5\61\31\2\u4875") buf.write("\u4876\5;\36\2\u4876\u4877\5)\25\2\u4877\u4878\5U+\2\u4878") buf.write("\u4879\5=\37\2\u4879\u487a\5#\22\2\u487a\u487b\5\63\32") buf.write("\2\u487b\u5853\3\2\2\2\u487c\u487d\5U+\2\u487d\u487e\5") buf.write("#\22\2\u487e\u487f\5G$\2\u487f\u4880\5M\'\2\u4880\u4881") buf.write("\5C\"\2\u4881\u4882\5U+\2\u4882\u4883\5E#\2\u4883\u4884") buf.write("\5I%\2\u4884\u4885\5#\22\2\u4885\u4886\5U+\2\u4886\u4887") buf.write("\5I%\2\u4887\u4888\5? \2\u4888\u4889\5\'\24\2\u4889\u488a") buf.write("\5!\21\2\u488a\u488b\5G$\2\u488b\u488c\5)\25\2\u488c\u488d") buf.write("\5U+\2\u488d\u488e\5C\"\2\u488e\u488f\5!\21\2\u488f\u4890") buf.write("\5;\36\2\u4890\u4891\5\'\24\2\u4891\u4892\5=\37\2\u4892") buf.write("\u4893\59\35\2\u4893\u5853\3\2\2\2\u4894\u4895\5U+\2\u4895") buf.write("\u4896\5#\22\2\u4896\u4897\5G$\2\u4897\u4898\5M\'\2\u4898") buf.write("\u4899\5C\"\2\u4899\u489a\5U+\2\u489a\u489b\5\'\24\2\u489b") buf.write("\u489c\5)\25\2\u489c\u489d\5#\22\2\u489d\u489e\5U+\2\u489e") buf.write("\u489f\5\61\31\2\u489f\u48a0\5E#\2\u48a0\u48a1\5U+\2\u48a1") buf.write("\u48a2\5M\'\2\u48a2\u48a3\5=\37\2\u48a3\u48a4\5C\"\2\u48a4") buf.write("\u48a5\5\65\33\2\u48a5\u48a6\5U+\2\u48a6\u48a7\5;\36\2") buf.write("\u48a7\u48a8\5I%\2\u48a8\u48a9\5\67\34\2\u48a9\u48aa\5") buf.write("\67\34\2\u48aa\u5853\3\2\2\2\u48ab\u48ac\5U+\2\u48ac\u48ad") buf.write("\5#\22\2\u48ad\u48ae\5=\37\2\u48ae\u48af\5I%\2\u48af\u48b0") buf.write("\5\65\33\2\u48b0\u48b1\5)\25\2\u48b1\u48b2\5;\36\2\u48b2") buf.write("\u48b3\5;\36\2\u48b3\u48b4\5=\37\2\u48b4\u48b5\5=\37\2") buf.write("\u48b5\u48b6\5G$\2\u48b6\u48b7\5=\37\2\u48b7\u48b8\5U") buf.write("+\2\u48b8\u48b9\5G$\2\u48b9\u48ba\5\61\31\2\u48ba\u48bb") buf.write("\5? \2\u48bb\u48bc\5E#\2\u48bc\u48bd\5U+\2\u48bd\u48be") buf.write("\5M\'\2\u48be\u48bf\5!\21\2\u48bf\u48c0\5\61\31\2\u48c0") buf.write("\u48c1\5G$\2\u48c1\u5853\3\2\2\2\u48c2\u48c3\5U+\2\u48c3") buf.write("\u48c4\5E#\2\u48c4\u48c5\5!\21\2\u48c5\u48c6\5K&\2\u48c6") buf.write("\u48c7\5)\25\2\u48c7\u48c8\5U+\2\u48c8\u48c9\5C\"\2\u48c9") buf.write("\u48ca\5)\25\2\u48ca\u48cb\5;\36\2\u48cb\u48cc\5\'\24") buf.write("\2\u48cc\u48cd\5=\37\2\u48cd\u48ce\5I%\2\u48ce\u48cf\5") buf.write("U+\2\u48cf\u48d0\5)\25\2\u48d0\u48d1\5;\36\2\u48d1\u48d2") buf.write("\5!\21\2\u48d2\u48d3\5#\22\2\u48d3\u48d4\5\67\34\2\u48d4") buf.write("\u48d5\5)\25\2\u48d5\u5853\3\2\2\2\u48d6\u48d7\5U+\2\u48d7") buf.write("\u48d8\5C\"\2\u48d8\u48d9\5)\25\2\u48d9\u48da\5G$\2\u48da") buf.write("\u48db\5I%\2\u48db\u48dc\5C\"\2\u48dc\u48dd\5;\36\2\u48dd") buf.write("\u48de\5U+\2\u48de\u48df\5\67\34\2\u48df\u48e0\5=\37\2") buf.write("\u48e0\u48e1\5=\37\2\u48e1\u48e2\5? \2\u48e2\u5853\3\2") buf.write("\2\2\u48e3\u48e4\5U+\2\u48e4\u48e5\5\61\31\2\u48e5\u48e6") buf.write("\5;\36\2\u48e6\u48e7\5? \2\u48e7\u48e8\5I%\2\u48e8\u48e9") buf.write("\5G$\2\u48e9\u48ea\5U+\2\u48ea\u48eb\5\63\32\2\u48eb\u48ec") buf.write("\5I%\2\u48ec\u48ed\59\35\2\u48ed\u48ee\5? \2\u48ee\u5853") buf.write("\3\2\2\2\u48ef\u48f0\5U+\2\u48f0\u48f1\5#\22\2\u48f1\u48f2") buf.write("\5G$\2\u48f2\u48f3\5M\'\2\u48f3\u48f4\5C\"\2\u48f4\u48f5") buf.write("\5U+\2\u48f5\u48f6\5E#\2\u48f6\u48f7\5I%\2\u48f7\u48f8") buf.write("\5#\22\2\u48f8\u48f9\5U+\2\u48f9\u48fa\5#\22\2\u48fa\u48fb") buf.write("\5G$\2\u48fb\u48fc\5\67\34\2\u48fc\u48fd\5U+\2\u48fd\u48fe") buf.write("\5G$\2\u48fe\u48ff\5C\"\2\u48ff\u4900\5!\21\2\u4900\u4901") buf.write("\5\61\31\2\u4901\u4902\5;\36\2\u4902\u4903\5)\25\2\u4903") buf.write("\u4904\5C\"\2\u4904\u4905\5U+\2\u4905\u4906\5E#\2\u4906") buf.write("\u4907\5)\25\2\u4907\u4908\5G$\2\u4908\u5853\3\2\2\2\u4909") buf.write("\u490a\5U+\2\u490a\u490b\5#\22\2\u490b\u490c\5G$\2\u490c") buf.write("\u490d\5M\'\2\u490d\u490e\5C\"\2\u490e\u490f\5U+\2\u490f") buf.write("\u4910\5E#\2\u4910\u4911\5I%\2\u4911\u4912\5#\22\2\u4912") buf.write("\u4913\5U+\2\u4913\u4914\5-\27\2\u4914\u4915\5)\25\2\u4915") buf.write("\u4916\5G$\2\u4916\u4917\5U+\2\u4917\u4918\5C\"\2\u4918") buf.write("\u4919\5!\21\2\u4919\u491a\5;\36\2\u491a\u491b\5\65\33") buf.write("\2\u491b\u5853\3\2\2\2\u491c\u491d\5U+\2\u491d\u491e\5") buf.write("#\22\2\u491e\u491f\5G$\2\u491f\u4920\5M\'\2\u4920\u4921") buf.write("\5C\"\2\u4921\u4922\5U+\2\u4922\u4923\5E#\2\u4923\u4924") buf.write("\5I%\2\u4924\u4925\5#\22\2\u4925\u4926\5U+\2\u4926\u4927") buf.write("\5C\"\2\u4927\u4928\5!\21\2\u4928\u4929\5;\36\2\u4929") buf.write("\u492a\5\65\33\2\u492a\u492b\5U+\2\u492b\u492c\5\'\24") buf.write("\2\u492c\u492d\5=\37\2\u492d\u492e\5M\'\2\u492e\u492f") buf.write("\5;\36\2\u492f\u4930\5U+\2\u4930\u4931\5\67\34\2\u4931") buf.write("\u4932\5=\37\2\u4932\u4933\5E#\2\u4933\u4934\5)\25\2\u4934") buf.write("\u5853\3\2\2\2\u4935\u4936\5U+\2\u4936\u4937\5#\22\2\u4937") buf.write("\u4938\5G$\2\u4938\u4939\5M\'\2\u4939\u493a\5C\"\2\u493a") buf.write("\u493b\5U+\2\u493b\u493c\5E#\2\u493c\u493d\5I%\2\u493d") buf.write("\u493e\5#\22\2\u493e\u493f\5U+\2\u493f\u4940\5C\"\2\u4940") buf.write("\u4941\5!\21\2\u4941\u4942\5;\36\2\u4942\u4943\5\65\33") buf.write("\2\u4943\u4944\5U+\2\u4944\u4945\5\'\24\2\u4945\u4946") buf.write("\5=\37\2\u4946\u4947\5M\'\2\u4947\u4948\5;\36\2\u4948") buf.write("\u4949\5U+\2\u4949\u494a\5\67\34\2\u494a\u494b\5=\37\2") buf.write("\u494b\u494c\5E#\2\u494c\u494d\5)\25\2\u494d\u494e\5U") buf.write("+\2\u494e\u494f\5C\"\2\u494f\u4950\5)\25\2\u4950\u4951") buf.write("\5E#\2\u4951\u4952\5)\25\2\u4952\u4953\5G$\2\u4953\u5853") buf.write("\3\2\2\2\u4954\u4955\5U+\2\u4955\u4956\5#\22\2\u4956\u4957") buf.write("\5G$\2\u4957\u4958\5M\'\2\u4958\u4959\5C\"\2\u4959\u495a") buf.write("\5U+\2\u495a\u495b\5E#\2\u495b\u495c\5I%\2\u495c\u495d") buf.write("\5#\22\2\u495d\u495e\5U+\2\u495e\u495f\5!\21\2\u495f\u4960") buf.write("\5\'\24\2\u4960\u4961\5\'\24\2\u4961\u4962\5U+\2\u4962") buf.write("\u4963\5\67\34\2\u4963\u4964\5=\37\2\u4964\u4965\5E#\2") buf.write("\u4965\u4966\5)\25\2\u4966\u5853\3\2\2\2\u4967\u4968\5") buf.write("U+\2\u4968\u4969\5E#\2\u4969\u496a\5)\25\2\u496a\u496b") buf.write("\5G$\2\u496b\u496c\5U+\2\u496c\u496d\5K&\2\u496d\u496e") buf.write("\5\61\31\2\u496e\u496f\5E#\2\u496f\u4970\5\61\31\2\u4970") buf.write("\u4971\5#\22\2\u4971\u4972\5\61\31\2\u4972\u4973\5\67") buf.write("\34\2\u4973\u4974\5\61\31\2\u4974\u4975\5G$\2\u4975\u4976") buf.write("\5Q)\2\u4976\u5853\3\2\2\2\u4977\u4978\5U+\2\u4978\u4979") buf.write("\5\67\34\2\u4979\u497a\5=\37\2\u497a\u497b\5!\21\2\u497b") buf.write("\u497c\5\'\24\2\u497c\u497d\5U+\2\u497d\u497e\5%\23\2") buf.write("\u497e\u497f\5!\21\2\u497f\u4980\59\35\2\u4980\u4981\5") buf.write(")\25\2\u4981\u4982\5C\"\2\u4982\u4983\5!\21\2\u4983\u4984") buf.write("\5U+\2\u4984\u4985\5%\23\2\u4985\u4986\5=\37\2\u4986\u4987") buf.write("\5;\36\2\u4987\u4988\5G$\2\u4988\u4989\5C\"\2\u4989\u498a") buf.write("\5=\37\2\u498a\u498b\5\67\34\2\u498b\u498c\5\67\34\2\u498c") buf.write("\u498d\5)\25\2\u498d\u498e\5C\"\2\u498e\u5853\3\2\2\2") buf.write("\u498f\u4990\5U+\2\u4990\u4991\5\67\34\2\u4991\u4992\5") buf.write("=\37\2\u4992\u4993\5!\21\2\u4993\u4994\5\'\24\2\u4994") buf.write("\u4995\5U+\2\u4995\u4996\5M\'\2\u4996\u4997\5!\21\2\u4997") buf.write("\u4998\5\61\31\2\u4998\u4999\5G$\2\u4999\u499a\5U+\2\u499a") buf.write("\u499b\5%\23\2\u499b\u499c\5!\21\2\u499c\u499d\59\35\2") buf.write("\u499d\u499e\5)\25\2\u499e\u499f\5C\"\2\u499f\u49a0\5") buf.write("!\21\2\u49a0\u49a1\5U+\2\u49a1\u49a2\5%\23\2\u49a2\u49a3") buf.write("\5=\37\2\u49a3\u49a4\5;\36\2\u49a4\u49a5\5G$\2\u49a5\u49a6") buf.write("\5C\"\2\u49a6\u49a7\5=\37\2\u49a7\u49a8\5\67\34\2\u49a8") buf.write("\u49a9\5\67\34\2\u49a9\u49aa\5)\25\2\u49aa\u49ab\5C\"") buf.write("\2\u49ab\u5853\3\2\2\2\u49ac\u49ad\5U+\2\u49ad\u49ae\5") buf.write("%\23\2\u49ae\u49af\5!\21\2\u49af\u49b0\59\35\2\u49b0\u49b1") buf.write("\5)\25\2\u49b1\u49b2\5C\"\2\u49b2\u49b3\5!\21\2\u49b3") buf.write("\u49b4\5U+\2\u49b4\u49b5\5%\23\2\u49b5\u49b6\5=\37\2\u49b6") buf.write("\u49b7\5;\36\2\u49b7\u49b8\5G$\2\u49b8\u49b9\5C\"\2\u49b9") buf.write("\u49ba\5=\37\2\u49ba\u49bb\5\67\34\2\u49bb\u49bc\5\67") buf.write("\34\2\u49bc\u49bd\5)\25\2\u49bd\u49be\5C\"\2\u49be\u49bf") buf.write("\5U+\2\u49bf\u49c0\5? \2\u49c0\u49c1\5\67\34\2\u49c1\u49c2") buf.write("\5!\21\2\u49c2\u49c3\5Q)\2\u49c3\u5853\3\2\2\2\u49c4\u49c5") buf.write("\5U+\2\u49c5\u49c6\5%\23\2\u49c6\u49c7\5!\21\2\u49c7\u49c8") buf.write("\59\35\2\u49c8\u49c9\5)\25\2\u49c9\u49ca\5C\"\2\u49ca") buf.write("\u49cb\5!\21\2\u49cb\u49cc\5U+\2\u49cc\u49cd\5%\23\2\u49cd") buf.write("\u49ce\5=\37\2\u49ce\u49cf\5;\36\2\u49cf\u49d0\5G$\2\u49d0") buf.write("\u49d1\5C\"\2\u49d1\u49d2\5=\37\2\u49d2\u49d3\5\67\34") buf.write("\2\u49d3\u49d4\5\67\34\2\u49d4\u49d5\5)\25\2\u49d5\u49d6") buf.write("\5C\"\2\u49d6\u49d7\5U+\2\u49d7\u49d8\5)\25\2\u49d8\u49d9") buf.write("\5;\36\2\u49d9\u49da\5\'\24\2\u49da\u5853\3\2\2\2\u49db") buf.write("\u49dc\5U+\2\u49dc\u49dd\5G$\2\u49dd\u49de\5)\25\2\u49de") buf.write("\u49df\59\35\2\u49df\u49e0\5=\37\2\u49e0\u49e1\5G$\2\u49e1") buf.write("\u49e2\5\61\31\2\u49e2\u49e3\5U+\2\u49e3\u49e4\5C\"\2") buf.write("\u49e4\u49e5\5=\37\2\u49e5\u49e6\5G$\2\u49e6\u49e7\5=") buf.write("\37\2\u49e7\u49e8\59\35\2\u49e8\u49e9\5I%\2\u49e9\u49ea") buf.write("\5U+\2\u49ea\u49eb\5+\26\2\u49eb\u49ec\5=\37\2\u49ec\u49ed") buf.write("\5C\"\2\u49ed\u49ee\59\35\2\u49ee\u49ef\5U+\2\u49ef\u49f0") buf.write("\5%\23\2\u49f0\u49f1\5/\30\2\u49f1\u49f2\5-\27\2\u49f2") buf.write("\u49f3\5U+\2\u49f3\u49f4\5%\23\2\u49f4\u49f5\5/\30\2\u49f5") buf.write("\u49f6\5)\25\2\u49f6\u49f7\5%\23\2\u49f7\u49f8\5\65\33") buf.write("\2\u49f8\u5853\3\2\2\2\u49f9\u49fa\5U+\2\u49fa\u49fb\5") buf.write("G$\2\u49fb\u49fc\5)\25\2\u49fc\u49fd\59\35\2\u49fd\u49fe") buf.write("\5=\37\2\u49fe\u49ff\5G$\2\u49ff\u4a00\5\61\31\2\u4a00") buf.write("\u4a01\5U+\2\u4a01\u4a02\5? \2\u4a02\u4a03\5=\37\2\u4a03") buf.write("\u4a04\5\65\33\2\u4a04\u4a05\5)\25\2\u4a05\u4a06\5U+\2") buf.write("\u4a06\u4a07\5%\23\2\u4a07\u4a08\5/\30\2\u4a08\u4a09\5") buf.write("\65\33\2\u4a09\u4a0a\5U+\2\u4a0a\u4a0b\5;\36\2\u4a0b\u4a0c") buf.write("\5I%\2\u4a0c\u4a0d\59\35\2\u4a0d\u5853\3\2\2\2\u4a0e\u4a0f") buf.write("\5U+\2\u4a0f\u4a10\5G$\2\u4a10\u4a11\5)\25\2\u4a11\u4a12") buf.write("\59\35\2\u4a12\u4a13\5=\37\2\u4a13\u4a14\5G$\2\u4a14\u4a15") buf.write("\5\61\31\2\u4a15\u4a16\5U+\2\u4a16\u4a17\5C\"\2\u4a17") buf.write("\u4a18\5=\37\2\u4a18\u4a19\5G$\2\u4a19\u4a1a\5=\37\2\u4a1a") buf.write("\u4a1b\59\35\2\u4a1b\u4a1c\5I%\2\u4a1c\u4a1d\5U+\2\u4a1d") buf.write("\u4a1e\5+\26\2\u4a1e\u4a1f\5=\37\2\u4a1f\u4a20\5C\"\2") buf.write("\u4a20\u4a21\59\35\2\u4a21\u4a22\5U+\2\u4a22\u4a23\5-") buf.write("\27\2\u4a23\u4a24\5)\25\2\u4a24\u4a25\5G$\2\u4a25\u5853") buf.write("\3\2\2\2\u4a26\u4a27\5U+\2\u4a27\u4a28\5? \2\u4a28\u4a29") buf.write("\5=\37\2\u4a29\u4a2a\5\65\33\2\u4a2a\u4a2b\5)\25\2\u4a2b") buf.write("\u4a2c\5\67\34\2\u4a2c\u4a2d\5\61\31\2\u4a2d\u4a2e\5E") buf.write("#\2\u4a2e\u4a2f\5G$\2\u4a2f\u4a30\5U+\2\u4a30\u4a31\5") buf.write("+\26\2\u4a31\u4a32\5=\37\2\u4a32\u4a33\5C\"\2\u4a33\u4a34") buf.write("\59\35\2\u4a34\u4a35\5U+\2\u4a35\u4a36\5%\23\2\u4a36\u4a37") buf.write("\5/\30\2\u4a37\u4a38\5!\21\2\u4a38\u4a39\5;\36\2\u4a39") buf.write("\u4a3a\5-\27\2\u4a3a\u4a3b\5)\25\2\u4a3b\u4a3c\5U+\2\u4a3c") buf.write("\u4a3d\5E#\2\u4a3d\u4a3e\5)\25\2\u4a3e\u4a3f\5G$\2\u4a3f") buf.write("\u4a40\5U+\2\u4a40\u4a41\5? \2\u4a41\u4a42\5C\"\2\u4a42") buf.write("\u4a43\5=\37\2\u4a43\u4a44\5%\23\2\u4a44\u5853\3\2\2\2") buf.write("\u4a45\u4a46\5U+\2\u4a46\u4a47\5? \2\u4a47\u4a48\5=\37") buf.write("\2\u4a48\u4a49\5\65\33\2\u4a49\u4a4a\5)\25\2\u4a4a\u4a4b") buf.write("\5\67\34\2\u4a4b\u4a4c\5\61\31\2\u4a4c\u4a4d\5E#\2\u4a4d") buf.write("\u4a4e\5G$\2\u4a4e\u4a4f\5U+\2\u4a4f\u4a50\5+\26\2\u4a50") buf.write("\u4a51\5=\37\2\u4a51\u4a52\5C\"\2\u4a52\u4a53\59\35\2") buf.write("\u4a53\u4a54\5U+\2\u4a54\u4a55\5%\23\2\u4a55\u4a56\5/") buf.write("\30\2\u4a56\u4a57\5!\21\2\u4a57\u4a58\5;\36\2\u4a58\u4a59") buf.write("\5-\27\2\u4a59\u4a5a\5)\25\2\u4a5a\u4a5b\5U+\2\u4a5b\u4a5c") buf.write("\5-\27\2\u4a5c\u4a5d\5)\25\2\u4a5d\u4a5e\5G$\2\u4a5e\u4a5f") buf.write("\5U+\2\u4a5f\u4a60\5C\"\2\u4a60\u4a61\5)\25\2\u4a61\u4a62") buf.write("\5E#\2\u4a62\u4a63\5I%\2\u4a63\u4a64\5\67\34\2\u4a64\u4a65") buf.write("\5G$\2\u4a65\u5853\3\2\2\2\u4a66\u4a67\5U+\2\u4a67\u4a68") buf.write("\5G$\2\u4a68\u4a69\5I%\2\u4a69\u4a6a\5C\"\2\u4a6a\u4a6b") buf.write("\5)\25\2\u4a6b\u4a6c\5!\21\2\u4a6c\u4a6d\5C\"\2\u4a6d") buf.write("\u4a6e\5I%\2\u4a6e\u4a6f\5\65\33\2\u4a6f\u4a70\5\61\31") buf.write("\2\u4a70\u4a71\5U+\2\u4a71\u4a72\5? \2\u4a72\u4a73\5=") buf.write("\37\2\u4a73\u4a74\5\65\33\2\u4a74\u4a75\5)\25\2\u4a75") buf.write("\u4a76\59\35\2\u4a76\u4a77\5=\37\2\u4a77\u4a78\5;\36\2") buf.write("\u4a78\u4a79\5U+\2\u4a79\u4a7a\5G$\2\u4a7a\u4a7b\5!\21") buf.write("\2\u4a7b\u4a7c\5\67\34\2\u4a7c\u4a7d\5\65\33\2\u4a7d\u5853") buf.write("\3\2\2\2\u4a7e\u4a7f\5U+\2\u4a7f\u4a80\5G$\2\u4a80\u4a81") buf.write("\5I%\2\u4a81\u4a82\5C\"\2\u4a82\u4a83\5)\25\2\u4a83\u4a84") buf.write("\5!\21\2\u4a84\u4a85\5C\"\2\u4a85\u4a86\5I%\2\u4a86\u4a87") buf.write("\5\65\33\2\u4a87\u4a88\5\61\31\2\u4a88\u4a89\5U+\2\u4a89") buf.write("\u4a8a\5? \2\u4a8a\u4a8b\5=\37\2\u4a8b\u4a8c\5\65\33\2") buf.write("\u4a8c\u4a8d\5)\25\2\u4a8d\u4a8e\59\35\2\u4a8e\u4a8f\5") buf.write("=\37\2\u4a8f\u4a90\5;\36\2\u4a90\u4a91\5U+\2\u4a91\u4a92") buf.write("\5\61\31\2\u4a92\u4a93\5;\36\2\u4a93\u4a94\5\'\24\2\u4a94") buf.write("\u4a95\5)\25\2\u4a95\u4a96\5O(\2\u4a96\u5853\3\2\2\2\u4a97") buf.write("\u4a98\5U+\2\u4a98\u4a99\5G$\2\u4a99\u4a9a\5I%\2\u4a9a") buf.write("\u4a9b\5C\"\2\u4a9b\u4a9c\5)\25\2\u4a9c\u4a9d\5!\21\2") buf.write("\u4a9d\u4a9e\5C\"\2\u4a9e\u4a9f\5I%\2\u4a9f\u4aa0\5\65") buf.write("\33\2\u4aa0\u4aa1\5\61\31\2\u4aa1\u4aa2\5U+\2\u4aa2\u4aa3") buf.write("\5G$\2\u4aa3\u4aa4\5!\21\2\u4aa4\u4aa5\5\65\33\2\u4aa5") buf.write("\u4aa6\5)\25\2\u4aa6\u4aa7\5U+\2\u4aa7\u4aa8\5\61\31\2") buf.write("\u4aa8\u4aa9\5G$\2\u4aa9\u4aaa\5)\25\2\u4aaa\u4aab\59") buf.write("\35\2\u4aab\u5853\3\2\2\2\u4aac\u4aad\5U+\2\u4aad\u4aae") buf.write("\5G$\2\u4aae\u4aaf\5I%\2\u4aaf\u4ab0\5C\"\2\u4ab0\u4ab1") buf.write("\5)\25\2\u4ab1\u4ab2\5!\21\2\u4ab2\u4ab3\5C\"\2\u4ab3") buf.write("\u4ab4\5I%\2\u4ab4\u4ab5\5\65\33\2\u4ab5\u4ab6\5\61\31") buf.write("\2\u4ab6\u4ab7\5U+\2\u4ab7\u4ab8\5\61\31\2\u4ab8\u4ab9") buf.write("\5G$\2\u4ab9\u4aba\5)\25\2\u4aba\u4abb\59\35\2\u4abb\u4abc") buf.write("\5U+\2\u4abc\u4abd\5G$\2\u4abd\u4abe\5\61\31\2\u4abe\u4abf") buf.write("\59\35\2\u4abf\u4ac0\5)\25\2\u4ac0\u4ac1\5C\"\2\u4ac1") buf.write("\u4ac2\5U+\2\u4ac2\u4ac3\5E#\2\u4ac3\u4ac4\5)\25\2\u4ac4") buf.write("\u4ac5\5G$\2\u4ac5\u5853\3\2\2\2\u4ac6\u4ac7\5U+\2\u4ac7") buf.write("\u4ac8\5C\"\2\u4ac8\u4ac9\5)\25\2\u4ac9\u4aca\5\67\34") buf.write("\2\u4aca\u4acb\5)\25\2\u4acb\u4acc\5!\21\2\u4acc\u4acd") buf.write("\5E#\2\u4acd\u4ace\5)\25\2\u4ace\u4acf\5U+\2\u4acf\u4ad0") buf.write("\5%\23\2\u4ad0\u4ad1\5!\21\2\u4ad1\u4ad2\59\35\2\u4ad2") buf.write("\u4ad3\5)\25\2\u4ad3\u4ad4\5C\"\2\u4ad4\u4ad5\5!\21\2") buf.write("\u4ad5\u4ad6\5U+\2\u4ad6\u4ad7\5%\23\2\u4ad7\u4ad8\5=") buf.write("\37\2\u4ad8\u4ad9\5;\36\2\u4ad9\u4ada\5G$\2\u4ada\u4adb") buf.write("\5C\"\2\u4adb\u4adc\5=\37\2\u4adc\u4add\5\67\34\2\u4add") buf.write("\u4ade\5\67\34\2\u4ade\u4adf\5)\25\2\u4adf\u4ae0\5C\"") buf.write("\2\u4ae0\u5853\3\2\2\2\u4ae1\u4ae2\5U+\2\u4ae2\u4ae3\5") buf.write("+\26\2\u4ae3\u4ae4\5\61\31\2\u4ae4\u4ae5\5;\36\2\u4ae5") buf.write("\u4ae6\5\'\24\2\u4ae6\u4ae7\5U+\2\u4ae7\u4ae8\5#\22\2") buf.write("\u4ae8\u4ae9\5-\27\2\u4ae9\u4aea\5U+\2\u4aea\u4aeb\5)") buf.write("\25\2\u4aeb\u4aec\5;\36\2\u4aec\u4aed\5!\21\2\u4aed\u4aee") buf.write("\5#\22\2\u4aee\u4aef\5\67\34\2\u4aef\u4af0\5)\25\2\u4af0") buf.write("\u5853\3\2\2\2\u4af1\u4af2\5U+\2\u4af2\u4af3\5+\26\2\u4af3") buf.write("\u4af4\5\61\31\2\u4af4\u4af5\5;\36\2\u4af5\u4af6\5\'\24") buf.write("\2\u4af6\u4af7\5U+\2\u4af7\u4af8\5#\22\2\u4af8\u4af9\5") buf.write("-\27\2\u4af9\u4afa\5U+\2\u4afa\u4afb\5\'\24\2\u4afb\u4afc") buf.write("\5\61\31\2\u4afc\u4afd\5E#\2\u4afd\u4afe\5!\21\2\u4afe") buf.write("\u4aff\5#\22\2\u4aff\u4b00\5\67\34\2\u4b00\u4b01\5)\25") buf.write("\2\u4b01\u5853\3\2\2\2\u4b02\u4b03\5U+\2\u4b03\u4b04\5") buf.write("%\23\2\u4b04\u4b05\5!\21\2\u4b05\u4b06\5\67\34\2\u4b06") buf.write("\u4b07\5\67\34\2\u4b07\u4b08\5U+\2\u4b08\u4b09\5)\25\2") buf.write("\u4b09\u4b0a\5+\26\2\u4b0a\u4b0b\5+\26\2\u4b0b\u4b0c\5") buf.write(")\25\2\u4b0c\u4b0d\5%\23\2\u4b0d\u4b0e\5G$\2\u4b0e\u5853") buf.write("\3\2\2\2\u4b0f\u4b10\5U+\2\u4b10\u4b11\5E#\2\u4b11\u4b12") buf.write("\5G$\2\u4b12\u4b13\5=\37\2\u4b13\u4b14\5? \2\u4b14\u4b15") buf.write("\5U+\2\u4b15\u4b16\5)\25\2\u4b16\u4b17\5+\26\2\u4b17\u4b18") buf.write("\5+\26\2\u4b18\u4b19\5)\25\2\u4b19\u4b1a\5%\23\2\u4b1a") buf.write("\u4b1b\5G$\2\u4b1b\u5853\3\2\2\2\u4b1c\u4b1d\5U+\2\u4b1d") buf.write("\u4b1e\5C\"\2\u4b1e\u4b1f\5)\25\2\u4b1f\u4b20\5\67\34") buf.write("\2\u4b20\u4b21\5)\25\2\u4b21\u4b22\5!\21\2\u4b22\u4b23") buf.write("\5E#\2\u4b23\u4b24\5)\25\2\u4b24\u4b25\5U+\2\u4b25\u4b26") buf.write("\5)\25\2\u4b26\u4b27\5+\26\2\u4b27\u4b28\5+\26\2\u4b28") buf.write("\u4b29\5)\25\2\u4b29\u4b2a\5%\23\2\u4b2a\u4b2b\5G$\2\u4b2b") buf.write("\u5853\3\2\2\2\u4b2c\u4b2d\5U+\2\u4b2d\u4b2e\5%\23\2\u4b2e") buf.write("\u4b2f\5!\21\2\u4b2f\u4b30\5E#\2\u4b30\u4b31\5E#\2\u4b31") buf.write("\u4b32\5)\25\2\u4b32\u4b33\5G$\2\u4b33\u4b34\5U+\2\u4b34") buf.write("\u4b35\5K&\2\u4b35\u4b36\5)\25\2\u4b36\u4b37\5C\"\2\u4b37") buf.write("\u4b38\5E#\2\u4b38\u4b39\5\61\31\2\u4b39\u4b3a\5=\37\2") buf.write("\u4b3a\u4b3b\5;\36\2\u4b3b\u4b3c\5U+\2\u4b3c\u4b3d\5-") buf.write("\27\2\u4b3d\u4b3e\5)\25\2\u4b3e\u4b3f\5G$\2\u4b3f\u5853") buf.write("\3\2\2\2\u4b40\u4b41\5U+\2\u4b41\u4b42\5#\22\2\u4b42\u4b43") buf.write("\5=\37\2\u4b43\u4b44\5O(\2\u4b44\u4b45\5U+\2\u4b45\u4b46") buf.write("\5=\37\2\u4b46\u4b47\5? \2\u4b47\u4b48\5)\25\2\u4b48\u4b49") buf.write("\5;\36\2\u4b49\u4b4a\5U+\2\u4b4a\u4b4b\5;\36\2\u4b4b\u4b4c") buf.write("\5=\37\2\u4b4c\u4b4d\5C\"\2\u4b4d\u4b4e\59\35\2\u4b4e") buf.write("\u4b4f\5!\21\2\u4b4f\u4b50\5\67\34\2\u4b50\u5853\3\2\2") buf.write("\2\u4b51\u4b52\5U+\2\u4b52\u4b53\5#\22\2\u4b53\u4b54\5") buf.write("=\37\2\u4b54\u4b55\5O(\2\u4b55\u4b56\5U+\2\u4b56\u4b57") buf.write("\5=\37\2\u4b57\u4b58\5? \2\u4b58\u4b59\5)\25\2\u4b59\u4b5a") buf.write("\5;\36\2\u4b5a\u4b5b\5U+\2\u4b5b\u4b5c\5E#\2\u4b5c\u4b5d") buf.write("\5)\25\2\u4b5d\u4b5e\5\67\34\2\u4b5e\u4b5f\5)\25\2\u4b5f") buf.write("\u4b60\5%\23\2\u4b60\u4b61\5G$\2\u4b61\u5853\3\2\2\2\u4b62") buf.write("\u4b63\5U+\2\u4b63\u4b64\5%\23\2\u4b64\u4b65\5!\21\2\u4b65") buf.write("\u4b66\5\67\34\2\u4b66\u4b67\5\67\34\2\u4b67\u4b68\5U") buf.write("+\2\u4b68\u4b69\5)\25\2\u4b69\u4b6a\5+\26\2\u4b6a\u4b6b") buf.write("\5+\26\2\u4b6b\u4b6c\5)\25\2\u4b6c\u4b6d\5%\23\2\u4b6d") buf.write("\u4b6e\5G$\2\u4b6e\u4b6f\5U+\2\u4b6f\u4b70\5=\37\2\u4b70") buf.write("\u4b71\5#\22\2\u4b71\u4b72\5\63\32\2\u4b72\u5853\3\2\2") buf.write("\2\u4b73\u4b74\5U+\2\u4b74\u4b75\5E#\2\u4b75\u4b76\5=") buf.write("\37\2\u4b76\u4b77\5C\"\2\u4b77\u4b78\5!\21\2\u4b78\u4b79") buf.write("\5M\'\2\u4b79\u4b7a\5=\37\2\u4b7a\u4b7b\5G$\2\u4b7b\u4b7c") buf.write("\5=\37\2\u4b7c\u4b7d\5#\22\2\u4b7d\u4b7e\5I%\2\u4b7e\u4b7f") buf.write("\5U+\2\u4b7f\u4b80\5)\25\2\u4b80\u4b81\5;\36\2\u4b81\u4b82") buf.write("\5\'\24\2\u4b82\u5853\3\2\2\2\u4b83\u4b84\5U+\2\u4b84") buf.write("\u4b85\5%\23\2\u4b85\u4b86\5=\37\2\u4b86\u4b87\5;\36\2") buf.write("\u4b87\u4b88\5U+\2\u4b88\u4b89\5=\37\2\u4b89\u4b8a\5?") buf.write(" \2\u4b8a\u4b8b\5)\25\2\u4b8b\u4b8c\5;\36\2\u4b8c\u4b8d") buf.write("\5U+\2\u4b8d\u4b8e\5C\"\2\u4b8e\u4b8f\5)\25\2\u4b8f\u4b90") buf.write("\5E#\2\u4b90\u4b91\5I%\2\u4b91\u4b92\59\35\2\u4b92\u4b93") buf.write("\5)\25\2\u4b93\u4b94\5U+\2\u4b94\u4b95\59\35\2\u4b95\u4b96") buf.write("\5!\21\2\u4b96\u4b97\5G$\2\u4b97\u4b98\5%\23\2\u4b98\u4b99") buf.write("\5/\30\2\u4b99\u4b9a\5\61\31\2\u4b9a\u4b9b\5;\36\2\u4b9b") buf.write("\u4b9c\5-\27\2\u4b9c\u4b9d\5U+\2\u4b9d\u4b9e\59\35\2\u4b9e") buf.write("\u4b9f\5)\25\2\u4b9f\u4ba0\5;\36\2\u4ba0\u4ba1\5I%\2\u4ba1") buf.write("\u5853\3\2\2\2\u4ba2\u4ba3\5U+\2\u4ba3\u4ba4\5#\22\2\u4ba4") buf.write("\u4ba5\5=\37\2\u4ba5\u4ba6\5O(\2\u4ba6\u4ba7\5U+\2\u4ba7") buf.write("\u4ba8\5E#\2\u4ba8\u4ba9\5)\25\2\u4ba9\u4baa\5!\21\2\u4baa") buf.write("\u4bab\5\67\34\2\u4bab\u4bac\5U+\2\u4bac\u4bad\5I%\2\u4bad") buf.write("\u4bae\5\61\31\2\u4bae\u4baf\5U+\2\u4baf\u4bb0\5M\'\2") buf.write("\u4bb0\u4bb1\5!\21\2\u4bb1\u4bb2\5\61\31\2\u4bb2\u4bb3") buf.write("\5G$\2\u4bb3\u5853\3\2\2\2\u4bb4\u4bb5\5U+\2\u4bb5\u4bb6") buf.write("\5=\37\2\u4bb6\u4bb7\5#\22\2\u4bb7\u4bb8\5\63\32\2\u4bb8") buf.write("\u4bb9\5U+\2\u4bb9\u4bba\5? \2\u4bba\u4bbb\5=\37\2\u4bbb") buf.write("\u4bbc\5E#\2\u4bbc\u4bbd\5U+\2\u4bbd\u4bbe\5%\23\2\u4bbe") buf.write("\u4bbf\5/\30\2\u4bbf\u4bc0\5!\21\2\u4bc0\u4bc1\5;\36\2") buf.write("\u4bc1\u4bc2\5-\27\2\u4bc2\u4bc3\5)\25\2\u4bc3\u4bc4\5") buf.write("U+\2\u4bc4\u4bc5\5M\'\2\u4bc5\u4bc6\5=\37\2\u4bc6\u4bc7") buf.write("\5C\"\2\u4bc7\u4bc8\5\67\34\2\u4bc8\u4bc9\5\'\24\2\u4bc9") buf.write("\u5853\3\2\2\2\u4bca\u4bcb\5U+\2\u4bcb\u4bcc\5=\37\2\u4bcc") buf.write("\u4bcd\5? \2\u4bcd\u4bce\5)\25\2\u4bce\u4bcf\5;\36\2\u4bcf") buf.write("\u4bd0\5U+\2\u4bd0\u4bd1\5E#\2\u4bd1\u4bd2\5? \2\u4bd2") buf.write("\u4bd3\5)\25\2\u4bd3\u4bd4\5%\23\2\u4bd4\u4bd5\5\61\31") buf.write("\2\u4bd5\u4bd6\5!\21\2\u4bd6\u4bd7\5\67\34\2\u4bd7\u4bd8") buf.write("\5U+\2\u4bd8\u4bd9\5M\'\2\u4bd9\u4bda\5\61\31\2\u4bda") buf.write("\u4bdb\5;\36\2\u4bdb\u4bdc\5U+\2\u4bdc\u4bdd\5\67\34\2") buf.write("\u4bdd\u4bde\5!\21\2\u4bde\u4bdf\5#\22\2\u4bdf\u4be0\5") buf.write(")\25\2\u4be0\u4be1\5\67\34\2\u4be1\u5853\3\2\2\2\u4be2") buf.write("\u4be3\5U+\2\u4be3\u4be4\5M\'\2\u4be4\u4be5\5!\21\2\u4be5") buf.write("\u4be6\5\61\31\2\u4be6\u4be7\5G$\2\u4be7\u4be8\5U+\2\u4be8") 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buf.write("\61\31\2\u4c0f\u4c10\5E#\2\u4c10\u4c11\5;\36\2\u4c11\u4c12") buf.write("\5)\25\2\u4c12\u4c13\5C\"\2\u4c13\u4c14\5U+\2\u4c14\u4c15") buf.write("\5? \2\u4c15\u4c16\5=\37\2\u4c16\u4c17\5E#\2\u4c17\u5853") buf.write("\3\2\2\2\u4c18\u4c19\5U+\2\u4c19\u4c1a\5!\21\2\u4c1a\u4c1b") buf.write("\5\65\33\2\u4c1b\u4c1c\5U+\2\u4c1c\u4c1d\5\67\34\2\u4c1d") buf.write("\u4c1e\5\61\31\2\u4c1e\u4c1f\5E#\2\u4c1f\u4c20\5;\36\2") buf.write("\u4c20\u4c21\5)\25\2\u4c21\u4c22\5C\"\2\u4c22\u4c23\5") buf.write("U+\2\u4c23\u4c24\5C\"\2\u4c24\u4c25\5=\37\2\u4c25\u4c26") buf.write("\5G$\2\u4c26\u5853\3\2\2\2\u4c27\u4c28\5U+\2\u4c28\u4c29") buf.write("\5I%\2\u4c29\u4c2a\5;\36\2\u4c2a\u4c2b\5\61\31\2\u4c2b") buf.write("\u4c2c\5=\37\2\u4c2c\u4c2d\5;\36\2\u4c2d\u4c2e\5U+\2\u4c2e") buf.write("\u4c2f\5? \2\u4c2f\u4c30\5C\"\2\u4c30\u4c31\5=\37\2\u4c31") buf.write("\u4c32\5%\23\2\u4c32\u5853\3\2\2\2\u4c33\u4c34\5U+\2\u4c34") buf.write("\u4c35\5%\23\2\u4c35\u4c36\5!\21\2\u4c36\u4c37\59\35\2") buf.write("\u4c37\u4c38\5)\25\2\u4c38\u4c39\5C\"\2\u4c39\u4c3a\5") buf.write("!\21\2\u4c3a\u4c3b\5U+\2\u4c3b\u4c3c\5%\23\2\u4c3c\u4c3d") buf.write("\5=\37\2\u4c3d\u4c3e\5;\36\2\u4c3e\u4c3f\5G$\2\u4c3f\u4c40") buf.write("\5C\"\2\u4c40\u4c41\5=\37\2\u4c41\u4c42\5\67\34\2\u4c42") buf.write("\u4c43\5\67\34\2\u4c43\u4c44\5)\25\2\u4c44\u4c45\5C\"") buf.write("\2\u4c45\u4c46\5U+\2\u4c46\u4c47\5M\'\2\u4c47\u4c48\5") buf.write("!\21\2\u4c48\u4c49\5\61\31\2\u4c49\u4c4a\5G$\2\u4c4a\u5853") buf.write("\3\2\2\2\u4c4b\u4c4c\5U+\2\u4c4c\u4c4d\5E#\2\u4c4d\u4c4e") buf.write("\5)\25\2\u4c4e\u4c4f\5G$\2\u4c4f\u4c50\5U+\2\u4c50\u4c51") buf.write("\5G$\2\u4c51\u4c52\5K&\2\u4c52\u4c53\5U+\2\u4c53\u4c54") buf.write("\5\61\31\2\u4c54\u4c55\5;\36\2\u4c55\u4c56\5G$\2\u4c56") buf.write("\u5853\3\2\2\2\u4c57\u4c58\5U+\2\u4c58\u4c59\5E#\2\u4c59") buf.write("\u4c5a\5)\25\2\u4c5a\u4c5b\5G$\2\u4c5b\u4c5c\5U+\2\u4c5c") buf.write("\u4c5d\5G$\2\u4c5d\u4c5e\5K&\2\u4c5e\u4c5f\5U+\2\u4c5f") buf.write("\u4c60\5? 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buf.write("$\2\u4d76\u4d77\5=\37\2\u4d77\u4d78\5I%\2\u4d78\u4d79") buf.write("\5C\"\2\u4d79\u4d7a\5=\37\2\u4d7a\u4d7b\5\65\33\2\u4d7b") buf.write("\u4d7c\5I%\2\u4d7c\u5853\3\2\2\2\u4d7d\u4d7e\5U+\2\u4d7e") buf.write("\u4d7f\5S*\2\u4d7f\u4d80\5I%\2\u4d80\u4d81\5\65\33\2\u4d81") buf.write("\u4d82\5!\21\2\u4d82\u4d83\5;\36\2\u4d83\u4d84\5U+\2\u4d84") buf.write("\u4d85\5G$\2\u4d85\u4d86\5=\37\2\u4d86\u4d87\5I%\2\u4d87") buf.write("\u4d88\5C\"\2\u4d88\u4d89\5=\37\2\u4d89\u4d8a\5\65\33") buf.write("\2\u4d8a\u4d8b\5I%\2\u4d8b\u4d8c\5U+\2\u4d8c\u4d8d\5M") buf.write("\'\2\u4d8d\u4d8e\5!\21\2\u4d8e\u4d8f\5\61\31\2\u4d8f\u4d90") buf.write("\5G$\2\u4d90\u5853\3\2\2\2\u4d91\u4d92\5U+\2\u4d92\u4d93") buf.write("\5%\23\2\u4d93\u4d94\5/\30\2\u4d94\u4d95\5\65\33\2\u4d95") buf.write("\u4d96\5U+\2\u4d96\u4d97\5S*\2\u4d97\u4d98\5I%\2\u4d98") buf.write("\u4d99\5\65\33\2\u4d99\u4d9a\5!\21\2\u4d9a\u4d9b\5;\36") buf.write("\2\u4d9b\u4d9c\5U+\2\u4d9c\u4d9d\5G$\2\u4d9d\u4d9e\5=") buf.write("\37\2\u4d9e\u4d9f\5I%\2\u4d9f\u4da0\5C\"\2\u4da0\u4da1") buf.write("\5=\37\2\u4da1\u4da2\5\65\33\2\u4da2\u4da3\5I%\2\u4da3") buf.write("\u5853\3\2\2\2\u4da4\u4da5\5U+\2\u4da5\u4da6\5!\21\2\u4da6") buf.write("\u4da7\5I%\2\u4da7\u4da8\5G$\2\u4da8\u4da9\5=\37\2\u4da9") buf.write("\u4daa\5U+\2\u4daa\u4dab\5E#\2\u4dab\u4dac\5!\21\2\u4dac") buf.write("\u4dad\5K&\2\u4dad\u4dae\5)\25\2\u4dae\u5853\3\2\2\2\u4daf") buf.write("\u4db0\5U+\2\u4db0\u4db1\5)\25\2\u4db1\u4db2\5;\36\2\u4db2") buf.write("\u4db3\5\'\24\2\u4db3\u4db4\5\61\31\2\u4db4\u4db5\5;\36") buf.write("\2\u4db5\u4db6\5-\27\2\u4db6\u4db7\5U+\2\u4db7\u4db8\5") buf.write("\'\24\2\u4db8\u4db9\5)\25\2\u4db9\u4dba\59\35\2\u4dba") buf.write("\u4dbb\5=\37\2\u4dbb\u5853\3\2\2\2\u4dbc\u4dbd\5U+\2\u4dbd") buf.write("\u4dbe\5!\21\2\u4dbe\u4dbf\5S*\2\u4dbf\u4dc0\5I%\2\u4dc0") buf.write("\u4dc1\5\65\33\2\u4dc1\u4dc2\5!\21\2\u4dc2\u4dc3\5C\"") buf.write("\2\u4dc3\u4dc4\5\61\31\2\u4dc4\u4dc5\5Q)\2\u4dc5\u4dc6") buf.write("\5!\21\2\u4dc6\u4dc7\5U+\2\u4dc7\u4dc8\5G$\2\u4dc8\u4dc9") buf.write("\5!\21\2\u4dc9\u4dca\5\65\33\2\u4dca\u4dcb\5)\25\2\u4dcb") buf.write("\u4dcc\5U+\2\u4dcc\u4dcd\5=\37\2\u4dcd\u4dce\5K&\2\u4dce") buf.write("\u4dcf\5)\25\2\u4dcf\u4dd0\5C\"\2\u4dd0\u4dd1\5U+\2\u4dd1") buf.write("\u4dd2\5? \2\u4dd2\u4dd3\5=\37\2\u4dd3\u4dd4\5\65\33\2") buf.write("\u4dd4\u4dd5\5)\25\2\u4dd5\u5853\3\2\2\2\u4dd6\u4dd7\5") buf.write("U+\2\u4dd7\u4dd8\5? \2\u4dd8\u4dd9\5=\37\2\u4dd9\u4dda") buf.write("\5\65\33\2\u4dda\u4ddb\5)\25\2\u4ddb\u4ddc\5G$\2\u4ddc") buf.write("\u4ddd\5=\37\2\u4ddd\u4dde\5C\"\2\u4dde\u4ddf\5)\25\2") buf.write("\u4ddf\u4de0\5U+\2\u4de0\u4de1\5-\27\2\u4de1\u4de2\5)") buf.write("\25\2\u4de2\u4de3\5G$\2\u4de3\u4de4\5U+\2\u4de4\u4de5") buf.write("\5%\23\2\u4de5\u4de6\5/\30\2\u4de6\u4de7\5!\21\2\u4de7") buf.write("\u4de8\5C\"\2\u4de8\u4de9\5-\27\2\u4de9\u4dea\5)\25\2") buf.write("\u4dea\u5853\3\2\2\2\u4deb\u4dec\5U+\2\u4dec\u4ded\5?") buf.write(" 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buf.write("\67\34\2\u4e15\u4e16\5)\25\2\u4e16\u4e17\5U+\2\u4e17\u4e18") buf.write("\5%\23\2\u4e18\u4e19\5=\37\2\u4e19\u4e1a\5\67\34\2\u4e1a") buf.write("\u4e1b\5=\37\2\u4e1b\u4e1c\5C\"\2\u4e1c\u4e1d\5U+\2\u4e1d") buf.write("\u4e1e\5-\27\2\u4e1e\u4e1f\5)\25\2\u4e1f\u4e20\5G$\2\u4e20") buf.write("\u5853\3\2\2\2\u4e21\u4e22\5U+\2\u4e22\u4e23\5? \2\u4e23") buf.write("\u4e24\5!\21\2\u4e24\u4e25\5C\"\2\u4e25\u4e26\5\65\33") buf.write("\2\u4e26\u4e27\5U+\2\u4e27\u4e28\5\61\31\2\u4e28\u4e29") buf.write("\5G$\2\u4e29\u4e2a\5)\25\2\u4e2a\u4e2b\59\35\2\u4e2b\u4e2c") buf.write("\5U+\2\u4e2c\u4e2d\5;\36\2\u4e2d\u4e2e\5!\21\2\u4e2e\u4e2f") buf.write("\59\35\2\u4e2f\u4e30\5)\25\2\u4e30\u5853\3\2\2\2\u4e31") buf.write("\u4e32\5U+\2\u4e32\u4e33\5\67\34\2\u4e33\u4e34\5=\37\2") buf.write("\u4e34\u4e35\5!\21\2\u4e35\u4e36\5\'\24\2\u4e36\u4e37") buf.write("\5U+\2\u4e37\u4e38\5I%\2\u4e38\u4e39\59\35\2\u4e39\u4e3a") buf.write("\5!\21\2\u4e3a\u4e3b\5U+\2\u4e3b\u4e3c\5!\21\2\u4e3c\u4e3d") buf.write("\5;\36\2\u4e3d\u4e3e\5\61\31\2\u4e3e\u4e3f\59\35\2\u4e3f") buf.write("\u4e40\5)\25\2\u4e40\u5853\3\2\2\2\u4e41\u4e42\5U+\2\u4e42") buf.write("\u4e43\5C\"\2\u4e43\u4e44\5)\25\2\u4e44\u4e45\5\67\34") buf.write("\2\u4e45\u4e46\5)\25\2\u4e46\u4e47\5!\21\2\u4e47\u4e48") buf.write("\5E#\2\u4e48\u4e49\5)\25\2\u4e49\u4e4a\5U+\2\u4e4a\u4e4b") buf.write("\5I%\2\u4e4b\u4e4c\59\35\2\u4e4c\u4e4d\5!\21\2\u4e4d\u4e4e") buf.write("\5U+\2\u4e4e\u4e4f\5!\21\2\u4e4f\u4e50\5;\36\2\u4e50\u4e51") buf.write("\5\61\31\2\u4e51\u4e52\59\35\2\u4e52\u4e53\5)\25\2\u4e53") buf.write("\u5853\3\2\2\2\u4e54\u4e55\5U+\2\u4e55\u4e56\5\67\34\2") buf.write("\u4e56\u4e57\5=\37\2\u4e57\u4e58\5!\21\2\u4e58\u4e59\5") buf.write("\'\24\2\u4e59\u4e5a\5U+\2\u4e5a\u4e5b\5I%\2\u4e5b\u4e5c") buf.write("\59\35\2\u4e5c\u4e5d\5!\21\2\u4e5d\u4e5e\5U+\2\u4e5e\u4e5f") buf.write("\5!\21\2\u4e5f\u4e60\5;\36\2\u4e60\u4e61\5\61\31\2\u4e61") buf.write("\u4e62\59\35\2\u4e62\u4e63\5)\25\2\u4e63\u4e64\5U+\2\u4e64") buf.write("\u4e65\5M\'\2\u4e65\u4e66\5!\21\2\u4e66\u4e67\5\61\31") buf.write("\2\u4e67\u4e68\5G$\2\u4e68\u5853\3\2\2\2\u4e69\u4e6a\5") buf.write("U+\2\u4e6a\u4e6b\5I%\2\u4e6b\u4e6c\59\35\2\u4e6c\u4e6d") buf.write("\5!\21\2\u4e6d\u4e6e\5U+\2\u4e6e\u4e6f\5!\21\2\u4e6f\u4e70") buf.write("\5;\36\2\u4e70\u4e71\5\61\31\2\u4e71\u4e72\59\35\2\u4e72") buf.write("\u4e73\5)\25\2\u4e73\u4e74\5U+\2\u4e74\u4e75\5? \2\u4e75") buf.write("\u4e76\5\67\34\2\u4e76\u4e77\5!\21\2\u4e77\u4e78\5Q)\2") buf.write("\u4e78\u5853\3\2\2\2\u4e79\u4e7a\5U+\2\u4e7a\u4e7b\5I") buf.write("%\2\u4e7b\u4e7c\59\35\2\u4e7c\u4e7d\5!\21\2\u4e7d\u4e7e") buf.write("\5U+\2\u4e7e\u4e7f\5!\21\2\u4e7f\u4e80\5;\36\2\u4e80\u4e81") buf.write("\5\61\31\2\u4e81\u4e82\59\35\2\u4e82\u4e83\5)\25\2\u4e83") buf.write("\u4e84\5U+\2\u4e84\u4e85\5!\21\2\u4e85\u4e86\5G$\2\u4e86") buf.write("\u4e87\5G$\2\u4e87\u4e88\5!\21\2\u4e88\u4e89\5%\23\2\u4e89") buf.write("\u4e8a\5/\30\2\u4e8a\u5853\3\2\2\2\u4e8b\u4e8c\5U+\2\u4e8c") buf.write("\u4e8d\5I%\2\u4e8d\u4e8e\59\35\2\u4e8e\u4e8f\5!\21\2\u4e8f") buf.write("\u4e90\5U+\2\u4e90\u4e91\5? \2\u4e91\u4e92\5\67\34\2\u4e92") buf.write("\u4e93\5!\21\2\u4e93\u4e94\5Q)\2\u4e94\u4e95\5U+\2\u4e95") buf.write("\u4e96\5M\'\2\u4e96\u4e97\5!\21\2\u4e97\u4e98\5\61\31") buf.write("\2\u4e98\u4e99\5G$\2\u4e99\u5853\3\2\2\2\u4e9a\u4e9b\5") buf.write("U+\2\u4e9b\u4e9c\5=\37\2\u4e9c\u4e9d\5#\22\2\u4e9d\u4e9e") buf.write("\5\63\32\2\u4e9e\u4e9f\5U+\2\u4e9f\u4ea0\5!\21\2\u4ea0") buf.write("\u4ea1\5;\36\2\u4ea1\u4ea2\5\61\31\2\u4ea2\u4ea3\59\35") buf.write("\2\u4ea3\u4ea4\5)\25\2\u4ea4\u4ea5\5U+\2\u4ea5\u4ea6\5") buf.write("E#\2\u4ea6\u4ea7\5? \2\u4ea7\u4ea8\5)\25\2\u4ea8\u4ea9") buf.write("\5)\25\2\u4ea9\u4eaa\5\'\24\2\u4eaa\u5853\3\2\2\2\u4eab") buf.write("\u4eac\5U+\2\u4eac\u4ead\5=\37\2\u4ead\u4eae\5#\22\2\u4eae") buf.write("\u4eaf\5\63\32\2\u4eaf\u4eb0\5U+\2\u4eb0\u4eb1\5E#\2\u4eb1") buf.write("\u4eb2\5%\23\2\u4eb2\u4eb3\5!\21\2\u4eb3\u4eb4\5\67\34") buf.write("\2\u4eb4\u4eb5\5)\25\2\u4eb5\u5853\3\2\2\2\u4eb6\u4eb7") buf.write("\5U+\2\u4eb7\u4eb8\5#\22\2\u4eb8\u4eb9\5!\21\2\u4eb9\u4eba") buf.write("\5\'\24\2\u4eba\u4ebb\5-\27\2\u4ebb\u4ebc\5)\25\2\u4ebc") buf.write("\u4ebd\5U+\2\u4ebd\u4ebe\5-\27\2\u4ebe\u4ebf\5)\25\2\u4ebf") buf.write("\u4ec0\5G$\2\u4ec0\u5853\3\2\2\2\u4ec1\u4ec2\5U+\2\u4ec2") buf.write("\u4ec3\5!\21\2\u4ec3\u4ec4\5\'\24\2\u4ec4\u4ec5\5\'\24") buf.write("\2\u4ec5\u4ec6\5U+\2\u4ec6\u4ec7\5I%\2\u4ec7\u4ec8\5-") buf.write("\27\2\u4ec8\u4ec9\5U+\2\u4ec9\u4eca\5\61\31\2\u4eca\u4ecb") buf.write("\5G$\2\u4ecb\u4ecc\5)\25\2\u4ecc\u4ecd\59\35\2\u4ecd\u5853") buf.write("\3\2\2\2\u4ece\u4ecf\5U+\2\u4ecf\u4ed0\5G$\2\u4ed0\u4ed1") buf.write("\5=\37\2\u4ed1\u4ed2\5#\22\2\u4ed2\u4ed3\5!\21\2\u4ed3") buf.write("\u4ed4\5C\"\2\u4ed4\u4ed5\5\61\31\2\u4ed5\u4ed6\5U+\2") buf.write("\u4ed6\u4ed7\5_\60\2\u4ed7\u4ed8\5+\26\2\u4ed8\u4ed9\5") buf.write("U+\2\u4ed9\u4eda\5E#\2\u4eda\u4edb\5/\30\2\u4edb\u4edc") 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buf.write("\5!\21\2\u4ff3\u4ff4\5U+\2\u4ff4\u4ff5\59\35\2\u4ff5\u4ff6") buf.write("\5!\21\2\u4ff6\u4ff7\5? \2\u4ff7\u5853\3\2\2\2\u4ff8\u4ff9") buf.write("\5U+\2\u4ff9\u4ffa\5E#\2\u4ffa\u4ffb\5)\25\2\u4ffb\u4ffc") buf.write("\5G$\2\u4ffc\u4ffd\5I%\2\u4ffd\u4ffe\5? \2\u4ffe\u4fff") buf.write("\5U+\2\u4fff\u5000\5E#\2\u5000\u5001\5/\30\2\u5001\u5002") buf.write("\5\61\31\2\u5002\u5003\5? \2\u5003\u5853\3\2\2\2\u5004") buf.write("\u5005\5U+\2\u5005\u5006\5? \2\u5006\u5007\5%\23\2\u5007") buf.write("\u5008\5U+\2\u5008\u5009\5\'\24\2\u5009\u500a\5)\25\2") buf.write("\u500a\u500b\5;\36\2\u500b\u500c\5\'\24\2\u500c\u500d") buf.write("\5=\37\2\u500d\u500e\5I%\2\u500e\u500f\5U+\2\u500f\u5010") buf.write("\5E#\2\u5010\u5011\5)\25\2\u5011\u5012\5G$\2\u5012\u5013") buf.write("\5U+\2\u5013\u5014\5? \2\u5014\u5015\5C\"\2\u5015\u5016") buf.write("\5=\37\2\u5016\u5017\5%\23\2\u5017\u5018\5U+\2\u5018\u5019") buf.write("\5=\37\2\u5019\u501a\5? \2\u501a\u501b\5)\25\2\u501b\u501c") buf.write("\5;\36\2\u501c\u501d\5U+\2\u501d\u501e\5M\'\2\u501e\u501f") buf.write("\5!\21\2\u501f\u5020\5\61\31\2\u5020\u5021\5G$\2\u5021") buf.write("\u5853\3\2\2\2\u5022\u5023\5U+\2\u5023\u5024\5-\27\2\u5024") buf.write("\u5025\5)\25\2\u5025\u5026\5G$\2\u5026\u5027\5U+\2\u5027") buf.write("\u5028\5? \2\u5028\u5029\5=\37\2\u5029\u502a\5\65\33\2") buf.write("\u502a\u502b\5)\25\2\u502b\u502c\5G$\2\u502c\u502d\5%") buf.write("\23\2\u502d\u502e\5/\30\2\u502e\u502f\5U+\2\u502f\u5030") buf.write("\5!\21\2\u5030\u5031\5? \2\u5031\u5032\5? \2\u5032\u5033") buf.write("\5U+\2\u5033\u5034\5\61\31\2\u5034\u5035\5\'\24\2\u5035") buf.write("\u5853\3\2\2\2\u5036\u5037\5U+\2\u5037\u5038\5+\26\2\u5038") buf.write("\u5039\5!\21\2\u5039\u503a\5\'\24\2\u503a\u503b\5)\25") buf.write("\2\u503b\u503c\5U+\2\u503c\u503d\5\'\24\2\u503d\u503e") buf.write("\5I%\2\u503e\u503f\5;\36\2\u503f\u5040\5-\27\2\u5040\u5041") buf.write("\5)\25\2\u5041\u5042\5=\37\2\u5042\u5043\5;\36\2\u5043") buf.write("\u5044\5U+\2\u5044\u5045\5=\37\2\u5045\u5046\5I%\2\u5046") buf.write("\u5047\5G$\2\u5047\u5853\3\2\2\2\u5048\u5049\5U+\2\u5049") buf.write("\u504a\5+\26\2\u504a\u504b\5!\21\2\u504b\u504c\5\'\24") buf.write("\2\u504c\u504d\5)\25\2\u504d\u504e\5U+\2\u504e\u504f\5") buf.write("\'\24\2\u504f\u5050\5I%\2\u5050\u5051\5;\36\2\u5051\u5052") buf.write("\5-\27\2\u5052\u5053\5)\25\2\u5053\u5054\5=\37\2\u5054") buf.write("\u5055\5;\36\2\u5055\u5056\5U+\2\u5056\u5057\5\61\31\2") buf.write("\u5057\u5058\5;\36\2\u5058\u5853\3\2\2\2\u5059\u505a\5") buf.write("U+\2\u505a\u505b\5+\26\2\u505b\u505c\5!\21\2\u505c\u505d") buf.write("\5\'\24\2\u505d\u505e\5)\25\2\u505e\u505f\5U+\2\u505f") buf.write("\u5060\5#\22\2\u5060\u5061\5I%\2\u5061\u5062\5\61\31\2") buf.write("\u5062\u5063\5\67\34\2\u5063\u5064\5\'\24\2\u5064\u5065") buf.write("\5\61\31\2\u5065\u5066\5;\36\2\u5066\u5067\5-\27\2\u5067") buf.write("\u5068\5U+\2\u5068\u5069\5=\37\2\u5069\u506a\5I%\2\u506a") 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buf.write("\3\2\2\2\u50ba\u50bb\5U+\2\u50bb\u50bc\5%\23\2\u50bc\u50bd") buf.write("\5W,\2\u50bd\u50be\5g\64\2\u50be\u50bf\5C\"\2\u50bf\u50c0") buf.write("\5W,\2\u50c0\u50c1\5g\64\2\u50c1\u50c2\5W,\2\u50c2\u50c3") buf.write("\5Y-\2\u50c3\u50c4\5E#\2\u50c4\u50c5\5%\23\2\u50c5\u50c6") buf.write("\5=\37\2\u50c6\u50c7\5? \2\u50c7\u50c8\5)\25\2\u50c8\u50c9") buf.write("\5%\23\2\u50c9\u50ca\5!\21\2\u50ca\u50cb\59\35\2\u50cb") buf.write("\u50cc\5)\25\2\u50cc\u50cd\5C\"\2\u50cd\u50ce\5!\21\2") buf.write("\u50ce\u50cf\5U+\2\u50cf\u50d0\5E#\2\u50d0\u50d1\5)\25") buf.write("\2\u50d1\u50d2\5A!\2\u50d2\u50d3\5I%\2\u50d3\u50d4\5)") buf.write("\25\2\u50d4\u50d5\5;\36\2\u50d5\u50d6\5%\23\2\u50d6\u50d7") buf.write("\5)\25\2\u50d7\u5853\3\2\2\2\u50d8\u50d9\5U+\2\u50d9\u50da") buf.write("\5)\25\2\u50da\u50db\59\35\2\u50db\u50dc\5#\22\2\u50dc") buf.write("\u50dd\5!\21\2\u50dd\u50de\5;\36\2\u50de\u50df\5\65\33") buf.write("\2\u50df\u50e0\59\35\2\u50e0\u50e1\5)\25\2\u50e1\u50e2") buf.write("\5;\36\2\u50e2\u50e3\5G$\2\u50e3\u5853\3\2\2\2\u50e4\u50e5") buf.write("\5U+\2\u50e5\u50e6\5)\25\2\u50e6\u50e7\5;\36\2\u50e7\u50e8") buf.write("\5G$\2\u50e8\u50e9\5C\"\2\u50e9\u50ea\5Q)\2\u50ea\u50eb") buf.write("\5U+\2\u50eb\u50ec\5I%\2\u50ec\u50ed\5M\'\2\u50ed\u50ee") buf.write("\5!\21\2\u50ee\u50ef\5E#\2\u50ef\u50f0\5!\21\2\u50f0\u50f1") buf.write("\5U+\2\u50f1\u50f2\5S*\2\u50f2\u50f3\5I%\2\u50f3\u50f4") buf.write("\5\65\33\2\u50f4\u50f5\5!\21\2\u50f5\u50f6\5;\36\2\u50f6") buf.write("\u5853\3\2\2\2\u50f7\u50f8\5U+\2\u50f8\u50f9\5G$\2\u50f9") buf.write("\u50fa\5!\21\2\u50fa\u50fb\5\67\34\2\u50fb\u50fc\5\65") buf.write("\33\2\u50fc\u50fd\5U+\2\u50fd\u50fe\5I%\2\u50fe\u50ff") buf.write("\5-\27\2\u50ff\u5100\5U+\2\u5100\u5101\5;\36\2\u5101\u5102") buf.write("\5? \2\u5102\u5103\5%\23\2\u5103\u5853\3\2\2\2\u5104\u5105") buf.write("\5U+\2\u5105\u5106\5G$\2\u5106\u5107\5C\"\2\u5107\u5108") buf.write("\5!\21\2\u5108\u5109\5\61\31\2\u5109\u510a\5;\36\2\u510a") buf.write("\u510b\5\61\31\2\u510b\u510c\5;\36\2\u510c\u510d\5-\27") buf.write("\2\u510d\u510e\5U+\2\u510e\u510f\5=\37\2\u510f\u5110\5") buf.write("? \2\u5110\u5111\5)\25\2\u5111\u5112\5;\36\2\u5112\u5853") buf.write("\3\2\2\2\u5113\u5114\5U+\2\u5114\u5115\5G$\2\u5115\u5116") buf.write("\5C\"\2\u5116\u5117\5!\21\2\u5117\u5118\5\61\31\2\u5118") buf.write("\u5119\5;\36\2\u5119\u511a\5\61\31\2\u511a\u511b\5;\36") buf.write("\2\u511b\u511c\5-\27\2\u511c\u511d\5U+\2\u511d\u511e\5") buf.write("=\37\2\u511e\u511f\5? \2\u511f\u5120\5)\25\2\u5120\u5121") buf.write("\5;\36\2\u5121\u5122\5U+\2\u5122\u5123\5M\'\2\u5123\u5124") buf.write("\5!\21\2\u5124\u5125\5\61\31\2\u5125\u5126\5G$\2\u5126") buf.write("\u5853\3\2\2\2\u5127\u5128\5U+\2\u5128\u5129\5%\23\2\u5129") buf.write("\u512a\5!\21\2\u512a\u512b\59\35\2\u512b\u512c\5)\25\2") buf.write("\u512c\u512d\5C\"\2\u512d\u512e\5!\21\2\u512e\u512f\5") buf.write("U+\2\u512f\u5130\5%\23\2\u5130\u5131\5=\37\2\u5131\u5132") buf.write("\5;\36\2\u5132\u5133\5G$\2\u5133\u5134\5C\"\2\u5134\u5135") buf.write("\5=\37\2\u5135\u5136\5\67\34\2\u5136\u5137\5\67\34\2\u5137") buf.write("\u5138\5)\25\2\u5138\u5139\5C\"\2\u5139\u513a\5U+\2\u513a") buf.write("\u513b\5\61\31\2\u513b\u513c\5E#\2\u513c\u513d\5U+\2\u513d") buf.write("\u513e\5;\36\2\u513e\u513f\5I%\2\u513f\u5140\5\67\34\2") buf.write("\u5140\u5141\5\67\34\2\u5141\u5853\3\2\2\2\u5142\u5143") buf.write("\5U+\2\u5143\u5144\5I%\2\u5144\u5145\59\35\2\u5145\u5146") buf.write("\5!\21\2\u5146\u5147\5U+\2\u5147\u5148\5\61\31\2\u5148") buf.write("\u5149\5E#\2\u5149\u514a\5U+\2\u514a\u514b\5;\36\2\u514b") buf.write("\u514c\5I%\2\u514c\u514d\5\67\34\2\u514d\u514e\5\67\34") buf.write("\2\u514e\u5853\3\2\2\2\u514f\u5150\5U+\2\u5150\u5151\5") buf.write("-\27\2\u5151\u5152\5)\25\2\u5152\u5153\5G$\2\u5153\u5154") buf.write("\5U+\2\u5154\u5155\5\61\31\2\u5155\u5156\5E#\2\u5156\u5157") buf.write("\5U+\2\u5157\u5158\5/\30\2\u5158\u5159\5!\21\2\u5159\u515a") buf.write("\5K&\2\u515a\u515b\5)\25\2\u515b\u515c\5U+\2\u515c\u515d") buf.write("\5E#\2\u515d\u515e\5)\25\2\u515e\u515f\5%\23\2\u515f\u5160") buf.write("\5C\"\2\u5160\u5161\5)\25\2\u5161\u5162\5G$\2\u5162\u5163") buf.write("\5#\22\2\u5163\u5164\5!\21\2\u5164\u5165\5E#\2\u5165\u5166") buf.write("\5)\25\2\u5166\u5853\3\2\2\2\u5167\u5168\5U+\2\u5168\u5169") buf.write("\5-\27\2\u5169\u516a\5)\25\2\u516a\u516b\5G$\2\u516b\u516c") buf.write("\5U+\2\u516c\u516d\5I%\2\u516d\u516e\5-\27\2\u516e\u516f") buf.write("\5U+\2\u516f\u5170\5;\36\2\u5170\u5171\5? \2\u5171\u5172") buf.write("\5%\23\2\u5172\u5173\5U+\2\u5173\u5174\5G$\2\u5174\u5175") buf.write("\5!\21\2\u5175\u5176\5\67\34\2\u5176\u5177\5\65\33\2\u5177") buf.write("\u5178\5U+\2\u5178\u5179\5%\23\2\u5179\u517a\5=\37\2\u517a") buf.write("\u517b\5I%\2\u517b\u517c\5;\36\2\u517c\u517d\5G$\2\u517d") buf.write("\u5853\3\2\2\2\u517e\u517f\5U+\2\u517f\u5180\5C\"\2\u5180") buf.write("\u5181\5)\25\2\u5181\u5182\5E#\2\u5182\u5183\5)\25\2\u5183") buf.write("\u5184\5G$\2\u5184\u5185\5U+\2\u5185\u5186\5I%\2\u5186") buf.write("\u5187\5-\27\2\u5187\u5188\5U+\2\u5188\u5189\5;\36\2\u5189") buf.write("\u518a\5? \2\u518a\u518b\5%\23\2\u518b\u518c\5U+\2\u518c") buf.write("\u518d\5G$\2\u518d\u518e\5!\21\2\u518e\u518f\5\67\34\2") buf.write("\u518f\u5190\5\65\33\2\u5190\u5191\5U+\2\u5191\u5192\5") buf.write("%\23\2\u5192\u5193\5=\37\2\u5193\u5194\5I%\2\u5194\u5195") buf.write("\5;\36\2\u5195\u5196\5G$\2\u5196\u5853\3\2\2\2\u5197\u5198") buf.write("\5U+\2\u5198\u5199\5G$\2\u5199\u519a\5)\25\2\u519a\u519b") buf.write("\59\35\2\u519b\u519c\5=\37\2\u519c\u519d\5G$\2\u519d\u519e") buf.write("\5\61\31\2\u519e\u519f\5U+\2\u519f\u51a0\5? \2\u51a0\u51a1") buf.write("\5=\37\2\u51a1\u51a2\5\65\33\2\u51a2\u51a3\5)\25\2\u51a3") buf.write("\u51a4\5U+\2\u51a4\u51a5\5%\23\2\u51a5\u51a6\5/\30\2\u51a6") buf.write("\u51a7\5\65\33\2\u51a7\u51a8\5U+\2\u51a8\u51a9\5-\27\2") buf.write("\u51a9\u51aa\5)\25\2\u51aa\u51ab\5G$\2\u51ab\u51ac\5U") buf.write("+\2\u51ac\u51ad\5? \2\u51ad\u51ae\5=\37\2\u51ae\u51af") buf.write("\5E#\2\u51af\u5853\3\2\2\2\u51b0\u51b1\5U+\2\u51b1\u51b2") buf.write("\5!\21\2\u51b2\u51b3\5%\23\2\u51b3\u51b4\5U+\2\u51b4\u51b5") buf.write("\5E#\2\u51b5\u51b6\5G$\2\u51b6\u51b7\5=\37\2\u51b7\u51b8") buf.write("\5? \2\u51b8\u51b9\5U+\2\u51b9\u51ba\5M\'\2\u51ba\u51bb") buf.write("\5!\21\2\u51bb\u51bc\5\67\34\2\u51bc\u51bd\5\65\33\2\u51bd") buf.write("\u51be\5U+\2\u51be\u51bf\5!\21\2\u51bf\u51c0\5;\36\2\u51c0") buf.write("\u51c1\5\61\31\2\u51c1\u51c2\59\35\2\u51c2\u51c3\5)\25") buf.write("\2\u51c3\u5853\3\2\2\2\u51c4\u51c5\5U+\2\u51c5\u51c6\5") buf.write("E#\2\u51c6\u51c7\5)\25\2\u51c7\u51c8\5G$\2\u51c8\u51c9") buf.write("\5U+\2\u51c9\u51ca\5+\26\2\u51ca\u51cb\5=\37\2\u51cb\u51cc") buf.write("\5C\"\2\u51cc\u51cd\5%\23\2\u51cd\u51ce\5)\25\2\u51ce") buf.write("\u51cf\5U+\2\u51cf\u51d0\5#\22\2\u51d0\u51d1\5\67\34\2") buf.write("\u51d1\u51d2\5\61\31\2\u51d2\u51d3\5;\36\2\u51d3\u51d4") buf.write("\5\65\33\2\u51d4\u5853\3\2\2\2\u51d5\u51d6\5U+\2\u51d6") buf.write("\u51d7\5%\23\2\u51d7\u51d8\5/\30\2\u51d8\u51d9\5)\25\2") buf.write("\u51d9\u51da\5%\23\2\u51da\u51db\5\65\33\2\u51db\u51dc") buf.write("\5U+\2\u51dc\u51dd\5E#\2\u51dd\u51de\5)\25\2\u51de\u51df") buf.write("\5%\23\2\u51df\u51e0\5C\"\2\u51e0\u51e1\5)\25\2\u51e1") buf.write("\u51e2\5G$\2\u51e2\u51e3\5U+\2\u51e3\u51e4\5#\22\2\u51e4") buf.write("\u51e5\5!\21\2\u51e5\u51e6\5E#\2\u51e6\u51e7\5)\25\2\u51e7") buf.write("\u51e8\5U+\2\u51e8\u51e9\5)\25\2\u51e9\u51ea\5O(\2\u51ea") buf.write("\u51eb\5? \2\u51eb\u51ec\5!\21\2\u51ec\u51ed\5;\36\2\u51ed") buf.write("\u51ee\5G$\2\u51ee\u51ef\5\61\31\2\u51ef\u51f0\5=\37\2") buf.write("\u51f0\u51f1\5;\36\2\u51f1\u5853\3\2\2\2\u51f2\u51f3\5") buf.write("U+\2\u51f3\u51f4\5G$\2\u51f4\u51f5\5K&\2\u51f5\u51f6\5") buf.write("U+\2\u51f6\u51f7\5G$\2\u51f7\u51f8\5=\37\2\u51f8\u51f9") buf.write("\5? \2\u51f9\u51fa\5\61\31\2\u51fa\u51fb\5%\23\2\u51fb") buf.write("\u51fc\5U+\2\u51fc\u51fd\5#\22\2\u51fd\u51fe\5C\"\2\u51fe") buf.write("\u51ff\5!\21\2\u51ff\u5200\5;\36\2\u5200\u5201\5%\23\2") buf.write("\u5201\u5202\5/\30\2\u5202\u5203\5U+\2\u5203\u5204\5-") buf.write("\27\2\u5204\u5205\5)\25\2\u5205\u5206\5G$\2\u5206\u5853") buf.write("\3\2\2\2\u5207\u5208\5U+\2\u5208\u5209\5G$\2\u5209\u520a") buf.write("\5K&\2\u520a\u520b\5U+\2\u520b\u520c\5G$\2\u520c\u520d") buf.write("\5=\37\2\u520d\u520e\5? \2\u520e\u520f\5\61\31\2\u520f") buf.write("\u5210\5%\23\2\u5210\u5211\5U+\2\u5211\u5212\5\61\31\2") buf.write("\u5212\u5213\5;\36\2\u5213\u5214\5G$\2\u5214\u5215\5U") buf.write("+\2\u5215\u5216\5-\27\2\u5216\u5217\5)\25\2\u5217\u5218") buf.write("\5G$\2\u5218\u5853\3\2\2\2\u5219\u521a\5U+\2\u521a\u521b") buf.write("\5G$\2\u521b\u521c\5K&\2\u521c\u521d\5U+\2\u521d\u521e") buf.write("\5G$\2\u521e\u521f\5=\37\2\u521f\u5220\5? \2\u5220\u5221") buf.write("\5\61\31\2\u5221\u5222\5%\23\2\u5222\u5223\5U+\2\u5223") buf.write("\u5224\5E#\2\u5224\u5225\5G$\2\u5225\u5226\5C\"\2\u5226") buf.write("\u5227\5U+\2\u5227\u5228\5M\'\2\u5228\u5229\5=\37\2\u5229") buf.write("\u522a\5C\"\2\u522a\u522b\5\'\24\2\u522b\u522c\5U+\2\u522c") buf.write("\u522d\5E#\2\u522d\u522e\5)\25\2\u522e\u522f\5G$\2\u522f") buf.write("\u5853\3\2\2\2\u5230\u5231\5U+\2\u5231\u5232\5=\37\2\u5232") buf.write("\u5233\5=\37\2\u5233\u5234\5\65\33\2\u5234\u5235\5\61") buf.write("\31\2\u5235\u5236\5E#\2\u5236\u5237\5!\21\2\u5237\u5238") buf.write("\5U+\2\u5238\u5239\5K&\2\u5239\u523a\5!\21\2\u523a\u523b") buf.write("\5\67\34\2\u523b\u523c\5I%\2\u523c\u523d\5)\25\2\u523d") buf.write("\u523e\5U+\2\u523e\u523f\5E#\2\u523f\u5240\5)\25\2\u5240") buf.write("\u5241\5G$\2\u5241\u5242\5U+\2\u5242\u5243\5#\22\2\u5243") buf.write("\u5244\5I%\2\u5244\u5245\5+\26\2\u5245\u5853\3\2\2\2\u5246") buf.write("\u5247\5U+\2\u5247\u5248\5E#\2\u5248\u5249\5)\25\2\u5249") buf.write("\u524a\5G$\2\u524a\u524b\5U+\2\u524b\u524c\5\67\34\2\u524c") 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buf.write("G$\2\u5274\u5275\5)\25\2\u5275\u5276\5C\"\2\u5276\u5853") buf.write("\3\2\2\2\u5277\u5278\5U+\2\u5278\u5279\5E#\2\u5279\u527a") buf.write("\5)\25\2\u527a\u527b\5G$\2\u527b\u527c\5U+\2\u527c\u527d") buf.write("\5\67\34\2\u527d\u527e\5\61\31\2\u527e\u527f\5-\27\2\u527f") buf.write("\u5280\5/\30\2\u5280\u5281\5G$\2\u5281\u5282\5\61\31\2") buf.write("\u5282\u5283\5;\36\2\u5283\u5284\5G$\2\u5284\u5285\5)") buf.write("\25\2\u5285\u5286\5;\36\2\u5286\u5287\5E#\2\u5287\u5288") buf.write("\5\61\31\2\u5288\u5289\5G$\2\u5289\u528a\5Q)\2\u528a\u528b") buf.write("\5U+\2\u528b\u528c\5? \2\u528c\u528d\5=\37\2\u528d\u528e") buf.write("\5\65\33\2\u528e\u528f\5)\25\2\u528f\u5853\3\2\2\2\u5290") buf.write("\u5291\5U+\2\u5291\u5292\5)\25\2\u5292\u5293\5;\36\2\u5293") buf.write("\u5294\5\'\24\2\u5294\u5295\5U+\2\u5295\u5296\5\67\34") buf.write("\2\u5296\u5297\5\61\31\2\u5297\u5298\5-\27\2\u5298\u5299") buf.write("\5/\30\2\u5299\u529a\5G$\2\u529a\u529b\5\61\31\2\u529b") buf.write("\u529c\5;\36\2\u529c\u529d\5G$\2\u529d\u529e\5)\25\2\u529e") buf.write("\u529f\5;\36\2\u529f\u52a0\5E#\2\u52a0\u52a1\5\61\31\2") buf.write("\u52a1\u52a2\5G$\2\u52a2\u52a3\5Q)\2\u52a3\u5853\3\2\2") buf.write("\2\u52a4\u52a5\5U+\2\u52a5\u52a6\5)\25\2\u52a6\u52a7\5") buf.write(";\36\2\u52a7\u52a8\5\'\24\2\u52a8\u52a9\5U+\2\u52a9\u52aa") buf.write("\5\67\34\2\u52aa\u52ab\5\61\31\2\u52ab\u52ac\5-\27\2\u52ac") buf.write("\u52ad\5/\30\2\u52ad\u52ae\5G$\2\u52ae\u52af\5\61\31\2") buf.write("\u52af\u52b0\5;\36\2\u52b0\u52b1\5G$\2\u52b1\u52b2\5)") buf.write("\25\2\u52b2\u52b3\5;\36\2\u52b3\u52b4\5E#\2\u52b4\u52b5") buf.write("\5\61\31\2\u52b5\u52b6\5G$\2\u52b6\u52b7\5Q)\2\u52b7\u52b8") buf.write("\5U+\2\u52b8\u52b9\5%\23\2\u52b9\u52ba\5/\30\2\u52ba\u52bb") buf.write("\5!\21\2\u52bb\u52bc\5C\"\2\u52bc\u52bd\5%\23\2\u52bd") buf.write("\u52be\5G$\2\u52be\u52bf\5)\25\2\u52bf\u52c0\5C\"\2\u52c0") buf.write("\u5853\3\2\2\2\u52c1\u52c2\5U+\2\u52c2\u52c3\5)\25\2\u52c3") buf.write("\u52c4\5;\36\2\u52c4\u52c5\5\'\24\2\u52c5\u52c6\5U+\2") buf.write("\u52c6\u52c7\5\67\34\2\u52c7\u52c8\5\61\31\2\u52c8\u52c9") buf.write("\5-\27\2\u52c9\u52ca\5/\30\2\u52ca\u52cb\5G$\2\u52cb\u52cc") buf.write("\5\61\31\2\u52cc\u52cd\5;\36\2\u52cd\u52ce\5G$\2\u52ce") buf.write("\u52cf\5)\25\2\u52cf\u52d0\5;\36\2\u52d0\u52d1\5E#\2\u52d1") buf.write("\u52d2\5\61\31\2\u52d2\u52d3\5G$\2\u52d3\u52d4\5Q)\2\u52d4") buf.write("\u52d5\5U+\2\u52d5\u52d6\5? \2\u52d6\u52d7\5=\37\2\u52d7") buf.write("\u52d8\5\65\33\2\u52d8\u52d9\5)\25\2\u52d9\u5853\3\2\2") buf.write("\2\u52da\u52db\5U+\2\u52db\u52dc\5!\21\2\u52dc\u52dd\5") buf.write("%\23\2\u52dd\u52de\5U+\2\u52de\u52df\5!\21\2\u52df\u52e0") buf.write("\5;\36\2\u52e0\u52e1\5\61\31\2\u52e1\u52e2\59\35\2\u52e2") buf.write("\u52e3\5)\25\2\u52e3\u52e4\5U+\2\u52e4\u52e5\5\'\24\2") buf.write("\u52e5\u52e6\5I%\2\u52e6\u52e7\5C\"\2\u52e7\u52e8\5!\21") buf.write("\2\u52e8\u52e9\5G$\2\u52e9\u52ea\5\61\31\2\u52ea\u52eb") buf.write("\5=\37\2\u52eb\u52ec\5;\36\2\u52ec\u5853\3\2\2\2\u52ed") buf.write("\u52ee\5U+\2\u52ee\u52ef\5G$\2\u52ef\u52f0\5K&\2\u52f0") buf.write("\u52f1\5U+\2\u52f1\u52f2\5C\"\2\u52f2\u52f3\5)\25\2\u52f3") buf.write("\u52f4\5\'\24\2\u52f4\u52f5\5U+\2\u52f5\u52f6\5-\27\2") buf.write("\u52f6\u52f7\5Q)\2\u52f7\u52f8\5!\21\2\u52f8\u52f9\5C") buf.write("\"\2\u52f9\u52fa\5!\21\2\u52fa\u52fb\5\'\24\2\u52fb\u52fc") buf.write("\5=\37\2\u52fc\u52fd\5E#\2\u52fd\u52fe\5U+\2\u52fe\u52ff") buf.write("\5=\37\2\u52ff\u5300\5;\36\2\u5300\u5853\3\2\2\2\u5301") buf.write("\u5302\5U+\2\u5302\u5303\5G$\2\u5303\u5304\5K&\2\u5304") buf.write("\u5305\5U+\2\u5305\u5306\5C\"\2\u5306\u5307\5)\25\2\u5307") buf.write("\u5308\5\'\24\2\u5308\u5309\5U+\2\u5309\u530a\5-\27\2") buf.write("\u530a\u530b\5Q)\2\u530b\u530c\5!\21\2\u530c\u530d\5C") buf.write("\"\2\u530d\u530e\5!\21\2\u530e\u530f\5\'\24\2\u530f\u5310") buf.write("\5=\37\2\u5310\u5311\5E#\2\u5311\u5312\5U+\2\u5312\u5313") buf.write("\5=\37\2\u5313\u5314\5+\26\2\u5314\u5315\5+\26\2\u5315") buf.write("\u5853\3\2\2\2\u5316\u5317\5U+\2\u5317\u5318\5? \2\u5318") buf.write("\u5319\5!\21\2\u5319\u531a\5C\"\2\u531a\u531b\5G$\2\u531b") buf.write("\u531c\5;\36\2\u531c\u531d\5)\25\2\u531d\u531e\5C\"\2") buf.write("\u531e\u531f\5U+\2\u531f\u5320\5;\36\2\u5320\u5321\5!") buf.write("\21\2\u5321\u5322\59\35\2\u5322\u5323\5)\25\2\u5323\u5324") buf.write("\5U+\2\u5324\u5325\5E#\2\u5325\u5326\5)\25\2\u5326\u5327") buf.write("\5G$\2\u5327\u5853\3\2\2\2\u5328\u5329\5U+\2\u5329\u532a") buf.write("\5G$\2\u532a\u532b\5K&\2\u532b\u532c\5U+\2\u532c\u532d") buf.write("\59\35\2\u532d\u532e\5=\37\2\u532e\u532f\5;\36\2\u532f") buf.write("\u5330\5\61\31\2\u5330\u5331\5G$\2\u5331\u5332\5=\37\2") buf.write("\u5332\u5333\5C\"\2\u5333\u5334\5U+\2\u5334\u5335\5E#") buf.write("\2\u5335\u5336\5)\25\2\u5336\u5337\5G$\2\u5337\u5853\3") buf.write("\2\2\2\u5338\u5339\5U+\2\u5339\u533a\5G$\2\u533a\u533b") buf.write("\5K&\2\u533b\u533c\5U+\2\u533c\u533d\59\35\2\u533d\u533e") buf.write("\5=\37\2\u533e\u533f\5;\36\2\u533f\u5340\5\61\31\2\u5340") buf.write("\u5341\5G$\2\u5341\u5342\5=\37\2\u5342\u5343\5C\"\2\u5343") buf.write("\u5344\5U+\2\u5344\u5345\5C\"\2\u5345\u5346\5)\25\2\u5346") buf.write("\u5347\5E#\2\u5347\u5348\5)\25\2\u5348\u5349\5G$\2\u5349") buf.write("\u5853\3\2\2\2\u534a\u534b\5U+\2\u534b\u534c\5)\25\2\u534c") buf.write("\u534d\5+\26\2\u534d\u534e\5+\26\2\u534e\u534f\5U+\2\u534f") buf.write("\u5350\5E#\2\u5350\u5351\5%\23\2\u5351\u5352\5!\21\2\u5352") buf.write("\u5353\5\67\34\2\u5353\u5354\5)\25\2\u5354\u5853\3\2\2") buf.write("\2\u5355\u5356\5U+\2\u5356\u5357\5-\27\2\u5357\u5358\5") buf.write(")\25\2\u5358\u5359\5G$\2\u5359\u535a\5U+\2\u535a\u535b") buf.write("\5\61\31\2\u535b\u535c\5G$\2\u535c\u535d\5)\25\2\u535d") buf.write("\u535e\59\35\2\u535e\u535f\5U+\2\u535f\u5360\5%\23\2\u5360") buf.write("\u5361\5=\37\2\u5361\u5362\5I%\2\u5362\u5363\5;\36\2\u5363") buf.write("\u5364\5G$\2\u5364\u5853\3\2\2\2\u5365\u5366\5U+\2\u5366") buf.write("\u5367\5? \2\u5367\u5368\5\67\34\2\u5368\u5369\5!\21\2") buf.write("\u5369\u536a\5Q)\2\u536a\u536b\5U+\2\u536b\u536c\5)\25") buf.write("\2\u536c\u536d\59\35\2\u536d\u536e\5=\37\2\u536e\u536f") buf.write("\5U+\2\u536f\u5370\5E#\2\u5370\u5371\5)\25\2\u5371\u5853") buf.write("\3\2\2\2\u5372\u5373\5U+\2\u5373\u5374\5!\21\2\u5374\u5375") buf.write("\5I%\2\u5375\u5376\5G$\2\u5376\u5377\5=\37\2\u5377\u5378") buf.write("\5U+\2\u5378\u5379\59\35\2\u5379\u537a\5E#\2\u537a\u537b") buf.write("\5-\27\2\u537b\u5853\3\2\2\2\u537c\u537d\5U+\2\u537d\u537e") buf.write("\5!\21\2\u537e\u537f\5I%\2\u537f\u5380\5G$\2\u5380\u5381") buf.write("\5=\37\2\u5381\u5382\5U+\2\u5382\u5383\59\35\2\u5383\u5384") buf.write("\5E#\2\u5384\u5385\5-\27\2\u5385\u5386\5U+\2\u5386\u5387") buf.write("\5E#\2\u5387\u5388\5G$\2\u5388\u5389\5=\37\2\u5389\u538a") buf.write("\5? \2\u538a\u5853\3\2\2\2\u538b\u538c\5U+\2\u538c\u538d") buf.write("\5-\27\2\u538d\u538e\5)\25\2\u538e\u538f\5G$\2\u538f\u5390") buf.write("\5U+\2\u5390\u5391\5G$\2\u5391\u5392\5!\21\2\u5392\u5393") buf.write("\5-\27\2\u5393\u5394\5U+\2\u5394\u5395\5? \2\u5395\u5396") buf.write("\5!\21\2\u5396\u5397\5G$\2\u5397\u5398\5;\36\2\u5398\u5399") buf.write("\5)\25\2\u5399\u539a\5C\"\2\u539a\u539b\5U+\2\u539b\u539c") buf.write("\5\61\31\2\u539c\u539d\5\'\24\2\u539d\u5853\3\2\2\2\u539e") buf.write("\u539f\5U+\2\u539f\u53a0\5!\21\2\u53a0\u53a1\5\'\24\2") buf.write("\u53a1\u53a2\5\'\24\2\u53a2\u53a3\5U+\2\u53a3\u53a4\5") buf.write("M\'\2\u53a4\u53a5\5!\21\2\u53a5\u53a6\5S*\2\u53a6\u53a7") buf.write("\5!\21\2\u53a7\u5853\3\2\2\2\u53a8\u53a9\5U+\2\u53a9\u53aa") buf.write("\5;\36\2\u53aa\u53ab\5\61\31\2\u53ab\u53ac\5%\23\2\u53ac") buf.write("\u53ad\5\65\33\2\u53ad\u53ae\5;\36\2\u53ae\u53af\5!\21") buf.write("\2\u53af\u53b0\59\35\2\u53b0\u53b1\5)\25\2\u53b1\u53b2") buf.write("\5U+\2\u53b2\u53b3\5? \2\u53b3\u53b4\5\67\34\2\u53b4\u53b5") buf.write("\5!\21\2\u53b5\u53b6\5%\23\2\u53b6\u53b7\5)\25\2\u53b7") buf.write("\u53b8\59\35\2\u53b8\u53b9\5)\25\2\u53b9\u53ba\5;\36\2") buf.write("\u53ba\u53bb\5G$\2\u53bb\u5853\3\2\2\2\u53bc\u53bd\5U") buf.write("+\2\u53bd\u53be\5I%\2\u53be\u53bf\5;\36\2\u53bf\u53c0") buf.write("\5\61\31\2\u53c0\u53c1\5A!\2\u53c1\u53c2\5I%\2\u53c2\u53c3") buf.write("\5)\25\2\u53c3\u53c4\5U+\2\u53c4\u53c5\5? \2\u53c5\u53c6") buf.write("\5=\37\2\u53c6\u53c7\5\65\33\2\u53c7\u53c8\5)\25\2\u53c8") buf.write("\u53c9\5U+\2\u53c9\u53ca\5G$\2\u53ca\u53cb\5)\25\2\u53cb") buf.write("\u53cc\59\35\2\u53cc\u53cd\5? \2\u53cd\u5853\3\2\2\2\u53ce") buf.write("\u53cf\5U+\2\u53cf\u53d0\5I%\2\u53d0\u53d1\5;\36\2\u53d1") buf.write("\u53d2\5\61\31\2\u53d2\u53d3\5A!\2\u53d3\u53d4\5I%\2\u53d4") buf.write("\u53d5\5)\25\2\u53d5\u53d6\5U+\2\u53d6\u53d7\5? \2\u53d7") buf.write("\u53d8\5=\37\2\u53d8\u53d9\5\65\33\2\u53d9\u53da\5)\25") buf.write("\2\u53da\u53db\5U+\2\u53db\u53dc\5+\26\2\u53dc\u53dd\5") buf.write("\61\31\2\u53dd\u53de\5O(\2\u53de\u5853\3\2\2\2\u53df\u53e0") buf.write("\5U+\2\u53e0\u53e1\5-\27\2\u53e1\u53e2\5)\25\2\u53e2\u53e3") buf.write("\5G$\2\u53e3\u53e4\5U+\2\u53e4\u53e5\5+\26\2\u53e5\u53e6") buf.write("\5=\37\2\u53e6\u53e7\5C\"\2\u53e7\u53e8\59\35\2\u53e8") buf.write("\u5853\3\2\2\2\u53e9\u53ea\5U+\2\u53ea\u53eb\5;\36\2\u53eb") buf.write("\u53ec\5\61\31\2\u53ec\u53ed\5%\23\2\u53ed\u53ee\5\65") buf.write("\33\2\u53ee\u53ef\5U+\2\u53ef\u53f0\5;\36\2\u53f0\u53f1") buf.write("\5!\21\2\u53f1\u53f2\59\35\2\u53f2\u53f3\5)\25\2\u53f3") buf.write("\u53f4\5U+\2\u53f4\u53f5\5!\21\2\u53f5\u53f6\5\67\34\2") buf.write("\u53f6\u53f7\5\67\34\2\u53f7\u5853\3\2\2\2\u53f8\u53f9") buf.write("\5U+\2\u53f9\u53fa\5\'\24\2\u53fa\u53fb\5=\37\2\u53fb") buf.write("\u53fc\5+\26\2\u53fc\u53fd\5U+\2\u53fd\u53fe\5%\23\2\u53fe") buf.write("\u53ff\5/\30\2\u53ff\u5400\5!\21\2\u5400\u5401\5;\36\2") buf.write("\u5401\u5402\5-\27\2\u5402\u5403\5)\25\2\u5403\u5404\5") buf.write("U+\2\u5404\u5405\5G$\2\u5405\u5406\5!\21\2\u5406\u5407") buf.write("\5C\"\2\u5407\u5408\5-\27\2\u5408\u5409\5)\25\2\u5409") buf.write("\u540a\5G$\2\u540a\u540b\5U+\2\u540b\u540c\5? \2\u540c") buf.write("\u540d\5=\37\2\u540d\u540e\5E#\2\u540e\u5853\3\2\2\2\u540f") buf.write("\u5410\5U+\2\u5410\u5411\5\'\24\2\u5411\u5412\5=\37\2") buf.write("\u5412\u5413\5+\26\2\u5413\u5414\5U+\2\u5414\u5415\5C") buf.write("\"\2\u5415\u5416\5)\25\2\u5416\u5417\5E#\2\u5417\u5418") buf.write("\5)\25\2\u5418\u5419\5G$\2\u5419\u541a\5U+\2\u541a\u541b") buf.write("\5G$\2\u541b\u541c\5!\21\2\u541c\u541d\5C\"\2\u541d\u541e") buf.write("\5-\27\2\u541e\u541f\5)\25\2\u541f\u5420\5G$\2\u5420\u5421") buf.write("\5U+\2\u5421\u5422\5? \2\u5422\u5423\5=\37\2\u5423\u5424") buf.write("\5E#\2\u5424\u5853\3\2\2\2\u5425\u5426\5U+\2\u5426\u5427") buf.write("\5!\21\2\u5427\u5428\5\'\24\2\u5428\u5429\5\'\24\2\u5429") buf.write("\u542a\5U+\2\u542a\u542b\59\35\2\u542b\u542c\5!\21\2\u542c") buf.write("\u542d\5C\"\2\u542d\u542e\5=\37\2\u542e\u542f\5Q)\2\u542f") buf.write("\u5430\5!\21\2\u5430\u5431\5\65\33\2\u5431\u5432\5!\21") buf.write("\2\u5432\u5433\5U+\2\u5433\u5434\5? \2\u5434\u5435\5=") buf.write("\37\2\u5435\u5436\5+\26\2\u5436\u5437\5+\26\2\u5437\u5438") buf.write("\5\61\31\2\u5438\u5439\5;\36\2\u5439\u5853\3\2\2\2\u543a") buf.write("\u543b\5U+\2\u543b\u543c\5!\21\2\u543c\u543d\5\67\34\2") buf.write("\u543d\u543e\5\67\34\2\u543e\u543f\5U+\2\u543f\u5440\5") buf.write("9\35\2\u5440\u5441\5=\37\2\u5441\u5442\5;\36\2\u5442\u5443") buf.write("\5E#\2\u5443\u5444\5;\36\2\u5444\u5445\5=\37\2\u5445\u5853") buf.write("\3\2\2\2\u5446\u5447\5U+\2\u5447\u5448\5!\21\2\u5448\u5449") buf.write("\5\67\34\2\u5449\u544a\5\67\34\2\u544a\u544b\5U+\2\u544b") buf.write("\u544c\59\35\2\u544c\u544d\5=\37\2\u544d\u544e\5;\36\2") buf.write("\u544e\u544f\5E#\2\u544f\u5450\5U+\2\u5450\u5451\5=\37") buf.write("\2\u5451\u5452\5M\'\2\u5452\u5453\5;\36\2\u5453\u5454") buf.write("\5U+\2\u5454\u5455\5%\23\2\u5455\u5456\5/\30\2\u5456\u5457") buf.write("\5\65\33\2\u5457\u5853\3\2\2\2\u5458\u5459\5U+\2\u5459") buf.write("\u545a\5%\23\2\u545a\u545b\5=\37\2\u545b\u545c\5;\36\2") buf.write("\u545c\u545d\5U+\2\u545d\u545e\5%\23\2\u545e\u545f\5!") buf.write("\21\2\u545f\u5460\5G$\2\u5460\u5461\5)\25\2\u5461\u5462") buf.write("\5-\27\2\u5462\u5463\5=\37\2\u5463\u5464\5C\"\2\u5464") buf.write("\u5465\5Q)\2\u5465\u5466\5U+\2\u5466\u5467\5;\36\2\u5467") buf.write("\u5468\5!\21\2\u5468\u5469\59\35\2\u5469\u546a\5)\25\2") buf.write("\u546a\u5853\3\2\2\2\u546b\u546c\5U+\2\u546c\u546d\5%") buf.write("\23\2\u546d\u546e\5=\37\2\u546e\u546f\5;\36\2\u546f\u5470") buf.write("\5U+\2\u5470\u5471\5C\"\2\u5471\u5472\5!\21\2\u5472\u5473") buf.write("\5;\36\2\u5473\u5474\5\65\33\2\u5474\u5475\5U+\2\u5475") buf.write("\u5476\5;\36\2\u5476\u5477\5!\21\2\u5477\u5478\59\35\2") buf.write("\u5478\u5479\5)\25\2\u5479\u5853\3\2\2\2\u547a\u547b\5") buf.write("U+\2\u547b\u547c\5? \2\u547c\u547d\5=\37\2\u547d\u547e") buf.write("\5\65\33\2\u547e\u547f\5)\25\2\u547f\u5480\5U+\2\u5480") buf.write("\u5481\5G$\2\u5481\u5482\5Q)\2\u5482\u5483\5? \2\u5483") buf.write("\u5484\5)\25\2\u5484\u5485\5U+\2\u5485\u5486\5;\36\2\u5486") buf.write("\u5487\5!\21\2\u5487\u5488\59\35\2\u5488\u5489\5)\25\2") buf.write("\u5489\u5853\3\2\2\2\u548a\u548b\5U+\2\u548b\u548c\5?") buf.write(" \2\u548c\u548d\5=\37\2\u548d\u548e\5+\26\2\u548e\u548f") buf.write("\5+\26\2\u548f\u5490\5\61\31\2\u5490\u5491\5;\36\2\u5491") buf.write("\u5492\5U+\2\u5492\u5493\5;\36\2\u5493\u5494\5!\21\2\u5494") buf.write("\u5495\59\35\2\u5495\u5496\5)\25\2\u5496\u5853\3\2\2\2") buf.write("\u5497\u5498\5U+\2\u5498\u5499\5\'\24\2\u5499\u549a\5") buf.write("C\"\2\u549a\u549b\5)\25\2\u549b\u549c\5E#\2\u549c\u549d") buf.write("\5E#\2\u549d\u549e\5U+\2\u549e\u549f\5;\36\2\u549f\u54a0") buf.write("\5!\21\2\u54a0\u54a1\59\35\2\u54a1\u54a2\5)\25\2\u54a2") buf.write("\u5853\3\2\2\2\u54a3\u54a4\5U+\2\u54a4\u54a5\5)\25\2\u54a5") buf.write("\u54a6\5K&\2\u54a6\u54a7\5)\25\2\u54a7\u54a8\5;\36\2\u54a8") buf.write("\u54a9\5G$\2\u54a9\u54aa\5U+\2\u54aa\u54ab\5)\25\2\u54ab") buf.write("\u54ac\5;\36\2\u54ac\u54ad\5G$\2\u54ad\u54ae\5\61\31\2") buf.write("\u54ae\u54af\5G$\2\u54af\u54b0\5Q)\2\u54b0\u54b1\5U+\2") buf.write("\u54b1\u54b2\5K&\2\u54b2\u54b3\5\61\31\2\u54b3\u54b4\5") buf.write("E#\2\u54b4\u54b5\5\61\31\2\u54b5\u54b6\5#\22\2\u54b6\u54b7") buf.write("\5\67\34\2\u54b7\u54b8\5)\25\2\u54b8\u5853\3\2\2\2\u54b9") buf.write("\u54ba\5U+\2\u54ba\u54bb\5I%\2\u54bb\u54bc\5-\27\2\u54bc") buf.write("\u54bd\5U+\2\u54bd\u54be\5\67\34\2\u54be\u54bf\5)\25\2") buf.write("\u54bf\u54c0\5!\21\2\u54c0\u54c1\5K&\2\u54c1\u54c2\5)") buf.write("\25\2\u54c2\u54c3\5U+\2\u54c3\u54c4\5/\30\2\u54c4\u54c5") buf.write("\5=\37\2\u54c5\u54c6\5Q)\2\u54c6\u54c7\5I%\2\u54c7\u54c8") buf.write("\5G$\2\u54c8\u54c9\5!\21\2\u54c9\u5853\3\2\2\2\u54ca\u54cb") buf.write("\5U+\2\u54cb\u54cc\5!\21\2\u54cc\u54cd\5S*\2\u54cd\u54ce") buf.write("\5I%\2\u54ce\u54cf\5\65\33\2\u54cf\u54d0\5!\21\2\u54d0") buf.write("\u54d1\5C\"\2\u54d1\u54d2\5\61\31\2\u54d2\u54d3\5Q)\2") buf.write("\u54d3\u54d4\5!\21\2\u54d4\u54d5\5U+\2\u54d5\u54d6\5E") buf.write("#\2\u54d6\u54d7\5G$\2\u54d7\u54d8\5=\37\2\u54d8\u54d9") buf.write("\5C\"\2\u54d9\u54da\5)\25\2\u54da\u54db\5U+\2\u54db\u54dc") buf.write("\5I%\2\u54dc\u54dd\5\61\31\2\u54dd\u5853\3\2\2\2\u54de") buf.write("\u54df\5U+\2\u54df\u54e0\5E#\2\u54e0\u54e1\5)\25\2\u54e1") buf.write("\u54e2\5G$\2\u54e2\u54e3\5U+\2\u54e3\u54e4\5G$\2\u54e4") buf.write("\u54e5\5)\25\2\u54e5\u54e6\5\67\34\2\u54e6\u54e7\5)\25") buf.write("\2\u54e7\u54e8\5? \2\u54e8\u54e9\5=\37\2\u54e9\u54ea\5") buf.write("C\"\2\u54ea\u54eb\5G$\2\u54eb\u54ec\5U+\2\u54ec\u54ed") buf.write("\5\61\31\2\u54ed\u54ee\5\'\24\2\u54ee\u5853\3\2\2\2\u54ef") buf.write("\u54f0\5U+\2\u54f0\u54f1\5? \2\u54f1\u54f2\5=\37\2\u54f2") buf.write("\u54f3\5\65\33\2\u54f3\u54f4\5)\25\2\u54f4\u54f5\5U+\2") buf.write("\u54f5\u54f6\5\67\34\2\u54f6\u54f7\5K&\2\u54f7\u54f8\5") buf.write("I%\2\u54f8\u54f9\5? \2\u54f9\u54fa\5U+\2\u54fa\u54fb\5") buf.write("/\30\2\u54fb\u54fc\5=\37\2\u54fc\u54fd\5M\'\2\u54fd\u54fe") buf.write("\5U+\2\u54fe\u54ff\59\35\2\u54ff\u5500\5!\21\2\u5500\u5501") buf.write("\5;\36\2\u5501\u5502\5Q)\2\u5502\u5853\3\2\2\2\u5503\u5504") buf.write("\5U+\2\u5504\u5505\5I%\2\u5505\u5506\5E#\2\u5506\u5507") buf.write("\5)\25\2\u5507\u5508\5U+\2\u5508\u5509\5E#\2\u5509\u550a") buf.write("\5? \2\u550a\u550b\5)\25\2\u550b\u550c\5%\23\2\u550c\u550d") buf.write("\5\61\31\2\u550d\u550e\5!\21\2\u550e\u550f\5\67\34\2\u550f") buf.write("\u5510\5U+\2\u5510\u5511\5\61\31\2\u5511\u5512\5G$\2\u5512") buf.write("\u5513\5)\25\2\u5513\u5514\59\35\2\u5514\u5853\3\2\2\2") buf.write("\u5515\u5516\5U+\2\u5516\u5517\5-\27\2\u5517\u5518\5)") buf.write("\25\2\u5518\u5519\5G$\2\u5519\u551a\5U+\2\u551a\u551b") buf.write("\5#\22\2\u551b\u551c\5? \2\u551c\u5853\3\2\2\2\u551d\u551e") buf.write("\5U+\2\u551e\u551f\5+\26\2\u551f\u5520\5=\37\2\u5520\u5521") buf.write("\5K&\2\u5521\u5522\5U+\2\u5522\u5523\5=\37\2\u5523\u5524") buf.write("\5+\26\2\u5524\u5525\5+\26\2\u5525\u5526\5E#\2\u5526\u5527") buf.write("\5)\25\2\u5527\u5528\5G$\2\u5528\u5529\5U+\2\u5529\u552a") buf.write("\5C\"\2\u552a\u552b\5!\21\2\u552b\u552c\5G$\2\u552c\u552d") buf.write("\5)\25\2\u552d\u5853\3\2\2\2\u552e\u552f\5U+\2\u552f\u5530") buf.write("\5=\37\2\u5530\u5531\5#\22\2\u5531\u5532\5\63\32\2\u5532") buf.write("\u5533\5U+\2\u5533\u5534\5\'\24\2\u5534\u5535\5\61\31") buf.write("\2\u5535\u5536\5C\"\2\u5536\u5537\5U+\2\u5537\u5538\5") buf.write("%\23\2\u5538\u5539\5/\30\2\u5539\u553a\5!\21\2\u553a\u553b") buf.write("\5;\36\2\u553b\u553c\5-\27\2\u553c\u553d\5)\25\2\u553d") buf.write("\u553e\5U+\2\u553e\u553f\5M\'\2\u553f\u5540\5=\37\2\u5540") buf.write("\u5541\5C\"\2\u5541\u5542\5\67\34\2\u5542\u5543\5\'\24") buf.write("\2\u5543\u5853\3\2\2\2\u5544\u5545\5U+\2\u5545\u5546\5") buf.write("=\37\2\u5546\u5547\5#\22\2\u5547\u5548\5\63\32\2\u5548") buf.write("\u5549\5U+\2\u5549\u554a\5? \2\u554a\u554b\5=\37\2\u554b") buf.write("\u554c\5E#\2\u554c\u554d\5U+\2\u554d\u554e\5%\23\2\u554e") buf.write("\u554f\5/\30\2\u554f\u5550\5!\21\2\u5550\u5551\5;\36\2") buf.write("\u5551\u5552\5-\27\2\u5552\u5553\5)\25\2\u5553\u5554\5") buf.write("U+\2\u5554\u5555\5M\'\2\u5555\u5556\5=\37\2\u5556\u5557") buf.write("\5C\"\2\u5557\u5558\5\67\34\2\u5558\u5559\5\'\24\2\u5559") buf.write("\u555a\5U+\2\u555a\u555b\5+\26\2\u555b\u555c\5\61\31\2") buf.write("\u555c\u555d\5;\36\2\u555d\u555e\5\'\24\2\u555e\u5853") buf.write("\3\2\2\2\u555f\u5560\5U+\2\u5560\u5561\5S*\2\u5561\u5562") buf.write("\5=\37\2\u5562\u5563\5;\36\2\u5563\u5564\5)\25\2\u5564") buf.write("\u5565\5U+\2\u5565\u5566\5;\36\2\u5566\u5567\5!\21\2\u5567") buf.write("\u5568\59\35\2\u5568\u5569\5)\25\2\u5569\u556a\5[.\2\u556a") buf.write("\u5853\3\2\2\2\u556b\u556c\5U+\2\u556c\u556d\5G$\2\u556d") buf.write("\u556e\5!\21\2\u556e\u556f\5\67\34\2\u556f\u5570\5\65") buf.write("\33\2\u5570\u5571\5U+\2\u5571\u5572\5%\23\2\u5572\u5573") buf.write("\5=\37\2\u5573\u5574\5\67\34\2\u5574\u5575\5\61\31\2\u5575") buf.write("\u5576\5E#\2\u5576\u5577\5)\25\2\u5577\u5578\5I%\2\u5578") buf.write("\u5579\59\35\2\u5579\u557a\5U+\2\u557a\u557b\5;\36\2\u557b") buf.write("\u557c\5? \2\u557c\u557d\5%\23\2\u557d\u5853\3\2\2\2\u557e") buf.write("\u557f\5U+\2\u557f\u5580\5I%\2\u5580\u5581\5E#\2\u5581") buf.write("\u5582\5)\25\2\u5582\u5583\5U+\2\u5583\u5584\5E#\2\u5584") buf.write("\u5585\5I%\2\u5585\u5586\5#\22\2\u5586\u5587\5U+\2\u5587") buf.write("\u5588\5!\21\2\u5588\u5589\5G$\2\u5589\u558a\5G$\2\u558a") buf.write("\u558b\5C\"\2\u558b\u558c\5\61\31\2\u558c\u558d\5#\22") buf.write("\2\u558d\u558e\5I%\2\u558e\u558f\5G$\2\u558f\u5590\5)") buf.write("\25\2\u5590\u5853\3\2\2\2\u5591\u5592\5U+\2\u5592\u5593") buf.write("\5!\21\2\u5593\u5594\5\'\24\2\u5594\u5595\5\'\24\2\u5595") buf.write("\u5596\5U+\2\u5596\u5597\5%\23\2\u5597\u5598\5I%\2\u5598") buf.write("\u5599\5E#\2\u5599\u559a\5G$\2\u559a\u559b\5I%\2\u559b") buf.write("\u559c\59\35\2\u559c\u559d\5U+\2\u559d\u559e\5M\'\2\u559e") buf.write("\u559f\5\61\31\2\u559f\u55a0\5;\36\2\u55a0\u55a1\5U+\2") buf.write("\u55a1\u55a2\5\67\34\2\u55a2\u55a3\5!\21\2\u55a3\u55a4") buf.write("\5#\22\2\u55a4\u55a5\5)\25\2\u55a5\u55a6\5\67\34\2\u55a6") buf.write("\u55a7\5U+\2\u55a7\u55a8\5G$\2\u55a8\u55a9\5M\'\2\u55a9") buf.write("\u55aa\5=\37\2\u55aa\u55ab\5U+\2\u55ab\u55ac\5M\'\2\u55ac") buf.write("\u55ad\5\61\31\2\u55ad\u55ae\5;\36\2\u55ae\u55af\5\'\24") buf.write("\2\u55af\u55b0\5=\37\2\u55b0\u55b1\5M\'\2\u55b1\u5853") buf.write("\3\2\2\2\u55b2\u55b3\5U+\2\u55b3\u55b4\5? \2\u55b4\u55b5") buf.write("\5=\37\2\u55b5\u55b6\5\65\33\2\u55b6\u55b7\5)\25\2\u55b7") buf.write("\u55b8\5U+\2\u55b8\u55b9\5\67\34\2\u55b9\u55ba\5)\25\2") buf.write("\u55ba\u55bb\5K&\2\u55bb\u55bc\5)\25\2\u55bc\u55bd\5\67") buf.write("\34\2\u55bd\u55be\5U+\2\u55be\u55bf\5-\27\2\u55bf\u55c0") buf.write("\5)\25\2\u55c0\u55c1\5G$\2\u55c1\u55c2\5U+\2\u55c2\u55c3") buf.write("\5!\21\2\u55c3\u55c4\5\67\34\2\u55c4\u55c5\5\67\34\2\u55c5") buf.write("\u5853\3\2\2\2\u55c6\u55c7\5U+\2\u55c7\u55c8\5C\"\2\u55c8") buf.write("\u55c9\5)\25\2\u55c9\u55ca\5E#\2\u55ca\u55cb\5)\25\2\u55cb") buf.write("\u55cc\5G$\2\u55cc\u55cd\5U+\2\u55cd\u55ce\5E#\2\u55ce") buf.write("\u55cf\5!\21\2\u55cf\u55d0\5K&\2\u55d0\u55d1\5)\25\2\u55d1") buf.write("\u55d2\5#\22\2\u55d2\u55d3\5-\27\2\u55d3\u55d4\59\35\2") buf.write("\u55d4\u5853\3\2\2\2\u55d5\u55d6\5U+\2\u55d6\u55d7\5#") buf.write("\22\2\u55d7\u55d8\5G$\2\u55d8\u55d9\5M\'\2\u55d9\u55da") buf.write("\5C\"\2\u55da\u55db\5U+\2\u55db\u55dc\5E#\2\u55dc\u55dd") buf.write("\5I%\2\u55dd\u55de\5#\22\2\u55de\u55df\5U+\2\u55df\u55e0") buf.write("\5E#\2\u55e0\u55e1\5)\25\2\u55e1\u55e2\5\67\34\2\u55e2") buf.write("\u55e3\5)\25\2\u55e3\u55e4\5%\23\2\u55e4\u55e5\5G$\2\u55e5") buf.write("\u55e6\5U+\2\u55e6\u55e7\5? \2\u55e7\u55e8\5=\37\2\u55e8") buf.write("\u55e9\5\65\33\2\u55e9\u55ea\5)\25\2\u55ea\u5853\3\2\2") buf.write("\2\u55eb\u55ec\5U+\2\u55ec\u55ed\5#\22\2\u55ed\u55ee\5") buf.write("G$\2\u55ee\u55ef\5M\'\2\u55ef\u55f0\5C\"\2\u55f0\u55f1") buf.write("\5U+\2\u55f1\u55f2\5E#\2\u55f2\u55f3\5I%\2\u55f3\u55f4") buf.write("\5#\22\2\u55f4\u55f5\5U+\2\u55f5\u55f6\5-\27\2\u55f6\u55f7") buf.write("\5)\25\2\u55f7\u55f8\5G$\2\u55f8\u55f9\5U+\2\u55f9\u55fa") buf.write("\5)\25\2\u55fa\u55fb\5;\36\2\u55fb\u55fc\5G$\2\u55fc\u55fd") buf.write("\5C\"\2\u55fd\u55fe\5Q)\2\u55fe\u55ff\5U+\2\u55ff\u5600") buf.write("\5? \2\u5600\u5601\5=\37\2\u5601\u5602\5\65\33\2\u5602") buf.write("\u5603\5)\25\2\u5603\u5853\3\2\2\2\u5604\u5605\5U+\2\u5605") buf.write("\u5606\5E#\2\u5606\u5607\5)\25\2\u5607\u5608\5G$\2\u5608") buf.write("\u5609\5U+\2\u5609\u560a\5-\27\2\u560a\u560b\5\67\34\2") buf.write("\u560b\u560c\5=\37\2\u560c\u560d\5#\22\2\u560d\u560e\5") buf.write("!\21\2\u560e\u560f\5\67\34\2\u560f\u5610\5M\'\2\u5610") buf.write("\u5611\5!\21\2\u5611\u5612\5G$\2\u5612\u5613\5)\25\2\u5613") buf.write("\u5614\5C\"\2\u5614\u5615\5+\26\2\u5615\u5616\5\61\31") buf.write("\2\u5616\u5617\5)\25\2\u5617\u5618\5\67\34\2\u5618\u5619") buf.write("\5\'\24\2\u5619\u5853\3\2\2\2\u561a\u561b\5U+\2\u561b") buf.write("\u561c\5G$\2\u561c\u561d\5K&\2\u561d\u561e\5U+\2\u561e") buf.write("\u561f\5\61\31\2\u561f\u5620\5;\36\2\u5620\u5621\5G$\2") buf.write("\u5621\u5622\5)\25\2\u5622\u5623\5C\"\2\u5623\u5624\5") buf.write("K&\2\u5624\u5625\5\61\31\2\u5625\u5626\5)\25\2\u5626\u5627") buf.write("\5M\'\2\u5627\u5628\5U+\2\u5628\u5629\5E#\2\u5629\u562a") buf.write("\5G$\2\u562a\u562b\5C\"\2\u562b\u562c\5U+\2\u562c\u562d") buf.write("\5M\'\2\u562d\u562e\5=\37\2\u562e\u562f\5C\"\2\u562f\u5630") buf.write("\5\'\24\2\u5630\u5631\5U+\2\u5631\u5632\5E#\2\u5632\u5633") buf.write("\5)\25\2\u5633\u5634\5G$\2\u5634\u5853\3\2\2\2\u5635\u5636") buf.write("\5U+\2\u5636\u5637\5S*\2\u5637\u5638\5=\37\2\u5638\u5639") buf.write("\5;\36\2\u5639\u563a\5)\25\2\u563a\u563b\5U+\2\u563b\u563c") buf.write("\5;\36\2\u563c\u563d\5!\21\2\u563d\u563e\59\35\2\u563e") buf.write("\u563f\5)\25\2\u563f\u5640\5U+\2\u5640\u5641\5\67\34\2") buf.write("\u5641\u5642\5!\21\2\u5642\u5643\5#\22\2\u5643\u5644\5") buf.write(")\25\2\u5644\u5645\5\67\34\2\u5645\u5853\3\2\2\2\u5646") buf.write("\u5647\5U+\2\u5647\u5648\5!\21\2\u5648\u5649\5I%\2\u5649") buf.write("\u564a\5G$\2\u564a\u564b\5=\37\2\u564b\u564c\5U+\2\u564c") buf.write("\u564d\5E#\2\u564d\u564e\5!\21\2\u564e\u564f\5K&\2\u564f") buf.write("\u5650\5)\25\2\u5650\u5651\5U+\2\u5651\u5652\5#\22\2\u5652") buf.write("\u5653\5!\21\2\u5653\u5654\5%\23\2\u5654\u5655\5\65\33") buf.write("\2\u5655\u5656\5U+\2\u5656\u5657\5I%\2\u5657\u5658\5?") buf.write(" \2\u5658\u5659\5U+\2\u5659\u565a\5=\37\2\u565a\u565b") buf.write("\5;\36\2\u565b\u5853\3\2\2\2\u565c\u565d\5U+\2\u565d\u565e") buf.write("\5-\27\2\u565e\u565f\5)\25\2\u565f\u5660\5G$\2\u5660\u5661") buf.write("\5U+\2\u5661\u5662\5E#\2\u5662\u5663\5G$\2\u5663\u5664") buf.write("\5!\21\2\u5664\u5665\5G$\2\u5665\u5666\5I%\2\u5666\u5667") buf.write("\5)\25\2\u5667\u5668\5U+\2\u5668\u5669\5;\36\2\u5669\u566a") buf.write("\5I%\2\u566a\u566b\59\35\2\u566b\u5853\3\2\2\2\u566c\u566d") buf.write("\5U+\2\u566d\u566e\5#\22\2\u566e\u566f\5G$\2\u566f\u5670") buf.write("\5M\'\2\u5670\u5671\5C\"\2\u5671\u5672\5U+\2\u5672\u5673") buf.write("\5? \2\u5673\u5674\5\67\34\2\u5674\u5675\5!\21\2\u5675") buf.write("\u5676\5Q)\2\u5676\u5677\5)\25\2\u5677\u5678\5C\"\2\u5678") buf.write("\u5679\5U+\2\u5679\u567a\5M\'\2\u567a\u567b\5\61\31\2") buf.write("\u567b\u567c\5;\36\2\u567c\u567d\5U+\2\u567d\u567e\5%") buf.write("\23\2\u567e\u567f\5/\30\2\u567f\u5680\5)\25\2\u5680\u5681") buf.write("\5%\23\2\u5681\u5682\5\65\33\2\u5682\u5853\3\2\2\2\u5683") buf.write("\u5684\5U+\2\u5684\u5685\5-\27\2\u5685\u5686\5)\25\2\u5686") buf.write("\u5687\5G$\2\u5687\u5688\5U+\2\u5688\u5689\5-\27\2\u5689") buf.write("\u568a\5=\37\2\u568a\u568b\5\67\34\2\u568b\u568c\5\'\24") buf.write("\2\u568c\u5853\3\2\2\2\u568d\u568e\5U+\2\u568e\u568f\5") buf.write("!\21\2\u568f\u5690\5-\27\2\u5690\u5691\5U+\2\u5691\u5692") buf.write("\5G$\2\u5692\u5693\5C\"\2\u5693\u5694\5!\21\2\u5694\u5695") buf.write("\5;\36\2\u5695\u5696\5E#\2\u5696\u5697\5\61\31\2\u5697") buf.write("\u5698\5G$\2\u5698\u5699\5\61\31\2\u5699\u569a\5=\37\2") buf.write("\u569a\u569b\5;\36\2\u569b\u569c\5U+\2\u569c\u569d\5/") buf.write("\30\2\u569d\u569e\5=\37\2\u569e\u569f\5Q)\2\u569f\u56a0") buf.write("\5I%\2\u56a0\u56a1\5G$\2\u56a1\u56a2\5!\21\2\u56a2\u5853") buf.write("\3\2\2\2\u56a3\u56a4\5U+\2\u56a4\u56a5\5!\21\2\u56a5\u56a6") buf.write("\5\'\24\2\u56a6\u56a7\5\'\24\2\u56a7\u56a8\5U+\2\u56a8") buf.write("\u56a9\5? \2\u56a9\u56aa\5=\37\2\u56aa\u56ab\5\65\33\2") buf.write("\u56ab\u56ac\5)\25\2\u56ac\u56ad\59\35\2\u56ad\u56ae\5") buf.write("=\37\2\u56ae\u56af\5;\36\2\u56af\u56b0\5U+\2\u56b0\u56b1") buf.write("\5I%\2\u56b1\u56b2\5\61\31\2\u56b2\u5853\3\2\2\2\u56b3") buf.write("\u56b4\5U+\2\u56b4\u56b5\5-\27\2\u56b5\u56b6\5)\25\2\u56b6") buf.write("\u56b7\5G$\2\u56b7\u56b8\5U+\2\u56b8\u56b9\5+\26\2\u56b9") buf.write("\u56ba\5I%\2\u56ba\u56bb\5C\"\2\u56bb\u56bc\5)\25\2\u56bc") buf.write("\u56bd\5!\21\2\u56bd\u56be\5\61\31\2\u56be\u56bf\5U+\2") buf.write("\u56bf\u56c0\5E#\2\u56c0\u56c1\5)\25\2\u56c1\u56c2\5\67") buf.write("\34\2\u56c2\u56c3\5)\25\2\u56c3\u56c4\5%\23\2\u56c4\u56c5") buf.write("\5G$\2\u56c5\u56c6\5U+\2\u56c6\u56c7\5? \2\u56c7\u56c8") buf.write("\5=\37\2\u56c8\u56c9\5\65\33\2\u56c9\u56ca\5)\25\2\u56ca") buf.write("\u56cb\5U+\2\u56cb\u56cc\5G$\2\u56cc\u56cd\5)\25\2\u56cd") buf.write("\u56ce\59\35\2\u56ce\u56cf\5=\37\2\u56cf\u56d0\5G$\2\u56d0") buf.write("\u56d1\5\61\31\2\u56d1\u56d2\5U+\2\u56d2\u56d3\5;\36\2") buf.write("\u56d3\u56d4\5=\37\2\u56d4\u5853\3\2\2\2\u56d5\u56d6\5") buf.write("U+\2\u56d6\u56d7\5G$\2\u56d7\u56d8\5K&\2\u56d8\u56d9\5") buf.write("U+\2\u56d9\u56da\5G$\2\u56da\u56db\5=\37\2\u56db\u56dc") buf.write("\5? \2\u56dc\u56dd\5\61\31\2\u56dd\u56de\5%\23\2\u56de") buf.write("\u56df\5U+\2\u56df\u56e0\5E#\2\u56e0\u56e1\5G$\2\u56e1") buf.write("\u56e2\5C\"\2\u56e2\u56e3\5U+\2\u56e3\u56e4\5-\27\2\u56e4") buf.write("\u56e5\5)\25\2\u56e5\u56e6\5;\36\2\u56e6\u56e7\5\'\24") buf.write("\2\u56e7\u56e8\5)\25\2\u56e8\u56e9\5C\"\2\u56e9\u56ea") buf.write("\5U+\2\u56ea\u56eb\5M\'\2\u56eb\u56ec\5=\37\2\u56ec\u56ed") buf.write("\5C\"\2\u56ed\u56ee\5\'\24\2\u56ee\u56ef\5U+\2\u56ef\u56f0") buf.write("\5E#\2\u56f0\u56f1\5)\25\2\u56f1\u56f2\5G$\2\u56f2\u5853") buf.write("\3\2\2\2\u56f3\u56f4\5U+\2\u56f4\u56f5\5)\25\2\u56f5\u56f6") buf.write("\5K&\2\u56f6\u56f7\5)\25\2\u56f7\u56f8\5;\36\2\u56f8\u56f9") buf.write("\5G$\2\u56f9\u56fa\5U+\2\u56fa\u56fb\5)\25\2\u56fb\u56fc") buf.write("\5;\36\2\u56fc\u56fd\5G$\2\u56fd\u56fe\5\61\31\2\u56fe") buf.write("\u56ff\5G$\2\u56ff\u5700\5Q)\2\u5700\u5701\5U+\2\u5701") buf.write("\u5702\5%\23\2\u5702\u5703\5\67\34\2\u5703\u5704\5\61") buf.write("\31\2\u5704\u5705\5? \2\u5705\u5706\5U+\2\u5706\u5707") buf.write("\5!\21\2\u5707\u5708\5G$\2\u5708\u5709\5G$\2\u5709\u570a") buf.write("\5!\21\2\u570a\u570b\5%\23\2\u570b\u570c\5/\30\2\u570c") buf.write("\u570d\5U+\2\u570d\u570e\5? \2\u570e\u570f\5\67\34\2\u570f") buf.write("\u5710\5!\21\2\u5710\u5711\5Q)\2\u5711\u5712\5)\25\2\u5712") buf.write("\u5713\5C\"\2\u5713\u5853\3\2\2\2\u5714\u5715\5U+\2\u5715") buf.write("\u5716\5-\27\2\u5716\u5717\5)\25\2\u5717\u5718\5G$\2\u5718") buf.write("\u5719\5U+\2\u5719\u571a\5? \2\u571a\u571b\5=\37\2\u571b") buf.write("\u571c\5\65\33\2\u571c\u571d\5)\25\2\u571d\u571e\5U+\2") buf.write("\u571e\u571f\5%\23\2\u571f\u5720\5=\37\2\u5720\u5721\5") buf.write("I%\2\u5721\u5722\5;\36\2\u5722\u5723\5G$\2\u5723\u5724") buf.write("\5a\61\2\u5724\u5853\3\2\2\2\u5725\u5726\5U+\2\u5726\u5727") buf.write("\5!\21\2\u5727\u5728\5\'\24\2\u5728\u5729\5\'\24\2\u5729") buf.write("\u572a\5U+\2\u572a\u572b\5I%\2\u572b\u572c\5;\36\2\u572c") buf.write("\u572d\5\61\31\2\u572d\u572e\5A!\2\u572e\u572f\5I%\2\u572f") buf.write("\u5730\5)\25\2\u5730\u5731\5U+\2\u5731\u5732\5? \2\u5732") buf.write("\u5733\5=\37\2\u5733\u5734\5\65\33\2\u5734\u5735\5)\25") buf.write("\2\u5735\u5736\59\35\2\u5736\u5737\5=\37\2\u5737\u5738") buf.write("\5;\36\2\u5738\u5739\5U+\2\u5739\u573a\5I%\2\u573a\u573b") buf.write("\5\61\31\2\u573b\u5853\3\2\2\2\u573c\u573d\5U+\2\u573d") buf.write("\u573e\5#\22\2\u573e\u573f\5G$\2\u573f\u5740\5M\'\2\u5740") buf.write("\u5741\5C\"\2\u5741\u5742\5U+\2\u5742\u5743\5E#\2\u5743") buf.write("\u5744\5I%\2\u5744\u5745\5#\22\2\u5745\u5746\5U+\2\u5746") buf.write("\u5747\5!\21\2\u5747\u5748\5\'\24\2\u5748\u5749\5\'\24") buf.write("\2\u5749\u574a\5U+\2\u574a\u574b\5#\22\2\u574b\u574c\5") buf.write("!\21\2\u574c\u574d\5G$\2\u574d\u574e\5G$\2\u574e\u574f") buf.write("\5\67\34\2\u574f\u5750\5)\25\2\u5750\u5751\5U+\2\u5751") buf.write("\u5752\5? \2\u5752\u5753\5=\37\2\u5753\u5754\5\61\31\2") buf.write("\u5754\u5755\5;\36\2\u5755\u5756\5G$\2\u5756\u5757\5U") buf.write("+\2\u5757\u5758\59\35\2\u5758\u5759\5!\21\2\u5759\u575a") buf.write("\5;\36\2\u575a\u575b\5I%\2\u575b\u575c\5!\21\2\u575c\u575d") buf.write("\5\67\34\2\u575d\u5853\3\2\2\2\u575e\u575f\5U+\2\u575f") buf.write("\u5760\5? \2\u5760\u5761\5=\37\2\u5761\u5762\5\65\33\2") buf.write("\u5762\u5763\5)\25\2\u5763\u5764\5U+\2\u5764\u5765\5G") buf.write("$\2\u5765\u5766\5!\21\2\u5766\u5767\5C\"\2\u5767\u5768") buf.write("\5)\25\2\u5768\u5769\5;\36\2\u5769\u576a\5G$\2\u576a\u576b") buf.write("\5U+\2\u576b\u576c\5? \2\u576c\u576d\5=\37\2\u576d\u576e") buf.write("\5M\'\2\u576e\u576f\5U+\2\u576f\u5770\59\35\2\u5770\u5771") buf.write("\5!\21\2\u5771\u5772\5O(\2\u5772\u5853\3\2\2\2\u5773\u5774") buf.write("\5U+\2\u5774\u5775\5=\37\2\u5775\u5776\5? \2\u5776\u5777") buf.write("\5)\25\2\u5777\u5778\5;\36\2\u5778\u5779\5U+\2\u5779\u577a") buf.write("\5#\22\2\u577a\u577b\5!\21\2\u577b\u577c\5G$\2\u577c\u577d") buf.write("\5G$\2\u577d\u577e\5\67\34\2\u577e\u577f\5)\25\2\u577f") buf.write("\u5780\5U+\2\u5780\u5781\5M\'\2\u5781\u5782\5\61\31\2") buf.write("\u5782\u5783\5;\36\2\u5783\u5853\3\2\2\2\u5784\u5785\5") buf.write("U+\2\u5785\u5786\5=\37\2\u5786\u5787\5\63\32\2\u5787\u5788") buf.write("\5\61\31\2\u5788\u5789\5-\27\2\u5789\u578a\5\61\31\2\u578a") buf.write("\u5853\3\2\2\2\u578b\u578c\5U+\2\u578c\u578d\5\'\24\2") buf.write("\u578d\u578e\5!\21\2\u578e\u578f\5C\"\2\u578f\u5790\5") buf.write("\65\33\2\u5790\u5791\5;\36\2\u5791\u5792\5)\25\2\u5792") buf.write("\u5793\5E#\2\u5793\u5794\5E#\2\u5794\u5795\5U+\2\u5795") buf.write("\u5796\5G$\2\u5796\u5797\5)\25\2\u5797\u5798\59\35\2\u5798") buf.write("\u5799\5? \2\u5799\u579a\5=\37\2\u579a\u579b\5C\"\2\u579b") buf.write("\u579c\5!\21\2\u579c\u579d\5C\"\2\u579d\u579e\5\61\31") buf.write("\2\u579e\u579f\5\67\34\2\u579f\u57a0\5Q)\2\u57a0\u57a1") buf.write("\5U+\2\u57a1\u57a2\5=\37\2\u57a2\u57a3\5+\26\2\u57a3\u57a4") buf.write("\5+\26\2\u57a4\u5853\3\2\2\2\u57a5\u57a6\5U+\2\u57a6\u57a7") buf.write("\5\'\24\2\u57a7\u57a8\5!\21\2\u57a8\u57a9\5C\"\2\u57a9") buf.write("\u57aa\5\65\33\2\u57aa\u57ab\5;\36\2\u57ab\u57ac\5)\25") buf.write("\2\u57ac\u57ad\5E#\2\u57ad\u57ae\5E#\2\u57ae\u57af\5U") buf.write("+\2\u57af\u57b0\5G$\2\u57b0\u57b1\5)\25\2\u57b1\u57b2") buf.write("\59\35\2\u57b2\u57b3\5? \2\u57b3\u57b4\5=\37\2\u57b4\u57b5") buf.write("\5C\"\2\u57b5\u57b6\5!\21\2\u57b6\u57b7\5C\"\2\u57b7\u57b8") buf.write("\5\61\31\2\u57b8\u57b9\5\67\34\2\u57b9\u57ba\5Q)\2\u57ba") buf.write("\u57bb\5U+\2\u57bb\u57bc\5=\37\2\u57bc\u57bd\5;\36\2\u57bd") buf.write("\u5853\3\2\2\2\u57be\u57bf\5U+\2\u57bf\u57c0\5E#\2\u57c0") buf.write("\u57c1\5!\21\2\u57c1\u57c2\5K&\2\u57c2\u57c3\5)\25\2\u57c3") buf.write("\u57c4\5U+\2\u57c4\u57c5\5? \2\u57c5\u57c6\5\67\34\2\u57c6") buf.write("\u57c7\5!\21\2\u57c7\u57c8\5Q)\2\u57c8\u57c9\5C\"\2\u57c9") buf.write("\u57ca\5)\25\2\u57ca\u57cb\5? \2\u57cb\u57cc\5=\37\2\u57cc") buf.write("\u57cd\5C\"\2\u57cd\u57ce\5G$\2\u57ce\u5853\3\2\2\2\u57cf") buf.write("\u57d0\5U+\2\u57d0\u57d1\5E#\2\u57d1\u57d2\5)\25\2\u57d2") buf.write("\u57d3\5G$\2\u57d3\u57d4\5U+\2\u57d4\u57d5\5E#\2\u57d5") buf.write("\u57d6\5G$\2\u57d6\u57d7\5=\37\2\u57d7\u57d8\5? \2\u57d8") buf.write("\u57d9\5U+\2\u57d9\u57da\5)\25\2\u57da\u57db\5Q)\2\u57db") buf.write("\u57dc\5)\25\2\u57dc\u57dd\5U+\2\u57dd\u57de\5)\25\2\u57de") buf.write("\u57df\5;\36\2\u57df\u57e0\5%\23\2\u57e0\u57e1\5=\37\2") buf.write("\u57e1\u57e2\5I%\2\u57e2\u57e3\5;\36\2\u57e3\u57e4\5G") buf.write("$\2\u57e4\u5853\3\2\2\2\u57e5\u57e6\5U+\2\u57e6\u57e7") buf.write("\5C\"\2\u57e7\u57e8\5)\25\2\u57e8\u57e9\5E#\2\u57e9\u57ea") buf.write("\5)\25\2\u57ea\u57eb\5G$\2\u57eb\u57ec\5U+\2\u57ec\u57ed") buf.write("\5E#\2\u57ed\u57ee\5G$\2\u57ee\u57ef\5=\37\2\u57ef\u57f0") buf.write("\5? \2\u57f0\u57f1\5U+\2\u57f1\u57f2\5)\25\2\u57f2\u57f3") buf.write("\5Q)\2\u57f3\u57f4\5)\25\2\u57f4\u57f5\5U+\2\u57f5\u57f6") buf.write("\5)\25\2\u57f6\u57f7\5;\36\2\u57f7\u57f8\5%\23\2\u57f8") buf.write("\u57f9\5=\37\2\u57f9\u57fa\5I%\2\u57fa\u57fb\5;\36\2\u57fb") buf.write("\u57fc\5G$\2\u57fc\u5853\3\2\2\2\u57fd\u57fe\5U+\2\u57fe") buf.write("\u57ff\5=\37\2\u57ff\u5800\5? \2\u5800\u5801\5)\25\2\u5801") buf.write("\u5802\5;\36\2\u5802\u5803\5U+\2\u5803\u5804\5%\23\2\u5804") buf.write("\u5805\5I%\2\u5805\u5806\5E#\2\u5806\u5807\5G$\2\u5807") buf.write("\u5808\5I%\2\u5808\u5809\59\35\2\u5809\u580a\5U+\2\u580a") buf.write("\u580b\5M\'\2\u580b\u580c\5\61\31\2\u580c\u580d\5;\36") buf.write("\2\u580d\u580e\5U+\2\u580e\u580f\5+\26\2\u580f\u5810\5") buf.write("\61\31\2\u5810\u5811\5O(\2\u5811\u5812\5)\25\2\u5812\u5813") buf.write("\5\'\24\2\u5813\u5853\3\2\2\2\u5814\u5815\5U+\2\u5815") buf.write("\u5816\5? \2\u5816\u5817\5\67\34\2\u5817\u5818\5!\21\2") buf.write("\u5818\u5819\5Q)\2\u5819\u581a\5U+\2\u581a\u581b\5C\"") buf.write("\2\u581b\u581c\5)\25\2\u581c\u581d\5? \2\u581d\u581e\5") buf.write("=\37\2\u581e\u581f\5C\"\2\u581f\u5820\5G$\2\u5820\u5821") buf.write("\5U+\2\u5821\u5822\5G$\2\u5822\u5823\5C\"\2\u5823\u5824") buf.write("\5!\21\2\u5824\u5825\5\61\31\2\u5825\u5826\5;\36\2\u5826") buf.write("\u5827\5\61\31\2\u5827\u5828\5;\36\2\u5828\u5829\5-\27") buf.write("\2\u5829\u5853\3\2\2\2\u582a\u582b\5U+\2\u582b\u582c\5") buf.write("? \2\u582c\u582d\5\67\34\2\u582d\u582e\5!\21\2\u582e\u582f") buf.write("\5Q)\2\u582f\u5830\5U+\2\u5830\u5831\5C\"\2\u5831\u5832") buf.write("\5)\25\2\u5832\u5833\5? \2\u5833\u5834\5=\37\2\u5834\u5835") buf.write("\5C\"\2\u5835\u5836\5G$\2\u5836\u5837\5U+\2\u5837\u5838") buf.write("\5#\22\2\u5838\u5839\5G$\2\u5839\u583a\5\67\34\2\u583a") buf.write("\u583b\5G$\2\u583b\u583c\5=\37\2\u583c\u583d\5M\'\2\u583d") 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buf.write("\2\u58daf\3\2\2\2\u58db\u58dc\7:\2\2\u58dch\3\2\2\2\u58dd") buf.write("\u58de\7;\2\2\u58dej\3\2\2\2\20\2rt\u5852\u5855\u585a") buf.write("\u5860\u5862\u5868\u586e\u5874\u587a\u5883\u588b\3\b\2") buf.write("\2") return buf.getvalue() class evLexer(Lexer): atn = ATNDeserializer().deserialize(serializedATN()) decisionsToDFA = [ DFA(ds, i) for i, ds in enumerate(atn.decisionToState) ] T__0 = 1 T__1 = 2 T__2 = 3 LABEL = 4 EVCMD = 5 NUMBER = 6 WORK = 7 FLAG = 8 SYS_FLAG = 9 COMMENT = 10 STRING = 11 EOL = 12 WS = 13 channelNames = [ u"DEFAULT_TOKEN_CHANNEL", u"HIDDEN" ] modeNames = [ "DEFAULT_MODE" ] literalNames = [ "<INVALID>", "'('", "','", "')'" ] symbolicNames = [ "<INVALID>", "LABEL", "EVCMD", "NUMBER", "WORK", "FLAG", "SYS_FLAG", "COMMENT", "STRING", "EOL", "WS" ] ruleNames = [ "T__0", "T__1", "T__2", "LABEL", "EVCMD", "NUMBER", "WORK", "FLAG", "SYS_FLAG", "COMMENT", "STRING", "EOL", "WS", "DIGIT", "PERIOD", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R", "S", "T", "U", "V", "W", "X", "Y", "Z", "UBAR", "ZERO", "ONE", "TWO", "THREE", "FOUR", "FIVE", "SIX", "SEVEN", "EIGHT", "NINE" ] grammarFileName = "ev.g4" def __init__(self, input=None, output:TextIO = sys.stdout): super().__init__(input, output) self.checkVersion("4.9.3") self._interp = LexerATNSimulator(self, self.atn, self.decisionsToDFA, PredictionContextCache()) self._actions = None self._predicates = None

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py

Python

TEEM_module.py

aminsabetsarvestani/TEE-Faster-RCNN

c75547999dfa2aa71d80c74ad87f2dd9608f9b1e

[ "MIT" ]

2

2021-06-19T13:54:48.000Z

2021-12-16T16:37:49.000Z

TEEM_module.py

aminsabetsarvestani/TEE-Faster-RCNN

c75547999dfa2aa71d80c74ad87f2dd9608f9b1e

[ "MIT" ]

null

TEEM_module.py

aminsabetsarvestani/TEE-Faster-RCNN

c75547999dfa2aa71d80c74ad87f2dd9608f9b1e

[ "MIT" ]

null

import json import random import numpy as np import torch import torch.nn as nn import torch.nn.functional as F def conv3x3(in_planes, out_planes, stride=1, groups=1, dilation=1): """3x3 convolution with padding""" return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=1, padding=dilation, groups=groups, bias=False, dilation=dilation) def conv1x1(in_planes, out_planes, stride=1): """1x1 convolution""" return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False) class TEEM(nn.Module): def __init__(self,chn,final): super(TEEM,self).__init__() self.channel = chn self.dual_channel = chn*2 self.inter_mid = int(chn/2) self.final_channel = final if self.final_channel == 0: self.final_channel = 2 self.early_conv2d_1 = conv3x3(self.dual_channel, 1, stride=1) self.early_conv2d_3 = conv3x3(self.channel, self.final_channel, stride=1) #self.relu1 = nn.Sigmoid() self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d( self.inter_mid) self.norm2 = nn.BatchNorm2d(self.final_channel) self.avg = nn.AdaptiveAvgPool2d((1, 1)) self.softmax = nn.Softmax(dim=1) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 x = torch.cat((difference,input_2),1) x = self.early_conv2d_1(x) x = torch.sigmoid(x) x = x.expand_as(input_2) x = x*input_2 x = self.early_conv2d_3(x) x = self.norm2(x) x = self.relu2(x) x = self.avg(x) output = self.classifier(torch.flatten(x, 1)) output = self.softmax(output) return output class ChangeDetectorDoubleAttDyn4(nn.Module): def __init__(self,chn,final): super().__init__() self.channel = chn self.dual_channel = chn*2 self.inter_mid = int(chn/2) self.final_channel = final if self.final_channel == 0: self.final_channel = 2 self.early_conv2d_1 = conv3x3(self.dual_channel, 1, stride=1) self.early_conv2d_3 = conv3x3(self.channel, self.final_channel, stride=1) #self.relu1 = nn.Sigmoid() self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d( self.inter_mid) self.norm2 = nn.BatchNorm2d(self.final_channel) self.avg = nn.AdaptiveAvgPool2d((1, 1)) self.softmax = nn.Softmax(dim=1) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 x = torch.cat((difference,input_2),1) x = self.early_conv2d_1(x) x = torch.sigmoid(x) x = x.expand_as(input_2) x = x*input_2 x = self.avg(x) output = self.classifier(torch.flatten(x, 1)) output = self.softmax(output) return output class ChangeDetectorDoubleAttDyn5(nn.Module): def __init__(self,chn,final): super().__init__() self.channel = chn self.dual_channel = chn*2 self.inter_mid = int(chn/2) self.final_channel = final if self.final_channel == 0: self.final_channel = 2 self.early_conv2d_1 = conv3x3(self.dual_channel, 1, stride=1) self.early_conv2d_3 = conv3x3(self.channel, self.final_channel, stride=1) #self.relu1 = nn.Sigmoid() self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d( self.inter_mid) self.norm2 = nn.BatchNorm2d(self.final_channel) self.avg = nn.AdaptiveAvgPool2d((1, 1)) self.softmax = nn.Softmax(dim=1) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 #x = torch.cat((difference,input_2),1) #x = self.early_conv2d_1(x) #x = torch.sigmoid(x) #x = x.expand_as(input_2) x = difference*input_2 x = self.avg(x) output = self.classifier(torch.flatten(x, 1)) output = self.softmax(output) return output class ChangeDetectorDoubleAttDyn2(nn.Module): def __init__(self,chn,middle,final): super().__init__() self.channel = chn self.dual_channel = chn*2 self.inter_mid = middle self.final_channel = final if self.final_channel == 0: self.final_channel = 2 self.early_conv2d_1 = conv3x3(self.dual_channel, 1, stride=1) self.early_conv2d_3 = conv3x3(self.channel, self.inter_mid, stride=1) self.early_conv2d_4 = conv3x3(self.inter_mid, self.final_channel, stride=1) self.max_pooling = torch.nn.MaxPool2d(3,stride=3) self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d( self.inter_mid) self.norm2 = nn.BatchNorm2d(self.final_channel) self.avg = nn.AdaptiveAvgPool2d((1, 1)) self.softmax = nn.Softmax(dim=1) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 x = torch.cat((difference,input_2),1) x = self.early_conv2d_1(x) x = torch.sigmoid(x) x = x.expand_as(input_2) x = x*input_2 x = self.early_conv2d_3(x) x = self.norm1(x) x = self.relu2(x) x = self.max_pooling(x) x = self.early_conv2d_4(x) x = self.norm2(x) x = self.relu2(x) x = self.avg(x)#torch.sum(x,(2,3)) output = self.classifier(torch.flatten(x, 1)) output = self.softmax(output) return output class ChangeDetectorDoubleAttDyn_orig(nn.Module): def __init__(self,chn): super().__init__() self.channel = chn self.dual_channel = chn*2 self.final_channel = int(chn/2) self.early_conv2d_1 = conv3x3(self.dual_channel, self.channel, stride=1) self.early_conv2d_3 = conv3x3(self.channel, self.final_channel, stride=1) self.relu1 = nn.ReLU(inplace=True) self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d(self.channel) self.norm2 = nn.BatchNorm2d(self.final_channel) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 x = torch.cat((difference,input_2),1) x = self.early_conv2d_1(x) x = self.norm1(x) x = self.relu1(x) x = x*input_2 x = self.early_conv2d_3(x) x = self.norm2(x) x = self.relu2(x) x = torch.sum(x,(2,3)) output = self.classifier(torch.flatten(x, 1)) return output class ChangeDetectorDoubleAttDyn3(nn.Module): def __init__(self,chn,final): super().__init__() self.channel = chn self.dual_channel = chn*2 self.inter_mid = int(chn/2) self.final_channel = final if self.final_channel == 0: self.final_channel = 2 self.early_conv2d_1 = conv1x1(self.dual_channel, 1, stride=1) self.early_conv2d_2 = conv1x1(self.inter_mid, 1, stride=1) #self.early_conv2d_1 = conv3x3(self.dual_channel, 1, stride=1) self.early_conv2d_3 = conv1x1(self.channel, self.final_channel, stride=1) #self.relu1 = nn.Sigmoid() self.relu2 = nn.ReLU(inplace=True) self.classifier = nn.Linear(self.final_channel, 2) self.norm1 = nn.BatchNorm2d( self.inter_mid) self.norm2 = nn.BatchNorm2d(self.final_channel) self.avg = nn.AdaptiveAvgPool2d((1, 1)) self.softmax = nn.Softmax(dim=1) def forward(self, input_1, input_2): #difference of feature maps difference = input_2 - input_1 x = torch.cat((difference,input_2),1) x = self.early_conv2d_1(x) x = torch.sigmoid(x) x = x.expand_as(input_2) x = x*input_2 x = self.early_conv2d_3(x) x = self.norm2(x) x = self.relu2(x) x = self.avg(x) output = self.classifier(torch.flatten(x, 1)) output = self.softmax(output) return output

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null

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7

85580b304291682355a880ab640a59924826670c

108

py

Python

dezirteer/__init__.py

bolid2018/dezirteer

16affedf8c895d28310d7352f128f875790e2b4e

[ "MIT" ]

3

2021-07-18T19:25:37.000Z

2021-11-26T06:44:48.000Z

dezirteer/__init__.py

bolid2018/dezirteer

16affedf8c895d28310d7352f128f875790e2b4e

[ "MIT" ]

1

2018-09-04T09:58:36.000Z

dezirteer/__init__.py

bolid2018/dezirteer

16affedf8c895d28310d7352f128f875790e2b4e

[ "MIT" ]

3

2018-08-27T05:55:34.000Z

2021-07-20T07:22:45.000Z

from main_gui.py import * from math_module.py import * from gui_support.py import * from const.py import *

18

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0.473684

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0

1

0

1

0

7

857b6d6e95c6cffa793ea4fe2c09b71420308afe

1,349

py

Python

test/test.py

ai-snow/qrandom

6fddef6fa0b51e6756a6c63017c7e1850e05d866

[ "MIT" ]

null

test/test.py

ai-snow/qrandom

6fddef6fa0b51e6756a6c63017c7e1850e05d866

[ "MIT" ]

null

test/test.py

ai-snow/qrandom

6fddef6fa0b51e6756a6c63017c7e1850e05d866

[ "MIT" ]

null

import os from random import Random from qrandom import QRandom def test_order_preserved(): q = QRandom(Random(), 1) q_first_1_1 = q.q_first q_first_1_2 = q.q_first q.reset() q_first_2_1 = q.q_first q_second_2_1 = q.q_second q_first_2_2 = q.q_first assert q_first_1_1 == q_first_2_1 assert q_first_1_2 == q_first_2_2 assert q_second_2_1 != q_first_1_1 assert q_second_2_1 != q_first_1_2 def test_order_preserved_q_function(): q = QRandom(Random(), 1) q_first_1_1 = q.q('first') q_first_1_2 = q.q('first') q.reset() q_first_2_1 = q.q('first') q_second_2_1 = q.q('second') q_first_2_2 = q.q('first') assert q_first_1_1 == q_first_2_1 assert q_first_1_2 == q_first_2_2 assert q_second_2_1 != q_first_1_1 assert q_second_2_1 != q_first_1_2 def test_order_preserved_from_file(): q = QRandom(Random(), 1) q_first_1_1 = q.q_first q_first_1_2 = q.q_first filename = './test_order_preserved_from_file.q' q.save(filename) q = QRandom.restore(filename, Random()) q_first_2_1 = q.q_first q_second_2_1 = q.q_second q_first_2_2 = q.q_first assert q_first_1_1 == q_first_2_1 assert q_first_1_2 == q_first_2_2 assert q_second_2_1 != q_first_1_1 assert q_second_2_1 != q_first_1_2 os.remove(filename)

21.078125

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0

null

1

0

1

0

null

0

7

a46025b0315b2f7841ee6d746a9d719133b5dcb4

11,381

py

Python

public/python/nokia/Nokia.py

ErnestoMuniz/neom-backend

80d03cf252a5048d9b743d93e8a6d8dc22136c0f

[ "MIT" ]

null

public/python/nokia/Nokia.py

ErnestoMuniz/neom-backend

80d03cf252a5048d9b743d93e8a6d8dc22136c0f

[ "MIT" ]

null

public/python/nokia/Nokia.py

ErnestoMuniz/neom-backend

80d03cf252a5048d9b743d93e8a6d8dc22136c0f

[ "MIT" ]

null

import telnetlib class Nokia(): def __init__(self, host, port, user, password): self.host = host self.user = user self.password = password self.port = port ## -- CLI -- def Add_ONT_Router_and_PPPoE_CLI(self, slot, pon, ontid, descricao01, descricao02, serial_com, vlan, usuario, senha): tn = telnetlib.Telnet(host=self.host, port=self.port) ## -- login -- tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") # PASSO I tn.write(f"configure equipment ont interface 1/1/{slot}/{pon}/{ontid} desc1 \"{descricao01}\" desc2 \"{descricao02}\" sernum {serial_com}: sw-ver-pland auto sw-dnload-version auto pland-cfgfile1 auto dnload-cfgfile1 auto\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure equipment ont interface 1/1/{slot}/{pon}/{ontid} admin-state up\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure equipment ont slot 1/1/{slot}/{pon}/{ontid}/14 planned-card-type veip plndnumdataports 1 plndnumvoiceports 0 admin-state up\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure qos interface 1/1/{slot}/{pon}/{ontid}/14/1 upstream-queue 0 bandwidth-profile name:HSI_1G_UP\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure interface port uni:1/1/{slot}/{pon}/{ontid}/14/1 admin-up\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure bridge port 1/1/{slot}/{pon}/{ontid}/14/1 max-unicast-mac 32 max-committed-mac 1\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure bridge port 1/1/{slot}/{pon}/{ontid}/14/1 vlan-id {vlan} tag single-tagged\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) # PASSO II tn.write(f"ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-1::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice..1.X_CT-COM_WANGponLinkConfig.VLANIDMark,PARAMVALUE={vlan};\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-2::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice.1.WANPPPConnection.1.Username,PARAMVALUE={usuario};\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-3::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice.1.WANPPPConnection.1.Password,PARAMVALUE={senha};\n".encode('ascii')) tn.read_until(b"$") def Add_ONT_Bridge_CLI(self, slot, pon, ontid, descricao01, descricao02, serial_com, vlan): tn = telnetlib.Telnet(host=self.host, port=self.port) ## -- login -- tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.read_until(b"#") tn.write(f"environment inhibit-alarms\n".encode('ascii')) print(tn.read_until(b"#").decode('ascii')) tn.write(f"configure equipment ont interface 1/1/{slot}/{pon}/{ontid} sw-ver-pland disabled desc1 \"{descricao01}\" desc2 \"{descricao02}\" sernum {serial_com} sw-dnload-version disabled pland-cfgfile1 disabled dnload-cfgfile1 disabled\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure equipment ont interface 1/1/{slot}/{pon}/{ontid} admin-state up\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure equipment ont slot 1/1/{slot}/{pon}/{ontid}/1 planned-card-type ethernet plndnumdataports 1 plndnumvoiceports 0 admin-state up\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure ethernet ont 1/1/{slot}/{pon}/{ontid}/1/1 admin-state up\n".encode('ascii')) print(tn.read_until(b"#").decode('ascii')) tn.write(f"configure interface port uni:1/1/{slot}/{pon}/{ontid}/1/1 admin-up\n".encode('ascii')) print(tn.read_until(b"#").decode('ascii')) tn.write(f"configure qos interface 1/1/{slot}/{pon}/{ontid}/1/1 upstream-queue 0 bandwidth-profile name:HSI_1G_UP\n".encode('ascii')) print(tn.read_until(b"#").decode('ascii')) tn.write(f"configure bridge port 1/1/{slot}/{pon}/{ontid}/1/1 max-unicast-mac 32 max-committed-mac 1\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure bridge port 1/1/{slot}/{pon}/{ontid}/1/1 vlan-id {vlan} tag untagged\n".encode('ascii')) print(tn.read_until(b"$").decode('ascii')) tn.write(f"configure bridge port 1/1/{slot}/{pon}/{ontid}/1/1 pvid {vlan}\n".encode('ascii')) print(tn.read_until(b"#").decode('ascii')) def Remove_ONT_CLI(self, slot, pon, ontid): tn = telnetlib.Telnet(host=self.host, port=self.port) ## -- login -- tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.write(f"configure equipment ont interface 1/1/{slot}/{pon}/{ontid} admin-state down\n".encode('ascii')) tn.read_until(b"$") tn.write(f"configure equipment ont no interface 1/1/{slot}/{pon}/{ontid}\n".encode('ascii')) tn.read_until(b"$") def Reboot_ONT_CLI(self, slot, pon, ontid): tn = telnetlib.Telnet(host=self.host, port=self.port) ## -- login -- tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.write(f"admin equipment ont interface 1/1/{slot}/{pon}/{ontid} reboot with-active-image\n".encode('ascii')) tn.read_until(b"$") #-- TL1 -- def Add_ONT_Router_TL1(self, slot, pon, ontid, descricao01, descricao02, serial_com, vlan, usuario, senha): ## -- login -- tn = telnetlib.Telnet(host=self.host, port=self.port) serial_com = serial_com.replace(':', '') tn.read_until(b"<") tn.write(f"\r".encode('ascii')) tn.read_until(b":") tn.write(f"T\r".encode('ascii')) tn.read_until(b": ") tn.write(b"SUPERUSER\r") tn.read_until(b": ") tn.write(b"ANS#150\r") tn.read_until(b"<") tn.write(f'ENT-ONT::ONT-1-1-{slot}-{pon}-{ontid}::::DESC1="{descricao01}",DESC2="{descricao02}",SERNUM={serial_com},SWVERPLND=AUTO,OPTICSHIST=ENABLE,PLNDCFGFILE1=AUTO,DLCFGFILE1=AUTO,VOIPALLOWED=VEIP;ED-ONT::ONT-1-1-{slot}-{pon}-{ontid}:::::IS;\r'.encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"ENT-ONTCARD::ONTCARD-1-1-{slot}-{pon}-{ontid}-14:::VEIP,1,0::IS;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"ENT-LOGPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-14-1:::;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"ED-ONTVEIP::ONTVEIP-1-1-{slot}-{pon}-{ontid}-14-1:::::IS;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"SET-QOS-USQUEUE::ONTL2UNIQ-1-1-{slot}-{pon}-{ontid}-14-1-0::::USBWPROFNAME=HSI_1G_UP;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"SET-VLANPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-14-1:::MAXNUCMACADR=4,CMITMAXNUMMACADDR=1;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"ENT-VLANEGPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-14-1:::0,{vlan}:PORTTRANSMODE=SINGLETAGGED;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f"ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-1::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice.1.X_CT-COM_WANGponLinkConfig.VLANIDMark,PARAMVALUE=VLAN;\r".encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f'ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-2::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice.1.WANPPPConnection.1.Username,PARAMVALUE={usuario};\r'.encode('ascii')) print(tn.read_until(b") :").decode('ascii')) tn.write(f'ENT-HGUTR069-SPARAM::HGUTR069SPARAM-1-1-{slot}-{pon}-{ontid}-3::::PARAMNAME=InternetGatewayDevice.WANDevice.1.WANConnectionDevice.1.WANPPPConnection.1.Password,PARAMVALUE={senha};\r'.encode('ascii')) print(tn.read_until(b") :").decode('ascii')) def Add_ONT_Bridge_TL1(self, slot, pon, ontid, descricao01, descricao02, vlan): ## -- login -- tn = telnetlib.Telnet(host=self.host, port=self.port) tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.write(f'ENT-ONT::ONT-1-1-{slot}-{pon}-{ontid}::::DESC1="{descricao01}",DESC2="{descricao02}",SERNUM=ALCLB3EA97D1,SWVERPLND=DISABLED,;\n'.encode('ascii')) tn.read_until(b"$") tn.write(f"ED-ONT::ONT-1-1-{slot}-{pon}-{ontid}:::::IS;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ENT-ONTCARD::ONTCARD-1-1-{slot}-{pon}-{ontid}-1:::10_100BASET,1,0::IS;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ENT-LOGPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-1-1:::;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ED-ONTVEIP::ONTVEIP-1-1-{slot}-{pon}-{ontid}-1-1:::::IS;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"SET-QOS-USQUEUE::ONTL2UNIQ-1-1-{slot}-{pon}-{ontid}-1-1-0::::USBWPROFNAME=HSI_1G_UP;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"SET-VLANPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-1-1:::MAXNUCMACADR=32,CMITMAXNUMMACADDR=1;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"ENT-VLANEGPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-1-1:::0,{vlan}:PORTTRANSMODE=UNTAGGED;\n".encode('ascii')) tn.read_until(b"$") tn.write(f"SET-VLANPORT::ONTL2UNI-1-1-{slot}-{pon}-{ontid}-1-1:::DEFAULTCVLAN={vlan};\n".encode('ascii')) tn.read_until(b"$") def Remove_ONT_TL1(self, slot, pon, ontid): ## -- login -- tn = telnetlib.Telnet(host=self.host, port=self.port) tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.write(f'ED-ONT::ONT-1-1-{slot}-{pon}-{ontid}:::::OOS;\n'.encode('ascii')) tn.read_until(b"$") tn.write(f'DLT-ONT::ONT-1-1-{slot}-{pon}-{ontid}::;\n'.encode('ascii')) tn.read_until(b"$") def Reboot_ONT_TL1(self, slot, pon, ontid): ## -- login -- tn = telnetlib.Telnet(host=self.host, port=self.port) tn.read_until(b"login: ") tn.write(self.user.encode('ascii') + b"\n") tn.read_until(b"password: ") tn.write(self.password.encode('ascii') + b"\n") tn.write(f'INIT-SYS::ONT--1-1-{slot}-{pon}-{ontid}:::4;\n'.encode('ascii')) tn.read_until(b"$")

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1,671

11,381

4.187911

0.092759

0.05573

0.102172

0.11146

0.886539

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0.869391

0.84667

0.817662

0.805516

0

0.031976

0.156401

11,381

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57.190955

0.696907

0.01151

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0.578947

0

0.236842

0.462552

0.280613

0

1

0.059211

false

0.118421

0.006579

0

0.072368

0.177632

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null

0

1

0

1

0

null

0

1

0

8

a49b5475d97c682573f508cd61d8b396e92f1a58

997

py

Python

Expression/phenograph/LBL_phenpograph_secondround.py

shouguog/TLGL

0581cf8f49f12eadafa2e83f31794a38089f2c14

[ "MIT" ]

null

Expression/phenograph/LBL_phenpograph_secondround.py

shouguog/TLGL

0581cf8f49f12eadafa2e83f31794a38089f2c14

[ "MIT" ]

null

Expression/phenograph/LBL_phenpograph_secondround.py

shouguog/TLGL

0581cf8f49f12eadafa2e83f31794a38089f2c14

[ "MIT" ]

null

###This is used to calculate /data/gaos2/phenograph/PhenoGraph-master ### import pandas as pd import numpy as np dataAll=pd.read_csv("locCluster_combat.csv", index_col=0) data=dataAll[["tSNE1_mean","tSNE2_mean"]].as_matrix() import phenograph communities, graph, Q = phenograph.cluster(data, k=5, min_cluster_size=3) file=open('community_combat_secondround.txt','w') for ii in range(len(communities)): file.write(dataAll.index[ii]) file.write("\t") file.write(str(ii)) file.write("\t") file.write(str(communities[ii])) file.write("\n") file.close() dataAll=pd.read_csv("locCluster_limma.csv", index_col=0) data=dataAll[["tSNE1_mean","tSNE2_mean"]].as_matrix() import phenograph communities, graph, Q = phenograph.cluster(data, k=5, min_cluster_size=3) file=open('community_limma_secondround.txt','w') for ii in range(len(communities)): file.write(dataAll.index[ii]) file.write("\t") file.write(str(ii)) file.write("\t") file.write(str(communities[ii])) file.write("\n") file.close()

31.15625

73

0.741224

158

997

4.550633

0.335443

0.150209

0.091794

0.066759

0.848401

0.776078

0

0.011957

0.077232

997

31

74

32.16129

0.769565

0.066199

0

0.785714

0

0.171181

0.091008

0

1

0

false

0

0.142857

0

0.142857

0

null

0

1

0

1

0

null

0

7

f10935d28f4ffcb1d276ebec7864f96739db0b19

149

py

Python

src/ds/stack/__init__.py

MitraThakker/DataStructuresInPython

96bd661821e5aa082caf55f027090f8a2c602158

[ "MIT" ]

2

2019-03-28T07:46:52.000Z

src/ds/stack/__init__.py

MitraThakker/DataStructuresInPython

96bd661821e5aa082caf55f027090f8a2c602158

[ "MIT" ]

null

src/ds/stack/__init__.py

MitraThakker/DataStructuresInPython

96bd661821e5aa082caf55f027090f8a2c602158

[ "MIT" ]

null

from src.ds.stack.stack_abc import Stack from src.ds.stack.bounded_stack import BoundedStack from src.ds.stack.unbounded_stack import UnboundedStack

37.25

55

0.85906

24

149

5.208333

0.416667

0.168

0.216

0.336

0

0.080537

149

3

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49.666667

0.912409

0

1

0

true

0

1

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null

0

1

0

1

0

1

0

7

f10e71110ca87b220b461d388c253a6756af7bc4

2,814

py

Python

backend/project/posts/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/posts/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

backend/project/posts/migrations/0002_auto_20201103_0214.py

winoutt/winoutt-django

f48dfd933b3c12286f973701676eb2c2ab2bff73

[ "MIT" ]

null

# Generated by Django 3.1.2 on 2020-11-02 21:14 import django.core.files.storage from django.db import migrations, models import django_resized.forms class Migration(migrations.Migration): dependencies = [ ('posts', '0001_initial'), ] operations = [ migrations.AlterField( model_name='postalbum', name='filename', field=models.FileField(blank=True, null=True, storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_files/'), upload_to=''), ), migrations.AlterField( model_name='postalbum', name='photo', field=django_resized.forms.ResizedImageField(blank=True, crop=None, force_format=None, keep_meta=True, null=True, quality=75, size=[200, 200], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_images/'), upload_to=''), ), migrations.AlterField( model_name='postalbum', name='photo_original', field=django_resized.forms.ResizedImageField(blank=True, crop=None, force_format=None, keep_meta=True, null=True, quality=75, size=[1920, 1080], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_images/'), upload_to=''), ), migrations.AlterField( model_name='postcontent', name='cover', field=django_resized.forms.ResizedImageField(blank=True, crop=None, force_format=None, keep_meta=True, null=True, quality=75, size=[200, 200], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_covers/'), upload_to=''), ), migrations.AlterField( model_name='postcontent', name='cover_original', field=django_resized.forms.ResizedImageField(blank=True, crop=None, force_format=None, keep_meta=True, null=True, quality=75, size=[1920, 1080], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_covers/'), upload_to=''), ), migrations.AlterField( model_name='postcontent', name='photo_original', field=django_resized.forms.ResizedImageField(blank=True, crop=None, force_format=None, keep_meta=True, null=True, quality=75, size=[1920, 1080], storage=django.core.files.storage.FileSystemStorage(location='E:\\Projects\\winoutt-django/winoutt-django/posts/static/posts/post_attached_images/'), upload_to=''), ), ]

61.173913

322

0.686923

324

2,814

5.830247

0.209877

0.082583

0.055585

0.081525

0.872419

0.850185

0.80307

0

0.028005

0.175195

2,814

45

323

62.533333

0.785868

0.015991

0

0.564103

1

0

0.235121

0.184791

0

1

0

false

0

0.076923

0

0.153846

0

null

0

1

0

1

0

null

0

7

f120464a564a6e629c2442cf3932086fe2233faf

100,166

py

Python

tests/EVM/test_EVMSUB.py

mroll/manticore

d731562f7761ed9437cce406b24c815303de370c

[ "Apache-2.0" ]

null

tests/EVM/test_EVMSUB.py

mroll/manticore

d731562f7761ed9437cce406b24c815303de370c

[ "Apache-2.0" ]

null

tests/EVM/test_EVMSUB.py

mroll/manticore

d731562f7761ed9437cce406b24c815303de370c

[ "Apache-2.0" ]

null

import struct import unittest import json from manticore.platforms import evm from manticore.core import state from manticore.core.smtlib import Operators, ConstraintSet import os class EVMTest_SUB(unittest.TestCase): _multiprocess_can_split_ = True maxDiff=None def _execute(self, new_vm): last_returned = None last_exception = None try: new_vm.execute() except evm.Stop, e: last_exception = "STOP" except evm.NotEnoughGas: last_exception = "OOG" except evm.StackUnderflow: last_exception = "INSUFICIENT STACK" except evm.InvalidOpcode: last_exception = "INVALID" except evm.SelfDestruct: last_exception = "SUICIDED" except evm.Return as e: last_exception = "RETURN" last_returned = e.data except evm.Revert: last_exception = "REVERT" return last_exception, last_returned def test_SUB_1(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_2(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1L]) def test_SUB_3(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [2L]) def test_SUB_4(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819953L]) def test_SUB_5(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301264L]) def test_SUB_6(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [17L]) def test_SUB_7(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [33L]) def test_SUB_8(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [49L]) def test_SUB_9(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718913L]) def test_SUB_10(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SUB_11(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_12(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [1L]) def test_SUB_13(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819952L]) def test_SUB_14(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301263L]) def test_SUB_15(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16L]) def test_SUB_16(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32L]) def test_SUB_17(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [48L]) def test_SUB_18(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(0) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718912L]) def test_SUB_19(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639934L]) def test_SUB_20(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639935L]) def test_SUB_21(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_22(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819951L]) def test_SUB_23(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301262L]) def test_SUB_24(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [15L]) def test_SUB_25(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [31L]) def test_SUB_26(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [47L]) def test_SUB_27(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(1) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718911L]) def test_SUB_28(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819983L]) def test_SUB_29(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819984L]) def test_SUB_30(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819985L]) def test_SUB_31(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_32(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [61514547407324228818772085785865451047049679353621549645961841504203850121247L]) def test_SUB_33(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820000L]) def test_SUB_34(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820016L]) def test_SUB_35(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564820032L]) def test_SUB_36(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504350043516790537761646130706531776516538464538896L]) def test_SUB_37(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338672L]) def test_SUB_38(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338673L]) def test_SUB_39(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338674L]) def test_SUB_40(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [54277541829991966604798899222822456806220305312019014393495742503709279518689L]) def test_SUB_41(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_42(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338689L]) def test_SUB_43(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338705L]) def test_SUB_44(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727166410732855297644839296413224534507665844338721L]) def test_SUB_45(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [112173586448650064316584391727172500323010843073665145100027519020247744057585L]) def test_SUB_46(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639919L]) def test_SUB_47(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SUB_48(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639921L]) def test_SUB_49(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819936L]) def test_SUB_50(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301247L]) def test_SUB_51(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_52(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16L]) def test_SUB_53(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [32L]) def test_SUB_54(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(16) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718896L]) def test_SUB_55(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639903L]) def test_SUB_56(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639904L]) def test_SUB_57(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639905L]) def test_SUB_58(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819920L]) def test_SUB_59(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301231L]) def test_SUB_60(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SUB_61(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_62(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [16L]) def test_SUB_63(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(32) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718880L]) def test_SUB_64(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639887L]) def test_SUB_65(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639888L]) def test_SUB_66(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639889L]) def test_SUB_67(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504343953926634992332820282019728792003956564819904L]) def test_SUB_68(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281521497120414687020801267626233049500247285301215L]) def test_SUB_69(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639904L]) def test_SUB_70(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008687907853269984665640564039457584007913129639920L]) def test_SUB_71(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) def test_SUB_72(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(48) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [6089590155545428825848686802984512581899718864L]) def test_SUB_73(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(115792089237316195423570985008687907853269984665640564039457584007913129639935L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921023L]) def test_SUB_74(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(0) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921024L]) def test_SUB_75(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(1) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921025L]) def test_SUB_76(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(57896044618658097711785492504343953926634992332820282019728792003956564819952L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [57896044618658097711785492504337864336479446903994433332925807491374665101040L]) def test_SUB_77(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(3618502788666131106986593281521497120414687020801267626233049500247285301263L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [3618502788666131106986593281515407530259141591975418939430064987665385582351L]) def test_SUB_78(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(16) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921040L]) def test_SUB_79(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(32) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921056L]) def test_SUB_80(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(48) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [115792089237316195423570985008681818263114439236814715352654599495331229921072L]) def test_SUB_81(self): #Make the constraint store constraints = ConstraintSet() #make the ethereum world state world = evm.EVMWorld(constraints) address=0x222222222222222222222222222222222222200 caller=origin=0x111111111111111111111111111111111111100 price=0 value=10000 bytecode='\x03' data = 'AAAAAAAAAAAAAAAAAAAAAAAAAAAAAA' header = { 'coinbase': 0, 'timestamp': 0, 'number': 0, 'difficulty': 0, 'gaslimit': 0, } gas = 1000000 new_vm = evm.EVM(constraints, address, origin, price, data, caller, value, bytecode, header, gas=gas, global_storage=world.storage) new_vm._push(6089590155545428825848686802984512581899718912L) new_vm._push(6089590155545428825848686802984512581899718912L) last_exception, last_returned = self._execute(new_vm) self.assertEqual(last_exception, None) self.assertEqual(new_vm.pc, 1) self.assertEqual(new_vm.stack, [0L]) if __name__ == '__main__': unittest.main()

43.418292

143

0.580496

8,049

100,166

7.069574

0.028823

0.04288

0.025623

0.056939

0.909917

0

0.269911

0.344428

100,166

2,306

144

43.437121

0.596641

0.043668

0

0.866561

0

0.064144

0.025411

0

0.069456

0

0.128165

0

null

0

0.003692

null

0

null

0

1

0

1

0

1

0

null

0

1

0

9

f14b87b17c128bec3589225e0632b950a3f8eb48

361

py

Python

tests/internal/instance_type/test_instance_type_d3en_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_d3en_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

tests/internal/instance_type/test_instance_type_d3en_auto.py

frolovv/aws.ec2.compare

582805823492f833d65c0441c4a14dce697c12aa

[ "Apache-2.0" ]

null

# Testing module instance_type.d3en import pytest import ec2_compare.internal.instance_type.d3en def test_get_internal_data_instance_type_d3en_get_instances_list(): assert len(ec2_compare.internal.instance_type.d3en.get_instances_list()) > 0 def test_get_internal_data_instance_type_d3en_get(): assert len(ec2_compare.internal.instance_type.d3en.get) > 0

36.1

78

0.853186

56

361

5.053571

0.339286

0.254417

0.339223

0.268551

0.826855

0.614841

0

0.032836

0.072022

361

9

79

40.111111

0.81194

0.091413

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

null

1

0

1

0

null

0

1

0

1

0

1

0

10

2d136a54b47a9caf115bbca78c2fc9c18690908d

300

py

Python

catkin_ws/devel/lib/python3/dist-packages/fundamentals/msg/__init__.py

a-yildiz/ROS-Simple-Sample-Packages

eb6b18adcd1fe26e2b5e644c42922e8102867cd9

[ "MIT" ]

1

2021-09-19T07:51:23.000Z

catkin_ws/install/lib/python3/dist-packages/fundamentals/msg/__init__.py

a-yildiz/ROS-Simple-Sample-Packages

eb6b18adcd1fe26e2b5e644c42922e8102867cd9

[ "MIT" ]

null

catkin_ws/install/lib/python3/dist-packages/fundamentals/msg/__init__.py

a-yildiz/ROS-Simple-Sample-Packages

eb6b18adcd1fe26e2b5e644c42922e8102867cd9

[ "MIT" ]

null

from ._BatteryStatus import * from ._MissionStatusAction import * from ._MissionStatusActionFeedback import * from ._MissionStatusActionGoal import * from ._MissionStatusActionResult import * from ._MissionStatusFeedback import * from ._MissionStatusGoal import * from ._MissionStatusResult import *

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2d1887517425fac67e17ad06e5afda41c31af892

1,713

py

Python

TrojanCompiler.py

JoshOrndorff/TrustingTrust

08ee0605b57a8f6f2ac6f2e8b1d6723abc94630c

[ "Unlicense" ]

2

2019-01-03T23:56:34.000Z

2021-09-30T17:53:33.000Z

TrojanCompiler.py

JoshOrndorff/TrustingTrust

08ee0605b57a8f6f2ac6f2e8b1d6723abc94630c

[ "Unlicense" ]

null

TrojanCompiler.py

JoshOrndorff/TrustingTrust

08ee0605b57a8f6f2ac6f2e8b1d6723abc94630c

[ "Unlicense" ]

null

trojanLogin = """ userPass = input("What is the password? ") if userPass == "123": print("You may enter") elif userPass == "NSA": # The bogus backdoor print("You may enter") else: print("Go away") """ trojanCompiler = """ from sys import argv def get_trojan_compiler(): tripQuotes = chr(34) + chr(34) + chr(34) tC = 'trojanLogin = ' + tripQuotes tC += trojanLogin tC += tripQuotes + chr(10) + chr(10) tC += 'trojanCompiler = ' + tripQuotes tC += trojanCompiler tC += tripQuotes + chr(10) tC += trojanCompiler return tC with open("HonestCompiler.py", "r") as f: honestCompiler = f.read() with open("HonestLogin.py", "r") as f: honestLogin = f.read() with open(argv[1], "r") as f: inProgram = f.read() if inProgram == honestCompiler: outProgram = get_trojan_compiler() elif inProgram == honestLogin: outProgram = trojanLogin else: # Normal case outProgram = inProgram print(outProgram) """ from sys import argv def get_trojan_compiler(): tripQuotes = chr(34) + chr(34) + chr(34) tC = 'trojanLogin = ' + tripQuotes tC += trojanLogin tC += tripQuotes + chr(10) + chr(10) tC += 'trojanCompiler = ' + tripQuotes tC += trojanCompiler tC += tripQuotes + chr(10) tC += trojanCompiler return tC with open("HonestCompiler.py", "r") as f: honestCompiler = f.read() with open("HonestLogin.py", "r") as f: honestLogin = f.read() with open(argv[1], "r") as f: inProgram = f.read() if inProgram == honestCompiler: outProgram = get_trojan_compiler() elif inProgram == honestLogin: outProgram = trojanLogin else: # Normal case outProgram = inProgram print(outProgram)

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7797a24bd6f7c9ea4dcaa88aa472f823c80ed448

88,927

py

Python

Contents/Libraries/Shared/subliminal_patch/providers/utils.py

jippo015/Sub-Zero.bundle

734e0f7128c05c0f639e11e7dfc77daa1014064b

[ "MIT" ]

1,553

2015-11-09T02:17:06.000Z

2022-03-31T20:24:52.000Z

Contents/Libraries/Shared/subliminal_patch/providers/utils.py

saiterlz/Sub-Zero.bundle

1a0bb9c3e4be84be35d46672907783363fe5a87b

[ "MIT" ]

691

2015-11-05T21:32:26.000Z

2022-03-17T10:52:45.000Z

Contents/Libraries/Shared/subliminal_patch/providers/utils.py

saiterlz/Sub-Zero.bundle

1a0bb9c3e4be84be35d46672907783363fe5a87b

[ "MIT" ]

162

2015-11-06T19:38:55.000Z

2022-03-16T02:42:41.000Z

FIRST_THOUSAND_OR_SO_USER_AGENTS = [ "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36", "Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36", "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:56.0) Gecko/20100101 Firefox/56.0", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Safari/604.1.38", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Safari/604.1.38", "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:56.0) Gecko/20100101 Firefox/56.0", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36", "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:56.0) Gecko/20100101 Firefox/56.0", "Mozilla/5.0 (Windows NT 6.3; 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77f4b91f06ec12a16b2e105e40719aff71b34165

5,349

py

Python

tests/complementary_backward_model.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

11

2021-11-03T12:09:50.000Z

2022-02-20T21:42:13.000Z

tests/complementary_backward_model.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

1

2022-02-18T13:40:46.000Z

tests/complementary_backward_model.py

airbus/decomon

f3668fbd8edd0def4e23aa0634eebfec58349c35

[ "MIT" ]

null

from __future__ import absolute_import import pytest from decomon.models.decomon_sequential import clone, clone_sequential_model, convert, get_backward import numpy as np from numpy.testing import assert_almost_equal from tensorflow.keras.layers import Dense from tensorflow.keras.models import Sequential from . import ( get_tensor_decomposition_1d_box, get_standart_values_1d_box, assert_output_properties_box_linear, get_standard_values_multid_box, get_tensor_decomposition_multid_box, get_standard_values_multid_box_convert, ) import tensorflow.python.keras.backend as K @pytest.mark.parametrize("odd, n_subgrad", [(0, 0), (1, 0), (0, 1), (1, 1), (0, 5), (1, 5)]) def test_clone_backward_sequential_model_multid_box(odd, n_subgrad): inputs = get_tensor_decomposition_multid_box(odd, dc_decomp=False) inputs_ = get_standard_values_multid_box(odd, dc_decomp=False) x, y, z, u_c, W_u, b_u, l_c, W_l, b_l = inputs_ input_dim = x.shape[-1] # build a simple sequential model from keras # start with 1D sequential = Sequential() sequential.add(Dense(1, activation="relu", input_dim=y.shape[-1])) sequential.add(Dense(1, activation="linear")) monotonic_model = clone_sequential_model(sequential, input_dim=input_dim, dc_decomp=False) backward_model = get_backward(monotonic_model) output_ref = sequential(inputs[1]) f_ref = K.function(inputs, output_ref) output = backward_model(inputs[1:]) f_clone = K.function(inputs[1:], output) y_, z_, u_c_, w_u_f, b_u_f, l_c_, w_l_f, b_l_f, w_u_b, b_u_b, w_l_b, b_l_b = f_clone(inputs_[1:]) y_ref = f_ref(inputs_) assert_almost_equal(y_, y_ref, decimal=6, err_msg="reconstruction error") assert_output_properties_box_linear( x, y_, z_[:, 0], z_[:, 1], u_c_, w_u_f, b_u_f, l_c_, w_l_f, b_l_f, "clone_sequential_{}".format(odd), decimal=5, ) w_u_ = np.sum(np.maximum(w_u_b, 0) * np.expand_dims(W_u, -1), 2) + np.sum( np.minimum(w_u_b, 0) * np.expand_dims(W_l, -1), 2 ) b_u_ = ( np.sum(np.maximum(w_u_b, 0) * np.expand_dims(np.expand_dims(b_u, -1), -1), (1, 2)) + np.sum(np.minimum(w_u_b, 0) * np.expand_dims(np.expand_dims(b_l, -1), -1), (1, 2)) + b_u_b[:, 0] ) w_l_ = np.sum(np.maximum(w_l_b, 0) * np.expand_dims(W_l, -1), 2) + np.sum( np.minimum(w_l_b, 0) * np.expand_dims(W_u, -1), 2 ) b_l_ = ( np.sum(np.maximum(w_l_b, 0) * np.expand_dims(np.expand_dims(b_l, -1), -1), (1, 2)) + np.sum(np.minimum(w_l_b, 0) * np.expand_dims(np.expand_dims(b_u, -1), -1), (1, 2)) + b_l_b[:, 0] ) assert_output_properties_box_linear( x, y_, z_[:, 0], z_[:, 1], u_c_, w_u_, b_u_, l_c_, w_l_, b_l_, "clone_sequential_{}".format(odd), decimal=5, ) # BACKWARD mode integrated in the conversion @pytest.mark.parametrize("odd, n_subgrad", [(0, 0), (1, 0), (0, 1), (1, 1), (0, 5), (1, 5)]) def test_clone_backward_sequential_model_multid_box_mode(odd, n_subgrad): inputs = get_tensor_decomposition_multid_box(odd, dc_decomp=False) inputs_ = get_standard_values_multid_box(odd, dc_decomp=False) x, y, z, u_c, W_u, b_u, l_c, W_l, b_l = inputs_ input_dim = x.shape[-1] # build a simple sequential model from keras # start with 1D sequential = Sequential() sequential.add(Dense(1, activation="relu", input_dim=y.shape[-1])) sequential.add(Dense(1, activation="linear")) backward_model = clone(sequential, input_dim=input_dim, dc_decomp=False, mode="backward") output_ref = sequential(inputs[1]) f_ref = K.function(inputs, output_ref) output = backward_model(inputs[1:]) f_clone = K.function(inputs[1:], output) y_, z_, u_c_, w_u_f, b_u_f, l_c_, w_l_f, b_l_f, w_u_b, b_u_b, w_l_b, b_l_b = f_clone(inputs_[1:]) y_ref = f_ref(inputs_) assert_almost_equal(y_, y_ref, decimal=6, err_msg="reconstruction error") assert_output_properties_box_linear( x, y_, z_[:, 0], z_[:, 1], u_c_, w_u_f, b_u_f, l_c_, w_l_f, b_l_f, "clone_sequential_{}".format(odd), decimal=5, ) w_u_ = np.sum(np.maximum(w_u_b, 0) * np.expand_dims(W_u, -1), 2) + np.sum( np.minimum(w_u_b, 0) * np.expand_dims(W_l, -1), 2 ) b_u_ = ( np.sum(np.maximum(w_u_b, 0) * np.expand_dims(np.expand_dims(b_u, -1), -1), (1, 2)) + np.sum(np.minimum(w_u_b, 0) * np.expand_dims(np.expand_dims(b_l, -1), -1), (1, 2)) + b_u_b[:, 0] ) w_l_ = np.sum(np.maximum(w_l_b, 0) * np.expand_dims(W_l, -1), 2) + np.sum( np.minimum(w_l_b, 0) * np.expand_dims(W_u, -1), 2 ) b_l_ = ( np.sum(np.maximum(w_l_b, 0) * np.expand_dims(np.expand_dims(b_l, -1), -1), (1, 2)) + np.sum(np.minimum(w_l_b, 0) * np.expand_dims(np.expand_dims(b_u, -1), -1), (1, 2)) + b_l_b[:, 0] ) assert_output_properties_box_linear( x, y_, z_[:, 0], z_[:, 1], u_c_, w_u_, b_u_, l_c_, w_l_, b_l_, "clone_sequential_{}".format(odd), decimal=5, )

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7adbc4987b464db216012df8476208cbda25c9b8

34,061

py

Python

VOTR/pcdet/ops/pointnet2/pointnet2_stack/pointnet2_modules.py

YoushaaMurhij/VOTR_Inference

dbf6ddc66f2644c1897a4307e30e2ae781ebacf6

[ "MIT" ]

1

2021-12-30T10:30:28.000Z

VOTR/pcdet/ops/pointnet2/pointnet2_stack/pointnet2_modules.py

YoushaaMurhij/VOTR_Inference

dbf6ddc66f2644c1897a4307e30e2ae781ebacf6

[ "MIT" ]

null

VOTR/pcdet/ops/pointnet2/pointnet2_stack/pointnet2_modules.py

YoushaaMurhij/VOTR_Inference

dbf6ddc66f2644c1897a4307e30e2ae781ebacf6

[ "MIT" ]

1

2021-12-30T10:30:22.000Z

from typing import List import copy import math import torch import torch.nn as nn import torch.nn.functional as F from . import pointnet2_utils class StackSAModuleMSG(nn.Module): def __init__(self, *, radii: List[float], nsamples: List[int], mlps: List[List[int]], use_xyz: bool = True, pool_method='max_pool'): """ Args: radii: list of float, list of radii to group with nsamples: list of int, number of samples in each ball query mlps: list of list of int, spec of the pointnet before the global pooling for each scale use_xyz: pool_method: max_pool / avg_pool """ super().__init__() assert len(radii) == len(nsamples) == len(mlps) self.groupers = nn.ModuleList() self.mlps = nn.ModuleList() for i in range(len(radii)): radius = radii[i] nsample = nsamples[i] self.groupers.append(pointnet2_utils.QueryAndGroup(radius, nsample, use_xyz=use_xyz)) mlp_spec = mlps[i] if use_xyz: mlp_spec[0] += 3 shared_mlps = [] for k in range(len(mlp_spec) - 1): shared_mlps.extend([ nn.Conv2d(mlp_spec[k], mlp_spec[k + 1], kernel_size=1, bias=False), nn.BatchNorm2d(mlp_spec[k + 1]), nn.ReLU() ]) self.mlps.append(nn.Sequential(*shared_mlps)) self.pool_method = pool_method self.init_weights() def init_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) def forward(self, xyz, xyz_batch_cnt, new_xyz, new_xyz_batch_cnt, features=None, empty_voxel_set_zeros=True): """ :param xyz: (N1 + N2 ..., 3) tensor of the xyz coordinates of the features :param xyz_batch_cnt: (batch_size), [N1, N2, ...] :param new_xyz: (M1 + M2 ..., 3) :param new_xyz_batch_cnt: (batch_size), [M1, M2, ...] :param features: (N1 + N2 ..., C) tensor of the descriptors of the the features :return: new_xyz: (M1 + M2 ..., 3) tensor of the new features' xyz new_features: (M1 + M2 ..., \sum_k(mlps[k][-1])) tensor of the new_features descriptors """ new_features_list = [] for k in range(len(self.groupers)): new_features, ball_idxs = self.groupers[k]( xyz, xyz_batch_cnt, new_xyz, new_xyz_batch_cnt, features ) # (M1 + M2, C, nsample) new_features = new_features.permute(1, 0, 2).unsqueeze(dim=0) # (1, C, M1 + M2 ..., nsample) new_features = self.mlps[k](new_features) # (1, C, M1 + M2 ..., nsample) if self.pool_method == 'max_pool': new_features = F.max_pool2d( new_features, kernel_size=[1, new_features.size(3)] ).squeeze(dim=-1) # (1, C, M1 + M2 ...) elif self.pool_method == 'avg_pool': new_features = F.avg_pool2d( new_features, kernel_size=[1, new_features.size(3)] ).squeeze(dim=-1) # (1, C, M1 + M2 ...) else: raise NotImplementedError new_features = new_features.squeeze(dim=0).permute(1, 0) # (M1 + M2 ..., C) new_features_list.append(new_features) new_features = torch.cat(new_features_list, dim=1) # (M1 + M2 ..., C) return new_xyz, new_features class StackSAModulePyramid(nn.Module): def __init__(self, *, mlps: List[List[int]], nsamples, use_xyz: bool = True, pool_method='max_pool'): """ Args: nsamples: list of int, number of samples in each ball query mlps: list of list of int, spec of the pointnet before the global pooling for each scale use_xyz: pool_method: max_pool / avg_pool """ super().__init__() self.num_pyramid_levels = len(nsamples) assert len(nsamples) == len(mlps) self.groupers = nn.ModuleList() self.mlps = nn.ModuleList() for i in range(self.num_pyramid_levels): nsample = nsamples[i] self.groupers.append(pointnet2_utils.QueryAndGroupPyramid(nsample, use_xyz=use_xyz)) mlp_spec = mlps[i] if use_xyz: mlp_spec[0] += 3 shared_mlps = [] for k in range(len(mlp_spec) - 1): shared_mlps.extend([ nn.Conv2d(mlp_spec[k], mlp_spec[k + 1], kernel_size=1, bias=False), nn.BatchNorm2d(mlp_spec[k + 1]), nn.ReLU() ]) self.mlps.append(nn.Sequential(*shared_mlps)) self.pool_method = pool_method self.init_weights() def init_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) def forward(self, xyz, xyz_batch_cnt, new_xyz_list, new_xyz_r_list, new_xyz_batch_cnt_list, features=None, batch_size=None, num_rois=None): """ :param xyz: (N1 + N2 ..., 3) tensor of the xyz coordinates of the features :param xyz_batch_cnt: (batch_size), [N1, N2, ...] :param new_xyz_list: [(B, N x grid_size^3, 3)] :param new_xyz_r_list: [(B, N x grid_size^3, 1)] :param new_xyz_batch_cnt_list: (batch_size) :param features: (N1 + N2 ..., C) tensor of the descriptors of the the features :return: new_xyz: (M1 + M2 ..., 3) tensor of the new features' xyz new_features: (M1 + M2 ..., \sum_k(mlps[k][-1])) tensor of the new_features descriptors """ new_features_list = [] for i in range(self.num_pyramid_levels): new_xyz = new_xyz_list[i] new_xyz_r = new_xyz_r_list[i] new_xyz_batch_cnt = new_xyz_batch_cnt_list[i] new_xyz = new_xyz.view(-1, 3).contiguous() new_xyz_r = new_xyz_r.view(-1, 1).contiguous() new_features, _ = self.groupers[i]( xyz, xyz_batch_cnt, new_xyz, new_xyz_r, new_xyz_batch_cnt, features ) new_features = new_features.permute(1, 0, 2).unsqueeze(dim=0) # (1, C, M1 + M2 ..., nsample) new_features = self.mlps[i](new_features) # (1, C, M1 + M2 ..., nsample) new_features = F.max_pool2d( new_features, kernel_size=[1, new_features.size(3)] ).squeeze(dim=-1) # (1, C, M1 + M2 ...) new_features = new_features.squeeze(dim=0).permute(1, 0) # (M1 + M2 ..., C) num_features = new_features.shape[1] new_features = new_features.view(batch_size * num_rois, -1, num_features) new_features_list.append(new_features) new_features = torch.cat(new_features_list, dim=1) # (B x N, \sum(grid_size^3), C) return new_features class PyramidModuleV2(nn.Module): def __init__(self, input_channels, nsamples, grid_sizes, num_heads, head_dims, attention_op, predict_radii, predict_ns, norm_factors, pre_weights): """ Args: nsamples: list of int, number of samples in each ball query mlps: list of list of int, spec of the pointnet before the global pooling for each scale """ super().__init__() input_channels += 3 self.num_pyramid_levels = len(nsamples) self.pos_dims = 3 self.num_heads = num_heads self.head_dims = head_dims self.output_dims = self.num_heads * self.head_dims self.grid_sizes = grid_sizes self.pre_weights = pre_weights self.predict_groupers = nn.ModuleList() self.predict_modules = nn.ModuleList() self.predict_radii = predict_radii self.predict_ns = predict_ns self.num_predict_levels = len(predict_radii) for i in range(self.num_predict_levels): self.predict_groupers.append(pointnet2_utils.QueryAndGroup(radius=self.predict_radii[i], nsample=self.predict_ns[i])) self.predict_modules.append(nn.Sequential( nn.Conv1d(input_channels, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), nn.Conv1d(self.output_dims, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), )) predict_feat_dims = self.output_dims * self.num_predict_levels self.radius_modules = nn.ModuleList() self.norm_factors = norm_factors self.transformer_encoders = nn.ModuleList() self.cls_weight_module = nn.ModuleList() self.reg_weight_module = nn.ModuleList() self.pos_embeddings = [] self.groupers = nn.ModuleList() self.pos_proj = nn.ModuleList() self.key_proj = nn.ModuleList() self.value_proj = nn.ModuleList() self.attention_proj = nn.ModuleList() self.norm_layer = nn.ModuleList() self.k_coef = nn.ModuleList() self.qk_coef = nn.ModuleList() self.q_coef = nn.ModuleList() self.v_coef = nn.ModuleList() for i in range(self.num_pyramid_levels): nsample = nsamples[i] grid_size = grid_sizes[i] self.radius_modules.append(nn.Sequential( nn.Linear(predict_feat_dims, predict_feat_dims // 4, bias=False), nn.ReLU(), nn.Linear(predict_feat_dims // 4, 1, bias=False), )) self.groupers.append(pointnet2_utils.QueryAndGroupPyramidAttention(nsample)) # vmh 1 self.pos_proj.append(nn.Sequential( nn.Conv1d(self.pos_dims, self.output_dims, 1, groups=1, bias=False), nn.ReLU(), )) self.key_proj.append(nn.Sequential( nn.Conv1d(input_channels, self.output_dims, 1, groups=1, bias=False), nn.ReLU() )) self.value_proj.append(nn.Sequential( nn.Conv1d(input_channels, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), nn.Conv1d(self.output_dims, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), )) self.attention_proj.append(nn.Sequential( nn.Conv1d(self.output_dims, self.num_heads, 1, groups=1, bias=False), )) self.norm_layer.append(nn.Softmax(dim=-1)) self.k_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.q_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.qk_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.v_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) num_out_ch = self.output_dims encoder_layer = TransformerEncoderLayer( d_model=num_out_ch, nhead=4, dim_feedforward=num_out_ch, dropout=0.1, activation="relu", normalize_before=False, ) self.transformer_encoders.append(TransformerEncoder(encoder_layer = encoder_layer, num_layers = 1, norm = None)) self.cls_weight_module.append(nn.Sequential( nn.Linear(num_out_ch, num_out_ch//2), nn.ReLU(), nn.Linear(num_out_ch//2, 1), nn.Sigmoid() )) self.reg_weight_module.append(nn.Sequential( nn.Linear(num_out_ch, num_out_ch //2), nn.ReLU(), nn.Linear(num_out_ch//2, 1), nn.Sigmoid() )) self.pos_embeddings.append( nn.Parameter( torch.zeros((grid_size ** 3, num_out_ch)).cuda() ) ) self.attention_op = attention_op self.init_weights() def init_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) if isinstance(m, nn.Conv1d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm1d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) if isinstance(m, nn.Linear): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) def forward(self, anchor_xyz, anchor_batch_cnt, xyz, xyz_batch_cnt, new_xyz_list, new_xyz_r_list, new_xyz_batch_cnt_list, features=None, batch_size=None, num_rois=None, temperature=None): """ :param xyz: (N1 + N2 ..., 3) tensor of the xyz coordinates of the features :param xyz_batch_cnt: (batch_size), [N1, N2, ...] :param new_xyz_list: [(B, N x grid_size^3, 3)] :param new_xyz_r_list: [(B, N x grid_size^3, 1)] :param new_xyz_batch_cnt_list: (batch_size) :param features: (N1 + N2 ..., C) tensor of the descriptors of the the features :return: new_xyz: (M1 + M2 ..., 3) tensor of the new features' xyz new_features: (M1 + M2 ..., \sum_k(mlps[k][-1])) tensor of the new_features descriptors """ predict_feature_list = [] for i in range(self.num_predict_levels): predict_feature, _ = self.predict_groupers[i]( xyz, xyz_batch_cnt, anchor_xyz, anchor_batch_cnt, features ) predict_feature = self.predict_modules[i](predict_feature) predict_feature = predict_feature.max(dim = 2, keepdim = False)[0] predict_feature_list.append(predict_feature) predict_features = torch.cat(predict_feature_list, dim=1) cls_features_list = [] reg_features_list = [] """Pyramid Aggregation""" for i in range(self.num_pyramid_levels): new_xyz = new_xyz_list[i] new_xyz_r = new_xyz_r_list[i] new_xyz_batch_cnt = new_xyz_batch_cnt_list[i] new_xyz = new_xyz.view(-1, 3).contiguous() new_xyz_r = new_xyz_r.view(-1, 1).contiguous() """Radius Prediction""" delta_r = self.radius_modules[i](predict_features) # (BN, 1) div_factor, clamp_min, clamp_max = self.norm_factors[i] # delta_r = torch.clamp(delta_r / div_factor, min = clamp_min, max=clamp_max) delta_r = delta_r / div_factor num_grid_points = new_xyz_r.shape[0] // delta_r.shape[0] delta_r = delta_r.unsqueeze(1).repeat(1, num_grid_points, 1).view(-1, 1) new_xyz_r = new_xyz_r + delta_r new_xyz_r = torch.clamp(new_xyz_r, min=clamp_min, max=clamp_max) ex_new_xyz_r = new_xyz_r + temperature * 5 grouped_xyz, grouped_features, empty_mask = self.groupers[i]( xyz, xyz_batch_cnt, new_xyz, ex_new_xyz_r, new_xyz_batch_cnt, features ) grouped_dist = torch.sqrt((grouped_xyz ** 2).sum(dim = 1, keepdim = False)) r_weights = 1 - torch.sigmoid((grouped_dist - new_xyz_r) / temperature) # (N, nsample) r_weights = r_weights.unsqueeze(1) if self.pre_weights: grouped_features = r_weights * grouped_features """RoI-grid Attention""" pos_embedding = self.pos_proj[i](grouped_xyz) key_embedding = self.key_proj[i](grouped_features) value_embedding = self.value_proj[i](grouped_features) pos_key_embedding = pos_embedding * key_embedding v_coef = self.v_coef[i](pos_embedding.mean(2)) q_coef = self.q_coef[i](pos_embedding.mean(2)) k_coef = self.k_coef[i](key_embedding.mean(2)) qk_coef = self.qk_coef[i](pos_key_embedding.mean(2)) value_embedding = value_embedding + pos_embedding * v_coef.unsqueeze(2) attention_embedding = pos_embedding * q_coef.unsqueeze(2) + key_embedding * k_coef.unsqueeze(2) + pos_key_embedding * qk_coef.unsqueeze(2) attention_map = self.attention_proj[i](attention_embedding) attention_map = self.norm_layer[i](attention_map) # (N, num_heads, ns) -> (N, num_heads, head_dims, ns) -> (N, num_heads * head_dims, ns) attention_map = attention_map.unsqueeze(2).repeat(1, 1, self.head_dims, 1).reshape(attention_map.shape[0], -1, attention_map.shape[-1]) if self.pre_weights: attend_features = (attention_map * value_embedding).sum(-1) else: attend_features = (attention_map * r_weights * value_embedding).sum(-1) new_features = attend_features num_features = new_features.shape[1] new_features = new_features.reshape(batch_size * num_rois, -1, num_features) new_features = new_features.permute(1, 0, 2).contiguous() # (L, B, C) pos_emb = self.pos_embeddings[i].unsqueeze(1).repeat(1, new_features.shape[1], 1) # (L, B, C) new_features = self.transformer_encoders[i](new_features, pos=pos_emb) new_features = new_features.permute(1, 0, 2).contiguous() # (B, L, C) cls_weights = self.cls_weight_module[i](new_features) # (B, L, 1) cls_features = new_features * cls_weights cls_features_list.append(cls_features) reg_weights = self.reg_weight_module[i](new_features) # (B, L, 1) reg_features = new_features * reg_weights reg_features_list.append(reg_features) cls_features = torch.cat(cls_features_list, dim=1) # (B x N, \sum(grid_size^3), C) reg_features = torch.cat(reg_features_list, dim=1) # (B x N, \sum(grid_size^3), C) return cls_features.contiguous(), reg_features.contiguous() class PyramidModule(nn.Module): def __init__(self, input_channels, nsamples, grid_sizes, num_heads, head_dims, attention_op, dp_value = 0.1, tr_mode = 'Normal'): """ Args: nsamples: list of int, number of samples in each ball query mlps: list of list of int, spec of the pointnet before the global pooling for each scale """ super().__init__() input_channels += 3 self.num_pyramid_levels = len(nsamples) self.pos_dims = 3 self.num_heads = num_heads self.head_dims = head_dims self.output_dims = self.num_heads * self.head_dims self.grid_sizes = grid_sizes self.tr_mode = tr_mode assert self.tr_mode in ['NoTr', 'Normal', 'Residual'] if self.tr_mode != 'NoTr': self.transformer_encoders = nn.ModuleList() self.cls_weight_module = nn.ModuleList() self.reg_weight_module = nn.ModuleList() self.pos_embeddings = [] self.groupers = nn.ModuleList() self.pos_proj = nn.ModuleList() self.key_proj = nn.ModuleList() self.value_proj = nn.ModuleList() self.attention_proj = nn.ModuleList() self.norm_layer = nn.ModuleList() self.k_coef = nn.ModuleList() self.qk_coef = nn.ModuleList() self.q_coef = nn.ModuleList() self.v_coef = nn.ModuleList() for i in range(self.num_pyramid_levels): nsample = nsamples[i] grid_size = grid_sizes[i] self.groupers.append(pointnet2_utils.QueryAndGroupPyramidAttention(nsample)) # vmh 1 self.pos_proj.append(nn.Sequential( nn.Conv1d(self.pos_dims, self.output_dims, 1, groups=1, bias=False), nn.ReLU(), )) self.key_proj.append(nn.Sequential( nn.Conv1d(input_channels, self.output_dims, 1, groups=1, bias=False), nn.ReLU() )) self.value_proj.append(nn.Sequential( nn.Conv1d(input_channels, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), nn.Conv1d(self.output_dims, self.output_dims, 1, groups=1, bias=False), nn.BatchNorm1d(self.output_dims), nn.ReLU(), )) self.attention_proj.append(nn.Sequential( nn.Conv1d(self.output_dims, self.num_heads, 1, groups=1, bias=False), )) self.norm_layer.append(nn.Softmax(dim=-1)) self.k_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.q_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.qk_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) self.v_coef.append(nn.Sequential( nn.Linear(self.output_dims, self.output_dims, bias=False), nn.Sigmoid() )) num_out_ch = self.output_dims if self.tr_mode != 'NoTr': encoder_layer = TransformerEncoderLayer( d_model=num_out_ch, nhead=4, dim_feedforward=num_out_ch, dropout=dp_value, activation="relu", normalize_before=False, ) self.transformer_encoders.append(TransformerEncoder(encoder_layer = encoder_layer, num_layers = 1, norm = None)) self.pos_embeddings.append( nn.Parameter( torch.zeros((grid_size ** 3, num_out_ch)).cuda() ) ) self.cls_weight_module.append(nn.Sequential( nn.Linear(num_out_ch, num_out_ch//2), nn.ReLU(), nn.Linear(num_out_ch//2, 1), nn.Sigmoid() )) self.reg_weight_module.append(nn.Sequential( nn.Linear(num_out_ch, num_out_ch //2), nn.ReLU(), nn.Linear(num_out_ch//2, 1), nn.Sigmoid() )) self.attention_op = attention_op self.init_weights() def init_weights(self): for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm2d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) if isinstance(m, nn.Conv1d): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) if isinstance(m, nn.BatchNorm1d): nn.init.constant_(m.weight, 1.0) nn.init.constant_(m.bias, 0) if isinstance(m, nn.Linear): nn.init.kaiming_normal_(m.weight) if m.bias is not None: nn.init.constant_(m.bias, 0) def forward(self, xyz, xyz_batch_cnt, new_xyz_list, new_xyz_r_list, new_xyz_batch_cnt_list, features=None, batch_size=None, num_rois=None): """ :param xyz: (N1 + N2 ..., 3) tensor of the xyz coordinates of the features :param xyz_batch_cnt: (batch_size), [N1, N2, ...] :param new_xyz_list: [(B, N x grid_size^3, 3)] :param new_xyz_r_list: [(B, N x grid_size^3, 1)] :param new_xyz_batch_cnt_list: (batch_size) :param features: (N1 + N2 ..., C) tensor of the descriptors of the the features :return: new_xyz: (M1 + M2 ..., 3) tensor of the new features' xyz new_features: (M1 + M2 ..., \sum_k(mlps[k][-1])) tensor of the new_features descriptors """ cls_features_list = [] reg_features_list = [] for i in range(self.num_pyramid_levels): new_xyz = new_xyz_list[i] new_xyz_r = new_xyz_r_list[i] new_xyz_batch_cnt = new_xyz_batch_cnt_list[i] new_xyz = new_xyz.view(-1, 3).contiguous() new_xyz_r = new_xyz_r.view(-1, 1).contiguous() grouped_xyz, grouped_features, empty_mask = self.groupers[i]( xyz, xyz_batch_cnt, new_xyz, new_xyz_r, new_xyz_batch_cnt, features ) pos_embedding = self.pos_proj[i](grouped_xyz) key_embedding = self.key_proj[i](grouped_features) value_embedding = self.value_proj[i](grouped_features) pos_key_embedding = pos_embedding * key_embedding v_coef = self.v_coef[i](pos_embedding.mean(2)) q_coef = self.q_coef[i](pos_embedding.mean(2)) k_coef = self.k_coef[i](key_embedding.mean(2)) qk_coef = self.qk_coef[i](pos_key_embedding.mean(2)) value_embedding = value_embedding + pos_embedding * v_coef.unsqueeze(2) attention_embedding = pos_embedding * q_coef.unsqueeze(2) + key_embedding * k_coef.unsqueeze(2) + pos_key_embedding * qk_coef.unsqueeze(2) attention_map = self.attention_proj[i](attention_embedding) attention_map = self.norm_layer[i](attention_map) # (N, num_heads, ns) -> (N, num_heads, head_dims, ns) -> (N, num_heads * head_dims, ns) attention_map = attention_map.unsqueeze(2).repeat(1, 1, self.head_dims, 1).reshape(attention_map.shape[0], -1, attention_map.shape[-1]) attend_features = (attention_map * value_embedding).sum(-1) new_features = attend_features num_features = new_features.shape[1] new_features = new_features.reshape(batch_size * num_rois, -1, num_features) if self.tr_mode == 'NoTr': pass elif self.tr_mode == 'Normal': new_features = new_features.permute(1, 0, 2).contiguous() # (L, B, C) pos_emb = self.pos_embeddings[i].unsqueeze(1).repeat(1, new_features.shape[1], 1) # (L, B, C) new_features = self.transformer_encoders[i](new_features, pos=pos_emb) new_features = new_features.permute(1, 0, 2).contiguous() # (B, L, C) elif self.tr_mode == 'Residual': tr_new_features = new_features.permute(1, 0, 2).contiguous() # (L, B, C) pos_emb = self.pos_embeddings[i].unsqueeze(1).repeat(1, tr_new_features.shape[1], 1) # (L, B, C) tr_new_features = self.transformer_encoders[i](tr_new_features, pos=pos_emb) tr_new_features = tr_new_features.permute(1, 0, 2).contiguous() # (B, L, C) new_features = new_features + tr_new_features else: raise NotImplementedError cls_weights = self.cls_weight_module[i](new_features) # (B, L, 1) cls_features = new_features * cls_weights cls_features_list.append(cls_features) reg_weights = self.reg_weight_module[i](new_features) # (B, L, 1) reg_features = new_features * reg_weights reg_features_list.append(reg_features) cls_features = torch.cat(cls_features_list, dim=1) # (B x N, \sum(grid_size^3), C) reg_features = torch.cat(reg_features_list, dim=1) # (B x N, \sum(grid_size^3), C) return cls_features.contiguous(), reg_features.contiguous() class StackPointnetFPModule(nn.Module): def __init__(self, *, mlp: List[int]): """ Args: mlp: list of int """ super().__init__() shared_mlps = [] for k in range(len(mlp) - 1): shared_mlps.extend([ nn.Conv2d(mlp[k], mlp[k + 1], kernel_size=1, bias=False), nn.BatchNorm2d(mlp[k + 1]), nn.ReLU() ]) self.mlp = nn.Sequential(*shared_mlps) def forward(self, unknown, unknown_batch_cnt, known, known_batch_cnt, unknown_feats=None, known_feats=None): """ Args: unknown: (N1 + N2 ..., 3) known: (M1 + M2 ..., 3) unknow_feats: (N1 + N2 ..., C1) known_feats: (M1 + M2 ..., C2) Returns: new_features: (N1 + N2 ..., C_out) """ dist, idx = pointnet2_utils.three_nn(unknown, unknown_batch_cnt, known, known_batch_cnt) dist_recip = 1.0 / (dist + 1e-8) norm = torch.sum(dist_recip, dim=-1, keepdim=True) weight = dist_recip / norm interpolated_feats = pointnet2_utils.three_interpolate(known_feats, idx, weight) if unknown_feats is not None: new_features = torch.cat([interpolated_feats, unknown_feats], dim=1) # (N1 + N2 ..., C2 + C1) else: new_features = interpolated_feats new_features = new_features.permute(1, 0)[None, :, :, None] # (1, C, N1 + N2 ..., 1) new_features = self.mlp(new_features) new_features = new_features.squeeze(dim=0).squeeze(dim=-1).permute(1, 0) # (N1 + N2 ..., C) return new_features class TransformerEncoder(nn.Module): def __init__(self, encoder_layer, num_layers, norm=None): super().__init__() self.layers = _get_clones(encoder_layer, num_layers) self.num_layers = num_layers self.norm = norm def forward(self, src, mask = None, src_key_padding_mask = None, pos = None): output = src for layer in self.layers: output = layer(output, src_mask=mask, src_key_padding_mask=src_key_padding_mask, pos=pos) if self.norm is not None: output = self.norm(output) return output class TransformerEncoderLayer(nn.Module): def __init__(self, d_model, nhead, dim_feedforward=2048, dropout=0.1, activation="relu", normalize_before=False): super().__init__() self.self_attn = nn.MultiheadAttention(d_model, nhead, dropout=dropout) # Implementation of Feedforward model self.linear1 = nn.Linear(d_model, dim_feedforward) self.dropout = nn.Dropout(dropout) self.linear2 = nn.Linear(dim_feedforward, d_model) self.norm1 = nn.LayerNorm(d_model) self.norm2 = nn.LayerNorm(d_model) self.dropout1 = nn.Dropout(dropout) self.dropout2 = nn.Dropout(dropout) self.activation = _get_activation_fn(activation) self.normalize_before = normalize_before def with_pos_embed(self, tensor, pos): return tensor if pos is None else tensor + pos def forward_post(self, src, src_mask = None, src_key_padding_mask = None, pos = None): q = k = self.with_pos_embed(src, pos) src2 = self.self_attn(q, k, value=src, attn_mask=src_mask, key_padding_mask=src_key_padding_mask)[0] src = src + self.dropout1(src2) src = self.norm1(src) src2 = self.linear2(self.dropout(self.activation(self.linear1(src)))) src = src + self.dropout2(src2) src = self.norm2(src) return src def forward_pre(self, src, src_mask = None, src_key_padding_mask = None, pos = None): src2 = self.norm1(src) q = k = self.with_pos_embed(src2, pos) src2 = self.self_attn(q, k, value=src2, attn_mask=src_mask, key_padding_mask=src_key_padding_mask)[0] src = src + self.dropout1(src2) src2 = self.norm2(src) src2 = self.linear2(self.dropout(self.activation(self.linear1(src2)))) src = src + self.dropout2(src2) return src def forward(self, src, src_mask = None, src_key_padding_mask = None, pos = None): if self.normalize_before: return self.forward_pre(src, src_mask, src_key_padding_mask, pos) return self.forward_post(src, src_mask, src_key_padding_mask, pos) def _get_clones(module, N): return nn.ModuleList([copy.deepcopy(module) for i in range(N)]) def _get_activation_fn(activation): """Return an activation function given a string""" if activation == "relu": return F.relu if activation == "gelu": return F.gelu if activation == "glu": return F.glu raise RuntimeError(F"activation should be relu/gelu, not {activation}.")

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bb04af2eb70bc9a6370806205f2c227f3d531581

165

py

Python

fight_tracker/rendering/misc.py

jm-begon/fight_tracker

82dc6bbb9e24015e1dc3edbd05ce319b3c88626d

[ "BSD-3-Clause" ]

null

fight_tracker/rendering/misc.py

jm-begon/fight_tracker

82dc6bbb9e24015e1dc3edbd05ce319b3c88626d

[ "BSD-3-Clause" ]

null

fight_tracker/rendering/misc.py

jm-begon/fight_tracker

82dc6bbb9e24015e1dc3edbd05ce319b3c88626d

[ "BSD-3-Clause" ]

null

class HPBar: def __init__(self, hp, hp_max): self.hp = hp self.hp_max = hp_max def __str__(self): return f"{self.hp}/{self.hp_max}"

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24765fd67c20a031c7ee93649a97064ac70db237

9,458

py

Python

test1/tests/test_account_cronjob.py

biz2013/xwjy

8f4b5e3e3fc964796134052ff34d58d31ed41904

[ "Apache-2.0" ]

1

2019-12-15T16:56:44.000Z

test1/tests/test_account_cronjob.py

biz2013/xwjy

8f4b5e3e3fc964796134052ff34d58d31ed41904

[ "Apache-2.0" ]

87

2018-01-06T10:18:31.000Z

2022-03-11T23:32:30.000Z

test1/tests/test_account_cronjob.py

biz2013/xwjy

8f4b5e3e3fc964796134052ff34d58d31ed41904

[ "Apache-2.0" ]

null

#!/usr/bin/python # -*- coding: utf-8 -*- from django.test import TestCase, TransactionTestCase from django.test import Client from django.contrib.auth.models import User from mock import Mock, MagicMock, patch from controller import axfd_utils, useraccountinfomanager, loginmanager from users.models import * from test1.forms import * from setuptest import * import datetime as dt import sys, traceback, time, json, math test_data1 = json.load(open('tests/data/trx_test_data1.json')) test_data2 = json.load(open('tests/data/trx_test_data2.json')) class AccountCronJobTestCase(TransactionTestCase): fixtures = ['fixture_for_tests.json'] def setUp(self): try: User.objects.get(username='taozhang') except User.DoesNotExist: setup_test() @patch.object(axfd_utils.AXFundUtility, 'listtransactions') def test_update_account_from_trx(self, mock_listtransactions): mock_listtransactions.return_value = test_data1 # set user's wallet to test address updated = UserWallet.objects.filter(user__username='taozhang', wallet__cryptocurrency__currency_code='AXFund').update( wallet_addr='AGqfmz49fVFpdoKRfaw2zN7CikWAhUsYdE', lastupdated_at = dt.datetime.utcnow()) if not updated: fail('Did not find userwallet for taozhang') taozhang = User.objects.get(username='taozhang') print 'taozhang\'s userid is {0}'.format(taozhang.id) updated = UserWallet.objects.filter(user__username='yingzhou', wallet__cryptocurrency__currency_code='AXFund').update( wallet_addr='AboGeCuvs8U8nGGuoe9awZzhUDHTkuiG4Y', lastupdated_at = dt.datetime.utcnow()) if not updated: fail('Did not find userwallet for yingzhou') yingzhou = User.objects.get(username='yingzhou') print 'yingzhou\'s userid is {0}'.format(yingzhou.id) #with patch('controller.axfd_utils.axfd_listtransactions') as mock: # instance = mock.return_value # instance.method.return_value = test_data c = Client() response = c.get('/account/cron/update_receive/') self.assertEqual(200, response.status_code) user1_wallet = UserWallet.objects.get(user__username='taozhang', wallet__cryptocurrency__currency_code = 'AXFund') user2_wallet = UserWallet.objects.get(user__username='yingzhou', wallet__cryptocurrency__currency_code = 'AXFund') self.assertEqual(101, user1_wallet.balance) self.assertEqual(1.2, user2_wallet.balance) try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertEqual('PROCESSED', trans1.status) self.assertTrue(math.fabs(trans1.units - 100.0) < 0.00000001) self.assertTrue(math.fabs(trans1.balance_end - trans1.balance_begin - 100.0)<0.00000001) self.assertEqual(trans1.locked_balance_begin, trans1.locked_balance_end) self.assertTrue(math.fabs(trans1.available_to_trade_end - trans1.available_to_trade_begin - 100.0) < 0.0000001) self.assertEqual('CREDIT', trans1.balance_update_type) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63') try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertEqual('PENDING', trans1.status) self.assertTrue(math.fabs(trans1.units - 1.0) < 0.00000001) self.assertEqual(0.0, trans1.balance_begin) self.assertEqual(0.0, trans1.balance_end) self.assertEqual(0.0, trans1.locked_balance_begin) self.assertEqual(0.0, trans1.locked_balance_end) self.assertEqual(0.0, trans1.available_to_trade_begin) self.assertEqual(0.0, trans1.available_to_trade_end) self.assertEqual('DEBT', trans1.balance_update_type) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820') mock_listtransactions.return_value = test_data2 c = Client() response = c.get('/account/cron/update_receive/') self.assertEqual(200, response.status_code) user1_wallet = UserWallet.objects.get(user__username='taozhang', wallet__cryptocurrency__currency_code = 'AXFund') user2_wallet = UserWallet.objects.get(user__username='yingzhou', wallet__cryptocurrency__currency_code = 'AXFund') self.assertEqual(95.8, user1_wallet.balance) self.assertEqual(-1.8, user2_wallet.balance) try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertEqual('PROCESSED', trans1.status) self.assertTrue(math.fabs(trans1.units - 100.0) < 0.00000001) self.assertTrue(math.fabs(trans1.balance_end - trans1.balance_begin - 100.0)<0.00000001) self.assertEqual(trans1.locked_balance_begin, trans1.locked_balance_end) self.assertTrue(math.fabs(trans1.available_to_trade_end - trans1.available_to_trade_begin - 100.0) < 0.0000001) self.assertEqual('CREDIT', trans1.balance_update_type) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63') try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertTrue(math.fabs(trans1.units - 1.0) < 0.00000001) self.assertTrue(math.fabs(trans1.balance_end - trans1.balance_begin + 1.0) < 0.00000001) self.assertEqual(trans1.locked_balance_begin, trans1.locked_balance_end) self.assertTrue(math.fabs(trans1.available_to_trade_end - trans1.available_to_trade_begin + 1.0) < 0.0000001) self.assertEqual('DEBT', trans1.balance_update_type) self.assertEqual('PROCESSED', trans1.status) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820') # rerun should not make any problem mock_listtransactions.return_value = test_data2 c = Client() response = c.get('/account/cron/update_receive/') self.assertEqual(200, response.status_code) user1_wallet = UserWallet.objects.get(user__username='taozhang', wallet__cryptocurrency__currency_code = 'AXFund') user2_wallet = UserWallet.objects.get(user__username='yingzhou', wallet__cryptocurrency__currency_code = 'AXFund') self.assertEqual(95.8, user1_wallet.balance) self.assertEqual(-1.8, user2_wallet.balance) try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertEqual('PROCESSED', trans1.status) self.assertTrue(math.fabs(trans1.units - 100.0) < 0.00000001) self.assertTrue(math.fabs(trans1.balance_end - trans1.balance_begin - 100.0)<0.00000001) self.assertEqual(trans1.locked_balance_begin, trans1.locked_balance_end) self.assertTrue(math.fabs(trans1.available_to_trade_end - trans1.available_to_trade_begin - 100.0) < 0.0000001) self.assertEqual('CREDIT', trans1.balance_update_type) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid e8392e991eaa06fc4e37a32c713d69f56b4f14ff823c1adee7b43dc1f98e3b63') try: trans1 = UserWalletTransaction.objects.get( reference_wallet_trxId='cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820' ) self.assertEqual(2, trans1.user_wallet.user.id) self.assertTrue(math.fabs(trans1.units - 1.0) < 0.00000001) self.assertTrue(math.fabs(trans1.balance_end - trans1.balance_begin + 1.0) < 0.00000001) self.assertEqual(trans1.locked_balance_begin, trans1.locked_balance_end) self.assertTrue(math.fabs(trans1.available_to_trade_end - trans1.available_to_trade_begin + 1.0) < 0.0000001) self.assertEqual('DEBT', trans1.balance_update_type) self.assertEqual('PROCESSED', trans1.status) except UserWalletTransaction.DoesNotExist: fail('Could not find userwallettransaction for txid cbe71c7c0e27227cb2684d8eefcc8a169145fafe9f1c76a7be79de04b7d0c820')

55.635294

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0.701945

981

9,458

6.553517

0.14475

0.088661

0.044797

0.054752

0.852699

0.832478

0.814124

0.783014

0.745995

0

0.101482

0.208184

9,458

169

131

55.964497

0.756977

0.026221

0

0.689189

0

0.1744

0.122895

0

0.364865

0

null

0

0.067568

null

0.013514

0

null

0

1

0

null

0

1

0

7

2480fbb2ef72953b8553cc3a6b44c9a3a2d11945

165

py

Python

wayforpay/utils.py

zagran/wayforpay

43a00979d2ab15cc6792b15470c2e59dbffb87ad

[ "MIT" ]

2

2020-10-08T22:00:38.000Z

2021-05-17T10:03:45.000Z

wayforpay/utils.py

zagran/wayforpay

43a00979d2ab15cc6792b15470c2e59dbffb87ad

[ "MIT" ]

null

wayforpay/utils.py

zagran/wayforpay

43a00979d2ab15cc6792b15470c2e59dbffb87ad

[ "MIT" ]

2

2020-09-07T10:31:16.000Z

2020-09-15T20:38:38.000Z

import hashlib import hmac def generate_signature(merchant_key, data_str): return hmac.new(merchant_key.encode(), data_str.encode(), hashlib.md5).hexdigest()

20.625

86

0.775758

23

165

5.347826

0.652174

0.178862

0

0.006803

0.109091

165

7

87

23.571429

0.829932

0

1

0

1

0.25

false

0

0.5

0.25

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

7

2487cc713de42335d30a4a88c47c42d6671fbda4

2,788

py

Python

teams/john_cena/motor.py

AbinMM/PYNQ_Hackathon_2017

711c75e8590b02f313295cef712188691690c948

[ "BSD-3-Clause" ]

19

2017-10-08T03:18:38.000Z

2020-07-07T02:34:18.000Z

teams/john_cena/motor.py

AbinMM/PYNQ_Hackathon_2017

711c75e8590b02f313295cef712188691690c948

[ "BSD-3-Clause" ]

2

2017-10-08T03:15:10.000Z

2017-10-10T16:10:32.000Z

teams/john_cena/motor.py

AbinMM/PYNQ_Hackathon_2017

711c75e8590b02f313295cef712188691690c948

[ "BSD-3-Clause" ]

28

2017-10-07T23:24:36.000Z

2022-03-29T08:03:40.000Z

from pynq.overlays.base import BaseOverlay from time import sleep from pynq.lib.arduino.arduino_ardumoto import Arduino_Ardumoto class motor: def __init__(self): # Motor stuff self.base = BaseOverlay("base.bit") self.ardu = Arduino_Ardumoto(self.base.ARDUINO) self.ardu.configure_pins(self.ardu.defaultpins) self.ardu.configure_polarity(self.ardu.motorB, self.ardu.pol_reverse) self.ardu.configure_polarity(self.ardu.motorA, self.ardu.pol_reverse) # Range finder stuff def turn_left (self,degree): self.ardu.set_speed(self.ardu.motorA,70) self.ardu.set_speed(self.ardu.motorB,70) self.ardu.set_dir(self.ardu.motorA, self.ardu.forward) self.ardu.set_dir(self.ardu.motorB, self.ardu.backward) self.ardu.run(self.ardu.motorA) self.ardu.run(self.ardu.motorB) for time in range (0, degree): sleep (0.5) #self.ardu.stop(self.ardu.motorA) #self.ardu.stop(self.ardu.motorB) def turn_right (self,degree): self.ardu.set_speed(self.ardu.motorA,70) self.ardu.set_speed(self.ardu.motorB,70) self.ardu.set_dir(self.ardu.motorA, self.ardu.backward) self.ardu.set_dir(self.ardu.motorB, self.ardu.forward) self.ardu.run(self.ardu.motorA) self.ardu.run(self.ardu.motorB) for time in range (0, degree): sleep (0.5) #self.ardu.stop(self.ardu.motorA) #self.ardu.stop(self.ardu.motorB) def forward (self,duration): self.ardu.set_speed(self.ardu.motorA,70) self.ardu.set_speed(self.ardu.motorB,70) self.ardu.set_dir(self.ardu.motorA, self.ardu.forward) self.ardu.set_dir(self.ardu.motorB, self.ardu.forward) self.ardu.run(self.ardu.motorA) self.ardu.run(self.ardu.motorB) for time in range (0, duration): sleep (0.5) #self.ardu.stop(self.ardu.motorA) #self.ardu.stop(self.ardu.motorB) def backward (self,duration): self.ardu.set_speed(self.ardu.motorA,70) self.ardu.set_speed(self.ardu.motorB,70) self.ardu.set_dir(self.ardu.motorA, self.ardu.backward) self.ardu.set_dir(self.ardu.motorB, self.ardu.backward) self.ardu.run(self.ardu.motorA) self.ardu.run(self.ardu.motorB) for time in range (0, duration): sleep (0.5) #self.ardu.stop(self.ardu.motorA) #self.ardu.stop(self.ardu.motorB) def stop (self): self.ardu.stop(self.ardu.motorA) self.ardu.stop(self.ardu.motorB)

39.828571

77

0.604017

379

2,788

4.364116

0.121372

0.411125

0.152358

0.804111

0.787183

0.747279

0

0.013841

0.27439

2,788

69

78

40.405797

0.803757

0.102583

0

0.653061

0

0.003213

0

1

0.122449

false

0

0.061224

0

0.204082

0

null

1

0

1

0

null

0

7

24895b036c81c4b99ae1341746fb682ceef9f195

225

py

Python

agileLibrary/agileLibrary/main/models/__init__.py

DimOps/library-app

ed5e832c877957548d19b2ce38fa3ab5058d6797

[ "MIT" ]

null

agileLibrary/agileLibrary/main/models/__init__.py

DimOps/library-app

ed5e832c877957548d19b2ce38fa3ab5058d6797

[ "MIT" ]

null

agileLibrary/agileLibrary/main/models/__init__.py

DimOps/library-app

ed5e832c877957548d19b2ce38fa3ab5058d6797

[ "MIT" ]

null

from agileLibrary.main.models.resources import Book, Paper, Laptop from agileLibrary.main.models.rooms import StudySpace from agileLibrary.main.models.storages import Trolley from agileLibrary.main.models.user import Profile

45

66

0.857778

30

225

6.433333

0.5

0.331606

0.414508

0.53886

0

0.08

225

4

67

56.25

0.932367

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

2491969a9adf2db80eb77fd456de3ef78964321c

22,430

py

Python

standard_scraper/api_handler.py

tc-reynolds/DWW

064f1e86511e4f41f3ab88e12a1fcdc247c2fb04

[ "MIT" ]

null

standard_scraper/api_handler.py

tc-reynolds/DWW

064f1e86511e4f41f3ab88e12a1fcdc247c2fb04

[ "MIT" ]

null

standard_scraper/api_handler.py

tc-reynolds/DWW

064f1e86511e4f41f3ab88e12a1fcdc247c2fb04

[ "MIT" ]

null

url = 'url' coli = 'coliform' chem = 'chem' copper_lead = 'copper_lead' state_names = ["Alaska", "Alabama", "Arkansas", "Arizona", "California", "Colorado", "Connecticut", "District of Columbia", "Delaware", "Florida", "Georgia", "Hawaii", "Iowa", "Idaho", "Illinois", "Indiana", "Kansas", "Kentucky", "Louisiana", "Massachusetts", "Maryland", "Maine", "Michigan", "Minnesota", "Missouri", "Mississippi", "Montana", "North Carolina", "North Dakota", "Nebraska", "New Hampshire", "New Jersey", "New Mexico", "Nevada", "New York", "Ohio", "Oklahoma", "Oregon", "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota", "Tennessee", "Texas", "Utah", "Virginia", "Vermont", "Washington", "Wisconsin", "West Virginia", "Wyoming"] non_jsp_states = { 'Florida': 'http://publicfiles.dep.state.fl.us/DWRM/Drinking%20Water%20Data/CHEM/2004/', 'Wisconsin': 'https://dnr.wi.gov/dwsviewer/ContamResult', 'New Jersey': 'https://www9.state.nj.us/DEP_WaterWatch_public/', 'California': 'https://sdwis.waterboards.ca.gov/PDWW/', 'Pennsylvania': 'http://www.drinkingwater.state.pa.us/dwrs/HTM/SelectionCriteria.html', 'Washington': 'https://fortress.wa.gov/doh/eh/portal/odw/si/FindWaterQuality.aspx', 'Michigan': 'https://mitracking.state.mi.us/', 'Orgeon': 'https://yourwater.oregon.gov/search.htm', 'Utah': 'https://deq.utah.gov/water-system-search-form' } no_data = [ 'Alabama', 'District of Columbia', 'South Dakota', 'Georgia' ] jsp_unique = { 'Missouri': 'https://dnr.mo.gov/DWW/', 'Virginia': 'https://odw.vdh.virginia.gov/DWW-VA/', 'Rhode Island': 'https://dwq.health.ri.gov/DWW/', 'Kansas': 'http://165.201.142.59:8080/DWW/SampleSearch.jsp', 'Wyoming': 'https://sdwisr8.epa.gov/Region8DWWPUB/index.jsp', 'Alaska': 'https://dec.alaska.gov/DWW/' } jsp_states = { 'Maryland': { url: 'https://mdesdwis.mde.state.md.us/DWW/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=NonTCRAll' '&begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Texas': { url: 'https://dww2.tceq.texas.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All&SourceWaterType=All' '&SampleType=ColiformSample&begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All&SourceWaterType=All' '&SampleType=NonTCRAll&stateclassificationcode=All&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Delaware': { url: 'https://drinkingwater.dhss.delaware.gov/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Iowa': { url: 'http://programs.iowadnr.gov/drinkingwaterwatch/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=NonTCRAll' '&begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Illinois': { url: 'http://water.epa.state.il.us/dww/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Kentucky': { url: 'https://dep.gateway.ky.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All' '&county=All&WaterSystemType=All&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Louisiana': { url: 'https://sdw.ldh.la.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All' '&county=All&WaterSystemType=All&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Mississippi': { url: 'https://apps.msdh.ms.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All' '&county=All&WaterSystemType=All&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'North Carolina': { url: 'https://www.pwss.enr.state.nc.us/NCDWW/', coli: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=NonTCRAll&stateclassificationcode=All&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Vermont': { url: 'https://anrnode.anr.state.vt.us/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'West Virginia': { url: 'https://dww.wvdhhr.org/DWWpublic/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Montana': { url: 'http://sdwisdww.mt.gov:8080/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Tennessee': { url: 'http://environment-online.state.tn.us:8080/DWW/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Indiana': { url: 'https://myweb.in.gov/IDEM/DWW/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: None, copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Oklahoma': { url: 'http://sdwis.deq.state.ok.us/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Arizona': { url: 'https://azsdwis.azdeq.gov/DWW_EXT/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Ohio': { url: 'http://dww.epa.ohio.gov/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All' '&SourceWaterType=All&PointOfContactType=None&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Idaho': { url: 'http://dww.deq.idaho.gov/IDPDWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Nebraska': { url: 'https://sdwis-dhhs.ne.gov:8443/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'Nevada': { url: 'https://ndwis.ndep.nv.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&ActivityStatusCD=All&county=All&WaterSystemType=All' '&SourceWaterType=All&SampleType=NonTCRAll&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&companyname=&WaterSystemStatusCode=A&county=All&' 'WaterSystemType=All&SourceWaterType=All&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'New Mexico': { url: 'https://dww.water.net.env.nm.gov/DWW/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=NonTCRAll&stateclassificationcode=All&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' }, 'South Carolina': { url: 'http://dwwwebvm.dhec.sc.gov:8080/DWW/', coli: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=ColiformSample&' 'begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples', chem: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=NonTCRAll&stateclassificationcode=All&' 'begin_date=3%2F11%2F2019&end_date=3%2F11%2F2021&action1=Search+For+Samples', copper_lead: 'JSP/SearchDispatch?number=&name=&county=All&WaterSystemType=All&SourceWaterType=All' '&PointOfContactType=None&SampleType=LeadandCopperSummaries' '&begin_date=STARTING_DATE&end_date=ENDING_DATE&action1=Search+For+Samples' } } crawled_states = [ # 'Arizona', # 'Delaware', # 'Iowa', # 'Kentucky', # 'Louisiana', # 'Mississippi', # 'North Carolina', # 'Vermont', # 'Florida', # 'West Virginia', # 'Illinois' ] def known_states(): known_state_list = [] for key in jsp_states: known_state_list.append(key) return known_state_list def crawl_new(): print("States left to Crawl!") keys = jsp_states.keys() for key in keys: if key not in crawled_states: print(key) def get_url(key): return jsp_states[key][url] def get_coli_call(key): return jsp_states[key][coli] def get_chem_call(key): return jsp_states[key][chem] def get_copper_lead_call(key): return jsp_states[key][copper_lead] def diff(li1, li2): return list(list(set(li1) - set(li2)) + list(set(li2) - set(li1))) if __name__ == '__main__': known = known_states() print("Num States known: " + str(len(known))) print(known) unknown = diff(known, state_names) print("States not yet known: " + str(len(unknown))) print(diff(known, state_names))

63.183099

121

0.690994

2,378

22,430

6.380151

0.103028

0.072832

0.098537

0.115674

0.833773

0.832125

0.827182

0.826852

0.826193

0

0.007127

0.17432

22,430

355

122

63.183099

0.812095

0.006152

0

0.550152

0

0.021277

0.727122

0.623895

0

1

0.021277

false

0

0.015198

0.039514

0.018237

0

null

0

1

0

1

null

0

8

24bf13bd48588f40644dd56aa96abb263f698889

3,372

py

Python

msg.py

eugene1905/crypto-price-alarm

744c7089a9dcb3bb937686fd72d6b603d28cbff6

[ "MIT" ]

null

msg.py

eugene1905/crypto-price-alarm

744c7089a9dcb3bb937686fd72d6b603d28cbff6

[ "MIT" ]

null

msg.py

eugene1905/crypto-price-alarm

744c7089a9dcb3bb937686fd72d6b603d28cbff6

[ "MIT" ]

null

import data import settings import time from datetime import datetime def getBLMsg(): msg = f"========================================== {settings.cnt} {settings.exchg_rate} ===============================================" msg += "\n[Luno Price(RM)]" for i in settings.coins: if i == 'XRP': tmp = "%.4f" % round(data.luno[0][i], 4) else: tmp = "%.2f" % round(data.luno[0][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Binance Price(USDT)]" for i in settings.coins: if i == 'XRP': tmp = "%.4f" % round(data.binance[0][i], 4) else: tmp = "%.2f" % round(data.binance[0][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Profit Rate(%)]" for i in settings.coins: tmp = "%.3f" % round(data.profit_rate[0][i], 3) msg += f"\t{i}:{tmp}" msg += "\n[Est. Gain(RM)]\t" for i in settings.coins: tmp = "%.2f" % round(data.profit[0][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Suggestion]\t" for i in settings.coins: tmp = round(settings.cost[i]+settings.transport_fees['bl'][i], 7) msg += f"\t{i}:{tmp}" msg += '\n===================================================================================================' return msg def getLBMsg(): msg = f"========================================= {settings.cnt} Reverse {settings.exchg_rate} ===========================================" msg += "\n[Luno Price(RM)]" for i in settings.coins: if i == 'XRP': tmp = "%.4f" % round(data.luno[1][i], 4) else: tmp = "%.2f" % round(data.luno[1][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Binance Price(USDT)" for i in settings.coins: if i == 'XRP': tmp = "%.4f" % round(data.binance[1][i], 4) else: tmp = "%.2f" % round(data.binance[1][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Profit Rate(%)]" for i in settings.coins: tmp = "%.3f" % round(data.profit_rate[1][i], 3) msg += f"\t{i}:{tmp}" msg += "\n[Est. Gain]\t" for i in settings.coins: tmp = "%.2f" % round(data.profit[1][i], 2) msg += f"\t{i}:{tmp}" msg += "\n[Suggestion]\t" for i in settings.coins: tmp = round(settings.cost[i]+settings.transport_fees['lb'][i], 7) msg += f"\t{i}:{tmp}" msg += '\n=====================================================================================================' return msg def getBLLog(): now = datetime.now() log = f"{now}" for i in settings.coins: log += f",{data.luno[0][i]}" for i in settings.coins: log += f",{data.binance[0][i]}" for i in settings.coins: log += f",{data.profit_rate[0][i]}" for i in settings.coins: log += f",{data.profit[0][i]}" log += ",bl\n" return log def getLBLog(): now = datetime.now() log = f"{now}" for i in settings.coins: log += f",{data.luno[1][i]}" for i in settings.coins: log += f",{data.binance[1][i]}" for i in settings.coins: log += f",{data.profit_rate[1][i]}" for i in settings.coins: log += f",{data.profit[1][i]}" log += ",lb\n" return log

31.222222

144

0.419039

436

3,372

3.222477

0.123853

0.051246

0.076868

0.179359

0.875445

0.874021

0.798577

0

0.019159

0.28796

3,372

107

145

31.514019

0.566014

0

0.555556

0

0.308116

0.156508

0

1

0.044444

false

0

0.044444

0

0.133333

0

null

0

1

0

null

0

7

702d969aa9fef987e93302bf261b841c95b23c47

610

py

Python

train_covid20cases_timm-regnetx_002_image_compression.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

train_covid20cases_timm-regnetx_002_image_compression.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

train_covid20cases_timm-regnetx_002_image_compression.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

import os ls=["python main.py --configs configs/train_covid20cases_unetplusplus_timm-regnetx_002_fold0_image_compression.yml", "python main.py --configs configs/train_covid20cases_unetplusplus_timm-regnetx_002_fold1_image_compression.yml", "python main.py --configs configs/train_covid20cases_unetplusplus_timm-regnetx_002_fold2_image_compression.yml", "python main.py --configs configs/train_covid20cases_unetplusplus_timm-regnetx_002_fold3_image_compression.yml", "python main.py --configs configs/train_covid20cases_unetplusplus_timm-regnetx_002_fold4_image_compression.yml", ] for l in ls: os.system(l)

55.454545

116

0.863934

85

610

5.788235

0.294118

0.101626

0.121951

0.193089

0.855691

0

0.051813

0.05082

610

11

117

55.454545

0.797927

0

0.89198

0.687398

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

1

null

0

9

70332aae0537556f8f301cb0a72612f0053e8f3a

1,608

py

Python

knn_and_regression/src/distances.py

WallabyLester/Machine_Learning_From_Scratch

6042cf421f5de2db61fb570b7c4de64dc03453f3

[ "MIT" ]

null

knn_and_regression/src/distances.py

WallabyLester/Machine_Learning_From_Scratch

6042cf421f5de2db61fb570b7c4de64dc03453f3

[ "MIT" ]

null

knn_and_regression/src/distances.py

WallabyLester/Machine_Learning_From_Scratch

6042cf421f5de2db61fb570b7c4de64dc03453f3

[ "MIT" ]

null

import numpy as np def euclidean_distances(X, Y): """Compute pairwise Euclidean distance between the rows of two matrices X (shape MxK) and Y (shape NxK). The output of this function is a matrix of shape MxN containing the Euclidean distance between two rows. Args: X {np.ndarray} -- First matrix, containing M examples with K features each. Y {np.ndarray} -- Second matrix, containing N examples with K features each. Return: D {np.ndarray}: MxN matrix with Euclidean distances between rows of X and rows of Y. """ a = X.shape[0] b = Y.shape[0] D = np.zeros(shape=(a,b)) n = 0 for i in X: m = 0 for j in Y: elem = np.linalg.norm(i-j) D[n][m] = elem m += 1 n += 1 return D def manhattan_distances(X, Y): """Compute pairwise Manhattan distance between the rows of two matrices X (shape MxK) and Y (shape NxK). The output of this function is a matrix of shape MxN containing the Manhattan distance between two rows. Args: X {np.ndarray} -- First matrix, containing M examples with K features each. Y {np.ndarray} -- Second matrix, containing N examples with K features each. Returns: D {np.ndarray}: MxN matrix with Manhattan distances between rows of X and rows of Y. """ a = X.shape[0] b = Y.shape[0] D = np.zeros(shape=(a,b)) n = 0 for i in X: m = 0 for j in Y: elem = np.linalg.norm(i-j, ord=1) D[n][m] = elem m += 1 n += 1 return D

30.923077

92

0.590796

254

1,608

3.732283

0.224409

0.037975

0.054852

0.088608

0.883966

0.829114

0.780591

0

0.011861

0.318408

1,608

51

93

31.529412

0.853102

0.589552

0

0.814815

0

1

0.074074

false

0

0.037037

0

0.185185

0

null

0

1

0

1

0

null

0

7

704b5f1bac63225b32f31a456d0dbeb3f3163dec

49

py

Python

ltc/analyzer/views/__init__.py

r1990v/JMeter-Control-Center

53bb61a62d270e3bbe5ce209b26ae89cbaba6ad4

[ "MIT" ]

166

2017-08-24T10:40:54.000Z

2021-04-01T09:31:55.000Z

ltc/analyzer/views/__init__.py

v0devil/jltom

b302a39a187b8e1154c6deda636a4db8b30bb40b

[ "MIT" ]

25

2017-11-17T14:52:25.000Z

2020-08-09T02:49:39.000Z

ltc/analyzer/views/__init__.py

v0devil/jltom

b302a39a187b8e1154c6deda636a4db8b30bb40b

[ "MIT" ]

79

2017-10-24T11:36:41.000Z

2021-03-29T05:16:29.000Z

from ltc.analyzer.views.analyzer_views import *

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Python

tests/test_timeseries.py

SciFin-Team/SciFin

e4e3d1a32e060c911e43d89df833b3ad078ba6df

[ "MIT" ]

9

2020-08-07T02:58:44.000Z

2021-10-05T16:37:07.000Z

tests/test_timeseries.py

SciFin-Team/SciFin

e4e3d1a32e060c911e43d89df833b3ad078ba6df

[ "MIT" ]

9

2020-08-30T09:55:23.000Z

2020-10-15T20:06:36.000Z

tests/test_timeseries.py

SciFin-Team/SciFin

e4e3d1a32e060c911e43d89df833b3ad078ba6df

[ "MIT" ]

5

2020-08-17T10:35:26.000Z

2020-11-13T17:46:33.000Z

import pandas as pd import pytz import pytest from scifin.timeseries import timeseries as ts class TestTimeSeries: """ Tests the class TimeSeries. """ def test_TimeSeries_init_fail(self): # Define TimeSeries test_df = pd.DataFrame(columns=['g1', 'g2', 'g3'], index=['2020-01', '2020-02']) test_df.loc['2020-01'] = {'g1': 1, 'g2': 2, 'g3': 3} test_df.loc['2020-02'] = {'g1': 4, 'g2': 5, 'g3': 6} # Test Error with pytest.raises(AssertionError): ts1 = ts.TimeSeries(data=test_df, tz="Europe/London", unit='£', name="Test a time series") def test_TimeSeries_init(self): # Define TimeSeries test_df = pd.DataFrame(columns=['ts'], index=['2020-01', '2020-02', '2020-03']) test_df.loc['2020-01'] = 1. test_df.loc['2020-02'] = 2. test_df.loc['2020-03'] = 3. ts1 = ts.TimeSeries(data=test_df, tz="Europe/London", unit='£', name="Test a time series") # Test attributes values assert ts1.data[0] == 1. assert ts1.start_utc == '2020-01' assert ts1.end_utc == '2020-03' assert ts1.nvalues == 3 assert ts1.freq == 'MS' assert ts1.unit == '£' assert ts1.tz == "Europe/London" assert ts1.timezone == pytz.timezone("Europe/London") assert ts1.name == "Test a time series" assert ts1.type == 'TimeSeries' # Test methods assert ts1.hist_avg() == 2.0 assert ts1.hist_std() == 0.816496580927726 assert ts1.hist_variance() == 0.6666666666666666 assert ts1.hist_kurtosis() == 1.5 assert ts1.min() == 1.0 assert ts1.max() == 3.0 assert ts1.percent_change().data.values.flatten().tolist() == [1.0, 0.5] def test_CatTimeSeries_init(self): # Define TimeSeries test_df = pd.DataFrame(columns=['ts'], index=['2020-01', '2020-02', '2020-03']) test_df.loc['2020-01'] = 'a' test_df.loc['2020-02'] = 'b' test_df.loc['2020-03'] = 'c' cts1 = ts.CatTimeSeries(data=test_df, tz="UTC", unit='$', name="Test a categorical time series") # Test attributes values assert cts1.data[0] == 'a' assert cts1.start_utc == '2020-01' assert cts1.end_utc == '2020-03' assert cts1.nvalues == 3 assert cts1.freq == 'MS' assert cts1.unit == '$' assert cts1.tz == "UTC" assert cts1.timezone == pytz.timezone("UTC") assert cts1.name == "Test a categorical time series" assert cts1.type == 'CatTimeSeries' def test_build_from_lists(self): # Define TimeSeries ts1 = ts.build_from_lists(list_dates=['2020-01', '2020-02', '2020-03'], list_values=[1., 2., 3.], tz="Europe/London", unit='£', name="Test a time series") # Test attributes values assert ts1.data[0] == 1. assert ts1.start_utc == '2020-01' assert ts1.end_utc == '2020-03' assert ts1.nvalues == 3 assert ts1.freq == 'MS' assert ts1.unit == '£' assert ts1.tz == "Europe/London" assert ts1.timezone == pytz.timezone("Europe/London") assert ts1.name == "Test a time series" assert ts1.type == 'TimeSeries' # Test methods assert ts1.hist_avg() == 2.0 assert ts1.hist_std() == 0.816496580927726 assert ts1.hist_variance() == 0.6666666666666666 assert ts1.hist_kurtosis() == 1.5 assert ts1.min() == 1.0 assert ts1.max() == 3.0 assert ts1.percent_change().data.values.flatten().tolist() == [1.0, 0.5] # Define CatTimeSeries cts1 = ts.build_from_lists(list_dates=['2020-01', '2020-02', '2020-03'], list_values=['a', 'b', 'c'], tz="UTC", unit='$', name="Test a categorical time series") # Test attributes values assert cts1.data[0] == 'a' assert cts1.start_utc == '2020-01' assert cts1.end_utc == '2020-03' assert cts1.nvalues == 3 assert cts1.freq == 'MS' assert cts1.unit == '$' assert cts1.tz == "UTC" assert cts1.timezone == pytz.timezone("UTC") assert cts1.name == "Test a categorical time series" assert cts1.type == 'CatTimeSeries'

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null

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8

70775d776cd0e3cd2417336a1968552ebc056adb

1,545

py

Python

TorchRay/examples/__init__.py

UMBCvision/Consistent-Explanations-by-Contrastive-Learning

589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3

[ "MIT" ]

11

2020-10-26T15:04:25.000Z

2022-03-24T01:15:35.000Z

TorchRay/examples/__init__.py

UMBCvision/Consistent-Explanations-by-Contrastive-Learning

589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3

[ "MIT" ]

null

TorchRay/examples/__init__.py

UMBCvision/Consistent-Explanations-by-Contrastive-Learning

589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3

[ "MIT" ]

2

2021-03-25T15:25:01.000Z

2021-06-28T21:12:09.000Z

""" Define :func:`run_all_examples` to run all examples of saliency methods (excluding :mod:`examples.standard_suite`). """ __all__ = ['run_all_examples'] from matplotlib import pyplot as plt def run_all_examples(): """Run all examples.""" plt.figure() import examples.extremal_perturbation plt.draw() plt.pause(0.001) plt.figure() import examples.deconvnet_manual plt.draw() plt.pause(0.001) plt.figure() import examples.deconvnet plt.draw() plt.pause(0.001) plt.figure() import examples.grad_cam_manual plt.draw() plt.pause(0.001) plt.figure() import examples.grad_cam plt.draw() plt.pause(0.001) plt.figure() import examples.contrastive_excitation_backprop_manual plt.draw() plt.pause(0.001) plt.figure() import examples.contrastive_excitation_backprop plt.draw() plt.pause(0.001) plt.figure() import examples.excitation_backprop_manual plt.draw() plt.pause(0.001) plt.figure() import examples.excitation_backprop plt.draw() plt.pause(0.001) plt.figure() import examples.guided_backprop_manual plt.draw() plt.pause(0.001) plt.figure() import examples.guided_backprop plt.draw() plt.pause(0.001) plt.figure() import examples.gradient_manual plt.draw() plt.pause(0.001) plt.figure() import examples.gradient plt.draw() plt.pause(0.001) plt.figure() import examples.rise plt.draw() plt.pause(0.001)

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null

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8

5653e9a04f933f878c922eea1b804b9ed3d63a3e

151

py

Python

django_sns_view/tests/__init__.py

SectorLabs/django-sns-view

ed664b401989db73e0b169c22071b6d1a83b559d

[ "MIT" ]

21

2018-01-07T06:02:35.000Z

2021-09-19T20:46:18.000Z

django_sns_view/tests/__init__.py

SectorLabs/django-sns-view

ed664b401989db73e0b169c22071b6d1a83b559d

[ "MIT" ]

4

2018-04-13T18:05:24.000Z

2021-02-18T08:48:59.000Z

django_sns_view/tests/__init__.py

SectorLabs/django-sns-view

ed664b401989db73e0b169c22071b6d1a83b559d

[ "MIT" ]

9

2018-04-13T16:53:09.000Z

2021-06-14T05:32:43.000Z

"""Tests for django-sns-view""" # pylint: disable=wildcard-import from django_sns_view.tests.views import * from django_sns_view.tests.utils import *

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1

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1

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8

56548e546a01664a38832055de6f33e404f49c92

174

py

Python

Week-1/Contest 1/Question 2.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

Week-1/Contest 1/Question 2.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

Week-1/Contest 1/Question 2.py

Dawit-Getachew/A2SV_Practice

2fe06d725e0acfe668c6dae98fe3ef6e6e26ef61

[ "MIT" ]

null

row = 4 for i in range(5): for k in range(i): print("*",end = " ") for k in range(2*(row - i)): print(" ",end = " ") for k in range(i): print("*",end = " ") print()

19.333333

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174

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1

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null

0

1

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7

566f58539071708125414734a986b9e2027429ef

169

py

Python

test.py

specbug/nnfs

ed17617483217ac308941468d9c0ec111bfdb4e9

[ "MIT" ]

null

test.py

specbug/nnfs

ed17617483217ac308941468d9c0ec111bfdb4e9

[ "MIT" ]

null

test.py

specbug/nnfs

ed17617483217ac308941468d9c0ec111bfdb4e9

[ "MIT" ]

null

import sys import os import numpy import matplotlib print(f'Python: {sys.version}') print(f'Numpy: {numpy.__version__}') print(f'Matplotlib: {matplotlib.__version__}')

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7

5670e8e3e10e9b7870b86b5b503f0097dc511df8

164,053

py

Python

dataParserScript_meanCurves_v3_specifyFolders.py

sagarsetru/msd_analysis_floA_floT

9e880d4a107fef44063faec7de32ea38175782ef

[ "MIT" ]

null

dataParserScript_meanCurves_v3_specifyFolders.py

sagarsetru/msd_analysis_floA_floT

9e880d4a107fef44063faec7de32ea38175782ef

[ "MIT" ]

null

dataParserScript_meanCurves_v3_specifyFolders.py

sagarsetru/msd_analysis_floA_floT

9e880d4a107fef44063faec7de32ea38175782ef

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Jan 17 14:54:40 2020 @author: sagarsetru plot MSD analysis for flo domains """ import pandas as pd import numpy as np import os import matplotlib.pyplot as plt from matplotlib.backends.backend_pdf import PdfPages import itertools import glob import pickle #%% def openFileList(fListTxtFile): with open(fListTxtFile) as f: txtFileList = f.readlines() txtFileList = [x.strip() for x in txtFileList] txtFileList.sort() return txtFileList #%% compute average MSD with 95% bootstrap confidence intervals def computeAverageAndBootstrap(fileList): # initialize lists to return values tausReturn = {} avgsReturn = {} btstrpciReturn = {} btstrpci2Return = {} stdReturn = {} nReturn = {} # loop through FloA, FloT files counter1 = 0 for mainFile in fileList: counter1 += 1 print('working on: '+mainFile) print('file',counter1,'out of',len(fileList)) print(' ') # get directory in which to save saveDir = os.path.split(mainFile)[0] baseFileName_w_ext = os.path.split(mainFile)[1] baseFileName = os.path.splitext(baseFileName_w_ext)[0] # get list of individual csv files csvFileList = openFileList(mainFile) # variable for max track length trackLengthMax = 0; # list for all deltaTaus deltaTaus = []; # list for all MSDs #msd_all = []; # loop through each individual csv file counter_nFiles = 0 for f in csvFileList: counter_nFiles += 1 # read the data into df tau_and_val = pd.read_csv(f,header=None) # get the shape of the df dataShape = tau_and_val.shape # get the length of this tracks msd trackLength = dataShape[0] # ignore any tracks that are only 1 entry long if trackLength == 1: print('This track is only one entry long. Ignoring.') print(f) print(' ') continue # get the max tracklength if trackLength > trackLengthMax: # print(trackLength) # print(f) trackLengthMax = trackLength #... # get the mean tau value for this data set tauMean = tau_and_val[0].diff().mean() # if np.isnan(tauMean): # print(f) # break # add to list of taus deltaTaus.append(tauMean) # get the msds # msd_all.append(tau_and_msd.iloc[:,1]) #... # check to make sure all deltaTaus are the same; first round deltaTaus = np.around(deltaTaus,decimals=1) if not np.all(deltaTaus==deltaTaus[0]): print('Not all delta tau values are the same!') break else: # use this value for tau (x axis) taus = np.cumsum(deltaTaus[0:trackLengthMax]) #... # np array for all values val_all = np.zeros((counter_nFiles,trackLengthMax)) # convert to nan val_all[:] = np.nan # add each msd to msd_all array (or vac) counter = -1 for f in csvFileList: counter += 1 # sparsify # if counter % 10 == 1: # read the msd and tau into df tau_and_val = pd.read_csv(f,header=None) # get the shape of the df dataShape = tau_and_val.shape # get the length of this tracks msd trackLength = dataShape[0] # ignore any tracks that are only 1 entry long if trackLength == 1: print('This track is only one entry long. Ignoring.') print(f) print(' ') continue # if trackLength == 17: # print(f) # test=tau_and_val[1] # break # get msd or vac val = tau_and_val[1] # remove spurious zeros # if 'vac' in mainFile: val=val[val!=0] #... # store values np array val_all[counter][0:len(val)] = val #... # get average value of msd at each tau val_mean = np.nanmean(val_all,axis=0) # remove remaining nan values val_mean = val_mean[~np.isnan(val_mean)] # adjust taus to compensate for removing nan values from mean taus = taus[0:np.shape(val_mean)[0]] # get the standard deviation val_std = np.nanstd(val_all,axis=0) # remove remaining nan values val_std = val_std[~np.isnan(val_std)] # get the number of samples (for standard error of mean) val_n = np.count_nonzero(~np.isnan(val_all),axis=0) # remove those which only have all nans, and so will have zero samples val_n = val_n[val_n!=0] # for bootstrap confidence intervals val_btstrpci = np.zeros((2,np.size(val_mean))) # get 95% bootstrap confidence intervals for i in range(0,np.size(val_mean)): #print(i) # get the values at this value of tau val = val_all[:,i] # remove nan values val = [x for x in val if not np.isnan(x)] # do bootstrap # define bootstrap parameters n = len(val) reps = 10000 # define bootstrap distribution btstrpDist = np.random.choice(val,(n,reps)) # calculate mean of bootstrap distribution btstrpMean = np.mean(btstrpDist,axis=0) btstrpMean.sort() btstrp_ci = np.percentile(btstrpMean,[2.5,97.5]) val_btstrpci[:,i] = btstrp_ci #... # make 2d array with taus and the average values val_mean = np.vstack((taus,val_mean.T)).T # make 2d array with taus and the bootstrap ci's # val_btstrpci = np.vstack((taus,val_btstrpci[0][:],val_btstrpci[1][:])).T val_btstrpci = np.vstack((taus,val_btstrpci)).T # for bootstrap conf ints across trajectories val_btstrpci_2 = np.zeros((2,np.shape(val_mean)[0])) # bootstrap parameters n_trajectories = np.shape(val_all)[0] # n_choose = 200 # n_choose = int(n_trajectories/2) n_choose = n_trajectories reps = 10000 # btstrpDist_2 = np.zeros((reps,np.shape(val_all)[1])) btstrpDist_2 = np.zeros((reps,np.shape(val_mean)[0])) # build bootstrap distribution for i in range(0,reps): # print(i) idx = np.random.randint(n_trajectories,size=n_choose) # btstrpDist_temp = val_all[idx,:] btstrpDist_temp = val_all[idx,0:np.shape(val_mean)[0]] # get average value of msd at each tau val_mean_temp = np.nanmean(btstrpDist_temp,axis=0) # add to btstrp dist btstrpDist_2[i,:] = val_mean_temp #... # get the mean from btstrp dist # btstrpDist_2_mean = np.mean(btstrpDist_2,axis=0) # get 95% bootstrap confidence intervals across trajectories for i in range(0,np.shape(btstrpDist_2)[1]): #print(i) # get the values at this value of tau val = btstrpDist_2[:,i] # sort the values val.sort() btstrp_ci = np.nanpercentile(val,[2.5,97.5]) val_btstrpci_2[:,i] = btstrp_ci #... # make 2d array with taus and the bootstrap ci's # val_btstrpci_2 = np.vstack((taus,val_btstrpci_2[0][:],val_btstrpci_2[1][:])).T val_btstrpci_2 = np.vstack((taus,val_btstrpci_2)).T # get the standard deviation from the bootstrap distribution # val_std_2 = np.nanstd(btstrpDist_2,axis=0) # plt.plot(val_mean[:,1]) # plt.plot(val_std_2) # plt.plot(val_std) ## plt.plot(val_std/val_n) # plt.plot(val_btstrpci[:,1]) # plt.plot(val_btstrpci[:,2]) ## plt.plot(val_btstrpci_2[:,1]) ## plt.plot(val_btstrpci_2[:,2]) # plt.plot(val_all.T) # plt.xscale('log') # plt.yscale('log') # matchAll={} # for a in idx: # matches = idx == a # matchAll[a] = np.sum(matches) # save taus, averaged , and 95% bootstrap conf ints to directory if 'msd' in mainFile: np.savetxt(saveDir+'/'+baseFileName+'_'+'avg_msd.csv',val_mean,delimiter=',') #np.savetxt(saveDir+'/'+baseFileName+'_'+'avg_msd_taus.csv',taus,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_95ci_msd.csv',val_btstrpci,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_95ci_acrossTraj_msd.csv',val_btstrpci_2,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_std_msd.csv',val_std,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_nSamples_msd.csv',val_n,delimiter=',') elif 'vac' in mainFile: np.savetxt(saveDir+'/'+baseFileName+'_'+'avg_vac.csv',val_mean,delimiter=',') #np.savetxt(saveDir+'/'+baseFileName+'_'+'avg_vac_taus.csv',taus,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_95ci_vac.csv',val_btstrpci,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_95ci_acrossTraj_msd.csv',val_btstrpci_2,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_std_vac.csv',val_std,delimiter=',') np.savetxt(saveDir+'/'+baseFileName+'_'+'btstrp_nSamples_vac.csv',val_n,delimiter=',') else: print('neither "vac" nor "msd" is in text file name of individual msds. fix!') break #... # plot each individual track # # axis font size # afs = 24 # # # tick font size # tfs = 18 # # # line width # lw = 2 # # plt.plot(val_all.T, linewidth=lw) # plt.xscale('log') # plt.yscale('log') # plt.xlabel(r'$\tau$ (s)',fontsize=afs) # plt.xticks(fontsize=tfs) # plt.yticks(fontsize=tfs) # # if 'msd' in mainFile: # plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) # plt.savefig(saveDir+'/'+baseFileName+'_allMSD.pdf',bbox_inches="tight") # # elif 'vac' in mainFile: # plt.ylabel(r'MSD (($\mu$m/s)$^2$)',fontsize=afs) # plt.savefig(saveDir+'/'+baseFileName+'_allVAC.pdf',bbox_inches="tight") #... # add values to list #tausReturn[mainFile] = taus avgsReturn[baseFileName] = val_mean btstrpciReturn[baseFileName] = val_btstrpci btstrpci2Return[baseFileName] = val_btstrpci_2 stdReturn[baseFileName] = val_std # stdReturn[baseFileName] = val_std_2 nReturn[baseFileName] = val_n # return tuple of taus, averaged values, and bootstrap confidence intervals return avgsReturn, btstrpciReturn, btstrpci2Return, stdReturn, nReturn #.. #%% def returnListForPlotting(dictToUse,keysToUse,indMain): # get the main dictionary mainDictList = dictToUse[keysToUse[indMain]] # retrun relevant values if len(keysToUse[indMain+1]) == 2: # get sub keys (e.g., for FloT vs FloA) subKey0 = keysToUse[indMain+1][0] subKey1 = keysToUse[indMain+1][1] # get the dictionaries dict_vals = mainDictList[0] dict_cis = mainDictList[1] dict_cis2 = mainDictList[2] dict_stds = mainDictList[3] dict_nSamples = mainDictList[4] # put into list returnList = [ dict_vals[subKey0], dict_cis[subKey0], dict_cis2[subKey0], dict_stds[subKey0], dict_nSamples[subKey0], subKey0, dict_vals[subKey1], dict_cis[subKey1], dict_cis2[subKey1], dict_stds[subKey1], dict_nSamples[subKey1], subKey1, ] # return the relevant quantities, with keys to use for labelling axes return returnList elif len(keysToUse[indMain+1]) == 1: # get sub keys (e.g., for FloT vs FloA) subKey0 = keysToUse[indMain+1][0] # get the dictionaries dict_vals = mainDictList[0] dict_cis = mainDictList[1] dict_cis2 = mainDictList[2] dict_stds = mainDictList[3] dict_nSamples = mainDictList[4] returnList = [ dict_vals[subKey0], dict_cis[subKey0], dict_cis2[subKey0], dict_stds[subKey0], dict_nSamples[subKey0], subKey0, ] # return the relevant quantities, with keys to use for labelling axes return returnList # retrun relevant values elif len(keysToUse[indMain+1]) == 9: # get sub keys (e.g., for FloT vs FloA) subKey0 = keysToUse[indMain+1][0] subKey1 = keysToUse[indMain+1][1] subKey2 = keysToUse[indMain+1][2] subKey3 = keysToUse[indMain+1][3] subKey4 = keysToUse[indMain+1][4] subKey5 = keysToUse[indMain+1][5] subKey6 = keysToUse[indMain+1][6] subKey7 = keysToUse[indMain+1][7] subKey8 = keysToUse[indMain+1][8] # get the dictionaries dict_vals = mainDictList[0] dict_cis = mainDictList[1] dict_cis2 = mainDictList[2] dict_stds = mainDictList[3] dict_nSamples = mainDictList[4] # put into list returnList = [ dict_vals[subKey0], dict_cis[subKey0], dict_cis2[subKey0], dict_stds[subKey0], dict_nSamples[subKey0], subKey0, dict_vals[subKey1], dict_cis[subKey1], dict_cis2[subKey1], dict_stds[subKey1], dict_nSamples[subKey1], subKey1, dict_vals[subKey2], dict_cis[subKey2], dict_cis2[subKey2], dict_stds[subKey2], dict_nSamples[subKey2], subKey2, dict_vals[subKey3], dict_cis[subKey3], dict_cis2[subKey3], dict_stds[subKey3], dict_nSamples[subKey3], subKey3, dict_vals[subKey4], dict_cis[subKey4], dict_cis2[subKey4], dict_stds[subKey4], dict_nSamples[subKey4], subKey4, dict_vals[subKey5], dict_cis[subKey5], dict_cis2[subKey5], dict_stds[subKey5], dict_nSamples[subKey5], subKey5, dict_vals[subKey6], dict_cis[subKey6], dict_cis2[subKey6], dict_stds[subKey6], dict_nSamples[subKey6], subKey6, dict_vals[subKey7], dict_cis[subKey7], dict_cis2[subKey7], dict_stds[subKey7], dict_nSamples[subKey7], subKey7, dict_vals[subKey8], dict_cis[subKey8], dict_cis2[subKey8], dict_stds[subKey8], dict_nSamples[subKey8], subKey8, ] # return the relevant quantities, with keys to use for labelling axes return returnList else: print('This dictionary list has more than 1 or 2 or 9 (eg for DltD, PBP3) elements.') print('This means more than two things were tracked in this experiment.') print('Investigate!') #... #... #%% def doPlotCondition(returnList,col,leg,lw,alphaVal,errorFormat): # get x values (tau) x = returnList[0][:,0] # get y values (msd or vac) y = returnList[0][:,1] yMin = np.min(y) yMax = np.max(y) yExt = np.array([yMin,yMax]) plt.plot(x,y,col,label=leg,linewidth=lw) if errorFormat == 'ci': # get lower confidence intervals ci_l = returnList[1][:,1] # get upper confidence intervals ci_u = returnList[1][:,2] plt.fill_between(x, ci_l, ci_u, alpha=alphaVal,facecolor=col) elif errorFormat == 'ci2': # get lower confidence intervals (across trajectories) ci_l = returnList[2][:,1] # get upper confidence intervals (across trajectories) ci_u = returnList[2][:,2] plt.fill_between(x, ci_l, ci_u, alpha=alphaVal,facecolor=col) elif errorFormat == 'std': # get the standard deviation std = returnList[3] plt.fill_between(x, y-std, y+std,alpha=alphaVal,facecolor=col) elif errorFormat == 'sem': # get the sem sem = returnList[3]/np.sqrt(returnList[4]) plt.fill_between(x, y-sem, y+sem,alpha=alphaVal,facecolor=col) else: print('errorFormat string should be "ci" or "ci2" or "std" or "sem"!') #... return yExt,x,y #%% #dirs_all = [ #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m+LBO2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m-LBO2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mAmp', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mBnz', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlBNZ', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mEPI_MAD', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mEPI_WU', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mFos', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mNis', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mProtoplasts', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlProtoplasts', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTIRF100-0.2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTIRF35-0.3', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTun', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mVal', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mVan', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆dlt', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆mreB', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆mreB:BH:mbl', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆pbpC', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrl∆pbpC', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sDMSO', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sTunWTA', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/spH8.1', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆dlt+Mg', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆dltA', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆flotillin', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆rsgI', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆tagU', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆ugtP', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/FloAntTct', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/FloTntAct', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/MreB', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/PBP3', #] #dirs_all = [ #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m+LBO2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m-LBO2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mAmp', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlAmp', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mBnz', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlBNZ', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mEPI_MAD', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mEPI_WU', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mFos', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlFos', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mNis', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlNis', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mProtoplasts', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlProtoplasts', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTIRF100-0.2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTIRF35-0.3', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mTun', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlTun', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrlTunWTA', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mVal', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlVal', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mVan', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrlVan', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆dlt', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrl∆dlt', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆mreB', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆mreB:BH:mbl', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆rsgI', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆rsgI-2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrl∆rsgI-2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/m∆pbpC', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/mCtrl∆pbpC', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sDMSO', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrlDMSO', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sTunWTA', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/spH8.1', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆dlt+Mg', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆dltA', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆flotillin', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrl∆flotillin', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆tagU', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrl∆tagU', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/s∆ugtP', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/sCtrl∆utgP', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/FloAntTct', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/FloTntAct', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/DltD', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/PBP3-2', #'/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/MreB', #] dirs_all = [ '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Amp10min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Amp30min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Amp90min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Fos10min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Fos30min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Fos90min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Nis10min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Nis30min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Nis90min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Tun10min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Tun30min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Tun90min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Van10min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Van30min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/Van90min', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/AmpCtrl', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FosCtrl', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/NisCtrl', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/TunCtrl', '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/VanCtrl', ] #mainDir = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/PBP3' #mainDir = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins' # where to save misc files baseDir = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis' os.chdir(baseDir) #%% # dictionary for msds # each value in dictionary is a list of length two, keyed by the experimental condition # each element of list is a dictionary # list[0] = avg vals; list[1] = 95% conf. ints.; list[2] = std dev; list[3] = nSamples; # that is, # the zeroth element of each list is the avg vals keyed by condition (eg FloA or FloT) # the first element of each list is the 95% conf. ints. keyed by condition (eg FloA or FloT) # the second elemenet is the std dev # the third element is the nSamples msd_dict = {} keys_msd_dict = [] # dictionary for vacs, follows same structure vac_dict = {} keys_vac_dict = [] counter = 0 for mainDir in dirs_all: counter += 1 print('WORKING ON directory',counter,'out of',len(dirs_all)) # print(mainDir) # get key to use for dictionary dict_key = os.path.split(mainDir)[1] print(dict_key) ## FOR VACS # update list of keys keys_vac_dict.append(dict_key) print('vac') # get msd file list fileList = glob.glob(mainDir+'/*vacTracks.txt') # get avg vacs and cis and std and nsamples avgs, cis, cis_traj, stds, nSamples = computeAverageAndBootstrap(fileList) # load msd dictionary vac_dict[dict_key] = [avgs,cis,cis_traj,stds,nSamples] # update list of keys with keys of internal dictionary keys_vac_dict.append(list(avgs)) print(list(avgs)) print(' ') ## FOR MSDS # update list of keys keys_msd_dict.append(dict_key) # get msd file list fileList = glob.glob(mainDir+'/*msdTracks.txt') print('msd') # get avg msds and cis and std and nsamples avgs, cis, cis_traj, stds, nSamples = computeAverageAndBootstrap(fileList) # load msd dictionary msd_dict[dict_key] = [avgs,cis,cis_traj,stds,nSamples] # update list of keys with keys of internal dictionary keys_msd_dict.append(list(avgs)) print(list(avgs)) #... #%% get msd file list for all FloA fileList = ['/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloA_ctrl_msdFiles_list.txt'] f = open(fileList[0],"r") contents = f.read().splitlines() all_FloA = [] for c in contents: f2 = open(c,"r") contents2 = f2.read().splitlines() all_FloA.append(contents2) #... fileToWrite_FloA = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloA_ctrl_msd.txt' all_FloA = list(itertools.chain.from_iterable(all_FloA)) with open(fileToWrite_FloA, 'w') as f: for item in all_FloA: f.write("%s\n" % item) #%% get msd file list for all FloT fileList = ['/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloT_ctrl_msdFiles_list.txt'] f = open(fileList[0],"r") contents = f.read().splitlines() all_FloT = [] for c in contents: f2 = open(c,"r") contents2 = f2.read().splitlines() all_FloT.append(contents2) #... fileToWrite_FloT = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloT_ctrl_msd.txt' all_FloT = list(itertools.chain.from_iterable(all_FloT)) with open(fileToWrite_FloT, 'w') as f: for item in all_FloT: f.write("%s\n" % item) #%% for all floa control dict_key = 'FloA_allCtrl' # update list of keys keys_msd_dict.append(dict_key) fileList = ['/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloA_ctrl_msd.txt'] # get avg msds and cis and std and nsamples avgs, cis, cis_traj, stds, nSamples = computeAverageAndBootstrap(fileList) # load msd dictionary msd_dict[dict_key] = [avgs,cis,cis_traj,stds,nSamples] # update list of keys with keys of internal dictionary keys_msd_dict.append(list(avgs)) print(list(avgs)) #%% for all flot control dict_key = 'FloT_allCtrl' # update list of keys keys_msd_dict.append(dict_key) fileList = ['/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/Flotillins/FloT_ctrl_msd.txt'] # get avg msds and cis and std and nsamples avgs, cis, cis_traj, stds, nSamples = computeAverageAndBootstrap(fileList) # load msd dictionary msd_dict[dict_key] = [avgs,cis,cis_traj,stds,nSamples] # update list of keys with keys of internal dictionary keys_msd_dict.append(list(avgs)) print(list(avgs)) #counter = 0 #for mainDir in dirs_all: # # counter += 1 # print('WORKING ON directory',counter,'out of',len(dirs_all)) ## print(mainDir) # # get key to use for dictionary # dict_key = os.path.split(mainDir)[1] # print(dict_key) # # ## FOR MSDS # # # update list of keys # keys_msd_dict.append(dict_key) # # # get msd file list # fileList = glob.glob(mainDir+'/*msdTracks.txt') # print(fileList) #%% save dictionaries and lists of keys via pickle pklFile = baseDir+'msd_vac_dicts_keys.pkl' with open(pklFile, 'wb') as f: pickle.dump([msd_dict,keys_msd_dict,vac_dict,keys_vac_dict],f) #... ## DUMMY VARIABLES #dict_msd = msd_dict #keys_dict_msd = keys_msd_dict #dict_vac = vac_dict #keys_dict_vac = keys_vac_dict #%% txtDictFile = baseDir+'msd_data_all.txt' #import json # #with open(txtDictFile,'w') as file: # file.write(json.dumps(msd_dict)) with open(txtDictFile, 'w') as f: for key, value in msd_dict.items(): f.write('%s:%s\n' % (key, value[4])) #%% TO RELOAD DICTIONARIES AND LISTS OF KEYS baseDir = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis' pklFile = baseDir+'msd_vac_dicts_keys.pkl' with open(pklFile, 'rb') as f: # Python 3: open(..., 'rb') # f.open(pklFile,'rb') msd_dict, keys_msd_dict, vac_dict, keys_vac_dict = pickle.load(f) #... #%% save dictionaries for antibiotic time course via pickle pklFile = baseDir+'msd_vac_dicts_keys_antibioticTimeCourse.pkl' with open(pklFile, 'wb') as f: pickle.dump([msd_dict,keys_msd_dict,vac_dict,keys_vac_dict],f) #... #%% TO RELOAD DICTIONARIES AND LISTS OF KEYS for antibiotic time course baseDir = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis' pklFile = baseDir+'msd_vac_dicts_keys_antibioticTimeCourse.pkl' with open(pklFile, 'rb') as f: # Python 3: open(..., 'rb') # f.open(pklFile,'rb') msd_dict, keys_msd_dict, vac_dict, keys_vac_dict = pickle.load(f) #%% txtDictFile = baseDir+'/antibioticTimeCourse/msd_data_all.txt' with open(txtDictFile, 'w') as f: for key, value in msd_dict.items(): f.write('%s:%s\n' % (key, value[4])) #%% # choose plot colors col1 = '#0004ff' col2 = '#ff0000' col3 = '#00fffb' col4 = '#e600ff' # choose plot colors colCyan = '#00fffb' #col3 = '#00fffb' colMagenta = '#e600ff' #col4 = '#e600ff' colRed = '#ff0000'#col1 = '#0004ff' colBlue = '#0004ff'#col2 = '#ff0000' colBlack = '#000000' #%% for all simple plots (control plus experiment, floA, floT) infoLists = [ [[0,2],['FloA +LBO2','FloT +LBO2','FloA -LBO2','FloT -LBO2'],[colMagenta,colCyan,colRed,colBlue]], [[4,6],['FloA Amp','FloT Amp','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[8,10],['FloT BNZ','FloA BNZ','FloA Control','FloT Control'],[colBlue,colRed,colMagenta,colCyan]], [[16,18],['FloA Fos','FloT Fos','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[20,22],['FloA Nis','FloT Nis','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[24,26],['FloT Protoplats','FloA Protoplasts','FloA Control','FloT Control'],[colBlue,colRed,colMagenta,colCyan]], [[32,34],['FloA Tun','FloT Tun','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[38,40],['FloT Val','FloA Val','FloA Control','FloT Control'],[colBlue,colRed,colMagenta,colCyan]], [[42,44],['FloA Van','FloT Van','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[46,48],['FloT ∆dlt','FloA ∆dlt','FloA Control','FloT Control'],[colBlue,colRed,colMagenta,colCyan]], [[52,54],['FloT ∆mreB ∆BH ∆mbl','FloA ∆mreB ∆BH ∆mbl','FloT ∆rsgI','FloA ∆rsgI'],[colBlue,colRed,colCyan,colMagenta]], [[56,58],['FloA ∆rsgI','FloT ∆rsgI','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[60,62],['FloA ∆pbpC','FloT ∆pbpC','FloT Control','FloA Control'],[colRed,colBlue,colCyan,colMagenta]], [[64,66],['FloT DMSO','FloA DMSO','FloT Control','FloA Control'],[colBlue,colRed,colCyan,colMagenta]], [[68,36],['FloT TunWTA','FloA TunWTA','FloA Control','FloTControl'],[colBlue,colRed,colMagenta,colCyan]], [[76,78],['FloA ∆flotillin','FloT ∆flotillin','FloA Control','FloT Control'],[colRed,colBlue,colMagenta,colCyan]], [[80,82],['FloA ∆tagU','FloT ∆tagU','FloA Control','FloT Control'],[colRed,colBlue,colMagenta,colCyan]], [[84,86],['FloT ∆ugtP','FloA ∆ugtP','FloA Control','FloT Control'],[colBlue,colRed,colMagenta,colCyan]], ] # TO CHECK: # -keys_msd_dict[50] (m delta mreB) # -[70], spH*.1 # -[72], s delta dlt+Mg # -[74], s dleta dltA # -[92], mreb # -[94], PBP3 doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col1 = '#0004ff' col2 = '#ff0000' col3 = '#00fffb' col4 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # get plot colors col = infoList[2] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting # yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) # # yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col2,legEntries[1],lw,alphaVal,errorFormat) # # yExt3,x3,y3 = doPlotCondition(returnList_2[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) # # yExt4,x4,y4 = doPlotCondition(returnList_2[6:11],col4,legEntries[3],lw,alphaVal,errorFormat) yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col[0],legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col[1],legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_2[0:5],col[2],legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_2[6:11],col[3],legEntries[3],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) # plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... plt.clf() #... #%% for antibiotic timecourse data doSave = 1 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for i in range(0,len(keys_msd_dict),2): counter += 1 infoKey = keysToUse[i] print(infoKey) print('key:') print(counter) print(' ') # get lists with msd info returnList = returnListForPlotting(dictToUse,keysToUse,i) # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get init x values (tau) x1 = returnList[0][0,0] # get init y values (msd) y1 = returnList[0][0,1] # get init D D1 = y1/(4*x1) # get sem D1_err = (returnList[3][0]/returnList[4][0])/(4*x1) # D1_err = (returnList[3][0]/returnList[4][0])/(4*x1) # get id of track for save string ID1 = returnList[5] print(D1) print(D1_err) # print(returnList[3][0]) # print(returnList[4][0]) print(' ') # get x values (tau) x2 = returnList[6][0,0] # get y values (msd or vac) y2 = returnList[6][0,1] # get init D D2 = y2/(4*x2) # get ID of track for save string ID2 = returnList[11] # get sem D2_err = (returnList[9][0]/returnList[10][0])/(4*x1) print(D2) print(D2_err) # print(returnList[9][0]) # print(returnList[10][0]) print(' ') if doSave: txtDictFile = baseDir+'/antibioticTimeCourse/'+ID1+'_D.txt' with open(txtDictFile, 'w') as f: f.write('%s:%s\n' % (ID1, D1)) txtDictFile = baseDir+'/antibioticTimeCourse/'+ID2+'_D.txt' with open(txtDictFile, 'w') as f: f.write('%s:%s\n' % (ID2, D2)) txtDictFile = baseDir+'/antibioticTimeCourse/'+ID1+'_D_err_sem.txt' with open(txtDictFile, 'w') as f: f.write('%s:%s\n' % (ID1, D1_err)) txtDictFile = baseDir+'/antibioticTimeCourse/'+ID2+'_D_err_sem.txt' with open(txtDictFile, 'w') as f: f.write('%s:%s\n' % (ID2, D2_err)) # # get lists with plotting info # returnList_2 = returnListForPlotting(dictToUse,keysToUse,i) #%% additional plots (see email from Rabea) #%% just floa, flot controls infoLists = [ [[98,100],['FloA','FloT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col2 = '#00fffb' col1 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% just floa, flot controls PLAYING AROUND infoLists = [ [[98,100],['FloA','FloT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col2 = '#00fffb' col1 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b exp = 0.5 ytest3 = (np.power(xtest3,exp))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) # plt.xscale('log') # plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) # plt.xlim(.001,.2) plt.ylim(.001,.05) plt.xlim(x[0]-.05,x[-1]+1) # plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% chimera plots infoLists = [ [[90,88,100,98],['FloTntAct','FloAntTct','FloT','FloA']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col1 = '#0004ff' col2 = '#ff0000' col3 = '#00fffb' col4 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # get lists with plotting info returnList_3 = returnListForPlotting(dictToUse,keysToUse,indsMain[2]) # get lists with plotting info returnList_4 = returnListForPlotting(dictToUse,keysToUse,indsMain[3]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_3[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_4[0:5],col4,legEntries[3],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% chimera plots infoLists = [ [[90,88,100,98],['FloTntAct','FloAntTct','FloT','FloA']], ] doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col2 = '#0004ff' col1 = '#ff0000' col3 = '#00fffb' col4 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # get lists with plotting info returnList_3 = returnListForPlotting(dictToUse,keysToUse,indsMain[2]) # get lists with plotting info returnList_4 = returnListForPlotting(dictToUse,keysToUse,indsMain[3]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_3[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_4[0:5],col4,legEntries[3],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_colSwapped.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_colSwapped_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% # # # # #%% pbp3 original mtirf35 DEPRECEATED #infoLists = [ # [[102,30],['PBP3','FloA','FloT']], # ] # #doSave = 0 #saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # ## legend font size #lfs = 10 ## axis font size #afs = 24 ## tick font size #tfs = 18 ## line width #lw = 2 # ## choose plot colors #col3 = '#00fffb' #col2 = '#e600ff' #col1 = '#000000' # ## choose the dictionary and associated list of keys(msd or vac) #dictToUse = msd_dict #keysToUse = keys_msd_dict # ## pick opacity for shade plot #alphaVal = 0.25 # ## pick error format #errorFormat = 'ci' ##errorFormat = 'sem' ##errorFormat = 'std' # #counter = 0 #for infoList in infoLists: # # counter += 1 # # print(infoList) # print('info list:') # print(counter) # print(' ') # # get indices # indsMain = infoList[0] # # # get legend entires # legEntries = infoList[1] # # # define filename as string of legend entries # fname = legEntries[0].replace(" ","")+'_'\ # +legEntries[1].replace(" ","")+'_'\ # +legEntries[2].replace(" ","") # # ## returnList = [ ## dict_vals[subKey0], ## dict_cis[subKey0], ## dict_cis2[subKey0], ## dict_stds[subKey0], ## dict_nSamples[subKey0], ## subKey0, ## ] # # # get lists with plotting info # returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # # # get lists with plotting info # returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # # # do plotting # # yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) # # yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) # # yExt3,x3,y3 = doPlotCondition(returnList_2[6:11],col3,legEntries[2],lw,alphaVal,errorFormat) # # # # get min and max y # yExt = np.concatenate((yExt1,yExt2),axis=0) # yMin = np.min(yExt) # yMax = np.max(yExt) # # # get array for x values # x = x1 # # # for reference curves # xMin = 0 # xMax = -1 # #multFactor = yMax # # # adjust start # multFactorX = 1 # multFactorY1 = .07 # multFactorY2 = .3 # multFactorY3 = .032 # #multFactorY1 = .1 # #multFactorY2 = 1 # xDelta = .1 # # # adjusts end of ref line # xMaxOffset1 = 0 # xMaxOffset2 = .8 # xMaxOffset3 = 0 # # xMinScale = .6 # # xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX # xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX # xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX # # #b = np.min(x)+.1 # #b=10e-2 # #b=yMax # #b=xtest1[0]-(xtest1[0]-.001) # b=0 # #xtest2[0] = x[0] # ytest1 = (xtest1+b)*multFactorY1 # #ytest1 = ytest1-ytest1[0]+y[0]+b # ytest2 = (np.square(xtest2)+b)*multFactorY2 # #ytest2 = ytest2-ytest2[0]+y[0]+b # ytest3 = (np.power(xtest3,0.5))*multFactorY3 # # iSt = 0; # plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) # plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) # plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) # # plt.xscale('log') # plt.yscale('log') # # plt.xlabel(r'$\tau$ (s)',fontsize=afs) # plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) # # plt.xticks(fontsize=tfs) # plt.yticks(fontsize=tfs) # plt.xlim(x[0]-.05,x[-1]+1) # plt.ylim(.001,.2) # # # # if doSave: # plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_orig.pdf',bbox_inches="tight") # #... # # plt.legend(loc=4,frameon=False,fontsize=lfs) # # if doSave: # plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_orig_withLegend.pdf',bbox_inches="tight") # #... # ## plt.clf() #%% pbp3 mtirf35 infoLists = [ [[94,30],['PBP3','FloA','FloT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col3 = '#00fffb' col2 = '#e600ff' col1 = '#000000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[47-5:47],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_2[6:11],col3,legEntries[2],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% pbp3 delta floa delta flot infoLists = [ [[94],['PBP3 Ctrl','∆floA','∆floT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col3 = '#00fffb' col2 = '#e600ff' col1 = '#000000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[47-5:47],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[35-5:35],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_1[41-5:41],col3,legEntries[2],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% pbp3 antibiotic plots infoLists = [ [[94],['PBP3 Ctrl','Amp','Fos','Tun','Van']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col4 = '#0004ff' col5 = '#ff0000' col3 = '#00fffb' col2 = '#e600ff' col1 = '#000000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","")+'_'\ +legEntries[4].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting #['PBP3 Ctrl','Amp','Fos','Tun','Van'] yExt1,x1,y1 = doPlotCondition(returnList_1[47-5:47],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_1[24:29],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_1[12:17],col4,legEntries[3],lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_1[0:5],col5,legEntries[4],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% pbp3 cells protoplasts infoLists = [ [[94],['PBP3 cells','PBP3 protoplasts']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col2 = '#0004ff' col1 = '#ff0000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[48:53],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[18:23],col2,legEntries[1],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") # plt.clf() #%% # # # # #%% dltd delta floa delta flot infoLists = [ [[92],['DltD Ctrl','∆floA','∆floT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col3 = '#00fffb' col2 = '#e600ff' col1 = '#000000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting # ['DltD Ctrl','∆floA','∆floT'] yExt1,x1,y1 = doPlotCondition(returnList_1[47-5:47],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[35-5:35],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_1[41-5:41],col3,legEntries[2],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% dltd antibiotic plots infoLists = [ [[92],['DltD Ctrl','Amp','Fos','Tun','Van']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col4 = '#0004ff' col5 = '#ff0000' col3 = '#00fffb' col2 = '#e600ff' col1 = '#000000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","")+'_'\ +legEntries[4].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting # [[92],['DltD Ctrl','Amp','Fos','Tun','Van'] yExt1,x1,y1 = doPlotCondition(returnList_1[47-5:47],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_1[24:29],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_1[12:17],col4,legEntries[3],lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_1[0:5],col5,legEntries[4],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% dltd cells protoplasts infoLists = [ [[92],['DltD cells','DltD protoplasts']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col2 = '#0004ff' col1 = '#ff0000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[48:53],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[18:23],col2,legEntries[1],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% FloT plots infoLists = [ [[48,46,72,74,70],['FloT Ctrl','∆dlt','∆dlt + Mg','∆dlt','pH8.1']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col1 = '#000000' col2 = '#0004ff' col3 = '#ff0000' col4 = '#00fffb' col5 = '#e600ff' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","")+'_'\ +legEntries[4].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # get lists with plotting info returnList_3 = returnListForPlotting(dictToUse,keysToUse,indsMain[2]) # get lists with plotting info returnList_4 = returnListForPlotting(dictToUse,keysToUse,indsMain[3]) # get lists with plotting info returnList_5 = returnListForPlotting(dictToUse,keysToUse,indsMain[4]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[6:11],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_3[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_4[0:5],col4,legEntries[3],lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_5[0:5],col5,legEntries[4],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegends.pdf',bbox_inches="tight") #... # plt.clf() #%% # # # # #%% MreB# and mtirf35 infoLists = [ [[96,30],['MreB Protoplasts','MreB Cells','FloA','FloT']], ] doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col4 = '#00fffb' col3 = '#e600ff' col1 = '#0004ff' col2 = '#ff0000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","")+'_'\ +legEntries[3].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col2,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_2[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_2[6:11],col4,legEntries[3],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) # plt.xlim(x[0]-.05,x[-1]+1) plt.xlim(x[0]-.05,13) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() # # # # #%% MreB# and mtirf35 infoLists = [ [[96,30],['MreB Cells','FloA','FloT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col4 = '#00fffb' col3 = '#e600ff' col1 = '#0004ff' col2 = '#ff0000' # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","")+'_'\ +legEntries[2].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # get lists with plotting info returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[6:11],colBlack,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_2[0:5],colMagenta,legEntries[1],lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_2[6:11],colCyan,legEntries[2],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) # plt.xlim(x[0]-.05,x[-1]+1) plt.xlim(x[0]-.05,13) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_withLegend.pdf',bbox_inches="tight") #... # plt.clf() # # # # #%% mtirf100 infoLists = [ [[32],['FloA','FloT']], ] doSave = 0 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose plot colors col1 = colMagenta col2 = colCyan # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' counter = 0 for infoList in infoLists: counter += 1 print(infoList) print('info list:') print(counter) print(' ') # get indices indsMain = infoList[0] # get legend entires legEntries = infoList[1] # define filename as string of legend entries fname = legEntries[0].replace(" ","")+'_'\ +legEntries[1].replace(" ","") # returnList = [ # dict_vals[subKey0], # dict_cis[subKey0], # dict_cis2[subKey0], # dict_stds[subKey0], # dict_nSamples[subKey0], # subKey0, # ] # get lists with plotting info returnList_1 = returnListForPlotting(dictToUse,keysToUse,indsMain[0]) # # get lists with plotting info # returnList_2 = returnListForPlotting(dictToUse,keysToUse,indsMain[1]) # do plotting yExt1,x1,y1 = doPlotCondition(returnList_1[0:5],col1,legEntries[0],lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_1[6:11],col2,legEntries[1],lw,alphaVal,errorFormat) # yExt3,x3,y3 = doPlotCondition(returnList_2[0:5],col3,legEntries[2],lw,alphaVal,errorFormat) # # yExt4,x4,y4 = doPlotCondition(returnList_2[6:11],col4,legEntries[3],lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(.001,.2) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_tirf100.pdf',bbox_inches="tight") #... plt.legend(loc=4,frameon=False,fontsize=lfs) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'_tirf100_withLegend.pdf',bbox_inches="tight") #... # plt.clf() #%% all below DEPRECATED # # # # # # # #%% plotting DEPRECATED # inds for m epi mad m_epi_mad_ind = 0 # get the d m_epi_mad_all = msd_dict[keys_msd_dict[m_epi_mad_ind]] #%% plotting, control doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'control_epi_mad_FloA_FloT' # legend font size lfs = 14 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 #mainDictList = dictToUse[keysToUse[indMain]] # set the index of the relevant experiment # for m epi mad control indMain = 8 #indMain = 0 # for debugging # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) x=returnList_epiMadCtrl[0] # choose plot colors col1 = '#00fffb' col2 = '#e600ff' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'ci2' #errorFormat = 'std' # legend names leg1 = 'FloT' leg2 = 'FloA' # do plotting #yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:4],col1,leg1,lw,alphaVal,errorFormat) yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) #yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[5:9],col2,leg2,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for benzyl alcohol expts doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'bnz_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment # for m epi mad control indMain = 8 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for benzyl alcohol indMain = 6 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_bnz = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloT BNZ' leg4 = 'FloA BNZ' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_bnz[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_bnz[6:11],col4,leg4,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% benzyl alcohol version 2 doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'bnz_vs_mCtrlBNZ_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment # for m epi mad control indMain = 10 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for mctrl bnz indMain = 8 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_CtrlBnz = returnListForPlotting(dictToUse,keysToUse,indMain) # for benzyl alcohol indMain = 6 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_bnz = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' col5 = '#00ab03' col6 = '#d68800' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT global control' leg2 = 'FloA global control' leg3 = 'FloT BNZ' leg4 = 'FloA BNZ' leg5 = 'FloA BNZ control' leg6 = 'FloT BNZ control' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_CtrlBnz[0:5],col5,leg5,lw,alphaVal,errorFormat) yExt6,x6,y6 = doPlotCondition(returnList_CtrlBnz[6:11],col6,leg6,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_bnz[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_bnz[6:11],col4,leg4,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% delta pbpc version 2 doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'delta_pbpc_vs_mCtrlPbpc_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment # for m epi mad control indMain = 10 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for mctrl delta pbpc indMain = 40 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_CtrlDeltaPbpc = returnListForPlotting(dictToUse,keysToUse,indMain) # for delta pbpc indMain = 38 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_delta_pbpc = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' col5 = '#00ab03' col6 = '#d68800' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT global control' leg2 = 'FloA global control' leg3 = 'FloA ∆pbpC' leg4 = 'FloT ∆pbpC' leg5 = 'FloT ∆pbpC control' leg6 = 'FloA ∆pbpC control' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_CtrlDeltaPbpc[0:5],col5,leg5,lw,alphaVal,errorFormat) yExt6,x6,y6 = doPlotCondition(returnList_CtrlDeltaPbpc[6:11],col6,leg6,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_delta_pbpc[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_delta_pbpc[6:11],col4,leg4,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% protoplasts version 2 doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'protoplasts_vs_mCtrlProtoplasts_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment # for m epi mad control indMain = 10 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for mctrl delta pbpc indMain = 20 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_CtrlProtoplasts = returnListForPlotting(dictToUse,keysToUse,indMain) # for protoplasts indMain = 18 dictToUse = msd_dict keysToUse = keys_msd_dict returnList_protoplasts = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' col5 = '#00ab03' col6 = '#d68800' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT global control' leg2 = 'FloA global control' leg3 = 'FloT protoplasts' leg4 = 'FloA protoplasts' leg5 = 'FloA protoplasts control' leg6 = 'FloT protoplasts control' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_CtrlProtoplasts[0:5],col5,leg5,lw,alphaVal,errorFormat) yExt6,x6,y6 = doPlotCondition(returnList_CtrlProtoplasts[6:11],col6,leg6,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_protoplasts[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_protoplasts[6:11],col4,leg4,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for delta mreb, bh, mbl version 2 doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'delta_mreb_bh_mbl_vs_control_s_delta_rsgI' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 10 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for m epi mad control indMain = 54 returnList_s_delta_rsgI = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 36 returnList_delta_mreb_bh_mbl = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' col5 = '#00ab03' col6 = '#d68800' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg5 = 'FloT ∆rsgI' leg6 = 'FloA ∆rsgI' leg3 = 'FloT ∆mreB ∆mreBH ∆mbl' leg4 = 'FloA ∆mreB ∆mreBH ∆mbl' leg1 = 'FloT global control' leg2 = 'FloA global control' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_s_delta_rsgI[0:5],col5,leg5,lw,alphaVal,errorFormat) yExt6,x6,y6 = doPlotCondition(returnList_s_delta_rsgI[6:11],col6,leg6,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_delta_mreb_bh_mbl[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_delta_mreb_bh_mbl[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for lbo doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'm_plus_lbo_vs_m_minus_lbo_vs_ctrl_epi_MAD' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 0 returnList_mPlusLbo = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 2 returnList_mMinusLbo = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' col5 = '#00ab03' col6 = '#d68800' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA +LBO2' leg4 = 'FloT +LBO2' leg5 = 'FloA -LBO2' leg6 = 'FloT -LBO2' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_mPlusLbo[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_mPlusLbo[6:11],col4,leg4,lw,alphaVal,errorFormat) yExt5,x5,y5 = doPlotCondition(returnList_mMinusLbo[0:5],col5,leg5,lw,alphaVal,errorFormat) yExt6,x6,y6 = doPlotCondition(returnList_mMinusLbo[6:11],col6,leg6,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for delta pbpc doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'delta_pbpc_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) returnList_ctrl indMain = 38 returnList_delta_pbpC = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA, ∆pbpC' leg4 = 'FloT, ∆pbpC' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_delta_pbpC[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_delta_pbpC[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for chimeric constructs doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'chimeras_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for FloAntTct indMain = 88 returnList_FloAntTct = returnListForPlotting(dictToUse,keysToUse,indMain) # for FloTntAct indMain = 90 returnList_FloTntAct = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloAntTct' leg4 = 'FloTntAct' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_FloAntTct[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_FloTntAct[0:5],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for delta dlt doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'delta_dlt_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 28 returnList_delta_dlt = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloT, ∆dltA-E' leg4 = 'FloA, ∆dltA-E' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_delta_dlt[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_delta_dlt[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for protoplasts doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'protoplasts_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 16 returnList_protoplasts = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloT, protoplasts' leg4 = 'FloA, protoplasts' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_protoplasts[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_protoplasts[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for delta mreb, bh, mbl doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'delta_mreb_bh_mbl_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 32 returnList_delta_mreb_bh_mbl = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloT, ∆mreB, ∆mreBH, ∆mbl' leg4 = 'FloA, ∆mreB, ∆mreBH, ∆mbl' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_delta_mreb_bh_mbl[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_delta_mreb_bh_mbl[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% plotting, control TIRF doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'control_tirf_FloA_FloT' # legend font size lfs = 14 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment indMain = 18 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_tirf100Ctrl = returnListForPlotting(dictToUse,keysToUse,indMain) x=returnList_tirf100Ctrl[0] # choose plot colors col1 = '#00fffb' col2 = '#e600ff' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT' leg2 = 'FloA' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_tirf100Ctrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_tirf100Ctrl[6:11],col2,leg2,lw,alphaVal,errorFormat) # get min and max y yExt = np.concatenate((yExt1,yExt2),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for fos doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'fos_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 12 returnList_fos = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA, fos' leg4 = 'FloT, fos' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_fos[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_fos[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for tun doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'tun_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 22 returnList_tun = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA, tun' leg4 = 'FloT, tun' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_tun[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_tun[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for amp doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'amp_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 4 returnList_amp = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA, amp' leg4 = 'FloT, amp' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_amp[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_amp[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for amp doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' fname = 'van_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict # set the index of the relevant experiment # for m epi mad control indMain = 8 returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) indMain = 26 returnList_van = returnListForPlotting(dictToUse,keysToUse,indMain) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' leg3 = 'FloA, van' leg4 = 'FloT, van' # do plotting yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_van[0:5],col3,leg3,lw,alphaVal,errorFormat) yExt4,x4,y4 = doPlotCondition(returnList_van[6:11],col4,leg4,lw,alphaVal,errorFormat) #% # get min and max y yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: print('SAVING') plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... #%% for other data/supplemental figures #indsAlreadyUsed = [8, 6, 54, 56, 34, 28, 16, 32, 18, 12, 22, 4, 26] doSave = 1 saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' for i in range(0,len(keysToUse),2): # if i in indsAlreadyUsed: # continue #... print(i) # doSave = 1 # saveDirPlot = '/Users/sagarsetru/Documents/Princeton/wingreen/for NED/analysis/figures/' domainsTracked = keysToUse[i+1] if len(domainsTracked) == 2: if 'FloA' in domainsTracked[0]: leg3 = 'FloA '+keysToUse[i][1:] elif 'FloT' in domainsTracked[0]: leg3 = 'FloT '+keysToUse[i][1:] else: leg3 = domainsTracked[0].split('_')[0]+' '+keysToUse[i] if 'FloA' in domainsTracked[1]: leg4 = 'FloA '+keysToUse[i][1:] elif 'FloT' in domainsTracked[1]: leg4 = 'FloT '+keysToUse[i][1:] else: leg4 = domainsTracked[1].split('_')[0]+' '+keysToUse[i] #... elif len(domainsTracked) == 1: if 'FloA' in domainsTracked[0]: leg3 = 'FloA '+keysToUse[i][1:] elif 'FloT' in domainsTracked[0]: leg3 = 'FloA '+keysToUse[i][1:] else: leg3 = domainsTracked[0].split('_')[0]+' '+keysToUse[i] #... #... fname = keysToUse[i]+'_vs_control_epi_mad_FloA_FloT' # legend font size lfs = 10 # axis font size afs = 24 # tick font size tfs = 18 # line width lw = 2 # set the index of the relevant experiment # for m epi mad control indMain = 10 # choose the dictionary and associated list of keys(msd or vac) dictToUse = msd_dict keysToUse = keys_msd_dict returnList_epiMadCtrl = returnListForPlotting(dictToUse,keysToUse,indMain) # for experimental condition dictToUse = msd_dict keysToUse = keys_msd_dict returnList_expt = returnListForPlotting(dictToUse,keysToUse,i) # choose plot colors col1 = '#00fffb' col2 = '#e600ff' col3 = '#0004ff' col4 = '#ff0000' # pick opacity for shade plot alphaVal = 0.25 # pick error format errorFormat = 'ci' #errorFormat = 'sem' #errorFormat = 'std' # legend names leg1 = 'FloT control' leg2 = 'FloA control' # do plotting plt.figure() yExt1,x1,y1 = doPlotCondition(returnList_epiMadCtrl[0:5],col1,leg1,lw,alphaVal,errorFormat) yExt2,x2,y2 = doPlotCondition(returnList_epiMadCtrl[6:11],col2,leg2,lw,alphaVal,errorFormat) yExt3,x3,y3 = doPlotCondition(returnList_expt[0:5],col3,leg3,lw,alphaVal,errorFormat) if len(domainsTracked) == 2: yExt4,x4,y4 = doPlotCondition(returnList_expt[6:11],col4,leg4,lw,alphaVal,errorFormat) #... # get min and max y if len(domainsTracked) == 2: yExt = np.concatenate((yExt1,yExt2,yExt3,yExt4),axis=0) else: yExt = np.concatenate((yExt1,yExt2,yExt3),axis=0) #... yMin = np.min(yExt) yMax = np.max(yExt) # get array for x values x = x1 # for reference curves xMin = 0 xMax = -1 #multFactor = yMax # adjust start multFactorX = 1 multFactorY1 = .07 multFactorY2 = .3 multFactorY3 = .032 #multFactorY1 = .1 #multFactorY2 = 1 xDelta = .1 # adjusts end of ref line xMaxOffset1 = 0 xMaxOffset2 = .8 xMaxOffset3 = 0 xMinScale = .6 xtest1 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset1,xDelta))*multFactorX xtest2 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset2,xDelta))*multFactorX xtest3 = (np.arange(x[xMin]*xMinScale,x[xMax]-xMaxOffset3,xDelta))*multFactorX #b = np.min(x)+.1 #b=10e-2 #b=yMax #b=xtest1[0]-(xtest1[0]-.001) b=0 #xtest2[0] = x[0] ytest1 = (xtest1+b)*multFactorY1 #ytest1 = ytest1-ytest1[0]+y[0]+b ytest2 = (np.square(xtest2)+b)*multFactorY2 #ytest2 = ytest2-ytest2[0]+y[0]+b ytest3 = (np.power(xtest3,0.5))*multFactorY3 iSt = 0; plt.plot(xtest3[iSt:],ytest3[iSt:],'--',label='Slope = 0.5',linewidth=lw) plt.plot(xtest1[iSt:],ytest1[iSt:],'--',label='Slope = 1',linewidth=lw) plt.plot(xtest2[iSt:],ytest2[iSt:],'--',label='Slope = 2',linewidth=lw) plt.legend(loc=4,frameon=False,fontsize=lfs) plt.xscale('log') plt.yscale('log') plt.xlabel(r'$\tau$ (s)',fontsize=afs) plt.ylabel(r'MSD ($\mu$m$^2$)',fontsize=afs) plt.xticks(fontsize=tfs) plt.yticks(fontsize=tfs) plt.xlim(x[0]-.05,x[-1]+1) plt.ylim(yMin-1,yMax+.065) if doSave: plt.savefig(saveDirPlot+fname+'_'+errorFormat+'.pdf',bbox_inches="tight") #... # plt.clf() #...

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null

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7

569c3d8ae0b97e1a70ad3ecceaca40d9b963c8c0

2,925

py

Python

dataset/parsing/create_csv.py

cedricviaccoz/musicology

d1d04a4fe7b45fc6f08c52a7115017152f9baad3

[ "BSD-3-Clause" ]

1

2020-03-08T15:57:12.000Z

dataset/parsing/create_csv.py

cedricviaccoz/musicology

d1d04a4fe7b45fc6f08c52a7115017152f9baad3

[ "BSD-3-Clause" ]

null

dataset/parsing/create_csv.py

cedricviaccoz/musicology

d1d04a4fe7b45fc6f08c52a7115017152f9baad3

[ "BSD-3-Clause" ]

null

import json import pandas as pd game_data = json.load(open('game_data_raw.json', encoding='utf-8')) game_data.extend(json.load(open('game_data_raw_appendix.json', encoding='utf-8'))) midi_db = json.load(open('midi_db.json', encoding='utf-8')) consoles_mapping = json.load(open('tgdb_consoles_mapping.json', encoding='utf-8')) game_data = {(x[0][0], x[0][1]): x[1] for x in game_data} data = [] for midi in midi_db: midi_data = {'brand': midi['brand'], 'console': midi['console'], 'game': midi['game'], 'title': midi['title'], 'file_name': midi['path'].split('/')[-1] } key = (consoles_mapping[midi['console']], midi['game']) if key in game_data: for info in ['Developer', 'ESRB', 'GameTitle', 'Overview', 'Platform', 'Players', 'Publisher', 'Rating', 'ReleaseDate', 'id']: midi_data['tgdb_%s'%(info.lower())] = game_data[key].get(info) if 'Genres' in game_data[key]: genres = game_data[key]['Genres'].get('genre') if isinstance(genres, str): genres = [genres] midi_data['tgdb_genres'] = genres data.append(midi_data) df = pd.DataFrame(data) df.tgdb_releasedate = pd.to_datetime(df.tgdb_releasedate) df = df[['brand', 'console', 'game', 'title', 'file_name', 'tgdb_genres', 'tgdb_id', 'tgdb_developer', 'tgdb_publisher', 'tgdb_platform', 'tgdb_gametitle', 'tgdb_releasedate', 'tgdb_players', 'tgdb_rating', 'tgdb_esrb', 'tgdb_overview']] df.to_csv('midi_dataframe.csv', index=False) data = [] for midi in midi_db: midi_data = {'brand': midi['brand'], 'console': midi['console'], 'game': midi['game'], 'title': midi['title'], 'file_name': midi['path'].split('/')[-1] } key = (consoles_mapping[midi['console']], midi['game']) if key in game_data: for info in ['Developer', 'ESRB', 'GameTitle', 'Overview', 'Platform', 'Players', 'Publisher', 'Rating', 'ReleaseDate', 'id']: midi_data['tgdb_%s'%(info.lower())] = game_data[key].get(info) if 'Genres' in game_data[key]: genres = game_data[key]['Genres'].get('genre') if isinstance(genres, str): midi_data['tgdb_genres'] = genres data.append(midi_data) else: for genre in genres: midi_data = midi_data.copy() midi_data['tgdb_genres'] = genre data.append(midi_data) df = pd.DataFrame(data) df.tgdb_releasedate = pd.to_datetime(df.tgdb_releasedate) df = df[['brand', 'console', 'game', 'title', 'file_name', 'tgdb_genres', 'tgdb_id', 'tgdb_developer', 'tgdb_publisher', 'tgdb_platform', 'tgdb_gametitle', 'tgdb_releasedate', 'tgdb_players', 'tgdb_rating', 'tgdb_esrb', 'tgdb_overview']] df.to_csv('midi_dataframe_genres.csv', index=False)

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2,925

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null

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7

3b92b644eafb4647fdf43610c2cdd41fd13b58f8

1,782

py

Python

database/migrations/0057_auto_20210525_1929.py

ORC-RIS/beiwe-backend

af2c43f79350bf0fc1ce8efafab1ac9c40008c40

[ "BSD-3-Clause" ]

51

2018-01-12T01:51:44.000Z

2022-03-10T00:06:34.000Z

database/migrations/0057_auto_20210525_1929.py

ORC-RIS/beiwe-backend

af2c43f79350bf0fc1ce8efafab1ac9c40008c40

[ "BSD-3-Clause" ]

213

2018-01-10T19:57:03.000Z

2022-03-29T04:30:53.000Z

database/migrations/0057_auto_20210525_1929.py

ORC-RIS/beiwe-backend

af2c43f79350bf0fc1ce8efafab1ac9c40008c40

[ "BSD-3-Clause" ]

35

2018-03-08T03:28:53.000Z

2022-03-11T13:58:44.000Z

# Generated by Django 2.2.19 on 2021-05-25 19:29 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('database', '0056_auto_20210525_1920'), ] operations = [ migrations.AlterField( model_name='summarystatisticdaily', name='distance_diameter', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='distance_from_home', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='distance_traveled', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='flight_distance_average', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='flight_distance_standard_deviation', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='flight_duration_average', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='flight_duration_standard_deviation', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='summarystatisticdaily', name='home_duration', field=models.FloatField(blank=True, null=True), ), ]

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156

1,782

6.74359

0.269231

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0.821293

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1,782

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0

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0

1

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null

0

9

8ef21dfa7acdcec18f83e6fce650457a5927ed9e

1,141

py

Python

examples/skip_tests.py

Auzzy/pyinq

91cc13013931620458ae6b23abc1d4a3e5ded27f

[ "0BSD" ]

null

examples/skip_tests.py

Auzzy/pyinq

91cc13013931620458ae6b23abc1d4a3e5ded27f

[ "0BSD" ]

null

examples/skip_tests.py

Auzzy/pyinq

91cc13013931620458ae6b23abc1d4a3e5ded27f

[ "0BSD" ]

null

from pyinq.tags import * @testClass class Class(object): @skip @test def test1(): assert False @test @skip def test2(): assert False @test def test3(): assert True @skipIf(True) @test def test4(): assert False @test @skipIf(True) def test5(): assert False @skipIf(False) @test def test6(): assert True @test @skipIf(False) def test7(): assert True @skipUnless(True) @test def test8(): assert True @test @skipUnless(True) def test9(): assert True @skipUnless(False) @test def test10(): assert False @test @skipUnless(False) def test11(): assert False @skip @test def test1(): assert False @test @skip def test2(): assert False @test def test3(): assert True @skipIf(True) @test def test4(): assert False @test @skipIf(True) def test5(): assert False @skipIf(False) @test def test6(): assert True @test @skipIf(False) def test7(): assert True @skipUnless(True) @test def test8(): assert True @test @skipUnless(True) def test9(): assert True @skipUnless(False) @test def test10(): assert False @test @skipUnless(False) def test11(): assert False

10.097345

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0.666082

154

1,141

4.935065

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0.157895

0.042105

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1,141

112

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1

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null

0

1

0

9

7946a1b746e880a69e881eee572c87e4be02b590

2,404

py

Python

chatterbox/tests/test_utils_facebook.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

8

2015-03-10T20:03:09.000Z

2018-06-14T23:03:58.000Z

chatterbox/tests/test_utils_facebook.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

3

2015-07-14T22:44:47.000Z

2020-06-05T23:43:05.000Z

chatterbox/tests/test_utils_facebook.py

blitzagency/django-chatterbox

7bf17444f8308aa12b6718bd62ee1344021c21aa

[ "MIT" ]

null

import json from django.test import TestCase from .utils import load_json from chatterbox.utils.facebook import activity_dict_from_dict class FacebookUtils(TestCase): def test_facebook_link_activity_dict_from_dict(self): data = load_json("facebook-in-basic-link") final = load_json("facebook-out-basic-link") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2) def test_facebook_photo_activity_dict_from_dict(self): data = load_json("facebook-in-basic-photo") final = load_json("facebook-out-basic-photo") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2) def test_facebook_basic_status_message_activity_dict_from_dict(self): data = load_json("facebook-in-basic-status+message") final = load_json("facebook-out-basic-status+message") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2) def test_facebook_basic_status_message_comments_activity_dict_from_dict(self): data = load_json("facebook-in-basic-status+message+comments") final = load_json("facebook-out-basic-status+message+comments") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2) def test_facebook_status_activity_dict_from_dict(self): data = load_json("facebook-in-basic-status") final = load_json("facebook-out-basic-status") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2) def test_facebook_video_activity_dict_from_dict(self): data = load_json("facebook-in-basic-video") final = load_json("facebook-out-basic-video") output = activity_dict_from_dict(data) value1 = json.dumps(output, sort_keys=True) value2 = json.dumps(final, sort_keys=True) self.assertEqual(value1, value2)

42.928571

82

0.707571

317

2,404

5.091483

0.11041

0.064436

0.128872

0.16109

0.859356

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0.783767

0.731722

0

0.012358

0.19218

2,404

55

83

43.709091

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0.234043

0

null

0

1

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null

0

7

79666626f5450b26025b783ea41c70cf440e3e2f

3,411

py

Python

tests/gdata_tests/contentforshopping_test.py

Cloudlock/gdata-python3

a6481a13590bfa225f91a97b2185cca9aacd1403

[ "Apache-2.0" ]

19

2017-06-09T13:38:03.000Z

2020-12-12T07:45:48.000Z

tests/gdata_tests/contentforshopping_test.py

AlexxIT/gdata-python3

5cc5a83a469d87f804d1fda8760ec76bcb6050c9

[ "Apache-1.1" ]

11

2017-07-22T07:09:54.000Z

2020-12-02T15:08:48.000Z

tests/gdata_tests/contentforshopping_test.py

AlexxIT/gdata-python3

5cc5a83a469d87f804d1fda8760ec76bcb6050c9

[ "Apache-1.1" ]

25

2017-07-03T11:30:39.000Z

2020-10-01T02:21:13.000Z

# # Copyright 2009 Google Inc. All Rights Reserved. # # Licensed under the Apache License 2.0; """Content API for Shopping tests""" # __author__ = 'afshar (Ali Afshar)' import unittest from gdata.contentforshopping import client class CFSClientTest(unittest.TestCase): def test_uri_missing_account_id(self): c = client.ContentForShoppingClient() self.assertRaises(ValueError, c._create_uri, account_id=None, projection=None, resource='a/b') def test_uri_bad_projection(self): c = client.ContentForShoppingClient() self.assertRaises(ValueError, c._create_uri, account_id='123', projection='banana', resource='a/b') def test_good_default_account_id(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection=None, resource='a/b') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/a/b/generic') def test_override_request_account_id(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id='321', projection=None, resource='a/b') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/321/a/b/generic') def test_default_projection(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection=None, resource='a/b') self.assertEqual(c.cfs_projection, 'generic') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/a/b/generic') def test_default_projection_change(self): c = client.ContentForShoppingClient(account_id='123', projection='schema') uri = c._create_uri(account_id=None, projection=None, resource='a/b') self.assertEqual(c.cfs_projection, 'schema') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/a/b/schema') def test_request_projection(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection='schema', resource='a/b') self.assertEqual(c.cfs_projection, 'generic') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/a/b/schema') def test_request_resource(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection=None, resource='x/y/z') self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/x/y/z/generic') def test_path_single(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection=None, resource='r', path=['1']) self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/r/generic/1') def test_path_multiple(self): c = client.ContentForShoppingClient(account_id='123') uri = c._create_uri(account_id=None, projection=None, resource='r', path=['1', '2']) self.assertEqual(uri, 'https://content.googleapis.com/content/v1/123/r/generic/1/2') if __name__ == '__main__': unittest.main()

40.607143

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405

3,411

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3,411

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0

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1

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false

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0.224138

0

null

0

1

0

null

0

7

79a53e9469cd869271c3ae2e7c81271c7607c61a

7,025

py

Python

src/abaqus/Material/ProgressiveDamageFailure/DamageStabilizationCohesive.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/Material/ProgressiveDamageFailure/DamageStabilizationCohesive.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/Material/ProgressiveDamageFailure/DamageStabilizationCohesive.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

class DamageStabilizationCohesive: """The DamageStabilizationCohesive object specifies the viscosity coefficients for the damage model for surface-based cohesive behavior or enriched cohesive behavior. Notes ----- This object can be accessed by: .. code-block:: python import material mdb.models[name].materials[name].ductileDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].fldDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].flsdDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].hashinDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].johnsonCookDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].maxeDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].maxpeDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].maxpsDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].maxsDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].mkDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].msfldDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].quadeDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].quadsDamageInitiation.damageStabilizationCohesive mdb.models[name].materials[name].shearDamageInitiation.damageStabilizationCohesive import odbMaterial session.odbs[name].materials[name].ductileDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].fldDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].flsdDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].hashinDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].johnsonCookDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].maxeDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].maxpeDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].maxpsDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].maxsDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].mkDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].msfldDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].quadeDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].quadsDamageInitiation.damageStabilizationCohesive session.odbs[name].materials[name].shearDamageInitiation.damageStabilizationCohesive The corresponding analysis keywords are: - DAMAGE STABILIZATION """ def __init__(self, cohesiveCoeff: float = None): """This method creates a DamageStabilizationCohesive object. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].materials[name].ductileDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].fldDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].flsdDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].hashinDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].johnsonCookDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].maxeDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].maxpeDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].maxpsDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].maxsDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].mkDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].msfldDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].quadeDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].quadsDamageInitiation\ - .DamageStabilizationCohesive mdb.models[name].materials[name].shearDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].ductileDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].fldDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].flsdDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].hashinDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].johnsonCookDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].maxeDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].maxpeDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].maxpsDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].maxsDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].mkDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].msfldDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].quadeDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].quadsDamageInitiation\ - .DamageStabilizationCohesive session.odbs[name].materials[name].shearDamageInitiation\ - .DamageStabilizationCohesive Parameters ---------- cohesiveCoeff None or a Float specifying the viscosity coefficient. The default value is None. Returns ------- A DamageStabilizationCohesive object. Raises ------ RangeError """ pass def setValues(self): """This method modifies the DamageStabilizationCohesive object. Raises ------ RangeError """ pass

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1

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11

79d2ef54a970abce3fb9b58d369553427da6e507

55,596

py

Python

boto3_type_annotations_with_docs/boto3_type_annotations/ram/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

119

2018-12-01T18:20:57.000Z

2022-02-02T10:31:29.000Z

boto3_type_annotations_with_docs/boto3_type_annotations/ram/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

15

2018-11-16T00:16:44.000Z

2021-11-13T03:44:18.000Z

boto3_type_annotations_with_docs/boto3_type_annotations/ram/client.py

cowboygneox/boto3_type_annotations

450dce1de4e066b939de7eac2ec560ed1a7ddaa2

[ "MIT" ]

11

2019-05-06T05:26:51.000Z

2021-09-28T15:27:59.000Z

from typing import Optional from botocore.client import BaseClient from typing import Dict from botocore.paginate import Paginator from botocore.waiter import Waiter from typing import Union from typing import List class Client(BaseClient): def accept_resource_share_invitation(self, resourceShareInvitationArn: str, clientToken: str = None) -> Dict: """ Accepts an invitation to a resource share from another AWS account. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/AcceptResourceShareInvitation>`_ **Request Syntax** :: response = client.accept_resource_share_invitation( resourceShareInvitationArn='string', clientToken='string' ) **Response Syntax** :: { 'resourceShareInvitation': { 'resourceShareInvitationArn': 'string', 'resourceShareName': 'string', 'resourceShareArn': 'string', 'senderAccountId': 'string', 'receiverAccountId': 'string', 'invitationTimestamp': datetime(2015, 1, 1), 'status': 'PENDING'|'ACCEPTED'|'REJECTED'|'EXPIRED', 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ] }, 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareInvitation** *(dict) --* Information about the invitation. - **resourceShareInvitationArn** *(string) --* The Amazon Resource Name (ARN) of the invitation. - **resourceShareName** *(string) --* The name of the resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **senderAccountId** *(string) --* The ID of the AWS account that sent the invitation. - **receiverAccountId** *(string) --* The ID of the AWS account that received the invitation. - **invitationTimestamp** *(datetime) --* The date and time when the invitation was sent. - **status** *(string) --* The status of the invitation. - **resourceShareAssociations** *(list) --* The resources associated with the resource share. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareInvitationArn: string :param resourceShareInvitationArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the invitation. :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def associate_resource_share(self, resourceShareArn: str, resourceArns: List = None, principals: List = None, clientToken: str = None) -> Dict: """ Associates the specified resource share with the specified principals and resources. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/AssociateResourceShare>`_ **Request Syntax** :: response = client.associate_resource_share( resourceShareArn='string', resourceArns=[ 'string', ], principals=[ 'string', ], clientToken='string' ) **Response Syntax** :: { 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ], 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareAssociations** *(list) --* Information about the associations. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type resourceArns: list :param resourceArns: The Amazon Resource Names (ARN) of the resources. - *(string) --* :type principals: list :param principals: The principals. - *(string) --* :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def can_paginate(self, operation_name: str = None): """ Check if an operation can be paginated. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is ``create_foo``, and you\'d normally invoke the operation as ``client.create_foo(**kwargs)``, if the ``create_foo`` operation can be paginated, you can use the call ``client.get_paginator(\"create_foo\")``. :return: ``True`` if the operation can be paginated, ``False`` otherwise. """ pass def create_resource_share(self, name: str, resourceArns: List = None, principals: List = None, tags: List = None, allowExternalPrincipals: bool = None, clientToken: str = None) -> Dict: """ Creates a resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/CreateResourceShare>`_ **Request Syntax** :: response = client.create_resource_share( name='string', resourceArns=[ 'string', ], principals=[ 'string', ], tags=[ { 'key': 'string', 'value': 'string' }, ], allowExternalPrincipals=True|False, clientToken='string' ) **Response Syntax** :: { 'resourceShare': { 'resourceShareArn': 'string', 'name': 'string', 'owningAccountId': 'string', 'allowExternalPrincipals': True|False, 'status': 'PENDING'|'ACTIVE'|'FAILED'|'DELETING'|'DELETED', 'statusMessage': 'string', 'tags': [ { 'key': 'string', 'value': 'string' }, ], 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1) }, 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShare** *(dict) --* Information about the resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **name** *(string) --* The name of the resource share. - **owningAccountId** *(string) --* The ID of the AWS account that owns the resource share. - **allowExternalPrincipals** *(boolean) --* Indicates whether principals outside your organization can be associated with a resource share. - **status** *(string) --* The status of the resource share. - **statusMessage** *(string) --* A message about the status of the resource share. - **tags** *(list) --* The tags for the resource share. - *(dict) --* Information about a tag. - **key** *(string) --* The key of the tag. - **value** *(string) --* The value of the tag. - **creationTime** *(datetime) --* The time when the resource share was created. - **lastUpdatedTime** *(datetime) --* The time when the resource share was last updated. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type name: string :param name: **[REQUIRED]** The name of the resource share. :type resourceArns: list :param resourceArns: The Amazon Resource Names (ARN) of the resources to associate with the resource share. - *(string) --* :type principals: list :param principals: The principals to associate with the resource share. The possible values are IDs of AWS accounts, the ARN of an OU or organization from AWS Organizations. - *(string) --* :type tags: list :param tags: One or more tags. - *(dict) --* Information about a tag. - **key** *(string) --* The key of the tag. - **value** *(string) --* The value of the tag. :type allowExternalPrincipals: boolean :param allowExternalPrincipals: Indicates whether principals outside your organization can be associated with a resource share. :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def delete_resource_share(self, resourceShareArn: str, clientToken: str = None) -> Dict: """ Deletes the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/DeleteResourceShare>`_ **Request Syntax** :: response = client.delete_resource_share( resourceShareArn='string', clientToken='string' ) **Response Syntax** :: { 'returnValue': True|False, 'clientToken': 'string' } **Response Structure** - *(dict) --* - **returnValue** *(boolean) --* Indicates whether the request succeeded. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def disassociate_resource_share(self, resourceShareArn: str, resourceArns: List = None, principals: List = None, clientToken: str = None) -> Dict: """ Disassociates the specified principals or resources from the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/DisassociateResourceShare>`_ **Request Syntax** :: response = client.disassociate_resource_share( resourceShareArn='string', resourceArns=[ 'string', ], principals=[ 'string', ], clientToken='string' ) **Response Syntax** :: { 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ], 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareAssociations** *(list) --* Information about the associations. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type resourceArns: list :param resourceArns: The Amazon Resource Names (ARN) of the resources. - *(string) --* :type principals: list :param principals: The principals. - *(string) --* :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def enable_sharing_with_aws_organization(self) -> Dict: """ Enables resource sharing within your organization. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/EnableSharingWithAwsOrganization>`_ **Request Syntax** :: response = client.enable_sharing_with_aws_organization() **Response Syntax** :: { 'returnValue': True|False } **Response Structure** - *(dict) --* - **returnValue** *(boolean) --* Indicates whether the request succeeded. :rtype: dict :returns: """ pass def generate_presigned_url(self, ClientMethod: str = None, Params: Dict = None, ExpiresIn: int = None, HttpMethod: str = None): """ Generate a presigned url given a client, its method, and arguments :type ClientMethod: string :param ClientMethod: The client method to presign for :type Params: dict :param Params: The parameters normally passed to ``ClientMethod``. :type ExpiresIn: int :param ExpiresIn: The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds) :type HttpMethod: string :param HttpMethod: The http method to use on the generated url. By default, the http method is whatever is used in the method\'s model. :returns: The presigned url """ pass def get_paginator(self, operation_name: str = None) -> Paginator: """ Create a paginator for an operation. :type operation_name: string :param operation_name: The operation name. This is the same name as the method name on the client. For example, if the method name is ``create_foo``, and you\'d normally invoke the operation as ``client.create_foo(**kwargs)``, if the ``create_foo`` operation can be paginated, you can use the call ``client.get_paginator(\"create_foo\")``. :raise OperationNotPageableError: Raised if the operation is not pageable. You can use the ``client.can_paginate`` method to check if an operation is pageable. :rtype: L{botocore.paginate.Paginator} :return: A paginator object. """ pass def get_resource_policies(self, resourceArns: List, principal: str = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Gets the policies for the specifies resources. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/GetResourcePolicies>`_ **Request Syntax** :: response = client.get_resource_policies( resourceArns=[ 'string', ], principal='string', nextToken='string', maxResults=123 ) **Response Syntax** :: { 'policies': [ 'string', ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **policies** *(list) --* A key policy document, in JSON format. - *(string) --* - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type resourceArns: list :param resourceArns: **[REQUIRED]** The Amazon Resource Names (ARN) of the resources. - *(string) --* :type principal: string :param principal: The principal. :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def get_resource_share_associations(self, associationType: str, resourceShareArns: List = None, resourceArn: str = None, principal: str = None, associationStatus: str = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Gets the associations for the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/GetResourceShareAssociations>`_ **Request Syntax** :: response = client.get_resource_share_associations( associationType='PRINCIPAL'|'RESOURCE', resourceShareArns=[ 'string', ], resourceArn='string', principal='string', associationStatus='ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', nextToken='string', maxResults=123 ) **Response Syntax** :: { 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareAssociations** *(list) --* Information about the association. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type associationType: string :param associationType: **[REQUIRED]** The association type. :type resourceShareArns: list :param resourceShareArns: The Amazon Resource Names (ARN) of the resource shares. - *(string) --* :type resourceArn: string :param resourceArn: The Amazon Resource Name (ARN) of the resource. :type principal: string :param principal: The principal. :type associationStatus: string :param associationStatus: The status of the association. :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def get_resource_share_invitations(self, resourceShareInvitationArns: List = None, resourceShareArns: List = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Gets the specified invitations for resource sharing. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/GetResourceShareInvitations>`_ **Request Syntax** :: response = client.get_resource_share_invitations( resourceShareInvitationArns=[ 'string', ], resourceShareArns=[ 'string', ], nextToken='string', maxResults=123 ) **Response Syntax** :: { 'resourceShareInvitations': [ { 'resourceShareInvitationArn': 'string', 'resourceShareName': 'string', 'resourceShareArn': 'string', 'senderAccountId': 'string', 'receiverAccountId': 'string', 'invitationTimestamp': datetime(2015, 1, 1), 'status': 'PENDING'|'ACCEPTED'|'REJECTED'|'EXPIRED', 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ] }, ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareInvitations** *(list) --* Information about the invitations. - *(dict) --* Describes an invitation to join a resource share. - **resourceShareInvitationArn** *(string) --* The Amazon Resource Name (ARN) of the invitation. - **resourceShareName** *(string) --* The name of the resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **senderAccountId** *(string) --* The ID of the AWS account that sent the invitation. - **receiverAccountId** *(string) --* The ID of the AWS account that received the invitation. - **invitationTimestamp** *(datetime) --* The date and time when the invitation was sent. - **status** *(string) --* The status of the invitation. - **resourceShareAssociations** *(list) --* The resources associated with the resource share. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type resourceShareInvitationArns: list :param resourceShareInvitationArns: The Amazon Resource Names (ARN) of the invitations. - *(string) --* :type resourceShareArns: list :param resourceShareArns: The Amazon Resource Names (ARN) of the resource shares. - *(string) --* :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def get_resource_shares(self, resourceOwner: str, resourceShareArns: List = None, resourceShareStatus: str = None, name: str = None, tagFilters: List = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Gets the specified resource shares or all of your resource shares. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/GetResourceShares>`_ **Request Syntax** :: response = client.get_resource_shares( resourceShareArns=[ 'string', ], resourceShareStatus='PENDING'|'ACTIVE'|'FAILED'|'DELETING'|'DELETED', resourceOwner='SELF'|'OTHER-ACCOUNTS', name='string', tagFilters=[ { 'tagKey': 'string', 'tagValues': [ 'string', ] }, ], nextToken='string', maxResults=123 ) **Response Syntax** :: { 'resourceShares': [ { 'resourceShareArn': 'string', 'name': 'string', 'owningAccountId': 'string', 'allowExternalPrincipals': True|False, 'status': 'PENDING'|'ACTIVE'|'FAILED'|'DELETING'|'DELETED', 'statusMessage': 'string', 'tags': [ { 'key': 'string', 'value': 'string' }, ], 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1) }, ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **resourceShares** *(list) --* Information about the resource shares. - *(dict) --* Describes a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **name** *(string) --* The name of the resource share. - **owningAccountId** *(string) --* The ID of the AWS account that owns the resource share. - **allowExternalPrincipals** *(boolean) --* Indicates whether principals outside your organization can be associated with a resource share. - **status** *(string) --* The status of the resource share. - **statusMessage** *(string) --* A message about the status of the resource share. - **tags** *(list) --* The tags for the resource share. - *(dict) --* Information about a tag. - **key** *(string) --* The key of the tag. - **value** *(string) --* The value of the tag. - **creationTime** *(datetime) --* The time when the resource share was created. - **lastUpdatedTime** *(datetime) --* The time when the resource share was last updated. - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type resourceShareArns: list :param resourceShareArns: The Amazon Resource Names (ARN) of the resource shares. - *(string) --* :type resourceShareStatus: string :param resourceShareStatus: The status of the resource share. :type resourceOwner: string :param resourceOwner: **[REQUIRED]** The type of owner. :type name: string :param name: The name of the resource share. :type tagFilters: list :param tagFilters: One or more tag filters. - *(dict) --* Used to filter information based on tags. - **tagKey** *(string) --* The tag key. - **tagValues** *(list) --* The tag values. - *(string) --* :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def get_waiter(self, waiter_name: str = None) -> Waiter: """ Returns an object that can wait for some condition. :type waiter_name: str :param waiter_name: The name of the waiter to get. See the waiters section of the service docs for a list of available waiters. :returns: The specified waiter object. :rtype: botocore.waiter.Waiter """ pass def list_principals(self, resourceOwner: str, resourceArn: str = None, principals: List = None, resourceType: str = None, resourceShareArns: List = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Lists the principals with access to the specified resource. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/ListPrincipals>`_ **Request Syntax** :: response = client.list_principals( resourceOwner='SELF'|'OTHER-ACCOUNTS', resourceArn='string', principals=[ 'string', ], resourceType='string', resourceShareArns=[ 'string', ], nextToken='string', maxResults=123 ) **Response Syntax** :: { 'principals': [ { 'id': 'string', 'resourceShareArn': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **principals** *(list) --* The principals. - *(dict) --* Describes a principal for use with AWS Resource Access Manager. - **id** *(string) --* The ID of the principal. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **creationTime** *(datetime) --* The time when the principal was associated with the resource share. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type resourceOwner: string :param resourceOwner: **[REQUIRED]** The type of owner. :type resourceArn: string :param resourceArn: The Amazon Resource Name (ARN) of the resource. :type principals: list :param principals: The principals. - *(string) --* :type resourceType: string :param resourceType: The resource type. :type resourceShareArns: list :param resourceShareArns: The Amazon Resource Names (ARN) of the resource shares. - *(string) --* :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def list_resources(self, resourceOwner: str, principal: str = None, resourceType: str = None, resourceArns: List = None, resourceShareArns: List = None, nextToken: str = None, maxResults: int = None) -> Dict: """ Lists the resources that the specified principal can access. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/ListResources>`_ **Request Syntax** :: response = client.list_resources( resourceOwner='SELF'|'OTHER-ACCOUNTS', principal='string', resourceType='string', resourceArns=[ 'string', ], resourceShareArns=[ 'string', ], nextToken='string', maxResults=123 ) **Response Syntax** :: { 'resources': [ { 'arn': 'string', 'type': 'string', 'resourceShareArn': 'string', 'status': 'AVAILABLE'|'ZONAL_RESOURCE_INACCESSIBLE'|'LIMIT_EXCEEDED'|'UNAVAILABLE', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1) }, ], 'nextToken': 'string' } **Response Structure** - *(dict) --* - **resources** *(list) --* Information about the resources. - *(dict) --* Describes a resource associated with a resource share. - **arn** *(string) --* The Amazon Resource Name (ARN) of the resource. - **type** *(string) --* The resource type. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **status** *(string) --* The status of the resource. - **statusMessage** *(string) --* A message about the status of the resource. - **creationTime** *(datetime) --* The time when the resource was associated with the resource share. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **nextToken** *(string) --* The token to use to retrieve the next page of results. This value is ``null`` when there are no more results to return. :type resourceOwner: string :param resourceOwner: **[REQUIRED]** The type of owner. :type principal: string :param principal: The principal. :type resourceType: string :param resourceType: The resource type. :type resourceArns: list :param resourceArns: The Amazon Resource Names (ARN) of the resources. - *(string) --* :type resourceShareArns: list :param resourceShareArns: The Amazon Resource Names (ARN) of the resource shares. - *(string) --* :type nextToken: string :param nextToken: The token for the next page of results. :type maxResults: integer :param maxResults: The maximum number of results to return with a single call. To retrieve the remaining results, make another call with the returned ``nextToken`` value. :rtype: dict :returns: """ pass def reject_resource_share_invitation(self, resourceShareInvitationArn: str, clientToken: str = None) -> Dict: """ Rejects an invitation to a resource share from another AWS account. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/RejectResourceShareInvitation>`_ **Request Syntax** :: response = client.reject_resource_share_invitation( resourceShareInvitationArn='string', clientToken='string' ) **Response Syntax** :: { 'resourceShareInvitation': { 'resourceShareInvitationArn': 'string', 'resourceShareName': 'string', 'resourceShareArn': 'string', 'senderAccountId': 'string', 'receiverAccountId': 'string', 'invitationTimestamp': datetime(2015, 1, 1), 'status': 'PENDING'|'ACCEPTED'|'REJECTED'|'EXPIRED', 'resourceShareAssociations': [ { 'resourceShareArn': 'string', 'associatedEntity': 'string', 'associationType': 'PRINCIPAL'|'RESOURCE', 'status': 'ASSOCIATING'|'ASSOCIATED'|'FAILED'|'DISASSOCIATING'|'DISASSOCIATED', 'statusMessage': 'string', 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1), 'external': True|False }, ] }, 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShareInvitation** *(dict) --* Information about the invitation. - **resourceShareInvitationArn** *(string) --* The Amazon Resource Name (ARN) of the invitation. - **resourceShareName** *(string) --* The name of the resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **senderAccountId** *(string) --* The ID of the AWS account that sent the invitation. - **receiverAccountId** *(string) --* The ID of the AWS account that received the invitation. - **invitationTimestamp** *(datetime) --* The date and time when the invitation was sent. - **status** *(string) --* The status of the invitation. - **resourceShareAssociations** *(list) --* The resources associated with the resource share. - *(dict) --* Describes an association with a resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **associatedEntity** *(string) --* The associated entity. For resource associations, this is the ARN of the resource. For principal associations, this is the ID of an AWS account or the ARN of an OU or organization from AWS Organizations. - **associationType** *(string) --* The association type. - **status** *(string) --* The status of the association. - **statusMessage** *(string) --* A message about the status of the association. - **creationTime** *(datetime) --* The time when the association was created. - **lastUpdatedTime** *(datetime) --* The time when the association was last updated. - **external** *(boolean) --* Indicates whether the principal belongs to the same organization as the AWS account that owns the resource share. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareInvitationArn: string :param resourceShareInvitationArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the invitation. :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass def tag_resource(self, resourceShareArn: str, tags: List) -> Dict: """ Adds the specified tags to the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/TagResource>`_ **Request Syntax** :: response = client.tag_resource( resourceShareArn='string', tags=[ { 'key': 'string', 'value': 'string' }, ] ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type tags: list :param tags: **[REQUIRED]** One or more tags. - *(dict) --* Information about a tag. - **key** *(string) --* The key of the tag. - **value** *(string) --* The value of the tag. :rtype: dict :returns: """ pass def untag_resource(self, resourceShareArn: str, tagKeys: List) -> Dict: """ Removes the specified tags from the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/UntagResource>`_ **Request Syntax** :: response = client.untag_resource( resourceShareArn='string', tagKeys=[ 'string', ] ) **Response Syntax** :: {} **Response Structure** - *(dict) --* :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type tagKeys: list :param tagKeys: **[REQUIRED]** The tag keys of the tags to remove. - *(string) --* :rtype: dict :returns: """ pass def update_resource_share(self, resourceShareArn: str, name: str = None, allowExternalPrincipals: bool = None, clientToken: str = None) -> Dict: """ Updates the specified resource share. See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/ram-2018-01-04/UpdateResourceShare>`_ **Request Syntax** :: response = client.update_resource_share( resourceShareArn='string', name='string', allowExternalPrincipals=True|False, clientToken='string' ) **Response Syntax** :: { 'resourceShare': { 'resourceShareArn': 'string', 'name': 'string', 'owningAccountId': 'string', 'allowExternalPrincipals': True|False, 'status': 'PENDING'|'ACTIVE'|'FAILED'|'DELETING'|'DELETED', 'statusMessage': 'string', 'tags': [ { 'key': 'string', 'value': 'string' }, ], 'creationTime': datetime(2015, 1, 1), 'lastUpdatedTime': datetime(2015, 1, 1) }, 'clientToken': 'string' } **Response Structure** - *(dict) --* - **resourceShare** *(dict) --* Information about the resource share. - **resourceShareArn** *(string) --* The Amazon Resource Name (ARN) of the resource share. - **name** *(string) --* The name of the resource share. - **owningAccountId** *(string) --* The ID of the AWS account that owns the resource share. - **allowExternalPrincipals** *(boolean) --* Indicates whether principals outside your organization can be associated with a resource share. - **status** *(string) --* The status of the resource share. - **statusMessage** *(string) --* A message about the status of the resource share. - **tags** *(list) --* The tags for the resource share. - *(dict) --* Information about a tag. - **key** *(string) --* The key of the tag. - **value** *(string) --* The value of the tag. - **creationTime** *(datetime) --* The time when the resource share was created. - **lastUpdatedTime** *(datetime) --* The time when the resource share was last updated. - **clientToken** *(string) --* A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :type resourceShareArn: string :param resourceShareArn: **[REQUIRED]** The Amazon Resource Name (ARN) of the resource share. :type name: string :param name: The name of the resource share. :type allowExternalPrincipals: boolean :param allowExternalPrincipals: Indicates whether principals outside your organization can be associated with a resource share. :type clientToken: string :param clientToken: A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. :rtype: dict :returns: """ pass

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py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_man_xml_ttyagent_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_man_xml_ttyagent_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_man_xml_ttyagent_oper.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

[ "ECL-2.0", "Apache-2.0" ]

null

""" Cisco_IOS_XR_man_xml_ttyagent_oper This module contains a collection of YANG definitions for Cisco IOS\-XR man\-xml\-ttyagent package operational data. This module contains definitions for the following management objects\: netconf\: NETCONF operational information xr\-xml\: xr xml Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved. """ import re import collections from enum import Enum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk.errors import YPYError, YPYModelError class XrXmlSessionAlarmRegisterEnum(Enum): """ XrXmlSessionAlarmRegisterEnum AlarmNotify .. data:: registered = 1 Registered .. data:: not_registered = 2 NotRegistered """ registered = 1 not_registered = 2 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXmlSessionAlarmRegisterEnum'] class XrXmlSessionStateEnum(Enum): """ XrXmlSessionStateEnum SessionState .. data:: idle = 1 Idle .. data:: busy = 2 Busy """ idle = 1 busy = 2 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXmlSessionStateEnum'] class Netconf(object): """ NETCONF operational information .. attribute:: agent NETCONF agent operational information **type**\: :py:class:`Agent <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.Netconf.Agent>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.agent = Netconf.Agent() self.agent.parent = self class Agent(object): """ NETCONF agent operational information .. attribute:: tty NETCONF agent over TTY **type**\: :py:class:`Tty <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.Netconf.Agent.Tty>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.tty = Netconf.Agent.Tty() self.tty.parent = self class Tty(object): """ NETCONF agent over TTY .. attribute:: sessions Session information **type**\: :py:class:`Sessions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.Netconf.Agent.Tty.Sessions>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.sessions = Netconf.Agent.Tty.Sessions() self.sessions.parent = self class Sessions(object): """ Session information .. attribute:: session Session information **type**\: list of :py:class:`Session <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.Netconf.Agent.Tty.Sessions.Session>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session = YList() self.session.parent = self self.session.name = 'session' class Session(object): """ Session information .. attribute:: session_id <key> Session ID **type**\: int **range:** \-2147483648..2147483647 .. attribute:: admin_config_session_id Admin config session ID **type**\: str .. attribute:: alarm_notification is the session registered for alarm notifications **type**\: :py:class:`XrXmlSessionAlarmRegisterEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionAlarmRegisterEnum>` .. attribute:: client_address ip address of the client **type**\: str .. attribute:: client_port client's port **type**\: int **range:** 0..4294967295 .. attribute:: config_session_id Config session ID **type**\: str .. attribute:: elapsed_time Elapsed time(seconds) since a session is created **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: last_state_change Time(seconds) since last session state change happened **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: start_time session start time in seconds since the Unix Epoch **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: state state of the session idle/busy **type**\: :py:class:`XrXmlSessionStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionStateEnum>` .. attribute:: username Username **type**\: str .. attribute:: vrf_name VRF name **type**\: str """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session_id = None self.admin_config_session_id = None self.alarm_notification = None self.client_address = None self.client_port = None self.config_session_id = None self.elapsed_time = None self.last_state_change = None self.start_time = None self.state = None self.username = None self.vrf_name = None @property def _common_path(self): if self.session_id is None: raise YPYModelError('Key property session_id is None') return '/Cisco-IOS-XR-man-xml-ttyagent-oper:netconf/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions/Cisco-IOS-XR-man-xml-ttyagent-oper:session[Cisco-IOS-XR-man-xml-ttyagent-oper:session-id = ' + str(self.session_id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session_id is not None: return True if self.admin_config_session_id is not None: return True if self.alarm_notification is not None: return True if self.client_address is not None: return True if self.client_port is not None: return True if self.config_session_id is not None: return True if self.elapsed_time is not None: return True if self.last_state_change is not None: return True if self.start_time is not None: return True if self.state is not None: return True if self.username is not None: return True if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['Netconf.Agent.Tty.Sessions.Session']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:netconf/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session is not None: for child_ref in self.session: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['Netconf.Agent.Tty.Sessions']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:netconf/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.sessions is not None and self.sessions._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['Netconf.Agent.Tty']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:netconf/Cisco-IOS-XR-man-xml-ttyagent-oper:agent' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.tty is not None and self.tty._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['Netconf.Agent']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:netconf' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.agent is not None and self.agent._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['Netconf']['meta_info'] class XrXml(object): """ xr xml .. attribute:: agent XML agents **type**\: :py:class:`Agent <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.agent = XrXml.Agent() self.agent.parent = self class Agent(object): """ XML agents .. attribute:: default Default sessions information **type**\: :py:class:`Default <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Default>` .. attribute:: ssl SSL sessions information **type**\: :py:class:`Ssl <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Ssl>` .. attribute:: tty TTY sessions information **type**\: :py:class:`Tty <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Tty>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.default = XrXml.Agent.Default() self.default.parent = self self.ssl = XrXml.Agent.Ssl() self.ssl.parent = self self.tty = XrXml.Agent.Tty() self.tty.parent = self class Tty(object): """ TTY sessions information .. attribute:: sessions sessions information **type**\: :py:class:`Sessions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Tty.Sessions>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.sessions = XrXml.Agent.Tty.Sessions() self.sessions.parent = self class Sessions(object): """ sessions information .. attribute:: session xml sessions information **type**\: list of :py:class:`Session <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Tty.Sessions.Session>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session = YList() self.session.parent = self self.session.name = 'session' class Session(object): """ xml sessions information .. attribute:: session_id <key> Session Id **type**\: int **range:** \-2147483648..2147483647 .. attribute:: admin_config_session_id Admin config session ID **type**\: str .. attribute:: alarm_notification is the session registered for alarm notifications **type**\: :py:class:`XrXmlSessionAlarmRegisterEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionAlarmRegisterEnum>` .. attribute:: client_address ip address of the client **type**\: str .. attribute:: client_port client's port **type**\: int **range:** 0..4294967295 .. attribute:: config_session_id Config session ID **type**\: str .. attribute:: elapsed_time Elapsed time(seconds) since a session is created **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: last_state_change Time(seconds) since last session state change happened **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: start_time session start time in seconds since the Unix Epoch **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: state state of the session idle/busy **type**\: :py:class:`XrXmlSessionStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionStateEnum>` .. attribute:: username Username **type**\: str .. attribute:: vrf_name VRF name **type**\: str """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session_id = None self.admin_config_session_id = None self.alarm_notification = None self.client_address = None self.client_port = None self.config_session_id = None self.elapsed_time = None self.last_state_change = None self.start_time = None self.state = None self.username = None self.vrf_name = None @property def _common_path(self): if self.session_id is None: raise YPYModelError('Key property session_id is None') return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions/Cisco-IOS-XR-man-xml-ttyagent-oper:session[Cisco-IOS-XR-man-xml-ttyagent-oper:session-id = ' + str(self.session_id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session_id is not None: return True if self.admin_config_session_id is not None: return True if self.alarm_notification is not None: return True if self.client_address is not None: return True if self.client_port is not None: return True if self.config_session_id is not None: return True if self.elapsed_time is not None: return True if self.last_state_change is not None: return True if self.start_time is not None: return True if self.state is not None: return True if self.username is not None: return True if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Tty.Sessions.Session']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session is not None: for child_ref in self.session: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Tty.Sessions']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:tty' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.sessions is not None and self.sessions._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Tty']['meta_info'] class Default(object): """ Default sessions information .. attribute:: sessions sessions information **type**\: :py:class:`Sessions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Default.Sessions>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.sessions = XrXml.Agent.Default.Sessions() self.sessions.parent = self class Sessions(object): """ sessions information .. attribute:: session xml sessions information **type**\: list of :py:class:`Session <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Default.Sessions.Session>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session = YList() self.session.parent = self self.session.name = 'session' class Session(object): """ xml sessions information .. attribute:: session_id <key> Session Id **type**\: int **range:** \-2147483648..2147483647 .. attribute:: admin_config_session_id Admin config session ID **type**\: str .. attribute:: alarm_notification is the session registered for alarm notifications **type**\: :py:class:`XrXmlSessionAlarmRegisterEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionAlarmRegisterEnum>` .. attribute:: client_address ip address of the client **type**\: str .. attribute:: client_port client's port **type**\: int **range:** 0..4294967295 .. attribute:: config_session_id Config session ID **type**\: str .. attribute:: elapsed_time Elapsed time(seconds) since a session is created **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: last_state_change Time(seconds) since last session state change happened **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: start_time session start time in seconds since the Unix Epoch **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: state state of the session idle/busy **type**\: :py:class:`XrXmlSessionStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionStateEnum>` .. attribute:: username Username **type**\: str .. attribute:: vrf_name VRF name **type**\: str """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session_id = None self.admin_config_session_id = None self.alarm_notification = None self.client_address = None self.client_port = None self.config_session_id = None self.elapsed_time = None self.last_state_change = None self.start_time = None self.state = None self.username = None self.vrf_name = None @property def _common_path(self): if self.session_id is None: raise YPYModelError('Key property session_id is None') return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:default/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions/Cisco-IOS-XR-man-xml-ttyagent-oper:session[Cisco-IOS-XR-man-xml-ttyagent-oper:session-id = ' + str(self.session_id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session_id is not None: return True if self.admin_config_session_id is not None: return True if self.alarm_notification is not None: return True if self.client_address is not None: return True if self.client_port is not None: return True if self.config_session_id is not None: return True if self.elapsed_time is not None: return True if self.last_state_change is not None: return True if self.start_time is not None: return True if self.state is not None: return True if self.username is not None: return True if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Default.Sessions.Session']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:default/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session is not None: for child_ref in self.session: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Default.Sessions']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:default' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.sessions is not None and self.sessions._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Default']['meta_info'] class Ssl(object): """ SSL sessions information .. attribute:: sessions sessions information **type**\: :py:class:`Sessions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Ssl.Sessions>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.sessions = XrXml.Agent.Ssl.Sessions() self.sessions.parent = self class Sessions(object): """ sessions information .. attribute:: session xml sessions information **type**\: list of :py:class:`Session <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXml.Agent.Ssl.Sessions.Session>` """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session = YList() self.session.parent = self self.session.name = 'session' class Session(object): """ xml sessions information .. attribute:: session_id <key> Session Id **type**\: int **range:** \-2147483648..2147483647 .. attribute:: admin_config_session_id Admin config session ID **type**\: str .. attribute:: alarm_notification is the session registered for alarm notifications **type**\: :py:class:`XrXmlSessionAlarmRegisterEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionAlarmRegisterEnum>` .. attribute:: client_address ip address of the client **type**\: str .. attribute:: client_port client's port **type**\: int **range:** 0..4294967295 .. attribute:: config_session_id Config session ID **type**\: str .. attribute:: elapsed_time Elapsed time(seconds) since a session is created **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: last_state_change Time(seconds) since last session state change happened **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: start_time session start time in seconds since the Unix Epoch **type**\: int **range:** 0..4294967295 **units**\: second .. attribute:: state state of the session idle/busy **type**\: :py:class:`XrXmlSessionStateEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_man_xml_ttyagent_oper.XrXmlSessionStateEnum>` .. attribute:: username Username **type**\: str .. attribute:: vrf_name VRF name **type**\: str """ _prefix = 'man-xml-ttyagent-oper' _revision = '2015-07-30' def __init__(self): self.parent = None self.session_id = None self.admin_config_session_id = None self.alarm_notification = None self.client_address = None self.client_port = None self.config_session_id = None self.elapsed_time = None self.last_state_change = None self.start_time = None self.state = None self.username = None self.vrf_name = None @property def _common_path(self): if self.session_id is None: raise YPYModelError('Key property session_id is None') return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:ssl/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions/Cisco-IOS-XR-man-xml-ttyagent-oper:session[Cisco-IOS-XR-man-xml-ttyagent-oper:session-id = ' + str(self.session_id) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session_id is not None: return True if self.admin_config_session_id is not None: return True if self.alarm_notification is not None: return True if self.client_address is not None: return True if self.client_port is not None: return True if self.config_session_id is not None: return True if self.elapsed_time is not None: return True if self.last_state_change is not None: return True if self.start_time is not None: return True if self.state is not None: return True if self.username is not None: return True if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Ssl.Sessions.Session']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:ssl/Cisco-IOS-XR-man-xml-ttyagent-oper:sessions' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.session is not None: for child_ref in self.session: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Ssl.Sessions']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent/Cisco-IOS-XR-man-xml-ttyagent-oper:ssl' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.sessions is not None and self.sessions._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent.Ssl']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml/Cisco-IOS-XR-man-xml-ttyagent-oper:agent' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.default is not None and self.default._has_data(): return True if self.ssl is not None and self.ssl._has_data(): return True if self.tty is not None and self.tty._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml.Agent']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-man-xml-ttyagent-oper:xr-xml' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return False def _has_data(self): if not self.is_config(): return False if self.agent is not None and self.agent._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_man_xml_ttyagent_oper as meta return meta._meta_table['XrXml']['meta_info']

34.804059

324

0.45541

4,123

44,584

4.715984

0.035654

0.057601

0.072002

0.10646

0.936227

0.92841

0.925118

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0

0.017061

0.471492

44,584

1,280

325

34.83125

0.808131

0.237933

0

0.88

0

0.026667

0.137289

0.11561

0

1

0.15619

false

0

0.04381

0.022857

0.52381

0

null

0

1

0

1

0

null

0

1

0

8

308d723f29dc1e01986c05bc6425fb153aee081a

4,082

py

Python

test.py

gautamdasika/carddeckshuffle

17dcf1c48a9090e9cc63ab165614ca62428fba18

[ "MIT" ]

null

test.py

gautamdasika/carddeckshuffle

17dcf1c48a9090e9cc63ab165614ca62428fba18

[ "MIT" ]

null

test.py

gautamdasika/carddeckshuffle

17dcf1c48a9090e9cc63ab165614ca62428fba18

[ "MIT" ]

null

from application import app import unittest, flask from math import floor class FlaskTestCase(unittest.TestCase): # Ensure that home page loads correctly def test_index_loads(self): tester = app.test_client(self) response = tester.get('/', content_type='html/text') self.assertEqual(response.status_code, 200) self.assertTrue(b'Welcome to deck of cards' in response.data) # Ensure that display page loads correctly def test_display_loads(self): with app.test_client() as c: c.get('/createdeck') rv = c.get('/display?deck=deck1') self.assertEqual(rv.status_code, 200) assert 'decks' in flask.session assert 'deck1' in flask.session['decks'] assert 'current_deck' in flask.session['decks']['deck1'] assert 'dealt_cards' in flask.session['decks']['deck1'] assert len(flask.session['decks']['deck1']['current_deck']) == 52 assert len(flask.session['decks']['deck1']['dealt_cards']) == 0 assert b'deck name' in rv.data assert b'cards' in rv.data assert b'dealt cards' in rv.data # Ensure that create deck loads correctly def test_create_deck_loads(self): with app.test_client() as c: rv = c.get('/createdeck') self.assertEqual(rv.status_code, 200) assert 'decks' in flask.session assert 'deck1' in flask.session['decks'] assert 'current_deck' in flask.session['decks']['deck1'] assert 'dealt_cards' in flask.session['decks']['deck1'] assert len(flask.session['decks']['deck1']['current_deck']) == 52 assert len(flask.session['decks']['deck1']['dealt_cards']) == 0 assert b'deck name' in rv.data assert b'cards' in rv.data assert b'dealt cards' in rv.data # Ensure that pop deck loads correctly def test_pop_deck_loads(self): with app.test_client() as c: c.get('/createdeck') rv = c.get('/pop?deck=deck1') self.assertEqual(rv.status_code, 200) assert len(flask.session['decks']['deck1']['current_deck']) == 51 assert len(flask.session['decks']['deck1']['dealt_cards']) == 1 assert b'deck name' in rv.data assert b'cards' in rv.data assert b'dealt cards' in rv.data # Ensure that shuffle deck loads correctly def test_shuffle_deck_loads(self): with app.test_client() as c: ru = c.get('/createdeck') old_deck = flask.session['decks']['deck1']['current_deck'] rv = c.get('/shuffle?deck=deck1') self.assertEqual(rv.status_code, 200) new_deck = flask.session['decks']['deck1']['current_deck'] assert old_deck != new_deck assert len(flask.session['decks']['deck1']['current_deck']) == 52 assert len(flask.session['decks']['deck1']['dealt_cards']) == 0 assert b'deck name' in rv.data assert b'cards' in rv.data assert b'dealt cards' in rv.data # Ensure that cut deck loads correctly def test_cut_deck_loads(self): with app.test_client() as c: ru = c.get('/createdeck') old_deck = flask.session['decks']['deck1']['current_deck'] rv = c.get('/cut?deck=deck1') self.assertEqual(rv.status_code, 200) new_deck = flask.session['decks']['deck1']['current_deck'] assert old_deck != new_deck assert old_deck[:floor(len(old_deck)/2)] == new_deck[floor(len(old_deck)/2):] assert new_deck[:floor(len(old_deck)/2)] == old_deck[floor(len(old_deck)/2):] assert len(flask.session['decks']['deck1']['current_deck']) == 52 assert len(flask.session['decks']['deck1']['dealt_cards']) == 0 assert b'deck name' in rv.data assert b'cards' in rv.data assert b'dealt cards' in rv.data if __name__ == '__main__': unittest.main()

44.857143

89

0.594317

537

4,082

4.385475

0.130354

0.112102

0.144374

0.168153

0.83397

0.770276

0.728662

0.695966

0.657325

0

0.020477

0.270211

4,082

91

90

44.857143

0.770057

0.05708

0

0.671053

0

0.184491

0

0.578947

1

0.078947

false

0

0.039474

0

0.131579

0

null

0

1

0

1

0

null

0

1

0

7

eb55406fa8f61820e11b23632f625b477bdb92bc

310

py

Python

src/pypdfium2/_helpers/__init__.py

pypdfium2-team/pypdfium2

9a1796ba9f058102997652086a48e28af9cd3579

[ "Apache-2.0", "BSD-3-Clause" ]

17

2021-12-13T05:36:20.000Z

2022-03-13T22:56:16.000Z

src/pypdfium2/_helpers/__init__.py

pypdfium2-team/pypdfium2

9a1796ba9f058102997652086a48e28af9cd3579

[ "Apache-2.0", "BSD-3-Clause" ]

51

2021-12-04T13:21:35.000Z

2022-03-28T13:33:29.000Z

src/pypdfium2/_helpers/__init__.py

pypdfium2-team/pypdfium2

9a1796ba9f058102997652086a48e28af9cd3579

[ "Apache-2.0", "BSD-3-Clause" ]

2

2022-02-01T22:56:47.000Z

2022-03-16T13:26:35.000Z

# SPDX-FileCopyrightText: 2022 geisserml <geisserml@gmail.com> # SPDX-License-Identifier: Apache-2.0 OR BSD-3-Clause # full support model namespace from pypdfium2._helpers.misc import * from pypdfium2._helpers.document import * from pypdfium2._helpers.page import * from pypdfium2._helpers.textpage import *

31

62

0.803226

41

310

5.97561

0.658537

0.212245

0.326531

0.318367

0

0.039711

0.106452

310

9

63

34.444444

0.844765

0.454839

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

eb612833faf65e7cc96999d13b9c812412d5a1bc

1,623

py

Python

core/arguments/command_line_arguments.py

eugene-the-red/automata-core

8470232ac17410fb907cb285b8102c1712699740

[ "Unlicense" ]

null

core/arguments/command_line_arguments.py

eugene-the-red/automata-core

8470232ac17410fb907cb285b8102c1712699740

[ "Unlicense" ]

null

core/arguments/command_line_arguments.py

eugene-the-red/automata-core

8470232ac17410fb907cb285b8102c1712699740

[ "Unlicense" ]

null

import argparse from metainfo.MetaInfo import MetaInfo from core.arguments.ParseDictionaryArgs import ParseDictionaryArgs def option_arg_parser(meta_info: MetaInfo) -> argparse.ArgumentParser: version = meta_info.get_version() description = meta_info.get_description() command_line_argument_parser = argparse.ArgumentParser( usage='%(prog)s [OPTIONS]', description=description ) command_line_argument_parser.set_defaults(version=version) command_line_argument_parser.add_argument( '-v', '--version', action='version', version=f'{description} version {version}' ) command_line_argument_parser.add_argument('--options', nargs='*', required=False, help=f'Specific options for {description}.', action=ParseDictionaryArgs, default=100) return command_line_argument_parser def url_option_arg_parser(meta_info: MetaInfo) -> argparse.ArgumentParser: version = meta_info.get_version() description = meta_info.get_description() command_line_argument_parser = argparse.ArgumentParser( usage='%(prog)s [OPTIONS]', description=description ) command_line_argument_parser.set_defaults(version=version) command_line_argument_parser.add_argument( '-v', '--version', action='version', version=f'{description} version {version}' ) command_line_argument_parser.add_argument('url', help='URL') command_line_argument_parser.add_argument('--options', nargs='*', required=False, help=f'Specific options for {description}.', action=ParseDictionaryArgs) return command_line_argument_parser

31.211538

171

0.742452

179

1,623

6.424581

0.223464

0.105217

0.181739

0.23913

0.88

0.826087

0

0.002179

0.151571

1,623

51

172

31.823529

0.83297

0

0.625

0

0.141713

0

1

0.0625

false

0

0.09375

0

0.21875

0

null

0

1

0

null

0

8

ebd15e68c3413567c68407946c52a009d500f382

430

py

Python

temboo/core/Library/Mixpanel/DataExport/Events/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Mixpanel/DataExport/Events/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Mixpanel/DataExport/Events/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.Mixpanel.DataExport.Events.EventData import EventData, EventDataInputSet, EventDataResultSet, EventDataChoreographyExecution from temboo.Library.Mixpanel.DataExport.Events.TopEvents import TopEvents, TopEventsInputSet, TopEventsResultSet, TopEventsChoreographyExecution from temboo.Library.Mixpanel.DataExport.Events.TopNames import TopNames, TopNamesInputSet, TopNamesResultSet, TopNamesChoreographyExecution

107.5

144

0.895349

36

430

10.694444

0.527778

0.077922

0.132468

0.194805

0.319481

0

0.048837

430

3

145

143.333333

0.94132

0

1

0

true

0

1

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

ebe6cddeb75d6a71ead357d175366b10084f0539

807

py

Python

5.bloomfilter/bloomfilter.py

FrankHitman/playRedis

492d9cf8b1ebff77495400caa2d74e68a5be144d

[ "MIT" ]

null

5.bloomfilter/bloomfilter.py

FrankHitman/playRedis

492d9cf8b1ebff77495400caa2d74e68a5be144d

[ "MIT" ]

null

5.bloomfilter/bloomfilter.py

FrankHitman/playRedis

492d9cf8b1ebff77495400caa2d74e68a5be144d

[ "MIT" ]

null

# coding: utf-8 # import redis # # client = redis.StrictRedis(port=6679) # client.delete("codehole") # for i in range(100000): # client.execute_command("bf.add", "codehole", "user%d" % i) # ret = client.execute_command("bf.exists", "codehole", "user%d" % i) # if ret == 0: # print(i) # break import redis client = redis.StrictRedis(port=6679) client.delete("codehole") for i in range(100000): client.execute_command("bf.add", "codehole", "user%d" % i) ret = client.execute_command("bf.exists", "codehole", "user%d" % (i + 1)) if ret == 1: print(i) break # output # 310 # 127.0.0.1:6679> bf.exists codehole user310 # (integer) 1 # 127.0.0.1:6679> bf.exists codehole user311 # (integer) 1 # 127.0.0.1:6679> bf.exists codehole user312 # (integer) 0

23.735294

77

0.625774

119

807

4.210084

0.302521

0.07984

0.159681

0.175649

0.834331

0.782435

0

0.106646

0.198265

807

33

78

24.454545

0.667697

0.586121

0

0.16242

0

1

0

false

0

0.111111

0

0.111111

0

null

0

1

0

null

0

7

ebe817ac3e21270f4778191911e6a86780c15521

334

py

Python

src/mykrobe/stats/__init__.py

chamilaadikaram/mykrobe

2bcebf7b37f1c1416f397374da6ebfd02ce1aead

[ "MIT" ]

1

2020-01-10T06:43:22.000Z

src/mykrobe/stats/__init__.py

chamilaadikaram/mykrobe

2bcebf7b37f1c1416f397374da6ebfd02ce1aead

[ "MIT" ]

null

src/mykrobe/stats/__init__.py

chamilaadikaram/mykrobe

2bcebf7b37f1c1416f397374da6ebfd02ce1aead

[ "MIT" ]

null

from mykrobe.stats.stats import percent_coverage_from_expected_coverage from mykrobe.stats.stats import log_factorial from mykrobe.stats.stats import log_lik_depth from mykrobe.stats.stats import log_lik_R_S_coverage from mykrobe.stats.stats import log_lik_probability_of_N_gaps from mykrobe.stats.stats import log_lik_R_S_kmer_count

47.714286

71

0.892216

57

334

4.859649

0.333333

0.238267

0.34657

0.454874

0.754513

0.65704

0.252708

0

0.071856

334

6

72

55.666667

0.893548

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

cce768f20af5b687809ee6e0711fdedaa638d551

3,562

py

Python

test/test_algs.py

cechlauren/Homework1

3f342d2ee5ebe81dbcd544686c41f46928810cab

[ "Apache-2.0" ]

null

test/test_algs.py

cechlauren/Homework1

3f342d2ee5ebe81dbcd544686c41f46928810cab

[ "Apache-2.0" ]

null

test/test_algs.py

cechlauren/Homework1

3f342d2ee5ebe81dbcd544686c41f46928810cab

[ "Apache-2.0" ]

null

import numpy as np from Homework1sub import algs def test_pointless_sort(): # generate random vector of length 10 x = np.random.rand(10) # check that pointless_sort always returns [1,2,3] assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3])) # generate a new random vector of length 10 x = np.random.rand(10) # check that pointless_sort still returns [1,2,3] assert np.array_equal(algs.pointless_sort(x), np.array([1,2,3])) def test_insertionsort(): # Actually test insertionsort here. It might be useful to think about # some edge cases for your code, where it might fail. Some things to # think about: (1) does your code handle 0-element arrays without # failing, (2) does your code handle characters? x = np.array([1,2,4,0,1]).tolist() rho = [100,84.5,9,0.0045] epsilon = [] sigma = [1] delta = [9, 9, 8, 8, 7, 7, 1, 2, 1] omega = [5, 4, 3, 2, 1] alpha = [0, 9, 8, 1] # for now, just attempt to call the bubblesort function, should # actually check output algs.insertionsort(x) assert np.array_equal(algs.insertionsort(rho), np.array([0.0045, 9, 84.5, 100]).tolist()) assert np.array_equal(algs.insertionsort(epsilon), np.array([]).tolist()) assert np.array_equal(algs.insertionsort(sigma), np.array([1]).tolist()) assert np.array_equal(algs.insertionsort(delta), np.array([1, 1, 2, 7, 7, 8, 8, 9, 9]).tolist()) assert np.array_equal(algs.insertionsort(omega), np.array([1, 2, 3, 4, 5]).tolist()) assert np.array_equal(algs.insertionsort(alpha), np.array([0, 1, 8, 9]).tolist()) def test_bubblesort(): # Actually test bubblesort here. It might be useful to think about # some edge cases for your code, where it might fail. Some things to # think about: (1) does your code handle 0-element arrays without # failing, (2) does your code handle characters? x = np.array([1,2,4,0,1]) rho = [100,84.5,9,0.0045] epsilon = [] sigma = [1] delta = [9, 9, 8, 8, 7, 7, 1, 2, 1] omega = [5, 4, 3, 2, 1] alpha = [0, 9, 8, 1] # for now, just attempt to call the bubblesort function, should # actually check output algs.bubblesort(x) assert np.array_equal(algs.bubblesort(rho), np.array([0.0045, 9, 84.5, 100]).tolist()) assert np.array_equal(algs.bubblesort(epsilon), np.array([]).tolist()) assert np.array_equal(algs.bubblesort(sigma), np.array([1]).tolist()) assert np.array_equal(algs.bubblesort(delta), np.array([1, 1, 2, 7, 7, 8, 8, 9, 9]).tolist()) assert np.array_equal(algs.bubblesort(omega), np.array([1, 2, 3, 4, 5]).tolist()) assert np.array_equal(algs.bubblesort(alpha), np.array([0, 1, 8, 9]).tolist()) def test_quicksort(): x = np.array([1,2,4,0,1]).tolist() rho = [100,84.5,9,0.0045] epsilon = [] sigma = [1] delta = [9, 9, 8, 8, 7, 7, 1, 2, 1] omega = [5, 4, 3, 2, 1] alpha = [0, 9, 8, 1] # for now, just attempt to call the quicksort function, should # actually check output algs.quicksort(x) assert np.array_equal(algs.quicksort(rho), np.array([0.0045, 9, 84.5, 100]).tolist()) assert np.array_equal(algs.quicksort(epsilon), np.array([]).tolist()) assert np.array_equal(algs.quicksort(sigma), np.array([1]).tolist()) assert np.array_equal(algs.quicksort(delta), np.array([1, 1, 2, 7, 7, 8, 8, 9, 9]).tolist()) assert np.array_equal(algs.quicksort(omega), np.array([1, 2, 3, 4, 5]).tolist()) assert np.array_equal(algs.quicksort(alpha), np.array([0, 1, 8, 9]).tolist())

42.915663

100

0.640371

595

3,562

3.784874

0.141176

0.133659

0.115453

0.159858

0.902753

0.841474

0.770426

0.760657

0.704707

0

0.079332

0.19315

3,562

82

101

43.439024

0.704245

0.256597

0

0.461538

1

0

0.384615

1

0.076923

false

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0

null

0

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1

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null

0

7

692164443b2b91e19fc4478efce723eff38df503

92,608

py

Python

requirements.py

BadPramaya/Advance-Banner

cdf19c64c956150a0a45f5e499d5dc537d1d3da2

[ "MIT" ]

44

2020-12-19T10:05:51.000Z

2022-03-26T01:26:10.000Z

requirements.py

BadPramaya/Advance-Banner

cdf19c64c956150a0a45f5e499d5dc537d1d3da2

[ "MIT" ]

null

requirements.py

BadPramaya/Advance-Banner

cdf19c64c956150a0a45f5e499d5dc537d1d3da2

[ "MIT" ]

10

2021-09-04T08:37:05.000Z

2022-03-26T01:25:57.000Z

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1

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0

1

0

7

692a5b7de492eced7b01e6ec95c34e06284515ca

1,510

py

Python

page/models.py

ChoiEunji0114/mju_festival

a28a6600b51925288a861babefe3f2b1f01f68c6

[ "MIT" ]

7

2019-05-09T15:18:17.000Z

2019-05-16T15:46:25.000Z

page/models.py

ChoiEunji0114/mju_festival

a28a6600b51925288a861babefe3f2b1f01f68c6

[ "MIT" ]

7

2020-06-05T20:48:43.000Z

2022-02-10T07:15:09.000Z

page/models.py

ChoiEunji0114/mju_festival

a28a6600b51925288a861babefe3f2b1f01f68c6

[ "MIT" ]

3

2019-05-12T07:30:48.000Z

2019-05-15T12:33:05.000Z

from django.db import models # Create your models here. class Food(models.Model): title = models.CharField(max_length=20) image = models.ImageField() menu = models.CharField(max_length=20) price = models.CharField(max_length=20) content = models.TextField() def __str__(self): return self.title class Organization(models.Model): image = models.ImageField(blank=True) title = models.CharField(max_length=40) description = models.TextField() time = models.CharField(max_length=40, blank=True) subtitle1 = models.CharField(max_length=40, blank=True) content1 = models.TextField(blank=True) subtitle2 = models.CharField(max_length=40, blank=True) content2 = models.TextField(blank=True) location = models.CharField(max_length=40, blank=True) hyperlink = models.CharField(max_length=40, blank=True) def __str__(self): return self.title class Individual(models.Model): image = models.ImageField(blank=True) title = models.CharField(max_length=40) description = models.TextField() time = models.CharField(max_length=40, blank=True) subtitle1 = models.CharField(max_length=40, blank=True) content1 = models.TextField(blank=True) subtitle2 = models.CharField(max_length=40, blank=True) content2 = models.TextField(blank=True) location = models.CharField(max_length=40, blank=True) hyperlink = models.CharField(max_length=40, blank=True) def __str__(self): return self.title

35.952381

59

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191

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1

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null

0

1

0

10

15d6cefb5a2e86ff6606796b443f2a04c434b65e

145

py

Python

src/spaceone/plugin/info/__init__.py

whdalsrnt/plugin

2ec97749f5f25ad4e5ee6b2c78afd2a309a751b7

[ "Apache-2.0" ]

6

2020-06-10T01:57:23.000Z

2020-08-10T02:45:26.000Z

src/spaceone/plugin/info/__init__.py

whdalsrnt/plugin

2ec97749f5f25ad4e5ee6b2c78afd2a309a751b7

[ "Apache-2.0" ]

5

2020-08-04T06:49:47.000Z

2021-07-21T08:44:44.000Z

src/spaceone/plugin/info/__init__.py

whdalsrnt/plugin

2ec97749f5f25ad4e5ee6b2c78afd2a309a751b7

[ "Apache-2.0" ]

4

2020-06-10T01:57:25.000Z

2021-10-21T04:24:28.000Z

from spaceone.plugin.info.common_info import * from spaceone.plugin.info.supervisor_info import * from spaceone.plugin.info.plugin_info import *

36.25

50

0.834483

21

145

5.619048

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145

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0

1

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null

0

1

0

1

0

1

0

8

d66f8576b08c8336493785201c4a6e2c4e657e6b

3,128

py

Python

bvxm/crop_and_save.py

mirestrepo/voxels-at-lems

df47d031653d2ad877a97b3c1ea574b924b7d4c2

[ "BSD-2-Clause" ]

2

2015-09-18T00:17:16.000Z

2019-02-06T04:41:29.000Z

bvxm/crop_and_save.py

mirestrepo/voxels-at-lems

df47d031653d2ad877a97b3c1ea574b924b7d4c2

[ "BSD-2-Clause" ]

null

bvxm/crop_and_save.py

mirestrepo/voxels-at-lems

df47d031653d2ad877a97b3c1ea574b924b7d4c2

[ "BSD-2-Clause" ]

null

import bvxm_batch bvxm_batch.register_processes(); bvxm_batch.register_datatypes(); #Delay for debugging import time class dbvalue: def __init__(self, index, type): self.id = index # unsigned integer self.type = type # string input_dir = "/Users/isa/Experiments/CapitolSFM/capitol_rotated" output_dir = "/Users/isa/Experiments/CapitolSFM/smaller_capitol" print("Load Grid World"); bvxm_batch.init_process("bvxmLoadGridProcess"); bvxm_batch.set_input_string(0,input_dir + "/KL_gaussf1.vox"); bvxm_batch.set_input_string(1,"bsta_gauss_f1"); bvxm_batch.run_process(); (world_id,world_type)= bvxm_batch.commit_output(0); world = dbvalue(world_id,world_type); print("Crop Voxel World"); bvxm_batch.init_process("bvxmCropGridProcess"); bvxm_batch.set_params_process(output_dir +"/crop_grid_params.xml"); bvxm_batch.set_input_from_db(0,world); bvxm_batch.set_input_string(1, output_dir +"/KL_gaussf1.vox"); bvxm_batch.run_process(); (crop_world_id,crop_world_type)= bvxm_batch.commit_output(0); crop_world = dbvalue(crop_world_id,crop_world_type); print("Writing World"); bvxm_batch.init_process("bvxmSaveGridRawProcess"); bvxm_batch.set_input_from_db(0,crop_world); bvxm_batch.set_input_string(1,output_dir + "/KL_gaussf1.raw"); bvxm_batch.run_process(); print("Load Grid World"); bvxm_batch.init_process("bvxmLoadGridProcess"); bvxm_batch.set_input_string(0,input_dir + "/MPM_gaussf1.vox"); bvxm_batch.set_input_string(1,"bsta_gauss_f1"); bvxm_batch.run_process(); (world_id,world_type)= bvxm_batch.commit_output(0); world = dbvalue(world_id,world_type); print("Crop Voxel World"); bvxm_batch.init_process("bvxmCropGridProcess"); bvxm_batch.set_params_process(output_dir +"/crop_grid_params.xml"); bvxm_batch.set_input_from_db(0,world); bvxm_batch.set_input_string(1,output_dir +"/MPM_gaussf1.vox"); bvxm_batch.run_process(); (crop_world_id,crop_world_type)= bvxm_batch.commit_output(0); crop_world = dbvalue(crop_world_id,crop_world_type); print("Writing World"); bvxm_batch.init_process("bvxmSaveGridRawProcess"); bvxm_batch.set_input_from_db(0,crop_world); bvxm_batch.set_input_string(1,output_dir + "/MPM_gaussf1.raw"); bvxm_batch.run_process(); print("Load Grid World"); bvxm_batch.init_process("bvxmLoadGridProcess"); bvxm_batch.set_input_string(0,input_dir + "/ocp.vox"); bvxm_batch.set_input_string(1,"float"); bvxm_batch.run_process(); (world_id,world_type)= bvxm_batch.commit_output(0); world = dbvalue(world_id,world_type); print("Crop Voxel World"); bvxm_batch.init_process("bvxmCropGridProcess"); bvxm_batch.set_params_process(output_dir + "/crop_grid_params.xml"); bvxm_batch.set_input_from_db(0,world); bvxm_batch.set_input_string(1, output_dir + "/ocp.vox"); bvxm_batch.run_process(); (crop_world_id,crop_world_type)= bvxm_batch.commit_output(0); crop_world = dbvalue(crop_world_id,crop_world_type); print("Writing World"); bvxm_batch.init_process("bvxmSaveGridRawProcess"); bvxm_batch.set_input_from_db(0,crop_world); bvxm_batch.set_input_string(1,output_dir + "/ocp.raw"); bvxm_batch.run_process();

35.954023

69

0.782289

472

3,128

4.760593

0.129237

0.192256

0.11215

0.136182

0.904762

0.865154

0.862928

0.850912

0

0.011169

0.084079

3,128

86

70

36.372093

0.773124

0.013747

0

0.714286

0

0.207276

0.075768

0

1

0.014286

false

0

0.028571

0

0.057143

0.128571

0

null

0

1

0

1

0

null

0

7

ba5d6cc3852b05bbc775e5a2ba8ddcf0caff44fd

20,704

py

Python

iengage_client/apis/rewards_api.py

iEngage/python-sdk

76cc6ed697d7599ce9af74124c12d33ad5aff419

[ "Apache-2.0" ]

null

iengage_client/apis/rewards_api.py

iEngage/python-sdk

76cc6ed697d7599ce9af74124c12d33ad5aff419

[ "Apache-2.0" ]

null

iengage_client/apis/rewards_api.py

iEngage/python-sdk

76cc6ed697d7599ce9af74124c12d33ad5aff419

[ "Apache-2.0" ]

null

# coding: utf-8 """ iEngage 2.0 API This API enables Intelligent Engagement for your Business. iEngage is a platform that combines process, augmented intelligence and rewards to help you intelligently engage customers. OpenAPI spec version: 2.0 Generated by: https://github.com/swagger-api/swagger-codegen.git 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 __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class RewardsApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def get_top_friends(self, user_id, start, end, requester_id, client_token, **kwargs): """ Get list of top friends Returns the list top friends This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_top_friends(user_id, start, end, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int user_id: userId (required) :param int start: start, initial value start from 0 (required) :param int end: end (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPointsList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_top_friends_with_http_info(user_id, start, end, requester_id, client_token, **kwargs) else: (data) = self.get_top_friends_with_http_info(user_id, start, end, requester_id, client_token, **kwargs) return data def get_top_friends_with_http_info(self, user_id, start, end, requester_id, client_token, **kwargs): """ Get list of top friends Returns the list top friends This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_top_friends_with_http_info(user_id, start, end, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int user_id: userId (required) :param int start: start, initial value start from 0 (required) :param int end: end (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPointsList If the method is called asynchronously, returns the request thread. """ all_params = ['user_id', 'start', 'end', 'requester_id', 'client_token', 'access_token'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_top_friends" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in params) or (params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `get_top_friends`") # verify the required parameter 'start' is set if ('start' not in params) or (params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `get_top_friends`") # verify the required parameter 'end' is set if ('end' not in params) or (params['end'] is None): raise ValueError("Missing the required parameter `end` when calling `get_top_friends`") # verify the required parameter 'requester_id' is set if ('requester_id' not in params) or (params['requester_id'] is None): raise ValueError("Missing the required parameter `requester_id` when calling `get_top_friends`") # verify the required parameter 'client_token' is set if ('client_token' not in params) or (params['client_token'] is None): raise ValueError("Missing the required parameter `client_token` when calling `get_top_friends`") resource_path = '/rewards/points/top/friends'.replace('{format}', 'json') path_params = {} query_params = {} if 'user_id' in params: query_params['userId'] = params['user_id'] if 'start' in params: query_params['start'] = params['start'] if 'end' in params: query_params['end'] = params['end'] header_params = {} if 'requester_id' in params: header_params['requesterId'] = params['requester_id'] if 'access_token' in params: header_params['accessToken'] = params['access_token'] if 'client_token' in params: header_params['clientToken'] = params['client_token'] form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['default'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VerveResponseUserPointsList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def get_top_users(self, start, end, requester_id, client_token, **kwargs): """ Get list of top users Returns the list of top users This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_top_users(start, end, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int start: start, initial value start from 0 (required) :param int end: end (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPointsList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_top_users_with_http_info(start, end, requester_id, client_token, **kwargs) else: (data) = self.get_top_users_with_http_info(start, end, requester_id, client_token, **kwargs) return data def get_top_users_with_http_info(self, start, end, requester_id, client_token, **kwargs): """ Get list of top users Returns the list of top users This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_top_users_with_http_info(start, end, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int start: start, initial value start from 0 (required) :param int end: end (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPointsList If the method is called asynchronously, returns the request thread. """ all_params = ['start', 'end', 'requester_id', 'client_token', 'access_token'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_top_users" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'start' is set if ('start' not in params) or (params['start'] is None): raise ValueError("Missing the required parameter `start` when calling `get_top_users`") # verify the required parameter 'end' is set if ('end' not in params) or (params['end'] is None): raise ValueError("Missing the required parameter `end` when calling `get_top_users`") # verify the required parameter 'requester_id' is set if ('requester_id' not in params) or (params['requester_id'] is None): raise ValueError("Missing the required parameter `requester_id` when calling `get_top_users`") # verify the required parameter 'client_token' is set if ('client_token' not in params) or (params['client_token'] is None): raise ValueError("Missing the required parameter `client_token` when calling `get_top_users`") resource_path = '/rewards/points/top'.replace('{format}', 'json') path_params = {} query_params = {} if 'start' in params: query_params['start'] = params['start'] if 'end' in params: query_params['end'] = params['end'] header_params = {} if 'requester_id' in params: header_params['requesterId'] = params['requester_id'] if 'access_token' in params: header_params['accessToken'] = params['access_token'] if 'client_token' in params: header_params['clientToken'] = params['client_token'] form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['default'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VerveResponseUserPointsList', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def get_user_points(self, user_id, requester_id, client_token, **kwargs): """ Get list of user points Returns the list of user points This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_user_points(user_id, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int user_id: User Id whose points wants to get (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPoints If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_user_points_with_http_info(user_id, requester_id, client_token, **kwargs) else: (data) = self.get_user_points_with_http_info(user_id, requester_id, client_token, **kwargs) return data def get_user_points_with_http_info(self, user_id, requester_id, client_token, **kwargs): """ Get list of user points Returns the list of user points This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_user_points_with_http_info(user_id, requester_id, client_token, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param int user_id: User Id whose points wants to get (required) :param str requester_id: requesterId can be user id OR email address. (required) :param str client_token: Use the Client Token. Please generate it from the Applications section under the Production & Sandbox tabs (required) :param str access_token: Unique session token for user. To get access token user will have to authenticate :return: VerveResponseUserPoints If the method is called asynchronously, returns the request thread. """ all_params = ['user_id', 'requester_id', 'client_token', 'access_token'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_user_points" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'user_id' is set if ('user_id' not in params) or (params['user_id'] is None): raise ValueError("Missing the required parameter `user_id` when calling `get_user_points`") # verify the required parameter 'requester_id' is set if ('requester_id' not in params) or (params['requester_id'] is None): raise ValueError("Missing the required parameter `requester_id` when calling `get_user_points`") # verify the required parameter 'client_token' is set if ('client_token' not in params) or (params['client_token'] is None): raise ValueError("Missing the required parameter `client_token` when calling `get_user_points`") resource_path = '/rewards/points/{userId}'.replace('{format}', 'json') path_params = {} if 'user_id' in params: path_params['userId'] = params['user_id'] query_params = {} header_params = {} if 'requester_id' in params: header_params['requesterId'] = params['requester_id'] if 'access_token' in params: header_params['accessToken'] = params['access_token'] if 'client_token' in params: header_params['clientToken'] = params['client_token'] form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['default'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VerveResponseUserPoints', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'))

47.054545

186

0.615195

2,392

20,704

5.139214

0.098662

0.045636

0.039047

0.037582

0.906044

0.890181

0.882535

0.876352

0.870007

0.865696

0

0.001043

0.305352

20,704

439

187

47.161731

0.853706

0.390939

0

0.736585

0

0.217845

0.02835

0

1

0.034146

false

0

0.034146

0

0.117073

0

null

0

1

0

1

0

null

0

7

ba91a8ee63854b937475006d83fed5b7c2d176d6

23,256

py

Python

nexpose/nexpose_credential.py

Patralos/nexpose-client-python

bec81da29883b1b004046e29a9e7f7a6686467c1

[ "BSD-3-Clause" ]

29

2017-06-27T04:44:03.000Z

2021-11-29T15:04:00.000Z

nexpose/nexpose_credential.py

Patralos/nexpose-client-python

bec81da29883b1b004046e29a9e7f7a6686467c1

[ "BSD-3-Clause" ]

40

2017-06-21T18:00:49.000Z

2018-06-06T21:13:34.000Z

nexpose/nexpose_credential.py

Patralos/nexpose-client-python

bec81da29883b1b004046e29a9e7f7a6686467c1

[ "BSD-3-Clause" ]

23

2017-07-18T16:40:57.000Z

2021-01-26T09:58:53.000Z

# Future Imports for py2/3 backwards compat. from __future__ import (absolute_import, division, print_function, unicode_literals) # Auto-created by 'create_credential_code.py' from builtins import object from .xml_utils import create_element, get_content_of from .python_utils import is_subclass_of import sys from future import standard_library standard_library.install_aliases() def GetSupportedCredentials(): this_module = sys.modules[__name__] credentials = [this_module.__dict__[name] for name in dir(this_module) if is_subclass_of(this_module.__dict__[name], Credential)] for credential in credentials: if credential.SERVICE_TYPE: yield credential class Credential(object): SERVICE_TYPE = None DEFAULT_PORT = 0 # NOTE: factory method in a base class (not so-clean) @staticmethod def CreateFromXML(xml, service_type): for credential in GetSupportedCredentials(): if service_type == credential.SERVICE_TYPE: return credential.CreateFromXML(xml) return None # TODO: raise exception @staticmethod def CreateFromType(service_type): for credential in GetSupportedCredentials(): if service_type == credential.SERVICE_TYPE: return credential.Create() return None # TODO: raise exception def _create_field(key, value): field = create_element('Field', {'name': key}) field.text = value return field def _create_field_and_append(xml, key, value): xml.append(_create_field(key, value)) class Credential_RemoteExecution(Credential): SERVICE_TYPE = 'remote execution' DEFAULT_PORT = 512 @staticmethod def CreateFromXML(xml): credential = Credential_RemoteExecution() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_RemoteExecution() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) return xml class Credential_FTP(Credential): SERVICE_TYPE = 'ftp' DEFAULT_PORT = 21 @staticmethod def CreateFromXML(xml): credential = Credential_FTP() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_FTP() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) return xml class Credential_SSH_KEY(Credential): SERVICE_TYPE = 'ssh-key' DEFAULT_PORT = 22 @staticmethod def CreateFromXML(xml): credential = Credential_SSH_KEY() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.pemkey = get_content_of(xml, "Field/[@name='pemkey']", credential.pemkey) credential.privilege_elevation_username = get_content_of(xml, "Field/[@name='privilegeelevationusername']", credential.privilege_elevation_username) credential.privilege_elevation_password = get_content_of(xml, "Field/[@name='privilegeelevationpassword']", credential.privilege_elevation_password) credential.privilege_elevation_type = get_content_of(xml, "Field/[@name='privilegeelevationtype']", credential.privilege_elevation_type) return credential @staticmethod def Create(): credential = Credential_SSH_KEY() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.pemkey = '' self.privilege_elevation_username = '' self.privilege_elevation_password = '' self.privilege_elevation_type = PrivilegeElevationType.NONE def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'pemkey', self.pemkey) _create_field_and_append(xml, 'privilegeelevationusername', self.privilege_elevation_username) _create_field_and_append(xml, 'privilegeelevationpassword', self.privilege_elevation_password) _create_field_and_append(xml, 'privilegeelevationtype', self.privilege_elevation_type) return xml class Credential_HTTP(Credential): SERVICE_TYPE = 'http' DEFAULT_PORT = 80 @staticmethod def CreateFromXML(xml): credential = Credential_HTTP() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) return credential @staticmethod def Create(): credential = Credential_HTTP() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.domain = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'domain', self.domain) return xml class Credential_CIFS(Credential): SERVICE_TYPE = 'cifs' DEFAULT_PORT = 445 @staticmethod def CreateFromXML(xml): credential = Credential_CIFS() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) return credential @staticmethod def Create(): credential = Credential_CIFS() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.domain = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'domain', self.domain) return xml class Credential_AS400(Credential): SERVICE_TYPE = 'as400' DEFAULT_PORT = 449 @staticmethod def CreateFromXML(xml): credential = Credential_AS400() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) return credential @staticmethod def Create(): credential = Credential_AS400() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.domain = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'domain', self.domain) return xml class Credential_Notes(Credential): SERVICE_TYPE = 'notes' DEFAULT_PORT = 1352 @staticmethod def CreateFromXML(xml): credential = Credential_Notes() credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_Notes() credential.id = -1 return credential def __init__(self): self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'password', self.password) return xml class Credential_SNMP(Credential): SERVICE_TYPE = 'snmp' DEFAULT_PORT = 161 @staticmethod def CreateFromXML(xml): credential = Credential_SNMP() credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_SNMP() credential.id = -1 return credential def __init__(self): self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'password', self.password) return xml class Credential_CVS(Credential): SERVICE_TYPE = 'cvs' DEFAULT_PORT = 2401 @staticmethod def CreateFromXML(xml): credential = Credential_CVS() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_CVS() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) return xml class Credential_POP(Credential): SERVICE_TYPE = 'pop' DEFAULT_PORT = 110 @staticmethod def CreateFromXML(xml): credential = Credential_POP() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_POP() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) return xml class Credential_Sybase(Credential): SERVICE_TYPE = 'sybase' DEFAULT_PORT = 5000 @staticmethod def CreateFromXML(xml): credential = Credential_Sybase() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_Sybase() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.domain = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'domain', self.domain) _create_field_and_append(xml, 'database', self.database) return xml class Credential_DB2(Credential): SERVICE_TYPE = 'db2' DEFAULT_PORT = 50000 @staticmethod def CreateFromXML(xml): credential = Credential_DB2() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_DB2() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'database', self.database) return xml class Credential_Telnet(Credential): SERVICE_TYPE = 'telnet' DEFAULT_PORT = 23 @staticmethod def CreateFromXML(xml): credential = Credential_Telnet() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) return credential @staticmethod def Create(): credential = Credential_Telnet() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) return xml class Credential_Oracle(Credential): SERVICE_TYPE = 'oracle' DEFAULT_PORT = 1521 @staticmethod def CreateFromXML(xml): credential = Credential_Oracle() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_Oracle() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'database', self.database) return xml class Credential_MySQL(Credential): SERVICE_TYPE = 'mysql' DEFAULT_PORT = 3306 @staticmethod def CreateFromXML(xml): credential = Credential_MySQL() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_MySQL() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'database', self.database) return xml class Credential_TDS(Credential): SERVICE_TYPE = 'tds' DEFAULT_PORT = 1433 @staticmethod def CreateFromXML(xml): credential = Credential_TDS() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_TDS() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.domain = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'domain', self.domain) _create_field_and_append(xml, 'database', self.database) return xml class Credential_CIFS_Hash(Credential): SERVICE_TYPE = 'cifshash' DEFAULT_PORT = 445 @staticmethod def CreateFromXML(xml): credential = Credential_CIFS_Hash() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.domain = get_content_of(xml, "Field/[@name='domain']", credential.domain) credential.ntlm_hash = get_content_of(xml, "Field/[@name='ntlmhash']", credential.ntlm_hash) return credential @staticmethod def Create(): credential = Credential_CIFS_Hash() credential.id = -1 return credential def __init__(self): self.username = '' self.domain = '' self.ntlm_hash = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'domain', self.domain) _create_field_and_append(xml, 'ntlmhash', self.ntlm_hash) return xml class Credential_PostgreSQL(Credential): SERVICE_TYPE = 'postgresql' DEFAULT_PORT = 5432 @staticmethod def CreateFromXML(xml): credential = Credential_PostgreSQL() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.database = get_content_of(xml, "Field/[@name='database']", credential.database) return credential @staticmethod def Create(): credential = Credential_PostgreSQL() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.database = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'database', self.database) return xml class Credential_SSH(Credential): SERVICE_TYPE = 'ssh' DEFAULT_PORT = 22 @staticmethod def CreateFromXML(xml): credential = Credential_SSH() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.privilege_elevation_username = get_content_of(xml, "Field/[@name='privilegeelevationusername']", credential.privilege_elevation_username) credential.privilege_elevation_password = get_content_of(xml, "Field/[@name='privilegeelevationpassword']", credential.privilege_elevation_password) credential.privilege_elevation_type = get_content_of(xml, "Field/[@name='privilegeelevationtype']", credential.privilege_elevation_type) return credential @staticmethod def Create(): credential = Credential_SSH() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.privilege_elevation_username = '' self.privilege_elevation_password = '' self.privilege_elevation_type = PrivilegeElevationType.NONE def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'privilegeelevationusername', self.privilege_elevation_username) _create_field_and_append(xml, 'privilegeelevationpassword', self.privilege_elevation_password) _create_field_and_append(xml, 'privilegeelevationtype', self.privilege_elevation_type) return xml class Credential_SNMPV3(Credential): SERVICE_TYPE = 'snmpv3' DEFAULT_PORT = 161 @staticmethod def CreateFromXML(xml): credential = Credential_SNMPV3() credential.username = get_content_of(xml, "Field/[@name='username']", credential.username) credential.password = get_content_of(xml, "Field/[@name='password']", credential.password) credential.snmpv3_authentication_type = get_content_of(xml, "Field/[@name='snmpv3authtype']", credential.snmpv3_authentication_type) credential.snmpv3_private_type = get_content_of(xml, "Field/[@name='snmpv3privtype']", credential.snmpv3_private_type) credential.snmpv3_private_password = get_content_of(xml, "Field/[@name='snmpv3privpassword']", credential.snmpv3_private_password) return credential @staticmethod def Create(): credential = Credential_SNMPV3() credential.id = -1 return credential def __init__(self): self.username = '' self.password = '' self.snmpv3_authentication_type = '' self.snmpv3_private_type = '' self.snmpv3_private_password = '' def AsXML(self): xml = create_element('Account', {'type': 'nexpose'}) _create_field_and_append(xml, 'username', self.username) _create_field_and_append(xml, 'password', self.password) _create_field_and_append(xml, 'snmpv3authtype', self.snmpv3_authentication_type) _create_field_and_append(xml, 'snmpv3privtype', self.snmpv3_private_type) _create_field_and_append(xml, 'snmpv3privpassword', self.snmpv3_private_password) return xml class PrivilegeElevationType(object): NONE = 'NONE' # none SUDO = 'SUDO' # sudo SUDOSU = 'SUDOSU' # sudo+su SU = 'SU' # su PBRUN = 'PBRUN' # pbrun

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baa0b562badb47a9267fcf0948924ea313f21534

161

py

Python

baseline/mrqa_allennlp/__init__.py

mrqa/shared-task-2019

b86bbcc63352786f0ca246b76191f062dce4b52b

[ "MIT" ]

274

2019-04-29T08:41:23.000Z

2022-03-09T17:21:11.000Z

baseline/mrqa_allennlp/__init__.py

mrqa/shared-task-2019

b86bbcc63352786f0ca246b76191f062dce4b52b

[ "MIT" ]

29

2019-04-30T07:04:36.000Z

2022-01-12T09:14:29.000Z

baseline/mrqa_allennlp/__init__.py

mrqa/shared-task-2019

b86bbcc63352786f0ca246b76191f062dce4b52b

[ "MIT" ]

33

2019-04-29T08:55:13.000Z

2021-11-10T18:23:13.000Z

from mrqa_allennlp.mrqa_predictor import * from mrqa_allennlp.BERT_QA import * from mrqa_allennlp.mrqa_iterator import * from mrqa_allennlp.mrqa_reader import *

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baaa85fdb0b019af7305642e97da1b983b1975c0

244

py

Python

src/swimport/pools/__init__.py

talos-gis/swimport

e8f0fcf02b0c9751b199f750f1f8bc57c8ff54b3

[ "MIT" ]

1

2019-03-07T20:43:42.000Z

src/swimport/pools/__init__.py

talos-gis/swimport

e8f0fcf02b0c9751b199f750f1f8bc57c8ff54b3

[ "MIT" ]

null

src/swimport/pools/__init__.py

talos-gis/swimport

e8f0fcf02b0c9751b199f750f1f8bc57c8ff54b3

[ "MIT" ]

null

import swimport.pools.types import swimport.pools.derived_types import swimport.pools.complex_types from swimport.pools.pools import pools, Pool, syspools del types, derived_types, complex_types pools.auto_build_doc = True pools.rebuild_doc()

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bac68eaaae5890f9f641646339ede3741accba28

5,347

py

Python

tests/encoding/test_encode_single.py

vaporyco/eth-abi

9e02579d3cfe93ae8dd1247d589e2574f1047bad

[ "MIT" ]

null

tests/encoding/test_encode_single.py

vaporyco/eth-abi

9e02579d3cfe93ae8dd1247d589e2574f1047bad

[ "MIT" ]

null

tests/encoding/test_encode_single.py

vaporyco/eth-abi

9e02579d3cfe93ae8dd1247d589e2574f1047bad

[ "MIT" ]

null

from __future__ import unicode_literals import pytest from eth_abi.abi import encode_single @pytest.mark.parametrize( "_type,value,expected", ( # expanded type ( ('uint', '256', []), 2 ** 256 - 1, b'\xff' * 32, ), # unexpanded type ( 'uint256', 2 ** 256 - 1, b'\xff' * 32, ), # address without 0x prefix ( 'address', 'd3cda913deb6f67967b99d67acdfa1712c293601', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xd3\xcd\xa9\x13\xde\xb6\xf6yg\xb9\x9dg\xac\xdf\xa1q,)6\x01', ), # address 0x prefixed ( 'address', '0xd3cda913deb6f67967b99d67acdfa1712c293601', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xd3\xcd\xa9\x13\xde\xb6\xf6yg\xb9\x9dg\xac\xdf\xa1q,)6\x01', ), # unsigned integer ( 'uint256', 12345, b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0009', ), # signed integer positive ( 'int256', 12345, b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0009', ), # signed integer negative ( 'int256', -12345, b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xcf\xc7', ), # signed integer negative ( 'int8', -1, b'\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff\xff', ), # boolean true ( 'bool', True, b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01', ), # boolean false ( 'bool', False, b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ) ) def test_encode_single_fixed_length(_type, value, expected): actual = encode_single(_type, value) assert actual == expected @pytest.mark.parametrize( "_type,value,expected", ( # string ( 'string', '', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'string', b'', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'string', 'a', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01a\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'string', b'a', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01a\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), # bytes ( 'bytes', '', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'bytes', b'', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'bytes', 'a', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01a\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ( 'bytes', b'a', b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x01a\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00', ), ), ) def test_encode_single_dynamic_length(_type, value, expected): actual = encode_single(_type, value) assert actual == expected

42.102362

272

0.570787

899

5,347

3.369299

0.081201

1.249917

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2.357214

0.865302

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5,347

126

273

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false

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null

1

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1

0

1

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1

null

1

0

14

0348a389be9156b0a11e75ce58246f4a9cc23f9f

1,800

py

Python

randevu/migrations/0001_initial.py

eneskums/ogrenciBilgiSistemi

fca4eefff079fff3808010fa95713fe0c0bc4b8f

[ "MIT" ]

null

randevu/migrations/0001_initial.py

eneskums/ogrenciBilgiSistemi

fca4eefff079fff3808010fa95713fe0c0bc4b8f

[ "MIT" ]

null

randevu/migrations/0001_initial.py

eneskums/ogrenciBilgiSistemi

fca4eefff079fff3808010fa95713fe0c0bc4b8f

[ "MIT" ]

null

# Generated by Django 2.2.12 on 2020-05-10 11:35 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='randevuMezun', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('randevuBaslik', models.CharField(max_length=100, verbose_name='Randevu Sebebi')), ('randevuIcerik', models.TextField(verbose_name='Randevu İçeriği')), ('randevuTarihi', models.DateField()), ('randevuTalepTarihi', models.DateTimeField(auto_now_add=True, verbose_name='Randevunun Oluşturulma Tarihi')), ('randevuSender', models.CharField(max_length=250)), ('mail', models.EmailField(max_length=254)), ('ogretimGorevlisi', models.CharField(max_length=100)), ], ), migrations.CreateModel( name='randevuOgrenci', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('randevuBaslik', models.CharField(max_length=100, verbose_name='Randevu Sebebi')), ('randevuIcerik', models.TextField(verbose_name='Randevu İçeriği')), ('randevuTarihi', models.DateField()), ('randevuTalepTarihi', models.DateTimeField(auto_now_add=True, verbose_name='Randevunun Oluşturulma Tarihi')), ('randevuSender', models.CharField(max_length=250)), ('mail', models.EmailField(max_length=254)), ('ogretimGorevlisi', models.CharField(max_length=100)), ], ), ]

43.902439

126

0.606111

168

1,800

6.363095

0.375

0.08232

0.101029

0.134705

0.802619

0

0.03012

0.262222

1,800

40

127

45

0.773343

0.025556

0

0.727273

1

0

0.188356

0

1

0

false

0

0.030303

0

0.151515

0

null

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1

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null

0

8