xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

416d556c37282091270ab442f9cc0c1e665b8116

2,548

py

Python

jacdac/proto_test/constants.py

microsoft/jacdac-python

712ad5559e29065f5eccb5dbfe029c039132df5a

[ "MIT" ]

1

2022-02-15T21:30:36.000Z

jacdac/proto_test/constants.py

microsoft/jacdac-python

712ad5559e29065f5eccb5dbfe029c039132df5a

[ "MIT" ]

null

jacdac/proto_test/constants.py

microsoft/jacdac-python

712ad5559e29065f5eccb5dbfe029c039132df5a

[ "MIT" ]

1

2022-02-08T19:32:45.000Z

# Autogenerated constants for Protocol Test service from jacdac.constants import * JD_SERVICE_CLASS_PROTO_TEST = const(0x16c7466a) JD_PROTO_TEST_REG_RW_BOOL = const(0x81) JD_PROTO_TEST_REG_RO_BOOL = const(0x181) JD_PROTO_TEST_REG_RW_U32 = const(0x82) JD_PROTO_TEST_REG_RO_U32 = const(0x182) JD_PROTO_TEST_REG_RW_I32 = const(0x83) JD_PROTO_TEST_REG_RO_I32 = const(0x183) JD_PROTO_TEST_REG_RW_STRING = const(0x84) JD_PROTO_TEST_REG_RO_STRING = const(0x184) JD_PROTO_TEST_REG_RW_BYTES = const(0x85) JD_PROTO_TEST_REG_RO_BYTES = const(0x185) JD_PROTO_TEST_REG_RW_I8_U8_U16_I32 = const(0x86) JD_PROTO_TEST_REG_RO_I8_U8_U16_I32 = const(0x186) JD_PROTO_TEST_REG_RW_U8_STRING = const(0x87) JD_PROTO_TEST_REG_RO_U8_STRING = const(0x187) JD_PROTO_TEST_EV_E_BOOL = const(0x81) JD_PROTO_TEST_EV_E_U32 = const(0x82) JD_PROTO_TEST_EV_E_I32 = const(0x83) JD_PROTO_TEST_EV_E_STRING = const(0x84) JD_PROTO_TEST_EV_E_BYTES = const(0x85) JD_PROTO_TEST_EV_E_I8_U8_U16_I32 = const(0x86) JD_PROTO_TEST_EV_E_U8_STRING = const(0x87) JD_PROTO_TEST_CMD_C_BOOL = const(0x81) JD_PROTO_TEST_CMD_C_U32 = const(0x82) JD_PROTO_TEST_CMD_C_I32 = const(0x83) JD_PROTO_TEST_CMD_C_STRING = const(0x84) JD_PROTO_TEST_CMD_C_BYTES = const(0x85) JD_PROTO_TEST_CMD_C_I8_U8_U16_I32 = const(0x86) JD_PROTO_TEST_CMD_C_U8_STRING = const(0x87) JD_PROTO_TEST_CMD_C_REPORT_PIPE = const(0x90) JD_PROTO_TEST_PACK_FORMATS = { JD_PROTO_TEST_REG_RW_BOOL: "u8", JD_PROTO_TEST_REG_RO_BOOL: "u8", JD_PROTO_TEST_REG_RW_U32: "u32", JD_PROTO_TEST_REG_RO_U32: "u32", JD_PROTO_TEST_REG_RW_I32: "i32", JD_PROTO_TEST_REG_RO_I32: "i32", JD_PROTO_TEST_REG_RW_STRING: "s", JD_PROTO_TEST_REG_RO_STRING: "s", JD_PROTO_TEST_REG_RW_BYTES: "b", JD_PROTO_TEST_REG_RO_BYTES: "b", JD_PROTO_TEST_REG_RW_I8_U8_U16_I32: "i8 u8 u16 i32", JD_PROTO_TEST_REG_RO_I8_U8_U16_I32: "i8 u8 u16 i32", JD_PROTO_TEST_REG_RW_U8_STRING: "u8 s", JD_PROTO_TEST_REG_RO_U8_STRING: "u8 s", JD_PROTO_TEST_EV_E_BOOL: "u8", JD_PROTO_TEST_EV_E_U32: "u32", JD_PROTO_TEST_EV_E_I32: "i32", JD_PROTO_TEST_EV_E_STRING: "s", JD_PROTO_TEST_EV_E_BYTES: "b", JD_PROTO_TEST_EV_E_I8_U8_U16_I32: "i8 u8 u16 i32", JD_PROTO_TEST_EV_E_U8_STRING: "u8 s", JD_PROTO_TEST_CMD_C_BOOL: "u8", JD_PROTO_TEST_CMD_C_U32: "u32", JD_PROTO_TEST_CMD_C_I32: "i32", JD_PROTO_TEST_CMD_C_STRING: "s", JD_PROTO_TEST_CMD_C_BYTES: "b", JD_PROTO_TEST_CMD_C_I8_U8_U16_I32: "i8 u8 u16 i32", JD_PROTO_TEST_CMD_C_U8_STRING: "u8 s", JD_PROTO_TEST_CMD_C_REPORT_PIPE: "b[12]" }

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56

0.800628

508

2,548

3.362205

0.100394

0.316159

0.379977

0.229508

0.879391

0.869438

0.342506

0.259368

0.076112

0

0.106081

0.115777

2,548

63

57

40.444444

0.65202

0.019231

0

1

0

0.045254

0

0.053264

0

1

0

false

0

0.016129

0

0.016129

0

null

1

0

1

0

null

0

6

418ec026fe4b1b292324600d0e892521d935a4fa

23

py

Python

vibora/request/__init__.py

brettcannon/vibora

1933b631d4df62e7d748016f7463ab746d4695cc

[ "MIT" ]

2,177

2015-01-02T09:56:51.000Z

2022-03-27T01:48:37.000Z

vibora/request/__init__.py

brettcannon/vibora

1933b631d4df62e7d748016f7463ab746d4695cc

[ "MIT" ]

93

2019-12-07T01:43:50.000Z

2021-08-01T13:30:44.000Z

vibora/request/__init__.py

brettcannon/vibora

1933b631d4df62e7d748016f7463ab746d4695cc

[ "MIT" ]

516

2015-01-02T18:48:29.000Z

2022-01-26T07:12:35.000Z

from .request import *

11.5

22

0.73913

3

23

5.666667

1

0

0.173913

23

1

23

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

41a18b602a2fe9bf9b451e29bc6d852c9ab66ec9

50

py

Python

models/__init__.py

mengjian0502/TorchInference_SRAM

fcc465c73b79f2ab670b6af03aa53f9bb47c64ca

[ "MIT" ]

1

2022-02-28T03:51:11.000Z

models/__init__.py

mengjian0502/TorchInference_SRAM

fcc465c73b79f2ab670b6af03aa53f9bb47c64ca

[ "MIT" ]

null

models/__init__.py

mengjian0502/TorchInference_SRAM

fcc465c73b79f2ab670b6af03aa53f9bb47c64ca

[ "MIT" ]

null

from .cnn import CNN from .sram_cnn import SRAMCNN

25

29

0.82

9

50

4.444444

0.555556

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0.14

50

2

29

25

0.930233

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true

0

1

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1

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1

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null

1

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1

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null

0

1

0

1

0

1

0

6

ec015e1be422fd69e31a08ddca494d7b1c7c7423

42,893

py

Python

qpid_tests/broker_0_10/msg_groups.py

martpat/qpid-python

900baa9bfab0f9b348c517fe1dac3cc6e8f26b29

[ "Apache-2.0" ]

17

2016-09-04T03:34:10.000Z

2021-11-09T22:29:30.000Z

qpid_tests/broker_0_10/msg_groups.py

martpat/qpid-python

900baa9bfab0f9b348c517fe1dac3cc6e8f26b29

[ "Apache-2.0" ]

1

2016-07-11T09:32:41.000Z

qpid_tests/broker_0_10/msg_groups.py

martpat/qpid-python

900baa9bfab0f9b348c517fe1dac3cc6e8f26b29

[ "Apache-2.0" ]

19

2016-07-11T09:23:50.000Z

2021-11-09T22:29:20.000Z

# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you 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 qpid.messaging import * from qpid.tests.messaging import Base import qmf.console from time import sleep # # Tests the Broker's support for message groups # class MultiConsumerMsgGroupTests(Base): """ Tests for the behavior of multi-consumer message groups. These tests allow a messages from the same group be consumed by multiple different clients as long as each message is processed "in sequence". See QPID-3346 for details. """ def setup_connection(self): return Connection.establish(self.broker, **self.connection_options()) def setup_session(self): return self.conn.session() def test_simple(self): """ Verify simple acquire/accept actions on a set of grouped messages shared between two receivers. """ ## Create a msg group queue snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","A","A","B","B","B","C","C","C"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) ## Queue = a-0, a-1, a-2, b-3, b-4, b-5, c-6, c-7, c-8... ## Owners= ---, ---, ---, ---, ---, ---, ---, ---, ---, # create consumers on separate sessions: C1,C2 s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 should acquire A-0, then C2 should acquire B-3 m1 = c1.fetch(0); assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 m2 = c2.fetch(0); assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 3 # C1 Acknowledge A-0 c1.session.acknowledge(m1); # C2 should next acquire A-1 m3 = c2.fetch(0); assert m3.properties['THE-GROUP'] == 'A' assert m3.content['index'] == 1 # C1 should next acquire C-6, since groups A&B are held by c2 m4 = c1.fetch(0); assert m4.properties['THE-GROUP'] == 'C' assert m4.content['index'] == 6 ## Queue = XXX, a-1, a-2, b-3, b-4, b-5, c-6, c-7, c-8... ## Owners= ---, ^C2, +C2, ^C2, +C2, +C2, ^C1, +C1, +C1, # C2 Acknowledge B-3, freeing up the rest of B group c2.session.acknowledge(m2); ## Queue = XXX, a-1, a-2, XXX, b-4, b-5, c-6, c-7, c-8... ## Owners= ---, ^C2, +C2, ---, ---, ---, ^C1, +C1, +C1, # C1 should now acquire B-4, since it is next "free" m5 = c1.fetch(0); assert m5.properties['THE-GROUP'] == 'B' assert m5.content['index'] == 4 ## Queue = XXX, a-1, a-2, XXX, b-4, b-5, c-6, c-7, c-8... ## Owners= ---, ^C2, +C2, ---, ^C1, +C1, ^C1, +C1, +C1, # C1 acknowledges C-6, freeing the C group c1.session.acknowledge(m4) ## Queue = XXX, a-1, a-2, XXX, b-4, b-5, XXX, c-7, c-8... ## Owners= ---, ^C2, +C2, ---, ^C1, +C1, ---, ---, --- # C2 should next fetch A-2, followed by C-7 m7 = c2.fetch(0); assert m7.properties['THE-GROUP'] == 'A' assert m7.content['index'] == 2 m8 = c2.fetch(0); assert m8.properties['THE-GROUP'] == 'C' assert m8.content['index'] == 7 ## Queue = XXX, a-1, a-2, XXX, b-4, b-5, XXX, c-7, c-8... ## Owners= ---, ^C2, ^C2, ---, ^C1, +C1, ---, ^C2, +C2 # have C2 ack all fetched messages, freeing C-8 c2.session.acknowledge() ## Queue = XXX, XXX, XXX, XXX, b-4, b-5, XXX, XXX, c-8... ## Owners= ---, ---, ---, ---, ^C1, +C1, ---, ---, --- # the next fetch of C2 would get C-8, since B-5 is "owned" m9 = c2.fetch(0); assert m9.properties['THE-GROUP'] == 'C' assert m9.content['index'] == 8 ## Queue = XXX, XXX, XXX, XXX, b-4, b-5, XXX, XXX, c-8... ## Owners= ---, ---, ---, ---, ^C1, +C1, ---, ---, ^C2 # C1 acks B-4, freeing B-5 for consumption c1.session.acknowledge(m5) ## Queue = XXX, XXX, XXX, XXX, XXX, b-5, XXX, XXX, c-8... ## Owners= ---, ---, ---, ---, ---, ^C2, ---, ---, ^C2 # the next fetch of C2 would get B-5 m10 = c2.fetch(0); assert m10.properties['THE-GROUP'] == 'B' assert m10.content['index'] == 5 # there should be no more left for C1: try: mx = c1.fetch(0) assert False # should never get here except Empty: pass c1.session.acknowledge() c2.session.acknowledge() c1.close() c2.close() snd.close() def test_simple_browse(self): """ Test the behavior of a browsing subscription on a message grouping queue. """ ## Create a msg group queue snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) ## Queue = A-0, B-1, A-2, b-3, C-4 ## Owners= ---, ---, ---, ---, --- # create consumer and browser s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() b1 = s2.receiver("msg-group-q; {mode: browse}", options={"capacity":0}) m2 = b1.fetch(0); assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 0 # C1 should acquire A-0 m1 = c1.fetch(0); assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 ## Queue = A-0, B-1, A-2, b-3, C-4 ## Owners= ^C1, ---, +C1, ---, --- m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 1 # verify that the browser may see A-2, even though its group is owned # by C1 m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 2 m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 3 # verify the consumer can own groups currently seen by the browser m3 = c1.fetch(0); assert m3.properties['THE-GROUP'] == 'B' assert m3.content['index'] == 1 m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'C' assert m2.content['index'] == 4 def test_release(self): """ Verify releasing a message can free its assocated group """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","A","B","B"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 2 # C1 release m1, and the first group s1.acknowledge(m1, Disposition(RELEASED, set_redelivered=True)) # C2 should be able to get group 'A', msg 'A-0' now m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 0 def test_reject(self): """ Verify rejecting a message can free its associated group """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","A","B","B"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 2 # C1 rejects m1, and the first group is released s1.acknowledge(m1, Disposition(REJECTED)) # C2 should be able to get group 'A', msg 'A-1' now m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 1 def test_close(self): """ Verify behavior when a consumer that 'owns' a group closes. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","A","B","B"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 will own group A m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # C2 will own group B m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 2 # C1 shuffles off the mortal coil... c1.close(); # but the session (s1) remains active, so "A" remains blocked # from c2, c2 should fetch the next B-3 m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 3 # and there should be no more messages available for C2 try: m2 = c2.fetch(0) assert False # should never get here except Empty: pass # close session s1, releasing the A group s1.close() m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 0 m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 1 # and there should be no more messages now try: m2 = c2.fetch(0) assert False # should never get here except Empty: pass def test_transaction(self): """ Verify behavior when using transactions. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","A","B","B","A","B"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.conn.session(transactional=True) c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.conn.session(transactional=True) c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 gets group A m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # C2 gets group B m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 2 s1.acknowledge(m1) # A-0 consumed, A group freed s2.acknowledge(m2) # B-2 consumed, B group freed s1.commit() # A-0 consumption done, A group now free s2.rollback() # releases B-2, and group B ## Q: ["A1","B2","B3","A4","B5"] # C2 should be able to get the next A m3 = c2.fetch(0) assert m3.properties['THE-GROUP'] == 'A' assert m3.content['index'] == 1 # C1 should be able to get B-2 m4 = c1.fetch(0) assert m4.properties['THE-GROUP'] == 'B' assert m4.content['index'] == 2 s2.acknowledge(m3) # C2 consumes A-1 s1.acknowledge(m4) # C1 consumes B-2 s1.commit() # C1 consume B-2 occurs, free group B ## Q: [["A1",]"B3","A4","B5"] # A-1 is still considered owned by C2, since the commit has yet to # occur, so the next available to C1 would be B-3 m5 = c1.fetch(0) # B-3 assert m5.properties['THE-GROUP'] == 'B' assert m5.content['index'] == 3 # and C2 should find A-4 available, since it owns the A group m6 = c2.fetch(0) # A-4 assert m6.properties['THE-GROUP'] == 'A' assert m6.content['index'] == 4 s2.acknowledge(m6) # C2 consumes A-4 # uh-oh, A-1 and A-4 released, along with A group s2.rollback() ## Q: ["A1",["B3"],"A4","B5"] m7 = c1.fetch(0) # A-1 is found assert m7.properties['THE-GROUP'] == 'A' assert m7.content['index'] == 1 ## Q: [["A1"],["B3"],"A4","B5"] # since C1 "owns" both A and B group, C2 should find nothing available try: m8 = c2.fetch(0) assert False # should not get here except Empty: pass # C1 next gets A4 m9 = c1.fetch(0) assert m9.properties['THE-GROUP'] == 'A' assert m9.content['index'] == 4 s1.acknowledge() ## Q: [["A1"],["B3"],["A4"],"B5"] # even though C1 acknowledges A1,B3, and A4, B5 is still considered # owned as the commit has yet to take place try: m10 = c2.fetch(0) assert False # should not get here except Empty: pass # now A1,B3,A4 dequeued, B5 should be free s1.commit() ## Q: ["B5"] m11 = c2.fetch(0) assert m11.properties['THE-GROUP'] == 'B' assert m11.content['index'] == 5 s2.acknowledge() s2.commit() def test_send_transaction(self): """ Verify behavior when sender is using transactions. """ ssn = self.conn.session(transactional=True) snd = ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") msg = Message(content={'index':0}, properties={"THE-GROUP": "A"}) snd.send(msg) msg = Message(content={'index':1}, properties={"THE-GROUP": "B"}) snd.send(msg) snd.session.commit() msg = Message(content={'index':2}, properties={"THE-GROUP": "A"}) snd.send(msg) # Queue: [A0,B1, (uncommitted: A2) ] s1 = self.conn.session(transactional=True) c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.conn.session(transactional=True) c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 gets A0, group A m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # C2 gets B2, group B m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 1 # Since A2 uncommitted, there should be nothing left to fetch try: mX = c1.fetch(0) assert False # should not get here except Empty: pass try: mX = c2.fetch(0) assert False # should not get here except Empty: pass snd.session.commit() msg = Message(content={'index':3}, properties={"THE-GROUP": "B"}) snd.send(msg) # Queue: [A2, (uncommitted: B3) ] # B3 has yet to be committed, so C2 should see nothing available: try: mX = c2.fetch(0) assert False # should not get here except Empty: pass # but A2 should be available to C1 m3 = c1.fetch(0) assert m3.properties['THE-GROUP'] == 'A' assert m3.content['index'] == 2 # now make B3 available snd.session.commit() # C1 should still be done: try: mX = c1.fetch(0) assert False # should not get here except Empty: pass # but C2 should find the new B m4 = c2.fetch(0) assert m4.properties['THE-GROUP'] == 'B' assert m4.content['index'] == 3 # extra: have C1 rollback, verify C2 finds the released 'A' messages c1.session.rollback() ## Q: ["A0","A2"] # C2 should be able to get the next A m5 = c2.fetch(0) assert m5.properties['THE-GROUP'] == 'A' assert m5.content['index'] == 0 m6 = c2.fetch(0) assert m6.properties['THE-GROUP'] == 'A' assert m6.content['index'] == 2 c2.session.acknowledge() c2.session.commit() def test_query(self): """ Verify the queue query method against message groups """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","C","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) m2 = c2.fetch(0) # at this point, group A should be owned by C1, group B by C2, and # group C should be available # now setup a QMF session, so we can call methods self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) brokers = self.qmf_session.getObjects(_class="broker") assert len(brokers) == 1 broker = brokers[0] # verify the query method call's group information rc = broker.query("queue", "msg-group-q") assert rc.status == 0 assert rc.text == "OK" results = rc.outArgs['results'] assert 'qpid.message_group_queue' in results q_info = results['qpid.message_group_queue'] assert 'group_header_key' in q_info and q_info['group_header_key'] == "THE-GROUP" assert 'group_state' in q_info and len(q_info['group_state']) == 3 for g_info in q_info['group_state']: assert 'group_id' in g_info if g_info['group_id'] == "A": assert g_info['msg_count'] == 3 assert g_info['consumer'] != "" elif g_info['group_id'] == "B": assert g_info['msg_count'] == 2 assert g_info['consumer'] != "" elif g_info['group_id'] == "C": assert g_info['msg_count'] == 2 assert g_info['consumer'] == "" else: assert(False) # should never get here self.qmf_session.delBroker(self.qmf_broker) def test_purge_free(self): """ Verify we can purge a queue of all messages of a given "unowned" group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # now setup a QMF session, so we can call methods self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) queue = self.qmf_session.getObjects(_class="queue", name="msg-group-q")[0] assert queue msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "B" }} assert queue.msgDepth == 6 rc = queue.purge(0, msg_filter) assert rc.status == 0 queue.update() assert queue.msgDepth == 4 # verify all B's removed.... s2 = self.setup_session() b1 = s2.receiver("msg-group-q; {mode: browse}", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] != 'B' count += 1 except Empty: pass assert count == 4 self.qmf_session.delBroker(self.qmf_broker) def test_purge_acquired(self): """ Verify we can purge messages from an acquired group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # acquire group "A" s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # now setup a QMF session, so we can purge group A self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) queue = self.qmf_session.getObjects(_class="queue", name="msg-group-q")[0] assert queue msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "A" }} assert queue.msgDepth == 6 rc = queue.purge(0, msg_filter) assert rc.status == 0 queue.update() queue.msgDepth == 4 # the pending acquired A still counts! s1.acknowledge() # verify all other A's removed.... s2 = self.setup_session() b1 = s2.receiver("msg-group-q; {mode: browse}", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] != 'A' count += 1 except Empty: pass assert count == 3 # only 3 really available s1.acknowledge() # ack the consumed A-0 self.qmf_session.delBroker(self.qmf_broker) def test_purge_count(self): """ Verify we can purge a fixed number of messages from an acquired group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # acquire group "A" s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # now setup a QMF session, so we can purge group A self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) queue = self.qmf_session.getObjects(_class="queue", name="msg-group-q")[0] assert queue msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "A" }} assert queue.msgDepth == 6 rc = queue.purge(1, msg_filter) assert rc.status == 0 queue.update() queue.msgDepth == 5 # the pending acquired A still counts! # verify all other A's removed.... s2 = self.setup_session() b1 = s2.receiver("msg-group-q; {mode: browse}", options={"capacity":0}) count = 0 a_count = 0 try: while True: m2 = b1.fetch(0) if m2.properties['THE-GROUP'] != 'A': count += 1 else: a_count += 1 except Empty: pass assert count == 3 # non-A's assert a_count == 1 # assumes the acquired message was not the one purged and regular browsers don't get acquired messages s1.acknowledge() # ack the consumed A-0 self.qmf_session.delBroker(self.qmf_broker) def test_move_all(self): """ Verify we can move messages from an acquired group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # set up destination queue rcvr = self.ssn.receiver("dest-q; {create:always, delete:receiver," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") # acquire group "A" s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # now setup a QMF session, so we can move what's left of group A self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) brokers = self.qmf_session.getObjects(_class="broker") assert len(brokers) == 1 broker = brokers[0] msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "A" }} rc = broker.queueMoveMessages("msg-group-q", "dest-q", 0, msg_filter) assert rc.status == 0 # verify all other A's removed from msg-group-q s2 = self.setup_session() b1 = s2.receiver("msg-group-q", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] != 'A' count += 1 except Empty: pass assert count == 3 # only 3 really available # verify the moved A's are at the dest-q s2 = self.setup_session() b1 = s2.receiver("dest-q; {mode: browse}", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 2 or m2.content['index'] == 5 count += 1 except Empty: pass assert count == 2 # two A's moved s1.acknowledge() # ack the consumed A-0 self.qmf_session.delBroker(self.qmf_broker) def test_move_count(self): """ Verify we can move a fixed number of messages from an acquired group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # set up destination queue rcvr = self.ssn.receiver("dest-q; {create:always, delete:receiver," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") # now setup a QMF session, so we can move group B self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) brokers = self.qmf_session.getObjects(_class="broker") assert len(brokers) == 1 broker = brokers[0] msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "B" }} rc = broker.queueMoveMessages("msg-group-q", "dest-q", 3, msg_filter) assert rc.status == 0 # verify all B's removed from msg-group-q s2 = self.setup_session() b1 = s2.receiver("msg-group-q; {mode: browse}", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] != 'B' count += 1 except Empty: pass assert count == 4 # verify the moved B's are at the dest-q s2 = self.setup_session() b1 = s2.receiver("dest-q; {mode: browse}", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 1 or m2.content['index'] == 3 count += 1 except Empty: pass assert count == 2 self.qmf_session.delBroker(self.qmf_broker) def test_reroute(self): """ Verify we can reroute messages from an acquired group. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) # create a topic exchange for the reroute rcvr = self.ssn.receiver("reroute-q; {create: always, delete:receiver," + " node: {type: topic}}") # acquire group "A" s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # now setup a QMF session, so we can reroute group A self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) queue = self.qmf_session.getObjects(_class="queue", name="msg-group-q")[0] assert queue msg_filter = { 'filter_type' : 'header_match_str', 'filter_params' : { 'header_key' : "THE-GROUP", 'header_value' : "A" }} assert queue.msgDepth == 6 rc = queue.reroute(0, False, "reroute-q", msg_filter) assert rc.status == 0 queue.update() queue.msgDepth == 4 # the pending acquired A still counts! # verify all other A's removed.... s2 = self.setup_session() b1 = s2.receiver("msg-group-q", options={"capacity":0}) count = 0 try: while True: m2 = b1.fetch(0) assert m2.properties['THE-GROUP'] != 'A' count += 1 except Empty: pass assert count == 3 # only 3 really available # and what of reroute-q? count = 0 try: while True: m2 = rcvr.fetch(0) assert m2.properties['THE-GROUP'] == 'A' assert m2.content['index'] == 2 or m2.content['index'] == 5 count += 1 except Empty: pass assert count == 2 s1.acknowledge() # ack the consumed A-0 self.qmf_session.delBroker(self.qmf_broker) def test_queue_delete(self): """ Test deleting a queue while consumers are active. """ ## Create a msg group queue snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A","B","C"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) ## Queue = A-0, B-1, A-2, b-3, C-4 ## Owners= ---, ---, ---, ---, --- # create consumers s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 should acquire A-0 m1 = c1.fetch(0); assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 # c2 acquires B-1 m2 = c2.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 1 # with group A and B owned, and C free, delete the # queue snd.close() self.ssn.close() def test_default_group_id(self): """ Verify the queue assigns the default group id should a message arrive without a group identifier. """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") m = Message(content={}, properties={"NO-GROUP-HEADER":"HA-HA"}) snd.send(m) # now setup a QMF session, so we can call methods self.qmf_session = qmf.console.Session() self.qmf_broker = self.qmf_session.addBroker(str(self.broker)) brokers = self.qmf_session.getObjects(_class="broker") assert len(brokers) == 1 broker = brokers[0] # grab the group state off the queue, and verify the default group is # present ("qpid.no-group" is the broker default) rc = broker.query("queue", "msg-group-q") assert rc.status == 0 assert rc.text == "OK" results = rc.outArgs['results'] assert 'qpid.message_group_queue' in results q_info = results['qpid.message_group_queue'] assert 'group_header_key' in q_info and q_info['group_header_key'] == "THE-GROUP" assert 'group_state' in q_info and len(q_info['group_state']) == 1 g_info = q_info['group_state'][0] assert 'group_id' in g_info assert g_info['group_id'] == 'qpid.no-group' self.qmf_session.delBroker(self.qmf_broker) def test_transaction_order(self): """ Verify that rollback does not reorder the messages with respect to the consumer (QPID-3804) """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","A"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 snd.send(m) s1 = self.conn.session(transactional=True) c1 = s1.receiver("msg-group-q", options={"capacity":0}) # C1 gets group A m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 s1.acknowledge(m1) s1.rollback() # release A back to the queue # the order should be preserved as follows: m1 = c1.fetch(0) assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 m2 = c1.fetch(0) assert m2.properties['THE-GROUP'] == 'B' assert m2.content['index'] == 1 m3 = c1.fetch(0) assert m3.properties['THE-GROUP'] == 'A' assert m3.content['index'] == 2 s1.commit() c1.close() s1.close() snd.close() def test_ttl_expire(self): """ Verify that expired (TTL) group messages are skipped correctly """ snd = self.ssn.sender("msg-group-q; {create:always, delete:sender," + " node: {x-declare: {arguments:" + " {'qpid.group_header_key':'THE-GROUP'," + "'qpid.shared_msg_group':1}}}}") groups = ["A","B","C","A","B","C"] messages = [Message(content={}, properties={"THE-GROUP": g}) for g in groups] index = 0 for m in messages: m.content['index'] = index index += 1 if m.properties['THE-GROUP'] == 'B': m.ttl = 1; snd.send(m) sleep(2) # let all B's expire # create consumers on separate sessions: C1,C2 s1 = self.setup_session() c1 = s1.receiver("msg-group-q", options={"capacity":0}) s2 = self.setup_session() c2 = s2.receiver("msg-group-q", options={"capacity":0}) # C1 should acquire A-0, then C2 should acquire C-2, Group B should # expire and never be fetched m1 = c1.fetch(0); assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 0 m2 = c2.fetch(0); assert m2.properties['THE-GROUP'] == 'C' assert m2.content['index'] == 2 m1 = c1.fetch(0); assert m1.properties['THE-GROUP'] == 'A' assert m1.content['index'] == 3 m2 = c2.fetch(0); assert m2.properties['THE-GROUP'] == 'C' assert m2.content['index'] == 5 # there should be no more left for either consumer try: mx = c1.fetch(0) assert False # should never get here except Empty: pass try: mx = c2.fetch(0) assert False # should never get here except Empty: pass c1.session.acknowledge() c2.session.acknowledge() c1.close() c2.close() snd.close() class StickyConsumerMsgGroupTests(Base): """ Tests for the behavior of sticky-consumer message groups. These tests expect all messages from the same group be consumed by the same clients. See QPID-3347 for details. """ pass # TBD

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null

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6

ec4377316b7217f523059d544799334b134d046d

188

py

Python

construct_hou/utils.py

construct-org/construct_hou

7c323c176ce238681f64cbf61ddd7ed5a9a81100

[ "MIT" ]

null

construct_hou/utils.py

construct-org/construct_hou

7c323c176ce238681f64cbf61ddd7ed5a9a81100

[ "MIT" ]

null

construct_hou/utils.py

construct-org/construct_hou

7c323c176ce238681f64cbf61ddd7ed5a9a81100

[ "MIT" ]

1

2020-02-15T12:16:21.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import def show_file_open_at_startup(): '''Returns True when there will be no autosave dialog at startup.''' return True

20.888889

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6b5a77292915e54ad040e0a094a98c0b61d2dafc

9,412

py

Python

Incident-Response/Tools/cyphon/cyphon/alerts/tests/test_admin.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

1

2021-07-24T17:22:50.000Z

Incident-Response/Tools/cyphon/cyphon/alerts/tests/test_admin.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-28T03:40:31.000Z

2022-02-28T03:40:52.000Z

Incident-Response/Tools/cyphon/cyphon/alerts/tests/test_admin.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-25T08:34:51.000Z

2022-03-16T17:29:44.000Z

# -*- coding: utf-8 -*- # Copyright 2017-2019 ControlScan, Inc. # # This file is part of Cyphon Engine. # # Cyphon Engine is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, version 3 of the License. # # Cyphon Engine is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with Cyphon Engine. If not, see <http://www.gnu.org/licenses/>. """ Tests AlertAdmin methods. """ # standard library try: from unittest.mock import Mock except ImportError: from mock import Mock # third party from django.contrib import admin from django.test import TestCase # local from alerts.admin import AlertAdmin from alerts.models import Alert class AlertAdminTestCase(TestCase): """ Base class for testing the AlertAdmin class. """ def setUp(self): self.modeladmin = AlertAdmin(Alert, admin.site) self.modeladmin.message_user = Mock() self.queryset_single = Mock() self.queryset_single.update = Mock(return_value=1) self.queryset_multi = Mock() self.queryset_multi.update = Mock(return_value=2) self.request = Mock() def test_set_status_to_new_single(self): """ Tests the set_status_to_new method for one updated alert. """ self.modeladmin.set_status_to_new(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(status='NEW') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as New.') def test_set_status_to_new_multi(self): """ Tests the set_status_to_new method for multiple updated alerts. """ self.modeladmin.set_status_to_new(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(status='NEW') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as New.') def test_set_status_to_busy_single(self): """ Tests the set_status_to_busy method for one updated alert. """ self.modeladmin.set_status_to_busy(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(status='BUSY') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as Busy.') def test_set_status_to_busy_multi(self): """ Tests the set_status_to_busy method for multiple updated alerts. """ self.modeladmin.set_status_to_busy(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(status='BUSY') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as Busy.') def test_set_status_to_done_single(self): """ Tests the set_status_to_done method for one updated alert. """ self.modeladmin.set_status_to_done(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(status='DONE') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as Done.') def test_set_status_to_done_multi(self): """ Tests the set_status_to_done method for multiple updated alerts. """ self.modeladmin.set_status_to_done(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(status='DONE') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as Done.') def test_set_level_to_crit_single(self): """ Tests the set_level_to_critical method for one updated alert. """ self.modeladmin.set_level_to_critical(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(level='CRITICAL') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as critical priority.') def test_set_level_to_crit_multi(self): """ Tests the set_level_to_critical method for multiple updated alerts. """ self.modeladmin.set_level_to_critical(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(level='CRITICAL') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as critical priority.') def test_set_level_to_high_single(self): """ Tests the set_level_to_high method for one updated alert. """ self.modeladmin.set_level_to_high(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(level='HIGH') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as high priority.') def test_set_level_to_high_multi(self): """ Tests the set_level_to_high method for multiple updated alerts. """ self.modeladmin.set_level_to_high(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(level='HIGH') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as high priority.') def test_set_level_to_medium_single(self): """ Tests the set_level_to_medium method for one updated alert. """ self.modeladmin.set_level_to_medium(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(level='MEDIUM') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as medium priority.') def test_set_level_to_medium_multi(self): """ Tests the set_level_to_medium method for multiple updated alerts. """ self.modeladmin.set_level_to_medium(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(level='MEDIUM') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as medium priority.') def test_set_level_to_low_single(self): """ Tests the set_level_to_low method for one updated alert. """ self.modeladmin.set_level_to_low(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(level='LOW') self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as low priority.') def test_set_level_to_low_multi(self): """ Tests the set_level_to_low method for multiple updated alerts. """ self.modeladmin.set_level_to_low(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(level='LOW') self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as low priority.') def test_set_outcome_true_single(self): """ Tests the set_outcome_to_true method for one updated alert. """ self.modeladmin.set_outcome_to_true(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(outcome=True) self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as True.') def test_set_outcome_true_multi(self): """ Tests the set_outcome_to_true method for multiple updated alerts. """ self.modeladmin.set_outcome_to_true(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(outcome=True) self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as True.') def test_set_outcome_false_single(self): """ Tests the set_outcome_to_false method for one updated alert. """ self.modeladmin.set_outcome_to_false(self.request, self.queryset_single) self.queryset_single.update.assert_called_once_with(outcome=False) self.modeladmin.message_user.assert_called_once_with( self.request, '1 alert was successfully marked as False.') def test_set_outcome_false_multi(self): """ Tests the set_outcome_to_false method for multiple updated alerts. """ self.modeladmin.set_outcome_to_false(self.request, self.queryset_multi) self.queryset_multi.update.assert_called_once_with(outcome=False) self.modeladmin.message_user.assert_called_once_with( self.request, '2 alerts were successfully marked as False.')

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0.216

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null

0

1

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null

0

6

6b8a040a738b4226027d6ded1815bd58e4403915

1,490

py

Python

PICO-8/games/spin/repack/varint_test.py

VyrCossont/Pinput

53acf9a0eaf1a64ae263826ea36108150ad0bfbe

[ "MIT" ]

9

2021-10-03T06:49:23.000Z

2022-02-17T22:10:21.000Z

PICO-8/games/spin/repack/varint_test.py

VyrCossont/Pinput

53acf9a0eaf1a64ae263826ea36108150ad0bfbe

[ "MIT" ]

null

PICO-8/games/spin/repack/varint_test.py

VyrCossont/Pinput

53acf9a0eaf1a64ae263826ea36108150ad0bfbe

[ "MIT" ]

null

from .varint import BitVector, read_varint, varint_encoded_length, write_varint def test_write_short(): assert write_varint(0) == BitVector(size=4, bits=0b0000) assert write_varint(1) == BitVector(size=4, bits=0b0001) assert write_varint(2) == BitVector(size=4, bits=0b0010) assert write_varint(3) == BitVector(size=4, bits=0b0011) def test_write_short_neg(): assert write_varint(-1) == BitVector(size=4, bits=0b0111) assert write_varint(-2) == BitVector(size=4, bits=0b0110) assert write_varint(-3) == BitVector(size=4, bits=0b0101) def test_write_long(): assert write_varint(0xf) == BitVector(size=8, bits=0b0001_1111) assert write_varint(0xff) == BitVector(size=12, bits=0b0011_1111_1111) def test_write_long_neg(): assert write_varint(-0x8) == BitVector(size=8, bits=0b0111_1000) assert write_varint(-0x80) == BitVector(size=12, bits=0b0110_1000_1000) def test_read_short(): assert read_varint(BitVector(size=4, bits=0b0000)) == (4, 0) assert read_varint(BitVector(size=4, bits=0b0001)) == (4, 1) def test_read_short_neg(): assert read_varint(BitVector(size=4, bits=0b0111)) == (4, -1) def test_read_long(): assert read_varint(BitVector(size=8, bits=0b0001_1111)) == (8, 0xf) assert read_varint(BitVector(size=12, bits=0b0011_1111_1111)) == (12, 0xff) def test_encoded_length(): assert varint_encoded_length(1) == 4 assert varint_encoded_length(15) == 20 assert varint_encoded_length(16) == 24

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null

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null

0

1

0

1

0

6

6bb8dc37d081c71fc937803e18726b12ee02e423

33

py

Python

modules/retrieval/text_classification/libs/models/__init__.py

martinhoang11/vietnamese-ocr-toolbox

524b4908bedceb0c87b2c7cd7b5e3f6e1126ace5

[ "Apache-2.0" ]

14

2021-09-05T10:42:14.000Z

2022-03-10T16:27:26.000Z

modules/retrieval/text_classification/libs/models/__init__.py

martinhoang11/vietnamese-ocr-toolbox

524b4908bedceb0c87b2c7cd7b5e3f6e1126ace5

[ "Apache-2.0" ]

1

2021-06-16T11:35:24.000Z

modules/retrieval/text_classification/libs/models/__init__.py

martinhoang11/vietnamese-ocr-toolbox

524b4908bedceb0c87b2c7cd7b5e3f6e1126ace5

[ "Apache-2.0" ]

5

2021-09-05T13:26:51.000Z

2022-03-09T07:49:45.000Z

from .readability_models import *

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6.75

1

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33

1

33

0.9

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1

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6

6bc433dde74c0c2dea66fecad10e68bbe33f7f41

174

py

Python

src/compas/datastructures/network/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

src/compas/datastructures/network/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

src/compas/datastructures/network/__init__.py

gonzalocasas/compas

2fabc7e5c966a02d823fa453564151e1a1e7e3c6

[ "MIT" ]

null

from .network import * from .facenetwork import * from .operations import * from .network import __all__ as a from .facenetwork import __all__ as b __all__ = a + b

19.333333

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174

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0

false

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0

1

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null

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0

1

0

null

0

1

0

1

0

6

d44bb43710f90ad55d8d6b7a2fb5d4aa58b3da7b

522

py

Python

sqlite/interfaces.py

samsonosiomwan/SQL-model

24935e29182461af787a002c7d3bf15d7e71dc4a

[ "MIT" ]

null

sqlite/interfaces.py

samsonosiomwan/SQL-model

24935e29182461af787a002c7d3bf15d7e71dc4a

[ "MIT" ]

null

sqlite/interfaces.py

samsonosiomwan/SQL-model

24935e29182461af787a002c7d3bf15d7e71dc4a

[ "MIT" ]

null

from abc import ABC, abstractmethod class CrudOperationInterface(ABC): @abstractmethod def read_all(): pass @abstractmethod def create(): pass @abstractmethod def get_passed(): pass @abstractmethod def get_failed(): pass @abstractmethod def get_test1(): pass @abstractmethod def update(): pass @abstractmethod def destroy(): pass class ToSQLInterface(ABC): def convert_to_sql(): pass

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true

0.346154

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0

null

1

0

null

0

1

0

6

d44d2ea773b5f949407a8b5f38985ef467a5aa23

26

py

Python

elliot/recommender/unpersonalized/random_recommender/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

175

2021-03-04T15:46:25.000Z

2022-03-31T05:56:58.000Z

elliot/recommender/unpersonalized/random_recommender/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

15

2021-03-06T17:53:56.000Z

2022-03-24T17:02:07.000Z

elliot/recommender/unpersonalized/random_recommender/__init__.py

gategill/elliot

113763ba6d595976e14ead2e3d460d9705cd882e

[ "Apache-2.0" ]

39

2021-03-04T15:46:26.000Z

2022-03-09T15:37:12.000Z

from .Random import Random

26

0.846154

4

26

5.5

0.75

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26

1

26

0.956522

0

1

0

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0

1

0

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0

null

0

1

0

1

0

1

0

6

2e092d4d4567985ffe882659d69fac72dff03f92

1,759

py

Python

request.py

HellsCrimson/DeepAi-Interface

3c95074eb1d9909eeb55c219e2b6ed26e64b3e09

[ "MIT" ]

null

request.py

HellsCrimson/DeepAi-Interface

3c95074eb1d9909eeb55c219e2b6ed26e64b3e09

[ "MIT" ]

null

request.py

HellsCrimson/DeepAi-Interface

3c95074eb1d9909eeb55c219e2b6ed26e64b3e09

[ "MIT" ]

null

import requests api_key = "YOUR API KEY" def Recognition(path): # not used (return string) if path == None: return r = requests.post( "https://api.deepai.org/api/celebrity-recognition", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def SupRez(path): if path == None: return r = requests.post( "https://api.deepai.org/api/torch-srgan", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def DeepDream(path): if path == None: return r = requests.post( "https://api.deepai.org/api/deepdream", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def NeurTalk(path): # not used (return string) if path == None: return r = requests.post( "https://api.deepai.org/api/neuraltalk", data={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def Toonify(path): if path == None: return r = requests.post( "https://api.deepai.org/api/toonify", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def Color(path): if path == None: return r = requests.post( "https://api.deepai.org/api/colorizer", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json() def Waifu(path): if path == None: return r = requests.post( "https://api.deepai.org/api/waifu2x", files={ 'image': open(path, 'rb'), }, headers={'api-key': api_key} ) return r.json()

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false

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0

null

0

1

0

null

0

6

cf4a571824e703e8dee7d972d1b977281408c11a

3,120

py

Python

alignholo.py

slimpotatoes/Holo_EM_2_keVs

e17a773092ff18b429ebd46ca380478d9fb3b819

[ "BSD-3-Clause" ]

null

alignholo.py

slimpotatoes/Holo_EM_2_keVs

e17a773092ff18b429ebd46ca380478d9fb3b819

[ "BSD-3-Clause" ]

null

alignholo.py

slimpotatoes/Holo_EM_2_keVs

e17a773092ff18b429ebd46ca380478d9fb3b819

[ "BSD-3-Clause" ]

null

import numpy as np from skimage import transform def shift_holo(shift_gui, em_data): # em_data.holo_2_aligned = shift(em_data.holo_2, shift_gui) em_data.holo_2_aligned = np.roll(em_data.holo_2, shift_gui, axis=(0, 1)) def crop_phase(shift_gui, image_not_shifted, image_shifted): print('shift image horizontal ', shift_gui[1]) print('shift gui vertical ', shift_gui[0]) if shift_gui[0] > 0: if shift_gui[1] > 0: image_not_shifted_crop = np.array(image_not_shifted[shift_gui[0]:, shift_gui[1]:]) image_shifted_crop = np.array(image_shifted[:-shift_gui[0], :-shift_gui[1]]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] < 0: image_not_shifted_crop = np.array(image_not_shifted[shift_gui[0]:, :shift_gui[1]]) image_shifted_crop = np.array(image_shifted[:-shift_gui[0], -shift_gui[1]:]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] == 0: image_not_shifted_crop = np.array(image_not_shifted[shift_gui[0]:, :]) image_shifted_crop = np.array(image_shifted[:-shift_gui[0], :]) return [image_not_shifted_crop, image_shifted_crop] elif shift_gui[0] < 0: if shift_gui[1] > 0: image_not_shifted_crop = np.array(image_not_shifted[:shift_gui[0], shift_gui[1]:]) image_shifted_crop = np.array(image_shifted[-shift_gui[0]:, :-shift_gui[1]]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] < 0: image_not_shifted_crop = np.array(image_not_shifted[:shift_gui[0], :shift_gui[1]]) image_shifted_crop = np.array(image_shifted[-shift_gui[0]:, -shift_gui[1]:]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] == 0: image_not_shifted_crop = np.array(image_not_shifted[:shift_gui[0], :]) image_shifted_crop = np.array(image_shifted[-shift_gui[0]:, :]) return [image_not_shifted_crop, image_shifted_crop] elif shift_gui[0] == 0: if shift_gui[1] > 0: image_not_shifted_crop = np.array(image_not_shifted[:, shift_gui[1]:]) image_shifted_crop = np.array(image_shifted[:, :-shift_gui[1]]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] < 0: image_not_shifted_crop = np.array(image_not_shifted[:, :shift_gui[1]]) image_shifted_crop = np.array(image_shifted[:, -shift_gui[1]:]) return [image_not_shifted_crop, image_shifted_crop] if shift_gui[1] == 0: image_not_shifted_crop = np.array(image_not_shifted[:, :]) image_shifted_crop = np.array(image_shifted[:, :]) return [image_not_shifted_crop, image_shifted_crop] def deform_image(scale, rotation, shear, translation, data_em): transformation = transform.AffineTransform(scale=scale, rotation=rotation, shear=shear, translation=translation) data_em.holo_2_aligned = transform.warp(data_em.holo_2 , transformation, preserve_range=1) print('Deformation done')

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0.697033

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117

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null

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1

0

1

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null

0

6

cf60515b82210ba3aba19760a8851e4ed65baee3

116

py

Python

protoseg/filters/sobel.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

null

protoseg/filters/sobel.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

null

protoseg/filters/sobel.py

chriamue/protoseg

4ddc7d613aadcb9d25b5773eff688214349ab23f

[ "MIT" ]

1

2020-03-30T07:10:54.000Z

import cv2 def sobel(img, dx, dy, ksize = 5): s = cv2.Sobel(img, cv2.CV_8U, dx, dy, ksize=ksize) return s

16.571429

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0.612069

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116

3.181818

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0.228571

0.257143

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55

19.333333

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null

0

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1

0

6

cf773198e508c6ee2544a751d3ed3072b58daf9a

12,341

py

Python

tests/test_module.py

mollstam/skal

af2ce460d9addd07ad2459125511308cfa7cdb44

[ "Apache-2.0" ]

3

2016-01-20T06:52:39.000Z

2019-01-18T09:06:32.000Z

tests/test_module.py

mollstam/skal

af2ce460d9addd07ad2459125511308cfa7cdb44

[ "Apache-2.0" ]

null

tests/test_module.py

mollstam/skal

af2ce460d9addd07ad2459125511308cfa7cdb44

[ "Apache-2.0" ]

3

2015-09-30T22:04:28.000Z

2020-12-26T10:36:20.000Z

# Copyright (c) 2012-2013 - Max Persson <max@looplab.se> # # 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 nose.tools import with_setup import inspect from helpers import OutputCapture from skal import SkalApp capture = OutputCapture(debug=False) module = 'skalmodule' # --- Test cases -------------------------------------------------------------- # Global tests @with_setup(capture.start, capture.stop) def test_description(): args = ['-h'] doc = """main help string more help here """ try: SkalApp(command_modules=[module], description=doc).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' doc = inspect.cleandoc(doc) assert doc in capture.stdout.getvalue(), ( 'help string should be "%s"' % doc) @with_setup(capture.start, capture.stop) def test_no_description(): args = ['-h'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'no main documentation' in capture.stderr.getvalue(), ( 'there should be a warning about missing main documentation') @with_setup(capture.start, capture.stop) def test_version(): args = ['--version'] version = '0.5.2' try: SkalApp(command_modules=[module], version=version).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert version in capture.stderr.getvalue(), ( 'version should be "%s"' % version) @with_setup(capture.start, capture.stop) def test_no_version(): args = ['-h'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'no version set' in capture.stderr.getvalue(), ( 'there should be a warning about no version set') @with_setup(capture.start, capture.stop) def test_missing_module(): args = ['-h'] try: SkalApp(command_modules=['missing_module']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'does not exist' in capture.stderr.getvalue(), ( 'there should be a warning about module not existing') # Argument tests @with_setup(capture.start, capture.stop) def test_argument_existing(): args = ['-h'] try: SkalApp( args={ '-b': {'help': 'bool argument', 'action': 'store_true'}, ('-s', '--string'): {'help': 'string argument with long name'} }, command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' arg = '-b' assert arg in capture.stdout.getvalue(), ( 'help should list argument "%s"' % arg) @with_setup(capture.start, capture.stop) def test_argument_doc(): # TODO: fix this test args = ['-h'] try: SkalApp( args={ '-b': {'help': 'bool argument', 'action': 'store_true'}, ('-s', '--string'): {'help': 'string argument with long name'} }, command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' arg = '-b' doc = 'bool argument' assert doc in capture.stdout.getvalue(), ( 'help string for "%s" should be "%s"' % (arg, doc)) @with_setup(capture.start, capture.stop) def test_argument_value_bool(): value = 'b' args = ['-b', 'first'] try: SkalApp( args={ '-b': {'help': 'bool argument', 'action': 'store_true'}, ('-s', '--string'): {'help': 'string argument with long name'} }, command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert value in capture.stdout.getvalue(), ( 'output should contain "%s"' % value) @with_setup(capture.start, capture.stop) def test_argument_value_string(): value = 'test' args = ['--string=' + value, 'first'] try: SkalApp( args={ '-b': {'help': 'bool argument', 'action': 'store_true'}, ('-s', '--string'): {'help': 'string argument with long name'} }, command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert value in capture.stdout.getvalue(), ( 'output should contain "%s"' % value) @with_setup(capture.start, capture.stop) def test_argument_value_bool_and_string(): value1 = 'b' value2 = 'test' args = ['-b', '--string=' + value2, 'first'] try: SkalApp( args={ '-b': {'help': 'bool argument', 'action': 'store_true'}, ('-s', '--string'): {'help': 'string argument with long name'} }, command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert value1 in capture.stdout.getvalue(), ( 'output should contain "%s"' % value1) assert value2 in capture.stdout.getvalue(), ( 'output should contain "%s"' % value2) # Command tests @with_setup(capture.start, capture.stop) def test_command_existing(): value = 'first' args = [value] SkalApp(command_modules=[module]).run(args) assert value in capture.stdout.getvalue(), ( 'output should contain "%s"' % value) @with_setup(capture.start, capture.stop) def test_command_non_existing(): args = ['other'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code != 0, 'exit code should not be 0' assert 'ImportError' not in capture.stderr.getvalue(), ( 'output should not contain ImportError') @with_setup(capture.start, capture.stop) def test_command_doc(): args = ['first', '-h'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' import skalmodule doc = inspect.getdoc(skalmodule.first) assert doc in capture.stdout.getvalue(), ( 'help string should be "%s"' % doc) @with_setup(capture.start, capture.stop) def test_command_no_doc(): args = ['no_doc'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'no_doc' in capture.stderr.getvalue(), ( 'there should be a warning about missing documentation') @with_setup(capture.start, capture.stop) def test_command_without_decorator(): args = ['second'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code != 0, 'exit code should not be 0' @with_setup(capture.start, capture.stop) def test_command_duplicate(): args = ['-h'] try: SkalApp(command_modules=[module, 'skalmodule_nodoc']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'duplicate' in capture.stderr.getvalue(), ( 'duplicate commands should print warning and be skipped') assert 'first command, second instance' not in capture.stdout.getvalue(), ( 'duplicate commands should not be added') @with_setup(capture.start, capture.stop) def test_command_import_error(): args = ['-h'] try: SkalApp(command_modules=['skalmodule_importerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'ImportError' in capture.stderr.getvalue(), ( 'output should contain ImportError') @with_setup(capture.start, capture.stop) def test_command_syntax_error(): args = ['-h'] try: SkalApp(command_modules=['skalmodule_syntaxerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'SyntaxError' in capture.stderr.getvalue(), ( 'output should contain SyntaxError') @with_setup(capture.start, capture.stop) def test_command_name_error(): args = ['-h'] try: SkalApp(command_modules=['skalmodule_nameerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'NameError' in capture.stderr.getvalue(), ( 'output should contain NameError') # Subcommand tests @with_setup(capture.start, capture.stop) def test_subcommand_doc(): args = [module, '-h'] try: SkalApp(subcommand_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' import skalmodule doc = inspect.getdoc(skalmodule) assert doc in capture.stdout.getvalue(), ( 'help string should be "%s"' % doc) @with_setup(capture.start, capture.stop) def test_subcommand_no_doc(): args = ['-h'] try: SkalApp(subcommand_modules=['skalmodule_nodoc']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'skalmodule_nodoc' in capture.stderr.getvalue(), ( 'there should be a warning about missing documentation') @with_setup(capture.start, capture.stop) def test_subcommand_import_error(): args = ['-h'] try: SkalApp(subcommand_modules=['skalmodule_importerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'ImportError' in capture.stderr.getvalue(), ( 'output should contain ImportError') @with_setup(capture.start, capture.stop) def test_subcommand_syntax_error(): args = ['-h'] try: SkalApp(subcommand_modules=['skalmodule_syntaxerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'SyntaxError' in capture.stderr.getvalue(), ( 'output should contain SyntaxError') @with_setup(capture.start, capture.stop) def test_subcommand_name_error(): args = ['-h'] try: SkalApp(subcommand_modules=['skalmodule_nameerror']).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'NameError' in capture.stderr.getvalue(), ( 'output should contain NameError') @with_setup(capture.start, capture.stop) def test_subcommand_command_existing(): value = 'first' args = [module, value] SkalApp(subcommand_modules=[module]).run(args) assert value in capture.stdout.getvalue(), ( 'output should contain "%s"' % value) @with_setup(capture.start, capture.stop) def test_subcommand_command_non_existing(): args = [module, 'other'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code != 0, 'exit code should not be 0' @with_setup(capture.start, capture.stop) def test_subcommand_command_doc(): args = [module, 'first', '-h'] try: SkalApp(subcommand_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' import skalmodule doc = inspect.getdoc(skalmodule.first) assert doc in capture.stdout.getvalue(), ( 'help string should be "%s"' % doc) @with_setup(capture.start, capture.stop) def test_subcommand_command_no_doc(): args = [module, 'no_doc'] try: SkalApp(subcommand_modules=[module]).run(args) except SystemExit as e: assert e.code == 0, 'exit code should be 0' assert 'no_doc' in capture.stderr.getvalue(), ( 'there should be a warning about missing documentation') @with_setup(capture.start, capture.stop) def test_subcommand_command_without_decorator(): args = [module, 'second'] try: SkalApp(command_modules=[module]).run(args) except SystemExit as e: assert e.code != 0, 'exit code should not be 0'

31.402036

79

0.635038

1,570

12,341

4.89172

0.102548

0.036458

0.060417

0.079297

0.802344

0.785286

0.76875

0.760026

0.716016

0.657813

0

0.00801

0.231181

12,341

392

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31.482143

0.801433

0.059396

0

0.674342

0

0.219365

0.007594

0

0.002551

0.180921

1

0.095395

false

0

0.055921

0

0.151316

0.003289

0

null

0

1

0

null

0

6

cf870b0c1b4a980981b2414d38256f569ca4703f

549

py

Python

libopy/__init__.py

evdatsion/libopy

6360dad043929b6767abbfdddbf3accfa8920797

[ "MIT" ]

null

libopy/__init__.py

evdatsion/libopy

6360dad043929b6767abbfdddbf3accfa8920797

[ "MIT" ]

null

libopy/__init__.py

evdatsion/libopy

6360dad043929b6767abbfdddbf3accfa8920797

[ "MIT" ]

null

from hdwallets import BIP32DerivationError as BIP32DerivationError # noqa: F401 from libopy._transaction import Transaction as Transaction # noqa: F401 from libopy._wallet import generate_wallet as generate_wallet # noqa: F401 from libopy._wallet import privkey_to_address as privkey_to_address # noqa: F401 from libopy._wallet import privkey_to_pubkey as privkey_to_pubkey # noqa: F401 from libopy._wallet import pubkey_to_address as pubkey_to_address # noqa: F401 from libopy._wallet import seed_to_privkey as seed_to_privkey # noqa: F401

61

81

0.834244

80

549

5.425

0.2

0.129032

0.165899

0.248848

0.428571

0.290323

0

0.052301

0.129326

549

8

82

68.625

0.855649

0.138434

0

1

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

6

d8433ce0335d10c182226dda6e0406924cc46172

2,264

py

Python

tests/unitary/LiquidityGaugeWrapper/test_approve.py

forest-friends/curve-dao-contracts

dfc4f279e1cf87723e672f1255a7b87c00ff997e

[ "MIT" ]

null

tests/unitary/LiquidityGaugeWrapper/test_approve.py

forest-friends/curve-dao-contracts

dfc4f279e1cf87723e672f1255a7b87c00ff997e

[ "MIT" ]

null

tests/unitary/LiquidityGaugeWrapper/test_approve.py

forest-friends/curve-dao-contracts

dfc4f279e1cf87723e672f1255a7b87c00ff997e

[ "MIT" ]

null

#!/usr/bin/python3 import brownie import pytest @pytest.mark.parametrize("idx", range(5)) def test_initial_approval_is_zero(gauge_wrapper, accounts, idx): assert gauge_wrapper.allowance(accounts[0], accounts[idx]) == 0 def test_approve(gauge_wrapper, accounts): gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[1]) == 10**19 def test_modify_approve(gauge_wrapper, accounts): gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) gauge_wrapper.approve(accounts[1], 12345678, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[1]) == 12345678 def test_revoke_approve(gauge_wrapper, accounts): gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) gauge_wrapper.approve(accounts[1], 0, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[1]) == 0 def test_approve_self(gauge_wrapper, accounts): gauge_wrapper.approve(accounts[0], 10**19, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[0]) == 10**19 def test_only_affects_target(gauge_wrapper, accounts): gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[1], accounts[0]) == 0 def test_returns_true(gauge_wrapper, accounts): tx = gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) assert tx.return_value is True def test_approval_event_fires(accounts, gauge_wrapper): tx = gauge_wrapper.approve(accounts[1], 10**19, {'from': accounts[0]}) assert len(tx.events) == 1 assert tx.events["Approval"].values() == [accounts[0], accounts[1], 10**19] def test_increase_allowance(accounts, gauge_wrapper): gauge_wrapper.approve(accounts[1], 100, {'from': accounts[0]}) gauge_wrapper.increaseAllowance(accounts[1], 403, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[1]) == 503 def test_decrease_allowance(accounts, gauge_wrapper): gauge_wrapper.approve(accounts[1], 100, {'from': accounts[0]}) gauge_wrapper.decreaseAllowance(accounts[1], 34, {'from': accounts[0]}) assert gauge_wrapper.allowance(accounts[0], accounts[1]) == 66

32.342857

79

0.717756

309

2,264

5.080906

0.174757

0.236943

0.107643

0.189172

0.711465

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0

0.061337

0.121466

2,264

69

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32.811594

0.728004

0.007509

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false

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0.054054

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null

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1

0

1

0

1

0

null

0

1

0

6

d84f4031891110170b6afde142b53e9c62183e51

4,100

py

Python

src/utils.py

danbailo/T1-Teoria-Computacao

542c5c28289f48cd73ab6ad3f6654e330990de60

[ "MIT" ]

null

src/utils.py

danbailo/T1-Teoria-Computacao

542c5c28289f48cd73ab6ad3f6654e330990de60

[ "MIT" ]

null

src/utils.py

danbailo/T1-Teoria-Computacao

542c5c28289f48cd73ab6ad3f6654e330990de60

[ "MIT" ]

null

import os from time import time import json from collections import defaultdict import core hooks = [ ('Crescente', core.crescent), ('Decrescente', core.decrescent), ('Eficiente', core.efficiency) ] def create_imgs_directory(): if not os.path.exists(os.path.join('..','imgs')): os.makedirs(os.path.join('..','imgs')) def create_results_directory(): if not os.path.exists(os.path.join('..','results')): os.makedirs(os.path.join('..','results')) def get_instances(directory): return sorted(os.listdir(os.path.join('..',directory)), key=lambda k:int(k.strip('input.in'))) def get_exact_results(directory): result = {} time_results = {} for input_file in get_instances(directory): result[input_file] = {} time_results[input_file] = {} with open(os.path.join('..',directory,input_file)) as file: state = 0 weight_items = [] values_items = [] for line in file: inst = line.split() if state == 0: number_items = int(inst[0]) state = 1 elif state == 1: item_id = int(inst[0]) values_items.append(int(inst[1])) weight_items.append(int(inst[2])) if item_id == number_items: state = 2 elif state == 2: weight_max = int(inst[0]) start = time() result[input_file]["Exato"] = core.exact(number_items, weight_max,values_items, weight_items) time_results[input_file]["Exato"] = time() - start with open(os.path.join('..','results','result_exact.json'),'w') as file: file.write(json.dumps(result,indent=4)) with open(os.path.join('..','results','time_exact.json'),'w') as file: file.write(json.dumps(time_results,indent=4)) def get_greedy_results(directory): result = {} time_results = {} for input_file in get_instances(directory): result[input_file] = {} time_results[input_file] = {} with open(os.path.join('..',directory,input_file)) as file: state = 0 weight_items = [] values_items = [] for line in file: inst = line.split() if state == 0: number_items = int(inst[0]) state = 1 elif state == 1: item_id = int(inst[0]) values_items.append(int(inst[1])) weight_items.append(int(inst[2])) if item_id == number_items: state = 2 elif state == 2: weight_max = int(inst[0]) for name, f in hooks: start = time() result[input_file][name] = f(number_items, weight_max,values_items, weight_items) time_results[input_file][name] = time() - start with open(os.path.join('..','results','result.json'),'w') as file: file.write(json.dumps(result,indent=4)) with open(os.path.join('..','results','time.json'),'w') as file: file.write(json.dumps(time_results,indent=4)) def get_GRASP_results(directory): result = {} time_results = {} windows = [2,3,4,5,6,7,8,9] iters = [10,100,1000,10000] for input_file in get_instances(directory): result[input_file] = {} time_results[input_file] = {} with open(os.path.join('..',directory,input_file)) as file: state = 0 weight_items = [] values_items = [] for line in file: inst = line.split() if state == 0: number_items = int(inst[0]) state = 1 elif state == 1: item_id = int(inst[0]) values_items.append(int(inst[1])) weight_items.append(int(inst[2])) if item_id == number_items: state = 2 elif state == 2: weight_max = int(inst[0]) for max_it in iters: result[input_file]["Máx Iterações - "+str(max_it)] = {} time_results[input_file]["Máx Iterações - "+str(max_it)] = {} for window in windows: start = time() result[input_file]["Máx Iterações - "+str(max_it)]["Janela - "+str(window)] = core.grasp(max_it, window, number_items, weight_max, values_items, weight_items) time_results[input_file]["Máx Iterações - "+str(max_it)]["Janela - "+str(window)] = time() - start with open(os.path.join('..','results','result_GRASP.json'),'w', encoding='utf8') as file: file.write(json.dumps(result,indent=4, ensure_ascii=False)) with open(os.path.join('..','results','time_GRASP.json'),'w', encoding='utf8') as file: file.write(json.dumps(time_results,indent=4, ensure_ascii=False))

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d8ecc3cfe2a6d87e064d01f92bd2ca1a17facc85

27,948

py

Python

samitorch/inputs/datasets.py

sami-ets/samitorch

b0407c110ae198a9e18594716811bd7184ff2f36

[ "MIT" ]

7

2019-10-19T20:20:37.000Z

2021-02-03T03:47:54.000Z

samitorch/inputs/datasets.py

sami-ets/SAMITorch

b0407c110ae198a9e18594716811bd7184ff2f36

[ "MIT" ]

null

samitorch/inputs/datasets.py

sami-ets/SAMITorch

b0407c110ae198a9e18594716811bd7184ff2f36

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Copyright 2019 SAMITorch Authors. All Rights Reserved. # # Licensed under the MIT License; # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://opensource.org/licenses/MIT # # 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. # ============================================================================== import abc import copy import os from typing import Callable, List, Optional, Tuple, Union import numpy as np from sklearn.model_selection import ShuffleSplit, StratifiedShuffleSplit from torchvision.transforms import Compose from torch.utils.data.dataset import Dataset from samitorch.inputs.augmentation.strategies import DataAugmentationStrategy from samitorch.inputs.transformers import ToNumpyArray, PadToPatchShape, ToNDTensor from samitorch.inputs.sample import Sample from samitorch.inputs.patch import Patch, CenterCoordinate from samitorch.inputs.images import Modality from samitorch.utils.slice_builder import SliceBuilder from samitorch.utils.files import extract_file_paths, split_filename class AbstractDatasetFactory(metaclass=abc.ABCMeta): @staticmethod @abc.abstractmethod def create_train_test(*args, **kwargs): raise NotImplementedError @staticmethod @abc.abstractmethod def create_train_valid_test(*args, **kwargs): raise NotImplementedError class SegmentationDataset(Dataset): """ Create a dataset class in PyTorch for reading NIfTI files. """ def __init__(self, source_paths: List[str], target_paths: List[str], samples: List[Sample], modalities: Union[Modality, List[Modality]], dataset_id: int = None, transforms: Optional[Callable] = None, augment: DataAugmentationStrategy = None) -> None: """ Dataset initializer. Args: source_paths (List of str): Path to source images. target_paths (List of str): Path to target (labels) images. samples (list of :obj:`samitorch.inputs.sample.Sample`): A list of Sample objects. modality (:obj:`samitorch.inputs.images.Modalities`): The modality of the data set. dataset_id (int): An integer representing the ID of the data set. transforms (Callable): transform to apply to both source and target images. augment (Callable): transform to apply as data augmentation on source image. """ self._source_paths = source_paths self._target_paths = target_paths self._samples = samples self._modalities = modalities self._dataset_id = dataset_id self._transform = transforms self._augment = augment def __len__(self): return len(self._samples) def __getitem__(self, idx: int): sample = self._samples[idx] if self._transform is not None: sample = self._transform(sample) if self._augment is not None: sample.augmented_x = self._augment(sample.x) else: sample.augmented_x = sample.x return sample class MultimodalSegmentationDataset(Dataset): """ Create a dataset class in PyTorch for reading NIfTI files. """ def __init__(self, source_paths: List[str], target_paths: List[str], samples: List[Sample], modalities: List[Modality], dataset_id: int = None, transforms: Optional[Callable] = None, augment: DataAugmentationStrategy = None) -> None: """ Dataset initializer. Args: source_paths (List of str): Path to source images. target_paths (List of str): Path to target (labels) images. samples (list of :obj:`samitorch.inputs.sample.Sample`): A list of Sample objects. modalities (List of :obj:`samitorch.inputs.images.Modalities`): The list of modalities of the data set. dataset_id (int): An integer representing the ID of the data set. transforms (Callable): transform to apply to both source and target images. augment (Callable): transform to apply as data augmentation on source image. """ self._source_paths = source_paths self._target_paths = target_paths self._samples = samples self._modalities = modalities self._dataset_id = dataset_id self._transform = transforms self._augment = augment def __len__(self): return len(self._samples) def __getitem__(self, idx: int): sample = self._samples[idx] if self._transform is not None: sample = self._transform(sample) if self._augment is not None: sample.augmented_x = self._augment(sample.x) else: sample.augmented_x = sample.x return sample class PatchDataset(SegmentationDataset): """ Create a dataset of patches in PyTorch for reading NiFTI files and slicing them into fixed shape. """ def __init__(self, source_paths: List[str], target_paths: List[str], samples: List[Sample], patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], modality: Modality, dataset_id: int = None, transforms: Optional[Callable] = None, augment: DataAugmentationStrategy = None) -> None: """ Dataset initializer. Args: source_paths (List of str): Path to source images. target_paths (List of str): Path to target (labels) images. samples (list of :obj:`samitorch.inputs.sample.Sample`): A list of Sample objects. patch_size (Tuple of int): A tuple representing the desired patch size. step (Tuple of int): A tuple representing the desired step between two patches. modality (:obj:`samitorch.inputs.images.Modalities`): The modality of the data set. dataset_id (int): An integer representing the ID of the data set. transforms (Callable): transform to apply to both source and target images. augment (Callable): transform to apply as data augmentation on source image. """ super(PatchDataset, self).__init__(source_paths, target_paths, samples, modality, dataset_id, transforms, augment) self._pre_transform = Compose([ToNumpyArray(), PadToPatchShape(patch_size=patch_size, step=step)]) @property def samples(self): return self._samples @samples.setter def samples(self, samples): self._samples = samples @property def modality(self): return self._modalities def __len__(self): return len(self._samples) def __getitem__(self, idx: int): # Get the sample according to the id. sample = self._samples[idx] image_id = sample.x.image_id image = self._source_paths[image_id] target = self._target_paths[image_id] image = self._pre_transform(image) target = self._pre_transform(target) # Get the patch and its slice out of this sample. patch_x, patch_y = sample.x, sample.y slice_x, slice_y = patch_x.slice, patch_y.slice slice_x, slice_y = image[tuple(slice_x)], target[tuple(slice_y)] center_coordinate = CenterCoordinate(slice_x, slice_y) transformed_patch_x = Patch(slice_x, image_id, center_coordinate) transformed_patch_y = Patch(slice_y, image_id, center_coordinate) sample.x = transformed_patch_x sample.y = transformed_patch_y if self._transform is not None: sample = self._transform(sample) if self._augment is not None: sample = self._augment(sample) return sample class MultimodalPatchDataset(MultimodalSegmentationDataset): """ Create a dataset class in PyTorch for reading NIfTI files. """ def __init__(self, source_paths: List[str], target_paths: List[str], samples: List[Sample], patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], modalities: List[Modality], dataset_id: int = None, transforms: Optional[Callable] = None, augment: DataAugmentationStrategy = None) -> None: """ Dataset initializer. Args: source_paths (List of str): Path to source images. target_paths (List of str): Path to target (labels) images. samples (list of :obj:`samitorch.inputs.sample.Sample`): A list of Sample objects. modality_1 (:obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. modality_2 (:obj:`samitorch.inputs.images.Modalities`): The second modality of the data set. dataset_id (int): An integer representing the ID of the data set. transforms (Callable): transform to apply to both source and target images. augment (Callable): transform to apply as data augmentation on source image. """ super(MultimodalPatchDataset, self).__init__(source_paths, target_paths, samples, modalities, dataset_id, transforms, augment) self._pre_transform = Compose([ToNumpyArray(), PadToPatchShape(patch_size=patch_size, step=step)]) def __len__(self): return len(self._samples) def __getitem__(self, idx: int): # Get the sample according to the id. sample = self._samples[idx] image_id = sample.x.image_id image_modality_1 = self._source_paths[image_id][0] image_modality_2 = self._source_paths[image_id][1] target = self._target_paths[image_id] image_modality_1 = self._pre_transform(image_modality_1) image_modality_2 = self._pre_transform(image_modality_2) target = self._pre_transform(target) # Get the patch and its slice out of this sample. patch_x, patch_y = sample.x, sample.y slice_x, slice_y = patch_x.slice, patch_y.slice # Get the real image data for each modality and target. x_modality_1 = image_modality_1[tuple(slice_x)] x_modality_2 = image_modality_2[tuple(slice_x)] y = target[tuple(slice_y)] # Concatenate on channel axis both modalities. slice_x = np.concatenate((x_modality_1, x_modality_2), axis=0) slice_y = y center_coordinate = CenterCoordinate(slice_x, slice_y) transformed_patch_x = Patch(slice_x, image_id, center_coordinate) transformed_patch_y = Patch(slice_y, image_id, center_coordinate) sample.x = transformed_patch_x sample.y = transformed_patch_y if self._transform is not None: sample = self._transform(sample) if self._augment is not None: sample = self._augment(sample) return sample class PatchDatasetFactory(AbstractDatasetFactory): @staticmethod def create_train_test(source_dir: str, target_dir: str, modalities: Union[Modality, List[Modality]], patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], dataset_id: int, test_size: float, keep_centered_on_foreground: bool = True, augmentation_strategy: DataAugmentationStrategy = None): """ Create a SegmentationDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modalities (List of :obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ if isinstance(modalities, list): return PatchDatasetFactory._create_multimodal_train_test(source_dir, target_dir, modalities, patch_size, step, dataset_id, test_size, keep_centered_on_foreground, augmentation_strategy) else: return PatchDatasetFactory._create_single_modality_train_test(source_dir, target_dir, modalities, patch_size, step, dataset_id, test_size, keep_centered_on_foreground, augmentation_strategy) @staticmethod def _create_single_modality_train_test(source_dir: str, target_dir: str, modality: Modality, patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], dataset_id: int, test_size: float, keep_centered_on_foreground: bool = True, augmentation_strategy: DataAugmentationStrategy = None): """ Create a PatchDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modality (:obj:`samitorch.inputs.images.Modalities`): The modality of the data set. patch_size (Tuple of int): A tuple representing the desired patch size. step (Tuple of int): A tuple representing the desired step between two patches. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. keep_centered_on_foreground (bool): Keep only patches which center coordinates belongs to a foreground class. augmentation_strategy (:obj:`samitorch.inputs.augmentation.strategies.DataAugmentationStrategy`): Data augmentation strategy to apply on inputs. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ source_dir = os.path.join(source_dir, str(modality)) source_paths, target_paths = np.array(extract_file_paths(source_dir)), np.array(extract_file_paths(target_dir)) transforms = Compose([ToNumpyArray(), PadToPatchShape(patch_size=patch_size, step=step)]) patches = PatchDatasetFactory.get_patches(source_paths, target_paths, patch_size, step, transforms, keep_centered_on_foreground) label_patches = copy.deepcopy(patches) train_ids, test_ids = next( StratifiedShuffleSplit(n_splits=1, test_size=test_size).split(range(len(patches)), list( map(lambda patch: patch.class_id, patches)))) train_samples = list( map(lambda source, target: Sample(source, target, dataset_id=dataset_id, is_labeled=True), patches[train_ids], label_patches[train_ids])) test_samples = list( map(lambda source, target: Sample(source, target, dataset_id=dataset_id, is_labeled=True), patches[test_ids], label_patches[test_ids])) training_dataset = PatchDataset(list(source_paths), list(target_paths), train_samples, patch_size, step, modality, dataset_id, Compose([ToNDTensor()]), augmentation_strategy) test_dataset = PatchDataset(list(source_paths), list(target_paths), test_samples, patch_size, step, modality, dataset_id, Compose([ToNDTensor()]), augmentation_strategy) return training_dataset, test_dataset @staticmethod def _create_multimodal_train_test(source_dir: str, target_dir: str, modalities: List[Modality], patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], dataset_id: int, test_size: float, keep_centered_on_foreground: bool = False, augmentation_strategy: DataAugmentationStrategy = None): """ Create a MultimodalPatchDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modality_1 (:obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. modality_2 (:obj:`samitorch.inputs.images.Modalities`): The second modality of the data set. patch_size (Tuple of int): A tuple representing the desired patch size. step (Tuple of int): A tuple representing the desired step between two patches. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. keep_centered_on_foreground (bool): Keep only patches which center coordinates belongs to a foreground class. augmentation_strategy (:obj:`samitorch.inputs.augmentation.strategies.DataAugmentationStrategy`): Data augmentation strategy to apply on inputs. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ source_dirs = list(map(lambda modality: os.path.join(source_dir, str(modality)), modalities)) source_paths = list(map(lambda source_dir: np.array(extract_file_paths(source_dir)), source_dirs)) target_paths = np.array(extract_file_paths(target_dir)) source_paths = np.stack((modality for modality in source_paths), axis=1) transforms = Compose([ToNumpyArray(), PadToPatchShape(patch_size=patch_size, step=step)]) patches = PatchDatasetFactory.get_patches(source_paths, target_paths, patch_size, step, transforms, keep_centered_on_foreground) label_patches = copy.deepcopy(patches) train_ids, test_ids = next( StratifiedShuffleSplit(n_splits=1, test_size=test_size).split(range(len(patches)), list( map(lambda patch: patch.class_id, patches)))) train_samples = list( map(lambda source, target: Sample(source, target, dataset_id=dataset_id, is_labeled=True), patches[train_ids], label_patches[train_ids])) test_samples = list( map(lambda source, target: Sample(source, target, dataset_id=dataset_id, is_labeled=True), patches[test_ids], label_patches[test_ids])) training_dataset = MultimodalPatchDataset(list(source_paths), list(target_paths), train_samples, patch_size, step, modalities, dataset_id, Compose([ToNDTensor()]), augmentation_strategy) test_dataset = MultimodalPatchDataset(list(source_paths), list(target_paths), test_samples, patch_size, step, modalities, dataset_id, Compose([ToNDTensor()]), augmentation_strategy) return training_dataset, test_dataset @staticmethod def get_patches(source_paths: np.ndarray, target_paths: np.ndarray, patch_size: Tuple[int, int, int, int], step: Tuple[int, int, int, int], transforms: Callable, keep_centered_on_foreground: bool = False): patches = list() for idx in range(len(source_paths)): source_path, target_path = source_paths[idx], target_paths[idx] sample = Sample(x=source_path, y=target_path, dataset_id=None, is_labeled=True) transformed_sample = transforms(sample) slices = SliceBuilder(transformed_sample.x.shape, patch_size=patch_size, step=step).build_slices() for slice in slices: if np.count_nonzero(transformed_sample.x[slice]) > 0: center_coordinate = CenterCoordinate(transformed_sample.x[slice], transformed_sample.y[slice]) patches.append( Patch(slice, idx, center_coordinate)) else: pass if keep_centered_on_foreground: patches = list(filter(lambda patch: patch.center_coordinate.is_foreground, patches)) return np.array(patches) class SegmentationDatasetFactory(AbstractDatasetFactory): @staticmethod def create_train_test(source_dir: str, target_dir: str, modalities: Union[Modality, List[Modality]], dataset_id: int, test_size: float, augmentation_strategy: DataAugmentationStrategy = None): """ Create a SegmentationDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modalities (List of :obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ if isinstance(modalities, list): return SegmentationDatasetFactory._create_multimodal_train_test(source_dir, target_dir, modalities, dataset_id, test_size, augmentation_strategy) else: return SegmentationDatasetFactory._create_single_modality_train_test(source_dir, target_dir, modalities, dataset_id, test_size, augmentation_strategy) @staticmethod def _create_single_modality_train_test(source_dir: str, target_dir: str, modality: Modality, dataset_id: int, test_size: float, augmentation_strategy: DataAugmentationStrategy = None): """ Create a SegmentationDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modality (:obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. augmentation_strategy (:obj:`samitorch.inputs.augmentation.strategies.DataAugmentationStrategy`): Data augmentation strategy to apply on inputs. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ source_dir = os.path.join(source_dir, str(modality)) source_paths, target_paths = np.array(extract_file_paths(source_dir)), np.array(extract_file_paths(target_dir)) train_ids, test_ids = next(ShuffleSplit(n_splits=1, test_size=test_size).split(source_paths, target_paths)) train_samples = list( map(lambda source, target: Sample(source, target, is_labeled=True), source_paths[train_ids], target_paths[train_ids])) test_samples = list( map(lambda source, target: Sample(source, target, is_labeled=True), source_paths[test_ids], target_paths[test_ids])) training_dataset = SegmentationDataset(list(source_paths), list(target_paths), train_samples, modality, dataset_id, Compose([ToNumpyArray(), ToNDTensor()]), augmentation_strategy) test_dataset = SegmentationDataset(list(source_paths), list(target_paths), test_samples, modality, dataset_id, Compose([ToNumpyArray(), ToNDTensor()]), augmentation_strategy) return training_dataset, test_dataset @staticmethod def _create_multimodal_train_test(source_dir: str, target_dir: str, modalities: List[Modality], dataset_id: int, test_size: float, augmentation_strategy: DataAugmentationStrategy = None): """ Create a MultimodalDataset object for both training and validation. Args: source_dir (str): Path to source directory. target_dir (str): Path to target directory. modality_1 (:obj:`samitorch.inputs.images.Modalities`): The first modality of the data set. modality_2 (:obj:`samitorch.inputs.images.Modalities`): The second modality of the data set. dataset_id (int): An integer representing the ID of the data set. test_size (float): The size in percentage of the validation set over total number of samples. augmentation_strategy (:obj:`samitorch.inputs.augmentation.strategies.DataAugmentationStrategy`): Data augmentation strategy to apply on inputs. Returns: Tuple of :obj:`torch.utils.data.dataset`: A tuple containing both training and validation dataset. """ source_dirs = list(map(lambda modality: os.path.join(source_dir, str(modality)), modalities)) source_paths = list(map(lambda source_dir: np.array(extract_file_paths(source_dir)), source_dirs)) target_paths = np.array(extract_file_paths(target_dir)) source_paths = np.stack((modality for modality in source_paths), axis=1) train_ids, test_ids = next(ShuffleSplit(n_splits=1, test_size=test_size).split(source_paths, target_paths)) train_samples = list( map(lambda source, target: Sample(source, target, is_labeled=True), source_paths[train_ids], target_paths[train_ids])) test_samples = list( map(lambda source, target: Sample(source, target, is_labeled=True), source_paths[test_ids], target_paths[test_ids])) training_dataset = MultimodalSegmentationDataset(list(source_paths), list(target_paths), train_samples, modalities, dataset_id, Compose([ToNumpyArray(), ToNDTensor()]), augmentation_strategy) test_dataset = MultimodalSegmentationDataset(list(source_paths), list(target_paths), test_samples, modalities, dataset_id, Compose([ToNumpyArray(), ToNDTensor()]), augmentation_strategy) return training_dataset, test_dataset

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null

0

1

0

null

0

6

2b1628a48b2705c10e658d825951d894bf2a0132

37

py

Python

unique/__init__.py

amarinelli/unique-value-domain

cab781736ffa3ce193edd21c7fed475265ba9781

[ "MIT" ]

1

2020-05-20T19:40:49.000Z

unique/__init__.py

amarinelli/unique-value-domain

cab781736ffa3ce193edd21c7fed475265ba9781

[ "MIT" ]

null

unique/__init__.py

amarinelli/unique-value-domain

cab781736ffa3ce193edd21c7fed475265ba9781

[ "MIT" ]

null

from .core import get_unique_feature

18.5

36

0.864865

6

37

5

1

0

0.108108

37

1

37

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

2b565319e48bbc05e0a9d26f84b4e2327398bd35

27

py

Python

ham_package/ham_module.py

thinkAmi-sandbox/python_modulefinder-sample

564f337f05656c0a196fea39367a310c38bef02d

[ "Unlicense" ]

null

ham_package/ham_module.py

thinkAmi-sandbox/python_modulefinder-sample

564f337f05656c0a196fea39367a310c38bef02d

[ "Unlicense" ]

null

ham_package/ham_module.py

thinkAmi-sandbox/python_modulefinder-sample

564f337f05656c0a196fea39367a310c38bef02d

[ "Unlicense" ]

null

def ham(): print('ham')

13.5

16

0.518519

4

27

3.5

0.75

0

0.222222

27

2

16

13.5

0.666667

0

0.107143

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

6

2b5d1d95f862e6718444f43838f118a934572db6

21

py

Python

python/fasttext_module/fasttext/numpy/__init__.py

telescout/fastText

8b657bbc8edd2fe200623f952be0088ff790d4b9

[ "MIT" ]

null

python/fasttext_module/fasttext/numpy/__init__.py

telescout/fastText

8b657bbc8edd2fe200623f952be0088ff790d4b9

[ "MIT" ]

null

python/fasttext_module/fasttext/numpy/__init__.py

telescout/fastText

8b657bbc8edd2fe200623f952be0088ff790d4b9

[ "MIT" ]

null

from .numpy import *

10.5

20

0.714286

3

21

5

1

0

0.190476

21

1

21

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

995dd9616d90ac26230301e47f49a18e2d451805

20

py

Python

pip/c19/countries/__init__.py

siphr/c19

1acf258668c0c5ede13f579c06aec73eee443c7b

[ "MIT" ]

null

pip/c19/countries/__init__.py

siphr/c19

1acf258668c0c5ede13f579c06aec73eee443c7b

[ "MIT" ]

null

pip/c19/countries/__init__.py

siphr/c19

1acf258668c0c5ede13f579c06aec73eee443c7b

[ "MIT" ]

null

from .pk import pk

6.666667

18

0.7

4

20

3.5

0.75

0

0.25

20

2

19

10

0.933333

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

510b017f4477220c885d5ee9b0de9dc852fc5650

84

py

Python

tests/test_lola.py

arghyagod-coder/lolaaur

c5efa29f183e4803f43a0387ada9bb5696beda4b

[ "MIT" ]

1

2021-06-29T06:59:25.000Z

tests/test_lola.py

arghyagod-coder/lolaaur

c5efa29f183e4803f43a0387ada9bb5696beda4b

[ "MIT" ]

null

tests/test_lola.py

arghyagod-coder/lolaaur

c5efa29f183e4803f43a0387ada9bb5696beda4b

[ "MIT" ]

null

from lolacli import __version__ def test_version(): assert __version__=='0.1.4'

21

31

0.75

12

84

4.5

0.833333

0

0.041667

0.142857

84

4

32

21

0.708333

0

0.058824

0

0.333333

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

5a9208ec4e5dcd5d02b11b43ad734388025cb3cb

373

py

Python

SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Center_of_Gravity/__init__.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Center_of_Gravity/__init__.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

SUAVE/SUAVE-2.5.0/trunk/SUAVE/Methods/Center_of_Gravity/__init__.py

Vinicius-Tanigawa/Undergraduate-Research-Project

e92372f07882484b127d7affe305eeec2238b8a9

[ "MIT" ]

null

## @defgroup Methods-Center_of_Gravity Center_of_Gravity # Description # @ingroup Methods from .compute_component_centers_of_gravity import compute_component_centers_of_gravity from .compute_mission_center_of_gravity import compute_mission_center_of_gravity from .compute_fuel_center_of_gravity_longitudinal_range import compute_fuel_center_of_gravity_longitudinal_range

41.444444

112

0.911528

51

373

6.039216

0.313725

0.233766

0.292208

0.162338

0.675325

0.279221

0

0.061662

373

8

113

46.625

0.88

0.219839

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

5ae4452bc1f2fe79d8b631f61bc01d9888d6302b

6,094

py

Python

analysis.py

fanta-mnix/speech-to-text-comparison

1e43b55edea2dd943f08b9277bd63e2551299e0c

[ "MIT" ]

null

analysis.py

fanta-mnix/speech-to-text-comparison

1e43b55edea2dd943f08b9277bd63e2551299e0c

[ "MIT" ]

null

analysis.py

fanta-mnix/speech-to-text-comparison

1e43b55edea2dd943f08b9277bd63e2551299e0c

[ "MIT" ]

null

from Levenshtein import distance def ratio(t1, t2): return 1 - float(distance(t1, t2))/max(len(t1), len(t2)) audio1 = '''amigos são poucos e escassos ao longo da vida e esta é uma lição que eu duramente aprendi nós temos centenas de conhecidos mas temos poucos amigos e eu já lancei uma vez e volta a dizer que é um teste eficaz infalível para vocês aplicarem sobre a amizade ao retornarem às suas casas ao longo dos próximos dias reunam os amigos e digam sobre o sucesso de vocês não falem de fracasso o fracasso provoca solidariedade entre todas as pessoas o fracasso provoca proximidade entre as pessoas se eu disser que tem um câncer receberei abraços todas as pessoas'''.lower() bing1 = '''amigos são poucos e escassos ao longo da vida eh essa é uma lição que eu duramente aprende nós temos centenas de conhecidos mas temos poucos amigos e eu já lancei uma vez de volta dizer que é um teste e ficas infalível pra vocês aplicarem sobre amizade ao retornarem às suas casas ao longo dos próximos dias reuniu os amigos e digam sobre o sucesso de vocês não falem de fracasso em fracasso provoca solidariedade entre todas as pessoas ou fracasso provoca proximidade entre as pessoas se eu disser que tem um câncer receberia braços todas as pessoas'''.lower() google1 = '''amigos são poucos e escassos ao longo da vida e esta é uma lição que eu duramente aprende nós temos centenas de conhecidos mas temos poucos amigos e eu já lancei uma vez de volta dizer que é um teste eficaz alívio para vocês aplicar em sobre amizade ao retornarem às suas casas ao longo dos próximos dias eu não os amigos e digam sobre o sucesso de você não falem de fracasso em fracasso provoca solidariedade entre todas as pessoas o fracasso provoca proximidade entre as pessoas se eu disser que tem um câncer receberei abraços todas as pessoas'''.lower() watson1 = '''amigo são poucos e escassos ao longo da vida e esta é uma lição que o dura mente aprende aos termos centenas de conhecidos mas temos poucos amigos e os balanceio uma vez e volta a dizer que é um teste e fica às infalível para vocês aplicarem sobre amizade ao retornarem a suas que reúnam os amigos digam sobre o sucesso não falem os fracassos o fracasso provoca solidariedade de todas as pessoas o fracasso provoca proximidade entre as se eu disse é que tem um câncer receberia braços todas as pessoas'''.lower() audio2 = '''Além disso você quiser usar o microfone de lapela ligado diretamente na câmera o fio desse microfone vai ter que ser bem comprido um fio bem comprido por onde tá passando o sinal fraco como de um microfone vira uma bela antena e é muito fácil pegar a interferência eletromagnética com um fio de microfone que é Longe de mais além disso quanto maior o fio maior a chance de alguém tropeçar no fio e mandar sua câmera para o chão se esses problemas não te incomoda usar o microfone ligado diretamente na câmera na verdade é uma boa alternativa e mais uma coisa essas informações não se aplicam no caso de câmeras profissionais e a câmera de microfones com conexão XLR essas conexões são praticamente a prova de interferência e se uma câmera tem entrada XLR a chance dela tem um pré-amplificador de baixo qualidade é muito pequena'''.lower() bing2 = '''além disso se você quiser usar o microfone de lapela ligado diretamente na camera ou field's microfone ptc bem cumprido um filme comprido porque onde tá passando o sinal fraco como de o microfone numa bela antenatal muito fácil pegar interferência eletromagnética um filme microfone que é longo demais além disso quanto maior o phil maiores chances de alguém tropeçou no fio de mandar sua camera pro chão seus problemas não te incomodam usar o microfone ligado diretamente na camera na verdade é uma boa tentativa ah mais uma coisa essas informações não se aplicam no caso de câmeras profissionais e câmeras microfones com conexão xlr essas conexões são praticamente a prova de interferência esse uma camera temporada salieri a chance dela ter um pré amplificador de baixa qualidade é muito pequena'''.lower() google2 = '''Além disso você quiser usar o microfone de lapela ligado diretamente na câmera o seu desse microfone vai ter que ser bem Comprido um fio bem comprido para Onde tá passando o sinal fraco como de um microfone vir uma bela antena que é muito fácil pegar a interferência eletromagnética com um fio de microfone que é Longe de mais além disso quanto maior o fio maior a chance de alguém tropeçar no fio e mandar sua câmera para o chão problemas não te incomoda usar o microfone ligado diretamente na câmera na verdade é uma boa alternativa e mais uma coisa essas informações não se aplicam no caso de câmeras profissionais e a câmera de microfones com conexão XLR essas conexões são praticamente a prova de interferência e se uma câmera tem entrada XLR a chance dela tem um pré-amplificador de baixo qualidade é muito pequeno'''.lower() watson2 = '''além disso se você quiser usar o microfone de lapela ligado diretamente na câmara o fio das microfone pertencer bem cumprido um fio bem cumprido por prós tapação num sinal fraco como de um microfone vira uma bela antena é muito fácil pegar interferência das magnética com que os microfones é longo demais além disso quanto maior o fio maiores chances de alguém tropeçar no filme e mandasse canetas chão se os problemas não se incomodam os ao microfone ligado diretamente na câmara na verdade é uma boa alternativa a e mais uma coisa essas informações não se aplicam no caso de câmeras profissionais e para câmeras microfones com conexão gisele é essas conexões são praticamente a prova de interferências existe uma câmera tem cargos aliás as chances da otan pré-amplificador de baixa qualidade é muito pequena'''.lower() summary = ''' | Empresa | Áudio 1 | Áudio 2 | |---------|---------|---------| | Bing | {:.3f} | {:.3f} | | Google | {:.3f} | {:.3f} | | Watson | {:.3f} | {:.3f} | '''.format( ratio(audio1, bing1), ratio(audio2, bing2), ratio(audio1, google1), ratio(audio2, google2), ratio(audio1, watson1), ratio(audio2, watson2)) print(summary)

152.35

850

0.786511

1,032

6,094

4.64438

0.225775

0.020655

0.023367

0.015022

0.740872

0.725642

0.698727

0.691216

0.656374

0.618193

0

0.006999

0.179357

6,094

39

851

156.25641

0.95141

0

0.32

0.91385

0.005087

0

1

0.04

false

0.12

0.04

0.12

0.04

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

6

85268c9adcf8e3b7ce2874dc264c4884245fda1b

35

py

Python

co_cn/net/__init__.py

zhujiagang/co-cn

4ea18441fa1842eb5d87a90ab8f28f3d803ef1a5

[ "BSD-2-Clause" ]

7

2018-04-18T13:27:22.000Z

2020-05-27T14:43:49.000Z

co_cn/net/__init__.py

zhujiagang/co-cn

4ea18441fa1842eb5d87a90ab8f28f3d803ef1a5

[ "BSD-2-Clause" ]

null

co_cn/net/__init__.py

zhujiagang/co-cn

4ea18441fa1842eb5d87a90ab8f28f3d803ef1a5

[ "BSD-2-Clause" ]

1

2019-02-14T08:53:24.000Z

from .co_occ import Model as CO_CN

17.5

34

0.8

8

35

3.25

0.875

0

0.171429

35

1

35

0.896552

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

51f65e66e62b166c461efa2b74952bf4217885d6

46

py

Python

lexos/io/__init__.py

scottkleinman/lexos

d362ddd05ef23b5173ce303eb7b08ff3583ac709

[ "MIT" ]

null

lexos/io/__init__.py

scottkleinman/lexos

d362ddd05ef23b5173ce303eb7b08ff3583ac709

[ "MIT" ]

null

lexos/io/__init__.py

scottkleinman/lexos

d362ddd05ef23b5173ce303eb7b08ff3583ac709

[ "MIT" ]

null

"""__init__.py.""" from .basic import Loader

11.5

25

0.673913

6

46

4.5

1

0

0.130435

46

3

26

15.333333

0.675

0.26087

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

cfe68ed15267082f11c7543cbef77bcc0d7414e3

4,818

py

Python

test/integration/replicasets/test_list_replicasets.py

RunsFor/cartridge-cli

10ffc64450ca96452b0bd17a9000071382f34118

[ "BSD-2-Clause" ]

48

2019-08-29T10:05:01.000Z

2022-01-25T16:41:59.000Z

test/integration/replicasets/test_list_replicasets.py

RunsFor/cartridge-cli

10ffc64450ca96452b0bd17a9000071382f34118

[ "BSD-2-Clause" ]

306

2019-08-30T13:41:14.000Z

2022-03-25T09:45:03.000Z

test/integration/replicasets/test_list_replicasets.py

RunsFor/cartridge-cli

10ffc64450ca96452b0bd17a9000071382f34118

[ "BSD-2-Clause" ]

20

2019-08-29T14:30:21.000Z

2022-03-18T12:11:24.000Z

import pytest from integration.replicasets.utils import set_instance_zone from utils import run_command_and_get_output, write_conf def test_default_application(cartridge_cmd, default_project_with_instances): project = default_project_with_instances.project # setup replicasets cmd = [ cartridge_cmd, 'replicasets', 'setup', '--bootstrap-vshard', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 # list replicasets cmd = [ cartridge_cmd, 'replicasets', 'list', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 assert output.strip() == """• Current replica sets: • router Role: failover-coordinator | vshard-router | app.roles.custom ★ router localhost:3301 • s-1 default | 1 Role: vshard-storage ★ s1-master localhost:3302 • s1-replica localhost:3303 • s-2 default | 1 Role: vshard-storage ★ s2-master localhost:3304 • s2-replica localhost:3305""" def test_no_joined_instances(cartridge_cmd, project_with_instances): project = project_with_instances.project # list replicasets cmd = [ cartridge_cmd, 'replicasets', 'list', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 1 assert "No instances joined to cluster found" in output def test_list(cartridge_cmd, project_with_instances): project = project_with_instances.project instances = project_with_instances.instances router = instances['router'] s1_master = instances['s1-master'] s1_replica = instances['s1-replica'] s1_replica2 = instances['s1-replica-2'] # setup replicasets rpl_cfg_path = project.get_replicasets_cfg_path() rpl_cfg = { 'router': { 'roles': ['vshard-router', 'app.roles.custom', 'failover-coordinator'], 'instances': [router.name], }, 's-1': { 'roles': ['vshard-storage'], 'instances': [s1_master.name, s1_replica.name, s1_replica2.name], 'weight': 1.234, 'vshard_group': 'hot', 'all_rw': True, }, } write_conf(rpl_cfg_path, rpl_cfg) cmd = [ cartridge_cmd, 'replicasets', 'setup', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 # get current topology cmd = [ cartridge_cmd, 'replicasets', 'list', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 assert output.strip() == """• Current replica sets: • router Role: failover-coordinator | vshard-router | app.roles.custom ★ router localhost:3301 • s-1 hot | 1.234 | ALL RW Role: vshard-storage ★ s1-master localhost:3302 • s1-replica localhost:3303 • s1-replica-2 localhost:3304""" def test_list_with_zones(cartridge_cmd, project_with_instances): project = project_with_instances.project instances = project_with_instances.instances if project.name == 'my-old-project': pytest.skip("Old cartridge doesn't support zones") router = instances['router'] s1_master = instances['s1-master'] s1_replica = instances['s1-replica'] s1_replica2 = instances['s1-replica-2'] # setup replicasets rpl_cfg_path = project.get_replicasets_cfg_path() rpl_cfg = { 'router': { 'roles': ['vshard-router', 'app.roles.custom', 'failover-coordinator'], 'instances': [router.name], }, 's-1': { 'roles': ['vshard-storage'], 'instances': [s1_master.name, s1_replica.name, s1_replica2.name], 'vshard_group': 'hot', }, } write_conf(rpl_cfg_path, rpl_cfg) cmd = [ cartridge_cmd, 'replicasets', 'setup', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 # set storages zones admin_api_url = router.get_admin_api_url() set_instance_zone(admin_api_url, router.name, "Mordor") set_instance_zone(admin_api_url, s1_master.name, "Hogwarts") set_instance_zone(admin_api_url, s1_replica.name, "Narnia") # get current topology cmd = [ cartridge_cmd, 'replicasets', 'list', ] rc, output = run_command_and_get_output(cmd, cwd=project.path) assert rc == 0 assert output.strip() == """• Current replica sets: • router Role: failover-coordinator | vshard-router | app.roles.custom ★ router localhost:3301 Mordor • s-1 hot | 1 Role: vshard-storage ★ s1-master localhost:3302 Hogwarts • s1-replica localhost:3303 Narnia • s1-replica-2 localhost:3304"""

29.378049

83

0.63242

594

4,818

4.947811

0.156566

0.042872

0.06805

0.043552

0.819667

0.763525

0.727458

0.708404

0.694454

0

0.03172

0.254047

4,818

163

84

29.558282

0.779633

0.030718

0

0.663934

0

0.341772

0

0.090164

1

0.032787

false

0

0.02459

0

0.057377

0

null

0

1

0

null

0

6

5c9282737c7d45d0c39f8985609f52d92a3a0217

4,272

py

Python

tests/integration/infra/api/devices/http_endpoints/test_index_controller/test_list_devices.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

19

2020-01-25T22:52:09.000Z

2022-03-20T13:45:10.000Z

tests/integration/infra/api/devices/http_endpoints/test_index_controller/test_list_devices.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

15

2019-10-07T18:18:40.000Z

2020-10-17T15:47:39.000Z

tests/integration/infra/api/devices/http_endpoints/test_index_controller/test_list_devices.py

mirumon/mirumon-backend

9b4d914b67dcc839ed8264f470e822dc22c98ad7

[ "MIT" ]

1

2020-01-20T14:16:29.000Z

import uuid import pytest from mirumon.domain.devices.entities import Device pytestmark = [pytest.mark.asyncio] async def test_devices_list_without_registered_devices(app, client): url = app.url_path_for("devices:list") response = await client.get(url) assert response.status_code == 200 assert response.json() == [] async def test_list_with_one_offline_device(app, client, devices_repo) -> None: device_id = uuid.uuid4() await devices_repo.create(Device(id=device_id, name="nick-laptop", properties={})) expected_device = { "id": str(device_id), "online": False, "name": "nick-laptop", } url = app.url_path_for("devices:list") response = await client.get(url) items = response.json() assert response.status_code == 200 assert [expected_device] == items async def test_list_with_two_offline_device(app, client, devices_repo) -> None: device_id = uuid.uuid4() device_id2 = uuid.uuid4() await devices_repo.create(Device(id=device_id, name="my device 1", properties={})) await devices_repo.create(Device(id=device_id2, name="my device 2", properties={})) expected_device = { "id": str(device_id), "online": False, "name": "my device 1", } expected_device2 = { "id": str(device_id2), "online": False, "name": "my device 2", } url = app.url_path_for("devices:list") response = await client.get(url) items = response.json() assert response.status_code == 200 assert [expected_device, expected_device2] == items async def test_list_with_one_online_device_and_one_offline_device( app, client, devices_repo, device_factory ) -> None: online_device_id = uuid.uuid4() offline_device_id = uuid.uuid4() await devices_repo.create( Device(id=offline_device_id, name="laptop", properties={}) ) expected_online_device = { "id": str(online_device_id), "online": True, "name": "desktop", } expected_offline_device = { "id": str(offline_device_id), "online": False, "name": "laptop", } async with device_factory( device_id=online_device_id, name=expected_online_device["name"] ): url = app.url_path_for("devices:list") response = await client.get(url) items = response.json() assert response.status_code == 200 assert [expected_offline_device, expected_online_device] == items async def test_list_with_one_online_device_only(app, client, device_factory) -> None: online_device_id = uuid.uuid4() expected_online_device = { "id": str(online_device_id), "online": True, "name": f"Device-{online_device_id}", } async with device_factory(device_id=online_device_id): url = app.url_path_for("devices:list") response = await client.get(url) items = response.json() assert response.status_code == 200 assert [expected_online_device] == items async def test_list_with_two_online_device_and_one_offline_device( app, client, devices_repo, device_factory ) -> None: online_device_id = uuid.uuid4() online_device_id2 = uuid.uuid4() offline_device_id = uuid.uuid4() await devices_repo.create( Device(id=offline_device_id, name="old pc", properties={}) ) expected_online_device = { "id": str(online_device_id), "online": True, "name": f"Device-{online_device_id}", } expected_online_device2 = { "id": str(online_device_id2), "online": True, "name": f"Device-{online_device_id2}", } expected_offline_device = { "id": str(offline_device_id), "online": False, "name": "old pc", } async with device_factory(device_id=online_device_id): async with device_factory(device_id=online_device_id2): url = app.url_path_for("devices:list") response = await client.get(url) items = response.json() assert response.status_code == 200 assert [ expected_offline_device, expected_online_device, expected_online_device2, ] == items

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0.120463

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0.045946

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0.822394

0.801931

0.774131

0.746718

0.676834

0

0.012943

0.240403

4,272

146

88

29.260274

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0.025862

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null

0

1

0

null

0

6

7a2912671dd522c4bc0cd8edc8f612b7edbc0ad0

44

py

Python

functions/villain/post/postVillain.py

jeffpignataro/hero-villan-serverless-api

5c28e03f1a8b5c4de6e72c9cf718256b34e4a2df

[ "MIT" ]

null

functions/villain/post/postVillain.py

jeffpignataro/hero-villan-serverless-api

5c28e03f1a8b5c4de6e72c9cf718256b34e4a2df

[ "MIT" ]

null

functions/villain/post/postVillain.py

jeffpignataro/hero-villan-serverless-api

5c28e03f1a8b5c4de6e72c9cf718256b34e4a2df

[ "MIT" ]

null

from models.villain.villain import villain

22

43

0.840909

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44

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0.666667

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0.113636

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44

0.948718

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true

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1

0

1

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null

0

1

0

null

0

1

0

1

0

1

0

6

7a50044d65a0e32345e057984558059246ba2672

32

py

Python

python_tests/subprocess.py

qihqi/custom_loader

aaf54c8465a48ef3162dd5cbf9ac3185c44b3e30

[ "BSD-3-Clause" ]

null

python_tests/subprocess.py

qihqi/custom_loader

aaf54c8465a48ef3162dd5cbf9ac3185c44b3e30

[ "BSD-3-Clause" ]

null

python_tests/subprocess.py

qihqi/custom_loader

aaf54c8465a48ef3162dd5cbf9ac3185c44b3e30

[ "BSD-3-Clause" ]

null

import subprocess print('done')

10.666667

17

0.78125

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null

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1

0

1

0

1

0

6

8fffe9d25be75046fdde804fd31b0cef84183863

2,365

py

Python

gen_ts_frames_from_video.py

GuilinZ/conditional-lane-detection

7a98dcc0e0e7f48773cf97e9a0d9fd05c0f0e083

[ "Apache-2.0" ]

null

gen_ts_frames_from_video.py

GuilinZ/conditional-lane-detection

7a98dcc0e0e7f48773cf97e9a0d9fd05c0f0e083

[ "Apache-2.0" ]

null

gen_ts_frames_from_video.py

GuilinZ/conditional-lane-detection

7a98dcc0e0e7f48773cf97e9a0d9fd05c0f0e083

[ "Apache-2.0" ]

null

import cv2 import numpy as np import json path = './freeway_drive.MP4' cap = cv2.VideoCapture(path) num_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) js_line = '{"lanes": [[-2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 410, 468, 483, 477, 460, 437, 412, 387, 356, 322, 288, 254, 220, 186, 152, 118, 84, 50, 16, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2], [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 546, 569, 577, 577, 574, 571, 560, 549, 538, 527, 516, 504, 493, 482, 471, 460, 448, 437, 426, 415, 404, 393, 381, 370, 359, 348, 337, 326, 314, 303, 292, 281, 270, 258, 247, 236, 225, 214, 203, 191, 180, 169, 158, 147, 136], [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 588, 641, 684, 705, 722, 740, 757, 769, 780, 792, 803, 815, 827, 838, 850, 861, 873, 885, 896, 908, 919, 931, 943, 954, 966, 977, 989, 1001, 1012, 1024, 1035, 1047, 1059, 1070, 1082, 1093, 1105, 1116, 1128, 1140, 1151, 1163, 1174, 1186, 1198], [-2, -2, -2, -2, -2, -2, -2, -2, -2, -2, 559, 676, 742, 799, 838, 877, 916, 955, 991, 1022, 1053, 1085, 1116, 1147, 1178, 1210, 1241, 1272, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2, -2]], "h_samples": [160, 170, 180, 190, 200, 210, 220, 230, 240, 250, 260, 270, 280, 290, 300, 310, 320, 330, 340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440, 450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550, 560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660, 670, 680, 690, 700, 710], ' file_line = '"raw_file": "clips/0530/1492627171538356342_0/20.jpg"}\n' fp = open('./datasets/video_frames/test_label.json','w') count = 0 for i in range(num_frames): _,frame = cap.read() if i % 100 == 0: print(i) # if i % 2 == 0: # continue if i < 600: continue if i > 1200: break # if frame is None: # count += 1 # print('None here:', i) if frame is not None: frame = frame[:720, 320:1600, :] # cv2.imwrite('./datasets/video_frames/clips/{:0>4d}.jpg'.format(i),frame) # fp.write(js_line + '"raw_file": "clips/{:0>4d}.jpg"'.format(i)+'}\n') cv2.imwrite('./datasets/video_frames/720_60fps_clips/{:0>4d}.jpg'.format(i),frame) fp.write(js_line + '"raw_file": "720_60fps_clips/{:0>4d}.jpg"'.format(i)+'}\n') print('Done')

67.571429

1,374

0.541649

437

2,365

2.87643

0.540046

0.14638

0.207637

0.260939

0.234686

0.188544

0.172633

0.145585

0

0.399678

0.211839

2,365

35

1,375

67.571429

0.274678

0.097252

0

0.043478

0.740602

0.076598

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false

0

0.130435

0

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0

1

0

1

0

1

0

null

0

6

64fbc34b75a706e1799a524bc9146853351c8aa2

39,364

py

Python

msksidekick.py

delphix/msksidekick

d8e06200ce7a5e6777bfd5286f8df63cfee39f30

[ "Apache-2.0" ]

4

2021-02-23T19:23:09.000Z

2021-08-17T12:56:00.000Z

msksidekick.py

delphix/msksidekick

d8e06200ce7a5e6777bfd5286f8df63cfee39f30

[ "Apache-2.0" ]

3

2021-03-05T21:49:47.000Z

2021-04-29T20:59:03.000Z

msksidekick.py

delphix/msksidekick

d8e06200ce7a5e6777bfd5286f8df63cfee39f30

[ "Apache-2.0" ]

1

2021-10-13T00:40:04.000Z

# Author : Ajay Thotangare # Created : 05/11/2020 # Purpose : Sidekick for masking server.It heps to # 1) Load balance masking job # 2) Sync job/env/global objects/engines # 3) Backup / Recover metadata to/from filesystem ############################################################################ # Copyright and license: # # 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. # # Copyright (c) 2020 by Delphix. All rights reserved. # # Description: # # Call this tool to run masking job,backup metadata, sync engines manually or via scheduler. # # ================================================================================ import collections import os import sys import traceback import click import mskpkg.globals as globals # import sqlite3 # import atexit from mskpkg.DxLogging import print_debug from mskpkg.banner import banner from mskpkg.masking import masking from mskpkg.virtualization import virtualization from pathlib import Path # atexit.register(print, "Program exited successfully!") VERSION = "2.0.5-rc3" # con = sqlite3.connect('msksidekick.db') # cur = con.cursor() # script_dir = os.path.dirname(os.path.realpath(__file__)) # script_dir = getattr( # sys, "_MEIPASS", os.path.dirname(os.path.abspath(__file__)) # ) # script_dir = Path(__file__).resolve().parent if getattr(sys, 'frozen', False): # If the application is run as a bundle, the PyInstaller bootloader # extends the sys module by a flag frozen=True and sets the app # path into variable _MEIPASS'. # script_dir = sys._MEIPASS script_dir = os.path.dirname(sys.executable) else: script_dir = os.path.dirname(os.path.abspath(__file__)) output_dir = "{}/output".format(script_dir) # print(script_dir) # print(output_dir) try: # print("output_dir = {}".format(output_dir)) os.chdir(os.path.dirname(os.path.realpath(__file__))) if not os.path.exists(output_dir): os.makedirs(output_dir) except Exception as e: print("Unable to create {} directory in current folder".format(output_dir)) print(str(e)) raise class Config(object): def __init__(self): self.verbose = False self.debug = False pass_config = click.make_pass_decorator(Config, ensure=True) class OrderedGroup(click.Group): def __init__(self, name=None, commands=None, **attrs): super(OrderedGroup, self).__init__(name, commands, **attrs) #: the registered subcommands by their exported names. self.commands = commands or collections.OrderedDict() def list_commands(self, ctx): return self.commands def print_banner(): bannertext = banner() mybannero = bannertext.banner_sl_box_open(text=" ") mybannera = bannertext.banner_sl_box_addline( text="Masking Sidekick - {}".format(VERSION) ) mybannerc = bannertext.banner_sl_box_close() # print(mybannero) print(" ") print(mybannera) print(mybannerc) def print_debug_banner(txtmsg): bannertext = banner() mybannero = bannertext.banner_sl_box_open(text=" ") mybannera = bannertext.banner_sl_box_addline(txtmsg) mybannerc = bannertext.banner_sl_box_close() print_debug(" ") print_debug(mybannero) print_debug(mybannera) print_debug(mybannerc) print_debug(" ") def print_exception_exit1(): message_String = "\nERROR: Exit Code:1\n" type_, value_, traceback_ = sys.exc_info() whole_message = traceback.format_exception(type_, value_, traceback_) res = [] for sub in whole_message: if "raise Exception" not in sub: sub = sub.strip() res.append(sub.replace("\n", "")) message_String = message_String + "\n".join(res[-2:]) print(message_String, file=sys.stderr) sys.exit(1) # Common Options # @click.group() @click.group(cls=OrderedGroup) @click.option("--verbose", "-v", is_flag=True) @click.option("--debug", "-d", is_flag=True) @pass_config def cli(config, verbose, debug): if verbose: config.verbose = verbose if debug: config.debug = debug # gen-dxtoolsconf @cli.command() @pass_config def version(config): """Script Version""" if config.verbose or config.debug: click.echo("Verbose mode enabled") print_banner() click.echo("Script Version : {}".format(VERSION)) # add_engine @cli.command() @click.option( "--mskengname", "-m", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--totalgb", "-t", default="", prompt="Enter total memory in GB for masking engine", help="Total memory in GB for masking engine", ) @click.option( "--systemgb", "-s", default="", prompt="Enter system memory in GB for masking engine", help="System memory in GB for masking engine", ) @click.option( "--poolname", "-p", default="Default", prompt="Enter Pool Name for Engine", help="Pool name to assign engine", ) # @click.option('--enabled','-e', default='Y', prompt='Enable Masking Engine for pooling', # type=click.Choice(['Y', 'N'], case_sensitive=True), # help='Add Engine to Pool') @pass_config # def add_engine(config, mskengname, totalgb, systemgb, mskaiagntuser, enabled): def add_engine(config, mskengname, totalgb, systemgb, poolname): """This module will add engine to pool""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") globals.arguments["--debug"] = config.debug globals.arguments["--config"] = "./dxtools.conf" mskai = masking( config, mskengname=mskengname, totalgb=totalgb, systemgb=systemgb, poolname=poolname, ) mskai.add_engine() sys.exit(0) # list_engine @cli.command() @pass_config def list_engine(config): """This module will list engine from pool""" globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") try: mskai = masking(config, noparam="noparam") mskai.list_engine() sys.exit(0) except Exception as e: print_exception_exit1() # del_engine @cli.command() @click.option( "--mskengname", "-m", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @pass_config def del_engine(config, mskengname): """This module will remove engine from pool""" globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") click.echo("mskengname = {0}".format(mskengname)) mskai = masking(config, mskengname=mskengname) mskai.del_engine() sys.exit(0) # pulljoblist @cli.command() @click.option( "--mskengname", "-m", default="all", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def pull_joblist(config, mskengname, username, password, protocol): """This module will pull joblist from engine""" globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") click.echo("mskengname = {0}".format(mskengname)) click.echo("username = {0}".format(username)) click.echo("protocol = {0}".format(protocol)) print_banner() mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, ) mskai.pull_joblist() sys.exit(0) # pull_currjoblist @cli.command() @click.option( "--jobname", "-j", default="", help="Masking Job name from Masking Engine" ) @click.option( "--envname", "-e", default="mskenv", help="Environment Name of Masking Job" ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", default="mskenv", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option("--poolname", default="Default", help="Pool name of engine") @pass_config def pull_currjoblist( config, jobname, envname, username, password, protocol, poolname ): """This module will pull current job execution list from all engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" jobname = {0}".format(jobname)) print(" envname = {0}".format(envname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) try: mskai = masking( config, jobname=jobname, envname=envname, username=username, password=password, protocol=protocol, poolname=poolname, ) mskai.pull_currjoblist() sys.exit(0) except Exception as e: print_exception_exit1() # gen-dxtoolsconf @cli.command() @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def gen_dxtools_conf(config, protocol): """This module will generate dxtools conf file for engine""" globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print_banner() mskai = masking(config, protocol=protocol) mskai.gen_dxtools_conf() sys.exit(0) # syncjob @cli.command() @click.option( "--srcmskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--srcenvname", default="", prompt="Enter Source Masking Engine env name", help="Source Masking Engine Environment name", ) @click.option( "--srcjobname", default="", prompt="Enter Source Masking Engine job name", help="Source Masking Engine Job name", ) @click.option( "--tgtmskengname", default="", prompt="Enter Target Masking Engine name", help="Target Masking Engine name", ) @click.option( "--tgtenvname", default="", prompt="Enter Target Masking Engine env name", help="Target Masking Engine Environment name", ) @click.option( "--globalobjsync", "-g", default=False, is_flag=True, prompt="Sync global Objects", help="Sync global Objects", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def sync_job( config, srcmskengname, srcenvname, srcjobname, tgtmskengname, tgtenvname, globalobjsync, username, password, protocol, ): """This module will sync particular job between 2 engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" srcmskengname = {0}".format(srcmskengname)) print(" srcenvname = {0}".format(srcenvname)) print(" srcjobname = {0}".format(srcjobname)) print(" tgtmskengname = {0}".format(tgtmskengname)) print(" globalobjsync = {0}".format(globalobjsync)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) try: mskai = masking( config, srcmskengname=srcmskengname, srcenvname=srcenvname, srcjobname=srcjobname, tgtmskengname=tgtmskengname, tgtenvname=tgtenvname, globalobjsync=globalobjsync, username=username, password=password, protocol=protocol, ) mskai.sync_job() sys.exit(0) except Exception as e: print_exception_exit1() # syncenv @cli.command() @click.option( "--srcmskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--srcenvname", default="", prompt="Enter Source Masking Engine env name", help="Source Masking Engine Environment name", ) @click.option( "--tgtmskengname", default="", prompt="Enter Target Masking Engine name", help="Target Masking Engine name", ) @click.option( "--tgtenvname", default="", prompt="Enter Target Masking Engine env name", help="Target Masking Engine Environment name", ) @click.option( "--globalobjsync", "-g", default=False, is_flag=True, prompt="Sync global Objects", help="Sync global Objects", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def sync_env( config, srcmskengname, srcenvname, tgtmskengname, tgtenvname, globalobjsync, username, password, protocol, ): """This module will sync particular env between 2 engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" srcmskengname = {0}".format(srcmskengname)) print(" srcenvname = {0}".format(srcenvname)) print(" tgtmskengname = {0}".format(tgtmskengname)) print(" tgtenvname = {0}".format(tgtenvname)) print(" globalobjsync = {0}".format(globalobjsync)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) try: mskai = masking( config, srcmskengname=srcmskengname, srcenvname=srcenvname, tgtmskengname=tgtmskengname, tgtenvname=tgtenvname, globalobjsync=globalobjsync, username=username, password=password, protocol=protocol, ) mskai.sync_env() sys.exit(0) except Exception as e: print_exception_exit1() # synceng @cli.command() @click.option( "--srcmskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--tgtmskengname", default="", prompt="Enter Target Masking Engine name", help="Target Masking Engine name", ) @click.option( "--globalobjsync", "-g", default=True, is_flag=True, prompt="Sync global Objects", help="Sync global Objects", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option( "--delextra", default=False, is_flag=True, help="Delete extra objects from target", ) @click.option( "--excludenonadmin", default="Y", type=click.Choice(["Y", "N"], case_sensitive=False), help="Exclude to sync non admin users. Supported values Y|N", ) @pass_config def sync_eng( config, srcmskengname, tgtmskengname, globalobjsync, username, password, protocol, delextra, excludenonadmin, ): """This module will complete sync 2 engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" srcmskengname = {0}".format(srcmskengname)) print(" tgtmskengname = {0}".format(tgtmskengname)) print(" globalobjsync = {0}".format(globalobjsync)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" delextra = {0}".format(delextra)) print(" excludenonadmin = {0}".format(excludenonadmin)) print(" ") globalobjsync = True try: mskai = masking( config, srcmskengname=srcmskengname, tgtmskengname=tgtmskengname, globalobjsync=globalobjsync, username=username, password=password, protocol=protocol, delextra=delextra, excludenonadmin=excludenonadmin, ) mskai.sync_eng() sys.exit(0) except Exception as e: print_exception_exit1() # sync_globalobj @cli.command() @click.option( "--srcmskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--tgtmskengname", default="", prompt="Enter Target Masking Engine name", help="Target Masking Engine name", ) @click.option( "--globalobjsync", "-g", default=False, is_flag=True, prompt="Sync global Objects", help="Sync global Objects", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def sync_globalobj( config, srcmskengname, tgtmskengname, globalobjsync, username, password, protocol, ): """This module will sync global objects between 2 engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" srcmskengname = {0}".format(srcmskengname)) print(" tgtmskengname = {0}".format(tgtmskengname)) print(" globalobjsync = {0}".format(globalobjsync)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) try: mskai = masking( config, srcmskengname=srcmskengname, tgtmskengname=tgtmskengname, globalobjsync=globalobjsync, username=username, password=password, protocol=protocol, ) mskai.sync_globalobj() sys.exit(0) except Exception as e: print_exception_exit1() # cleanup-eng @cli.command() @click.option( "--mskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option( "--includeadmin", default=False, is_flag=True, help="Include to delete admin users", ) @pass_config def cleanup_eng( config, mskengname, username, password, protocol, includeadmin ): """This module will complete cleanup engine for fresh start""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" includeadmin = {0}".format(includeadmin)) try: mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, includeadmin=includeadmin, ) mskai.cleanup_eng() sys.exit(0) except Exception as e: print_exception_exit1() # runjob @cli.command() @click.option( "--jobname", "-j", default="", prompt="Enter Masking Job Name", help="Masking Job name from Masking Engine", ) @click.option( "--envname", "-e", default="mskenv", prompt="Enter Environment Name of Masking Job", help="Environment Name of Masking Job", ) @click.option( "--run", "-r", default=False, is_flag=True, help="Execute Job. In Absence display only decision", ) @click.option( "--mock", "-m", default=False, is_flag=True, help="Mock run - just for demos", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option( "--dxtoolkit_path", default="", prompt="Enter dxtoolkit path", help="dxtoolkit full path", ) @click.option( "--poolname", "-p", default="Default", help="Pool name to assign engine" ) @pass_config def run_job( config, jobname, envname, run, mock, username, password, protocol, dxtoolkit_path, poolname, ): """This module will execute masking job on best candidate engine""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" jobname = {0}".format(jobname)) print(" envname = {0}".format(envname)) print(" run = {0}".format(run)) print(" mock = {0}".format(mock)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" dxtoolkit_path = {0}".format(dxtoolkit_path)) print(" poolname = {0}".format(poolname)) globals.arguments["--debug"] = config.debug globals.arguments["--config"] = "./dxtools.conf" globals.arguments["--all"] = True globals.arguments["--engine"] = None globals.arguments["--logdir"] = "./dx_skel.log" globals.arguments["--parallel"] = None globals.arguments["--poll"] = "10" globals.arguments["--version"] = False globals.arguments["--single_thread"] = True globals.arguments["--dxtoolkit_path"] = dxtoolkit_path try: mskai = masking( config, jobname=jobname, envname=envname, run=run, mock=mock, username=username, password=password, protocol=protocol, poolname=poolname, ) if not mock: mskai.pull_jobexeclist() chk_status = mskai.chk_job_running() # print("chk_status={}".format(chk_status)) if chk_status != 0: # print( # " Job {} on Env {} is already running on engine {}. Please retry later".format( # jobname, envname, chk_status # ) # ) # sys.exit(1) raise Exception( "ERROR: Job {} on Env {} is already running on engine {}. Please retry later".format(jobname, envname, chk_status)) except Exception as e: print_exception_exit1() try: print_debug(" ") print_debug(" ") print_debug(" ") print_debug(" ") print_debug_banner("Capture CPU usage data...") scriptdir = os.path.dirname(os.path.abspath(__file__)) outputdir = os.path.join(scriptdir, "output") print_debug("dxtoolkit_path: {}".format(dxtoolkit_path)) aive = virtualization( config, config_file_path="{}/dxtools.conf".format(scriptdir), scriptdir=scriptdir, outputdir=outputdir, protocol=protocol, dxtoolkit_path=dxtoolkit_path, ) print_debug("dxtoolkit_path: {}".format(dxtoolkit_path)) aive.gen_cpu_file() print_debug("Capture CPU usage data : done") print_debug(" ") print_debug(" ") print_debug(" ") print_debug(" ") except Exception as e: print_exception_exit1() print_debug_banner("Execute Job run module...") try: mskai = masking( config, jobname=jobname, envname=envname, run=run, mock=mock, username=username, password=password, protocol=protocol, poolname=poolname, ) mskai.run_job() except Exception as e: print_exception_exit1() sys.exit(0) # test-connectors @cli.command() @click.option( "--mskengname", default="", prompt="Enter Source Masking Engine name", help="Source Masking Engine name", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def test_connectors(config, mskengname, username, password, protocol): """This module will help to test all connectors""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) try: mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, ) mskai.test_all_connectors() except Exception as e: print_exception_exit1() sys.exit(0) # list_green_eng @cli.command() @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--mock", "-m", default=False, is_flag=True, help="Mock run - just for demos", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option( "--dxtoolkit_path", default="", prompt="Enter dxtoolkit path", help="dxtoolkit full path", ) @pass_config def list_eng_usage(config, username, password, protocol, mock, dxtoolkit_path): """This module will find green engines""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mock = {0}".format(mock)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" dxtoolkit_path = {0}".format(dxtoolkit_path)) globals.arguments["--debug"] = config.debug globals.arguments["--config"] = "{}/dxtools.conf".format(script_dir) globals.arguments["--all"] = True globals.arguments["--engine"] = None globals.arguments["--logdir"] = "{}/dx_skel.log".format(output_dir) globals.arguments["--parallel"] = None globals.arguments["--poll"] = "10" globals.arguments["--version"] = False globals.arguments["--single_thread"] = True globals.arguments["--dxtoolkit_path"] = dxtoolkit_path try: mskai = masking( config, mock=mock, username=username, password=password, protocol=protocol, ) if not mock: mskai.pull_jobexeclist() except Exception as e: print_exception_exit1() try: print_debug(" ") print_debug("Capture CPU usage data...") scriptdir = os.path.dirname(os.path.abspath(__file__)) outputdir = os.path.join(scriptdir, "output") print_debug("dxtoolkit_path: {}".format(dxtoolkit_path)) aive = virtualization( config, config_file_path="{}/dxtools.conf".format(script_dir), scriptdir=scriptdir, outputdir=outputdir, protocol=protocol, dxtoolkit_path=dxtoolkit_path, ) print_debug("dxtoolkit_path: {}".format(dxtoolkit_path)) aive.gen_cpu_file() print_debug("Capture CPU usage data : done") print_debug(" ") except Exception as e: print("Error in VE module") # sys.exit(1) # raise Exception("ERROR: Error in VE module") print_exception_exit1() try: mskai = masking( config, mock=mock, username=username, password=password, protocol=protocol, ) mskai.list_eng_usage() except Exception as e: print_exception_exit1() sys.exit(0) # offline_backup_eng @cli.command() @click.option( "--mskengname", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--backup_dir", default="", prompt="Enter Backup Path", help="Backup Path" ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def offline_backup_eng( config, mskengname, username, password, protocol, backup_dir ): """This module will offline backup engine""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" backup_dir = {0}".format(backup_dir)) try: mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, backup_dir=backup_dir, ) mskai.offline_backup_eng() sys.exit(0) except Exception as e: print_exception_exit1() sys.exit(0) # offline_restore_eng @cli.command() @click.option( "--mskengname", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--backup_dir", default="", prompt="Enter Backup Path", help="Backup Path" ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def offline_restore_eng( config, mskengname, username, password, protocol, backup_dir ): """This module will offline restore engine from backups""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" backup_dir = {0}".format(backup_dir)) try: mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, backup_dir=backup_dir, ) mskai.offline_restore_eng() except Exception as e: print_exception_exit1() sys.exit(0) # offline_restore_env @cli.command() @click.option( "--mskengname", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--backup_dir", default="", prompt="Enter Backup Path", help="Backup Path" ) @click.option( "--envname", "-e", default="mskenv", prompt="Enter name of Environment to be restored", help="Name of Environment to be restored", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking sidekick username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @pass_config def offline_restore_env( config, mskengname, envname, username, password, protocol, backup_dir ): """This module will offline restore engine from backups""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" envname = {0}".format(envname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" backup_dir = {0}".format(backup_dir)) try: mskai = masking( config, mskengname=mskengname, envname=envname, username=username, password=password, protocol=protocol, backup_dir=backup_dir, ) mskai.offline_restore_env() except Exception as e: print_exception_exit1() sys.exit(0) # duplicate_connectors @cli.command() @click.option( "--mskengname", default="", prompt="Enter Masking Engine name", help="Masking Engine name", ) @click.option( "--username", "-u", prompt="Enter Masking username", help="Masking mskaiagnt username to connect masking engines", ) @click.password_option( "--password", "-p", help="Masking mskaiagnt password to connect masking engines", ) @click.option( "--protocol", default="https", help="Enter protocol http|https to access Masking Engines", ) @click.option( "--action", type=click.Choice(['list', 'resolve']), default="list", help="List Connector | Rename conflicting connector names ( All conflicting connector names will be renamed )", ) @pass_config def duplicate_connectors( config, mskengname, username, password, protocol, action ): """This module will offline backup engine""" print_banner() globals.initialize(config.debug, config.verbose, script_dir) if config.verbose or config.debug: click.echo("Verbose mode enabled") print(" mskengname = {0}".format(mskengname)) print(" username = {0}".format(username)) print(" protocol = {0}".format(protocol)) print(" action = {0}".format(action)) print(" ") try: mskai = masking( config, mskengname=mskengname, username=username, password=password, protocol=protocol, action=action, ) mskai.duplicate_connectors() sys.exit(0) except Exception as e: print_exception_exit1() sys.exit(0) if __name__ == "__main__": cli()

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119

0.59684

4,071

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5.677475

0.09408

0.038074

0.025008

0.027863

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0.705447

0.685761

0.681564

0

0.005202

0.277284

39,364

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0.807234

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0.255894

0

1

0.022071

false

0.078947

0.009338

0.000849

0.033956

0.117148

0

null

0

1

0

1

0

1

0

null

0

1

0

6

8f444b8fb7f3fbcb198108c584a5bfbfc257030d

98

py

Python

src/internals/errors/invalid_transition_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

src/internals/errors/invalid_transition_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

src/internals/errors/invalid_transition_error.py

mabel-dev/salmon

90866d16b08925206d1f8d9b3c8290fcd35f5322

[ "MIT" ]

null

from .base_exception import BaseException class InvalidTransitionError(BaseException): pass

16.333333

44

0.826531

9

98

8.888889

0.888889

0

0.132653

98

5

45

19.6

0.941176

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

56bfef75d9729bec14e64b1cdd8d2232c8793f8e

82

py

Python

dashboard/__init__.py

mueller-stephan/car-classification

6b620091e071535ea112a6e19c1d15de21dadbd1

[ "MIT" ]

2

2020-03-21T19:26:39.000Z

2021-06-14T18:45:10.000Z

dashboard/__init__.py

fabianmax/car-classification

2c32a57b0404c2da6c341a6f496c9912fbd19b50

[ "MIT" ]

null

dashboard/__init__.py

fabianmax/car-classification

2c32a57b0404c2da6c341a6f496c9912fbd19b50

[ "MIT" ]

5

2020-02-26T13:35:23.000Z

2022-03-11T20:05:34.000Z

from .app import app, game_data, server __all__ = ['app', 'game_data', 'server']

20.5

40

0.682927

12

82

4.166667

0.583333

0.28

0.44

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0

0.146341

82

3

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false

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0.5

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null

1

0

1

0

null

0

1

0

6

56eff7be9ed41b8822eeeedde9c72911867ef3c8

70,941

py

Python

game/optimize_dirty_rects.py

mouton5000/DiscreteEventApplicationEditor

4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33

[ "MIT" ]

null

game/optimize_dirty_rects.py

mouton5000/DiscreteEventApplicationEditor

4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33

[ "MIT" ]

null

game/optimize_dirty_rects.py

mouton5000/DiscreteEventApplicationEditor

4a4272fd9b0a7f3f228fee1e9e7b351e4a21cd33

[ "MIT" ]

null

# coding: ascii # optimize_dirty_rects """Optimize a list of dirty rects so that there are no overlapping rects File version: 1.1 Minimum Python version: 2.4 Inspirations: "It turns out, that there are quite many combinations... To represent all cases we use a table." Detect Overlapping Subrectangles by Herbert Glarner http://gandraxa.com/detect_overlapping_subrectangles.xml A way to process rectangle collisions is to categorize them based on edge inclusion. "Use wide, shallow graphic elements in preference to tall, narrow ones. (There are more raster lines, and therefore more pointer arithmetic, in tall graphics.)" Fast Blit Strategies: A Mac Programmer's Guide by Kas Thomas http://www.mactech.com/articles/mactech/Vol.15/15.06/FastBlitStrategies/index.html The optimized rectangles will tend to be wide and shallow. Return: new list The MIT License (MIT) Copyright (c) 2013 Jason Marshall Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from pygame import Rect from bisect import bisect_left, insort from collections import deque #####import os import sys PYTHON_VERSION = sys.version_info[0] #####DEBUG = int(os.environ.get('DEBUG', '1')) #####if DEBUG: ##### debug_output = sys.stderr.write ##### debug = lambda x: debug_output(x + '\n') #####else: ##### debug = lambda x: None try: Inf = float('inf') except ValueError: #####debug('using fallback infinity') import decimal Inf = decimal.Decimal('Infinity') negInf = -Inf def optimize_dirty_rects(dirty_rects): """remove overlapping areas from a list of dirty rectangles""" #####debug("INPUT: " + str(dirty_rects)) # Put good rects in a queue queue = deque() append_to_queue = queue.append for r in dirty_rects: if r: r.normalize() append_to_queue(r) # If there aren't multiple rectangles in the input queue, then more # optimization is not possible. if len(queue) <= 1: #####debug('shortcut 0\n') return list(queue) # Get the first rect append_to_queue = queue.appendleft pop_from_queue = queue.popleft r = pop_from_queue() # Determine the maximum possible size of all the rects combined extent_of_all_r = r.unionall(queue) # If any input rectangle covers the maximum possible size of all the rects # combined, then that rectangle is optimal. if r == extent_of_all_r: #####debug('shortcut 1\n') return [r] for r2 in queue: if r2 == extent_of_all_r: #####debug('shortcut 2\n') return [r2] # Create lists that will always be sorted by left edge position, # right edge position, top edge position and bottom edge position. # Rects are referenced by unique IDs for compatibility with set. # These unique IDs are mapped to rects by r_dict. r_id = id(r) r_dict = {r_id: r} edges_l = [(r.left, r_id)] edges_r = [(r.right, r_id)] edges_t = [(r.top, r_id)] edges_b = [(r.bottom, r_id)] while queue: r = pop_from_queue() r_id = id(r) ### Use bisect_left and set to get potential collisions ### # Get rect IDs with left edges <= r's right edge collisions = set(_get_rects_left_of_right_edge_inclusive(r, edges_l)) collisions_update = collisions.intersection_update # Get rect IDs with right edges >= r's left edge collisions_update(_get_rects_right_of_left_edge_inclusive(r, edges_r)) # Get rect IDs with top edges < rect's bottom edge collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) # Get rect IDs with bottom edges > rect's top edge collisions_update(_get_rects_below_top_edge_exclusive(r, edges_b)) # Handle collisions with existing optimized rects while collisions: r2_id = collisions.pop() r2 = r_dict[r2_id] if r.top == r2.top: if r.bottom == r2.bottom: if r.left == r2.left: if r.right <= r2.right: #####debug('p001|p002') # 1: RBTLRBTL: r is not outside of r2; forget r # ..... ..... # .+++. .---. # .+++. -> .---. # .+++. .---. # ..... ..... # 2: RBTL-BTL: # ..... ..... # .++-. .---. # .++-. -> .---. # .++-. .---. # ..... ..... break else: #r.right > r2.right #####debug('p003') # 3: -BTLRBTL: r2 is not outside of r; delete r2 # ..... ..... # .++|. .|||. # .++|. -> .|||. # .++|. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) #r.top == r2.top: #r.bottom == r2.bottom: elif r.left < r2.left: if r.right >= r2.right: #####debug('p004|p005') # 4: RBT-RBTL: r2 is not outside of r; delete r2 # ..... ..... # .|++. .|||. # .|++. -> .|||. # .|++. .|||. # ..... ..... # 5: -BT-RBTL: # ..... ..... # .|+|. .|||. # .|+|. -> .|||. # .|+|. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: #r.right < r2.right: #####debug('p006|p007') # 6: RBT--BTL: expand r to encompass r2; delete r2 # ..... ..... # .|+-. .|||. # .|+-. -> .|||. # .|+-. .|||. # ..... ..... # 7: -BT--BT-a: # ..... ..... # .|--. .|||. # .|--. -> .|||. # .|--. .|||. # ..... ..... r.union_ip(r2) if r == extent_of_all_r: #####debug('shortcut 2a\n') return [r] _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) #r.top == r2.top: #r.bottom == r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p008|p009') # 8: RBTLRBT-: r is not outside of r2; forget r # ..... ..... # .-++. .---. # .-++. -> .---. # .-++. .---. # ..... ..... # 9: RBTL-BT-: # ..... ..... # .-+-. .---. # .-+-. -> .---. # .-+-. .---. # ..... ..... break else: #r.right > r2.right #####debug('p010|p011') # 10: -BTLRBT-: expand r to encompass r2; delete r2 # ..... ..... # .-+|. .|||. # .-+|. -> .|||. # .-+|. .|||. # ..... ..... # 11: -BT--BT-b: # ..... ..... # .--|. .|||. # .--|. -> .|||. # .--|. .|||. # ..... ..... r.union_ip(r2) if r == extent_of_all_r: #####debug('shortcut 2b\n') return [r] _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) #r.top == r2.top: elif r.bottom < r2.bottom: if r.left == r2.left: if r.right <= r2.right: #####debug('p012|p013') # 12: RBTLR-TL: r is not outside of r2; forget r # ..... ..... # .+++. .---. # .---. -> .---. # .---. .---. # ..... ..... # 13: RBTL--TL: # ..... ..... # .++-. .---. # .++-. -> .---. # .---. .---. # ..... ..... break else: #r.right > r2.right #####debug('p014') # 14: -BTLR-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .+||. .|||. # .-... -> .-... # .-... .-... # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r.height r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) #r.top == r2.top: #r.bottom < r2.bottom: elif r.left < r2.left: if r.right >= r2.right: #####debug('p015|p018') # 15: RBT-R-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .|++. .|||. # .|++. -> .|||. # ..--. ..--. # ..... ..... # 18: -BT-R-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .|+|. .|||. # .|+|. -> .|||. # ..-.. ..-.. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r.height r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) else: #r.right < r2.right #####debug('p016|p017') # 16: RBT---TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # Expand r to reach r2's right edge. # ..... ..... # .|+-. .|||. # .|+-. -> .|||. # ..--. ..--. # ..... ..... # 17: -BT---T-a: # ..... ..... # .|--. .|||. # .|--. -> .|||. # ..--. ..--. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r.height r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) r.width = r2.right - r.left #r.top == r2.top: #r.bottom < r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p019|p020') # 19: RBTLR-T-: r is not outside of r2; forget r # ..... ..... # .-++. .---. # .-++. -> .---. # .---. .---. # ..... ..... # 20: RBTL--T-: # ..... ..... # .-+-. .---. # .-+-. -> .---. # .---. .---. # ..... ..... break else: #r.right > r2.right #####debug('p021|p022') # 21: -BTLR-T-: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # Expand r to reach r2's left edge. # ..... ..... # .-+|. .|||. # .-+|. -> .|||. # .--.. .--.. # ..... ..... # 22: -BT---T-b: # ..... ..... # .--|. .|||. # .--|. -> .|||. # .--.. .--.. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r.height r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) r.width = r.right - r2.left r.left = r2.left #r.top == r2.top: else: #r.bottom > r2.bottom if r.left == r2.left: if r.right >= r2.right: #####debug('p023|p025') # 23: R-TLRBTL: r2 is not outside of r; delete r2 # ..... ..... # .+++. .|||. # .+++. -> .|||. # .|||. .|||. # ..... ..... # 25: --TLRBTL: # ..... ..... # .++|. .|||. # .++|. -> .|||. # .|||. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: #r.right < r2.right: #####debug('p024') # 24: R-TL-BTL: crop r to the part that is below r2 # ..... ..... # .++-. .---. # .++-. -> .---. # .||.. .||.. # ..... ..... r.height -= r2.height r.top = r2.bottom #r.top == r2.top: #r.bottom > r2.bottom elif r.left < r2.left: if r.right >= r2.right: #####debug('p026|p029') # 26: R-T-RBTL: r2 is not outside of r; delete r2 # ..... ..... # .|++. .|||. # .|++. .|||. # .|||. .|||. # ..... ..... # 29: --T-RBTL: # ..... ..... # .|+|. .|||. # .|+|. .|||. # .|||. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: #r.right < r2.right #####debug('p027|p028') # 27: R-T--BTL: # Split r into r & r3 at the bottom of r2. # Expand r to encompass r2; delete r2. # Enqueue the on-bottom parts. Remove r_id # numbers from the collisions set if their # rects collide with only r3 or are beside # only r3. # ..... ..... # .|+-. .|||. # .|+-. -> .|||. # .||.. .==.. # ..... ..... # 28: --T--BT-b: # ..... ..... # .||-. .|||. # .||-. -> .|||. # .||.. .==.. # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.height - r2.height) append_to_queue(r3) r.height = r2.height r.union_ip(r2) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) #r.top == r2.top: #r.bottom > r2.bottom else: #r.left > r2.left if r.right <= r2.right: #####debug('p030|p031') # 30: R-TLRBT-: crop r to the part that is below r2 # ..... ..... # .-++. .---. # .-++. -> .---. # ..||. ..||. # ..... ..... # 31: R-TL-BT-: # ..... ..... # .-+-. .---. # .-+-. -> .---. # ..|.. ..|.. # ..... ..... r.height -= r2.height r.top = r2.bottom else: #r.right > r2.right #####debug('p032|p033') # 32: --TLRBT- # Split r into r & r3 at the bottom of r2. # Expand r to encompass r2; delete r2. # Enqueue the on-bottom parts. Remove r_id # numbers from the collisions set if their # rects collide with only r3 or are beside # only r3. # ..... ..... # .-+|. .|||. # .-+|. -> .|||. # ..||. ..==. # ..... ..... # 33: --T--BT-a: # ..... ..... # .-||. .|||. # .-||. -> .|||. # ..||. ..==. # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.height - r2.height) append_to_queue(r3) r.height = r2.height r.union_ip(r2) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) elif r.top < r2.top: if r.bottom == r2.bottom: if r.left == r2.left: if r.right >= r2.right: #####debug('p034|p036') # 34: RB-LRBTL: r2 is not outside of r; delete r2 # ..... ..... # .|||. .|||. # .+++. -> .|||. # .+++. .|||. # ..... ..... # 36: -B-LRBTL: # ..... ..... # .|||. .|||. # .++|. -> .|||. # .++|. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: # r.right < r2.right: #####debug('p035') # 35: RB-L-BTL: crop r to the part that is above r2 # ..... ..... # .||.. .||.. # .++-. -> .---. # .++-. .---. # ..... ..... r.height -= r2.height #r.top < r2.top: #r.bottom == r2.bottom: elif r.left < r2.left: if r.right >= r2.right: #####debug('p037|p040') # 37: RB--RBTL: r2 is not outside of r; delete r2 # ..... ..... # .|||. .|||. # .|++. -> .|||. # .|++. .|||. # ..... ..... # 40: -B--RBTL: # ..... ..... # .|||. .|||. # .|+|. -> .|||. # .|+|. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: # r.right < r2.right: #####debug('p038|p039') # 38: RB---BTL: # Split r into r & r3 at the top of r2. # Expand r to encompass r2; delete r2. # Enqueue the on-top parts. Remove r_id # numbers from the collisions set if their # rects collide with only r3 or are beside # only r3. # ..... ..... # .||.. .==.. # .|+-. -> .|||. # .|+-. .|||. # ..... ..... # 39: -B---BT-b: # ..... ..... # .||.. .==.. # .||-. -> .|||. # .||-. .|||. # ..... ..... r3 = Rect(r.left, r.top, r.width, r.height - r2.height) append_to_queue(r3) r.height = r2.height r.top = r2.top r.union_ip(r2) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) collisions_update(_get_rects_below_top_edge_exclusive(r, edges_b)) #r.top < r2.top: #r.bottom == r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p041|p042') # 41: RB-LRBT-: crop r to the part that is above r2 # ..... ..... # ..||. ..||. # .-++. -> .---. # .-++. .---. # ..... ..... # 42: RB-L-BT-: # ..... ..... # ..|.. ..|.. # .-+-. -> .---. # .-+-. .---. # ..... ..... r.height -= r2.height else: #r.right > r2.right #####debug('p043|p044') # 43: -B-LRBT-: # Split r into r & r3 at the top of r2. # Expand r to encompass r2; delete r2. # Enqueue the on-top parts. Remove r_id # numbers from the collisions set if their # rects collide with only r3 or are beside # only r3. # ..... ..... # ..||. ..==. # .-+|. -> .|||. # .-+|. .|||. # ..... ..... # 44: -B---BT-a: # ..... ..... # ..||. ..==. # .-||. -> .|||. # .-||. .|||. # ..... ..... r3 = Rect(r.left, r.top, r.width, r.height - r2.height) append_to_queue(r3) r.height = r2.height r.top = r2.top r.union_ip(r2) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) collisions_update(_get_rects_below_top_edge_exclusive(r, edges_b)) #r.top < r2.top: elif r.bottom < r2.bottom: if r.left == r2.left: if r.right == r2.right: #####debug('p045') # 45: RB-LR-TL: expand r to encompass r2; delete r2 # ..... ..... # .|||. .|||. # .+++. -> .|||. # .---. .|||. # ..... ..... r.union_ip(r2) if r == extent_of_all_r: #####debug('shortcut 2b\n') return [r] _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) elif r.right < r2.right: #####debug('p046') # 46: RB-L--TL: crop r to the part that is above r2 # ..... ..... # .||.. .||.. # .++-. -> .---. # .---. .---. # ..... ..... r.height = r2.top - r.top else: #r.right > r2.right #####debug('p047') # 47: -B-LR-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .|||. .|||. # .++|. -> .|||. # .--.. .--.. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height = r2.bottom - r.bottom r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) #r.top < r2.top: #r.bottom < r2.bottom: elif r.left < r2.left: if r.right == r2.right: #####debug('p048') # 48: RB--R-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .|||. .|||. # .|++. -> .|||. # ..--. ..--. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height = r2.bottom - r.bottom r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) elif r.right < r2.right: #####debug('p049|p050') # 49: RB----TL: # Create r3 to cover the area of r that is in # line with r2 and the area of r2 that is in # line with r. Enqueue r3. Crop r to the part # that is above r3. Crop r2 to the part that # is below r3. Remove r_id numbers from the # collisions set if their rects no longer either # collide with r or are beside r. Update r2's # position in edges_t. # ..... ..... # .||.. .||.. # .|+-. -> .===. # ..--. ..--. # ..... ..... # 50: -B----T-a: # ..... ..... # .||.. .||.. # .||-. -> .===. # ...-. ...-. # ..... ..... r3 = Rect(r.left, r2.top, r2.right - r.left, r.bottom - r2.top) append_to_queue(r3) r.height -= r3.height _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r3.height r2.top = r3.bottom collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) insort(edges_t, (r2.top, r2_id)) else: #r.right > r2.right #####debug('p051') # 51: -B--R-TL: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # .|||. .|||. # .|+|. -> .|||. # ..-.. ..-.. # ..... ..... _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height = r2.bottom - r.bottom r2.top = r.bottom insort(edges_t, (r2.top, r2_id)) #r.top < r2.top: #r.bottom < r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p052|p053') # 52: RB-LR-T-: crop r to the part that is above r2 # ..... ..... # ..||. ..||. # .-++. -> .---. # .---. .---. # ..... ..... # 52: RB-L--T-: # ..... ..... # ..|.. ..|.. # .-+-. -> .---. # .---. .---. # ..... ..... r.height = r2.top - r.top else: #r.right > r2.right #####debug('p054|p055') # 54: -B-LR-T-: # Create r3 to cover the area of r that is in # line with r2 and the area of r2 that is in # line with r. Enqueue r3. Crop r to the part # that is above r3. Crop r2 to the part that # is below r3. Remove r_id numbers from the # collisions set if their rects no longer either # collide with r or are beside r. Update r2's # position in edges_t. # ..... ..... # ..||. ..||. # .-+|. -> .===. # .--.. .--.. # ..... ..... # 55: -B----T-b: # ..... ..... # ..||. ..||. # .-||. -> .===. # .-... .-... # ..... ..... r3 = Rect(r2.left, r2.top, r.right - r2.left, r.bottom - r2.top) append_to_queue(r3) r.height -= r3.height _remove_r_from_edges_t(r2, r2_id, edges_t) r2.height -= r3.height r2.top = r3.bottom collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) insort(edges_t, (r2.top, r2_id)) #r.top < r2.top: else: #r.bottom > r2.bottom if r.left == r2.left: if r.right >= r2.right: #####debug('p056|p058') # 56: R--LRBTL: r2 is not outside of r; delete r2 # ..... ..... # .|||. .|||. # .+++. -> .|||. # .|||. .|||. # ..... ..... # 58: ---LRBTL: # ..... ..... # .|||. .|||. # .++|. -> .|||. # .|||. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: #r.right < r2.right: #####debug('p057') # 57: R--L-BTL: # Separate r into on-top & on-bottom parts. # Lose the middle; it is not outside of r2. # Enqueue the on-bottom parts. Remove r_id # numbers from the collisions set if their # rects no longer either collide with r1 or # are beside r1. # ..... ..... # .||.. .||.. # .++-. -> .---. # .||.. .==.. # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.bottom - r2.bottom) append_to_queue(r3) r.height = r2.top - r.top collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) #r.top < r2.top: #r.bottom > r2.bottom elif r.left < r2.left: if r.right >= r2.right: #####debug('p059|p061') # 59: R---RBTL: r2 is not outside of r; delete r2 # ..... ..... # .|||. .|||. # .|++. -> .|||. # .|||. .|||. # ..... ..... # 61: ----RBTL: # ..... ..... # .|||. .|||. # .|+|. -> .|||. # .|||. .|||. # ..... ..... _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) else: #r.right < r2.right: #####debug('p060|p066') # 60: R----BTL: # Separate r into on-top & on-bottom parts. # Lose the middle. Extend r2 and return it # to the queue. Enqueue the on-bottom parts. # Remove r_id numbers from the collisions # set if their rects no longer either # collide with r1 or are beside r1. # ..... ..... # .||.. .||.. # .|+-. -> .---. # .||.. .==.. # ..... ..... # 66: -----BT-b: # ..... ..... # .|... .|... # .|--. -> .---. # .|... .=... # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.bottom - r2.bottom) append_to_queue(r3) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) r2.width = r2.right - r.left r2.left = r.left append_to_queue(r2) r.height = r2.top - r.top collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) #r.top < r2.top: #r.bottom > r2.bottom else: #r.left > r2.left if r.right <= r2.right: #####debug('p062|p063') # 62: R--LRBT-: # Separate r into on-top & on-bottom parts. # Lose the middle; it is not outside of r2. # Enqueue the on-bottom parts. Remove r_id # numbers from the collisions set if their # rects no longer either collide with r1 or # are beside r1. # ..... ..... # ..||. ..||. # .-++. -> .---. # ..||. ..==. # ..... ..... # 63: R--L-BT-: # ..... ..... # ..|.. ..|.. # .-+-. -> .---. # ..|.. ..=.. # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.bottom - r2.bottom) append_to_queue(r3) r.height = r2.top - r.top collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) else: #r.right > r2.right #####debug('p064|p065') # 64: ---LRBT- # Separate r into on-top & on-bottom parts. # Lose the middle. Extend r2 and return it # to the queue. Enqueue the on-bottom parts. # Remove r_id numbers from the collisions # set if their rects no longer either # collide with r1 or are beside r1. # ..... ..... # ..||. ..||. # .-+|. -> .---. # ..||. ..==. # ..... ..... # 65: -----BT-a: # ..... ..... # ...|. ...|. # .--|. -> .---. # ...|. ...=. # ..... ..... r3 = Rect(r.left, r2.bottom, r.width, r.bottom - r2.bottom) append_to_queue(r3) _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) r2.width = r.right - r2.left append_to_queue(r2) r.height = r2.top - r.top collisions_update(_get_rects_above_bottom_edge_exclusive(r, edges_t)) else: #r.top > r2.top if r.bottom == r2.bottom: if r.left == r2.left: if r.right <= r2.right: #####debug('p067|p068') # 67: RBTLRB-L: r is not outside of r2; forget r # ..... ..... # .---. .---. # .+++. -> .---. # .+++. .---. # ..... ..... # 68: RBTL-B-L: # ..... ..... # .---. .---. # .++-. -> .---. # .++-. .---. # ..... ..... break else: #r.right > r2.right #####debug('p069') # 69: -BTLRB-L: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # ..... ..... # .-... .-... # .-... -> .-... # .+||. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r.height insort(edges_b, (r2.bottom, r2_id)) #r.top > r2.top #r.bottom == r2.bottom: elif r.left < r2.left: if r.right >= r2.right: #####debug('p070|p073') # 70: RBT-RB-L: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # ..... ..... # ...-. ...-. # ...-. -> ...-. # .||+. .|||. # ..... ..... # 73: -BT-RB-L: # ..... ..... # ..-.. ..-.. # ..-.. -> ..-.. # .|+|. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r.height insort(edges_b, (r2.bottom, r2_id)) else: #r.right < r2.right: #####debug('p071|p072') # 71: RBT--B-L: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # Expand r to reach r2's right edge. # ..... ..... # ..--. ..--. # .|+-. -> .|||. # .|+-. .|||. # ..... ..... # 72: -BT--B--a: # ..... ..... # ..--. ..--. # .|--. -> .|||. # .|--. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r.height insort(edges_b, (r2.bottom, r2_id)) r.width = r2.right - r.left #r.top > r2.top #r.bottom == r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p074|p075') # 74: RBTLRB--: r is not outside of r2; forget r # ..... ..... # .---. .---. # .-++. -> .---. # .-++. .---. # ..... ..... # 75: RBTL-B--: # ..... ..... # .---. .---. # .-+-. -> .---. # .-+-. .---. # ..... ..... break else: #r.right > r2.right #####debug('p076|p077') # 76: -BTLRB--: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # Expand r to reach r2's left edge. # ..... ..... # .--.. .--.. # .-+|. -> .|||. # .-+|. .|||. # ..... ..... # 77: -BT--B--b: # ..... ..... # .--.. .--.. # .--|. -> .|||. # .--|. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r.height insort(edges_b, (r2.bottom, r2_id)) r.width = r.right - r2.left r.left = r2.left #r.top > r2.top elif r.bottom < r2.bottom: if r.left == r2.left: if r.right <= r2.right: #####debug('p078|p079') # 78: RBTLR--L: r is not outside of r2; forget r # ..... ..... # .---. .---. # .+++. -> .---. # .---. .---. # ..... ..... # 79: RBTL---L: # ..... ..... # .---. .---. # .+--. -> .---. # .---. .---. # ..... ..... break else: #r.right > r2.right #####debug('p080') # 80: -BTLR--L: # Separate r2 into on-top & on-bottom parts. # Lose the middle. Put r3 in edges lists. # Update r2's location in edges_b. # ..... ..... # .-... .-... # .+||. -> .|||. # .-... .=... # ..... ..... r3 = Rect(r.left, r.bottom, r2.width, r2.bottom - r.bottom) _remove_r_from_edges_b(r2, r2_id, edges_b) _add_r(r3, id(r3), r_dict, edges_l, edges_r, edges_t, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) #r.top > r2.top #r.bottom < r2.bottom: elif r.left < r2.left: if r.right >= r2.right: #####debug('p081|p084') # 81: RBT-R--L: # Separate r2 into on-top & on-bottom parts. # Lose the middle. Put r3 in edges lists. # Update r2's location in edges_b. # ..... ..... # ...-. ...-. # .||+. -> .|||. # ...-. ...=. # ..... ..... # 84: -BT-R--L: # ..... ..... # ..-.. ..-.. # .|+|. -> .|||. # ..-.. ..=.. # ..... ..... r3 = Rect(r2.left, r.bottom, r2.width, r2.bottom - r.bottom) _remove_r_from_edges_b(r2, r2_id, edges_b) _add_r(r3, id(r3), r_dict, edges_l, edges_r, edges_t, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) else: #r.right < r2.right: #####debug('p082|p083') # 82: RBT----L: # Separate r2 into on-top & on-bottom parts. # Lose the middle. Put r3 in edges lists. # Update r2's location in edges_b. Extend r # to cover what was the middle of r2. # ..... ..... # ..--. ..--. # .|+-. -> .|||. # ..--. ..==. # ..... ..... # 83: -BT-----a: # ..... ..... # ..--. ..--. # .|--. -> .|||. # ..--. ..==. # ..... ..... r3 = Rect(r2.left, r.bottom, r2.width, r2.bottom - r.bottom) _remove_r_from_edges_b(r2, r2_id, edges_b) _add_r(r3, id(r3), r_dict, edges_l, edges_r, edges_t, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) r.width = r2.right - r.left #r.top > r2.top #r.bottom < r2.bottom: else: #r.left > r2.left if r.right <= r2.right: #####debug('p085|p086') # 85: RBTLR---: r is not outside of r2; forget r # ..... ..... # .---. .---. # .-++. -> .---. # .---. .---. # ..... ..... # 86: RBTL----: # ..... ..... # .---. .---. # .-+-. -> .---. # .---. .---. # ..... ..... break else: #r.right > r2.right #####debug('p087|p088') # 87: -BTLR---: # Separate r2 into on-top & on-bottom parts. # Lose the middle. Put r3 in edges lists. # Update r2's location in edges_b. Extend r # to cover what was the middle of r2. # ..... ..... # .--.. .--.. # .-+|. -> .|||. # .--.. .==.. # ..... ..... # 88: -BT-----b: # ..... ..... # .--. .--.. # .--| -> .|||. # .--. .==.. # ..... ..... r3 = Rect(r2.left, r.bottom, r2.width, r2.bottom - r.bottom) _remove_r_from_edges_b(r2, r2_id, edges_b) _add_r(r3, id(r3), r_dict, edges_l, edges_r, edges_t, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) r.width = r.right - r2.left r.left = r2.left #r.top > r2.top else: #r.bottom > r2.bottom if r.left == r2.left: if r.right == r2.right: #####debug('p089') # 89: R-TLRB-L: expand r to encompass r2; delete r2 # ..... ..... # .---. .|||. # .+++. -> .|||. # .|||. .|||. # ..... ..... r.union_ip(r2) if r == extent_of_all_r: #####debug('shortcut 2b\n') return [r] _del_r(r2, r2_id, r_dict, edges_l, edges_r, edges_t, edges_b) elif r.right < r2.right: #####debug('p090') # 90: R-TL-B-L: crop r to the part that is below r2 # ..... ..... # .---. .---. # .++-. -> .---. # .||.. .||.. # ..... ..... r.height = r.bottom - r2.bottom r.top = r2.bottom else: #r.right > r2.right #####debug('p091') # 91: --TLRB-L: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # ..... ..... # .--.. .--.. # .++|. -> .|||. # .|||. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) #r.top > r2.top #r.bottom > r2.bottom elif r.left < r2.left: if r.right == r2.right: #####debug('p092') # 92: R-T-RB-L: # Crop r2 to the part that is below r. # Update r2's location in edges_t. # ..... ..... # ..--. ..--. # .|++. -> .|||. # .|||. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) elif r.right < r2.right: #####debug('p093|p094') # 93: R-T--B-L: # Create r3 to cover the area of r that is in # line with r2 and the area of r2 that is in # line with r. Enqueue r3. Crop r to the part # that is above r3. Crop r2 to the part that # is below r3. Remove r_id numbers from the # collisions set if their rects no longer either # collide with r or are beside r. Update r2's # position in edges_b. # ..... ..... # ..--. ..--. # .|+-. -> .===. # .||.. .||.. # ..... ..... # 94: --T--B--b: # ..... ..... # ...-. ...-. # .||-. -> .===. # .||.. .||.. # ..... ..... r3 = Rect(r.left, r.top, r2.right - r.left, r2.bottom - r.top) append_to_queue(r3) r.height -= r3.height r.top = r3.bottom _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r3.height collisions_update(_get_rects_below_top_edge_exclusive(r, edges_b)) insort(edges_b, (r2.bottom, r2_id)) else: #r.right > r2.right #####debug('p095') # 95: --T-RB-L: # Crop r2 to the part that is above r. # Update r2's location in edges_b. # ..... ..... # ..-.. ..-.. # .|+|. -> .|||. # .|||. .|||. # ..... ..... _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height = r.top - r2.top insort(edges_b, (r2.bottom, r2_id)) #r.top > r2.top #r.bottom > r2.bottom else: #r.left > r2.left if r.right <= r2.right: #####debug('p096|p097') # 96: R-TLRB--: crop r to the part that is below r2 # ..... ..... # .---. .---. # .-++. -> .---. # . ||. ..||. # ..... ..... # 97: R-TL-B--: crop r to the part that is below r2 # ..... ..... # .---. .---. # .-+-. -> .---. # . |.. ..|.. # ..... ..... r.height = r.bottom - r2.bottom r.top = r2.bottom else: #r.right > r2.right #####debug('p098|p099') # 99: R-T--B-L: # Create r3 to cover the area of r that is in # line with r2 and the area of r2 that is in # line with r. Enqueue r3. Crop r to the part # that is above r3. Crop r2 to the part that # is below r3. Remove r_id numbers from the # collisions set if their rects no longer either # collide with r or are beside r. Update r2's # position in edges_b. # ..... ..... # .--.. .--. # .-+|. -> .===. # ..||. ..||. # ..... ..... # 98: --T--B--b: # ..... ..... # .-... .-... # .-||. -> .===. # ..||. ..||. # ..... ..... r3 = Rect(r2.left, r.top, r.right - r2.left, r2.bottom - r.top) append_to_queue(r3) r.height -= r3.height r.top = r3.bottom _remove_r_from_edges_b(r2, r2_id, edges_b) r2.height -= r3.height collisions_update(_get_rects_below_top_edge_exclusive(r, edges_b)) insort(edges_b, (r2.bottom, r2_id)) # No r2 rectangles either collided with r or were beside r, so # add r to r_dict and the edge position lists. else: # If r is as wide as extent_of_all_r, then try to expand r's # height to the height of extent_of_all_r. If r is both as # wide and as tall as extent_of_all_r, then no further # optimization is possible; return r. if r.width == extent_of_all_r.width: # If there is a rect as wide as extent_of_all_r that is # directly above r, then r2 will refer to it. r2, r2_id = _get_full_width_r_above(r, extent_of_all_r, r_dict, edges_b) # If there is a rect as wide as extent_of_all_r that is # directly below r, then r3 will refer to it. r3, r3_id = _get_full_width_r_below(r, extent_of_all_r, r_dict, edges_t) if r2 and r3: # Expand r2 to encompass r and r3; delete r3; forget r # ---------- # |||||||||| # ========== #####debug('shortcut 3') _remove_r_from_edges_b(r2, r2_id, edges_b) r2.union_ip(r3) if r2 == extent_of_all_r: #####debug('shortcut 3a\n') return [r2] insort(edges_b, (r2.bottom, r2_id)) _del_r(r3, r3_id, r_dict, edges_l, edges_r, edges_t, edges_b) continue elif r2: # Expand r2 to encompass r; forget r # ---------- # |||||||||| #####debug('shortcut 4') _remove_r_from_edges_b(r2, r2_id, edges_b) r2.union_ip(r) if r2 == extent_of_all_r: #####debug('shortcut 4a\n') return [r2] insort(edges_b, (r2.bottom, r2_id)) continue elif r3: # Expand r3 to encompass r; forget r # |||||||||| # ========== #####debug('shortcut 5') _remove_r_from_edges_t(r3, r3_id, edges_t) r3.union_ip(r) if r3 == extent_of_all_r: #####debug('shortcut 5a\n') return [r3] insort(edges_t, (r3.top, r3_id)) continue # Add r to r_dict and edges lists _add_r(r, r_id, r_dict, edges_l, edges_r, edges_t, edges_b) # Done optimizing! if PYTHON_VERSION >= 3: return_list = list(r_dict.values()) else: return_list = r_dict.values() #####debug('OUTPUT: ' + str(return_list) + '\n') return return_list def _get_rects_left_of_right_edge_inclusive(r, edges_l): """helper for optimize_dirty_rects func""" index_l = bisect_left(edges_l, (r.right, Inf)) return (t[1] for t in edges_l[:index_l]) def _get_rects_right_of_left_edge_inclusive(r, edges_r): """helper for optimize_dirty_rects func""" index_r = bisect_left(edges_r, (r.left, negInf)) return (t[1] for t in edges_r[index_r:]) def _get_rects_above_bottom_edge_exclusive(r, edges_t): """helper for optimize_dirty_rects func""" index_t = bisect_left(edges_t, (r.bottom, negInf)) return (t[1] for t in edges_t[:index_t]) def _get_rects_below_top_edge_exclusive(r, edges_b): """helper for optimize_dirty_rects func""" index_b = bisect_left(edges_b, (r.top, Inf)) return (t[1] for t in edges_b[index_b:]) def _get_full_width_r_above(r, extent_of_all_r, r_dict, edges_b): """helper for optimize_dirty_rects func""" if r.top != extent_of_all_r.top: index_b = bisect_left(edges_b, (r.top, negInf)) if index_b < len(edges_b): r2_id = edges_b[index_b][1] r2 = r_dict[r2_id] if r2.bottom == r.top and r2.width == extent_of_all_r.width: return r2, r2_id return None, None def _get_full_width_r_below(r, extent_of_all_r, r_dict, edges_t): """helper for optimize_dirty_rects func""" if r.bottom != extent_of_all_r.bottom: index_t = bisect_left(edges_t, (r.bottom, negInf)) if index_t < len(edges_t): r2_id = edges_t[index_t][1] r2 = r_dict[r2_id] if r2.top == r.bottom and r2.width == extent_of_all_r.width: return r2, r2_id return None, None def _add_r(r, r_id, r_dict, edges_l, edges_r, edges_t, edges_b): """helper for optimize_dirty_rects func""" r_dict[r_id] = r insort(edges_l, (r.left, r_id)) insort(edges_r, (r.right, r_id)) insort(edges_t, (r.top, r_id)) insort(edges_b, (r.bottom, r_id)) def _del_r(r, r_id, r_dict, edges_l, edges_r, edges_t, edges_b): """helper for optimize_dirty_rects func""" del r_dict[r_id] _remove_r_from_edges_l(r, r_id, edges_l) _remove_r_from_edges_r(r, r_id, edges_r) _remove_r_from_edges_t(r, r_id, edges_t) _remove_r_from_edges_b(r, r_id, edges_b) def _remove_r_from_edges_l(r, r_id, edges_l): """helper for optimize_dirty_rects func""" index_l = bisect_left(edges_l, (r.left, r_id)) assert edges_l[index_l] == (r.left, r_id), 'algorithm err: left del' del edges_l[index_l] def _remove_r_from_edges_r(r, r_id, edges_r): """helper for optimize_dirty_rects func""" index_r = bisect_left(edges_r, (r.right, r_id)) assert edges_r[index_r] == (r.right, r_id), 'algorithm err: right del' del edges_r[index_r] def _remove_r_from_edges_t(r, r_id, edges_t): """helper for optimize_dirty_rects func""" index_t = bisect_left(edges_t, (r.top, r_id)) assert edges_t[index_t] == (r.top, r_id), 'algorithm err: top del' del edges_t[index_t] def _remove_r_from_edges_b(r, r_id, edges_b): """helper for optimize_dirty_rects func""" index_b = bisect_left(edges_b, (r.bottom, r_id)) assert edges_b[index_b] == (r.bottom, r_id), 'algorithm err: bottom del' del edges_b[index_b]

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sample/ajax/node_modules/_xd-synchttp@0.4.1@xd-synchttp/src/binding.gyp

WoJoinGitHub/t4node

957c7b5ea2cd8328c3c86f3f9cd2643c2ab33563

[ "Apache-2.0" ]

null

{ "targets": [ { "target_name":"binding", "sources":["png.c","jpeg.c","gif.c","imagesize.c","binding.c"], 'dependencies':['./binding.gyp:libhttp','./binding.gyp:libpng','./binding.gyp:libjpeg'], }, { "target_name":"libhttp", "type":'static_library', "sources":["http.c"] }, { "target_name": "libjpeg", "type": "static_library", 'include_dirs': [ './third-party/jpeg/' ], 'direct_dependent_settings': { 'include_dirs': [ './third-party/jpeg/' ] }, "sources": ["./third-party/jpeg/jaricom.c", "./third-party/jpeg/jcapimin.c", "./third-party/jpeg/jcapistd.c", "./third-party/jpeg/jcarith.c", "./third-party/jpeg/jccoefct.c", "./third-party/jpeg/jccolor.c", "./third-party/jpeg/jcdctmgr.c", "./third-party/jpeg/jchuff.c", "./third-party/jpeg/jcinit.c", "./third-party/jpeg/jcmainct.c", "./third-party/jpeg/jcmarker.c", "./third-party/jpeg/jcmaster.c", "./third-party/jpeg/jcomapi.c", "./third-party/jpeg/jcparam.c", "./third-party/jpeg/jcprepct.c", "./third-party/jpeg/jcsample.c", "./third-party/jpeg/jctrans.c", "./third-party/jpeg/jdapimin.c", "./third-party/jpeg/jdapistd.c", "./third-party/jpeg/jdarith.c", "./third-party/jpeg/jdatadst.c", "./third-party/jpeg/jdatasrc.c", "./third-party/jpeg/jdcoefct.c", "./third-party/jpeg/jdcolor.c", "./third-party/jpeg/jddctmgr.c", "./third-party/jpeg/jdhuff.c", "./third-party/jpeg/jdinput.c", "./third-party/jpeg/jdmainct.c", "./third-party/jpeg/jdmarker.c", "./third-party/jpeg/jdmaster.c", "./third-party/jpeg/jdmerge.c", "./third-party/jpeg/jdpostct.c", "./third-party/jpeg/jdsample.c", "./third-party/jpeg/jdtrans.c", "./third-party/jpeg/jerror.c", "./third-party/jpeg/jfdctflt.c", "./third-party/jpeg/jfdctfst.c", "./third-party/jpeg/jfdctint.c", "./third-party/jpeg/jidctflt.c", "./third-party/jpeg/jidctfst.c", "./third-party/jpeg/jidctint.c", "./third-party/jpeg/jquant1.c", "./third-party/jpeg/jquant2.c", "./third-party/jpeg/jutils.c", "./third-party/jpeg/jmemmgr.c", "./third-party/jpeg/jmemnobs.c" ] }, { 'target_name': 'libpng', 'type': 'static_library', 'include_dirs': [ './third-party/libpng', ], 'direct_dependent_settings': { 'include_dirs': ['./third-party/libpng'], }, 'dependencies': ['./binding.gyp:zlib'], 'libraries': ['-lm'], 'sources': [ "./third-party/libpng/pngerror.c", "./third-party/libpng/pngget.c", "./third-party/libpng/pngmem.c", "./third-party/libpng/pngpread.c", "./third-party/libpng/pngread.c", "./third-party/libpng/pngrio.c", "./third-party/libpng/pngrtran.c", "./third-party/libpng/pngrutil.c", "./third-party/libpng/pngset.c", "./third-party/libpng/pngtrans.c", "./third-party/libpng/pngwio.c", "./third-party/libpng/pngwrite.c", "./third-party/libpng/pngwtran.c", "./third-party/libpng/pngwutil.c", "./third-party/libpng/png.c" ] }, { 'target_name': 'zlib', 'type': 'static_library', 'include_dirs': [ './third-party/zlib/' ], 'direct_dependent_settings': { 'include_dirs': [ './third-party/zlib/' ] }, 'sources': ["./third-party/zlib/adler32.c", "./third-party/zlib/crc32.c", "./third-party/zlib/deflate.c", "./third-party/zlib/infback.c", "./third-party/zlib/inffast.c", "./third-party/zlib/inflate.c", "./third-party/zlib/inftrees.c", "./third-party/zlib/trees.c", "./third-party/zlib/zutil.c", "./third-party/zlib/compress.c", "./third-party/zlib/uncompr.c", "./third-party/zlib/gzclose.c", "./third-party/zlib/gzlib.c", "./third-party/zlib/gzread.c", "./third-party/zlib/gzwrite.c" ] }, ], 'conditions': [ ['OS=="linux"', { }] ] }

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py

Python

Sentiment_Adjectives/lm_finetune/bert_ima_finetune.py

tilmanbeck/CausaLM

0533a5dfa6107f996ddf84d736d0169d3cbdffc4

[ "MIT" ]

35

2020-06-14T13:15:37.000Z

2022-03-28T10:41:39.000Z

Sentiment_Adjectives/lm_finetune/bert_ima_finetune.py

tilmanbeck/CausaLM

0533a5dfa6107f996ddf84d736d0169d3cbdffc4

[ "MIT" ]

1

2022-01-05T02:51:25.000Z

Sentiment_Adjectives/lm_finetune/bert_ima_finetune.py

tilmanbeck/CausaLM

0533a5dfa6107f996ddf84d736d0169d3cbdffc4

[ "MIT" ]

10

2020-07-20T08:05:10.000Z

2022-02-09T01:26:00.000Z

from transformers.modeling_bert import BertLMPredictionHead, BertPreTrainedModel, BertModel from BERT.lm_finetune.grad_reverse_layer import GradReverseLayerFunction from BERT.bert_text_dataset import BertTextDataset from BERT.bert_pos_tagger import BertTokenClassificationDataset from torch.nn import CrossEntropyLoss import torch.nn as nn import torch class BertIMAPredictionHead(nn.Module): def __init__(self, config): super(BertIMAPredictionHead, self).__init__() # self.transform = BertPredictionHeadTransform(config) self.decoder = nn.Linear(config.hidden_size, 2) # p = float(i + epoch * len_dataloader) / n_epoch / len_dataloader # self.alpha = 2. / (1. + np.exp(-10 * p)) - 1 self.alpha = 1. def forward(self, hidden_states): # hidden_states = self.transform(hidden_states) reversed_hidden_states = GradReverseLayerFunction.apply(hidden_states, self.alpha) output = self.decoder(reversed_hidden_states) return output class BertIMAPreTrainingHeads(nn.Module): def __init__(self, config): super(BertIMAPreTrainingHeads, self).__init__() self.predictions = BertLMPredictionHead(config) self.adj_predictions = BertIMAPredictionHead(config) def forward(self, sequence_output, pooled_output): lm_prediction_scores = self.predictions(sequence_output) adj_prediction_scores = self.adj_predictions(sequence_output) return lm_prediction_scores, adj_prediction_scores class BertForIMAPreTraining(BertPreTrainedModel): r""" **masked_lm_labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``: Labels for computing the masked language modeling loss. Indices should be in ``[-1, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-1`` are ignored (masked), the loss is only computed for the tokens with labels in ``[0, ..., config.vocab_size]`` **masked_adj_labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``: Labels for computing the masked adjective prediction (classification) loss. Indices should be in ``[0, 1]``. ``0`` indicates masked word is not adjective, ``1`` indicates masked word is adjective. Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **loss**: (`optional`, returned when both ``masked_lm_labels`` and ``next_sentence_label`` are provided) ``torch.FloatTensor`` of shape ``(1,)``: Total loss as the sum of the masked language modeling loss and the next sequence prediction (classification) loss. **lm_prediction_scores**: ``torch.FloatTensor`` of shape ``(batch_size, sequence_length, config.vocab_size)`` Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax). **adj_relationship_scores**: ``torch.FloatTensor`` of shape ``(batch_size, sequence_length, 2)`` Prediction scores of the masked adjective predictions (classification) head (scores of True/False before SoftMax). **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``torch.FloatTensor`` (one for the output of each layer + the output of the embeddings) of shape ``(batch_size, sequence_length, hidden_size)``: Hidden-states of the model at the output of each layer plus the initial embedding outputs. **attentions**: (`optional`, returned when ``config.output_attentions=True``) list of ``torch.FloatTensor`` (one for each layer) of shape ``(batch_size, num_heads, sequence_length, sequence_length)``: Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads. Examples:: tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') model = BertForPreTraining.from_pretrained('bert-base-uncased') input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute")).unsqueeze(0) # Batch size 1 outputs = model(input_ids) prediction_scores, seq_relationship_scores = outputs[:2] """ def __init__(self, config): super(BertForIMAPreTraining, self).__init__(config) self.bert = BertModel(config) self.cls = BertIMAPreTrainingHeads(config) self.init_weights() self.tie_weights() def tie_weights(self): """ Make sure we are sharing the input and output embeddings. Export to TorchScript can't handle parameter sharing so we are cloning them instead. """ self._tie_or_clone_weights(self.cls.predictions.decoder, self.bert.embeddings.word_embeddings) def forward(self, input_ids, attention_mask=None, token_type_ids=None, position_ids=None, head_mask=None, masked_lm_labels=None, masked_adj_labels=None, pos_tagging_labels=None): outputs = self.bert(input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids, position_ids=position_ids, head_mask=head_mask) sequence_output, pooled_output = outputs[:2] lm_prediction_scores, adj_prediction_scores = self.cls(sequence_output, pooled_output) outputs = (lm_prediction_scores, adj_prediction_scores,) + outputs[2:] # add hidden states and attention if they are here if masked_lm_labels is not None and masked_adj_labels is not None: loss_f = CrossEntropyLoss(ignore_index=BertTextDataset.MLM_IGNORE_LABEL_IDX) masked_lm_loss = loss_f(lm_prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1)) masked_adj_loss = loss_f(adj_prediction_scores.view(-1, 2), masked_adj_labels.view(-1)) total_loss = masked_lm_loss + masked_adj_loss loss_f_per_sample = CrossEntropyLoss(ignore_index=BertTextDataset.MLM_IGNORE_LABEL_IDX, reduction='none') mlm_loss_per_sample = self.calc_loss_per_sample(loss_f_per_sample, lm_prediction_scores, masked_lm_labels, self.config.vocab_size) ima_loss_per_sample = self.calc_loss_per_sample(loss_f_per_sample, adj_prediction_scores, masked_adj_labels, 2) outputs = (mlm_loss_per_sample, ima_loss_per_sample,) + outputs outputs = (total_loss,) + outputs return outputs # (loss), prediction_scores, seq_relationship_score, (hidden_states), (attentions) @staticmethod def calc_loss_per_sample(loss_f, scores, masked_labels, label_size, ignore_index=BertTextDataset.MLM_IGNORE_LABEL_IDX): return torch.stack([loss_f(scores.view(-1, label_size), masked_labels.view(-1)) .view_as(masked_labels)[i, :].masked_select(masked_labels[i, :] > ignore_index).mean() for i in range(masked_labels.size(0))]) class BertTokenClassificationHead(nn.Module): def __init__(self, config): super(BertTokenClassificationHead, self).__init__() self.classifier = nn.Linear(config.hidden_size, config.num_labels) def forward(self, hidden_states): output = self.classifier(hidden_states) return output class BertIMAwControlPreTrainingHeads(nn.Module): def __init__(self, config): super(BertIMAwControlPreTrainingHeads, self).__init__() self.predictions = BertLMPredictionHead(config) self.adj_predictions = BertIMAPredictionHead(config) self.pos_tagging = BertTokenClassificationHead(config) def forward(self, sequence_output, pooled_output): lm_prediction_scores = self.predictions(sequence_output) adj_prediction_scores = self.adj_predictions(sequence_output) pos_tagging_scores = self.pos_tagging(sequence_output) return lm_prediction_scores, adj_prediction_scores, pos_tagging_scores class BertForIMAwControlPreTraining(BertPreTrainedModel): r""" **masked_lm_labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``: Labels for computing the masked language modeling loss. Indices should be in ``[-1, 0, ..., config.vocab_size]`` (see ``input_ids`` docstring) Tokens with indices set to ``-1`` are ignored (masked), the loss is only computed for the tokens with labels in ``[0, ..., config.vocab_size]`` **masked_adj_labels**: (`optional`) ``torch.LongTensor`` of shape ``(batch_size, sequence_length)``: Labels for computing the masked adjective prediction (classification) loss. Indices should be in ``[0, 1]``. ``0`` indicates masked word is not adjective, ``1`` indicates masked word is adjective. Outputs: `Tuple` comprising various elements depending on the configuration (config) and inputs: **loss**: (`optional`, returned when both ``masked_lm_labels`` and ``next_sentence_label`` are provided) ``torch.FloatTensor`` of shape ``(1,)``: Total loss as the sum of the masked language modeling loss and the next sequence prediction (classification) loss. **lm_prediction_scores**: ``torch.FloatTensor`` of shape ``(batch_size, sequence_length, config.vocab_size)`` Prediction scores of the language modeling head (scores for each vocabulary token before SoftMax). **adj_relationship_scores**: ``torch.FloatTensor`` of shape ``(batch_size, sequence_length, 2)`` Prediction scores of the masked adjective predictions (classification) head (scores of True/False before SoftMax). **hidden_states**: (`optional`, returned when ``config.output_hidden_states=True``) list of ``torch.FloatTensor`` (one for the output of each layer + the output of the embeddings) of shape ``(batch_size, sequence_length, hidden_size)``: Hidden-states of the model at the output of each layer plus the initial embedding outputs. **attentions**: (`optional`, returned when ``config.output_attentions=True``) list of ``torch.FloatTensor`` (one for each layer) of shape ``(batch_size, num_heads, sequence_length, sequence_length)``: Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads. Examples:: tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') model = BertForPreTraining.from_pretrained('bert-base-uncased') input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute")).unsqueeze(0) # Batch size 1 outputs = model(input_ids) prediction_scores, seq_relationship_scores = outputs[:2] """ def __init__(self, config): super(BertForIMAwControlPreTraining, self).__init__(config) self.bert = BertModel(config) self.cls = BertIMAwControlPreTrainingHeads(config) self.init_weights() self.tie_weights() def tie_weights(self): """ Make sure we are sharing the input and output embeddings. Export to TorchScript can't handle parameter sharing so we are cloning them instead. """ self._tie_or_clone_weights(self.cls.predictions.decoder, self.bert.embeddings.word_embeddings) def forward(self, input_ids, attention_mask=None, token_type_ids=None, position_ids=None, head_mask=None, masked_lm_labels=None, masked_adj_labels=None, pos_tagging_labels=None): outputs = self.bert(input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids, position_ids=position_ids, head_mask=head_mask) sequence_output, pooled_output = outputs[:2] lm_prediction_scores, adj_prediction_scores, pos_tagging_scores = self.cls(sequence_output, pooled_output) outputs = (lm_prediction_scores, adj_prediction_scores, pos_tagging_scores,) + outputs[2:] # add hidden states and attention if they are here total_loss = 0.0 if pos_tagging_labels is not None: loss_f = CrossEntropyLoss(ignore_index=BertTokenClassificationDataset.POS_IGNORE_LABEL_IDX) loss_f_per_sample = CrossEntropyLoss(ignore_index=BertTokenClassificationDataset.POS_IGNORE_LABEL_IDX, reduction='none') # Only keep active parts of the loss if attention_mask is not None: active_loss = attention_mask.view(-1) == 1 active_logits = pos_tagging_scores.view(-1, self.config.num_labels) active_labels = torch.where( active_loss, pos_tagging_labels.view(-1), torch.tensor(loss_f.ignore_index).type_as(pos_tagging_labels) ) pos_tagging_loss = loss_f(active_logits, active_labels) # pos_tagging_loss_per_sample = BertForIMAPreTraining.calc_loss_per_sample(loss_f_per_sample, # active_logits, # active_labels, # self.config.num_labels) else: pos_tagging_loss = loss_f(pos_tagging_scores.view(-1, self.config.num_labels), pos_tagging_labels.view(-1)) pos_tagging_loss_per_sample = BertForIMAPreTraining.calc_loss_per_sample(loss_f_per_sample, pos_tagging_scores, pos_tagging_labels, self.config.num_labels, BertTokenClassificationDataset.POS_IGNORE_LABEL_IDX) total_loss += pos_tagging_loss outputs = (pos_tagging_loss_per_sample,) + outputs if masked_lm_labels is not None and masked_adj_labels is not None: loss_f = CrossEntropyLoss(ignore_index=BertTextDataset.MLM_IGNORE_LABEL_IDX) masked_lm_loss = loss_f(lm_prediction_scores.view(-1, self.config.vocab_size), masked_lm_labels.view(-1)) masked_adj_loss = loss_f(adj_prediction_scores.view(-1, 2), masked_adj_labels.view(-1)) total_loss += masked_lm_loss + masked_adj_loss loss_f_per_sample = CrossEntropyLoss(ignore_index=BertTextDataset.MLM_IGNORE_LABEL_IDX, reduction='none') mlm_loss_per_sample = BertForIMAPreTraining.calc_loss_per_sample(loss_f_per_sample, lm_prediction_scores, masked_lm_labels, self.config.vocab_size) ima_loss_per_sample = BertForIMAPreTraining.calc_loss_per_sample(loss_f_per_sample, adj_prediction_scores, masked_adj_labels, 2) outputs = (mlm_loss_per_sample, ima_loss_per_sample,) + outputs outputs = (total_loss,) + outputs return outputs # (loss), prediction_scores, seq_relationship_score, (hidden_states), (attentions)

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null

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6

855dabac66e871e20f403b6761df07a3be15c02a

71

py

Python

mstc/learning/__init__.py

PhosphorylatedRabbits/mass_spec_trans_coding

820103c6026b69486e0c89e487d4e90af84e87dc

[ "MIT" ]

1

2021-09-06T08:35:14.000Z

mstc/learning/__init__.py

PhosphorylatedRabbits/mass_spec_trans_coding

820103c6026b69486e0c89e487d4e90af84e87dc

[ "MIT" ]

null

mstc/learning/__init__.py

PhosphorylatedRabbits/mass_spec_trans_coding

820103c6026b69486e0c89e487d4e90af84e87dc

[ "MIT" ]

null

from .pipeline import generate_cross_validation_pipeline # noqa: F401

35.5

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6

a4517666c3848750ddc429b8dce94a83167f9c57

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py

Python

crawler/test_code/test_get_ip_address.py

Coslate/NBA_Win_Predictor

c8f4fb5a12fdd36bd43e573510bfb2307f37ec1f

[ "MIT" ]

null

crawler/test_code/test_get_ip_address.py

Coslate/NBA_Win_Predictor

c8f4fb5a12fdd36bd43e573510bfb2307f37ec1f

[ "MIT" ]

null

crawler/test_code/test_get_ip_address.py

Coslate/NBA_Win_Predictor

c8f4fb5a12fdd36bd43e573510bfb2307f37ec1f

[ "MIT" ]

null

#! /usr/bin/env python3.6 import package_tool_surf.tool_surf as tool_surf print(f'ip_address = {tool_surf.GetPublicIPAddress()}')

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6

a471f15b413ec164b3d71a60d3c51d10c2d63a42

2,548

py

Python

epytope/Data/pssms/smmpmbec/mat/A_30_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

7

2021-02-01T18:11:28.000Z

2022-01-31T19:14:07.000Z

epytope/Data/pssms/smmpmbec/mat/A_30_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

22

2021-01-02T15:25:23.000Z

2022-03-14T11:32:53.000Z

epytope/Data/pssms/smmpmbec/mat/A_30_01_10.py

christopher-mohr/epytope

8ac9fe52c0b263bdb03235a5a6dffcb72012a4fd

[ "BSD-3-Clause" ]

4

2021-05-28T08:50:38.000Z

2022-03-14T11:45:32.000Z

A_30_01_10 = {0: {'A': -0.226, 'C': 0.176, 'E': -0.07, 'D': 0.236, 'G': -0.022, 'F': 0.205, 'I': -0.423, 'H': -0.175, 'K': -0.699, 'M': -0.184, 'L': 0.1, 'N': 0.02, 'Q': -0.071, 'P': 0.372, 'S': 0.088, 'R': -0.425, 'T': 0.333, 'W': 0.31, 'V': 0.12, 'Y': 0.334}, 1: {'A': 0.222, 'C': 0.03, 'E': 0.206, 'D': 0.049, 'G': -0.054, 'F': -0.234, 'I': -0.006, 'H': -0.242, 'K': -0.256, 'M': -0.056, 'L': 0.054, 'N': -0.092, 'Q': 0.393, 'P': 0.757, 'S': -0.461, 'R': 0.14, 'T': -0.163, 'W': -0.146, 'V': -0.166, 'Y': 0.024}, 2: {'A': -0.017, 'C': 0.028, 'E': 0.384, 'D': 0.262, 'G': 0.27, 'F': -0.122, 'I': -0.031, 'H': -0.563, 'K': -0.238, 'M': 0.252, 'L': -0.031, 'N': -0.39, 'Q': 0.003, 'P': 0.722, 'S': -0.202, 'R': -0.13, 'T': -0.085, 'W': 0.296, 'V': -0.146, 'Y': -0.262}, 3: {'A': -0.023, 'C': 0.041, 'E': 0.105, 'D': 0.101, 'G': 0.016, 'F': 0.06, 'I': 0.021, 'H': -0.115, 'K': -0.209, 'M': -0.001, 'L': 0.0, 'N': 0.063, 'Q': 0.034, 'P': 0.035, 'S': -0.027, 'R': -0.2, 'T': 0.009, 'W': 0.052, 'V': 0.019, 'Y': 0.018}, 4: {'A': -0.471, 'C': -0.102, 'E': 0.256, 'D': 0.14, 'G': 0.122, 'F': -0.277, 'I': 0.09, 'H': -0.175, 'K': -0.065, 'M': 0.018, 'L': -0.151, 'N': 0.079, 'Q': 0.351, 'P': 0.517, 'S': -0.152, 'R': 0.006, 'T': -0.099, 'W': 0.114, 'V': -0.096, 'Y': -0.105}, 5: {'A': -0.007, 'C': 0.007, 'E': 0.041, 'D': 0.06, 'G': 0.013, 'F': -0.01, 'I': -0.005, 'H': -0.024, 'K': -0.018, 'M': -0.024, 'L': -0.042, 'N': 0.008, 'Q': 0.001, 'P': 0.049, 'S': -0.008, 'R': -0.018, 'T': -0.015, 'W': 0.01, 'V': -0.013, 'Y': -0.006}, 6: {'A': 0.024, 'C': 0.138, 'E': 0.054, 'D': -0.168, 'G': 0.28, 'F': -0.353, 'I': 0.265, 'H': -0.031, 'K': -0.178, 'M': -0.21, 'L': -0.064, 'N': 0.171, 'Q': 0.353, 'P': 0.09, 'S': 0.242, 'R': -0.431, 'T': -0.093, 'W': -0.09, 'V': 0.029, 'Y': -0.028}, 7: {'A': 0.262, 'C': 0.108, 'E': 0.131, 'D': 0.123, 'G': 0.074, 'F': -0.166, 'I': -0.157, 'H': 0.102, 'K': -0.166, 'M': 0.015, 'L': 0.07, 'N': -0.1, 'Q': 0.102, 'P': -0.207, 'S': -0.039, 'R': -0.048, 'T': 0.027, 'W': -0.07, 'V': 0.091, 'Y': -0.151}, 8: {'A': -0.033, 'C': -0.012, 'E': 0.04, 'D': 0.028, 'G': -0.015, 'F': -0.025, 'I': -0.258, 'H': 0.232, 'K': 0.245, 'M': -0.104, 'L': -0.175, 'N': 0.064, 'Q': 0.056, 'P': -0.264, 'S': 0.003, 'R': 0.37, 'T': 0.001, 'W': 0.023, 'V': -0.217, 'Y': 0.04}, 9: {'A': -0.411, 'C': 0.032, 'E': 0.268, 'D': 0.275, 'G': -0.141, 'F': -0.083, 'I': -0.159, 'H': 0.013, 'K': -0.502, 'M': -0.007, 'L': -0.137, 'N': 0.19, 'Q': 0.313, 'P': 0.183, 'S': -0.063, 'R': -0.118, 'T': 0.07, 'W': 0.337, 'V': -0.151, 'Y': 0.09}, -1: {'con': 3.96982}}

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null

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1

0

1

0

null

0

6

a476fa3f4a2dab1ad63200eb80ffebbaa8bf3b30

36

py

Python

rentomatic/domain/__init__.py

skhalymon/rentomatic

87a59c9a16df6b86dbd3508170b000fba1661e14

[ "MIT" ]

null

rentomatic/domain/__init__.py

skhalymon/rentomatic

87a59c9a16df6b86dbd3508170b000fba1661e14

[ "MIT" ]

null

rentomatic/domain/__init__.py

skhalymon/rentomatic

87a59c9a16df6b86dbd3508170b000fba1661e14

[ "MIT" ]

null

from .storageroom import StorageRoom

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0

6

a49aa1819c8a4512630914c19964fce993e4f4c2

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py

Python

basset/tests/test_converter.py

team-supercharge/basset-ios

8336eb2df0d03fe184c7fd14843c8facd471607d

[ "MIT" ]

null

basset/tests/test_converter.py

team-supercharge/basset-ios

8336eb2df0d03fe184c7fd14843c8facd471607d

[ "MIT" ]

null

basset/tests/test_converter.py

team-supercharge/basset-ios

8336eb2df0d03fe184c7fd14843c8facd471607d

[ "MIT" ]

null

import shutil import tempfile from unittest import TestCase from wand.image import Image from basset.exceptions import * from basset.helpers.converter import Converter class TestConverter(TestCase): temp_dir_path = "" converter_tests_resource_path = "converter" converter_output_tests_resource_path = "converterOutput" script_root_dir_path = "" @classmethod def setUpClass(cls): TestConverter.script_root_dir_path = os.getcwd() @classmethod def tearDownClass(cls): os.chdir(TestConverter.script_root_dir_path) def setUp(self): self.temp_dir_path = tempfile.mkdtemp() os.mkdir(os.path.join(self.temp_dir_path, self.converter_output_tests_resource_path)) shutil.copytree(os.path.join(TestConverter.script_root_dir_path, "basset/tests/Resources/tests_converter"), os.path.join(self.temp_dir_path, self.converter_tests_resource_path)) os.chdir(self.temp_dir_path) def tearDown(self): shutil.rmtree(self.temp_dir_path) def test_set_up(self): def assert_valid_eps_file(test_file_path): self.assertTrue(os.path.isfile(test_file_path)) self.assertEqual(Image(filename=test_file_path).size, (100, 100)) self.assertEqual(Image(filename=test_file_path).format, "EPT") for i in range(1, 3): assert_valid_eps_file( os.path.join(self.converter_tests_resource_path, "convert_test", "test-0" + str(i) + ".eps")) assert_valid_eps_file( os.path.join(self.converter_tests_resource_path, "convert_test", "subfolder", "test-04.eps")) assert_valid_eps_file( os.path.join(self.converter_tests_resource_path, "convert_test", "subfolder", "subsubfolder", "test-05.eps")) def assert_valid_png_file(self, test_file_path, size): self.assertTrue(os.path.isfile(test_file_path)) self.assertEqual(Image(filename=test_file_path).size, size) self.assertEqual(Image(filename=test_file_path).format, "PNG") def test_convert(self): converter = Converter() converter.input_dir = os.path.join(self.converter_tests_resource_path, "convert_test") converter.output_dir = self.converter_output_tests_resource_path converter.convert() for i in range(1, 3): test_file_path_1x = os.path.join(self.converter_output_tests_resource_path, "test-0" + str(i) + ".png") test_file_path_2x = os.path.join(self.converter_output_tests_resource_path, "test-0" + str(i) + "@2x.png") test_file_path_3x = os.path.join(self.converter_output_tests_resource_path, "test-0" + str(i) + "@3x.png") self.assert_valid_png_file(test_file_path=test_file_path_1x, size=(100, 100)) self.assert_valid_png_file(test_file_path=test_file_path_2x, size=(200, 200)) self.assert_valid_png_file(test_file_path=test_file_path_3x, size=(300, 300)) self.assert_valid_png_file(os.path.join(self.converter_output_tests_resource_path, "subfolder", "test-04.png"), (100, 100)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", "test-04@2x.png"), (200, 200)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", "test-04@3x.png"), (300, 300)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", "subsubfolder", "test-05.png"), (100, 100)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", "subsubfolder", "test-05@2x.png"), (200, 200)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", "subsubfolder", "test-05@3x.png"), (300, 300)) def test_should_raise_exception_with_assets_dir_not_present(self): converter = Converter() os.chdir(os.path.join(self.converter_tests_resource_path, "suggest_asset_diretory_test")) converter.input_dir = "FaceAssetsDir" converter.output_dir = self.converter_output_tests_resource_path try: converter.convert() self.fail("This should fail") except AssetsDirNotFoundException as e: self.assertEqual(e.asset_dir_candidate, "Vector_assets") def test_should_raise_exception_with_empty_parameter_if_no_vector_files_found(self): converter = Converter() os.chdir(os.path.join(self.converter_tests_resource_path, "suggest_asset_diretory_test", "Images.xcassets")) converter.input_dir = "FaceAssetsDir" converter.output_dir = self.converter_output_tests_resource_path try: converter.convert() self.fail("This should fail") except AssetsDirNotFoundException as e: self.assertEqual(e.asset_dir_candidate, None) def test_dont_reconvert_old_files_test(self): converter = Converter() os.chdir(os.path.join(self.converter_tests_resource_path, "dont_reconvert_old_files_test")) converter.input_dir = "Assets" converter.output_dir = self.converter_output_tests_resource_path converter.convert() sha1_of_generated_files = [] sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-01.png"))) sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-02.png"))) shutil.copy2(os.path.join(converter.input_dir, "test-01.eps"), os.path.join(converter.input_dir, "test-02.eps")) converter.convert() sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-01.png"))) sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-02.png"))) self.assertEqual(sha1_of_generated_files[0], sha1_of_generated_files[2]) self.assertNotEqual(sha1_of_generated_files[1], sha1_of_generated_files[3]) def test_respect_force_flag(self): converter = Converter() os.chdir(os.path.join(self.converter_tests_resource_path, "dont_reconvert_old_files_test")) converter.input_dir = "Assets" converter.output_dir = self.converter_output_tests_resource_path converter.force_convert = True converter.convert() sha1_of_generated_files = [] sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-01.png"))) sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-02.png"))) converter.convert() sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-01.png"))) sha1_of_generated_files.append(converter.sha1_of_file(os.path.join(converter.output_dir, "test-02.png"))) self.assertNotEqual(sha1_of_generated_files[0], sha1_of_generated_files[2]) self.assertNotEqual(sha1_of_generated_files[1], sha1_of_generated_files[3]) def test_escape_filenames(self): converter = Converter() converter.input_dir = os.path.join(self.converter_tests_resource_path, "convert_test") converter.output_dir = self.converter_output_tests_resource_path fancy_filename = "& :()[]{}|" shutil.rmtree(os.path.join(converter.input_dir, "subfolder", "subsubfolder")) os.remove(os.path.join(converter.input_dir, "test-01.eps")) os.remove(os.path.join(converter.input_dir, "test-02.eps")) os.remove(os.path.join(converter.input_dir, "test-03.eps")) os.rename(os.path.join(converter.input_dir, "subfolder", "test-04.eps"), os.path.join(converter.input_dir, "subfolder", fancy_filename + ".eps")) converter.convert() self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", fancy_filename + ".png"), (100, 100)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", fancy_filename + "@2x.png"), (200, 200)) self.assert_valid_png_file( os.path.join(self.converter_output_tests_resource_path, "subfolder", fancy_filename + "@3x.png"), (300, 300)) def test_should_raise_exception_when_assets_dir_contains_xcassets_dir(self): os.mkdir("test.xcassets") converter = Converter() converter.input_dir = "." converter.output_dir = self.converter_output_tests_resource_path pass def test_should_raise_exception_when_imageset_dir_is_xcassets_dir(self): converter = Converter() converter.input_dir = os.path.join(self.converter_tests_resource_path, "convert_xcassets_exception_test") converter.output_dir = self.converter_output_tests_resource_path try: converter.convert() self.fail("This should fail") except AssetsDirContainsImagesetDirectoryException as e: self.assertEqual(e.imageset_directory_path, os.path.join(converter.input_dir, "test.xcassets","test.imageset")) self.assertEqual(e.assets_dir, converter.input_dir)

47.245

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0.054431

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9,449

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null

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1

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null

0

6

a49eb9f0519734ac375994589e3db5e2f4ccca7d

156

py

Python

scikits/talkbox/features/__init__.py

neEverett/talkbox

ee0ec30a6a6d483eb9284f72bdaf26bd99765f80

[ "MIT" ]

65

2015-02-18T05:23:12.000Z

2022-02-21T13:09:34.000Z

scikits/talkbox/features/__init__.py

neEverett/talkbox

ee0ec30a6a6d483eb9284f72bdaf26bd99765f80

[ "MIT" ]

5

2016-06-26T08:46:22.000Z

2019-01-09T03:03:39.000Z

scikits/talkbox/features/__init__.py

neEverett/talkbox

ee0ec30a6a6d483eb9284f72bdaf26bd99765f80

[ "MIT" ]

31

2015-02-23T22:42:15.000Z

2022-02-21T13:09:34.000Z

from scikits.talkbox.features.mel import mel2hz, hz2mel __all__ = ['mel2hz', 'hz2mel'] from scikits.talkbox.features.mfcc import mfcc __all__ += ['mfcc']

26

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0.75

20

156

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0.201835

0.330275

0.477064

0

0.028986

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156

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0.5

0

1

0

null

1

0

1

0

null

0

1

0

6

a4a4bc948dded2d6afc5dcd9d23e525577f35d17

20

py

Python

dataloaders/__init__.py

psui3905/CCT

637cbac130b39f02733339c79cdf1d531e339e9c

[ "MIT" ]

308

2020-06-09T13:37:17.000Z

2022-03-24T07:43:33.000Z

dataloaders/__init__.py

lesvay/CCT

cf98ea7e6aefa7091e6c375a9025ba1e0f6e53ca

[ "MIT" ]

55

2020-06-16T11:57:54.000Z

2022-03-09T12:04:58.000Z

dataloaders/__init__.py

lesvay/CCT

cf98ea7e6aefa7091e6c375a9025ba1e0f6e53ca

[ "MIT" ]

51

2020-06-08T02:42:14.000Z

2022-02-25T16:38:36.000Z

from .voc import VOC

20

0.8

4

20

4

0.75

0

0.15

20

1

20

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f10f65a7b08891482ef78385aedd40a97602cbcc

44

py

Python

build/lib/requestmap/Utilities/__init__.py

yyjlincoln/RequestMap

3fff1117e4aef59afe66cce29cd29e7670ae46f7

[ "Apache-2.0" ]

2

2021-12-12T06:25:51.000Z

2021-12-26T11:08:27.000Z

build/lib/requestmap/Utilities/__init__.py

yyjlincoln/RequestMap

3fff1117e4aef59afe66cce29cd29e7670ae46f7

[ "Apache-2.0" ]

null

build/lib/requestmap/Utilities/__init__.py

yyjlincoln/RequestMap

3fff1117e4aef59afe66cce29cd29e7670ae46f7

[ "Apache-2.0" ]

null

from . import JITDictionary as JITDictionary

44

0.863636

5

44

7.6

0.8

0

0.113636

44

1

44

0.974359

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

74c8547e0e3099bdcdaff0b6bd2f51cdf97e4409

112

py

Python

app/file_management/__init__.py

kiza054/woodhall-scout-blog-prototype

bc7dc0b766263bb7a1a4d342d27c57d7989ff152

[ "MIT" ]

null

app/file_management/__init__.py

kiza054/woodhall-scout-blog-prototype

bc7dc0b766263bb7a1a4d342d27c57d7989ff152

[ "MIT" ]

null

app/file_management/__init__.py

kiza054/woodhall-scout-blog-prototype

bc7dc0b766263bb7a1a4d342d27c57d7989ff152

[ "MIT" ]

null

from flask import Blueprint bp = Blueprint('file_management', __name__) from app.file_management import routes

22.4

43

0.821429

15

112

5.733333

0.666667

0.325581

0

0.116071

112

5

44

22.4

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0.132743

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false

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1

0

1

0

null

0

1

0

1

0

6

74efa79d02e726ff5ce2006cb72132cea91ea0e8

10,947

py

Python

cmframework/test/cmdsshandler_test.py

akraino-edge-stack/ta-config-manager

8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44

[ "Apache-2.0" ]

null

cmframework/test/cmdsshandler_test.py

akraino-edge-stack/ta-config-manager

8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44

[ "Apache-2.0" ]

null

cmframework/test/cmdsshandler_test.py

akraino-edge-stack/ta-config-manager

8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44

[ "Apache-2.0" ]

null

# Copyright 2019 Nokia # 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. import unittest import mock from mock import call import json from collections import OrderedDict from cmframework.utils.cmdsshandler import CMDSSHandler from cmframework.apis.cmerror import CMError from dss.api import dss_error class CMDSSHandlerTest(unittest.TestCase): @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_init(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.assert_called_once_with('test_uri') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_domains_exception(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.side_effect = dss_error.Error('no domains') with self.assertRaises(CMError) as context: handler.get_domains() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_domains(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') expected_result = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domains.return_value = expected_result domains = handler.get_domains() assert domains == expected_result @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_domain_not_existing(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] domain = handler.get_domain('not domain') assert domain is None mock_dss_client.return_value.get_domains.assert_called_once() mock_dss_client.return_value.get_domain.assert_not_called() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_domain_dss_fails(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.side_effect = dss_error.Error('some error') with self.assertRaises(CMError) as context: domain = handler.get_domain('a domain') mock_dss_client.return_value.get_domains.assert_called_once() mock_dss_client.return_value.get_domain.assert_called_once_with('a domain') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_domain(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] expected_result = OrderedDict([('name1', 'value1'), ('name2', 'value2')]) mock_dss_client.return_value.get_domain.return_value = expected_result domain = handler.get_domain('a domain') assert domain == expected_result @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_set_dss_fails(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.set.side_effect = dss_error.Error('some error') with self.assertRaises(CMError) as context: handler.set('a domain', 'a name', 'a value') mock_dss_client.return_value.set.assert_called_once_with('a domain', 'a name', 'a value') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_set(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') handler.set('a domain', 'a name', 'a value') mock_dss_client.return_value.set.assert_called_once_with('a domain', 'a name', 'a value') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_dss_fails(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.return_value = OrderedDict([('name', 'value')]) mock_dss_client.return_value.delete.side_effect = dss_error.Error('some error') with self.assertRaises(CMError) as context: handler.delete('a domain', 'name') mock_dss_client.return_value.delete.assert_called_once_with('a domain', 'name') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_non_existing_name(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.return_value = OrderedDict([('name', 'value')]) handler.delete('a domain', 'a name') mock_dss_client.return_value.get_domain.assert_called_once_with('a domain') mock_dss_client.return_value.delete.assert_not_called() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_non_existing_domain(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] handler.delete('not domain', 'no name') mock_dss_client.return_value.get_domains.assert_called_once() mock_dss_client.return_value.get_domain.assert_not_called() mock_dss_client.return_value.delete.assert_not_called() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_dss_fails(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.side_effect = dss_error.Error('some error') with self.assertRaises(CMError) as context: handler.get('a domain', 'name') mock_dss_client.return_value.get_domain.assert_called_once_with('a domain') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_non_existing_name(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.return_value = OrderedDict([('name', 'value')]) value = handler.get('a domain', 'a name') assert value is None mock_dss_client.return_value.get_domain.assert_called_once_with('a domain') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get_non_existing_domain(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.return_value = OrderedDict([('name', 'value')]) value = handler.get('some domain', 'a name') assert value is None mock_dss_client.return_value.get_domain.assert_not_called() mock_dss_client.return_value.get_domains.assert_called_once() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_get(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.get_domain.return_value = OrderedDict([('name', 'value')]) value = handler.get('a domain', 'name') assert value == 'value' @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_domain_dss_fails(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] mock_dss_client.return_value.delete_domain.side_effect = dss_error.Error('some error') with self.assertRaises(CMError) as context: handler.delete_domain('a domain') mock_dss_client.return_value.delete_domain.assert_called_once_with('a domain') @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_domain_non_existent(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] handler.delete_domain('not domain') mock_dss_client.return_value.get_domains.assert_called_once() mock_dss_client.return_value.delete_domain.assert_not_called() @mock.patch('cmframework.utils.cmdsshandler.dss_client.Client') @mock.patch('cmframework.utils.cmdsshandler.logging') def test_delete_domain(self, mock_logging, mock_dss_client): handler = CMDSSHandler(uri='test_uri') mock_dss_client.return_value.get_domains.return_value = ['a domain', 'b domain', 'c domain'] handler.delete_domain('a domain') mock_dss_client.return_value.get_domains.assert_called_once() mock_dss_client.return_value.delete_domain.assert_called_once_with('a domain') if __name__ == '__main__': unittest.main()

42.430233

100

0.730063

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10,947

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0.084828

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0

null

0

1

0

null

0

6

2d07488f1b9312b8fb796945441f4f88c35afe8a

27

py

Python

parser/__init__.py

magarnicle/vcarded

d8663c0fd6a4472d1bf7a56e43dc134e7a853817

[ "Unlicense" ]

null

parser/__init__.py

magarnicle/vcarded

d8663c0fd6a4472d1bf7a56e43dc134e7a853817

[ "Unlicense" ]

null

parser/__init__.py

magarnicle/vcarded

d8663c0fd6a4472d1bf7a56e43dc134e7a853817

[ "Unlicense" ]

null

from parser.parse import *

13.5

26

0.777778

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27

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27

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null

0

1

0

1

0

1

0

6

7422b791b165d64a9c090a04a0ee6a03c755c42d

1,890

py

Python

mycode.py

Shaik-sameer-AIML/mobilerobot-openloopcontrol

47748cc44a35d280db5d3f7c72a1c28c4c07e4d2

[ "BSD-3-Clause" ]

null

mycode.py

Shaik-sameer-AIML/mobilerobot-openloopcontrol

47748cc44a35d280db5d3f7c72a1c28c4c07e4d2

[ "BSD-3-Clause" ]

null

mycode.py

Shaik-sameer-AIML/mobilerobot-openloopcontrol

47748cc44a35d280db5d3f7c72a1c28c4c07e4d2

[ "BSD-3-Clause" ]

null

from robomaster import robot import time if _name_ == '_main_': ep_robot = robot.Robot() ep_robot.initialize(conn_type="ap") ep_chassis = ep_robot.chassis ep_led = ep_robot.led ep_led.set_led(comp="all",r=255,g=0,b=0,effect="on") ep_chassis.move(x=2, y=0, z=0, xy_speed=1).wait_for_completed() ep_led.set_led(comp="all",r=80,g=255,b=30,effect="on") ep_chassis.move(x=0, y=0, z=80, xy_speed=1).wait_for_completed() ep_led.set_led(comp="all",r=0,g=100,b=255,effect="on") ep_chassis.move(x=2, y=0, z=0, xy_speed=1).wait_for_completed() ep_led.set_led(comp="all",r=100,g=70,b=255,effect="on") ep_chassis.move(x=-2, y=0, z=0, xy_speed=1).wait_for_completed() ep_led.set_led(comp="all",r=255,g=0,b=0,effect="on") ep_led.set_led(comp="all",r=255,g=0,b=0,effect="on") ep_chassis.move(x=0, y=0, z=90, xy_speed=1).wait_for_completed() ep_led.set_led(comp="all",r=80,g=255,b=30,effect="on") ep_chassis.move(x=0.5, y=0, z=0, xy_speed=1).wait_for_completed() ep_chassis.drive_speed(x=0.2,y=0,z=50) time.sleep(20) ep_chassis.drive_speed(x=0,y=0,z=0) ep_chassis.drive_speed(x=0,y=0.2,z=50) time.sleep(20) ep_chassis.drive_speed(x=0,y=0,z=0) for i in range(10): ep_led.set_led(comp="all",r=255,g=0,b=0,effect="on") time.sleep(0.1) ep_led.set_led(comp="all",r=0,g=255,b=0,effect="on") time.sleep(0.1) ep_led.set_led(comp="all",r=0,g=0,b=255,effect="on") time.sleep(0.1) print("Completed...") ep_chassis.drive_speed(x=0,y=0.2,z=100) time.sleep(20) ep_chassis.drive_speed(x=0,y=0,z=0) ep_led.set_led(comp="all",r=0,g=0,b=255,effect="on") time.sleep(0.1) ep_robot.close() ## OUTPUT: ![output](https://github.com/Shaik-sameer-AIML/mobilerobot-openloopcontrol/blob/main/starting.jpeg?raw=true)

35

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1,890

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0.170103

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0.077329

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1

0

null

0

1

0

6

742c6a53f115d2b8a18c4ed73dc55c5b1e2cc9d4

8,584

py

Python

tests/unit/test_test_matchers.py

RerrerBuub/asciidoxy

3402f37d59e30975e9919653465839e396f05513

[ "Apache-2.0" ]

14

2020-04-28T08:51:43.000Z

2022-02-12T13:40:34.000Z

tests/unit/test_test_matchers.py

RerrerBuub/asciidoxy

3402f37d59e30975e9919653465839e396f05513

[ "Apache-2.0" ]

47

2020-05-18T14:19:31.000Z

2022-03-04T13:46:46.000Z

tests/unit/test_test_matchers.py

RerrerBuub/asciidoxy

3402f37d59e30975e9919653465839e396f05513

[ "Apache-2.0" ]

8

2020-05-17T20:52:42.000Z

2022-02-25T16:16:01.000Z

# Copyright (C) 2019-2021, TomTom (http://tomtom.com). # # 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. """Test test functionality for partial model comparison.""" from asciidoxy.model import Compound, Parameter from .matchers import (AtLeast, HasNot, IsEmpty, IsFalse, IsNone, IsNotEmpty, IsTrue, PartialModel, SizeIs, Unordered, m_compound) def test_match_only_specified_attributes(): PartialModel(Compound, id="abc").assert_matches(Compound(id="abc")) PartialModel(Compound, id="abc").assert_matches(Compound(id="abc", name="name")) PartialModel(Compound, name="name").assert_matches(Compound(id="abc", name="name")) PartialModel(Compound, id="abc", name="name").assert_matches(Compound(id="abc", name="name")) PartialModel(Compound, id="abdc").assert_not_matches(Compound(id="abc")) PartialModel(Compound, id="abdc").assert_not_matches(Compound(id="abc", name="name")) PartialModel(Compound, name="dname").assert_not_matches(Compound(id="abc", name="name")) PartialModel(Compound, id="abdc", name="dname").assert_not_matches(Compound(id="abc", name="name")) def test_match_nested_expectations(): PartialModel(Compound, members=[PartialModel(Compound, id="abc") ]).assert_matches(Compound(members=[Compound(id="abc")])) PartialModel(Compound, members=[PartialModel(Compound, members=[PartialModel(Compound, id="abc")]) ]).assert_matches( Compound(members=[Compound(members=[Compound(id="abc")])])) PartialModel(Compound, members=[PartialModel(Compound, id="abcd") ]).assert_not_matches(Compound(members=[Compound(id="abc")])) PartialModel(Compound, members=[PartialModel(Compound, id="abcd")]).assert_not_matches(Compound(members=[])) PartialModel(Compound, members=[PartialModel(Compound, members=[PartialModel(Compound, id="abcd")]) ]).assert_not_matches( Compound(members=[Compound(members=[Compound(id="abc")])])) def test_match_nested_original_objects(): PartialModel(Compound, members=[Compound(id="abc") ]).assert_matches(Compound(members=[Compound(id="abc")])) PartialModel(Compound, members=[PartialModel(Compound, members=[Compound(id="abc")])]).assert_matches( Compound(members=[Compound(members=[Compound(id="abc")])])) PartialModel(Compound, members=[Compound(id="dabc") ]).assert_not_matches(Compound(members=[Compound(id="abc")])) PartialModel(Compound, members=[PartialModel(Compound, members=[Compound(id="dabc")]) ]).assert_not_matches( Compound(members=[Compound(members=[Compound(id="abc")])])) def test_type_must_match(): PartialModel(Compound, id="abc").assert_matches(Compound(id="abc")) PartialModel(Compound, name="abc").assert_not_matches(Parameter(name="abc")) def test_unordered(): m_compound(members=Unordered(m_compound(name="a"), m_compound(name="b"))).assert_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=Unordered(m_compound(name="b"), m_compound(name="a"))).assert_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=Unordered(m_compound(name="a"), m_compound(name="b"))).assert_matches( Compound(members=[Compound(name="b"), Compound(name="a")])) m_compound(members=Unordered(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="c"), Compound(name="b")])) m_compound(members=Unordered(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="a")])) def test_atleast(): m_compound(members=AtLeast(m_compound(name="a"), m_compound(name="b"))).assert_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=AtLeast(m_compound(name="a"))).assert_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=AtLeast(m_compound(name="b"))).assert_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=AtLeast(m_compound(name="a"), m_compound(name="c"))).assert_not_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) m_compound(members=AtLeast(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="a"), Compound(name="c")])) m_compound(members=AtLeast(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="a")])) def test_hasnot(): m_compound(members=HasNot(m_compound(name="a"))).assert_matches( Compound(members=[Compound(name="c"), Compound(name="d")])) m_compound(members=HasNot(m_compound(name="a"), m_compound(name="b"))).assert_matches( Compound(members=[Compound(name="c"), Compound(name="d")])) m_compound(members=HasNot(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="a"), Compound(name="d")])) m_compound(members=HasNot(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="c"), Compound(name="b")])) m_compound(members=HasNot(m_compound(name="a"), m_compound(name="b"))).assert_not_matches( Compound(members=[Compound(name="a"), Compound(name="b")])) def test_isempty(): m_compound(name=IsEmpty()).assert_matches(Compound(name=None)) m_compound(name=IsEmpty()).assert_matches(Compound(name="")) m_compound(name=IsEmpty()).assert_not_matches(Compound(name="bla")) def test_isnotempty(): m_compound(name=IsNotEmpty()).assert_matches(Compound(name="bla")) m_compound(name=IsNotEmpty()).assert_matches(Compound(name=" ")) m_compound(name=IsNotEmpty()).assert_matches(Compound(name=" ")) m_compound(name=IsNotEmpty()).assert_matches(Compound(name="\t")) m_compound(name=IsNotEmpty()).assert_not_matches(Compound(name="")) m_compound(name=IsNotEmpty()).assert_not_matches(Compound(name=None)) def test_isfalse(): m_compound(static=IsFalse()).assert_matches(Compound(static=False)) m_compound(static=IsFalse()).assert_not_matches(Compound(static=True)) m_compound(static=IsFalse()).assert_not_matches(Compound(static="bla")) m_compound(static=IsFalse()).assert_not_matches(Compound(static=None)) def test_istrue(): m_compound(static=IsTrue()).assert_matches(Compound(static=True)) m_compound(static=IsTrue()).assert_not_matches(Compound(static=False)) m_compound(static=IsTrue()).assert_not_matches(Compound(static="bla")) m_compound(static=IsTrue()).assert_not_matches(Compound(static=None)) def test_isnone(): m_compound(name=IsNone()).assert_matches(Compound(name=None)) m_compound(name=IsNone()).assert_not_matches(Compound(name="")) m_compound(name=IsNone()).assert_not_matches(Compound(name="bla")) m_compound(name=IsNone()).assert_not_matches(Compound(name=0)) def test_sizeis(): m_compound(members=SizeIs(1)).assert_matches(Compound(members=[Compound()])) m_compound(members=SizeIs(2)).assert_matches(Compound(members=[Compound(), Compound()])) m_compound(members=SizeIs(0)).assert_matches(Compound(members=[])) m_compound(members=SizeIs(1)).assert_not_matches(Compound(members=[Compound(), Compound()])) m_compound(members=SizeIs(2)).assert_not_matches(Compound(members=[Compound()])) m_compound(members=SizeIs(0)).assert_not_matches(Compound(members=[Compound()])) # Constructor replaces None with empty list compound_members_none = Compound() compound_members_none.members = None m_compound(members=SizeIs(0)).assert_not_matches(compound_members_none)

50.792899

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0.786943

0.769393

0.717269

0.583187

0

0.002728

0.145969

8,584

168

100

51.095238

0.774519

0.077936

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0.350877

0

0.029762

0

0.552632

1

0.114035

false

0

0.017544

0

0.131579

0

null

0

1

0

null

0

1

0

6

744b26a34d0b11d61b4ad844fc454d894622bc00

334

py

Python

src/spaceone/inventory/connector/__init__.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

2

2021-02-22T07:08:17.000Z

2021-04-19T10:16:28.000Z

src/spaceone/inventory/connector/__init__.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

null

src/spaceone/inventory/connector/__init__.py

spaceone-dev/plugin-oracle-cloud-service-inven-collector

555dac75b69ebc9ea0f778d69e81407a88be1853

[ "Apache-2.0" ]

4

2021-02-08T02:21:57.000Z

2021-06-25T02:28:35.000Z

from spaceone.inventory.libs.connector import OCIConnector from spaceone.inventory.connector.autonomous_database import AutonomousDatabaseConnector from spaceone.inventory.connector.baremetal_vm_database import BareMetalVMDatabaseConnector from spaceone.inventory.connector.exadata_cloud_database import ExadataCloudDatabaseConnector

66.8

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745f7e3fef475e081b2c57b32039dbc3780619e7

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py

Python

Python/myprojects/models/__init__.py

iatanasov77/my-web-projects-guis

833899dc99ed952ee813c49f0d5852da498d93eb

[ "MIT" ]

null

Python/myprojects/models/__init__.py

iatanasov77/my-web-projects-guis

833899dc99ed952ee813c49f0d5852da498d93eb

[ "MIT" ]

null

Python/myprojects/models/__init__.py

iatanasov77/my-web-projects-guis

833899dc99ed952ee813c49f0d5852da498d93eb

[ "MIT" ]

null

from .postmodel import * from .commentmodel import * from .questionmodel import * from .choicemodel import *

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6

74a7273d74378282c6c8da6a8a51a09ffb640c7c

24

py

Python

midas_web_solution/midas_web_solution/settings/__init__.py

jupiny/MIDASWebSolution

c6250bb7aeab815b3c759ae4f7b419da50c26b1c

[ "MIT" ]

null

midas_web_solution/midas_web_solution/settings/__init__.py

jupiny/MIDASWebSolution

c6250bb7aeab815b3c759ae4f7b419da50c26b1c

[ "MIT" ]

null

midas_web_solution/midas_web_solution/settings/__init__.py

jupiny/MIDASWebSolution

c6250bb7aeab815b3c759ae4f7b419da50c26b1c

[ "MIT" ]

null

from .partials import *

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6

77cabf0231475641fc08f1640f659ef30f41c2f0

114

py

Python

Demos/HelloWorld/Assets/Test.py

WhoBrokeTheBuild/Ryme

945c4ab135dbe411f43787cbf222589b13420d4b

[ "MIT" ]

null

Demos/HelloWorld/Assets/Test.py

WhoBrokeTheBuild/Ryme

945c4ab135dbe411f43787cbf222589b13420d4b

[ "MIT" ]

null

Demos/HelloWorld/Assets/Test.py

WhoBrokeTheBuild/Ryme

945c4ab135dbe411f43787cbf222589b13420d4b

[ "MIT" ]

null

import ryme ryme.Log("Hello, World!") ryme.Log(repr(ryme.GetVersion())) ryme.Log(repr(ryme.GetCurrentPath()))

12.666667

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114

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8

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6

77ccd1dd7eaa3977f52ebf40d1349e25ff3bf7f7

52

py

Python

submod_b/subpackages/submod_b/__init__.py

SpenserHaddad/pyinstaller-namespace-issue-repro

0578b4063279ef95ce2c0735b76fe2c75945ad4f

[ "MIT" ]

null

submod_b/subpackages/submod_b/__init__.py

SpenserHaddad/pyinstaller-namespace-issue-repro

0578b4063279ef95ce2c0735b76fe2c75945ad4f

[ "MIT" ]

null

submod_b/subpackages/submod_b/__init__.py

SpenserHaddad/pyinstaller-namespace-issue-repro

0578b4063279ef95ce2c0735b76fe2c75945ad4f

[ "MIT" ]

null

def sayhi(): return "Hello from submodule B!!!"

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52

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52

2

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true

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null

0

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null

0

1

0

1

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6

77d436d7c37ad9bfe4ac8247a98cd877859555d8

34

py

Python

bumpv/client/config/__init__.py

kylie-a/bumpversion

13a150daa02f29e7dd74b5240c54c7929ec176b8

[ "MIT" ]

null

bumpv/client/config/__init__.py

kylie-a/bumpversion

13a150daa02f29e7dd74b5240c54c7929ec176b8

[ "MIT" ]

null

bumpv/client/config/__init__.py

kylie-a/bumpversion

13a150daa02f29e7dd74b5240c54c7929ec176b8

[ "MIT" ]

1

2019-11-24T15:36:19.000Z

from .config import Configuration

17

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0.966667

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6

77ed766a4e2ebc7683b208018ab9e6092c469125

3,171

py

Python

src/pyvalidations/rules/datetime.py

MajAhd/py_validations

372b2b40c5b4e1565c04b1ec53b195596261c50d

[ "MIT" ]

6

2021-12-15T23:33:07.000Z

2022-02-13T17:12:53.000Z

src/pyvalidations/rules/datetime.py

MajAhd/py_validation

372b2b40c5b4e1565c04b1ec53b195596261c50d

[ "MIT" ]

null

src/pyvalidations/rules/datetime.py

MajAhd/py_validation

372b2b40c5b4e1565c04b1ec53b195596261c50d

[ "MIT" ]

null

from datetime import datetime import re class DateTime: """ Validate value is date/time :param value : string """ def __init__(self, value): self.value = value def is_date(self): """ check date : YY-MM-YY :return: bool """ try: return re.match(r'([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01]))', self.value) except Exception: return False def is_time(self): """ check Time : HH:MM AM , HH:MM PM , HH:MM :return: bool """ try: return re.match(r'^([0-1]?[0-9]|2[0-3]):[0-5][0-9]([AaPp][Mm])?$', self.value) except Exception: return False def is_date_time(self): """ check datetime : YY-MM-YY HH:MM :return: bool """ try: return re.match( r'([12]\d{3}-(0[1-9]|1[0-2])-(0[1-9]|[12]\d|3[01])) ([0-1]?[0-9]|2[0-3]):[0-5][0-9]$', self.value) except Exception: return False def is_timezone(self): """ check timezone : +1:30 , -02:00 :return: bool """ try: return re.match(r'[+-][0-9]{2}:[0-9]{2}\b', self.value) except Exception: return False def date_equals(self, target): """ check datetime : YY-MM-YY == YY-MM-YY :param target: YY-MM-YY :return: bool """ try: dt1 = datetime.strptime(self.value, "%Y-%M-%d") dt2 = datetime.strptime(target, "%Y-%M-%d") return dt1 == dt2 except Exception: return False def is_after(self, target): """ check datetime : YY-MM-YY > YY-MM-YY :param target: YY-MM-YY :return: bool """ try: dt1 = datetime.strptime(self.value, "%Y-%M-%d") dt2 = datetime.strptime(target, "%Y-%M-%d") return dt1 > dt2 except Exception: return False def is_after_or_equal(self, target): """ check datetime : YY-MM-YY >= YY-MM-YY :param target: YY-MM-YY :return: bool """ try: dt1 = datetime.strptime(self.value, "%Y-%M-%d") dt2 = datetime.strptime(target, "%Y-%M-%d") return dt1 >= dt2 except Exception: return False def is_before(self, target): """ check datetime : YY-MM-YY < YY-MM-YY :param target: YY-MM-YY :return: bool """ try: dt1 = datetime.strptime(self.value, "%Y-%M-%d") dt2 = datetime.strptime(target, "%Y-%M-%d") return dt1 < dt2 except Exception: return False def is_before_or_equal(self, target): """ check datetime : YY-MM-YY <= YY-MM-YY :param target: YY-MM-YY :return: bool """ try: dt1 = datetime.strptime(self.value, "%Y-%M-%d") dt2 = datetime.strptime(target, "%Y-%M-%d") return dt1 <= dt2 except Exception: return False

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77f28698c19737832656f6ebadfaa2056f303f89

132

py

Python

src/Foundation/Module/mypkg/mod3.py

mryyomutga/PracticePython

e191d73064248d0983344b137fbe6b69e5eb1d12

[ "MIT" ]

null

src/Foundation/Module/mypkg/mod3.py

mryyomutga/PracticePython

e191d73064248d0983344b137fbe6b69e5eb1d12

[ "MIT" ]

null

src/Foundation/Module/mypkg/mod3.py

mryyomutga/PracticePython

e191d73064248d0983344b137fbe6b69e5eb1d12

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Module/mypkg/mod3.py class MyClass(): def func3(self): print("./mypkg/mod3.py") print("func3")

18.857143

27

0.583333

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4.277778

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null

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1

0

1

0

6

77f6fe5689f503338b3dd8893892e3c6aeea2a19

138

py

Python

online_pharmacy/cart/views.py

geekyJock8/online_pharmacy

892852857786ec17259b71f2a178896cd6d12e60

[ "Apache-2.0" ]

5

2020-09-09T13:59:17.000Z

2021-09-30T07:20:55.000Z

online_pharmacy/cart/views.py

geekyJock8/online_pharmacy

892852857786ec17259b71f2a178896cd6d12e60

[ "Apache-2.0" ]

10

2017-09-03T06:13:31.000Z

2017-10-10T15:22:30.000Z

online_pharmacy/cart/views.py

geekyJock8/Online-Pharmacy

892852857786ec17259b71f2a178896cd6d12e60

[ "Apache-2.0" ]

9

2017-09-03T04:59:18.000Z

2019-10-17T11:33:18.000Z

from django.http import HttpResponse def showCart(request): return HttpResponse('<h1>This is the cart of the required user. </h1>')

23

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0.73913

20

138

5.1

0.85

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138

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1

0

6

7ae7ad6c6e8005228328a3deaa9863517a65cdf0

85

py

Python

ranzen/torch/__init__.py

predictive-analytics-lab/mantra

6c63d1d1e01745f31dbdc7c34f6c7932bcdccef8

[ "Apache-2.0" ]

null

ranzen/torch/__init__.py

predictive-analytics-lab/mantra

6c63d1d1e01745f31dbdc7c34f6c7932bcdccef8

[ "Apache-2.0" ]

4

2021-11-03T18:48:36.000Z

2022-03-16T14:01:45.000Z

ranzen/torch/__init__.py

wearepal/ranzen

e249220026ccb5c05218c7202866690b5447d37e

[ "Apache-2.0" ]

null

from .data import * from .loss import * from .sampling import * from .utils import *

17

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0.717647

12

85

5.083333

0.5

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0.188235

85

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true

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null

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1

0

1

0

1

0

6

7aed17745ee389a2a253ca209da95b23e8120ec6

94

py

Python

python/multiply/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

2

2020-02-22T08:47:51.000Z

2021-05-21T22:21:55.000Z

python/multiply/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

null

python/multiply/solution.py

hiljusti/codewars-solutions

1a423e8cb0fbcac94738f6e51dc333f057b0a731

[ "WTFPL" ]

1

2021-11-09T17:22:10.000Z

# https://www.codewars.com/kata/50654ddff44f800200000004 def multiply(a, b): return a * b

15.666667

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13

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5.230769

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94

5

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0.604938

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null

0

1

0

1

0

6

2495089e3bc04ee397577a6be58e07f9ed45a8e7

7,324

py

Python

backpack/extensions/secondorder/hbp/linear.py

rioyokotalab/backpack

000a1dbe7b2d6e5b309151df800edf866b9b514c

[ "MIT" ]

null

backpack/extensions/secondorder/hbp/linear.py

rioyokotalab/backpack

000a1dbe7b2d6e5b309151df800edf866b9b514c

[ "MIT" ]

null

backpack/extensions/secondorder/hbp/linear.py

rioyokotalab/backpack

000a1dbe7b2d6e5b309151df800edf866b9b514c

[ "MIT" ]

null

from backpack.core.derivatives.linear import LinearDerivatives from backpack.extensions.secondorder.hbp.hbp_options import ( BackpropStrategy, ExpectationApproximation, ) from backpack.extensions.secondorder.hbp.hbpbase import HBPBaseModule from backpack.utils.ein import einsum class HBPLinear(HBPBaseModule): def __init__(self): super().__init__(derivatives=LinearDerivatives(), params=["weight", "bias"]) def weight(self, ext, module, g_inp, g_out, backproped): bp_strategy = ext.get_backprop_strategy() if BackpropStrategy.is_batch_average(bp_strategy): return self._weight_for_batch_average(ext, module, backproped) elif BackpropStrategy.is_sqrt(bp_strategy): return self._weight_for_sqrt(ext, module, backproped) def _weight_for_batch_average(self, ext, module, backproped): kron_factors = self._bias_for_batch_average(backproped) kron_factors += self._factors_from_input(ext, module) return kron_factors def _weight_for_sqrt(self, ext, module, backproped): kron_factors = self._factor_from_sqrt(backproped) kron_factors += self._factors_from_input(ext, module) return kron_factors def _factors_from_input(self, ext, module): ea_strategy = ext.get_ea_strategy() if ExpectationApproximation.should_average_param_jac(ea_strategy): mean_input = self.__mean_input(module).unsqueeze(-1) return [mean_input, mean_input.transpose()] else: return [self.__mean_input_outer(module)] def _factor_from_sqrt(self, backproped): return [einsum("vni,vnj->ij", (backproped, backproped))] def bias(self, ext, module, g_inp, g_out, backproped): bp_strategy = ext.get_backprop_strategy() if BackpropStrategy.is_batch_average(bp_strategy): return self._bias_for_batch_average(backproped) elif BackpropStrategy.is_sqrt(bp_strategy): return self._factor_from_sqrt(backproped) def _bias_for_batch_average(self, backproped): return [backproped] def __mean_input(self, module): _, flat_input = self.derivatives.batch_flat(module.input0) return flat_input.mean(0) def __mean_input_outer(self, module): N, flat_input = self.derivatives.batch_flat(module.input0) return einsum("ni,nj->ij", (flat_input, flat_input)) / N class HBPLinearEfficient(HBPBaseModule): def __init__(self): super().__init__( derivatives=LinearDerivatives(), params=["weight", "bias"] ) self._attr = 'kron_factors_from_sqrt' def _set_bias_flag(self, module, value): attr = '_bias_is_called_before_weight' setattr(module, attr, value) def _get_bias_flag(self, module): attr = '_bias_is_called_before_weight' return getattr(module, attr, False) def _set_weight_flag(self, module, value): attr = '_weight_is_called_before_weight' setattr(module, attr, value) def _get_weight_flag(self, module): attr = '_weight_is_called_before_weight' return getattr(module, attr, False) def weight(self, ext, module, g_inp, g_out, backproped): bp_strategy = ext.get_backprop_strategy() attr = self._attr kron_factors = None if not self._get_bias_flag(module): self._set_weight_flag(module, True) if BackpropStrategy.is_batch_average(bp_strategy): kron_factors = self._weight_for_batch_average(ext, module, backproped) elif BackpropStrategy.is_sqrt(bp_strategy): kron_factors = self._weight_for_sqrt(ext, module, backproped) setattr(module, attr, kron_factors) else: kron_factors = getattr(module, attr) self._set_bias_flag(module, False) delattr(module, attr) kron_factors += self._factors_from_input(ext, module) return kron_factors def _weight_for_batch_average(self, ext, module, backproped): kron_factors = self._bias_for_batch_average(backproped) return kron_factors def _weight_for_sqrt(self, ext, module, backproped): kron_factors = self._factor_from_sqrt(backproped, module) return kron_factors def _factors_from_input(self, ext, module): ea_strategy = ext.get_ea_strategy() if ExpectationApproximation.should_average_param_jac(ea_strategy): mean_input = self.__mean_input(module).unsqueeze(-1) return [mean_input, mean_input.transpose()] else: yield self.__mean_input_outer(module) def _factor_from_sqrt(self, backproped, module): return [einsum('bic,bjc->ij', (backproped, backproped))] def bias(self, ext, module, g_inp, g_out, backproped): bp_strategy = ext.get_backprop_strategy() attr = self._attr kron_factors = None if not self._get_weight_flag(module): self._set_bias_flag(module, True) if BackpropStrategy.is_batch_average(bp_strategy): kron_factors = self._bias_for_batch_average(backproped) elif BackpropStrategy.is_sqrt(bp_strategy): kron_factors = self._factor_from_sqrt(backproped, module) setattr(module, attr, kron_factors) else: kron_factors = getattr(module, attr) self._set_weight_flag(module, False) delattr(module, attr) return kron_factors def _bias_for_batch_average(self, backproped): return [backproped] def __mean_input(self, module): _, flat_input = self.derivatives.batch_flat(module.input0) return flat_input.mean(0) def __mean_input_outer(self, module): N, flat_input = self.derivatives.batch_flat(module.input0) return einsum('bi,bj->ij', (flat_input, flat_input)) / N class HBPFRLinear(HBPLinearEfficient): def _weight_for_batch_average(self, ext, module, backproped): raise NotImplementedError("Undefined") def _bias_for_batch_average(self, backproped): raise NotImplementedError("Undefined") def _factors_from_input(self, ext, module): ea_strategy = ext.get_ea_strategy() if ExpectationApproximation.should_average_param_jac(ea_strategy): raise NotImplementedError("Undefined") else: yield self.__mean_input_outer(module) def __mean_input_outer(self, module): attr = 'last_flat_input' last_fl_inp = getattr(module, attr, None) N, flat_input = self.derivatives.batch_flat(module.input0) if last_fl_inp is None: setattr(module, attr, flat_input) return einsum('bi,bj->ij', (flat_input, flat_input)) / N else: delattr(module, attr) return einsum('bi,bj->ij', (flat_input, last_fl_inp)) / N def _factor_from_sqrt(self, backproped, module): attr = 'last_backproped' last_bp = getattr(module, attr, None) if last_bp is None: setattr(module, attr, backproped) return [einsum('bic,bjc->ij', (backproped, backproped))] else: delattr(module, attr) return [einsum('bic,bjc->ij', (backproped, last_bp))]

35.553398

86

0.673266

874

7,324

5.262014

0.106407

0.057404

0.03392

0.028919

0.882148

0.815395

0.772777

0.71646

0.701022

0.676451

0

0.001607

0.235254

7,324

205

87

35.726829

0.819497

0

0.690789

0

0.04083

0.019391

0

1

0.190789

false

0

0.026316

0.414474

0

null

0

1

0

null

0

6

24d8bdd26e24a5d0554a74a1dd0dbb30e847cb4d

188

py

Python

Week1_PyThonBasic/InputOutputExerccise/Exercise1.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

Week1_PyThonBasic/InputOutputExerccise/Exercise1.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

Week1_PyThonBasic/InputOutputExerccise/Exercise1.py

minhvip2001/pythonproject

0ad9e70203fae2cd038872a8d1a71c0bc9416cf3

[ "MIT" ]

null

number1 = int(input("Enter number 1: ")) number2 = int(input("Enter number 2: ")) def multiplication(number1, number2): return number1 * number2 print(multiplication(number1, number2))

37.6

41

0.734043

23

188

6

0.521739

0.304348

0.188406

0.275362

0

0.060976

0.12766

188

5

41

37.6

0.780488

0

0.169312

0

1

0.2

false

0

0.2

0.4

0.2

1

0

null

1

0

1

0

null

0

1

0

6

24ea3463355371cb0f00a55e6bd59c982719a000

96

py

Python

venv/lib/python3.8/site-packages/toml/decoder.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/toml/decoder.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/toml/decoder.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/85/21/93/2dffb65810d9fdd768087585cba37ae3b5f2312875a37acdda8e1d1058

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py

Python

CybORG/CybORG/Shared/Actions/ShellActionsFolder/OpenConnectionFolder/CredentialAccessFolder/BruteForceAccessFolder/__init__.py

rafvasq/cage-challenge-1

95affdfa38afc1124f1a1a09c92fbc0ed5b96318

[ "MIT" ]

18

2021-08-20T15:07:55.000Z

2022-03-11T12:05:15.000Z

CybORG/CybORG/Shared/Actions/ShellActionsFolder/OpenConnectionFolder/CredentialAccessFolder/BruteForceAccessFolder/__init__.py

rafvasq/cage-challenge-1

95affdfa38afc1124f1a1a09c92fbc0ed5b96318

[ "MIT" ]

7

2021-11-09T06:46:58.000Z

2022-03-31T12:35:06.000Z

CybORG/CybORG/Shared/Actions/ShellActionsFolder/OpenConnectionFolder/CredentialAccessFolder/BruteForceAccessFolder/__init__.py

rafvasq/cage-challenge-1

95affdfa38afc1124f1a1a09c92fbc0ed5b96318

[ "MIT" ]

13

2021-08-17T00:26:31.000Z

2022-03-29T20:06:45.000Z

from .SSHHydraBruteForce import SSHHydraBruteForce

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Python

backend/rma/migrations/0001_initial.py

StichtingIAPC/swipe

d1ea35a40813d2d5e9cf9edde33148c0a825efc4

[ "BSD-3-Clause-Clear" ]

null

backend/rma/migrations/0001_initial.py

StichtingIAPC/swipe

d1ea35a40813d2d5e9cf9edde33148c0a825efc4

[ "BSD-3-Clause-Clear" ]

null

backend/rma/migrations/0001_initial.py

StichtingIAPC/swipe

d1ea35a40813d2d5e9cf9edde33148c0a825efc4

[ "BSD-3-Clause-Clear" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.9 on 2018-05-29 18:22 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion import money.models class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('crm', '0001_initial'), ] operations = [ migrations.CreateModel( name='CustomerRMATask', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('handled', models.BooleanField(default=False)), ('customer', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='crm.Customer')), ], ), migrations.CreateModel( name='CustomerTaskDescription', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_created', models.DateTimeField(auto_now=True)), ('date_modified', models.DateTimeField(auto_now_add=True)), ('text', models.TextField()), ('customer_rma_task', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='rma.CustomerRMATask')), ('user_created', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_customertaskdescription_created_by', to=settings.AUTH_USER_MODEL)), ('user_modified', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_customertaskdescription_modified_by', to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='InternalRMA', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_created', models.DateTimeField(auto_now=True)), ('date_modified', models.DateTimeField(auto_now_add=True)), ('state', models.CharField(max_length=3)), ('description', models.TextField()), ('customer', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, to='crm.Customer')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='InternalRMAState', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_created', models.DateTimeField(auto_now=True)), ('state', models.CharField(max_length=3)), ('internal_rma', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='rma.InternalRMA')), ('user_created', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_internalrmastate_created_by', to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='RMACause', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_created', models.DateTimeField(auto_now=True)), ('date_modified', models.DateTimeField(auto_now_add=True)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='TestRMAState', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('date_created', models.DateTimeField(auto_now=True)), ('state', models.CharField(max_length=3)), ('user_created', models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_testrmastate_created_by', to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='DirectRefundRMA', fields=[ ('rmacause_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='rma.RMACause')), ], options={ 'abstract': False, }, bases=('rma.rmacause',), ), migrations.CreateModel( name='StockRMA', fields=[ ('rmacause_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='rma.RMACause')), ('value_currency', money.models.CurrencyField(max_length=3)), ('value', money.models.MoneyField(decimal_places=5, max_digits=28, no_currency_field=True)), ], options={ 'abstract': False, }, bases=('rma.rmacause',), ), migrations.CreateModel( name='TestRMA', fields=[ ('rmacause_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to='rma.RMACause')), ('state', models.CharField(max_length=3)), ], options={ 'abstract': False, }, bases=('rma.rmacause',), ), migrations.AddField( model_name='rmacause', name='user_created', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_rmacause_created_by', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='rmacause', name='user_modified', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_rmacause_modified_by', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='internalrma', name='rma_cause', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, to='rma.RMACause'), ), migrations.AddField( model_name='internalrma', name='user_created', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_internalrma_created_by', to=settings.AUTH_USER_MODEL), ), migrations.AddField( model_name='internalrma', name='user_modified', field=models.ForeignKey(on_delete=django.db.models.deletion.PROTECT, related_name='rma_internalrma_modified_by', to=settings.AUTH_USER_MODEL), ), ]

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7088d947d53275271d7105866e2038ba15ebc949

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py

Python

python_nested_circular_imports/solution_case/dir_nest/shared_code/shared_callee.py

pmdscully/python_snippets

cd07ace1c0b5838fdbaeff08e72647946a8a7c5d

[ "Apache-2.0" ]

null

python_nested_circular_imports/solution_case/dir_nest/shared_code/shared_callee.py

pmdscully/python_snippets

cd07ace1c0b5838fdbaeff08e72647946a8a7c5d

[ "Apache-2.0" ]

null

python_nested_circular_imports/solution_case/dir_nest/shared_code/shared_callee.py

pmdscully/python_snippets

cd07ace1c0b5838fdbaeff08e72647946a8a7c5d

[ "Apache-2.0" ]

null

import sys def my_callee(): print(__file__ + " -> " + sys._getframe().f_code.co_name + "()")

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6

70aa30f9b23f7c055b558c12d48d78d41c35538e

67

py

Python

pytest_examples/test_all_fail.py

ds2643/runnerpy

44b802c34c8a4c29083365186a7c80bb703998bc

[ "MIT" ]

2

2017-12-09T13:31:08.000Z

2017-12-30T06:28:24.000Z

pytest_examples/test_all_fail.py

ds2643/runnerpy

44b802c34c8a4c29083365186a7c80bb703998bc

[ "MIT" ]

null

pytest_examples/test_all_fail.py

ds2643/runnerpy

44b802c34c8a4c29083365186a7c80bb703998bc

[ "MIT" ]

null

def test_foo(): assert False def test_bar(): assert False

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null

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6

3b1bbb670ea60d2d6c04d0c6528225de43777ab5

144

py

Python

dist/Basilisk/simulation/exponentialAtmosphere/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

null

dist/Basilisk/simulation/exponentialAtmosphere/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

1

2019-03-13T20:52:22.000Z

dist/Basilisk/simulation/exponentialAtmosphere/__init__.py

ian-cooke/basilisk_mag

a8b1e37c31c1287549d6fd4d71fcaa35b6fc3f14

[ "0BSD" ]

null

# This __init__.py file for the exponentialAtmosphere package is automatically generated by the build system from exponentialAtmosphere import *

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6

3b301ff447ec0b4f6ac272f4fabe15299f8ed82d

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py

Python

stve/workspace/__init__.py

TE-ToshiakiTanaka/stve

30b1a0c9b8b20f7059999b0b25b16d6b43aa935c

[ "MIT" ]

null

stve/workspace/__init__.py

TE-ToshiakiTanaka/stve

30b1a0c9b8b20f7059999b0b25b16d6b43aa935c

[ "MIT" ]

null

stve/workspace/__init__.py

TE-ToshiakiTanaka/stve

30b1a0c9b8b20f7059999b0b25b16d6b43aa935c

[ "MIT" ]

null

from stve.workspace.workspace import Workspace

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6

3b44bc796b6f270f39233bdc03ee5f6e6ccecb4c

301

py

Python

initdb.py

tradaviahe1982/labman-master

0648410e1b449e8c21574a5bbbc0bcd9c38f1634

[ "MIT" ]

10

2016-08-18T07:12:37.000Z

2019-10-13T06:35:27.000Z

initdb.py

PSOdAz/labman

591f698a12e474df08ccba2503174655cc6a2265

[ "MIT" ]

null

initdb.py

PSOdAz/labman

591f698a12e474df08ccba2503174655cc6a2265

[ "MIT" ]

4

2018-09-06T15:49:59.000Z

2020-09-29T13:16:21.000Z

#!/usr/bin/env python3 from app import db if __name__ == '__main__': print('Initializing the database...') admin_username, admin_password = db.init_db() print('Initialization done') print('Initial admin username: {}, password: {}'.format( admin_username, admin_password))

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6

3b52f5c94fb5128dc7d9a50696d9770af42e4434

22,707

py

Python

tests/ED_spinful_fermions_test.py

anton-buyskikh/QuSpin

4e46b495e399414d9361d659e186492a1ac5b511

[ "BSD-3-Clause" ]

195

2016-10-24T18:05:31.000Z

2022-03-29T10:11:56.000Z

tests/ED_spinful_fermions_test.py

cileeky/QuSpin

769d3817870f6ff55c4283af46f94e11c36f4121

[ "BSD-3-Clause" ]

303

2016-10-25T20:08:11.000Z

2022-03-31T16:52:09.000Z

tests/ED_spinful_fermions_test.py

cileeky/QuSpin

769d3817870f6ff55c4283af46f94e11c36f4121

[ "BSD-3-Clause" ]

54

2017-01-03T18:47:52.000Z

2022-03-16T06:54:33.000Z

from __future__ import print_function, division import sys,os quspin_path = os.path.join(os.getcwd(),"../") sys.path.insert(0,quspin_path) from quspin.operators import hamiltonian from quspin.basis import spinful_fermion_basis_1d # Hilbert spaces import numpy as np # general math functions from itertools import product import scipy.sparse as sp from numpy.linalg import norm from numpy.random import random,seed #seed(0) no_checks = dict() #no_checks = dict(check_pcon=False,check_symm=False,check_herm=False) dtypes=[np.float32,np.float64,np.complex64,np.complex128] def eps(dtype): return 9E-3 def check_m(Lmax): for dtype in dtypes: for L in range(2,Lmax+1): h1=[[2.0*random()-1.0,i] for i in range(L)] h2=[[2.0*random()-1.0,i] for i in range(L)] J1=[[2.0*random()-1.0,i,(i+1)%L] for i in range(L)] J0=random() J2p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J2m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] J0=random() J1p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J1m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] static=[["z|n",J1],["+-|",J2p],["-+|",J2m],["|+-",J1p],["|-+",J1m],["z|",h1],["|n",h2]] basis=spinful_fermion_basis_1d(L=L) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E=H.eigvalsh() Em=[] for Nf,Ndown in product(range(L+1),range(L+1)): basis=spinful_fermion_basis_1d(L=L,Nf=(Nf,Ndown)) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Etemp=H.eigvalsh() Em.append(Etemp) Em=np.concatenate(Em) Em.sort() if norm(Em-E) > eps(dtype): raise Exception( "test failed m symmetry at L={0:3d} with dtype {1} {2}".format(L,dtype,norm(Em-E) ) ) #check_m(5) def check_z(L,dtype,Nf=None): J1=[[2.0*random()-1.0,i,i] for i in range(L)] J0=random() J2p=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] J2m=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] J1p=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] J1m=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] static=[["z|z",J1],["+-|",J2p],["-+|",J2m],["|+-",J1p],["|-+",J1m]] basis=spinful_fermion_basis_1d(L=L,Nf=Nf) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E=H.eigvalsh() basis1=spinful_fermion_basis_1d(L=L,Nf=Nf,sblock=1) H1=hamiltonian(static,[],dtype=dtype,basis=basis1,**no_checks) basis2=spinful_fermion_basis_1d(L=L,Nf=Nf,sblock=-1) H2=hamiltonian(static,[],dtype=dtype,basis=basis2,**no_checks) E1=H1.eigvalsh() E2=H2.eigvalsh() Ez=np.concatenate((E1,E2)) Ez.sort() if norm(Ez-E) > eps(dtype): raise Exception( "test failed z symmetry at L={0:3d} with dtype {1} and Nf={2} {3}".format(L,np.dtype(dtype),Nf, norm(Ez-E))) #check_z(4,np.float64,Nf=(2,2)) #check_z(4,np.complex128) def check_p(L,dtype,Nf=None): L_2=int(L/2) hr=[2.0*random()-1.0 for i in range(L_2)] hi=[hr[i] for i in range(L_2)] hi.reverse() hi.extend(hr) h=[[hi[i],i] for i in range(L)] J=[[1.0,i,i] for i in range(L)] J0=random() J2p=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] J2m=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] J0=random() J1p=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] J1m=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",J1p],["-+|",J1m],["|+-",J2p],["|-+",J2m],["z|",h]] #static=[["z|z",J],["+-|",J2p],["-+|",J2m],["|+-",J1p],["|-+",J1m]] else: static=[["z|z",J],["|+",h],["|-",h],["-|",h],["+|",h]] basis=spinful_fermion_basis_1d(L=L,Nf=Nf) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E=H.eigvalsh() basis1=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=1) H1=hamiltonian(static,[],dtype=dtype,basis=basis1,**no_checks) basis2=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=-1) H2=hamiltonian(static,[],dtype=dtype,basis=basis2,**no_checks) E1=H1.eigvalsh() E2=H2.eigvalsh() Ep=np.concatenate((E1,E2)) Ep.sort() if norm(Ep-E) > eps(dtype): raise Exception( "test failed p symmetry at L={0:3d} with dtype {1} and Nf={2} {3}".format(L,np.dtype(dtype),Nf,norm(Ep-E)) ) #check_p(4,np.float64,Nf=(1,3)) #check_p(4,np.float64) def check_pz(L,dtype,Nf=None): L_2=int(L/2) hr=[2.0*random()-1.0 for i in range(L_2)] hi=[hr[i] for i in range(L_2)] hi.reverse() hi.extend(hr) h=[[hi[i],i] for i in range(L)] J=[[1.0,i,i] for i in range(L)] J0=random() Jp=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] Jm=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] static=[["z|z",J],["+-|",Jp],["-+|",Jm],["|+-",Jp],["|-+",Jm],["z|",h],["|z",h]] basis=spinful_fermion_basis_1d(L=L,Nf=Nf) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E=H.eigvalsh() basis1=spinful_fermion_basis_1d(L=L,Nf=Nf,psblock=1) H1=hamiltonian(static,[],dtype=dtype,basis=basis1,**no_checks) basis2=spinful_fermion_basis_1d(L=L,Nf=Nf,psblock=-1) H2=hamiltonian(static,[],dtype=dtype,basis=basis2,**no_checks) E1=H1.eigvalsh() E2=H2.eigvalsh() Epz=np.concatenate((E1,E2)) Epz.sort() if norm(Epz-E) > eps(dtype): raise Exception( "test failed pz symmetry at L={0:3d} with dtype {1} and Nf={2:2d} {3}".format(L,np.dtype(dtype),Nf,norm(Epz-E)) ) #check_pz(4,np.float64,Nf=(2,2)) def check_p_z(L,dtype,Nf=None): L_2=int(L/2) hr=[2.0*random()-1.0 for i in range(L_2)] hi=[hr[i] for i in range(L_2)] hi.reverse() hi.extend(hr) h=[[hi[i],i] for i in range(L)] J=[[1.0,i,i] for i in range(L)] J0=random() Jp=[[2.0*J0-1.0,i,i+1] for i in range(L-1)] Jm=[[-(2.0*J0-1.0),i,i+1] for i in range(L-1)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",Jp],["-+|",Jm],["|+-",Jp],["|-+",Jm],["z|",h],["|z",h]] else: static=[["z|z",J],["+|",h],["-|",h],["|+",h],["|-",h]] basis=spinful_fermion_basis_1d(L=L,Nf=Nf) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E=H.eigvalsh() basis1=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=1,sblock=1) H1=hamiltonian(static,[],dtype=dtype,basis=basis1,**no_checks) basis2=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=-1,sblock=1) H2=hamiltonian(static,[],dtype=dtype,basis=basis2,**no_checks) basis3=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=1,sblock=-1) H3=hamiltonian(static,[],dtype=dtype,basis=basis3,**no_checks) basis4=spinful_fermion_basis_1d(L=L,Nf=Nf,pblock=-1,sblock=-1) H4=hamiltonian(static,[],dtype=dtype,basis=basis4,**no_checks) E1=H1.eigvalsh() E2=H2.eigvalsh() E3=H3.eigvalsh() E4=H4.eigvalsh() Epz=np.concatenate((E1,E2,E3,E4)) Epz.sort() if norm(Epz-E) > eps(dtype): raise Exception( "test failed pz symmetry at L={0:3d} with dtype {1} and Nf={2:2d} {3}".format(L,np.dtype(dtype),Nf,norm(Epz-E)) ) #check_p_z(4,np.float64,Nf=(2,2)) #check_p_z(4,np.complex128) def check_obc(Lmax): for dtype in dtypes: for L in range(2,Lmax+1,2): check_z(L,dtype,Nf=(L//2,L//2)) check_z(L,dtype) for dtype in dtypes: for L in range(2,Lmax+1,2): for Nup in range(L+1): check_t_p(L,dtype,Nf=(Nup,L-Nup)) check_p(L,dtype) for dtype in dtypes: for L in range(2,Lmax+1,2): check_pz(L,dtype,Nf=(L//2,L//2)) check_pz(L,dtype) for dtype in dtypes: for L in range(2,Lmax+1,2): check_p_z(L,dtype,Nf=(L//2,L//2)) check_p_z(L,dtype) ################################################ def check_t(L,dtype,Nf=None): hx=random() h=[[hx,i] for i in range(L)] J=random() J=[[J,i,(i+1)%L] for i in range(L)] J0=random() J2p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J2m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] J0=random() J1p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J1m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",J1p],["-+|",J1m],["|+-",J2p],["|-+",J2m],["z|",h]] else: static=[["z|z",J],["+|",h],["-|",h],["|+",h],["|-",h]] basis=spinful_fermion_basis_1d(L=L,Nf=Nf) H=hamiltonian(static,[],dtype=dtype,basis=basis,**no_checks) Ns=H.Ns E,_=H.eigh() #E=H.eigvalsh() # gives ValueError: On entry to CHBRDB parameter number 12 had an illegal value Et=np.array([]) for kblock in range(0,L): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock) Hk=hamiltonian(static,[],dtype=dtype,basis=basisk,**no_checks) Et=np.append(Et,Hk.eigvalsh()) Et.sort() if norm(Et-E) > eps(dtype): raise Exception( "test failed t symmetry at L={0:3d} with dtype {1} and Nf={2} {3}".format(L,np.dtype(dtype),Nf,norm(Et-E)) ) #check_t(4,np.complex128,Nf=(1,3)) #check_t(4,np.complex128) def check_t_z(L,dtype,Nf=None): h0=random() h=[[h0,i] for i in range(L)] J0=random() J=[[2.0*J0-1.0,i,i] for i in range(L)] J0=random() Jp=[[ 2.0*J0-1.0 ,i,(i+1)%L] for i in range(L)] Jm=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",Jp],["-+|",Jm],["|+-",Jp],["|-+",Jm]] else: static=[["z|z",J],["+|",h],["-|",h],["|+",h],["|-",h]] L_2=int(L/2) for kblock in range(-L_2+1,L_2+1): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock) Hk=hamiltonian(static,[],dtype=dtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,sblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,sblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() Ekz=np.append(Ek1,Ek2) Ekz.sort() if norm(Ek-Ekz) > eps(dtype): raise Exception( "test failed t z symmetry at L={0:3d} with dtype {1} and Nf={2} {3}".format(L,np.dtype(dtype),Nf,norm(Ek-Ekz)) ) #check_t_z(4,np.complex128,Nf=(2,2)) #check_t_z(4,np.complex128) def check_t_p(L,dtype,Nf=None): hx=random() h=[[hx,i] for i in range(L)] J=random() J=[[J,i,i] for i in range(L)] J0=random() J2p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J2m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] J0=random() J1p=[[2.0*J0-1.0,i,(i+1)%L] for i in range(L)] J1m=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",J1p],["-+|",J1m],["|+-",J2p],["|-+",J2m],["z|",h]] else: static=[["z|z",J],["+|",h],["-|",h],["|+",h],["|-",h]] L_2=int(L/2) if dtype is np.float32: kdtype = np.complex64 elif dtype is np.float64: kdtype = np.complex128 else: kdtype = dtype for kblock in range(-L_2+1,0): basisk=spinful_fermion_basis_1d(L=L,kblock=kblock) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,kblock=kblock,pblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,kblock=kblock,pblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t p+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t p- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek2)) ) basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0,pblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0,pblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() Ekp=np.append(Ek1,Ek2) Ekp.sort() if norm(Ek-Ekp) > eps(dtype): raise Exception( "test failed t p symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,0,np.dtype(dtype),Nf,norm(Ek-Ekp)) ) if L%2 == 0: for kblock in range(1,L_2): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t p+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t p- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2,pblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2,pblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() Ekp=np.append(Ek1,Ek2) Ekp.sort() if norm(Ek-Ekp) > eps(dtype): raise Exception( "test failed t p symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,int(L/2),np.dtype(dtype),Nf,norm(Ek-Ekp)) ) else: for kblock in range(1,L_2+1): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t p+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t p- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek2)) ) #check_t_p(4,np.complex128,Nf=(3,4)) #check_t_p(4,np.complex128) def check_t_pz(L,dtype,Nf=None): h0=random() h=[[h0,i] for i in range(L)] J=[[1.0,i,i] for i in range(L)] J0=random() Jp=[[ 2.0*J0-1.0 ,i,(i+1)%L] for i in range(L)] Jm=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] static=[["z|z",J],["+-|",Jp],["-+|",Jm],["|+-",Jp],["|-+",Jm],["z|",h],["|z",h]] if dtype is np.float32: kdtype = np.complex64 elif dtype is np.float64: kdtype = np.complex128 else: kdtype = dtype a=2 L_2=int(L/(a*2)) for kblock in range(-L_2+1,0): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t pz+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t pz- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek2)) ) basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0,a=a) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0,a=a,psblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=0,a=a,psblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() Ekp=np.append(Ek1,Ek2) Ekp.sort() if norm(Ek-Ekp) > eps(dtype): raise Exception( "test failed t pz symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,0,np.dtype(dtype),Nf,norm(Ek-Ekp)) ) if((L/a)%2 == 0): for kblock in range(1,L_2): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t pz+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nup={3} {4}".format(L,kblock,np.dtype(dtype),Nup,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t pz- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nup={3} {4}".format(L,kblock,np.dtype(dtype),Nup,norm(Ek-Ek2)) ) basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2,a=a) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2,a=a,psblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=L_2,a=a,psblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() Ekp=np.append(Ek1,Ek2) Ekp.sort() if norm(Ek-Ekp) > eps(dtype): raise Exception( "test failed t pz symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nup={3} {4}".format(L,int(L/2),np.dtype(dtype),Nup,norm(Ek-Ekp)) ) else: for kblock in range(1,L_2+1): basisk=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a) Hk=hamiltonian(static,[],dtype=kdtype,basis=basisk,**no_checks) Ns=Hk.Ns Ek=Hk.eigvalsh() basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=+1) Hk1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,a=a,psblock=-1) Hk2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ek1=Hk1.eigvalsh() Ek2=Hk2.eigvalsh() if norm(Ek-Ek1) > eps(dtype): raise Exception( "test failed t pz+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek1)) ) if norm(Ek-Ek2) > eps(dtype): raise Exception( "test failed t pz- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ek-Ek2)) ) #check_t_pz(8,np.complex128,Nf=(4,4)) #check_t_pz(6,np.float32) def check_t_p_z(L,dtype,Nf=None): h0=random() h=[[h0,i] for i in range(L)] J=[[1.0,i,i] for i in range(L)] J0=random() Jp=[[ 2.0*J0-1.0 ,i,(i+1)%L] for i in range(L)] Jm=[[-(2.0*J0-1.0),i,(i+1)%L] for i in range(L)] if type(Nf) is tuple: if type(Nf[0]) is int and type(Nf[1]) is int: static=[["z|z",J],["+-|",Jp],["-+|",Jm],["|+-",Jp],["|-+",Jm],["z|",h],["|z",h]] else: static=[["z|z",J],["+|",h],["-|",h],["|+",h],["|-",h]] L_2=int(L/2) for kblock in range(-L_2+1,L_2+1): # print(kblock) basisk1=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=+1) Hkp1=hamiltonian(static,[],dtype=dtype,basis=basisk1,**no_checks) basisk2=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=-1) Hkp2=hamiltonian(static,[],dtype=dtype,basis=basisk2,**no_checks) Ns=Hkp1.Ns Ekp1=Hkp1.eigvalsh() Ekp2=Hkp2.eigvalsh() basisk11=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=+1,sblock=+1) Hkpz11=hamiltonian(static,[],dtype=dtype,basis=basisk11,**no_checks) basisk12=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=+1,sblock=-1) Hkpz12=hamiltonian(static,[],dtype=dtype,basis=basisk12,**no_checks) Ekpz11=Hkpz11.eigvalsh() Ekpz12=Hkpz12.eigvalsh() Ekpz1=np.concatenate((Ekpz11,Ekpz12)) Ekpz1.sort() basisk21=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=-1,sblock=+1) Hkpz21=hamiltonian(static,[],dtype=dtype,basis=basisk21,**no_checks) basisk22=spinful_fermion_basis_1d(L=L,Nf=Nf,kblock=kblock,pblock=-1,sblock=-1) Hkpz22=hamiltonian(static,[],dtype=dtype,basis=basisk22,**no_checks) Ekpz21=Hkpz21.eigvalsh() Ekpz22=Hkpz22.eigvalsh() Ekpz2=np.concatenate((Ekpz21,Ekpz22)) Ekpz2.sort() # print(basisk1) # print(basisk11) # print(basisk12) #exit() if norm(Ekp1-Ekpz1) > eps(dtype): raise Exception( "test failed t z p+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ekp1-Ekpz1)) ) if norm(Ekp2-Ekpz2) > eps(dtype): raise Exception( "test failed t z p- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ekp2-Ekpz2)) ) if(kblock not in [0,L_2]): if norm(Ekp2-Ekpz1) > eps(dtype): raise Exception( "test failed t z p+ symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ekp2-Ekpz1)) ) if norm(Ekp1-Ekpz2) > eps(dtype): raise Exception( "test failed t z p- symmetry at L={0:3d} kblock={1:3d} with dtype {2} and Nf={3} {4}".format(L,kblock,np.dtype(dtype),Nf,norm(Ekp1-Ekpz2)) ) #check_t_p_z(8,np.complex128,Nf=(4,4)) #check_t_p_z(6,np.complex128) def check_pbc(Lmax): for dtype in (np.complex64,np.complex128): for L in range(2,Lmax+1,1): check_t(L,dtype) for Nup in range(L+1): check_t(L,dtype,Nf=(Nup,L-Nup)) for dtype in (np.complex64,np.complex128): for L in range(2,Lmax+1,2): check_t_z(L,dtype,Nf=(L//2,L//2)) check_t_z(L,dtype) for dtype in dtypes: for L in range(2,Lmax+1,1): check_t_p(L,dtype) for Nup in range(L+1): check_t_p(L,dtype,Nf=(Nup,L-Nup)) for dtype in dtypes: for L in range(2,Lmax+1,2): check_t_pz(L,dtype,Nf=(L//2,L//2)) check_t_pz(L,dtype) for dtype in dtypes: for L in range(2,Lmax+1,2): check_t_p_z(L,dtype,Nf=(L//2,L//2)) check_t_p_z(L,dtype) check_m(4) check_obc(4) check_pbc(4) #print('GET RID OF NO_CHECKS') #print('RELEASE SEED')

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null

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3b62f3bfcba0c2da2ccb0950bca6eb4ec23b5372

35

py

Python

kzphoneme/__init__.py

Ardaq/kz_g2p

e725c6857a450c32b12689f4c7c7714fe3dedf87

[ "MIT" ]

3

2020-11-23T06:37:57.000Z

2021-09-22T06:21:02.000Z

kzphoneme/__init__.py

Ardaq/kz_g2p

e725c6857a450c32b12689f4c7c7714fe3dedf87

[ "MIT" ]

null

kzphoneme/__init__.py

Ardaq/kz_g2p

e725c6857a450c32b12689f4c7c7714fe3dedf87

[ "MIT" ]

1

2021-09-22T06:22:18.000Z

from kzphoneme.main import Phoneme

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3b63af1d15c77a2a243aa91e37a28a2868c401af

234

py

Python

infra/abstractS3.py

shu3-lab/ConvertingParquet

9ce021dc8fde6fed13e2c6c510627928215806c8

[ "Unlicense" ]

null

infra/abstractS3.py

shu3-lab/ConvertingParquet

9ce021dc8fde6fed13e2c6c510627928215806c8

[ "Unlicense" ]

null

infra/abstractS3.py

shu3-lab/ConvertingParquet

9ce021dc8fde6fed13e2c6c510627928215806c8

[ "Unlicense" ]

null

from abc import ABCMeta,abstractmethod class abstract_S3(metaclass=ABCMeta): @abstractmethod def from_S3(self,bucketname,filename): pass @abstractmethod def to_S3(self,bucketname,filename): pass

19.5

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null

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1

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6

3b94d4a0b983bdcc1402fc341e501c5e1c673adf

59

py

Python

src/gapp_login/wechat/__init__.py

decentfox/gapp-login

a2edf06b48a2d78c3928860a9a1f5ce26919ef8a

[ "BSD-3-Clause" ]

1

2020-06-29T04:19:08.000Z

src/gapp_login/wechat/__init__.py

decentfox/gapp-login

a2edf06b48a2d78c3928860a9a1f5ce26919ef8a

[ "BSD-3-Clause" ]

null

src/gapp_login/wechat/__init__.py

decentfox/gapp-login

a2edf06b48a2d78c3928860a9a1f5ce26919ef8a

[ "BSD-3-Clause" ]

2

2020-06-16T03:19:34.000Z

2020-07-15T08:50:09.000Z

from .clients import MiniProgramClient, OAuth2WeChatClient

29.5

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10.4

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1

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1

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1

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6

8e633049d057c411ef3258e8cdab40f4322d30cb

25

py

Python

notochord/test/ObjectStore/__init__.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

notochord/test/ObjectStore/__init__.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

notochord/test/ObjectStore/__init__.py

jroose/notochord

da9a6ff5d0fabbf0694d0bee1b81a240b66fa006

[ "MIT" ]

null

from .FileStore import *

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1

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1

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6

8e6f28c6a2ac4730a10308bf89cb9ccb9f65ecef

126

py

Python

panelctmc/__init__.py

kmedian/panelctmc

6ac9aa458a8e52f73e1e17dd4f2016703b4edbd7

[ "MIT" ]

1

2021-03-29T01:17:44.000Z

panelctmc/__init__.py

kmedian/panelctmc

6ac9aa458a8e52f73e1e17dd4f2016703b4edbd7

[ "MIT" ]

9

2018-10-05T12:39:48.000Z

2019-12-01T11:06:17.000Z

panelctmc/__init__.py

kmedian/panelctmc

6ac9aa458a8e52f73e1e17dd4f2016703b4edbd7

[ "MIT" ]

null

from .panel_to_datalist import panel_to_datalist from .panelctmc_class import PanelCtmc from .panelctmc_func import panelctmc

31.5

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1

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6

8e7323ed26f306d60397b94f783550c1b8fc360c

142

py

Python

general/util/__init__.py

duennbart/masterthesis_VAE

1a161bc5c234acc0a021d84cde8cd69e784174e1

[ "BSD-3-Clause" ]

14

2020-06-28T15:38:48.000Z

2021-12-05T01:49:50.000Z

general/util/__init__.py

duennbart/masterthesis_VAE

1a161bc5c234acc0a021d84cde8cd69e784174e1

[ "BSD-3-Clause" ]

null

general/util/__init__.py

duennbart/masterthesis_VAE

1a161bc5c234acc0a021d84cde8cd69e784174e1

[ "BSD-3-Clause" ]

3

2020-06-28T15:38:49.000Z

2022-02-13T22:04:34.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function from general.util.mssim import *

28.4

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5.736842

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true

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null

0

1

0

1

0

6

8e7f8052fb7b0b71bbeab81611aad3e213ccc117

33

py

Python

pyzfs/zfs/__init__.py

malramsay64/pyzfs

515b0f7a54b684d8af088dbd934414768715875e

[ "MIT" ]

5

2020-04-06T12:27:57.000Z

2021-11-04T16:47:31.000Z

pyzfs/zfs/__init__.py

malramsay64/pyzfs

515b0f7a54b684d8af088dbd934414768715875e

[ "MIT" ]

13

2020-03-13T00:06:51.000Z

2022-03-19T11:17:26.000Z

pyzfs/zfs/__init__.py

malramsay64/pyzfs

515b0f7a54b684d8af088dbd934414768715875e

[ "MIT" ]

7

2020-03-13T00:38:12.000Z

2021-11-23T22:48:43.000Z

from .main import ZFSCalculation

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1

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1

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1

0

1

0

6

8eb2d7e4ace2fb8fe72c6c1022d752135743b797

89

py

Python

osutk/blackhole/__init__.py

zardoru/osutk

70158073fee99c7d1a22ced13c83f937ed06a2dc

[ "Unlicense" ]

1

2016-04-08T11:59:50.000Z

osutk/blackhole/__init__.py

zardoru/osutk

70158073fee99c7d1a22ced13c83f937ed06a2dc

[ "Unlicense" ]

null

osutk/blackhole/__init__.py

zardoru/osutk

70158073fee99c7d1a22ced13c83f937ed06a2dc

[ "Unlicense" ]

null

from .compose import * from .cycle import * from .divisor import * from .emitter import *

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5.5

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1

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6

d92ec22396e632d976e444992d379781f777cf9a

960

py

Python

huaweicloud-sdk-codehub/huaweicloudsdkcodehub/v2/model/__init__.py

JeffreyDin/huaweicloud-sdk-python-v3

5a52828777594a3cc4acb3fd481c0e324a9fa3ab

[ "Apache-2.0" ]

null

huaweicloud-sdk-codehub/huaweicloudsdkcodehub/v2/model/__init__.py

JeffreyDin/huaweicloud-sdk-python-v3

5a52828777594a3cc4acb3fd481c0e324a9fa3ab

[ "Apache-2.0" ]

null

huaweicloud-sdk-codehub/huaweicloudsdkcodehub/v2/model/__init__.py

JeffreyDin/huaweicloud-sdk-python-v3

5a52828777594a3cc4acb3fd481c0e324a9fa3ab

[ "Apache-2.0" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: JeffreyDin @license: @contact: dingjianfeng15@gmail.com @software: @file: __init__.py.py @ide: PyCharm @time: 2021/5/18 18:44 @desc： """ from __future__ import absolute_import # import models into model package from huaweicloudsdkcodehub.v2.model.create_repository_request import CreateRepositoryRequest from huaweicloudsdkcodehub.v2.model.create_repository_request_body import CreateRepositoryRequestBody from huaweicloudsdkcodehub.v2.model.create_repository_response import CreateRepositoryResponse from huaweicloudsdkcodehub.v2.model.get_all_repository_by_projectid_request import GetAllRepositoryByProjectId2Request from huaweicloudsdkcodehub.v2.model.get_all_repository_by_projectid_response import GetAllRepositoryByProjectId2Response from huaweicloudsdkcodehub.v2.model.codehub_result import CodeHubResult from huaweicloudsdkcodehub.v2.model.codehub_repositories import CodeHubRepositories

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null

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1

0

1

0

6

d954c0a131825bf4df87028e46d3d7355f2f8e8f

123

py

Python

multiagent/algorithm/ucb.py

kiranprasad/multiagent-particle-envs

e28e3ff6606e80f11ee16bb2c42f21c442ad29a8

[ "MIT" ]

null

multiagent/algorithm/ucb.py

kiranprasad/multiagent-particle-envs

e28e3ff6606e80f11ee16bb2c42f21c442ad29a8

[ "MIT" ]

null

multiagent/algorithm/ucb.py

kiranprasad/multiagent-particle-envs

e28e3ff6606e80f11ee16bb2c42f21c442ad29a8

[ "MIT" ]

null

from math import sqrt, log def ucb(node): return node.value / node.visits + sqrt(log(node.parent.visits)/node.visits)

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null

0

1

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1

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6

d95ae7208bcba4bb91daf66a784871e0c7f5c2ee

6,870

py

Python

Helper/point_cloud.py

Baumwollboebele/python_algorithms

62330a047a2b8965ec81f51e45f4db74024693d6

[ "MIT" ]

null

Helper/point_cloud.py

Baumwollboebele/python_algorithms

62330a047a2b8965ec81f51e45f4db74024693d6

[ "MIT" ]

null

Helper/point_cloud.py

Baumwollboebele/python_algorithms

62330a047a2b8965ec81f51e45f4db74024693d6

[ "MIT" ]

null

from random import randint from math import cos, sin, radians class _Point2D: def __init__(self, x=None, y=None): """ Initializes a 2D point object with x and y coordinates. """ if x is None: x = randint(0, 50) if y is None: y = randint(0, 50) self.x = x self.y = y def __str__(self): return f"X: {self.x} Y: {self.y}" def __repr__(self): return f"X: {self.x} Y: {self.y}" class _Point3D: def __init__(self, x=None, y=None, z=None): """ Initializes a 3D point object wit x,y and z coordinates. Args: x (integer, optional): X coordinate. Defaults to randint(0, 50). y (integer, optional): Y coordinate. Defaults to randint(0, 50). z (integer, optional):Z. Defaults to randint(0, 50). """ if x is None: x = randint(0, 50) if y is None: y = randint(0, 50) if z is None: z = randint(0, 50) self.x = x self.y = y self.z = z def __str__(self): return f"X: {self.x} Y: {self.y} Z: {self.z}" def __repr__(self): return f"X: {self.x} Y: {self.y} Z: {self.z}" class _PointCloud: def __init__(self, size): self.size = size self.point_cloud = [] def get_x_values(self): """ Returns x values of all points. Returns: list: x-axis values """ values = [] for point in self.point_cloud: values.append(point.x) return values def get_y_values(self): """ Returns y values of all points. Returns: list: y-axis values """ values = [] for point in self.point_cloud: values.append(point.y) return values class PointCloud2D(_PointCloud): def __init__(self, size): """ Initializes a random Point cloud within a 2D coordinate system. Args: size (integer): number of points """ super().__init__(size) for _ in range(size): self.point_cloud.append(_Point2D()) def rotate(self, rotation): """ Rotation of the point cloud around the z axis with the angle [rotation]. Args: rotation (integer | float): angle of rotation """ rotation = radians(rotation) for point in self.point_cloud: x = point.x y = point.y point.x = round((x*cos(rotation)) - (y*sin(rotation)), 2) point.y = round((y*cos(rotation)) + (x*sin(rotation)), 2) return def translate(self, x, y): """ Translate the coordinates of the point cloud by x and y. Args: x (integer | float): translation by x y (integer | float ): translation by y """ for point in self.point_cloud: point.x += x point.y += y return def random_rotation(self): """ Applies a random rotation to the point cloud. """ self.rotate(randint(0, 360)) return def random_translation(self): """ Applies a random translation to the point cloud. """ self.translate(randint(0, 5), randint(0, 5)) return def randomize(self): """ Applize random translation and rotation to the point cloud. """ self.random_translation() self.random_rotation() return def get_centroid(self): x = sum(self.get_x_values()) / len(self.get_x_values()) y = sum(self.get_y_values()) / len(self.get_y_values()) return _Point2D(x,y) class PointCloud3D(_PointCloud): def __init__(self, size): """ Initializes a random Point cloud within a 3D coordinate system. Args: size (integer): number of points """ super().__init__(size) for _ in range(size): self.point_cloud.append(_Point3D()) def get_z_values(self): """ Returns z values of all points. Returns: list: z-axis values """ values = [] for point in self.point_cloud: values.append(point.z) return values def rotate_x_axis(self, rotation): """ Rotation of the Point Cloud around the X-Axis. Args: rotation (integer): angle of rotation """ rotation = radians(rotation) for point in self.point_cloud: point.y = round((point.y*cos(rotation)) - (point.z*sin(rotation)), 2) point.z = round((point.y*sin(rotation)) + (point.z*cos(rotation)), 2) return def rotate_y_axis(self, rotation): """ Rotation of the Point Cloud around the Y-Axis Args: rotation (integer): angle of rotation """ rotation = radians(rotation) for point in self.point_cloud: point.x = round((point.x*cos(rotation)) + (point.z*sin(rotation)), 2) point.z = round((-point.x*sin(rotation)) + (point.z*cos(rotation)), 2) return def rotate_z_axis(self, rotation): rotation = radians(rotation) for point in self.point_cloud: point.x = round((point.x*cos(rotation)) - (point.y*sin(rotation)), 2) point.x = round((point.x*sin(rotation)) + (point.y*cos(rotation)), 2) return def translate(self, x, y, z): """ Translate the coordinates of the point cloud by x and y. Args: x (integer | float): translation by x y (integer | float): translation by y z (integer | float): translation by z """ for point in self.point_cloud: point.x += x point.y += y point.z += z return def random_rotation(self): """ Applies a random rotation to the point cloud. """ self.rotate_x_axis(randint(0, 360)) self.rotate_y_axis(randint(0, 360)) self.rotate_z_axis(randint(0, 360)) return def random_translation(self): """ Applies a random translation to the point cloud. """ self.translate(randint(0, 5), randint(0, 5), randint(0, 5)) return def randomize(self): """ Applize random translation and rotation to the point cloud. """ self.random_translation() self.random_rotation() return def get_centroid(self): x = sum(self.get_x_values()) / len(self.get_x_values()) y = sum(self.get_y_values()) / len(self.get_y_values()) z = sum(self.get_z_values()) / len(self.get_z_values()) return _Point3D(x, y, z)

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d96095cfb6bde906def8dc842252efd88827a5be

152

py

Python

netmiko/keymile/__init__.py

josephwhite13/netmiko

c08c5ebb3484383f034e22b9576f88be07525f72

[ "MIT" ]

2,833

2015-01-04T20:04:10.000Z

2022-03-31T13:03:17.000Z

netmiko/keymile/__init__.py

josephwhite13/netmiko

c08c5ebb3484383f034e22b9576f88be07525f72

[ "MIT" ]

2,137

2015-01-28T17:33:41.000Z

2022-03-31T18:41:21.000Z

netmiko/keymile/__init__.py

georgesnow/netmiko

185f51ca5c24ea2977d6ca31db1ae263aa72cc12

[ "MIT" ]

1,367

2015-01-04T20:04:10.000Z

2022-03-31T19:13:28.000Z

from netmiko.keymile.keymile_ssh import KeymileSSH from netmiko.keymile.keymile_nos_ssh import KeymileNOSSSH __all__ = ["KeymileSSH", "KeymileNOSSSH"]

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d973a5aaa162bd85b869896c24c6158d13466dc0

158

py

Python

Packages/Dead/demo/Lib/__init__.py

xylar/cdat

8a5080cb18febfde365efc96147e25f51494a2bf

[ "BSD-3-Clause" ]

62

2018-03-30T15:46:56.000Z

2021-12-08T23:30:24.000Z

Packages/Dead/demo/Lib/__init__.py

xylar/cdat

8a5080cb18febfde365efc96147e25f51494a2bf

[ "BSD-3-Clause" ]

114

2018-03-21T01:12:43.000Z

2021-07-05T12:29:54.000Z

Packages/Dead/demo/Lib/__init__.py

CDAT/uvcdat

5133560c0c049b5c93ee321ba0af494253b44f91

[ "BSD-3-Clause" ]

14

2018-06-06T02:42:47.000Z

2021-11-26T03:27:00.000Z

from About import * from Args import * from DemoSet import * from DemoSplash import * from geoparse import * from MainDisplay import * from MainMenu import *

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79772d79e6e511a8dee9fd463d229b09ccb26bdd

46

py

Python

merit/__init__.py

tayrobin/merit

6274b5ca9f5f0962ca54c44d2adbd2a034188642

[ "MIT" ]

null

merit/__init__.py

tayrobin/merit

6274b5ca9f5f0962ca54c44d2adbd2a034188642

[ "MIT" ]

null

merit/__init__.py

tayrobin/merit

6274b5ca9f5f0962ca54c44d2adbd2a034188642

[ "MIT" ]

null

from .merit import Merit from .org import Org

15.333333

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6

79d2ca3c3501467105a969c028a5b55bec45812b

39

py

Python

python/ql/test/library-tests/PointsTo/regressions/wrong/module-imports/conflict-stdlib/code-invalid-package-name/unique_name_use.py

timoles/codeql

2d24387e9e300bf03be35694816b1e76ae88a50c

[ "MIT" ]

4,036

2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/test/library-tests/PointsTo/regressions/wrong/module-imports/conflict-stdlib/code-invalid-package-name/unique_name_use.py

baby636/codeql

097b6e5e3364ecc7103586d6feb308861e15538e

[ "MIT" ]

2,970

2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/test/library-tests/PointsTo/regressions/wrong/module-imports/conflict-stdlib/code-invalid-package-name/unique_name_use.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

from unique_name import foo print(foo)

13

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8db632eff1be39954e33b6fb7a47f71e55b16be2

101

py

Python

bard/__init__.py

Xevib/bard

922763027e013ff287aeb7ee67f24e9d980c1267

[ "BSD-3-Clause" ]

1

2022-02-03T17:31:56.000Z

bard/__init__.py

Xevib/bard

922763027e013ff287aeb7ee67f24e9d980c1267

[ "BSD-3-Clause" ]

26

2018-02-11T19:56:18.000Z

2021-03-31T19:08:40.000Z

bard/__init__.py

Xevib/bard

922763027e013ff287aeb7ee67f24e9d980c1267

[ "BSD-3-Clause" ]

null

from __future__ import absolute_import from bard.bard import Bard from bard.bard import ChangeHandler

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6

8dc9ba81d214257b682c4125705dedfae7ecb6c8

19,063

py

Python

tests/test_swf/responses/test_activity_tasks.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

5,460

2015-01-01T01:11:17.000Z

2022-03-31T23:45:38.000Z

tests/test_swf/responses/test_activity_tasks.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

4,475

2015-01-05T19:37:30.000Z

2022-03-31T13:55:12.000Z

tests/test_swf/responses/test_activity_tasks.py

gtourkas/moto

307104417b579d23d02f670ff55217a2d4a16bee

[ "Apache-2.0" ]

1,831

2015-01-14T00:00:44.000Z

2022-03-31T20:30:04.000Z

from boto.swf.exceptions import SWFResponseError from botocore.exceptions import ClientError from freezegun import freeze_time import sure # noqa # pylint: disable=unused-import from unittest import SkipTest import pytest from moto import mock_swf, mock_swf_deprecated from moto import settings from moto.swf import swf_backend from ..utils import setup_workflow, SCHEDULE_ACTIVITY_TASK_DECISION from ..utils import setup_workflow_boto3 # PollForActivityTask endpoint # Has boto3 equivalent @mock_swf_deprecated def test_poll_for_activity_task_when_one(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) resp = conn.poll_for_activity_task( "test-domain", "activity-task-list", identity="surprise" ) resp["activityId"].should.equal("my-activity-001") resp["taskToken"].should_not.be.none resp = conn.get_workflow_execution_history( "test-domain", conn.run_id, "uid-abcd1234" ) resp["events"][-1]["eventType"].should.equal("ActivityTaskStarted") resp["events"][-1]["activityTaskStartedEventAttributes"].should.equal( {"identity": "surprise", "scheduledEventId": 5} ) @mock_swf def test_poll_for_activity_task_when_one_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) resp = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"}, identity="surprise", ) resp["activityId"].should.equal("my-activity-001") resp["taskToken"].should_not.be.none resp = client.get_workflow_execution_history( domain="test-domain", execution={"runId": client.run_id, "workflowId": "uid-abcd1234"}, ) resp["events"][-1]["eventType"].should.equal("ActivityTaskStarted") resp["events"][-1]["activityTaskStartedEventAttributes"].should.equal( {"identity": "surprise", "scheduledEventId": 5} ) # Has boto3 equivalent @mock_swf_deprecated def test_poll_for_activity_task_when_none(): conn = setup_workflow() resp = conn.poll_for_activity_task("test-domain", "activity-task-list") resp.should.equal({"startedEventId": 0}) # Has boto3 equivalent @mock_swf_deprecated def test_poll_for_activity_task_on_non_existent_queue(): conn = setup_workflow() resp = conn.poll_for_activity_task("test-domain", "non-existent-queue") resp.should.equal({"startedEventId": 0}) @pytest.mark.parametrize("task_name", ["activity-task-list", "non-existent-queue"]) @mock_swf def test_poll_for_activity_task_when_none_boto3(task_name): client = setup_workflow_boto3() resp = client.poll_for_decision_task( domain="test-domain", taskList={"name": task_name} ) resp.shouldnt.have.key("taskToken") resp.should.have.key("startedEventId").equal(0) resp.should.have.key("previousStartedEventId").equal(0) # CountPendingActivityTasks endpoint # Has boto3 equivalent @mock_swf_deprecated def test_count_pending_activity_tasks(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) resp = conn.count_pending_activity_tasks("test-domain", "activity-task-list") resp.should.equal({"count": 1, "truncated": False}) # Has boto3 equivalent @mock_swf_deprecated def test_count_pending_decision_tasks_on_non_existent_task_list(): conn = setup_workflow() resp = conn.count_pending_activity_tasks("test-domain", "non-existent") resp.should.equal({"count": 0, "truncated": False}) @pytest.mark.parametrize( "task_name,cnt", [("activity-task-list", 1), ("non-existent", 0)] ) @mock_swf def test_count_pending_activity_tasks_boto3(task_name, cnt): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) resp = client.count_pending_activity_tasks( domain="test-domain", taskList={"name": task_name} ) resp.should.have.key("count").equal(cnt) resp.should.have.key("truncated").equal(False) # RespondActivityTaskCompleted endpoint # Has boto3 equivalent @mock_swf_deprecated def test_respond_activity_task_completed(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = conn.poll_for_activity_task("test-domain", "activity-task-list")[ "taskToken" ] resp = conn.respond_activity_task_completed( activity_token, result="result of the task" ) resp.should.be.none resp = conn.get_workflow_execution_history( "test-domain", conn.run_id, "uid-abcd1234" ) resp["events"][-2]["eventType"].should.equal("ActivityTaskCompleted") resp["events"][-2]["activityTaskCompletedEventAttributes"].should.equal( {"result": "result of the task", "scheduledEventId": 5, "startedEventId": 6} ) @mock_swf def test_respond_activity_task_completed_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] client.respond_activity_task_completed( taskToken=activity_token, result="result of the task" ) resp = client.get_workflow_execution_history( domain="test-domain", execution={"runId": client.run_id, "workflowId": "uid-abcd1234"}, ) resp["events"][-2]["eventType"].should.equal("ActivityTaskCompleted") resp["events"][-2]["activityTaskCompletedEventAttributes"].should.equal( {"result": "result of the task", "scheduledEventId": 5, "startedEventId": 6} ) # Has boto3 equivalent @mock_swf_deprecated def test_respond_activity_task_completed_on_closed_workflow_execution(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = conn.poll_for_activity_task("test-domain", "activity-task-list")[ "taskToken" ] # bad: we're closing workflow execution manually, but endpoints are not # coded for now.. wfe = swf_backend.domains[0].workflow_executions[-1] wfe.execution_status = "CLOSED" # /bad conn.respond_activity_task_completed.when.called_with(activity_token).should.throw( SWFResponseError, "WorkflowExecution=" ) @mock_swf def test_respond_activity_task_completed_on_closed_workflow_execution_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] client.terminate_workflow_execution(domain="test-domain", workflowId="uid-abcd1234") with pytest.raises(ClientError) as ex: client.respond_activity_task_completed(taskToken=activity_token) ex.value.response["Error"]["Code"].should.equal("UnknownResourceFault") ex.value.response["Error"]["Message"].should.equal( "Unknown execution: WorkflowExecution=[workflowId=uid-abcd1234, runId={}]".format( client.run_id ) ) ex.value.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400) # Has boto3 equivalent @mock_swf_deprecated def test_respond_activity_task_completed_with_task_already_completed(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = conn.poll_for_activity_task("test-domain", "activity-task-list")[ "taskToken" ] conn.respond_activity_task_completed(activity_token) conn.respond_activity_task_completed.when.called_with(activity_token).should.throw( SWFResponseError, "Unknown activity, scheduledEventId = 5" ) @mock_swf def test_respond_activity_task_completed_with_task_already_completed_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] client.respond_activity_task_completed(taskToken=activity_token) with pytest.raises(ClientError) as ex: client.respond_activity_task_completed(taskToken=activity_token) ex.value.response["Error"]["Code"].should.equal("UnknownResourceFault") ex.value.response["Error"]["Message"].should.equal( "Unknown activity, scheduledEventId = 5" ) ex.value.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400) # RespondActivityTaskFailed endpoint # Has boto3 equivalent @mock_swf_deprecated def test_respond_activity_task_failed(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = conn.poll_for_activity_task("test-domain", "activity-task-list")[ "taskToken" ] resp = conn.respond_activity_task_failed( activity_token, reason="short reason", details="long details" ) resp.should.be.none resp = conn.get_workflow_execution_history( "test-domain", conn.run_id, "uid-abcd1234" ) resp["events"][-2]["eventType"].should.equal("ActivityTaskFailed") resp["events"][-2]["activityTaskFailedEventAttributes"].should.equal( { "reason": "short reason", "details": "long details", "scheduledEventId": 5, "startedEventId": 6, } ) @mock_swf def test_respond_activity_task_failed_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] client.respond_activity_task_failed( taskToken=activity_token, reason="short reason", details="long details" ) resp = client.get_workflow_execution_history( domain="test-domain", execution={"runId": client.run_id, "workflowId": "uid-abcd1234"}, ) resp["events"][-2]["eventType"].should.equal("ActivityTaskFailed") resp["events"][-2]["activityTaskFailedEventAttributes"].should.equal( { "reason": "short reason", "details": "long details", "scheduledEventId": 5, "startedEventId": 6, } ) # Has boto3 equivalent @mock_swf_deprecated def test_respond_activity_task_completed_with_wrong_token(): # NB: we just test ONE failure case for RespondActivityTaskFailed # because the safeguards are shared with RespondActivityTaskCompleted, so # no need to retest everything end-to-end. conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) conn.poll_for_activity_task("test-domain", "activity-task-list") conn.respond_activity_task_failed.when.called_with( "not-a-correct-token" ).should.throw(SWFResponseError, "Invalid token") @mock_swf def test_respond_activity_task_completed_with_wrong_token_boto3(): # NB: we just test ONE failure case for RespondActivityTaskFailed # because the safeguards are shared with RespondActivityTaskCompleted, so # no need to retest everything end-to-end. client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] with pytest.raises(ClientError) as ex: client.respond_activity_task_failed(taskToken="not-a-correct-token") ex.value.response["Error"]["Code"].should.equal("ValidationException") ex.value.response["Error"]["Message"].should.equal("Invalid token") ex.value.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400) # RecordActivityTaskHeartbeat endpoint # Has boto3 equivalent @mock_swf_deprecated def test_record_activity_task_heartbeat(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = conn.poll_for_activity_task("test-domain", "activity-task-list")[ "taskToken" ] resp = conn.record_activity_task_heartbeat(activity_token) resp.should.equal({"cancelRequested": False}) @mock_swf def test_record_activity_task_heartbeat_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] resp = client.record_activity_task_heartbeat(taskToken=activity_token) resp.should.have.key("cancelRequested").equal(False) # Has boto3 equivalent @mock_swf_deprecated def test_record_activity_task_heartbeat_with_wrong_token(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) conn.poll_for_activity_task("test-domain", "activity-task-list")["taskToken"] conn.record_activity_task_heartbeat.when.called_with( "bad-token", details="some progress details" ).should.throw(SWFResponseError) @mock_swf def test_record_activity_task_heartbeat_with_wrong_token_boto3(): client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] with pytest.raises(ClientError) as ex: client.record_activity_task_heartbeat(taskToken="bad-token") ex.value.response["Error"]["Code"].should.equal("ValidationException") ex.value.response["Error"]["Message"].should.equal("Invalid token") ex.value.response["ResponseMetadata"]["HTTPStatusCode"].should.equal(400) # Has boto3 equivalent @mock_swf_deprecated def test_record_activity_task_heartbeat_sets_details_in_case_of_timeout(): conn = setup_workflow() decision_token = conn.poll_for_decision_task("test-domain", "queue")["taskToken"] conn.respond_decision_task_completed( decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) with freeze_time("2015-01-01 12:00:00"): activity_token = conn.poll_for_activity_task( "test-domain", "activity-task-list" )["taskToken"] conn.record_activity_task_heartbeat( activity_token, details="some progress details" ) with freeze_time("2015-01-01 12:05:30"): # => Activity Task Heartbeat timeout reached!! resp = conn.get_workflow_execution_history( "test-domain", conn.run_id, "uid-abcd1234" ) resp["events"][-2]["eventType"].should.equal("ActivityTaskTimedOut") attrs = resp["events"][-2]["activityTaskTimedOutEventAttributes"] attrs["details"].should.equal("some progress details") @mock_swf def test_record_activity_task_heartbeat_sets_details_in_case_of_timeout_boto3(): if settings.TEST_SERVER_MODE: raise SkipTest("Unable to manipulate time in ServerMode") client = setup_workflow_boto3() decision_token = client.poll_for_decision_task( domain="test-domain", taskList={"name": "queue"} )["taskToken"] client.respond_decision_task_completed( taskToken=decision_token, decisions=[SCHEDULE_ACTIVITY_TASK_DECISION] ) with freeze_time("2015-01-01 12:00:00"): activity_token = client.poll_for_activity_task( domain="test-domain", taskList={"name": "activity-task-list"} )["taskToken"] client.record_activity_task_heartbeat( taskToken=activity_token, details="some progress details" ) with freeze_time("2015-01-01 12:05:30"): # => Activity Task Heartbeat timeout reached!! resp = client.get_workflow_execution_history( domain="test-domain", execution={"runId": client.run_id, "workflowId": "uid-abcd1234"}, ) resp["events"][-2]["eventType"].should.equal("ActivityTaskTimedOut") attrs = resp["events"][-2]["activityTaskTimedOutEventAttributes"] attrs["details"].should.equal("some progress details")

37.305284

90

0.720506

2,191

19,063

5.960749

0.089

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0.031853

0.036371

0.886217

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0.814778

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510

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37.378431

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0.086849

0

null

0

1

0

null

0

6

5c33980f49792d2a64714ed7a93da999da37c2ad

3,866

py

Python

jstc/engines/test_handlebars.py

canaryhealth/jstc

d4be1f213e041b80708e8a7e40edfe2ae308b637

[ "MIT" ]

null

jstc/engines/test_handlebars.py

canaryhealth/jstc

d4be1f213e041b80708e8a7e40edfe2ae308b637

[ "MIT" ]

null

jstc/engines/test_handlebars.py

canaryhealth/jstc

d4be1f213e041b80708e8a7e40edfe2ae308b637

[ "MIT" ]

null

# -*- coding: utf-8 -*- #------------------------------------------------------------------------------ # file: $Id$ # auth: Philip J Grabner <phil@canary.md> # date: 2016/09/15 # copy: (C) Copyright 2016-EOT Canary Health, Inc., All Rights Reserved. #------------------------------------------------------------------------------ import unittest from .. import api #------------------------------------------------------------------------------ class TestHandlebarsEngine(unittest.TestCase): #---------------------------------------------------------------------------- def test_partial(self): try: from .handlebars import HandlebarsEngine # todo: make the compiler version details regex'ed... self.assertEqual( HandlebarsEngine().precompile('hello, world!', {'name': 'foo', 'partial': True}), ('application/javascript-fragment', '''\ {"compiler":[7,">= 4.0.0"],"main":function(container,depth0,helpers,partials,data) { return "hello, world!"; },"useData":true}''')) except api.PrecompilerUnavailable: raise unittest.SkipTest( 'handlebars executable not available (use "npm install handlebars")') #---------------------------------------------------------------------------- def test_assemble(self): try: from .handlebars import HandlebarsEngine comp = HandlebarsEngine() parts = [] for name, text in [ ('hello', 'hello, world!'), ('hello/name', 'hello, {{name}}!'), ]: attrs = dict(name=name, partial=True) parts.append(comp.precompile(text, attrs) + (attrs,)) # todo: make the compiler version details regex'ed... self.assertEqual( comp.assemble(parts), ('application/javascript', '''\ (function(){var t=Handlebars.template,ts=Handlebars.templates=Handlebars.templates||{};ts["hello"]=t({"compiler":[7,">= 4.0.0"],"main":function(container,depth0,helpers,partials,data) { return "hello, world!"; },"useData":true});ts["hello/name"]=t({"compiler":[7,">= 4.0.0"],"main":function(container,depth0,helpers,partials,data) { var helper; return "hello, " + container.escapeExpression(((helper = (helper = helpers.name || (depth0 != null ? depth0.name : depth0)) != null ? helper : helpers.helperMissing),(typeof helper === "function" ? helper.call(depth0 != null ? depth0 : {},{"name":"name","hash":{},"data":data}) : helper))) + "!"; },"useData":true});})();''')) except api.PrecompilerUnavailable: raise unittest.SkipTest( 'handlebars executable not available (use "npm install handlebars")') #---------------------------------------------------------------------------- def test_standalone(self): try: from .handlebars import HandlebarsEngine # todo: make the compiler version details regex'ed... self.assertEqual( HandlebarsEngine().precompile('this is {{name}}', {'name': 'foo'}), ('application/javascript', '''\ (function(){var t=Handlebars.template,ts=Handlebars.templates=Handlebars.templates||{};ts["foo"]=t({"compiler":[7,">= 4.0.0"],"main":function(container,depth0,helpers,partials,data) { var helper; return "this is " + container.escapeExpression(((helper = (helper = helpers.name || (depth0 != null ? depth0.name : depth0)) != null ? helper : helpers.helperMissing),(typeof helper === "function" ? helper.call(depth0 != null ? depth0 : {},{"name":"name","hash":{},"data":data}) : helper))); },"useData":true});})();''')) except api.PrecompilerUnavailable: raise unittest.SkipTest( 'handlebars executable not available (use "npm install handlebars")') #------------------------------------------------------------------------------ # end of $Id$ # $ChangeLog$ #------------------------------------------------------------------------------

44.953488

277

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3,866

5.845714

0.302857

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0.01955

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0.762463

0.741447

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3,866

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0

null

0

1

0

null

0

1

0

6

308ca2d2472880b0da634185070429e05d278732

95

py

Python

instagram_api/exceptions/sentry_block.py

Yuego/instagram_api

b53f72db36c505a2eb24ebac1ba8267a0cc295bb

[ "MIT" ]

13

2019-08-07T21:24:34.000Z

2020-12-12T12:23:50.000Z

instagram_api/exceptions/sentry_block.py

Yuego/instagram_api

b53f72db36c505a2eb24ebac1ba8267a0cc295bb

[ "MIT" ]

null

instagram_api/exceptions/sentry_block.py

Yuego/instagram_api

b53f72db36c505a2eb24ebac1ba8267a0cc295bb

[ "MIT" ]

null

from .request import RequestException class SentryBlockException(RequestException): pass

15.833333

45

0.821053

8

95

9.75

0.875

0

0.136842

95

5

46

19

0.95122

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true

0.333333

0

0.666667

0

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null

0

1

0

null

0

1

0

1

0

6

30b4933f47a82ede24d0a0e7152602edab6bb49b

268

py

Python

hacker/challenges/crypto/make_money_fast.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

1

2020-04-21T11:39:25.000Z

hacker/challenges/crypto/make_money_fast.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

7

2020-02-12T01:08:01.000Z

2022-02-10T11:56:56.000Z

hacker/challenges/crypto/make_money_fast.py

Tenebrar/codebase

59c9a35289fb29afedad0e3edd0519b67372ef9f

[ "Unlicense" ]

null

# Decode with spammimic.com (it's encoded in a lot more than just punctuation, but there's no exact explanation) # Every changed bit changes a select part of the generated spam, but there's no real value to learning to decode it print("The answer is 'bezahler4ever'")

67

115

0.776119

47

268

4.425532

0.787234

0.076923

0.086538

0.105769

0

0.004464

0.164179

268

3

116

89.333333

0.924107

0.835821

0

1

0

0.707317

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

1

0

6

30d9589eb3330a7a3eb462950686fdeaa041130c

190

py

Python

exercises/chapter02/test_02_10.py

deep-diver/fastai-course

1a0a39311fba0e1b3f4720a612a17dc7c708d9bb

[ "MIT" ]

null

exercises/chapter02/test_02_10.py

deep-diver/fastai-course

1a0a39311fba0e1b3f4720a612a17dc7c708d9bb

[ "MIT" ]

null

exercises/chapter02/test_02_10.py

deep-diver/fastai-course

1a0a39311fba0e1b3f4720a612a17dc7c708d9bb

[ "MIT" ]

null

def test(): assert "learner.summary()" in __solution__, "summary() 메서드를 사용하셨나요?" assert "learner.unfreeze()" in __solution__, "unfreeze() 메서드를 사용하셨나요?" __msg__.good("잘 하셨습니다!")

31.666667

74

0.673684

22

190

5.272727

0.636364

0.224138

0

0.163158

190

5

75

38

0.72956

0

0.463158

0

0.5

1

0.25

true

0

0.25

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

30dfda242f67a38a0622bfdb5305cd9bd49868fa

44

py

Python

ticc/utils.py

gioxc88/ticc

7704d7c6ca8c53d9eba994ba3154ffc0b0e1faef

[ "MIT" ]

null

ticc/utils.py

gioxc88/ticc

7704d7c6ca8c53d9eba994ba3154ffc0b0e1faef

[ "MIT" ]

1

2021-03-16T07:30:20.000Z

2021-03-18T06:11:31.000Z

ticc/utils.py

gioxc88/ticc

7704d7c6ca8c53d9eba994ba3154ffc0b0e1faef

[ "MIT" ]

null

import numpy as np from scipy import stats

11

23

0.795455

8

44

4.375

0.875

0

0.204545

44

3

24

14.666667

1

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

ebd5a255f1914ffe249931d7c2bbad03d1fd8026

148

py

Python

utils/__init__.py

Riroaki/LemonML-

3bb344c135e4dd7dab63a4fd2184ac0aaacc367d

[ "MIT" ]

34

2019-06-23T03:45:41.000Z

2021-11-30T12:28:41.000Z

utils/__init__.py

Riroaki/LemonML-

3bb344c135e4dd7dab63a4fd2184ac0aaacc367d

[ "MIT" ]

null

utils/__init__.py

Riroaki/LemonML-

3bb344c135e4dd7dab63a4fd2184ac0aaacc367d

[ "MIT" ]

5

2019-06-14T09:41:24.000Z

2019-10-23T11:21:22.000Z

import utils._cross_validate as cross_validate import utils._scaling as scaling from utils._batch import batch import utils._make_data as make_data

29.6

46

0.864865

24

148

5

0.416667

0.275

0

0.108108

148

4

47

37

0.909091

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

692071d62b9b2b1be70e7be550a9922cbc54df90

1,810

py

Python

imagersite/imager_images/forms.py

brandonholderman/django-imager

7538c843ca575415b3ac303e832147803e68419f

[ "MIT" ]

null

imagersite/imager_images/forms.py

brandonholderman/django-imager

7538c843ca575415b3ac303e832147803e68419f

[ "MIT" ]

5

2018-04-27T06:53:27.000Z

2018-05-11T03:18:12.000Z

imagersite/imager_images/forms.py

brandonholderman/django-imager

7538c843ca575415b3ac303e832147803e68419f

[ "MIT" ]

null

from django.forms import ModelForm from .models import Photo, Album class PhotoForm(ModelForm): """Form for adding photo.""" class Meta: model = Photo fields = ['image', 'album', 'title', 'description', 'published'] # import pdb; pdb.set_trace() def __init__(self, *args, **kwargs): username = kwargs.pop('username') super().__init__(*args, **kwargs) self.fields['album'].queryset = Album.objects.filter( user__username=username) class AlbumForm(ModelForm): """Form for adding albums.""" class Meta: model = Album fields = ['cover_image', 'name', 'description', 'published'] # import pdb; pdb.set_trace() def __init__(self, *args, **kwargs): username = kwargs.pop('username') super().__init__(*args, **kwargs) self.fields['cover_image'].queryset = Photo.objects.filter( album__user__username=username) class PhotoEditForm(ModelForm): """Form for editing photo info.""" class Meta: model = Photo fields = ['album', 'title', 'description', 'published'] def __init__(self, *args, **kwargs): username = kwargs.pop('username') super().__init__(*args, **kwargs) self.fields['album'].queryset = Album.objects.filter( user__username=username) class AlbumEditForm(ModelForm): """Form for editing album info.""" class Meta: model = Album fields = ['cover_image', 'name', 'description', 'published'] def __init__(self, *args, **kwargs): username = kwargs.pop('username') super().__init__(*args, **kwargs) self.fields['cover_image'].queryset = Photo.objects.filter( album__user__username=username)

31.754386

72

0.6

185

1,810

5.6

0.232432

0.07722

0.061776

0.057915

0.754826

0.706564

0

0.256354

1,810

56

73

32.321429

0.769688

0.08895

0

0.789474

0

0.122311

0

1

0.105263

false

0

0.052632

0

0.368421

0

null

0

1

0

1

0

null

0

6

693da5445ec466f1b982891ea075e9d39dc32238

39

py

Python

tests/conftest.py

marctom/GPflow

649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f

[ "Apache-2.0" ]

1

2020-01-27T19:05:28.000Z

tests/conftest.py

marctom/GPflow

649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f

[ "Apache-2.0" ]

null

tests/conftest.py

marctom/GPflow

649b039b685e2c158bdaac3ecd8c2ad3ee18bc8f

[ "Apache-2.0" ]

null

from gpflow.test_util import session_tf

39

0.897436

7

39

4.714286

1

0

0.076923

39

1

39

0.916667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

6970c4d5773551301ba50fe97d48ad4404687383

124

py

Python

torch_geometric/utils/num_nodes.py

DL-85/pytorch_geometric

eb12a94a667e881c4a6bff26b0453428bcb72393

[ "MIT" ]

62

2018-12-12T16:06:34.000Z

2022-02-18T11:32:04.000Z

torch_geometric/utils/num_nodes.py

chentingpc/pytorch_geometric

44c4c5069dbc4c8a96761a3b5a7e7b45c8352a53

[ "MIT" ]

2

2019-12-26T12:51:47.000Z

2020-09-02T10:39:55.000Z

torch_geometric/utils/num_nodes.py

chentingpc/pytorch_geometric

44c4c5069dbc4c8a96761a3b5a7e7b45c8352a53

[ "MIT" ]

19

2018-12-12T17:51:43.000Z

2021-09-19T08:01:29.000Z

def maybe_num_nodes(edge_index, num_nodes=None): return edge_index.max().item() + 1 if num_nodes is None else num_nodes

41.333333

74

0.766129

23

124

3.826087

0.608696

0.363636

0

0.009346

0.137097

124

2

75

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